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symbolic-instruction-tuning-sql

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train · 200k rows

inputs stringlengths 291 3.71k	targets stringlengths 1 2.65k
[ header: race \| race name \| pole position \| fastest lap \| winning driver \| winning team \| yokohama winner \| jay-ten winner \| report row 1 : 1 \| race of brazil \| robert huff \| robert huff \| robert huff \| chevrolet \| kristian poulsen \| michel nykjær \| report row 2 : 3 \| race of belgium \| robert huff \| robert huff \| robert huff \| chevrolet \| kristian poulsen \| michel nykjær \| report row 3 : 5 \| race of italy \| robert huff \| yvan muller \| robert huff \| chevrolet \| norbert michelisz \| fredy barth \| report row 4 : 7 \| race of hungary \| alain menu \| norbert michelisz \| alain menu \| chevrolet \| norbert michelisz \| aleksei dudukalo \| report row 5 : 8 \| race of hungary \| None \| norbert michelisz \| yvan muller \| chevrolet \| franz engstler \| aleksei dudukalo \| report row 6 : 9 \| race of the czech republic \| yvan muller \| robert huff \| robert huff \| chevrolet \| kristian poulsen \| aleksei dudukalo \| report row 7 : 10 \| race of the czech republic \| None \| yvan muller \| yvan muller \| chevrolet \| michel nykjær \| aleksei dudukalo \| report row 8 : 11 \| race of portugal \| alain menu \| alain menu \| alain menu \| chevrolet \| norbert michelisz \| no finishers \| report row 9 : 17 \| race of spain \| yvan muller \| yvan muller \| yvan muller \| chevrolet \| kristian poulsen \| fabio fabiani \| report row 10 : 18 \| race of spain \| None \| yvan muller \| yvan muller \| chevrolet \| kristian poulsen \| fabio fabiani \| report row 11 : 20 \| race of japan \| None \| robert dahlgren \| tom coronel \| roal motorsport \| michel nykjær \| charles ng \| report row 12 : 21 \| race of china \| alain menu \| robert huff \| alain menu \| chevrolet \| colin turkington \| fabio fabiani \| report row 13 : 22 \| race of china \| None \| yvan muller \| yvan muller \| chevrolet \| colin turkington \| fabio fabiani \| report row 14 : 23 \| guia race of macau \| robert huff \| yvan muller \| robert huff \| chevrolet \| michel nykjær \| jo merszei \| report ] Execute this SQL based on the above table: select yokohama winner where yokohama winner in ( 'kristian poulsen' , 'colin turkington' ) order by race - race desc limit 1	kristian poulsen
[ header: name \| town \| deanery \| vicariate \| founded \| original ethnic community row 1 : st. ann \| hamden \| hamden-north haven \| new haven \| 1919 \| italian row 2 : st. anthony \| prospect \| naugatuck-cheshire \| waterbury \| 1943 \| none row 3 : ascension \| hamden \| hamden-north haven \| new haven \| 1964 \| none row 4 : st. bridget \| manchester \| manchester \| hartford \| 1870 \| none row 5 : st. catherine of sien \| west simsbury (simsbury \| farmington valley \| hartford \| 1971 \| none row 6 : st. christopher \| east hartford \| manchester \| hartford \| 1965 \| none row 7 : church of the epiphany \| cheshire \| naugatuck-cheshire \| waterbury \| 1967 \| none row 8 : st. francis xa \| new milford \| suburban waterbury \| waterbury \| 1871 \| none row 9 : st. gabriel \| windsor \| farmington valley \| hartford \| 1894 \| none row 10 : st. gertrude \| windsor \| farmington valley \| hartford \| 1947 \| none row 11 : st. hedwig \| union city (naugatuck) \| naugatuck-cheshire \| waterbury \| 1906 \| polish row 12 : holy infant \| orange \| west shore line \| new haven \| 1952 \| none row 13 : immaculate conception \| new hartford \| litchfield \| waterbury \| 1869 \| none row 14 : immaculate conception \| norfolk \| litchfield \| waterbury \| 1889 \| none row 15 : st. john the evangelis \| new britain \| new britain \| hartford \| 1916 \| none row 16 : st. joseph \| canaan \| litchfield \| waterbury \| 1920 \| none row 17 : st. joseph \| winsted (winchester) \| litchfield \| waterbury \| 1853 \| none row 18 : st. lawrence \| west haven \| west shore line \| new haven \| 1886 \| none row 19 : st. margaret mary \| south windsor \| manchester \| hartford \| 1961 \| none row 20 : st. mary \| newington \| suburban hartford \| hartford \| 1924 \| none row 21 : st. mary \| union city (naugatuck) \| naugatuck-cheshire \| waterbury \| 1907 \| none row 22 : st. mary \| unionville (farmington) \| farmington valley \| hartford \| 1874 \| none row 23 : st. mary \| windsor locks \| enfield \| hartford \| 1852 \| none row 24 : st. michael \| waterbury \| waterbury \| waterbury \| 1897 \| none row 25 : our lady of loreto \| waterbury \| waterbury \| waterbury \| 1971 \| portuguese row 26 : our lady of mt. carmel \| waterbury \| waterbury \| waterbury \| 1923 \| italian row 27 : our lady of the lakes \| new milford \| suburban waterbury \| waterbury \| 1990 \| none row 28 : st. patrick \| collinsville (canton) \| farmington valley \| hartford \| 1856 \| none row 29 : st. peter \| torrington \| litchfield \| waterbury \| 1910 \| italian row 30 : st. peter claver \| west hartford \| suburban hartford \| hartford \| 1966 \| none row 31 : sacred heart \| new haven \| new haven \| new haven \| 1876 \| none row 32 : st. stanislaus \| bristol \| bristol \| waterbury \| 1919 \| polish ] Execute this SQL based on the above table: select abs ( ( select founded where town = 'new milford' ) - ( select founded where town = 'unionville (farmington)' ) )	3
[ header: year \| best \| location \| date \| world rank row 1 : 2012 \| 27:02.59 \| birmingham \| 22 june \| 3rd row 2 : 2011 \| 26:43.16 \| brussels \| 16 september \| 1st row 3 : 2009 \| 26:46.31 \| berlin \| 17 august \| 1st row 4 : 2008 \| 26:25.97 \| eugene, oregon \| 8 june \| 1st row 5 : 2007 \| 26:46.19 \| brussels \| 14 september \| 1st row 6 : 2005 \| 26:17.53 \| brussels \| 26 august \| 1st row 7 : 2004 \| 26:20.31 \| ostrava \| 8 june \| 1st row 8 : 2003 \| 26:49.57 \| paris \| 25 august \| 4th ] Execute this SQL based on the above table: select date where year = 2004 order by best limit 1	8 june
[ header: new municipality \| old municipalities \| seat row 1 : gortynia \| dimitsana \| dimitsana row 2 : gortynia \| vytina \| dimitsana row 3 : gortynia \| iraia \| dimitsana row 4 : gortynia \| kleitor \| dimitsana row 5 : gortynia \| kontovazaina \| dimitsana row 6 : gortynia \| langadia \| dimitsana row 7 : gortynia \| trikolonoi \| dimitsana row 8 : gortynia \| tropaia \| dimitsana row 9 : megalopoli \| gortyna \| megalopoli row 10 : megalopoli \| falaisia \| megalopoli row 11 : north kynouria (vore \| north kynouria \| astros row 12 : south kynouria (noti \| leonidio \| leonidio row 13 : south kynouria (noti \| kosmas \| leonidio row 14 : south kynouria (noti \| tyros \| leonidio row 15 : tripoli \| valtetsi \| tripoli row 16 : tripoli \| korythio \| tripoli row 17 : tripoli \| levidi \| tripoli row 18 : tripoli \| mantineia \| tripoli row 19 : tripoli \| skyritida \| tripoli row 20 : tripoli \| tegea \| tripoli row 21 : tripoli \| falanthos \| tripoli ] Execute this SQL based on the above table: select new municipality order by seat limit 1	north kynouria (voreia kynouria)
[ header: county \| feinstein \| votes \| seymour \| votes \| horne \| votes \| meeu. \| votes \| boddie \| votes \| w/i \| v's row 1 : san mateo \| 67.25% \| 181,990 \| 27.89% \| 75,470 \| 1.84% \| 4,983 \| 1.29% \| 3,478 \| 1.73% \| 4,684 \| 0.00% \| 0 row 2 : contra costa \| 62.96% \| 229,988 \| 31.62% \| 115,507 \| 1.92% \| 7,011 \| 1.77% \| 6,470 \| 1.73% \| 6,320 \| 0.00% \| 2 row 3 : sonoma \| 62.84% \| 121,471 \| 29.38% \| 56,793 \| 3.02% \| 5,846 \| 2.43% \| 4,702 \| 2.33% \| 4,502 \| 0.00% \| 0 row 4 : santa clara \| 62.19% \| 364,997 \| 30.98% \| 181,858 \| 2.15% \| 12,646 \| 2.20% \| 12,912 \| 2.47% \| 14,518 \| 0.00% \| 2 row 5 : monterey \| 58.89% \| 66,417 \| 34.74% \| 39,182 \| 2.10% \| 2,369 \| 2.30% \| 2,590 \| 1.96% \| 2,216 \| 0.00% \| 0 row 6 : los angeles \| 58.72% \| 1,552,223 \| 34.03% \| 899,656 \| 3.18% \| 84,093 \| 2.09% \| 55,380 \| 1.97% \| 52,123 \| 0.00% \| 20 row 7 : napa \| 57.01% \| 29,875 \| 35.38% \| 18,539 \| 2.46% \| 1,288 \| 2.93% \| 1,537 \| 2.22% \| 1,161 \| 0.00% \| 0 row 8 : del norte \| 50.92% \| 4,696 \| 39.66% \| 3,658 \| 2.56% \| 236 \| 4.98% \| 459 \| 1.89% \| 174 \| 0.00% \| 0 row 9 : merced \| 47.61% \| 22,010 \| 43.79% \| 20,246 \| 2.79% \| 1,289 \| 2.95% \| 1,365 \| 2.86% \| 1,323 \| 0.00% \| 0 row 10 : nevada \| 46.04% \| 20,044 \| 44.73% \| 19,476 \| 2.90% \| 1,261 \| 3.32% \| 1,444 \| 3.02% \| 1,313 \| 0.00% \| 0 row 11 : placer \| 45.75% \| 40,511 \| 45.73% \| 40,497 \| 2.38% \| 2,109 \| 3.30% \| 2,920 \| 2.84% \| 2,518 \| 0.00% \| 0 row 12 : mariposa \| 45.38% \| 3,681 \| 43.98% \| 3,568 \| 3.09% \| 251 \| 5.07% \| 411 \| 2.48% \| 201 \| 0.00% \| 0 row 13 : sierra \| 45.12% \| 818 \| 44.57% \| 808 \| 2.48% \| 45 \| 3.47% \| 63 \| 4.36% \| 79 \| 0.00% \| 0 row 14 : mono \| 45.11% \| 1,931 \| 44.64% \| 1,911 \| 2.83% \| 121 \| 3.95% \| 169 \| 3.48% \| 149 \| 0.00% \| 0 row 15 : butte \| 44.72% \| 37,396 \| 45.57% \| 38,111 \| 2.96% \| 2,477 \| 3.56% \| 2,980 \| 3.19% \| 2,666 \| 0.00% \| 0 row 16 : trinity \| 42.41% \| 2,743 \| 43.66% \| 2,824 \| 3.80% \| 246 \| 6.29% \| 407 \| 3.83% \| 248 \| 0.00% \| 0 row 17 : yuba \| 40.76% \| 6,890 \| 46.63% \| 7,882 \| 3.07% \| 518 \| 6.09% \| 1,030 \| 3.45% \| 584 \| 0.00% \| 0 ] Execute this SQL based on the above table: select count ( county ) where horne is null	0
[ header: code \| year row 1 : a \| 1927 row 2 : b \| 1928 row 3 : c \| 1929 row 4 : ch \| 1930 row 5 : d \| 1931 row 6 : e \| 1932 row 7 : f \| 1933 row 8 : g \| 1934 row 9 : h \| 1935 row 10 : i \| 1936 row 11 : j \| 1937 row 12 : k \| 1938 row 13 : l \| 1939 row 14 : ll \| 1940 row 15 : m \| 1941 row 16 : n \| 1942 row 17 : n \| 1943 row 18 : o \| 1944 row 19 : p \| 1945 row 20 : q \| 1946 row 21 : r \| 1947 row 22 : s \| 1948 row 23 : t \| 1949 row 24 : u \| 1950 row 25 : v \| 1951 row 26 : x \| 1952 row 27 : y \| 1953 row 28 : z \| 1954 row 29 : a1 \| 1955 row 30 : b1 \| 1956 row 31 : c1 \| 1957 row 32 : ch1 \| None row 33 : d1 \| 1958 row 34 : e1 \| 1959 row 35 : f1 \| 1960 row 36 : g1 \| 1961 row 37 : h1 \| 1962 row 38 : i1 \| 1963 row 39 : j1 \| 1964 row 40 : k1 \| 1965 row 41 : l1 \| 1966 row 42 : ll1 \| None row 43 : m1 \| 1967 row 44 : n1 \| 1968 row 45 : n1 \| 1969 row 46 : o1 \| 1970 row 47 : p1 \| 1971 row 48 : q1 \| 1972 row 49 : r1 \| 1973 row 50 : s1 \| 1974 row 51 : t1 \| 1975 row 52 : u1 \| 1976 row 53 : v1 \| 1977 row 54 : x1 \| 1978 row 55 : y1 \| 1979 row 56 : z1 \| 1980 row 57 : a2 \| 1981 row 58 : b2 \| 1982 row 59 : c2 \| 1983 row 60 : ch2 \| None row 61 : d2 \| 1984 row 62 : e2 \| 1985 row 63 : f2 \| 1986 row 64 : g2 \| 1987 row 65 : h2 \| 1988 row 66 : i2 \| 1989 row 67 : j2 \| 1990 row 68 : k2 \| 1991 row 69 : l2 \| 1992 row 70 : ll2 \| None row 71 : m2 \| 1993 row 72 : n2 \| 1994 row 73 : n2 \| 1995 row 74 : o2 \| 1996 row 75 : p2 \| 1997 row 76 : q2 \| 1998 row 77 : r2 \| 1999 row 78 : s2 \| 2000 row 79 : t2 \| 2001 row 80 : u2 \| 2002 row 81 : v2 \| 2003 row 82 : x2 \| 2004 row 83 : y2 \| 2005 row 84 : z2 \| 2006 ] Execute this SQL based on the above table: select count ( code ) where year = 1994	1
[ header: outcome \| no. \| date \| tournament \| surface \| opponent \| score row 1 : runner-up \| 1 \| 23 august 2004 \| la paz, bolivia \| clay \| jenifer widjaja \| 6-3, 4-6, 0-6 row 2 : runner-up \| 2 \| 6 june 2005 \| santa tecla, e \| clay \| andrea benitez \| 3-6, 0-6 row 3 : runner-up \| 2 \| 22 august 2005 \| bogota, colombia \| clay \| carla tiene \| 4-6, 0-6 row 4 : runner-up \| 4 \| 15 may 2006 \| ciudad obregon, mexico \| hard \| ellah nze \| 6-4, 3-6, 3-6 row 5 : winner \| 1 \| 5 june 2006 \| xalapa, mexico \| hard \| maria irigoyen \| 6-1, 3-6, 6-4 row 6 : winner \| 2 \| 7 september 2009 \| mazatlan, mexico \| hard \| fernanda hermenegildo \| 6-1, 6-2 row 7 : winner \| 3 \| 2 november 2009 \| bogota, colombia \| clay \| yuliana lizarazo \| 7-6(7-5), 6-4 row 8 : runner-up \| 5 \| 16 november 2009 \| asuncion, paraguay \| clay \| paula ormaechea \| 6-4, 4-6, 2-6 row 9 : winner \| 4 \| 8 november 2010 \| bogota, colombia \| clay \| patricia ku flores \| 6-1, 7-5 row 10 : winner \| 5 \| 29 november 2010 \| santiago, chile \| clay \| veronica cepede royg \| 6-2, 6-2 row 11 : winner \| 6 \| 18 july 2011 \| ribeirao preto, brazil \| clay \| vivian segnini \| 6-2, 6-2 row 12 : runner-up \| 6 \| 8 august 2011 \| santa cruz de la sierra \| clay \| maria irigoyen \| 2-6, 3-6 row 13 : winner \| 7 \| 15 august 2011 \| la paz, bolivia \| clay \| maria irigoyen \| 6-0, 7-6(7-1) row 14 : runner-up \| 7 \| 3 october 2011 \| yerevan, armenia \| clay \| julia cohen \| 6-7(6-8), 2-6 row 15 : runner-up \| 8 \| 19 march 2012 \| bangalore, india \| hard \| donna vekic \| 2-6, 4-6 row 16 : runner-up \| 9 \| 8 may 2012 \| brasilia, brazil \| clay \| gabriela paz \| 3-6, 3-6 row 17 : winner \| 8 \| 19 november 2012 \| barranquilla, colombia \| clay \| karolina nowak \| 7-6(7-4), 6-0 row 18 : winner \| 9 \| 21 october 2013 \| bogota, colombia \| hard \| anna katalina alzate \| 6-3, 6-3 row 19 : winner \| 10 \| 11 november 2013 \| lima, peru \| clay \| patricia ku flores \| 7-5, 6-7(4-7), row 20 : winner \| 11 \| 25 november 2013 \| bogota, colombia \| clay \| naomi totka \| 6-1, 6-1 row 21 : runner-up \| 10 \| 2 december 2013 \| barranquilla, colombia \| clay \| maria fernanda herazo \| 4-6, 2-6 ] Execute this SQL based on the above table: select no. where date = '15 august 2011'	7
[ header: year \| single \| peak chart positions fin \| peak chart positions nor \| peak chart positions swe \| album row 1 : 1994 \| "together" \| None \| None \| None \| finally row 2 : 1994 \| "in your dreams" \| None \| None \| None \| finally row 3 : 1995 \| "mirror, mirror" \| None \| 6 \| None \| finally row 4 : 1995 \| "stars in the night" \| None \| None \| None \| finally row 5 : 1996 \| "you never know" \| 12 \| 4 \| None \| finally row 6 : 1996 \| "let it all be sunshine" \| 13 \| None \| None \| finally row 7 : 1997 \| "all my life" \| None \| None \| None \| finally row 8 : 1997 \| "fly to be free" \| None \| None \| None \| finally row 9 : 1998 \| "come'n get me" \| 6 \| None \| None \| the take off row 10 : 1998 \| "sunny holiday" \| None \| None \| None \| the take off row 11 : 1999 \| "ticket to fly" \| None \| None \| 48 \| the take off row 12 : 1999 \| "once you pop (you can't stop \| None \| None \| None \| express row 13 : 1999 \| "this is how we do it" \| None \| None \| None \| express row 14 : 2000 \| "push it" \| None \| None \| 53 \| express row 15 : 2000 \| "sha la long" \| None \| None \| None \| express row 16 : 2000 \| "come on everybody" \| None \| None \| None \| express row 17 : 2001 \| "i like it" \| None \| None \| None \| in action ] Execute this SQL based on the above table: select avg ( peak chart positions fin )	10.333333333333334
[ header: year \| fbs opponent \| result \| opponent's conference \| opponent's head coach \| charleston southern's head coach row 1 : 2015 \| alabama crimson tide \| None \| sec \| nick saban \| jamey chadwell row 2 : 2014 \| georgia bulldogs \| None \| sec \| mark richt \| jamey chadwell row 3 : 2014 \| vanderbilt commodores \| None \| sec \| derek mason \| jamey chadwell row 4 : 2013 \| colorado buffaloes \| l, 43-10 \| pac-12 \| mike macintyre \| jamey chadwell row 5 : 2012 \| illinois fighting illini \| l, 44-0 \| big ten \| tim beckman \| jay mills row 6 : 2011 \| ucf knights \| l, 62-0 \| c-usa \| george o'leary \| jay mills row 7 : 2011 \| florida state seminoles \| l, 62-10 \| acc \| jimbo fisher \| jay mills row 8 : 2010 \| kentucky wildcats \| l, 49-21 \| sec \| joker phillips \| jay mills row 9 : 2010 \| hawaii warriors \| l, 66-7 \| wac \| greg mcmackin \| jay mills row 10 : 2009 \| south florida bulls \| l, 59-0 \| big east \| jim leavitt \| jay mills row 11 : 2009 \| florida gators \| l, 62-3 \| sec \| urban meyer \| jay mills row 12 : 2008 \| miami redhawks \| l, 38-27 \| mac \| don treadwell \| jay mills row 13 : 2008 \| miami hurricanes \| l, 52-7 \| acc \| randy shannon \| jay mills row 14 : 2007 \| hawaii warriors \| l, 66-10 \| wac \| june jones \| jay mills row 15 : 2003 \| south florida bulls \| l, 55-7 \| big east \| jim leavitt \| jay mills row 16 : 2002 \| south florida bulls \| l, 56-6 \| big east \| jim leavitt \| david dowd ] Execute this SQL based on the above table: select count ( * ) where fbs opponent > 190	16
[ 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 total finals group by total finals order by count ( location ) desc limit 1	1
[ header: rank \| bib \| athlete \| country \| time \| deficit row 1 : None \| 5 \| sjur røthe \| norway \| 1:13:11.3 \| 2 row 2 : 4 \| 4 \| petter northug \| norway \| 1:13:14.5 \| 5.2 row 3 : 12 \| 41 \| tord asle gjerdalen \| norway \| 1:13:22.7 \| 13.4 row 4 : 15 \| 23 \| johannes durr \| austria \| 1:13:26.0 \| 16.7 row 5 : 16 \| 13 \| giorgio di centa \| italy \| 1:13:27.1 \| 17.8 row 6 : 17 \| 19 \| matti heikkinen \| finland \| 1:13:30.0 \| 20.7 row 7 : 18 \| 26 \| daniel richardsson \| sweden \| 1:13:31.1 \| 21.8 row 8 : 23 \| 12 \| lukas bauer \| czech republic \| 1:13:36.9 \| 27.6 row 9 : 27 \| 43 \| lari lehtonen \| finland \| 1:13:54.9 \| 45.6 row 10 : 28 \| 31 \| martin jaks \| czech republic \| 1:13:55.6 \| 46.3 row 11 : 31 \| 44 \| jiri magal \| czech republic \| 1:14:00.8 \| 51.5 row 12 : 32 \| 16 \| ivan babikov \| canada \| 1:14:03.0 \| 53.7 row 13 : 38 \| 33 \| martin bajcicak \| slovakia \| 1:15:25.7 \| +2:16.4 row 14 : 39 \| 51 \| andrew musgrave \| great britain \| 1:15:33.4 \| +2:24.1 row 15 : 47 \| 36 \| andy kuhne \| germany \| 1:17:02.2 \| +3:52.9 row 16 : 52 \| 34 \| graham nishikawa \| canada \| 1:17:18.9 \| +4:09.6 row 17 : 57 \| 65 \| philipp halg \| liechtenstein \| 1:18:19.6 \| +5:10.3 row 18 : 59 \| 62 \| sergey mikayelyan \| armenia \| 1:19:04.3 \| +5:55.0 row 19 : 62 \| 61 \| javier gutierrez \| spain \| 1:19:48.7 \| +6:39.4 row 20 : 66 \| 59 \| ondrej horyna \| czech republic \| 1:20:23.9 \| +7:14.6 row 21 : 67 \| 69 \| imanol rojo \| spain \| 1:20:25.5 \| +7:16.2 row 22 : 69 \| 78 \| andrew pohl \| new zealand \| 1:20:48.2 \| +7:38.9 row 23 : 70 \| 84 \| callum smith \| great britain \| 1:22:01.3 \| +8:52.0 row 24 : 72 \| 85 \| artur yeghoyan \| armenia \| 1:22:22.9 \| +9:13.6 row 25 : None \| 77 \| andrej buric \| croatia \| lap \| None row 26 : None \| 79 \| viorel andrei palici \| romania \| lap \| None row 27 : None \| 81 \| tadevos poghosy \| armenia \| lap \| None row 28 : None \| 89 \| mark van der ploeg \| australia \| lap \| None row 29 : None \| 90 \| cesar baena \| venezuela \| lap \| None row 30 : None \| 91 \| viossi-akpedje mad \| togo \| lap \| None row 31 : None \| 94 \| dachhiri sherpa \| nepal \| lap \| None row 32 : None \| 72 \| oleksii kraso \| ukraine \| dnf \| None ] Execute this SQL based on the above table: select count ( country ) group by time order by count ( country ) desc limit 1	24
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 1979 \| grandma's marathon \| duluth, united states \| 1st \| marathon \| 2:37:37 row 2 : 1980 \| grandma's marathon \| duluth, united states \| 1st \| marathon \| 2:38:35 row 3 : 1981 \| grandma's marathon \| duluth, united states \| 1st \| marathon \| 2:29:35 row 4 : 1984 \| boston marathon \| boston, united states \| 1st \| marathon \| 2:29:28 row 5 : 1984 \| olympic games \| los angeles, united states \| 5th \| marathon \| 2:28:54 row 6 : 1986 \| osaka ladies marathon \| osaka, japan \| 1st \| marathon \| 2:30:24 row 7 : 1986 \| commonwealth games \| edinburgh, scotl \| 2nd \| marathon \| 2:28:17 row 8 : 1987 \| osaka ladies marathon \| osaka, japan \| 1st \| marathon \| 2:30:40 row 9 : 1987 \| world championships \| rome, italy \| 21st \| 10,000 m \| 34:07.26 row 10 : 1988 \| olympic games \| seoul, south korea \| 33rd \| marathon \| 2:37:52 row 11 : 1989 \| osaka ladies marathon \| osaka, japan \| 1st \| marathon \| 2:30:21 row 12 : 1989 \| hokkaido marathon \| sapporo, japan \| 1st \| marathon \| 2:36:39 row 13 : 1991 \| hokkaido marathon \| sapporo, japan \| 1st \| marathon \| 2:33:20 row 14 : 1992 \| olympic games \| barcelona, spain \| 3rd \| marathon \| 2:33:59 row 15 : 1996 \| olympic games \| atlanta, united states \| 46th \| marathon \| 2:42:21 ] Execute this SQL based on the above table: select max ( notes ) where event = 'marathon'	2
[ 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 year <= 1726	0
[ header: network name \| flagship \| programming type \| owner \| affiliates row 1 : canal de las estrellas \| xew 2 \| soap operas, retro movies and sports \| televisa \| 1 row 2 : canal 5 \| xhgc 5 \| cartoons, movies, and series \| televisa \| 1 row 3 : azteca 7 \| xhimt 7 \| sports, series, and movies \| tv azteca \| 1 row 4 : galavision \| xeq 9 \| retro programming and sports \| televisa \| 1 row 5 : once tv \| xeipn 11 \| educational and cultural \| national polytechnic institute \| 1 row 6 : azteca 13 \| xhdf 13 \| news, soap operas, and sports \| tv azteca \| 1 row 7 : independent \| None \| varies \| independent \| 2 ] Execute this SQL based on the above table: select flagship where flagship in ( 'xew 2' , 'None' ) order by affiliates desc limit 1	xew 2
[ header: # \| employer \| # of employees row 1 : 1 \| medline \| 1200 row 2 : 2 \| mundelein park district \| 422 row 3 : 3 \| amcor \| 350 row 4 : 4 \| fremont school district 79 \| 287 row 5 : 5 \| university of saint mary of the lake \| 220 row 6 : 6 \| mundelein elementary school district 75 \| 213 row 7 : 7 \| mundelein high school \| 211 row 8 : 8 \| village of mundelein \| 183 ] Execute this SQL based on the above table: select employer where employer in ( 'fremont school district 79' , 'mundelein high school' ) order by # of employees desc limit 1	fremont school district 79
[ header: class \| no \| team \| drivers \| chassis \| engine \| laps row 1 : gt 1.6 \| 186 \| luigi rinaldi \| luigi rinaldi mario \| alfa romeo gta \| alfa romeo 1.6 i \| 6 row 2 : p 3.0 \| 14 \| autodelta spa \| toine hezemans masten \| alfa romeo t33/3 \| alfa romeo 3.0l \| 5 row 3 : gt 1.6 \| 188 \| etna \| checco d'angelo \| alfa romeo gta \| alfa romeo 1.6l \| 5 row 4 : gt 1.3 \| 288 \| v10 kleber \| ferdi bokmann hans \| simca 1300 \| simca 1.3l i4 \| 5 row 5 : gt 2.0 \| 128 \| None \| ignazio capuano \| porsche 911s \| porsche 2.0l flat-6 \| 4 row 6 : gt 1.6 \| 180 \| scuderia pegaso \| paolo de luca giu \| alfa romeo gta \| alfa romeo 1.6l \| 4 row 7 : s 1.6 \| 156 \| etna \| giuseppe d'amico \| alfa romeo giuli \| alfa romeo 1.6l \| 3 row 8 : gt 1.6 \| 198 \| salvatore gagliano \| salvatore gagliano alfons \| alfa romeo gta \| alfa romeo 1.6l \| 3 row 9 : p 1.0 \| 254 \| romano martini \| francesco patane "oras \| fiat-abarth 1000sp \| abarth 1.0l i4 \| 3 row 10 : gt 1.6 \| 264 \| romano martini \| romano martini alessandro \| ats 1000 sp \| ford 1.0l i4 \| 3 row 11 : p 3.0 \| 38 \| abarth-osella \| arturo merzario johan \| abarth 3000sp \| abarth 3.0l v8 \| 2 row 12 : p 1.0 \| 256 \| scuderia brescia cor \| luigi moreschi "patrizia \| ams sp \| ford 1.0l i4 \| 2 row 13 : p 1.0 \| 266 \| "gero" \| "gero" "roger" \| de sanctis \| ford 1.0l i4 \| 2 row 14 : gt 1.6 \| 276 \| scuderia pegaso \| antonio catalano marc \| lancia fulvia hf \| lancia 1.6l v4 \| 2 row 15 : s 1.3 \| 232 \| aldo bersano \| aldo bersano willi \| abarth 1300s \| abarth 1.3l i4 \| 1 row 16 : gt 1.3 \| 272 \| jolly club \| antonio trenti alber \| lancia fulvia hf \| lancia 1.6l v4 \| 1 row 17 : p 3.0 \| 20 \| porsche system \| vic elford hans her \| porsche 908/03 \| porsche 3.0l flat-8 \| 0 ] Execute this SQL based on the above table: select team where no = 188	etna
[ header: game \| date \| visitor \| score \| home \| decision \| attendance \| record \| points row 1 : 34 \| january 3 \| ny rangers \| 2 - 4 \| philadelphia \| parent \| 17007 \| 22-8-4 \| 48 row 2 : 35 \| january 5 \| philadelphia \| 3 - 3 \| minnesota \| parent \| 15296 \| 22-8-5 \| 49 row 3 : 36 \| january 7 \| philadelphia \| 1 - 2 \| montreal \| parent \| 19040 \| 22-9-5 \| 49 row 4 : 37 \| january 10 \| minnesota \| 4 - 7 \| philadelphia \| parent \| 17007 \| 23-9-5 \| 51 row 5 : 38 \| january 11 \| philadelphia \| 7 - 6 \| atlanta \| taylor \| 5141 \| 24-9-5 \| 53 row 6 : 39 \| january 13 \| atlanta \| 0 - 1 \| philadelphia \| parent \| 17007 \| 25-9-5 \| 55 row 7 : 40 \| january 17 \| buffalo \| 2 - 7 \| philadelphia \| parent \| 17007 \| 26-9-5 \| 57 row 8 : 41 \| january 19 \| los angeles \| 0 - 2 \| philadelphia \| parent \| 17007 \| 27-9-5 \| 59 row 9 : 42 \| january 20 \| pittsburgh \| 5 - 3 \| philadelphia \| parent \| 17007 \| 27-10-5 \| 59 row 10 : 43 \| january 22 \| philadelphia \| 3 - 2 \| vancouver \| taylor \| 15570 \| 28-10-5 \| 61 row 11 : 44 \| january 24 \| philadelphia \| 4 - 4 \| los angeles \| parent \| 14343 \| 28-10-6 \| 62 row 12 : 45 \| january 25 \| philadelphia \| 5 - 0 \| california \| parent \| 10776 \| 29-10-6 \| 64 row 13 : 46 \| january 27 \| philadelphia \| 3 - 5 \| boston \| taylor \| 15003 \| 29-11-6 \| 64 row 14 : 47 \| january 31 \| buffalo \| 3 - 4 \| philadelphia \| parent \| 17007 \| 30-11-6 \| 66 ] Execute this SQL based on the above table: select decision where decision != 'parent' order by points desc limit 1	taylor
[ header: no. \| title (latin) \| title (english translation) \| subject \| date row 1 : 1 \| ad beatissimi aposto \| to the chair of the prince of the apostles \| appealing for peace \| 1 november 1914 row 2 : 2 \| humani generis redemptionem \| redemption of the human race \| on preaching the word of god \| 15 june 1917 row 3 : 3 \| quod iam diu \| None \| on the future peace conference \| 1 december 1918 row 4 : 4 \| in hac tanta \| None \| on st. boniface \| 14 may 1919 row 5 : 5 \| paterno iam diu \| None \| on the children of central europe \| 24 november 1919 row 6 : 6 \| pacem, dei munus pulcher \| peace, the beautiful gift of god \| on peace and christian reconciliation \| 23 may 1920 row 7 : 7 \| spiritus paraclitus \| the spirit, the paraclete \| on st. jerome \| 15 september 1920 row 8 : 8 \| principi apostolorum p \| to peter, prince of the apostles \| on st. ephram the \| 5 october 1920 row 9 : 9 \| annus iam plenus \| None \| on children in central europe \| 1 december 1920 row 10 : 10 \| sacra propediem \| None \| on the third order of st. fr \| 6 january 1921 row 11 : 11 \| in praeclara summorum \| None \| on dante \| 30 april 1921 row 12 : 12 \| fausto appetente die \| None \| on st. dominic \| 29 june 1921 ] Execute this SQL based on the above table: select title (latin) where subject = 'on st. jerome'	spiritus paraclitus
[ header: rank \| player \| county \| tally \| total \| opposition row 1 : 1 \| eamonn flynn \| dublin \| 3-5 \| 14 \| wexford row 2 : 1 \| charlie mccarthy \| cork \| 2-8 \| 14 \| galway row 3 : 3 \| paddy fahy \| galway \| 2-7 \| 13 \| kildare row 4 : 5 \| charlie mccarthy \| cork \| 3-3 \| 12 \| offaly row 5 : 5 \| michael moroney \| clare \| 2-6 \| 12 \| dublin row 6 : 5 \| declan lovett \| kerry \| 1-9 \| 12 \| galway row 7 : 9 \| ger cuddy \| laois \| 3-2 \| 11 \| wicklow row 8 : 9 \| pat enright \| waterford \| 2-5 \| 11 \| kerry row 9 : 9 \| pat enright \| waterford \| 1-8 \| 11 \| laois row 10 : 9 \| johnny walsh \| kildare \| 0-11 \| 11 \| waterford row 11 : 9 \| eddie keher \| kilkenny \| 0-11 \| 11 \| wexford row 12 : 14 \| brendan cummins \| cork \| 3-1 \| 10 \| wexford row 13 : 14 \| p. j. molloy \| galway \| 3-1 \| 10 \| kerry row 14 : 14 \| nick behan \| kildare \| 3-1 \| 10 \| kerry row 15 : 14 \| seanie o'leary \| cork \| 3-1 \| 10 \| limerick row 16 : 14 \| michael keating \| tipperary \| 2-4 \| 10 \| wexford row 17 : 14 \| declan lovett \| kerry \| 2-4 \| 10 \| waterford row 18 : 14 \| michael keating \| tipperary \| 2-4 \| 10 \| dublin row 19 : 14 \| eddie keher \| kilkenny \| 2-4 \| 10 \| dublin row 20 : 14 \| mick dwan \| kildare \| 2-4 \| 10 \| antrim row 21 : 14 \| charlie mccarthy \| cork \| 1-7 \| 10 \| kilkenny row 22 : 14 \| paddy fahy \| galway \| 0-10 \| 10 \| kerry row 23 : 14 \| johnny walsh \| kildare \| 0-10 \| 10 \| westmeath row 24 : 27 \| p flynn \| wexford \| 3-0 \| 9 \| offaly row 25 : 27 \| n casey \| clare \| 3-0 \| 9 \| cork row 26 : 27 \| willie moore \| limerick \| 3-0 \| 9 \| cork row 27 : 27 \| ger cuddy \| laois \| 3-0 \| 9 \| westmeath row 28 : 27 \| tom ryan \| galway \| 3-0 \| 9 \| laois row 29 : 27 \| seanie o'leary \| cork \| 3-0 \| 9 \| offaly row 30 : 27 \| p flynn \| wexford \| 2-3 \| 9 \| cork row 31 : 27 \| eddie keher \| kilkenny \| 2-3 \| 9 \| limerick row 32 : 27 \| johnny walsh \| kildare \| 1-6 \| 9 \| galway row 33 : 27 \| francis loughnane \| tipperary \| 1-6 \| 9 \| cork row 34 : 27 \| richie bennis \| limerick \| 1-6 \| 9 \| cork row 35 : 27 \| pat enright \| waterford \| 0-9 \| 9 \| kildare row 36 : 27 \| johnny walsh \| kildare \| 0-9 \| 9 \| kerry ] Execute this SQL based on the above table: select count ( opposition ) where total not null	36
[ header: election \| party name \| total votes \| share of votes \| seats \| share of seats \| party leader(s) \| notes row 1 : 1961 \| progressive party \| 69045 \| 8.6% \| 1 \| 0.6% \| jan steytler \| national party (np) victory row 2 : 1966 \| progressive party \| 39717 \| 3.1% \| 1 \| 0.6% \| jan steytler \| np victory row 3 : 1970 \| progressive party \| 51760 \| 3.5% \| 1 \| 0.6% \| jan steytler \| np victory row 4 : 1974 \| progressive party \| 58768 \| 5.3% \| 7 \| 4.1% \| colin eglin \| np victory row 5 : 1977 \| progressive federal party \| 177705 \| 16.7% \| 17 \| 10.3% \| colin eglin \| np victory; pfp gains row 6 : 1981 \| progressive federal party \| 265297 \| 19.4% \| 27 \| 15.2% \| frederik van zyl slabbert \| np victory; pfp remains row 7 : 1987 \| progressive federal party \| 288579 \| 13.9% \| 20 \| 11.2% \| colin eglin \| np victory; pfp lose row 8 : 1989 \| democratic party \| 431444 \| 20.0% \| 34 \| 19.1% \| zach de beer, denis wor \| np victory ] Execute this SQL based on the above table: select share of votes where share of seats = '11.2%' and share of votes = '13.9%'	13.9%
[ header: record \| date and time \| competition \| home or away \| opponent \| score row 1 : biggest win \| 19.10.1912 at 15:00 \| spartan league \| home \| aylesbury united \| 14-0 row 2 : biggest defeat \| 09.11.1946 at 15:00 \| isthmian league \| home \| wimbledon \| 0-11 row 3 : most goals in one match \| 22.11.1922 at 15:00 \| fa cup / 4th q \| away \| dulwich hamlet \| 7-8 row 4 : biggest home win \| 19.10.1912 at 15:00 \| spartan league \| home \| aylesbury united \| 14-0 row 5 : biggest home defeat \| 09.11.1946 at 15:00 \| isthmian league \| home \| wimbledon \| 0-11 row 6 : biggest away win \| 24.11.1970 at 15:00 \| mithras cup 2nd r \| away \| ruislip manor \| 10-0 row 7 : biggest away win \| 17.04.1920 at 15:00 \| spartan league \| away \| tufnell spartans \| 11-1 row 8 : biggest away defeat \| 04.11.2008 at 19:45 \| herts charity cup \| away \| hemel hempstead town \| 0-10 ] Execute this SQL based on the above table: select score where competition = 'isthmian league'	0-11, 0-11
[ header: year \| tournament \| venue \| result \| extra row 1 : 2002 \| european indoor championships \| vienna, austria \| 5th \| None row 2 : 2003 \| universiade \| daegu, south korea \| 3rd \| None row 3 : 2004 \| world indoor championships \| budapest, hungary \| 1st \| 2.04 pbi row 4 : 2004 \| summer olympics \| athens, greece \| 1st \| 2.06 nr row 5 : 2004 \| world athletics final \| monte carlo, monaco \| 1st \| None row 6 : 2006 \| world indoor championships \| moscow, russia \| 1st \| 2.02 row 7 : 2006 \| european championships \| gothenburg, sweden \| 5th \| 1.99 m row 8 : 2006 \| world athletics final \| stuttgart, germany \| 4th \| None row 9 : 2006 \| world cup \| athens, greece \| 1st \| 1.97 row 10 : 2007 \| world championships \| osaka, japan \| 4th \| None row 11 : 2008 \| summer olympics \| beijing, china \| 4th \| 2.01 row 12 : 2011 \| world championships \| daegu, korea \| 4th \| 1.97 ] Execute this SQL based on the above table: select year where tournament = 'summer olympics'	2004, 2008
[ header: name \| service \| rank \| role and unit \| date of award \| notes \| image row 1 : erdmann gabriel \| heer \| oberfeldwebel \| platoon leader in the ii. \| 30 august 1941 \| None \| row 2 : georg gartner \| heer \| hauptmann \| commander of the i./sturm- \| 21 september 1944 \| None \| row 3 : otto gaillinger \| heer \| oberleutnant \| leader of the 1./infanterie-bat \| 8 october 1943 \| killed in action 29 september 1943 \| row 4 : wilhelm gaißer \| heer \| leutnant of the reserves \| leader of the 1./grenadier- \| 17 march 1945 \| None \| row 5 : adolf galland \| luftwaffe \| major \| gruppenkommandeur of the i \| 29 july 1940 \| awarded 3rd oak leaves 24 september 1940 \| row 6 : franz gapp \| luftwaffe \| oberfeldwebel \| pilot in the 8./kampfgeschwader \| 18 september 1943 \| None \| row 7 : heinrich gath \| heer \| stabsfeldwebel \| platoon leader in the 2./panzer \| 11 october 1943 \| None \| row 8 : alfred gause \| heer \| generalmajor \| chief of the generalstab of the panzer \| 13 december 1941 \| None \| row 9 : gebhard? \| waffen-ss \| ss-oberscharfuhrer \| platoon leader in the 2./ss \| 6 may 1945 \| None \| row 10 : oskar genrich \| luftwaffe \| oberleutnant \| pilot in the 2.(f)/aufkla \| 3 november 1942 \| None \| row 11 : karl-heinz giff \| heer \| leutnant of the reserves \| vorgeschobener beobachter ( \| 18 november 1944 \| None \| row 12 : hans gobel \| heer \| hauptmann \| commander of the ii./grena \| 29 april 1945 \| None \| row 13 : siegwart goller? \| heer \| hauptmann of the reserves \| commander of the ii./gebir \| 9 may 1945 \| None \| row 14 : helmut gortz \| luftwaffe \| feldwebel \| platoon leader in the 3./fallschirm \| 24 may 1940 \| None \| row 15 : franz gotz \| luftwaffe \| oberleutnant \| staffelkapitan of the 9./ \| 4 september 1942 \| None \| row 16 : albert graf von der goltz \| heer \| major of the reserves \| commander of the i./infanterie \| 7 may 1942 \| awarded 316th oak leaves 2 november \| row 17 : heinz graeber \| luftwaffe \| oberfeldwebel \| radio operator in the 15./kampfgeschwa \| 30 september 1943 \| None \| ] Execute this SQL based on the above table: select image where service = 'heer'	, , , , , , , , ,
[ header: year \| award ceremony \| category \| film/show \| result row 1 : 2005 \| indian television academy awards \| ita award for best actress - comedy \| sarabhai vs \| won row 2 : 2005 \| indian telly awards \| best actress in a comic role \| sarabhai vs \| won row 3 : 2006 \| indian television academy awards \| ita award for best actress - comedy \| sarabhai vs \| nominated row 4 : 2009 \| screen awards \| screen award for best supporting actress \| jaane tu ya ja \| nominated row 5 : 2009 \| filmfare awards \| filmfare best supporting actress award \| jaane tu ya ja \| nominated row 6 : 2011 \| filmfare awards \| filmfare best supporting actress award \| golmaal 3 \| nominated row 7 : 2011 \| screen awards \| screen award for best supporting actress \| golmaal 3 \| nominated row 8 : 2011 \| zee cine awards \| zee cine award for best actor in \| golmaal 3 \| nominated row 9 : 2011 \| apsara film & television producers \| apsara award for best actress in \| golmaal 3 \| nominated row 10 : 2011 \| 12th iifa awards \| iifa award for best supporting actress \| golmaal 3 \| nominated ] Execute this SQL based on the above table: select film/show order by year limit 1	sarabhai vs sarabhai
[ header: date \| winner \| runner-up \| result \| site \| attendance row 1 : february 11, 1978 \| #2 maryland \| #1 nc state \| 89-82 \| charlottesville, virginia \| 1500 row 2 : february 10, 1979 \| #1 maryland \| #2 nc state \| 75-73 \| raleigh, north carolina \| 3500 row 3 : february 10, 1980 \| #1 nc state \| #2 maryland \| 85-75 \| college park, maryland \| None row 4 : february 14, 1981 \| #3 maryland \| #4 nc state \| 64-63 \| clemson, south carolina \| 300 row 5 : march 6, 1983 \| #3 maryland \| #1 nc state \| 84-81 \| fayetteville, north carolin \| 2134 row 6 : march 4, 1984 \| #5 north carolina \| #3 nc state \| 99-76 \| fayetteville, north carolin \| 3733 row 7 : march 3, 1986 \| #5 maryland \| #2 north carolina \| 92-74 \| fayetteville, north carolin \| 2632 row 8 : march 2, 1987 \| #2 nc state \| #1 virginia \| 57-56 \| fayetteville, north carolin \| 2987 row 9 : march 7, 1988 \| #2 maryland \| #1 virginia \| 76-70 \| fayetteville, north carolin \| 1223 row 10 : march 4, 1991 \| #3 nc state \| #4 clemson \| 84-61 \| fayetteville, north carolin \| 4102 row 11 : march 9, 1992 \| #1 virginia \| #7 georgia tech \| 70-69 \| rock hill, south carolina \| 4154 row 12 : march 8, 1993 \| #1 virginia \| #2 maryland \| 106-103 3ot \| rock hill, south carolina \| 3716 row 13 : march 7, 1994 \| #2 north carolina \| #1 virginia \| 77-60 \| rock hill, south carolina \| 4386 row 14 : march 5, 1995 \| #2 north carolina \| #4 duke \| 95-70 \| rock hill, south carolina \| 5724 row 15 : march 2, 1997 \| #1 north carolina \| #6 clemson \| 62-58 \| charlotte, north carolina \| 5543 row 16 : march 1, 1998 \| #4 north carolina \| #2 clemson \| 81-50 \| charlotte, north carolina \| 5534 row 17 : march 5, 2001 \| #1 duke \| #3 nc state \| 57-45 \| greensboro, north carolina \| 8933 row 18 : march 4, 2002 \| #1 duke \| #2 north carolina \| 87-80 \| greensboro, north carolina \| 9204 row 19 : march 10, 2003 \| #1 duke \| #2 north carolina \| 77-59 \| greensboro, north carolina \| 11127 row 20 : march 7, 2005 \| #1 north carolina \| #2 duke \| 88-67 \| greensboro, north carolina \| 11578 row 21 : march 5, 2006 \| #1 north carolina \| #3 maryland \| 91-80 \| greensboro, north carolina \| 10746 row 22 : march 4, 2007 \| #2 north carolina \| #4 nc state \| 60-54 \| greensboro, north carolina \| 11538 row 23 : march 9, 2008 \| #1 north carolina \| #3 duke \| 86-73 \| greensboro, north carolina \| 11132 row 24 : march 7, 2010 \| #1 duke \| #6 nc state \| 70-60 \| greensboro, north carolina \| 9432 row 25 : march 6, 2011 \| #1 duke \| #6 north carolina \| 81-67 \| greensboro, north carolina \| 9890 row 26 : march 4, 2012 \| #3 maryland \| #4 georgia tech \| 68-65 \| greensboro, north carolina \| 9122 row 27 : march 10, 2013 \| #1 duke \| #3 north carolina \| 92-73 \| greensboro, north carolina \| 8166 ] Execute this SQL based on the above table: select count ( runner-up ) where attendance > 11132	2
[ header: year \| winners \| score \| runners up \| notes row 1 : 1947 \| wellington town reserves \| 4-1 \| walsall wood \| None row 2 : 1949 \| bilston town \| 1-0 \| oswestry town \| None row 3 : 1950 \| brereton social drew \| None \| None \| None row 4 : 1951 \| bloxwich strollers \| 1-0 \| walsall wood \| after extra time row 5 : 1955 \| shelfield athletic \| 5-1 \| walsall trinity \| None row 6 : 1956 \| shelfield athletic \| 2-0 \| ogley hay \| None row 7 : 1959 \| shelfield athletic \| 4-0 \| walsall wood \| None row 8 : 1960 \| shelfield athletic \| 3-0 \| walsall wood \| None row 9 : 1965 \| rushall olympic \| 2-1 \| brereton social \| None row 10 : 1966 \| lower gornal athletic \| 4-2 \| kidderminster harriers \| after extra time row 11 : 1968 \| wrockwardine wood \| 2-1 \| tamworth \| None row 12 : 1971 \| baddesley colliery \| 4-3 \| atherstone town \| aggregate score, 1st leg 2-2, row 13 : 1973 \| bilston town \| 1-0 \| darlaston \| None row 14 : 1974 \| brereton social \| 3-2 \| warley county borough \| after extra time row 15 : 1977 \| blakenall \| 1-0 \| bilston town \| replay, 1st game 0-0 a row 16 : 1978 \| sutton coldfield town \| 2-0 \| alvechurch \| None row 17 : 1980 \| sutton coldfield town \| 1-0 \| rushall olympic \| None row 18 : 1981 \| blakenall \| 2-1 \| sutton coldfield town \| replay, 1st game 1-1 a row 19 : 1983 \| coleshill town \| 4-3 \| wolverhampton united \| None row 20 : 1984 \| atherstone town \| 4-0 \| tividale \| None row 21 : 1985 \| harrisons \| 2-0 \| wolverhampton united \| None row 22 : 1987 \| boldmere st. michaels \| 2-0 \| bloxwich town \| None row 23 : 1990 \| meir ka \| 2-1 \| rushall olympic \| replay, 1st game 0-0 a row 24 : 1991 \| chasetown \| 1-0 \| blakenall \| after extra time row 25 : 1992 \| armitage 90 \| 3-2 \| meir ka \| after extra time row 26 : 1993 \| chasetown \| 3-1 \| pelsall villa \| None row 27 : 1994 \| newcastle town \| 1-0 \| oldbury united \| after extra time row 28 : 1995 \| newcastle town \| 1-1 \| knypersley victoria \| after extra time, newcastle won on penalties row 29 : 1996 \| blakenall \| 0-0 \| newcastle town \| after extra time, blakenall won on row 30 : 1998 \| blakenall \| 2-1 \| halesowen harriers \| None row 31 : 1999 \| blakenall \| 3-2 \| meir ka \| None row 32 : 2000 \| rushall olympic \| 2-2 \| rocester \| after extra time, rushall won 5-4 on row 33 : 2001 \| wolverhampton casuals \| 2-0 \| sutton coldfield town \| None row 34 : 2002 \| bolehall swifts \| 4-4 \| tividale \| after extra time, bolehall won 4 row 35 : 2004 \| sutton coldfield town \| 3-1 \| tividale \| None row 36 : 2005 \| chasetown \| 2-1 \| tividale \| None row 37 : 2006 \| boldmere st michaels \| 1-0 \| tipton town \| None ] Execute this SQL based on the above table: select count ( notes ) where year = 0	0
[ header: date \| opponent# \| rank# \| site \| result \| attendance row 1 : 1959-09-26 \| at #16 georgia tech \| #6 \| grant field • atlanta, ga \| l 12-16 \| 43000 row 2 : 1959-10-03 \| #15 navy \| None \| cotton bowl • dallas, t \| w 20-7 \| 46000 row 3 : 1959-10-09 \| missouri \| #15 \| cotton bowl • dallas, t \| w 23-2 \| 33000 row 4 : 1959-10-17 \| at rice \| #16 \| rice stadium • houston, tx \| t 13-13 \| 65000 row 5 : 1959-10-24 \| texas tech \| None \| cotton bowl • dallas, t \| w 21-13 \| 30000 row 6 : 1959-10-31 \| #4 texas \| None \| cotton bowl • dallas, t \| l 0-21 \| 65000 row 7 : 1959-11-07 \| at texas a&m \| None \| kyle field • college station, t \| w 14-11 \| 19000 row 8 : 1959-11-14 \| #20 arkansas \| None \| cotton bowl • dallas, t \| l 14-17 \| 31000 row 9 : 1959-11-21 \| at baylor \| None \| floyd casey stadium • waco, \| w 30-14 \| 25000 row 10 : 1959-11-28 \| at #8 texas christi \| None \| amon g. carter stadium • for \| l 0-19 \| 40000 ] Execute this SQL based on the above table: select attendance where site = 'amon g. carter stadium • fort worth, tx'	40000
[ header: artist \| song \| soundtrack \| episode(s) \| notes row 1 : the 88 \| "hide another mistake" \| None \| 3.01 \| row 2 : alexi murdoch \| "all my days" \| None \| 4.03 \| row 3 : april march \| "garcon glacon" \| None \| 4.11 \| row 4 : athlete \| "tourist" \| None \| 2.12 \| row 5 : beulah \| "popular mechanics for lovers" \| mix 2 \| 1.15 \| row 6 : bloc party \| "i still remember" \| None \| 4.14 \| row 7 : the bravery \| "an honest mistake" \| None \| 2.24 \| row 8 : carmen rizzo (featuring \| "travel in time" \| None \| 3.07 \| row 9 : cham pain \| "show me" \| None \| 1.01 \| row 10 : clearlake \| "good clean fun" (nobody remix \| None \| 4.06 \| row 11 : cobra verde \| "get the party started" \| None \| 3.02 \| row 12 : cobra verde \| "waiting for a girl like you" \| None \| 3.17 \| row 13 : damien rice \| "cannonball" \| None \| 1.17 \| row 14 : death cab for cutie \| "a movie script ending" \| None \| 1.07, 2.20 \| row 15 : death cab for cutie \| "the sound of settling" \| None \| 2.2 \| row 16 : firstcom \| "hannukah lights" \| None \| 1.13 \| row 17 : firstcom \| "silent night" \| None \| 1.13, 3.10 \| row 18 : the go find \| "summer quest" \| None \| 2.11 \| row 19 : guster \| "keep it together" \| None \| 1.08 \| row 20 : ian broudie \| "song for no one" \| None \| 3.01 \| row 21 : imogen heap \| "hide and seek" \| mix 5 \| 2.24 \| row 22 : the invisible men \| "make it bounce" \| None \| 3.09 \| row 23 : james horner \| "sing, sing, sing, (with \| None \| 1.03 \| row 24 : jet \| "shine on" \| None \| 4.16 \| row 25 : jimmy eat world \| "last christmas" \| mix 3 \| None \| row 26 : journey \| "open arms" \| None \| 2.08 \| row 27 : juana molina \| "tres cosas" \| None \| 2.2 \| row 28 : the long winters \| "christmas with you is best" \| mix 3 \| None \| row 29 : love as laughter \| "dirty lives" \| None \| 2.23 \| row 30 : the m's \| "come into our room" (clinic \| mix 6 \| None \| row 31 : mastersource \| "something for you" \| None \| 1.21 \| row 32 : mastersource \| "walkin' the walk" \| None \| 1.21 \| row 33 : pennywise \| "knocked down" \| None \| 3.06 \| row 34 : the pogues \| "love you 'till the end \| None \| 4.04 \| row 35 : poster children \| "western springs" \| None \| 2.1 \| row 36 : ranchera all stars \| "pa todo el an \| None \| 4.04 \| row 37 : the shins \| "turn on me" \| None \| 4.1 \| row 38 : soledad brothers \| "cage that tiger" \| None \| 2.22 \| row 39 : youth group \| "start today tomorrow" \| None \| 4.13 \| ] Execute this SQL based on the above table: select count ( * ) where soundtrack = 'mix 2'	1
[ header: name \| first held \| country \| earliest attendance figure known \| 1998 attendance \| 2000 attendance \| 2002 attendance \| 2004 attendance \| 2006 attendance \| 2008 attendance \| 2010 attendance \| 2012 attendance row 1 : animefest \| 1992 \| usa \| 105 (1992) \| 650 \| 750 \| 1800 \| 2725 \| 4127 \| None \| None \| None row 2 : animeexpo \| 1992 \| usa \| 1750 (1992) \| 4883 \| 9700 \| 15250 \| 25000 \| 40647 \| 43000 \| 44000 \| 49400 row 3 : fanimecon \| 1994 \| usa \| 200 (1994) \| 1700 \| 2300 \| 4600 \| 6122 \| 10000 \| 14926 \| 16000 \| 21000 row 4 : otakon \| 1994 \| usa \| 350 (1994) \| 2500 \| 7500 \| 12880 \| 20899 \| 22302 \| 26262 \| 29274 \| 32724 row 5 : katsucon \| 1995 \| usa \| 500 (1995) \| 1400 \| 2300 \| 3000 \| 4300 \| 5664 \| 6300 \| None \| 12614 row 6 : nan desu kan \| 2000 \| usa \| None \| None \| 1477 \| 2467 \| 2859 \| 5018 \| 5975 \| None \| None row 7 : animeiowa \| 1997 \| usa \| 150 (1997) \| 300 \| 700 \| None \| None \| None \| None \| None \| None row 8 : otafest \| 1999 \| usa \| 700 (1999) \| None \| 900 \| None \| None \| None \| 4042 \| 3697 \| None row 9 : sakura-con \| 2000 \| usa \| 866(2000) \| 313 \| 866 \| 2328 \| 4425 \| 7500 \| 13600 \| 18002 \| 21457 row 10 : shoujocon \| 2000 \| usa \| 456(2000) \| 456 \| 1229 \| None \| None \| None \| None \| None \| None row 11 : j-popcon \| 2000 \| denmark \| None \| None \| 200 \| None \| None \| 1000 \| None \| 2200 \| None row 12 : sugoicon \| 2000 \| usa \| 522(2000) \| None \| 522 \| 930 \| 1333 \| 1400 \| None \| None \| None row 13 : ohayocon \| 2001 \| usa \| 654(2001) \| None \| None \| 1200 \| 3042 \| 4257 \| 7000 \| 10120 \| 40 row 14 : big apple anime fest \| 2001 \| usa \| 3500(2001) \| None \| None \| 7500 \| None \| None \| None \| None \| None row 15 : manifest \| 2001 \| australia \| 3500(2006) \| None \| None \| None \| None \| 3500 \| 4800 \| None \| None row 16 : anime detour \| 2004 \| usa \| 1200(2004) \| None \| None \| None \| 1200 \| 2464 \| 3000 \| None \| None row 17 : portconmaine \| 2002 \| usa \| 250(2002) \| None \| None \| 250 \| 811 \| 1400 \| 1650 \| 2072 \| 2306 row 18 : anime friends \| 2003 \| brazil \| 25000(2004) \| None \| None \| None \| 25000 \| 50000 \| 120000 \| None \| None row 19 : anime nebraskon \| 2004 \| usa \| None \| None \| None \| None \| 300 \| None \| None \| 2000 \| None row 20 : tsubasacon \| 2004 \| usa \| 407(2004) \| None \| None \| None \| 407 \| 564 \| 723 \| 1105 \| 1320 row 21 : kawaii kon \| 2005 \| hawaii \| 2610 (2005) \| None \| None \| None \| None \| 2610 \| 3495 \| 4877 \| 6077 row 22 : sac-anime \| 2005 \| usa \| 2000(2006) \| None \| None \| None \| None \| 2000 \| None \| None \| 5000 row 23 : youmacon \| 2005 \| usa \| 1078(2005) \| None \| None \| None \| None \| 2125 \| 4494 \| None \| 12156 row 24 : anime punch \| 2005 \| usa \| 200(2005) \| None \| None \| None \| None \| 977 \| 1337 \| 1206 \| None ] Execute this SQL based on the above table: select country order by 2006 attendance desc limit 1	brazil
[ header: boat # \| name \| builder \| laid down \| launched \| completed \| fate row 1 : 4918 \| ha-208 \| sasebo naval arsenal \| 01-05-1945 \| 26-05-1945 \| 04-08-1945 \| decommissioned 30-11-1945. scut row 2 : 4920 \| ha-210 \| sasebo naval arsenal \| 14-05-1945 \| 10-06-1945 \| 11-08-1945 \| decommissioned 30-11-1945. scut row 3 : 4925 \| ha-215 \| sasebo naval arsenal \| 22-05-1945 \| 15-05-1945 \| None \| incomplete until the end of war (95%). row 4 : 4931 \| ha-221 \| mitsubishi-kobe shipyard \| 20-04-1945 \| 04-08-1945 \| None \| incomplete until the end of war (85%). row 5 : 4933 \| ha-223 \| kawasaki-kobe shipyard \| 01-05-1945 \| None \| None \| incomplete until the end of war (60%). scrap row 6 : 4938 \| ha-228 \| sasebo naval arsenal \| 21-06-1945 \| 18-07-1945 \| None \| incomplete until the end of war (75%). row 7 : 4939 \| ha-229 \| sasebo naval arsenal \| 27-06-1945 \| 27-07-1945 \| None \| incomplete until the end of war (75%). scrap row 8 : 4942 \| ha-232 \| sasebo naval arsenal \| 18-07-1945 \| None \| None \| incomplete until the end of war (40%). later row 9 : 4944 \| ha-234 \| kawasaki-kobe shipyard \| 15-05-1945 \| None \| None \| incomplete until the end of war (50%). scrap row 10 : 4945 \| ha-235 \| kawasaki-senshu shipyard \| 01-06-1945 \| None \| None \| incomplete until the end of war (10%). later row 11 : 4946 \| ha-236 \| kawasaki-kobe shipyard \| 01-06-1945 \| None \| None \| incomplete until the end of war (40%). scrap row 12 : 4958 - 4989 \| None \| None \| None \| None \| None \| constructions were not started until the end of war ] Execute this SQL based on the above table: select count ( * ) where completed = 'None'	0
[ header: chip \| flash size \| eeprom \| sram \| frequency [mhz] \| package row 1 : at90s1200 \| 1k \| 64 \| 0 \| 12 \| pdip-20 row 2 : at90s2313 \| 2k \| 128 \| 128 \| 10 \| pdip-20 row 3 : at90s/ls2323 \| 2k \| 128 \| 128 \| 10 \| pdip-8 row 4 : at90s/ls2343 \| 2k \| 128 \| 128 \| 10 \| pdip-8 row 5 : at90s4414 \| 4k \| 256 \| 256 \| 8 \| pdip-40 row 6 : at90s/ls4434 \| 4k \| 256 \| 256 \| 8 \| pdip-40 row 7 : at90s8515 \| 8k \| 512 \| 512 \| 8 \| pdip-40 row 8 : at90s/ls8535 \| 8k \| 512 \| 512 \| 8 \| pdip-40 ] Execute this SQL based on the above table: select count ( * ) where flash size = '2k'	3
[ header: date \| site \| winning team \| winning team \| losing team \| losing team \| series row 1 : 1959 \| ames \| missouri \| 14 \| iowa state \| 0 \| missouri 30-16-6 row 2 : 1960 \| columbia \| missouri \| 34 \| iowa state \| 8 \| missouri 31-16-6 row 3 : 1962 \| columbia \| missouri \| 21 \| iowa state \| 6 \| missouri 33-16-6 row 4 : 1963 \| ames \| missouri \| 7 \| iowa state \| 0 \| missouri 34-16-6 row 5 : 1964 \| columbia \| missouri \| 10 \| iowa state \| 0 \| missouri 35-16-6 row 6 : 1965 \| ames \| missouri \| 23 \| iowa state \| 7 \| missouri 36-16-6 row 7 : 1967 \| ames \| missouri \| 23 \| iowa state \| 7 \| missouri 37-16-7 row 8 : 1969 \| ames \| missouri \| 40 \| iowa state \| 13 \| missouri 39-16-7 row 9 : 1971 \| ames \| iowa state \| 45 \| missouri \| 17 \| missouri 39-18-7 row 10 : 1973 \| ames \| iowa state \| 17 \| missouri \| 7 \| missouri 40-19-7 row 11 : 1974 \| columbia \| missouri \| 10 \| iowa state \| 7 \| missouri 41-19-7 row 12 : 1976 \| columbia \| iowa state \| 21 \| missouri \| 17 \| missouri 42-20-7 row 13 : 1977 \| ames \| iowa state \| 7 \| missouri \| 0 \| missouri 42-21-7 row 14 : 1978 \| columbia \| missouri \| 26 \| iowa state \| 13 \| missouri 43-21-7 row 15 : 1980 \| columbia \| missouri \| 14 \| iowa state \| 10 \| missouri 45-21-7 row 16 : 1982 \| columbia \| iowa state \| 17 \| missouri \| 17 \| missouri 45-22-8 row 17 : 1983 \| ames \| missouri \| 41 \| iowa state \| 18 \| missouri 46-22-8 row 18 : 1985 \| ames \| missouri \| 28 \| iowa state \| 27 \| missouri 47-22-9 row 19 : 1988 \| columbia \| iowa state \| 21 \| missouri \| 3 \| missouri 48-24-9 row 20 : 1992 \| ames \| iowa state \| 28 \| missouri \| 14 \| missouri 48-28-9 row 21 : 1995 \| columbia \| missouri \| 45 \| iowa state \| 31 \| missouri 51-28-9 row 22 : 1998 \| ames \| #21 missouri \| 35 \| iowa state \| 19 \| missouri 53-29-9 row 23 : 1999 \| columbia \| iowa state \| 24 \| missouri \| 21 \| missouri 53-30-9 row 24 : 2000 \| ames \| iowa state \| 39 \| missouri \| 20 \| missouri 53-31-9 row 25 : 2001 \| columbia \| iowa state \| 20 \| missouri \| 14 \| missouri 53-32-9 row 26 : 2004 \| ames \| missouri \| 17 \| iowa state \| 14 \| missouri 55-33-9 row 27 : 2007 \| columbia \| #13 missouri \| 42 \| iowa state \| 28 \| missouri 57-34-9 row 28 : 2008 \| ames \| #11 missouri \| 52 \| iowa state \| 20 \| missouri 58-34-9 row 29 : 2009 \| columbia \| missouri \| 34 \| iowa state \| 24 \| missouri 59-34-9 row 30 : 2010 \| ames \| #15 missouri \| 14 \| iowa state \| 0 \| missouri 60-34-9 ] Execute this SQL based on the above table: select count ( losing team ) where site = 'ames'	16
[ header: poll company \| source \| publication date \| psuv \| opposition \| undecided row 1 : gis xxi \| radio nacional de venezuela \| march 2010 \| 32 \| 22 \| 36 row 2 : gis xxi \| radio nacional de venezuela \| may 2010 \| 36 \| 23 \| 33 row 3 : gis xxi \| radio nacional de venezuela \| june 2010 \| 44 \| 20 \| None row 4 : hinterlaces \| hinterlaces el universal \| july 2010 \| 27 \| 28 \| 23 row 5 : gis xxi \| correo del orinoco \| august 2010 \| 50 \| 44 \| None row 6 : ivad \| el universal \| august 2010 \| 45 \| 43 \| None row 7 : keller & asociados \| el universal \| august 2010 \| 32 \| 46 \| None row 8 : keller & asociados \| el universal \| 2 september 2010 \| 43 \| 57 \| 0 row 9 : datanalisis \| abc.es \| september 2010 \| 52 \| 48 \| None row 10 : hinterlaces \| union radio descifrado \| september 2010 \| 41 \| 37 \| None row 11 : ivad \| union radio descifrado \| september 2010 \| 54 \| 46 \| None ] Execute this SQL based on the above table: select poll company where psuv = 54	ivad
[ header: medal \| name \| sport \| event row 1 : silver \| None \| badminton \| men's team row 2 : silver \| aparna popat \| badminton \| women's singles row 3 : silver \| jitender kumar \| boxing \| middleweight row 4 : silver \| jaspal rana \| shooting \| men's 25 m air pistol row 5 : silver \| jaspal rana satendra \| shooting \| men's air pistol pairs row 6 : silver \| dharmaraj wilson \| weightlifting \| men's 56 kg-combined row 7 : silver \| arumugam k. pandian \| weightlifting \| men's 56 kg-snatch row 8 : silver \| arumugam k. pandian \| weightlifting \| men's 56 kg-clean and jer row 9 : silver \| satheesha rai \| weightlifting \| men's 77 kg-clean and row 10 : silver \| satheesha rai \| weightlifting \| men's 77 kg-combined ] Execute this SQL based on the above table: select name order by sport limit 1950	aparna popat, jitender kumar, jaspal rana, jaspal rana satendra kumar, dharmaraj wilson, arumugam k. pandian, arumugam k. pandian, satheesha rai, satheesha rai
[ header: no. \| player \| position \| career \| date no. retired row 1 : 1 \| eddie giacomin \| g \| 1965-76 \| march 15, 1989 row 2 : 2 \| brian leetch \| d \| 1987-2004 \| january 24, 2008 row 3 : 3 \| harry howell \| d \| 1952-69 \| february 22, 2009 row 4 : 7 \| rod gilbert \| rw \| 1960-78 \| october 14, 1979 row 5 : 9 \| andy bathgate \| c \| 1954-64 \| february 22, 2009 row 6 : 9 \| adam graves \| lw \| 1991-2001 \| february 3, 2009 row 7 : 11 \| mark messier \| c \| 1991-97, 2000-04 \| january 12, 2006 row 8 : 35 \| mike richter \| g \| 1990-2003 \| february 4, 2004 row 9 : 99 \| wayne gretzky \| c \| 1996-99 \| february 6, 2000 ] Execute this SQL based on the above table: select count ( player ) where no. > ( select no. where player = 'wayne gretzky' )	0
[ header: institution \| location \| nickname \| founded \| type \| enrollment \| joined row 1 : aib college of business \| des moines, iowa \| eagles \| 1921 \| private \| 1000 \| 2010 row 2 : clarke university \| dubuque, iowa \| crusaders \| 1843 \| private/roman catholic \| 1230 \| 19881 row 3 : grand view university \| des moines, iowa \| vikings \| 1896 \| private/lutheran (elca \| 1750 \| 1989 row 4 : mount mercy university \| cedar rapids, iowa \| mustangs \| 1928 \| private/roman catholic \| 1490 \| 1988 row 5 : saint ambrose university \| davenport, iowa \| fighting bees (men's) queen \| 1882 \| private/roman catholic \| 3623 \| 1990 row 6 : viterbo university \| la crosse, wisconsin \| v-hawks \| 1923 \| private/roman catholic \| 2991 \| 1988 row 7 : william penn university \| oskaloosa, iowa \| statesmen (men's) lady statesmen \| 1873 \| private/quaker \| 1550 \| 2001 ] Execute this SQL based on the above table: select location where location = 'des moines, iowa' order by founded desc limit 1	des moines, iowa
[ header: title \| year \| channel \| role \| notes row 1 : parkinson \| 2002 \| bbc one \| herself \| performed "we will rock you" and "we row 2 : loose women \| 2007 \| itv \| elphaba \| performed "the wizard and i" row 3 : i'd do anything \| 2008 \| bbc one \| herself \| mentored potential nancys at the row 4 : royal variety performance \| 2008 \| bbc one \| herself \| performed "defying gravity" with bri row 5 : over the rainbow \| 2010 \| bbc one \| herself \| mentored potential dorothys at row 6 : big brother's little brother \| 2010 \| e4 \| herself \| interview row 7 : tonight's the night \| 2010 \| bbc one \| herself \| performed "wind beneath my wings" with contestant row 8 : this morning \| 2010 \| itv \| herself \| interview; performed "anthem" with bri row 9 : breakfast \| 2010 \| bbc one \| herself \| interview row 10 : proms in the park \| 2010 \| bbc red button \| herself \| performed "dangerland", "i'm row 11 : the wright stuff \| 2010 \| channel 5 \| herself \| special guest panelist row 12 : festival of remembrance \| 2010 \| bbc one \| herself \| performed "anthem" with brian may row 13 : only men aloud - merry \| 2010 \| s4c \| herself \| performed "somebody to love" with only men row 14 : breakfast \| 2011 \| bbc one \| herself \| interview with brian may row 15 : 2011 laurence olivier awards \| 2011 \| bbc red button \| herself \| performed "look to the rainbow" with barry row 16 : the alan titchmarsh \| 2011 \| itv \| herself \| performed "defying gravity" row 17 : fern \| 2011 \| channel 4 \| herself \| interview; performed "i love a butterfly" row 18 : the hour \| 2011 \| stv \| herself \| interview; performed "i love a butterfly" row 19 : fa community shield \| 2011 \| sky sports \| herself \| performed the british national anthem row 20 : sanremo music festival 2012 \| 2012 \| rai 1 \| herself \| performed "i (who have nothing)" and row 21 : the voice uk \| 2012 \| bbc one \| herself \| auditioned for the show's first series row 22 : foxes live: wild in the city \| 2012 \| channel 4 \| herself \| appeared in a short film about saving fox row 23 : live with \| 2012 \| channel 5 \| herself \| interview with jeff wayne row 24 : the wright stuff \| 2012 \| channel 5 \| herself \| special guest panelist row 25 : itv news london \| 2013 \| itv \| herself \| interview about tiger tracks and animal conservation with row 26 : the late late show \| 2013 \| rte one \| herself \| interview; performed "life is real" with row 27 : this morning \| 2013 \| itv \| herself \| interview; performed "born free" with bri row 28 : the alan titchmarsh \| 2013 \| itv \| herself \| interview; performed "the kissing me song" row 29 : sunday brunch \| 2013 \| channel 4 \| herself \| interview with brian may row 30 : big brother's bit on the side \| 2013 \| channel 5 \| herself \| surprise guest panelist ] Execute this SQL based on the above table: select count ( * ) where role = 2010	0
[ header: # \| stadium \| capacity \| city \| home team row 1 : 1 \| windsor park \| 24734 \| belfast \| linfield, northern ireland row 2 : 2 \| the oval \| 15000 \| belfast \| glentoran row 3 : 3= \| ballymena showgrounds \| 8000 \| ballymena \| ballymena united row 4 : 3= \| new grosvenor stadium \| 8000 \| ballyskeagh \| lisburn distillery row 5 : 3= \| shamrock park \| 8000 \| portadown \| portadown row 6 : 6 \| brandywell stadium \| 7700 \| derry \| derry city row 7 : 7= \| seaview \| 6500 \| belfast \| crusaders row 8 : 7= \| the showgrounds \| 6500 \| coleraine \| coleraine row 9 : 7= \| the showgrounds \| 6500 \| newry \| newry city row 10 : 10= \| inver park \| 6000 \| larne \| larne row 11 : 10= \| solitude \| 6000 \| belfast \| cliftonville row 12 : 10= \| taylors avenue \| 6000 \| carrickfergus \| carrick rangers row 13 : 13 \| dixon park \| 5333 \| ballyclare \| ballyclare comrades row 14 : 14 \| mourneview park \| 5000 \| lurgan \| glenavon row 15 : 15 \| donegal celtic park \| 4200 \| belfast \| donegal celtic row 16 : 16= \| holm park \| 3000 \| armagh \| armagh city row 17 : 16= \| lakeview park \| 3000 \| loughgall \| loughgall row 18 : 16= \| ymca grounds \| 3000 \| drumahoe \| institute row 19 : 16= \| stangmore park \| 3000 \| dungannon \| dungannon swifts row 20 : 16= \| tillysburn park \| 3000 \| belfast \| harland & wolff welder row 21 : 21 \| clandeboye park \| 2850 \| bangor \| bangor, ards row 22 : 22 \| wilgar park \| 2500 \| belfast \| dundela row 23 : 23= \| allen park \| 2000 \| antrim \| chimney corner row 24 : 23= \| ferney park \| 2000 \| ballinamallard \| ballinamallard united row 25 : 23= \| hagan park \| 2000 \| coagh \| coagh united row 26 : 23= \| mill meadow \| 2000 \| castledawson \| wakehurst, moyola park row 27 : 23= \| riada stadium \| 2000 \| ballymoney \| glebe rangers, ballymoney row 28 : 28= \| crystal park \| 1500 \| banbridge \| banbridge town row 29 : 28= \| fortwilliam park \| 1500 \| tobermore \| tobermore united row 30 : 28= \| newforge lane \| 1500 \| belfast \| psni row 31 : 28= \| the showgrounds (limavady) \| 1500 \| limavady \| limavady united row 32 : 32 \| tandragee road \| 1250 \| portadown \| annagh united row 33 : 33 \| darragh park \| 1200 \| castlederg \| dergview row 34 : 34= \| knockrammer park \| 1000 \| lurgan \| lurgan celtic row 35 : 34= \| mid ulster sports arena \| 1000 \| cookstown \| killymoon rangers row 36 : 36 \| seahaven \| 500 \| portstewart \| portstewart row 37 : 37 \| glen road heights \| 400 \| belfast \| sport & leisure swifts row 38 : 38 \| upper braniel \| 300 \| belfast \| knockbreda row 39 : 39 \| milltown playing fields \| 280 \| warrenpoint \| warrenpoint town row 40 : None \| upper malone \| None \| belfast \| queen's university ] Execute this SQL based on the above table: select count ( home team ) where capacity < 'None'	39
[ header: year \| competition \| venue \| position \| notes row 1 : 1985 \| european indoor championships \| athens, greece \| 1st \| long jump row 2 : 1986 \| european championships \| stuttgart, west germany \| 2nd \| long jump row 3 : 1987 \| european indoor championships \| lievin, france \| 2nd \| long jump row 4 : 1988 \| european indoor championships \| budapest, hungary \| 2nd \| long jump row 5 : 1988 \| summer olympics \| seoul, south korea \| 3rd \| long jump row 6 : 1989 \| european indoor championships \| the hague, netherlands \| 1st \| long jump row 7 : 1989 \| world indoor championships \| budapest, hungary \| 1st \| long jump row 8 : 1990 \| european indoor championships \| glasgow, scotland \| 1st \| long jump row 9 : 1990 \| european indoor championships \| glasgow, scotland \| 1st \| triple jump ] Execute this SQL based on the above table: select notes where year < 1989	long jump, long jump, long jump, long jump, long jump
[ header: represented \| contestant \| age \| height \| hometown row 1 : azua \| patricia tomas ferro \| 21 \| 1.78 m (5 ft 10 in \| santo domingo row 2 : com. dom. nueva york \| carol maria arciniegas j \| 20 \| 1.78 m (5 ft 10 in \| washington heights row 3 : dajabon \| elizabeth rondon garcia \| 18 \| 1.75 m (5 ft 9 in \| loma de cabrera row 4 : distrito nacional \| melanie pimentel de la \| 26 \| 1.69 m (5 ft 6 1 \| los alcarrizos row 5 : duverge \| yilda santana \| 22 \| 1.80 m (5 ft 10 3 \| santo domingo row 6 : hato mayor \| sarah maria reyes \| 20 \| 1.75 m (5 ft 9 in \| san cristobal row 7 : la romana \| suanny frontaan de la cruz \| 22 \| 1.82 m (5 ft 11 3 \| la romana row 8 : licey al medio \| ana carolina frometa cru \| 22 \| 1.77 m (5 ft 9 3 \| santiago de los caballe row 9 : moca \| cindy arias morton \| 25 \| 1.80 m (5 ft 10 3 \| moca row 10 : monte cristi \| carolina ayala cro \| 18 \| 1.71 m (5 ft 7 1 \| san felipe de puerto row 11 : neiba \| sandra castellanos de fermin \| 21 \| 1.76 m (5 ft 9 1 \| santo domingo row 12 : samana \| lucrecia vargas camacho \| 20 \| 1.74 m (5 ft 8 1 \| moca row 13 : san cristobal \| elisa mercedes \| 19 \| 1.74 m (5 ft 8 1 \| san cristobal row 14 : san francisco de macoris \| johanna del carmen espa \| 19 \| 1.76 m (5 ft 9 1 \| san francisco de macoris row 15 : san jose de las mata \| karina german fernandez \| 24 \| 1.77 m (5 ft 9 3 \| santiago de los caballe row 16 : san juan \| lizette de los santos \| 23 \| 1.78 m (5 ft 10 in \| san juan de la magu row 17 : santiago \| amelia victoria vega \| 17 \| 1.85 m (6 ft 3⁄ \| santiago de los caballe row 18 : santiago rodriguez \| martha zamora ta \| 20 \| 1.83 m (6 ft 0 \| santiago de los caballe row 19 : santo domingo oeste \| aurora sardena fiallo \| 25 \| 1.79 m (5 ft 10 1 \| santo domingo row 20 : valverde \| lourdes medina acosta \| 21 \| 1.72 m (5 ft 7 3 \| laguna salada ] Execute this SQL based on the above table: select represented where represented = 'san juan' order by hometown desc limit 1	san juan
[ header: tops design code \| electrical system \| max speed \| weight \| brakes \| route availability \| notes row 1 : 08-0av \| 90 v \| 20 mph (32 km/h) \| 49.8 te (496 k \| vacuum \| 5 \| None row 2 : 08-0bx \| 110 v \| 20 mph (32 km/h) \| 50.4 te (502 kn \| dual \| 5 \| None row 3 : 08-0ca \| 90 v \| 20 mph (32 km/h) \| 49.6 te (494 k \| air \| 5 \| None row 4 : 08-0dv \| 90 v \| 15 mph (24 km/h) \| 49.8 te (496 k \| vacuum \| 5 \| None row 5 : 08-0bx \| 90 v \| 15 mph (24 km/h) \| 50.4 te (502 kn \| dual \| 5 \| None row 6 : 08-0fa \| 90 v \| 15 mph (24 km/h) \| 49.6 te (494 k \| air \| 5 \| None row 7 : 08-0kx \| 110 v \| 15 mph (24 km/h) \| 50.4 te (502 kn \| dual \| 5 \| None row 8 : 08-0lx \| 110 v \| 15 mph (24 km/h) \| 50.4 te (502 kn \| dual \| 5 \| scharfenberg adapter fitted row 9 : 08-0ma \| 110 v \| 15 mph (24 km/h) \| 49.8 te (496 k \| air \| 5 \| None row 10 : 08-0na \| 90 v \| 15 mph (24 km/h) \| 49.8 te (496 k \| air \| 5 \| fitted with buckeye couplings row 11 : 08-0pa \| 90 v \| 15 mph (24 km/h) \| 51 te (508 kn) \| air \| 6 \| fitted with buckeye couplings row 12 : 08-0qa \| 90 v \| 15 mph (24 km/h) \| 51 te (508 kn) \| air \| 6 \| fitted with buckeye couplings row 13 : 08-0ra \| 110 v \| 15 mph (24 km/h) \| 51 te (508 kn) \| air \| 6 \| fitted with buckeye couplings row 14 : 08-0sa \| 110 v \| 15 mph (24 km/h) \| 49 te (488 kn) \| air \| 6 \| None ] Execute this SQL based on the above table: select notes order by electrical system limit 499	fitted with buckeye couplings, fitted with buckeye couplings, fitted with buckeye couplings, scharfenberg adapter fitted, fitted with buckeye couplings
[ header: rank \| athlete \| shooting score (pts) \| fencing victories (pts) \| swimming time (pts) \| riding penalties (pts) \| running time (pts) \| total row 1 : 4 \| deniss cerkovskis (l \| 180 (1096) \| 19 (916) \| 2:09.00 (1252) \| 196 (1004) \| 9:38.77 (1088) \| 5356 row 2 : 6 \| michal michalik (cze) \| 181 (1108) \| 18 (888) \| 2:08.51 (1260) \| 56 (1144) \| 10:17.68 (932) \| 5332 row 3 : 7 \| eric walther (ger) \| 168 (952) \| 16 (832) \| 2:02.03 (1336) \| 84 (1116) \| 9:39.36 (1084) \| 5320 row 4 : 9 \| vakhtang iagorashvil \| 171 (988) \| 19 (916) \| 2:09.11 (1252) \| 28 (1172) \| 10:13.95 (948) \| 5276 row 5 : 10 \| rustem sabizkhuzi \| 185 (1156) \| 18 (888) \| 2:12.02 (1216) \| 292 (908) \| 9:39.60 (1084) \| 5252 row 6 : 12 \| manuel pradillo (mex) \| 178 (1072) \| 15 (804) \| 2:07.07 (1276) \| 168 (1032) \| 9:57.68 (1012) \| 5196 row 7 : 14 \| niklaus brunisholz (su \| 180 (1096) \| 14 (776) \| 2:09.12 (1252) \| 196 (1004) \| 9:46.75 (1056) \| 5184 row 8 : 15 \| sebastien deleigne (fra \| 180 (1096) \| 15 (804) \| 2:12.27 (1216) \| 196 (1004) \| 9:45.31 (1060) \| 5180 row 9 : 16 \| qian zhenhua \| 185 (1156) \| 12 (720) \| 2:08.52 (1260) \| 56 (1144) \| 10:27.25 (892) \| 5172 row 10 : 18 \| akos kallai (hun \| 179 (1084) \| 18 (888) \| 2:14.64 (1188) \| 196 (1004) \| 10:08.75 (968) \| 5132 row 11 : 23 \| erik johansson (s \| 163 (892) \| 12 (720) \| 2:06.68 (1280) \| 84 (1116) \| 10:08.20 (968) \| 4976 row 12 : 26 \| enrico dell'amore ( \| 180 (1096) \| 18 (888) \| 2:16.63 (1164) \| 440 (760) \| 9:55.01 (1020) \| 4928 row 13 : 27 \| alexander parygin (aus) \| 169 (964) \| 13 (748) \| 2:14.14 (1192) \| 196 (1004) \| 10:01.57 (996) \| 4904 row 14 : 28 \| vasileios floros (gre \| 174 (1024) \| 10 (664) \| 2:04.40 (1308) \| 100 (1100) \| 11:02.25 (752) \| 4848 row 15 : 32 \| marcin horbacz (pol) \| 181 (1108) \| 18 (888) \| 2:04.43 (1308) \| 1088 (112) \| 10:07.46 (972) \| 4388 ] Execute this SQL based on the above table: select count ( athlete ) where total > 896	15
[ header: country \| weapon designation \| weapon description \| year(s) delivered \| quantity delivered row 1 : brazil \| ee-11 urutu \| apc \| 1983-1984 \| 350 row 2 : china \| f-6 \| fighter aircraft \| 1982-1983 \| 40 row 3 : china \| type-63 107mm \| multiple rocket launcher \| 1984-1988 \| 100 row 4 : china \| wz-121/type 69 \| tank \| 1983-1987 \| 1500 row 5 : china \| hn-5a \| portable sam \| 1986-1987 \| 1000 row 6 : czechoslovakia \| bmp-2 \| infantry fighting vehicle \| 1987-1989 \| 250 row 7 : czechoslovakia \| t-55 \| tank \| 1982-1985 \| 400 row 8 : denmark \| al zahraa \| landing ship \| 1983 \| 3 row 9 : east germany \| t-55 \| tank \| 1981 \| 50 row 10 : egypt \| m-46 130mm \| towed gun \| 1981-1983 \| 96 row 11 : france \| sa-330 puma \| helicopter \| 1980-1981 \| 20 row 12 : france \| m-3 vtt \| apc \| 1983-1984 \| 115 row 13 : france \| trs-2100 tiger \| air surv radar \| 1988 \| 1 row 14 : france \| trs-2230/15 tiger \| air surv radar \| 1984-1985 \| 6 row 15 : france \| am-39 exocet \| anti-ship missile \| 1979-1988 \| 352 row 16 : france \| as-30l \| asm \| 1986-1990 \| 240 row 17 : france \| r-550 magic-1 \| sraam \| 1981-1985 \| 534 row 18 : italy \| a-109 hirundo \| light helicopter \| 1982 \| 2 row 19 : poland \| t-72m1 \| tank \| 1982-1990 \| 500 row 20 : romania \| t-55 \| tank \| 1982-1984 \| 150 row 21 : yugoslavia \| m-87 orkan 262mm \| multiple rocket launcher \| 1988 \| 2 row 22 : united states \| md-500md defender \| light helicopter \| 1983 \| 30 row 23 : united states \| md-530f \| light helicopter \| 1986 \| 26 row 24 : soviet union \| mig-21bis/fishbed-n \| fighter aircraft \| 1983-1984 \| 61 row 25 : soviet union \| mig-23bn/flogger- \| fga aircraft \| 1984-1985 \| 50 row 26 : soviet union \| su-22/fitter-h/j/ \| fga aircraft \| 1986-1987 \| 61 row 27 : soviet union \| su-25/frogfoot-a \| ground attack aircraft \| 1986-1987 \| 84 row 28 : soviet union \| 9p117/ss-1 scu \| ssm launcher \| 1983-1984 \| 10 row 29 : soviet union \| bm-21 grad 122mm \| multiple rocket launcher \| 1983-1988 \| 560 row 30 : soviet union \| d-30 122mm \| towed gun \| 1982-1988 \| 576 row 31 : soviet union \| sa-9/9p31 \| aav(m) \| 1982-1985 \| 160 row 32 : soviet union \| long track \| air surv radar \| 1980-1984 \| 10 row 33 : soviet union \| sa-8b/9k33m \| mobile sam system \| 1982-1985 \| 50 row 34 : soviet union \| thin skin \| air surv radar \| 1980-1984 \| 5 row 35 : soviet union \| 9m111/at-4 spigot \| anti-tank missile \| 1986-1989 \| 3000 row 36 : soviet union \| 9m37/sa-13 gopher \| sam \| 1985-1986 \| 960 ] Execute this SQL based on the above table: select ( select quantity delivered where weapon description = 'ground attack aircraft' ) > ( select quantity delivered where weapon description = 'ssm launcher' )	1
[ header: parish est \| church \| city \| current bldg begun \| weekly collections \| notes row 1 : 1846 \| shrine of the immaculate conception \| atlanta \| 1869 \| $10,000 \| row 2 : 1880 \| sacred heart basilica \| atlanta \| 1897 \| $18,000 \| row 3 : 1903 \| saint anthony of padua cat \| atlanta \| 1911 \| None \| row 4 : 1912 \| our lady of lourdes catholic church \| atlanta \| 1960 \| None \| row 5 : 1936 \| cathedral of christ the king \| atlanta \| 1937 \| $70,000 \| row 6 : 1941 \| saint thomas more catholic church \| decatur \| 1952 \| $23,000 \| row 7 : 1951 \| our lady of the assumption catholic church \| atlanta \| 1957 \| $16,000 \| row 8 : 1954 \| saint paul of the cross catholic church \| atlanta \| 1957 \| None \| row 9 : 1958 \| immaculate heart of mary catholic church \| atlanta \| 2006 \| $26,000 \| row 10 : 1960 \| saint jude the apostle catholic church \| atlanta \| 1962 \| None \| row 11 : 1960 \| saint luke the evangelist \| dahlonega \| 1898 \| $4,500 \| row 12 : 1960 \| most blessed sacrament catholic church \| atlanta \| 1989 \| $4,000 \| row 13 : 1964 \| catholic church of the holy cross \| atlanta \| 1989 \| None \| row 14 : 1964 \| holy spirit catholic church \| atlanta \| 1977 \| None \| row 15 : 1965 \| our lady of perpetual help catholic church \| carrollton \| 1962 \| $9,000 \| row 16 : 1984 \| christ our hope catholic church \| lithonia \| 2000 \| None \| row 17 : 1999 \| saint francis de sales catholic church \| mableton \| 1999 \| None \| row 18 : 2000 \| saint brigid catholic church \| johns creek \| 2002 \| $50,000 \| ] Execute this SQL based on the above table: select count ( * ) where parish est = 1936	1
[ header: year \| title \| b-side \| mediums \| label (catalog) row 1 : 1996 \| "broke" \| "whenever i breathe out, you breathe \| 7" \| sub pop (sp0338) row 2 : 1997 \| "a life of arctic sounds" \| "medication" \| 7" \| suicide squeeze (ssr001003) row 3 : 1997 \| "birds vs. worms \| "every penny fed car", "four finger \| 7" \| hit or miss row 4 : 1998 \| "other people's lives" \| "grey ice water" \| 7" \| up records row 5 : 1998 \| "never ending math equation" \| "workin' on leavin' the \| 7" \| sub pop (sp0436) row 6 : 1998 \| "whenever you see fit" \| "whenever you see fit (dj \| 12", cd \| up records/suicide squeeze row 7 : 1999 \| "heart cooks brain" \| "shit luck" \| 7" \| matador records row 8 : 2004 \| "float on" \| "i've got it all (most) \| 7", cd \| epic (076685) row 9 : 2004 \| "ocean breathes salty" \| "float on (live studio)" \| cd \| epic row 10 : 2007 \| "dashboard" \| "king rat" \| 7", cd \| epic row 11 : 2007 \| "missed the boat" \| None \| digital \| epic row 12 : 2009 \| "satellite skin" \| "guilty cocker spaniels \| 7" \| epic row 13 : 2009 \| "autumn beds" \| "whale song" \| 7" \| epic row 14 : 2009 \| "perpetual motion machine" \| "history sticks to your feet" \| 7" \| epic ] Execute this SQL based on the above table: select year where year in ( 1998 , 1998 ) order by year desc limit 1	1998
[ header: community \| airport name \| type \| coordinates row 1 : antil plains \| antil plains aerodrome \| military \| 19°26′36′′s 146° row 2 : eagle farm, brisban \| eagle farm airport \| military/public \| 27°25′30′′s 153° row 3 : charters towers \| breddan aerodrome \| military \| 19°56′34′′s 146° row 4 : petrie, brisbane \| petrie airfield \| military \| 27°17′s 153°00′ row 5 : tarampa \| tarampa airfield \| military \| 27°27′19′′s 152° row 6 : townsville \| aitkenvale aerodrome \| military \| 19°18′45′′s 146° row 7 : townsville \| bohle river aerodrome \| military \| 19°16′58′′s 146° row 8 : townsville \| reid river airfield \| military \| 19°45′45′′s 146° ] Execute this SQL based on the above table: select coordinates where id <= 10 group by coordinates order by count ( * ) desc limit 1	27°27′19′′s 152°28′56′′e / 27.45528°s 152.48222°e
[ header: code \| year row 1 : a \| 1927 row 2 : b \| 1928 row 3 : c \| 1929 row 4 : ch \| 1930 row 5 : d \| 1931 row 6 : e \| 1932 row 7 : f \| 1933 row 8 : g \| 1934 row 9 : h \| 1935 row 10 : i \| 1936 row 11 : j \| 1937 row 12 : k \| 1938 row 13 : l \| 1939 row 14 : ll \| 1940 row 15 : m \| 1941 row 16 : n \| 1942 row 17 : n \| 1943 row 18 : o \| 1944 row 19 : p \| 1945 row 20 : q \| 1946 row 21 : r \| 1947 row 22 : s \| 1948 row 23 : t \| 1949 row 24 : u \| 1950 row 25 : v \| 1951 row 26 : x \| 1952 row 27 : y \| 1953 row 28 : z \| 1954 row 29 : a1 \| 1955 row 30 : b1 \| 1956 row 31 : c1 \| 1957 row 32 : ch1 \| None row 33 : d1 \| 1958 row 34 : e1 \| 1959 row 35 : f1 \| 1960 row 36 : g1 \| 1961 row 37 : h1 \| 1962 row 38 : i1 \| 1963 row 39 : j1 \| 1964 row 40 : k1 \| 1965 row 41 : l1 \| 1966 row 42 : ll1 \| None row 43 : m1 \| 1967 row 44 : n1 \| 1968 row 45 : n1 \| 1969 row 46 : o1 \| 1970 row 47 : p1 \| 1971 row 48 : q1 \| 1972 row 49 : r1 \| 1973 row 50 : s1 \| 1974 row 51 : t1 \| 1975 row 52 : u1 \| 1976 row 53 : v1 \| 1977 row 54 : x1 \| 1978 row 55 : y1 \| 1979 row 56 : z1 \| 1980 row 57 : a2 \| 1981 row 58 : b2 \| 1982 row 59 : c2 \| 1983 row 60 : ch2 \| None row 61 : d2 \| 1984 row 62 : e2 \| 1985 row 63 : f2 \| 1986 row 64 : g2 \| 1987 row 65 : h2 \| 1988 row 66 : i2 \| 1989 row 67 : j2 \| 1990 row 68 : k2 \| 1991 row 69 : l2 \| 1992 row 70 : ll2 \| None row 71 : m2 \| 1993 row 72 : n2 \| 1994 row 73 : n2 \| 1995 row 74 : o2 \| 1996 row 75 : p2 \| 1997 row 76 : q2 \| 1998 row 77 : r2 \| 1999 row 78 : s2 \| 2000 row 79 : t2 \| 2001 row 80 : u2 \| 2002 row 81 : v2 \| 2003 row 82 : x2 \| 2004 row 83 : y2 \| 2005 row 84 : z2 \| 2006 ] Execute this SQL based on the above table: select code where code in ( 'l2' , 'f1' ) order by year asc limit 1997	f1, l2
[ header: year \| division \| league \| regular season \| playoffs \| open cup row 1 : 2004 \| 4 \| usl pdl \| 8th, mid south \| did not qualify \| did not qualify row 2 : 2005 \| 4 \| usl pdl \| 2nd, mid south \| conference finals \| did not qualify row 3 : 2006 \| 4 \| usl pdl \| 1st, mid south \| national final \| 1st round row 4 : 2007 \| 4 \| usl pdl \| 1st, mid south \| champions \| did not qualify row 5 : 2008 \| 4 \| usl pdl \| 2nd, mid south \| national final \| did not qualify row 6 : 2009 \| 4 \| usl pdl \| 1st, mid south \| conference finals \| did not qualify row 7 : 2010 \| 4 \| usl pdl \| 1st, mid south \| conference semi-final \| did not qualify row 8 : 2011 \| 4 \| usl pdl \| 1st, mid south \| national final \| did not qualify row 9 : 2012 \| 4 \| usl pdl \| 1st, mid south \| conference semi-final \| 2nd round row 10 : 2013 \| 4 \| usl pdl \| 2nd, mid south \| conference finals \| 2nd round ] Execute this SQL based on the above table: select count ( year )	10
[ header: name \| gauge \| builder \| type \| date \| works number \| notes row 1 : no.774 \| 2 ft (610 mm) \| baguley \| 4wpm \| 1919 \| 774 \| undergoing restoration, not on display, purchased 1998 row 2 : dot \| 18 in (457 mm) \| beyer peacock \| 0-4-0wt \| 1887 \| 2817 \| built for the internal gorton locomotive works of be row 3 : rough pup \| 2 ft (610 mm) \| hunslet \| 0-4-0st \| 1891 \| 541 \| built for the dinorwic quarry railway. row 4 : no. 13 \| 1 ft 10 in (560 mm \| william spence ltd \| 0-4-0t \| 1895 \| None \| one of a fleet of overtype locomotives row 5 : george henry \| 1 ft 10 3⁄4 in (5 \| de winton \| 0-4-0vb \| 1877 \| None \| ex-penrhyn quarry locomotive. row 6 : jubilee 1897 \| 1 ft 11 1⁄2 in (5 \| manning wardle \| 0-4-0st \| 1897 \| 1382 \| built for the cilgwyn quarry in row 7 : dundee gasworks no.2 \| 1 ft 11 1⁄2 in (5 \| kerr stuart \| 0-4-0wt \| 1907 \| 720 \| built for the dundee gasworks railway ] Execute this SQL based on the above table: select count ( * ) where builder = 'de winton'	1
[ header: pos \| no. \| driver \| team \| laps \| time/retired \| grid \| laps led \| points row 1 : 2 \| 4 \| j. r. hilde \| panther racing \| 200 \| 2.1086 \| 12 \| 7 \| 44 row 2 : 3 \| 38 \| graham rahal \| chip ganassi racing \| 200 \| 5.5949 \| 29 \| 6 \| 38 row 3 : 4 \| 82 \| tony kanaan \| kv racing technology - lotus \| 200 \| 7.487 \| 22 \| 0 \| 36 row 4 : 5 \| 9 \| scott dixon (w)1 \| chip ganassi racing \| 200 \| 9.5434 \| 2 \| 73 \| 45 row 5 : 7 \| 30 \| bertrand baguette \| rahal letterman lanigan racing \| 200 \| 23.9631 \| 14 \| 11 \| 30 row 6 : 9 \| 26 \| marco andretti \| andretti autosport \| 200 \| 25.7411 \| 27 \| 0 \| 25 row 7 : 12 \| 10 \| dario franchitti (w) \| chip ganassi racing \| 200 \| 56.4167 \| 9 \| 51 \| 24 row 8 : 14 \| 12 \| will power \| team penske \| 199 \| +1 lap \| 5 \| 0 \| 26 row 9 : 15 \| 14 \| vitor meira \| a. j. foyt enterprises \| 199 \| +1 lap \| 11 \| 0 \| 19 row 10 : 17 \| 3 \| helio castroneves (w \| team penske \| 199 \| +1 lap \| 16 \| 0 \| 17 row 11 : 18 \| 44 \| buddy rice (w) \| panther racing \| 198 \| +2 laps \| 7 \| 0 \| 20 row 12 : 19 \| 19 \| alex lloyd \| dale coyne racing \| 198 \| +2 laps \| 30 \| 0 \| 15 row 13 : 20 \| 36 \| pippa mann (r) \| conquest racing \| 198 \| +2 laps \| 31 \| 0 \| 15 row 14 : 21 \| 24 \| ana beatriz \| dreyer & reinbold racing \| 197 \| +3 laps \| 32 \| 0 \| 15 row 15 : 22 \| 43 \| john andretti \| andretti autosport \| 197 \| +3 laps \| 17 \| 0 \| 16 row 16 : 24 \| 11 \| davey hamilton \| dreyer & reinbold racing \| 193 \| +7 laps \| 15 \| 0 \| 16 row 17 : 25 \| 23 \| paul tracy \| dreyer & reinbold racing \| 175 \| +25 laps \| 24 \| 0 \| 13 row 18 : 26 \| 99 \| townsend bell \| sam schmidt motorsports \| 157 \| contact \| 4 \| 0 \| 21 row 19 : 28 \| 77 \| alex tagliani \| sam schmidt motorsports \| 147 \| contact \| 1 \| 20 \| 25 row 20 : 29 \| 6 \| james hinchcliffe (r) \| newman/haas racing \| 99 \| contact \| 13 \| 0 \| 14 row 21 : 31 \| 78 \| simona de silvestro \| hvm racing \| 44 \| handling \| 23 \| 0 \| 14 row 22 : 33 \| 5 \| takuma sato \| kv racing technology - lotus \| 20 \| contact \| 10 \| 0 \| 14 ] Execute this SQL based on the above table: select driver where no. = 99	townsend bell
[ header: name \| street address \| years as tallest \| height ft (m) \| floors row 1 : globe building \| 4th street south \| 1882-1886 \| 157 (48) \| 8 row 2 : lumber exchange building \| 10 5th street south \| 1886-1887 \| 165 (50) \| 12 row 3 : industrial exposition building \| central avenue southeast and main street southeast \| 1887-1890 \| 240 (73) \| 8 row 4 : metropolitan building \| 308 2nd avenue south \| 1890-1895 \| 258 (79) \| 12 row 5 : minneapolis city hall \| 350 5th street south \| 1895-1929 \| 341 (104) \| 14 row 6 : foshay tower \| 821 marquette avenue \| 1929-1973 \| 448 (137) \| 32 row 7 : ids tower \| 80 8th street south \| 1973-present \| 792 (241) \| 55 ] Execute this SQL based on the above table: select name where name not null order by id desc limit 1	ids tower
[ 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 ( select prize money (usd) where name = 'lucas' ) - ( select prize money (usd) where name = 'lucas' )	0.0
[ header: # \| date \| winner \| score \| location \| notes row 1 : 47 \| december 31, 1971 \| west \| 17-13 \| san francisco, ca \| None row 2 : 48 \| december 30, 1972 \| east \| 9-3 \| san francisco, ca \| None row 3 : 49 \| december 29, 1973 \| east \| 35-7 \| san francisco, ca \| None row 4 : 50 \| december 28, 1974 \| east \| 16-14 \| stanford, ca \| None row 5 : 51 \| january 3, 1976 \| west \| 21-14 \| stanford, ca \| None row 6 : 53 \| december 31, 1977 \| west \| 23-3 \| stanford, ca \| None row 7 : 54 \| january 6, 1979 \| east \| 56-17 \| stanford, ca \| None row 8 : 56 \| january 10, 1981 \| east \| 21-3 \| stanford, ca \| None row 9 : 57 \| january 9, 1982 \| west \| 20-13 \| stanford, ca \| None row 10 : 58 \| january 15, 1983 \| east \| 26-25 \| stanford, ca \| None row 11 : 59 \| january 7, 1984 \| east \| 27-19 \| stanford, ca \| None row 12 : 60 \| january 5, 1985 \| west \| 21-10 \| stanford, ca \| None row 13 : 61 \| january 11, 1986 \| east \| 18-7 \| stanford, ca \| None row 14 : 62 \| january 10, 1987 \| west \| 24-21 \| stanford, ca \| None row 15 : 64 \| january 15, 1989 \| east \| 24-6 \| stanford, ca \| None row 16 : 65 \| january 21, 1990 \| west \| 22-21 \| stanford, ca \| None row 17 : 66 \| january 26, 1991 \| west \| 24-21 \| stanford, ca \| None row 18 : 67 \| january 19, 1992 \| west \| 14-6 \| stanford, ca \| None row 19 : 68 \| january 24, 1993 \| east \| 31-17 \| stanford, ca \| None row 20 : 69 \| january 15, 1994 \| west \| 29-28 \| stanford, ca \| None row 21 : 70 \| january 14, 1995 \| west \| 30-28 \| stanford, ca \| None row 22 : 73 \| january 10, 1998 \| west \| 24-7 \| stanford, ca \| None row 23 : 75 \| january 15, 2000 \| east \| 35-21 \| stanford, ca \| None row 24 : 77 \| january 12, 2002 \| west \| 21-13 \| san francisco, ca \| None row 25 : 78 \| january 11, 2003 \| east \| 20-17 \| san francisco, ca \| None row 26 : 79 \| january 10, 2004 \| west \| 28-7 \| san francisco, ca \| None row 27 : 80 \| january 15, 2005 \| east \| 45-27 \| san francisco, ca \| None row 28 : 81 \| january 21, 2006 \| west \| 35-31 \| san antonio, \| None row 29 : 82 \| january 20, 2007 \| west \| 21-3 \| houston, tx \| None row 30 : 83 \| january 19, 2008 \| west \| 31-13 \| houston, tx \| None row 31 : 84 \| january 17, 2009 \| east \| 24-19 \| houston, tx \| None row 32 : 85 \| january 23, 2010 \| east \| 13-10 \| orlando, fl \| notes row 33 : 86 \| january 22, 2011 \| east \| 25-8 \| orlando, fl \| notes row 34 : 87 \| january 21, 2012 \| west \| 24-17 \| st. petersburg, f \| notes row 35 : 89 \| january 18, 2014 \| east \| 23-13 \| st. petersburg, f \| notes ] Execute this SQL based on the above table: select date order by # desc limit 1	january 18, 2014
[ header: riding \| candidate \| gender \| residence \| occupation \| votes \| % \| rank \| biographical notes row 1 : cape breton-canso \| mark macneill \| m \| inverness \| government and business policy advisor \| 7660 \| 21.1 \| 3rd \| served in ottawa as a row 2 : central nova \| mary louise lorefice \| f \| antigonish \| retired educator \| 7659 \| 19.6 \| 3rd \| lorefice is a retired teacher row 3 : cumberland-colchester-musquod \| karen olsson \| f \| north river \| stay-at-home mother \| 4874 \| 12.3 \| 2nd \| None row 4 : dartmouth-cole harbour \| brad pye \| m \| ottawa, on \| senior political party program officer \| 12793 \| 31.5 \| 2nd \| pye is an international development worker and row 5 : halifax \| megan leslie \| f \| halifax \| community legal worker \| 19252 \| 42.7 \| 1st \| None row 6 : halifax west \| tamara lorincz \| f \| halifax \| director of nova scotia environment \| 12201 \| 29.6 \| 2nd \| an environmentalist row 7 : kings-hants \| carol e. harris \| f \| wolfville \| university professor \| 8291 \| 22 \| 3rd \| she was the ndp's candidate in row 8 : sackville-eastern shore \| peter stoffer \| m \| windsor junction \| parliamentarian \| 24279 \| 61.4 \| 1st \| stoffer has been the incumbent mp since row 9 : south shore-st. margaret \| gordon s. earle \| m \| upper tantallon \| retired public servant \| 13456 \| 33.7 \| 2nd \| earle is the former federal mp for row 10 : sydney-victoria \| wayne mckay \| m \| sydney \| teacher \| 8559 \| 24.4 \| 2nd \| None row 11 : west nova \| george barron \| m \| bear river \| paramedic \| 7097 \| 16.9 \| 3rd \| barron was born near paris, on ] Execute this SQL based on the above table: select occupation where rank = '2nd' order by id desc limit 1	teacher
[ 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 result group by result order by count ( * ) asc limit 1	1-3
[ header: network name \| flagship \| programming type \| owner \| affiliates row 1 : canal de las estrellas \| xew 2 \| soap operas, retro movies and sports \| televisa \| 5 row 2 : canal 5 \| xhgc 5 \| cartoons, movies, and series \| televisa \| 4 row 3 : tv mas \| xhgv 4 \| educational and cultural \| gobierno de veracruz \| 8 row 4 : azteca 7 \| xhimt 7 \| movies, series, and sports \| tv azteca \| 3 row 5 : galavision \| xeq 9 \| retro and sports \| televisa \| 2 row 6 : once tv \| xeipn 11 \| educational \| instituto politecnico nac \| 2 row 7 : azteca 13 \| xhdf 13 \| news, soap operas, and sports \| tv azteca \| 4 row 8 : televisa regional \| None \| select from televisa networks \| televisa \| 2 ] Execute this SQL based on the above table: select programming type where owner = 'televisa'	soap operas, retro movies and sports, cartoons, movies, and series, retro and sports, select from televisa networks
[ header: selected latin american countries \| internl. tourism arrivals 2010 (x 1000) \| internl. tourism receipts. 2010 (usd (x1000) \| average receipt per visitor 2009 (usd/turista) \| tourist arrivals per 1000 inhab (estimated) 2007 \| receipts per capita 2005 usd \| revenues as % exports of goods and services 2003 \| tourism income % gdp 2003 \| % direct and indirect employment in tourism 2005 \| world ranking tourism competitiv. ttci 2011 \| 2011 ttci index row 1 : argentina \| 5288 \| 4930 \| 932 \| 115 \| 57 \| 7.4 \| 1.8 \| 9.1 \| 60 \| 4.2 row 2 : brazil \| 5161 \| 5919 \| 1147 \| 26 \| 18 \| 3.2 \| 0.5 \| 7 \| 52 \| 4.36 row 3 : chile \| 2766 \| 1636 \| 591 \| 151 \| 73 \| 5.3 \| 1.9 \| 6.8 \| 57 \| 4.27 row 4 : costa rica \| 2100 \| 2111 \| 1005 \| 442 \| 343 \| 17.5 \| 8.1 \| 13.3 \| 44 \| 4.43 row 5 : cuba \| 2507 \| None \| None \| 188 \| 169 \| None \| None \| None \| None \| None row 6 : dominican republic \| 4125 \| 4240 \| 1028 \| 408 \| 353 \| 36.2 \| 18.8 \| 19.8 \| 72 \| 3.99 row 7 : mexico \| 22395 \| 11872 \| 530 \| 201 \| 103 \| 5.7 \| 1.6 \| 14.2 \| 43 \| 4.43 row 8 : panama \| 1317 \| 1676 \| 1273 \| 330 \| 211 \| 10.6 \| 6.3 \| 12.9 \| 56 \| 4.3 row 9 : peru \| 2299 \| 2274 \| 989 \| 65 \| 41 \| 9 \| 1.6 \| 7.6 \| 69 \| 4.04 row 10 : uruguay \| 2352 \| 1496 \| 636 \| 525 \| 145 \| 14.2 \| 3.6 \| 10.7 \| 58 \| 4.24 ] Execute this SQL based on the above table: select average receipt per visitor 2009 (usd/turista) order by id asc limit 335	932, 1147, 591, 1005, 1028, 530, 1273, 989, 636
[ header: county \| feinstein \| votes \| seymour \| votes \| horne \| votes \| meeu. \| votes \| boddie \| votes \| w/i \| v's row 1 : san mateo \| 67.25% \| 181,990 \| 27.89% \| 75,470 \| 1.84% \| 4,983 \| 1.29% \| 3,478 \| 1.73% \| 4,684 \| 0.00% \| 0 row 2 : contra costa \| 62.96% \| 229,988 \| 31.62% \| 115,507 \| 1.92% \| 7,011 \| 1.77% \| 6,470 \| 1.73% \| 6,320 \| 0.00% \| 2 row 3 : sonoma \| 62.84% \| 121,471 \| 29.38% \| 56,793 \| 3.02% \| 5,846 \| 2.43% \| 4,702 \| 2.33% \| 4,502 \| 0.00% \| 0 row 4 : santa clara \| 62.19% \| 364,997 \| 30.98% \| 181,858 \| 2.15% \| 12,646 \| 2.20% \| 12,912 \| 2.47% \| 14,518 \| 0.00% \| 2 row 5 : monterey \| 58.89% \| 66,417 \| 34.74% \| 39,182 \| 2.10% \| 2,369 \| 2.30% \| 2,590 \| 1.96% \| 2,216 \| 0.00% \| 0 row 6 : los angeles \| 58.72% \| 1,552,223 \| 34.03% \| 899,656 \| 3.18% \| 84,093 \| 2.09% \| 55,380 \| 1.97% \| 52,123 \| 0.00% \| 20 row 7 : napa \| 57.01% \| 29,875 \| 35.38% \| 18,539 \| 2.46% \| 1,288 \| 2.93% \| 1,537 \| 2.22% \| 1,161 \| 0.00% \| 0 row 8 : del norte \| 50.92% \| 4,696 \| 39.66% \| 3,658 \| 2.56% \| 236 \| 4.98% \| 459 \| 1.89% \| 174 \| 0.00% \| 0 row 9 : merced \| 47.61% \| 22,010 \| 43.79% \| 20,246 \| 2.79% \| 1,289 \| 2.95% \| 1,365 \| 2.86% \| 1,323 \| 0.00% \| 0 row 10 : nevada \| 46.04% \| 20,044 \| 44.73% \| 19,476 \| 2.90% \| 1,261 \| 3.32% \| 1,444 \| 3.02% \| 1,313 \| 0.00% \| 0 row 11 : placer \| 45.75% \| 40,511 \| 45.73% \| 40,497 \| 2.38% \| 2,109 \| 3.30% \| 2,920 \| 2.84% \| 2,518 \| 0.00% \| 0 row 12 : mariposa \| 45.38% \| 3,681 \| 43.98% \| 3,568 \| 3.09% \| 251 \| 5.07% \| 411 \| 2.48% \| 201 \| 0.00% \| 0 row 13 : sierra \| 45.12% \| 818 \| 44.57% \| 808 \| 2.48% \| 45 \| 3.47% \| 63 \| 4.36% \| 79 \| 0.00% \| 0 row 14 : mono \| 45.11% \| 1,931 \| 44.64% \| 1,911 \| 2.83% \| 121 \| 3.95% \| 169 \| 3.48% \| 149 \| 0.00% \| 0 row 15 : butte \| 44.72% \| 37,396 \| 45.57% \| 38,111 \| 2.96% \| 2,477 \| 3.56% \| 2,980 \| 3.19% \| 2,666 \| 0.00% \| 0 row 16 : trinity \| 42.41% \| 2,743 \| 43.66% \| 2,824 \| 3.80% \| 246 \| 6.29% \| 407 \| 3.83% \| 248 \| 0.00% \| 0 row 17 : yuba \| 40.76% \| 6,890 \| 46.63% \| 7,882 \| 3.07% \| 518 \| 6.09% \| 1,030 \| 3.45% \| 584 \| 0.00% \| 0 ] Execute this SQL based on the above table: select count ( county )	17
[ header: week \| date \| opponent \| result \| record \| attendance \| bye row 1 : 1 \| september 11, 2005 \| indianapolis colts \| l 24-7 \| 0-1-0 \| 70501 \| 0 row 2 : 2 \| september 18, 2005 \| at tennessee titans \| l 25-10 \| 0-2-0 \| 69149 \| 0 row 3 : 3 \| None \| None \| None \| None \| None \| 1 row 4 : 4 \| october 2, 2005 \| new york jets \| w 13-3 \| 1-2-0 \| 70479 \| 0 row 5 : 5 \| october 9, 2005 \| at detroit lions \| l 35-17 \| 1-3-0 \| 61201 \| 0 row 6 : 6 \| october 16, 2005 \| cleveland browns \| w 16-3 \| 2-3-0 \| 70196 \| 0 row 7 : 7 \| october 23, 2005 \| at chicago bears \| l 10-6 \| 2-4-0 \| 62102 \| 0 row 8 : 8 \| october 31, 2005 \| at pittsburgh steelers \| l 20-19 \| 2-5-0 \| 64178 \| 0 row 9 : 9 \| november 6, 2005 \| cincinnati bengals \| l 21-9 \| 2-6-0 \| 70540 \| 0 row 10 : 10 \| november 13, 2005 \| at jacksonville jaguars \| l 30-3 \| 2-7-0 \| 66107 \| 0 row 11 : 11 \| november 20, 2005 \| pittsburgh steelers \| w 16-13 ot \| 3-7-0 \| 70601 \| 0 row 12 : 12 \| november 27, 2005 \| at cincinnati bengals \| l 42-29 \| 3-8-0 \| 65680 \| 0 row 13 : 13 \| december 4, 2005 \| houston texans \| w 16-15 \| 4-8-0 \| 69909 \| 0 row 14 : 14 \| december 11, 2005 \| at denver broncos \| l 12-10 \| 4-9-0 \| 75651 \| 0 row 15 : 15 \| december 19, 2005 \| green bay packers \| w 48-3 \| 5-9-0 \| 70604 \| 0 row 16 : 16 \| december 25, 2005 \| minnesota vikings \| w 30-23 \| 6-9-0 \| 70246 \| 0 row 17 : 17 \| january 1, 2006 \| at cleveland browns \| l 20-16 \| 6-10-0 \| 69871 \| 0 ] Execute this SQL based on the above table: select count ( record ) where attendance > ( select attendance where opponent = 'houston texans' )	8
[ header: model \| origin \| type \| versions \| in service \| notes row 1 : vought f-8 crusa \| united states \| air superiority fighter/interceptor aircraft \| f-8p \| 35 \| placed in open storage 1988-01-23 at bas row 2 : northrop f-5 freedom fighter \| united states \| fighter/bomber \| f-5a f-5b \| 37 \| retired. the 10 remaining f-5s, row 3 : north american f-86 sabre \| united states \| fighter/bomber \| f-86f f-86d \| 50 20 \| replaced by the northrop f-5a row 4 : north american p-51 mustang \| united states \| fighter \| p-51d \| 103 \| paf's 1950s fighter, replaced by row 5 : north american t-28 trojan \| united states \| trainer/light strike aircraft \| t-28a t-28d \| 20 24 \| replaced by ov-10 bronco row 6 : north american t-6 texan \| united states \| trainer aircraft \| None \| 38 \| None row 7 : beechcraft t-34 mentor \| united states \| trainer aircraft \| None \| 36 \| replaced by the sf-260 row 8 : lockheed t-33 shooting star \| united states \| trainer aircraft \| t-33a rt-33 \| 25 2 \| replaced by the s-211 row 9 : douglas ac-47 s \| united states \| close air support aircraft \| None \| 11 \| None row 10 : douglas c-47 skytrain \| united states \| military transport aircraft \| None \| None \| replaced by the c-130 row 11 : de havilland canada dhc \| canada \| military transport aircraft \| None \| None \| replaced by the c-130 row 12 : grumman hu-16 albatros \| united states \| military transport aircraft \| hu-16b \| 6 \| None row 13 : namc ys-11 \| japan \| vip transport \| None \| None \| None row 14 : stinson l-5 sentine \| united states \| liaison aircraft \| None \| None \| None row 15 : sikorsky s-62 \| united states japan \| multipurpose utility helicopter multipurpose utility helicopter vip \| s-62a s-62j \| 1 2 \| None row 16 : sikorsky h-34 \| united states \| sar helicopter \| None \| None \| None row 17 : sikorsky h-19 \| united states \| None \| None \| None \| None row 18 : bell 212 \| united states \| utility helicopter \| None \| 1 \| a presidential aircraft that crashed in bengue row 19 : aerospatiale sa 330 \| france \| presidential helicopter \| sa 330l \| 2 \| None ] Execute this SQL based on the above table: select origin where notes = 'replaced by the northrop f-5a'	united states
[ header: season \| club \| league \| apps \| goals row 1 : 2003-04 \| podgrmec \| fbih first league \| 23 \| 16 row 2 : 2004-05 \| nk zagreb \| prva hnl \| 26 \| 3 row 3 : 2005-06 \| nk zagreb \| prva hnl \| 25 \| 3 row 4 : 2006-07 \| nk zagreb \| prva hnl \| 17 \| 4 row 5 : 2007-08 \| nk zagreb \| prva hnl \| 31 \| 12 row 6 : 2008-09 \| hajduk split \| prva hnl \| 30 \| 12 row 7 : 2009-10 \| hajduk split \| prva hnl \| 29 \| 17 row 8 : 2010-11 \| hajduk split \| prva hnl \| 17 \| 6 row 9 : 2011-12 \| lokomotiv \| rfpl \| 28 \| 4 row 10 : 2012-13 \| gaziantepspor \| super lig \| 1 \| 1 ] Execute this SQL based on the above table: select count ( club ) where apps > 165	0
[ header: # \| player \| country \| score \| to par \| money ($) row 1 : 1 \| louise suggs \| united states \| 78-75-75-74=302 \| +14 \| 900 row 2 : 2 \| patty berg \| united states \| 79-77-73-74=303 \| +15 \| 675 row 3 : t3 \| betsy rawls \| united states \| 79-75-72-80=306 \| +18 \| 445 row 4 : t3 \| mickey wright \| united states \| 80-79-74-73=306 \| +18 \| 445 row 5 : 5 \| betty jameson \| united states \| 80-74-77-78=309 \| +21 \| 405 row 6 : t6 \| mary lena faulk \| united states \| 82-79-74-76=3 \| +23 \| 338 row 7 : t6 \| beverly hanson \| united states \| 84-75-75-77=311 \| +23 \| 338 row 8 : t8 \| fay crocker \| uruguay \| 92-70-76-75=3 \| +25 \| 248 row 9 : t8 \| marlene hagge \| united states \| 78-80-79-76=3 \| +25 \| 248 row 10 : t10 \| vonnie colby \| united states \| 80-79-78-78=315 \| +27 \| 113 row 11 : t10 \| joyce ziske \| united states \| 83-82-77-73=3 \| +27 \| 113 ] Execute this SQL based on the above table: select sum ( to par )	236.0
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 1 may 2000 \| rasmee dhandu \| maldives \| 1-1 \| 1-1 \| 2000 mff golden jubile row 2 : 2 \| 25 august 2000 \| ho chi minh city, vietnam \| vietnam \| 2-1 \| 2-2 \| 2000 hcm cup row 3 : 3 \| 28 march 2001 \| colombo, sri lan \| cambodia \| 1-0 \| 1-0 \| friendly row 4 : 5 \| 30 may 2001 \| suphachalasai stadium, ban \| pakistan \| 1-0 \| 3-1 \| 2002 fifa world cup qualification (af row 5 : 6 \| 30 may 2001 \| supachalasai stadium \| pakistan \| 3-0 \| 3-1 \| 2002 fifa world cup qualification (af row 6 : 7 \| 4 april 2002 \| sugathadasa stadium, colo \| maldives \| 1-0 \| 1-0 \| friendly row 7 : 10 \| 3 december 2003 \| sugathadasa stadium, colo \| laos \| 2-0 \| 3-0 \| 2006 fifa world cup qualification (af row 8 : 12 \| 12 april 2006 \| ma aziz stadium, chittagong \| nepal \| 1-0 \| 1-1 \| 2006 afc challenge cup row 9 : 13 \| 24 march 2007 \| sugathadasa stadium, colo \| malaysia \| 1-4 \| 1-4 \| friendly row 10 : 14 \| 2 april 2008 \| chungshan stadium, tai \| guam \| 5-1 \| 5-1 \| 2008 afc challenge cup qualification row 11 : 15 \| 4 april 2008 \| chungshan stadium, tai \| pakistan \| 1-0 \| 7-1 \| 2008 afc challenge cup qualification row 12 : 16 \| 4 april 2008 \| chungshan stadium, tai \| pakistan \| 4-1 \| 7-1 \| 2008 afc challenge cup qualification row 13 : 17 \| 4 april 2008 \| chungshan stadium, tai \| pakistan \| 7-1 \| 7-1 \| 2008 afc challenge cup qualification row 14 : 19 \| 2 august 2008 \| gachibowli athletic stadium, \| myanmar \| 1-1 \| 1-3 \| 2008 afc challenge cup row 15 : 20 \| 4 april 2009 \| sugathadasa stadium, colo \| brunei \| 1-0 \| 5-1 \| 2010 afc challenge cup qualification row 16 : 21 \| 4 april 2009 \| sugathadasa stadium, colo \| brunei \| 3-0 \| 5-1 \| 2010 afc challenge cup qualification row 17 : 22 \| 4 april 2009 \| sugathadasa stadium, colo \| brunei \| 4-0 \| 5-1 \| 2010 afc challenge cup qualification row 18 : 23 \| 4 april 2009 \| sugathadasa stadium, colo \| brunei \| 5-0 \| 5-1 \| 2010 afc challenge cup qualification row 19 : 24 \| 6 april 2009 \| sugathadasa stadium, colo \| chinese taipei \| 1-0 \| 2-1 \| 2010 afc challenge cup qualification ] Execute this SQL based on the above table: select count ( opponent ) where # < 1	0
[ header: date \| race name \| location \| uci rating \| winner \| team row 1 : 16-21 january \| la tropicale amissa bongo \| gabon \| 2.2 \| frederic guesdon (fr \| francaise des jeux row 2 : 8-14 february \| tour d'egypte \| egypt \| 2.2 \| waylon woolcock (rsa) \| south africa (national team) row 3 : 16 february \| gp of sharm el \| egypt \| 1.2 \| jan sipeky (svk) \| dukla trencin-merida row 4 : 24 february-9 march \| tour du cameroun \| cameroon \| 2.2 \| flavien chipault (fra) \| leboulou row 5 : 6-11 march \| giro del capo \| south africa \| 2.2 \| alexander efimkin (rus \| barloworld row 6 : 17-23 march \| tour of libya \| libya \| 2.2 \| ahmed mohamed ali ( \| libya (national team) row 7 : 8 april \| grand prix de la ville de tunis \| tunisia \| 1.2 \| ahmed mraihi ( \| tunisia (national team) row 8 : 28 april-5 may \| tour de la pharmacie centrale de tunisie \| tunisia \| 2.2 \| hassen ben nasser ( \| pharmacie centrale row 9 : 14-20 may \| boucle du coton \| burkina faso \| 2.2 \| saidou rouamba (bur) \| burkina faso (national row 10 : 8-17 june \| tour du maroc \| morocco \| 2.2 \| nicholas white (rsa \| south africa (national team) row 11 : 30 august-8 september \| tour du senegal \| senegal \| 2.2 \| adil jelloul (mar) \| frmc-maroc row 12 : 16 september \| dome 2 dome cycling spectacular \| south africa \| 1.2 \| jaco venter (rsa) \| team neotel ] Execute this SQL based on the above table: select team where uci rating = '2.2'	francaise des jeux, south africa (national team), leboulou, barloworld, libya (national team), pharmacie centrale, burkina faso (national team), south africa (national team), frmc-maroc
[ header: year \| single \| chart \| position row 1 : 1999 \| "heavy" \| billboard hot 100 \| 73 row 2 : 1999 \| "heavy" \| mainstream rock tracks \| 1 row 3 : 1999 \| "heavy" \| modern rock tracks \| 5 row 4 : 1999 \| "run" \| billboard hot 100 \| 76 row 5 : 1999 \| "run" \| modern rock tracks \| 36 row 6 : 1999 \| "run" \| adult top 40 \| 12 row 7 : 1999 \| "no more, no less" \| mainstream rock tracks \| 10 row 8 : 1999 \| "no more, no less" \| modern rock tracks \| 32 row 9 : 1999 \| "tremble for my beloved" \| mainstream rock tracks \| 35 ] Execute this SQL based on the above table: select single order by year desc limit 1	"heavy"
[ header: country \| weapon designation \| weapon description \| year(s) delivered \| quantity delivered row 1 : brazil \| ee-11 urutu \| apc \| 1983-1984 \| 350 row 2 : china \| f-6 \| fighter aircraft \| 1982-1983 \| 40 row 3 : china \| type-63 107mm \| multiple rocket launcher \| 1984-1988 \| 100 row 4 : china \| wz-121/type 69 \| tank \| 1983-1987 \| 1500 row 5 : china \| hn-5a \| portable sam \| 1986-1987 \| 1000 row 6 : czechoslovakia \| bmp-2 \| infantry fighting vehicle \| 1987-1989 \| 250 row 7 : czechoslovakia \| t-55 \| tank \| 1982-1985 \| 400 row 8 : denmark \| al zahraa \| landing ship \| 1983 \| 3 row 9 : east germany \| t-55 \| tank \| 1981 \| 50 row 10 : egypt \| m-46 130mm \| towed gun \| 1981-1983 \| 96 row 11 : france \| sa-330 puma \| helicopter \| 1980-1981 \| 20 row 12 : france \| m-3 vtt \| apc \| 1983-1984 \| 115 row 13 : france \| trs-2100 tiger \| air surv radar \| 1988 \| 1 row 14 : france \| trs-2230/15 tiger \| air surv radar \| 1984-1985 \| 6 row 15 : france \| am-39 exocet \| anti-ship missile \| 1979-1988 \| 352 row 16 : france \| as-30l \| asm \| 1986-1990 \| 240 row 17 : france \| r-550 magic-1 \| sraam \| 1981-1985 \| 534 row 18 : italy \| a-109 hirundo \| light helicopter \| 1982 \| 2 row 19 : poland \| t-72m1 \| tank \| 1982-1990 \| 500 row 20 : romania \| t-55 \| tank \| 1982-1984 \| 150 row 21 : yugoslavia \| m-87 orkan 262mm \| multiple rocket launcher \| 1988 \| 2 row 22 : united states \| md-500md defender \| light helicopter \| 1983 \| 30 row 23 : united states \| md-530f \| light helicopter \| 1986 \| 26 row 24 : soviet union \| mig-21bis/fishbed-n \| fighter aircraft \| 1983-1984 \| 61 row 25 : soviet union \| mig-23bn/flogger- \| fga aircraft \| 1984-1985 \| 50 row 26 : soviet union \| su-22/fitter-h/j/ \| fga aircraft \| 1986-1987 \| 61 row 27 : soviet union \| su-25/frogfoot-a \| ground attack aircraft \| 1986-1987 \| 84 row 28 : soviet union \| 9p117/ss-1 scu \| ssm launcher \| 1983-1984 \| 10 row 29 : soviet union \| bm-21 grad 122mm \| multiple rocket launcher \| 1983-1988 \| 560 row 30 : soviet union \| d-30 122mm \| towed gun \| 1982-1988 \| 576 row 31 : soviet union \| sa-9/9p31 \| aav(m) \| 1982-1985 \| 160 row 32 : soviet union \| long track \| air surv radar \| 1980-1984 \| 10 row 33 : soviet union \| sa-8b/9k33m \| mobile sam system \| 1982-1985 \| 50 row 34 : soviet union \| thin skin \| air surv radar \| 1980-1984 \| 5 row 35 : soviet union \| 9m111/at-4 spigot \| anti-tank missile \| 1986-1989 \| 3000 row 36 : soviet union \| 9m37/sa-13 gopher \| sam \| 1985-1986 \| 960 ] Execute this SQL based on the above table: select max ( quantity delivered )	3000.0
[ header: date and time \| opponent \| location \| notes row 1 : 26 june 1918, 2035 hrs \| pfalz d.ii \| east of albert, somme \| None row 2 : 13 july 1918, 0857 hrs \| albatros d.v \| poperinghe \| None row 3 : 3 august 1918, 0930 hrs \| fokker d.vii \| southeast of ostend \| None row 4 : 13 august 1918, 1352 hrs \| fokker d.vii \| north of roye, somme \| flown by lothar von richthofen row 5 : 2 september 1918, 1150 hrs \| fokker d.vii \| south of rumaucourt \| None row 6 : 5 september 1918, 1720 hrs \| fokker d.vii \| saint-quentin, aisne \| None row 7 : 15 september 1918, 1050 hrs \| fokker d.vii \| epinoy \| None row 8 : 17 september 1918, 1300 hrs \| fokker d.vii \| epinoy \| None row 9 : 24 september 1918, 0728 hrs \| fokker d.vii \| west of cambrai \| None row 10 : 26 september 1918, 1325 hrs \| fokker d.vii \| east of bourlon wood \| None row 11 : 27 september 1918, 0920 hrs \| halberstadt (unspecified c \| noyelles-sous-lens \| None row 12 : 28 october 1918, 1205 \| fokker d.vii \| villers-pol \| shared with lt. jesse ] Execute this SQL based on the above table: select notes where notes in ( 'None' , 'shared with lt. jesse creech' ) order by location desc limit 1	shared with lt. jesse creech
[ header: ime exchange (including spot, credit and forward transactions) \| 2007/08 \| 2008/09 \| 2009/10 \| 2010/11 \| 2011/12 row 1 : agricultural - volume (thousand tons) \| 273 \| 173.5 \| 175.2 \| 1633.9 \| 550 row 2 : agricultural - value (billion rials \| 772.6 \| 3729.7 \| 484.8 \| 3729 \| 3793 row 3 : manufacturing and metal - volume (thousand \| 6443.8 \| 6679.7 \| 7438.5 \| 8694 \| 11685 row 4 : manufacturing and metal - value (billion \| 58044.2 \| 62120.6 \| 53842 \| 75235.5 \| 102356 row 5 : oil and petrochemical - volume ( \| 89.7 \| 4339.2 \| 7052.9 \| 6662.6 \| 8117 row 6 : oil and petrochemical - value ( \| 352.7 \| 19921 \| 36450.7 \| 41478 \| 64370 row 7 : grand total - volume (thousand tons \| 6806.5 \| 11192.4 \| 14666.6 \| 16990.5 \| 20351 row 8 : grand total - value (billion rial \| 59169.4 \| 82685.3 \| 90777.5 \| 120443.2 \| 170519 ] Execute this SQL based on the above table: select ime exchange (including spot, credit and forward transactions) where ime exchange (including spot, credit and forward transactions) = 'grand total - value (billion rials)' order by ime exchange (including spot, credit and forward transactions) limit 1980	grand total - value (billion rials)
[ header: # \| employer \| # of employees row 1 : 1 \| medline \| 1200 row 2 : 2 \| mundelein park district \| 422 row 3 : 3 \| amcor \| 350 row 4 : 4 \| fremont school district 79 \| 287 row 5 : 5 \| university of saint mary of the lake \| 220 row 6 : 6 \| mundelein elementary school district 75 \| 213 row 7 : 7 \| mundelein high school \| 211 row 8 : 8 \| village of mundelein \| 183 ] Execute this SQL based on the above table: select count ( * ) where employer = 'medline'	1
[ header: version \| length \| album \| remixed by \| year \| comment row 1 : album/single version \| 4:30 \| avant que l'ombre \| None \| 2005 \| see the previous sections row 2 : radio edit \| 3:55 \| None \| None \| 2005 \| the musical introduction is almost fully deleted, as well row 3 : instrumental \| 4:32 \| None \| laurent boutonnat \| 2005 \| this instrumental version is identical to the album version, row 4 : the martyr's remix \| 5:20 \| None \| y-front \| 2005 \| this version contains all the lyrics of the album version row 5 : mother f... dub mix \| 7:50 \| None \| joachim garraud \| 2005 \| all the lyrics from the original version are deleted, row 6 : mother f... vocal club mix \| 8:30 \| None \| joachim garraud \| 2005 \| devoted to the nightclubs, this techno row 7 : music video \| 5:02 \| music videos iv \| None \| 2005 \| None row 8 : live version (recorded in 2006) \| 6:42 (audio) 8:18 ( \| avant que l'ombre... a \| None \| 2006 \| this version is similar to the album one, with ] Execute this SQL based on the above table: select year where year in ( 2005 , 528 )	2005, 2005, 2005, 2005, 2005, 2005, 2005
[ header: represented \| contestant \| age \| height \| hometown row 1 : azua \| patricia tomas ferro \| 21 \| 1.78 m (5 ft 10 in \| santo domingo row 2 : com. dom. nueva york \| carol maria arciniegas j \| 20 \| 1.78 m (5 ft 10 in \| washington heights row 3 : dajabon \| elizabeth rondon garcia \| 18 \| 1.75 m (5 ft 9 in \| loma de cabrera row 4 : distrito nacional \| melanie pimentel de la \| 26 \| 1.69 m (5 ft 6 1 \| los alcarrizos row 5 : duverge \| yilda santana \| 22 \| 1.80 m (5 ft 10 3 \| santo domingo row 6 : hato mayor \| sarah maria reyes \| 20 \| 1.75 m (5 ft 9 in \| san cristobal row 7 : la romana \| suanny frontaan de la cruz \| 22 \| 1.82 m (5 ft 11 3 \| la romana row 8 : licey al medio \| ana carolina frometa cru \| 22 \| 1.77 m (5 ft 9 3 \| santiago de los caballe row 9 : moca \| cindy arias morton \| 25 \| 1.80 m (5 ft 10 3 \| moca row 10 : monte cristi \| carolina ayala cro \| 18 \| 1.71 m (5 ft 7 1 \| san felipe de puerto row 11 : neiba \| sandra castellanos de fermin \| 21 \| 1.76 m (5 ft 9 1 \| santo domingo row 12 : samana \| lucrecia vargas camacho \| 20 \| 1.74 m (5 ft 8 1 \| moca row 13 : san cristobal \| elisa mercedes \| 19 \| 1.74 m (5 ft 8 1 \| san cristobal row 14 : san francisco de macoris \| johanna del carmen espa \| 19 \| 1.76 m (5 ft 9 1 \| san francisco de macoris row 15 : san jose de las mata \| karina german fernandez \| 24 \| 1.77 m (5 ft 9 3 \| santiago de los caballe row 16 : san juan \| lizette de los santos \| 23 \| 1.78 m (5 ft 10 in \| san juan de la magu row 17 : santiago \| amelia victoria vega \| 17 \| 1.85 m (6 ft 3⁄ \| santiago de los caballe row 18 : santiago rodriguez \| martha zamora ta \| 20 \| 1.83 m (6 ft 0 \| santiago de los caballe row 19 : santo domingo oeste \| aurora sardena fiallo \| 25 \| 1.79 m (5 ft 10 1 \| santo domingo row 20 : valverde \| lourdes medina acosta \| 21 \| 1.72 m (5 ft 7 3 \| laguna salada ] Execute this SQL based on the above table: select age order by represented asc limit 1	21
[ 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 title where title = '"promises, promises"/lover come back'	"promises, promises"/lover come back
[ header: rank \| film \| year \| opening weekend (three day) \| inflation-adjusted (2014 usd) row 1 : 1 \| marvel's the avengers \| 2012 \| $207,438,708 \| $213,091,480 row 2 : 2 \| iron man 3 \| 2013 \| $174,144,585 \| $176,308,953 row 3 : 3 \| harry potter and the deathly hall \| 2011 \| $169,189,427 \| $177,373,590 row 4 : 4 \| the dark knight rises \| 2012 \| $160,887,295 \| $165,271,526 row 5 : 5 \| the dark knight \| 2008 \| $158,411,483 \| $173,518,111 row 6 : 6 \| the hunger games: catching fire \| 2013 \| $158,074,286 \| $160,038,924 row 7 : 7 \| the hunger games \| 2012 \| $152,535,747 \| $156,692,396 row 8 : 8 \| spider-man 3 \| 2007 \| $151,116,516 \| $171,876,545 row 9 : 9 \| the twilight saga: \| 2009 \| $142,839,137 \| $157,018,918 row 10 : 10 \| the twilight saga: \| 2012 \| $141,067,634 \| $144,911,773 row 11 : 11 \| the twilight saga: \| 2011 \| $138,122,261 \| $144,803,619 row 12 : 12 \| pirates of the caribbean: dead \| 2006 \| $135,634,554 \| $158,673,173 row 13 : 13 \| iron man 2 \| 2010 \| $128,122,480 \| $138,563,103 row 14 : 14 \| harry potter and the deathly hall \| 2010 \| $125,017,372 \| $135,204,962 row 15 : 15 \| shrek the third \| 2007 \| $121,629,270 \| $138,338,411 row 16 : 16 \| man of steel \| 2013 \| $116,619,362 \| $118,068,774 row 17 : 17 \| alice in wonderland \| 2010 \| $116,101,023 \| $125,562,025 row 18 : 18 \| spider-man \| 2002 \| $114,844,116 \| $150,582,840 row 19 : 19 \| pirates of the caribbean: at \| 2007 \| $114,732,820 \| $130,494,543 row 20 : 20 \| toy story 3 \| 2010 \| $110,307,189 \| $119,296,055 row 21 : 21 \| transformers: revenge of the fallen \| 2009 \| $108,966,307 \| $119,783,499 row 22 : 22 \| star wars episode iii: revenge \| 2005 \| $108,435,841 \| $130,939,650 row 23 : 23 \| shrek 2 \| 2004 \| $108,037,878 \| $134,895,074 row 24 : 24 \| x-men: the last stand \| 2006 \| $102,750,665 \| $120,203,691 row 25 : 25 \| harry potter and the goblet \| 2005 \| $102,685,961 \| $123,996,491 row 26 : 26 \| indiana jones and the kingdom of \| 2008 \| $100,137,835 \| $109,687,301 ] Execute this SQL based on the above table: select film order by rank desc limit 1	indiana jones and the kingdom of the crystal skull
[ header: name \| type \| r.a. (j2000) \| dec. (j2000) \| redshift (km/s) \| apparent magnitude row 1 : ic 2049 \| sab(s)d? \| 04h 12m 04.3s \| -58° 33′ 25′′ \| 1469 ± 7 \| 14.5 row 2 : ngc 1536 \| sb(s)c pec \| 04h 10m 59.8s \| -56° 28′ 50′′ \| 1217 ± 13 \| 13.2 row 3 : ngc 1543 \| (r)sb(l)00 \| 04h 12m 43.2s \| -57° 44′ 17′′ \| 1176 ± 7 \| 11.5 row 4 : lsbg f157-08 \| irregular \| 04h 27m 13.7s \| -57° 25′ 42′′ \| 1215 ± 7 \| 16.7 row 5 : ngc 1533 \| (l)sb(rs)00 \| 04h 09m 51.8s \| -56° 07′ 06′′ \| 790 ± 5 \| 11.7 row 6 : ic 2038 \| sd pec \| 04h 08m 53.7s \| -55° 59′ 22′′ \| 712 ± 52 \| 15.5 row 7 : apmbgc 157+0 \| irregular \| 04h 22m 51.7s \| -56° 13′ 39′′ \| 1350 ± 4 \| 16.3 row 8 : ngc 1546 \| sa0+? \| 04h 14m 36.5s \| -56° 03′ 39′′ \| 1284 ± 14 \| 11.8 row 9 : ic 2058 \| sc \| 04h 17m 54.3s \| -55° 55′ 58′′ \| 1379 ± 1 \| 13.9 row 10 : ic 2032 \| iab(s)m pec \| 04h 07m 03.0s \| -55° 19′ 26′′ \| 1068 ± 7 \| 14.7 row 11 : ngc 1596 \| sa0: sp \| 04h 27m 38.1s \| -55° 01′ 40′′ \| 1510 ± 8 \| 12.1 row 12 : ngc 1515 \| sab(s)bc \| 04h 04m 02.7s \| -54° 06′ 00′′ \| 1175 ± 7 \| 12.1 row 13 : ngc 1522 \| (r')s00: pec \| 04h 06m 07.9s \| -52° 40′ 06′′ \| 898 ± 7 \| 13.9 row 14 : eso 157-030 \| e4 \| 04h 27m 32.6s \| -54° 11′ 48′′ \| 1471 ± 28 \| 14.7 row 15 : eso 157-047 \| s0/a? pec s \| 04h 39m 19.1s \| -54° 12′ 41′′ \| 1655 ± 10 \| 15.5 row 16 : eso 157-049 \| s? \| 04h 39m 36.9s \| -53° 00′ 46′′ \| 1678 ± 5 \| 14.3 row 17 : ic 2085 \| s00 pec sp \| 04h 31m 24.2s \| -54° 25′ 01′′ \| 982 ± 10 \| 13.9 row 18 : ngc 1549 \| e0-1 \| 04h 15m 45.1s \| -55° 35′ 32′′ \| 1220 ± 15 \| 10.7 row 19 : ngc 1553 \| sa(rl)00 \| 04h 16m 10.5s \| -55° 46′ 49′′ \| 1080 ± 11 \| 10.3 row 20 : ngc 1574 \| sa0- \| 04h 21m 58.8s \| -56° 58′ 29′′ \| 1050 ± 25 \| 11.4 row 21 : ngc 1581 \| s0- \| 04h 24m 44.9s \| -54° 56′ 31′′ \| 1600 ± 27 \| 13.6 ] Execute this SQL based on the above table: select dec. (j2000) order by id desc limit 1	-54° 56′ 31′′
[ header: opposition \| matches \| won \| drawn \| lost \| for \| against \| win% row 1 : bhopal badshahs \| 2 \| 0 \| 1 \| 1 \| 7 \| 8 \| 0.00% row 2 : chennai cheeta \| 2 \| 1 \| 0 \| 1 \| 6 \| 5 \| 50.00% row 3 : delhi wizards \| 2 \| 2 \| 0 \| 0 \| 4 \| 2 \| 100.00% row 4 : karnataka lions \| 2 \| 1 \| 0 \| 1 \| 8 \| 4 \| 50.00% row 5 : mumbai marines \| 2 \| 2 \| 0 \| 0 \| 9 \| 5 \| 100.00% row 6 : pune strykers \| 3 \| 2 \| 0 \| 1 \| 11 \| 8 \| 66.67% row 7 : sher-e-punjab \| 2 \| 1 \| 0 \| 1 \| 5 \| 6 \| 50.00% ] Execute this SQL based on the above table: select abs ( ( select win% where opposition = 'karnataka lions' ) - ( select win% where opposition = 'karnataka lions' ) )	0.0
[ header: year \| single \| peak chart positions us \| peak chart positions us r&b \| peak chart positions aus \| peak chart positions can \| peak chart positions nld \| peak chart positions nz \| peak chart positions uk \| certifications \| album row 1 : 1992 \| "happy days" \| 86 \| 13 \| None \| None \| None \| None \| None \| None \| lose control row 2 : 1993 \| "freak me" \| 1 \| 1 \| 3 \| 43 \| 42 \| 9 \| 46 \| us: platinum \| lose control row 3 : 1993 \| "girl u for me" \| 26 \| 4 \| None \| None \| None \| 30 \| 67 \| None \| lose control row 4 : 1993 \| "lose control" \| 26 \| 4 \| None \| None \| None \| None \| None \| None \| lose control row 5 : 1993 \| "it had to be you" \| 109 \| 45 \| None \| None \| None \| None \| None \| None \| lose control row 6 : 1993 \| "baby it's you" \| None \| None \| None \| None \| None \| None \| 44 \| None \| lose control row 7 : 1994 \| "i can go deep" \| 71 \| 22 \| None \| None \| None \| None \| None \| None \| a low down dirty shame / silk row 8 : 1995 \| "hooked on you" \| 54 \| 12 \| None \| None \| None \| 11 \| 81 \| None \| silk row 9 : 1996 \| "don't rush" \| 91 \| 39 \| None \| None \| None \| None \| None \| None \| silk row 10 : 1999 \| "if you (lovin' me)" \| 13 \| 4 \| None \| None \| None \| 28 \| None \| us: gold \| tonight row 11 : 1999 \| "meeting in my bedroom" \| 62 \| 15 \| None \| None \| None \| None \| None \| None \| tonight row 12 : 1999 \| "let's make love" \| None \| 58 \| None \| None \| None \| None \| None \| None \| tonight row 13 : 2001 \| "we're callin u" \| None \| 56 \| None \| None \| None \| None \| None \| None \| love session row 14 : 2001 \| "ebony eyes" \| None \| None \| None \| None \| None \| None \| None \| None \| love session row 15 : 2003 \| "silktime" \| None \| None \| None \| None \| None \| None \| None \| None \| silktime row 16 : 2004 \| "side show" \| None \| 66 \| None \| None \| None \| None \| None \| None \| silktime row 17 : 2006 \| "the secret garden (sweet seduction suite) \| None \| None \| None \| None \| None \| None \| None \| None \| always and forever ] Execute this SQL based on the above table: select single where single in ( '"hooked on you"' , '"lose control"' ) order by year desc limit 1	"hooked on you"
[ header: season \| head coach \| conf. \| overall row 1 : 1940-41 \| henry swasey \| 3-5 \| 9-8 row 2 : 1941-42 \| henry swasey \| 0-8 \| 4-15 row 3 : 1942-43 \| henry swasey \| 2-6 \| 4-14 row 4 : 1945-46 \| henry swasey \| 0-4 \| 3-7 row 5 : 1946-47 \| ed stanczyk \| 0-5 \| 6-11 row 6 : 1947-48 \| ed stanczyk \| 2-5 \| 5-12 row 7 : 1948-49 \| ed stanczyk \| 2-6 \| 7-10 row 8 : 1949-50 \| ed stanczyk \| 1-5 \| 4-11 ] Execute this SQL based on the above table: select count ( * ) where conf. = '2-5' and id <= 10	1
[ header: year \| english title \| japanese \| romanization \| type row 1 : 1991 \| (toppu! minipato ta \| 突風! ミニハト隊アイキャッチ・シャンクション \| toppu! minipato tai \| video row 2 : 1991 \| (redi hanta: kor \| レティハンター殺しのフレュート \| redi hanta: koro \| video row 3 : 1995 \| (daisan no gokudo \| 第三の極道 \| daisan no gokudo \| video row 4 : 1995 \| osaka tough guys \| なにわ遊侠伝 \| naniwa yukyo \| video row 5 : 1996 \| the way to fight \| 喧嘩の花道大阪最強伝説 \| kenka no hanamichi: \| video row 6 : 1997 \| full metal yakuza \| full metal 極道 \| full metal gokudo \| video row 7 : 1998 \| the bird people in china \| 中国の鳥人 \| chugoku no chojin \| film row 8 : 1998 \| blues harp \| blues harp \| None \| film row 9 : 1999 \| man, a natural girl \| 天然少女萬 \| tennen shojo man \| tv row 10 : 1999 \| ley lines \| 日本黒社会 \| nihon kuroshaka \| film row 11 : 1999 \| salaryman kintaro white collar worker \| サラリーマン金太郎 \| sarariiman kintaro \| film row 12 : 2000 \| the making of 'gemini' \| (unknown) \| tsukamoto shin' \| tv documentary row 13 : 2001 \| ichi the killer \| 殺し屋1 \| koroshiya 1 \| film row 14 : 2002 \| dead or alive: final \| dead or alive final \| None \| film row 15 : 2002 \| (onna kunishu ikk \| おんな国衆一揆 \| onna kunishu ikk \| (unknown) row 16 : 2003 \| koshonin \| 交渉人 \| koshonin \| tv row 17 : 2004 \| zebraman \| セフラーマン \| zeburaman \| film row 18 : 2006 \| big bang love, juvenile a 4.6 \| 46億年の恋 \| 46-okunen no koi \| film row 19 : 2006 \| imprint episode from masters of horror \| インフリント ~ほっけえ、きょうてえ~ \| inpurinto ~bokke ky \| tv episode row 20 : 2006 \| waru: kanketsu-hen \| None \| waru: kanketsu-hen \| video row 21 : 2009 \| crows zero 2 \| クロースzero 2 \| kurozu zero 2 \| film row 22 : 2011 \| hara-kiri: death of a \| 一命 \| ichimei \| film row 23 : 2012 \| ace attorney \| 逆転裁判 \| gyakuten saiban \| film row 24 : 2013 \| shield of straw \| 藁の楯 \| wara no tate \| film ] Execute this SQL based on the above table: select type where english title = 'shield of straw'	film
[ header: edition \| year \| men's winner \| time \| women's winner \| time row 1 : 29th \| october 14, 2012 \| dickson kiptolo \| 2:05:46 \| aberume mekuria (eth \| 2:27:20 row 2 : 28th \| october 9, 2011 \| jafred chirchir kipchu \| 2:05:48 \| georgina rono (ken) \| 2:24:33 row 3 : 26th \| october 11, 2009 \| geoffrey mutai (ken) \| 2:07:01 \| beata naigambo (nam) \| 2:31:01 row 4 : 25th \| october 12, 2008 \| geoffrey mutai (ken) \| 2:07:49 \| lydia kurgat (ken \| 2:33:39 row 5 : 24th \| october 14, 2007 \| philip singoei (ken) \| 2:07:57 \| lydia kurgat (ken \| 2:39:21 row 6 : 23rd \| october 8, 2006 \| philip singoei (ken) \| 2:08:18 \| agnes hijman (ned \| 2:54:36 row 7 : 22nd \| october 9, 2005 \| boniface usisivu (ken \| 2:08:45 \| tatyana perepelkina ( \| 2:38:27 row 8 : 21st \| october 10, 2004 \| willy cheruiyot ( \| 2:09:20 \| annelieke van der sluij \| 2:37:33 row 9 : 20th \| october 12, 2003 \| willy cheruiyot ( \| 2:09:05 \| vivian ruijters \| 2:36:36 row 10 : 19th \| october 13, 2002 \| willy cheruiyot ( \| 2:10:12 \| marleen van reusel (bel) \| 2:54:23 row 11 : 18th \| october 14, 2001 \| samuel tangus ( \| 2:12:47 \| valentina poltavs \| 2:54:30 row 12 : 16th \| october 10, 1999 \| david ngetich (ken) \| 2:09:24 \| nadezhda wij \| 2:28:45 row 13 : 12th \| october 8, 1995 \| pyotro sarafiny \| 2:16:40 \| carla beurskens (ned \| 2:35:16 row 14 : 11th \| october 9, 1994 \| aiduna aitnafa \| 2:11:37 \| jeanne jansen (ned \| 2:45:03 row 15 : 7th \| october 14, 1990 \| john vermeule (ned \| 2:15:03 \| mieke hombergen (ne \| 2:44:59 row 16 : 6th \| october 16, 1988 \| jean-pierre paumen (bel \| 2:14:54 \| heather macduff (eng) \| 2:34:26 row 17 : 5th \| october 12, 1986 \| kim reynierse (n \| 2:15:13 \| heather macduff (eng) \| 2:55:39 row 18 : 3rd \| october 24, 1982 \| lucien rottiers (bel) \| 2:16:27 \| ann rindt (ned) \| 2:59:07 row 19 : None \| 1961-1981 \| marathon race not held \| None \| None \| None ] Execute this SQL based on the above table: select count ( * ) where women's winner = 'annelieke van der sluijs (ned)' and women's winner = 'marleen van reusel (bel)'	0
[ header: draw \| country \| language \| artist \| song \| english translation \| place \| points row 1 : 1 \| belgium \| dutch \| bobbejaan schoepen \| "straatdeuntje" \| street tune \| 8 \| 5 row 2 : 2 \| luxembourg \| french \| daniele dupre \| "amours mortes (tant de peine \| dead love (so much sorrow) \| 4 \| 8 row 3 : 3 \| united kingdom \| english \| patricia bredin \| "all" \| None \| 7 \| 6 row 4 : 4 \| italy \| italian \| nunzio gallo \| "corde della mia chi \| strings of my guitar \| 6 \| 7 row 5 : 5 \| austria \| german \| bob martin \| "wohin, kleines pony?" \| where to, little pony? \| 10 \| 3 row 6 : 6 \| netherlands \| dutch \| corry brokken \| "net als toen" \| just like then \| 1 \| 31 row 7 : 7 \| germany \| german \| margot hielscher \| "telefon, telefon" \| telephone, telephone \| 4 \| 8 row 8 : 8 \| france \| french \| paule desjardins \| "la belle amour" \| beautiful love \| 2 \| 17 row 9 : 9 \| denmark \| danish \| birthe wilke & gusta \| "skibet skal sejle \| the ship will sail tonight \| 3 \| 10 row 10 : 10 \| switzerland \| french \| lys assia \| "l'enfant que j'et \| the child i was \| 8 \| 5 ] Execute this SQL based on the above table: select artist where points <= 1705	bobbejaan schoepen, daniele dupre, patricia bredin, nunzio gallo, bob martin, corry brokken, margot hielscher, paule desjardins, birthe wilke & gustav winckler, lys assia
[ header: no. \| race title \| track \| date \| tv row 1 : 1 \| nextera energy resources 250 \| daytona international speedway, dayt \| february 21 \| fs1 row 2 : 2 \| kroger 250 \| martinsville speedway, martin \| march 30 \| fs1 row 3 : 3 \| sfp 250 \| kansas speedway, kan \| may 9 \| fs1 row 4 : 4 \| north carolina education lottery 200 \| charlotte motor speedway, concord \| may 16 \| fs1 row 5 : 5 \| lucas oil 200 \| dover international speedway, dover \| may 30 \| fs1 row 6 : 6 \| winstar world casino 400k \| texas motor speedway, fort \| june 6 \| fs1 row 7 : 7 \| gateway 200 \| gateway motorsports park, madison, \| june 14 \| fs1 row 8 : 8 \| unoh 225 \| kentucky speedway, s \| june 26 \| fs1 row 9 : 9 \| american ethanol 200 \| iowa speedway, newton \| july 12 \| fs1 row 10 : 10 \| mudsummer classic \| eldora speedway, new weston \| july 23 \| fs1 row 11 : 11 \| pocono mountains 150 \| pocono raceway, long pond \| august 2 \| fs1 row 12 : 12 \| michigan national guard 200 \| michigan international speedway, brooklyn \| august 16 \| fs1 row 13 : 13 \| unoh 200 \| bristol motor speedway, b \| august 20 \| fs1 row 14 : 14 \| chevy silverado 250 \| canadian tire motorsport park, bowman \| august 31 \| fs1 row 15 : 15 \| enjoyillinois.com 225 \| chicagoland speedway, joliet \| september 12 \| fs1 row 16 : 16 \| unoh 175 \| new hampshire motor speedway, loud \| september 20 \| fs1 row 17 : 17 \| smith's 350 \| las vegas motor speedway, la \| september 27 \| fs1 row 18 : 18 \| fred's 250 \| talladega superspeedway, talla \| october 18 \| fox row 19 : 19 \| kroger 200 \| martinsville speedway, martin \| october 25 \| fs1 row 20 : 20 \| winstar world casino 350k \| texas motor speedway, fort \| october 31 \| fs1 row 21 : 21 \| lucas oil 150 \| phoenix international raceway, a \| november 7 \| fs1 row 22 : 22 \| ford ecoboost 200 \| homestead-miami speedway, home \| november 14 \| fs1 ] Execute this SQL based on the above table: select race title where id = ( select id where race title = 'american ethanol 200' ) + 1	mudsummer classic
[ header: series \| year \| rank \| average audience share row 1 : 1 \| 1992 \| None \| 14.50m row 2 : 2 \| 1993 \| None \| None row 3 : 3 \| 1993 \| None \| None row 4 : 4 \| 1994 \| None \| None row 5 : 5 \| 1995 \| None \| None row 6 : 6 \| 1996 \| None \| 14.60m row 7 : 7 \| 1997-1998 \| None \| 15.82m row 8 : 8 \| 1998-1999 \| 5th \| 14.35m row 9 : 9 \| 1999-2000 \| 6th \| 13.71m row 10 : 10 \| 2000-2001 \| 5th \| 13.21m row 11 : 11 \| 2001-2002 \| 6th \| 10.77m row 12 : 12 \| 2002-2003 \| 7th \| 11.29m row 13 : 13 \| 2003-2004 \| 8th \| 13.11m row 14 : 14 \| 2004-2005 \| 10th \| 8.77m row 15 : 15 \| 2005-2006 \| 10th \| 8.42m row 16 : 16 \| 2006-2007 \| 8th \| 7.80m row 17 : 17 \| 2007-2008 \| 11th \| 6.90m row 18 : 18 \| 2008-2010 \| 15th \| 5.44m (incl. itv ] Execute this SQL based on the above table: select count ( * ) where rank = '6th'	2
[ header: order in position \| president of the republic \| length of the presidential action \| rank by length of term(s) \| notes row 1 : 1 \| k. j. stahlberg \| 5 years, 220 days \| 8 \| 1 term serving row 2 : 2 \| lauri kristian relander \| 6 years, 0 days one leap year (19 \| 6 \| 1 term serving row 3 : 3 \| p. e. svinh \| 5 years, 364 days two leap years (19 \| 6 \| 1 term serving row 4 : 4 \| kyosti kallio \| 3 years, 293 days \| 9 \| resigned due to poor health row 5 : 5 \| risto ryti \| 3 years, 229 days \| 10 \| resigned due to agreement with nazi german row 6 : 6 \| gustaf mannerheim \| 1 year, 219 days \| 11 \| resigned due to poor health and after not row 7 : 7 \| j. k. paasiki \| 9 years, 356 days \| 4 \| 2 terms serving (remainder of mannerheim row 8 : 8 \| urho kekkonen \| 25 years, 332 days \| 1 \| 3 whole terms serving (the 3rd exceptionally row 9 : 9 \| mauno koivisto \| 12 years, 33 days \| 2 \| 2 terms serving row 10 : 10 \| martti ahtisa \| 6 years, 0 days two leap years (19 \| 5 \| 1 term serving row 11 : 11 \| tarja halonen \| 12 years, 0 days \| 3 \| 2 terms serving row 12 : 12 \| sauli niinisto \| 2 years, 115 days \| None \| incumbent: first term serving ] Execute this SQL based on the above table: select notes group by notes order by count ( * ) desc limit 1	1 term serving
[ header: z \| element \| observed or predicted \| isolated (widely known) \| observer \| first isolator \| notes row 1 : 42 \| molybdenum \| 1778 \| 1781 \| w. scheele \| j. hjelm \| scheele recognised the metal as a constituent row 2 : 74 \| tungsten \| 1781 \| 1783 \| t. bergman \| j. and f. el \| bergman obtained from scheelite an row 3 : 58 \| cerium \| 1803 \| 1839 \| h. klaproth, j \| g. mosander \| berzelius and hisinger discovered the element row 4 : 3 \| lithium \| 1817 \| 1821 \| a. arfwedson \| w. t. brande \| arfwedson discovered the alkali row 5 : 35 \| bromine \| 1825 \| 1825 \| j. balard and l. \| j. balard and l. \| they both discovered the element in the autumn of 18 row 6 : 90 \| thorium \| 1829 \| None \| j. berzelius \| None \| berzelius obtained the oxide of a row 7 : 69 \| thulium \| 1879 \| 1879 \| t. cleve \| t. cleve \| cleve split marignac's er row 8 : 10 \| neon \| 1898 \| 1898 \| w. ramsay and w. \| w. ramsay and w. \| in june 1898 ramsay separated row 9 : 86 \| radon \| 1898 \| 1910 \| e. dorn \| w. ramsay and r. \| dorn discovered a radioactive gas row 10 : 89 \| actinium \| 1899 \| 1899 \| a.-l. debierne \| a.-l. debierne \| debierne obtained from pitchblende row 11 : 71 \| lutetium \| 1906 \| 1906 \| g. urbain and c.a. \| g. urbain and c.a. \| urbain and von welsbach proved independently that row 12 : 75 \| rhenium \| 1908 \| 1908 \| m. ogawa \| m. ogawa \| ogawa found it in thori ] Execute this SQL based on the above table: select first isolator where id = ( select id where first isolator = 'm. ogawa' ) - 1	g. urbain and c.a. von welsbach
[ header: county \| obama% \| obama# \| mccain% \| mccain# \| total row 1 : andrew \| 38.8% \| 3345 \| 61.2% \| 5279 \| 8624 row 2 : audrain \| 41.8% \| 4434 \| 58.2% \| 6167 \| 10601 row 3 : barry \| 32.2% \| 4630 \| 67.8% \| 9758 \| 14388 row 4 : boone \| 56.1% \| 47062 \| 43.9% \| 36849 \| 83911 row 5 : buchanan \| 50.1% \| 19164 \| 49.9% \| 19110 \| 38274 row 6 : carroll \| 34.2% \| 1535 \| 65.8% \| 2955 \| 4490 row 7 : carter \| 34.8% \| 984 \| 65.2% \| 1840 \| 2824 row 8 : cedar \| 32.9% \| 2060 \| 67.1% \| 4194 \| 6254 row 9 : clay \| 49.7% \| 53761 \| 50.3% \| 54516 \| 108277 row 10 : cooper \| 37.9% \| 2996 \| 62.1% \| 4902 \| 7898 row 11 : dekalb \| 36.9% \| 1692 \| 63.1% \| 2889 \| 4581 row 12 : douglas \| 32.7% \| 2140 \| 67.3% \| 4405 \| 6545 row 13 : gentry \| 38.6% \| 1235 \| 61.4% \| 1964 \| 3199 row 14 : greene \| 42.0% \| 56181 \| 58.0% \| 77683 \| 133864 row 15 : grundy \| 34.5% \| 1580 \| 65.5% \| 3006 \| 4586 row 16 : hickory \| 43.2% \| 2171 \| 56.8% \| 2850 \| 5021 row 17 : howard \| 42.9% \| 2036 \| 57.1% \| 2708 \| 4744 row 18 : howell \| 34.3% \| 5736 \| 65.7% \| 10982 \| 16718 row 19 : jefferson \| 51.3% \| 53467 \| 48.7% \| 50804 \| 104271 row 20 : knox \| 38.5% \| 759 \| 61.5% \| 1212 \| 1971 row 21 : lewis \| 41.5% \| 1837 \| 58.5% \| 2594 \| 4431 row 22 : lincoln \| 44.2% \| 10234 \| 55.8% \| 12924 \| 23158 row 23 : livingston \| 37.9% \| 2435 \| 62.1% \| 3993 \| 6428 row 24 : madison \| 41.3% \| 2042 \| 58.7% \| 2897 \| 4939 row 25 : maries \| 35.9% \| 1599 \| 64.1% \| 2853 \| 4452 row 26 : marion \| 37.9% \| 4703 \| 62.1% \| 7705 \| 12408 row 27 : mercer \| 30.7% \| 519 \| 69.3% \| 1169 \| 1688 row 28 : miller \| 31.3% \| 3553 \| 68.7% \| 7797 \| 11350 row 29 : moniteau \| 31.8% \| 2084 \| 68.2% \| 4467 \| 6551 row 30 : montgomery \| 40.6% \| 2347 \| 59.4% \| 3428 \| 5775 row 31 : morgan \| 39.5% \| 3565 \| 60.5% \| 5451 \| 9016 row 32 : oregon \| 40.6% \| 1811 \| 59.4% \| 2652 \| 4463 row 33 : pike \| 45.0% \| 3487 \| 55.0% \| 4268 \| 7755 row 34 : polk \| 33.7% \| 4553 \| 66.3% \| 8956 \| 13509 row 35 : scotland \| 38.8% \| 793 \| 61.2% \| 1249 \| 2042 row 36 : st. clair \| 38.8% \| 1886 \| 61.2% \| 2981 \| 4867 ] Execute this SQL based on the above table: select mccain% where obama# = 1535	65.8%
[ header: year \| title \| role \| notes row 1 : 1991 \| let him have it \| derek bentley \| None row 2 : 1992 \| death and the compass \| alonso zunz \| None row 3 : 1993 \| anchoress \| priest \| None row 4 : 1994 \| shallow grave \| david \| None row 5 : 1996 \| jude \| jude fawley \| None row 6 : 1998 \| elizabeth \| duke of norfolk \| None row 7 : 1998 \| a price above rubies \| sender horowitz \| None row 8 : 1999 \| heart \| gary ellis \| None row 9 : 1999 \| existenz \| seminar leader \| None row 10 : 1999 \| with or without you \| vincent boyd \| None row 11 : 2000 \| gone in 60 seconds \| raymond calitri \| None row 12 : 2000 \| the tyre \| salesman \| short film row 13 : 2001 \| the others \| charles stewart \| None row 14 : 2001 \| the invisible circus \| wolf \| None row 15 : 2001 \| this little piggy \| cabbie \| short film row 16 : 2002 \| 24 hour party people \| boethius \| None row 17 : 2002 \| i am dina \| leo zhukovsky \| None row 18 : 2002 \| revengers tragedy \| vindici \| None row 19 : 2002 \| 28 days later \| major henry west \| None row 20 : 2007 \| the dark is rising \| the rider \| None row 21 : 2008 \| new orleans, mon amour \| dr. henry \| None row 22 : 2009 \| g.i. joe: the \| james mccullen \| None row 23 : 2009 \| amelia \| fred noonan \| None row 24 : 2009 \| the happiness salesman \| salesman \| short film row 25 : 2012 \| song for marion \| james harris \| None row 26 : 2013 \| thor: the dark world \| malekith \| None ] Execute this SQL based on the above table: select role order by year desc limit 1	malekith
[ header: pump type and source \| typical use \| 35 °c (e.g. heated screed floor) \| 45 °c (e.g. heated screed floor) \| 55 °c (e.g. heated timber floor) \| 65 °c (e.g. radiator or dhw) \| 75 °c (e.g. radiator and dhw) \| 85 °c (e.g. radiator and dhw) row 1 : high-efficiency air source heat pump (ashp \| None \| 2.2 \| 2 \| None \| None \| None \| None row 2 : two-stage ashp, air at \| low source temperature \| 2.4 \| 2.2 \| 1.9 \| None \| None \| None row 3 : high efficiency ashp, air at 0 \| low output temperature \| 3.8 \| 2.8 \| 2.2 \| 2 \| None \| None row 4 : prototype transcritical co 2 (r744) heat \| high output temperature \| 3.3 \| None \| None \| 4.2 \| None \| 3 row 5 : ground source heat pump (gshp), \| None \| 5 \| 3.7 \| 2.9 \| 2.4 \| None \| None row 6 : gshp, ground at 10 \| low output temperature \| 7.2 \| 5 \| 3.7 \| 2.9 \| 2.4 \| None row 7 : theoretical carnot cycle limit, source -20 \| None \| 5.6 \| 4.9 \| 4.4 \| 4 \| 3.7 \| 3.4 row 8 : theoretical carnot cycle limit, source 0 \| None \| 8.8 \| 7.1 \| 6 \| 5.2 \| 4.6 \| 4.2 row 9 : theoretical lorentzen cycle limit (co 2 \| None \| 10.1 \| 8.8 \| 7.9 \| 7.1 \| 6.5 \| 6.1 row 10 : theoretical carnot cycle limit, source 10 ° \| None \| 12.3 \| 9.1 \| 7.3 \| 6.1 \| 5.4 \| 4.8 ] Execute this SQL based on the above table: select pump type and source order by 45 °c (e.g. heated screed floor) desc limit 1	theoretical carnot cycle limit, source 10 °c
[ header: no. \| constituency \| created \| seats \| change row 1 : 1 \| carlow-kilkenny \| 1948 \| 5 \| None row 2 : 2 \| cavan-monaghan \| 1977 \| 5 \| None row 3 : 3 \| clare \| 1921 \| 4 \| None row 4 : 4 \| cork east \| 1981 \| 4 \| None row 5 : 5 \| cork north-central \| 1981 \| 4 \| -1 row 6 : 6 \| cork north-west \| 1981 \| 3 \| None row 7 : 7 \| cork south-central \| 1981 \| 5 \| None row 8 : 8 \| cork south-west \| 1961 \| 3 \| None row 9 : 9 \| donegal north-east \| 1981 \| 3 \| None row 10 : 10 \| donegal south-west \| 1981 \| 3 \| None row 11 : 11 \| dublin central \| 1981 \| 4 \| None row 12 : 12 \| dublin mid-west \| 2002 \| 4 \| -1 row 13 : 13 \| dublin north \| 1981 \| 4 \| None row 14 : 14 \| dublin north-central \| 1948 \| 3 \| 1 row 15 : 15 \| dublin north-east \| 1981 \| 3 \| None row 16 : 16 \| dublin north-west \| 1981 \| 3 \| None row 17 : 17 \| dublin south \| 1981 \| 5 \| None row 18 : 18 \| dublin south-central \| 1948 \| 5 \| None row 19 : 19 \| dublin south-east \| 1948 \| 4 \| None row 20 : 20 \| dublin south-west \| 1981 \| 4 \| None row 21 : 21 \| dublin west \| 1981 \| 3 \| None row 22 : 22 \| dun laoghaire \| 1977 \| 5 \| None row 23 : 23 \| galway east \| 1977 \| 4 \| None row 24 : 24 \| galway west \| 1937 \| 5 \| None row 25 : 25 \| kerry north \| 1969 \| 3 \| None row 26 : 26 \| kerry south \| 1937 \| 3 \| None row 27 : 27 \| kildare north \| 1997 \| 4 \| 1 row 28 : 28 \| kildare south \| 1997 \| 3 \| None row 29 : 29 \| laois-offaly \| 2007 \| 5 \| 5 row 30 : 30 \| limerick east \| 1948 \| 5 \| None row 31 : 31 \| limerick west \| 1948 \| 3 \| None row 32 : 32 \| longford-westmeath \| 2007 \| 4 \| 4 row 33 : 33 \| louth \| 1923 \| 4 \| None row 34 : 34 \| mayo \| 1997 \| 5 \| None row 35 : 35 \| meath east \| 2007 \| 3 \| 3 row 36 : 36 \| meath west \| 2007 \| 3 \| 3 row 37 : 37 \| roscommon-south leit \| 2007 \| 3 \| 3 row 38 : 38 \| sligo-north leit \| 2007 \| 3 \| 3 row 39 : 39 \| tipperary north \| 1948 \| 3 \| None row 40 : 40 \| tipperary south \| 1948 \| 3 \| None row 41 : 41 \| waterford \| 1923 \| 4 \| None row 42 : 42 \| wexford \| 1921 \| 5 \| None row 43 : 43 \| wicklow \| 1923 \| 5 \| None ] Execute this SQL based on the above table: select count ( * ) where constituency = 'galway west'	1
[ header: date \| time \| opponent# \| site \| tv \| result \| attendance row 1 : august 29 \| 7:30 pm \| appalachian state \| groves stadium • winston-sa \| None \| w 19-13 \| 21129 row 2 : september 7 \| 6:30 pm \| #13 northwestern \| groves stadium • winston-sa \| fsn \| w 28-27 \| 21749 row 3 : september 14 \| 7:00 pm \| at georgia tech \| bobby dodd stadium • atlant \| None \| l 10-30 \| 45750 row 4 : september 21 \| 12:00 pm \| #20 virginia \| groves stadium • winston-sa \| jps \| l 7-42 \| 23220 row 5 : september 28 \| 12:00 pm \| at clemson \| memorial stadium • clemson, s \| jps \| l 10-21 \| 63263 row 6 : october 5 \| 6:30 pm \| #15 north carolina \| groves stadium • winston-sa \| None \| l 6-45 \| 25681 row 7 : october 19 \| 2:00 pm \| at maryland \| byrd stadium • college park, m \| None \| l 0-52 \| 30212 row 8 : october 26 \| 1:00 pm \| navy \| groves stadium • winston-sa \| None \| l 18-47 \| 17307 row 9 : november 9 \| 12:00 pm \| vs. #3 florida state \| citrus bowl • orlando, f \| jps \| l 7-44 \| 34974 row 10 : november 16 \| 1:00 pm \| duke \| groves stadium • winston-sa \| None \| w 17-16 \| 17842 row 11 : november 23 \| 1:00 pm \| at nc state \| carter-finley stadium • r \| None \| l 22-37 \| 40500 ] Execute this SQL based on the above table: select opponent# where opponent# = 'appalachian state'	appalachian state
[ header: \| date \| opponents \| h / a \| result \| score \| attendance row 1 : 1 \| 29 august \| doncaster knights \| h \| w \| 30 - 14 \| 2232 row 2 : 2 \| 5 september \| london welsh \| h \| w \| 22 - 3 \| 2047 row 3 : 3 \| 11 september \| moseley \| a \| d \| 26 - 26 \| 751 row 4 : 4 \| 19 september \| birmingham & solihull \| h \| w \| 32 - 15 \| 1672 row 5 : 5 \| 26 september \| bristol \| a \| l \| 7 - 21 \| 4379 row 6 : 6 \| 3 october \| plymouth albion \| h \| w \| 46 - 13 \| 2439 row 7 : 7 \| 9 october \| bedford \| a \| l \| 25 - 32 \| 3243 row 8 : 8 \| 17 october \| rotherham titans \| h \| w \| 40 - 15 \| 1982 row 9 : 9 \| 22 october \| worcester warriors \| a \| w \| 23 - 21 \| 6928 row 10 : 10 \| 31 october \| esher \| h \| w \| 54 - 6 \| 1767 row 11 : 11 \| 7 november \| nottingham \| a \| w \| 36 - 10 \| 1637 row 12 : 12 \| 14 november \| london welsh \| a \| l \| 16 - 23 \| 1250 row 13 : 13 \| 21 november \| moseley \| h \| w \| 50 - 7 \| 1854 row 14 : None \| 28 november \| birmingham & solihull \| a \| None \| p - p \| None row 15 : 14 \| 5 december \| bristol \| h \| w \| 16 - 6 \| 2253 row 16 : 15 \| 15 december \| birmingham & solihull \| a \| w \| 61 - 28 \| 407 row 17 : None \| 26 december \| plymouth albion \| a \| None \| p - p \| None row 18 : 16 \| 2 january \| bedford blues \| h \| w \| 23 - 13 \| 3051 row 19 : 17 \| 8 january \| rotherham titans \| a \| l \| 18 - 19 \| 1067 row 20 : 18 \| 12 january \| plymouth albion \| a \| w \| 10 - 6 \| 2512 row 21 : 19 \| 30 january \| worcester warriors \| h \| l \| 30 - 33 \| 1976 row 22 : 20 \| 5 february \| esher \| a \| l \| 12 - 13 \| 1338 row 23 : 21 \| 13 february \| nottingham \| h \| w \| 40 - 0 \| 2486 row 24 : 22 \| 19 february \| doncaster knights \| a \| w \| 16 - 13 \| 1091 ] Execute this SQL based on the above table: select h / a where opponents = 'bedford blues' and h / a != 'a'	h
[ header: season \| level \| division \| section \| position \| movements row 1 : 1985 \| tier 4 \| division 3 \| norra norrland \| 5th \| None row 2 : 1986 \| tier 4 \| division 3 \| norra norrland \| 4th \| promoted row 3 : 1987 \| tier 3 \| division 2 \| norra \| 5th \| None row 4 : 1988 \| tier 3 \| division 2 \| norra \| 1st \| promoted row 5 : 1989 \| tier 2 \| division 1 \| norra \| 3rd \| None row 6 : 1990 \| tier 2 \| division 1 \| norra \| 6th \| None row 7 : 1991 \| tier 2 \| division 1 \| norra \| 1st \| spring row 8 : None \| tier 2 \| division 1 \| kvalsvenskan \| 8th \| autumn row 9 : 1992 \| tier 2 \| division 1 \| norra \| 7th \| spring row 10 : None \| tier 2 \| division 1 \| norra \| 8th \| autumn - relegated row 11 : 1993 \| tier 3 \| division 2 \| norrland \| 1st \| promoted row 12 : 1994 \| tier 2 \| division 1 \| norra \| 13th \| relegated row 13 : 1995 \| tier 3 \| division 2 \| norrland \| 9th \| None row 14 : 1996 \| tier 3 \| division 2 \| norrland \| 8th \| None row 15 : 1997 \| tier 3 \| division 2 \| norrland \| 6th \| None row 16 : 1998 \| tier 3 \| division 2 \| norrland \| 7th \| None row 17 : 1999 \| tier 3 \| division 2 \| norrland \| 3rd \| None row 18 : 2000 \| tier 3 \| division 2 \| norrland \| 8th \| None row 19 : 2001 \| tier 3 \| division 2 \| norrland \| 10th \| relegation playoffs row 20 : 2002 \| tier 3 \| division 2 \| norrland \| 10th \| relegation playoffs row 21 : 2003 \| tier 3 \| division 2 \| norrland \| 10th \| relegation playoffs row 22 : 2004 \| tier 3 \| division 2 \| norrland \| 7th \| None row 23 : 2005 \| tier 3 \| division 2 \| norrland \| 4th \| promoted row 24 : 2006 \| tier 3 \| division 1 \| norra \| 14th \| relegated row 25 : 2007 \| tier 4 \| division 2 \| norrland \| 10th \| relegation playoffs row 26 : 2008 \| tier 4 \| division 2 \| norrland \| 12th \| relegated row 27 : 2009 \| tier 5 \| division 3 \| norra norrland \| 8th \| None row 28 : 2010 \| tier 5 \| division 3 \| norra norrland \| 3rd \| None row 29 : 2011 \| tier 5 \| division 3 \| norra norrland \| 2nd \| promotion playoffs row 30 : 2012 \| tier 5 \| division 3 \| norra norrland \| 3rd \| None ] Execute this SQL based on the above table: select level where season = 2006 and division = 'division 1'	3
[ header: official name \| designation \| area km2 \| population \| parish row 1 : moncton \| city \| 141.17 \| 69074 \| moncton row 2 : dieppe \| city \| 51.17 \| 23310 \| moncton row 3 : beaubassin east \| rural community \| 291.04 \| 6200 \| shediac row 4 : shediac \| town \| 11.97 \| 6053 \| shediac row 5 : sackville \| town \| 74.32 \| 5558 \| sackville row 6 : memramcook \| village \| 185.71 \| 4831 \| dorchester row 7 : cap-pele \| village \| 23.78 \| 2256 \| botsford row 8 : salisbury \| village \| 13.68 \| 2208 \| salisbury row 9 : petitcodiac \| village \| 17.22 \| 1429 \| salisbury row 10 : dorchester \| village \| 5.74 \| 1167 \| dorchester row 11 : port elgin \| village \| 2.61 \| 418 \| westmorland ] Execute this SQL based on the above table: select official name order by population desc limit 1	moncton
[ header: ime exchange (including spot, credit and forward transactions) \| 2007/08 \| 2008/09 \| 2009/10 \| 2010/11 \| 2011/12 row 1 : agricultural - volume (thousand tons) \| 273 \| 173.5 \| 175.2 \| 1633.9 \| 550 row 2 : agricultural - value (billion rials \| 772.6 \| 3729.7 \| 484.8 \| 3729 \| 3793 row 3 : manufacturing and metal - volume (thousand \| 6443.8 \| 6679.7 \| 7438.5 \| 8694 \| 11685 row 4 : manufacturing and metal - value (billion \| 58044.2 \| 62120.6 \| 53842 \| 75235.5 \| 102356 row 5 : oil and petrochemical - volume ( \| 89.7 \| 4339.2 \| 7052.9 \| 6662.6 \| 8117 row 6 : oil and petrochemical - value ( \| 352.7 \| 19921 \| 36450.7 \| 41478 \| 64370 row 7 : grand total - volume (thousand tons \| 6806.5 \| 11192.4 \| 14666.6 \| 16990.5 \| 20351 row 8 : grand total - value (billion rial \| 59169.4 \| 82685.3 \| 90777.5 \| 120443.2 \| 170519 ] Execute this SQL based on the above table: select ime exchange (including spot, credit and forward transactions) where id = 1	agricultural - volume (thousand tons)
[ header: event \| date \| area \| tornadoes \| casualties \| notes row 1 : hurricane carla \| september 1961 \| southern u.s \| 8 \| None \| produced several strong tornadoes, including an row 2 : 1964 wichita falls tornado \| april 3, 1964 \| wichita falls, texa \| None \| 7 dead, 100+ injured \| was rated f5. first tornado ever captured row 3 : february 1965 south florida tornado outbreak \| february 23, 1965 \| southern florida \| 4 \| 0 fatalities, 8 injuries \| produced an unusually strong tornado in south florid row 4 : early-may 1965 tornado outbreak sequence \| may 6-8, 1965 \| minnesota, front range, great \| 50 \| 17 fatalities \| included the 1965 twin cities tornado outbreak, in which row 5 : late-may 1965 tornado outbreak \| may 25-26, 1965 \| great plains \| 51 \| 0 fatalities \| produced multiple strong tornadoes in the great plain row 6 : june 1966 tornado outbreak sequence \| june 8-9, 1966 \| kansas - illin \| 57 \| 18 fatalities \| outbreak sequence produced a series of tornadoes row 7 : 1967 st. louis tornado outbreak \| january 24, 1967 \| midwest \| 32 \| 6 fatalities \| one of the most intense january outbreak row 8 : 1967 oak lawn tornado outbreak \| april 21, 1967 \| midwest \| 45 \| 58 fatalities \| one of the most intense outbreaks to hit the row 9 : 1967 southern minnesota tornado outbreak \| april 30, 1967 \| minnesota \| 9 \| 13 fatalities \| only one tornado below f2 strength in min row 10 : 1968 wheelersburg, ohio \| april 23, 1968 \| ohio valley \| 13 \| 14 fatalities \| outbreak produced several violent and killer tornadoes across ] Execute this SQL based on the above table: select casualties order by id desc limit 1	14 fatalities
[ header: availability / production \| \| 2000 \| 2001 \| 2002 \| 2003 \| 2004 \| 2005 \| 2006 \| 2007 \| 2008 \| 2009 \| 2010 \| 2011 \| 2012 row 1 : availability \| hydro power \| 1150 \| 1161 \| 1171 \| 1247 \| 1281 \| 1293 \| 1316 \| 1326 \| 1357 \| 1379 \| 1382 \| 1401 \| 1584 row 2 : availability \| thermal \| 685 \| 835 \| 1056 \| 1233 \| 1215 \| 1155 \| 1155 \| 1155 \| 1285 \| 1290 \| 1390 \| 1690 \| 1638 row 3 : availability \| other renewables \| 3 \| 3 \| 3 \| 3 \| 3 \| 3 \| 3 \| 3 \| 3 \| 15 \| 45 \| 50 \| 90 row 4 : availability \| total availability \| 1838 \| 1999 \| 2230 \| 2483 \| 2499 \| 2411 \| 2434 \| 2444 \| 2645 \| 2684 \| 2818 \| 3141 \| 3312 row 5 : production \| hydro power \| 3197 \| 3110 \| 2962 \| 3310 \| 2960 \| 3451 \| 4634 \| 3947 \| 4130 \| 3881 \| 5634 \| 4622 \| 3292 row 6 : production \| thermal \| 3485 \| 3407 \| 3201 \| 4298 \| 5080 \| 5314 \| 4751 \| 5864 \| 5763 \| 5975 \| 4995 \| 6785 \| 8339 row 7 : production \| other renewables \| 3 \| 3 \| 4 \| 3 \| 3 \| 5 \| 4 \| 4 \| 8 \| 27 \| 86 \| 121 \| 169 row 8 : production \| total production \| 6685 \| 6520 \| 6167 \| 7611 \| 8043 \| 8770 \| 9389 \| 9815 \| 9901 \| 9883 \| 10715 \| 11528 \| 11800 ] Execute this SQL based on the above table: select availability / production group by availability / production order by count ( availability / production ) desc limit 1	production
[ header: genre \| year \| title \| episode \| role \| notes row 1 : short film \| 1992 \| the bet \| None \| henry \| 21 minutes row 2 : short film \| 1996 \| sin #8 \| None \| None \| None row 3 : tv series \| 1997 \| nothing sacred \| "speaking in tongues" \| dr. elliott \| None row 4 : film \| 1998 \| finding north \| None \| travis furlong \| None row 5 : tv series \| 1998 \| sex and the city \| "oh come all ye faithful" \| tom \| None row 6 : tv series \| 1999 \| homicide: life on the street \| "zen and the art of murder" \| dennis kohler \| None row 7 : film \| 1999 \| the general's daughter \| None \| captain goodson \| None row 8 : tv series \| 2000 \| law & order: special victims unit \| "misleader" "nocturne" \| assistant district attorney \| None row 9 : film \| 2001 \| the anniversary party \| None \| jerry adams \| None row 10 : tv series \| 2001 \| the guardian \| "loyalties" \| the hudson's attorney \| None row 11 : tv film \| 2001 \| life with judy garland: me and \| None \| roger edens \| None row 12 : tv series \| 2002 \| hack \| "obsession" \| dr. martin shan \| None row 13 : tv series \| 2005 \| law & order \| "mammon" \| aaron solomon \| 5 episodes total row 14 : tv series \| 2006 \| brothers & sisters \| "light the lights" \| major guinness \| None row 15 : tv series \| 2006 \| justice \| "wrongful death" \| lloyd barrett \| None row 16 : tv series \| 2006 \| law & order \| "profiteer" \| aaron solomon \| 5 episodes total row 17 : tv series \| 2007 \| critical situation \| "nightmare on mt. \| narrator \| voice actor; also known as situation critical row 18 : tv series \| 2007 \| undercover history \| "the hunt for hitler" "the hunt \| narrator \| voice actor; 6 episodes total row 19 : tv series \| 2008 \| undercover history \| "unabomber: the secret history" \| narrator/himself \| voice actor; 6 episodes total row 20 : film \| 2009 \| the taking of pelham 123 \| None \| deputy mayor lasalle \| None row 21 : tv series \| 2009 \| timewatch \| "the real bonnie and clyde \| narrator \| voice actor row 22 : tv series \| 2010 \| the big c \| "pilot" "summer time" "there \| sean tolkey \| 36 episodes total row 23 : tv series \| 2011 \| a gifted man \| "in case of exposure" \| ben tucker \| None row 24 : tv series \| 2011 \| the good wife \| "great firewall" \| neil gross \| 3 episodes total row 25 : tv series \| 2012 \| the big c \| "thin ice" "what's \| sean tolkey \| 36 episodes total ] Execute this SQL based on the above table: select count ( title ) where role = 'tom'	1
[ header: team \| location \| stadium \| capacity \| manager \| captain \| kit manufacturer \| shirt sponsor row 1 : auckland city fc \| auckland \| kiwitea street \| 3500 \| ramon tribulietx \| ivan vicelich \| nike \| trillian trust inc row 2 : canterbury united \| christchurch \| asb football park \| 9000 \| keith braithwaite \| dan terris \| samurai \| robbie's bar and bistro row 3 : hawke's bay united \| napier \| bluewater stadium \| 5000 \| chris greatholder \| bill robertson \| samurai \| kinetic electrical row 4 : otago united \| dunedin \| forsyth barr stadium \| 30500 \| richard murray \| tristan prattley \| canterbury \| gran's remedy row 5 : team wellington \| wellington \| david farrington park \| 3000 \| matt calcott \| karl whalen \| adidas \| exodus health & fitness club row 6 : waikato fc \| hamilton \| porritt stadium \| 2700 \| mark cossey \| adam thomas \| nike \| the soccer shop row 7 : waitakere united \| waitakere city \| fred taylor park \| 2500 \| paul marshall \| jake butler \| lotto sport italia \| cuesports foundation row 8 : youngheart manawatu \| palmerston north \| memorial park \| 8000 \| stu jacobs \| nathan cooksley \| nike \| new zealand pharmaceuticals ] Execute this SQL based on the above table: select count ( location ) where captain = 'jake butler'	1
[ header: date \| round \| opponent \| venue \| result \| attendance \| scorers row 1 : 16 september 1992 \| r1 \| lyngby \| h \| 2-0 \| 40036 \| hateley, huistra row 2 : 30 september 1992 \| r1 \| lyngby \| a \| 1-0 \| 4273 \| durrant row 3 : 21 october 1992 \| r2 \| leeds united \| h \| 2-1 \| 43251 \| mccoist, lukic row 4 : 4 november 1992 \| r2 \| leeds united \| a \| 2-1 \| 25118 \| hateley, mccoist row 5 : 25 november 1992 \| gs \| marseille \| h \| 2-2 \| 41624 \| mcswegan, hateley row 6 : 9 december 1992 \| gs \| cska moscow \| a \| 1-0 \| 9000 \| ferguson row 7 : 3 march 1993 \| gs \| club brugge \| a \| 1-1 \| 19000 \| huistra row 8 : 17 march 1993 \| gs \| club brugge \| h \| 2-1 \| 42731 \| durrant, nisbet row 9 : 7 april 1993 \| gs \| marseille \| a \| 1-1 \| 46000 \| durrant row 10 : 21 april 1993 \| gs \| cska moscow \| h \| 0-0 \| 43142 \| None ] Execute this SQL based on the above table: select scorers where scorers in ( 'hateley, huistra' , '9 december 1992' ) group by scorers order by count ( result ) desc limit 1	hateley, huistra
[ header: date \| venue \| opponents \| score \| competition \| scotland scorer(s) row 1 : 21 october 1950 \| ninian park, cardiff (a \| wales \| 3-1 \| bhc \| lawrie reilly (2), billy row 2 : 1 november 1950 \| hampden park, glasgow \| northern ireland \| 6-1 \| bhc \| billy steel (4), john m row 3 : 13 december 1950 \| hampden park, glasgow \| austria \| 0-1 \| friendly \| None row 4 : 14 april 1951 \| wembley stadium, london \| england \| 3-2 \| bhc \| bobby johnstone, lawrie row 5 : 12 may 1951 \| hampden park, glasgow \| denmark \| 3-1 \| friendly \| billy steel, lawrie reilly row 6 : 16 may 1951 \| hampden park, glasgow \| france \| 1-0 \| friendly \| lawrie reilly row 7 : 20 may 1951 \| heysel stadium, brussel \| belgium \| 5-0 \| friendly \| george hamilton (3), row 8 : 27 may 1951 \| prater stadium, vienna ( \| austria \| 0-4 \| friendly \| None ] Execute this SQL based on the above table: select score where score != '0-4'	3-1, 6-1, 0-1, 3-2, 3-1, 1-0, 5-0
[ header: week \| date \| kickoff \| opponent \| results final score \| results team record \| game site \| attendance row 1 : 1 \| saturday, april 13 \| 7:00 p.m \| at rhein fire \| w 27-21 \| 1-0 \| rheinstadion \| 32092 row 2 : 2 \| saturday, april 20 \| 7:00 p.m \| london monarchs \| w 37-3 \| 2-0 \| waldstadion \| 34186 row 3 : 3 \| sunday, april 28 \| 6:00 p.m \| at barcelona dragons \| w 33-29 \| 3-0 \| estadi olimpic de mont \| 17503 row 4 : 4 \| sunday, may 5 \| 7:00 p.m \| amsterdam admirals \| w 40-28 \| 4-0 \| waldstadion \| 28627 row 5 : 5 \| saturday, may 11 \| 7:00 p.m \| scottish claymores \| l 0-20 \| 4-1 \| waldstadion \| 32126 row 6 : 6 \| sunday, may 19 \| 3:00 p.m \| at london monarchs \| l 7-27 \| 4-2 \| white hart lane \| 10764 row 7 : 7 \| sunday, may 26 \| 3:00 p.m \| at scottish claymores \| l 17-20 \| 4-3 \| murrayfield stadium \| 13116 row 8 : 8 \| saturday, june 1 \| 7:00 p.m \| rhein fire \| l 8-31 \| 4-4 \| waldstadion \| 38798 row 9 : 9 \| saturday, june 8 \| 7:00 p.m \| barcelona dragons \| w 24-21 \| 5-4 \| waldstadion \| 33115 row 10 : 10 \| saturday, june 15 \| 6:30 p.m \| at amsterdam admirals \| w 28-20 \| 6-4 \| olympisch stadion \| 14062 row 11 : 11 \| sunday, june 23 \| 6:00 p.m \| at scottish claymores \| l 27-32 \| 6-5 \| murrayfield stadium \| 38982 ] Execute this SQL based on the above table: select attendance where results final score = 'w 33-29'	17503

inputs stringlengths 291 3.71k	targets stringlengths 1 2.65k
[ header: race \| race name \| pole position \| fastest lap \| winning driver \| winning team \| yokohama winner \| jay-ten winner \| report row 1 : 1 \| race of brazil \| robert huff \| robert huff \| robert huff \| chevrolet \| kristian poulsen \| michel nykjær \| report row 2 : 3 \| race of belgium \| robert huff \| robert huff \| robert huff \| chevrolet \| kristian poulsen \| michel nykjær \| report row 3 : 5 \| race of italy \| robert huff \| yvan muller \| robert huff \| chevrolet \| norbert michelisz \| fredy barth \| report row 4 : 7 \| race of hungary \| alain menu \| norbert michelisz \| alain menu \| chevrolet \| norbert michelisz \| aleksei dudukalo \| report row 5 : 8 \| race of hungary \| None \| norbert michelisz \| yvan muller \| chevrolet \| franz engstler \| aleksei dudukalo \| report row 6 : 9 \| race of the czech republic \| yvan muller \| robert huff \| robert huff \| chevrolet \| kristian poulsen \| aleksei dudukalo \| report row 7 : 10 \| race of the czech republic \| None \| yvan muller \| yvan muller \| chevrolet \| michel nykjær \| aleksei dudukalo \| report row 8 : 11 \| race of portugal \| alain menu \| alain menu \| alain menu \| chevrolet \| norbert michelisz \| no finishers \| report row 9 : 17 \| race of spain \| yvan muller \| yvan muller \| yvan muller \| chevrolet \| kristian poulsen \| fabio fabiani \| report row 10 : 18 \| race of spain \| None \| yvan muller \| yvan muller \| chevrolet \| kristian poulsen \| fabio fabiani \| report row 11 : 20 \| race of japan \| None \| robert dahlgren \| tom coronel \| roal motorsport \| michel nykjær \| charles ng \| report row 12 : 21 \| race of china \| alain menu \| robert huff \| alain menu \| chevrolet \| colin turkington \| fabio fabiani \| report row 13 : 22 \| race of china \| None \| yvan muller \| yvan muller \| chevrolet \| colin turkington \| fabio fabiani \| report row 14 : 23 \| guia race of macau \| robert huff \| yvan muller \| robert huff \| chevrolet \| michel nykjær \| jo merszei \| report ] Execute this SQL based on the above table: select yokohama winner where yokohama winner in ( 'kristian poulsen' , 'colin turkington' ) order by race - race desc limit 1	kristian poulsen
[ header: name \| town \| deanery \| vicariate \| founded \| original ethnic community row 1 : st. ann \| hamden \| hamden-north haven \| new haven \| 1919 \| italian row 2 : st. anthony \| prospect \| naugatuck-cheshire \| waterbury \| 1943 \| none row 3 : ascension \| hamden \| hamden-north haven \| new haven \| 1964 \| none row 4 : st. bridget \| manchester \| manchester \| hartford \| 1870 \| none row 5 : st. catherine of sien \| west simsbury (simsbury \| farmington valley \| hartford \| 1971 \| none row 6 : st. christopher \| east hartford \| manchester \| hartford \| 1965 \| none row 7 : church of the epiphany \| cheshire \| naugatuck-cheshire \| waterbury \| 1967 \| none row 8 : st. francis xa \| new milford \| suburban waterbury \| waterbury \| 1871 \| none row 9 : st. gabriel \| windsor \| farmington valley \| hartford \| 1894 \| none row 10 : st. gertrude \| windsor \| farmington valley \| hartford \| 1947 \| none row 11 : st. hedwig \| union city (naugatuck) \| naugatuck-cheshire \| waterbury \| 1906 \| polish row 12 : holy infant \| orange \| west shore line \| new haven \| 1952 \| none row 13 : immaculate conception \| new hartford \| litchfield \| waterbury \| 1869 \| none row 14 : immaculate conception \| norfolk \| litchfield \| waterbury \| 1889 \| none row 15 : st. john the evangelis \| new britain \| new britain \| hartford \| 1916 \| none row 16 : st. joseph \| canaan \| litchfield \| waterbury \| 1920 \| none row 17 : st. joseph \| winsted (winchester) \| litchfield \| waterbury \| 1853 \| none row 18 : st. lawrence \| west haven \| west shore line \| new haven \| 1886 \| none row 19 : st. margaret mary \| south windsor \| manchester \| hartford \| 1961 \| none row 20 : st. mary \| newington \| suburban hartford \| hartford \| 1924 \| none row 21 : st. mary \| union city (naugatuck) \| naugatuck-cheshire \| waterbury \| 1907 \| none row 22 : st. mary \| unionville (farmington) \| farmington valley \| hartford \| 1874 \| none row 23 : st. mary \| windsor locks \| enfield \| hartford \| 1852 \| none row 24 : st. michael \| waterbury \| waterbury \| waterbury \| 1897 \| none row 25 : our lady of loreto \| waterbury \| waterbury \| waterbury \| 1971 \| portuguese row 26 : our lady of mt. carmel \| waterbury \| waterbury \| waterbury \| 1923 \| italian row 27 : our lady of the lakes \| new milford \| suburban waterbury \| waterbury \| 1990 \| none row 28 : st. patrick \| collinsville (canton) \| farmington valley \| hartford \| 1856 \| none row 29 : st. peter \| torrington \| litchfield \| waterbury \| 1910 \| italian row 30 : st. peter claver \| west hartford \| suburban hartford \| hartford \| 1966 \| none row 31 : sacred heart \| new haven \| new haven \| new haven \| 1876 \| none row 32 : st. stanislaus \| bristol \| bristol \| waterbury \| 1919 \| polish ] Execute this SQL based on the above table: select abs ( ( select founded where town = 'new milford' ) - ( select founded where town = 'unionville (farmington)' ) )	3
[ header: year \| best \| location \| date \| world rank row 1 : 2012 \| 27:02.59 \| birmingham \| 22 june \| 3rd row 2 : 2011 \| 26:43.16 \| brussels \| 16 september \| 1st row 3 : 2009 \| 26:46.31 \| berlin \| 17 august \| 1st row 4 : 2008 \| 26:25.97 \| eugene, oregon \| 8 june \| 1st row 5 : 2007 \| 26:46.19 \| brussels \| 14 september \| 1st row 6 : 2005 \| 26:17.53 \| brussels \| 26 august \| 1st row 7 : 2004 \| 26:20.31 \| ostrava \| 8 june \| 1st row 8 : 2003 \| 26:49.57 \| paris \| 25 august \| 4th ] Execute this SQL based on the above table: select date where year = 2004 order by best limit 1	8 june
[ header: new municipality \| old municipalities \| seat row 1 : gortynia \| dimitsana \| dimitsana row 2 : gortynia \| vytina \| dimitsana row 3 : gortynia \| iraia \| dimitsana row 4 : gortynia \| kleitor \| dimitsana row 5 : gortynia \| kontovazaina \| dimitsana row 6 : gortynia \| langadia \| dimitsana row 7 : gortynia \| trikolonoi \| dimitsana row 8 : gortynia \| tropaia \| dimitsana row 9 : megalopoli \| gortyna \| megalopoli row 10 : megalopoli \| falaisia \| megalopoli row 11 : north kynouria (vore \| north kynouria \| astros row 12 : south kynouria (noti \| leonidio \| leonidio row 13 : south kynouria (noti \| kosmas \| leonidio row 14 : south kynouria (noti \| tyros \| leonidio row 15 : tripoli \| valtetsi \| tripoli row 16 : tripoli \| korythio \| tripoli row 17 : tripoli \| levidi \| tripoli row 18 : tripoli \| mantineia \| tripoli row 19 : tripoli \| skyritida \| tripoli row 20 : tripoli \| tegea \| tripoli row 21 : tripoli \| falanthos \| tripoli ] Execute this SQL based on the above table: select new municipality order by seat limit 1	north kynouria (voreia kynouria)
[ header: county \| feinstein \| votes \| seymour \| votes \| horne \| votes \| meeu. \| votes \| boddie \| votes \| w/i \| v's row 1 : san mateo \| 67.25% \| 181,990 \| 27.89% \| 75,470 \| 1.84% \| 4,983 \| 1.29% \| 3,478 \| 1.73% \| 4,684 \| 0.00% \| 0 row 2 : contra costa \| 62.96% \| 229,988 \| 31.62% \| 115,507 \| 1.92% \| 7,011 \| 1.77% \| 6,470 \| 1.73% \| 6,320 \| 0.00% \| 2 row 3 : sonoma \| 62.84% \| 121,471 \| 29.38% \| 56,793 \| 3.02% \| 5,846 \| 2.43% \| 4,702 \| 2.33% \| 4,502 \| 0.00% \| 0 row 4 : santa clara \| 62.19% \| 364,997 \| 30.98% \| 181,858 \| 2.15% \| 12,646 \| 2.20% \| 12,912 \| 2.47% \| 14,518 \| 0.00% \| 2 row 5 : monterey \| 58.89% \| 66,417 \| 34.74% \| 39,182 \| 2.10% \| 2,369 \| 2.30% \| 2,590 \| 1.96% \| 2,216 \| 0.00% \| 0 row 6 : los angeles \| 58.72% \| 1,552,223 \| 34.03% \| 899,656 \| 3.18% \| 84,093 \| 2.09% \| 55,380 \| 1.97% \| 52,123 \| 0.00% \| 20 row 7 : napa \| 57.01% \| 29,875 \| 35.38% \| 18,539 \| 2.46% \| 1,288 \| 2.93% \| 1,537 \| 2.22% \| 1,161 \| 0.00% \| 0 row 8 : del norte \| 50.92% \| 4,696 \| 39.66% \| 3,658 \| 2.56% \| 236 \| 4.98% \| 459 \| 1.89% \| 174 \| 0.00% \| 0 row 9 : merced \| 47.61% \| 22,010 \| 43.79% \| 20,246 \| 2.79% \| 1,289 \| 2.95% \| 1,365 \| 2.86% \| 1,323 \| 0.00% \| 0 row 10 : nevada \| 46.04% \| 20,044 \| 44.73% \| 19,476 \| 2.90% \| 1,261 \| 3.32% \| 1,444 \| 3.02% \| 1,313 \| 0.00% \| 0 row 11 : placer \| 45.75% \| 40,511 \| 45.73% \| 40,497 \| 2.38% \| 2,109 \| 3.30% \| 2,920 \| 2.84% \| 2,518 \| 0.00% \| 0 row 12 : mariposa \| 45.38% \| 3,681 \| 43.98% \| 3,568 \| 3.09% \| 251 \| 5.07% \| 411 \| 2.48% \| 201 \| 0.00% \| 0 row 13 : sierra \| 45.12% \| 818 \| 44.57% \| 808 \| 2.48% \| 45 \| 3.47% \| 63 \| 4.36% \| 79 \| 0.00% \| 0 row 14 : mono \| 45.11% \| 1,931 \| 44.64% \| 1,911 \| 2.83% \| 121 \| 3.95% \| 169 \| 3.48% \| 149 \| 0.00% \| 0 row 15 : butte \| 44.72% \| 37,396 \| 45.57% \| 38,111 \| 2.96% \| 2,477 \| 3.56% \| 2,980 \| 3.19% \| 2,666 \| 0.00% \| 0 row 16 : trinity \| 42.41% \| 2,743 \| 43.66% \| 2,824 \| 3.80% \| 246 \| 6.29% \| 407 \| 3.83% \| 248 \| 0.00% \| 0 row 17 : yuba \| 40.76% \| 6,890 \| 46.63% \| 7,882 \| 3.07% \| 518 \| 6.09% \| 1,030 \| 3.45% \| 584 \| 0.00% \| 0 ] Execute this SQL based on the above table: select count ( county ) where horne is null	0
[ header: code \| year row 1 : a \| 1927 row 2 : b \| 1928 row 3 : c \| 1929 row 4 : ch \| 1930 row 5 : d \| 1931 row 6 : e \| 1932 row 7 : f \| 1933 row 8 : g \| 1934 row 9 : h \| 1935 row 10 : i \| 1936 row 11 : j \| 1937 row 12 : k \| 1938 row 13 : l \| 1939 row 14 : ll \| 1940 row 15 : m \| 1941 row 16 : n \| 1942 row 17 : n \| 1943 row 18 : o \| 1944 row 19 : p \| 1945 row 20 : q \| 1946 row 21 : r \| 1947 row 22 : s \| 1948 row 23 : t \| 1949 row 24 : u \| 1950 row 25 : v \| 1951 row 26 : x \| 1952 row 27 : y \| 1953 row 28 : z \| 1954 row 29 : a1 \| 1955 row 30 : b1 \| 1956 row 31 : c1 \| 1957 row 32 : ch1 \| None row 33 : d1 \| 1958 row 34 : e1 \| 1959 row 35 : f1 \| 1960 row 36 : g1 \| 1961 row 37 : h1 \| 1962 row 38 : i1 \| 1963 row 39 : j1 \| 1964 row 40 : k1 \| 1965 row 41 : l1 \| 1966 row 42 : ll1 \| None row 43 : m1 \| 1967 row 44 : n1 \| 1968 row 45 : n1 \| 1969 row 46 : o1 \| 1970 row 47 : p1 \| 1971 row 48 : q1 \| 1972 row 49 : r1 \| 1973 row 50 : s1 \| 1974 row 51 : t1 \| 1975 row 52 : u1 \| 1976 row 53 : v1 \| 1977 row 54 : x1 \| 1978 row 55 : y1 \| 1979 row 56 : z1 \| 1980 row 57 : a2 \| 1981 row 58 : b2 \| 1982 row 59 : c2 \| 1983 row 60 : ch2 \| None row 61 : d2 \| 1984 row 62 : e2 \| 1985 row 63 : f2 \| 1986 row 64 : g2 \| 1987 row 65 : h2 \| 1988 row 66 : i2 \| 1989 row 67 : j2 \| 1990 row 68 : k2 \| 1991 row 69 : l2 \| 1992 row 70 : ll2 \| None row 71 : m2 \| 1993 row 72 : n2 \| 1994 row 73 : n2 \| 1995 row 74 : o2 \| 1996 row 75 : p2 \| 1997 row 76 : q2 \| 1998 row 77 : r2 \| 1999 row 78 : s2 \| 2000 row 79 : t2 \| 2001 row 80 : u2 \| 2002 row 81 : v2 \| 2003 row 82 : x2 \| 2004 row 83 : y2 \| 2005 row 84 : z2 \| 2006 ] Execute this SQL based on the above table: select count ( code ) where year = 1994	1
[ header: outcome \| no. \| date \| tournament \| surface \| opponent \| score row 1 : runner-up \| 1 \| 23 august 2004 \| la paz, bolivia \| clay \| jenifer widjaja \| 6-3, 4-6, 0-6 row 2 : runner-up \| 2 \| 6 june 2005 \| santa tecla, e \| clay \| andrea benitez \| 3-6, 0-6 row 3 : runner-up \| 2 \| 22 august 2005 \| bogota, colombia \| clay \| carla tiene \| 4-6, 0-6 row 4 : runner-up \| 4 \| 15 may 2006 \| ciudad obregon, mexico \| hard \| ellah nze \| 6-4, 3-6, 3-6 row 5 : winner \| 1 \| 5 june 2006 \| xalapa, mexico \| hard \| maria irigoyen \| 6-1, 3-6, 6-4 row 6 : winner \| 2 \| 7 september 2009 \| mazatlan, mexico \| hard \| fernanda hermenegildo \| 6-1, 6-2 row 7 : winner \| 3 \| 2 november 2009 \| bogota, colombia \| clay \| yuliana lizarazo \| 7-6(7-5), 6-4 row 8 : runner-up \| 5 \| 16 november 2009 \| asuncion, paraguay \| clay \| paula ormaechea \| 6-4, 4-6, 2-6 row 9 : winner \| 4 \| 8 november 2010 \| bogota, colombia \| clay \| patricia ku flores \| 6-1, 7-5 row 10 : winner \| 5 \| 29 november 2010 \| santiago, chile \| clay \| veronica cepede royg \| 6-2, 6-2 row 11 : winner \| 6 \| 18 july 2011 \| ribeirao preto, brazil \| clay \| vivian segnini \| 6-2, 6-2 row 12 : runner-up \| 6 \| 8 august 2011 \| santa cruz de la sierra \| clay \| maria irigoyen \| 2-6, 3-6 row 13 : winner \| 7 \| 15 august 2011 \| la paz, bolivia \| clay \| maria irigoyen \| 6-0, 7-6(7-1) row 14 : runner-up \| 7 \| 3 october 2011 \| yerevan, armenia \| clay \| julia cohen \| 6-7(6-8), 2-6 row 15 : runner-up \| 8 \| 19 march 2012 \| bangalore, india \| hard \| donna vekic \| 2-6, 4-6 row 16 : runner-up \| 9 \| 8 may 2012 \| brasilia, brazil \| clay \| gabriela paz \| 3-6, 3-6 row 17 : winner \| 8 \| 19 november 2012 \| barranquilla, colombia \| clay \| karolina nowak \| 7-6(7-4), 6-0 row 18 : winner \| 9 \| 21 october 2013 \| bogota, colombia \| hard \| anna katalina alzate \| 6-3, 6-3 row 19 : winner \| 10 \| 11 november 2013 \| lima, peru \| clay \| patricia ku flores \| 7-5, 6-7(4-7), row 20 : winner \| 11 \| 25 november 2013 \| bogota, colombia \| clay \| naomi totka \| 6-1, 6-1 row 21 : runner-up \| 10 \| 2 december 2013 \| barranquilla, colombia \| clay \| maria fernanda herazo \| 4-6, 2-6 ] Execute this SQL based on the above table: select no. where date = '15 august 2011'	7
[ header: year \| single \| peak chart positions fin \| peak chart positions nor \| peak chart positions swe \| album row 1 : 1994 \| "together" \| None \| None \| None \| finally row 2 : 1994 \| "in your dreams" \| None \| None \| None \| finally row 3 : 1995 \| "mirror, mirror" \| None \| 6 \| None \| finally row 4 : 1995 \| "stars in the night" \| None \| None \| None \| finally row 5 : 1996 \| "you never know" \| 12 \| 4 \| None \| finally row 6 : 1996 \| "let it all be sunshine" \| 13 \| None \| None \| finally row 7 : 1997 \| "all my life" \| None \| None \| None \| finally row 8 : 1997 \| "fly to be free" \| None \| None \| None \| finally row 9 : 1998 \| "come'n get me" \| 6 \| None \| None \| the take off row 10 : 1998 \| "sunny holiday" \| None \| None \| None \| the take off row 11 : 1999 \| "ticket to fly" \| None \| None \| 48 \| the take off row 12 : 1999 \| "once you pop (you can't stop \| None \| None \| None \| express row 13 : 1999 \| "this is how we do it" \| None \| None \| None \| express row 14 : 2000 \| "push it" \| None \| None \| 53 \| express row 15 : 2000 \| "sha la long" \| None \| None \| None \| express row 16 : 2000 \| "come on everybody" \| None \| None \| None \| express row 17 : 2001 \| "i like it" \| None \| None \| None \| in action ] Execute this SQL based on the above table: select avg ( peak chart positions fin )	10.333333333333334
[ header: year \| fbs opponent \| result \| opponent's conference \| opponent's head coach \| charleston southern's head coach row 1 : 2015 \| alabama crimson tide \| None \| sec \| nick saban \| jamey chadwell row 2 : 2014 \| georgia bulldogs \| None \| sec \| mark richt \| jamey chadwell row 3 : 2014 \| vanderbilt commodores \| None \| sec \| derek mason \| jamey chadwell row 4 : 2013 \| colorado buffaloes \| l, 43-10 \| pac-12 \| mike macintyre \| jamey chadwell row 5 : 2012 \| illinois fighting illini \| l, 44-0 \| big ten \| tim beckman \| jay mills row 6 : 2011 \| ucf knights \| l, 62-0 \| c-usa \| george o'leary \| jay mills row 7 : 2011 \| florida state seminoles \| l, 62-10 \| acc \| jimbo fisher \| jay mills row 8 : 2010 \| kentucky wildcats \| l, 49-21 \| sec \| joker phillips \| jay mills row 9 : 2010 \| hawaii warriors \| l, 66-7 \| wac \| greg mcmackin \| jay mills row 10 : 2009 \| south florida bulls \| l, 59-0 \| big east \| jim leavitt \| jay mills row 11 : 2009 \| florida gators \| l, 62-3 \| sec \| urban meyer \| jay mills row 12 : 2008 \| miami redhawks \| l, 38-27 \| mac \| don treadwell \| jay mills row 13 : 2008 \| miami hurricanes \| l, 52-7 \| acc \| randy shannon \| jay mills row 14 : 2007 \| hawaii warriors \| l, 66-10 \| wac \| june jones \| jay mills row 15 : 2003 \| south florida bulls \| l, 55-7 \| big east \| jim leavitt \| jay mills row 16 : 2002 \| south florida bulls \| l, 56-6 \| big east \| jim leavitt \| david dowd ] Execute this SQL based on the above table: select count ( * ) where fbs opponent > 190	16
[ 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 total finals group by total finals order by count ( location ) desc limit 1	1
[ header: rank \| bib \| athlete \| country \| time \| deficit row 1 : None \| 5 \| sjur røthe \| norway \| 1:13:11.3 \| 2 row 2 : 4 \| 4 \| petter northug \| norway \| 1:13:14.5 \| 5.2 row 3 : 12 \| 41 \| tord asle gjerdalen \| norway \| 1:13:22.7 \| 13.4 row 4 : 15 \| 23 \| johannes durr \| austria \| 1:13:26.0 \| 16.7 row 5 : 16 \| 13 \| giorgio di centa \| italy \| 1:13:27.1 \| 17.8 row 6 : 17 \| 19 \| matti heikkinen \| finland \| 1:13:30.0 \| 20.7 row 7 : 18 \| 26 \| daniel richardsson \| sweden \| 1:13:31.1 \| 21.8 row 8 : 23 \| 12 \| lukas bauer \| czech republic \| 1:13:36.9 \| 27.6 row 9 : 27 \| 43 \| lari lehtonen \| finland \| 1:13:54.9 \| 45.6 row 10 : 28 \| 31 \| martin jaks \| czech republic \| 1:13:55.6 \| 46.3 row 11 : 31 \| 44 \| jiri magal \| czech republic \| 1:14:00.8 \| 51.5 row 12 : 32 \| 16 \| ivan babikov \| canada \| 1:14:03.0 \| 53.7 row 13 : 38 \| 33 \| martin bajcicak \| slovakia \| 1:15:25.7 \| +2:16.4 row 14 : 39 \| 51 \| andrew musgrave \| great britain \| 1:15:33.4 \| +2:24.1 row 15 : 47 \| 36 \| andy kuhne \| germany \| 1:17:02.2 \| +3:52.9 row 16 : 52 \| 34 \| graham nishikawa \| canada \| 1:17:18.9 \| +4:09.6 row 17 : 57 \| 65 \| philipp halg \| liechtenstein \| 1:18:19.6 \| +5:10.3 row 18 : 59 \| 62 \| sergey mikayelyan \| armenia \| 1:19:04.3 \| +5:55.0 row 19 : 62 \| 61 \| javier gutierrez \| spain \| 1:19:48.7 \| +6:39.4 row 20 : 66 \| 59 \| ondrej horyna \| czech republic \| 1:20:23.9 \| +7:14.6 row 21 : 67 \| 69 \| imanol rojo \| spain \| 1:20:25.5 \| +7:16.2 row 22 : 69 \| 78 \| andrew pohl \| new zealand \| 1:20:48.2 \| +7:38.9 row 23 : 70 \| 84 \| callum smith \| great britain \| 1:22:01.3 \| +8:52.0 row 24 : 72 \| 85 \| artur yeghoyan \| armenia \| 1:22:22.9 \| +9:13.6 row 25 : None \| 77 \| andrej buric \| croatia \| lap \| None row 26 : None \| 79 \| viorel andrei palici \| romania \| lap \| None row 27 : None \| 81 \| tadevos poghosy \| armenia \| lap \| None row 28 : None \| 89 \| mark van der ploeg \| australia \| lap \| None row 29 : None \| 90 \| cesar baena \| venezuela \| lap \| None row 30 : None \| 91 \| viossi-akpedje mad \| togo \| lap \| None row 31 : None \| 94 \| dachhiri sherpa \| nepal \| lap \| None row 32 : None \| 72 \| oleksii kraso \| ukraine \| dnf \| None ] Execute this SQL based on the above table: select count ( country ) group by time order by count ( country ) desc limit 1	24
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 1979 \| grandma's marathon \| duluth, united states \| 1st \| marathon \| 2:37:37 row 2 : 1980 \| grandma's marathon \| duluth, united states \| 1st \| marathon \| 2:38:35 row 3 : 1981 \| grandma's marathon \| duluth, united states \| 1st \| marathon \| 2:29:35 row 4 : 1984 \| boston marathon \| boston, united states \| 1st \| marathon \| 2:29:28 row 5 : 1984 \| olympic games \| los angeles, united states \| 5th \| marathon \| 2:28:54 row 6 : 1986 \| osaka ladies marathon \| osaka, japan \| 1st \| marathon \| 2:30:24 row 7 : 1986 \| commonwealth games \| edinburgh, scotl \| 2nd \| marathon \| 2:28:17 row 8 : 1987 \| osaka ladies marathon \| osaka, japan \| 1st \| marathon \| 2:30:40 row 9 : 1987 \| world championships \| rome, italy \| 21st \| 10,000 m \| 34:07.26 row 10 : 1988 \| olympic games \| seoul, south korea \| 33rd \| marathon \| 2:37:52 row 11 : 1989 \| osaka ladies marathon \| osaka, japan \| 1st \| marathon \| 2:30:21 row 12 : 1989 \| hokkaido marathon \| sapporo, japan \| 1st \| marathon \| 2:36:39 row 13 : 1991 \| hokkaido marathon \| sapporo, japan \| 1st \| marathon \| 2:33:20 row 14 : 1992 \| olympic games \| barcelona, spain \| 3rd \| marathon \| 2:33:59 row 15 : 1996 \| olympic games \| atlanta, united states \| 46th \| marathon \| 2:42:21 ] Execute this SQL based on the above table: select max ( notes ) where event = 'marathon'	2
[ 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 year <= 1726	0
[ header: network name \| flagship \| programming type \| owner \| affiliates row 1 : canal de las estrellas \| xew 2 \| soap operas, retro movies and sports \| televisa \| 1 row 2 : canal 5 \| xhgc 5 \| cartoons, movies, and series \| televisa \| 1 row 3 : azteca 7 \| xhimt 7 \| sports, series, and movies \| tv azteca \| 1 row 4 : galavision \| xeq 9 \| retro programming and sports \| televisa \| 1 row 5 : once tv \| xeipn 11 \| educational and cultural \| national polytechnic institute \| 1 row 6 : azteca 13 \| xhdf 13 \| news, soap operas, and sports \| tv azteca \| 1 row 7 : independent \| None \| varies \| independent \| 2 ] Execute this SQL based on the above table: select flagship where flagship in ( 'xew 2' , 'None' ) order by affiliates desc limit 1	xew 2
[ header: # \| employer \| # of employees row 1 : 1 \| medline \| 1200 row 2 : 2 \| mundelein park district \| 422 row 3 : 3 \| amcor \| 350 row 4 : 4 \| fremont school district 79 \| 287 row 5 : 5 \| university of saint mary of the lake \| 220 row 6 : 6 \| mundelein elementary school district 75 \| 213 row 7 : 7 \| mundelein high school \| 211 row 8 : 8 \| village of mundelein \| 183 ] Execute this SQL based on the above table: select employer where employer in ( 'fremont school district 79' , 'mundelein high school' ) order by # of employees desc limit 1	fremont school district 79
[ header: class \| no \| team \| drivers \| chassis \| engine \| laps row 1 : gt 1.6 \| 186 \| luigi rinaldi \| luigi rinaldi mario \| alfa romeo gta \| alfa romeo 1.6 i \| 6 row 2 : p 3.0 \| 14 \| autodelta spa \| toine hezemans masten \| alfa romeo t33/3 \| alfa romeo 3.0l \| 5 row 3 : gt 1.6 \| 188 \| etna \| checco d'angelo \| alfa romeo gta \| alfa romeo 1.6l \| 5 row 4 : gt 1.3 \| 288 \| v10 kleber \| ferdi bokmann hans \| simca 1300 \| simca 1.3l i4 \| 5 row 5 : gt 2.0 \| 128 \| None \| ignazio capuano \| porsche 911s \| porsche 2.0l flat-6 \| 4 row 6 : gt 1.6 \| 180 \| scuderia pegaso \| paolo de luca giu \| alfa romeo gta \| alfa romeo 1.6l \| 4 row 7 : s 1.6 \| 156 \| etna \| giuseppe d'amico \| alfa romeo giuli \| alfa romeo 1.6l \| 3 row 8 : gt 1.6 \| 198 \| salvatore gagliano \| salvatore gagliano alfons \| alfa romeo gta \| alfa romeo 1.6l \| 3 row 9 : p 1.0 \| 254 \| romano martini \| francesco patane "oras \| fiat-abarth 1000sp \| abarth 1.0l i4 \| 3 row 10 : gt 1.6 \| 264 \| romano martini \| romano martini alessandro \| ats 1000 sp \| ford 1.0l i4 \| 3 row 11 : p 3.0 \| 38 \| abarth-osella \| arturo merzario johan \| abarth 3000sp \| abarth 3.0l v8 \| 2 row 12 : p 1.0 \| 256 \| scuderia brescia cor \| luigi moreschi "patrizia \| ams sp \| ford 1.0l i4 \| 2 row 13 : p 1.0 \| 266 \| "gero" \| "gero" "roger" \| de sanctis \| ford 1.0l i4 \| 2 row 14 : gt 1.6 \| 276 \| scuderia pegaso \| antonio catalano marc \| lancia fulvia hf \| lancia 1.6l v4 \| 2 row 15 : s 1.3 \| 232 \| aldo bersano \| aldo bersano willi \| abarth 1300s \| abarth 1.3l i4 \| 1 row 16 : gt 1.3 \| 272 \| jolly club \| antonio trenti alber \| lancia fulvia hf \| lancia 1.6l v4 \| 1 row 17 : p 3.0 \| 20 \| porsche system \| vic elford hans her \| porsche 908/03 \| porsche 3.0l flat-8 \| 0 ] Execute this SQL based on the above table: select team where no = 188	etna
[ header: game \| date \| visitor \| score \| home \| decision \| attendance \| record \| points row 1 : 34 \| january 3 \| ny rangers \| 2 - 4 \| philadelphia \| parent \| 17007 \| 22-8-4 \| 48 row 2 : 35 \| january 5 \| philadelphia \| 3 - 3 \| minnesota \| parent \| 15296 \| 22-8-5 \| 49 row 3 : 36 \| january 7 \| philadelphia \| 1 - 2 \| montreal \| parent \| 19040 \| 22-9-5 \| 49 row 4 : 37 \| january 10 \| minnesota \| 4 - 7 \| philadelphia \| parent \| 17007 \| 23-9-5 \| 51 row 5 : 38 \| january 11 \| philadelphia \| 7 - 6 \| atlanta \| taylor \| 5141 \| 24-9-5 \| 53 row 6 : 39 \| january 13 \| atlanta \| 0 - 1 \| philadelphia \| parent \| 17007 \| 25-9-5 \| 55 row 7 : 40 \| january 17 \| buffalo \| 2 - 7 \| philadelphia \| parent \| 17007 \| 26-9-5 \| 57 row 8 : 41 \| january 19 \| los angeles \| 0 - 2 \| philadelphia \| parent \| 17007 \| 27-9-5 \| 59 row 9 : 42 \| january 20 \| pittsburgh \| 5 - 3 \| philadelphia \| parent \| 17007 \| 27-10-5 \| 59 row 10 : 43 \| january 22 \| philadelphia \| 3 - 2 \| vancouver \| taylor \| 15570 \| 28-10-5 \| 61 row 11 : 44 \| january 24 \| philadelphia \| 4 - 4 \| los angeles \| parent \| 14343 \| 28-10-6 \| 62 row 12 : 45 \| january 25 \| philadelphia \| 5 - 0 \| california \| parent \| 10776 \| 29-10-6 \| 64 row 13 : 46 \| january 27 \| philadelphia \| 3 - 5 \| boston \| taylor \| 15003 \| 29-11-6 \| 64 row 14 : 47 \| january 31 \| buffalo \| 3 - 4 \| philadelphia \| parent \| 17007 \| 30-11-6 \| 66 ] Execute this SQL based on the above table: select decision where decision != 'parent' order by points desc limit 1	taylor
[ header: no. \| title (latin) \| title (english translation) \| subject \| date row 1 : 1 \| ad beatissimi aposto \| to the chair of the prince of the apostles \| appealing for peace \| 1 november 1914 row 2 : 2 \| humani generis redemptionem \| redemption of the human race \| on preaching the word of god \| 15 june 1917 row 3 : 3 \| quod iam diu \| None \| on the future peace conference \| 1 december 1918 row 4 : 4 \| in hac tanta \| None \| on st. boniface \| 14 may 1919 row 5 : 5 \| paterno iam diu \| None \| on the children of central europe \| 24 november 1919 row 6 : 6 \| pacem, dei munus pulcher \| peace, the beautiful gift of god \| on peace and christian reconciliation \| 23 may 1920 row 7 : 7 \| spiritus paraclitus \| the spirit, the paraclete \| on st. jerome \| 15 september 1920 row 8 : 8 \| principi apostolorum p \| to peter, prince of the apostles \| on st. ephram the \| 5 october 1920 row 9 : 9 \| annus iam plenus \| None \| on children in central europe \| 1 december 1920 row 10 : 10 \| sacra propediem \| None \| on the third order of st. fr \| 6 january 1921 row 11 : 11 \| in praeclara summorum \| None \| on dante \| 30 april 1921 row 12 : 12 \| fausto appetente die \| None \| on st. dominic \| 29 june 1921 ] Execute this SQL based on the above table: select title (latin) where subject = 'on st. jerome'	spiritus paraclitus
[ header: rank \| player \| county \| tally \| total \| opposition row 1 : 1 \| eamonn flynn \| dublin \| 3-5 \| 14 \| wexford row 2 : 1 \| charlie mccarthy \| cork \| 2-8 \| 14 \| galway row 3 : 3 \| paddy fahy \| galway \| 2-7 \| 13 \| kildare row 4 : 5 \| charlie mccarthy \| cork \| 3-3 \| 12 \| offaly row 5 : 5 \| michael moroney \| clare \| 2-6 \| 12 \| dublin row 6 : 5 \| declan lovett \| kerry \| 1-9 \| 12 \| galway row 7 : 9 \| ger cuddy \| laois \| 3-2 \| 11 \| wicklow row 8 : 9 \| pat enright \| waterford \| 2-5 \| 11 \| kerry row 9 : 9 \| pat enright \| waterford \| 1-8 \| 11 \| laois row 10 : 9 \| johnny walsh \| kildare \| 0-11 \| 11 \| waterford row 11 : 9 \| eddie keher \| kilkenny \| 0-11 \| 11 \| wexford row 12 : 14 \| brendan cummins \| cork \| 3-1 \| 10 \| wexford row 13 : 14 \| p. j. molloy \| galway \| 3-1 \| 10 \| kerry row 14 : 14 \| nick behan \| kildare \| 3-1 \| 10 \| kerry row 15 : 14 \| seanie o'leary \| cork \| 3-1 \| 10 \| limerick row 16 : 14 \| michael keating \| tipperary \| 2-4 \| 10 \| wexford row 17 : 14 \| declan lovett \| kerry \| 2-4 \| 10 \| waterford row 18 : 14 \| michael keating \| tipperary \| 2-4 \| 10 \| dublin row 19 : 14 \| eddie keher \| kilkenny \| 2-4 \| 10 \| dublin row 20 : 14 \| mick dwan \| kildare \| 2-4 \| 10 \| antrim row 21 : 14 \| charlie mccarthy \| cork \| 1-7 \| 10 \| kilkenny row 22 : 14 \| paddy fahy \| galway \| 0-10 \| 10 \| kerry row 23 : 14 \| johnny walsh \| kildare \| 0-10 \| 10 \| westmeath row 24 : 27 \| p flynn \| wexford \| 3-0 \| 9 \| offaly row 25 : 27 \| n casey \| clare \| 3-0 \| 9 \| cork row 26 : 27 \| willie moore \| limerick \| 3-0 \| 9 \| cork row 27 : 27 \| ger cuddy \| laois \| 3-0 \| 9 \| westmeath row 28 : 27 \| tom ryan \| galway \| 3-0 \| 9 \| laois row 29 : 27 \| seanie o'leary \| cork \| 3-0 \| 9 \| offaly row 30 : 27 \| p flynn \| wexford \| 2-3 \| 9 \| cork row 31 : 27 \| eddie keher \| kilkenny \| 2-3 \| 9 \| limerick row 32 : 27 \| johnny walsh \| kildare \| 1-6 \| 9 \| galway row 33 : 27 \| francis loughnane \| tipperary \| 1-6 \| 9 \| cork row 34 : 27 \| richie bennis \| limerick \| 1-6 \| 9 \| cork row 35 : 27 \| pat enright \| waterford \| 0-9 \| 9 \| kildare row 36 : 27 \| johnny walsh \| kildare \| 0-9 \| 9 \| kerry ] Execute this SQL based on the above table: select count ( opposition ) where total not null	36
[ header: election \| party name \| total votes \| share of votes \| seats \| share of seats \| party leader(s) \| notes row 1 : 1961 \| progressive party \| 69045 \| 8.6% \| 1 \| 0.6% \| jan steytler \| national party (np) victory row 2 : 1966 \| progressive party \| 39717 \| 3.1% \| 1 \| 0.6% \| jan steytler \| np victory row 3 : 1970 \| progressive party \| 51760 \| 3.5% \| 1 \| 0.6% \| jan steytler \| np victory row 4 : 1974 \| progressive party \| 58768 \| 5.3% \| 7 \| 4.1% \| colin eglin \| np victory row 5 : 1977 \| progressive federal party \| 177705 \| 16.7% \| 17 \| 10.3% \| colin eglin \| np victory; pfp gains row 6 : 1981 \| progressive federal party \| 265297 \| 19.4% \| 27 \| 15.2% \| frederik van zyl slabbert \| np victory; pfp remains row 7 : 1987 \| progressive federal party \| 288579 \| 13.9% \| 20 \| 11.2% \| colin eglin \| np victory; pfp lose row 8 : 1989 \| democratic party \| 431444 \| 20.0% \| 34 \| 19.1% \| zach de beer, denis wor \| np victory ] Execute this SQL based on the above table: select share of votes where share of seats = '11.2%' and share of votes = '13.9%'	13.9%
[ header: record \| date and time \| competition \| home or away \| opponent \| score row 1 : biggest win \| 19.10.1912 at 15:00 \| spartan league \| home \| aylesbury united \| 14-0 row 2 : biggest defeat \| 09.11.1946 at 15:00 \| isthmian league \| home \| wimbledon \| 0-11 row 3 : most goals in one match \| 22.11.1922 at 15:00 \| fa cup / 4th q \| away \| dulwich hamlet \| 7-8 row 4 : biggest home win \| 19.10.1912 at 15:00 \| spartan league \| home \| aylesbury united \| 14-0 row 5 : biggest home defeat \| 09.11.1946 at 15:00 \| isthmian league \| home \| wimbledon \| 0-11 row 6 : biggest away win \| 24.11.1970 at 15:00 \| mithras cup 2nd r \| away \| ruislip manor \| 10-0 row 7 : biggest away win \| 17.04.1920 at 15:00 \| spartan league \| away \| tufnell spartans \| 11-1 row 8 : biggest away defeat \| 04.11.2008 at 19:45 \| herts charity cup \| away \| hemel hempstead town \| 0-10 ] Execute this SQL based on the above table: select score where competition = 'isthmian league'	0-11, 0-11
[ header: year \| tournament \| venue \| result \| extra row 1 : 2002 \| european indoor championships \| vienna, austria \| 5th \| None row 2 : 2003 \| universiade \| daegu, south korea \| 3rd \| None row 3 : 2004 \| world indoor championships \| budapest, hungary \| 1st \| 2.04 pbi row 4 : 2004 \| summer olympics \| athens, greece \| 1st \| 2.06 nr row 5 : 2004 \| world athletics final \| monte carlo, monaco \| 1st \| None row 6 : 2006 \| world indoor championships \| moscow, russia \| 1st \| 2.02 row 7 : 2006 \| european championships \| gothenburg, sweden \| 5th \| 1.99 m row 8 : 2006 \| world athletics final \| stuttgart, germany \| 4th \| None row 9 : 2006 \| world cup \| athens, greece \| 1st \| 1.97 row 10 : 2007 \| world championships \| osaka, japan \| 4th \| None row 11 : 2008 \| summer olympics \| beijing, china \| 4th \| 2.01 row 12 : 2011 \| world championships \| daegu, korea \| 4th \| 1.97 ] Execute this SQL based on the above table: select year where tournament = 'summer olympics'	2004, 2008
[ header: name \| service \| rank \| role and unit \| date of award \| notes \| image row 1 : erdmann gabriel \| heer \| oberfeldwebel \| platoon leader in the ii. \| 30 august 1941 \| None \| row 2 : georg gartner \| heer \| hauptmann \| commander of the i./sturm- \| 21 september 1944 \| None \| row 3 : otto gaillinger \| heer \| oberleutnant \| leader of the 1./infanterie-bat \| 8 october 1943 \| killed in action 29 september 1943 \| row 4 : wilhelm gaißer \| heer \| leutnant of the reserves \| leader of the 1./grenadier- \| 17 march 1945 \| None \| row 5 : adolf galland \| luftwaffe \| major \| gruppenkommandeur of the i \| 29 july 1940 \| awarded 3rd oak leaves 24 september 1940 \| row 6 : franz gapp \| luftwaffe \| oberfeldwebel \| pilot in the 8./kampfgeschwader \| 18 september 1943 \| None \| row 7 : heinrich gath \| heer \| stabsfeldwebel \| platoon leader in the 2./panzer \| 11 october 1943 \| None \| row 8 : alfred gause \| heer \| generalmajor \| chief of the generalstab of the panzer \| 13 december 1941 \| None \| row 9 : gebhard? \| waffen-ss \| ss-oberscharfuhrer \| platoon leader in the 2./ss \| 6 may 1945 \| None \| row 10 : oskar genrich \| luftwaffe \| oberleutnant \| pilot in the 2.(f)/aufkla \| 3 november 1942 \| None \| row 11 : karl-heinz giff \| heer \| leutnant of the reserves \| vorgeschobener beobachter ( \| 18 november 1944 \| None \| row 12 : hans gobel \| heer \| hauptmann \| commander of the ii./grena \| 29 april 1945 \| None \| row 13 : siegwart goller? \| heer \| hauptmann of the reserves \| commander of the ii./gebir \| 9 may 1945 \| None \| row 14 : helmut gortz \| luftwaffe \| feldwebel \| platoon leader in the 3./fallschirm \| 24 may 1940 \| None \| row 15 : franz gotz \| luftwaffe \| oberleutnant \| staffelkapitan of the 9./ \| 4 september 1942 \| None \| row 16 : albert graf von der goltz \| heer \| major of the reserves \| commander of the i./infanterie \| 7 may 1942 \| awarded 316th oak leaves 2 november \| row 17 : heinz graeber \| luftwaffe \| oberfeldwebel \| radio operator in the 15./kampfgeschwa \| 30 september 1943 \| None \| ] Execute this SQL based on the above table: select image where service = 'heer'	, , , , , , , , ,
[ header: year \| award ceremony \| category \| film/show \| result row 1 : 2005 \| indian television academy awards \| ita award for best actress - comedy \| sarabhai vs \| won row 2 : 2005 \| indian telly awards \| best actress in a comic role \| sarabhai vs \| won row 3 : 2006 \| indian television academy awards \| ita award for best actress - comedy \| sarabhai vs \| nominated row 4 : 2009 \| screen awards \| screen award for best supporting actress \| jaane tu ya ja \| nominated row 5 : 2009 \| filmfare awards \| filmfare best supporting actress award \| jaane tu ya ja \| nominated row 6 : 2011 \| filmfare awards \| filmfare best supporting actress award \| golmaal 3 \| nominated row 7 : 2011 \| screen awards \| screen award for best supporting actress \| golmaal 3 \| nominated row 8 : 2011 \| zee cine awards \| zee cine award for best actor in \| golmaal 3 \| nominated row 9 : 2011 \| apsara film & television producers \| apsara award for best actress in \| golmaal 3 \| nominated row 10 : 2011 \| 12th iifa awards \| iifa award for best supporting actress \| golmaal 3 \| nominated ] Execute this SQL based on the above table: select film/show order by year limit 1	sarabhai vs sarabhai
[ header: date \| winner \| runner-up \| result \| site \| attendance row 1 : february 11, 1978 \| #2 maryland \| #1 nc state \| 89-82 \| charlottesville, virginia \| 1500 row 2 : february 10, 1979 \| #1 maryland \| #2 nc state \| 75-73 \| raleigh, north carolina \| 3500 row 3 : february 10, 1980 \| #1 nc state \| #2 maryland \| 85-75 \| college park, maryland \| None row 4 : february 14, 1981 \| #3 maryland \| #4 nc state \| 64-63 \| clemson, south carolina \| 300 row 5 : march 6, 1983 \| #3 maryland \| #1 nc state \| 84-81 \| fayetteville, north carolin \| 2134 row 6 : march 4, 1984 \| #5 north carolina \| #3 nc state \| 99-76 \| fayetteville, north carolin \| 3733 row 7 : march 3, 1986 \| #5 maryland \| #2 north carolina \| 92-74 \| fayetteville, north carolin \| 2632 row 8 : march 2, 1987 \| #2 nc state \| #1 virginia \| 57-56 \| fayetteville, north carolin \| 2987 row 9 : march 7, 1988 \| #2 maryland \| #1 virginia \| 76-70 \| fayetteville, north carolin \| 1223 row 10 : march 4, 1991 \| #3 nc state \| #4 clemson \| 84-61 \| fayetteville, north carolin \| 4102 row 11 : march 9, 1992 \| #1 virginia \| #7 georgia tech \| 70-69 \| rock hill, south carolina \| 4154 row 12 : march 8, 1993 \| #1 virginia \| #2 maryland \| 106-103 3ot \| rock hill, south carolina \| 3716 row 13 : march 7, 1994 \| #2 north carolina \| #1 virginia \| 77-60 \| rock hill, south carolina \| 4386 row 14 : march 5, 1995 \| #2 north carolina \| #4 duke \| 95-70 \| rock hill, south carolina \| 5724 row 15 : march 2, 1997 \| #1 north carolina \| #6 clemson \| 62-58 \| charlotte, north carolina \| 5543 row 16 : march 1, 1998 \| #4 north carolina \| #2 clemson \| 81-50 \| charlotte, north carolina \| 5534 row 17 : march 5, 2001 \| #1 duke \| #3 nc state \| 57-45 \| greensboro, north carolina \| 8933 row 18 : march 4, 2002 \| #1 duke \| #2 north carolina \| 87-80 \| greensboro, north carolina \| 9204 row 19 : march 10, 2003 \| #1 duke \| #2 north carolina \| 77-59 \| greensboro, north carolina \| 11127 row 20 : march 7, 2005 \| #1 north carolina \| #2 duke \| 88-67 \| greensboro, north carolina \| 11578 row 21 : march 5, 2006 \| #1 north carolina \| #3 maryland \| 91-80 \| greensboro, north carolina \| 10746 row 22 : march 4, 2007 \| #2 north carolina \| #4 nc state \| 60-54 \| greensboro, north carolina \| 11538 row 23 : march 9, 2008 \| #1 north carolina \| #3 duke \| 86-73 \| greensboro, north carolina \| 11132 row 24 : march 7, 2010 \| #1 duke \| #6 nc state \| 70-60 \| greensboro, north carolina \| 9432 row 25 : march 6, 2011 \| #1 duke \| #6 north carolina \| 81-67 \| greensboro, north carolina \| 9890 row 26 : march 4, 2012 \| #3 maryland \| #4 georgia tech \| 68-65 \| greensboro, north carolina \| 9122 row 27 : march 10, 2013 \| #1 duke \| #3 north carolina \| 92-73 \| greensboro, north carolina \| 8166 ] Execute this SQL based on the above table: select count ( runner-up ) where attendance > 11132	2
[ header: year \| winners \| score \| runners up \| notes row 1 : 1947 \| wellington town reserves \| 4-1 \| walsall wood \| None row 2 : 1949 \| bilston town \| 1-0 \| oswestry town \| None row 3 : 1950 \| brereton social drew \| None \| None \| None row 4 : 1951 \| bloxwich strollers \| 1-0 \| walsall wood \| after extra time row 5 : 1955 \| shelfield athletic \| 5-1 \| walsall trinity \| None row 6 : 1956 \| shelfield athletic \| 2-0 \| ogley hay \| None row 7 : 1959 \| shelfield athletic \| 4-0 \| walsall wood \| None row 8 : 1960 \| shelfield athletic \| 3-0 \| walsall wood \| None row 9 : 1965 \| rushall olympic \| 2-1 \| brereton social \| None row 10 : 1966 \| lower gornal athletic \| 4-2 \| kidderminster harriers \| after extra time row 11 : 1968 \| wrockwardine wood \| 2-1 \| tamworth \| None row 12 : 1971 \| baddesley colliery \| 4-3 \| atherstone town \| aggregate score, 1st leg 2-2, row 13 : 1973 \| bilston town \| 1-0 \| darlaston \| None row 14 : 1974 \| brereton social \| 3-2 \| warley county borough \| after extra time row 15 : 1977 \| blakenall \| 1-0 \| bilston town \| replay, 1st game 0-0 a row 16 : 1978 \| sutton coldfield town \| 2-0 \| alvechurch \| None row 17 : 1980 \| sutton coldfield town \| 1-0 \| rushall olympic \| None row 18 : 1981 \| blakenall \| 2-1 \| sutton coldfield town \| replay, 1st game 1-1 a row 19 : 1983 \| coleshill town \| 4-3 \| wolverhampton united \| None row 20 : 1984 \| atherstone town \| 4-0 \| tividale \| None row 21 : 1985 \| harrisons \| 2-0 \| wolverhampton united \| None row 22 : 1987 \| boldmere st. michaels \| 2-0 \| bloxwich town \| None row 23 : 1990 \| meir ka \| 2-1 \| rushall olympic \| replay, 1st game 0-0 a row 24 : 1991 \| chasetown \| 1-0 \| blakenall \| after extra time row 25 : 1992 \| armitage 90 \| 3-2 \| meir ka \| after extra time row 26 : 1993 \| chasetown \| 3-1 \| pelsall villa \| None row 27 : 1994 \| newcastle town \| 1-0 \| oldbury united \| after extra time row 28 : 1995 \| newcastle town \| 1-1 \| knypersley victoria \| after extra time, newcastle won on penalties row 29 : 1996 \| blakenall \| 0-0 \| newcastle town \| after extra time, blakenall won on row 30 : 1998 \| blakenall \| 2-1 \| halesowen harriers \| None row 31 : 1999 \| blakenall \| 3-2 \| meir ka \| None row 32 : 2000 \| rushall olympic \| 2-2 \| rocester \| after extra time, rushall won 5-4 on row 33 : 2001 \| wolverhampton casuals \| 2-0 \| sutton coldfield town \| None row 34 : 2002 \| bolehall swifts \| 4-4 \| tividale \| after extra time, bolehall won 4 row 35 : 2004 \| sutton coldfield town \| 3-1 \| tividale \| None row 36 : 2005 \| chasetown \| 2-1 \| tividale \| None row 37 : 2006 \| boldmere st michaels \| 1-0 \| tipton town \| None ] Execute this SQL based on the above table: select count ( notes ) where year = 0	0
[ header: date \| opponent# \| rank# \| site \| result \| attendance row 1 : 1959-09-26 \| at #16 georgia tech \| #6 \| grant field • atlanta, ga \| l 12-16 \| 43000 row 2 : 1959-10-03 \| #15 navy \| None \| cotton bowl • dallas, t \| w 20-7 \| 46000 row 3 : 1959-10-09 \| missouri \| #15 \| cotton bowl • dallas, t \| w 23-2 \| 33000 row 4 : 1959-10-17 \| at rice \| #16 \| rice stadium • houston, tx \| t 13-13 \| 65000 row 5 : 1959-10-24 \| texas tech \| None \| cotton bowl • dallas, t \| w 21-13 \| 30000 row 6 : 1959-10-31 \| #4 texas \| None \| cotton bowl • dallas, t \| l 0-21 \| 65000 row 7 : 1959-11-07 \| at texas a&m \| None \| kyle field • college station, t \| w 14-11 \| 19000 row 8 : 1959-11-14 \| #20 arkansas \| None \| cotton bowl • dallas, t \| l 14-17 \| 31000 row 9 : 1959-11-21 \| at baylor \| None \| floyd casey stadium • waco, \| w 30-14 \| 25000 row 10 : 1959-11-28 \| at #8 texas christi \| None \| amon g. carter stadium • for \| l 0-19 \| 40000 ] Execute this SQL based on the above table: select attendance where site = 'amon g. carter stadium • fort worth, tx'	40000
[ header: artist \| song \| soundtrack \| episode(s) \| notes row 1 : the 88 \| "hide another mistake" \| None \| 3.01 \| row 2 : alexi murdoch \| "all my days" \| None \| 4.03 \| row 3 : april march \| "garcon glacon" \| None \| 4.11 \| row 4 : athlete \| "tourist" \| None \| 2.12 \| row 5 : beulah \| "popular mechanics for lovers" \| mix 2 \| 1.15 \| row 6 : bloc party \| "i still remember" \| None \| 4.14 \| row 7 : the bravery \| "an honest mistake" \| None \| 2.24 \| row 8 : carmen rizzo (featuring \| "travel in time" \| None \| 3.07 \| row 9 : cham pain \| "show me" \| None \| 1.01 \| row 10 : clearlake \| "good clean fun" (nobody remix \| None \| 4.06 \| row 11 : cobra verde \| "get the party started" \| None \| 3.02 \| row 12 : cobra verde \| "waiting for a girl like you" \| None \| 3.17 \| row 13 : damien rice \| "cannonball" \| None \| 1.17 \| row 14 : death cab for cutie \| "a movie script ending" \| None \| 1.07, 2.20 \| row 15 : death cab for cutie \| "the sound of settling" \| None \| 2.2 \| row 16 : firstcom \| "hannukah lights" \| None \| 1.13 \| row 17 : firstcom \| "silent night" \| None \| 1.13, 3.10 \| row 18 : the go find \| "summer quest" \| None \| 2.11 \| row 19 : guster \| "keep it together" \| None \| 1.08 \| row 20 : ian broudie \| "song for no one" \| None \| 3.01 \| row 21 : imogen heap \| "hide and seek" \| mix 5 \| 2.24 \| row 22 : the invisible men \| "make it bounce" \| None \| 3.09 \| row 23 : james horner \| "sing, sing, sing, (with \| None \| 1.03 \| row 24 : jet \| "shine on" \| None \| 4.16 \| row 25 : jimmy eat world \| "last christmas" \| mix 3 \| None \| row 26 : journey \| "open arms" \| None \| 2.08 \| row 27 : juana molina \| "tres cosas" \| None \| 2.2 \| row 28 : the long winters \| "christmas with you is best" \| mix 3 \| None \| row 29 : love as laughter \| "dirty lives" \| None \| 2.23 \| row 30 : the m's \| "come into our room" (clinic \| mix 6 \| None \| row 31 : mastersource \| "something for you" \| None \| 1.21 \| row 32 : mastersource \| "walkin' the walk" \| None \| 1.21 \| row 33 : pennywise \| "knocked down" \| None \| 3.06 \| row 34 : the pogues \| "love you 'till the end \| None \| 4.04 \| row 35 : poster children \| "western springs" \| None \| 2.1 \| row 36 : ranchera all stars \| "pa todo el an \| None \| 4.04 \| row 37 : the shins \| "turn on me" \| None \| 4.1 \| row 38 : soledad brothers \| "cage that tiger" \| None \| 2.22 \| row 39 : youth group \| "start today tomorrow" \| None \| 4.13 \| ] Execute this SQL based on the above table: select count ( * ) where soundtrack = 'mix 2'	1
[ header: name \| first held \| country \| earliest attendance figure known \| 1998 attendance \| 2000 attendance \| 2002 attendance \| 2004 attendance \| 2006 attendance \| 2008 attendance \| 2010 attendance \| 2012 attendance row 1 : animefest \| 1992 \| usa \| 105 (1992) \| 650 \| 750 \| 1800 \| 2725 \| 4127 \| None \| None \| None row 2 : animeexpo \| 1992 \| usa \| 1750 (1992) \| 4883 \| 9700 \| 15250 \| 25000 \| 40647 \| 43000 \| 44000 \| 49400 row 3 : fanimecon \| 1994 \| usa \| 200 (1994) \| 1700 \| 2300 \| 4600 \| 6122 \| 10000 \| 14926 \| 16000 \| 21000 row 4 : otakon \| 1994 \| usa \| 350 (1994) \| 2500 \| 7500 \| 12880 \| 20899 \| 22302 \| 26262 \| 29274 \| 32724 row 5 : katsucon \| 1995 \| usa \| 500 (1995) \| 1400 \| 2300 \| 3000 \| 4300 \| 5664 \| 6300 \| None \| 12614 row 6 : nan desu kan \| 2000 \| usa \| None \| None \| 1477 \| 2467 \| 2859 \| 5018 \| 5975 \| None \| None row 7 : animeiowa \| 1997 \| usa \| 150 (1997) \| 300 \| 700 \| None \| None \| None \| None \| None \| None row 8 : otafest \| 1999 \| usa \| 700 (1999) \| None \| 900 \| None \| None \| None \| 4042 \| 3697 \| None row 9 : sakura-con \| 2000 \| usa \| 866(2000) \| 313 \| 866 \| 2328 \| 4425 \| 7500 \| 13600 \| 18002 \| 21457 row 10 : shoujocon \| 2000 \| usa \| 456(2000) \| 456 \| 1229 \| None \| None \| None \| None \| None \| None row 11 : j-popcon \| 2000 \| denmark \| None \| None \| 200 \| None \| None \| 1000 \| None \| 2200 \| None row 12 : sugoicon \| 2000 \| usa \| 522(2000) \| None \| 522 \| 930 \| 1333 \| 1400 \| None \| None \| None row 13 : ohayocon \| 2001 \| usa \| 654(2001) \| None \| None \| 1200 \| 3042 \| 4257 \| 7000 \| 10120 \| 40 row 14 : big apple anime fest \| 2001 \| usa \| 3500(2001) \| None \| None \| 7500 \| None \| None \| None \| None \| None row 15 : manifest \| 2001 \| australia \| 3500(2006) \| None \| None \| None \| None \| 3500 \| 4800 \| None \| None row 16 : anime detour \| 2004 \| usa \| 1200(2004) \| None \| None \| None \| 1200 \| 2464 \| 3000 \| None \| None row 17 : portconmaine \| 2002 \| usa \| 250(2002) \| None \| None \| 250 \| 811 \| 1400 \| 1650 \| 2072 \| 2306 row 18 : anime friends \| 2003 \| brazil \| 25000(2004) \| None \| None \| None \| 25000 \| 50000 \| 120000 \| None \| None row 19 : anime nebraskon \| 2004 \| usa \| None \| None \| None \| None \| 300 \| None \| None \| 2000 \| None row 20 : tsubasacon \| 2004 \| usa \| 407(2004) \| None \| None \| None \| 407 \| 564 \| 723 \| 1105 \| 1320 row 21 : kawaii kon \| 2005 \| hawaii \| 2610 (2005) \| None \| None \| None \| None \| 2610 \| 3495 \| 4877 \| 6077 row 22 : sac-anime \| 2005 \| usa \| 2000(2006) \| None \| None \| None \| None \| 2000 \| None \| None \| 5000 row 23 : youmacon \| 2005 \| usa \| 1078(2005) \| None \| None \| None \| None \| 2125 \| 4494 \| None \| 12156 row 24 : anime punch \| 2005 \| usa \| 200(2005) \| None \| None \| None \| None \| 977 \| 1337 \| 1206 \| None ] Execute this SQL based on the above table: select country order by 2006 attendance desc limit 1	brazil
[ header: boat # \| name \| builder \| laid down \| launched \| completed \| fate row 1 : 4918 \| ha-208 \| sasebo naval arsenal \| 01-05-1945 \| 26-05-1945 \| 04-08-1945 \| decommissioned 30-11-1945. scut row 2 : 4920 \| ha-210 \| sasebo naval arsenal \| 14-05-1945 \| 10-06-1945 \| 11-08-1945 \| decommissioned 30-11-1945. scut row 3 : 4925 \| ha-215 \| sasebo naval arsenal \| 22-05-1945 \| 15-05-1945 \| None \| incomplete until the end of war (95%). row 4 : 4931 \| ha-221 \| mitsubishi-kobe shipyard \| 20-04-1945 \| 04-08-1945 \| None \| incomplete until the end of war (85%). row 5 : 4933 \| ha-223 \| kawasaki-kobe shipyard \| 01-05-1945 \| None \| None \| incomplete until the end of war (60%). scrap row 6 : 4938 \| ha-228 \| sasebo naval arsenal \| 21-06-1945 \| 18-07-1945 \| None \| incomplete until the end of war (75%). row 7 : 4939 \| ha-229 \| sasebo naval arsenal \| 27-06-1945 \| 27-07-1945 \| None \| incomplete until the end of war (75%). scrap row 8 : 4942 \| ha-232 \| sasebo naval arsenal \| 18-07-1945 \| None \| None \| incomplete until the end of war (40%). later row 9 : 4944 \| ha-234 \| kawasaki-kobe shipyard \| 15-05-1945 \| None \| None \| incomplete until the end of war (50%). scrap row 10 : 4945 \| ha-235 \| kawasaki-senshu shipyard \| 01-06-1945 \| None \| None \| incomplete until the end of war (10%). later row 11 : 4946 \| ha-236 \| kawasaki-kobe shipyard \| 01-06-1945 \| None \| None \| incomplete until the end of war (40%). scrap row 12 : 4958 - 4989 \| None \| None \| None \| None \| None \| constructions were not started until the end of war ] Execute this SQL based on the above table: select count ( * ) where completed = 'None'	0
[ header: chip \| flash size \| eeprom \| sram \| frequency [mhz] \| package row 1 : at90s1200 \| 1k \| 64 \| 0 \| 12 \| pdip-20 row 2 : at90s2313 \| 2k \| 128 \| 128 \| 10 \| pdip-20 row 3 : at90s/ls2323 \| 2k \| 128 \| 128 \| 10 \| pdip-8 row 4 : at90s/ls2343 \| 2k \| 128 \| 128 \| 10 \| pdip-8 row 5 : at90s4414 \| 4k \| 256 \| 256 \| 8 \| pdip-40 row 6 : at90s/ls4434 \| 4k \| 256 \| 256 \| 8 \| pdip-40 row 7 : at90s8515 \| 8k \| 512 \| 512 \| 8 \| pdip-40 row 8 : at90s/ls8535 \| 8k \| 512 \| 512 \| 8 \| pdip-40 ] Execute this SQL based on the above table: select count ( * ) where flash size = '2k'	3
[ header: date \| site \| winning team \| winning team \| losing team \| losing team \| series row 1 : 1959 \| ames \| missouri \| 14 \| iowa state \| 0 \| missouri 30-16-6 row 2 : 1960 \| columbia \| missouri \| 34 \| iowa state \| 8 \| missouri 31-16-6 row 3 : 1962 \| columbia \| missouri \| 21 \| iowa state \| 6 \| missouri 33-16-6 row 4 : 1963 \| ames \| missouri \| 7 \| iowa state \| 0 \| missouri 34-16-6 row 5 : 1964 \| columbia \| missouri \| 10 \| iowa state \| 0 \| missouri 35-16-6 row 6 : 1965 \| ames \| missouri \| 23 \| iowa state \| 7 \| missouri 36-16-6 row 7 : 1967 \| ames \| missouri \| 23 \| iowa state \| 7 \| missouri 37-16-7 row 8 : 1969 \| ames \| missouri \| 40 \| iowa state \| 13 \| missouri 39-16-7 row 9 : 1971 \| ames \| iowa state \| 45 \| missouri \| 17 \| missouri 39-18-7 row 10 : 1973 \| ames \| iowa state \| 17 \| missouri \| 7 \| missouri 40-19-7 row 11 : 1974 \| columbia \| missouri \| 10 \| iowa state \| 7 \| missouri 41-19-7 row 12 : 1976 \| columbia \| iowa state \| 21 \| missouri \| 17 \| missouri 42-20-7 row 13 : 1977 \| ames \| iowa state \| 7 \| missouri \| 0 \| missouri 42-21-7 row 14 : 1978 \| columbia \| missouri \| 26 \| iowa state \| 13 \| missouri 43-21-7 row 15 : 1980 \| columbia \| missouri \| 14 \| iowa state \| 10 \| missouri 45-21-7 row 16 : 1982 \| columbia \| iowa state \| 17 \| missouri \| 17 \| missouri 45-22-8 row 17 : 1983 \| ames \| missouri \| 41 \| iowa state \| 18 \| missouri 46-22-8 row 18 : 1985 \| ames \| missouri \| 28 \| iowa state \| 27 \| missouri 47-22-9 row 19 : 1988 \| columbia \| iowa state \| 21 \| missouri \| 3 \| missouri 48-24-9 row 20 : 1992 \| ames \| iowa state \| 28 \| missouri \| 14 \| missouri 48-28-9 row 21 : 1995 \| columbia \| missouri \| 45 \| iowa state \| 31 \| missouri 51-28-9 row 22 : 1998 \| ames \| #21 missouri \| 35 \| iowa state \| 19 \| missouri 53-29-9 row 23 : 1999 \| columbia \| iowa state \| 24 \| missouri \| 21 \| missouri 53-30-9 row 24 : 2000 \| ames \| iowa state \| 39 \| missouri \| 20 \| missouri 53-31-9 row 25 : 2001 \| columbia \| iowa state \| 20 \| missouri \| 14 \| missouri 53-32-9 row 26 : 2004 \| ames \| missouri \| 17 \| iowa state \| 14 \| missouri 55-33-9 row 27 : 2007 \| columbia \| #13 missouri \| 42 \| iowa state \| 28 \| missouri 57-34-9 row 28 : 2008 \| ames \| #11 missouri \| 52 \| iowa state \| 20 \| missouri 58-34-9 row 29 : 2009 \| columbia \| missouri \| 34 \| iowa state \| 24 \| missouri 59-34-9 row 30 : 2010 \| ames \| #15 missouri \| 14 \| iowa state \| 0 \| missouri 60-34-9 ] Execute this SQL based on the above table: select count ( losing team ) where site = 'ames'	16
[ header: poll company \| source \| publication date \| psuv \| opposition \| undecided row 1 : gis xxi \| radio nacional de venezuela \| march 2010 \| 32 \| 22 \| 36 row 2 : gis xxi \| radio nacional de venezuela \| may 2010 \| 36 \| 23 \| 33 row 3 : gis xxi \| radio nacional de venezuela \| june 2010 \| 44 \| 20 \| None row 4 : hinterlaces \| hinterlaces el universal \| july 2010 \| 27 \| 28 \| 23 row 5 : gis xxi \| correo del orinoco \| august 2010 \| 50 \| 44 \| None row 6 : ivad \| el universal \| august 2010 \| 45 \| 43 \| None row 7 : keller & asociados \| el universal \| august 2010 \| 32 \| 46 \| None row 8 : keller & asociados \| el universal \| 2 september 2010 \| 43 \| 57 \| 0 row 9 : datanalisis \| abc.es \| september 2010 \| 52 \| 48 \| None row 10 : hinterlaces \| union radio descifrado \| september 2010 \| 41 \| 37 \| None row 11 : ivad \| union radio descifrado \| september 2010 \| 54 \| 46 \| None ] Execute this SQL based on the above table: select poll company where psuv = 54	ivad
[ header: medal \| name \| sport \| event row 1 : silver \| None \| badminton \| men's team row 2 : silver \| aparna popat \| badminton \| women's singles row 3 : silver \| jitender kumar \| boxing \| middleweight row 4 : silver \| jaspal rana \| shooting \| men's 25 m air pistol row 5 : silver \| jaspal rana satendra \| shooting \| men's air pistol pairs row 6 : silver \| dharmaraj wilson \| weightlifting \| men's 56 kg-combined row 7 : silver \| arumugam k. pandian \| weightlifting \| men's 56 kg-snatch row 8 : silver \| arumugam k. pandian \| weightlifting \| men's 56 kg-clean and jer row 9 : silver \| satheesha rai \| weightlifting \| men's 77 kg-clean and row 10 : silver \| satheesha rai \| weightlifting \| men's 77 kg-combined ] Execute this SQL based on the above table: select name order by sport limit 1950	aparna popat, jitender kumar, jaspal rana, jaspal rana satendra kumar, dharmaraj wilson, arumugam k. pandian, arumugam k. pandian, satheesha rai, satheesha rai
[ header: no. \| player \| position \| career \| date no. retired row 1 : 1 \| eddie giacomin \| g \| 1965-76 \| march 15, 1989 row 2 : 2 \| brian leetch \| d \| 1987-2004 \| january 24, 2008 row 3 : 3 \| harry howell \| d \| 1952-69 \| february 22, 2009 row 4 : 7 \| rod gilbert \| rw \| 1960-78 \| october 14, 1979 row 5 : 9 \| andy bathgate \| c \| 1954-64 \| february 22, 2009 row 6 : 9 \| adam graves \| lw \| 1991-2001 \| february 3, 2009 row 7 : 11 \| mark messier \| c \| 1991-97, 2000-04 \| january 12, 2006 row 8 : 35 \| mike richter \| g \| 1990-2003 \| february 4, 2004 row 9 : 99 \| wayne gretzky \| c \| 1996-99 \| february 6, 2000 ] Execute this SQL based on the above table: select count ( player ) where no. > ( select no. where player = 'wayne gretzky' )	0
[ header: institution \| location \| nickname \| founded \| type \| enrollment \| joined row 1 : aib college of business \| des moines, iowa \| eagles \| 1921 \| private \| 1000 \| 2010 row 2 : clarke university \| dubuque, iowa \| crusaders \| 1843 \| private/roman catholic \| 1230 \| 19881 row 3 : grand view university \| des moines, iowa \| vikings \| 1896 \| private/lutheran (elca \| 1750 \| 1989 row 4 : mount mercy university \| cedar rapids, iowa \| mustangs \| 1928 \| private/roman catholic \| 1490 \| 1988 row 5 : saint ambrose university \| davenport, iowa \| fighting bees (men's) queen \| 1882 \| private/roman catholic \| 3623 \| 1990 row 6 : viterbo university \| la crosse, wisconsin \| v-hawks \| 1923 \| private/roman catholic \| 2991 \| 1988 row 7 : william penn university \| oskaloosa, iowa \| statesmen (men's) lady statesmen \| 1873 \| private/quaker \| 1550 \| 2001 ] Execute this SQL based on the above table: select location where location = 'des moines, iowa' order by founded desc limit 1	des moines, iowa
[ header: title \| year \| channel \| role \| notes row 1 : parkinson \| 2002 \| bbc one \| herself \| performed "we will rock you" and "we row 2 : loose women \| 2007 \| itv \| elphaba \| performed "the wizard and i" row 3 : i'd do anything \| 2008 \| bbc one \| herself \| mentored potential nancys at the row 4 : royal variety performance \| 2008 \| bbc one \| herself \| performed "defying gravity" with bri row 5 : over the rainbow \| 2010 \| bbc one \| herself \| mentored potential dorothys at row 6 : big brother's little brother \| 2010 \| e4 \| herself \| interview row 7 : tonight's the night \| 2010 \| bbc one \| herself \| performed "wind beneath my wings" with contestant row 8 : this morning \| 2010 \| itv \| herself \| interview; performed "anthem" with bri row 9 : breakfast \| 2010 \| bbc one \| herself \| interview row 10 : proms in the park \| 2010 \| bbc red button \| herself \| performed "dangerland", "i'm row 11 : the wright stuff \| 2010 \| channel 5 \| herself \| special guest panelist row 12 : festival of remembrance \| 2010 \| bbc one \| herself \| performed "anthem" with brian may row 13 : only men aloud - merry \| 2010 \| s4c \| herself \| performed "somebody to love" with only men row 14 : breakfast \| 2011 \| bbc one \| herself \| interview with brian may row 15 : 2011 laurence olivier awards \| 2011 \| bbc red button \| herself \| performed "look to the rainbow" with barry row 16 : the alan titchmarsh \| 2011 \| itv \| herself \| performed "defying gravity" row 17 : fern \| 2011 \| channel 4 \| herself \| interview; performed "i love a butterfly" row 18 : the hour \| 2011 \| stv \| herself \| interview; performed "i love a butterfly" row 19 : fa community shield \| 2011 \| sky sports \| herself \| performed the british national anthem row 20 : sanremo music festival 2012 \| 2012 \| rai 1 \| herself \| performed "i (who have nothing)" and row 21 : the voice uk \| 2012 \| bbc one \| herself \| auditioned for the show's first series row 22 : foxes live: wild in the city \| 2012 \| channel 4 \| herself \| appeared in a short film about saving fox row 23 : live with \| 2012 \| channel 5 \| herself \| interview with jeff wayne row 24 : the wright stuff \| 2012 \| channel 5 \| herself \| special guest panelist row 25 : itv news london \| 2013 \| itv \| herself \| interview about tiger tracks and animal conservation with row 26 : the late late show \| 2013 \| rte one \| herself \| interview; performed "life is real" with row 27 : this morning \| 2013 \| itv \| herself \| interview; performed "born free" with bri row 28 : the alan titchmarsh \| 2013 \| itv \| herself \| interview; performed "the kissing me song" row 29 : sunday brunch \| 2013 \| channel 4 \| herself \| interview with brian may row 30 : big brother's bit on the side \| 2013 \| channel 5 \| herself \| surprise guest panelist ] Execute this SQL based on the above table: select count ( * ) where role = 2010	0
[ header: # \| stadium \| capacity \| city \| home team row 1 : 1 \| windsor park \| 24734 \| belfast \| linfield, northern ireland row 2 : 2 \| the oval \| 15000 \| belfast \| glentoran row 3 : 3= \| ballymena showgrounds \| 8000 \| ballymena \| ballymena united row 4 : 3= \| new grosvenor stadium \| 8000 \| ballyskeagh \| lisburn distillery row 5 : 3= \| shamrock park \| 8000 \| portadown \| portadown row 6 : 6 \| brandywell stadium \| 7700 \| derry \| derry city row 7 : 7= \| seaview \| 6500 \| belfast \| crusaders row 8 : 7= \| the showgrounds \| 6500 \| coleraine \| coleraine row 9 : 7= \| the showgrounds \| 6500 \| newry \| newry city row 10 : 10= \| inver park \| 6000 \| larne \| larne row 11 : 10= \| solitude \| 6000 \| belfast \| cliftonville row 12 : 10= \| taylors avenue \| 6000 \| carrickfergus \| carrick rangers row 13 : 13 \| dixon park \| 5333 \| ballyclare \| ballyclare comrades row 14 : 14 \| mourneview park \| 5000 \| lurgan \| glenavon row 15 : 15 \| donegal celtic park \| 4200 \| belfast \| donegal celtic row 16 : 16= \| holm park \| 3000 \| armagh \| armagh city row 17 : 16= \| lakeview park \| 3000 \| loughgall \| loughgall row 18 : 16= \| ymca grounds \| 3000 \| drumahoe \| institute row 19 : 16= \| stangmore park \| 3000 \| dungannon \| dungannon swifts row 20 : 16= \| tillysburn park \| 3000 \| belfast \| harland & wolff welder row 21 : 21 \| clandeboye park \| 2850 \| bangor \| bangor, ards row 22 : 22 \| wilgar park \| 2500 \| belfast \| dundela row 23 : 23= \| allen park \| 2000 \| antrim \| chimney corner row 24 : 23= \| ferney park \| 2000 \| ballinamallard \| ballinamallard united row 25 : 23= \| hagan park \| 2000 \| coagh \| coagh united row 26 : 23= \| mill meadow \| 2000 \| castledawson \| wakehurst, moyola park row 27 : 23= \| riada stadium \| 2000 \| ballymoney \| glebe rangers, ballymoney row 28 : 28= \| crystal park \| 1500 \| banbridge \| banbridge town row 29 : 28= \| fortwilliam park \| 1500 \| tobermore \| tobermore united row 30 : 28= \| newforge lane \| 1500 \| belfast \| psni row 31 : 28= \| the showgrounds (limavady) \| 1500 \| limavady \| limavady united row 32 : 32 \| tandragee road \| 1250 \| portadown \| annagh united row 33 : 33 \| darragh park \| 1200 \| castlederg \| dergview row 34 : 34= \| knockrammer park \| 1000 \| lurgan \| lurgan celtic row 35 : 34= \| mid ulster sports arena \| 1000 \| cookstown \| killymoon rangers row 36 : 36 \| seahaven \| 500 \| portstewart \| portstewart row 37 : 37 \| glen road heights \| 400 \| belfast \| sport & leisure swifts row 38 : 38 \| upper braniel \| 300 \| belfast \| knockbreda row 39 : 39 \| milltown playing fields \| 280 \| warrenpoint \| warrenpoint town row 40 : None \| upper malone \| None \| belfast \| queen's university ] Execute this SQL based on the above table: select count ( home team ) where capacity < 'None'	39
[ header: year \| competition \| venue \| position \| notes row 1 : 1985 \| european indoor championships \| athens, greece \| 1st \| long jump row 2 : 1986 \| european championships \| stuttgart, west germany \| 2nd \| long jump row 3 : 1987 \| european indoor championships \| lievin, france \| 2nd \| long jump row 4 : 1988 \| european indoor championships \| budapest, hungary \| 2nd \| long jump row 5 : 1988 \| summer olympics \| seoul, south korea \| 3rd \| long jump row 6 : 1989 \| european indoor championships \| the hague, netherlands \| 1st \| long jump row 7 : 1989 \| world indoor championships \| budapest, hungary \| 1st \| long jump row 8 : 1990 \| european indoor championships \| glasgow, scotland \| 1st \| long jump row 9 : 1990 \| european indoor championships \| glasgow, scotland \| 1st \| triple jump ] Execute this SQL based on the above table: select notes where year < 1989	long jump, long jump, long jump, long jump, long jump
[ header: represented \| contestant \| age \| height \| hometown row 1 : azua \| patricia tomas ferro \| 21 \| 1.78 m (5 ft 10 in \| santo domingo row 2 : com. dom. nueva york \| carol maria arciniegas j \| 20 \| 1.78 m (5 ft 10 in \| washington heights row 3 : dajabon \| elizabeth rondon garcia \| 18 \| 1.75 m (5 ft 9 in \| loma de cabrera row 4 : distrito nacional \| melanie pimentel de la \| 26 \| 1.69 m (5 ft 6 1 \| los alcarrizos row 5 : duverge \| yilda santana \| 22 \| 1.80 m (5 ft 10 3 \| santo domingo row 6 : hato mayor \| sarah maria reyes \| 20 \| 1.75 m (5 ft 9 in \| san cristobal row 7 : la romana \| suanny frontaan de la cruz \| 22 \| 1.82 m (5 ft 11 3 \| la romana row 8 : licey al medio \| ana carolina frometa cru \| 22 \| 1.77 m (5 ft 9 3 \| santiago de los caballe row 9 : moca \| cindy arias morton \| 25 \| 1.80 m (5 ft 10 3 \| moca row 10 : monte cristi \| carolina ayala cro \| 18 \| 1.71 m (5 ft 7 1 \| san felipe de puerto row 11 : neiba \| sandra castellanos de fermin \| 21 \| 1.76 m (5 ft 9 1 \| santo domingo row 12 : samana \| lucrecia vargas camacho \| 20 \| 1.74 m (5 ft 8 1 \| moca row 13 : san cristobal \| elisa mercedes \| 19 \| 1.74 m (5 ft 8 1 \| san cristobal row 14 : san francisco de macoris \| johanna del carmen espa \| 19 \| 1.76 m (5 ft 9 1 \| san francisco de macoris row 15 : san jose de las mata \| karina german fernandez \| 24 \| 1.77 m (5 ft 9 3 \| santiago de los caballe row 16 : san juan \| lizette de los santos \| 23 \| 1.78 m (5 ft 10 in \| san juan de la magu row 17 : santiago \| amelia victoria vega \| 17 \| 1.85 m (6 ft 3⁄ \| santiago de los caballe row 18 : santiago rodriguez \| martha zamora ta \| 20 \| 1.83 m (6 ft 0 \| santiago de los caballe row 19 : santo domingo oeste \| aurora sardena fiallo \| 25 \| 1.79 m (5 ft 10 1 \| santo domingo row 20 : valverde \| lourdes medina acosta \| 21 \| 1.72 m (5 ft 7 3 \| laguna salada ] Execute this SQL based on the above table: select represented where represented = 'san juan' order by hometown desc limit 1	san juan
[ header: tops design code \| electrical system \| max speed \| weight \| brakes \| route availability \| notes row 1 : 08-0av \| 90 v \| 20 mph (32 km/h) \| 49.8 te (496 k \| vacuum \| 5 \| None row 2 : 08-0bx \| 110 v \| 20 mph (32 km/h) \| 50.4 te (502 kn \| dual \| 5 \| None row 3 : 08-0ca \| 90 v \| 20 mph (32 km/h) \| 49.6 te (494 k \| air \| 5 \| None row 4 : 08-0dv \| 90 v \| 15 mph (24 km/h) \| 49.8 te (496 k \| vacuum \| 5 \| None row 5 : 08-0bx \| 90 v \| 15 mph (24 km/h) \| 50.4 te (502 kn \| dual \| 5 \| None row 6 : 08-0fa \| 90 v \| 15 mph (24 km/h) \| 49.6 te (494 k \| air \| 5 \| None row 7 : 08-0kx \| 110 v \| 15 mph (24 km/h) \| 50.4 te (502 kn \| dual \| 5 \| None row 8 : 08-0lx \| 110 v \| 15 mph (24 km/h) \| 50.4 te (502 kn \| dual \| 5 \| scharfenberg adapter fitted row 9 : 08-0ma \| 110 v \| 15 mph (24 km/h) \| 49.8 te (496 k \| air \| 5 \| None row 10 : 08-0na \| 90 v \| 15 mph (24 km/h) \| 49.8 te (496 k \| air \| 5 \| fitted with buckeye couplings row 11 : 08-0pa \| 90 v \| 15 mph (24 km/h) \| 51 te (508 kn) \| air \| 6 \| fitted with buckeye couplings row 12 : 08-0qa \| 90 v \| 15 mph (24 km/h) \| 51 te (508 kn) \| air \| 6 \| fitted with buckeye couplings row 13 : 08-0ra \| 110 v \| 15 mph (24 km/h) \| 51 te (508 kn) \| air \| 6 \| fitted with buckeye couplings row 14 : 08-0sa \| 110 v \| 15 mph (24 km/h) \| 49 te (488 kn) \| air \| 6 \| None ] Execute this SQL based on the above table: select notes order by electrical system limit 499	fitted with buckeye couplings, fitted with buckeye couplings, fitted with buckeye couplings, scharfenberg adapter fitted, fitted with buckeye couplings
[ header: rank \| athlete \| shooting score (pts) \| fencing victories (pts) \| swimming time (pts) \| riding penalties (pts) \| running time (pts) \| total row 1 : 4 \| deniss cerkovskis (l \| 180 (1096) \| 19 (916) \| 2:09.00 (1252) \| 196 (1004) \| 9:38.77 (1088) \| 5356 row 2 : 6 \| michal michalik (cze) \| 181 (1108) \| 18 (888) \| 2:08.51 (1260) \| 56 (1144) \| 10:17.68 (932) \| 5332 row 3 : 7 \| eric walther (ger) \| 168 (952) \| 16 (832) \| 2:02.03 (1336) \| 84 (1116) \| 9:39.36 (1084) \| 5320 row 4 : 9 \| vakhtang iagorashvil \| 171 (988) \| 19 (916) \| 2:09.11 (1252) \| 28 (1172) \| 10:13.95 (948) \| 5276 row 5 : 10 \| rustem sabizkhuzi \| 185 (1156) \| 18 (888) \| 2:12.02 (1216) \| 292 (908) \| 9:39.60 (1084) \| 5252 row 6 : 12 \| manuel pradillo (mex) \| 178 (1072) \| 15 (804) \| 2:07.07 (1276) \| 168 (1032) \| 9:57.68 (1012) \| 5196 row 7 : 14 \| niklaus brunisholz (su \| 180 (1096) \| 14 (776) \| 2:09.12 (1252) \| 196 (1004) \| 9:46.75 (1056) \| 5184 row 8 : 15 \| sebastien deleigne (fra \| 180 (1096) \| 15 (804) \| 2:12.27 (1216) \| 196 (1004) \| 9:45.31 (1060) \| 5180 row 9 : 16 \| qian zhenhua \| 185 (1156) \| 12 (720) \| 2:08.52 (1260) \| 56 (1144) \| 10:27.25 (892) \| 5172 row 10 : 18 \| akos kallai (hun \| 179 (1084) \| 18 (888) \| 2:14.64 (1188) \| 196 (1004) \| 10:08.75 (968) \| 5132 row 11 : 23 \| erik johansson (s \| 163 (892) \| 12 (720) \| 2:06.68 (1280) \| 84 (1116) \| 10:08.20 (968) \| 4976 row 12 : 26 \| enrico dell'amore ( \| 180 (1096) \| 18 (888) \| 2:16.63 (1164) \| 440 (760) \| 9:55.01 (1020) \| 4928 row 13 : 27 \| alexander parygin (aus) \| 169 (964) \| 13 (748) \| 2:14.14 (1192) \| 196 (1004) \| 10:01.57 (996) \| 4904 row 14 : 28 \| vasileios floros (gre \| 174 (1024) \| 10 (664) \| 2:04.40 (1308) \| 100 (1100) \| 11:02.25 (752) \| 4848 row 15 : 32 \| marcin horbacz (pol) \| 181 (1108) \| 18 (888) \| 2:04.43 (1308) \| 1088 (112) \| 10:07.46 (972) \| 4388 ] Execute this SQL based on the above table: select count ( athlete ) where total > 896	15
[ header: country \| weapon designation \| weapon description \| year(s) delivered \| quantity delivered row 1 : brazil \| ee-11 urutu \| apc \| 1983-1984 \| 350 row 2 : china \| f-6 \| fighter aircraft \| 1982-1983 \| 40 row 3 : china \| type-63 107mm \| multiple rocket launcher \| 1984-1988 \| 100 row 4 : china \| wz-121/type 69 \| tank \| 1983-1987 \| 1500 row 5 : china \| hn-5a \| portable sam \| 1986-1987 \| 1000 row 6 : czechoslovakia \| bmp-2 \| infantry fighting vehicle \| 1987-1989 \| 250 row 7 : czechoslovakia \| t-55 \| tank \| 1982-1985 \| 400 row 8 : denmark \| al zahraa \| landing ship \| 1983 \| 3 row 9 : east germany \| t-55 \| tank \| 1981 \| 50 row 10 : egypt \| m-46 130mm \| towed gun \| 1981-1983 \| 96 row 11 : france \| sa-330 puma \| helicopter \| 1980-1981 \| 20 row 12 : france \| m-3 vtt \| apc \| 1983-1984 \| 115 row 13 : france \| trs-2100 tiger \| air surv radar \| 1988 \| 1 row 14 : france \| trs-2230/15 tiger \| air surv radar \| 1984-1985 \| 6 row 15 : france \| am-39 exocet \| anti-ship missile \| 1979-1988 \| 352 row 16 : france \| as-30l \| asm \| 1986-1990 \| 240 row 17 : france \| r-550 magic-1 \| sraam \| 1981-1985 \| 534 row 18 : italy \| a-109 hirundo \| light helicopter \| 1982 \| 2 row 19 : poland \| t-72m1 \| tank \| 1982-1990 \| 500 row 20 : romania \| t-55 \| tank \| 1982-1984 \| 150 row 21 : yugoslavia \| m-87 orkan 262mm \| multiple rocket launcher \| 1988 \| 2 row 22 : united states \| md-500md defender \| light helicopter \| 1983 \| 30 row 23 : united states \| md-530f \| light helicopter \| 1986 \| 26 row 24 : soviet union \| mig-21bis/fishbed-n \| fighter aircraft \| 1983-1984 \| 61 row 25 : soviet union \| mig-23bn/flogger- \| fga aircraft \| 1984-1985 \| 50 row 26 : soviet union \| su-22/fitter-h/j/ \| fga aircraft \| 1986-1987 \| 61 row 27 : soviet union \| su-25/frogfoot-a \| ground attack aircraft \| 1986-1987 \| 84 row 28 : soviet union \| 9p117/ss-1 scu \| ssm launcher \| 1983-1984 \| 10 row 29 : soviet union \| bm-21 grad 122mm \| multiple rocket launcher \| 1983-1988 \| 560 row 30 : soviet union \| d-30 122mm \| towed gun \| 1982-1988 \| 576 row 31 : soviet union \| sa-9/9p31 \| aav(m) \| 1982-1985 \| 160 row 32 : soviet union \| long track \| air surv radar \| 1980-1984 \| 10 row 33 : soviet union \| sa-8b/9k33m \| mobile sam system \| 1982-1985 \| 50 row 34 : soviet union \| thin skin \| air surv radar \| 1980-1984 \| 5 row 35 : soviet union \| 9m111/at-4 spigot \| anti-tank missile \| 1986-1989 \| 3000 row 36 : soviet union \| 9m37/sa-13 gopher \| sam \| 1985-1986 \| 960 ] Execute this SQL based on the above table: select ( select quantity delivered where weapon description = 'ground attack aircraft' ) > ( select quantity delivered where weapon description = 'ssm launcher' )	1
[ header: parish est \| church \| city \| current bldg begun \| weekly collections \| notes row 1 : 1846 \| shrine of the immaculate conception \| atlanta \| 1869 \| $10,000 \| row 2 : 1880 \| sacred heart basilica \| atlanta \| 1897 \| $18,000 \| row 3 : 1903 \| saint anthony of padua cat \| atlanta \| 1911 \| None \| row 4 : 1912 \| our lady of lourdes catholic church \| atlanta \| 1960 \| None \| row 5 : 1936 \| cathedral of christ the king \| atlanta \| 1937 \| $70,000 \| row 6 : 1941 \| saint thomas more catholic church \| decatur \| 1952 \| $23,000 \| row 7 : 1951 \| our lady of the assumption catholic church \| atlanta \| 1957 \| $16,000 \| row 8 : 1954 \| saint paul of the cross catholic church \| atlanta \| 1957 \| None \| row 9 : 1958 \| immaculate heart of mary catholic church \| atlanta \| 2006 \| $26,000 \| row 10 : 1960 \| saint jude the apostle catholic church \| atlanta \| 1962 \| None \| row 11 : 1960 \| saint luke the evangelist \| dahlonega \| 1898 \| $4,500 \| row 12 : 1960 \| most blessed sacrament catholic church \| atlanta \| 1989 \| $4,000 \| row 13 : 1964 \| catholic church of the holy cross \| atlanta \| 1989 \| None \| row 14 : 1964 \| holy spirit catholic church \| atlanta \| 1977 \| None \| row 15 : 1965 \| our lady of perpetual help catholic church \| carrollton \| 1962 \| $9,000 \| row 16 : 1984 \| christ our hope catholic church \| lithonia \| 2000 \| None \| row 17 : 1999 \| saint francis de sales catholic church \| mableton \| 1999 \| None \| row 18 : 2000 \| saint brigid catholic church \| johns creek \| 2002 \| $50,000 \| ] Execute this SQL based on the above table: select count ( * ) where parish est = 1936	1
[ header: year \| title \| b-side \| mediums \| label (catalog) row 1 : 1996 \| "broke" \| "whenever i breathe out, you breathe \| 7" \| sub pop (sp0338) row 2 : 1997 \| "a life of arctic sounds" \| "medication" \| 7" \| suicide squeeze (ssr001003) row 3 : 1997 \| "birds vs. worms \| "every penny fed car", "four finger \| 7" \| hit or miss row 4 : 1998 \| "other people's lives" \| "grey ice water" \| 7" \| up records row 5 : 1998 \| "never ending math equation" \| "workin' on leavin' the \| 7" \| sub pop (sp0436) row 6 : 1998 \| "whenever you see fit" \| "whenever you see fit (dj \| 12", cd \| up records/suicide squeeze row 7 : 1999 \| "heart cooks brain" \| "shit luck" \| 7" \| matador records row 8 : 2004 \| "float on" \| "i've got it all (most) \| 7", cd \| epic (076685) row 9 : 2004 \| "ocean breathes salty" \| "float on (live studio)" \| cd \| epic row 10 : 2007 \| "dashboard" \| "king rat" \| 7", cd \| epic row 11 : 2007 \| "missed the boat" \| None \| digital \| epic row 12 : 2009 \| "satellite skin" \| "guilty cocker spaniels \| 7" \| epic row 13 : 2009 \| "autumn beds" \| "whale song" \| 7" \| epic row 14 : 2009 \| "perpetual motion machine" \| "history sticks to your feet" \| 7" \| epic ] Execute this SQL based on the above table: select year where year in ( 1998 , 1998 ) order by year desc limit 1	1998
[ header: community \| airport name \| type \| coordinates row 1 : antil plains \| antil plains aerodrome \| military \| 19°26′36′′s 146° row 2 : eagle farm, brisban \| eagle farm airport \| military/public \| 27°25′30′′s 153° row 3 : charters towers \| breddan aerodrome \| military \| 19°56′34′′s 146° row 4 : petrie, brisbane \| petrie airfield \| military \| 27°17′s 153°00′ row 5 : tarampa \| tarampa airfield \| military \| 27°27′19′′s 152° row 6 : townsville \| aitkenvale aerodrome \| military \| 19°18′45′′s 146° row 7 : townsville \| bohle river aerodrome \| military \| 19°16′58′′s 146° row 8 : townsville \| reid river airfield \| military \| 19°45′45′′s 146° ] Execute this SQL based on the above table: select coordinates where id <= 10 group by coordinates order by count ( * ) desc limit 1	27°27′19′′s 152°28′56′′e / 27.45528°s 152.48222°e
[ header: code \| year row 1 : a \| 1927 row 2 : b \| 1928 row 3 : c \| 1929 row 4 : ch \| 1930 row 5 : d \| 1931 row 6 : e \| 1932 row 7 : f \| 1933 row 8 : g \| 1934 row 9 : h \| 1935 row 10 : i \| 1936 row 11 : j \| 1937 row 12 : k \| 1938 row 13 : l \| 1939 row 14 : ll \| 1940 row 15 : m \| 1941 row 16 : n \| 1942 row 17 : n \| 1943 row 18 : o \| 1944 row 19 : p \| 1945 row 20 : q \| 1946 row 21 : r \| 1947 row 22 : s \| 1948 row 23 : t \| 1949 row 24 : u \| 1950 row 25 : v \| 1951 row 26 : x \| 1952 row 27 : y \| 1953 row 28 : z \| 1954 row 29 : a1 \| 1955 row 30 : b1 \| 1956 row 31 : c1 \| 1957 row 32 : ch1 \| None row 33 : d1 \| 1958 row 34 : e1 \| 1959 row 35 : f1 \| 1960 row 36 : g1 \| 1961 row 37 : h1 \| 1962 row 38 : i1 \| 1963 row 39 : j1 \| 1964 row 40 : k1 \| 1965 row 41 : l1 \| 1966 row 42 : ll1 \| None row 43 : m1 \| 1967 row 44 : n1 \| 1968 row 45 : n1 \| 1969 row 46 : o1 \| 1970 row 47 : p1 \| 1971 row 48 : q1 \| 1972 row 49 : r1 \| 1973 row 50 : s1 \| 1974 row 51 : t1 \| 1975 row 52 : u1 \| 1976 row 53 : v1 \| 1977 row 54 : x1 \| 1978 row 55 : y1 \| 1979 row 56 : z1 \| 1980 row 57 : a2 \| 1981 row 58 : b2 \| 1982 row 59 : c2 \| 1983 row 60 : ch2 \| None row 61 : d2 \| 1984 row 62 : e2 \| 1985 row 63 : f2 \| 1986 row 64 : g2 \| 1987 row 65 : h2 \| 1988 row 66 : i2 \| 1989 row 67 : j2 \| 1990 row 68 : k2 \| 1991 row 69 : l2 \| 1992 row 70 : ll2 \| None row 71 : m2 \| 1993 row 72 : n2 \| 1994 row 73 : n2 \| 1995 row 74 : o2 \| 1996 row 75 : p2 \| 1997 row 76 : q2 \| 1998 row 77 : r2 \| 1999 row 78 : s2 \| 2000 row 79 : t2 \| 2001 row 80 : u2 \| 2002 row 81 : v2 \| 2003 row 82 : x2 \| 2004 row 83 : y2 \| 2005 row 84 : z2 \| 2006 ] Execute this SQL based on the above table: select code where code in ( 'l2' , 'f1' ) order by year asc limit 1997	f1, l2
[ header: year \| division \| league \| regular season \| playoffs \| open cup row 1 : 2004 \| 4 \| usl pdl \| 8th, mid south \| did not qualify \| did not qualify row 2 : 2005 \| 4 \| usl pdl \| 2nd, mid south \| conference finals \| did not qualify row 3 : 2006 \| 4 \| usl pdl \| 1st, mid south \| national final \| 1st round row 4 : 2007 \| 4 \| usl pdl \| 1st, mid south \| champions \| did not qualify row 5 : 2008 \| 4 \| usl pdl \| 2nd, mid south \| national final \| did not qualify row 6 : 2009 \| 4 \| usl pdl \| 1st, mid south \| conference finals \| did not qualify row 7 : 2010 \| 4 \| usl pdl \| 1st, mid south \| conference semi-final \| did not qualify row 8 : 2011 \| 4 \| usl pdl \| 1st, mid south \| national final \| did not qualify row 9 : 2012 \| 4 \| usl pdl \| 1st, mid south \| conference semi-final \| 2nd round row 10 : 2013 \| 4 \| usl pdl \| 2nd, mid south \| conference finals \| 2nd round ] Execute this SQL based on the above table: select count ( year )	10
[ header: name \| gauge \| builder \| type \| date \| works number \| notes row 1 : no.774 \| 2 ft (610 mm) \| baguley \| 4wpm \| 1919 \| 774 \| undergoing restoration, not on display, purchased 1998 row 2 : dot \| 18 in (457 mm) \| beyer peacock \| 0-4-0wt \| 1887 \| 2817 \| built for the internal gorton locomotive works of be row 3 : rough pup \| 2 ft (610 mm) \| hunslet \| 0-4-0st \| 1891 \| 541 \| built for the dinorwic quarry railway. row 4 : no. 13 \| 1 ft 10 in (560 mm \| william spence ltd \| 0-4-0t \| 1895 \| None \| one of a fleet of overtype locomotives row 5 : george henry \| 1 ft 10 3⁄4 in (5 \| de winton \| 0-4-0vb \| 1877 \| None \| ex-penrhyn quarry locomotive. row 6 : jubilee 1897 \| 1 ft 11 1⁄2 in (5 \| manning wardle \| 0-4-0st \| 1897 \| 1382 \| built for the cilgwyn quarry in row 7 : dundee gasworks no.2 \| 1 ft 11 1⁄2 in (5 \| kerr stuart \| 0-4-0wt \| 1907 \| 720 \| built for the dundee gasworks railway ] Execute this SQL based on the above table: select count ( * ) where builder = 'de winton'	1
[ header: pos \| no. \| driver \| team \| laps \| time/retired \| grid \| laps led \| points row 1 : 2 \| 4 \| j. r. hilde \| panther racing \| 200 \| 2.1086 \| 12 \| 7 \| 44 row 2 : 3 \| 38 \| graham rahal \| chip ganassi racing \| 200 \| 5.5949 \| 29 \| 6 \| 38 row 3 : 4 \| 82 \| tony kanaan \| kv racing technology - lotus \| 200 \| 7.487 \| 22 \| 0 \| 36 row 4 : 5 \| 9 \| scott dixon (w)1 \| chip ganassi racing \| 200 \| 9.5434 \| 2 \| 73 \| 45 row 5 : 7 \| 30 \| bertrand baguette \| rahal letterman lanigan racing \| 200 \| 23.9631 \| 14 \| 11 \| 30 row 6 : 9 \| 26 \| marco andretti \| andretti autosport \| 200 \| 25.7411 \| 27 \| 0 \| 25 row 7 : 12 \| 10 \| dario franchitti (w) \| chip ganassi racing \| 200 \| 56.4167 \| 9 \| 51 \| 24 row 8 : 14 \| 12 \| will power \| team penske \| 199 \| +1 lap \| 5 \| 0 \| 26 row 9 : 15 \| 14 \| vitor meira \| a. j. foyt enterprises \| 199 \| +1 lap \| 11 \| 0 \| 19 row 10 : 17 \| 3 \| helio castroneves (w \| team penske \| 199 \| +1 lap \| 16 \| 0 \| 17 row 11 : 18 \| 44 \| buddy rice (w) \| panther racing \| 198 \| +2 laps \| 7 \| 0 \| 20 row 12 : 19 \| 19 \| alex lloyd \| dale coyne racing \| 198 \| +2 laps \| 30 \| 0 \| 15 row 13 : 20 \| 36 \| pippa mann (r) \| conquest racing \| 198 \| +2 laps \| 31 \| 0 \| 15 row 14 : 21 \| 24 \| ana beatriz \| dreyer & reinbold racing \| 197 \| +3 laps \| 32 \| 0 \| 15 row 15 : 22 \| 43 \| john andretti \| andretti autosport \| 197 \| +3 laps \| 17 \| 0 \| 16 row 16 : 24 \| 11 \| davey hamilton \| dreyer & reinbold racing \| 193 \| +7 laps \| 15 \| 0 \| 16 row 17 : 25 \| 23 \| paul tracy \| dreyer & reinbold racing \| 175 \| +25 laps \| 24 \| 0 \| 13 row 18 : 26 \| 99 \| townsend bell \| sam schmidt motorsports \| 157 \| contact \| 4 \| 0 \| 21 row 19 : 28 \| 77 \| alex tagliani \| sam schmidt motorsports \| 147 \| contact \| 1 \| 20 \| 25 row 20 : 29 \| 6 \| james hinchcliffe (r) \| newman/haas racing \| 99 \| contact \| 13 \| 0 \| 14 row 21 : 31 \| 78 \| simona de silvestro \| hvm racing \| 44 \| handling \| 23 \| 0 \| 14 row 22 : 33 \| 5 \| takuma sato \| kv racing technology - lotus \| 20 \| contact \| 10 \| 0 \| 14 ] Execute this SQL based on the above table: select driver where no. = 99	townsend bell
[ header: name \| street address \| years as tallest \| height ft (m) \| floors row 1 : globe building \| 4th street south \| 1882-1886 \| 157 (48) \| 8 row 2 : lumber exchange building \| 10 5th street south \| 1886-1887 \| 165 (50) \| 12 row 3 : industrial exposition building \| central avenue southeast and main street southeast \| 1887-1890 \| 240 (73) \| 8 row 4 : metropolitan building \| 308 2nd avenue south \| 1890-1895 \| 258 (79) \| 12 row 5 : minneapolis city hall \| 350 5th street south \| 1895-1929 \| 341 (104) \| 14 row 6 : foshay tower \| 821 marquette avenue \| 1929-1973 \| 448 (137) \| 32 row 7 : ids tower \| 80 8th street south \| 1973-present \| 792 (241) \| 55 ] Execute this SQL based on the above table: select name where name not null order by id desc limit 1	ids tower
[ 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 ( select prize money (usd) where name = 'lucas' ) - ( select prize money (usd) where name = 'lucas' )	0.0
[ header: # \| date \| winner \| score \| location \| notes row 1 : 47 \| december 31, 1971 \| west \| 17-13 \| san francisco, ca \| None row 2 : 48 \| december 30, 1972 \| east \| 9-3 \| san francisco, ca \| None row 3 : 49 \| december 29, 1973 \| east \| 35-7 \| san francisco, ca \| None row 4 : 50 \| december 28, 1974 \| east \| 16-14 \| stanford, ca \| None row 5 : 51 \| january 3, 1976 \| west \| 21-14 \| stanford, ca \| None row 6 : 53 \| december 31, 1977 \| west \| 23-3 \| stanford, ca \| None row 7 : 54 \| january 6, 1979 \| east \| 56-17 \| stanford, ca \| None row 8 : 56 \| january 10, 1981 \| east \| 21-3 \| stanford, ca \| None row 9 : 57 \| january 9, 1982 \| west \| 20-13 \| stanford, ca \| None row 10 : 58 \| january 15, 1983 \| east \| 26-25 \| stanford, ca \| None row 11 : 59 \| january 7, 1984 \| east \| 27-19 \| stanford, ca \| None row 12 : 60 \| january 5, 1985 \| west \| 21-10 \| stanford, ca \| None row 13 : 61 \| january 11, 1986 \| east \| 18-7 \| stanford, ca \| None row 14 : 62 \| january 10, 1987 \| west \| 24-21 \| stanford, ca \| None row 15 : 64 \| january 15, 1989 \| east \| 24-6 \| stanford, ca \| None row 16 : 65 \| january 21, 1990 \| west \| 22-21 \| stanford, ca \| None row 17 : 66 \| january 26, 1991 \| west \| 24-21 \| stanford, ca \| None row 18 : 67 \| january 19, 1992 \| west \| 14-6 \| stanford, ca \| None row 19 : 68 \| january 24, 1993 \| east \| 31-17 \| stanford, ca \| None row 20 : 69 \| january 15, 1994 \| west \| 29-28 \| stanford, ca \| None row 21 : 70 \| january 14, 1995 \| west \| 30-28 \| stanford, ca \| None row 22 : 73 \| january 10, 1998 \| west \| 24-7 \| stanford, ca \| None row 23 : 75 \| january 15, 2000 \| east \| 35-21 \| stanford, ca \| None row 24 : 77 \| january 12, 2002 \| west \| 21-13 \| san francisco, ca \| None row 25 : 78 \| january 11, 2003 \| east \| 20-17 \| san francisco, ca \| None row 26 : 79 \| january 10, 2004 \| west \| 28-7 \| san francisco, ca \| None row 27 : 80 \| january 15, 2005 \| east \| 45-27 \| san francisco, ca \| None row 28 : 81 \| january 21, 2006 \| west \| 35-31 \| san antonio, \| None row 29 : 82 \| january 20, 2007 \| west \| 21-3 \| houston, tx \| None row 30 : 83 \| january 19, 2008 \| west \| 31-13 \| houston, tx \| None row 31 : 84 \| january 17, 2009 \| east \| 24-19 \| houston, tx \| None row 32 : 85 \| january 23, 2010 \| east \| 13-10 \| orlando, fl \| notes row 33 : 86 \| january 22, 2011 \| east \| 25-8 \| orlando, fl \| notes row 34 : 87 \| january 21, 2012 \| west \| 24-17 \| st. petersburg, f \| notes row 35 : 89 \| january 18, 2014 \| east \| 23-13 \| st. petersburg, f \| notes ] Execute this SQL based on the above table: select date order by # desc limit 1	january 18, 2014
[ header: riding \| candidate \| gender \| residence \| occupation \| votes \| % \| rank \| biographical notes row 1 : cape breton-canso \| mark macneill \| m \| inverness \| government and business policy advisor \| 7660 \| 21.1 \| 3rd \| served in ottawa as a row 2 : central nova \| mary louise lorefice \| f \| antigonish \| retired educator \| 7659 \| 19.6 \| 3rd \| lorefice is a retired teacher row 3 : cumberland-colchester-musquod \| karen olsson \| f \| north river \| stay-at-home mother \| 4874 \| 12.3 \| 2nd \| None row 4 : dartmouth-cole harbour \| brad pye \| m \| ottawa, on \| senior political party program officer \| 12793 \| 31.5 \| 2nd \| pye is an international development worker and row 5 : halifax \| megan leslie \| f \| halifax \| community legal worker \| 19252 \| 42.7 \| 1st \| None row 6 : halifax west \| tamara lorincz \| f \| halifax \| director of nova scotia environment \| 12201 \| 29.6 \| 2nd \| an environmentalist row 7 : kings-hants \| carol e. harris \| f \| wolfville \| university professor \| 8291 \| 22 \| 3rd \| she was the ndp's candidate in row 8 : sackville-eastern shore \| peter stoffer \| m \| windsor junction \| parliamentarian \| 24279 \| 61.4 \| 1st \| stoffer has been the incumbent mp since row 9 : south shore-st. margaret \| gordon s. earle \| m \| upper tantallon \| retired public servant \| 13456 \| 33.7 \| 2nd \| earle is the former federal mp for row 10 : sydney-victoria \| wayne mckay \| m \| sydney \| teacher \| 8559 \| 24.4 \| 2nd \| None row 11 : west nova \| george barron \| m \| bear river \| paramedic \| 7097 \| 16.9 \| 3rd \| barron was born near paris, on ] Execute this SQL based on the above table: select occupation where rank = '2nd' order by id desc limit 1	teacher
[ 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 result group by result order by count ( * ) asc limit 1	1-3
[ header: network name \| flagship \| programming type \| owner \| affiliates row 1 : canal de las estrellas \| xew 2 \| soap operas, retro movies and sports \| televisa \| 5 row 2 : canal 5 \| xhgc 5 \| cartoons, movies, and series \| televisa \| 4 row 3 : tv mas \| xhgv 4 \| educational and cultural \| gobierno de veracruz \| 8 row 4 : azteca 7 \| xhimt 7 \| movies, series, and sports \| tv azteca \| 3 row 5 : galavision \| xeq 9 \| retro and sports \| televisa \| 2 row 6 : once tv \| xeipn 11 \| educational \| instituto politecnico nac \| 2 row 7 : azteca 13 \| xhdf 13 \| news, soap operas, and sports \| tv azteca \| 4 row 8 : televisa regional \| None \| select from televisa networks \| televisa \| 2 ] Execute this SQL based on the above table: select programming type where owner = 'televisa'	soap operas, retro movies and sports, cartoons, movies, and series, retro and sports, select from televisa networks
[ header: selected latin american countries \| internl. tourism arrivals 2010 (x 1000) \| internl. tourism receipts. 2010 (usd (x1000) \| average receipt per visitor 2009 (usd/turista) \| tourist arrivals per 1000 inhab (estimated) 2007 \| receipts per capita 2005 usd \| revenues as % exports of goods and services 2003 \| tourism income % gdp 2003 \| % direct and indirect employment in tourism 2005 \| world ranking tourism competitiv. ttci 2011 \| 2011 ttci index row 1 : argentina \| 5288 \| 4930 \| 932 \| 115 \| 57 \| 7.4 \| 1.8 \| 9.1 \| 60 \| 4.2 row 2 : brazil \| 5161 \| 5919 \| 1147 \| 26 \| 18 \| 3.2 \| 0.5 \| 7 \| 52 \| 4.36 row 3 : chile \| 2766 \| 1636 \| 591 \| 151 \| 73 \| 5.3 \| 1.9 \| 6.8 \| 57 \| 4.27 row 4 : costa rica \| 2100 \| 2111 \| 1005 \| 442 \| 343 \| 17.5 \| 8.1 \| 13.3 \| 44 \| 4.43 row 5 : cuba \| 2507 \| None \| None \| 188 \| 169 \| None \| None \| None \| None \| None row 6 : dominican republic \| 4125 \| 4240 \| 1028 \| 408 \| 353 \| 36.2 \| 18.8 \| 19.8 \| 72 \| 3.99 row 7 : mexico \| 22395 \| 11872 \| 530 \| 201 \| 103 \| 5.7 \| 1.6 \| 14.2 \| 43 \| 4.43 row 8 : panama \| 1317 \| 1676 \| 1273 \| 330 \| 211 \| 10.6 \| 6.3 \| 12.9 \| 56 \| 4.3 row 9 : peru \| 2299 \| 2274 \| 989 \| 65 \| 41 \| 9 \| 1.6 \| 7.6 \| 69 \| 4.04 row 10 : uruguay \| 2352 \| 1496 \| 636 \| 525 \| 145 \| 14.2 \| 3.6 \| 10.7 \| 58 \| 4.24 ] Execute this SQL based on the above table: select average receipt per visitor 2009 (usd/turista) order by id asc limit 335	932, 1147, 591, 1005, 1028, 530, 1273, 989, 636
[ header: county \| feinstein \| votes \| seymour \| votes \| horne \| votes \| meeu. \| votes \| boddie \| votes \| w/i \| v's row 1 : san mateo \| 67.25% \| 181,990 \| 27.89% \| 75,470 \| 1.84% \| 4,983 \| 1.29% \| 3,478 \| 1.73% \| 4,684 \| 0.00% \| 0 row 2 : contra costa \| 62.96% \| 229,988 \| 31.62% \| 115,507 \| 1.92% \| 7,011 \| 1.77% \| 6,470 \| 1.73% \| 6,320 \| 0.00% \| 2 row 3 : sonoma \| 62.84% \| 121,471 \| 29.38% \| 56,793 \| 3.02% \| 5,846 \| 2.43% \| 4,702 \| 2.33% \| 4,502 \| 0.00% \| 0 row 4 : santa clara \| 62.19% \| 364,997 \| 30.98% \| 181,858 \| 2.15% \| 12,646 \| 2.20% \| 12,912 \| 2.47% \| 14,518 \| 0.00% \| 2 row 5 : monterey \| 58.89% \| 66,417 \| 34.74% \| 39,182 \| 2.10% \| 2,369 \| 2.30% \| 2,590 \| 1.96% \| 2,216 \| 0.00% \| 0 row 6 : los angeles \| 58.72% \| 1,552,223 \| 34.03% \| 899,656 \| 3.18% \| 84,093 \| 2.09% \| 55,380 \| 1.97% \| 52,123 \| 0.00% \| 20 row 7 : napa \| 57.01% \| 29,875 \| 35.38% \| 18,539 \| 2.46% \| 1,288 \| 2.93% \| 1,537 \| 2.22% \| 1,161 \| 0.00% \| 0 row 8 : del norte \| 50.92% \| 4,696 \| 39.66% \| 3,658 \| 2.56% \| 236 \| 4.98% \| 459 \| 1.89% \| 174 \| 0.00% \| 0 row 9 : merced \| 47.61% \| 22,010 \| 43.79% \| 20,246 \| 2.79% \| 1,289 \| 2.95% \| 1,365 \| 2.86% \| 1,323 \| 0.00% \| 0 row 10 : nevada \| 46.04% \| 20,044 \| 44.73% \| 19,476 \| 2.90% \| 1,261 \| 3.32% \| 1,444 \| 3.02% \| 1,313 \| 0.00% \| 0 row 11 : placer \| 45.75% \| 40,511 \| 45.73% \| 40,497 \| 2.38% \| 2,109 \| 3.30% \| 2,920 \| 2.84% \| 2,518 \| 0.00% \| 0 row 12 : mariposa \| 45.38% \| 3,681 \| 43.98% \| 3,568 \| 3.09% \| 251 \| 5.07% \| 411 \| 2.48% \| 201 \| 0.00% \| 0 row 13 : sierra \| 45.12% \| 818 \| 44.57% \| 808 \| 2.48% \| 45 \| 3.47% \| 63 \| 4.36% \| 79 \| 0.00% \| 0 row 14 : mono \| 45.11% \| 1,931 \| 44.64% \| 1,911 \| 2.83% \| 121 \| 3.95% \| 169 \| 3.48% \| 149 \| 0.00% \| 0 row 15 : butte \| 44.72% \| 37,396 \| 45.57% \| 38,111 \| 2.96% \| 2,477 \| 3.56% \| 2,980 \| 3.19% \| 2,666 \| 0.00% \| 0 row 16 : trinity \| 42.41% \| 2,743 \| 43.66% \| 2,824 \| 3.80% \| 246 \| 6.29% \| 407 \| 3.83% \| 248 \| 0.00% \| 0 row 17 : yuba \| 40.76% \| 6,890 \| 46.63% \| 7,882 \| 3.07% \| 518 \| 6.09% \| 1,030 \| 3.45% \| 584 \| 0.00% \| 0 ] Execute this SQL based on the above table: select count ( county )	17
[ header: week \| date \| opponent \| result \| record \| attendance \| bye row 1 : 1 \| september 11, 2005 \| indianapolis colts \| l 24-7 \| 0-1-0 \| 70501 \| 0 row 2 : 2 \| september 18, 2005 \| at tennessee titans \| l 25-10 \| 0-2-0 \| 69149 \| 0 row 3 : 3 \| None \| None \| None \| None \| None \| 1 row 4 : 4 \| october 2, 2005 \| new york jets \| w 13-3 \| 1-2-0 \| 70479 \| 0 row 5 : 5 \| october 9, 2005 \| at detroit lions \| l 35-17 \| 1-3-0 \| 61201 \| 0 row 6 : 6 \| october 16, 2005 \| cleveland browns \| w 16-3 \| 2-3-0 \| 70196 \| 0 row 7 : 7 \| october 23, 2005 \| at chicago bears \| l 10-6 \| 2-4-0 \| 62102 \| 0 row 8 : 8 \| october 31, 2005 \| at pittsburgh steelers \| l 20-19 \| 2-5-0 \| 64178 \| 0 row 9 : 9 \| november 6, 2005 \| cincinnati bengals \| l 21-9 \| 2-6-0 \| 70540 \| 0 row 10 : 10 \| november 13, 2005 \| at jacksonville jaguars \| l 30-3 \| 2-7-0 \| 66107 \| 0 row 11 : 11 \| november 20, 2005 \| pittsburgh steelers \| w 16-13 ot \| 3-7-0 \| 70601 \| 0 row 12 : 12 \| november 27, 2005 \| at cincinnati bengals \| l 42-29 \| 3-8-0 \| 65680 \| 0 row 13 : 13 \| december 4, 2005 \| houston texans \| w 16-15 \| 4-8-0 \| 69909 \| 0 row 14 : 14 \| december 11, 2005 \| at denver broncos \| l 12-10 \| 4-9-0 \| 75651 \| 0 row 15 : 15 \| december 19, 2005 \| green bay packers \| w 48-3 \| 5-9-0 \| 70604 \| 0 row 16 : 16 \| december 25, 2005 \| minnesota vikings \| w 30-23 \| 6-9-0 \| 70246 \| 0 row 17 : 17 \| january 1, 2006 \| at cleveland browns \| l 20-16 \| 6-10-0 \| 69871 \| 0 ] Execute this SQL based on the above table: select count ( record ) where attendance > ( select attendance where opponent = 'houston texans' )	8
[ header: model \| origin \| type \| versions \| in service \| notes row 1 : vought f-8 crusa \| united states \| air superiority fighter/interceptor aircraft \| f-8p \| 35 \| placed in open storage 1988-01-23 at bas row 2 : northrop f-5 freedom fighter \| united states \| fighter/bomber \| f-5a f-5b \| 37 \| retired. the 10 remaining f-5s, row 3 : north american f-86 sabre \| united states \| fighter/bomber \| f-86f f-86d \| 50 20 \| replaced by the northrop f-5a row 4 : north american p-51 mustang \| united states \| fighter \| p-51d \| 103 \| paf's 1950s fighter, replaced by row 5 : north american t-28 trojan \| united states \| trainer/light strike aircraft \| t-28a t-28d \| 20 24 \| replaced by ov-10 bronco row 6 : north american t-6 texan \| united states \| trainer aircraft \| None \| 38 \| None row 7 : beechcraft t-34 mentor \| united states \| trainer aircraft \| None \| 36 \| replaced by the sf-260 row 8 : lockheed t-33 shooting star \| united states \| trainer aircraft \| t-33a rt-33 \| 25 2 \| replaced by the s-211 row 9 : douglas ac-47 s \| united states \| close air support aircraft \| None \| 11 \| None row 10 : douglas c-47 skytrain \| united states \| military transport aircraft \| None \| None \| replaced by the c-130 row 11 : de havilland canada dhc \| canada \| military transport aircraft \| None \| None \| replaced by the c-130 row 12 : grumman hu-16 albatros \| united states \| military transport aircraft \| hu-16b \| 6 \| None row 13 : namc ys-11 \| japan \| vip transport \| None \| None \| None row 14 : stinson l-5 sentine \| united states \| liaison aircraft \| None \| None \| None row 15 : sikorsky s-62 \| united states japan \| multipurpose utility helicopter multipurpose utility helicopter vip \| s-62a s-62j \| 1 2 \| None row 16 : sikorsky h-34 \| united states \| sar helicopter \| None \| None \| None row 17 : sikorsky h-19 \| united states \| None \| None \| None \| None row 18 : bell 212 \| united states \| utility helicopter \| None \| 1 \| a presidential aircraft that crashed in bengue row 19 : aerospatiale sa 330 \| france \| presidential helicopter \| sa 330l \| 2 \| None ] Execute this SQL based on the above table: select origin where notes = 'replaced by the northrop f-5a'	united states
[ header: season \| club \| league \| apps \| goals row 1 : 2003-04 \| podgrmec \| fbih first league \| 23 \| 16 row 2 : 2004-05 \| nk zagreb \| prva hnl \| 26 \| 3 row 3 : 2005-06 \| nk zagreb \| prva hnl \| 25 \| 3 row 4 : 2006-07 \| nk zagreb \| prva hnl \| 17 \| 4 row 5 : 2007-08 \| nk zagreb \| prva hnl \| 31 \| 12 row 6 : 2008-09 \| hajduk split \| prva hnl \| 30 \| 12 row 7 : 2009-10 \| hajduk split \| prva hnl \| 29 \| 17 row 8 : 2010-11 \| hajduk split \| prva hnl \| 17 \| 6 row 9 : 2011-12 \| lokomotiv \| rfpl \| 28 \| 4 row 10 : 2012-13 \| gaziantepspor \| super lig \| 1 \| 1 ] Execute this SQL based on the above table: select count ( club ) where apps > 165	0
[ header: # \| player \| country \| score \| to par \| money ($) row 1 : 1 \| louise suggs \| united states \| 78-75-75-74=302 \| +14 \| 900 row 2 : 2 \| patty berg \| united states \| 79-77-73-74=303 \| +15 \| 675 row 3 : t3 \| betsy rawls \| united states \| 79-75-72-80=306 \| +18 \| 445 row 4 : t3 \| mickey wright \| united states \| 80-79-74-73=306 \| +18 \| 445 row 5 : 5 \| betty jameson \| united states \| 80-74-77-78=309 \| +21 \| 405 row 6 : t6 \| mary lena faulk \| united states \| 82-79-74-76=3 \| +23 \| 338 row 7 : t6 \| beverly hanson \| united states \| 84-75-75-77=311 \| +23 \| 338 row 8 : t8 \| fay crocker \| uruguay \| 92-70-76-75=3 \| +25 \| 248 row 9 : t8 \| marlene hagge \| united states \| 78-80-79-76=3 \| +25 \| 248 row 10 : t10 \| vonnie colby \| united states \| 80-79-78-78=315 \| +27 \| 113 row 11 : t10 \| joyce ziske \| united states \| 83-82-77-73=3 \| +27 \| 113 ] Execute this SQL based on the above table: select sum ( to par )	236.0
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 1 may 2000 \| rasmee dhandu \| maldives \| 1-1 \| 1-1 \| 2000 mff golden jubile row 2 : 2 \| 25 august 2000 \| ho chi minh city, vietnam \| vietnam \| 2-1 \| 2-2 \| 2000 hcm cup row 3 : 3 \| 28 march 2001 \| colombo, sri lan \| cambodia \| 1-0 \| 1-0 \| friendly row 4 : 5 \| 30 may 2001 \| suphachalasai stadium, ban \| pakistan \| 1-0 \| 3-1 \| 2002 fifa world cup qualification (af row 5 : 6 \| 30 may 2001 \| supachalasai stadium \| pakistan \| 3-0 \| 3-1 \| 2002 fifa world cup qualification (af row 6 : 7 \| 4 april 2002 \| sugathadasa stadium, colo \| maldives \| 1-0 \| 1-0 \| friendly row 7 : 10 \| 3 december 2003 \| sugathadasa stadium, colo \| laos \| 2-0 \| 3-0 \| 2006 fifa world cup qualification (af row 8 : 12 \| 12 april 2006 \| ma aziz stadium, chittagong \| nepal \| 1-0 \| 1-1 \| 2006 afc challenge cup row 9 : 13 \| 24 march 2007 \| sugathadasa stadium, colo \| malaysia \| 1-4 \| 1-4 \| friendly row 10 : 14 \| 2 april 2008 \| chungshan stadium, tai \| guam \| 5-1 \| 5-1 \| 2008 afc challenge cup qualification row 11 : 15 \| 4 april 2008 \| chungshan stadium, tai \| pakistan \| 1-0 \| 7-1 \| 2008 afc challenge cup qualification row 12 : 16 \| 4 april 2008 \| chungshan stadium, tai \| pakistan \| 4-1 \| 7-1 \| 2008 afc challenge cup qualification row 13 : 17 \| 4 april 2008 \| chungshan stadium, tai \| pakistan \| 7-1 \| 7-1 \| 2008 afc challenge cup qualification row 14 : 19 \| 2 august 2008 \| gachibowli athletic stadium, \| myanmar \| 1-1 \| 1-3 \| 2008 afc challenge cup row 15 : 20 \| 4 april 2009 \| sugathadasa stadium, colo \| brunei \| 1-0 \| 5-1 \| 2010 afc challenge cup qualification row 16 : 21 \| 4 april 2009 \| sugathadasa stadium, colo \| brunei \| 3-0 \| 5-1 \| 2010 afc challenge cup qualification row 17 : 22 \| 4 april 2009 \| sugathadasa stadium, colo \| brunei \| 4-0 \| 5-1 \| 2010 afc challenge cup qualification row 18 : 23 \| 4 april 2009 \| sugathadasa stadium, colo \| brunei \| 5-0 \| 5-1 \| 2010 afc challenge cup qualification row 19 : 24 \| 6 april 2009 \| sugathadasa stadium, colo \| chinese taipei \| 1-0 \| 2-1 \| 2010 afc challenge cup qualification ] Execute this SQL based on the above table: select count ( opponent ) where # < 1	0
[ header: date \| race name \| location \| uci rating \| winner \| team row 1 : 16-21 january \| la tropicale amissa bongo \| gabon \| 2.2 \| frederic guesdon (fr \| francaise des jeux row 2 : 8-14 february \| tour d'egypte \| egypt \| 2.2 \| waylon woolcock (rsa) \| south africa (national team) row 3 : 16 february \| gp of sharm el \| egypt \| 1.2 \| jan sipeky (svk) \| dukla trencin-merida row 4 : 24 february-9 march \| tour du cameroun \| cameroon \| 2.2 \| flavien chipault (fra) \| leboulou row 5 : 6-11 march \| giro del capo \| south africa \| 2.2 \| alexander efimkin (rus \| barloworld row 6 : 17-23 march \| tour of libya \| libya \| 2.2 \| ahmed mohamed ali ( \| libya (national team) row 7 : 8 april \| grand prix de la ville de tunis \| tunisia \| 1.2 \| ahmed mraihi ( \| tunisia (national team) row 8 : 28 april-5 may \| tour de la pharmacie centrale de tunisie \| tunisia \| 2.2 \| hassen ben nasser ( \| pharmacie centrale row 9 : 14-20 may \| boucle du coton \| burkina faso \| 2.2 \| saidou rouamba (bur) \| burkina faso (national row 10 : 8-17 june \| tour du maroc \| morocco \| 2.2 \| nicholas white (rsa \| south africa (national team) row 11 : 30 august-8 september \| tour du senegal \| senegal \| 2.2 \| adil jelloul (mar) \| frmc-maroc row 12 : 16 september \| dome 2 dome cycling spectacular \| south africa \| 1.2 \| jaco venter (rsa) \| team neotel ] Execute this SQL based on the above table: select team where uci rating = '2.2'	francaise des jeux, south africa (national team), leboulou, barloworld, libya (national team), pharmacie centrale, burkina faso (national team), south africa (national team), frmc-maroc
[ header: year \| single \| chart \| position row 1 : 1999 \| "heavy" \| billboard hot 100 \| 73 row 2 : 1999 \| "heavy" \| mainstream rock tracks \| 1 row 3 : 1999 \| "heavy" \| modern rock tracks \| 5 row 4 : 1999 \| "run" \| billboard hot 100 \| 76 row 5 : 1999 \| "run" \| modern rock tracks \| 36 row 6 : 1999 \| "run" \| adult top 40 \| 12 row 7 : 1999 \| "no more, no less" \| mainstream rock tracks \| 10 row 8 : 1999 \| "no more, no less" \| modern rock tracks \| 32 row 9 : 1999 \| "tremble for my beloved" \| mainstream rock tracks \| 35 ] Execute this SQL based on the above table: select single order by year desc limit 1	"heavy"
[ header: country \| weapon designation \| weapon description \| year(s) delivered \| quantity delivered row 1 : brazil \| ee-11 urutu \| apc \| 1983-1984 \| 350 row 2 : china \| f-6 \| fighter aircraft \| 1982-1983 \| 40 row 3 : china \| type-63 107mm \| multiple rocket launcher \| 1984-1988 \| 100 row 4 : china \| wz-121/type 69 \| tank \| 1983-1987 \| 1500 row 5 : china \| hn-5a \| portable sam \| 1986-1987 \| 1000 row 6 : czechoslovakia \| bmp-2 \| infantry fighting vehicle \| 1987-1989 \| 250 row 7 : czechoslovakia \| t-55 \| tank \| 1982-1985 \| 400 row 8 : denmark \| al zahraa \| landing ship \| 1983 \| 3 row 9 : east germany \| t-55 \| tank \| 1981 \| 50 row 10 : egypt \| m-46 130mm \| towed gun \| 1981-1983 \| 96 row 11 : france \| sa-330 puma \| helicopter \| 1980-1981 \| 20 row 12 : france \| m-3 vtt \| apc \| 1983-1984 \| 115 row 13 : france \| trs-2100 tiger \| air surv radar \| 1988 \| 1 row 14 : france \| trs-2230/15 tiger \| air surv radar \| 1984-1985 \| 6 row 15 : france \| am-39 exocet \| anti-ship missile \| 1979-1988 \| 352 row 16 : france \| as-30l \| asm \| 1986-1990 \| 240 row 17 : france \| r-550 magic-1 \| sraam \| 1981-1985 \| 534 row 18 : italy \| a-109 hirundo \| light helicopter \| 1982 \| 2 row 19 : poland \| t-72m1 \| tank \| 1982-1990 \| 500 row 20 : romania \| t-55 \| tank \| 1982-1984 \| 150 row 21 : yugoslavia \| m-87 orkan 262mm \| multiple rocket launcher \| 1988 \| 2 row 22 : united states \| md-500md defender \| light helicopter \| 1983 \| 30 row 23 : united states \| md-530f \| light helicopter \| 1986 \| 26 row 24 : soviet union \| mig-21bis/fishbed-n \| fighter aircraft \| 1983-1984 \| 61 row 25 : soviet union \| mig-23bn/flogger- \| fga aircraft \| 1984-1985 \| 50 row 26 : soviet union \| su-22/fitter-h/j/ \| fga aircraft \| 1986-1987 \| 61 row 27 : soviet union \| su-25/frogfoot-a \| ground attack aircraft \| 1986-1987 \| 84 row 28 : soviet union \| 9p117/ss-1 scu \| ssm launcher \| 1983-1984 \| 10 row 29 : soviet union \| bm-21 grad 122mm \| multiple rocket launcher \| 1983-1988 \| 560 row 30 : soviet union \| d-30 122mm \| towed gun \| 1982-1988 \| 576 row 31 : soviet union \| sa-9/9p31 \| aav(m) \| 1982-1985 \| 160 row 32 : soviet union \| long track \| air surv radar \| 1980-1984 \| 10 row 33 : soviet union \| sa-8b/9k33m \| mobile sam system \| 1982-1985 \| 50 row 34 : soviet union \| thin skin \| air surv radar \| 1980-1984 \| 5 row 35 : soviet union \| 9m111/at-4 spigot \| anti-tank missile \| 1986-1989 \| 3000 row 36 : soviet union \| 9m37/sa-13 gopher \| sam \| 1985-1986 \| 960 ] Execute this SQL based on the above table: select max ( quantity delivered )	3000.0
[ header: date and time \| opponent \| location \| notes row 1 : 26 june 1918, 2035 hrs \| pfalz d.ii \| east of albert, somme \| None row 2 : 13 july 1918, 0857 hrs \| albatros d.v \| poperinghe \| None row 3 : 3 august 1918, 0930 hrs \| fokker d.vii \| southeast of ostend \| None row 4 : 13 august 1918, 1352 hrs \| fokker d.vii \| north of roye, somme \| flown by lothar von richthofen row 5 : 2 september 1918, 1150 hrs \| fokker d.vii \| south of rumaucourt \| None row 6 : 5 september 1918, 1720 hrs \| fokker d.vii \| saint-quentin, aisne \| None row 7 : 15 september 1918, 1050 hrs \| fokker d.vii \| epinoy \| None row 8 : 17 september 1918, 1300 hrs \| fokker d.vii \| epinoy \| None row 9 : 24 september 1918, 0728 hrs \| fokker d.vii \| west of cambrai \| None row 10 : 26 september 1918, 1325 hrs \| fokker d.vii \| east of bourlon wood \| None row 11 : 27 september 1918, 0920 hrs \| halberstadt (unspecified c \| noyelles-sous-lens \| None row 12 : 28 october 1918, 1205 \| fokker d.vii \| villers-pol \| shared with lt. jesse ] Execute this SQL based on the above table: select notes where notes in ( 'None' , 'shared with lt. jesse creech' ) order by location desc limit 1	shared with lt. jesse creech
[ header: ime exchange (including spot, credit and forward transactions) \| 2007/08 \| 2008/09 \| 2009/10 \| 2010/11 \| 2011/12 row 1 : agricultural - volume (thousand tons) \| 273 \| 173.5 \| 175.2 \| 1633.9 \| 550 row 2 : agricultural - value (billion rials \| 772.6 \| 3729.7 \| 484.8 \| 3729 \| 3793 row 3 : manufacturing and metal - volume (thousand \| 6443.8 \| 6679.7 \| 7438.5 \| 8694 \| 11685 row 4 : manufacturing and metal - value (billion \| 58044.2 \| 62120.6 \| 53842 \| 75235.5 \| 102356 row 5 : oil and petrochemical - volume ( \| 89.7 \| 4339.2 \| 7052.9 \| 6662.6 \| 8117 row 6 : oil and petrochemical - value ( \| 352.7 \| 19921 \| 36450.7 \| 41478 \| 64370 row 7 : grand total - volume (thousand tons \| 6806.5 \| 11192.4 \| 14666.6 \| 16990.5 \| 20351 row 8 : grand total - value (billion rial \| 59169.4 \| 82685.3 \| 90777.5 \| 120443.2 \| 170519 ] Execute this SQL based on the above table: select ime exchange (including spot, credit and forward transactions) where ime exchange (including spot, credit and forward transactions) = 'grand total - value (billion rials)' order by ime exchange (including spot, credit and forward transactions) limit 1980	grand total - value (billion rials)
[ header: # \| employer \| # of employees row 1 : 1 \| medline \| 1200 row 2 : 2 \| mundelein park district \| 422 row 3 : 3 \| amcor \| 350 row 4 : 4 \| fremont school district 79 \| 287 row 5 : 5 \| university of saint mary of the lake \| 220 row 6 : 6 \| mundelein elementary school district 75 \| 213 row 7 : 7 \| mundelein high school \| 211 row 8 : 8 \| village of mundelein \| 183 ] Execute this SQL based on the above table: select count ( * ) where employer = 'medline'	1
[ header: version \| length \| album \| remixed by \| year \| comment row 1 : album/single version \| 4:30 \| avant que l'ombre \| None \| 2005 \| see the previous sections row 2 : radio edit \| 3:55 \| None \| None \| 2005 \| the musical introduction is almost fully deleted, as well row 3 : instrumental \| 4:32 \| None \| laurent boutonnat \| 2005 \| this instrumental version is identical to the album version, row 4 : the martyr's remix \| 5:20 \| None \| y-front \| 2005 \| this version contains all the lyrics of the album version row 5 : mother f... dub mix \| 7:50 \| None \| joachim garraud \| 2005 \| all the lyrics from the original version are deleted, row 6 : mother f... vocal club mix \| 8:30 \| None \| joachim garraud \| 2005 \| devoted to the nightclubs, this techno row 7 : music video \| 5:02 \| music videos iv \| None \| 2005 \| None row 8 : live version (recorded in 2006) \| 6:42 (audio) 8:18 ( \| avant que l'ombre... a \| None \| 2006 \| this version is similar to the album one, with ] Execute this SQL based on the above table: select year where year in ( 2005 , 528 )	2005, 2005, 2005, 2005, 2005, 2005, 2005
[ header: represented \| contestant \| age \| height \| hometown row 1 : azua \| patricia tomas ferro \| 21 \| 1.78 m (5 ft 10 in \| santo domingo row 2 : com. dom. nueva york \| carol maria arciniegas j \| 20 \| 1.78 m (5 ft 10 in \| washington heights row 3 : dajabon \| elizabeth rondon garcia \| 18 \| 1.75 m (5 ft 9 in \| loma de cabrera row 4 : distrito nacional \| melanie pimentel de la \| 26 \| 1.69 m (5 ft 6 1 \| los alcarrizos row 5 : duverge \| yilda santana \| 22 \| 1.80 m (5 ft 10 3 \| santo domingo row 6 : hato mayor \| sarah maria reyes \| 20 \| 1.75 m (5 ft 9 in \| san cristobal row 7 : la romana \| suanny frontaan de la cruz \| 22 \| 1.82 m (5 ft 11 3 \| la romana row 8 : licey al medio \| ana carolina frometa cru \| 22 \| 1.77 m (5 ft 9 3 \| santiago de los caballe row 9 : moca \| cindy arias morton \| 25 \| 1.80 m (5 ft 10 3 \| moca row 10 : monte cristi \| carolina ayala cro \| 18 \| 1.71 m (5 ft 7 1 \| san felipe de puerto row 11 : neiba \| sandra castellanos de fermin \| 21 \| 1.76 m (5 ft 9 1 \| santo domingo row 12 : samana \| lucrecia vargas camacho \| 20 \| 1.74 m (5 ft 8 1 \| moca row 13 : san cristobal \| elisa mercedes \| 19 \| 1.74 m (5 ft 8 1 \| san cristobal row 14 : san francisco de macoris \| johanna del carmen espa \| 19 \| 1.76 m (5 ft 9 1 \| san francisco de macoris row 15 : san jose de las mata \| karina german fernandez \| 24 \| 1.77 m (5 ft 9 3 \| santiago de los caballe row 16 : san juan \| lizette de los santos \| 23 \| 1.78 m (5 ft 10 in \| san juan de la magu row 17 : santiago \| amelia victoria vega \| 17 \| 1.85 m (6 ft 3⁄ \| santiago de los caballe row 18 : santiago rodriguez \| martha zamora ta \| 20 \| 1.83 m (6 ft 0 \| santiago de los caballe row 19 : santo domingo oeste \| aurora sardena fiallo \| 25 \| 1.79 m (5 ft 10 1 \| santo domingo row 20 : valverde \| lourdes medina acosta \| 21 \| 1.72 m (5 ft 7 3 \| laguna salada ] Execute this SQL based on the above table: select age order by represented asc limit 1	21
[ 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 title where title = '"promises, promises"/lover come back'	"promises, promises"/lover come back
[ header: rank \| film \| year \| opening weekend (three day) \| inflation-adjusted (2014 usd) row 1 : 1 \| marvel's the avengers \| 2012 \| $207,438,708 \| $213,091,480 row 2 : 2 \| iron man 3 \| 2013 \| $174,144,585 \| $176,308,953 row 3 : 3 \| harry potter and the deathly hall \| 2011 \| $169,189,427 \| $177,373,590 row 4 : 4 \| the dark knight rises \| 2012 \| $160,887,295 \| $165,271,526 row 5 : 5 \| the dark knight \| 2008 \| $158,411,483 \| $173,518,111 row 6 : 6 \| the hunger games: catching fire \| 2013 \| $158,074,286 \| $160,038,924 row 7 : 7 \| the hunger games \| 2012 \| $152,535,747 \| $156,692,396 row 8 : 8 \| spider-man 3 \| 2007 \| $151,116,516 \| $171,876,545 row 9 : 9 \| the twilight saga: \| 2009 \| $142,839,137 \| $157,018,918 row 10 : 10 \| the twilight saga: \| 2012 \| $141,067,634 \| $144,911,773 row 11 : 11 \| the twilight saga: \| 2011 \| $138,122,261 \| $144,803,619 row 12 : 12 \| pirates of the caribbean: dead \| 2006 \| $135,634,554 \| $158,673,173 row 13 : 13 \| iron man 2 \| 2010 \| $128,122,480 \| $138,563,103 row 14 : 14 \| harry potter and the deathly hall \| 2010 \| $125,017,372 \| $135,204,962 row 15 : 15 \| shrek the third \| 2007 \| $121,629,270 \| $138,338,411 row 16 : 16 \| man of steel \| 2013 \| $116,619,362 \| $118,068,774 row 17 : 17 \| alice in wonderland \| 2010 \| $116,101,023 \| $125,562,025 row 18 : 18 \| spider-man \| 2002 \| $114,844,116 \| $150,582,840 row 19 : 19 \| pirates of the caribbean: at \| 2007 \| $114,732,820 \| $130,494,543 row 20 : 20 \| toy story 3 \| 2010 \| $110,307,189 \| $119,296,055 row 21 : 21 \| transformers: revenge of the fallen \| 2009 \| $108,966,307 \| $119,783,499 row 22 : 22 \| star wars episode iii: revenge \| 2005 \| $108,435,841 \| $130,939,650 row 23 : 23 \| shrek 2 \| 2004 \| $108,037,878 \| $134,895,074 row 24 : 24 \| x-men: the last stand \| 2006 \| $102,750,665 \| $120,203,691 row 25 : 25 \| harry potter and the goblet \| 2005 \| $102,685,961 \| $123,996,491 row 26 : 26 \| indiana jones and the kingdom of \| 2008 \| $100,137,835 \| $109,687,301 ] Execute this SQL based on the above table: select film order by rank desc limit 1	indiana jones and the kingdom of the crystal skull
[ header: name \| type \| r.a. (j2000) \| dec. (j2000) \| redshift (km/s) \| apparent magnitude row 1 : ic 2049 \| sab(s)d? \| 04h 12m 04.3s \| -58° 33′ 25′′ \| 1469 ± 7 \| 14.5 row 2 : ngc 1536 \| sb(s)c pec \| 04h 10m 59.8s \| -56° 28′ 50′′ \| 1217 ± 13 \| 13.2 row 3 : ngc 1543 \| (r)sb(l)00 \| 04h 12m 43.2s \| -57° 44′ 17′′ \| 1176 ± 7 \| 11.5 row 4 : lsbg f157-08 \| irregular \| 04h 27m 13.7s \| -57° 25′ 42′′ \| 1215 ± 7 \| 16.7 row 5 : ngc 1533 \| (l)sb(rs)00 \| 04h 09m 51.8s \| -56° 07′ 06′′ \| 790 ± 5 \| 11.7 row 6 : ic 2038 \| sd pec \| 04h 08m 53.7s \| -55° 59′ 22′′ \| 712 ± 52 \| 15.5 row 7 : apmbgc 157+0 \| irregular \| 04h 22m 51.7s \| -56° 13′ 39′′ \| 1350 ± 4 \| 16.3 row 8 : ngc 1546 \| sa0+? \| 04h 14m 36.5s \| -56° 03′ 39′′ \| 1284 ± 14 \| 11.8 row 9 : ic 2058 \| sc \| 04h 17m 54.3s \| -55° 55′ 58′′ \| 1379 ± 1 \| 13.9 row 10 : ic 2032 \| iab(s)m pec \| 04h 07m 03.0s \| -55° 19′ 26′′ \| 1068 ± 7 \| 14.7 row 11 : ngc 1596 \| sa0: sp \| 04h 27m 38.1s \| -55° 01′ 40′′ \| 1510 ± 8 \| 12.1 row 12 : ngc 1515 \| sab(s)bc \| 04h 04m 02.7s \| -54° 06′ 00′′ \| 1175 ± 7 \| 12.1 row 13 : ngc 1522 \| (r')s00: pec \| 04h 06m 07.9s \| -52° 40′ 06′′ \| 898 ± 7 \| 13.9 row 14 : eso 157-030 \| e4 \| 04h 27m 32.6s \| -54° 11′ 48′′ \| 1471 ± 28 \| 14.7 row 15 : eso 157-047 \| s0/a? pec s \| 04h 39m 19.1s \| -54° 12′ 41′′ \| 1655 ± 10 \| 15.5 row 16 : eso 157-049 \| s? \| 04h 39m 36.9s \| -53° 00′ 46′′ \| 1678 ± 5 \| 14.3 row 17 : ic 2085 \| s00 pec sp \| 04h 31m 24.2s \| -54° 25′ 01′′ \| 982 ± 10 \| 13.9 row 18 : ngc 1549 \| e0-1 \| 04h 15m 45.1s \| -55° 35′ 32′′ \| 1220 ± 15 \| 10.7 row 19 : ngc 1553 \| sa(rl)00 \| 04h 16m 10.5s \| -55° 46′ 49′′ \| 1080 ± 11 \| 10.3 row 20 : ngc 1574 \| sa0- \| 04h 21m 58.8s \| -56° 58′ 29′′ \| 1050 ± 25 \| 11.4 row 21 : ngc 1581 \| s0- \| 04h 24m 44.9s \| -54° 56′ 31′′ \| 1600 ± 27 \| 13.6 ] Execute this SQL based on the above table: select dec. (j2000) order by id desc limit 1	-54° 56′ 31′′
[ header: opposition \| matches \| won \| drawn \| lost \| for \| against \| win% row 1 : bhopal badshahs \| 2 \| 0 \| 1 \| 1 \| 7 \| 8 \| 0.00% row 2 : chennai cheeta \| 2 \| 1 \| 0 \| 1 \| 6 \| 5 \| 50.00% row 3 : delhi wizards \| 2 \| 2 \| 0 \| 0 \| 4 \| 2 \| 100.00% row 4 : karnataka lions \| 2 \| 1 \| 0 \| 1 \| 8 \| 4 \| 50.00% row 5 : mumbai marines \| 2 \| 2 \| 0 \| 0 \| 9 \| 5 \| 100.00% row 6 : pune strykers \| 3 \| 2 \| 0 \| 1 \| 11 \| 8 \| 66.67% row 7 : sher-e-punjab \| 2 \| 1 \| 0 \| 1 \| 5 \| 6 \| 50.00% ] Execute this SQL based on the above table: select abs ( ( select win% where opposition = 'karnataka lions' ) - ( select win% where opposition = 'karnataka lions' ) )	0.0
[ header: year \| single \| peak chart positions us \| peak chart positions us r&b \| peak chart positions aus \| peak chart positions can \| peak chart positions nld \| peak chart positions nz \| peak chart positions uk \| certifications \| album row 1 : 1992 \| "happy days" \| 86 \| 13 \| None \| None \| None \| None \| None \| None \| lose control row 2 : 1993 \| "freak me" \| 1 \| 1 \| 3 \| 43 \| 42 \| 9 \| 46 \| us: platinum \| lose control row 3 : 1993 \| "girl u for me" \| 26 \| 4 \| None \| None \| None \| 30 \| 67 \| None \| lose control row 4 : 1993 \| "lose control" \| 26 \| 4 \| None \| None \| None \| None \| None \| None \| lose control row 5 : 1993 \| "it had to be you" \| 109 \| 45 \| None \| None \| None \| None \| None \| None \| lose control row 6 : 1993 \| "baby it's you" \| None \| None \| None \| None \| None \| None \| 44 \| None \| lose control row 7 : 1994 \| "i can go deep" \| 71 \| 22 \| None \| None \| None \| None \| None \| None \| a low down dirty shame / silk row 8 : 1995 \| "hooked on you" \| 54 \| 12 \| None \| None \| None \| 11 \| 81 \| None \| silk row 9 : 1996 \| "don't rush" \| 91 \| 39 \| None \| None \| None \| None \| None \| None \| silk row 10 : 1999 \| "if you (lovin' me)" \| 13 \| 4 \| None \| None \| None \| 28 \| None \| us: gold \| tonight row 11 : 1999 \| "meeting in my bedroom" \| 62 \| 15 \| None \| None \| None \| None \| None \| None \| tonight row 12 : 1999 \| "let's make love" \| None \| 58 \| None \| None \| None \| None \| None \| None \| tonight row 13 : 2001 \| "we're callin u" \| None \| 56 \| None \| None \| None \| None \| None \| None \| love session row 14 : 2001 \| "ebony eyes" \| None \| None \| None \| None \| None \| None \| None \| None \| love session row 15 : 2003 \| "silktime" \| None \| None \| None \| None \| None \| None \| None \| None \| silktime row 16 : 2004 \| "side show" \| None \| 66 \| None \| None \| None \| None \| None \| None \| silktime row 17 : 2006 \| "the secret garden (sweet seduction suite) \| None \| None \| None \| None \| None \| None \| None \| None \| always and forever ] Execute this SQL based on the above table: select single where single in ( '"hooked on you"' , '"lose control"' ) order by year desc limit 1	"hooked on you"
[ header: season \| head coach \| conf. \| overall row 1 : 1940-41 \| henry swasey \| 3-5 \| 9-8 row 2 : 1941-42 \| henry swasey \| 0-8 \| 4-15 row 3 : 1942-43 \| henry swasey \| 2-6 \| 4-14 row 4 : 1945-46 \| henry swasey \| 0-4 \| 3-7 row 5 : 1946-47 \| ed stanczyk \| 0-5 \| 6-11 row 6 : 1947-48 \| ed stanczyk \| 2-5 \| 5-12 row 7 : 1948-49 \| ed stanczyk \| 2-6 \| 7-10 row 8 : 1949-50 \| ed stanczyk \| 1-5 \| 4-11 ] Execute this SQL based on the above table: select count ( * ) where conf. = '2-5' and id <= 10	1
[ header: year \| english title \| japanese \| romanization \| type row 1 : 1991 \| (toppu! minipato ta \| 突風! ミニハト隊アイキャッチ・シャンクション \| toppu! minipato tai \| video row 2 : 1991 \| (redi hanta: kor \| レティハンター殺しのフレュート \| redi hanta: koro \| video row 3 : 1995 \| (daisan no gokudo \| 第三の極道 \| daisan no gokudo \| video row 4 : 1995 \| osaka tough guys \| なにわ遊侠伝 \| naniwa yukyo \| video row 5 : 1996 \| the way to fight \| 喧嘩の花道大阪最強伝説 \| kenka no hanamichi: \| video row 6 : 1997 \| full metal yakuza \| full metal 極道 \| full metal gokudo \| video row 7 : 1998 \| the bird people in china \| 中国の鳥人 \| chugoku no chojin \| film row 8 : 1998 \| blues harp \| blues harp \| None \| film row 9 : 1999 \| man, a natural girl \| 天然少女萬 \| tennen shojo man \| tv row 10 : 1999 \| ley lines \| 日本黒社会 \| nihon kuroshaka \| film row 11 : 1999 \| salaryman kintaro white collar worker \| サラリーマン金太郎 \| sarariiman kintaro \| film row 12 : 2000 \| the making of 'gemini' \| (unknown) \| tsukamoto shin' \| tv documentary row 13 : 2001 \| ichi the killer \| 殺し屋1 \| koroshiya 1 \| film row 14 : 2002 \| dead or alive: final \| dead or alive final \| None \| film row 15 : 2002 \| (onna kunishu ikk \| おんな国衆一揆 \| onna kunishu ikk \| (unknown) row 16 : 2003 \| koshonin \| 交渉人 \| koshonin \| tv row 17 : 2004 \| zebraman \| セフラーマン \| zeburaman \| film row 18 : 2006 \| big bang love, juvenile a 4.6 \| 46億年の恋 \| 46-okunen no koi \| film row 19 : 2006 \| imprint episode from masters of horror \| インフリント ~ほっけえ、きょうてえ~ \| inpurinto ~bokke ky \| tv episode row 20 : 2006 \| waru: kanketsu-hen \| None \| waru: kanketsu-hen \| video row 21 : 2009 \| crows zero 2 \| クロースzero 2 \| kurozu zero 2 \| film row 22 : 2011 \| hara-kiri: death of a \| 一命 \| ichimei \| film row 23 : 2012 \| ace attorney \| 逆転裁判 \| gyakuten saiban \| film row 24 : 2013 \| shield of straw \| 藁の楯 \| wara no tate \| film ] Execute this SQL based on the above table: select type where english title = 'shield of straw'	film
[ header: edition \| year \| men's winner \| time \| women's winner \| time row 1 : 29th \| october 14, 2012 \| dickson kiptolo \| 2:05:46 \| aberume mekuria (eth \| 2:27:20 row 2 : 28th \| october 9, 2011 \| jafred chirchir kipchu \| 2:05:48 \| georgina rono (ken) \| 2:24:33 row 3 : 26th \| october 11, 2009 \| geoffrey mutai (ken) \| 2:07:01 \| beata naigambo (nam) \| 2:31:01 row 4 : 25th \| october 12, 2008 \| geoffrey mutai (ken) \| 2:07:49 \| lydia kurgat (ken \| 2:33:39 row 5 : 24th \| october 14, 2007 \| philip singoei (ken) \| 2:07:57 \| lydia kurgat (ken \| 2:39:21 row 6 : 23rd \| october 8, 2006 \| philip singoei (ken) \| 2:08:18 \| agnes hijman (ned \| 2:54:36 row 7 : 22nd \| october 9, 2005 \| boniface usisivu (ken \| 2:08:45 \| tatyana perepelkina ( \| 2:38:27 row 8 : 21st \| october 10, 2004 \| willy cheruiyot ( \| 2:09:20 \| annelieke van der sluij \| 2:37:33 row 9 : 20th \| october 12, 2003 \| willy cheruiyot ( \| 2:09:05 \| vivian ruijters \| 2:36:36 row 10 : 19th \| october 13, 2002 \| willy cheruiyot ( \| 2:10:12 \| marleen van reusel (bel) \| 2:54:23 row 11 : 18th \| october 14, 2001 \| samuel tangus ( \| 2:12:47 \| valentina poltavs \| 2:54:30 row 12 : 16th \| october 10, 1999 \| david ngetich (ken) \| 2:09:24 \| nadezhda wij \| 2:28:45 row 13 : 12th \| october 8, 1995 \| pyotro sarafiny \| 2:16:40 \| carla beurskens (ned \| 2:35:16 row 14 : 11th \| october 9, 1994 \| aiduna aitnafa \| 2:11:37 \| jeanne jansen (ned \| 2:45:03 row 15 : 7th \| october 14, 1990 \| john vermeule (ned \| 2:15:03 \| mieke hombergen (ne \| 2:44:59 row 16 : 6th \| october 16, 1988 \| jean-pierre paumen (bel \| 2:14:54 \| heather macduff (eng) \| 2:34:26 row 17 : 5th \| october 12, 1986 \| kim reynierse (n \| 2:15:13 \| heather macduff (eng) \| 2:55:39 row 18 : 3rd \| october 24, 1982 \| lucien rottiers (bel) \| 2:16:27 \| ann rindt (ned) \| 2:59:07 row 19 : None \| 1961-1981 \| marathon race not held \| None \| None \| None ] Execute this SQL based on the above table: select count ( * ) where women's winner = 'annelieke van der sluijs (ned)' and women's winner = 'marleen van reusel (bel)'	0
[ header: draw \| country \| language \| artist \| song \| english translation \| place \| points row 1 : 1 \| belgium \| dutch \| bobbejaan schoepen \| "straatdeuntje" \| street tune \| 8 \| 5 row 2 : 2 \| luxembourg \| french \| daniele dupre \| "amours mortes (tant de peine \| dead love (so much sorrow) \| 4 \| 8 row 3 : 3 \| united kingdom \| english \| patricia bredin \| "all" \| None \| 7 \| 6 row 4 : 4 \| italy \| italian \| nunzio gallo \| "corde della mia chi \| strings of my guitar \| 6 \| 7 row 5 : 5 \| austria \| german \| bob martin \| "wohin, kleines pony?" \| where to, little pony? \| 10 \| 3 row 6 : 6 \| netherlands \| dutch \| corry brokken \| "net als toen" \| just like then \| 1 \| 31 row 7 : 7 \| germany \| german \| margot hielscher \| "telefon, telefon" \| telephone, telephone \| 4 \| 8 row 8 : 8 \| france \| french \| paule desjardins \| "la belle amour" \| beautiful love \| 2 \| 17 row 9 : 9 \| denmark \| danish \| birthe wilke & gusta \| "skibet skal sejle \| the ship will sail tonight \| 3 \| 10 row 10 : 10 \| switzerland \| french \| lys assia \| "l'enfant que j'et \| the child i was \| 8 \| 5 ] Execute this SQL based on the above table: select artist where points <= 1705	bobbejaan schoepen, daniele dupre, patricia bredin, nunzio gallo, bob martin, corry brokken, margot hielscher, paule desjardins, birthe wilke & gustav winckler, lys assia
[ header: no. \| race title \| track \| date \| tv row 1 : 1 \| nextera energy resources 250 \| daytona international speedway, dayt \| february 21 \| fs1 row 2 : 2 \| kroger 250 \| martinsville speedway, martin \| march 30 \| fs1 row 3 : 3 \| sfp 250 \| kansas speedway, kan \| may 9 \| fs1 row 4 : 4 \| north carolina education lottery 200 \| charlotte motor speedway, concord \| may 16 \| fs1 row 5 : 5 \| lucas oil 200 \| dover international speedway, dover \| may 30 \| fs1 row 6 : 6 \| winstar world casino 400k \| texas motor speedway, fort \| june 6 \| fs1 row 7 : 7 \| gateway 200 \| gateway motorsports park, madison, \| june 14 \| fs1 row 8 : 8 \| unoh 225 \| kentucky speedway, s \| june 26 \| fs1 row 9 : 9 \| american ethanol 200 \| iowa speedway, newton \| july 12 \| fs1 row 10 : 10 \| mudsummer classic \| eldora speedway, new weston \| july 23 \| fs1 row 11 : 11 \| pocono mountains 150 \| pocono raceway, long pond \| august 2 \| fs1 row 12 : 12 \| michigan national guard 200 \| michigan international speedway, brooklyn \| august 16 \| fs1 row 13 : 13 \| unoh 200 \| bristol motor speedway, b \| august 20 \| fs1 row 14 : 14 \| chevy silverado 250 \| canadian tire motorsport park, bowman \| august 31 \| fs1 row 15 : 15 \| enjoyillinois.com 225 \| chicagoland speedway, joliet \| september 12 \| fs1 row 16 : 16 \| unoh 175 \| new hampshire motor speedway, loud \| september 20 \| fs1 row 17 : 17 \| smith's 350 \| las vegas motor speedway, la \| september 27 \| fs1 row 18 : 18 \| fred's 250 \| talladega superspeedway, talla \| october 18 \| fox row 19 : 19 \| kroger 200 \| martinsville speedway, martin \| october 25 \| fs1 row 20 : 20 \| winstar world casino 350k \| texas motor speedway, fort \| october 31 \| fs1 row 21 : 21 \| lucas oil 150 \| phoenix international raceway, a \| november 7 \| fs1 row 22 : 22 \| ford ecoboost 200 \| homestead-miami speedway, home \| november 14 \| fs1 ] Execute this SQL based on the above table: select race title where id = ( select id where race title = 'american ethanol 200' ) + 1	mudsummer classic
[ header: series \| year \| rank \| average audience share row 1 : 1 \| 1992 \| None \| 14.50m row 2 : 2 \| 1993 \| None \| None row 3 : 3 \| 1993 \| None \| None row 4 : 4 \| 1994 \| None \| None row 5 : 5 \| 1995 \| None \| None row 6 : 6 \| 1996 \| None \| 14.60m row 7 : 7 \| 1997-1998 \| None \| 15.82m row 8 : 8 \| 1998-1999 \| 5th \| 14.35m row 9 : 9 \| 1999-2000 \| 6th \| 13.71m row 10 : 10 \| 2000-2001 \| 5th \| 13.21m row 11 : 11 \| 2001-2002 \| 6th \| 10.77m row 12 : 12 \| 2002-2003 \| 7th \| 11.29m row 13 : 13 \| 2003-2004 \| 8th \| 13.11m row 14 : 14 \| 2004-2005 \| 10th \| 8.77m row 15 : 15 \| 2005-2006 \| 10th \| 8.42m row 16 : 16 \| 2006-2007 \| 8th \| 7.80m row 17 : 17 \| 2007-2008 \| 11th \| 6.90m row 18 : 18 \| 2008-2010 \| 15th \| 5.44m (incl. itv ] Execute this SQL based on the above table: select count ( * ) where rank = '6th'	2
[ header: order in position \| president of the republic \| length of the presidential action \| rank by length of term(s) \| notes row 1 : 1 \| k. j. stahlberg \| 5 years, 220 days \| 8 \| 1 term serving row 2 : 2 \| lauri kristian relander \| 6 years, 0 days one leap year (19 \| 6 \| 1 term serving row 3 : 3 \| p. e. svinh \| 5 years, 364 days two leap years (19 \| 6 \| 1 term serving row 4 : 4 \| kyosti kallio \| 3 years, 293 days \| 9 \| resigned due to poor health row 5 : 5 \| risto ryti \| 3 years, 229 days \| 10 \| resigned due to agreement with nazi german row 6 : 6 \| gustaf mannerheim \| 1 year, 219 days \| 11 \| resigned due to poor health and after not row 7 : 7 \| j. k. paasiki \| 9 years, 356 days \| 4 \| 2 terms serving (remainder of mannerheim row 8 : 8 \| urho kekkonen \| 25 years, 332 days \| 1 \| 3 whole terms serving (the 3rd exceptionally row 9 : 9 \| mauno koivisto \| 12 years, 33 days \| 2 \| 2 terms serving row 10 : 10 \| martti ahtisa \| 6 years, 0 days two leap years (19 \| 5 \| 1 term serving row 11 : 11 \| tarja halonen \| 12 years, 0 days \| 3 \| 2 terms serving row 12 : 12 \| sauli niinisto \| 2 years, 115 days \| None \| incumbent: first term serving ] Execute this SQL based on the above table: select notes group by notes order by count ( * ) desc limit 1	1 term serving
[ header: z \| element \| observed or predicted \| isolated (widely known) \| observer \| first isolator \| notes row 1 : 42 \| molybdenum \| 1778 \| 1781 \| w. scheele \| j. hjelm \| scheele recognised the metal as a constituent row 2 : 74 \| tungsten \| 1781 \| 1783 \| t. bergman \| j. and f. el \| bergman obtained from scheelite an row 3 : 58 \| cerium \| 1803 \| 1839 \| h. klaproth, j \| g. mosander \| berzelius and hisinger discovered the element row 4 : 3 \| lithium \| 1817 \| 1821 \| a. arfwedson \| w. t. brande \| arfwedson discovered the alkali row 5 : 35 \| bromine \| 1825 \| 1825 \| j. balard and l. \| j. balard and l. \| they both discovered the element in the autumn of 18 row 6 : 90 \| thorium \| 1829 \| None \| j. berzelius \| None \| berzelius obtained the oxide of a row 7 : 69 \| thulium \| 1879 \| 1879 \| t. cleve \| t. cleve \| cleve split marignac's er row 8 : 10 \| neon \| 1898 \| 1898 \| w. ramsay and w. \| w. ramsay and w. \| in june 1898 ramsay separated row 9 : 86 \| radon \| 1898 \| 1910 \| e. dorn \| w. ramsay and r. \| dorn discovered a radioactive gas row 10 : 89 \| actinium \| 1899 \| 1899 \| a.-l. debierne \| a.-l. debierne \| debierne obtained from pitchblende row 11 : 71 \| lutetium \| 1906 \| 1906 \| g. urbain and c.a. \| g. urbain and c.a. \| urbain and von welsbach proved independently that row 12 : 75 \| rhenium \| 1908 \| 1908 \| m. ogawa \| m. ogawa \| ogawa found it in thori ] Execute this SQL based on the above table: select first isolator where id = ( select id where first isolator = 'm. ogawa' ) - 1	g. urbain and c.a. von welsbach
[ header: county \| obama% \| obama# \| mccain% \| mccain# \| total row 1 : andrew \| 38.8% \| 3345 \| 61.2% \| 5279 \| 8624 row 2 : audrain \| 41.8% \| 4434 \| 58.2% \| 6167 \| 10601 row 3 : barry \| 32.2% \| 4630 \| 67.8% \| 9758 \| 14388 row 4 : boone \| 56.1% \| 47062 \| 43.9% \| 36849 \| 83911 row 5 : buchanan \| 50.1% \| 19164 \| 49.9% \| 19110 \| 38274 row 6 : carroll \| 34.2% \| 1535 \| 65.8% \| 2955 \| 4490 row 7 : carter \| 34.8% \| 984 \| 65.2% \| 1840 \| 2824 row 8 : cedar \| 32.9% \| 2060 \| 67.1% \| 4194 \| 6254 row 9 : clay \| 49.7% \| 53761 \| 50.3% \| 54516 \| 108277 row 10 : cooper \| 37.9% \| 2996 \| 62.1% \| 4902 \| 7898 row 11 : dekalb \| 36.9% \| 1692 \| 63.1% \| 2889 \| 4581 row 12 : douglas \| 32.7% \| 2140 \| 67.3% \| 4405 \| 6545 row 13 : gentry \| 38.6% \| 1235 \| 61.4% \| 1964 \| 3199 row 14 : greene \| 42.0% \| 56181 \| 58.0% \| 77683 \| 133864 row 15 : grundy \| 34.5% \| 1580 \| 65.5% \| 3006 \| 4586 row 16 : hickory \| 43.2% \| 2171 \| 56.8% \| 2850 \| 5021 row 17 : howard \| 42.9% \| 2036 \| 57.1% \| 2708 \| 4744 row 18 : howell \| 34.3% \| 5736 \| 65.7% \| 10982 \| 16718 row 19 : jefferson \| 51.3% \| 53467 \| 48.7% \| 50804 \| 104271 row 20 : knox \| 38.5% \| 759 \| 61.5% \| 1212 \| 1971 row 21 : lewis \| 41.5% \| 1837 \| 58.5% \| 2594 \| 4431 row 22 : lincoln \| 44.2% \| 10234 \| 55.8% \| 12924 \| 23158 row 23 : livingston \| 37.9% \| 2435 \| 62.1% \| 3993 \| 6428 row 24 : madison \| 41.3% \| 2042 \| 58.7% \| 2897 \| 4939 row 25 : maries \| 35.9% \| 1599 \| 64.1% \| 2853 \| 4452 row 26 : marion \| 37.9% \| 4703 \| 62.1% \| 7705 \| 12408 row 27 : mercer \| 30.7% \| 519 \| 69.3% \| 1169 \| 1688 row 28 : miller \| 31.3% \| 3553 \| 68.7% \| 7797 \| 11350 row 29 : moniteau \| 31.8% \| 2084 \| 68.2% \| 4467 \| 6551 row 30 : montgomery \| 40.6% \| 2347 \| 59.4% \| 3428 \| 5775 row 31 : morgan \| 39.5% \| 3565 \| 60.5% \| 5451 \| 9016 row 32 : oregon \| 40.6% \| 1811 \| 59.4% \| 2652 \| 4463 row 33 : pike \| 45.0% \| 3487 \| 55.0% \| 4268 \| 7755 row 34 : polk \| 33.7% \| 4553 \| 66.3% \| 8956 \| 13509 row 35 : scotland \| 38.8% \| 793 \| 61.2% \| 1249 \| 2042 row 36 : st. clair \| 38.8% \| 1886 \| 61.2% \| 2981 \| 4867 ] Execute this SQL based on the above table: select mccain% where obama# = 1535	65.8%
[ header: year \| title \| role \| notes row 1 : 1991 \| let him have it \| derek bentley \| None row 2 : 1992 \| death and the compass \| alonso zunz \| None row 3 : 1993 \| anchoress \| priest \| None row 4 : 1994 \| shallow grave \| david \| None row 5 : 1996 \| jude \| jude fawley \| None row 6 : 1998 \| elizabeth \| duke of norfolk \| None row 7 : 1998 \| a price above rubies \| sender horowitz \| None row 8 : 1999 \| heart \| gary ellis \| None row 9 : 1999 \| existenz \| seminar leader \| None row 10 : 1999 \| with or without you \| vincent boyd \| None row 11 : 2000 \| gone in 60 seconds \| raymond calitri \| None row 12 : 2000 \| the tyre \| salesman \| short film row 13 : 2001 \| the others \| charles stewart \| None row 14 : 2001 \| the invisible circus \| wolf \| None row 15 : 2001 \| this little piggy \| cabbie \| short film row 16 : 2002 \| 24 hour party people \| boethius \| None row 17 : 2002 \| i am dina \| leo zhukovsky \| None row 18 : 2002 \| revengers tragedy \| vindici \| None row 19 : 2002 \| 28 days later \| major henry west \| None row 20 : 2007 \| the dark is rising \| the rider \| None row 21 : 2008 \| new orleans, mon amour \| dr. henry \| None row 22 : 2009 \| g.i. joe: the \| james mccullen \| None row 23 : 2009 \| amelia \| fred noonan \| None row 24 : 2009 \| the happiness salesman \| salesman \| short film row 25 : 2012 \| song for marion \| james harris \| None row 26 : 2013 \| thor: the dark world \| malekith \| None ] Execute this SQL based on the above table: select role order by year desc limit 1	malekith
[ header: pump type and source \| typical use \| 35 °c (e.g. heated screed floor) \| 45 °c (e.g. heated screed floor) \| 55 °c (e.g. heated timber floor) \| 65 °c (e.g. radiator or dhw) \| 75 °c (e.g. radiator and dhw) \| 85 °c (e.g. radiator and dhw) row 1 : high-efficiency air source heat pump (ashp \| None \| 2.2 \| 2 \| None \| None \| None \| None row 2 : two-stage ashp, air at \| low source temperature \| 2.4 \| 2.2 \| 1.9 \| None \| None \| None row 3 : high efficiency ashp, air at 0 \| low output temperature \| 3.8 \| 2.8 \| 2.2 \| 2 \| None \| None row 4 : prototype transcritical co 2 (r744) heat \| high output temperature \| 3.3 \| None \| None \| 4.2 \| None \| 3 row 5 : ground source heat pump (gshp), \| None \| 5 \| 3.7 \| 2.9 \| 2.4 \| None \| None row 6 : gshp, ground at 10 \| low output temperature \| 7.2 \| 5 \| 3.7 \| 2.9 \| 2.4 \| None row 7 : theoretical carnot cycle limit, source -20 \| None \| 5.6 \| 4.9 \| 4.4 \| 4 \| 3.7 \| 3.4 row 8 : theoretical carnot cycle limit, source 0 \| None \| 8.8 \| 7.1 \| 6 \| 5.2 \| 4.6 \| 4.2 row 9 : theoretical lorentzen cycle limit (co 2 \| None \| 10.1 \| 8.8 \| 7.9 \| 7.1 \| 6.5 \| 6.1 row 10 : theoretical carnot cycle limit, source 10 ° \| None \| 12.3 \| 9.1 \| 7.3 \| 6.1 \| 5.4 \| 4.8 ] Execute this SQL based on the above table: select pump type and source order by 45 °c (e.g. heated screed floor) desc limit 1	theoretical carnot cycle limit, source 10 °c
[ header: no. \| constituency \| created \| seats \| change row 1 : 1 \| carlow-kilkenny \| 1948 \| 5 \| None row 2 : 2 \| cavan-monaghan \| 1977 \| 5 \| None row 3 : 3 \| clare \| 1921 \| 4 \| None row 4 : 4 \| cork east \| 1981 \| 4 \| None row 5 : 5 \| cork north-central \| 1981 \| 4 \| -1 row 6 : 6 \| cork north-west \| 1981 \| 3 \| None row 7 : 7 \| cork south-central \| 1981 \| 5 \| None row 8 : 8 \| cork south-west \| 1961 \| 3 \| None row 9 : 9 \| donegal north-east \| 1981 \| 3 \| None row 10 : 10 \| donegal south-west \| 1981 \| 3 \| None row 11 : 11 \| dublin central \| 1981 \| 4 \| None row 12 : 12 \| dublin mid-west \| 2002 \| 4 \| -1 row 13 : 13 \| dublin north \| 1981 \| 4 \| None row 14 : 14 \| dublin north-central \| 1948 \| 3 \| 1 row 15 : 15 \| dublin north-east \| 1981 \| 3 \| None row 16 : 16 \| dublin north-west \| 1981 \| 3 \| None row 17 : 17 \| dublin south \| 1981 \| 5 \| None row 18 : 18 \| dublin south-central \| 1948 \| 5 \| None row 19 : 19 \| dublin south-east \| 1948 \| 4 \| None row 20 : 20 \| dublin south-west \| 1981 \| 4 \| None row 21 : 21 \| dublin west \| 1981 \| 3 \| None row 22 : 22 \| dun laoghaire \| 1977 \| 5 \| None row 23 : 23 \| galway east \| 1977 \| 4 \| None row 24 : 24 \| galway west \| 1937 \| 5 \| None row 25 : 25 \| kerry north \| 1969 \| 3 \| None row 26 : 26 \| kerry south \| 1937 \| 3 \| None row 27 : 27 \| kildare north \| 1997 \| 4 \| 1 row 28 : 28 \| kildare south \| 1997 \| 3 \| None row 29 : 29 \| laois-offaly \| 2007 \| 5 \| 5 row 30 : 30 \| limerick east \| 1948 \| 5 \| None row 31 : 31 \| limerick west \| 1948 \| 3 \| None row 32 : 32 \| longford-westmeath \| 2007 \| 4 \| 4 row 33 : 33 \| louth \| 1923 \| 4 \| None row 34 : 34 \| mayo \| 1997 \| 5 \| None row 35 : 35 \| meath east \| 2007 \| 3 \| 3 row 36 : 36 \| meath west \| 2007 \| 3 \| 3 row 37 : 37 \| roscommon-south leit \| 2007 \| 3 \| 3 row 38 : 38 \| sligo-north leit \| 2007 \| 3 \| 3 row 39 : 39 \| tipperary north \| 1948 \| 3 \| None row 40 : 40 \| tipperary south \| 1948 \| 3 \| None row 41 : 41 \| waterford \| 1923 \| 4 \| None row 42 : 42 \| wexford \| 1921 \| 5 \| None row 43 : 43 \| wicklow \| 1923 \| 5 \| None ] Execute this SQL based on the above table: select count ( * ) where constituency = 'galway west'	1
[ header: date \| time \| opponent# \| site \| tv \| result \| attendance row 1 : august 29 \| 7:30 pm \| appalachian state \| groves stadium • winston-sa \| None \| w 19-13 \| 21129 row 2 : september 7 \| 6:30 pm \| #13 northwestern \| groves stadium • winston-sa \| fsn \| w 28-27 \| 21749 row 3 : september 14 \| 7:00 pm \| at georgia tech \| bobby dodd stadium • atlant \| None \| l 10-30 \| 45750 row 4 : september 21 \| 12:00 pm \| #20 virginia \| groves stadium • winston-sa \| jps \| l 7-42 \| 23220 row 5 : september 28 \| 12:00 pm \| at clemson \| memorial stadium • clemson, s \| jps \| l 10-21 \| 63263 row 6 : october 5 \| 6:30 pm \| #15 north carolina \| groves stadium • winston-sa \| None \| l 6-45 \| 25681 row 7 : october 19 \| 2:00 pm \| at maryland \| byrd stadium • college park, m \| None \| l 0-52 \| 30212 row 8 : october 26 \| 1:00 pm \| navy \| groves stadium • winston-sa \| None \| l 18-47 \| 17307 row 9 : november 9 \| 12:00 pm \| vs. #3 florida state \| citrus bowl • orlando, f \| jps \| l 7-44 \| 34974 row 10 : november 16 \| 1:00 pm \| duke \| groves stadium • winston-sa \| None \| w 17-16 \| 17842 row 11 : november 23 \| 1:00 pm \| at nc state \| carter-finley stadium • r \| None \| l 22-37 \| 40500 ] Execute this SQL based on the above table: select opponent# where opponent# = 'appalachian state'	appalachian state
[ header: \| date \| opponents \| h / a \| result \| score \| attendance row 1 : 1 \| 29 august \| doncaster knights \| h \| w \| 30 - 14 \| 2232 row 2 : 2 \| 5 september \| london welsh \| h \| w \| 22 - 3 \| 2047 row 3 : 3 \| 11 september \| moseley \| a \| d \| 26 - 26 \| 751 row 4 : 4 \| 19 september \| birmingham & solihull \| h \| w \| 32 - 15 \| 1672 row 5 : 5 \| 26 september \| bristol \| a \| l \| 7 - 21 \| 4379 row 6 : 6 \| 3 october \| plymouth albion \| h \| w \| 46 - 13 \| 2439 row 7 : 7 \| 9 october \| bedford \| a \| l \| 25 - 32 \| 3243 row 8 : 8 \| 17 october \| rotherham titans \| h \| w \| 40 - 15 \| 1982 row 9 : 9 \| 22 october \| worcester warriors \| a \| w \| 23 - 21 \| 6928 row 10 : 10 \| 31 october \| esher \| h \| w \| 54 - 6 \| 1767 row 11 : 11 \| 7 november \| nottingham \| a \| w \| 36 - 10 \| 1637 row 12 : 12 \| 14 november \| london welsh \| a \| l \| 16 - 23 \| 1250 row 13 : 13 \| 21 november \| moseley \| h \| w \| 50 - 7 \| 1854 row 14 : None \| 28 november \| birmingham & solihull \| a \| None \| p - p \| None row 15 : 14 \| 5 december \| bristol \| h \| w \| 16 - 6 \| 2253 row 16 : 15 \| 15 december \| birmingham & solihull \| a \| w \| 61 - 28 \| 407 row 17 : None \| 26 december \| plymouth albion \| a \| None \| p - p \| None row 18 : 16 \| 2 january \| bedford blues \| h \| w \| 23 - 13 \| 3051 row 19 : 17 \| 8 january \| rotherham titans \| a \| l \| 18 - 19 \| 1067 row 20 : 18 \| 12 january \| plymouth albion \| a \| w \| 10 - 6 \| 2512 row 21 : 19 \| 30 january \| worcester warriors \| h \| l \| 30 - 33 \| 1976 row 22 : 20 \| 5 february \| esher \| a \| l \| 12 - 13 \| 1338 row 23 : 21 \| 13 february \| nottingham \| h \| w \| 40 - 0 \| 2486 row 24 : 22 \| 19 february \| doncaster knights \| a \| w \| 16 - 13 \| 1091 ] Execute this SQL based on the above table: select h / a where opponents = 'bedford blues' and h / a != 'a'	h
[ header: season \| level \| division \| section \| position \| movements row 1 : 1985 \| tier 4 \| division 3 \| norra norrland \| 5th \| None row 2 : 1986 \| tier 4 \| division 3 \| norra norrland \| 4th \| promoted row 3 : 1987 \| tier 3 \| division 2 \| norra \| 5th \| None row 4 : 1988 \| tier 3 \| division 2 \| norra \| 1st \| promoted row 5 : 1989 \| tier 2 \| division 1 \| norra \| 3rd \| None row 6 : 1990 \| tier 2 \| division 1 \| norra \| 6th \| None row 7 : 1991 \| tier 2 \| division 1 \| norra \| 1st \| spring row 8 : None \| tier 2 \| division 1 \| kvalsvenskan \| 8th \| autumn row 9 : 1992 \| tier 2 \| division 1 \| norra \| 7th \| spring row 10 : None \| tier 2 \| division 1 \| norra \| 8th \| autumn - relegated row 11 : 1993 \| tier 3 \| division 2 \| norrland \| 1st \| promoted row 12 : 1994 \| tier 2 \| division 1 \| norra \| 13th \| relegated row 13 : 1995 \| tier 3 \| division 2 \| norrland \| 9th \| None row 14 : 1996 \| tier 3 \| division 2 \| norrland \| 8th \| None row 15 : 1997 \| tier 3 \| division 2 \| norrland \| 6th \| None row 16 : 1998 \| tier 3 \| division 2 \| norrland \| 7th \| None row 17 : 1999 \| tier 3 \| division 2 \| norrland \| 3rd \| None row 18 : 2000 \| tier 3 \| division 2 \| norrland \| 8th \| None row 19 : 2001 \| tier 3 \| division 2 \| norrland \| 10th \| relegation playoffs row 20 : 2002 \| tier 3 \| division 2 \| norrland \| 10th \| relegation playoffs row 21 : 2003 \| tier 3 \| division 2 \| norrland \| 10th \| relegation playoffs row 22 : 2004 \| tier 3 \| division 2 \| norrland \| 7th \| None row 23 : 2005 \| tier 3 \| division 2 \| norrland \| 4th \| promoted row 24 : 2006 \| tier 3 \| division 1 \| norra \| 14th \| relegated row 25 : 2007 \| tier 4 \| division 2 \| norrland \| 10th \| relegation playoffs row 26 : 2008 \| tier 4 \| division 2 \| norrland \| 12th \| relegated row 27 : 2009 \| tier 5 \| division 3 \| norra norrland \| 8th \| None row 28 : 2010 \| tier 5 \| division 3 \| norra norrland \| 3rd \| None row 29 : 2011 \| tier 5 \| division 3 \| norra norrland \| 2nd \| promotion playoffs row 30 : 2012 \| tier 5 \| division 3 \| norra norrland \| 3rd \| None ] Execute this SQL based on the above table: select level where season = 2006 and division = 'division 1'	3
[ header: official name \| designation \| area km2 \| population \| parish row 1 : moncton \| city \| 141.17 \| 69074 \| moncton row 2 : dieppe \| city \| 51.17 \| 23310 \| moncton row 3 : beaubassin east \| rural community \| 291.04 \| 6200 \| shediac row 4 : shediac \| town \| 11.97 \| 6053 \| shediac row 5 : sackville \| town \| 74.32 \| 5558 \| sackville row 6 : memramcook \| village \| 185.71 \| 4831 \| dorchester row 7 : cap-pele \| village \| 23.78 \| 2256 \| botsford row 8 : salisbury \| village \| 13.68 \| 2208 \| salisbury row 9 : petitcodiac \| village \| 17.22 \| 1429 \| salisbury row 10 : dorchester \| village \| 5.74 \| 1167 \| dorchester row 11 : port elgin \| village \| 2.61 \| 418 \| westmorland ] Execute this SQL based on the above table: select official name order by population desc limit 1	moncton
[ header: ime exchange (including spot, credit and forward transactions) \| 2007/08 \| 2008/09 \| 2009/10 \| 2010/11 \| 2011/12 row 1 : agricultural - volume (thousand tons) \| 273 \| 173.5 \| 175.2 \| 1633.9 \| 550 row 2 : agricultural - value (billion rials \| 772.6 \| 3729.7 \| 484.8 \| 3729 \| 3793 row 3 : manufacturing and metal - volume (thousand \| 6443.8 \| 6679.7 \| 7438.5 \| 8694 \| 11685 row 4 : manufacturing and metal - value (billion \| 58044.2 \| 62120.6 \| 53842 \| 75235.5 \| 102356 row 5 : oil and petrochemical - volume ( \| 89.7 \| 4339.2 \| 7052.9 \| 6662.6 \| 8117 row 6 : oil and petrochemical - value ( \| 352.7 \| 19921 \| 36450.7 \| 41478 \| 64370 row 7 : grand total - volume (thousand tons \| 6806.5 \| 11192.4 \| 14666.6 \| 16990.5 \| 20351 row 8 : grand total - value (billion rial \| 59169.4 \| 82685.3 \| 90777.5 \| 120443.2 \| 170519 ] Execute this SQL based on the above table: select ime exchange (including spot, credit and forward transactions) where id = 1	agricultural - volume (thousand tons)
[ header: event \| date \| area \| tornadoes \| casualties \| notes row 1 : hurricane carla \| september 1961 \| southern u.s \| 8 \| None \| produced several strong tornadoes, including an row 2 : 1964 wichita falls tornado \| april 3, 1964 \| wichita falls, texa \| None \| 7 dead, 100+ injured \| was rated f5. first tornado ever captured row 3 : february 1965 south florida tornado outbreak \| february 23, 1965 \| southern florida \| 4 \| 0 fatalities, 8 injuries \| produced an unusually strong tornado in south florid row 4 : early-may 1965 tornado outbreak sequence \| may 6-8, 1965 \| minnesota, front range, great \| 50 \| 17 fatalities \| included the 1965 twin cities tornado outbreak, in which row 5 : late-may 1965 tornado outbreak \| may 25-26, 1965 \| great plains \| 51 \| 0 fatalities \| produced multiple strong tornadoes in the great plain row 6 : june 1966 tornado outbreak sequence \| june 8-9, 1966 \| kansas - illin \| 57 \| 18 fatalities \| outbreak sequence produced a series of tornadoes row 7 : 1967 st. louis tornado outbreak \| january 24, 1967 \| midwest \| 32 \| 6 fatalities \| one of the most intense january outbreak row 8 : 1967 oak lawn tornado outbreak \| april 21, 1967 \| midwest \| 45 \| 58 fatalities \| one of the most intense outbreaks to hit the row 9 : 1967 southern minnesota tornado outbreak \| april 30, 1967 \| minnesota \| 9 \| 13 fatalities \| only one tornado below f2 strength in min row 10 : 1968 wheelersburg, ohio \| april 23, 1968 \| ohio valley \| 13 \| 14 fatalities \| outbreak produced several violent and killer tornadoes across ] Execute this SQL based on the above table: select casualties order by id desc limit 1	14 fatalities
[ header: availability / production \| \| 2000 \| 2001 \| 2002 \| 2003 \| 2004 \| 2005 \| 2006 \| 2007 \| 2008 \| 2009 \| 2010 \| 2011 \| 2012 row 1 : availability \| hydro power \| 1150 \| 1161 \| 1171 \| 1247 \| 1281 \| 1293 \| 1316 \| 1326 \| 1357 \| 1379 \| 1382 \| 1401 \| 1584 row 2 : availability \| thermal \| 685 \| 835 \| 1056 \| 1233 \| 1215 \| 1155 \| 1155 \| 1155 \| 1285 \| 1290 \| 1390 \| 1690 \| 1638 row 3 : availability \| other renewables \| 3 \| 3 \| 3 \| 3 \| 3 \| 3 \| 3 \| 3 \| 3 \| 15 \| 45 \| 50 \| 90 row 4 : availability \| total availability \| 1838 \| 1999 \| 2230 \| 2483 \| 2499 \| 2411 \| 2434 \| 2444 \| 2645 \| 2684 \| 2818 \| 3141 \| 3312 row 5 : production \| hydro power \| 3197 \| 3110 \| 2962 \| 3310 \| 2960 \| 3451 \| 4634 \| 3947 \| 4130 \| 3881 \| 5634 \| 4622 \| 3292 row 6 : production \| thermal \| 3485 \| 3407 \| 3201 \| 4298 \| 5080 \| 5314 \| 4751 \| 5864 \| 5763 \| 5975 \| 4995 \| 6785 \| 8339 row 7 : production \| other renewables \| 3 \| 3 \| 4 \| 3 \| 3 \| 5 \| 4 \| 4 \| 8 \| 27 \| 86 \| 121 \| 169 row 8 : production \| total production \| 6685 \| 6520 \| 6167 \| 7611 \| 8043 \| 8770 \| 9389 \| 9815 \| 9901 \| 9883 \| 10715 \| 11528 \| 11800 ] Execute this SQL based on the above table: select availability / production group by availability / production order by count ( availability / production ) desc limit 1	production
[ header: genre \| year \| title \| episode \| role \| notes row 1 : short film \| 1992 \| the bet \| None \| henry \| 21 minutes row 2 : short film \| 1996 \| sin #8 \| None \| None \| None row 3 : tv series \| 1997 \| nothing sacred \| "speaking in tongues" \| dr. elliott \| None row 4 : film \| 1998 \| finding north \| None \| travis furlong \| None row 5 : tv series \| 1998 \| sex and the city \| "oh come all ye faithful" \| tom \| None row 6 : tv series \| 1999 \| homicide: life on the street \| "zen and the art of murder" \| dennis kohler \| None row 7 : film \| 1999 \| the general's daughter \| None \| captain goodson \| None row 8 : tv series \| 2000 \| law & order: special victims unit \| "misleader" "nocturne" \| assistant district attorney \| None row 9 : film \| 2001 \| the anniversary party \| None \| jerry adams \| None row 10 : tv series \| 2001 \| the guardian \| "loyalties" \| the hudson's attorney \| None row 11 : tv film \| 2001 \| life with judy garland: me and \| None \| roger edens \| None row 12 : tv series \| 2002 \| hack \| "obsession" \| dr. martin shan \| None row 13 : tv series \| 2005 \| law & order \| "mammon" \| aaron solomon \| 5 episodes total row 14 : tv series \| 2006 \| brothers & sisters \| "light the lights" \| major guinness \| None row 15 : tv series \| 2006 \| justice \| "wrongful death" \| lloyd barrett \| None row 16 : tv series \| 2006 \| law & order \| "profiteer" \| aaron solomon \| 5 episodes total row 17 : tv series \| 2007 \| critical situation \| "nightmare on mt. \| narrator \| voice actor; also known as situation critical row 18 : tv series \| 2007 \| undercover history \| "the hunt for hitler" "the hunt \| narrator \| voice actor; 6 episodes total row 19 : tv series \| 2008 \| undercover history \| "unabomber: the secret history" \| narrator/himself \| voice actor; 6 episodes total row 20 : film \| 2009 \| the taking of pelham 123 \| None \| deputy mayor lasalle \| None row 21 : tv series \| 2009 \| timewatch \| "the real bonnie and clyde \| narrator \| voice actor row 22 : tv series \| 2010 \| the big c \| "pilot" "summer time" "there \| sean tolkey \| 36 episodes total row 23 : tv series \| 2011 \| a gifted man \| "in case of exposure" \| ben tucker \| None row 24 : tv series \| 2011 \| the good wife \| "great firewall" \| neil gross \| 3 episodes total row 25 : tv series \| 2012 \| the big c \| "thin ice" "what's \| sean tolkey \| 36 episodes total ] Execute this SQL based on the above table: select count ( title ) where role = 'tom'	1
[ header: team \| location \| stadium \| capacity \| manager \| captain \| kit manufacturer \| shirt sponsor row 1 : auckland city fc \| auckland \| kiwitea street \| 3500 \| ramon tribulietx \| ivan vicelich \| nike \| trillian trust inc row 2 : canterbury united \| christchurch \| asb football park \| 9000 \| keith braithwaite \| dan terris \| samurai \| robbie's bar and bistro row 3 : hawke's bay united \| napier \| bluewater stadium \| 5000 \| chris greatholder \| bill robertson \| samurai \| kinetic electrical row 4 : otago united \| dunedin \| forsyth barr stadium \| 30500 \| richard murray \| tristan prattley \| canterbury \| gran's remedy row 5 : team wellington \| wellington \| david farrington park \| 3000 \| matt calcott \| karl whalen \| adidas \| exodus health & fitness club row 6 : waikato fc \| hamilton \| porritt stadium \| 2700 \| mark cossey \| adam thomas \| nike \| the soccer shop row 7 : waitakere united \| waitakere city \| fred taylor park \| 2500 \| paul marshall \| jake butler \| lotto sport italia \| cuesports foundation row 8 : youngheart manawatu \| palmerston north \| memorial park \| 8000 \| stu jacobs \| nathan cooksley \| nike \| new zealand pharmaceuticals ] Execute this SQL based on the above table: select count ( location ) where captain = 'jake butler'	1
[ header: date \| round \| opponent \| venue \| result \| attendance \| scorers row 1 : 16 september 1992 \| r1 \| lyngby \| h \| 2-0 \| 40036 \| hateley, huistra row 2 : 30 september 1992 \| r1 \| lyngby \| a \| 1-0 \| 4273 \| durrant row 3 : 21 october 1992 \| r2 \| leeds united \| h \| 2-1 \| 43251 \| mccoist, lukic row 4 : 4 november 1992 \| r2 \| leeds united \| a \| 2-1 \| 25118 \| hateley, mccoist row 5 : 25 november 1992 \| gs \| marseille \| h \| 2-2 \| 41624 \| mcswegan, hateley row 6 : 9 december 1992 \| gs \| cska moscow \| a \| 1-0 \| 9000 \| ferguson row 7 : 3 march 1993 \| gs \| club brugge \| a \| 1-1 \| 19000 \| huistra row 8 : 17 march 1993 \| gs \| club brugge \| h \| 2-1 \| 42731 \| durrant, nisbet row 9 : 7 april 1993 \| gs \| marseille \| a \| 1-1 \| 46000 \| durrant row 10 : 21 april 1993 \| gs \| cska moscow \| h \| 0-0 \| 43142 \| None ] Execute this SQL based on the above table: select scorers where scorers in ( 'hateley, huistra' , '9 december 1992' ) group by scorers order by count ( result ) desc limit 1	hateley, huistra
[ header: date \| venue \| opponents \| score \| competition \| scotland scorer(s) row 1 : 21 october 1950 \| ninian park, cardiff (a \| wales \| 3-1 \| bhc \| lawrie reilly (2), billy row 2 : 1 november 1950 \| hampden park, glasgow \| northern ireland \| 6-1 \| bhc \| billy steel (4), john m row 3 : 13 december 1950 \| hampden park, glasgow \| austria \| 0-1 \| friendly \| None row 4 : 14 april 1951 \| wembley stadium, london \| england \| 3-2 \| bhc \| bobby johnstone, lawrie row 5 : 12 may 1951 \| hampden park, glasgow \| denmark \| 3-1 \| friendly \| billy steel, lawrie reilly row 6 : 16 may 1951 \| hampden park, glasgow \| france \| 1-0 \| friendly \| lawrie reilly row 7 : 20 may 1951 \| heysel stadium, brussel \| belgium \| 5-0 \| friendly \| george hamilton (3), row 8 : 27 may 1951 \| prater stadium, vienna ( \| austria \| 0-4 \| friendly \| None ] Execute this SQL based on the above table: select score where score != '0-4'	3-1, 6-1, 0-1, 3-2, 3-1, 1-0, 5-0
[ header: week \| date \| kickoff \| opponent \| results final score \| results team record \| game site \| attendance row 1 : 1 \| saturday, april 13 \| 7:00 p.m \| at rhein fire \| w 27-21 \| 1-0 \| rheinstadion \| 32092 row 2 : 2 \| saturday, april 20 \| 7:00 p.m \| london monarchs \| w 37-3 \| 2-0 \| waldstadion \| 34186 row 3 : 3 \| sunday, april 28 \| 6:00 p.m \| at barcelona dragons \| w 33-29 \| 3-0 \| estadi olimpic de mont \| 17503 row 4 : 4 \| sunday, may 5 \| 7:00 p.m \| amsterdam admirals \| w 40-28 \| 4-0 \| waldstadion \| 28627 row 5 : 5 \| saturday, may 11 \| 7:00 p.m \| scottish claymores \| l 0-20 \| 4-1 \| waldstadion \| 32126 row 6 : 6 \| sunday, may 19 \| 3:00 p.m \| at london monarchs \| l 7-27 \| 4-2 \| white hart lane \| 10764 row 7 : 7 \| sunday, may 26 \| 3:00 p.m \| at scottish claymores \| l 17-20 \| 4-3 \| murrayfield stadium \| 13116 row 8 : 8 \| saturday, june 1 \| 7:00 p.m \| rhein fire \| l 8-31 \| 4-4 \| waldstadion \| 38798 row 9 : 9 \| saturday, june 8 \| 7:00 p.m \| barcelona dragons \| w 24-21 \| 5-4 \| waldstadion \| 33115 row 10 : 10 \| saturday, june 15 \| 6:30 p.m \| at amsterdam admirals \| w 28-20 \| 6-4 \| olympisch stadion \| 14062 row 11 : 11 \| sunday, june 23 \| 6:00 p.m \| at scottish claymores \| l 27-32 \| 6-5 \| murrayfield stadium \| 38982 ] Execute this SQL based on the above table: select attendance where results final score = 'w 33-29'	17503