Split (3)

train · 796k rows

input stringlengths 20 5.6k	output stringlengths 0 17.9k
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 15 august 2012 \| ullevaal stadion, \| norway \| 1-3 \| 2-3 \| friendly row 2 : 2 \| 11 september 2012 \| karaiskakis stadium, pir \| lithuania \| 2-0 \| 2-0 \| 2014 fifa world cup qualifier row 3 : 3 \| 14 august 2013 \| red bull arena, salzburg, austria \| austria \| 0-1 \| 0-2 \| friendly row 4 : 4 \| 14 august 2013 \| red bull arena, salzburg, austria \| austria \| 0-2 \| 0-2 \| friendly row 5 : 5 \| 6 september 2013 \| rheinpark stadion, \| liechtenstein \| 0-1 \| 0-1 \| 2014 fifa world cup qualifier row 6 : 6 \| 15 november 2013 \| karaiskakis stadium, pir \| romania \| 1-0 \| 3-1 \| 2014 fifa world cup qualifier - row 7 : 7 \| 15 november 2013 \| karaiskakis stadium, pir \| romania \| 3-1 \| 3-1 \| 2014 fifa world cup qualifier - row 8 : 8 \| 19 november 2013 \| arena nationala, bucharest, roman \| romania \| 0-1 \| 1-1 \| 2014 fifa world cup qualifier - ] Execute this SQL based on the above table: select # where result = '0-2'	3.0, 4.0
[ header: # \| player \| position \| height \| current club row 1 : 4 \| garreth lodge \| point guard \| 1.85 \| edinburgh kings row 2 : 5 \| patrick campbell \| shooting guard \| 1.93 \| edinburgh kings row 3 : 6 \| grant gibson \| point guard \| 1.82 \| e.lothian b row 4 : 7 \| laurie costello \| point guard \| 1.87 \| edinburgh kings row 5 : 8 \| josh crolley \| small forward \| 1.98 \| troon tornadoes row 6 : 9 \| daniel donnelly \| small forward \| 1.98 \| troon tornadoes row 7 : 10 \| michael lynn \| forward \| None \| st. mirren row 8 : 11 \| ross campbell \| forward \| 1.98 \| troon tornadoes row 9 : 12 \| steven leven \| forward \| 1.97 \| arkadikos row 10 : 13 \| thomas pearson \| center \| 2 \| manchester magic row 11 : 14 \| ikemefuna attah \| power forward \| 1.98 \| tees valley mohawks row 12 : 15 \| simon flockhart \| center \| 2.1 \| edinburgh kings ] Execute this SQL based on the above table: select position order by position desc limit 1	small forward
[ header: station complex \| individual stations \| lines \| services \| notes row 1 : 42nd street / fifth avenue - br \| fifth avenue \| irt flushing line \| 7 <7> \| a paper transfer was added between the ind row 2 : 50th street \| upper level \| ind eighth avenue line \| a c \| the station became a transfer station when the queen row 3 : lexington avenue / 51st \| 51st street \| irt lexington avenue line \| 4 6 <6> \| a passageway connects these two stations on row 4 : seventh avenue \| cross-platform interchange on two levels \| ind sixth avenue line \| b d \| the station became a transfer station when the sixth row 5 : 59th street - columbus circle \| 59th street - columbus circle \| irt broadway - seventh avenue \| 1 2 \| the irt broadway - seventh row 6 : 59th street - columbus circle \| 59th street - columbus circle \| ind eighth avenue line \| a b c d \| the irt broadway - seventh row 7 : lexington avenue / 59th- \| 59th street \| irt lexington avenue line \| 4 5 6 <6> \| the passageways between the broadway line and the row 8 : 168th street \| 168th street \| irt broadway - seventh avenue \| 1 \| at the crossing of the irt broad ] Execute this SQL based on the above table: select ( select station complex where individual stations = '59th street - columbus circle' ) - ( select services where individual stations = '59th street - columbus circle' )	58
[ header: week \| date \| opponent \| results final score \| results team record \| venue \| attendance row 1 : 1 \| september 20 \| at detroit lions \| w 16-13 \| 1-0 \| tiger stadium \| 54,418 row 2 : 2 \| september 26 \| chicago bears \| l 20-17 \| 1-1 \| metropolitan stadium \| 47,900 row 3 : 3 \| october 3 \| buffalo bills \| w 19-0 \| 2-1 \| metropolitan stadium \| 47,900 row 4 : 4 \| october 10 \| at philadelphia eagle \| w 13-0 \| 3-1 \| veterans stadium \| 65,358 row 5 : 5 \| october 17 \| at green bay packers \| w 24-13 \| 4-1 \| lambeau field \| 56,263 row 6 : 6 \| october 25 \| baltimore colts \| w 10-3 \| 5-1 \| metropolitan stadium \| 49,784 row 7 : 7 \| october 31 \| at new york giants \| w 17-10 \| 6-1 \| yankee stadium \| 62,829 row 8 : 8 \| november 7 \| san francisco 49ers \| l 13-9 \| 6-2 \| metropolitan stadium \| 49,784 row 9 : 9 \| november 14 \| green bay packers \| w 3-0 \| 7-2 \| metropolitan stadium \| 49,784 row 10 : 10 \| november 21 \| at new orleans saints \| w 23-10 \| 8-2 \| tulane stadium \| 83,130 row 11 : 11 \| november 28 \| atlanta falcons \| w 24-7 \| 9-2 \| metropolitan stadium \| 49,784 row 12 : 12 \| december 5 \| at san diego chargers \| l 30-14 \| 9-3 \| san diego stadium \| 54,505 row 13 : 13 \| december 11 \| detroit lions \| w 29-10 \| 10-3 \| metropolitan stadium \| 49,784 row 14 : 14 \| december 19 \| at chicago bears \| w 27-10 \| 11-3 \| soldier field \| 55,049 ] Execute this SQL based on the above table: select venue where week <= 7	tiger stadium, metropolitan stadium, metropolitan stadium, veterans stadium, lambeau field, metropolitan stadium, yankee stadium
[ header: player \| games played \| field goals \| free throws \| points row 1 : ralf woods \| 16 \| 54 \| 70 \| 178 row 2 : clyde alwood \| 15 \| 57 \| 0 \| 114 row 3 : ernest mckay \| 15 \| 39 \| 3 \| 81 row 4 : ray woods \| 16 \| 19 \| 0 \| 38 row 5 : john felmley \| 6 \| 7 \| 4 \| 18 row 6 : george halas \| 11 \| 5 \| 0 \| 10 row 7 : r.c. haas \| 3 \| 1 \| 0 \| 2 row 8 : gordon otto \| 4 \| 1 \| 0 \| 2 ] Execute this SQL based on the above table: select field goals order by player limit 1	57
[ header: national park \| region \| land area (km2) \| established \| visitation (2009) \| coordinates row 1 : archipelago \| finland proper \| 500 \| 1982 \| 53500 \| 59°54′53′′n 21° row 2 : bothnian sea \| None \| None \| 2011 \| None \| None row 3 : ekenas archipelago \| uusimaa \| 52 \| 1989 \| 44500 \| 59°49′22′′n 23° row 4 : isojarvi \| central finland \| 19 \| 1982 \| 10500 \| 61°41′54′′n 25° row 5 : kolovesi \| southern savonia \| 23 \| 1990 \| 7500 \| 62°15′27′′n 28° row 6 : lauhanvuori \| southern ostrobothnia \| 53 \| 1982 \| 10000 \| 62°09′7′′n 22° row 7 : linnansaari \| southern savonia / northern \| 38 \| 1956 \| 31000 \| 62°6′38′′n 28° row 8 : nuuksio \| uusimaa \| 45 \| 1994 \| 179500 \| 60°18′27′′n 24°29 row 9 : pyha-hakki \| central finland \| 13 \| 1956 \| 17000 \| 62°50′44′′n 25° row 10 : riisitunturi \| lapland \| 77 \| 1982 \| 15000 \| 66°14′n 28°30′ row 11 : rokua \| northern ostrobothnia / \| 4.3 \| 1956 \| 23500 \| 64°33′22′′n 26°30 row 12 : sipoonkorpi \| uusimaa \| 18.6 \| 2011 \| None \| 60°18′54′′n 25°13 row 13 : syote \| northern ostrobothnia / \| 299 \| 2000 \| 40000 \| 65°44′51′′n 27°54 ] Execute this SQL based on the above table: select coordinates order by id desc limit 1	65°44′51′′n 27°54′43′′e / 65.74750°n 27.91194°e
[ header: model \| origin \| type \| version \| in service \| notes row 1 : larc-v \| united states \| amphibious support vehicle \| larc-v \| 5 \| most refurbished in 2006 row 2 : gkn aquatrack \| united kingdom \| amphibious support vehicle \| aquatrack \| 2 \| introduced in mid 1990s. originally owned by the row 3 : am general hmmwv \| united states \| light utility vehicle \| m998a1 m1038 \| None \| divided into several variants and series row 4 : maxi-ambulance \| united states \| light utility vehicle \| m997a2 \| 4 \| 150 delivered to afp on nov row 5 : m939 truck \| united states \| heavy utility vehicle \| m923 \| None \| several delivered to afp in 2013, several row 6 : m35 truck \| united states \| 2 1/2-ton utility vehicle \| m35 \| None \| divided into several variants and series. more delivered row 7 : m151 \| united states \| 1/4-ton light utility vehicle and weapons carrier \| standard \| None \| in service, several carrying m40 106 row 8 : delta mini cruiser \| philippines \| 1/4-ton light utility vehicle \| m1777 \| None \| divided into several variants and series, including short row 9 : marine multi-purpose vehicle \| philippines \| light utility vehicle and weapons carrier \| standard \| None \| to replace the m151 mutt, row 10 : km-50 series \| republic of korea \| 5-ton utility vehicle \| km-500 \| 12 \| 155mm artillery prime mover. row 11 : km-45 series \| republic of korea \| 1 1/2-ton utility vehicle \| km-450 \| >50 \| 3000 purchased by afp on 2007, row 12 : km-45 series \| republic of korea \| field ambulance \| km-451 \| 12 \| 500 purchased by afp in 2012, ] Execute this SQL based on the above table: select type order by in service desc limit 1	1 1/2-ton utility vehicle
[ header: no. \| date/time \| aircraft \| foe \| result \| location \| notes row 1 : u/c \| 14 june 1917 \| nieuport 17 \| enemy aircraft \| None \| mount verena \| victory originally confirmed, but disallowed postwar row 2 : 1 \| 25 october 1917 @ 0800 \| None \| enemy aircraft \| forced to land \| marcesina \| None row 3 : 2 \| 7 november 1917 circa 1615 hours \| None \| enemy aircraft \| forced to land \| fonsazo \| awarded silver medal for military valor row 4 : 3 \| 7 december 1917 @ 1130 hours \| None \| enemy aircraft \| None \| val d'assa \| None row 5 : 4 \| 13 december 1917 ca. 1130 hours \| None \| enemy aircraft \| None \| asiago \| None row 6 : 5 \| 30 january 1918 @ 1000 hours \| None \| enemy two-seater \| None \| col d'eshele, \| awarded silver medal for military valor row 7 : u/c \| 4 february 1918 ca. 1100 hours \| None \| black enemy fighter craft \| None \| valstagna \| claim shared with antonio reali row 8 : 6 \| 5 february 1918 ca. 0830 hours \| None \| enemy two-seater \| forced to land \| case girardi \| shared with marziale cerutti row 9 : 7 \| 13 february 1918 @ 0915 hours \| None \| enemy fighter \| None \| marcesina \| None row 10 : u/c \| 24 february 1918 \| None \| enemy aircraft \| None \| mount grappa \| None row 11 : 8 \| 4 may 1918 @ 0850 hours \| nieuport 27 \| enemy aircraft \| None \| montello \| austro-hungarians reported no matching loss row 12 : 9 \| 4 may 1918 @ 1025 hours \| nieuport 27 \| enemy fighter \| None \| montello \| austro-hungarians reported no matching loss ] Execute this SQL based on the above table: select count ( * ) where location = 'marcesina'	2
[ 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 = 'ecuador' and nation = 'ecuador'	ecuador
[ header: country \| name \| title, position \| grand cross with collar \| year of appointment row 1 : belgium \| paola \| former queen \| None \| 1997 row 2 : belgium \| philippe \| king \| None \| 2003 row 3 : bulgaria \| georgi parvanov \| former president \| None \| 2006 row 4 : croatia \| ivo josipovic \| president \| None \| 2011 row 5 : denmark \| benedikte \| princess \| None \| 1974 row 6 : denmark \| joachim \| prince \| None \| 1991 row 7 : denmark \| margrethe ii \| queen \| None \| 1958 row 8 : denmark \| mary \| crown princess \| None \| 2005 row 9 : finland \| martti ahtisa \| former president \| None \| 1994 row 10 : finland \| mauno koivisto \| former president \| None \| 1983 row 11 : finland \| tarja halonen \| former president \| None \| 2000 row 12 : france \| jacques chirac \| former president \| None \| 2000 row 13 : germany \| roman herzog \| former president \| None \| 1998 row 14 : germany \| marianne von weizsacker \| former first lady \| None \| 1986 row 15 : greece \| constantine ii \| former king \| None \| 1964, 1962 row 16 : greece \| constantinos stephanopoulos \| former president \| None \| 2004 row 17 : iran \| farah pahlavi \| former empress \| None \| 1965 row 18 : iceland \| olafur ragnar grims \| president \| None \| 1998 row 19 : iceland \| vigdis finnbogadotti \| former president \| None \| 1982 row 20 : italy \| carlo azeglio cia \| former president \| None \| 2001 row 21 : japan \| akihito \| emperor \| None \| 2001, 1953 row 22 : japan \| masako \| crown princess \| None \| 2001 row 23 : jordan \| hassan \| prince \| None \| None row 24 : latvia \| vaira vike-freiberg \| former president \| None \| 2000 row 25 : lithuania \| valdas adamkus \| former president \| None \| 1998 row 26 : luxembourg \| henri \| grand duke \| None \| 2011 row 27 : luxembourg \| maria teresa \| grand duchess \| None \| 1996 row 28 : netherlands \| margriet \| princess \| None \| 1964 row 29 : netherlands \| willem-alexander \| king \| None \| 1996 row 30 : norway \| astrid \| princess \| None \| 1956 row 31 : norway \| jørgen harek \| former president of the norwegian parliament \| None \| 2005 row 32 : norway \| mette-marit \| crown princess \| None \| 2001 row 33 : norway \| carsten smith \| former chief justice of the supreme court of nor \| None \| 2003 row 34 : poland \| lech wałesa \| former president \| None \| 1995 row 35 : portugal \| antonio ramalho \| former president \| None \| 1978 row 36 : portugal \| anibal cavaco silva \| president \| None \| 2008 row 37 : romania \| emil constantinescu \| former president \| None \| 1999 row 38 : slovenia \| danilo turk \| former president \| None \| 2011 row 39 : spain \| felipe \| crown prince \| None \| 1995 row 40 : spain \| sofia \| queen \| None \| 1982 row 41 : sweden \| carl xvi gustaf \| king \| None \| 1974 row 42 : sweden \| carl philip \| prince \| None \| 2005 row 43 : sweden \| madeleine \| princess \| None \| 2005 ] Execute this SQL based on the above table: select count ( grand cross with collar )	0
[ header: name \| title \| first year in this position \| years at nebraska \| alma mater row 1 : biff jones \| head coach \| 1937 \| 1937-1941 \| army row 2 : henry schulte \| lineman coach \| 1931 \| 1919-1924, 1931-1937 \| michigan row 3 : ed weir \| freshmen coach \| 1929 \| 1926, 1929-1937, 1943 \| nebraska row 4 : w. harold browne \| assistant coach \| 1930 \| 1930-1940 \| None row 5 : roy lyman \| None \| 1936 \| 1936-1941 \| None row 6 : adolph j. lewand \| None \| 1937 \| 1937-1944 \| nebraska row 7 : jerry adams \| None \| None \| 1937 \| None row 8 : charles armstrong \| None \| 1937 \| 1937-1942, 1944 \| None ] Execute this SQL based on the above table: select years at nebraska where name = 'w. harold browne'	1930-1940
[ header: week \| date \| opponent \| results final score \| results team record \| venue \| attendance row 1 : 1 \| september 20 \| at detroit lions \| w 16-13 \| 1-0 \| tiger stadium \| 54,418 row 2 : 2 \| september 26 \| chicago bears \| l 20-17 \| 1-1 \| metropolitan stadium \| 47,900 row 3 : 3 \| october 3 \| buffalo bills \| w 19-0 \| 2-1 \| metropolitan stadium \| 47,900 row 4 : 4 \| october 10 \| at philadelphia eagle \| w 13-0 \| 3-1 \| veterans stadium \| 65,358 row 5 : 5 \| october 17 \| at green bay packers \| w 24-13 \| 4-1 \| lambeau field \| 56,263 row 6 : 6 \| october 25 \| baltimore colts \| w 10-3 \| 5-1 \| metropolitan stadium \| 49,784 row 7 : 7 \| october 31 \| at new york giants \| w 17-10 \| 6-1 \| yankee stadium \| 62,829 row 8 : 8 \| november 7 \| san francisco 49ers \| l 13-9 \| 6-2 \| metropolitan stadium \| 49,784 row 9 : 9 \| november 14 \| green bay packers \| w 3-0 \| 7-2 \| metropolitan stadium \| 49,784 row 10 : 10 \| november 21 \| at new orleans saints \| w 23-10 \| 8-2 \| tulane stadium \| 83,130 row 11 : 11 \| november 28 \| atlanta falcons \| w 24-7 \| 9-2 \| metropolitan stadium \| 49,784 row 12 : 12 \| december 5 \| at san diego chargers \| l 30-14 \| 9-3 \| san diego stadium \| 54,505 row 13 : 13 \| december 11 \| detroit lions \| w 29-10 \| 10-3 \| metropolitan stadium \| 49,784 row 14 : 14 \| december 19 \| at chicago bears \| w 27-10 \| 11-3 \| soldier field \| 55,049 ] Execute this SQL based on the above table: select date where date in ( 'december 5' , 'november 14' ) order by attendance desc limit 1	december 5
[ header: club \| winners \| runner-ups \| winning years \| runner-up years row 1 : fk austria wien \| 6 \| 2 \| 1990, 1991, 1992, 1994, 2003, \| 1986, 1994 row 2 : sk rapid wien \| 4 \| 1 \| 1986, 1987, 1988, 2008 \| 1995, 1996 row 3 : sk sturm graz \| 3 \| 2 \| 1996, 1998, 1999 \| 1997, 2002 row 4 : sv austria salzburg \| 3 \| 0 \| 1994, 1995, 1997 \| None row 5 : grazer ak \| 2 \| 1 \| 2000, 2002 \| 2004 row 6 : vfb admira wacker modling \| 1 \| 1 \| 1989 \| 1992 row 7 : fc karnten \| 1 \| 1 \| 2001 \| 2003 row 8 : fc swarovski \| 0 \| 6 \| None \| 1987, 1989, 1990, 1993, 2000, row 9 : kremser sc \| 0 \| 1 \| None \| 1988 row 10 : sv stockerau \| 0 \| 1 \| None \| 1991 row 11 : sv ried \| 0 \| 1 \| None \| 1998 row 12 : lask linz \| 0 \| 1 \| None \| 1999 row 13 : sv horn \| 0 \| 1 \| None \| 2008 ] Execute this SQL based on the above table: select club order by club desc limit 1	vfb admira wacker modling
[ header: year \| single \| us cashbox \| us hot 100 \| uk singles row 1 : 1969 \| "rock & roll holiday" \| None \| None \| None row 2 : 1970 \| "be-bop confidential" \| None \| None \| None row 3 : 1971 \| "roadrunner" \| None \| None \| None row 4 : 1971 \| "that's fine" \| None \| None \| None row 5 : 1972 \| "the red back spider" \| 85 \| 96 \| None row 6 : 1973 \| "let your yeah be yeah" \| 60 \| 57 \| 52 row 7 : 1973 \| "smokin' in the boys room \| 2 \| 3 \| 27 row 8 : 1974 \| "i'm the leader of the gang \| 26 \| 48 \| None row 9 : 1974 \| "kings of the party" \| 31 \| 31 \| None row 10 : 1974 \| "i got it bad for you" \| None \| None \| None row 11 : 1977 \| "lady (put the light on me \| 44 \| 46 \| None row 12 : 1977 \| "the martian boogie" \| 45 \| 59 \| None row 13 : 1979 \| "love stealer" \| None \| None \| None ] Execute this SQL based on the above table: select us hot 100 where single = '"the red back spider"'	96.0
[ header: \| average population (x 1000) \| live births \| deaths \| natural change \| crude birth rate (per 1000) \| crude death rate (per 1000) \| natural change (per 1000) \| fertility rates row 1 : 1906 \| 19 250 \| 650 385 \| 499 018 \| 151 367 \| 33.8 \| 25.9 \| 7.8 \| None row 2 : 1908 \| 19 530 \| 658 008 \| 460 946 \| 197 062 \| 33.7 \| 23.6 \| 10.1 \| None row 3 : 1909 \| 19 670 \| 650 498 \| 466 648 \| 183 850 \| 33.1 \| 23.7 \| 9.3 \| None row 4 : 1915 \| 20 430 \| 631 462 \| 452 479 \| 178 983 \| 30.9 \| 22.1 \| 8.8 \| None row 5 : 1917 \| 20 740 \| 602 139 \| 465 722 \| 136 417 \| 29 \| 22.5 \| 6.6 \| None row 6 : 1918 \| 20 910 \| 612 637 \| 695 758 \| -83 121 \| 29.3 \| 33.3 \| -4 \| None row 7 : 1925 \| 22 160 \| 644 741 \| 432 400 \| 212 341 \| 29.1 \| 19.5 \| 9.6 \| 3,82 row 8 : 1928 \| 22 860 \| 666 240 \| 413 002 \| 253 238 \| 29.1 \| 18.1 \| 11.1 \| 3,80 row 9 : 1931 \| 23 510 \| 649 276 \| 408 977 \| 240 299 \| 27.6 \| 17.4 \| 10.2 \| 3,58 row 10 : 1932 \| 23 897 \| 670 670 \| 388 900 \| 281 770 \| 28.3 \| 16.5 \| 11.8 \| 3,64 row 11 : 1933 \| 24 122 \| 667 866 \| 394 750 \| 273 116 \| 27.9 \| 16.5 \| 11.4 \| 3,59 row 12 : 1934 \| 24 349 \| 641 889 \| 392 793 \| 249 096 \| 26.4 \| 16.1 \| 10.2 \| 3,38 row 13 : 1935 \| 24 578 \| 636 725 \| 388 757 \| 247 968 \| 25.9 \| 15.8 \| 10.1 \| 3,31 row 14 : 1937 \| 25 043 \| 568 977 \| 475 310 \| 93 667 \| 22.7 \| 19 \| 3.7 \| 2,89 row 15 : 1942 \| 26 244 \| 530 845 \| 387 844 \| 143 001 \| 20.2 \| 14.8 \| 5.4 \| 2,53 row 16 : 1945 \| 26 770 \| 621 558 \| 330 581 \| 290 977 \| 23.2 \| 12.3 \| 10.9 \| 2,91 row 17 : 1948 \| 27 593 \| 642 041 \| 305 310 \| 336 731 \| 23.3 \| 11.1 \| 12.2 \| 2,88 row 18 : 1955 \| 29 199 \| 598 970 \| 274 188 \| 324 782 \| 20.5 \| 9.4 \| 11.1 \| 2,58 row 19 : 1956 \| 29 445 \| 608 121 \| 290 410 \| 317 711 \| 20.7 \| 9.9 \| 10.8 \| 2,61 row 20 : 1967 \| 32 734 \| 680 125 \| 280 494 \| 399 631 \| 20.8 \| 8.6 \| 12.2 \| 2,98 row 21 : 1971 \| 34 216 \| 672 092 \| 308 516 \| 363 576 \| 19.7 \| 9 \| 10.6 \| 2,88 row 22 : 1974 \| 35 288 \| 688 711 \| 300 403 \| 388 308 \| 19.6 \| 8.5 \| 11 \| 2,89 row 23 : 1981 \| 37 741 \| 533 008 \| 293 386 \| 239 622 \| 14.1 \| 7.8 \| 6.3 \| 2,04 row 24 : 1982 \| 37 942 \| 515 706 \| 286 655 \| 229 051 \| 13.6 \| 7.6 \| 6 \| 1,94 row 25 : 1983 \| 38 122 \| 485 352 \| 302 569 \| 182 783 \| 12.7 \| 7.9 \| 4.8 \| 1,80 ] Execute this SQL based on the above table: select deaths where id = 46	330 581
[ header: date \| name \| nationality \| tonnage (grt) \| fate row 1 : 18 january 1940 \| flandria \| sweden \| 1179 \| sunk row 2 : 19 january 1940 \| patria \| sweden \| 1188 \| sunk row 3 : 11 february 1940 \| linda \| estonia \| 1213 \| sunk row 4 : 4 may 1940 \| san tiburcio \| united kingdom \| 5995 \| sunk (mine) row 5 : 9 may 1940 \| doris \| french navy \| 552 \| sunk row 6 : 11 may 1940 \| tringa \| united kingdom \| 1930 \| sunk row 7 : 11 may 1940 \| viiu \| estonia \| 1908 \| sunk row 8 : 23 may 1940 \| sigurd faulbaum \| belgium \| 3256 \| sunk row 9 : 11 may 1944 \| shtorm \| soviet union \| 412 \| damaged ] Execute this SQL based on the above table: select tonnage (grt) where fate > ( select fate where tonnage (grt) = '552' ) order by fate limit 1	5995.0
[ header: date \| opponent \| venue \| result \| attendance \| scorers row 1 : 15 august 1987 \| derby county \| away \| 0-1 \| 17204 \| None row 2 : 18 august 1987 \| coventry city \| home \| 0-1 \| 9380 \| None row 3 : 22 august 1987 \| west ham united \| home \| 2-2 \| 8073 \| harford (2) row 4 : 29 august 1987 \| chelsea \| away \| 0-3 \| 16075 \| None row 5 : 31 august 1987 \| arsenal \| home \| 1-1 \| 8745 \| wilson (pen) row 6 : 5 september 1987 \| oxford united \| away \| 5-2 \| 6804 \| breacker, harford, hill row 7 : 12 september 1987 \| everton \| home \| 2-1 \| 8124 \| hill, b. stein row 8 : 19 september 1987 \| charlton athletic \| away \| 0-1 \| 5002 \| None row 9 : 26 september 1987 \| queens park rangers \| away \| 0-2 \| 11175 \| None row 10 : 3 october 1987 \| manchester united \| home \| 1-1 \| 9137 \| harford row 11 : 10 october 1987 \| portsmouth \| away \| 1-3 \| 12391 \| harford (pen) row 12 : 17 october 1987 \| wimbledon \| home \| 2-0 \| 7018 \| b. stein, wilson row 13 : 24 october 1987 \| liverpool \| home \| 0-1 \| 11997 \| None row 14 : 7 november 1987 \| newcastle united \| home \| 4-0 \| 7638 \| nwajiobi, b. row 15 : 5 december 1987 \| norwich city \| home \| 1-2 \| 7002 \| b. stein row 16 : 12 december 1987 \| watford \| away \| 1-0 \| 12152 \| foster row 17 : 26 december 1987 \| everton \| away \| 0-2 \| 32128 \| None row 18 : 28 december 1987 \| charlton athletic \| home \| 1-0 \| 7243 \| wilson row 19 : 1 january 1988 \| chelsea \| home \| 3-0 \| 8018 \| harford, b. stein, row 20 : 2 january 1988 \| west ham united \| away \| 1-1 \| 16716 \| m. stein row 21 : 6 february 1988 \| oxford united \| home \| 7-4 \| 8063 \| harford (2), mcdonough row 22 : 13 february 1988 \| arsenal \| away \| 1-2 \| 22612 \| m.stein row 23 : 5 march 1988 \| wimbledon \| away \| 0-2 \| 4854 \| None row 24 : 15 march 1988 \| coventry city \| away \| 0-4 \| 13711 \| None row 25 : 29 march 1988 \| portsmouth \| home \| 4-1 \| 6740 \| b.stein, m.stein, row 26 : 2 april 1988 \| newcastle united \| away \| 0-4 \| 20752 \| None row 27 : 5 april 1988 \| sheffield wednesday \| home \| 2-2 \| 7337 \| mcdonough, b. row 28 : 12 april 1988 \| manchester united \| away \| 0-3 \| 28830 \| None row 29 : 19 april 1988 \| queens park rangers \| home \| 2-1 \| 6735 \| foster, wilson (pen) row 30 : 30 april 1988 \| norwich city \| away \| 2-2 \| 13171 \| m. stein, wilson row 31 : 4 may 1988 \| tottenham hotspur \| away \| 1-2 \| 15437 \| grimes row 32 : 9 may 1988 \| liverpool \| away \| 1-1 \| 30374 \| oldfield ] Execute this SQL based on the above table: select count ( date )	32
[ header: name \| gender \| age \| from \| occupation \| prize money (usd) \| status row 1 : trisha \| female \| 28 \| santa monica, ca \| artist \| $26,000 \| winner row 2 : london \| male \| 46 \| mt. holly, n \| us coast guard (retired) \| $0 \| lost row 3 : adria \| female \| 25 \| seattle, wa \| bartender \| $0 \| 7th captured (by ricky ort row 4 : lucas \| male \| 32 \| carlsbad, ca \| student \| $0 \| 6th captured (by kim) row 5 : andrew \| male \| 21 \| redondo beach, ca \| student / lifeguard \| $0 \| 5th captured (by kim) row 6 : tracy \| female \| 30 \| mililani, hi \| student \| $0 \| 4th captured (by grant) row 7 : lynda \| female \| 59 \| los angeles, ca \| general contractor \| $0 \| 3rd captured (by icey) row 8 : darin \| male \| 46 \| fontana, ca \| sports official \| $0 \| 2nd captured (by wong) row 9 : evan \| male \| 29 \| long island, ny \| teacher \| $2,000 \| opted out row 10 : ameenah \| female \| 34 \| atlanta, ga \| drummer \| $0 \| 1st captured (by grant) ] Execute this SQL based on the above table: select count ( from ) where prize money (usd) = '$0'	0
[ header: game \| date \| opponent \| location \| score \| ot \| attendance \| record row 1 : 1 \| january 6, 2006 \| philadelphia wings \| xcel energy center \| l 11-15 \| None \| 8024 \| 0-1 row 2 : 2 \| january 14, 2006 \| @ philadelphia wings \| wachovia center \| w 13-10 \| None \| 11874 \| 1-1 row 3 : 3 \| january 20, 2006 \| @ calgary roughnecks \| pengrowth saddledome \| w 12-8 \| None \| 10637 \| 2-1 row 4 : 4 \| january 21, 2006 \| rochester knighthawks \| xcel energy center \| l 6-12 \| None \| 7124 \| 2-2 row 5 : 5 \| january 29, 2006 \| rochester knighthawks \| xcel energy center \| l 9-10 \| None \| 7544 \| 3-2 row 6 : 6 \| february 3, 2006 \| @ edmonton rush \| rexall place \| w 7-6 \| None \| 8745 \| 3-3 row 7 : 7 \| february 10, 2006 \| philadelphia wings \| xcel energy center \| w 11-10 \| None \| 7524 \| 4-3 row 8 : 8 \| february 18, 2006 \| @ buffalo bandits \| hsbc arena \| l 9-14 \| None \| 12458 \| 4-4 row 9 : 9 \| march 3, 2006 \| @ toronto rock \| air canada centre \| l 8-13 \| None \| 15830 \| 4-5 row 10 : 10 \| march 4, 2006 \| @ buffalo bandits \| hsbc arena \| w 11-8 \| None \| 10961 \| 5-5 row 11 : 11 \| march 17, 2006 \| @ portland lumberjax \| rose garden \| w 14-12 \| None \| 5487 \| 6-5 row 12 : 12 \| march 24, 2006 \| buffalo bandits \| xcel energy center \| l 11-13 \| None \| 9533 \| 6-6 row 13 : 13 \| april 1, 2006 \| toronto rock \| xcel energy center \| w 10-9 \| None \| 10084 \| 7-6 row 14 : 14 \| april 8, 2006 \| @ rochester knighthawks \| blue cross arena \| l 9-10 \| None \| 10352 \| 7-7 row 15 : 15 \| april 9, 2006 \| san jose stealth \| xcel energy center \| w 9-8 \| ot \| 7044 \| 8-7 row 16 : 16 \| april 15, 2006 \| portland lumberjax \| xcel energy center \| l 8-13 \| None \| 10104 \| 8-8 ] Execute this SQL based on the above table: select count ( * ) where location = 'rose garden'	1
[ header: position \| team \| points \| played \| won \| drawn \| lost \| for \| against \| difference row 1 : 1 \| palestra italia-sp \| 18 \| 9 \| 9 \| 0 \| 0 \| 33 \| 8 \| 25 row 2 : 2 \| auto \| 14 \| 9 \| 7 \| 0 \| 2 \| 25 \| 14 \| 11 row 3 : 3 \| corinthians \| 13 \| 9 \| 6 \| 1 \| 2 \| 26 \| 9 \| 17 row 4 : 4 \| santos \| 11 \| 9 \| 5 \| 1 \| 3 \| 24 \| 17 \| 7 row 5 : 5 \| silex \| 8 \| 9 \| 3 \| 2 \| 4 \| 17 \| 26 \| -9 row 6 : 6 \| sirio \| 7 \| 9 \| 3 \| 1 \| 5 \| 21 \| 20 \| 1 row 7 : 7 \| ypiranga-sp \| 7 \| 9 \| 3 \| 1 \| 5 \| 16 \| 22 \| -6 row 8 : 8 \| portuguesa \| 7 \| 9 \| 2 \| 3 \| 4 \| 17 \| 26 \| -9 row 9 : 9 \| aa sao bento \| 4 \| 9 \| 2 \| 0 \| 7 \| 9 \| 31 \| -22 row 10 : 10 \| sc internacional de sa \| 1 \| 9 \| 0 \| 1 \| 8 \| 9 \| 24 \| -15 ] Execute this SQL based on the above table: select count ( * )	10
[ header: victim(s) \| age \| gender \| date \| type of attack \| location \| details \| source(s) row 1 : daughter of a frontiersman named "bak \| 18 \| ♀ \| summer, 1881 \| defending cows \| northwestern colorado, usa \| encountered a wolf resting on a \| george bird grinnell row 2 : david tobuk \| toddler \| ♂ \| 1900 \| predatory \| koyukuk river, ala \| in the 1920s, tobuk was \| None row 3 : zacarias hugo \| 14 \| ♂ \| 1943 \| possibly rabid \| etivluk river, alaska \| while hunting caribou, zacaria \| None row 4 : pipeline workers \| None \| ♂ \| 1971-1979 \| None \| along the right-of-way for the trans \| there were ten "bites and charges", \| None row 5 : david lawrence \| 7 \| ♂ \| 1976, summer \| prey-testing agonistic charge \| salcha river, alaska, usa \| while his father, roy lawrence, \| None ] Execute this SQL based on the above table: select sum ( age ) where victim(s) in ( 'daughter of a frontiersman named "baker"' , 'david lawrence' )	25.0
[ header: name \| position \| year \| league apps \| league goals \| total apps \| total goals \| notes row 1 : walter langton \| lb / cf \| 1887-1905 \| 45 \| 28 \| 48 \| 48 \| doncaster's longest serving player appearance stats row 2 : tom keetley \| fw \| 1923-1929 \| 231 \| 180 \| 241 \| 186 \| record all time goalscorer. most goals in row 3 : fred emery \| wh \| 1924-1936 \| 417 \| 30 \| 439 \| 32 \| record league appearances manager of doncaster 1936-19 row 4 : paddy mcconnell \| if \| 1925-1930 \| 137 \| 20 \| 143 \| 21 \| the first current doncaster player to represent his country row 5 : syd bycroft \| df \| 1936-1951 \| 333 \| 2 \| 355 \| 2 \| including wartime league matches, he played row 6 : eddie perry \| cf \| 1936-1938 \| 98 \| 44 \| 102 \| None \| welsh international whilst at don row 7 : clarrie jordan \| fw \| 1945-1948 \| 60 \| 48 \| 67 \| 50 \| most doncaster league goals in one season (42 row 8 : charlie williams \| df \| 1948-1959 \| 158 \| 1 \| 174 \| 1 \| famous comedian row 9 : peter doherty \| if \| 1949-1953 \| 103 \| 55 \| 109 \| 58 \| ireland international player and manager of northern row 10 : len graham \| mf \| 1949-1958 \| 312 \| 3 \| 332 \| 3 \| northern ireland international whilst at row 11 : kit lawlor \| if \| 1950-1954 \| 127 \| 47 \| 143 \| 49 \| republic of ireland international whilst row 12 : harry gregg \| gk \| 1952-1957 \| 94 \| 0 \| 99 \| 0 \| northern ireland international whilst at row 13 : alick jeffrey \| fw \| 1954-1956, 1963-1968 \| 262 \| 129 \| 293 \| 140 \| youngest doncaster player (15 years 229 days row 14 : colin douglas \| fw \| 1981-1986, 1988-1993 \| 404 \| 53 \| 444 \| 62 \| record total appearances (not including the wartime row 15 : brian stock \| mf \| 2006-2012 \| 193 \| 18 \| 216 \| 23 \| welsh international whilst at don row 16 : billy sharp \| fw \| 2009-2012, 2014- \| 92 \| 44 \| 96 \| 45 \| record transfer fee paid: £1,150,000 ] Execute this SQL based on the above table: select sum ( league goals )	702.0
[ header: manufacturer \| model \| first flight \| max payload (t) \| cruise (km/h) \| max range (km) \| mtow row 1 : airbus \| a330 mrtt \| 2007 \| 45 \| 860 \| 14,800 \| 223 row 2 : airbus \| a400m \| 2009 \| 37 \| 780 \| 9,300 \| 141 row 3 : alenia \| c-27j spartan \| 2008 \| 11.5 \| 583 \| 5,926 \| 31.8 row 4 : antonov \| an-12 \| 1957 \| 20 \| 777 \| 5,700 \| 61 row 5 : antonov \| an-22 antei \| 1965 \| 80 \| 740 \| 5,000 \| 250 row 6 : antonov \| an-26 \| 1969 \| 5.5 \| 440 \| 2,550 \| 24 row 7 : antonov \| an-32 \| 1976 \| 6.7 \| 480 \| 2,500 \| 26.9 row 8 : antonov \| an-70 \| 1994 \| 47 \| 729 \| 6,600 \| 145 row 9 : antonov \| an-72 \| 1977 \| 7.5 \| 600 \| 4,800 \| 33 row 10 : antonov \| an-124 ruslan \| 1982 \| 150 \| 800-850 \| 5,410 \| 405 row 11 : antonov \| an-225 mriya \| 1988 \| 250 \| 800 \| 15,400 \| 600 row 12 : avic \| y-8 \| 1974 \| 20 \| 550 \| 5,616 \| 61 row 13 : avic \| y-9 \| 2008 \| 25 \| 650 \| 7,800 \| 77 row 14 : avic \| y-20 \| 2013 \| 66 \| 700 \| 7,800 \| 220 row 15 : bell/boeing \| v-22 osprey \| 1989 \| 6.8 \| 396 \| 1,627 \| 27.4 row 16 : boeing \| c-17 globemaster iii \| 1991 \| 77.5 \| 830 \| 4,482 \| 265 row 17 : casa \| c-212 aviocar \| 1971 \| 2.8 \| 315 \| 1,433 \| 8 row 18 : casa/indonesian aerospace \| cn-235 \| 1983 \| 5 \| 509 \| 5,003 \| 15.1 row 19 : casa \| c-295 \| 1998 \| 9.3 \| 481 \| 5,630 \| 23.2 row 20 : de havilland canada \| c-7 caribou \| 1958 \| 3.6 \| 348 \| 2,103 \| 14.2 row 21 : douglas \| c-47 \| 1943 \| 3 \| 360 \| 2,600 \| 10.5 row 22 : grumman \| c-2 greyhound \| 1964 \| 4.5 \| 465 \| 2,400 \| 24.7 row 23 : embraer \| kc-390 \| 2014 \| 23 \| 900 \| 6,200 \| 72 row 24 : fairchild \| c-123 provider \| 1949 \| 11 \| 367 \| 1,666 \| 27 row 25 : ilyushin \| il-76 \| 1971 \| 47 \| 900 \| 4,400 \| 210 row 26 : ilyushin \| il-112 \| 2011 \| 5.9 \| 550 \| 5,000 \| 20 row 27 : kawasaki \| c-1 \| 1970 \| 11.9 \| 657 \| 1,300 \| 45 row 28 : kawasaki \| xc-2 \| 2010 \| 37.6 \| 890 \| 6,500 \| 120 row 29 : lockheed \| c-5 galaxy \| 1968 \| 122 \| 907 \| 4,445 \| 381 row 30 : lockheed \| c-130 hercules \| 1954 \| 20 \| 540 \| 3,800 \| 70.3 row 31 : lockheed \| c-141 starlifter \| 1963 \| 45 \| 912 \| 9,880 \| 147 row 32 : pzl mielec \| m-28 skytruck \| 1993 \| 2.5 \| 270 \| 1,500 \| 8 row 33 : short brothers \| c-23 sherpa \| 1982 \| 3.2 \| 296 \| 1,239 \| 3.2 row 34 : transport allianz \| transall c-160 \| 1963 \| 16 \| 513 \| 1,850 \| 49.2 row 35 : uac and hal \| uac/hal multirole transport \| 2015 \| 22 \| 830 \| 2,500 \| 68 ] Execute this SQL based on the above table: select min ( max payload (t) )	2.5
[ header: year \| representative \| hometown \| placement in miss nepal \| special awards at miss nepal \| placement in miss pokhara row 1 : 1995 \| rita gurung \| pamee \| 1st runner up \| None \| winner row 2 : 1996 \| binita gurung \| batulichor \| 2nd runner up \| None \| winner row 3 : 1997 \| neelima gurung \| nadipur \| winner \| miss personality \| winner row 4 : 1998 \| sunita ranjit \| lakeside \| None \| None \| winner row 5 : 1999 \| kripa gurung \| tersapatti \| 2nd runner up \| miss photogenic \| winner row 6 : 2004 \| anita gurung \| bajapatan \| 2nd runner up \| miss talent \| miss paschimanchal 2003 row 7 : 2005 \| chandra gurung \| ghorepatan \| None \| None \| None row 8 : 2011 \| madina begum \| pokreli \| None \| miss perseverance \| None row 9 : 2012 \| dilasha gc \| chindata \| None \| None \| None row 10 : 2013 \| sipora gurung \| mahendrapool \| 3rd runner up \| miss talent \| None row 11 : 2014 \| rashmi adhikari \| goripatan \| None \| None \| winner ] Execute this SQL based on the above table: select representative where id > ( select id where representative = 'chandra gurung' ) limit 1	madina begum
[ header: year \| vidhan sabha \| members of legislative assembly \| winning party \| nearest contesting party row 1 : 1951 \| 01st vidhan sab \| shri hari prasad \| sop \| inc row 2 : 1957 \| 02nd vidhan sabha \| shri bhihari lal \| psp \| inc row 3 : 1962 \| 03rd vidhan sab \| shri durga prasad \| inc \| psp row 4 : 1967 \| 04th vidhan sabha \| shri munendra pal singh \| psp \| bjs row 5 : 1969 \| 05th vidhan sab \| shri tej bhah \| bkd \| bjs row 6 : 1974 \| 06th vidhan sabha \| shri tej bhah \| inc \| bjs row 7 : 1977 \| 07th vidhan sabha \| shri munendra pal singh \| jnp \| inc row 8 : 1980 \| 08th vidhan sabha \| shri tej bhah \| inc \| jnp row 9 : 1985 \| 09th vidhan sabha \| shri tej bhah \| inc \| jnp row 10 : 1989 \| 10th vidhan sabha \| shri harish kumar \| jnp \| bjp row 11 : 1991 \| 11th vidhan sabha \| shri ram saran verm \| bjp \| inc row 12 : 1993 \| 12th vidhan sabha \| shri ram saran verm \| bjp \| inc row 13 : 1996 \| 13th vidhan sabha \| shri anish ahemd k \| bsp \| bjp row 14 : 2002 \| 14th vidhan sabha \| shri anish ahemd k \| bsp \| bjp row 15 : 2007 \| 15th vidhan sabha \| shri anish ahemd k \| bsp \| bjp row 16 : 2012 \| 16th vidhan sabha \| shri ram saran verm \| bjp \| inc ] Execute this SQL based on the above table: select vidhan sabha order by id desc limit 1	16th vidhan sabha
[ header: season \| tier \| division \| place row 1 : 1963-86 \| 5 \| regional \| None row 2 : 1986/87 \| 5 \| preferente \| 2nd row 3 : 1987/88 \| 4 \| 3a \| 15th row 4 : 1988/89 \| 4 \| 3a \| 15th row 5 : 1989/90 \| 4 \| 3a \| 17th row 6 : 1990/91 \| 4 \| 3a \| 12th row 7 : 1991/92 \| 4 \| 3a \| 18th row 8 : 1992/93 \| 5 \| preferente \| 1st row 9 : 1993/94 \| 4 \| 3a \| 14th row 10 : 1994/95 \| 4 \| 3a \| 16th row 11 : 1995/96 \| 4 \| 3a \| 19th row 12 : 1996/97 \| 5 \| preferente \| 1st row 13 : 1997/98 \| 4 \| 3a \| 7th row 14 : 1998/99 \| 4 \| 3a \| 18th ] Execute this SQL based on the above table: select count ( tier ) where tier = 0	0
[ header: year \| division \| league \| regular season \| playoffs \| open cup row 1 : 2006 \| 4 \| usl pdl \| 4th, heartland \| did not qualify \| did not qualify row 2 : 2007 \| 4 \| usl pdl \| 2nd, heartland \| conference semifinals \| did not qualify row 3 : 2008 \| 4 \| usl pdl \| 4th, heartland \| did not qualify \| 1st round row 4 : 2009 \| 4 \| usl pdl \| 4th, heartland \| did not qualify \| did not qualify row 5 : 2010 \| 4 \| usl pdl \| 5th, heartland \| did not qualify \| did not qualify row 6 : 2011 \| 4 \| usl pdl \| 5th, heartland \| did not qualify \| did not qualify row 7 : 2012 \| 4 \| usl pdl \| 7th, heartland \| did not qualify \| did not qualify row 8 : 2013 \| 4 \| usl pdl \| 5th, heartland \| did not qualify \| did not qualify ] Execute this SQL based on the above table: select count ( playoffs ) where open cup = '1st round'	1
[ header: district \| counties represented \| delegate \| party \| first elected \| committee row 1 : 1a \| allegany, garrett \| wendell r. beitzel \| republican \| 2006 \| health and government operations row 2 : 1b \| allegany \| kevin kelly \| democratic \| 1986 \| judiciary row 3 : 1c \| allegany, washington \| leroy e. myers, j \| republican \| 2002 \| appropriations row 4 : 2a \| washington \| andrew a. serafini \| republican \| 2008 \| ways and means row 5 : 2b \| washington \| christopher b. shank \| republican \| 1998 \| judiciary row 6 : 2c \| washington \| john p. donoghu \| democratic \| 1990 \| health and government operations row 7 : 3a \| frederick \| galen r. clagett \| democratic \| 2002 \| appropriations row 8 : 3a \| frederick \| sue hecht \| democratic \| 1994 \| economic matters row 9 : 3b \| frederick, washington \| michael hough \| republican \| 2002 \| health and government operations row 10 : 4a \| frederick \| joseph r. bartlet \| republican \| 1998 \| ways and means row 11 : 4a \| frederick \| kelly m. schulz \| republican \| 2011 \| environmental matters row 12 : 4b \| carroll, frederick \| donald b. elliot \| republican \| 1986 \| health and government operations row 13 : 5a \| carroll \| tanya thornton shewell \| republican \| 2004 \| environmental matters row 14 : 5a \| carroll \| nancy r. stocksdale \| republican \| 1994 \| appropriations row 15 : 9b \| carroll \| susan w. krebs \| republican \| 2002 \| ways and means ] Execute this SQL based on the above table: select party group by party order by count ( * ) desc limit 1	republican
[ header: institution \| city \| state \| team name \| affiliation \| enrollment \| home conference row 1 : augustana college (illinois) \| rock island \| illinois \| vikings \| private/lutheran \| 2500 \| cciw row 2 : aurora university \| aurora \| illinois \| spartans \| private/non-sectarian \| 1685 \| northern row 3 : beloit college \| beloit \| wisconsin \| buccaneers \| private/non-sectarian \| 1300 \| midwest row 4 : benedictine university \| lisle \| illinois \| eagles \| private/catholic \| 3282 \| northern row 5 : carthage college \| kenosha \| wisconsin \| red men \| private/lutheran \| 2188 \| cciw row 6 : concordia university wisconsin \| mequon \| wisconsin \| falcons \| private/lutheran \| 1608 \| northern row 7 : university of dubuque \| dubuque \| iowa \| spartans \| private/presbyterian \| 1559 \| iiac row 8 : elmhurst college \| elmhurst \| illinois \| bluejays \| private/united church of christ \| 3400 \| cciw row 9 : fontbonne university \| st. louis \| missouri \| griffins \| private/catholic \| 2924 \| sliac row 10 : college of mount st. josep \| cincinnati \| ohio \| lions \| private/catholic \| 1334 \| hcac row 11 : north central college \| naperville \| illinois \| cardinals \| private/methodist \| 2900 \| cciw ] Execute this SQL based on the above table: select state group by state order by count ( city ) desc limit 1	illinois
[ header: \| name \| date \| location \| county \| description row 1 : 1 \| diamond head \| None \| honolulu \| oahu \| state monument row 2 : 2 \| i'ao valley \| None \| wailuku \| maui \| state monument row 3 : 3 \| kanaha pond \| june 1971 \| kahului \| maui \| bird sanctuary row 4 : 4 \| koʻolau range pali \| None \| None \| oahu \| None row 5 : 5 \| makalawena marsh \| june 1972 \| north kona \| hawaiʻi \| bird sanctuary row 6 : 6 \| mauna kea \| november 1972 \| saddle road \| hawaiʻi \| u.s. state high point row 7 : 7 \| north shore cliffs \| december 1972 \| molokaʻi \| maui \| None ] Execute this SQL based on the above table: select name order by asc limit 1	diamond head
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 1990 \| pan american race walking cup \| xalapa, mexico \| 25th \| 20 km \| 1:48:49 row 2 : 1993 \| central american and caribbean games \| ponce, puerto rico \| 3rd \| 20 km \| 1:29:43 row 3 : 1994 \| central american games \| san salvador, el \| 1st \| 20 km \| 1:27:45 row 4 : 1995 \| pan american games \| mar del plata, argentina \| 3rd \| 20 km \| 1:23:50 row 5 : 1995 \| central american and caribbean championships \| ciudad de guatemala, \| 2nd \| 20 km \| 1:25:10 a row 6 : 1996 \| olympic games \| atlanta, georgia \| dsq \| 20 km \| None row 7 : 1997 \| world race walking cup \| podebrady, czech \| 5th \| 20 km \| 1:18:51 row 8 : 1997 \| central american and caribbean championships \| san juan, puerto \| 1st \| 20 km \| 1:26:24.40 cr row 9 : 1997 \| world championships \| athens, greece \| dsq \| 20 km \| None row 10 : 1997 \| central american games \| san pedro sul \| 1st \| 20 km \| 1:35:45 row 11 : 1998 \| ibero-american championships \| lisbon, portugal \| 2nd \| 20 km \| 1:26:25 row 12 : 1998 \| central american and caribbean games \| maracaibo, venezu \| 3rd \| 20 km \| 1:25:31 row 13 : 1999 \| world championships \| seville, spain \| dsq \| 20 km \| None row 14 : 2000 \| olympic games \| sydney, australia \| 43rd \| 20 km \| 1:31:47 row 15 : 2001 \| central american and caribbean championships \| guatemala city, guate \| 3rd \| 20 km \| 1:29:47 a row 16 : 2003 \| central american and caribbean championships \| st. george's, \| 1st \| 18,000 m \| 1:22:07 row 17 : 2003 \| pan american games \| santo domingo, dominican \| dsq \| 20 km \| None row 18 : 2003 \| pan american games \| santo domingo, dominican \| dnf \| 50 km \| None row 19 : 2003 \| world championships \| paris, france \| dsq \| 20 km \| None row 20 : 2004 \| world race walking cup \| naumburg, germany \| 15th \| 50 km \| 3:56:19 row 21 : 2004 \| olympic games \| athens, greece \| dsq \| 50 km \| None row 22 : 2004 \| central american championships \| managua, nicaragua \| 3rd \| 20 km \| 1:33:20.46 row 23 : 2005 \| central american and caribbean championships \| nassau, bahamas \| 1st \| 20,000 m \| 1:30:38.07 row 24 : 2005 \| world championships \| helsinki, finland \| 12th \| 50 km \| 3:57:56 row 25 : 2006 \| ibero-american championships \| ponce, puerto rico \| None \| 20,000 m \| dq row 26 : 2006 \| central american and caribbean games \| cartagena, colombia \| 5th \| 20 km \| 1:33:00 row 27 : 2007 \| central american championships \| san jose, costa ric \| 3rd \| 20 km \| 1:27:30.42 ] Execute this SQL based on the above table: select competition order by event asc limit 1	pan american race walking cup
[ header: year \| single \| chart positions usa billboard hot dance club play \| chart positions polish charts \| album row 1 : 2008 \| "fall" \| None \| 2 \| natalia lesz row 2 : 2008 \| "power of attraction" \| 24 \| 5 \| natalia lesz row 3 : 2008 \| "miss you" \| None \| None \| natalia lesz row 4 : 2009 \| "cos za cos" \| None \| 1 \| that girl row 5 : 2010 \| "arabesque" \| 53 \| None \| natalia lesz row 6 : 2010 \| "radioactive" \| None \| 107 \| None row 7 : 2010 \| "that girl" \| None \| 7 \| that girl row 8 : 2012 \| "beat of my heart" \| None \| 98 \| that girl ] Execute this SQL based on the above table: select chart positions polish charts where id = 1	2.0
[ header: club \| season \| league apps \| league goals \| fa cup apps \| fa cup goals \| league cup apps \| league cup goals \| other apps \| other goals \| total apps \| total goals row 1 : bristol rovers \| 2000-01 \| 10 \| 2 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 10 \| 2 row 2 : bristol rovers \| 2001-02 \| 31 \| 3 \| 3 \| 0 \| 2 \| 0 \| 3 \| 0 \| 39 \| 3 row 3 : bristol rovers \| 2002-03 \| 9 \| 0 \| 1 \| 0 \| 0 \| 0 \| 1 \| 0 \| 11 \| 0 row 4 : bristol rovers \| total \| 50 \| 5 \| 4 \| 0 \| 2 \| 0 \| 4 \| 0 \| 60 \| 5 row 5 : yeovil town \| 2002-03 \| 13 \| 13 \| 0 \| 0 \| 0 \| 0 \| 2 \| 1 \| 15 \| 14 row 6 : yeovil town \| 2003-04 \| 43 \| 8 \| 3 \| 1 \| 1 \| 0 \| 2 \| 1 \| 49 \| 10 row 7 : yeovil town \| 2004-05 \| 44 \| 3 \| 5 \| 0 \| 2 \| 0 \| 1 \| 0 \| 52 \| 3 row 8 : yeovil town \| 2005-06 \| 36 \| 2 \| 3 \| 0 \| 2 \| 1 \| 1 \| 0 \| 42 \| 3 row 9 : yeovil town \| total \| 136 \| 26 \| 11 \| 1 \| 5 \| 1 \| 6 \| 2 \| 158 \| 30 row 10 : carlisle united \| 2006-07 \| 45 \| 8 \| 1 \| 0 \| 1 \| 0 \| 1 \| 0 \| 48 \| 8 row 11 : carlisle united \| 2007-08 \| 21 \| 1 \| 2 \| 0 \| 2 \| 0 \| 2 \| 2 \| 27 \| 3 row 12 : carlisle united \| 2008-09 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 row 13 : carlisle united \| total \| 66 \| 9 \| 3 \| 0 \| 3 \| 0 \| 3 \| 2 \| 75 \| 11 row 14 : darlington (loan) \| 2008-09 \| 8 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 8 \| 0 row 15 : lincoln city (loan \| 2008-09 \| 9 \| 0 \| 0 \| 0 \| 1 \| 0 \| 1 \| 0 \| 11 \| 0 row 16 : port vale (loan) \| 2008-09 \| 7 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 7 \| 0 row 17 : darlington \| 2009-10 \| 10 \| 2 \| 0 \| 0 \| 0 \| 0 \| 2 \| 0 \| 12 \| 2 row 18 : york city \| 2009-10 \| 5 \| 1 \| 1 \| 0 \| 0 \| 0 \| 3 \| 0 \| 9 \| 1 row 19 : wrexham \| 2010-11 \| 5 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 5 \| 0 row 20 : career total \| career total \| 296 \| 43 \| 19 \| 1 \| 11 \| 1 \| 19 \| 4 \| 345 \| 49 ] Execute this SQL based on the above table: select total goals where club = 'darlington'	2
[ header: township \| fips \| population center \| population \| population density (/mi2) \| population density (/km2) \| land area (mi2) \| land area (km2) \| water area (mi2) \| water area (km2) \| geographic coordinates row 1 : center \| 90735 \| None \| 515 \| 36.8 \| 14.2 \| 13.99 \| 36.23 \| 0.0339 \| 0.0878 \| 35°24′20′′n 92° row 2 : clark \| 90813 \| london \| 2969 \| 115.3 \| 44.6 \| 25.73 \| 66.64 \| 6.0444 \| 15.6549 \| 35°19′45′′n 93° row 3 : convenience \| 90921 \| None \| 933 \| 50.4 \| 19.4 \| 18.53 \| 47.99 \| 0.0942 \| 0.244 \| 35°20′00′′n 92° row 4 : dover \| 91134 \| dover \| 5277 \| 119.1 \| 46 \| 44.29 \| 114.7 \| 0.3637 \| 0.942 \| 35°23′30′′n 93° row 5 : freeman \| 91377 \| None \| 98 \| 0.8 \| 0.3 \| 119.78 \| 310.2 \| 0 \| 0 \| 35°39′10′′n 93° row 6 : galla \| 91407 \| pottsville \| 3523 \| 88.7 \| 34.3 \| 39.71 \| 102.8 \| 1.841 \| 4.7682 \| 35°13′15′′n 93° row 7 : griffin \| 91536 \| None \| 901 \| 26.5 \| 10.2 \| 33.96 \| 87.96 \| 0.1106 \| 0.2865 \| 35°25′30′′n 92° row 8 : illinois \| 91812 \| russellville \| 25841 \| 540.9 \| 208.9 \| 47.77 \| 123.7 \| 6.6022 \| 17.0996 \| 35°17′00′′n 93° row 9 : liberty \| 92181 \| None \| 805 \| 14.2 \| 5.5 \| 56.64 \| 146.7 \| 0.0028 \| 0.0073 \| 35°29′40′′n 93° row 10 : martin \| 92415 \| None \| 1482 \| 23.7 \| 9.2 \| 62.46 \| 161.8 \| 0.3931 \| 1.0181 \| 35°28′25′′n 93° row 11 : phoenix \| 92871 \| None \| 334 \| 26.7 \| 10.3 \| 12.51 \| 32.4 \| 0 \| 0 \| 35°24′30′′n 93° row 12 : smyrna \| 93420 \| None \| 173 \| 2.4 \| 0.9 \| 70.69 \| 183.1 \| 0.0218 \| 0.0565 \| 35°38′10′′n 92° row 13 : valley \| 93765 \| None \| 2776 \| 125.7 \| 48.5 \| 22.09 \| 57.21 \| 0.0144 \| 0.0373 \| 35°20′05′′n 93° ] Execute this SQL based on the above table: select geographic coordinates where fips < ( select fips where geographic coordinates = '35°29′40′′n 93°03′16′′w / 35.49444°n 93.05444°w' ) order by fips desc limit 1	35°17′00′′n 93°07′46′′w / 35.28333°n 93.12944°w
[ header: genre \| year \| title \| role \| episodes \| notes row 1 : film \| 1995 \| timepiece \| khris \| None \| None row 2 : tv series \| 1997 \| nash bridges \| reggie harell \| "dirty tricks" \| 4 episodes total row 3 : film \| 1998 \| around the fire \| trace \| None \| None row 4 : short film \| 1999 \| king of the bingo game \| sonny \| None \| None row 5 : tv series \| 1999 \| nash bridges \| hassam desmond kenner \| "power play" "girl trouble" \| 4 episodes total row 6 : film \| 1999 \| true crime \| wally cartwright \| None \| None row 7 : tv series \| 2000 \| nash bridges \| trumpet player \| "skin trade" \| 4 episodes total row 8 : film \| 2000 \| desi's looking for a new girl \| mother \| None \| None row 9 : film \| 2003 \| kung phooey! \| roy lee \| None \| None row 10 : tv series \| 2004 \| law & order \| ronald gumer \| "hands free" \| 2 episodes total row 11 : film \| 2006 \| freedomland \| male patient \| None \| None row 12 : tv series \| 2006 \| law & order: criminal intent \| sergeant ev sides \| "to the bone" \| 2 episodes total row 13 : tv series \| 2006 \| law & order: trial by jury \| gus \| "eros in the upper eighties" \| None row 14 : tv series \| 2008 \| the big gay sketch show \| None \| None \| 8 episodes; 16 episodes total row 15 : tv series \| 2008 \| law & order \| donnie \| "sweetie" \| 2 episodes total row 16 : film \| 2008 \| miracle at st. anna \| west indian postal customer \| None \| None row 17 : tv series \| 2009 \| great performances \| mr. franklin/m \| "passing strange" \| musical telecast row 18 : tv series \| 2010 \| the big gay sketch show \| None \| None \| 8 episodes; 16 episodes total row 19 : tv series \| 2010 \| law & order: criminal intent \| andre lanier \| "love sick" \| 2 episodes total row 20 : film \| 2012 \| lincoln \| private harold green \| None \| None row 21 : film \| 2012 \| red hook summer \| blessing rowe \| None \| None row 22 : film \| 2013 \| 42 \| lawson bowman \| None \| None row 23 : film \| 2013 \| hairbrained \| finals moderator \| None \| None row 24 : film \| 2013 \| the butler \| freddie fallows \| None \| None row 25 : film \| 2013 \| 400 boys \| talon \| None \| None ] Execute this SQL based on the above table: select year where role = 'sonny'	1999
[ header: release date \| album \| catalog number \| chart position \| notes row 1 : march 5, 1991 \| niji-iro no sneaker \| kida-15 \| 43 \| single row 2 : march 21, 1991 \| half and half \| kics-100 \| 45 \| album row 3 : march 5, 1992 \| whatever \| kics-176 \| 18 \| album row 4 : june 24, 1992 \| yume wo dakishimet \| kida-42 \| 90 \| single - magical princess minky momo theme row 5 : august 5, 1992 \| haruneko fushigi t \| kida-45 \| 49 \| single - all purpose cultural cat girl nuku row 6 : march 24, 1993 \| our goody day...bokura no good day \| kida-54 \| 54 \| single row 7 : august 23, 1993 \| shamrock \| kics-345 \| 12 \| album row 8 : may 25, 1994 \| until strawberry sherbet \| kida-81 \| 42 \| single - contains themes for bakuret row 9 : november 3, 1994 \| touch and go!! \| kida-90 \| 37 \| single - contain themes for the show blue seed row 10 : december 21, 1994 \| pulse \| tycy-5413 \| 84 \| single (re-release) row 11 : july 2, 1994 \| sphere \| kics-430 \| 8 \| album row 12 : july 21, 1995 \| midnight blue \| kida-108 \| 27 \| single - slayers the motion picture row 13 : december 6, 1995 \| going history \| kida-124 \| 25 \| single - slayers extra theme row 14 : may 22, 1996 \| kagirinai yokubou \| kida-134 \| 20 \| single - slayers special ova row 15 : october 23, 1996 \| successful mission \| kida-138 \| 7 \| single - contains themes for saber row 16 : april 23, 1997 \| don't be discouraged \| kida-148 \| 4 \| single - slayers try ending row 17 : august 6, 1997 \| iravati \| kics-640 \| 5 \| album row 18 : february 4, 1998 \| fine colorday \| kida-158 \| 9 \| single - contains themes for the show all purpose row 19 : september 4, 1998 \| a house cat \| kida-165 \| 6 \| single - contains themes to the show all purpose row 20 : october 10, 1998 \| proof of myself \| kida-170 \| 9 \| single saber marionette j row 21 : june 21, 2000 \| vintage a \| kics-810 \| 4 \| greatest hits compilation row 22 : october 25, 2000 \| unsteady \| kida-204 \| 14 \| single - contains themes from muteki row 23 : july 21, 2001 \| maemuki roketto \| zmcp-1259 \| 62 \| pocket monsters 12th ending single row 24 : august 29, 2001 \| over soul \| kicm-3016 \| 7 \| single - shaman king themes row 25 : december 5, 2001 \| feel well \| kicm-3020 \| 11 \| single - slayers premium theme row 26 : april 24, 2002 \| treat or goblins \| kicm-3030 \| 19 \| single - magical shopping arcade abenob row 27 : june 26, 2002 \| feel well \| kics-955 \| 7 \| album row 28 : september 25, 2002 \| koibumi \| kicm-3035 \| 7 \| single row 29 : september 26, 2003 \| makenaide makenaide \| kicm-1083 \| 8 \| single - contains the themes for hayashi ] Execute this SQL based on the above table: select chart position where chart position = 20	20
[ header: season \| tier \| division \| pos. \| notes row 1 : 2003-04 \| 1 \| division de honor \| 1st \| league champion row 2 : 2004-05 \| 1 \| division de honor \| 2nd \| cup champion row 3 : 2005-06 \| 1 \| division de honor \| 3rd \| None row 4 : 2006-07 \| 1 \| division de honor \| 3rd \| None row 5 : 2007-08 \| 1 \| division de honor \| 1st \| league champion row 6 : 2008-09 \| 1 \| division de honor \| 3rd \| None row 7 : 2009-10 \| 1 \| division de honor \| 2nd \| None row 8 : 2010-11 \| 1 \| division de honor \| 2nd \| None row 9 : 2011-12 \| 1 \| division de honor \| 9th \| relegated row 10 : 2012-13 \| 3 \| primera nacional \| 1st \| None row 11 : 2013-14 \| 3 \| primera nacional \| None \| None ] Execute this SQL based on the above table: select pos. order by tier desc limit 1	1st
[ header: date \| championship \| location \| category \| surface \| prev. result \| prev. points \| new points \| outcome row 1 : 29 december 2013- 5 janu \| brisbane international \| brisbane (aus) \| wta premier \| hard \| sf \| 200 \| 305 \| final lost to serena williams row 2 : 14 january 2014- 27 jan \| australian open \| melbourne (aus) \| grand slam \| hard \| w \| 2000 \| 430 \| quarter-finals lost to agnies row 3 : 10 february 2014- 16 february \| qatar total open \| doha (qat) \| wta premier 5 \| hard \| w \| 900 \| 0 \| withdrew due to left foot injury row 4 : 3 march 2014- 16 march 2014 \| indian wells \| indian wells (usa) \| wta premier mandatory \| hard \| qf \| 250 \| 45 \| second round lost to lauren davis row 5 : 17 march 2013- 30 march 2014 \| sony open tennis \| miami (usa) \| wta premier mandatory \| hard \| dnp \| 0 \| 0 \| withdrew due to left foot injury row 6 : 5 may 2014- 11 may 2014 \| mutua madrid masters \| madrid (esp) \| wta premier mandatory \| clay \| 2r \| 60 \| None \| pending row 7 : 12 may 2014- 18 may 2014 \| internazionali bnl \| rome (ita) \| wta premier 5 \| clay \| f \| 700 \| None \| pending row 8 : 25 may 2014- 8 june 2014 \| french open \| paris (fra) \| grand slam \| clay \| sf \| 900 \| None \| pending row 9 : 23 june 2014- 6 july \| wimbledon \| london (gbr) \| grand slam \| grass \| 2r \| 100 \| None \| pending row 10 : 4 august 2014- 10 august 2014 \| rogers cup \| toronto (can) \| wta premier 5 \| hard \| dnp \| 0 \| None \| pending row 11 : 11 august 2014- 17 august 2014 \| western and southern open \| cincinnati (usa) \| wta premier 5 \| hard \| w \| 900 \| None \| pending row 12 : 25 august 2014- 8 september 2014 \| us open \| new york (usa) \| grand slam \| hard \| f \| 1400 \| None \| pending row 13 : 22 september 2014- 27 september 2014 \| toray pan pacific open \| wuhan (chn) \| wta premier 5 \| hard \| 2r \| 60 \| None \| pending row 14 : 27 september 2014- 5 octo \| china open \| beijing (chn) \| wta premier mandatory \| hard \| 1r \| 5 \| None \| pending row 15 : 20 october 2013- 26 \| wta tour championships \| singapore (sin) \| wta tour championships \| hard (i) \| rr \| 400 \| None \| pending ] Execute this SQL based on the above table: select surface group by surface order by count ( * ) desc limit 1	hard
[ header: \| name \| nation \| points \| games \| pts/game row 1 : 1 \| karen andrew \| england \| 44 \| 5 \| 8.8 row 2 : 2 \| daniella waterman \| england \| 40 \| 5 \| 8 row 3 : 3 \| christelle le duff \| france \| 33 \| 5 \| 6.6 row 4 : 4 \| charlotte barras \| england \| 30 \| 5 \| 6 row 5 : 5 \| naomi thomas \| wales \| 25 \| 5 \| 5 row 6 : 6 \| susan day \| england \| 20 \| 5 \| 4 row 7 : 7 \| lucy millard \| scotland \| 20 \| 5 \| 4 row 8 : 8 \| veronica schiavon \| italy \| 19 \| 4 \| 4.75 row 9 : 9 \| estelle sartini \| france \| 17 \| 5 \| 3.4 row 10 : 10 \| margaret alphonsie \| england \| 15 \| 5 \| 3 row 11 : 11 \| fanny horta \| france \| 15 \| 5 \| 3 row 12 : 12 \| jeannette feighery \| ireland \| 15 \| 5 \| 3 row 13 : 13 \| non evans \| wales \| 14 \| 3 \| 4.67 row 14 : 14 \| lynsey harley \| scotland \| 12 \| 2 \| 6 row 15 : 15 \| delphine plantet \| france \| 10 \| 5 \| 2 row 16 : 16 \| joanne o'sullivan \| ireland \| 10 \| 5 \| 2 row 17 : 17 \| katy mclean \| england \| 9 \| 3 \| 3 row 18 : 18 \| michela tondinelli \| italy \| 6 \| 5 \| 1.2 row 19 : 19 \| georgia stevens \| england \| 5 \| 5 \| 1 row 20 : 20 \| mel berry \| wales \| 5 \| 5 \| 1 ] Execute this SQL based on the above table: select nation where nation < ( select nation where nation = 'wales' ) order by nation desc limit 1	scotland
[ header: bridge name \| location \| year completed \| total length \| carries row 1 : old youngs bay bridge \| astoria, oregon \| 1921 \| 1,766.2 feet (538.3 m \| u.s. route 101 row 2 : oregon city bridge \| oregon city, oregon \| 1922 \| 745 feet (227 m) \| oregon route 43 row 3 : dry canyon creek bridge \| near rowena, oregon \| 1922 \| 101.1 ft \| u.s. route 30 row 4 : winchester bridge \| winchester, oregon \| 1923 \| 884 feet \| oregon route 99 row 5 : lewis and clark river bridge \| astoria, oregon \| 1924 \| 828 feet \| u.s. route 101 row 6 : ellsworth street bridge \| albany, oregon \| 1925 \| 1,090 feet \| u.s. route 20 row 7 : rocky creek bridge \| lincoln county, oregon \| 1927 \| 360 feet \| u.s. route 101 row 8 : depoe bay bridge \| depoe bay, oregon \| 1927 \| 312 feet \| u.s. route 101 row 9 : crooked river high bridge \| jefferson county, oregon \| 1926 \| 464 feet \| u.s. route 97 row 10 : big creek bridge \| lane county, oregon \| 1931 \| 180 feet \| u.s. route 101 row 11 : ten mile creek bridge \| near yachats, oregon \| 1931 \| 180 feet \| u.s. route 101 row 12 : wilson river bridge \| tillamook county, oregon \| 1931 \| 180 feet \| u.s. route 101 row 13 : rogue river bridge \| grants pass, oregon \| 1931 \| 550 feet \| redwood highway row 14 : cape creek bridge \| near heceta head \| 1932 \| 619 feet (188.6 m) \| u.s. route 101 row 15 : isaac lee patterson bridge \| gold beach, oregon \| 1932 \| 1,898 feet (578.5 m) \| u.s. route 101 row 16 : john mcloughlin bridge \| oregon city, oregon \| 1933 \| 720 feet \| oregon route 99e row 17 : umpqua river bridge \| reedsport, oregon \| 1936 \| 2,206 feet \| u.s. route 101 row 18 : siuslaw river bridge \| florence, oregon \| 1936 \| 1,568 feet \| u.s. route 101 row 19 : alsea bay bridge \| waldport, oregon \| 1936 \| 3,028 feet \| u.s. route 101 row 20 : yaquina bay bridge \| newport, oregon \| 1936 \| 3,223 feet (982 m) \| u.s. route 101 row 21 : coos bay bridge \| north bend, oregon \| 1936 \| 5,305 feet (1.6 km) \| u.s. route 101 ] Execute this SQL based on the above table: select location order by id desc limit 1	north bend, oregon
[ header: name \| type \| technologies \| author \| presented / last updated \| licence \| homepage row 1 : abyss \| (large) genomes \| solexa, solid \| simpson, j. et \| 2008 / 2011 \| nc-a \| link row 2 : amos \| genomes \| sanger, 454 \| salzberg, s. et \| 2002 / 2008 \| os \| link row 3 : arapan-m \| medium genomes (e.g. e \| all \| sahli, m. \| 2011 / 2012 \| os \| link row 4 : celera wga assembler \| (large) genomes \| sanger, 454, solexa \| myers, g. et al \| 2004 / 2010 \| os \| link row 5 : clc genomics workbench \| genomes \| sanger, 454, solexa, solid \| clc bio \| 2008 / 2010 / 2011 \| c \| link row 6 : euler-sr \| genomes \| 454, solexa \| chaisson, mj. e \| 2008 \| nc-a \| link row 7 : forge \| (large) genomes, est, metagen \| 454, solexa, solid, sanger \| platt, dm, evers, \| 2010 \| os \| link row 8 : idba (iterative de \| (large) genomes \| sanger,454,solexa \| yu peng, henry \| 2010 \| (c / nc-a?) \| link row 9 : pasha \| (large) genomes \| illumina \| liu, schmidt, \| 2011 \| os \| link row 10 : tigr assembler \| genomic \| sanger \| None \| 1995 / 2003 \| os \| link row 11 : seqman ngen \| (large) genomes, exomes, \| illumina, abi solid, roch \| dnastar \| 2007 / 2011 \| c \| link row 12 : sopra \| genomes \| illumina, solid, sanger, 4 \| dayarian, a. et al \| 2010 / 2011 \| os \| link row 13 : sparseassembler \| (large) genomes \| illumina, 454, ion torrent \| ye, c. et \| 2012 / 2012 \| os \| link row 14 : staden gap4 package \| bacs (, small genomes?) \| sanger \| staden et al \| 1991 / 2008 \| os \| link row 15 : taipan \| (small) genomes \| illumina \| schmidt, b. e \| 2009 \| os \| link ] Execute this SQL based on the above table: select count ( licence ) where author in ( 'ye, c. et al' , 'simpson, j. et al' )	2
[ header: year \| title \| album \| us r&b \| us pop \| us dance row 1 : 1989 \| "talk to myself"/sweet memories \| adventures in paradise a \| 4 \| 49 \| 18 row 2 : 1989 \| "promises, promises"/lover \| adventures in paradise a \| 7 \| None \| None row 3 : 1990 \| "one girl"/lover come back \| adventures in paradise a \| 31 \| None \| None row 4 : 1991 \| "i'm dreamin'" \| new jack city soundtrack \| 1 \| 89 \| 16 row 5 : 1991 \| "i wanna b ure lover" \| f.s. effect featuring christoph \| 52 \| None \| None row 6 : 1992 \| "all i see" \| changes \| 19 \| None \| 46 row 7 : 1993 \| "every little thing u do" \| changes \| 7 \| 75 \| None row 8 : 1993 \| "come go with me" \| changes \| 74 \| None \| None row 9 : 1995 \| "dance 4 me" \| not a perfect man \| 25 \| None \| None row 10 : 1995 \| "if you say" \| not a perfect man \| 91 \| None \| None ] Execute this SQL based on the above table: select min ( year ) where title not null	1989
[ 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 school order by last final limit 1	galway grammar school
[ header: outcome \| no. \| date \| tournament \| surface \| partner \| opponents in the final \| score in the final row 1 : runner-up \| 1 \| 1986 \| toronto indoor, canada \| carpet \| danie visser \| wojtek fibak joakim \| 3-6, 6-7 row 2 : winner \| 1 \| 1986 \| milan, italy \| carpet \| colin dowdeswell \| brian levine laurie warder \| 6-3, 4-6, 6-1 row 3 : runner-up \| 2 \| 1986 \| atlanta, u.s \| carpet \| danie visser \| andy kohlberg robert van \| 2-6, 3-6 row 4 : winner \| 2 \| 1986 \| bristol, england \| grass \| danie visser \| mark edmondson wally masur \| 6-7, 7-6, 12-10 row 5 : runner-up \| 3 \| 1986 \| cincinnati, u.s \| hard \| danie visser \| mark kratzmann kim warwick \| 3-6, 4-6 row 6 : runner-up \| 4 \| 1986 \| tel aviv, israel \| hard \| danie visser \| john letts peter lund \| 3-6, 6-3, 3-6 row 7 : runner-up \| 5 \| 1987 \| philadelphia, u.s \| carpet \| danie visser \| sergio casal emilio s \| 6-3, 1-6, 6-7 ] Execute this SQL based on the above table: select partner where tournament = 'tel aviv, israel'	danie visser
[ header: \| name on the register \| date listed \| location \| city or town \| summary row 1 : 40 \| highland park general hospital \| october 31, 1985 (#850 \| 357 glendale ave. \| highland park \| the highland park general hospital is a ] Execute this SQL based on the above table: select count ( location )	1
[ header: rank \| wrestler \| no. of reigns \| combined days row 1 : 1 \| lou thesz \| 3 \| 3749 row 2 : 2 \| ric flair \| 8 \| 3103 row 3 : 3 \| harley race \| 7 \| 1799 row 4 : 4 \| dory funk, jr \| 1 \| 1563 row 5 : 5 \| dan severn \| 2 \| 1559 row 6 : 6 \| gene kiniski \| 1 \| 1131 row 7 : 7 \| adam pearce \| 5 \| 1078 row 8 : 8 \| jeff jarrett \| 6 \| 1006 row 9 : 9 \| pat o'connor \| 1 \| 903 row 10 : 10 \| jack brisco \| 2 \| 866 row 11 : 11 \| orville brown \| 1 \| 692 row 12 : 12 \| buddy rogers \| 1 \| 573 row 13 : 13 \| blue demon, jr \| 1 \| 505 row 14 : 14 \| naoya ogawa \| 2 \| 469 row 15 : 15 \| terry funk \| 1 \| 424 row 16 : 16 \| dick hutton \| 1 \| 421 row 17 : 17 \| rob conway \| 1 \| 294 row 18 : 18 \| christian cage \| 2 \| 245 row 19 : 19 \| whipper billy watson \| 1 \| 239 row 20 : 20 \| sting \| 2 \| 216 row 21 : 21 \| a.j. styles \| 3 \| 196 row 22 : 22 \| mike rapada \| 2 \| 176 row 23 : 23 \| steve corino \| 1 \| 175 row 24 : 24 \| colt cabana \| 2 \| 152 row 25 : 25 \| barry windham \| 1 \| 147 row 26 : 26 \| masahiro chono \| 1 \| 145 row 27 : 27 \| kahagas \| 1 \| 134 row 28 : 28 \| ron killings \| 2 \| 119 row 29 : 29 \| dusty rhodes \| 3 \| 107 row 30 : 30 \| chris candido \| 1 \| 97 row 31 : 31 \| raven \| 1 \| 88 row 32 : 32 \| satoshi kojima \| 1 \| 159 row 33 : 33 \| shinya hashimoto \| 1 \| 84 row 34 : 34 \| the sheik \| 1 \| 79 row 35 : 35 \| ricky steamboat \| 1 \| 76 row 36 : 36 \| ron garvin \| 1 \| 62 row 37 : 37 \| abyss \| 1 \| 56 row 38 : 39 \| ken shamrock \| 1 \| 49 row 39 : 39 \| brent albright \| 1 \| 49 row 40 : 40 \| the great muta \| 1 \| 48 row 41 : 41 \| sabu \| 1 \| 38 row 42 : 42 \| giant baba \| 3 \| 19 row 43 : 43 \| kerry von erich \| 1 \| 18 row 44 : 44 \| gary steele \| 1 \| 7 row 45 : 45 \| tommy rich \| 1 \| 4 row 46 : 46 \| rhino \| 1 \| 2 row 47 : 47 \| shane douglas \| 1 \| <1 ] Execute this SQL based on the above table: select wrestler order by rank desc limit 1	shane douglas
[ header: season \| series \| team \| races \| wins \| poles \| fast laps \| points \| pos. row 1 : 2001 \| formula one \| prost \| None \| None \| None \| None \| None \| test driver row 2 : 2001 \| formula 3000 international \| gd racing \| 4 \| 0 \| 0 \| 0 \| 0 \| nc row 3 : 2001 \| world series by nissan \| gd racing \| 6 \| 0 \| 0 \| 1 \| 51 \| 9th row 4 : 2002 \| world series by nissan \| gd racing \| 6 \| 0 \| 0 \| 0 \| 30 \| 13th row 5 : 2003 \| world series by nissan \| gd racing \| 2 \| 0 \| 0 \| 0 \| 0 \| nc row 6 : 2006 \| formula one \| renault \| None \| None \| None \| None \| None \| test driver row 7 : 2007-08 \| a1 grand prix \| a1 team france \| 2 \| 0 \| 0 \| 0 \| 0 \| 4th ] Execute this SQL based on the above table: select count ( team ) where series = 11	0
[ header: name of place \| number of counties \| principal county \| lower zip code row 1 : yager junction \| 1 \| humboldt county \| None row 2 : yale \| 1 \| riverside county \| 92544 row 3 : yankee hill \| 1 \| butte county \| 95965 row 4 : yankee hill \| 1 \| tuolumne county \| None row 5 : yankee jims \| 1 \| placer county \| 95713 row 6 : yarmouth \| 1 \| san joaquin county \| None row 7 : yellowjacket \| 1 \| tehama county \| None row 8 : yerba buena island \| 1 \| san francisco county \| None row 9 : yermo \| 1 \| san bernardino county \| 92398 row 10 : yettem \| 1 \| tulare county \| 93670 row 11 : ygnacio valley \| 1 \| contra costa county \| 94598 row 12 : yokohl \| 1 \| tulare county \| None row 13 : yolano \| 1 \| solano county \| 95620 row 14 : yolo \| 1 \| yolo county \| 95697 row 15 : yontocket \| 1 \| del norte county \| None row 16 : yorba \| 1 \| los angeles county \| 91767 row 17 : yorba linda \| 1 \| orange county \| 92686 row 18 : york \| 1 \| los angeles county \| 90050 row 19 : yorkville \| 1 \| mendocino county \| 95494 row 20 : yosemite forks \| 1 \| madera county \| None row 21 : yosemite junction \| 1 \| tuolumne county \| 95389 row 22 : yosemite lakes \| 1 \| madera county \| None row 23 : yosemite lakes park \| 1 \| madera county \| None row 24 : yosemite lodge \| 1 \| mariposa county \| 95389 row 25 : yosemite national park \| 3 \| madera county \| 95389 row 26 : yosemite national park \| 3 \| mariposa county \| 95389 row 27 : yosemite national park \| 3 \| tuolumne county \| 95389 row 28 : yosemite national park \| 1 \| mariposa county \| 95389 row 29 : yosemite valley \| 1 \| mariposa county \| None row 30 : yosemite village \| 1 \| mariposa county \| None row 31 : you bet \| 1 \| nevada county \| None row 32 : youngstown \| 1 \| san joaquin county \| None row 33 : yountville \| 1 \| napa county \| 94599 row 34 : yreka \| 1 \| siskiyou county \| 96097 row 35 : yreka city \| 1 \| siskiyou county \| 96097 row 36 : yuba city \| 1 \| sutter county \| 95991 row 37 : yuba city farm labor center \| 1 \| sutter county \| 95991 row 38 : yuba pass \| 1 \| nevada county \| None row 39 : yuba-sutter area \| 2 \| sutter county yuba county \| None row 40 : yucaipa \| 1 \| san bernardino county \| 92399 row 41 : yucca inn \| 1 \| san bernardino county \| None row 42 : yucca valley \| 1 \| san bernardino county \| 92284 row 43 : yurok indian reservation \| 2 \| del norte county \| 95546 ] Execute this SQL based on the above table: select name of place order by lower zip code limit 1	yager junction
[ header: team \| constructor \| motorcycle \| tyres \| no \| rider \| rounds row 1 : camel yamaha team \| yamaha \| yamaha yzr-m1 \| m \| 5 \| colin edwards \| all row 2 : camel yamaha team \| yamaha \| yamaha yzr-m1 \| m \| 46 \| valentino rossi \| all row 3 : konica minolta honda \| honda \| honda rc211v \| m \| 6 \| makoto tamada \| all row 4 : tech 3 yamaha \| yamaha \| yamaha yzr-m1 \| d \| 7 \| carlos checa \| all row 5 : tech 3 yamaha \| yamaha \| yamaha yzr-m1 \| d \| 77 \| james ellison \| all row 6 : ducati marlboro team \| ducati \| ducati desmosedici gp \| b \| 15 \| sete gibernau \| 1-7, 10-11, 13-16 row 7 : ducati marlboro team \| ducati \| ducati desmosedici gp \| b \| 65 \| loris capirossi \| all row 8 : ducati marlboro team \| ducati \| ducati desmosedici gp \| b \| 66 \| alex hofmann \| 8-9, 12 row 9 : ducati marlboro team \| ducati \| ducati desmosedici gp \| b \| 12 \| troy bayliss \| 17 row 10 : kawasaki racing team \| kawasaki \| kawasaki ninja z \| b \| 17 \| randy de puniet \| all row 11 : kawasaki racing team \| kawasaki \| kawasaki ninja z \| b \| 56 \| shinya nakano \| all row 12 : kawasaki racing team \| kawasaki \| kawasaki ninja z \| b \| 8 \| naoki matsudo \| 15 row 13 : rizla suzuki motogp \| suzuki \| suzuki gsv-r \| b \| 21 \| john hopkins \| all row 14 : rizla suzuki motogp \| suzuki \| suzuki gsv-r \| b \| 71 \| chris vermeulen \| all row 15 : repsol honda team \| honda \| honda rc211v \| m \| 26 \| dani pedrosa \| all row 16 : repsol honda team \| honda \| honda rc211v \| m \| 69 \| nicky hayden \| all row 17 : honda lcr \| honda \| honda rc211v \| m \| 27 \| casey stoner \| all row 18 : pramac d'antin moto \| ducati \| ducati desmosedici gp \| d \| 30 \| jose luis cardoso \| all row 19 : pramac d'antin moto \| ducati \| ducati desmosedici gp \| d \| 66 \| alex hofmann \| 1-7, 10-11, 13-17 row 20 : pramac d'antin moto \| ducati \| ducati desmosedici gp \| d \| 22 \| ivan silva \| 8-9, 12 row 21 : fortuna honda \| honda \| honda rc211v \| m \| 24 \| toni elias \| 1-8, 10-17 row 22 : fortuna honda \| honda \| honda rc211v \| m \| 33 \| marco melandri \| all row 23 : fortuna honda \| honda \| honda rc211v \| m \| 84 \| michel fabrizio \| 9 ] Execute this SQL based on the above table: select ( select count ( * ) where no = 46 ) - ( select count ( * ) where no = 46 )	0
[ header: round \| round \| circuit \| date \| pole position \| fastest lap \| winning rider row 1 : 1 \| r1 \| jerez \| 18 march \| raymond roche \| stephane mertens \| raymond roche row 2 : 1 \| r2 \| jerez \| 18 march \| raymond roche \| raymond roche \| raymond roche row 3 : 2 \| r1 \| donington \| 16 april \| giancarlo falappa \| rob phillis \| fred merkel row 4 : 2 \| r2 \| donington \| 16 april \| giancarlo falappa \| raymond roche \| giancarlo falappa row 5 : 3 \| r1 \| hungaroring \| 30 april \| malcolm campbell \| raymond roche \| fred merkel row 6 : 3 \| r2 \| hungaroring \| 30 april \| malcolm campbell \| fred merkel \| raymond roche row 7 : 4 \| r1 \| hockenheim \| 6 may \| raymond roche \| fred merkel \| fred merkel row 8 : 4 \| r2 \| hockenheim \| 6 may \| raymond roche \| raymond roche \| stephane mertens row 9 : 5 \| r1 \| mosport \| 3 june \| giancarlo falappa \| raymond roche \| raymond roche row 10 : 5 \| r2 \| mosport \| 3 june \| giancarlo falappa \| jamie james \| raymond roche row 11 : 6 \| r1 \| brainerd \| 10 june \| doug chandler \| doug chandler \| stephane mertens row 12 : 6 \| r2 \| brainerd \| 10 june \| doug chandler \| fabrizio pirovano \| doug chandler row 13 : 7 \| r1 \| osterreichring \| 1 july \| stephane mertens \| rob mcelnea \| fabrizio pirovano row 14 : 7 \| r2 \| osterreichring \| 1 july \| stephane mertens \| stephane mertens \| stephane mertens row 15 : 8 \| r1 \| sugo \| 26 august \| raymond roche \| raymond roche \| raymond roche row 16 : 8 \| r2 \| sugo \| 26 august \| raymond roche \| peter goddard \| doug chandler row 17 : 9 \| r1 \| le mans \| 9 september \| baldassarre monti \| raymond roche \| raymond roche row 18 : 9 \| r2 \| le mans \| 9 september \| baldassarre monti \| jamie james \| raymond roche row 19 : 10 \| r1 \| monza \| 7 october \| baldassarre monti \| rob phillis \| fabrizio pirovano row 20 : 10 \| r2 \| monza \| 7 october \| baldassarre monti \| rob phillis \| fabrizio pirovano row 21 : 11 \| r1 \| shah alam \| 4 november \| rob phillis \| fabrizio pirovano \| fabrizio pirovano row 22 : 11 \| r2 \| shah alam \| 4 november \| rob phillis \| raymond roche \| fabrizio pirovano row 23 : 12 \| r1 \| phillip island \| 11 november \| peter goddard \| fabrizio pirovano \| peter goddard ] Execute this SQL based on the above table: select winning rider where round = 1	raymond roche, raymond roche
[ header: year \| vote % \| place \| seats \| place \| cabinet row 1 : 1945 \| None \| None \| 25 \| 1st \| yes row 2 : 1948 \| None \| None \| 22 \| 1st \| yes row 3 : 1951 \| None \| None \| 21 \| 1st \| yes row 4 : 1954 \| 42.4 \| 1st \| 26 \| 1st \| yes row 5 : 1959 \| 36.9 \| 1st \| 21 \| 1st \| yes row 6 : 1964 \| 33.3 \| 2nd \| 22 \| 1st \| yes row 7 : 1968 \| 35.2 \| 1st \| 21 \| 1st \| yes row 8 : 1974 \| 27.6 \| 2nd \| 18 \| 1st \| no row 9 : 1979 \| 34.5 \| 1st \| 24 \| 1st \| yes row 10 : 1984 \| 34.9 \| 1st \| 25 \| 1st \| yes row 11 : 1989 \| 32.4 \| 1st \| 22 \| 1st \| yes row 12 : 1994 \| 30.3 \| 1st \| 21 \| 1st \| yes row 13 : 1999 \| 30.1 \| 1st \| 19 \| 1st \| yes row 14 : 2004 \| 36.1 \| 1st \| 24 \| 1st \| yes row 15 : 2009 \| 38 \| 1st \| 26 \| 1st \| yes row 16 : 2013 \| 33.6 \| 1st \| 23 \| 1st \| no ] Execute this SQL based on the above table: select cabinet where place = '1st' and cabinet in ( 'yes' , 'yes' )	yes, yes, yes, yes, yes, yes, yes, yes, yes, yes
[ header: club \| season \| league apps \| league goals \| cup1 apps \| cup1 goals \| continental2 apps \| continental2 goals \| other3 apps \| other3 goals \| total apps \| total goals row 1 : anzhi makhachkala \| 1999 \| 40 \| 2 \| None \| None \| None \| None \| None \| None \| 40 \| 2 row 2 : anzhi makhachkala \| 2000 \| 30 \| 3 \| None \| None \| None \| None \| None \| None \| 30 \| 3 row 3 : anzhi makhachkala \| 2001 \| 14 \| 0 \| None \| None \| None \| None \| None \| None \| 14 \| 0 row 4 : anzhi makhachkala \| total \| 84 \| 5 \| None \| None \| None \| None \| None \| None \| 84 \| 5 row 5 : cska moscow \| 2001 \| 12 \| 1 \| None \| None \| None \| None \| None \| None \| 12 \| 1 row 6 : cska moscow \| 2002 \| 29 \| 2 \| None \| None \| 2 \| 0 \| None \| None \| 31 \| 2 row 7 : cska moscow \| 2003 \| 28 \| 1 \| None \| None \| 2 \| 0 \| 1 \| 0 \| 31 \| 1 row 8 : cska moscow \| 2004 \| 26 \| 1 \| None \| None \| 10 \| 0 \| 1 \| 0 \| 27 \| 1 row 9 : cska moscow \| 2005 \| 30 \| 1 \| 0 \| 0 \| 15 \| 0 \| None \| None \| 45 \| 1 row 10 : cska moscow \| 2006 \| 30 \| 1 \| 6 \| 0 \| 7 \| 0 \| 1 \| 0 \| 44 \| 1 row 11 : cska moscow \| 2007 \| 27 \| 0 \| 5 \| 0 \| 7 \| 0 \| 1 \| 0 \| 40 \| 0 row 12 : cska moscow \| 2008 \| 23 \| 0 \| 3 \| 0 \| None \| None \| None \| None \| 18 \| 0 row 13 : cska moscow \| 2009 \| 10 \| 0 \| 1 \| 0 \| 6 \| 0 \| 1 \| 0 \| 18 \| 0 row 14 : cska moscow \| 2010 \| 11 \| 0 \| 1 \| 0 \| 6 \| 0 \| 0 \| 0 \| 18 \| 0 row 15 : cska moscow \| 2011-12 \| 13 \| 0 \| 1 \| 0 \| 1 \| 0 \| 0 \| 0 \| 15 \| 0 row 16 : cska moscow \| 2012-13 \| 0 \| 0 \| 1 \| 0 \| 0 \| 0 \| None \| None \| 1 \| 0 row 17 : cska moscow \| 2013-14 \| 1 \| 0 \| 0 \| 0 \| 0 \| 0 \| None \| None \| 1 \| 0 row 18 : cska moscow \| total \| 240 \| 7 \| 1 \| 0 \| 56 \| 0 \| 5 \| 0 \| 302 \| 7 row 19 : career total \| career total \| 324 \| 12 \| 1 \| 0 \| 56 \| 0 \| 5 \| 0 \| 386 \| 12 ] Execute this SQL based on the above table: select count ( club )	19
[ header: year \| round \| position \| matches \| wins \| draws \| losses \| gf \| ga row 1 : 1930 to 1990 \| competed as part of yugoslav \| None \| None \| None \| None \| None \| None \| None row 2 : 1994 \| could not enter \| None \| None \| None \| None \| None \| None \| None row 3 : 1998 \| third place \| 3 \| 7 \| 5 \| 0 \| 2 \| 11 \| 5 row 4 : / 2002 \| group stage \| 23 \| 3 \| 1 \| 0 \| 2 \| 2 \| 3 row 5 : 2006 \| group stage \| 22 \| 3 \| 0 \| 2 \| 1 \| 2 \| 3 row 6 : 2010 \| did not qualify \| None \| None \| None \| None \| None \| None \| None row 7 : 2014 \| qualified \| None \| None \| None \| None \| None \| None \| None row 8 : total \| 4/5 \| None \| 13 \| 6 \| 2 \| 5 \| 15 \| 11 ] Execute this SQL based on the above table: select position where position in ( 'None' , 23 ) order by round limit 1	23
[ header: no. \| song \| singers \| length (m:ss) row 1 : 1 \| kalluri padam \| shankar mahadevan \| 01:32 row 2 : 2 \| iru kangal \| balram, gopika poornima \| 04:49 row 3 : 3 \| sithanna vasal \| s. p. balasubram \| 04:53 row 4 : 4 \| thozha thozha \| karthik \| 03:57 row 5 : 5 \| vidinjakka kannalam \| chitra sivaraman \| 04:20 row 6 : 6 \| mullai poo \| spb charan, ven \| 04:33 row 7 : 7 \| yarum ariya \| pavithra \| 05:16 row 8 : 8 \| salsa - theme music \| instrumental \| 01:33 ] Execute this SQL based on the above table: select song where singers = 'instrumental'	salsa - theme music
[ header: institution \| city \| state \| team name \| affiliation \| enrollment \| home conference row 1 : augustana college (illinois) \| rock island \| illinois \| vikings \| private/lutheran \| 2500 \| cciw row 2 : aurora university \| aurora \| illinois \| spartans \| private/non-sectarian \| 1685 \| northern row 3 : beloit college \| beloit \| wisconsin \| buccaneers \| private/non-sectarian \| 1300 \| midwest row 4 : benedictine university \| lisle \| illinois \| eagles \| private/catholic \| 3282 \| northern row 5 : carthage college \| kenosha \| wisconsin \| red men \| private/lutheran \| 2188 \| cciw row 6 : concordia university wisconsin \| mequon \| wisconsin \| falcons \| private/lutheran \| 1608 \| northern row 7 : university of dubuque \| dubuque \| iowa \| spartans \| private/presbyterian \| 1559 \| iiac row 8 : elmhurst college \| elmhurst \| illinois \| bluejays \| private/united church of christ \| 3400 \| cciw row 9 : fontbonne university \| st. louis \| missouri \| griffins \| private/catholic \| 2924 \| sliac row 10 : college of mount st. josep \| cincinnati \| ohio \| lions \| private/catholic \| 1334 \| hcac row 11 : north central college \| naperville \| illinois \| cardinals \| private/methodist \| 2900 \| cciw ] Execute this SQL based on the above table: select count ( state )	11
[ header: club \| season \| league apps \| league goals \| fa cup apps \| fa cup goals \| league cup apps \| league cup goals \| other apps \| other goals \| total apps \| total goals row 1 : bristol rovers \| 2000-01 \| 10 \| 2 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 10 \| 2 row 2 : bristol rovers \| 2001-02 \| 31 \| 3 \| 3 \| 0 \| 2 \| 0 \| 3 \| 0 \| 39 \| 3 row 3 : bristol rovers \| 2002-03 \| 9 \| 0 \| 1 \| 0 \| 0 \| 0 \| 1 \| 0 \| 11 \| 0 row 4 : bristol rovers \| total \| 50 \| 5 \| 4 \| 0 \| 2 \| 0 \| 4 \| 0 \| 60 \| 5 row 5 : yeovil town \| 2002-03 \| 13 \| 13 \| 0 \| 0 \| 0 \| 0 \| 2 \| 1 \| 15 \| 14 row 6 : yeovil town \| 2003-04 \| 43 \| 8 \| 3 \| 1 \| 1 \| 0 \| 2 \| 1 \| 49 \| 10 row 7 : yeovil town \| 2004-05 \| 44 \| 3 \| 5 \| 0 \| 2 \| 0 \| 1 \| 0 \| 52 \| 3 row 8 : yeovil town \| 2005-06 \| 36 \| 2 \| 3 \| 0 \| 2 \| 1 \| 1 \| 0 \| 42 \| 3 row 9 : yeovil town \| total \| 136 \| 26 \| 11 \| 1 \| 5 \| 1 \| 6 \| 2 \| 158 \| 30 row 10 : carlisle united \| 2006-07 \| 45 \| 8 \| 1 \| 0 \| 1 \| 0 \| 1 \| 0 \| 48 \| 8 row 11 : carlisle united \| 2007-08 \| 21 \| 1 \| 2 \| 0 \| 2 \| 0 \| 2 \| 2 \| 27 \| 3 row 12 : carlisle united \| 2008-09 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 row 13 : carlisle united \| total \| 66 \| 9 \| 3 \| 0 \| 3 \| 0 \| 3 \| 2 \| 75 \| 11 row 14 : darlington (loan) \| 2008-09 \| 8 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 8 \| 0 row 15 : lincoln city (loan \| 2008-09 \| 9 \| 0 \| 0 \| 0 \| 1 \| 0 \| 1 \| 0 \| 11 \| 0 row 16 : port vale (loan) \| 2008-09 \| 7 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 7 \| 0 row 17 : darlington \| 2009-10 \| 10 \| 2 \| 0 \| 0 \| 0 \| 0 \| 2 \| 0 \| 12 \| 2 row 18 : york city \| 2009-10 \| 5 \| 1 \| 1 \| 0 \| 0 \| 0 \| 3 \| 0 \| 9 \| 1 row 19 : wrexham \| 2010-11 \| 5 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 5 \| 0 row 20 : career total \| career total \| 296 \| 43 \| 19 \| 1 \| 11 \| 1 \| 19 \| 4 \| 345 \| 49 ] Execute this SQL based on the above table: select other apps where fa cup apps = 19	19.0
[ header: season \| driver \| equipment \| position \| points \| races \| wins \| second \| third row 1 : 2001 \| modris stelle \| zabel-ayr \| 27 \| 14 \| 10 \| None \| None \| None row 2 : 2002 \| modris stelle \| zabel-ayr \| 23 \| 69 \| 12 \| None \| None \| None row 3 : 2003 \| daniel willemsen \| zabel-vmc \| 1 \| 561 \| 24 \| 13 \| 9 \| None row 4 : 2004 \| daniel willemsen \| zabel-vmc \| 1 \| 572 \| 26 \| 18 \| 4 \| 1 row 5 : 2005 \| kristers sergis \| mth-bsu \| 2 \| 440 \| 22 \| 7 \| 12 \| None row 6 : 2006 \| kristers sergis \| ktm-mefo \| 19 \| 64 \| 4 \| None \| 2 \| 1 row 7 : 2007 \| kristers sergis \| ktm-mefo \| 3 \| 242 \| 16 \| 1 \| 8 \| 1 row 8 : 2008 \| kristers sergis \| ktm-ayr \| 2 \| 434 \| 24 \| 4 \| 12 \| 2 row 9 : 2009 \| nicky pulinx \| zabel-vmc \| 12 \| 229 \| 25 \| None \| None \| None row 10 : 2010 \| maris rupeiks \| ktm-wsp \| 5 \| 423 \| 28 \| 1 \| 4 \| 2 row 11 : 2011 \| maris rupeiks \| zabel-wsp \| 4 \| 316 \| 22 \| 1 \| 4 \| None row 12 : 2012 \| etienne bax \| zabel-wsp \| 2 \| 447 \| 22 \| 9 \| 8 \| 1 row 13 : 2013 \| etienne bax \| zabel-vmc \| 2 \| 513 \| 25 \| 14 \| 6 \| None row 14 : None \| overall 2001 - 2013 \| None \| None \| 4224 \| 250 \| 68 \| 69 \| 8 ] Execute this SQL based on the above table: select position where position in ( 5 , 1 ) order by abs ( driver - equipment ) desc limit 1	1
[ header: numbers tops \| numbers tops \| numbers pre-tops \| name(s) \| dates \| final livery \| operator \| withdrawn \| status row 1 : 86205 \| 86503 \| e3129 \| city of lancaster \| 1979-2003 \| virgin red/black \| virgin west coast \| 10/2003 \| converted to 86701 (08/2009) row 2 : 86208 \| None \| e3141 \| city of chester \| 1979-2000 \| intercity \| ews \| 03/2002 \| scrapped at crewe electric tmd row 3 : 86223 \| None \| e3158 \| hector norwich union \| 1979-1987 1987-2004 \| anglia railways \| fm rail \| 04/2004 \| scrapped at emr kings row 4 : 86225 \| None \| e3164 \| hardwicke \| 1980-2003 \| virgin red/black \| virgin cross-country \| 07/2002 \| scrapped at rotherham (04/ row 5 : 86235 \| None \| e3194 \| novelty harold macmillan crown point \| 1979-1990 1990-1992 1992- \| anglia railways \| 'one' \| 09/2005 \| stored at long marston row 6 : 86246 \| 86505 \| e3149 \| royal anglian regiment \| 1985- \| anglia railways \| 'one' \| 12/2004 \| stored at long marston row 7 : 86251 \| None \| e3183 \| the birmingham post \| 1984-2002 \| virgin red/black \| fm rail \| 10/2002 \| stored at long marston row 8 : 86255 \| 86042 \| e3154 \| penrith beacon \| 1981-1999 \| intercity \| virgin cross-country \| 08/1998 \| scrapped at immingham rft row 9 : 86258 \| 86046 \| e3192 \| talyllyn - the first \| 1984-2001 2001-2002 \| virgin red/black \| virgin cross-country \| 07/2002 \| conversion to battery-electric locomotive cancelled. scrapped row 10 : 86419 \| 86319 \| e3120 \| post haste 150 years of the travelling post \| 1990-1993 \| rail express systems \| ews \| 03/1999 \| scrapped at crewe electric tmd row 11 : 86424 \| 86324 \| e3111 \| None \| None \| nr yellow \| network rail \| 12/2002 \| exported hungary. (08/2013) row 12 : 86501 \| 86608 \| e3180 \| crewe basford hall \| 2000-2000 \| freightliner green \| freightliner \| None \| in service row 13 : 86602 \| 86402 \| e3170 \| None \| None \| freightliner green \| freightliner \| 03/2005 \| scrapped at sandbach car & row 14 : 86605 \| 86405 \| e3185 \| intercontainer \| 1992-1996 \| freightliner green \| freightliner \| None \| in service row 15 : 86611 \| 86411 \| e3171 \| airey neave \| 1983-2003 \| freightliner grey \| freightliner \| 11/2003 \| written-off in norton bridge accident scrapped row 16 : 86614 \| 86414 \| e3145 \| frank hornby \| 1986-2001 \| freightliner green \| freightliner \| None \| in service row 17 : 86627 \| 86427 \| e3110 \| the industrial society \| 1985-1999 \| freightliner green \| freightliner \| None \| in service ] Execute this SQL based on the above table: select numbers tops where name(s) = 'the industrial society'	86627.0
[ 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 camp where 24 mar >= 1690	cheddikulam maha vidyalayam, nelukkulam kalaimahal maha vidyalayam, pampamadhu hostel school, poonathoddam college of education, vavuniya tamil maha vidyalayam (senior)
[ header: year \| party affiliation \| winner \| number of votes \| party affiliation \| loser \| number of votes \| percentage of votes row 1 : 1920 \| republican \| william f. kopp \| 38100 \| democrat \| e.w. mcmanus \| 20977 \| 64% - 36% row 2 : 1930 \| republican \| william f. kopp \| 27053 \| democrat \| max a. conrad \| 15538 \| 63% - 36% row 3 : 1932 \| democrat \| edward c. eich \| 55378 \| republican \| william f. kopp \| 46738 \| 54% - 46% row 4 : 1936 \| democrat \| edward c. eich \| 55721 \| republican \| john n. calhoun \| 53474 \| 51% - 49% row 5 : 1938 \| republican \| thomas e. martin \| 46636 \| democrat \| james p. gaffney \| 33765 \| 58% - 42% row 6 : 1940 \| republican \| thomas e. martin \| 70120 \| democrat \| mrs. zoe \| 46040 \| 60% - 40% row 7 : 1946 \| republican \| thomas e. martin \| 52488 \| democrat \| clair a. williams \| 32849 \| 62% - 38% row 8 : 1948 \| republican \| thomas e. martin \| 70959 \| democrat \| james d. france \| 60860 \| 53% - 46% row 9 : 1950 \| republican \| thomas e. martin \| 70058 \| democrat \| james d. france \| 43140 \| 62% - 38% row 10 : 1954 \| republican \| fred schwengel \| 67128 \| democrat \| john o'connor \| 50577 \| 57% - 43% row 11 : 1960 \| republican \| fred schwengel \| 104737 \| democrat \| walter j. guenther \| 67287 \| 61% - 39% row 12 : 1962 \| republican \| fred schwengel \| 65975 \| democrat \| harold stephens \| 42000 \| 61% - 39% row 13 : 1964 \| democrat \| john r. schmidhauser \| 84042 \| republican \| fred schwengel \| 80697 \| 51% - 49% row 14 : 1966 \| republican \| fred schwengel \| 64795 \| democrat \| john r. schmidhauser \| 60534 \| 51% - 48% row 15 : 1968 \| republican \| fred schwengel \| 91419 \| democrat \| john r. schmidhauser \| 81049 \| 53% - 47% row 16 : 1970 \| republican \| fred schwengel \| 60270 \| democrat \| edward mezvinsky \| 59505 \| 50% - 49% row 17 : 1974 \| democrat \| edward mezvinsky \| 75687 \| republican \| james a. leach \| 63540 \| 54% - 46% row 18 : 1978 \| republican \| james a. leach \| 79940 \| democrat \| richard e. meyers \| 45037 \| 63% - 36% row 19 : 1982 \| republican \| james a. leach \| 89595 \| democrat \| bill gluba \| 61734 \| 59% - 41% row 20 : 1984 \| republican \| james a. leach \| 131182 \| democrat \| kevin ready \| 65293 \| 68% - 33% row 21 : 1986 \| republican \| james a. leach \| 86834 \| democrat \| john r. whitaker \| 43985 \| 66% - 34% ] Execute this SQL based on the above table: select sum ( number of votes ) where loser in ( 'james a. leach' , 'john r. schmidhauser' )	205123.0
[ header: draw \| country \| language \| artist \| song \| english translation \| place \| points row 1 : 1 \| spain \| spanish \| serafin zubiri \| "todo esto es la \| all this is music \| 14 \| 37 row 2 : 2 \| belgium \| french \| morgane \| "nous, on veut des violon \| we want violins \| 20 \| 11 row 3 : 3 \| israel \| hebrew \| dafna dekel \| "ze rak sport" (זה רק \| it's just sport \| 6 \| 85 row 4 : 4 \| turkey \| turkish \| aylin vatankos \| "yaz bitti" \| summer is over \| 19 \| 17 row 5 : 5 \| greece \| greek \| cleopatra \| "olou tou kosmou \| the whole world's hope \| 5 \| 94 row 6 : 6 \| france \| french, antillean creole \| kali \| "monte la rivie" \| go up the river \| 8 \| 73 row 7 : 7 \| sweden \| swedish \| christer bjorkman \| "i morgon ar en annan \| tomorrow is another day \| 22 \| 9 row 8 : 8 \| portugal \| portuguese \| dina \| "amor d'agua fr \| fresh water love \| 17 \| 26 row 9 : 9 \| cyprus \| greek \| evridiki \| "teriazoume" (ταιριαζουμε) \| we hit it off \| 11 \| 57 row 10 : 10 \| malta \| english \| mary spiteri \| "little child" \| None \| 3 \| 123 row 11 : 11 \| iceland \| icelandic \| heart 2 heart \| "nei eða ja" \| no or yes? \| 7 \| 80 row 12 : 12 \| finland \| finnish \| pave maijanen \| "yamma, yamm \| None \| 23 \| 4 row 13 : 13 \| switzerland \| french \| daisy auvray \| "mister music man" \| None \| 15 \| 32 row 14 : 14 \| luxembourg \| luxembourgish \| marion welter & kontin \| "sou frai" \| so free \| 21 \| 10 row 15 : 15 \| austria \| german \| tony wegas \| "zusammen geh'n" \| go together \| 10 \| 63 row 16 : 16 \| united kingdom \| english \| michael ball \| "one step out of time" \| None \| 2 \| 139 row 17 : 17 \| ireland \| english \| linda martin \| "why me?" \| None \| 1 \| 155 row 18 : 18 \| denmark \| danish \| kenny lubcke & lotte \| "alt det som ingen ser" \| all the things that nobody sees \| 12 \| 47 row 19 : 19 \| italy \| italian \| mia martini \| "rapsodia" \| rhapsody \| 4 \| 111 row 20 : 20 \| fr yugoslavia \| serbian \| extra nena \| "ljubim te pes \| i'm kissing you with songs \| 13 \| 44 row 21 : 21 \| norway \| norwegian \| merethe trøan \| "visjoner" \| visions \| 18 \| 23 row 22 : 22 \| germany \| german \| wind \| "traume sind fur alle da" \| dreams are there for everyone \| 16 \| 27 row 23 : 23 \| netherlands \| dutch \| humphrey campbell \| "wijs me de weg" \| show me the way \| 9 \| 67 ] Execute this SQL based on the above table: select count ( * ) where english translation = 'None'	0
[ header: name \| type \| circle \| bench \| formed \| notes row 1 : st gall \| 1401: imperial city \| None \| None \| None \| 1454: associate of the swis row 2 : salm-morchingen \| wild- and rhinegraviate \| upp rhen \| None \| 1607 \| partitioned from salm-kyrburg row 3 : saxe-meissen \| duchy \| upp sax \| pr \| 1485 \| partitioned from saxe-witt row 4 : sayn-altenkirchen \| county \| None \| None \| None \| to saxe-eisenach to row 5 : schonburg (schonburg) \| 1700: hre county 1790: \| upp sax \| None \| None \| 1100s; 1st mention of schon row 6 : schwarzburg-arenstadt \| principality \| None \| None \| 1721: partitioned from schwarzburg \| 1651-1669 and 1681-1716: row 7 : schwarzburg-keula \| principality \| None \| None \| 1721: partitioned from schwarzburg \| 1740: re-annexed row 8 : schweinfurt \| 1254: free imperial town \| franc \| sw \| 1282 \| 791: 1st mention of schw row 9 : seckau \| 1218: bishopric 1218: h \| aust \| None \| 1218 \| None row 10 : solms count of solms, \| county \| None \| None \| 1129 \| 1258: partitioned into solms row 11 : solms-sachsenfeld \| county \| upp rhen \| None \| 1741 \| partitioned from solms-wilden row 12 : stettenfels \| lordship \| None \| None \| None \| None ] Execute this SQL based on the above table: select circle where formed = 1485	upp sax
[ header: week \| date \| opponent \| result \| attendance row 1 : 1 \| september 28, 1952 \| at dallas texans \| w 24-6 \| 17,499 row 2 : 2 \| october 4, 1952 \| at philadelphia eagle \| w 31-7 \| 18,648 row 3 : 3 \| october 12, 1952 \| at cleveland browns \| w 17-9 \| 51,858 row 4 : 4 \| october 19, 1952 \| chicago cardinals \| l 24-23 \| 41,182 row 5 : 5 \| october 26, 1952 \| philadelphia eagles \| l 14-10 \| 21,458 row 6 : 6 \| november 2, 1952 \| at chicago cardinals \| w 28-6 \| 27,195 row 7 : 7 \| november 9, 1952 \| san francisco 49ers \| w 23-14 \| 54,230 row 8 : 8 \| november 16, 1952 \| green bay packers \| l 17-3 \| 26,723 row 9 : 9 \| november 23, 1952 \| at washington redskins \| w 14-10 \| 21,125 row 10 : 10 \| november 30, 1952 \| at pittsburgh steelers \| l 63-7 \| 15,140 row 11 : 11 \| december 7, 1952 \| washington redskins \| l 27-17 \| 21,237 row 12 : 12 \| december 14, 1952 \| cleveland browns \| w 37-34 \| 41,610 ] Execute this SQL based on the above table: select week where opponent = 'at chicago cardinals'	6
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 1998 \| turin marathon \| turin, italy \| 3rd \| marathon \| 2:12:59 row 2 : 2003 \| lisbon marathon \| lisbon, portugal \| 1st \| marathon \| 2:15:31 row 3 : 2004 \| vienna marathon \| vienna, austria \| 3rd \| marathon \| 2:11:24 row 4 : 2004 \| berlin marathon \| berlin, germany \| 5th \| marathon \| 2:09:08 row 5 : 2005 \| world championships \| helsinki, finland \| 18th \| marathon \| 2:16:33 row 6 : 2006 \| paris marathon \| paris, france \| 4th \| marathon \| 2:08:55 row 7 : 2006 \| lisbon marathon \| lisbon, portugal \| 1st \| marathon \| 2:21:08 row 8 : 2007 \| world championships \| osaka, japan \| None \| marathon \| dns ] Execute this SQL based on the above table: select notes where event = 'marathon'	2:12:59, 2:15:31, 2:11:24, 2:09:08, 2:16:33, 2:08:55, 2:21:08, dns
[ header: month \| jan \| feb \| mar \| apr \| may \| jun \| jul \| aug \| sep \| oct \| nov \| dec \| year row 1 : record high °c (°f) \| 15.0 (59) \| 18.0 (64.4) \| 27.0 (80.6) \| 32.0 (89.6) \| 35.0 (95) \| 37.2 (99) \| 39.0 (102.2) \| 37.2 (99) \| 36.1 (97) \| 31.1 (88) \| 26.7 (80.1) \| 22.0 (71.6) \| 39.0 (102.2) row 2 : average high °c (°f) \| -0.6 (30.9) \| 0.8 (33.4) \| 5.2 (41.4) \| 12.4 (54.3) \| 19.4 (66.9) \| 25.0 (77) \| 28.0 (82.4) \| 26.7 (80.1) \| 21.8 (71.2) \| 15.1 (59.2) \| 8.0 (46.4) \| 2.4 (36.3) \| 13.7 (56.7) row 3 : daily mean °c (°f) \| -4.4 (24.1) \| -3.2 (26.2) \| 1.0 (33.8) \| 7.5 (45.5) \| 13.9 (57) \| 19.4 (66.9) \| 22.5 (72.5) \| 21.4 (70.5) \| 16.9 (62.4) \| 10.4 (50.7) \| 4.4 (39.9) \| -1 (30) \| 9.1 (48.4) row 4 : average low °c (°f) \| -8.1 (17.4) \| -7.1 (19.2) \| -3.3 (26.1) \| 2.6 (36.7) \| 8.3 (46.9) \| 13.8 (56.8) \| 16.9 (62.4) \| 16.1 (61) \| 11.9 (53.4) \| 5.7 (42.3) \| 0.7 (33.3) \| -4.3 (24.3) \| 4.4 (39.9) row 5 : precipitation mm (inches) \| 66.0 (2.598) \| 54.5 (2.146) \| 61.6 (2.425) \| 70.6 (2.78) \| 81.0 (3.189) \| 69.1 (2.72) \| 75.3 (2.965) \| 82.0 (3.228) \| 83.1 (3.272) \| 71.9 (2.831) \| 84.9 (3.343) \| 63.0 (2.48) \| 863.1 (33.98) row 6 : rainfall mm (inches) \| 31.8 (1.252) \| 33.0 (1.299) \| 44.7 (1.76) \| 68.2 (2.685) \| 81.0 (3.189) \| 69.1 (2.72) \| 75.3 (2.965) \| 82.0 (3.228) \| 83.1 (3.272) \| 71.9 (2.831) \| 79.7 (3.138) \| 43.5 (1.713) \| 763.3 (30.051) row 7 : snowfall cm (inches) \| 34.2 (13.46) \| 21.5 (8.46) \| 16.9 (6.65) \| 2.4 (0.94) \| 0.0 (0) \| 0.0 (0) \| 0.0 (0) \| 0.0 (0) \| 0.0 (0) \| 0.0 (0) \| 5.3 (2.09) \| 19.5 (7.68) \| 99.9 (39.33) row 8 : avg. precipitation days (≥ \| 12.4 \| 9.6 \| 11.0 \| 12.5 \| 11.8 \| 10.9 \| 10.1 \| 10.2 \| 10.9 \| 10.7 \| 13.9 \| 11.9 \| 135.8 ] Execute this SQL based on the above table: select month where oct = '10.7'	avg. precipitation days (≥ 0.2 mm), avg. rainy days (≥ 0.2 mm)
[ header: \| year \| name \| city \| country \| guests of honor \| size row 1 : 1st \| 1939 \| nycon i \| new york, new york \| united states \| frank r. paul \| 200 row 2 : 3rd \| 1941 \| denvention i \| denver, colorado \| united states \| robert a. hein \| 90 row 3 : 7th \| 1949 \| cinvention \| cincinnati, ohio \| united states \| lloyd a. e \| 190 row 4 : 9th \| 1951 \| nolacon i \| new orleans, louisiana \| united states \| fritz leiber \| 190 row 5 : 18th \| 1960 \| pittcon \| pittsburgh, pennsyl \| united states \| james blish \| 568 row 6 : 21st \| 1963 \| discon i \| washington, d.c \| united states \| murray leinster \| 600 row 7 : 32nd \| 1974 \| discon ii \| washington, d.c \| united states \| roger zelazny ( \| 3587 row 8 : 35th \| 1977 \| suncon \| miami beach, florida \| united states \| jack williamson (pro) \| 3,240 (4,200) row 9 : 42nd \| 1984 \| l.a.con ii \| anaheim, california \| united states \| gordon r. dickson \| 8365 row 10 : 46th \| 1988 \| nolacon ii \| new orleans, louisiana \| united states \| donald a. wollheim ( \| 5300 row 11 : 50th \| 1992 \| magicon \| orlando, florida \| united states \| jack vance (pro) vincent \| 5,319 (6,368) row 12 : 51st \| 1993 \| confrancisco \| san francisco, califor \| united states \| larry niven alicia \| 6602 row 13 : 64th \| 2006 \| l.a.con iv \| anaheim, california \| united states \| connie willis (author) james \| 5,738 (6,291) row 14 : 66th \| 2008 \| denvention 3 \| denver, colorado \| united states \| lois mcmaster bujold ( \| 3752 ] Execute this SQL based on the above table: select count ( * ) where = '50th'	1
[ header: position \| player \| free agency tag \| date signed \| 2013 team row 1 : qb \| josh mccown \| ufa \| march 29 \| chicago bears row 2 : rb \| kahlil bell \| ufa \| august 11 \| new york jets row 3 : og \| lance louis \| ufa \| march 27 \| miami dolphins row 4 : og \| chris spencer \| ufa \| april 1 \| tennessee titans row 5 : og \| chilo rachal \| ufa \| april 10 \| arizona cardinals row 6 : ot \| jonathan scott \| ufa \| march 25 \| chicago bears row 7 : de \| israel idonije \| ufa \| june 25 \| detroit lions row 8 : dt \| amobi okoye \| ufa \| None \| None row 9 : lb \| geno hayes \| ufa \| march 13 \| jacksonville jaguars row 10 : lb \| nick roach \| ufa \| march 15 \| oakland raiders row 11 : cb \| zack bowman \| ufa \| march 15 \| chicago bears row 12 : cb \| d. j. moore \| ufa \| march 19 \| carolina panthers row 13 : s \| troy nolan \| ufa \| july 29 \| tampa bay buccaneers row 14 : k \| olindo mare \| ufa \| None \| None ] Execute this SQL based on the above table: select count ( * ) where position = 'k'	1
[ 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 film where id = ( select id where film = 'mr. peabody & sherman' ) + 1	300: rise of an empire
[ header: tie no \| home team \| score \| away team \| attendance row 1 : 1 \| ifk vasteras (d2) \| 3-2 \| ik sleipner (d \| 875 row 2 : 2 \| kramfors if (n) \| 2-4 (aet) \| bk kenty (d3) \| 2808 row 3 : 3 \| reymersholms ik \| 5-2 \| atvidabergs ff (d \| 1504 row 4 : 4 \| wifsta/ostrands if \| 4-3 \| ludvika ffi \| 974 row 5 : 5 \| raa if (d3) \| 3-2 \| sandvikens if (d \| 2116 row 6 : 6 \| sandvikens aik \| 2-3 (aet) \| tidaholms g \| 822 row 7 : 7 \| karlstads bik (d \| 2-5 \| if friska viljor (n) \| 1550 row 8 : 8 \| sandviks ik (n \| 2-3 \| surahammars if (d2) \| None ] Execute this SQL based on the above table: select count ( home team ) where attendance = 0	0
[ header: year \| champion \| city \| llws \| record row 1 : 1957 \| industrial ll \| monterrey, nuevo leon \| champions \| 2-0 row 2 : 1958 \| national league of gadsden ll \| gadsden, alabama \| third place \| 2-1 row 3 : 1959 \| national league of gadsden ll \| gadsden, alabama \| first round \| 0-1 row 4 : 1961 \| el campo ll \| el campo, texas \| runner-up \| 2-1 row 5 : 1962 \| val verde county ll \| del rio, texa \| fifth place \| 2-1 row 6 : 1963 \| north houston ll \| north houston, texas \| fifth place \| 1-1 row 7 : 1966 \| westbury american ll \| houston, texas \| champions \| 3-0 row 8 : 1967 \| west tampa ll \| tampa, florida \| fifth place (tie) \| 1-1 row 9 : 1968 \| tuckahoe ll \| richmond, virginia \| runner-up \| 2-1 row 10 : 1969 \| west tampa ll \| tampa, florida \| third place (tie) \| 1-1 row 11 : 1970 \| national optimist ll \| nashville, tennessee \| seventh place \| 1-2 row 12 : 1971 \| gardenside ll \| lexington, kentucky \| eighth place \| 0-3 row 13 : 1972 \| national ll \| vienna, virginia \| seventh place \| 1-2 row 14 : 1973 \| belmont heights ll \| tampa, florida \| third place \| 2-1 row 15 : 1974 \| american ll \| jackson, tennessee \| fifth place \| 2-1 row 16 : 1975 \| belmont heights ll \| tampa, florida \| runner-up \| 1-1 row 17 : 1976 \| tuckahoe american ll \| richmond, virginia \| third place (tie) \| 1-1 row 18 : 1979 \| burns park ll \| north little rock, arkansas \| third place \| 2-1 row 19 : 1981 \| belmont heights ll \| tampa, florida \| runner-up \| 2-1 row 20 : 1983 \| east marietta national ll \| marietta, georgia \| champions \| 3-0 row 21 : 1984 \| national ll \| altamonte, florida \| runner-up \| 2-1 row 22 : 1985 \| american ll \| morristown, tennessee \| third place \| 2-1 row 23 : 1986 \| american ll \| sarasota, florid \| third place \| 2-1 row 24 : 1987 \| american ll \| morristown, tennessee \| seventh place (tie) \| 0-2 row 25 : 1988 \| northwest 45 ll \| spring, texas \| third place \| 2-1 row 26 : 1989 \| northside ll \| tampa, florida \| fifth place \| 2-1 row 27 : 1990 \| cottage hill ll \| mobile, alabama \| fifth place (tie) \| 1-1 row 28 : 1991 \| national ll \| dunedin, florida \| sixth place \| 1-2 row 29 : 1992 \| south lake charles ll \| lake charles, louisiana \| group stage \| 1-2 row 30 : 1993 \| tuckahoe american ll \| richmond, virginia \| group stage \| 0-3 row 31 : 1994 \| central springfield ll \| springfield, virginia \| third place (tie) \| 2-2 row 32 : 1995 \| northwest 45 ll \| spring, texas \| runner-up \| 3-2 row 33 : 1996 \| r.l. turner ll \| panama city, florida \| third place (tie) \| 3-1 ] Execute this SQL based on the above table: select sum ( year ) where record != '2-1'	39566
[ header: date \| constituency \| gain \| loss \| note row 1 : 30 may 1963 \| dublin north-east \| fine gael \| fine gael \| paddy belton (fg) holds the row 2 : 27 october 1963 \| dublin south-east \| labour party \| national progressive democrats \| noel browne (npd) row 3 : 27 october 1963 \| roscommon \| labour party \| national progressive democrats \| jack mcquillan (n row 4 : 27 october 1963 \| dublin county \| labour party \| independent \| sean dunne (ind) row 5 : 19 february 1964 \| cork borough \| fianna fail \| fianna fail \| sheila galvin (ff) wins row 6 : 19 february 1964 \| kildare \| fianna fail \| labour party \| terence boylan (ff) wins row 7 : 8 july 1964 \| roscommon \| fine gael \| fine gael \| joan burke (fg) holds row 8 : 3 december 1964 \| galway east \| fine gael \| clann na talmhan \| john donnellan (fg) wins row 9 : 10 march 1965 \| cork mid \| labour party \| labour party \| eileen desmond (lab) holds ] Execute this SQL based on the above table: select count ( gain )	9
[ 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 car order by no. asc limit 1	nissan skyline r32 gt-r
[ header: \| player \| nationality \| drafted by \| year \| round \| overall row 1 : w \| harald luckner \| sweden \| new york islanders \| 1977 \| 7th \| 121st row 2 : d \| bjorn olsson \| sweden \| st. louis blues \| 1977 \| 9th \| 147th row 3 : c \| bengt-ake gustafs \| sweden \| washington capitals \| 1978 \| 4th \| 55th row 4 : f \| dan hermansson \| sweden \| st. louis blues \| 1978 \| 10th \| 175th row 5 : w \| hakan loob \| sweden \| calgary flames \| 1980 \| 9th \| 181st row 6 : w \| jan ingman \| sweden \| montreal canadiens \| 1981 \| 1st \| 19th row 7 : lw \| magnus roupe \| sweden \| philadelphia flyers \| 1982 \| 9th \| 182nd row 8 : c \| thomas rundkvist \| sweden \| montreal canadiens \| 1983 \| 10th \| 198th row 9 : rw \| lars karlsson \| sweden \| detroit red wings \| 1984 \| 8th \| 152nd row 10 : d \| fredrik olausson \| sweden \| winnipeg jets \| 1985 \| 4th \| 81st row 11 : d \| mattias olsson \| sweden \| los angeles kings \| 1991 \| 10th \| 218th row 12 : c \| mathias johansson \| sweden \| calgary flames \| 1992 \| 3rd \| 54th row 13 : rw \| jonas hoglund \| sweden \| calgary flames \| 1992 \| 10th \| 222nd row 14 : d \| anders myrvold \| norway \| quebec nordiques \| 1993 \| 5th \| 127th row 15 : d \| henrik rehnberg \| sweden \| new jersey devils \| 1995 \| 4th \| 96th row 16 : rw \| kristian huselius \| sweden \| florida panthers \| 1997 \| 2nd \| 47th row 17 : lw \| peter nordstrom \| sweden \| boston bruins \| 1998 \| 3rd \| 78th row 18 : d \| jonas frogren \| sweden \| calgary flames \| 1998 \| 8th \| 206th row 19 : d \| pelle prestberg \| sweden \| mighty ducks of anaheim \| 1998 \| 9th \| 233rd row 20 : c \| tore vikingstad \| norway \| st. louis blues \| 1999 \| 6th \| 180th row 21 : lw \| andreas jamtin \| sweden \| detroit red wings \| 2001 \| 5th \| 157th row 22 : d \| robin jonsson \| sweden \| st. louis blues \| 2002 \| 4th \| 120th row 23 : d \| pierre johnsson \| sweden \| calgary flames \| 2002 \| 7th \| 207th row 24 : d \| per johnsson \| sweden \| calgary flames \| 2006 \| 7th \| 209th row 25 : c \| marcus johansson \| sweden \| washington capitals \| 2009 \| 1st \| 24th row 26 : f \| henrik bjorklund \| sweden \| calgary flames \| 2009 \| 4th \| 111th row 27 : g \| johan gustafsson \| sweden \| minnesota wild \| 2010 \| 6th \| 159th ] Execute this SQL based on the above table: select group by having count ( * ) >= 0	c, d, f, g, lw, rw, w
[ header: draft order round \| draft order choice \| player \| position \| height \| weight \| college row 1 : 1 \| 1 \| matthew stafford \| qb \| 6 ft 2 in (1.88 \| 223 lb (101 kg) \| georgia row 2 : 1 \| 20 \| brandon pettigrew \| te \| 6 ft 5 in (1.96 \| 263 lb (119 kg) \| oklahoma state row 3 : 2 \| 33 \| louis delmas \| s \| 5 ft 11 in (1.80 \| 202 lb (92 kg) \| western michigan row 4 : 3 \| 76 \| deandre levy \| olb \| 6 ft 2 in (1.88 \| 236 lb (107 kg) \| wisconsin row 5 : 3 \| 82 \| derrick williams \| wr \| 5 ft 11 in (1.80 \| 197 lb (89 kg) \| penn state row 6 : 4 \| 115 \| sammie lee hill \| dt \| 6 ft 4 in (1.93 \| 329 lb (149 kg) \| stillman row 7 : 6 \| 192 \| aaron brown \| rb \| 6 ft 1 in (1.85 \| 196 lb (89 kg) \| texas christian row 8 : 7 \| 228 \| lydon murtha \| ot \| 6 ft 7 in (2.01 \| 315 lb (143 kg) \| nebraska row 9 : 7 \| 235 \| zack follett \| olb \| 6 ft 1 in (1.85 \| 238 lb (108 kg) \| california row 10 : 7 \| 255 \| dan gronkowski \| te \| 6 ft 6 in (1.98 \| 255 lb (116 kg) \| maryland ] Execute this SQL based on the above table: select count ( college ) where draft order round >= 30	0
[ header: year \| order \| quantity \| ger nos. row 1 : 1893 \| n31 \| 1 \| 999 row 2 : 1893 \| h33 \| 10 \| 979-988 row 3 : 1894 \| l33 \| 10 \| 989-998 row 4 : 1894 \| e34 \| 10 \| 969-978 row 5 : 1896 \| n37 \| 10 \| 959-968 row 6 : 1897 \| h40 \| 10 \| 949-958 row 7 : 1897 \| o41 \| 10 \| 602-608, 946-948 row 8 : 1898 \| g42 \| 10 \| 542-551 row 9 : 1898 \| k43 \| 10 \| 562-571 ] Execute this SQL based on the above table: select order where quantity < 1335	n31, h33, l33, e34, n37, h40, o41, g42, k43
[ header: date \| location \| venue \| opening act \| supporting row 1 : august 11, 1993 \| calgary, alberta, canada \| max bell arena \| cadillac tramps \| None row 2 : august 12, 1993 \| edmonton, alberta, \| convention center \| cadillac tramps \| None row 3 : august 14, 1993 \| gimli, manitob \| gimli motorsport park \| None \| None row 4 : august 17, 1993 \| hull, quebec, canada \| robert guertin arena \| doughboys \| None row 5 : august 18, 1993 \| toronto, ontario, canada \| canadian national exhibition (cne) \| None \| neil young row 6 : august 19, 1993 \| montreal, quebec, canada \| verdun auditorium \| doughboys \| None row 7 : september 2, 1993 \| los angeles, californi \| viper room \| the darling buds \| None row 8 : september 4, 1993 \| vancouver, british columb \| bc place stadium \| None \| neil young row 9 : september 4, 1993 \| seattle, washington \| rendezvous club \| None \| None row 10 : september 5, 1993 \| george, washington \| the gorge amphitheatre \| blind melon \| neil young row 11 : september 6, 1993 \| portland, oregon \| portland meadows \| blind melon \| neil young ] Execute this SQL based on the above table: select opening act where opening act in ( 'doughboys' , 'cadillac tramps' ) and date = 'august 19, 1993'	doughboys
[ header: res. \| record \| opponent \| method \| event \| date \| round \| time \| location \| notes row 1 : win \| 12-3 \| mike hayes \| ko (punch) \| ksw 25: khali \| december 7, 2013 \| 1 \| 1:12 \| wrocław, poland \| None row 2 : win \| 11-3 \| nick moghadden \| tko (punches) \| bellator 99 \| september 13, 2013 \| 1 \| 3:22 \| temecula, california \| bellator debut row 3 : loss \| 10-3 \| guto inocente \| decision (unanimous) \| strikeforce: barnett vs. cor \| may 19, 2012 \| 3 \| 5:00 \| san jose, californ \| light heavyweight debut row 4 : win \| 10-2 \| brett albee \| tko (strikes) \| strikeforce: diaz vs. \| april 9, 2011 \| 1 \| 1:46 \| san diego, californ \| None row 5 : loss \| 9-2 \| lavar johnson \| ko (punches) \| strikeforce challengers: bowling v \| october 22, 2010 \| 1 \| 2:17 \| fresno, californ \| None row 6 : win \| 9-1 \| eddie sapp \| submission (rear-naked choke) \| native fighting championship 6 \| august 14, 2010 \| 1 \| 2:01 \| campo, california, \| None row 7 : loss \| 8-1 \| cody goodale \| decision (unanimous) \| gladiator challenge: maximum force \| april 25, 2010 \| 3 \| 5:00 \| san jacinto, cali \| None row 8 : win \| 8-0 \| ovince st. preux \| tko (punches) \| top combat championship 1 \| september 26, 2009 \| 2 \| 0:46 \| san juan, puerto \| None row 9 : win \| 7-0 \| william richey \| decision (unanimous) \| called out mma 1 \| august 15, 2009 \| 3 \| 5:00 \| ontario, california \| None row 10 : win \| 6-0 \| buckley acosta \| tko (punches) \| gladiator challenge: venom \| april 23, 2009 \| 1 \| 2:59 \| pauma valley, californi \| None row 11 : win \| 5-0 \| dave diaz \| submission \| gc 85: cross fire \| october 25, 2008 \| 1 \| 1:41 \| san diego, californ \| None row 12 : win \| 4-0 \| abraham ramirez \| tko (punches) \| apocalypse fights \| august 7, 2008 \| 1 \| None \| None \| None row 13 : win \| 3-0 \| ty montgomery \| tko (punches) \| galaxy productions \| august 24, 2007 \| 1 \| 0:41 \| california, united states \| None row 14 : win \| 2-0 \| tom hubert \| tko (doctor stoppage \| total combat 10 \| october 15, 2005 \| 2 \| 1:54 \| san diego, californ \| None row 15 : win \| 1-0 \| denis hall \| tko (punches) \| cff: cobra classic 9 \| april 16, 2003 \| 1 \| 0:58 \| anza, california, \| None ] Execute this SQL based on the above table: select date where event = 'top combat championship 1'	september 26, 2009
[ header: year \| site \| winning team \| losing team \| series row 1 : 1904 \| manhattan \| kansas 41 \| kansas state 4 \| ku 3-0 row 2 : 1905 \| lawrence \| kansas 28 \| kansas state 0 \| ku 4-0 row 3 : 1906 \| manhattan \| kansas state 6 \| kansas 4 \| ku 4-1 row 4 : 1912 \| lawrence \| kansas 19 \| kansas state 6 \| ku 9-1 row 5 : 1914 \| lawrence \| kansas 27 \| kansas state 0 \| ku 11-1 row 6 : 1922 \| manhattan \| kansas 7 \| kansas state 7 \| ku 17-1-2 row 7 : 1923 \| lawrence \| kansas 0 \| kansas state 0 \| ku 17-1-3 row 8 : 1926 \| manhattan \| kansas state 27 \| kansas 0 \| ku 17-4-3 row 9 : 1927 \| lawrence \| kansas state 13 \| kansas 2 \| ku 17-5-3 row 10 : 1929 \| lawrence \| kansas state 6 \| kansas 0 \| ku 18-6-3 row 11 : 1933 \| lawrence \| kansas state 6 \| kansas 0 \| ku 20-8-3 row 12 : 1934 \| manhattan \| kansas state 13 \| kansas 0 \| ku 20-9-3 row 13 : 1935 \| lawrence \| kansas 9 \| kansas state 2 \| ku 21-9-3 row 14 : 1936 \| manhattan \| kansas state 26 \| kansas 6 \| ku 21-10-3 row 15 : 1937 \| lawrence \| kansas state 7 \| kansas 0 \| ku 21-11-3 row 16 : 1938 \| manhattan \| kansas 27 \| kansas state 7 \| ku 22-11-3 row 17 : 1940 \| manhattan \| kansas state 20 \| kansas 0 \| ku 22-13-3 row 18 : 1943 \| lawrence \| kansas 25 \| kansas state 2 \| ku 25-13-3 row 19 : 1944 \| manhattan \| kansas state 24 \| kansas 18 \| ku 25-14-3 row 20 : 1945 \| lawrence \| kansas 27 \| kansas state 0 \| ku 26-14-3 row 21 : 1951 \| lawrence \| kansas 33 \| kansas state 14 \| ku 32-14-3 row 22 : 1952 \| manhattan \| (#9) kansas 26 \| kansas state 6 \| ku 33-14-3 row 23 : 1953 \| lawrence \| kansas state 7 \| kansas 0 \| ku 33-15-3 row 24 : 1954 \| manhattan \| kansas state 28 \| kansas 6 \| ku 33-16-3 row 25 : 1958 \| manhattan \| kansas 21 \| kansas state 12 \| ku 36-17-3 row 26 : 1960 \| manhattan \| kansas 41 \| kansas state 0 \| ku 38-17-3 row 27 : 1963 \| lawrence \| kansas 34 \| kansas state 0 \| ku 41-17-3 row 28 : 1966 \| manhattan \| kansas 3 \| kansas state 3 \| ku 43-17-4 row 29 : 1967 \| lawrence \| kansas 17 \| kansas state 16 \| ku 44-17-4 ] Execute this SQL based on the above table: select count ( winning team ) where year >= 1954	6
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 2002 \| world junior championships \| kingston, jamaica \| 17th (q) \| shot put (6 kg) \| 17.77 m row 2 : 2003 \| european junior championships \| tampere, finland \| 2nd \| shot put (6 kg) \| 20.10 m row 3 : 2005 \| european u23 championships \| erfurt, germany \| 1st \| shot put \| 20.44 m row 4 : 2005 \| world championships \| helsinki, finland \| 15th (q) \| shot put \| 19.56 m row 5 : 2005 \| universiade \| izmir, turkey \| 3rd \| shot put \| 19.40 m row 6 : 2006 \| world indoor championships \| moscow, russia \| 8th \| shot put \| 19.93 m row 7 : 2006 \| european championships \| gothenburg, sweden \| 11th \| shot put \| 19.44 m row 8 : 2007 \| european indoor championships \| birmingham, united kingdom \| 11th (q) \| shot put \| 19.12 m row 9 : 2007 \| world championships \| osaka, japan \| 13th (q) \| shot put \| 19.91 m row 10 : 2008 \| olympic games \| beijing, china \| 18th (q) \| shot put \| 19.87 m row 11 : 2009 \| european indoor championships \| turin, italy \| 4th \| shot put \| 20.14 m ] Execute this SQL based on the above table: select position where id = ( select id where position = '13th (q)' ) - 1	11th (q)
[ header: year \| w \| l \| t \| finish \| coach row 1 : 1910 \| 11 \| 0 \| 1 \| None \| earl ball row 2 : 1911 \| 7 \| 1 \| 2 \| None \| earl ball row 3 : 1912 \| 6 \| 3 \| 2 \| None \| earl ball row 4 : 1913 \| 8 \| 2 \| 0 \| indiana state champs \| earl ball row 5 : 1914 \| 5 \| 3 \| 1 \| None \| earl ball row 6 : 1915 \| 8 \| 2 \| 1 \| None \| earl ball row 7 : 1916 \| 2 \| 7 \| 1 \| None \| f.w. smith row 8 : 1917 \| 2 \| 2 \| 0 \| None \| ky foster, ralph daw row 9 : 1918 \| None \| None \| None \| None \| None row 10 : 1919 \| 4 \| 1 \| 1 \| None \| cooney checkaye row 11 : 1920 \| 0 \| 1 \| 0 \| 14th apfa \| ken huffine row 12 : 1921 \| 0 \| 2 \| 0 \| 18th apfa \| cooney checkaye row 13 : 1922 \| 5 \| 1 \| 3 \| None \| cooney checkaye row 14 : 1923 \| 3 \| 4 \| 0 \| None \| cooney checkaye row 15 : 1924 \| 3 \| 3 \| 0 \| None \| cooney checkaye row 16 : 1925 \| 6 \| 2 \| 3 \| None \| cooney checkaye row 17 : 1926 \| 0 \| 1 \| 0 \| incomplete \| None ] Execute this SQL based on the above table: select avg ( finish )	8.0
[ header: rd \| home team \| score \| away team \| result (w/d/l) \| attendance row 1 : 1 \| harlequins rl \| 28-47 \| wigan warriors \| l \| 8041 row 2 : 2 \| hull \| 6-24 \| harlequins rl \| w \| 13313 row 3 : 3 \| harlequins rl \| 34-18 \| wakefield trinity wildcats \| w \| 3176 row 4 : 4 \| castleford tigers \| 16-22 \| harlequins rl \| w \| 6268 row 5 : 5 \| harlequins rl \| 24-0 \| huddersfield giants \| w \| 3284 row 6 : 6 \| None \| None \| None \| None \| None row 7 : 7 \| None \| None \| None \| None \| None row 8 : ccc4 \| None \| None \| None \| None \| None row 9 : 8 \| None \| None \| None \| None \| None row 10 : 9 \| None \| None \| None \| None \| None row 11 : 10 \| None \| None \| None \| None \| None row 12 : 11 \| None \| None \| None \| None \| None row 13 : 12 \| None \| None \| None \| None \| None row 14 : 13 (a) \| None \| None \| None \| None \| None row 15 : 14 \| None \| None \| None \| None \| None row 16 : 15 \| None \| None \| None \| None \| None row 17 : 16 \| None \| None \| None \| None \| None row 18 : 17 \| None \| None \| None \| None \| None row 19 : 18 \| None \| None \| None \| None \| None row 20 : 19 \| None \| None \| None \| None \| None row 21 : 20 \| None \| None \| None \| None \| None row 22 : 21 \| None \| None \| None \| None \| None row 23 : 22 \| None \| None \| None \| None \| None row 24 : 23 \| None \| None \| None \| None \| None row 25 : 24 \| None \| None \| None \| None \| None row 26 : 25 \| None \| None \| None \| None \| None row 27 : 26 \| None \| None \| None \| None \| None row 28 : 27 \| None \| None \| None \| None \| None row 29 : esl po1 \| None \| None \| None \| None \| None row 30 : esl po2 \| None \| None \| None \| None \| None row 31 : esl po3 \| None \| None \| None \| None \| None row 32 : esl gf \| None \| None \| None \| None \| None ] Execute this SQL based on the above table: select count ( attendance ) where attendance >= 460	5
[ header: name \| pos. \| caps \| goals \| club row 1 : olle ahlund \| mf \| 6 \| 0 \| degerfors if row 2 : henry andersson \| gk \| 2 \| 0 \| ifk goteborg row 3 : bertil backvall \| fw \| 1 \| 0 \| hammarby if stockholm row 4 : henry "garvis" carls \| fw \| 5 \| 4 \| aik solna row 5 : arvid "emma" eman \| mf \| 5 \| 0 \| if elfsborg boras row 6 : rune "killing" emanu \| mf/df \| 3 \| 0 \| ifk goteborg row 7 : karl-erik grahn \| mf \| 4 \| 1 \| if elfsborg boras row 8 : gunnar "il professore" gren \| fw \| 6 \| 9 \| ifk goteborg row 9 : erik "mulle" holm \| fw \| 2 \| 1 \| ifk norrkoping row 10 : oskar "masse" hol \| df \| 2 \| 0 \| ifk norrkoping row 11 : ove karlsson-wid \| df \| 1 \| 0 \| aik solna row 12 : borje leander \| df/mf \| 4 \| 0 \| aik solna row 13 : gosta malm \| df \| 2 \| 0 \| ifk norrkoping row 14 : malte "svarta bli \| fw \| 1 \| 0 \| halsingborgs if row 15 : harry nilsson \| df \| 6 \| 0 \| aik solna row 16 : stellan nilsson \| fw \| 2 \| 1 \| malmo ff row 17 : bertil nordahl \| df/mf \| 2 \| 0 \| degerfors if row 18 : gunnar nordahl \| fw \| 5 \| 6 \| ifk norrkoping row 19 : knut nordahl \| fw \| 2 \| 0 \| ifk norrkoping row 20 : arne nyberg \| fw \| 6 \| 4 \| ifk goteborg row 21 : stig nystrom \| fw \| 1 \| 1 \| djurgardens if stockhol row 22 : vincent persson \| fw \| 1 \| 1 \| degerfors if row 23 : birger "bian" rosengren \| mf \| 1 \| 0 \| ifk norrkoping row 24 : carl-erik "pigge" \| fw \| 1 \| 0 \| malmo ff row 25 : carl "timpa" simons \| fw \| 1 \| 0 \| jonkopings sodra if row 26 : gustav "gurra" s \| gk \| 6 \| 0 \| aik solna row 27 : borje tapper \| fw \| 1 \| 5 \| malmo ff row 28 : lennart "skinnet" \| mf \| 1 \| 0 \| ifk norrkoping ] Execute this SQL based on the above table: select ( select caps where club = 'aik solna' ) - ( select caps where club = 'malmo ff' )	3.0
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 13 june 2013 \| zhejiang dragon sports centre, \| russia \| 1 - 0 \| 5 - 1 \| friendly row 2 : 2 \| 13 june 2013 \| zhejiang dragon sports centre, \| russia \| 3 - 0 \| 5 - 1 \| friendly row 3 : 3 \| 14 june 2013 \| zhejiang dragon sports centre, \| netherlands \| None \| 4 - 3 \| friendly row 4 : 4 \| 14 june 2013 \| zhejiang dragon sports centre, \| netherlands \| None \| 4 - 3 \| friendly row 5 : 5 \| 15 june 2013 \| zhejiang dragon sports centre, \| china \| None \| 5 - 2 \| friendly row 6 : 6 \| 1 july 2013 \| songdo global university campus, incheon \| iraq \| 3 - 1 \| 12 - 3 \| 2013 asian indoor-martial arts games row 7 : 7 \| 1 july 2013 \| songdo global university campus, incheon \| iraq \| 4 - 1 \| 12 - 3 \| 2013 asian indoor-martial arts games row 8 : 8 \| 6 july 2013 \| songdo global university campus, incheon \| japan \| 5 - 2 \| 5 - 2 \| 2013 asian indoor-martial arts games row 9 : None \| 19 october 2013 \| sao keatano, \| bank \| 3 - 0 \| 3 - 0 \| unofficial friendly row 10 : 9 \| 21 october 2013 \| maringa's futsal stadium, \| guatemala \| None \| 7 - 0 \| friendly row 11 : 10 \| 23 october 2013 \| ginasio chico neto, \| argentina \| 2 - 1 \| 2 - 2 \| 2013 grand prix de futsal ] Execute this SQL based on the above table: select competition where # >= 3	friendly, friendly, friendly, 2013 asian indoor-martial arts games, 2013 asian indoor-martial arts games, 2013 asian indoor-martial arts games, friendly, 2013 grand prix de futsal
[ header: city \| country (noc) \| round 1 \| run-off \| round 3 \| round 4 \| round 5 row 1 : athens \| greece \| 32 \| None \| 38 \| 52 \| 66 row 2 : rome \| italy \| 23 \| None \| 28 \| 35 \| 41 row 3 : cape town \| south africa \| 16 \| 62 \| 22 \| 20 \| None row 4 : stockholm \| sweden \| 20 \| None \| 19 \| None \| None row 5 : buenos aires \| argentina \| 16 \| 44 \| None \| None \| None ] Execute this SQL based on the above table: select round 3 where id = ( select id where round 3 = 19 ) - 1	22
[ header: station \| distance from wellington \| height above sea level (m) \| opened \| closed \| notes row 1 : tawa \| 13.58 km \| 25.6m \| 1937 \| open \| tawa flat (closed 1937) was row 2 : kenepuru \| 16.16 km \| 15m \| 1940 \| open \| None row 3 : paremata \| 21.7 km \| 2.7m \| 1885 \| open \| None row 4 : plimmerton \| 24.4 km \| 5.8m \| 1885 \| open \| None row 5 : waikanae \| 55.31 km \| 31m \| 1886 \| open \| None row 6 : ohau \| 84.95 km \| 30.7m \| 1886 \| c.1970 \| None row 7 : linton \| 124.19 km \| 18.3m \| 1886 \| closed \| None row 8 : awapuni \| 132 km \| 24.7m \| 1876 \| 1965 \| None row 9 : palmerston north \| 136.03 km \| 28m \| 1963 \| open \| None row 10 : bunnythorpe \| 144.47 km \| 55.2m \| 1876 \| closed \| None row 11 : halcombe \| 165.76 km \| 118m \| 1878 \| closed \| None row 12 : greatford \| 175.67 km \| 104.5m \| 1878 \| c.1970 \| None row 13 : cliff road \| 183.58 km \| 159.7m \| 1888 \| 1966 \| None row 14 : ohingaiti \| 222.14 km \| 279m \| 1902 \| 1975 \| None row 15 : ohotu \| 247.08 km \| 395.6m \| 1904 \| closed \| None row 16 : ngaurukehu \| 270.25 km \| 640m \| 1908 \| closed \| None row 17 : turangarere \| 274.5 km \| 702m \| 1912 \| 1972 \| None row 18 : tangiwai \| 299.49 km \| 699.5m \| 1909 \| closed \| nearest station to the tangiwai row 19 : rangataua \| 312.79 km \| 670m \| 1909 \| closed \| None row 20 : raurimu \| 358.31 km \| 589m \| 1908 \| closed \| None row 21 : owhango \| 371.89 km \| 456.6m \| 1908 \| closed \| None row 22 : taumarunui \| 397.75 km \| 171m \| 1903 \| 2012 \| None row 23 : taringamotu \| 402 km \| 172.5m \| 1903 \| 1971 \| None row 24 : okahukura \| 408.54 \| 178.3m \| 1903 \| closed \| okahukura junction in working time row 25 : waiteti \| 470.07 km \| 135m \| 1889 \| closed \| None row 26 : te kumi \| 478.56 km \| 49.6m \| 1887 \| closed \| None row 27 : otorohonga \| 494.41 km \| 37m \| 1887 \| 2012 \| reopened summer 2012 row 28 : te awamutu \| 517.02 km \| 50m \| 1880 \| 2005 \| new zealand dairy board (now font row 29 : ngaroto \| 519.92 km \| 56m \| 1880 \| 1954 \| None row 30 : ohinewai \| 582.04 km \| 10m \| 1877 \| c1968 \| None row 31 : paerata \| 633.29 km \| 45.1m \| 1875 \| 1980 \| paerata junction from 1917 row 32 : takanini \| 650.64 km \| 15.2m \| 1875 \| open \| None row 33 : puhinui \| 658.92 km \| 19.8m \| 1904 \| open \| None row 34 : middlemore \| 662.28 km \| 8.8m \| 1904 \| open \| None ] Execute this SQL based on the above table: select station where station in ( 'takanini' , 'puhinui' ) order by height above sea level (m) desc limit 1	puhinui
[ header: no. \| train no. \| origin \| destination \| train name row 1 : 4 \| 12611/2612 \| chennai \| h.nizamudin \| garib rath row 2 : 6 \| 11042/11041 \| chennai \| mumbai \| mumbai express row 3 : 7 \| 12842/12841 \| chennai \| howrah \| coromandel express row 4 : 8 \| 12840/12839 \| chennai \| howrah \| howrah mail row 5 : 9 \| 12679/12680 \| chennai \| coimbatore \| intercity express row 6 : 10 \| 12673/12674 \| chennai \| coimbatore \| cheran express row 7 : 11 \| 12675/12676 \| chennai \| coimbatore \| kovai express row 8 : 15 \| 16627/16628 \| chennai \| mangalore central \| west coast express row 9 : 16 \| 12601/12602 \| chennai \| mangalore central \| mangalore mail row 10 : 17 \| 12685/12686 \| chennai \| mangalore central \| superfast express row 11 : 18 \| 12656/12655 \| chennai \| ahmedabad \| navjivan express row 12 : 19 \| 12669/12670 \| chennai \| chhapra \| ganga kaveri express row 13 : 21 \| 16053/16054 \| chennai \| tirupati \| tirupati express row 14 : 23 \| 12759/12760 \| chennai \| hyderabad \| charminar express row 15 : 24 \| 12603/12604 \| chennai \| hyderabad \| hyderabad express row 16 : 25 \| 16669/16670 \| chennai \| erode \| yercaud express row 17 : 26 \| 12639/12640 \| chennai \| bangalore \| brindavan express row 18 : 29 \| 12027/12028 \| chennai \| bangalore \| shatabdi express row 19 : 30 \| 12609/12610 \| chennai \| bangalore \| bangalore express row 20 : 31 \| 12691/12692 \| chennai \| satya sai \| satya sai row 21 : 32 \| 12007/12008 \| chennai \| mysore \| shatabdi express row 22 : 35 \| 12623/12624 \| chennai \| trivandrum \| trivandrum mail row 23 : 36 \| 12695/12696 \| chennai \| trivandrum \| superfast express row 24 : 38 \| 16089/16090 \| chennai \| jolarpet junction \| yelagiri express row 25 : 39 \| 16031/16032 \| chennai \| jammutawi \| andaman express row 26 : 40 \| 12687/12688 \| chennai \| dehradun \| dehradun express row 27 : 41 \| 12712/12711 \| chennai \| vijayawada \| pinakini express row 28 : 42 \| 12077/12078 \| chennai \| vijayawada \| jan shatabdi express row 29 : 45 \| 16093/16094 \| chennai \| lucknow \| lucknow express row 30 : 46 \| 17311/17312 \| chennai \| vasco da gama, goa \| vasco express row 31 : 47 \| 17313/7314 \| chennai \| hubli \| hubli express row 32 : 49 \| 12291/12292 \| chennai \| yeswantpur \| yeswantpur express ] Execute this SQL based on the above table: select count ( * ) where origin = 'chennai'	32
[ 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 = 437	0
[ header: # \| date \| film \| gross \| top ten places row 1 : 1 \| january 5, 2014 \| frozen \| $2,441,278 \| paranormal activity: the marked ones (#2) row 2 : 2 \| january 12, 2014 \| frozen \| $1,193,153 \| the wolf of wall street (#3) row 3 : 3 \| january 19, 2014 \| ¿que le dijiste a \| $1,607,603 \| jack ryan: shadow recruit (# row 4 : 4 \| january 26, 2014 \| i, frankenstein \| $2,017,410 \| grudge match (#10) row 5 : 5 \| february 2, 2014 \| 47 ronin \| $1,916,620 \| devil's due (#2) row 6 : 6 \| february 9, 2014 \| the lego movie \| $3,823,198 \| the legend of hercules (#4) row 7 : 7 \| february 16, 2014 \| casese quien pueda \| $3,287,643 \| robocop (#2), the monuments row 8 : 8 \| february 23, 2014 \| casese quien pueda \| $2,228,705 \| pompeii (#3), 12 years row 9 : 9 \| march 2, 2014 \| mr. peabody & she \| $2,687,778 \| fachon models (#6), august: row 10 : 10 \| march 9, 2014 \| 300: rise of an empire \| $5,468,513 \| homefront (#8), zip & row 11 : 11 \| march 16, 2014 \| 300: rise of an empire \| $2,891,351 \| el crimen del cacaro row 12 : 12 \| march 23, 2014 \| noah \| $5,743,388 \| muppets most wanted (#3) row 13 : 13 \| march 30, 2014 \| captain america: the winter soldier \| $8,596,889 \| None ] Execute this SQL based on the above table: select date where id = ( select id where date = 'february 23, 2014' ) - 1	february 16, 2014
[ header: no. \| song \| singers \| length (m:ss) row 1 : 1 \| kalluri padam \| shankar mahadevan \| 01:32 row 2 : 2 \| iru kangal \| balram, gopika poornima \| 04:49 row 3 : 3 \| sithanna vasal \| s. p. balasubram \| 04:53 row 4 : 4 \| thozha thozha \| karthik \| 03:57 row 5 : 5 \| vidinjakka kannalam \| chitra sivaraman \| 04:20 row 6 : 6 \| mullai poo \| spb charan, ven \| 04:33 row 7 : 7 \| yarum ariya \| pavithra \| 05:16 row 8 : 8 \| salsa - theme music \| instrumental \| 01:33 ] Execute this SQL based on the above table: select ( select count ( * ) where song = 'mullai poo' ) - ( select count ( * ) where song = 'kalluri padam' )	0
[ header: # \| title \| songwriters \| producer(s) \| performer (s) row 1 : 1 \| "a dream" \| l. lynn, w \| will.i.am \| common, will.i.am row 2 : 2 \| "listen!!!" \| t.k. greene, k \| kwame \| talib kweli row 3 : 3 \| "it's r time [lenky \| j. ortega, v. \| None \| jeannie ortega row 4 : 4 \| "when the ship goes down (dia \| l. freese, l. \| dj muggs \| cypress hill row 5 : 5 \| "hip hop hooray" \| v. brown, a. cri \| naughty by nature \| naughty by nature row 6 : 6 \| "keep ya head up" \| t. shakur, d \| dj daryl \| 2pac row 7 : 7 \| "code of the streets" \| k. elam, c \| dj premier \| gang starr row 8 : 8 \| "rebirth of slick (cool like \| i. butler, c. \| butterfly \| digable planets row 9 : 9 \| "officer" \| t. hardson, j. mar \| j-swift \| the pharcyde row 10 : 10 \| "this is how we do it" \| m. jordan, o. \| montell jordan, oji pier \| montell jordan row 11 : 11 \| "colors" \| w. adams \| will.i.am \| will.i.am row 12 : 12 \| "bus ride" \| w. adams \| will.i.am \| will.i.am row 13 : 13 \| "riots" \| m. isham, w. \| None \| mark isham, miri ben-ari row 14 : 14 \| "eva's theme" \| m. isham \| None \| mark isham row 15 : 15 \| "anne frank" \| m. isham \| None \| mark isham, miri ben-ari ] Execute this SQL based on the above table: select songwriters where id = ( select id where # = 8 ) - 1	k. elam, c. martin, r. russell
[ header: sl no \| constituency name \| constituency number \| member of legislative assembly \| political party row 1 : 2 \| abhayapuri south \| 35 \| chandan kumar sarkar \| indian national congress row 2 : 4 \| amguri \| 103 \| anjan dutta \| indian national congress row 3 : 9 \| barhampur \| 87 \| prafulla kumar mahanta \| asom gana parishad row 4 : 15 \| bihali \| 77 \| pallab lochan das \| indian national congress row 5 : 16 \| bihpuria \| 109 \| bhupen kumar bor \| indian national congress row 6 : 17 \| bijni \| 33 \| kamalshing narzary \| bodoland peoples front row 7 : 21 \| bokajan \| 17 \| klengdoon engti \| indian national congress row 8 : 35 \| dhemaji \| 113 \| sumitra doley patir \| indian national congress row 9 : 49 \| gauripur \| 24 \| banendra kumar mushahary \| bodoland peoples front row 10 : 53 \| golakganj \| 25 \| abu taher bepari \| indian national congress row 11 : 56 \| hajo \| 55 \| dwipen pathak \| all india trinamool congress row 12 : 59 \| howraghat \| 18 \| khorsing engti \| indian national congress row 13 : 60 \| jagiroad \| 79 \| bibekananda dalai \| indian national congress row 14 : 62 \| jalukbari \| 51 \| himanta biswa sarma \| indian national congress row 15 : 63 \| jamunamukh \| 90 \| mohammed sirajuddin a \| all india united democratic front row 16 : 64 \| jania \| 44 \| rafiqul islam \| all india united democratic front row 17 : 65 \| jonai \| 114 \| pradan baruah \| indian national congress row 18 : 73 \| katlicherra \| 7 \| gautam roy \| indian national congress row 19 : 76 \| kokrajhar west \| 29 \| pradip kumar brahma \| bodoland peoples front row 20 : 83 \| majuli \| 99 \| sri rajib lochan \| indian national congress row 21 : 87 \| mazbat \| 70 \| rakheswar brahma \| bodoland peoples front row 22 : 95 \| nowgong \| 86 \| dr. durlav chandra \| indian national congress row 23 : 101 \| rangapara \| 74 \| bhimananda tanti \| indian national congress row 24 : 105 \| sadiya \| 126 \| bolin chetia \| indian national congress row 25 : 111 \| sidli \| 31 \| sri chandan brahm \| bodoland peoples front row 26 : 114 \| sonai \| 10 \| anamul haque \| indian national congress row 27 : 115 \| sonari \| 106 \| sarat borkotoky \| indian national congress row 28 : 116 \| sootea \| 75 \| padma hazarika \| asom gana parishad row 29 : 119 \| teok \| 102 \| membar gogoi \| indian national congress row 30 : 122 \| tingkhong \| 119 \| atuwa munda \| indian national congress row 31 : 123 \| tinsukia \| 122 \| rajendra prasad singh \| indian national congress ] Execute this SQL based on the above table: select member of legislative assembly order by sl no limit 1	chandan kumar sarkar
[ header: model \| origin \| type \| version \| in service \| notes row 1 : am general hmmwv \| united states \| light utility vehicle \| m998a1 m1038 \| None \| divided into several variants and series, including armor row 2 : maxi-ambulance \| united states \| light utility vehicle \| m997a2 \| 19 \| 23 delivered to afp on nov row 3 : m939 truck \| united states \| heavy utility vehicle \| m923 m929 m \| >20 0 0 0 0 \| 20 m923 delivered in 2010, several more row 4 : m35 truck \| united states \| heavy utility vehicle \| m35a1 m35a2 \| None \| divided into several variants and series, in service row 5 : mitsubishi fuso fighter \| japan \| light utility vehicle \| fk troop carrier \| None \| locally sourced row 6 : cmc cruiser \| philippines \| 1/4-ton light utility vehicle \| standard \| None \| limited production run, introduced in the mid-1990 row 7 : delta mini cruiser \| philippines \| 1/4-ton light utility vehicle \| m1777 \| None \| divided into several variants and series, including short row 8 : m151 \| united states \| 1/4-ton light utility vehicle \| m151 \| None \| in service row 9 : mitsubishi l200 \| japan \| light utility vehicle \| l200 \| None \| used by military police row 10 : km-50 series \| republic of korea \| heavy utility vehicle \| km-500 km-503 \| 6 12 \| km-500 as 155mm artillery row 11 : km-25 series \| republic of korea \| medium utility vehicle \| km-250 \| <250 \| in service. some units received by other armed row 12 : km-45 series \| republic of korea \| light utility vehicle \| km-450 \| 727 \| 651 purchased by afp on 2007 row 13 : km-45 series \| republic of korea \| field ambulance \| km-451 \| 48 \| 60 purchased by afp in 2012, ] Execute this SQL based on the above table: select notes where type = 'light utility vehicle'	divided into several variants and series, including armored variants. uparmored variants (m1025p1 and m1114) are assigned with the mechanized infantry division and special operations command, 23 delivered to afp on november 2011, pmc received 4 units, locally sourced, used by military police, 651 purchased by afp on 2007 (590 for army) and 137 on december 2010
[ header: date \| opponents \| h / a \| result f - a \| scorers \| attendance row 1 : 26 august 1933 \| plymouth argyle \| a \| 0 - 4 \| None \| 25700 row 2 : 30 august 1933 \| nottingham forest \| h \| 0 - 1 \| None \| 16934 row 3 : 2 september 1933 \| lincoln city \| h \| 1 - 1 \| green \| 16987 row 4 : 7 september 1933 \| nottingham forest \| a \| 1 - 1 \| stewart \| 10650 row 5 : 9 september 1933 \| bolton wanderers \| h \| 1 - 5 \| stewart \| 21779 row 6 : 16 september 1933 \| brentford \| a \| 4 - 3 \| brown (2), frame, hine \| 17180 row 7 : 23 september 1933 \| burnley \| h \| 5 - 2 \| dewar (4), brown \| 18411 row 8 : 14 october 1933 \| bradford park avenue \| a \| 1 - 6 \| hine \| 11033 row 9 : 21 october 1933 \| bury \| a \| 1 - 2 \| byrne \| 15008 row 10 : 25 november 1933 \| bradford city \| h \| 2 - 1 \| dewar, own goal \| 20902 row 11 : 2 december 1933 \| port vale \| a \| 3 - 2 \| black, brown, dewar \| 10316 row 12 : 9 december 1933 \| notts county \| h \| 1 - 2 \| dewar \| 15564 row 13 : 16 december 1933 \| swansea town \| a \| 1 - 2 \| hine \| 6591 row 14 : 23 december 1933 \| millwall \| h \| 1 - 1 \| dewar \| 12043 row 15 : 26 december 1933 \| grimsby town \| a \| 3 - 7 \| byrne (2), frame \| 15801 row 16 : 6 january 1934 \| lincoln city \| a \| 1 - 5 \| brown \| 6075 row 17 : 20 january 1934 \| bolton wanderers \| a \| 1 - 3 \| ball \| 11887 row 18 : 3 february 1934 \| burnley \| a \| 4 - 1 \| cape (2), green, stewart \| 9906 row 19 : 10 february 1934 \| oldham athletic \| h \| 2 - 3 \| cape, green \| 24480 row 20 : 24 february 1934 \| bradford park avenue \| h \| 0 - 4 \| None \| 13389 row 21 : 3 march 1934 \| bury \| h \| 2 - 1 \| ball, gallimore \| 11176 row 22 : 10 march 1934 \| hull city \| a \| 1 - 4 \| ball \| 5771 row 23 : 17 march 1934 \| fulham \| h \| 1 - 0 \| ball \| 17565 row 24 : 24 march 1934 \| southampton \| a \| 0 - 1 \| None \| 4840 row 25 : 30 march 1934 \| west ham united \| h \| 0 - 1 \| None \| 29114 row 26 : 31 march 1934 \| blackpool \| h \| 2 - 0 \| cape, hine \| 20038 row 27 : 2 april 1934 \| west ham united \| a \| 1 - 2 \| cape \| 20085 row 28 : 7 april 1934 \| bradford city \| a \| 1 - 1 \| cape \| 9258 row 29 : 14 april 1934 \| port vale \| h \| 2 - 0 \| brown, mcmillen \| 14777 row 30 : 21 april 1934 \| notts county \| a \| 0 - 0 \| None \| 9645 row 31 : 28 april 1934 \| swansea town \| h \| 1 - 1 \| topping \| 16678 row 32 : 5 may 1934 \| millwall \| a \| 2 - 0 \| cape, manley \| 24003 ] Execute this SQL based on the above table: select count ( attendance ) where attendance > 25700 and opponents = 'lincoln city'	0
[ header: city/municipality \| city/municipality \| no. of barangays \| area (hectares) \| population (2010) \| income class (2010) \| mayor (2010-2013) row 1 : None \| baao \| 30 \| 10663 \| 54971 \| 3rd class \| melquiades i. gait row 2 : None \| balatan \| 17 \| 9309 \| 28699 \| 4th class \| ernesto a. bagas row 3 : None \| bato \| 33 \| 10712 \| 48306 \| 3rd class \| jeanette r. bernal row 4 : None \| buhi \| 38 \| 24665 \| 73809 \| 1st class \| rey p. lacoste row 5 : None \| bula \| 33 \| 16764 \| 68011 \| 2nd class \| benjamin s. decen row 6 : None \| calabanga \| 48 \| 16380 \| 78119 \| 1st class \| eduardo severo row 7 : None \| camaligan \| 13 \| 468 \| 22254 \| 5th class \| marilou marquez-hirose row 8 : None \| caramoan \| 49 \| 27600 \| 44945 \| 2nd class \| constantino h. cordial, row 9 : None \| gainza \| 8 \| 1475 \| 10345 \| 5th class \| william angeles abilay row 10 : None \| garchitorena \| 23 \| 24380 \| 25204 \| 4th class \| solon o.demetriou j row 11 : None \| goa \| 34 \| 20618 \| 58503 \| 2nd class \| antero s. lim row 12 : None \| iriga city \| 36 \| 13735 \| 105919 \| 4th class \| madeleine a. gazmen row 13 : None \| lagonoy \| 38 \| 37790 \| 51814 \| 2nd class \| delfin r. pilapil row 14 : None \| libmanan \| 75 \| 34282 \| 100002 \| 1st class \| marilyn a. jimenez row 15 : None \| lupi \| 38 \| 19912 \| 30118 \| 3rd class \| raul m. matamoros row 16 : None \| magarao \| 15 \| 4497 \| 24274 \| 4th class \| salvador a. senar row 17 : None \| milaor \| 20 \| 3364 \| 28474 \| 4th class \| rogelio a. row 18 : None \| nabua \| 42 \| 9620 \| 80111 \| 1st class \| delia c. simbulan row 19 : 25px \| naga city \| 27 \| 8448 \| 174931 \| 2nd class \| john g. bongat row 20 : None \| ocampo \| 25 \| 11833 \| 43523 \| 3rd class \| fidel c. carido row 21 : None \| pamplona \| 17 \| 8060 \| 34471 \| 4th class \| gimeno a. imperial row 22 : None \| pasacao \| 19 \| 14954 \| 45946 \| 3rd class \| asuncion v. arseni row 23 : None \| pili \| 26 \| 12625 \| 82307 \| 1st class \| tomas p. bongalonta, row 24 : None \| presentacion \| 18 \| 14380 \| 20023 \| 4th class \| joey a. delen row 25 : None \| sagnay \| 19 \| 15476 \| 31314 \| 4th class \| evelyn b. fuente row 26 : None \| san fernando \| 22 \| 7176 \| 33281 \| 4th class \| eugenio "jun" ] Execute this SQL based on the above table: select count ( city/municipality )	26
[ header: midwest division v t e \| w \| l \| pct \| gb \| home \| road \| div row 1 : y-denver nuggets \| 50 \| 32 \| 0.61 \| None \| 36-5 \| 14-27 \| 15-5 row 2 : x-detroit pistons \| 44 \| 38 \| 0.537 \| 6 \| 30-11 \| 14-27 \| 12-8 row 3 : x-chicago bulls \| 44 \| 38 \| 0.537 \| 6 \| 31-10 \| 13-28 \| 10-10 row 4 : kansas city kings \| 40 \| 42 \| 0.488 \| 10 \| 28-13 \| 12-29 \| 7-13 row 5 : indiana pacers \| 36 \| 46 \| 0.439 \| 14 \| 25-16 \| 11-30 \| 9-11 row 6 : milwaukee bucks \| 30 \| 52 \| 0.366 \| 20 \| 24-17 \| 6-35 \| 7-13 ] Execute this SQL based on the above table: select div order by w desc limit 1	15-5
[ header: station \| distance from wellington \| height above sea level (m) \| opened \| closed \| notes row 1 : tawa \| 13.58 km \| 25.6m \| 1937 \| open \| tawa flat (closed 1937) was row 2 : kenepuru \| 16.16 km \| 15m \| 1940 \| open \| None row 3 : paremata \| 21.7 km \| 2.7m \| 1885 \| open \| None row 4 : plimmerton \| 24.4 km \| 5.8m \| 1885 \| open \| None row 5 : waikanae \| 55.31 km \| 31m \| 1886 \| open \| None row 6 : ohau \| 84.95 km \| 30.7m \| 1886 \| c.1970 \| None row 7 : linton \| 124.19 km \| 18.3m \| 1886 \| closed \| None row 8 : awapuni \| 132 km \| 24.7m \| 1876 \| 1965 \| None row 9 : palmerston north \| 136.03 km \| 28m \| 1963 \| open \| None row 10 : bunnythorpe \| 144.47 km \| 55.2m \| 1876 \| closed \| None row 11 : halcombe \| 165.76 km \| 118m \| 1878 \| closed \| None row 12 : greatford \| 175.67 km \| 104.5m \| 1878 \| c.1970 \| None row 13 : cliff road \| 183.58 km \| 159.7m \| 1888 \| 1966 \| None row 14 : ohingaiti \| 222.14 km \| 279m \| 1902 \| 1975 \| None row 15 : ohotu \| 247.08 km \| 395.6m \| 1904 \| closed \| None row 16 : ngaurukehu \| 270.25 km \| 640m \| 1908 \| closed \| None row 17 : turangarere \| 274.5 km \| 702m \| 1912 \| 1972 \| None row 18 : tangiwai \| 299.49 km \| 699.5m \| 1909 \| closed \| nearest station to the tangiwai row 19 : rangataua \| 312.79 km \| 670m \| 1909 \| closed \| None row 20 : raurimu \| 358.31 km \| 589m \| 1908 \| closed \| None row 21 : owhango \| 371.89 km \| 456.6m \| 1908 \| closed \| None row 22 : taumarunui \| 397.75 km \| 171m \| 1903 \| 2012 \| None row 23 : taringamotu \| 402 km \| 172.5m \| 1903 \| 1971 \| None row 24 : okahukura \| 408.54 \| 178.3m \| 1903 \| closed \| okahukura junction in working time row 25 : waiteti \| 470.07 km \| 135m \| 1889 \| closed \| None row 26 : te kumi \| 478.56 km \| 49.6m \| 1887 \| closed \| None row 27 : otorohonga \| 494.41 km \| 37m \| 1887 \| 2012 \| reopened summer 2012 row 28 : te awamutu \| 517.02 km \| 50m \| 1880 \| 2005 \| new zealand dairy board (now font row 29 : ngaroto \| 519.92 km \| 56m \| 1880 \| 1954 \| None row 30 : ohinewai \| 582.04 km \| 10m \| 1877 \| c1968 \| None row 31 : paerata \| 633.29 km \| 45.1m \| 1875 \| 1980 \| paerata junction from 1917 row 32 : takanini \| 650.64 km \| 15.2m \| 1875 \| open \| None row 33 : puhinui \| 658.92 km \| 19.8m \| 1904 \| open \| None row 34 : middlemore \| 662.28 km \| 8.8m \| 1904 \| open \| None ] Execute this SQL based on the above table: select height above sea level (m) where distance from wellington > 562	10.0, 45.1, 15.2, 19.8, 8.8
[ header: year \| competition \| venue \| position \| notes row 1 : 2002 \| world junior championships \| kingston, jamaica \| 1st \| 64.51 m (1.75 kg) row 2 : 2002 \| asian games \| busan, south korea \| 1st \| 60.76 m row 3 : 2003 \| universiade \| daegu, south korea \| 1st \| 62.32 m row 4 : 2003 \| asian championships \| manila, philippines \| 1st \| 61.43 m row 5 : 2004 \| olympic games \| athens, greece \| 18th (q) \| 60.60 m row 6 : 2005 \| world championships \| helsinki, finland \| 18th (q) \| 61.75 m row 7 : 2005 \| universiade \| izmir, turkey \| 7th \| 59.67 m row 8 : 2005 \| east asian games \| macau \| 1st \| 61.74 m row 9 : 2006 \| asian games \| doha, qatar \| 5th \| 58.54 m row 10 : 2009 \| asian championships \| guangzhou, china \| 3rd \| 59.27 m ] Execute this SQL based on the above table: select venue order by competition desc limit 1	kingston, jamaica
[ header: no. in series \| no. in season \| title \| directed by \| written by \| original air date \| prod. code row 1 : 68 \| 1 \| "you can go home again" \| jeff mccracken \| mark blutman & howard bus \| september 20, 1996 \| b720 row 2 : 69 \| 2 \| "hair today, goon tomorrow" \| jeff mccracken \| susan estelle jansen \| september 27, 1996 \| b721 row 3 : 71 \| 4 \| "fishing for virna" \| jeff mccracken \| matthew nelson \| october 11, 1996 \| b723 row 4 : 72 \| 5 \| "shallow boy" \| jeff mccracken \| jeff sherman \| october 18, 1996 \| b724 row 5 : 73 \| 6 \| "janitor dad" \| jeff mccracken \| jeff menell \| october 25, 1996 \| b725 row 6 : 74 \| 7 \| "singled out" \| jeff mccracken \| steve hibbert \| november 1, 1996 \| b727 row 7 : 75 \| 8 \| "dangerous secret" \| jeff mccracken \| jeff sherman \| november 8, 1996 \| b726 row 8 : 76 \| 9 \| "sixteen candles and four-hund \| jeff mccracken \| matthew nelson \| november 15, 1996 \| b728 row 9 : 77 \| 10 \| "turkey day" \| jeff mccracken \| susan estelle jansen \| november 22, 1996 \| b729 row 10 : 79 \| 12 \| "easy street" \| jeff mccracken \| jeff menell \| december 13, 1996 \| b732 row 11 : 80 \| 13 \| "b & b's b \| jeff mccracken \| mark blutman & howard bus \| january 3, 1997 \| b733 row 12 : 81 \| 14 \| "wheels" \| jeff mccracken \| jeff sherman \| january 17, 1997 \| b734 row 13 : 82 \| 15 \| "chick like me" \| jeff mccracken \| steve hibbert \| january 31, 1997 \| b731 row 14 : 83 \| 16 \| "a long walk to pittsburgh ( \| jeff mccracken \| matthew nelson \| february 7, 1997 \| b736 row 15 : 84 \| 17 \| "a long walk to pittsburgh ( \| jeff mccracken \| mark blutman & howard bus \| february 14, 1997 \| b737 row 16 : 85 \| 18 \| "uncle daddy" \| jeff mccracken \| steve young \| february 28, 1997 \| b738 row 17 : 86 \| 19 \| "quiz show" \| jeff mccracken \| steve hibbert \| march 21, 1997 \| b735 row 18 : 87 \| 20 \| "security guy" \| jeff mccracken \| steve hibbert \| april 25, 1997 \| b740 row 19 : 88 \| 21 \| "cult fiction" \| jeff mccracken \| jeff menell \| may 2, 1997 \| b739 row 20 : 89 \| 22 \| "learning to fly" \| jeff mccracken \| jeff sherman \| may 9, 1997 \| b741 ] Execute this SQL based on the above table: select no. in season where title = '"cult fiction"'	21.0
[ header: date \| opponents \| venue \| result \| scorers \| attendance \| report 1 \| report 2 row 1 : 27-jan-68 \| bournemouth \| a \| 0-0 \| None \| 24388 \| report \| report row 2 : 30-jan-68 \| bournemouth \| h \| 4-1 \| hateley 33' thompson 44 \| 54075 \| report \| report row 3 : 17-feb-68 \| walsall \| a \| 0-0 \| None \| 21066 \| report \| report row 4 : 19-feb-68 \| walsall \| h \| 5-2 \| hateley 24', 33', 64' \| 39113 \| report \| report row 5 : 09-mar-68 \| tottenham hotspur \| a \| 1-1 \| hateley 54' \| 54005 \| report \| report row 6 : 12-mar-68 \| tottenham hotspur \| h \| 2-1 \| hunt 23' smith 78 pen' \| 53658 \| report \| report row 7 : 30-mar-68 \| west bromwich albion \| a \| 0-0 \| None \| 53062 \| report \| report row 8 : 08-apr-68 \| west bromwich albion \| h \| 1-1 \| hateley 24' \| 54273 \| report \| report row 9 : 18-apr-68 \| west bromwich albion \| n \| 1-2 \| hateley 39' \| 56000 \| report \| report ] Execute this SQL based on the above table: select count ( result ) where opponents = 'tottenham hotspur'	2
[ header: pos. \| driver \| co-driver \| car \| time \| difference \| points row 1 : 1 \| sebastien loeb \| daniel elena \| citroen c4 wr \| 3:59:18.9 \| 0 \| 10 row 2 : 2 \| dani sordo \| marc marti \| citroen c4 wr \| 3:59;36.4 \| 17.5 \| 8 row 3 : 3 \| mikko hirvonen \| jarmo lehtinen \| ford focus rs wrc \| 4:00:00.4 \| 41.5 \| 6 row 4 : 4 \| petter solberg \| phil mills \| subaru impreza wrc \| 4:02:07.8 \| 2:48.9 \| 5 row 5 : 5 \| urmo aava \| kuldar sikk \| citroen c4 wr \| 4:02:49.6 \| 3:30.7 \| 4 row 6 : 6 \| pg andersson \| jonas andersson \| suzuki sx4 wr \| 4:06:56.3 \| 7:37.4 \| 3 row 7 : 7 \| toni gardemeister \| tomi tuominen \| suzuki sx4 wr \| 4:07:13.8 \| 7:54.9 \| 2 row 8 : 8 \| federico villagra \| jorge perez companc \| ford focus rs wrc \| 4:07:53.9 \| 8:35.0 \| 1 row 9 : 1. (10.) \| martin prokop \| jan tomanek \| mitsubishi lancer evo ix \| 4:13:07.9 \| 0 \| 10 row 10 : 2. (11.) \| patrik sandell \| emil axelsson \| mitsubishi lancer evo ix \| 4:13:44.1 \| 36.2 \| 8 row 11 : 3. (12.) \| martin rauam \| silver kutt \| mitsubishi lancer evo ix \| 4:14:05.7 \| 57.8 \| 6 ] Execute this SQL based on the above table: select points where car = 'mitsubishi lancer evo ix'	10.0, 8.0, 6.0

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[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 15 august 2012 \| ullevaal stadion, \| norway \| 1-3 \| 2-3 \| friendly row 2 : 2 \| 11 september 2012 \| karaiskakis stadium, pir \| lithuania \| 2-0 \| 2-0 \| 2014 fifa world cup qualifier row 3 : 3 \| 14 august 2013 \| red bull arena, salzburg, austria \| austria \| 0-1 \| 0-2 \| friendly row 4 : 4 \| 14 august 2013 \| red bull arena, salzburg, austria \| austria \| 0-2 \| 0-2 \| friendly row 5 : 5 \| 6 september 2013 \| rheinpark stadion, \| liechtenstein \| 0-1 \| 0-1 \| 2014 fifa world cup qualifier row 6 : 6 \| 15 november 2013 \| karaiskakis stadium, pir \| romania \| 1-0 \| 3-1 \| 2014 fifa world cup qualifier - row 7 : 7 \| 15 november 2013 \| karaiskakis stadium, pir \| romania \| 3-1 \| 3-1 \| 2014 fifa world cup qualifier - row 8 : 8 \| 19 november 2013 \| arena nationala, bucharest, roman \| romania \| 0-1 \| 1-1 \| 2014 fifa world cup qualifier - ] Execute this SQL based on the above table: select # where result = '0-2'	3.0, 4.0
[ header: # \| player \| position \| height \| current club row 1 : 4 \| garreth lodge \| point guard \| 1.85 \| edinburgh kings row 2 : 5 \| patrick campbell \| shooting guard \| 1.93 \| edinburgh kings row 3 : 6 \| grant gibson \| point guard \| 1.82 \| e.lothian b row 4 : 7 \| laurie costello \| point guard \| 1.87 \| edinburgh kings row 5 : 8 \| josh crolley \| small forward \| 1.98 \| troon tornadoes row 6 : 9 \| daniel donnelly \| small forward \| 1.98 \| troon tornadoes row 7 : 10 \| michael lynn \| forward \| None \| st. mirren row 8 : 11 \| ross campbell \| forward \| 1.98 \| troon tornadoes row 9 : 12 \| steven leven \| forward \| 1.97 \| arkadikos row 10 : 13 \| thomas pearson \| center \| 2 \| manchester magic row 11 : 14 \| ikemefuna attah \| power forward \| 1.98 \| tees valley mohawks row 12 : 15 \| simon flockhart \| center \| 2.1 \| edinburgh kings ] Execute this SQL based on the above table: select position order by position desc limit 1	small forward
[ header: station complex \| individual stations \| lines \| services \| notes row 1 : 42nd street / fifth avenue - br \| fifth avenue \| irt flushing line \| 7 <7> \| a paper transfer was added between the ind row 2 : 50th street \| upper level \| ind eighth avenue line \| a c \| the station became a transfer station when the queen row 3 : lexington avenue / 51st \| 51st street \| irt lexington avenue line \| 4 6 <6> \| a passageway connects these two stations on row 4 : seventh avenue \| cross-platform interchange on two levels \| ind sixth avenue line \| b d \| the station became a transfer station when the sixth row 5 : 59th street - columbus circle \| 59th street - columbus circle \| irt broadway - seventh avenue \| 1 2 \| the irt broadway - seventh row 6 : 59th street - columbus circle \| 59th street - columbus circle \| ind eighth avenue line \| a b c d \| the irt broadway - seventh row 7 : lexington avenue / 59th- \| 59th street \| irt lexington avenue line \| 4 5 6 <6> \| the passageways between the broadway line and the row 8 : 168th street \| 168th street \| irt broadway - seventh avenue \| 1 \| at the crossing of the irt broad ] Execute this SQL based on the above table: select ( select station complex where individual stations = '59th street - columbus circle' ) - ( select services where individual stations = '59th street - columbus circle' )	58
[ header: week \| date \| opponent \| results final score \| results team record \| venue \| attendance row 1 : 1 \| september 20 \| at detroit lions \| w 16-13 \| 1-0 \| tiger stadium \| 54,418 row 2 : 2 \| september 26 \| chicago bears \| l 20-17 \| 1-1 \| metropolitan stadium \| 47,900 row 3 : 3 \| october 3 \| buffalo bills \| w 19-0 \| 2-1 \| metropolitan stadium \| 47,900 row 4 : 4 \| october 10 \| at philadelphia eagle \| w 13-0 \| 3-1 \| veterans stadium \| 65,358 row 5 : 5 \| october 17 \| at green bay packers \| w 24-13 \| 4-1 \| lambeau field \| 56,263 row 6 : 6 \| october 25 \| baltimore colts \| w 10-3 \| 5-1 \| metropolitan stadium \| 49,784 row 7 : 7 \| october 31 \| at new york giants \| w 17-10 \| 6-1 \| yankee stadium \| 62,829 row 8 : 8 \| november 7 \| san francisco 49ers \| l 13-9 \| 6-2 \| metropolitan stadium \| 49,784 row 9 : 9 \| november 14 \| green bay packers \| w 3-0 \| 7-2 \| metropolitan stadium \| 49,784 row 10 : 10 \| november 21 \| at new orleans saints \| w 23-10 \| 8-2 \| tulane stadium \| 83,130 row 11 : 11 \| november 28 \| atlanta falcons \| w 24-7 \| 9-2 \| metropolitan stadium \| 49,784 row 12 : 12 \| december 5 \| at san diego chargers \| l 30-14 \| 9-3 \| san diego stadium \| 54,505 row 13 : 13 \| december 11 \| detroit lions \| w 29-10 \| 10-3 \| metropolitan stadium \| 49,784 row 14 : 14 \| december 19 \| at chicago bears \| w 27-10 \| 11-3 \| soldier field \| 55,049 ] Execute this SQL based on the above table: select venue where week <= 7	tiger stadium, metropolitan stadium, metropolitan stadium, veterans stadium, lambeau field, metropolitan stadium, yankee stadium
[ header: player \| games played \| field goals \| free throws \| points row 1 : ralf woods \| 16 \| 54 \| 70 \| 178 row 2 : clyde alwood \| 15 \| 57 \| 0 \| 114 row 3 : ernest mckay \| 15 \| 39 \| 3 \| 81 row 4 : ray woods \| 16 \| 19 \| 0 \| 38 row 5 : john felmley \| 6 \| 7 \| 4 \| 18 row 6 : george halas \| 11 \| 5 \| 0 \| 10 row 7 : r.c. haas \| 3 \| 1 \| 0 \| 2 row 8 : gordon otto \| 4 \| 1 \| 0 \| 2 ] Execute this SQL based on the above table: select field goals order by player limit 1	57
[ header: national park \| region \| land area (km2) \| established \| visitation (2009) \| coordinates row 1 : archipelago \| finland proper \| 500 \| 1982 \| 53500 \| 59°54′53′′n 21° row 2 : bothnian sea \| None \| None \| 2011 \| None \| None row 3 : ekenas archipelago \| uusimaa \| 52 \| 1989 \| 44500 \| 59°49′22′′n 23° row 4 : isojarvi \| central finland \| 19 \| 1982 \| 10500 \| 61°41′54′′n 25° row 5 : kolovesi \| southern savonia \| 23 \| 1990 \| 7500 \| 62°15′27′′n 28° row 6 : lauhanvuori \| southern ostrobothnia \| 53 \| 1982 \| 10000 \| 62°09′7′′n 22° row 7 : linnansaari \| southern savonia / northern \| 38 \| 1956 \| 31000 \| 62°6′38′′n 28° row 8 : nuuksio \| uusimaa \| 45 \| 1994 \| 179500 \| 60°18′27′′n 24°29 row 9 : pyha-hakki \| central finland \| 13 \| 1956 \| 17000 \| 62°50′44′′n 25° row 10 : riisitunturi \| lapland \| 77 \| 1982 \| 15000 \| 66°14′n 28°30′ row 11 : rokua \| northern ostrobothnia / \| 4.3 \| 1956 \| 23500 \| 64°33′22′′n 26°30 row 12 : sipoonkorpi \| uusimaa \| 18.6 \| 2011 \| None \| 60°18′54′′n 25°13 row 13 : syote \| northern ostrobothnia / \| 299 \| 2000 \| 40000 \| 65°44′51′′n 27°54 ] Execute this SQL based on the above table: select coordinates order by id desc limit 1	65°44′51′′n 27°54′43′′e / 65.74750°n 27.91194°e
[ header: model \| origin \| type \| version \| in service \| notes row 1 : larc-v \| united states \| amphibious support vehicle \| larc-v \| 5 \| most refurbished in 2006 row 2 : gkn aquatrack \| united kingdom \| amphibious support vehicle \| aquatrack \| 2 \| introduced in mid 1990s. originally owned by the row 3 : am general hmmwv \| united states \| light utility vehicle \| m998a1 m1038 \| None \| divided into several variants and series row 4 : maxi-ambulance \| united states \| light utility vehicle \| m997a2 \| 4 \| 150 delivered to afp on nov row 5 : m939 truck \| united states \| heavy utility vehicle \| m923 \| None \| several delivered to afp in 2013, several row 6 : m35 truck \| united states \| 2 1/2-ton utility vehicle \| m35 \| None \| divided into several variants and series. more delivered row 7 : m151 \| united states \| 1/4-ton light utility vehicle and weapons carrier \| standard \| None \| in service, several carrying m40 106 row 8 : delta mini cruiser \| philippines \| 1/4-ton light utility vehicle \| m1777 \| None \| divided into several variants and series, including short row 9 : marine multi-purpose vehicle \| philippines \| light utility vehicle and weapons carrier \| standard \| None \| to replace the m151 mutt, row 10 : km-50 series \| republic of korea \| 5-ton utility vehicle \| km-500 \| 12 \| 155mm artillery prime mover. row 11 : km-45 series \| republic of korea \| 1 1/2-ton utility vehicle \| km-450 \| >50 \| 3000 purchased by afp on 2007, row 12 : km-45 series \| republic of korea \| field ambulance \| km-451 \| 12 \| 500 purchased by afp in 2012, ] Execute this SQL based on the above table: select type order by in service desc limit 1	1 1/2-ton utility vehicle
[ header: no. \| date/time \| aircraft \| foe \| result \| location \| notes row 1 : u/c \| 14 june 1917 \| nieuport 17 \| enemy aircraft \| None \| mount verena \| victory originally confirmed, but disallowed postwar row 2 : 1 \| 25 october 1917 @ 0800 \| None \| enemy aircraft \| forced to land \| marcesina \| None row 3 : 2 \| 7 november 1917 circa 1615 hours \| None \| enemy aircraft \| forced to land \| fonsazo \| awarded silver medal for military valor row 4 : 3 \| 7 december 1917 @ 1130 hours \| None \| enemy aircraft \| None \| val d'assa \| None row 5 : 4 \| 13 december 1917 ca. 1130 hours \| None \| enemy aircraft \| None \| asiago \| None row 6 : 5 \| 30 january 1918 @ 1000 hours \| None \| enemy two-seater \| None \| col d'eshele, \| awarded silver medal for military valor row 7 : u/c \| 4 february 1918 ca. 1100 hours \| None \| black enemy fighter craft \| None \| valstagna \| claim shared with antonio reali row 8 : 6 \| 5 february 1918 ca. 0830 hours \| None \| enemy two-seater \| forced to land \| case girardi \| shared with marziale cerutti row 9 : 7 \| 13 february 1918 @ 0915 hours \| None \| enemy fighter \| None \| marcesina \| None row 10 : u/c \| 24 february 1918 \| None \| enemy aircraft \| None \| mount grappa \| None row 11 : 8 \| 4 may 1918 @ 0850 hours \| nieuport 27 \| enemy aircraft \| None \| montello \| austro-hungarians reported no matching loss row 12 : 9 \| 4 may 1918 @ 1025 hours \| nieuport 27 \| enemy fighter \| None \| montello \| austro-hungarians reported no matching loss ] Execute this SQL based on the above table: select count ( * ) where location = 'marcesina'	2
[ 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 = 'ecuador' and nation = 'ecuador'	ecuador
[ header: country \| name \| title, position \| grand cross with collar \| year of appointment row 1 : belgium \| paola \| former queen \| None \| 1997 row 2 : belgium \| philippe \| king \| None \| 2003 row 3 : bulgaria \| georgi parvanov \| former president \| None \| 2006 row 4 : croatia \| ivo josipovic \| president \| None \| 2011 row 5 : denmark \| benedikte \| princess \| None \| 1974 row 6 : denmark \| joachim \| prince \| None \| 1991 row 7 : denmark \| margrethe ii \| queen \| None \| 1958 row 8 : denmark \| mary \| crown princess \| None \| 2005 row 9 : finland \| martti ahtisa \| former president \| None \| 1994 row 10 : finland \| mauno koivisto \| former president \| None \| 1983 row 11 : finland \| tarja halonen \| former president \| None \| 2000 row 12 : france \| jacques chirac \| former president \| None \| 2000 row 13 : germany \| roman herzog \| former president \| None \| 1998 row 14 : germany \| marianne von weizsacker \| former first lady \| None \| 1986 row 15 : greece \| constantine ii \| former king \| None \| 1964, 1962 row 16 : greece \| constantinos stephanopoulos \| former president \| None \| 2004 row 17 : iran \| farah pahlavi \| former empress \| None \| 1965 row 18 : iceland \| olafur ragnar grims \| president \| None \| 1998 row 19 : iceland \| vigdis finnbogadotti \| former president \| None \| 1982 row 20 : italy \| carlo azeglio cia \| former president \| None \| 2001 row 21 : japan \| akihito \| emperor \| None \| 2001, 1953 row 22 : japan \| masako \| crown princess \| None \| 2001 row 23 : jordan \| hassan \| prince \| None \| None row 24 : latvia \| vaira vike-freiberg \| former president \| None \| 2000 row 25 : lithuania \| valdas adamkus \| former president \| None \| 1998 row 26 : luxembourg \| henri \| grand duke \| None \| 2011 row 27 : luxembourg \| maria teresa \| grand duchess \| None \| 1996 row 28 : netherlands \| margriet \| princess \| None \| 1964 row 29 : netherlands \| willem-alexander \| king \| None \| 1996 row 30 : norway \| astrid \| princess \| None \| 1956 row 31 : norway \| jørgen harek \| former president of the norwegian parliament \| None \| 2005 row 32 : norway \| mette-marit \| crown princess \| None \| 2001 row 33 : norway \| carsten smith \| former chief justice of the supreme court of nor \| None \| 2003 row 34 : poland \| lech wałesa \| former president \| None \| 1995 row 35 : portugal \| antonio ramalho \| former president \| None \| 1978 row 36 : portugal \| anibal cavaco silva \| president \| None \| 2008 row 37 : romania \| emil constantinescu \| former president \| None \| 1999 row 38 : slovenia \| danilo turk \| former president \| None \| 2011 row 39 : spain \| felipe \| crown prince \| None \| 1995 row 40 : spain \| sofia \| queen \| None \| 1982 row 41 : sweden \| carl xvi gustaf \| king \| None \| 1974 row 42 : sweden \| carl philip \| prince \| None \| 2005 row 43 : sweden \| madeleine \| princess \| None \| 2005 ] Execute this SQL based on the above table: select count ( grand cross with collar )	0
[ header: name \| title \| first year in this position \| years at nebraska \| alma mater row 1 : biff jones \| head coach \| 1937 \| 1937-1941 \| army row 2 : henry schulte \| lineman coach \| 1931 \| 1919-1924, 1931-1937 \| michigan row 3 : ed weir \| freshmen coach \| 1929 \| 1926, 1929-1937, 1943 \| nebraska row 4 : w. harold browne \| assistant coach \| 1930 \| 1930-1940 \| None row 5 : roy lyman \| None \| 1936 \| 1936-1941 \| None row 6 : adolph j. lewand \| None \| 1937 \| 1937-1944 \| nebraska row 7 : jerry adams \| None \| None \| 1937 \| None row 8 : charles armstrong \| None \| 1937 \| 1937-1942, 1944 \| None ] Execute this SQL based on the above table: select years at nebraska where name = 'w. harold browne'	1930-1940
[ header: week \| date \| opponent \| results final score \| results team record \| venue \| attendance row 1 : 1 \| september 20 \| at detroit lions \| w 16-13 \| 1-0 \| tiger stadium \| 54,418 row 2 : 2 \| september 26 \| chicago bears \| l 20-17 \| 1-1 \| metropolitan stadium \| 47,900 row 3 : 3 \| october 3 \| buffalo bills \| w 19-0 \| 2-1 \| metropolitan stadium \| 47,900 row 4 : 4 \| october 10 \| at philadelphia eagle \| w 13-0 \| 3-1 \| veterans stadium \| 65,358 row 5 : 5 \| october 17 \| at green bay packers \| w 24-13 \| 4-1 \| lambeau field \| 56,263 row 6 : 6 \| october 25 \| baltimore colts \| w 10-3 \| 5-1 \| metropolitan stadium \| 49,784 row 7 : 7 \| october 31 \| at new york giants \| w 17-10 \| 6-1 \| yankee stadium \| 62,829 row 8 : 8 \| november 7 \| san francisco 49ers \| l 13-9 \| 6-2 \| metropolitan stadium \| 49,784 row 9 : 9 \| november 14 \| green bay packers \| w 3-0 \| 7-2 \| metropolitan stadium \| 49,784 row 10 : 10 \| november 21 \| at new orleans saints \| w 23-10 \| 8-2 \| tulane stadium \| 83,130 row 11 : 11 \| november 28 \| atlanta falcons \| w 24-7 \| 9-2 \| metropolitan stadium \| 49,784 row 12 : 12 \| december 5 \| at san diego chargers \| l 30-14 \| 9-3 \| san diego stadium \| 54,505 row 13 : 13 \| december 11 \| detroit lions \| w 29-10 \| 10-3 \| metropolitan stadium \| 49,784 row 14 : 14 \| december 19 \| at chicago bears \| w 27-10 \| 11-3 \| soldier field \| 55,049 ] Execute this SQL based on the above table: select date where date in ( 'december 5' , 'november 14' ) order by attendance desc limit 1	december 5
[ header: club \| winners \| runner-ups \| winning years \| runner-up years row 1 : fk austria wien \| 6 \| 2 \| 1990, 1991, 1992, 1994, 2003, \| 1986, 1994 row 2 : sk rapid wien \| 4 \| 1 \| 1986, 1987, 1988, 2008 \| 1995, 1996 row 3 : sk sturm graz \| 3 \| 2 \| 1996, 1998, 1999 \| 1997, 2002 row 4 : sv austria salzburg \| 3 \| 0 \| 1994, 1995, 1997 \| None row 5 : grazer ak \| 2 \| 1 \| 2000, 2002 \| 2004 row 6 : vfb admira wacker modling \| 1 \| 1 \| 1989 \| 1992 row 7 : fc karnten \| 1 \| 1 \| 2001 \| 2003 row 8 : fc swarovski \| 0 \| 6 \| None \| 1987, 1989, 1990, 1993, 2000, row 9 : kremser sc \| 0 \| 1 \| None \| 1988 row 10 : sv stockerau \| 0 \| 1 \| None \| 1991 row 11 : sv ried \| 0 \| 1 \| None \| 1998 row 12 : lask linz \| 0 \| 1 \| None \| 1999 row 13 : sv horn \| 0 \| 1 \| None \| 2008 ] Execute this SQL based on the above table: select club order by club desc limit 1	vfb admira wacker modling
[ header: year \| single \| us cashbox \| us hot 100 \| uk singles row 1 : 1969 \| "rock & roll holiday" \| None \| None \| None row 2 : 1970 \| "be-bop confidential" \| None \| None \| None row 3 : 1971 \| "roadrunner" \| None \| None \| None row 4 : 1971 \| "that's fine" \| None \| None \| None row 5 : 1972 \| "the red back spider" \| 85 \| 96 \| None row 6 : 1973 \| "let your yeah be yeah" \| 60 \| 57 \| 52 row 7 : 1973 \| "smokin' in the boys room \| 2 \| 3 \| 27 row 8 : 1974 \| "i'm the leader of the gang \| 26 \| 48 \| None row 9 : 1974 \| "kings of the party" \| 31 \| 31 \| None row 10 : 1974 \| "i got it bad for you" \| None \| None \| None row 11 : 1977 \| "lady (put the light on me \| 44 \| 46 \| None row 12 : 1977 \| "the martian boogie" \| 45 \| 59 \| None row 13 : 1979 \| "love stealer" \| None \| None \| None ] Execute this SQL based on the above table: select us hot 100 where single = '"the red back spider"'	96.0
[ header: \| average population (x 1000) \| live births \| deaths \| natural change \| crude birth rate (per 1000) \| crude death rate (per 1000) \| natural change (per 1000) \| fertility rates row 1 : 1906 \| 19 250 \| 650 385 \| 499 018 \| 151 367 \| 33.8 \| 25.9 \| 7.8 \| None row 2 : 1908 \| 19 530 \| 658 008 \| 460 946 \| 197 062 \| 33.7 \| 23.6 \| 10.1 \| None row 3 : 1909 \| 19 670 \| 650 498 \| 466 648 \| 183 850 \| 33.1 \| 23.7 \| 9.3 \| None row 4 : 1915 \| 20 430 \| 631 462 \| 452 479 \| 178 983 \| 30.9 \| 22.1 \| 8.8 \| None row 5 : 1917 \| 20 740 \| 602 139 \| 465 722 \| 136 417 \| 29 \| 22.5 \| 6.6 \| None row 6 : 1918 \| 20 910 \| 612 637 \| 695 758 \| -83 121 \| 29.3 \| 33.3 \| -4 \| None row 7 : 1925 \| 22 160 \| 644 741 \| 432 400 \| 212 341 \| 29.1 \| 19.5 \| 9.6 \| 3,82 row 8 : 1928 \| 22 860 \| 666 240 \| 413 002 \| 253 238 \| 29.1 \| 18.1 \| 11.1 \| 3,80 row 9 : 1931 \| 23 510 \| 649 276 \| 408 977 \| 240 299 \| 27.6 \| 17.4 \| 10.2 \| 3,58 row 10 : 1932 \| 23 897 \| 670 670 \| 388 900 \| 281 770 \| 28.3 \| 16.5 \| 11.8 \| 3,64 row 11 : 1933 \| 24 122 \| 667 866 \| 394 750 \| 273 116 \| 27.9 \| 16.5 \| 11.4 \| 3,59 row 12 : 1934 \| 24 349 \| 641 889 \| 392 793 \| 249 096 \| 26.4 \| 16.1 \| 10.2 \| 3,38 row 13 : 1935 \| 24 578 \| 636 725 \| 388 757 \| 247 968 \| 25.9 \| 15.8 \| 10.1 \| 3,31 row 14 : 1937 \| 25 043 \| 568 977 \| 475 310 \| 93 667 \| 22.7 \| 19 \| 3.7 \| 2,89 row 15 : 1942 \| 26 244 \| 530 845 \| 387 844 \| 143 001 \| 20.2 \| 14.8 \| 5.4 \| 2,53 row 16 : 1945 \| 26 770 \| 621 558 \| 330 581 \| 290 977 \| 23.2 \| 12.3 \| 10.9 \| 2,91 row 17 : 1948 \| 27 593 \| 642 041 \| 305 310 \| 336 731 \| 23.3 \| 11.1 \| 12.2 \| 2,88 row 18 : 1955 \| 29 199 \| 598 970 \| 274 188 \| 324 782 \| 20.5 \| 9.4 \| 11.1 \| 2,58 row 19 : 1956 \| 29 445 \| 608 121 \| 290 410 \| 317 711 \| 20.7 \| 9.9 \| 10.8 \| 2,61 row 20 : 1967 \| 32 734 \| 680 125 \| 280 494 \| 399 631 \| 20.8 \| 8.6 \| 12.2 \| 2,98 row 21 : 1971 \| 34 216 \| 672 092 \| 308 516 \| 363 576 \| 19.7 \| 9 \| 10.6 \| 2,88 row 22 : 1974 \| 35 288 \| 688 711 \| 300 403 \| 388 308 \| 19.6 \| 8.5 \| 11 \| 2,89 row 23 : 1981 \| 37 741 \| 533 008 \| 293 386 \| 239 622 \| 14.1 \| 7.8 \| 6.3 \| 2,04 row 24 : 1982 \| 37 942 \| 515 706 \| 286 655 \| 229 051 \| 13.6 \| 7.6 \| 6 \| 1,94 row 25 : 1983 \| 38 122 \| 485 352 \| 302 569 \| 182 783 \| 12.7 \| 7.9 \| 4.8 \| 1,80 ] Execute this SQL based on the above table: select deaths where id = 46	330 581
[ header: date \| name \| nationality \| tonnage (grt) \| fate row 1 : 18 january 1940 \| flandria \| sweden \| 1179 \| sunk row 2 : 19 january 1940 \| patria \| sweden \| 1188 \| sunk row 3 : 11 february 1940 \| linda \| estonia \| 1213 \| sunk row 4 : 4 may 1940 \| san tiburcio \| united kingdom \| 5995 \| sunk (mine) row 5 : 9 may 1940 \| doris \| french navy \| 552 \| sunk row 6 : 11 may 1940 \| tringa \| united kingdom \| 1930 \| sunk row 7 : 11 may 1940 \| viiu \| estonia \| 1908 \| sunk row 8 : 23 may 1940 \| sigurd faulbaum \| belgium \| 3256 \| sunk row 9 : 11 may 1944 \| shtorm \| soviet union \| 412 \| damaged ] Execute this SQL based on the above table: select tonnage (grt) where fate > ( select fate where tonnage (grt) = '552' ) order by fate limit 1	5995.0
[ header: date \| opponent \| venue \| result \| attendance \| scorers row 1 : 15 august 1987 \| derby county \| away \| 0-1 \| 17204 \| None row 2 : 18 august 1987 \| coventry city \| home \| 0-1 \| 9380 \| None row 3 : 22 august 1987 \| west ham united \| home \| 2-2 \| 8073 \| harford (2) row 4 : 29 august 1987 \| chelsea \| away \| 0-3 \| 16075 \| None row 5 : 31 august 1987 \| arsenal \| home \| 1-1 \| 8745 \| wilson (pen) row 6 : 5 september 1987 \| oxford united \| away \| 5-2 \| 6804 \| breacker, harford, hill row 7 : 12 september 1987 \| everton \| home \| 2-1 \| 8124 \| hill, b. stein row 8 : 19 september 1987 \| charlton athletic \| away \| 0-1 \| 5002 \| None row 9 : 26 september 1987 \| queens park rangers \| away \| 0-2 \| 11175 \| None row 10 : 3 october 1987 \| manchester united \| home \| 1-1 \| 9137 \| harford row 11 : 10 october 1987 \| portsmouth \| away \| 1-3 \| 12391 \| harford (pen) row 12 : 17 october 1987 \| wimbledon \| home \| 2-0 \| 7018 \| b. stein, wilson row 13 : 24 october 1987 \| liverpool \| home \| 0-1 \| 11997 \| None row 14 : 7 november 1987 \| newcastle united \| home \| 4-0 \| 7638 \| nwajiobi, b. row 15 : 5 december 1987 \| norwich city \| home \| 1-2 \| 7002 \| b. stein row 16 : 12 december 1987 \| watford \| away \| 1-0 \| 12152 \| foster row 17 : 26 december 1987 \| everton \| away \| 0-2 \| 32128 \| None row 18 : 28 december 1987 \| charlton athletic \| home \| 1-0 \| 7243 \| wilson row 19 : 1 january 1988 \| chelsea \| home \| 3-0 \| 8018 \| harford, b. stein, row 20 : 2 january 1988 \| west ham united \| away \| 1-1 \| 16716 \| m. stein row 21 : 6 february 1988 \| oxford united \| home \| 7-4 \| 8063 \| harford (2), mcdonough row 22 : 13 february 1988 \| arsenal \| away \| 1-2 \| 22612 \| m.stein row 23 : 5 march 1988 \| wimbledon \| away \| 0-2 \| 4854 \| None row 24 : 15 march 1988 \| coventry city \| away \| 0-4 \| 13711 \| None row 25 : 29 march 1988 \| portsmouth \| home \| 4-1 \| 6740 \| b.stein, m.stein, row 26 : 2 april 1988 \| newcastle united \| away \| 0-4 \| 20752 \| None row 27 : 5 april 1988 \| sheffield wednesday \| home \| 2-2 \| 7337 \| mcdonough, b. row 28 : 12 april 1988 \| manchester united \| away \| 0-3 \| 28830 \| None row 29 : 19 april 1988 \| queens park rangers \| home \| 2-1 \| 6735 \| foster, wilson (pen) row 30 : 30 april 1988 \| norwich city \| away \| 2-2 \| 13171 \| m. stein, wilson row 31 : 4 may 1988 \| tottenham hotspur \| away \| 1-2 \| 15437 \| grimes row 32 : 9 may 1988 \| liverpool \| away \| 1-1 \| 30374 \| oldfield ] Execute this SQL based on the above table: select count ( date )	32
[ header: name \| gender \| age \| from \| occupation \| prize money (usd) \| status row 1 : trisha \| female \| 28 \| santa monica, ca \| artist \| $26,000 \| winner row 2 : london \| male \| 46 \| mt. holly, n \| us coast guard (retired) \| $0 \| lost row 3 : adria \| female \| 25 \| seattle, wa \| bartender \| $0 \| 7th captured (by ricky ort row 4 : lucas \| male \| 32 \| carlsbad, ca \| student \| $0 \| 6th captured (by kim) row 5 : andrew \| male \| 21 \| redondo beach, ca \| student / lifeguard \| $0 \| 5th captured (by kim) row 6 : tracy \| female \| 30 \| mililani, hi \| student \| $0 \| 4th captured (by grant) row 7 : lynda \| female \| 59 \| los angeles, ca \| general contractor \| $0 \| 3rd captured (by icey) row 8 : darin \| male \| 46 \| fontana, ca \| sports official \| $0 \| 2nd captured (by wong) row 9 : evan \| male \| 29 \| long island, ny \| teacher \| $2,000 \| opted out row 10 : ameenah \| female \| 34 \| atlanta, ga \| drummer \| $0 \| 1st captured (by grant) ] Execute this SQL based on the above table: select count ( from ) where prize money (usd) = '$0'	0
[ header: game \| date \| opponent \| location \| score \| ot \| attendance \| record row 1 : 1 \| january 6, 2006 \| philadelphia wings \| xcel energy center \| l 11-15 \| None \| 8024 \| 0-1 row 2 : 2 \| january 14, 2006 \| @ philadelphia wings \| wachovia center \| w 13-10 \| None \| 11874 \| 1-1 row 3 : 3 \| january 20, 2006 \| @ calgary roughnecks \| pengrowth saddledome \| w 12-8 \| None \| 10637 \| 2-1 row 4 : 4 \| january 21, 2006 \| rochester knighthawks \| xcel energy center \| l 6-12 \| None \| 7124 \| 2-2 row 5 : 5 \| january 29, 2006 \| rochester knighthawks \| xcel energy center \| l 9-10 \| None \| 7544 \| 3-2 row 6 : 6 \| february 3, 2006 \| @ edmonton rush \| rexall place \| w 7-6 \| None \| 8745 \| 3-3 row 7 : 7 \| february 10, 2006 \| philadelphia wings \| xcel energy center \| w 11-10 \| None \| 7524 \| 4-3 row 8 : 8 \| february 18, 2006 \| @ buffalo bandits \| hsbc arena \| l 9-14 \| None \| 12458 \| 4-4 row 9 : 9 \| march 3, 2006 \| @ toronto rock \| air canada centre \| l 8-13 \| None \| 15830 \| 4-5 row 10 : 10 \| march 4, 2006 \| @ buffalo bandits \| hsbc arena \| w 11-8 \| None \| 10961 \| 5-5 row 11 : 11 \| march 17, 2006 \| @ portland lumberjax \| rose garden \| w 14-12 \| None \| 5487 \| 6-5 row 12 : 12 \| march 24, 2006 \| buffalo bandits \| xcel energy center \| l 11-13 \| None \| 9533 \| 6-6 row 13 : 13 \| april 1, 2006 \| toronto rock \| xcel energy center \| w 10-9 \| None \| 10084 \| 7-6 row 14 : 14 \| april 8, 2006 \| @ rochester knighthawks \| blue cross arena \| l 9-10 \| None \| 10352 \| 7-7 row 15 : 15 \| april 9, 2006 \| san jose stealth \| xcel energy center \| w 9-8 \| ot \| 7044 \| 8-7 row 16 : 16 \| april 15, 2006 \| portland lumberjax \| xcel energy center \| l 8-13 \| None \| 10104 \| 8-8 ] Execute this SQL based on the above table: select count ( * ) where location = 'rose garden'	1
[ header: position \| team \| points \| played \| won \| drawn \| lost \| for \| against \| difference row 1 : 1 \| palestra italia-sp \| 18 \| 9 \| 9 \| 0 \| 0 \| 33 \| 8 \| 25 row 2 : 2 \| auto \| 14 \| 9 \| 7 \| 0 \| 2 \| 25 \| 14 \| 11 row 3 : 3 \| corinthians \| 13 \| 9 \| 6 \| 1 \| 2 \| 26 \| 9 \| 17 row 4 : 4 \| santos \| 11 \| 9 \| 5 \| 1 \| 3 \| 24 \| 17 \| 7 row 5 : 5 \| silex \| 8 \| 9 \| 3 \| 2 \| 4 \| 17 \| 26 \| -9 row 6 : 6 \| sirio \| 7 \| 9 \| 3 \| 1 \| 5 \| 21 \| 20 \| 1 row 7 : 7 \| ypiranga-sp \| 7 \| 9 \| 3 \| 1 \| 5 \| 16 \| 22 \| -6 row 8 : 8 \| portuguesa \| 7 \| 9 \| 2 \| 3 \| 4 \| 17 \| 26 \| -9 row 9 : 9 \| aa sao bento \| 4 \| 9 \| 2 \| 0 \| 7 \| 9 \| 31 \| -22 row 10 : 10 \| sc internacional de sa \| 1 \| 9 \| 0 \| 1 \| 8 \| 9 \| 24 \| -15 ] Execute this SQL based on the above table: select count ( * )	10
[ header: victim(s) \| age \| gender \| date \| type of attack \| location \| details \| source(s) row 1 : daughter of a frontiersman named "bak \| 18 \| ♀ \| summer, 1881 \| defending cows \| northwestern colorado, usa \| encountered a wolf resting on a \| george bird grinnell row 2 : david tobuk \| toddler \| ♂ \| 1900 \| predatory \| koyukuk river, ala \| in the 1920s, tobuk was \| None row 3 : zacarias hugo \| 14 \| ♂ \| 1943 \| possibly rabid \| etivluk river, alaska \| while hunting caribou, zacaria \| None row 4 : pipeline workers \| None \| ♂ \| 1971-1979 \| None \| along the right-of-way for the trans \| there were ten "bites and charges", \| None row 5 : david lawrence \| 7 \| ♂ \| 1976, summer \| prey-testing agonistic charge \| salcha river, alaska, usa \| while his father, roy lawrence, \| None ] Execute this SQL based on the above table: select sum ( age ) where victim(s) in ( 'daughter of a frontiersman named "baker"' , 'david lawrence' )	25.0
[ header: name \| position \| year \| league apps \| league goals \| total apps \| total goals \| notes row 1 : walter langton \| lb / cf \| 1887-1905 \| 45 \| 28 \| 48 \| 48 \| doncaster's longest serving player appearance stats row 2 : tom keetley \| fw \| 1923-1929 \| 231 \| 180 \| 241 \| 186 \| record all time goalscorer. most goals in row 3 : fred emery \| wh \| 1924-1936 \| 417 \| 30 \| 439 \| 32 \| record league appearances manager of doncaster 1936-19 row 4 : paddy mcconnell \| if \| 1925-1930 \| 137 \| 20 \| 143 \| 21 \| the first current doncaster player to represent his country row 5 : syd bycroft \| df \| 1936-1951 \| 333 \| 2 \| 355 \| 2 \| including wartime league matches, he played row 6 : eddie perry \| cf \| 1936-1938 \| 98 \| 44 \| 102 \| None \| welsh international whilst at don row 7 : clarrie jordan \| fw \| 1945-1948 \| 60 \| 48 \| 67 \| 50 \| most doncaster league goals in one season (42 row 8 : charlie williams \| df \| 1948-1959 \| 158 \| 1 \| 174 \| 1 \| famous comedian row 9 : peter doherty \| if \| 1949-1953 \| 103 \| 55 \| 109 \| 58 \| ireland international player and manager of northern row 10 : len graham \| mf \| 1949-1958 \| 312 \| 3 \| 332 \| 3 \| northern ireland international whilst at row 11 : kit lawlor \| if \| 1950-1954 \| 127 \| 47 \| 143 \| 49 \| republic of ireland international whilst row 12 : harry gregg \| gk \| 1952-1957 \| 94 \| 0 \| 99 \| 0 \| northern ireland international whilst at row 13 : alick jeffrey \| fw \| 1954-1956, 1963-1968 \| 262 \| 129 \| 293 \| 140 \| youngest doncaster player (15 years 229 days row 14 : colin douglas \| fw \| 1981-1986, 1988-1993 \| 404 \| 53 \| 444 \| 62 \| record total appearances (not including the wartime row 15 : brian stock \| mf \| 2006-2012 \| 193 \| 18 \| 216 \| 23 \| welsh international whilst at don row 16 : billy sharp \| fw \| 2009-2012, 2014- \| 92 \| 44 \| 96 \| 45 \| record transfer fee paid: £1,150,000 ] Execute this SQL based on the above table: select sum ( league goals )	702.0
[ header: manufacturer \| model \| first flight \| max payload (t) \| cruise (km/h) \| max range (km) \| mtow row 1 : airbus \| a330 mrtt \| 2007 \| 45 \| 860 \| 14,800 \| 223 row 2 : airbus \| a400m \| 2009 \| 37 \| 780 \| 9,300 \| 141 row 3 : alenia \| c-27j spartan \| 2008 \| 11.5 \| 583 \| 5,926 \| 31.8 row 4 : antonov \| an-12 \| 1957 \| 20 \| 777 \| 5,700 \| 61 row 5 : antonov \| an-22 antei \| 1965 \| 80 \| 740 \| 5,000 \| 250 row 6 : antonov \| an-26 \| 1969 \| 5.5 \| 440 \| 2,550 \| 24 row 7 : antonov \| an-32 \| 1976 \| 6.7 \| 480 \| 2,500 \| 26.9 row 8 : antonov \| an-70 \| 1994 \| 47 \| 729 \| 6,600 \| 145 row 9 : antonov \| an-72 \| 1977 \| 7.5 \| 600 \| 4,800 \| 33 row 10 : antonov \| an-124 ruslan \| 1982 \| 150 \| 800-850 \| 5,410 \| 405 row 11 : antonov \| an-225 mriya \| 1988 \| 250 \| 800 \| 15,400 \| 600 row 12 : avic \| y-8 \| 1974 \| 20 \| 550 \| 5,616 \| 61 row 13 : avic \| y-9 \| 2008 \| 25 \| 650 \| 7,800 \| 77 row 14 : avic \| y-20 \| 2013 \| 66 \| 700 \| 7,800 \| 220 row 15 : bell/boeing \| v-22 osprey \| 1989 \| 6.8 \| 396 \| 1,627 \| 27.4 row 16 : boeing \| c-17 globemaster iii \| 1991 \| 77.5 \| 830 \| 4,482 \| 265 row 17 : casa \| c-212 aviocar \| 1971 \| 2.8 \| 315 \| 1,433 \| 8 row 18 : casa/indonesian aerospace \| cn-235 \| 1983 \| 5 \| 509 \| 5,003 \| 15.1 row 19 : casa \| c-295 \| 1998 \| 9.3 \| 481 \| 5,630 \| 23.2 row 20 : de havilland canada \| c-7 caribou \| 1958 \| 3.6 \| 348 \| 2,103 \| 14.2 row 21 : douglas \| c-47 \| 1943 \| 3 \| 360 \| 2,600 \| 10.5 row 22 : grumman \| c-2 greyhound \| 1964 \| 4.5 \| 465 \| 2,400 \| 24.7 row 23 : embraer \| kc-390 \| 2014 \| 23 \| 900 \| 6,200 \| 72 row 24 : fairchild \| c-123 provider \| 1949 \| 11 \| 367 \| 1,666 \| 27 row 25 : ilyushin \| il-76 \| 1971 \| 47 \| 900 \| 4,400 \| 210 row 26 : ilyushin \| il-112 \| 2011 \| 5.9 \| 550 \| 5,000 \| 20 row 27 : kawasaki \| c-1 \| 1970 \| 11.9 \| 657 \| 1,300 \| 45 row 28 : kawasaki \| xc-2 \| 2010 \| 37.6 \| 890 \| 6,500 \| 120 row 29 : lockheed \| c-5 galaxy \| 1968 \| 122 \| 907 \| 4,445 \| 381 row 30 : lockheed \| c-130 hercules \| 1954 \| 20 \| 540 \| 3,800 \| 70.3 row 31 : lockheed \| c-141 starlifter \| 1963 \| 45 \| 912 \| 9,880 \| 147 row 32 : pzl mielec \| m-28 skytruck \| 1993 \| 2.5 \| 270 \| 1,500 \| 8 row 33 : short brothers \| c-23 sherpa \| 1982 \| 3.2 \| 296 \| 1,239 \| 3.2 row 34 : transport allianz \| transall c-160 \| 1963 \| 16 \| 513 \| 1,850 \| 49.2 row 35 : uac and hal \| uac/hal multirole transport \| 2015 \| 22 \| 830 \| 2,500 \| 68 ] Execute this SQL based on the above table: select min ( max payload (t) )	2.5
[ header: year \| representative \| hometown \| placement in miss nepal \| special awards at miss nepal \| placement in miss pokhara row 1 : 1995 \| rita gurung \| pamee \| 1st runner up \| None \| winner row 2 : 1996 \| binita gurung \| batulichor \| 2nd runner up \| None \| winner row 3 : 1997 \| neelima gurung \| nadipur \| winner \| miss personality \| winner row 4 : 1998 \| sunita ranjit \| lakeside \| None \| None \| winner row 5 : 1999 \| kripa gurung \| tersapatti \| 2nd runner up \| miss photogenic \| winner row 6 : 2004 \| anita gurung \| bajapatan \| 2nd runner up \| miss talent \| miss paschimanchal 2003 row 7 : 2005 \| chandra gurung \| ghorepatan \| None \| None \| None row 8 : 2011 \| madina begum \| pokreli \| None \| miss perseverance \| None row 9 : 2012 \| dilasha gc \| chindata \| None \| None \| None row 10 : 2013 \| sipora gurung \| mahendrapool \| 3rd runner up \| miss talent \| None row 11 : 2014 \| rashmi adhikari \| goripatan \| None \| None \| winner ] Execute this SQL based on the above table: select representative where id > ( select id where representative = 'chandra gurung' ) limit 1	madina begum
[ header: year \| vidhan sabha \| members of legislative assembly \| winning party \| nearest contesting party row 1 : 1951 \| 01st vidhan sab \| shri hari prasad \| sop \| inc row 2 : 1957 \| 02nd vidhan sabha \| shri bhihari lal \| psp \| inc row 3 : 1962 \| 03rd vidhan sab \| shri durga prasad \| inc \| psp row 4 : 1967 \| 04th vidhan sabha \| shri munendra pal singh \| psp \| bjs row 5 : 1969 \| 05th vidhan sab \| shri tej bhah \| bkd \| bjs row 6 : 1974 \| 06th vidhan sabha \| shri tej bhah \| inc \| bjs row 7 : 1977 \| 07th vidhan sabha \| shri munendra pal singh \| jnp \| inc row 8 : 1980 \| 08th vidhan sabha \| shri tej bhah \| inc \| jnp row 9 : 1985 \| 09th vidhan sabha \| shri tej bhah \| inc \| jnp row 10 : 1989 \| 10th vidhan sabha \| shri harish kumar \| jnp \| bjp row 11 : 1991 \| 11th vidhan sabha \| shri ram saran verm \| bjp \| inc row 12 : 1993 \| 12th vidhan sabha \| shri ram saran verm \| bjp \| inc row 13 : 1996 \| 13th vidhan sabha \| shri anish ahemd k \| bsp \| bjp row 14 : 2002 \| 14th vidhan sabha \| shri anish ahemd k \| bsp \| bjp row 15 : 2007 \| 15th vidhan sabha \| shri anish ahemd k \| bsp \| bjp row 16 : 2012 \| 16th vidhan sabha \| shri ram saran verm \| bjp \| inc ] Execute this SQL based on the above table: select vidhan sabha order by id desc limit 1	16th vidhan sabha
[ header: season \| tier \| division \| place row 1 : 1963-86 \| 5 \| regional \| None row 2 : 1986/87 \| 5 \| preferente \| 2nd row 3 : 1987/88 \| 4 \| 3a \| 15th row 4 : 1988/89 \| 4 \| 3a \| 15th row 5 : 1989/90 \| 4 \| 3a \| 17th row 6 : 1990/91 \| 4 \| 3a \| 12th row 7 : 1991/92 \| 4 \| 3a \| 18th row 8 : 1992/93 \| 5 \| preferente \| 1st row 9 : 1993/94 \| 4 \| 3a \| 14th row 10 : 1994/95 \| 4 \| 3a \| 16th row 11 : 1995/96 \| 4 \| 3a \| 19th row 12 : 1996/97 \| 5 \| preferente \| 1st row 13 : 1997/98 \| 4 \| 3a \| 7th row 14 : 1998/99 \| 4 \| 3a \| 18th ] Execute this SQL based on the above table: select count ( tier ) where tier = 0	0
[ header: year \| division \| league \| regular season \| playoffs \| open cup row 1 : 2006 \| 4 \| usl pdl \| 4th, heartland \| did not qualify \| did not qualify row 2 : 2007 \| 4 \| usl pdl \| 2nd, heartland \| conference semifinals \| did not qualify row 3 : 2008 \| 4 \| usl pdl \| 4th, heartland \| did not qualify \| 1st round row 4 : 2009 \| 4 \| usl pdl \| 4th, heartland \| did not qualify \| did not qualify row 5 : 2010 \| 4 \| usl pdl \| 5th, heartland \| did not qualify \| did not qualify row 6 : 2011 \| 4 \| usl pdl \| 5th, heartland \| did not qualify \| did not qualify row 7 : 2012 \| 4 \| usl pdl \| 7th, heartland \| did not qualify \| did not qualify row 8 : 2013 \| 4 \| usl pdl \| 5th, heartland \| did not qualify \| did not qualify ] Execute this SQL based on the above table: select count ( playoffs ) where open cup = '1st round'	1
[ header: district \| counties represented \| delegate \| party \| first elected \| committee row 1 : 1a \| allegany, garrett \| wendell r. beitzel \| republican \| 2006 \| health and government operations row 2 : 1b \| allegany \| kevin kelly \| democratic \| 1986 \| judiciary row 3 : 1c \| allegany, washington \| leroy e. myers, j \| republican \| 2002 \| appropriations row 4 : 2a \| washington \| andrew a. serafini \| republican \| 2008 \| ways and means row 5 : 2b \| washington \| christopher b. shank \| republican \| 1998 \| judiciary row 6 : 2c \| washington \| john p. donoghu \| democratic \| 1990 \| health and government operations row 7 : 3a \| frederick \| galen r. clagett \| democratic \| 2002 \| appropriations row 8 : 3a \| frederick \| sue hecht \| democratic \| 1994 \| economic matters row 9 : 3b \| frederick, washington \| michael hough \| republican \| 2002 \| health and government operations row 10 : 4a \| frederick \| joseph r. bartlet \| republican \| 1998 \| ways and means row 11 : 4a \| frederick \| kelly m. schulz \| republican \| 2011 \| environmental matters row 12 : 4b \| carroll, frederick \| donald b. elliot \| republican \| 1986 \| health and government operations row 13 : 5a \| carroll \| tanya thornton shewell \| republican \| 2004 \| environmental matters row 14 : 5a \| carroll \| nancy r. stocksdale \| republican \| 1994 \| appropriations row 15 : 9b \| carroll \| susan w. krebs \| republican \| 2002 \| ways and means ] Execute this SQL based on the above table: select party group by party order by count ( * ) desc limit 1	republican
[ header: institution \| city \| state \| team name \| affiliation \| enrollment \| home conference row 1 : augustana college (illinois) \| rock island \| illinois \| vikings \| private/lutheran \| 2500 \| cciw row 2 : aurora university \| aurora \| illinois \| spartans \| private/non-sectarian \| 1685 \| northern row 3 : beloit college \| beloit \| wisconsin \| buccaneers \| private/non-sectarian \| 1300 \| midwest row 4 : benedictine university \| lisle \| illinois \| eagles \| private/catholic \| 3282 \| northern row 5 : carthage college \| kenosha \| wisconsin \| red men \| private/lutheran \| 2188 \| cciw row 6 : concordia university wisconsin \| mequon \| wisconsin \| falcons \| private/lutheran \| 1608 \| northern row 7 : university of dubuque \| dubuque \| iowa \| spartans \| private/presbyterian \| 1559 \| iiac row 8 : elmhurst college \| elmhurst \| illinois \| bluejays \| private/united church of christ \| 3400 \| cciw row 9 : fontbonne university \| st. louis \| missouri \| griffins \| private/catholic \| 2924 \| sliac row 10 : college of mount st. josep \| cincinnati \| ohio \| lions \| private/catholic \| 1334 \| hcac row 11 : north central college \| naperville \| illinois \| cardinals \| private/methodist \| 2900 \| cciw ] Execute this SQL based on the above table: select state group by state order by count ( city ) desc limit 1	illinois
[ header: \| name \| date \| location \| county \| description row 1 : 1 \| diamond head \| None \| honolulu \| oahu \| state monument row 2 : 2 \| i'ao valley \| None \| wailuku \| maui \| state monument row 3 : 3 \| kanaha pond \| june 1971 \| kahului \| maui \| bird sanctuary row 4 : 4 \| koʻolau range pali \| None \| None \| oahu \| None row 5 : 5 \| makalawena marsh \| june 1972 \| north kona \| hawaiʻi \| bird sanctuary row 6 : 6 \| mauna kea \| november 1972 \| saddle road \| hawaiʻi \| u.s. state high point row 7 : 7 \| north shore cliffs \| december 1972 \| molokaʻi \| maui \| None ] Execute this SQL based on the above table: select name order by asc limit 1	diamond head
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 1990 \| pan american race walking cup \| xalapa, mexico \| 25th \| 20 km \| 1:48:49 row 2 : 1993 \| central american and caribbean games \| ponce, puerto rico \| 3rd \| 20 km \| 1:29:43 row 3 : 1994 \| central american games \| san salvador, el \| 1st \| 20 km \| 1:27:45 row 4 : 1995 \| pan american games \| mar del plata, argentina \| 3rd \| 20 km \| 1:23:50 row 5 : 1995 \| central american and caribbean championships \| ciudad de guatemala, \| 2nd \| 20 km \| 1:25:10 a row 6 : 1996 \| olympic games \| atlanta, georgia \| dsq \| 20 km \| None row 7 : 1997 \| world race walking cup \| podebrady, czech \| 5th \| 20 km \| 1:18:51 row 8 : 1997 \| central american and caribbean championships \| san juan, puerto \| 1st \| 20 km \| 1:26:24.40 cr row 9 : 1997 \| world championships \| athens, greece \| dsq \| 20 km \| None row 10 : 1997 \| central american games \| san pedro sul \| 1st \| 20 km \| 1:35:45 row 11 : 1998 \| ibero-american championships \| lisbon, portugal \| 2nd \| 20 km \| 1:26:25 row 12 : 1998 \| central american and caribbean games \| maracaibo, venezu \| 3rd \| 20 km \| 1:25:31 row 13 : 1999 \| world championships \| seville, spain \| dsq \| 20 km \| None row 14 : 2000 \| olympic games \| sydney, australia \| 43rd \| 20 km \| 1:31:47 row 15 : 2001 \| central american and caribbean championships \| guatemala city, guate \| 3rd \| 20 km \| 1:29:47 a row 16 : 2003 \| central american and caribbean championships \| st. george's, \| 1st \| 18,000 m \| 1:22:07 row 17 : 2003 \| pan american games \| santo domingo, dominican \| dsq \| 20 km \| None row 18 : 2003 \| pan american games \| santo domingo, dominican \| dnf \| 50 km \| None row 19 : 2003 \| world championships \| paris, france \| dsq \| 20 km \| None row 20 : 2004 \| world race walking cup \| naumburg, germany \| 15th \| 50 km \| 3:56:19 row 21 : 2004 \| olympic games \| athens, greece \| dsq \| 50 km \| None row 22 : 2004 \| central american championships \| managua, nicaragua \| 3rd \| 20 km \| 1:33:20.46 row 23 : 2005 \| central american and caribbean championships \| nassau, bahamas \| 1st \| 20,000 m \| 1:30:38.07 row 24 : 2005 \| world championships \| helsinki, finland \| 12th \| 50 km \| 3:57:56 row 25 : 2006 \| ibero-american championships \| ponce, puerto rico \| None \| 20,000 m \| dq row 26 : 2006 \| central american and caribbean games \| cartagena, colombia \| 5th \| 20 km \| 1:33:00 row 27 : 2007 \| central american championships \| san jose, costa ric \| 3rd \| 20 km \| 1:27:30.42 ] Execute this SQL based on the above table: select competition order by event asc limit 1	pan american race walking cup
[ header: year \| single \| chart positions usa billboard hot dance club play \| chart positions polish charts \| album row 1 : 2008 \| "fall" \| None \| 2 \| natalia lesz row 2 : 2008 \| "power of attraction" \| 24 \| 5 \| natalia lesz row 3 : 2008 \| "miss you" \| None \| None \| natalia lesz row 4 : 2009 \| "cos za cos" \| None \| 1 \| that girl row 5 : 2010 \| "arabesque" \| 53 \| None \| natalia lesz row 6 : 2010 \| "radioactive" \| None \| 107 \| None row 7 : 2010 \| "that girl" \| None \| 7 \| that girl row 8 : 2012 \| "beat of my heart" \| None \| 98 \| that girl ] Execute this SQL based on the above table: select chart positions polish charts where id = 1	2.0
[ header: club \| season \| league apps \| league goals \| fa cup apps \| fa cup goals \| league cup apps \| league cup goals \| other apps \| other goals \| total apps \| total goals row 1 : bristol rovers \| 2000-01 \| 10 \| 2 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 10 \| 2 row 2 : bristol rovers \| 2001-02 \| 31 \| 3 \| 3 \| 0 \| 2 \| 0 \| 3 \| 0 \| 39 \| 3 row 3 : bristol rovers \| 2002-03 \| 9 \| 0 \| 1 \| 0 \| 0 \| 0 \| 1 \| 0 \| 11 \| 0 row 4 : bristol rovers \| total \| 50 \| 5 \| 4 \| 0 \| 2 \| 0 \| 4 \| 0 \| 60 \| 5 row 5 : yeovil town \| 2002-03 \| 13 \| 13 \| 0 \| 0 \| 0 \| 0 \| 2 \| 1 \| 15 \| 14 row 6 : yeovil town \| 2003-04 \| 43 \| 8 \| 3 \| 1 \| 1 \| 0 \| 2 \| 1 \| 49 \| 10 row 7 : yeovil town \| 2004-05 \| 44 \| 3 \| 5 \| 0 \| 2 \| 0 \| 1 \| 0 \| 52 \| 3 row 8 : yeovil town \| 2005-06 \| 36 \| 2 \| 3 \| 0 \| 2 \| 1 \| 1 \| 0 \| 42 \| 3 row 9 : yeovil town \| total \| 136 \| 26 \| 11 \| 1 \| 5 \| 1 \| 6 \| 2 \| 158 \| 30 row 10 : carlisle united \| 2006-07 \| 45 \| 8 \| 1 \| 0 \| 1 \| 0 \| 1 \| 0 \| 48 \| 8 row 11 : carlisle united \| 2007-08 \| 21 \| 1 \| 2 \| 0 \| 2 \| 0 \| 2 \| 2 \| 27 \| 3 row 12 : carlisle united \| 2008-09 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 row 13 : carlisle united \| total \| 66 \| 9 \| 3 \| 0 \| 3 \| 0 \| 3 \| 2 \| 75 \| 11 row 14 : darlington (loan) \| 2008-09 \| 8 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 8 \| 0 row 15 : lincoln city (loan \| 2008-09 \| 9 \| 0 \| 0 \| 0 \| 1 \| 0 \| 1 \| 0 \| 11 \| 0 row 16 : port vale (loan) \| 2008-09 \| 7 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 7 \| 0 row 17 : darlington \| 2009-10 \| 10 \| 2 \| 0 \| 0 \| 0 \| 0 \| 2 \| 0 \| 12 \| 2 row 18 : york city \| 2009-10 \| 5 \| 1 \| 1 \| 0 \| 0 \| 0 \| 3 \| 0 \| 9 \| 1 row 19 : wrexham \| 2010-11 \| 5 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 5 \| 0 row 20 : career total \| career total \| 296 \| 43 \| 19 \| 1 \| 11 \| 1 \| 19 \| 4 \| 345 \| 49 ] Execute this SQL based on the above table: select total goals where club = 'darlington'	2
[ header: township \| fips \| population center \| population \| population density (/mi2) \| population density (/km2) \| land area (mi2) \| land area (km2) \| water area (mi2) \| water area (km2) \| geographic coordinates row 1 : center \| 90735 \| None \| 515 \| 36.8 \| 14.2 \| 13.99 \| 36.23 \| 0.0339 \| 0.0878 \| 35°24′20′′n 92° row 2 : clark \| 90813 \| london \| 2969 \| 115.3 \| 44.6 \| 25.73 \| 66.64 \| 6.0444 \| 15.6549 \| 35°19′45′′n 93° row 3 : convenience \| 90921 \| None \| 933 \| 50.4 \| 19.4 \| 18.53 \| 47.99 \| 0.0942 \| 0.244 \| 35°20′00′′n 92° row 4 : dover \| 91134 \| dover \| 5277 \| 119.1 \| 46 \| 44.29 \| 114.7 \| 0.3637 \| 0.942 \| 35°23′30′′n 93° row 5 : freeman \| 91377 \| None \| 98 \| 0.8 \| 0.3 \| 119.78 \| 310.2 \| 0 \| 0 \| 35°39′10′′n 93° row 6 : galla \| 91407 \| pottsville \| 3523 \| 88.7 \| 34.3 \| 39.71 \| 102.8 \| 1.841 \| 4.7682 \| 35°13′15′′n 93° row 7 : griffin \| 91536 \| None \| 901 \| 26.5 \| 10.2 \| 33.96 \| 87.96 \| 0.1106 \| 0.2865 \| 35°25′30′′n 92° row 8 : illinois \| 91812 \| russellville \| 25841 \| 540.9 \| 208.9 \| 47.77 \| 123.7 \| 6.6022 \| 17.0996 \| 35°17′00′′n 93° row 9 : liberty \| 92181 \| None \| 805 \| 14.2 \| 5.5 \| 56.64 \| 146.7 \| 0.0028 \| 0.0073 \| 35°29′40′′n 93° row 10 : martin \| 92415 \| None \| 1482 \| 23.7 \| 9.2 \| 62.46 \| 161.8 \| 0.3931 \| 1.0181 \| 35°28′25′′n 93° row 11 : phoenix \| 92871 \| None \| 334 \| 26.7 \| 10.3 \| 12.51 \| 32.4 \| 0 \| 0 \| 35°24′30′′n 93° row 12 : smyrna \| 93420 \| None \| 173 \| 2.4 \| 0.9 \| 70.69 \| 183.1 \| 0.0218 \| 0.0565 \| 35°38′10′′n 92° row 13 : valley \| 93765 \| None \| 2776 \| 125.7 \| 48.5 \| 22.09 \| 57.21 \| 0.0144 \| 0.0373 \| 35°20′05′′n 93° ] Execute this SQL based on the above table: select geographic coordinates where fips < ( select fips where geographic coordinates = '35°29′40′′n 93°03′16′′w / 35.49444°n 93.05444°w' ) order by fips desc limit 1	35°17′00′′n 93°07′46′′w / 35.28333°n 93.12944°w
[ header: genre \| year \| title \| role \| episodes \| notes row 1 : film \| 1995 \| timepiece \| khris \| None \| None row 2 : tv series \| 1997 \| nash bridges \| reggie harell \| "dirty tricks" \| 4 episodes total row 3 : film \| 1998 \| around the fire \| trace \| None \| None row 4 : short film \| 1999 \| king of the bingo game \| sonny \| None \| None row 5 : tv series \| 1999 \| nash bridges \| hassam desmond kenner \| "power play" "girl trouble" \| 4 episodes total row 6 : film \| 1999 \| true crime \| wally cartwright \| None \| None row 7 : tv series \| 2000 \| nash bridges \| trumpet player \| "skin trade" \| 4 episodes total row 8 : film \| 2000 \| desi's looking for a new girl \| mother \| None \| None row 9 : film \| 2003 \| kung phooey! \| roy lee \| None \| None row 10 : tv series \| 2004 \| law & order \| ronald gumer \| "hands free" \| 2 episodes total row 11 : film \| 2006 \| freedomland \| male patient \| None \| None row 12 : tv series \| 2006 \| law & order: criminal intent \| sergeant ev sides \| "to the bone" \| 2 episodes total row 13 : tv series \| 2006 \| law & order: trial by jury \| gus \| "eros in the upper eighties" \| None row 14 : tv series \| 2008 \| the big gay sketch show \| None \| None \| 8 episodes; 16 episodes total row 15 : tv series \| 2008 \| law & order \| donnie \| "sweetie" \| 2 episodes total row 16 : film \| 2008 \| miracle at st. anna \| west indian postal customer \| None \| None row 17 : tv series \| 2009 \| great performances \| mr. franklin/m \| "passing strange" \| musical telecast row 18 : tv series \| 2010 \| the big gay sketch show \| None \| None \| 8 episodes; 16 episodes total row 19 : tv series \| 2010 \| law & order: criminal intent \| andre lanier \| "love sick" \| 2 episodes total row 20 : film \| 2012 \| lincoln \| private harold green \| None \| None row 21 : film \| 2012 \| red hook summer \| blessing rowe \| None \| None row 22 : film \| 2013 \| 42 \| lawson bowman \| None \| None row 23 : film \| 2013 \| hairbrained \| finals moderator \| None \| None row 24 : film \| 2013 \| the butler \| freddie fallows \| None \| None row 25 : film \| 2013 \| 400 boys \| talon \| None \| None ] Execute this SQL based on the above table: select year where role = 'sonny'	1999
[ header: release date \| album \| catalog number \| chart position \| notes row 1 : march 5, 1991 \| niji-iro no sneaker \| kida-15 \| 43 \| single row 2 : march 21, 1991 \| half and half \| kics-100 \| 45 \| album row 3 : march 5, 1992 \| whatever \| kics-176 \| 18 \| album row 4 : june 24, 1992 \| yume wo dakishimet \| kida-42 \| 90 \| single - magical princess minky momo theme row 5 : august 5, 1992 \| haruneko fushigi t \| kida-45 \| 49 \| single - all purpose cultural cat girl nuku row 6 : march 24, 1993 \| our goody day...bokura no good day \| kida-54 \| 54 \| single row 7 : august 23, 1993 \| shamrock \| kics-345 \| 12 \| album row 8 : may 25, 1994 \| until strawberry sherbet \| kida-81 \| 42 \| single - contains themes for bakuret row 9 : november 3, 1994 \| touch and go!! \| kida-90 \| 37 \| single - contain themes for the show blue seed row 10 : december 21, 1994 \| pulse \| tycy-5413 \| 84 \| single (re-release) row 11 : july 2, 1994 \| sphere \| kics-430 \| 8 \| album row 12 : july 21, 1995 \| midnight blue \| kida-108 \| 27 \| single - slayers the motion picture row 13 : december 6, 1995 \| going history \| kida-124 \| 25 \| single - slayers extra theme row 14 : may 22, 1996 \| kagirinai yokubou \| kida-134 \| 20 \| single - slayers special ova row 15 : october 23, 1996 \| successful mission \| kida-138 \| 7 \| single - contains themes for saber row 16 : april 23, 1997 \| don't be discouraged \| kida-148 \| 4 \| single - slayers try ending row 17 : august 6, 1997 \| iravati \| kics-640 \| 5 \| album row 18 : february 4, 1998 \| fine colorday \| kida-158 \| 9 \| single - contains themes for the show all purpose row 19 : september 4, 1998 \| a house cat \| kida-165 \| 6 \| single - contains themes to the show all purpose row 20 : october 10, 1998 \| proof of myself \| kida-170 \| 9 \| single saber marionette j row 21 : june 21, 2000 \| vintage a \| kics-810 \| 4 \| greatest hits compilation row 22 : october 25, 2000 \| unsteady \| kida-204 \| 14 \| single - contains themes from muteki row 23 : july 21, 2001 \| maemuki roketto \| zmcp-1259 \| 62 \| pocket monsters 12th ending single row 24 : august 29, 2001 \| over soul \| kicm-3016 \| 7 \| single - shaman king themes row 25 : december 5, 2001 \| feel well \| kicm-3020 \| 11 \| single - slayers premium theme row 26 : april 24, 2002 \| treat or goblins \| kicm-3030 \| 19 \| single - magical shopping arcade abenob row 27 : june 26, 2002 \| feel well \| kics-955 \| 7 \| album row 28 : september 25, 2002 \| koibumi \| kicm-3035 \| 7 \| single row 29 : september 26, 2003 \| makenaide makenaide \| kicm-1083 \| 8 \| single - contains the themes for hayashi ] Execute this SQL based on the above table: select chart position where chart position = 20	20
[ header: season \| tier \| division \| pos. \| notes row 1 : 2003-04 \| 1 \| division de honor \| 1st \| league champion row 2 : 2004-05 \| 1 \| division de honor \| 2nd \| cup champion row 3 : 2005-06 \| 1 \| division de honor \| 3rd \| None row 4 : 2006-07 \| 1 \| division de honor \| 3rd \| None row 5 : 2007-08 \| 1 \| division de honor \| 1st \| league champion row 6 : 2008-09 \| 1 \| division de honor \| 3rd \| None row 7 : 2009-10 \| 1 \| division de honor \| 2nd \| None row 8 : 2010-11 \| 1 \| division de honor \| 2nd \| None row 9 : 2011-12 \| 1 \| division de honor \| 9th \| relegated row 10 : 2012-13 \| 3 \| primera nacional \| 1st \| None row 11 : 2013-14 \| 3 \| primera nacional \| None \| None ] Execute this SQL based on the above table: select pos. order by tier desc limit 1	1st
[ header: date \| championship \| location \| category \| surface \| prev. result \| prev. points \| new points \| outcome row 1 : 29 december 2013- 5 janu \| brisbane international \| brisbane (aus) \| wta premier \| hard \| sf \| 200 \| 305 \| final lost to serena williams row 2 : 14 january 2014- 27 jan \| australian open \| melbourne (aus) \| grand slam \| hard \| w \| 2000 \| 430 \| quarter-finals lost to agnies row 3 : 10 february 2014- 16 february \| qatar total open \| doha (qat) \| wta premier 5 \| hard \| w \| 900 \| 0 \| withdrew due to left foot injury row 4 : 3 march 2014- 16 march 2014 \| indian wells \| indian wells (usa) \| wta premier mandatory \| hard \| qf \| 250 \| 45 \| second round lost to lauren davis row 5 : 17 march 2013- 30 march 2014 \| sony open tennis \| miami (usa) \| wta premier mandatory \| hard \| dnp \| 0 \| 0 \| withdrew due to left foot injury row 6 : 5 may 2014- 11 may 2014 \| mutua madrid masters \| madrid (esp) \| wta premier mandatory \| clay \| 2r \| 60 \| None \| pending row 7 : 12 may 2014- 18 may 2014 \| internazionali bnl \| rome (ita) \| wta premier 5 \| clay \| f \| 700 \| None \| pending row 8 : 25 may 2014- 8 june 2014 \| french open \| paris (fra) \| grand slam \| clay \| sf \| 900 \| None \| pending row 9 : 23 june 2014- 6 july \| wimbledon \| london (gbr) \| grand slam \| grass \| 2r \| 100 \| None \| pending row 10 : 4 august 2014- 10 august 2014 \| rogers cup \| toronto (can) \| wta premier 5 \| hard \| dnp \| 0 \| None \| pending row 11 : 11 august 2014- 17 august 2014 \| western and southern open \| cincinnati (usa) \| wta premier 5 \| hard \| w \| 900 \| None \| pending row 12 : 25 august 2014- 8 september 2014 \| us open \| new york (usa) \| grand slam \| hard \| f \| 1400 \| None \| pending row 13 : 22 september 2014- 27 september 2014 \| toray pan pacific open \| wuhan (chn) \| wta premier 5 \| hard \| 2r \| 60 \| None \| pending row 14 : 27 september 2014- 5 octo \| china open \| beijing (chn) \| wta premier mandatory \| hard \| 1r \| 5 \| None \| pending row 15 : 20 october 2013- 26 \| wta tour championships \| singapore (sin) \| wta tour championships \| hard (i) \| rr \| 400 \| None \| pending ] Execute this SQL based on the above table: select surface group by surface order by count ( * ) desc limit 1	hard
[ header: \| name \| nation \| points \| games \| pts/game row 1 : 1 \| karen andrew \| england \| 44 \| 5 \| 8.8 row 2 : 2 \| daniella waterman \| england \| 40 \| 5 \| 8 row 3 : 3 \| christelle le duff \| france \| 33 \| 5 \| 6.6 row 4 : 4 \| charlotte barras \| england \| 30 \| 5 \| 6 row 5 : 5 \| naomi thomas \| wales \| 25 \| 5 \| 5 row 6 : 6 \| susan day \| england \| 20 \| 5 \| 4 row 7 : 7 \| lucy millard \| scotland \| 20 \| 5 \| 4 row 8 : 8 \| veronica schiavon \| italy \| 19 \| 4 \| 4.75 row 9 : 9 \| estelle sartini \| france \| 17 \| 5 \| 3.4 row 10 : 10 \| margaret alphonsie \| england \| 15 \| 5 \| 3 row 11 : 11 \| fanny horta \| france \| 15 \| 5 \| 3 row 12 : 12 \| jeannette feighery \| ireland \| 15 \| 5 \| 3 row 13 : 13 \| non evans \| wales \| 14 \| 3 \| 4.67 row 14 : 14 \| lynsey harley \| scotland \| 12 \| 2 \| 6 row 15 : 15 \| delphine plantet \| france \| 10 \| 5 \| 2 row 16 : 16 \| joanne o'sullivan \| ireland \| 10 \| 5 \| 2 row 17 : 17 \| katy mclean \| england \| 9 \| 3 \| 3 row 18 : 18 \| michela tondinelli \| italy \| 6 \| 5 \| 1.2 row 19 : 19 \| georgia stevens \| england \| 5 \| 5 \| 1 row 20 : 20 \| mel berry \| wales \| 5 \| 5 \| 1 ] Execute this SQL based on the above table: select nation where nation < ( select nation where nation = 'wales' ) order by nation desc limit 1	scotland
[ header: bridge name \| location \| year completed \| total length \| carries row 1 : old youngs bay bridge \| astoria, oregon \| 1921 \| 1,766.2 feet (538.3 m \| u.s. route 101 row 2 : oregon city bridge \| oregon city, oregon \| 1922 \| 745 feet (227 m) \| oregon route 43 row 3 : dry canyon creek bridge \| near rowena, oregon \| 1922 \| 101.1 ft \| u.s. route 30 row 4 : winchester bridge \| winchester, oregon \| 1923 \| 884 feet \| oregon route 99 row 5 : lewis and clark river bridge \| astoria, oregon \| 1924 \| 828 feet \| u.s. route 101 row 6 : ellsworth street bridge \| albany, oregon \| 1925 \| 1,090 feet \| u.s. route 20 row 7 : rocky creek bridge \| lincoln county, oregon \| 1927 \| 360 feet \| u.s. route 101 row 8 : depoe bay bridge \| depoe bay, oregon \| 1927 \| 312 feet \| u.s. route 101 row 9 : crooked river high bridge \| jefferson county, oregon \| 1926 \| 464 feet \| u.s. route 97 row 10 : big creek bridge \| lane county, oregon \| 1931 \| 180 feet \| u.s. route 101 row 11 : ten mile creek bridge \| near yachats, oregon \| 1931 \| 180 feet \| u.s. route 101 row 12 : wilson river bridge \| tillamook county, oregon \| 1931 \| 180 feet \| u.s. route 101 row 13 : rogue river bridge \| grants pass, oregon \| 1931 \| 550 feet \| redwood highway row 14 : cape creek bridge \| near heceta head \| 1932 \| 619 feet (188.6 m) \| u.s. route 101 row 15 : isaac lee patterson bridge \| gold beach, oregon \| 1932 \| 1,898 feet (578.5 m) \| u.s. route 101 row 16 : john mcloughlin bridge \| oregon city, oregon \| 1933 \| 720 feet \| oregon route 99e row 17 : umpqua river bridge \| reedsport, oregon \| 1936 \| 2,206 feet \| u.s. route 101 row 18 : siuslaw river bridge \| florence, oregon \| 1936 \| 1,568 feet \| u.s. route 101 row 19 : alsea bay bridge \| waldport, oregon \| 1936 \| 3,028 feet \| u.s. route 101 row 20 : yaquina bay bridge \| newport, oregon \| 1936 \| 3,223 feet (982 m) \| u.s. route 101 row 21 : coos bay bridge \| north bend, oregon \| 1936 \| 5,305 feet (1.6 km) \| u.s. route 101 ] Execute this SQL based on the above table: select location order by id desc limit 1	north bend, oregon
[ header: name \| type \| technologies \| author \| presented / last updated \| licence \| homepage row 1 : abyss \| (large) genomes \| solexa, solid \| simpson, j. et \| 2008 / 2011 \| nc-a \| link row 2 : amos \| genomes \| sanger, 454 \| salzberg, s. et \| 2002 / 2008 \| os \| link row 3 : arapan-m \| medium genomes (e.g. e \| all \| sahli, m. \| 2011 / 2012 \| os \| link row 4 : celera wga assembler \| (large) genomes \| sanger, 454, solexa \| myers, g. et al \| 2004 / 2010 \| os \| link row 5 : clc genomics workbench \| genomes \| sanger, 454, solexa, solid \| clc bio \| 2008 / 2010 / 2011 \| c \| link row 6 : euler-sr \| genomes \| 454, solexa \| chaisson, mj. e \| 2008 \| nc-a \| link row 7 : forge \| (large) genomes, est, metagen \| 454, solexa, solid, sanger \| platt, dm, evers, \| 2010 \| os \| link row 8 : idba (iterative de \| (large) genomes \| sanger,454,solexa \| yu peng, henry \| 2010 \| (c / nc-a?) \| link row 9 : pasha \| (large) genomes \| illumina \| liu, schmidt, \| 2011 \| os \| link row 10 : tigr assembler \| genomic \| sanger \| None \| 1995 / 2003 \| os \| link row 11 : seqman ngen \| (large) genomes, exomes, \| illumina, abi solid, roch \| dnastar \| 2007 / 2011 \| c \| link row 12 : sopra \| genomes \| illumina, solid, sanger, 4 \| dayarian, a. et al \| 2010 / 2011 \| os \| link row 13 : sparseassembler \| (large) genomes \| illumina, 454, ion torrent \| ye, c. et \| 2012 / 2012 \| os \| link row 14 : staden gap4 package \| bacs (, small genomes?) \| sanger \| staden et al \| 1991 / 2008 \| os \| link row 15 : taipan \| (small) genomes \| illumina \| schmidt, b. e \| 2009 \| os \| link ] Execute this SQL based on the above table: select count ( licence ) where author in ( 'ye, c. et al' , 'simpson, j. et al' )	2
[ header: year \| title \| album \| us r&b \| us pop \| us dance row 1 : 1989 \| "talk to myself"/sweet memories \| adventures in paradise a \| 4 \| 49 \| 18 row 2 : 1989 \| "promises, promises"/lover \| adventures in paradise a \| 7 \| None \| None row 3 : 1990 \| "one girl"/lover come back \| adventures in paradise a \| 31 \| None \| None row 4 : 1991 \| "i'm dreamin'" \| new jack city soundtrack \| 1 \| 89 \| 16 row 5 : 1991 \| "i wanna b ure lover" \| f.s. effect featuring christoph \| 52 \| None \| None row 6 : 1992 \| "all i see" \| changes \| 19 \| None \| 46 row 7 : 1993 \| "every little thing u do" \| changes \| 7 \| 75 \| None row 8 : 1993 \| "come go with me" \| changes \| 74 \| None \| None row 9 : 1995 \| "dance 4 me" \| not a perfect man \| 25 \| None \| None row 10 : 1995 \| "if you say" \| not a perfect man \| 91 \| None \| None ] Execute this SQL based on the above table: select min ( year ) where title not null	1989
[ 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 school order by last final limit 1	galway grammar school
[ header: outcome \| no. \| date \| tournament \| surface \| partner \| opponents in the final \| score in the final row 1 : runner-up \| 1 \| 1986 \| toronto indoor, canada \| carpet \| danie visser \| wojtek fibak joakim \| 3-6, 6-7 row 2 : winner \| 1 \| 1986 \| milan, italy \| carpet \| colin dowdeswell \| brian levine laurie warder \| 6-3, 4-6, 6-1 row 3 : runner-up \| 2 \| 1986 \| atlanta, u.s \| carpet \| danie visser \| andy kohlberg robert van \| 2-6, 3-6 row 4 : winner \| 2 \| 1986 \| bristol, england \| grass \| danie visser \| mark edmondson wally masur \| 6-7, 7-6, 12-10 row 5 : runner-up \| 3 \| 1986 \| cincinnati, u.s \| hard \| danie visser \| mark kratzmann kim warwick \| 3-6, 4-6 row 6 : runner-up \| 4 \| 1986 \| tel aviv, israel \| hard \| danie visser \| john letts peter lund \| 3-6, 6-3, 3-6 row 7 : runner-up \| 5 \| 1987 \| philadelphia, u.s \| carpet \| danie visser \| sergio casal emilio s \| 6-3, 1-6, 6-7 ] Execute this SQL based on the above table: select partner where tournament = 'tel aviv, israel'	danie visser
[ header: \| name on the register \| date listed \| location \| city or town \| summary row 1 : 40 \| highland park general hospital \| october 31, 1985 (#850 \| 357 glendale ave. \| highland park \| the highland park general hospital is a ] Execute this SQL based on the above table: select count ( location )	1
[ header: rank \| wrestler \| no. of reigns \| combined days row 1 : 1 \| lou thesz \| 3 \| 3749 row 2 : 2 \| ric flair \| 8 \| 3103 row 3 : 3 \| harley race \| 7 \| 1799 row 4 : 4 \| dory funk, jr \| 1 \| 1563 row 5 : 5 \| dan severn \| 2 \| 1559 row 6 : 6 \| gene kiniski \| 1 \| 1131 row 7 : 7 \| adam pearce \| 5 \| 1078 row 8 : 8 \| jeff jarrett \| 6 \| 1006 row 9 : 9 \| pat o'connor \| 1 \| 903 row 10 : 10 \| jack brisco \| 2 \| 866 row 11 : 11 \| orville brown \| 1 \| 692 row 12 : 12 \| buddy rogers \| 1 \| 573 row 13 : 13 \| blue demon, jr \| 1 \| 505 row 14 : 14 \| naoya ogawa \| 2 \| 469 row 15 : 15 \| terry funk \| 1 \| 424 row 16 : 16 \| dick hutton \| 1 \| 421 row 17 : 17 \| rob conway \| 1 \| 294 row 18 : 18 \| christian cage \| 2 \| 245 row 19 : 19 \| whipper billy watson \| 1 \| 239 row 20 : 20 \| sting \| 2 \| 216 row 21 : 21 \| a.j. styles \| 3 \| 196 row 22 : 22 \| mike rapada \| 2 \| 176 row 23 : 23 \| steve corino \| 1 \| 175 row 24 : 24 \| colt cabana \| 2 \| 152 row 25 : 25 \| barry windham \| 1 \| 147 row 26 : 26 \| masahiro chono \| 1 \| 145 row 27 : 27 \| kahagas \| 1 \| 134 row 28 : 28 \| ron killings \| 2 \| 119 row 29 : 29 \| dusty rhodes \| 3 \| 107 row 30 : 30 \| chris candido \| 1 \| 97 row 31 : 31 \| raven \| 1 \| 88 row 32 : 32 \| satoshi kojima \| 1 \| 159 row 33 : 33 \| shinya hashimoto \| 1 \| 84 row 34 : 34 \| the sheik \| 1 \| 79 row 35 : 35 \| ricky steamboat \| 1 \| 76 row 36 : 36 \| ron garvin \| 1 \| 62 row 37 : 37 \| abyss \| 1 \| 56 row 38 : 39 \| ken shamrock \| 1 \| 49 row 39 : 39 \| brent albright \| 1 \| 49 row 40 : 40 \| the great muta \| 1 \| 48 row 41 : 41 \| sabu \| 1 \| 38 row 42 : 42 \| giant baba \| 3 \| 19 row 43 : 43 \| kerry von erich \| 1 \| 18 row 44 : 44 \| gary steele \| 1 \| 7 row 45 : 45 \| tommy rich \| 1 \| 4 row 46 : 46 \| rhino \| 1 \| 2 row 47 : 47 \| shane douglas \| 1 \| <1 ] Execute this SQL based on the above table: select wrestler order by rank desc limit 1	shane douglas
[ header: season \| series \| team \| races \| wins \| poles \| fast laps \| points \| pos. row 1 : 2001 \| formula one \| prost \| None \| None \| None \| None \| None \| test driver row 2 : 2001 \| formula 3000 international \| gd racing \| 4 \| 0 \| 0 \| 0 \| 0 \| nc row 3 : 2001 \| world series by nissan \| gd racing \| 6 \| 0 \| 0 \| 1 \| 51 \| 9th row 4 : 2002 \| world series by nissan \| gd racing \| 6 \| 0 \| 0 \| 0 \| 30 \| 13th row 5 : 2003 \| world series by nissan \| gd racing \| 2 \| 0 \| 0 \| 0 \| 0 \| nc row 6 : 2006 \| formula one \| renault \| None \| None \| None \| None \| None \| test driver row 7 : 2007-08 \| a1 grand prix \| a1 team france \| 2 \| 0 \| 0 \| 0 \| 0 \| 4th ] Execute this SQL based on the above table: select count ( team ) where series = 11	0
[ header: name of place \| number of counties \| principal county \| lower zip code row 1 : yager junction \| 1 \| humboldt county \| None row 2 : yale \| 1 \| riverside county \| 92544 row 3 : yankee hill \| 1 \| butte county \| 95965 row 4 : yankee hill \| 1 \| tuolumne county \| None row 5 : yankee jims \| 1 \| placer county \| 95713 row 6 : yarmouth \| 1 \| san joaquin county \| None row 7 : yellowjacket \| 1 \| tehama county \| None row 8 : yerba buena island \| 1 \| san francisco county \| None row 9 : yermo \| 1 \| san bernardino county \| 92398 row 10 : yettem \| 1 \| tulare county \| 93670 row 11 : ygnacio valley \| 1 \| contra costa county \| 94598 row 12 : yokohl \| 1 \| tulare county \| None row 13 : yolano \| 1 \| solano county \| 95620 row 14 : yolo \| 1 \| yolo county \| 95697 row 15 : yontocket \| 1 \| del norte county \| None row 16 : yorba \| 1 \| los angeles county \| 91767 row 17 : yorba linda \| 1 \| orange county \| 92686 row 18 : york \| 1 \| los angeles county \| 90050 row 19 : yorkville \| 1 \| mendocino county \| 95494 row 20 : yosemite forks \| 1 \| madera county \| None row 21 : yosemite junction \| 1 \| tuolumne county \| 95389 row 22 : yosemite lakes \| 1 \| madera county \| None row 23 : yosemite lakes park \| 1 \| madera county \| None row 24 : yosemite lodge \| 1 \| mariposa county \| 95389 row 25 : yosemite national park \| 3 \| madera county \| 95389 row 26 : yosemite national park \| 3 \| mariposa county \| 95389 row 27 : yosemite national park \| 3 \| tuolumne county \| 95389 row 28 : yosemite national park \| 1 \| mariposa county \| 95389 row 29 : yosemite valley \| 1 \| mariposa county \| None row 30 : yosemite village \| 1 \| mariposa county \| None row 31 : you bet \| 1 \| nevada county \| None row 32 : youngstown \| 1 \| san joaquin county \| None row 33 : yountville \| 1 \| napa county \| 94599 row 34 : yreka \| 1 \| siskiyou county \| 96097 row 35 : yreka city \| 1 \| siskiyou county \| 96097 row 36 : yuba city \| 1 \| sutter county \| 95991 row 37 : yuba city farm labor center \| 1 \| sutter county \| 95991 row 38 : yuba pass \| 1 \| nevada county \| None row 39 : yuba-sutter area \| 2 \| sutter county yuba county \| None row 40 : yucaipa \| 1 \| san bernardino county \| 92399 row 41 : yucca inn \| 1 \| san bernardino county \| None row 42 : yucca valley \| 1 \| san bernardino county \| 92284 row 43 : yurok indian reservation \| 2 \| del norte county \| 95546 ] Execute this SQL based on the above table: select name of place order by lower zip code limit 1	yager junction
[ header: team \| constructor \| motorcycle \| tyres \| no \| rider \| rounds row 1 : camel yamaha team \| yamaha \| yamaha yzr-m1 \| m \| 5 \| colin edwards \| all row 2 : camel yamaha team \| yamaha \| yamaha yzr-m1 \| m \| 46 \| valentino rossi \| all row 3 : konica minolta honda \| honda \| honda rc211v \| m \| 6 \| makoto tamada \| all row 4 : tech 3 yamaha \| yamaha \| yamaha yzr-m1 \| d \| 7 \| carlos checa \| all row 5 : tech 3 yamaha \| yamaha \| yamaha yzr-m1 \| d \| 77 \| james ellison \| all row 6 : ducati marlboro team \| ducati \| ducati desmosedici gp \| b \| 15 \| sete gibernau \| 1-7, 10-11, 13-16 row 7 : ducati marlboro team \| ducati \| ducati desmosedici gp \| b \| 65 \| loris capirossi \| all row 8 : ducati marlboro team \| ducati \| ducati desmosedici gp \| b \| 66 \| alex hofmann \| 8-9, 12 row 9 : ducati marlboro team \| ducati \| ducati desmosedici gp \| b \| 12 \| troy bayliss \| 17 row 10 : kawasaki racing team \| kawasaki \| kawasaki ninja z \| b \| 17 \| randy de puniet \| all row 11 : kawasaki racing team \| kawasaki \| kawasaki ninja z \| b \| 56 \| shinya nakano \| all row 12 : kawasaki racing team \| kawasaki \| kawasaki ninja z \| b \| 8 \| naoki matsudo \| 15 row 13 : rizla suzuki motogp \| suzuki \| suzuki gsv-r \| b \| 21 \| john hopkins \| all row 14 : rizla suzuki motogp \| suzuki \| suzuki gsv-r \| b \| 71 \| chris vermeulen \| all row 15 : repsol honda team \| honda \| honda rc211v \| m \| 26 \| dani pedrosa \| all row 16 : repsol honda team \| honda \| honda rc211v \| m \| 69 \| nicky hayden \| all row 17 : honda lcr \| honda \| honda rc211v \| m \| 27 \| casey stoner \| all row 18 : pramac d'antin moto \| ducati \| ducati desmosedici gp \| d \| 30 \| jose luis cardoso \| all row 19 : pramac d'antin moto \| ducati \| ducati desmosedici gp \| d \| 66 \| alex hofmann \| 1-7, 10-11, 13-17 row 20 : pramac d'antin moto \| ducati \| ducati desmosedici gp \| d \| 22 \| ivan silva \| 8-9, 12 row 21 : fortuna honda \| honda \| honda rc211v \| m \| 24 \| toni elias \| 1-8, 10-17 row 22 : fortuna honda \| honda \| honda rc211v \| m \| 33 \| marco melandri \| all row 23 : fortuna honda \| honda \| honda rc211v \| m \| 84 \| michel fabrizio \| 9 ] Execute this SQL based on the above table: select ( select count ( * ) where no = 46 ) - ( select count ( * ) where no = 46 )	0
[ header: round \| round \| circuit \| date \| pole position \| fastest lap \| winning rider row 1 : 1 \| r1 \| jerez \| 18 march \| raymond roche \| stephane mertens \| raymond roche row 2 : 1 \| r2 \| jerez \| 18 march \| raymond roche \| raymond roche \| raymond roche row 3 : 2 \| r1 \| donington \| 16 april \| giancarlo falappa \| rob phillis \| fred merkel row 4 : 2 \| r2 \| donington \| 16 april \| giancarlo falappa \| raymond roche \| giancarlo falappa row 5 : 3 \| r1 \| hungaroring \| 30 april \| malcolm campbell \| raymond roche \| fred merkel row 6 : 3 \| r2 \| hungaroring \| 30 april \| malcolm campbell \| fred merkel \| raymond roche row 7 : 4 \| r1 \| hockenheim \| 6 may \| raymond roche \| fred merkel \| fred merkel row 8 : 4 \| r2 \| hockenheim \| 6 may \| raymond roche \| raymond roche \| stephane mertens row 9 : 5 \| r1 \| mosport \| 3 june \| giancarlo falappa \| raymond roche \| raymond roche row 10 : 5 \| r2 \| mosport \| 3 june \| giancarlo falappa \| jamie james \| raymond roche row 11 : 6 \| r1 \| brainerd \| 10 june \| doug chandler \| doug chandler \| stephane mertens row 12 : 6 \| r2 \| brainerd \| 10 june \| doug chandler \| fabrizio pirovano \| doug chandler row 13 : 7 \| r1 \| osterreichring \| 1 july \| stephane mertens \| rob mcelnea \| fabrizio pirovano row 14 : 7 \| r2 \| osterreichring \| 1 july \| stephane mertens \| stephane mertens \| stephane mertens row 15 : 8 \| r1 \| sugo \| 26 august \| raymond roche \| raymond roche \| raymond roche row 16 : 8 \| r2 \| sugo \| 26 august \| raymond roche \| peter goddard \| doug chandler row 17 : 9 \| r1 \| le mans \| 9 september \| baldassarre monti \| raymond roche \| raymond roche row 18 : 9 \| r2 \| le mans \| 9 september \| baldassarre monti \| jamie james \| raymond roche row 19 : 10 \| r1 \| monza \| 7 october \| baldassarre monti \| rob phillis \| fabrizio pirovano row 20 : 10 \| r2 \| monza \| 7 october \| baldassarre monti \| rob phillis \| fabrizio pirovano row 21 : 11 \| r1 \| shah alam \| 4 november \| rob phillis \| fabrizio pirovano \| fabrizio pirovano row 22 : 11 \| r2 \| shah alam \| 4 november \| rob phillis \| raymond roche \| fabrizio pirovano row 23 : 12 \| r1 \| phillip island \| 11 november \| peter goddard \| fabrizio pirovano \| peter goddard ] Execute this SQL based on the above table: select winning rider where round = 1	raymond roche, raymond roche
[ header: year \| vote % \| place \| seats \| place \| cabinet row 1 : 1945 \| None \| None \| 25 \| 1st \| yes row 2 : 1948 \| None \| None \| 22 \| 1st \| yes row 3 : 1951 \| None \| None \| 21 \| 1st \| yes row 4 : 1954 \| 42.4 \| 1st \| 26 \| 1st \| yes row 5 : 1959 \| 36.9 \| 1st \| 21 \| 1st \| yes row 6 : 1964 \| 33.3 \| 2nd \| 22 \| 1st \| yes row 7 : 1968 \| 35.2 \| 1st \| 21 \| 1st \| yes row 8 : 1974 \| 27.6 \| 2nd \| 18 \| 1st \| no row 9 : 1979 \| 34.5 \| 1st \| 24 \| 1st \| yes row 10 : 1984 \| 34.9 \| 1st \| 25 \| 1st \| yes row 11 : 1989 \| 32.4 \| 1st \| 22 \| 1st \| yes row 12 : 1994 \| 30.3 \| 1st \| 21 \| 1st \| yes row 13 : 1999 \| 30.1 \| 1st \| 19 \| 1st \| yes row 14 : 2004 \| 36.1 \| 1st \| 24 \| 1st \| yes row 15 : 2009 \| 38 \| 1st \| 26 \| 1st \| yes row 16 : 2013 \| 33.6 \| 1st \| 23 \| 1st \| no ] Execute this SQL based on the above table: select cabinet where place = '1st' and cabinet in ( 'yes' , 'yes' )	yes, yes, yes, yes, yes, yes, yes, yes, yes, yes
[ header: club \| season \| league apps \| league goals \| cup1 apps \| cup1 goals \| continental2 apps \| continental2 goals \| other3 apps \| other3 goals \| total apps \| total goals row 1 : anzhi makhachkala \| 1999 \| 40 \| 2 \| None \| None \| None \| None \| None \| None \| 40 \| 2 row 2 : anzhi makhachkala \| 2000 \| 30 \| 3 \| None \| None \| None \| None \| None \| None \| 30 \| 3 row 3 : anzhi makhachkala \| 2001 \| 14 \| 0 \| None \| None \| None \| None \| None \| None \| 14 \| 0 row 4 : anzhi makhachkala \| total \| 84 \| 5 \| None \| None \| None \| None \| None \| None \| 84 \| 5 row 5 : cska moscow \| 2001 \| 12 \| 1 \| None \| None \| None \| None \| None \| None \| 12 \| 1 row 6 : cska moscow \| 2002 \| 29 \| 2 \| None \| None \| 2 \| 0 \| None \| None \| 31 \| 2 row 7 : cska moscow \| 2003 \| 28 \| 1 \| None \| None \| 2 \| 0 \| 1 \| 0 \| 31 \| 1 row 8 : cska moscow \| 2004 \| 26 \| 1 \| None \| None \| 10 \| 0 \| 1 \| 0 \| 27 \| 1 row 9 : cska moscow \| 2005 \| 30 \| 1 \| 0 \| 0 \| 15 \| 0 \| None \| None \| 45 \| 1 row 10 : cska moscow \| 2006 \| 30 \| 1 \| 6 \| 0 \| 7 \| 0 \| 1 \| 0 \| 44 \| 1 row 11 : cska moscow \| 2007 \| 27 \| 0 \| 5 \| 0 \| 7 \| 0 \| 1 \| 0 \| 40 \| 0 row 12 : cska moscow \| 2008 \| 23 \| 0 \| 3 \| 0 \| None \| None \| None \| None \| 18 \| 0 row 13 : cska moscow \| 2009 \| 10 \| 0 \| 1 \| 0 \| 6 \| 0 \| 1 \| 0 \| 18 \| 0 row 14 : cska moscow \| 2010 \| 11 \| 0 \| 1 \| 0 \| 6 \| 0 \| 0 \| 0 \| 18 \| 0 row 15 : cska moscow \| 2011-12 \| 13 \| 0 \| 1 \| 0 \| 1 \| 0 \| 0 \| 0 \| 15 \| 0 row 16 : cska moscow \| 2012-13 \| 0 \| 0 \| 1 \| 0 \| 0 \| 0 \| None \| None \| 1 \| 0 row 17 : cska moscow \| 2013-14 \| 1 \| 0 \| 0 \| 0 \| 0 \| 0 \| None \| None \| 1 \| 0 row 18 : cska moscow \| total \| 240 \| 7 \| 1 \| 0 \| 56 \| 0 \| 5 \| 0 \| 302 \| 7 row 19 : career total \| career total \| 324 \| 12 \| 1 \| 0 \| 56 \| 0 \| 5 \| 0 \| 386 \| 12 ] Execute this SQL based on the above table: select count ( club )	19
[ header: year \| round \| position \| matches \| wins \| draws \| losses \| gf \| ga row 1 : 1930 to 1990 \| competed as part of yugoslav \| None \| None \| None \| None \| None \| None \| None row 2 : 1994 \| could not enter \| None \| None \| None \| None \| None \| None \| None row 3 : 1998 \| third place \| 3 \| 7 \| 5 \| 0 \| 2 \| 11 \| 5 row 4 : / 2002 \| group stage \| 23 \| 3 \| 1 \| 0 \| 2 \| 2 \| 3 row 5 : 2006 \| group stage \| 22 \| 3 \| 0 \| 2 \| 1 \| 2 \| 3 row 6 : 2010 \| did not qualify \| None \| None \| None \| None \| None \| None \| None row 7 : 2014 \| qualified \| None \| None \| None \| None \| None \| None \| None row 8 : total \| 4/5 \| None \| 13 \| 6 \| 2 \| 5 \| 15 \| 11 ] Execute this SQL based on the above table: select position where position in ( 'None' , 23 ) order by round limit 1	23
[ header: no. \| song \| singers \| length (m:ss) row 1 : 1 \| kalluri padam \| shankar mahadevan \| 01:32 row 2 : 2 \| iru kangal \| balram, gopika poornima \| 04:49 row 3 : 3 \| sithanna vasal \| s. p. balasubram \| 04:53 row 4 : 4 \| thozha thozha \| karthik \| 03:57 row 5 : 5 \| vidinjakka kannalam \| chitra sivaraman \| 04:20 row 6 : 6 \| mullai poo \| spb charan, ven \| 04:33 row 7 : 7 \| yarum ariya \| pavithra \| 05:16 row 8 : 8 \| salsa - theme music \| instrumental \| 01:33 ] Execute this SQL based on the above table: select song where singers = 'instrumental'	salsa - theme music
[ header: institution \| city \| state \| team name \| affiliation \| enrollment \| home conference row 1 : augustana college (illinois) \| rock island \| illinois \| vikings \| private/lutheran \| 2500 \| cciw row 2 : aurora university \| aurora \| illinois \| spartans \| private/non-sectarian \| 1685 \| northern row 3 : beloit college \| beloit \| wisconsin \| buccaneers \| private/non-sectarian \| 1300 \| midwest row 4 : benedictine university \| lisle \| illinois \| eagles \| private/catholic \| 3282 \| northern row 5 : carthage college \| kenosha \| wisconsin \| red men \| private/lutheran \| 2188 \| cciw row 6 : concordia university wisconsin \| mequon \| wisconsin \| falcons \| private/lutheran \| 1608 \| northern row 7 : university of dubuque \| dubuque \| iowa \| spartans \| private/presbyterian \| 1559 \| iiac row 8 : elmhurst college \| elmhurst \| illinois \| bluejays \| private/united church of christ \| 3400 \| cciw row 9 : fontbonne university \| st. louis \| missouri \| griffins \| private/catholic \| 2924 \| sliac row 10 : college of mount st. josep \| cincinnati \| ohio \| lions \| private/catholic \| 1334 \| hcac row 11 : north central college \| naperville \| illinois \| cardinals \| private/methodist \| 2900 \| cciw ] Execute this SQL based on the above table: select count ( state )	11
[ header: club \| season \| league apps \| league goals \| fa cup apps \| fa cup goals \| league cup apps \| league cup goals \| other apps \| other goals \| total apps \| total goals row 1 : bristol rovers \| 2000-01 \| 10 \| 2 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 10 \| 2 row 2 : bristol rovers \| 2001-02 \| 31 \| 3 \| 3 \| 0 \| 2 \| 0 \| 3 \| 0 \| 39 \| 3 row 3 : bristol rovers \| 2002-03 \| 9 \| 0 \| 1 \| 0 \| 0 \| 0 \| 1 \| 0 \| 11 \| 0 row 4 : bristol rovers \| total \| 50 \| 5 \| 4 \| 0 \| 2 \| 0 \| 4 \| 0 \| 60 \| 5 row 5 : yeovil town \| 2002-03 \| 13 \| 13 \| 0 \| 0 \| 0 \| 0 \| 2 \| 1 \| 15 \| 14 row 6 : yeovil town \| 2003-04 \| 43 \| 8 \| 3 \| 1 \| 1 \| 0 \| 2 \| 1 \| 49 \| 10 row 7 : yeovil town \| 2004-05 \| 44 \| 3 \| 5 \| 0 \| 2 \| 0 \| 1 \| 0 \| 52 \| 3 row 8 : yeovil town \| 2005-06 \| 36 \| 2 \| 3 \| 0 \| 2 \| 1 \| 1 \| 0 \| 42 \| 3 row 9 : yeovil town \| total \| 136 \| 26 \| 11 \| 1 \| 5 \| 1 \| 6 \| 2 \| 158 \| 30 row 10 : carlisle united \| 2006-07 \| 45 \| 8 \| 1 \| 0 \| 1 \| 0 \| 1 \| 0 \| 48 \| 8 row 11 : carlisle united \| 2007-08 \| 21 \| 1 \| 2 \| 0 \| 2 \| 0 \| 2 \| 2 \| 27 \| 3 row 12 : carlisle united \| 2008-09 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 row 13 : carlisle united \| total \| 66 \| 9 \| 3 \| 0 \| 3 \| 0 \| 3 \| 2 \| 75 \| 11 row 14 : darlington (loan) \| 2008-09 \| 8 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 8 \| 0 row 15 : lincoln city (loan \| 2008-09 \| 9 \| 0 \| 0 \| 0 \| 1 \| 0 \| 1 \| 0 \| 11 \| 0 row 16 : port vale (loan) \| 2008-09 \| 7 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 7 \| 0 row 17 : darlington \| 2009-10 \| 10 \| 2 \| 0 \| 0 \| 0 \| 0 \| 2 \| 0 \| 12 \| 2 row 18 : york city \| 2009-10 \| 5 \| 1 \| 1 \| 0 \| 0 \| 0 \| 3 \| 0 \| 9 \| 1 row 19 : wrexham \| 2010-11 \| 5 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 5 \| 0 row 20 : career total \| career total \| 296 \| 43 \| 19 \| 1 \| 11 \| 1 \| 19 \| 4 \| 345 \| 49 ] Execute this SQL based on the above table: select other apps where fa cup apps = 19	19.0
[ header: season \| driver \| equipment \| position \| points \| races \| wins \| second \| third row 1 : 2001 \| modris stelle \| zabel-ayr \| 27 \| 14 \| 10 \| None \| None \| None row 2 : 2002 \| modris stelle \| zabel-ayr \| 23 \| 69 \| 12 \| None \| None \| None row 3 : 2003 \| daniel willemsen \| zabel-vmc \| 1 \| 561 \| 24 \| 13 \| 9 \| None row 4 : 2004 \| daniel willemsen \| zabel-vmc \| 1 \| 572 \| 26 \| 18 \| 4 \| 1 row 5 : 2005 \| kristers sergis \| mth-bsu \| 2 \| 440 \| 22 \| 7 \| 12 \| None row 6 : 2006 \| kristers sergis \| ktm-mefo \| 19 \| 64 \| 4 \| None \| 2 \| 1 row 7 : 2007 \| kristers sergis \| ktm-mefo \| 3 \| 242 \| 16 \| 1 \| 8 \| 1 row 8 : 2008 \| kristers sergis \| ktm-ayr \| 2 \| 434 \| 24 \| 4 \| 12 \| 2 row 9 : 2009 \| nicky pulinx \| zabel-vmc \| 12 \| 229 \| 25 \| None \| None \| None row 10 : 2010 \| maris rupeiks \| ktm-wsp \| 5 \| 423 \| 28 \| 1 \| 4 \| 2 row 11 : 2011 \| maris rupeiks \| zabel-wsp \| 4 \| 316 \| 22 \| 1 \| 4 \| None row 12 : 2012 \| etienne bax \| zabel-wsp \| 2 \| 447 \| 22 \| 9 \| 8 \| 1 row 13 : 2013 \| etienne bax \| zabel-vmc \| 2 \| 513 \| 25 \| 14 \| 6 \| None row 14 : None \| overall 2001 - 2013 \| None \| None \| 4224 \| 250 \| 68 \| 69 \| 8 ] Execute this SQL based on the above table: select position where position in ( 5 , 1 ) order by abs ( driver - equipment ) desc limit 1	1
[ header: numbers tops \| numbers tops \| numbers pre-tops \| name(s) \| dates \| final livery \| operator \| withdrawn \| status row 1 : 86205 \| 86503 \| e3129 \| city of lancaster \| 1979-2003 \| virgin red/black \| virgin west coast \| 10/2003 \| converted to 86701 (08/2009) row 2 : 86208 \| None \| e3141 \| city of chester \| 1979-2000 \| intercity \| ews \| 03/2002 \| scrapped at crewe electric tmd row 3 : 86223 \| None \| e3158 \| hector norwich union \| 1979-1987 1987-2004 \| anglia railways \| fm rail \| 04/2004 \| scrapped at emr kings row 4 : 86225 \| None \| e3164 \| hardwicke \| 1980-2003 \| virgin red/black \| virgin cross-country \| 07/2002 \| scrapped at rotherham (04/ row 5 : 86235 \| None \| e3194 \| novelty harold macmillan crown point \| 1979-1990 1990-1992 1992- \| anglia railways \| 'one' \| 09/2005 \| stored at long marston row 6 : 86246 \| 86505 \| e3149 \| royal anglian regiment \| 1985- \| anglia railways \| 'one' \| 12/2004 \| stored at long marston row 7 : 86251 \| None \| e3183 \| the birmingham post \| 1984-2002 \| virgin red/black \| fm rail \| 10/2002 \| stored at long marston row 8 : 86255 \| 86042 \| e3154 \| penrith beacon \| 1981-1999 \| intercity \| virgin cross-country \| 08/1998 \| scrapped at immingham rft row 9 : 86258 \| 86046 \| e3192 \| talyllyn - the first \| 1984-2001 2001-2002 \| virgin red/black \| virgin cross-country \| 07/2002 \| conversion to battery-electric locomotive cancelled. scrapped row 10 : 86419 \| 86319 \| e3120 \| post haste 150 years of the travelling post \| 1990-1993 \| rail express systems \| ews \| 03/1999 \| scrapped at crewe electric tmd row 11 : 86424 \| 86324 \| e3111 \| None \| None \| nr yellow \| network rail \| 12/2002 \| exported hungary. (08/2013) row 12 : 86501 \| 86608 \| e3180 \| crewe basford hall \| 2000-2000 \| freightliner green \| freightliner \| None \| in service row 13 : 86602 \| 86402 \| e3170 \| None \| None \| freightliner green \| freightliner \| 03/2005 \| scrapped at sandbach car & row 14 : 86605 \| 86405 \| e3185 \| intercontainer \| 1992-1996 \| freightliner green \| freightliner \| None \| in service row 15 : 86611 \| 86411 \| e3171 \| airey neave \| 1983-2003 \| freightliner grey \| freightliner \| 11/2003 \| written-off in norton bridge accident scrapped row 16 : 86614 \| 86414 \| e3145 \| frank hornby \| 1986-2001 \| freightliner green \| freightliner \| None \| in service row 17 : 86627 \| 86427 \| e3110 \| the industrial society \| 1985-1999 \| freightliner green \| freightliner \| None \| in service ] Execute this SQL based on the above table: select numbers tops where name(s) = 'the industrial society'	86627.0
[ 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 camp where 24 mar >= 1690	cheddikulam maha vidyalayam, nelukkulam kalaimahal maha vidyalayam, pampamadhu hostel school, poonathoddam college of education, vavuniya tamil maha vidyalayam (senior)
[ header: year \| party affiliation \| winner \| number of votes \| party affiliation \| loser \| number of votes \| percentage of votes row 1 : 1920 \| republican \| william f. kopp \| 38100 \| democrat \| e.w. mcmanus \| 20977 \| 64% - 36% row 2 : 1930 \| republican \| william f. kopp \| 27053 \| democrat \| max a. conrad \| 15538 \| 63% - 36% row 3 : 1932 \| democrat \| edward c. eich \| 55378 \| republican \| william f. kopp \| 46738 \| 54% - 46% row 4 : 1936 \| democrat \| edward c. eich \| 55721 \| republican \| john n. calhoun \| 53474 \| 51% - 49% row 5 : 1938 \| republican \| thomas e. martin \| 46636 \| democrat \| james p. gaffney \| 33765 \| 58% - 42% row 6 : 1940 \| republican \| thomas e. martin \| 70120 \| democrat \| mrs. zoe \| 46040 \| 60% - 40% row 7 : 1946 \| republican \| thomas e. martin \| 52488 \| democrat \| clair a. williams \| 32849 \| 62% - 38% row 8 : 1948 \| republican \| thomas e. martin \| 70959 \| democrat \| james d. france \| 60860 \| 53% - 46% row 9 : 1950 \| republican \| thomas e. martin \| 70058 \| democrat \| james d. france \| 43140 \| 62% - 38% row 10 : 1954 \| republican \| fred schwengel \| 67128 \| democrat \| john o'connor \| 50577 \| 57% - 43% row 11 : 1960 \| republican \| fred schwengel \| 104737 \| democrat \| walter j. guenther \| 67287 \| 61% - 39% row 12 : 1962 \| republican \| fred schwengel \| 65975 \| democrat \| harold stephens \| 42000 \| 61% - 39% row 13 : 1964 \| democrat \| john r. schmidhauser \| 84042 \| republican \| fred schwengel \| 80697 \| 51% - 49% row 14 : 1966 \| republican \| fred schwengel \| 64795 \| democrat \| john r. schmidhauser \| 60534 \| 51% - 48% row 15 : 1968 \| republican \| fred schwengel \| 91419 \| democrat \| john r. schmidhauser \| 81049 \| 53% - 47% row 16 : 1970 \| republican \| fred schwengel \| 60270 \| democrat \| edward mezvinsky \| 59505 \| 50% - 49% row 17 : 1974 \| democrat \| edward mezvinsky \| 75687 \| republican \| james a. leach \| 63540 \| 54% - 46% row 18 : 1978 \| republican \| james a. leach \| 79940 \| democrat \| richard e. meyers \| 45037 \| 63% - 36% row 19 : 1982 \| republican \| james a. leach \| 89595 \| democrat \| bill gluba \| 61734 \| 59% - 41% row 20 : 1984 \| republican \| james a. leach \| 131182 \| democrat \| kevin ready \| 65293 \| 68% - 33% row 21 : 1986 \| republican \| james a. leach \| 86834 \| democrat \| john r. whitaker \| 43985 \| 66% - 34% ] Execute this SQL based on the above table: select sum ( number of votes ) where loser in ( 'james a. leach' , 'john r. schmidhauser' )	205123.0
[ header: draw \| country \| language \| artist \| song \| english translation \| place \| points row 1 : 1 \| spain \| spanish \| serafin zubiri \| "todo esto es la \| all this is music \| 14 \| 37 row 2 : 2 \| belgium \| french \| morgane \| "nous, on veut des violon \| we want violins \| 20 \| 11 row 3 : 3 \| israel \| hebrew \| dafna dekel \| "ze rak sport" (זה רק \| it's just sport \| 6 \| 85 row 4 : 4 \| turkey \| turkish \| aylin vatankos \| "yaz bitti" \| summer is over \| 19 \| 17 row 5 : 5 \| greece \| greek \| cleopatra \| "olou tou kosmou \| the whole world's hope \| 5 \| 94 row 6 : 6 \| france \| french, antillean creole \| kali \| "monte la rivie" \| go up the river \| 8 \| 73 row 7 : 7 \| sweden \| swedish \| christer bjorkman \| "i morgon ar en annan \| tomorrow is another day \| 22 \| 9 row 8 : 8 \| portugal \| portuguese \| dina \| "amor d'agua fr \| fresh water love \| 17 \| 26 row 9 : 9 \| cyprus \| greek \| evridiki \| "teriazoume" (ταιριαζουμε) \| we hit it off \| 11 \| 57 row 10 : 10 \| malta \| english \| mary spiteri \| "little child" \| None \| 3 \| 123 row 11 : 11 \| iceland \| icelandic \| heart 2 heart \| "nei eða ja" \| no or yes? \| 7 \| 80 row 12 : 12 \| finland \| finnish \| pave maijanen \| "yamma, yamm \| None \| 23 \| 4 row 13 : 13 \| switzerland \| french \| daisy auvray \| "mister music man" \| None \| 15 \| 32 row 14 : 14 \| luxembourg \| luxembourgish \| marion welter & kontin \| "sou frai" \| so free \| 21 \| 10 row 15 : 15 \| austria \| german \| tony wegas \| "zusammen geh'n" \| go together \| 10 \| 63 row 16 : 16 \| united kingdom \| english \| michael ball \| "one step out of time" \| None \| 2 \| 139 row 17 : 17 \| ireland \| english \| linda martin \| "why me?" \| None \| 1 \| 155 row 18 : 18 \| denmark \| danish \| kenny lubcke & lotte \| "alt det som ingen ser" \| all the things that nobody sees \| 12 \| 47 row 19 : 19 \| italy \| italian \| mia martini \| "rapsodia" \| rhapsody \| 4 \| 111 row 20 : 20 \| fr yugoslavia \| serbian \| extra nena \| "ljubim te pes \| i'm kissing you with songs \| 13 \| 44 row 21 : 21 \| norway \| norwegian \| merethe trøan \| "visjoner" \| visions \| 18 \| 23 row 22 : 22 \| germany \| german \| wind \| "traume sind fur alle da" \| dreams are there for everyone \| 16 \| 27 row 23 : 23 \| netherlands \| dutch \| humphrey campbell \| "wijs me de weg" \| show me the way \| 9 \| 67 ] Execute this SQL based on the above table: select count ( * ) where english translation = 'None'	0
[ header: name \| type \| circle \| bench \| formed \| notes row 1 : st gall \| 1401: imperial city \| None \| None \| None \| 1454: associate of the swis row 2 : salm-morchingen \| wild- and rhinegraviate \| upp rhen \| None \| 1607 \| partitioned from salm-kyrburg row 3 : saxe-meissen \| duchy \| upp sax \| pr \| 1485 \| partitioned from saxe-witt row 4 : sayn-altenkirchen \| county \| None \| None \| None \| to saxe-eisenach to row 5 : schonburg (schonburg) \| 1700: hre county 1790: \| upp sax \| None \| None \| 1100s; 1st mention of schon row 6 : schwarzburg-arenstadt \| principality \| None \| None \| 1721: partitioned from schwarzburg \| 1651-1669 and 1681-1716: row 7 : schwarzburg-keula \| principality \| None \| None \| 1721: partitioned from schwarzburg \| 1740: re-annexed row 8 : schweinfurt \| 1254: free imperial town \| franc \| sw \| 1282 \| 791: 1st mention of schw row 9 : seckau \| 1218: bishopric 1218: h \| aust \| None \| 1218 \| None row 10 : solms count of solms, \| county \| None \| None \| 1129 \| 1258: partitioned into solms row 11 : solms-sachsenfeld \| county \| upp rhen \| None \| 1741 \| partitioned from solms-wilden row 12 : stettenfels \| lordship \| None \| None \| None \| None ] Execute this SQL based on the above table: select circle where formed = 1485	upp sax
[ header: week \| date \| opponent \| result \| attendance row 1 : 1 \| september 28, 1952 \| at dallas texans \| w 24-6 \| 17,499 row 2 : 2 \| october 4, 1952 \| at philadelphia eagle \| w 31-7 \| 18,648 row 3 : 3 \| october 12, 1952 \| at cleveland browns \| w 17-9 \| 51,858 row 4 : 4 \| october 19, 1952 \| chicago cardinals \| l 24-23 \| 41,182 row 5 : 5 \| october 26, 1952 \| philadelphia eagles \| l 14-10 \| 21,458 row 6 : 6 \| november 2, 1952 \| at chicago cardinals \| w 28-6 \| 27,195 row 7 : 7 \| november 9, 1952 \| san francisco 49ers \| w 23-14 \| 54,230 row 8 : 8 \| november 16, 1952 \| green bay packers \| l 17-3 \| 26,723 row 9 : 9 \| november 23, 1952 \| at washington redskins \| w 14-10 \| 21,125 row 10 : 10 \| november 30, 1952 \| at pittsburgh steelers \| l 63-7 \| 15,140 row 11 : 11 \| december 7, 1952 \| washington redskins \| l 27-17 \| 21,237 row 12 : 12 \| december 14, 1952 \| cleveland browns \| w 37-34 \| 41,610 ] Execute this SQL based on the above table: select week where opponent = 'at chicago cardinals'	6
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 1998 \| turin marathon \| turin, italy \| 3rd \| marathon \| 2:12:59 row 2 : 2003 \| lisbon marathon \| lisbon, portugal \| 1st \| marathon \| 2:15:31 row 3 : 2004 \| vienna marathon \| vienna, austria \| 3rd \| marathon \| 2:11:24 row 4 : 2004 \| berlin marathon \| berlin, germany \| 5th \| marathon \| 2:09:08 row 5 : 2005 \| world championships \| helsinki, finland \| 18th \| marathon \| 2:16:33 row 6 : 2006 \| paris marathon \| paris, france \| 4th \| marathon \| 2:08:55 row 7 : 2006 \| lisbon marathon \| lisbon, portugal \| 1st \| marathon \| 2:21:08 row 8 : 2007 \| world championships \| osaka, japan \| None \| marathon \| dns ] Execute this SQL based on the above table: select notes where event = 'marathon'	2:12:59, 2:15:31, 2:11:24, 2:09:08, 2:16:33, 2:08:55, 2:21:08, dns
[ header: month \| jan \| feb \| mar \| apr \| may \| jun \| jul \| aug \| sep \| oct \| nov \| dec \| year row 1 : record high °c (°f) \| 15.0 (59) \| 18.0 (64.4) \| 27.0 (80.6) \| 32.0 (89.6) \| 35.0 (95) \| 37.2 (99) \| 39.0 (102.2) \| 37.2 (99) \| 36.1 (97) \| 31.1 (88) \| 26.7 (80.1) \| 22.0 (71.6) \| 39.0 (102.2) row 2 : average high °c (°f) \| -0.6 (30.9) \| 0.8 (33.4) \| 5.2 (41.4) \| 12.4 (54.3) \| 19.4 (66.9) \| 25.0 (77) \| 28.0 (82.4) \| 26.7 (80.1) \| 21.8 (71.2) \| 15.1 (59.2) \| 8.0 (46.4) \| 2.4 (36.3) \| 13.7 (56.7) row 3 : daily mean °c (°f) \| -4.4 (24.1) \| -3.2 (26.2) \| 1.0 (33.8) \| 7.5 (45.5) \| 13.9 (57) \| 19.4 (66.9) \| 22.5 (72.5) \| 21.4 (70.5) \| 16.9 (62.4) \| 10.4 (50.7) \| 4.4 (39.9) \| -1 (30) \| 9.1 (48.4) row 4 : average low °c (°f) \| -8.1 (17.4) \| -7.1 (19.2) \| -3.3 (26.1) \| 2.6 (36.7) \| 8.3 (46.9) \| 13.8 (56.8) \| 16.9 (62.4) \| 16.1 (61) \| 11.9 (53.4) \| 5.7 (42.3) \| 0.7 (33.3) \| -4.3 (24.3) \| 4.4 (39.9) row 5 : precipitation mm (inches) \| 66.0 (2.598) \| 54.5 (2.146) \| 61.6 (2.425) \| 70.6 (2.78) \| 81.0 (3.189) \| 69.1 (2.72) \| 75.3 (2.965) \| 82.0 (3.228) \| 83.1 (3.272) \| 71.9 (2.831) \| 84.9 (3.343) \| 63.0 (2.48) \| 863.1 (33.98) row 6 : rainfall mm (inches) \| 31.8 (1.252) \| 33.0 (1.299) \| 44.7 (1.76) \| 68.2 (2.685) \| 81.0 (3.189) \| 69.1 (2.72) \| 75.3 (2.965) \| 82.0 (3.228) \| 83.1 (3.272) \| 71.9 (2.831) \| 79.7 (3.138) \| 43.5 (1.713) \| 763.3 (30.051) row 7 : snowfall cm (inches) \| 34.2 (13.46) \| 21.5 (8.46) \| 16.9 (6.65) \| 2.4 (0.94) \| 0.0 (0) \| 0.0 (0) \| 0.0 (0) \| 0.0 (0) \| 0.0 (0) \| 0.0 (0) \| 5.3 (2.09) \| 19.5 (7.68) \| 99.9 (39.33) row 8 : avg. precipitation days (≥ \| 12.4 \| 9.6 \| 11.0 \| 12.5 \| 11.8 \| 10.9 \| 10.1 \| 10.2 \| 10.9 \| 10.7 \| 13.9 \| 11.9 \| 135.8 ] Execute this SQL based on the above table: select month where oct = '10.7'	avg. precipitation days (≥ 0.2 mm), avg. rainy days (≥ 0.2 mm)
[ header: \| year \| name \| city \| country \| guests of honor \| size row 1 : 1st \| 1939 \| nycon i \| new york, new york \| united states \| frank r. paul \| 200 row 2 : 3rd \| 1941 \| denvention i \| denver, colorado \| united states \| robert a. hein \| 90 row 3 : 7th \| 1949 \| cinvention \| cincinnati, ohio \| united states \| lloyd a. e \| 190 row 4 : 9th \| 1951 \| nolacon i \| new orleans, louisiana \| united states \| fritz leiber \| 190 row 5 : 18th \| 1960 \| pittcon \| pittsburgh, pennsyl \| united states \| james blish \| 568 row 6 : 21st \| 1963 \| discon i \| washington, d.c \| united states \| murray leinster \| 600 row 7 : 32nd \| 1974 \| discon ii \| washington, d.c \| united states \| roger zelazny ( \| 3587 row 8 : 35th \| 1977 \| suncon \| miami beach, florida \| united states \| jack williamson (pro) \| 3,240 (4,200) row 9 : 42nd \| 1984 \| l.a.con ii \| anaheim, california \| united states \| gordon r. dickson \| 8365 row 10 : 46th \| 1988 \| nolacon ii \| new orleans, louisiana \| united states \| donald a. wollheim ( \| 5300 row 11 : 50th \| 1992 \| magicon \| orlando, florida \| united states \| jack vance (pro) vincent \| 5,319 (6,368) row 12 : 51st \| 1993 \| confrancisco \| san francisco, califor \| united states \| larry niven alicia \| 6602 row 13 : 64th \| 2006 \| l.a.con iv \| anaheim, california \| united states \| connie willis (author) james \| 5,738 (6,291) row 14 : 66th \| 2008 \| denvention 3 \| denver, colorado \| united states \| lois mcmaster bujold ( \| 3752 ] Execute this SQL based on the above table: select count ( * ) where = '50th'	1
[ header: position \| player \| free agency tag \| date signed \| 2013 team row 1 : qb \| josh mccown \| ufa \| march 29 \| chicago bears row 2 : rb \| kahlil bell \| ufa \| august 11 \| new york jets row 3 : og \| lance louis \| ufa \| march 27 \| miami dolphins row 4 : og \| chris spencer \| ufa \| april 1 \| tennessee titans row 5 : og \| chilo rachal \| ufa \| april 10 \| arizona cardinals row 6 : ot \| jonathan scott \| ufa \| march 25 \| chicago bears row 7 : de \| israel idonije \| ufa \| june 25 \| detroit lions row 8 : dt \| amobi okoye \| ufa \| None \| None row 9 : lb \| geno hayes \| ufa \| march 13 \| jacksonville jaguars row 10 : lb \| nick roach \| ufa \| march 15 \| oakland raiders row 11 : cb \| zack bowman \| ufa \| march 15 \| chicago bears row 12 : cb \| d. j. moore \| ufa \| march 19 \| carolina panthers row 13 : s \| troy nolan \| ufa \| july 29 \| tampa bay buccaneers row 14 : k \| olindo mare \| ufa \| None \| None ] Execute this SQL based on the above table: select count ( * ) where position = 'k'	1
[ 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 film where id = ( select id where film = 'mr. peabody & sherman' ) + 1	300: rise of an empire
[ header: tie no \| home team \| score \| away team \| attendance row 1 : 1 \| ifk vasteras (d2) \| 3-2 \| ik sleipner (d \| 875 row 2 : 2 \| kramfors if (n) \| 2-4 (aet) \| bk kenty (d3) \| 2808 row 3 : 3 \| reymersholms ik \| 5-2 \| atvidabergs ff (d \| 1504 row 4 : 4 \| wifsta/ostrands if \| 4-3 \| ludvika ffi \| 974 row 5 : 5 \| raa if (d3) \| 3-2 \| sandvikens if (d \| 2116 row 6 : 6 \| sandvikens aik \| 2-3 (aet) \| tidaholms g \| 822 row 7 : 7 \| karlstads bik (d \| 2-5 \| if friska viljor (n) \| 1550 row 8 : 8 \| sandviks ik (n \| 2-3 \| surahammars if (d2) \| None ] Execute this SQL based on the above table: select count ( home team ) where attendance = 0	0
[ header: year \| champion \| city \| llws \| record row 1 : 1957 \| industrial ll \| monterrey, nuevo leon \| champions \| 2-0 row 2 : 1958 \| national league of gadsden ll \| gadsden, alabama \| third place \| 2-1 row 3 : 1959 \| national league of gadsden ll \| gadsden, alabama \| first round \| 0-1 row 4 : 1961 \| el campo ll \| el campo, texas \| runner-up \| 2-1 row 5 : 1962 \| val verde county ll \| del rio, texa \| fifth place \| 2-1 row 6 : 1963 \| north houston ll \| north houston, texas \| fifth place \| 1-1 row 7 : 1966 \| westbury american ll \| houston, texas \| champions \| 3-0 row 8 : 1967 \| west tampa ll \| tampa, florida \| fifth place (tie) \| 1-1 row 9 : 1968 \| tuckahoe ll \| richmond, virginia \| runner-up \| 2-1 row 10 : 1969 \| west tampa ll \| tampa, florida \| third place (tie) \| 1-1 row 11 : 1970 \| national optimist ll \| nashville, tennessee \| seventh place \| 1-2 row 12 : 1971 \| gardenside ll \| lexington, kentucky \| eighth place \| 0-3 row 13 : 1972 \| national ll \| vienna, virginia \| seventh place \| 1-2 row 14 : 1973 \| belmont heights ll \| tampa, florida \| third place \| 2-1 row 15 : 1974 \| american ll \| jackson, tennessee \| fifth place \| 2-1 row 16 : 1975 \| belmont heights ll \| tampa, florida \| runner-up \| 1-1 row 17 : 1976 \| tuckahoe american ll \| richmond, virginia \| third place (tie) \| 1-1 row 18 : 1979 \| burns park ll \| north little rock, arkansas \| third place \| 2-1 row 19 : 1981 \| belmont heights ll \| tampa, florida \| runner-up \| 2-1 row 20 : 1983 \| east marietta national ll \| marietta, georgia \| champions \| 3-0 row 21 : 1984 \| national ll \| altamonte, florida \| runner-up \| 2-1 row 22 : 1985 \| american ll \| morristown, tennessee \| third place \| 2-1 row 23 : 1986 \| american ll \| sarasota, florid \| third place \| 2-1 row 24 : 1987 \| american ll \| morristown, tennessee \| seventh place (tie) \| 0-2 row 25 : 1988 \| northwest 45 ll \| spring, texas \| third place \| 2-1 row 26 : 1989 \| northside ll \| tampa, florida \| fifth place \| 2-1 row 27 : 1990 \| cottage hill ll \| mobile, alabama \| fifth place (tie) \| 1-1 row 28 : 1991 \| national ll \| dunedin, florida \| sixth place \| 1-2 row 29 : 1992 \| south lake charles ll \| lake charles, louisiana \| group stage \| 1-2 row 30 : 1993 \| tuckahoe american ll \| richmond, virginia \| group stage \| 0-3 row 31 : 1994 \| central springfield ll \| springfield, virginia \| third place (tie) \| 2-2 row 32 : 1995 \| northwest 45 ll \| spring, texas \| runner-up \| 3-2 row 33 : 1996 \| r.l. turner ll \| panama city, florida \| third place (tie) \| 3-1 ] Execute this SQL based on the above table: select sum ( year ) where record != '2-1'	39566
[ header: date \| constituency \| gain \| loss \| note row 1 : 30 may 1963 \| dublin north-east \| fine gael \| fine gael \| paddy belton (fg) holds the row 2 : 27 october 1963 \| dublin south-east \| labour party \| national progressive democrats \| noel browne (npd) row 3 : 27 october 1963 \| roscommon \| labour party \| national progressive democrats \| jack mcquillan (n row 4 : 27 october 1963 \| dublin county \| labour party \| independent \| sean dunne (ind) row 5 : 19 february 1964 \| cork borough \| fianna fail \| fianna fail \| sheila galvin (ff) wins row 6 : 19 february 1964 \| kildare \| fianna fail \| labour party \| terence boylan (ff) wins row 7 : 8 july 1964 \| roscommon \| fine gael \| fine gael \| joan burke (fg) holds row 8 : 3 december 1964 \| galway east \| fine gael \| clann na talmhan \| john donnellan (fg) wins row 9 : 10 march 1965 \| cork mid \| labour party \| labour party \| eileen desmond (lab) holds ] Execute this SQL based on the above table: select count ( gain )	9
[ 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 car order by no. asc limit 1	nissan skyline r32 gt-r
[ header: \| player \| nationality \| drafted by \| year \| round \| overall row 1 : w \| harald luckner \| sweden \| new york islanders \| 1977 \| 7th \| 121st row 2 : d \| bjorn olsson \| sweden \| st. louis blues \| 1977 \| 9th \| 147th row 3 : c \| bengt-ake gustafs \| sweden \| washington capitals \| 1978 \| 4th \| 55th row 4 : f \| dan hermansson \| sweden \| st. louis blues \| 1978 \| 10th \| 175th row 5 : w \| hakan loob \| sweden \| calgary flames \| 1980 \| 9th \| 181st row 6 : w \| jan ingman \| sweden \| montreal canadiens \| 1981 \| 1st \| 19th row 7 : lw \| magnus roupe \| sweden \| philadelphia flyers \| 1982 \| 9th \| 182nd row 8 : c \| thomas rundkvist \| sweden \| montreal canadiens \| 1983 \| 10th \| 198th row 9 : rw \| lars karlsson \| sweden \| detroit red wings \| 1984 \| 8th \| 152nd row 10 : d \| fredrik olausson \| sweden \| winnipeg jets \| 1985 \| 4th \| 81st row 11 : d \| mattias olsson \| sweden \| los angeles kings \| 1991 \| 10th \| 218th row 12 : c \| mathias johansson \| sweden \| calgary flames \| 1992 \| 3rd \| 54th row 13 : rw \| jonas hoglund \| sweden \| calgary flames \| 1992 \| 10th \| 222nd row 14 : d \| anders myrvold \| norway \| quebec nordiques \| 1993 \| 5th \| 127th row 15 : d \| henrik rehnberg \| sweden \| new jersey devils \| 1995 \| 4th \| 96th row 16 : rw \| kristian huselius \| sweden \| florida panthers \| 1997 \| 2nd \| 47th row 17 : lw \| peter nordstrom \| sweden \| boston bruins \| 1998 \| 3rd \| 78th row 18 : d \| jonas frogren \| sweden \| calgary flames \| 1998 \| 8th \| 206th row 19 : d \| pelle prestberg \| sweden \| mighty ducks of anaheim \| 1998 \| 9th \| 233rd row 20 : c \| tore vikingstad \| norway \| st. louis blues \| 1999 \| 6th \| 180th row 21 : lw \| andreas jamtin \| sweden \| detroit red wings \| 2001 \| 5th \| 157th row 22 : d \| robin jonsson \| sweden \| st. louis blues \| 2002 \| 4th \| 120th row 23 : d \| pierre johnsson \| sweden \| calgary flames \| 2002 \| 7th \| 207th row 24 : d \| per johnsson \| sweden \| calgary flames \| 2006 \| 7th \| 209th row 25 : c \| marcus johansson \| sweden \| washington capitals \| 2009 \| 1st \| 24th row 26 : f \| henrik bjorklund \| sweden \| calgary flames \| 2009 \| 4th \| 111th row 27 : g \| johan gustafsson \| sweden \| minnesota wild \| 2010 \| 6th \| 159th ] Execute this SQL based on the above table: select group by having count ( * ) >= 0	c, d, f, g, lw, rw, w
[ header: draft order round \| draft order choice \| player \| position \| height \| weight \| college row 1 : 1 \| 1 \| matthew stafford \| qb \| 6 ft 2 in (1.88 \| 223 lb (101 kg) \| georgia row 2 : 1 \| 20 \| brandon pettigrew \| te \| 6 ft 5 in (1.96 \| 263 lb (119 kg) \| oklahoma state row 3 : 2 \| 33 \| louis delmas \| s \| 5 ft 11 in (1.80 \| 202 lb (92 kg) \| western michigan row 4 : 3 \| 76 \| deandre levy \| olb \| 6 ft 2 in (1.88 \| 236 lb (107 kg) \| wisconsin row 5 : 3 \| 82 \| derrick williams \| wr \| 5 ft 11 in (1.80 \| 197 lb (89 kg) \| penn state row 6 : 4 \| 115 \| sammie lee hill \| dt \| 6 ft 4 in (1.93 \| 329 lb (149 kg) \| stillman row 7 : 6 \| 192 \| aaron brown \| rb \| 6 ft 1 in (1.85 \| 196 lb (89 kg) \| texas christian row 8 : 7 \| 228 \| lydon murtha \| ot \| 6 ft 7 in (2.01 \| 315 lb (143 kg) \| nebraska row 9 : 7 \| 235 \| zack follett \| olb \| 6 ft 1 in (1.85 \| 238 lb (108 kg) \| california row 10 : 7 \| 255 \| dan gronkowski \| te \| 6 ft 6 in (1.98 \| 255 lb (116 kg) \| maryland ] Execute this SQL based on the above table: select count ( college ) where draft order round >= 30	0
[ header: year \| order \| quantity \| ger nos. row 1 : 1893 \| n31 \| 1 \| 999 row 2 : 1893 \| h33 \| 10 \| 979-988 row 3 : 1894 \| l33 \| 10 \| 989-998 row 4 : 1894 \| e34 \| 10 \| 969-978 row 5 : 1896 \| n37 \| 10 \| 959-968 row 6 : 1897 \| h40 \| 10 \| 949-958 row 7 : 1897 \| o41 \| 10 \| 602-608, 946-948 row 8 : 1898 \| g42 \| 10 \| 542-551 row 9 : 1898 \| k43 \| 10 \| 562-571 ] Execute this SQL based on the above table: select order where quantity < 1335	n31, h33, l33, e34, n37, h40, o41, g42, k43
[ header: date \| location \| venue \| opening act \| supporting row 1 : august 11, 1993 \| calgary, alberta, canada \| max bell arena \| cadillac tramps \| None row 2 : august 12, 1993 \| edmonton, alberta, \| convention center \| cadillac tramps \| None row 3 : august 14, 1993 \| gimli, manitob \| gimli motorsport park \| None \| None row 4 : august 17, 1993 \| hull, quebec, canada \| robert guertin arena \| doughboys \| None row 5 : august 18, 1993 \| toronto, ontario, canada \| canadian national exhibition (cne) \| None \| neil young row 6 : august 19, 1993 \| montreal, quebec, canada \| verdun auditorium \| doughboys \| None row 7 : september 2, 1993 \| los angeles, californi \| viper room \| the darling buds \| None row 8 : september 4, 1993 \| vancouver, british columb \| bc place stadium \| None \| neil young row 9 : september 4, 1993 \| seattle, washington \| rendezvous club \| None \| None row 10 : september 5, 1993 \| george, washington \| the gorge amphitheatre \| blind melon \| neil young row 11 : september 6, 1993 \| portland, oregon \| portland meadows \| blind melon \| neil young ] Execute this SQL based on the above table: select opening act where opening act in ( 'doughboys' , 'cadillac tramps' ) and date = 'august 19, 1993'	doughboys
[ header: res. \| record \| opponent \| method \| event \| date \| round \| time \| location \| notes row 1 : win \| 12-3 \| mike hayes \| ko (punch) \| ksw 25: khali \| december 7, 2013 \| 1 \| 1:12 \| wrocław, poland \| None row 2 : win \| 11-3 \| nick moghadden \| tko (punches) \| bellator 99 \| september 13, 2013 \| 1 \| 3:22 \| temecula, california \| bellator debut row 3 : loss \| 10-3 \| guto inocente \| decision (unanimous) \| strikeforce: barnett vs. cor \| may 19, 2012 \| 3 \| 5:00 \| san jose, californ \| light heavyweight debut row 4 : win \| 10-2 \| brett albee \| tko (strikes) \| strikeforce: diaz vs. \| april 9, 2011 \| 1 \| 1:46 \| san diego, californ \| None row 5 : loss \| 9-2 \| lavar johnson \| ko (punches) \| strikeforce challengers: bowling v \| october 22, 2010 \| 1 \| 2:17 \| fresno, californ \| None row 6 : win \| 9-1 \| eddie sapp \| submission (rear-naked choke) \| native fighting championship 6 \| august 14, 2010 \| 1 \| 2:01 \| campo, california, \| None row 7 : loss \| 8-1 \| cody goodale \| decision (unanimous) \| gladiator challenge: maximum force \| april 25, 2010 \| 3 \| 5:00 \| san jacinto, cali \| None row 8 : win \| 8-0 \| ovince st. preux \| tko (punches) \| top combat championship 1 \| september 26, 2009 \| 2 \| 0:46 \| san juan, puerto \| None row 9 : win \| 7-0 \| william richey \| decision (unanimous) \| called out mma 1 \| august 15, 2009 \| 3 \| 5:00 \| ontario, california \| None row 10 : win \| 6-0 \| buckley acosta \| tko (punches) \| gladiator challenge: venom \| april 23, 2009 \| 1 \| 2:59 \| pauma valley, californi \| None row 11 : win \| 5-0 \| dave diaz \| submission \| gc 85: cross fire \| october 25, 2008 \| 1 \| 1:41 \| san diego, californ \| None row 12 : win \| 4-0 \| abraham ramirez \| tko (punches) \| apocalypse fights \| august 7, 2008 \| 1 \| None \| None \| None row 13 : win \| 3-0 \| ty montgomery \| tko (punches) \| galaxy productions \| august 24, 2007 \| 1 \| 0:41 \| california, united states \| None row 14 : win \| 2-0 \| tom hubert \| tko (doctor stoppage \| total combat 10 \| october 15, 2005 \| 2 \| 1:54 \| san diego, californ \| None row 15 : win \| 1-0 \| denis hall \| tko (punches) \| cff: cobra classic 9 \| april 16, 2003 \| 1 \| 0:58 \| anza, california, \| None ] Execute this SQL based on the above table: select date where event = 'top combat championship 1'	september 26, 2009
[ header: year \| site \| winning team \| losing team \| series row 1 : 1904 \| manhattan \| kansas 41 \| kansas state 4 \| ku 3-0 row 2 : 1905 \| lawrence \| kansas 28 \| kansas state 0 \| ku 4-0 row 3 : 1906 \| manhattan \| kansas state 6 \| kansas 4 \| ku 4-1 row 4 : 1912 \| lawrence \| kansas 19 \| kansas state 6 \| ku 9-1 row 5 : 1914 \| lawrence \| kansas 27 \| kansas state 0 \| ku 11-1 row 6 : 1922 \| manhattan \| kansas 7 \| kansas state 7 \| ku 17-1-2 row 7 : 1923 \| lawrence \| kansas 0 \| kansas state 0 \| ku 17-1-3 row 8 : 1926 \| manhattan \| kansas state 27 \| kansas 0 \| ku 17-4-3 row 9 : 1927 \| lawrence \| kansas state 13 \| kansas 2 \| ku 17-5-3 row 10 : 1929 \| lawrence \| kansas state 6 \| kansas 0 \| ku 18-6-3 row 11 : 1933 \| lawrence \| kansas state 6 \| kansas 0 \| ku 20-8-3 row 12 : 1934 \| manhattan \| kansas state 13 \| kansas 0 \| ku 20-9-3 row 13 : 1935 \| lawrence \| kansas 9 \| kansas state 2 \| ku 21-9-3 row 14 : 1936 \| manhattan \| kansas state 26 \| kansas 6 \| ku 21-10-3 row 15 : 1937 \| lawrence \| kansas state 7 \| kansas 0 \| ku 21-11-3 row 16 : 1938 \| manhattan \| kansas 27 \| kansas state 7 \| ku 22-11-3 row 17 : 1940 \| manhattan \| kansas state 20 \| kansas 0 \| ku 22-13-3 row 18 : 1943 \| lawrence \| kansas 25 \| kansas state 2 \| ku 25-13-3 row 19 : 1944 \| manhattan \| kansas state 24 \| kansas 18 \| ku 25-14-3 row 20 : 1945 \| lawrence \| kansas 27 \| kansas state 0 \| ku 26-14-3 row 21 : 1951 \| lawrence \| kansas 33 \| kansas state 14 \| ku 32-14-3 row 22 : 1952 \| manhattan \| (#9) kansas 26 \| kansas state 6 \| ku 33-14-3 row 23 : 1953 \| lawrence \| kansas state 7 \| kansas 0 \| ku 33-15-3 row 24 : 1954 \| manhattan \| kansas state 28 \| kansas 6 \| ku 33-16-3 row 25 : 1958 \| manhattan \| kansas 21 \| kansas state 12 \| ku 36-17-3 row 26 : 1960 \| manhattan \| kansas 41 \| kansas state 0 \| ku 38-17-3 row 27 : 1963 \| lawrence \| kansas 34 \| kansas state 0 \| ku 41-17-3 row 28 : 1966 \| manhattan \| kansas 3 \| kansas state 3 \| ku 43-17-4 row 29 : 1967 \| lawrence \| kansas 17 \| kansas state 16 \| ku 44-17-4 ] Execute this SQL based on the above table: select count ( winning team ) where year >= 1954	6
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 2002 \| world junior championships \| kingston, jamaica \| 17th (q) \| shot put (6 kg) \| 17.77 m row 2 : 2003 \| european junior championships \| tampere, finland \| 2nd \| shot put (6 kg) \| 20.10 m row 3 : 2005 \| european u23 championships \| erfurt, germany \| 1st \| shot put \| 20.44 m row 4 : 2005 \| world championships \| helsinki, finland \| 15th (q) \| shot put \| 19.56 m row 5 : 2005 \| universiade \| izmir, turkey \| 3rd \| shot put \| 19.40 m row 6 : 2006 \| world indoor championships \| moscow, russia \| 8th \| shot put \| 19.93 m row 7 : 2006 \| european championships \| gothenburg, sweden \| 11th \| shot put \| 19.44 m row 8 : 2007 \| european indoor championships \| birmingham, united kingdom \| 11th (q) \| shot put \| 19.12 m row 9 : 2007 \| world championships \| osaka, japan \| 13th (q) \| shot put \| 19.91 m row 10 : 2008 \| olympic games \| beijing, china \| 18th (q) \| shot put \| 19.87 m row 11 : 2009 \| european indoor championships \| turin, italy \| 4th \| shot put \| 20.14 m ] Execute this SQL based on the above table: select position where id = ( select id where position = '13th (q)' ) - 1	11th (q)
[ header: year \| w \| l \| t \| finish \| coach row 1 : 1910 \| 11 \| 0 \| 1 \| None \| earl ball row 2 : 1911 \| 7 \| 1 \| 2 \| None \| earl ball row 3 : 1912 \| 6 \| 3 \| 2 \| None \| earl ball row 4 : 1913 \| 8 \| 2 \| 0 \| indiana state champs \| earl ball row 5 : 1914 \| 5 \| 3 \| 1 \| None \| earl ball row 6 : 1915 \| 8 \| 2 \| 1 \| None \| earl ball row 7 : 1916 \| 2 \| 7 \| 1 \| None \| f.w. smith row 8 : 1917 \| 2 \| 2 \| 0 \| None \| ky foster, ralph daw row 9 : 1918 \| None \| None \| None \| None \| None row 10 : 1919 \| 4 \| 1 \| 1 \| None \| cooney checkaye row 11 : 1920 \| 0 \| 1 \| 0 \| 14th apfa \| ken huffine row 12 : 1921 \| 0 \| 2 \| 0 \| 18th apfa \| cooney checkaye row 13 : 1922 \| 5 \| 1 \| 3 \| None \| cooney checkaye row 14 : 1923 \| 3 \| 4 \| 0 \| None \| cooney checkaye row 15 : 1924 \| 3 \| 3 \| 0 \| None \| cooney checkaye row 16 : 1925 \| 6 \| 2 \| 3 \| None \| cooney checkaye row 17 : 1926 \| 0 \| 1 \| 0 \| incomplete \| None ] Execute this SQL based on the above table: select avg ( finish )	8.0
[ header: rd \| home team \| score \| away team \| result (w/d/l) \| attendance row 1 : 1 \| harlequins rl \| 28-47 \| wigan warriors \| l \| 8041 row 2 : 2 \| hull \| 6-24 \| harlequins rl \| w \| 13313 row 3 : 3 \| harlequins rl \| 34-18 \| wakefield trinity wildcats \| w \| 3176 row 4 : 4 \| castleford tigers \| 16-22 \| harlequins rl \| w \| 6268 row 5 : 5 \| harlequins rl \| 24-0 \| huddersfield giants \| w \| 3284 row 6 : 6 \| None \| None \| None \| None \| None row 7 : 7 \| None \| None \| None \| None \| None row 8 : ccc4 \| None \| None \| None \| None \| None row 9 : 8 \| None \| None \| None \| None \| None row 10 : 9 \| None \| None \| None \| None \| None row 11 : 10 \| None \| None \| None \| None \| None row 12 : 11 \| None \| None \| None \| None \| None row 13 : 12 \| None \| None \| None \| None \| None row 14 : 13 (a) \| None \| None \| None \| None \| None row 15 : 14 \| None \| None \| None \| None \| None row 16 : 15 \| None \| None \| None \| None \| None row 17 : 16 \| None \| None \| None \| None \| None row 18 : 17 \| None \| None \| None \| None \| None row 19 : 18 \| None \| None \| None \| None \| None row 20 : 19 \| None \| None \| None \| None \| None row 21 : 20 \| None \| None \| None \| None \| None row 22 : 21 \| None \| None \| None \| None \| None row 23 : 22 \| None \| None \| None \| None \| None row 24 : 23 \| None \| None \| None \| None \| None row 25 : 24 \| None \| None \| None \| None \| None row 26 : 25 \| None \| None \| None \| None \| None row 27 : 26 \| None \| None \| None \| None \| None row 28 : 27 \| None \| None \| None \| None \| None row 29 : esl po1 \| None \| None \| None \| None \| None row 30 : esl po2 \| None \| None \| None \| None \| None row 31 : esl po3 \| None \| None \| None \| None \| None row 32 : esl gf \| None \| None \| None \| None \| None ] Execute this SQL based on the above table: select count ( attendance ) where attendance >= 460	5
[ header: name \| pos. \| caps \| goals \| club row 1 : olle ahlund \| mf \| 6 \| 0 \| degerfors if row 2 : henry andersson \| gk \| 2 \| 0 \| ifk goteborg row 3 : bertil backvall \| fw \| 1 \| 0 \| hammarby if stockholm row 4 : henry "garvis" carls \| fw \| 5 \| 4 \| aik solna row 5 : arvid "emma" eman \| mf \| 5 \| 0 \| if elfsborg boras row 6 : rune "killing" emanu \| mf/df \| 3 \| 0 \| ifk goteborg row 7 : karl-erik grahn \| mf \| 4 \| 1 \| if elfsborg boras row 8 : gunnar "il professore" gren \| fw \| 6 \| 9 \| ifk goteborg row 9 : erik "mulle" holm \| fw \| 2 \| 1 \| ifk norrkoping row 10 : oskar "masse" hol \| df \| 2 \| 0 \| ifk norrkoping row 11 : ove karlsson-wid \| df \| 1 \| 0 \| aik solna row 12 : borje leander \| df/mf \| 4 \| 0 \| aik solna row 13 : gosta malm \| df \| 2 \| 0 \| ifk norrkoping row 14 : malte "svarta bli \| fw \| 1 \| 0 \| halsingborgs if row 15 : harry nilsson \| df \| 6 \| 0 \| aik solna row 16 : stellan nilsson \| fw \| 2 \| 1 \| malmo ff row 17 : bertil nordahl \| df/mf \| 2 \| 0 \| degerfors if row 18 : gunnar nordahl \| fw \| 5 \| 6 \| ifk norrkoping row 19 : knut nordahl \| fw \| 2 \| 0 \| ifk norrkoping row 20 : arne nyberg \| fw \| 6 \| 4 \| ifk goteborg row 21 : stig nystrom \| fw \| 1 \| 1 \| djurgardens if stockhol row 22 : vincent persson \| fw \| 1 \| 1 \| degerfors if row 23 : birger "bian" rosengren \| mf \| 1 \| 0 \| ifk norrkoping row 24 : carl-erik "pigge" \| fw \| 1 \| 0 \| malmo ff row 25 : carl "timpa" simons \| fw \| 1 \| 0 \| jonkopings sodra if row 26 : gustav "gurra" s \| gk \| 6 \| 0 \| aik solna row 27 : borje tapper \| fw \| 1 \| 5 \| malmo ff row 28 : lennart "skinnet" \| mf \| 1 \| 0 \| ifk norrkoping ] Execute this SQL based on the above table: select ( select caps where club = 'aik solna' ) - ( select caps where club = 'malmo ff' )	3.0
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 13 june 2013 \| zhejiang dragon sports centre, \| russia \| 1 - 0 \| 5 - 1 \| friendly row 2 : 2 \| 13 june 2013 \| zhejiang dragon sports centre, \| russia \| 3 - 0 \| 5 - 1 \| friendly row 3 : 3 \| 14 june 2013 \| zhejiang dragon sports centre, \| netherlands \| None \| 4 - 3 \| friendly row 4 : 4 \| 14 june 2013 \| zhejiang dragon sports centre, \| netherlands \| None \| 4 - 3 \| friendly row 5 : 5 \| 15 june 2013 \| zhejiang dragon sports centre, \| china \| None \| 5 - 2 \| friendly row 6 : 6 \| 1 july 2013 \| songdo global university campus, incheon \| iraq \| 3 - 1 \| 12 - 3 \| 2013 asian indoor-martial arts games row 7 : 7 \| 1 july 2013 \| songdo global university campus, incheon \| iraq \| 4 - 1 \| 12 - 3 \| 2013 asian indoor-martial arts games row 8 : 8 \| 6 july 2013 \| songdo global university campus, incheon \| japan \| 5 - 2 \| 5 - 2 \| 2013 asian indoor-martial arts games row 9 : None \| 19 october 2013 \| sao keatano, \| bank \| 3 - 0 \| 3 - 0 \| unofficial friendly row 10 : 9 \| 21 october 2013 \| maringa's futsal stadium, \| guatemala \| None \| 7 - 0 \| friendly row 11 : 10 \| 23 october 2013 \| ginasio chico neto, \| argentina \| 2 - 1 \| 2 - 2 \| 2013 grand prix de futsal ] Execute this SQL based on the above table: select competition where # >= 3	friendly, friendly, friendly, 2013 asian indoor-martial arts games, 2013 asian indoor-martial arts games, 2013 asian indoor-martial arts games, friendly, 2013 grand prix de futsal
[ header: city \| country (noc) \| round 1 \| run-off \| round 3 \| round 4 \| round 5 row 1 : athens \| greece \| 32 \| None \| 38 \| 52 \| 66 row 2 : rome \| italy \| 23 \| None \| 28 \| 35 \| 41 row 3 : cape town \| south africa \| 16 \| 62 \| 22 \| 20 \| None row 4 : stockholm \| sweden \| 20 \| None \| 19 \| None \| None row 5 : buenos aires \| argentina \| 16 \| 44 \| None \| None \| None ] Execute this SQL based on the above table: select round 3 where id = ( select id where round 3 = 19 ) - 1	22
[ header: station \| distance from wellington \| height above sea level (m) \| opened \| closed \| notes row 1 : tawa \| 13.58 km \| 25.6m \| 1937 \| open \| tawa flat (closed 1937) was row 2 : kenepuru \| 16.16 km \| 15m \| 1940 \| open \| None row 3 : paremata \| 21.7 km \| 2.7m \| 1885 \| open \| None row 4 : plimmerton \| 24.4 km \| 5.8m \| 1885 \| open \| None row 5 : waikanae \| 55.31 km \| 31m \| 1886 \| open \| None row 6 : ohau \| 84.95 km \| 30.7m \| 1886 \| c.1970 \| None row 7 : linton \| 124.19 km \| 18.3m \| 1886 \| closed \| None row 8 : awapuni \| 132 km \| 24.7m \| 1876 \| 1965 \| None row 9 : palmerston north \| 136.03 km \| 28m \| 1963 \| open \| None row 10 : bunnythorpe \| 144.47 km \| 55.2m \| 1876 \| closed \| None row 11 : halcombe \| 165.76 km \| 118m \| 1878 \| closed \| None row 12 : greatford \| 175.67 km \| 104.5m \| 1878 \| c.1970 \| None row 13 : cliff road \| 183.58 km \| 159.7m \| 1888 \| 1966 \| None row 14 : ohingaiti \| 222.14 km \| 279m \| 1902 \| 1975 \| None row 15 : ohotu \| 247.08 km \| 395.6m \| 1904 \| closed \| None row 16 : ngaurukehu \| 270.25 km \| 640m \| 1908 \| closed \| None row 17 : turangarere \| 274.5 km \| 702m \| 1912 \| 1972 \| None row 18 : tangiwai \| 299.49 km \| 699.5m \| 1909 \| closed \| nearest station to the tangiwai row 19 : rangataua \| 312.79 km \| 670m \| 1909 \| closed \| None row 20 : raurimu \| 358.31 km \| 589m \| 1908 \| closed \| None row 21 : owhango \| 371.89 km \| 456.6m \| 1908 \| closed \| None row 22 : taumarunui \| 397.75 km \| 171m \| 1903 \| 2012 \| None row 23 : taringamotu \| 402 km \| 172.5m \| 1903 \| 1971 \| None row 24 : okahukura \| 408.54 \| 178.3m \| 1903 \| closed \| okahukura junction in working time row 25 : waiteti \| 470.07 km \| 135m \| 1889 \| closed \| None row 26 : te kumi \| 478.56 km \| 49.6m \| 1887 \| closed \| None row 27 : otorohonga \| 494.41 km \| 37m \| 1887 \| 2012 \| reopened summer 2012 row 28 : te awamutu \| 517.02 km \| 50m \| 1880 \| 2005 \| new zealand dairy board (now font row 29 : ngaroto \| 519.92 km \| 56m \| 1880 \| 1954 \| None row 30 : ohinewai \| 582.04 km \| 10m \| 1877 \| c1968 \| None row 31 : paerata \| 633.29 km \| 45.1m \| 1875 \| 1980 \| paerata junction from 1917 row 32 : takanini \| 650.64 km \| 15.2m \| 1875 \| open \| None row 33 : puhinui \| 658.92 km \| 19.8m \| 1904 \| open \| None row 34 : middlemore \| 662.28 km \| 8.8m \| 1904 \| open \| None ] Execute this SQL based on the above table: select station where station in ( 'takanini' , 'puhinui' ) order by height above sea level (m) desc limit 1	puhinui
[ header: no. \| train no. \| origin \| destination \| train name row 1 : 4 \| 12611/2612 \| chennai \| h.nizamudin \| garib rath row 2 : 6 \| 11042/11041 \| chennai \| mumbai \| mumbai express row 3 : 7 \| 12842/12841 \| chennai \| howrah \| coromandel express row 4 : 8 \| 12840/12839 \| chennai \| howrah \| howrah mail row 5 : 9 \| 12679/12680 \| chennai \| coimbatore \| intercity express row 6 : 10 \| 12673/12674 \| chennai \| coimbatore \| cheran express row 7 : 11 \| 12675/12676 \| chennai \| coimbatore \| kovai express row 8 : 15 \| 16627/16628 \| chennai \| mangalore central \| west coast express row 9 : 16 \| 12601/12602 \| chennai \| mangalore central \| mangalore mail row 10 : 17 \| 12685/12686 \| chennai \| mangalore central \| superfast express row 11 : 18 \| 12656/12655 \| chennai \| ahmedabad \| navjivan express row 12 : 19 \| 12669/12670 \| chennai \| chhapra \| ganga kaveri express row 13 : 21 \| 16053/16054 \| chennai \| tirupati \| tirupati express row 14 : 23 \| 12759/12760 \| chennai \| hyderabad \| charminar express row 15 : 24 \| 12603/12604 \| chennai \| hyderabad \| hyderabad express row 16 : 25 \| 16669/16670 \| chennai \| erode \| yercaud express row 17 : 26 \| 12639/12640 \| chennai \| bangalore \| brindavan express row 18 : 29 \| 12027/12028 \| chennai \| bangalore \| shatabdi express row 19 : 30 \| 12609/12610 \| chennai \| bangalore \| bangalore express row 20 : 31 \| 12691/12692 \| chennai \| satya sai \| satya sai row 21 : 32 \| 12007/12008 \| chennai \| mysore \| shatabdi express row 22 : 35 \| 12623/12624 \| chennai \| trivandrum \| trivandrum mail row 23 : 36 \| 12695/12696 \| chennai \| trivandrum \| superfast express row 24 : 38 \| 16089/16090 \| chennai \| jolarpet junction \| yelagiri express row 25 : 39 \| 16031/16032 \| chennai \| jammutawi \| andaman express row 26 : 40 \| 12687/12688 \| chennai \| dehradun \| dehradun express row 27 : 41 \| 12712/12711 \| chennai \| vijayawada \| pinakini express row 28 : 42 \| 12077/12078 \| chennai \| vijayawada \| jan shatabdi express row 29 : 45 \| 16093/16094 \| chennai \| lucknow \| lucknow express row 30 : 46 \| 17311/17312 \| chennai \| vasco da gama, goa \| vasco express row 31 : 47 \| 17313/7314 \| chennai \| hubli \| hubli express row 32 : 49 \| 12291/12292 \| chennai \| yeswantpur \| yeswantpur express ] Execute this SQL based on the above table: select count ( * ) where origin = 'chennai'	32
[ 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 = 437	0
[ header: # \| date \| film \| gross \| top ten places row 1 : 1 \| january 5, 2014 \| frozen \| $2,441,278 \| paranormal activity: the marked ones (#2) row 2 : 2 \| january 12, 2014 \| frozen \| $1,193,153 \| the wolf of wall street (#3) row 3 : 3 \| january 19, 2014 \| ¿que le dijiste a \| $1,607,603 \| jack ryan: shadow recruit (# row 4 : 4 \| january 26, 2014 \| i, frankenstein \| $2,017,410 \| grudge match (#10) row 5 : 5 \| february 2, 2014 \| 47 ronin \| $1,916,620 \| devil's due (#2) row 6 : 6 \| february 9, 2014 \| the lego movie \| $3,823,198 \| the legend of hercules (#4) row 7 : 7 \| february 16, 2014 \| casese quien pueda \| $3,287,643 \| robocop (#2), the monuments row 8 : 8 \| february 23, 2014 \| casese quien pueda \| $2,228,705 \| pompeii (#3), 12 years row 9 : 9 \| march 2, 2014 \| mr. peabody & she \| $2,687,778 \| fachon models (#6), august: row 10 : 10 \| march 9, 2014 \| 300: rise of an empire \| $5,468,513 \| homefront (#8), zip & row 11 : 11 \| march 16, 2014 \| 300: rise of an empire \| $2,891,351 \| el crimen del cacaro row 12 : 12 \| march 23, 2014 \| noah \| $5,743,388 \| muppets most wanted (#3) row 13 : 13 \| march 30, 2014 \| captain america: the winter soldier \| $8,596,889 \| None ] Execute this SQL based on the above table: select date where id = ( select id where date = 'february 23, 2014' ) - 1	february 16, 2014
[ header: no. \| song \| singers \| length (m:ss) row 1 : 1 \| kalluri padam \| shankar mahadevan \| 01:32 row 2 : 2 \| iru kangal \| balram, gopika poornima \| 04:49 row 3 : 3 \| sithanna vasal \| s. p. balasubram \| 04:53 row 4 : 4 \| thozha thozha \| karthik \| 03:57 row 5 : 5 \| vidinjakka kannalam \| chitra sivaraman \| 04:20 row 6 : 6 \| mullai poo \| spb charan, ven \| 04:33 row 7 : 7 \| yarum ariya \| pavithra \| 05:16 row 8 : 8 \| salsa - theme music \| instrumental \| 01:33 ] Execute this SQL based on the above table: select ( select count ( * ) where song = 'mullai poo' ) - ( select count ( * ) where song = 'kalluri padam' )	0
[ header: # \| title \| songwriters \| producer(s) \| performer (s) row 1 : 1 \| "a dream" \| l. lynn, w \| will.i.am \| common, will.i.am row 2 : 2 \| "listen!!!" \| t.k. greene, k \| kwame \| talib kweli row 3 : 3 \| "it's r time [lenky \| j. ortega, v. \| None \| jeannie ortega row 4 : 4 \| "when the ship goes down (dia \| l. freese, l. \| dj muggs \| cypress hill row 5 : 5 \| "hip hop hooray" \| v. brown, a. cri \| naughty by nature \| naughty by nature row 6 : 6 \| "keep ya head up" \| t. shakur, d \| dj daryl \| 2pac row 7 : 7 \| "code of the streets" \| k. elam, c \| dj premier \| gang starr row 8 : 8 \| "rebirth of slick (cool like \| i. butler, c. \| butterfly \| digable planets row 9 : 9 \| "officer" \| t. hardson, j. mar \| j-swift \| the pharcyde row 10 : 10 \| "this is how we do it" \| m. jordan, o. \| montell jordan, oji pier \| montell jordan row 11 : 11 \| "colors" \| w. adams \| will.i.am \| will.i.am row 12 : 12 \| "bus ride" \| w. adams \| will.i.am \| will.i.am row 13 : 13 \| "riots" \| m. isham, w. \| None \| mark isham, miri ben-ari row 14 : 14 \| "eva's theme" \| m. isham \| None \| mark isham row 15 : 15 \| "anne frank" \| m. isham \| None \| mark isham, miri ben-ari ] Execute this SQL based on the above table: select songwriters where id = ( select id where # = 8 ) - 1	k. elam, c. martin, r. russell
[ header: sl no \| constituency name \| constituency number \| member of legislative assembly \| political party row 1 : 2 \| abhayapuri south \| 35 \| chandan kumar sarkar \| indian national congress row 2 : 4 \| amguri \| 103 \| anjan dutta \| indian national congress row 3 : 9 \| barhampur \| 87 \| prafulla kumar mahanta \| asom gana parishad row 4 : 15 \| bihali \| 77 \| pallab lochan das \| indian national congress row 5 : 16 \| bihpuria \| 109 \| bhupen kumar bor \| indian national congress row 6 : 17 \| bijni \| 33 \| kamalshing narzary \| bodoland peoples front row 7 : 21 \| bokajan \| 17 \| klengdoon engti \| indian national congress row 8 : 35 \| dhemaji \| 113 \| sumitra doley patir \| indian national congress row 9 : 49 \| gauripur \| 24 \| banendra kumar mushahary \| bodoland peoples front row 10 : 53 \| golakganj \| 25 \| abu taher bepari \| indian national congress row 11 : 56 \| hajo \| 55 \| dwipen pathak \| all india trinamool congress row 12 : 59 \| howraghat \| 18 \| khorsing engti \| indian national congress row 13 : 60 \| jagiroad \| 79 \| bibekananda dalai \| indian national congress row 14 : 62 \| jalukbari \| 51 \| himanta biswa sarma \| indian national congress row 15 : 63 \| jamunamukh \| 90 \| mohammed sirajuddin a \| all india united democratic front row 16 : 64 \| jania \| 44 \| rafiqul islam \| all india united democratic front row 17 : 65 \| jonai \| 114 \| pradan baruah \| indian national congress row 18 : 73 \| katlicherra \| 7 \| gautam roy \| indian national congress row 19 : 76 \| kokrajhar west \| 29 \| pradip kumar brahma \| bodoland peoples front row 20 : 83 \| majuli \| 99 \| sri rajib lochan \| indian national congress row 21 : 87 \| mazbat \| 70 \| rakheswar brahma \| bodoland peoples front row 22 : 95 \| nowgong \| 86 \| dr. durlav chandra \| indian national congress row 23 : 101 \| rangapara \| 74 \| bhimananda tanti \| indian national congress row 24 : 105 \| sadiya \| 126 \| bolin chetia \| indian national congress row 25 : 111 \| sidli \| 31 \| sri chandan brahm \| bodoland peoples front row 26 : 114 \| sonai \| 10 \| anamul haque \| indian national congress row 27 : 115 \| sonari \| 106 \| sarat borkotoky \| indian national congress row 28 : 116 \| sootea \| 75 \| padma hazarika \| asom gana parishad row 29 : 119 \| teok \| 102 \| membar gogoi \| indian national congress row 30 : 122 \| tingkhong \| 119 \| atuwa munda \| indian national congress row 31 : 123 \| tinsukia \| 122 \| rajendra prasad singh \| indian national congress ] Execute this SQL based on the above table: select member of legislative assembly order by sl no limit 1	chandan kumar sarkar
[ header: model \| origin \| type \| version \| in service \| notes row 1 : am general hmmwv \| united states \| light utility vehicle \| m998a1 m1038 \| None \| divided into several variants and series, including armor row 2 : maxi-ambulance \| united states \| light utility vehicle \| m997a2 \| 19 \| 23 delivered to afp on nov row 3 : m939 truck \| united states \| heavy utility vehicle \| m923 m929 m \| >20 0 0 0 0 \| 20 m923 delivered in 2010, several more row 4 : m35 truck \| united states \| heavy utility vehicle \| m35a1 m35a2 \| None \| divided into several variants and series, in service row 5 : mitsubishi fuso fighter \| japan \| light utility vehicle \| fk troop carrier \| None \| locally sourced row 6 : cmc cruiser \| philippines \| 1/4-ton light utility vehicle \| standard \| None \| limited production run, introduced in the mid-1990 row 7 : delta mini cruiser \| philippines \| 1/4-ton light utility vehicle \| m1777 \| None \| divided into several variants and series, including short row 8 : m151 \| united states \| 1/4-ton light utility vehicle \| m151 \| None \| in service row 9 : mitsubishi l200 \| japan \| light utility vehicle \| l200 \| None \| used by military police row 10 : km-50 series \| republic of korea \| heavy utility vehicle \| km-500 km-503 \| 6 12 \| km-500 as 155mm artillery row 11 : km-25 series \| republic of korea \| medium utility vehicle \| km-250 \| <250 \| in service. some units received by other armed row 12 : km-45 series \| republic of korea \| light utility vehicle \| km-450 \| 727 \| 651 purchased by afp on 2007 row 13 : km-45 series \| republic of korea \| field ambulance \| km-451 \| 48 \| 60 purchased by afp in 2012, ] Execute this SQL based on the above table: select notes where type = 'light utility vehicle'	divided into several variants and series, including armored variants. uparmored variants (m1025p1 and m1114) are assigned with the mechanized infantry division and special operations command, 23 delivered to afp on november 2011, pmc received 4 units, locally sourced, used by military police, 651 purchased by afp on 2007 (590 for army) and 137 on december 2010
[ header: date \| opponents \| h / a \| result f - a \| scorers \| attendance row 1 : 26 august 1933 \| plymouth argyle \| a \| 0 - 4 \| None \| 25700 row 2 : 30 august 1933 \| nottingham forest \| h \| 0 - 1 \| None \| 16934 row 3 : 2 september 1933 \| lincoln city \| h \| 1 - 1 \| green \| 16987 row 4 : 7 september 1933 \| nottingham forest \| a \| 1 - 1 \| stewart \| 10650 row 5 : 9 september 1933 \| bolton wanderers \| h \| 1 - 5 \| stewart \| 21779 row 6 : 16 september 1933 \| brentford \| a \| 4 - 3 \| brown (2), frame, hine \| 17180 row 7 : 23 september 1933 \| burnley \| h \| 5 - 2 \| dewar (4), brown \| 18411 row 8 : 14 october 1933 \| bradford park avenue \| a \| 1 - 6 \| hine \| 11033 row 9 : 21 october 1933 \| bury \| a \| 1 - 2 \| byrne \| 15008 row 10 : 25 november 1933 \| bradford city \| h \| 2 - 1 \| dewar, own goal \| 20902 row 11 : 2 december 1933 \| port vale \| a \| 3 - 2 \| black, brown, dewar \| 10316 row 12 : 9 december 1933 \| notts county \| h \| 1 - 2 \| dewar \| 15564 row 13 : 16 december 1933 \| swansea town \| a \| 1 - 2 \| hine \| 6591 row 14 : 23 december 1933 \| millwall \| h \| 1 - 1 \| dewar \| 12043 row 15 : 26 december 1933 \| grimsby town \| a \| 3 - 7 \| byrne (2), frame \| 15801 row 16 : 6 january 1934 \| lincoln city \| a \| 1 - 5 \| brown \| 6075 row 17 : 20 january 1934 \| bolton wanderers \| a \| 1 - 3 \| ball \| 11887 row 18 : 3 february 1934 \| burnley \| a \| 4 - 1 \| cape (2), green, stewart \| 9906 row 19 : 10 february 1934 \| oldham athletic \| h \| 2 - 3 \| cape, green \| 24480 row 20 : 24 february 1934 \| bradford park avenue \| h \| 0 - 4 \| None \| 13389 row 21 : 3 march 1934 \| bury \| h \| 2 - 1 \| ball, gallimore \| 11176 row 22 : 10 march 1934 \| hull city \| a \| 1 - 4 \| ball \| 5771 row 23 : 17 march 1934 \| fulham \| h \| 1 - 0 \| ball \| 17565 row 24 : 24 march 1934 \| southampton \| a \| 0 - 1 \| None \| 4840 row 25 : 30 march 1934 \| west ham united \| h \| 0 - 1 \| None \| 29114 row 26 : 31 march 1934 \| blackpool \| h \| 2 - 0 \| cape, hine \| 20038 row 27 : 2 april 1934 \| west ham united \| a \| 1 - 2 \| cape \| 20085 row 28 : 7 april 1934 \| bradford city \| a \| 1 - 1 \| cape \| 9258 row 29 : 14 april 1934 \| port vale \| h \| 2 - 0 \| brown, mcmillen \| 14777 row 30 : 21 april 1934 \| notts county \| a \| 0 - 0 \| None \| 9645 row 31 : 28 april 1934 \| swansea town \| h \| 1 - 1 \| topping \| 16678 row 32 : 5 may 1934 \| millwall \| a \| 2 - 0 \| cape, manley \| 24003 ] Execute this SQL based on the above table: select count ( attendance ) where attendance > 25700 and opponents = 'lincoln city'	0
[ header: city/municipality \| city/municipality \| no. of barangays \| area (hectares) \| population (2010) \| income class (2010) \| mayor (2010-2013) row 1 : None \| baao \| 30 \| 10663 \| 54971 \| 3rd class \| melquiades i. gait row 2 : None \| balatan \| 17 \| 9309 \| 28699 \| 4th class \| ernesto a. bagas row 3 : None \| bato \| 33 \| 10712 \| 48306 \| 3rd class \| jeanette r. bernal row 4 : None \| buhi \| 38 \| 24665 \| 73809 \| 1st class \| rey p. lacoste row 5 : None \| bula \| 33 \| 16764 \| 68011 \| 2nd class \| benjamin s. decen row 6 : None \| calabanga \| 48 \| 16380 \| 78119 \| 1st class \| eduardo severo row 7 : None \| camaligan \| 13 \| 468 \| 22254 \| 5th class \| marilou marquez-hirose row 8 : None \| caramoan \| 49 \| 27600 \| 44945 \| 2nd class \| constantino h. cordial, row 9 : None \| gainza \| 8 \| 1475 \| 10345 \| 5th class \| william angeles abilay row 10 : None \| garchitorena \| 23 \| 24380 \| 25204 \| 4th class \| solon o.demetriou j row 11 : None \| goa \| 34 \| 20618 \| 58503 \| 2nd class \| antero s. lim row 12 : None \| iriga city \| 36 \| 13735 \| 105919 \| 4th class \| madeleine a. gazmen row 13 : None \| lagonoy \| 38 \| 37790 \| 51814 \| 2nd class \| delfin r. pilapil row 14 : None \| libmanan \| 75 \| 34282 \| 100002 \| 1st class \| marilyn a. jimenez row 15 : None \| lupi \| 38 \| 19912 \| 30118 \| 3rd class \| raul m. matamoros row 16 : None \| magarao \| 15 \| 4497 \| 24274 \| 4th class \| salvador a. senar row 17 : None \| milaor \| 20 \| 3364 \| 28474 \| 4th class \| rogelio a. row 18 : None \| nabua \| 42 \| 9620 \| 80111 \| 1st class \| delia c. simbulan row 19 : 25px \| naga city \| 27 \| 8448 \| 174931 \| 2nd class \| john g. bongat row 20 : None \| ocampo \| 25 \| 11833 \| 43523 \| 3rd class \| fidel c. carido row 21 : None \| pamplona \| 17 \| 8060 \| 34471 \| 4th class \| gimeno a. imperial row 22 : None \| pasacao \| 19 \| 14954 \| 45946 \| 3rd class \| asuncion v. arseni row 23 : None \| pili \| 26 \| 12625 \| 82307 \| 1st class \| tomas p. bongalonta, row 24 : None \| presentacion \| 18 \| 14380 \| 20023 \| 4th class \| joey a. delen row 25 : None \| sagnay \| 19 \| 15476 \| 31314 \| 4th class \| evelyn b. fuente row 26 : None \| san fernando \| 22 \| 7176 \| 33281 \| 4th class \| eugenio "jun" ] Execute this SQL based on the above table: select count ( city/municipality )	26
[ header: midwest division v t e \| w \| l \| pct \| gb \| home \| road \| div row 1 : y-denver nuggets \| 50 \| 32 \| 0.61 \| None \| 36-5 \| 14-27 \| 15-5 row 2 : x-detroit pistons \| 44 \| 38 \| 0.537 \| 6 \| 30-11 \| 14-27 \| 12-8 row 3 : x-chicago bulls \| 44 \| 38 \| 0.537 \| 6 \| 31-10 \| 13-28 \| 10-10 row 4 : kansas city kings \| 40 \| 42 \| 0.488 \| 10 \| 28-13 \| 12-29 \| 7-13 row 5 : indiana pacers \| 36 \| 46 \| 0.439 \| 14 \| 25-16 \| 11-30 \| 9-11 row 6 : milwaukee bucks \| 30 \| 52 \| 0.366 \| 20 \| 24-17 \| 6-35 \| 7-13 ] Execute this SQL based on the above table: select div order by w desc limit 1	15-5
[ header: station \| distance from wellington \| height above sea level (m) \| opened \| closed \| notes row 1 : tawa \| 13.58 km \| 25.6m \| 1937 \| open \| tawa flat (closed 1937) was row 2 : kenepuru \| 16.16 km \| 15m \| 1940 \| open \| None row 3 : paremata \| 21.7 km \| 2.7m \| 1885 \| open \| None row 4 : plimmerton \| 24.4 km \| 5.8m \| 1885 \| open \| None row 5 : waikanae \| 55.31 km \| 31m \| 1886 \| open \| None row 6 : ohau \| 84.95 km \| 30.7m \| 1886 \| c.1970 \| None row 7 : linton \| 124.19 km \| 18.3m \| 1886 \| closed \| None row 8 : awapuni \| 132 km \| 24.7m \| 1876 \| 1965 \| None row 9 : palmerston north \| 136.03 km \| 28m \| 1963 \| open \| None row 10 : bunnythorpe \| 144.47 km \| 55.2m \| 1876 \| closed \| None row 11 : halcombe \| 165.76 km \| 118m \| 1878 \| closed \| None row 12 : greatford \| 175.67 km \| 104.5m \| 1878 \| c.1970 \| None row 13 : cliff road \| 183.58 km \| 159.7m \| 1888 \| 1966 \| None row 14 : ohingaiti \| 222.14 km \| 279m \| 1902 \| 1975 \| None row 15 : ohotu \| 247.08 km \| 395.6m \| 1904 \| closed \| None row 16 : ngaurukehu \| 270.25 km \| 640m \| 1908 \| closed \| None row 17 : turangarere \| 274.5 km \| 702m \| 1912 \| 1972 \| None row 18 : tangiwai \| 299.49 km \| 699.5m \| 1909 \| closed \| nearest station to the tangiwai row 19 : rangataua \| 312.79 km \| 670m \| 1909 \| closed \| None row 20 : raurimu \| 358.31 km \| 589m \| 1908 \| closed \| None row 21 : owhango \| 371.89 km \| 456.6m \| 1908 \| closed \| None row 22 : taumarunui \| 397.75 km \| 171m \| 1903 \| 2012 \| None row 23 : taringamotu \| 402 km \| 172.5m \| 1903 \| 1971 \| None row 24 : okahukura \| 408.54 \| 178.3m \| 1903 \| closed \| okahukura junction in working time row 25 : waiteti \| 470.07 km \| 135m \| 1889 \| closed \| None row 26 : te kumi \| 478.56 km \| 49.6m \| 1887 \| closed \| None row 27 : otorohonga \| 494.41 km \| 37m \| 1887 \| 2012 \| reopened summer 2012 row 28 : te awamutu \| 517.02 km \| 50m \| 1880 \| 2005 \| new zealand dairy board (now font row 29 : ngaroto \| 519.92 km \| 56m \| 1880 \| 1954 \| None row 30 : ohinewai \| 582.04 km \| 10m \| 1877 \| c1968 \| None row 31 : paerata \| 633.29 km \| 45.1m \| 1875 \| 1980 \| paerata junction from 1917 row 32 : takanini \| 650.64 km \| 15.2m \| 1875 \| open \| None row 33 : puhinui \| 658.92 km \| 19.8m \| 1904 \| open \| None row 34 : middlemore \| 662.28 km \| 8.8m \| 1904 \| open \| None ] Execute this SQL based on the above table: select height above sea level (m) where distance from wellington > 562	10.0, 45.1, 15.2, 19.8, 8.8
[ header: year \| competition \| venue \| position \| notes row 1 : 2002 \| world junior championships \| kingston, jamaica \| 1st \| 64.51 m (1.75 kg) row 2 : 2002 \| asian games \| busan, south korea \| 1st \| 60.76 m row 3 : 2003 \| universiade \| daegu, south korea \| 1st \| 62.32 m row 4 : 2003 \| asian championships \| manila, philippines \| 1st \| 61.43 m row 5 : 2004 \| olympic games \| athens, greece \| 18th (q) \| 60.60 m row 6 : 2005 \| world championships \| helsinki, finland \| 18th (q) \| 61.75 m row 7 : 2005 \| universiade \| izmir, turkey \| 7th \| 59.67 m row 8 : 2005 \| east asian games \| macau \| 1st \| 61.74 m row 9 : 2006 \| asian games \| doha, qatar \| 5th \| 58.54 m row 10 : 2009 \| asian championships \| guangzhou, china \| 3rd \| 59.27 m ] Execute this SQL based on the above table: select venue order by competition desc limit 1	kingston, jamaica
[ header: no. in series \| no. in season \| title \| directed by \| written by \| original air date \| prod. code row 1 : 68 \| 1 \| "you can go home again" \| jeff mccracken \| mark blutman & howard bus \| september 20, 1996 \| b720 row 2 : 69 \| 2 \| "hair today, goon tomorrow" \| jeff mccracken \| susan estelle jansen \| september 27, 1996 \| b721 row 3 : 71 \| 4 \| "fishing for virna" \| jeff mccracken \| matthew nelson \| october 11, 1996 \| b723 row 4 : 72 \| 5 \| "shallow boy" \| jeff mccracken \| jeff sherman \| october 18, 1996 \| b724 row 5 : 73 \| 6 \| "janitor dad" \| jeff mccracken \| jeff menell \| october 25, 1996 \| b725 row 6 : 74 \| 7 \| "singled out" \| jeff mccracken \| steve hibbert \| november 1, 1996 \| b727 row 7 : 75 \| 8 \| "dangerous secret" \| jeff mccracken \| jeff sherman \| november 8, 1996 \| b726 row 8 : 76 \| 9 \| "sixteen candles and four-hund \| jeff mccracken \| matthew nelson \| november 15, 1996 \| b728 row 9 : 77 \| 10 \| "turkey day" \| jeff mccracken \| susan estelle jansen \| november 22, 1996 \| b729 row 10 : 79 \| 12 \| "easy street" \| jeff mccracken \| jeff menell \| december 13, 1996 \| b732 row 11 : 80 \| 13 \| "b & b's b \| jeff mccracken \| mark blutman & howard bus \| january 3, 1997 \| b733 row 12 : 81 \| 14 \| "wheels" \| jeff mccracken \| jeff sherman \| january 17, 1997 \| b734 row 13 : 82 \| 15 \| "chick like me" \| jeff mccracken \| steve hibbert \| january 31, 1997 \| b731 row 14 : 83 \| 16 \| "a long walk to pittsburgh ( \| jeff mccracken \| matthew nelson \| february 7, 1997 \| b736 row 15 : 84 \| 17 \| "a long walk to pittsburgh ( \| jeff mccracken \| mark blutman & howard bus \| february 14, 1997 \| b737 row 16 : 85 \| 18 \| "uncle daddy" \| jeff mccracken \| steve young \| february 28, 1997 \| b738 row 17 : 86 \| 19 \| "quiz show" \| jeff mccracken \| steve hibbert \| march 21, 1997 \| b735 row 18 : 87 \| 20 \| "security guy" \| jeff mccracken \| steve hibbert \| april 25, 1997 \| b740 row 19 : 88 \| 21 \| "cult fiction" \| jeff mccracken \| jeff menell \| may 2, 1997 \| b739 row 20 : 89 \| 22 \| "learning to fly" \| jeff mccracken \| jeff sherman \| may 9, 1997 \| b741 ] Execute this SQL based on the above table: select no. in season where title = '"cult fiction"'	21.0
[ header: date \| opponents \| venue \| result \| scorers \| attendance \| report 1 \| report 2 row 1 : 27-jan-68 \| bournemouth \| a \| 0-0 \| None \| 24388 \| report \| report row 2 : 30-jan-68 \| bournemouth \| h \| 4-1 \| hateley 33' thompson 44 \| 54075 \| report \| report row 3 : 17-feb-68 \| walsall \| a \| 0-0 \| None \| 21066 \| report \| report row 4 : 19-feb-68 \| walsall \| h \| 5-2 \| hateley 24', 33', 64' \| 39113 \| report \| report row 5 : 09-mar-68 \| tottenham hotspur \| a \| 1-1 \| hateley 54' \| 54005 \| report \| report row 6 : 12-mar-68 \| tottenham hotspur \| h \| 2-1 \| hunt 23' smith 78 pen' \| 53658 \| report \| report row 7 : 30-mar-68 \| west bromwich albion \| a \| 0-0 \| None \| 53062 \| report \| report row 8 : 08-apr-68 \| west bromwich albion \| h \| 1-1 \| hateley 24' \| 54273 \| report \| report row 9 : 18-apr-68 \| west bromwich albion \| n \| 1-2 \| hateley 39' \| 56000 \| report \| report ] Execute this SQL based on the above table: select count ( result ) where opponents = 'tottenham hotspur'	2
[ header: pos. \| driver \| co-driver \| car \| time \| difference \| points row 1 : 1 \| sebastien loeb \| daniel elena \| citroen c4 wr \| 3:59:18.9 \| 0 \| 10 row 2 : 2 \| dani sordo \| marc marti \| citroen c4 wr \| 3:59;36.4 \| 17.5 \| 8 row 3 : 3 \| mikko hirvonen \| jarmo lehtinen \| ford focus rs wrc \| 4:00:00.4 \| 41.5 \| 6 row 4 : 4 \| petter solberg \| phil mills \| subaru impreza wrc \| 4:02:07.8 \| 2:48.9 \| 5 row 5 : 5 \| urmo aava \| kuldar sikk \| citroen c4 wr \| 4:02:49.6 \| 3:30.7 \| 4 row 6 : 6 \| pg andersson \| jonas andersson \| suzuki sx4 wr \| 4:06:56.3 \| 7:37.4 \| 3 row 7 : 7 \| toni gardemeister \| tomi tuominen \| suzuki sx4 wr \| 4:07:13.8 \| 7:54.9 \| 2 row 8 : 8 \| federico villagra \| jorge perez companc \| ford focus rs wrc \| 4:07:53.9 \| 8:35.0 \| 1 row 9 : 1. (10.) \| martin prokop \| jan tomanek \| mitsubishi lancer evo ix \| 4:13:07.9 \| 0 \| 10 row 10 : 2. (11.) \| patrik sandell \| emil axelsson \| mitsubishi lancer evo ix \| 4:13:44.1 \| 36.2 \| 8 row 11 : 3. (12.) \| martin rauam \| silver kutt \| mitsubishi lancer evo ix \| 4:14:05.7 \| 57.8 \| 6 ] Execute this SQL based on the above table: select points where car = 'mitsubishi lancer evo ix'	10.0, 8.0, 6.0