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symbolic-instruction-tuning-sql

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Split (1)

train · 200k rows

inputs stringlengths 291 3.71k	targets stringlengths 1 2.65k
[ header: year \| miss northern ireland \| hometown \| placement at miss world \| notes row 1 : 2012 \| tiffany brien \| belfast \| top 30 \| top 10 of beach fashion and 1st row 2 : 2011 \| finola guinnane \| drumbo \| non-finalist \| top 20 of beach beauty and top 77 of row 3 : 2010 \| lori moore \| belfast \| top 25 \| winner of sports at miss world 2010 row 4 : 2009 \| cherie gardiner \| bangor \| non-finalist \| None row 5 : 2008 \| judith wilson \| enniskillen \| non-finalist \| top 19 of talent at miss world 2008 row 6 : 2007 \| melissa patton \| belfast \| non-finalist \| None row 7 : 2006 \| catherine jean milligan \| newtownards \| top 17 \| winner of miss talent at miss world 2006 row 8 : 2005 \| lucy evangelista \| portglenone \| top 15 \| later miss united kingdom 2005 and miss universe united kingdom row 9 : 2004 \| kirsty anne gabriel stew \| enniskillen \| non-finalist \| None row 10 : 2003 \| diana sayers \| belfast \| non-finalist \| None row 11 : 2002 \| gayle williamson \| lurgan \| non-finalist \| later miss united kingdom 2002 row 12 : 2001 \| angela mccarthy \| belfast \| non-finalist \| None row 13 : 2000 \| julie lee-ann mart \| belfast \| non-finalist \| None ] Execute this SQL based on the above table: select miss northern ireland where miss northern ireland = 'julie lee-ann martin' order by year asc limit 1	julie lee-ann martin
[ 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 language order by place desc limit 1	german
[ 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 year where code = 'm'	1941
[ header: name \| faith \| type \| gov \| opened \| intake \| dcsf number \| ofsted number \| web \| coordinates row 1 : ashfield \| None \| junior \| vc \| 1845 \| 60 \| 3012 \| 117391 \| w \| 51°38′22′′n 0° row 2 : bournehall \| None \| primary \| cy \| 1969 \| 30 \| 2360 \| 117296 \| w \| 51°39′00′′n 0° row 3 : bushey heath \| None \| primary \| cy \| 1879 \| 30 \| 2012 \| 117088 \| w \| 51°38′12′′n 0° row 4 : bushey manor \| None \| junior \| cy \| 1907 \| 60 \| 2261 \| 117242 \| w \| 51°38′49′′n 0° row 5 : falconer \| None \| special \| cy \| None \| None \| 7033 \| 117686 \| w \| 51°38′49′′n 0° row 6 : hartsbourne \| None \| primary \| cy \| None \| 30 \| 2372 \| 117300 \| w \| 51°37′52′′n 0° row 7 : highwood \| None \| primary \| cy \| 1949 \| 60 \| 2013 \| 117089 \| w \| 51°39′57′′n 0° row 8 : little reddings \| None \| primary \| fd \| None \| 51 \| 5208 \| 117568 \| w \| 51°38′51′′n 0° row 9 : meadow wood \| None \| special \| cy \| None \| None \| 7043 \| 117691 \| w \| 51°38′54′′n 0° row 10 : merry hill \| None \| infants \| cy \| 1885 \| 60 \| 2014 \| 117090 \| w \| 51°38′17′′n 0° row 11 : sacred heart \| rc \| primary \| va \| 1970 \| 40 \| 3415 \| 117488 \| w \| 51°38′38′′n 0° ] Execute this SQL based on the above table: select count ( type ) where opened > 1969	1
[ header: date \| city \| venue \| member \| performance \| notes row 1 : 15 january \| dublin \| rte studios \| brian & roger \| (1) "we will rock you" (2) "we \| the late late show row 2 : 31 january \| dublin \| the o2 \| brian \| (1) "bohemian rhap \| matinee and evening performances. roger row 3 : 10 may \| london \| dominion theatre \| brian & roger \| (1) "bohemian rhap \| 8th anniversary row 4 : 3 september \| utrecht \| beatrix theatre \| brian \| (1) "bohemian rhap \| None row 5 : 4 september \| london \| dominion theatre \| brian \| (1) "bohemian rhap \| matinee and evening performances row 6 : 12 september \| stockholm \| cirkus arena restaurang \| brian \| (1) "bohemian rhap \| None row 7 : 21 october \| berlin \| theater des westens \| brian \| (1) "bohemian rhap \| None ] Execute this SQL based on the above table: select count ( * ) where member is null	0
[ header: draw \| country \| language \| artist \| song \| english translation \| national final \| place \| points row 1 : 1 \| malta \| english \| claudia faniello \| "caravaggio" \| None \| 2nd \| 13 \| 53 row 2 : 2 \| israel \| hebrew \| bo'az ma'uda \| "parparim" \| butterflies \| 3rd \| 8 \| 90 row 3 : 3 \| russia \| english \| sergey lazarev \| "flyer" \| None \| 4th \| 7 \| 119 row 4 : 4 \| estonia \| english \| rolf junior \| "one on one" \| None \| 4th \| 21 \| 0 row 5 : 5 \| belgium \| english \| sandrine \| "i feel the same way" \| None \| 2nd \| 10 \| 64 row 6 : 6 \| macedonia \| macedonian \| risto samardziev \| "dojdi do mene" \| come to me \| 3rd \| 19 \| 7 row 7 : 7 \| poland \| english \| man meadow \| "viva la musica" \| hail to the music \| 3rd \| 3 \| 155 row 8 : 8 \| finland \| finnish \| mikael konttinen \| "milloin" \| when \| None \| 14 \| 46 row 9 : 9 \| germany \| german \| carolin fortenbacher \| "hinterm ozean" \| beyond the ocean \| 2nd \| 6 \| 129 row 10 : 10 \| denmark \| english \| kendra lou \| "until we're satisfied" \| None \| 4th \| 18 \| 21 row 11 : 11 \| greece \| english \| kostas martakis \| "always and forever" \| None \| 2nd \| 4 \| 140 row 12 : 12 \| serbia \| serbian \| beauty queens \| "zavet" \| a pledge \| 3rd \| 9 \| 68 row 13 : 13 \| croatia \| croatian \| emilija kokic \| "andjeo" \| angel \| 6th \| 15 \| 31 row 14 : 14 \| lithuania \| english \| aiste pilvelyte \| "troy on fire" \| None \| 2nd \| 17 \| 26 row 15 : 15 \| ireland \| english \| leona daly \| "not crazy after all" \| None \| None \| 12 \| 56 row 16 : 16 \| united kingdom \| english \| the revelations \| "it's you" \| None \| 3rd \| 16 \| 29 row 17 : 17 \| portugal \| portuguese \| lisboa nao \| "porto de encontro" \| meeting harbour \| 9th \| 20 \| 6 row 18 : 18 \| sweden \| english \| sanna nielsen \| "empty room" \| None \| 2nd \| 1 \| 269 row 19 : 19 \| norway \| english \| veronica akselsen \| "am i supposed to love again" \| None \| 4th \| 5 \| 139 row 20 : 20 \| slovenia \| slovene \| brigita suler \| "samara" \| None \| 3rd \| 11 \| 57 row 21 : 21 \| spain \| spanish \| coral \| "todo esta en t \| everything is in your mind \| 2nd \| 2 \| 178 ] Execute this SQL based on the above table: select count ( national final )	19
[ header: 0 \| polo row 1 : 1 \| əsad row 2 : 2 \| darwa row 3 : 3 \| tolo row 4 : 4 \| əpat row 5 : 5 \| lima row 6 : 7 \| pito row 7 : 8 \| walo row 8 : 9 \| siyam row 9 : 12 \| samdarwa row 10 : 14 \| sampat row 11 : 15 \| samlima row 12 : 17 \| sampito row 13 : 18 \| samwalo row 14 : 20 \| darwampolo row 15 : 21 \| darwamsad row 16 : 22 \| darwamdarwa row 17 : 23 \| darwamtolo row 18 : 24 \| darwampat row 19 : 25 \| darwamlima row 20 : 26 \| darwamnəm row 21 : 27 \| darwampito row 22 : 28 \| darwamwalo row 23 : 29 \| darwamsiyam row 24 : 30 \| tolompolo row 25 : 31 \| tolomsad row 26 : 32 \| tolomdarwa row 27 : 33 \| tolomtolo row 28 : 34 \| tolompat row 29 : 35 \| tolomlima row 30 : 36 \| tolomnəm row 31 : 37 \| tolompito row 32 : 38 \| tolomwalo row 33 : 39 \| tolomsiyam row 34 : 40 \| pampolo row 35 : 41 \| pamsad row 36 : 42 \| pamdarwa row 37 : 45 \| pamlima row 38 : 47 \| pampito row 39 : 48 \| pamwalo row 40 : 49 \| pamsiyam row 41 : 50 \| limampolo row 42 : 51 \| limamsad row 43 : 52 \| limamdarwa row 44 : 55 \| limamlima row 45 : 56 \| limamnəm row 46 : 57 \| limampito row 47 : 58 \| limamwalo row 48 : 59 \| limamsiyam row 49 : 60 \| nəmpolo row 50 : 61 \| nəmsad row 51 : 62 \| nəmdarwa row 52 : 63 \| nəmtolo row 53 : 65 \| nəmlima row 54 : 66 \| nəmnəm row 55 : 68 \| nəmwalo row 56 : 69 \| nəmsiyam row 57 : 70 \| pitompolo row 58 : 71 \| pitomsad row 59 : 72 \| pitomdarwa row 60 : 73 \| pitomtolo row 61 : 74 \| pitompat row 62 : 75 \| pitomlima row 63 : 76 \| pitomnəm row 64 : 79 \| pitomsiyam row 65 : 80 \| walompolo row 66 : 81 \| walomsad row 67 : 82 \| walomdarwa row 68 : 84 \| walompat row 69 : 85 \| walomlima row 70 : 86 \| walomnəm row 71 : 87 \| walompito row 72 : 88 \| walomwalo row 73 : 89 \| walomsiyam row 74 : 90 \| yampolo row 75 : 91 \| yamsad row 76 : 92 \| yamdarwa row 77 : 93 \| yamtolo row 78 : 94 \| yampat row 79 : 95 \| yamlima row 80 : 97 \| yampito ] Execute this SQL based on the above table: select polo where 0 = ( select 0 where polo = 'walomlima' ) + 1	walomnəm
[ header: name \| country \| top rugby league level \| top union level \| top representation level \| rugby league debut \| rugby union debut row 1 : karmichael hunt \| new zealand, australia \| national rugby league \| top 14, biarritz olymp \| australia (rl) \| 2004 \| 2009 row 2 : chris ashton \| england \| super league \| english premiership \| england (rl), eng \| 2005 \| 2007 row 3 : lee smith \| england \| super league \| english premiership \| england (rl), great \| 2005 \| 2009 row 4 : berrick barnes \| australia \| nrl \| super rugby \| australia (ru) \| 2005 \| 2006 row 5 : nathan blacklock \| australia \| nrl/super league \| super 12 \| australia (rl) \| 1995 \| 2003 row 6 : willie carne \| australia \| nrl \| super rugby \| australia (rl) \| 1990 \| 1997 row 7 : brian carney \| ireland \| super league/nrl \| celtic league \| great britain (rl), \| 1999 \| 2007 row 8 : andy farrell \| england \| super league \| english premiership \| great britain (rl), \| 1991 \| 2005 row 9 : paul franze \| australia \| nrl \| english premiership \| australia (rl), london \| 2002 \| 2006 row 10 : iestyn harris \| wales \| super league \| heineken cup, celtic league \| great britain (rl), \| 1993 \| 2001 row 11 : sam harris \| australia \| nrl \| super rugby \| australian schoolboys (ru), city \| 2003 \| 2007 row 12 : wise kativerata \| australia \| nrl \| shute shield \| australia sevens (ru) \| 2001 \| 2004 row 13 : ben macdougall \| australia \| nrl \| celtic league \| scotland (ru) \| 1998 \| 2006 row 14 : henry paul \| new zealand \| nrl \| english premiership \| new zealand (rl), \| 1993 \| 2001 row 15 : jason robinson \| england \| super league \| english premiership \| great britain (rl), \| 1991 \| 1996 row 16 : mat rogers \| australia \| nrl \| super rugby \| australia (rl/ru) \| 1995 \| 2002 row 17 : clinton schifcofske \| australia \| nrl/super league \| super rugby \| state of origin {rl), australia \| 1996 \| 2006 row 18 : timana tahu \| australia \| nrl \| super rugby \| australia (rl/ru) \| 1999 \| 2008 row 19 : alan tait \| scotland \| super league \| celtic league \| scotland (rl/r \| 1988 \| 1996 row 20 : brad thorn \| australia \| nrl \| super rugby \| australia (rl), new zealand \| 1994 \| 2001 row 21 : andrew walker \| australia \| nrl \| super rugby \| australia (rl/ru) \| 1991 \| 2000 row 22 : chev walker \| england \| super league \| english premiership \| great britain (rl), \| 1999 \| 2007 row 23 : craig wing \| australia \| nrl \| top league \| australian kangaroos (r \| 2002 \| 2010 ] Execute this SQL based on the above table: select country where country in ( 'australia' , 'scotland' ) order by country desc limit 1	scotland
[ header: date \| winning team \| score \| losing team \| score \| ot \| city \| state/province \| arena \| attendance row 1 : october 21, 1993 \| st. louis \| 5 \| san jose \| 2 \| None \| sacramento \| ca \| arco arena \| 7144 row 2 : october 31, 1993 \| ny rangers \| 4 \| new jersey \| 1 \| None \| halifax \| ns \| halifax metro centre \| 8200 row 3 : november 3, 1993 \| pittsburgh \| 6 \| buffalo \| 2 \| None \| sacramento \| ca \| arco arena \| 10117 row 4 : november 9, 1993 \| anaheim \| 4 \| dallas \| 2 \| None \| phoenix \| az \| america west arena \| 8143 row 5 : november 18, 1993 \| ny islanders \| 5 \| montreal \| 1 \| None \| hamilton \| on \| copps coliseum \| 17008 row 6 : december 9, 1993 \| dallas \| 6 \| ottawa \| 1 \| None \| minneapolis \| mn \| target center \| 14058 row 7 : december 23, 1993 \| vancouver \| 4 \| calgary \| 3 \| None \| saskatoon \| sk \| saskplace \| 11429 row 8 : december 31, 1993 \| philadelphia \| 4 \| boston \| 3 \| None \| minneapolis \| mn \| target center \| 10855 row 9 : january 4, 1994 \| tampa bay \| 1 \| toronto \| 0 \| None \| hamilton \| on \| copps coliseum \| 17526 row 10 : january 5, 1994 \| montreal \| 2 \| quebec \| 0 \| None \| phoenix \| az \| america west arena \| 11393 row 11 : january 6, 1994 \| st. louis \| 2 \| hartford \| 1 \| None \| cleveland \| oh \| richfield coliseum \| 6956 row 12 : january 17, 1994 \| detroit \| 6 \| tampa bay \| 3 \| None \| minneapolis \| mn \| target center \| 8764 row 13 : january 23, 1994 \| vancouver \| 5 \| edmonton \| 4 \| (ot) \| saskatoon \| sk \| saskplace \| None row 14 : january 24, 1994 \| calgary \| 3 \| los angeles \| 3 \| (ot) \| phoenix \| az \| america west arena \| 14864 row 15 : february 2, 1994 \| washington \| 5 \| philadelphia \| 2 \| None \| cleveland \| oh \| richfield coliseum \| 8312 row 16 : february 8, 1994 \| san jose \| 4 \| chicago \| 3 \| None \| sacramento \| ca \| arco arena \| 14182 row 17 : february 22, 1994 \| florida \| 3 \| winnipeg \| 2 \| None \| hamilton \| on \| copps coliseum \| 6291 row 18 : february 24, 1994 \| detroit \| 3 \| hartford \| 0 \| None \| cleveland \| oh \| richfield coliseum \| 11621 row 19 : march 8, 1994 \| chicago \| 3 \| anaheim \| 0 \| None \| phoenix \| az \| america west arena \| 13847 row 20 : march 9, 1994 \| ny rangers \| 7 \| washington \| 5 \| None \| halifax \| ns \| halifax metro centre \| 9200 row 21 : march 18, 1994 \| buffalo \| 2 \| ny islanders \| 2 \| (ot) \| minneapolis \| mn \| target center \| 8016 ] Execute this SQL based on the above table: select score where arena = 'richfield coliseum'	1, 2, 0
[ header: institution \| location \| founded \| type \| enrollment \| joined \| nickname row 1 : bryan college \| dayton, tennessee \| 1930 \| private (non-denominational) \| 1044 \| 2001 \| lions row 2 : columbia college \| columbia, south carolina \| 1854 \| private (methodist) \| 1200 \| 2011 \| fighting koalas row 3 : milligan college \| elizabethton, \| 1866 \| private (disciples of christ) \| 1006 \| 2001 \| buffaloes row 4 : montreat college \| montreat, north carolina \| 1916 \| private (presbyterian) \| 1145 \| 2001 \| cavaliers row 5 : point university \| west point, georgia \| 1937 \| private (christian churches and churches of \| 1000 \| 2011 \| skyhawks row 6 : reinhardt university \| waleska, georgia \| 1883 \| private (methodist) \| 1057 \| 2009 \| eagles row 7 : st. andrews university \| laurinburg, north carolina \| 1958 \| private \| 800 \| 2012 \| knights row 8 : savannah college of art and design \| atlanta, georgia \| 2005 \| private \| 2000 \| 2012 \| bees row 9 : tennessee wesleyan college \| athens, tennessee \| 1857 \| private (methodist) \| 1103 \| 2001 \| bulldogs row 10 : truett-mcconnell college \| cleveland, georgia \| 1946 \| private/christian (baptist) \| 550 \| 2013 \| bears row 11 : union college \| barbourville, kentucky \| 1879 \| private/christian (methodist) \| 1368 \| 2001 \| bulldogs row 12 : virginia intermont college \| bristol, virginia \| 1884 \| private/christian (baptist) \| 916 \| 2001 \| cobras ] Execute this SQL based on the above table: select type where joined = ( select joined where type = 'private (methodist)' ) + 1	private, private
[ header: year \| title \| chart-positions uk \| chart-positions us \| chart-positions nl \| comments row 1 : 1969 \| renaissance \| 60 \| None \| 10 \| None row 2 : 1971 \| illusion \| None \| None \| None \| 1976 (uk) row 3 : 1972 \| prologue \| None \| None \| None \| None row 4 : 1973 \| ashes are burning \| None \| 171 \| None \| None row 5 : 1974 \| turn of the cards \| None \| 94 \| None \| 1975 (uk) row 6 : 1975 \| scheherazade and other stories \| None \| 48 \| None \| None row 7 : 1977 \| novella \| None \| 46 \| None \| 1977 (january in us, august in row 8 : 1978 \| a song for all seasons \| 35 \| 58 \| None \| uk:silver row 9 : 1979 \| azure d'or \| 73 \| 125 \| None \| None row 10 : 1981 \| camera camera \| None \| 196 \| None \| None row 11 : 1983 \| time-line \| None \| 207 \| None \| None row 12 : 2001 \| tuscany \| None \| None \| None \| None row 13 : 2013 \| grandine il vento \| None \| None \| None \| None ] Execute this SQL based on the above table: select title where year = 1971	illusion
[ header: year \| title \| role \| notes row 1 : 1980 \| the flintstone comedy hour \| freaky frankenstone \| voice episode: "rv fever/birthday row 2 : 1980 \| steve martin: comedy is not \| unnamed terrorist \| reubens played an unnamed terrorist row 3 : 1980 \| steve martin: all commercials \| multiple roles \| reubens played multiple roles in multiple ski row 4 : 1981 \| mork & mindy \| dickie nimitz \| episode: "long before we met" row 5 : 1981 \| the pee-wee herman show \| pee-wee herman \| tv movie row 6 : 1982 \| madame's place \| pee-wee herman \| episode: "episode #1. row 7 : 1984 \| faerie tale theatre \| pinocchio \| episode: "pinocchio" row 8 : 1985 \| saturday night live \| pee-wee herman \| host episode: "pee-wee her row 9 : 1986-1990 \| pee-wee's playhouse \| pee-wee herman \| creator, writer, director of 3 episodes daytime row 10 : 1988 \| sesame street \| pee-wee herman \| episode:"put down the duckie" row 11 : 1995-1997 \| murphy brown \| andrew j. lansing \| 6 episodes nominated - primetime row 12 : 2001 \| ally mcbeal \| louis \| episode: "cloudy skies, chance of parade row 13 : 2006 \| campus ladies \| drama instructor \| episode: "drama class" row 14 : 2006 \| reno 911! \| rick \| episode: "rick's on it" row 15 : 2006 \| tom goes to the mayor \| paul \| voice episode: "puddins" row 16 : 2006 \| re-animated \| golly gopher \| voice tv movie row 17 : 2007 \| area 57 \| alien \| unaired pilot row 18 : 2007 \| 30 rock \| gerhardt hapsburg \| episode: "black tie" row 19 : 2007 \| tim and eric awesome show, great \| the moon \| episode: "cats" row 20 : 2007-2009 \| chowder \| reuben \| voice 3 episodes row 21 : 2007 \| pushing daisies \| oscar vibenius \| 2 episodes row 22 : 2009-2011 \| batman: the brave and the bold \| bat-mite \| voice 4 episodes row 23 : 2012-2013 \| tron: uprising \| pavel \| voice 17 episodes row 24 : 2012 \| robot chicken dc comics special \| the riddler \| voice tv movie row 25 : 2013 \| comedy bang! bang! \| pee-wee herman \| episode: "pee wee herman wear ] Execute this SQL based on the above table: select count ( distinct role )	20
[ header: draw \| artist \| song \| points \| place row 1 : 1 \| gonzaga coutinho \| "tema para um homem so" \| 102 \| 5th row 2 : 2 \| pedro osorio \| "uma cancao comercial" \| 123 \| 3rd row 3 : 3 \| concha \| "qualquer dia, quem dir \| 78 \| 6th row 4 : 4 \| gabriela schaaf \| "eu so quero" \| 132 \| 2nd row 5 : 5 \| toze brito \| "novo canto portugues" \| 110 \| 4th row 6 : 6 \| teresa silva carval \| "cantemos ate ser dia" \| 52 \| 9th row 7 : 7 \| florencia \| "o comboio do tua \| 63 \| 8th row 8 : 8 \| manuel jose soares \| "quando chego a casa \| 76 \| 7th row 9 : 9 \| manuela bravo \| "sobe, sobe, bala \| 149 \| 1st ] Execute this SQL based on the above table: select artist order by draw desc limit 1	manuela bravo
[ header: kant \| latitude \| longitude \| diameter row 1 : b \| 9.7° s \| 18.6° e \| 16 km row 2 : c \| 9.3° s \| 22.1° e \| 20 km row 3 : d \| 11.5° s \| 18.7° e \| 52 km row 4 : g \| 9.2° s \| 19.5° e \| 32 km row 5 : h \| 9.1° s \| 20.8° e \| 7 km row 6 : n \| 9.9° s \| 19.7° e \| 10 km row 7 : o \| 12.0° s \| 17.2° e \| 7 km row 8 : p \| 10.8° s \| 17.4° e \| 5 km row 9 : q \| 13.1° s \| 18.8° e \| 5 km row 10 : s \| 11.5° s \| 19.7° e \| 5 km row 11 : t \| 11.3° s \| 20.2° e \| 5 km row 12 : z \| 10.4° s \| 17.5° e \| 3 km ] Execute this SQL based on the above table: select kant order by diameter desc limit 1	d
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| great britain (gbr) \| 6 \| 3 \| 2 \| 11 row 2 : 2 \| south africa (rsa) \| 1 \| 2 \| 1 \| 4 row 3 : 3 \| canada (can) \| 1 \| 1 \| 0 \| 2 row 4 : 4 \| australia (aus) \| 0 \| 1 \| 1 \| 2 row 5 : 4 \| hong kong (hkg) \| 0 \| 1 \| 1 \| 2 row 6 : 6 \| israel (isr) \| 0 \| 0 \| 2 \| 2 row 7 : 7 \| south korea (kor) \| 0 \| 0 \| 1 \| 1 ] Execute this SQL based on the above table: select count ( nation ) where bronze > 1376	0
[ header: year \| title \| role \| notes row 1 : 1999 \| bob rizzo's simply \| himself \| as matthew j. morrison row 2 : 2003 \| marci x \| boyz r us \| as matthew j. morrison row 3 : 2005 \| once upon a mattress \| sir harry \| None row 4 : 2006 \| blinders \| scott \| None row 5 : 2007 \| music and lyrics \| ray \| None row 6 : 2007 \| dan in real life \| policeman \| None row 7 : 2007 \| i think i love my wife \| salesman #2 \| None row 8 : 2011 \| the muppets \| mahna mahna host \| None row 9 : 2012 \| what to expect when you're expecting \| evan \| None ] Execute this SQL based on the above table: select ( select year where title = 'i think i love my wife' ) > ( select year where title = 'the muppets' )	0
[ header: club \| league \| sport \| venue \| established \| championships row 1 : madison mustangs \| ifl \| american football \| breitenbach stadium \| 1997 \| 4 consecutive ironbowls row 2 : madison mallards \| nl \| baseball \| warner park \| 2001 \| 1 championship row 3 : madison 56ers \| npsl \| soccer \| breese stevens field \| 2005 \| 0 championships row 4 : wisconsin rugby club \| wrfu \| rugby \| wisconsin rugby club sports complex \| 1962 \| 2 championships row 5 : madison minotaurs \| wrfu \| rugby \| yahara rugby field \| 2007 \| 0 bingham cups row 6 : wisconsin badgers \| big ten, ncaa div \| 23 varsity teams \| camp randall stadium, kohl center \| 1849 \| 27 championships row 7 : edgewood eagles \| nacc, ncaa div \| 16 varsity teams \| edgedome \| 1974 \| 35 championships row 8 : madison college wolfpack \| n4c, njcaa \| 8 varsity teams \| redsten gymnasium, roberts \| 1912 \| 21 championships row 9 : mad rollin' dolls \| wftda \| roller derby \| alliant energy center \| 2005 \| 0 championships row 10 : madison blues \| glhl \| hockey \| capitol ice arena \| 2010 \| 0 championships ] Execute this SQL based on the above table: select championships where championships != '0 bingham cups' and league = ( select league where championships = '0 bingham cups' )	2 championships
[ header: team 1 \| agg. \| team 2 \| 1st leg \| 2nd leg row 1 : dr congo \| None \| chad \| None \| None row 2 : ethiopia \| None \| equatorial guinea \| None \| None row 3 : swaziland \| None \| mauritius \| None \| None row 4 : djibouti \| None \| madagascar \| None \| None row 5 : sierra leone \| 2-2 (1-3 p) \| liberia \| 1-1 \| 1-1 row 6 : somalia \| 0-1 \| sudan \| 0-0 \| 0-1 row 7 : botswana \| 1-0 \| namibia \| 1-0 \| 0-0 ] Execute this SQL based on the above table: select 1st leg order by team 2 desc limit 1	0-0
[ header: # \| date \| opponent \| score \| win \| loss \| save \| attendance \| record row 1 : 107 \| august 3 \| red sox \| 7 - 4 \| green (5-1) \| timlin (1-1) \| putz (32) \| 46235 \| 60-47 row 2 : 110 \| august 7 \| @ orioles \| 10 - 3 \| weaver (3-10) \| walker (1-2) \| None \| 25060 \| 61-49 row 3 : 111 \| august 8 \| @ orioles \| 8 - 4 \| hernandez (8-6) \| guthrie (7-4) \| putz (33) \| 17511 \| 62-49 row 4 : 112 \| august 9 \| @ orioles \| 13 - 8 \| ramirez (7-3) \| cabrera (8-12) \| sherrill (1) \| 18679 \| 63-49 row 5 : 113 \| august 10 \| @ white sox \| 5 - 3 \| vazquez (10-6) \| washburn (8-9) \| jenks (33) \| 38586 \| 63-50 row 6 : 114 \| august 11 \| @ white sox \| 7 - 6 \| batista (12-8) \| floyd (1-2) \| putz (34) \| 38210 \| 64-50 row 7 : 115 \| august 12 \| @ white sox \| 6 - 0 \| weaver (4-10) \| danks (6-10) \| None \| 36629 \| 65-50 row 8 : 117 \| august 14 \| twins \| 11 - 3 \| garza () \| ramirez (7-4) \| None \| 33729 \| 66-51 row 9 : 118 \| august 15 \| twins \| 6 - 1 \| neshek (7-2) \| washburn (8-10) \| None \| 42921 \| 66-52 row 10 : 119 \| august 17 \| white sox \| 5 - 4 \| batista (13-8) \| contreras (6-15) \| putz (35) \| 46170 \| 67-52 row 11 : 120 \| august 18 \| white sox \| 7 - 5 \| weaver (5-10) \| danks (6-11) \| putz (36) \| 41121 \| 68-52 row 12 : 121 \| august 19 \| white sox \| 11 - 5 \| hernandez (9-6) \| garland (8-9) \| None \| 45668 \| 69-52 row 13 : 122 \| august 20 \| @ twins \| 9 - 4 \| ramirez (8-4) \| garza (2-4) \| None \| 31755 \| 70-52 row 14 : 123 \| august 21 \| @ twins \| 7 - 2 \| washburn (9-10) \| baker (6-6) \| None \| 42373 \| 71-52 row 15 : 124 \| august 22 \| @ twins \| 8 - 4 \| silva (10-12) \| batista (13-9) \| None \| 29881 \| 71-53 row 16 : 125 \| august 23 \| @ rangers \| 9 - 4 \| weaver (6-10) \| loe (6-10) \| None \| 26963 \| 72-53 row 17 : 127 \| august 25 \| @ rangers \| 5 - 3 \| benoit (7-3) \| white (1-1) \| wilson (8) \| 47977 \| 73-54 row 18 : 128 \| august 26 \| @ rangers \| 5 - 3 \| padilla (4-9) \| washburn (9-11) \| None \| 25437 \| 73-55 row 19 : 129 \| august 27 \| angels \| 6 - 0 \| lackey (16-8) \| batista (13-10) \| None \| 45998 \| 73-56 row 20 : 130 \| august 28 \| angels \| 10 - 6 \| speier (2-3) \| morrow (3-3) \| None \| 44395 \| 73-57 row 21 : 131 \| august 29 \| angels \| 8 - 2 \| weaver (10-6) \| hernandez (10-7) \| None \| 46047 \| 73-58 row 22 : 132 \| august 30 \| @ indians \| 6 - 5 \| borowski (3-5) \| o'flaherty (7- \| None \| 25949 \| 73-59 ] Execute this SQL based on the above table: select date where id = ( select id where date = 'august 25' ) + 1	august 26
[ header: record \| athlete \| nation \| venue \| date \| # row 1 : 4.08 m (13 ft 41 \| sun caiyun \| china \| taiyuan, china \| 18 may 1995 \| 2 row 2 : 4.08 m (13 ft 41 \| zhong guiqing \| china \| taiyuan, china \| 18 may 1995 \| 1 row 3 : 4.13 m (13 ft \| daniela bartova \| czech republic \| wesel, germany \| 24 june 1995 \| 3 row 4 : 4.16 m (13 ft \| daniela bartova \| czech republic \| feldkirch, austria \| 14 july 1995 \| 6 row 5 : 4.18 m (13 ft \| andrea muller \| germany \| zittau, germany \| 5 august 1995 \| 1 row 6 : 4.20 m (13 ft \| daniela bartova \| czech republic \| koln, germany \| 18 august 1995 \| 8 row 7 : 4.22 m (13 ft 10 \| daniela bartova \| czech republic \| salgotarjan, hungary \| 11 september 1995 \| 10 row 8 : 4.41 m (14 ft 51 \| emma george \| australia \| perth, australia \| 28 january 1996 \| 3 row 9 : 4.42 m (14 ft 6 \| emma george \| australia \| reims, france \| 29 june 1996 \| 4 row 10 : 4.45 m (14 ft 7 \| emma george \| australia \| sapporo, japan \| 14 july 1996 \| 5 row 11 : 4.55 m (14 ft 11 \| emma george \| australia \| melbourne, australia \| 20 february 1997 \| 7 row 12 : 4.58 m (15 ft 01⁄ \| emma george \| australia \| melbourne, australia \| 14 march 1998 \| 9 row 13 : 4.59 m (15 ft 01⁄ \| emma george \| australia \| brisbane, australia \| 21 march 1998 \| 10 row 14 : 4.60 m (15 ft 1 in \| emma george \| australia \| sydney, australia \| 20 february 1999 \| 11 row 15 : i 4.63 m (15 ft \| stacy dragila \| united states \| new york city, u.s \| 2 feb 2001 \| 5 row 16 : i 4.64 m (15 ft \| svetlana feof \| russia \| dortmund, germany \| 11 february 2001 \| 1 row 17 : i 4.66 m (15 ft \| stacy dragila \| united states \| pocatello, u.s \| 17 feb 2001 \| 6 row 18 : i 4.70 m (15 ft \| stacy dragila \| united states \| pocatello, u.s \| 17 feb 2001 \| 7 row 19 : 4.81 m (15 ft 91 \| stacy dragila \| united states \| palo alto, u.s \| 9 june 2001 \| 10 row 20 : 4.82 m (15 ft 93 \| yelena isinbayeva \| russia \| gateshead, england \| 13 july 2003 \| 1 row 21 : 4.89 m (16 ft 01⁄ \| yelena isinbayeva \| russia \| birmingham, england \| 25 july 2004 \| 5 ] Execute this SQL based on the above table: select count ( * ) where # = 334	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 ( select joined where type = 'private/roman catholic' ) - ( select joined where type = 'private/roman catholic' )	0.0
[ 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 order by race desc limit 1	michel nykjær
[ header: team 1 \| agg. \| team 2 \| 1st leg \| 2nd leg row 1 : uniao da madeira \| 2-5 \| maritimo \| 2-3 \| 0-2 row 2 : penafiel \| 2-1 \| academica \| 1-1 \| 1-0 row 3 : santa clara \| 3-2 \| uniao de leiria \| 3-1 \| 0-1 row 4 : naval \| 3-4 \| vitoria de setubal \| 1-2 \| 2-2 row 5 : moreirense \| 4-3 \| beira-mar \| 2-2 \| 2-1 row 6 : portimonense \| 2-2(5-4p) \| feirense \| 1-0 \| 1-2 row 7 : estoril \| 4-3 \| olhanense \| 4-3 \| 0-0 row 8 : belenenses \| 2-3 \| gil vicente \| 2-1 \| 0-2 ] Execute this SQL based on the above table: select count ( * ) where agg. + 2nd leg = 1	0
[ header: rank \| name \| nationality \| time row 1 : None \| jorge delgado \| ecuador \| 1:55.45 row 2 : None \| rick demont \| united states \| 1:55.96 row 3 : None \| rex favero \| united states \| 1:57.08 row 4 : 4 \| djan madruga \| brazil \| 1:57.17 row 5 : 5 \| None \| None \| None row 6 : 6 \| None \| None \| None row 7 : 7 \| None \| None \| None row 8 : 8 \| None \| None \| None ] Execute this SQL based on the above table: select nationality where id = ( select id where nationality = 'united states' ) - 1	ecuador
[ header: model \| class \| length \| fuel \| starting price row 1 : tour \| class a \| 42' \| diesel \| $362,285 row 2 : journey \| class a \| 35'-43' \| diesel \| $246,736 row 3 : adventurer \| class a \| 32'-37' \| gas \| $150,711 row 4 : via \| class a \| 25' \| diesel \| $126,476 row 5 : sightseer \| class a \| 31'-37' \| gas \| $126,162 row 6 : vista \| class a \| 26'-35' \| gas \| $107,717 row 7 : view \| class c \| 24'-25' \| diesel \| $100,955 row 8 : aspect \| class c \| 29'-31' \| gas \| $95,948 row 9 : access \| class c \| 25'-31' \| gas \| $74,704 ] Execute this SQL based on the above table: select model where model != 'via' and class = ( select class where model = 'via' ) and class = 'class a'	tour, journey, adventurer, sightseer, vista
[ header: institution \| location \| nickname \| founded \| historical affiliation \| enrollment \| primary conference row 1 : brown university \| providence, rhode island \| bears \| 1764 \| nonsectarian, founded by bapt \| 7744 \| ivy league row 2 : clarkson university \| potsdam, new york \| golden knights \| 1896 \| private/non-sectarian \| 3100 \| liberty league (d-iii) row 3 : colgate university \| hamilton, new york \| raiders \| 1819 \| private/non-sectarian, founded \| 2800 \| patriot league row 4 : cornell university \| ithaca, new york \| big red \| 1865 \| private/non-sectarian \| 20400 \| ivy league row 5 : dartmouth college \| hanover, new hampshire \| big green \| 1769 \| private/congregationalist \| 5753 \| ivy league row 6 : harvard university \| cambridge, massachusetts \| crimson \| 1636 \| private/unitarian \| 20042 \| ivy league row 7 : princeton university \| princeton, new jersey \| tigers \| 1746 \| nonsectarian, but founded by pres \| 6677 \| ivy league row 8 : quinnipiac university \| hamden, connecticut \| bobcats \| 1929 \| private/non-sectarian \| 7700 \| maac row 9 : rensselaer polytechnic institute \| troy, new york \| engineers \| 1824 \| private/non-sectarian \| 6376 \| liberty league (d-iii) row 10 : st. lawrence university \| canton, new york \| saints \| 1856 \| non-denominational, founded by universal \| 2100 \| liberty league (d-iii) row 11 : union college \| schenectady, new york \| dutchmen \| 1795 \| private/non-sectarian \| 2100 \| liberty league (d-iii) row 12 : yale university \| new haven, connecticut \| bulldogs \| 1701 \| private/congregationalist \| 11483 \| ivy league ] Execute this SQL based on the above table: select count ( location ) where enrollment > 1620	12
[ header: no. \| name \| term of office \| term of office \| political party \| ministry row 1 : 1 \| c. d. howe \| november 2, 1936 \| july 8, 1940 \| liberal \| 16 (king) row 2 : 2 \| arthur cardin \| july 8, 1940 \| may 13, 1942 \| liberal \| 16 (king) row 3 : None \| c. d. howe (act \| may 13, 1942 \| october 6, 1942 \| liberal \| 16 (king) row 4 : 3 \| joseph-enoil michau \| october 6, 1942 \| april 18, 1945 \| liberal \| 16 (king) row 5 : 4 \| lionel chevrier \| april 18, 1945 \| july 1, 1954 \| liberal \| 17 (st. laurent) row 6 : 5 \| george carlyle marler \| july 1, 1954 \| june 21, 1957 \| liberal \| 17 (st. laurent) row 7 : 7 \| leon balcer \| october 11, 1960 \| april 22, 1963 \| progressive conservative \| 18 (diefenbaker) row 8 : 8 \| george mcilraith \| april 22, 1963 \| february 3, 1964 \| liberal \| 19 (pearson) row 9 : 9 \| jack pickersgill \| february 3, 1964 \| september 19, 1967 \| liberal \| 19 (pearson) row 10 : 10 \| paul hellyer \| september 19, 1967 \| april 20, 1968 \| liberal \| 19 (pearson) row 11 : 10 \| paul hellyer \| april 20, 1968 \| april 30, 1969 \| liberal \| 20 (trudeau) row 12 : None \| james armstrong richardson (act \| april 30, 1969 \| may 5, 1969 \| liberal \| 20 (trudeau) row 13 : 11 \| don jamieson \| may 5, 1969 \| november 27, 1972 \| liberal \| 20 (trudeau) row 14 : 12 \| jean marchand \| november 27, 1972 \| september 26, 1975 \| liberal \| 20 (trudeau) row 15 : 14 \| don mazankowski \| june 4, 1979 \| march 3, 1980 \| progressive conservative \| 21 (clark) row 16 : 15 \| jean-luc pepin \| march 3, 1980 \| august 12, 1983 \| liberal \| 22 (trudeau) row 17 : 16 \| lloyd axworthy \| august 12, 1983 \| june 29, 1984 \| liberal \| 22 (trudeau) row 18 : 16 \| lloyd axworthy \| june 30, 1984 \| september 16, 1984 \| liberal \| 23 (turner) row 19 : (14) \| don mazankowski (2nd time) \| september 17, 1984 \| june 29, 1986 \| progressive conservative \| 24 (mulroney) row 20 : 17 \| john crosbie \| june 30, 1986 \| march 30, 1988 \| progressive conservative \| 24 (mulroney) row 21 : 18 \| benoit bouchard \| march 31, 1988 \| february 22, 1990 \| progressive conservative \| 24 (mulroney) row 22 : 20 \| jean corbeil \| april 21, 1991 \| june 24, 1993 \| progressive conservative \| 24 (mulroney) row 23 : 20 \| jean corbeil \| june 25, 1993 \| november 3, 1993 \| progressive conservative \| 25 (campbell) row 24 : 21 \| doug young \| november 4, 1993 \| january 24, 1996 \| liberal \| 26 (chretien) row 25 : 22 \| david anderson \| january 25, 1996 \| june 10, 1997 \| liberal \| 26 (chretien) row 26 : 23 \| david collenette \| june 11, 1997 \| december 11, 2003 \| liberal \| 26 (chretien) row 27 : 24 \| tony valeri \| december 12, 2003 \| july 19, 2004 \| liberal \| 27 (martin) row 28 : 25 \| jean lapierre \| july 20, 2004 \| february 5, 2006 \| liberal \| 27 (martin) ] Execute this SQL based on the above table: select count ( * ) where no. = 2	1
[ header: call sign \| frequency \| city of license \| licensee \| format row 1 : kmsa \| 91.3 fm \| grand junction \| colorado mesa university \| aaa row 2 : kmgj \| 93.1 fm \| grand junction \| mbc grand broadcasting, inc \| top 40 (chr)/contempor row 3 : kkvt \| 100.7 fm \| grand junction \| mbc grand broadcasting, inc \| country row 4 : klfv \| 90.3 fm \| grand junction \| educational media foundation \| christian contemporary row 5 : kmoz-fm \| 92.3 fm \| grand junction \| mbc grand broadcasting, inc \| adult hits row 6 : kgjn-lp \| 106.7 fm \| grand junction \| colorado, state of, telecom \| news talk information row 7 : kjol \| 620 am \| grand junction \| united ministries \| christian contemporary row 8 : kcic \| 88.5 fm \| grand junction \| pear park baptist schools \| religious row 9 : kbkl \| 107.9 fm \| grand junction \| townsquare media group \| oldies row 10 : kafm \| 88.1 fm \| grand junction \| grand valley public radio co, inc \| variety row 11 : kexo \| 1230 am \| grand junction \| townsquare media group \| regional mexican/talk row 12 : knzz \| 1100 am \| grand junction \| mbc grand broadcasting, inc \| news/talk row 13 : kmxy \| 104.3 fm \| grand junction \| townsquare media group \| hot adult contemporary row 14 : kprn \| 89.5 fm \| grand junction \| public broadcasting of colorado, in \| public/news/talk row 15 : ktmm \| 1340 am \| grand junction \| mbc grand broadcasting, inc \| sports/talk row 16 : kaai \| 98.5 fm \| palisade, colorado \| educational media foundation \| christian rock row 17 : kmzk (fm) \| 106.9 fm \| clifton \| charles d. hall \| None row 18 : kekb \| 99.9 fm \| fruita \| townsquare media group \| country row 19 : krzx \| 106.1 fm \| redlands \| cochise media licenses llc \| None row 20 : kzks \| 105.3 fm \| rifle, colorado \| western slope communications \| classic hits row 21 : knoz \| 97.7 fm \| orchard mesa \| paul varecha \| all-news radio row 22 : ktun \| 93.5 fm \| new castle, colorado \| wildcat communications \| spanish hits row 23 : kknn \| 95.1 fm \| delta, colorado \| townsquare media group \| active rock row 24 : kstr-fm \| 96.1 fm \| montrose, colorado \| mbc grand broadcasting \| classic rock row 25 : kubc \| 580 am \| montrose, colorado \| cherry creek radio \| news/talk ] Execute this SQL based on the above table: select count ( format ) where city of license = 'delta, colorado'	1
[ header: date \| race name \| d(f) \| course \| prize (£) \| odds \| runners \| place \| margin \| winner/runner-up \| time \| jockey row 1 : july 1879 \| chesterfield stakes \| 5 \| newmarket \| 1130 \| 9/4 \| 11 \| 1 \| 1 \| petal \| 0:59 \| charles wood row 2 : 29 july 1879 \| richmond stakes \| 6 \| goodwood \| 1762 \| None \| 8 \| 1 \| None \| None \| None \| None row 3 : august 1879 \| prince of wales stakes \| 5 \| york \| 340 \| 1/2 \| 9 \| 1 \| 0.5 \| brother to ersilia \| None \| fred archer row 4 : 1879 \| triennial produce stakes \| 10 \| newmarket \| 881 \| None \| 11 \| 1 \| None \| None \| None \| None row 5 : 1879 \| rous memorial stakes \| 5 \| newmarket \| 567 \| None \| 10 \| 1 \| None \| None \| None \| None row 6 : 26 may 1880 \| epsom derby \| 12 \| epsom downs \| 6375 \| 2/1 \| 19 \| 1 \| head \| robert the devil \| 2:48 \| fred archer row 7 : june 1880 \| st. james's palace \| 8 \| ascot \| 1550 \| 30/100 \| 5 \| 1 \| head \| fernandez \| None \| g fordham row 8 : 15 september 1880 \| st leger \| 14.5 \| doncaster \| 6100 \| 4/5 \| 12 \| 6 \| None \| robert the devil \| 3:32 \| None row 9 : 28 september 1880 \| great foal stakes \| 10 \| newmarket \| 2697 \| 9/2 \| 7 \| 2 \| head \| robert the devil \| 2:25 \| tom cannon row 10 : 14 october 1880 \| champion stakes \| 10 \| newmarket \| 2071 \| 5/4 \| 4 \| 2 \| 10 \| robert the devil \| 2:10 \| g fordham row 11 : 27 april 1881 \| city and suburban handicap \| 10 \| epsom downs \| 1230 \| 100/8 \| 24 \| 1 \| 1.5 \| foxhall \| 2:07 \| fred archer row 12 : 3 june 1881 \| epsom gold cup \| 12 \| epsom downs \| 500 \| None \| 2 \| 1 \| None \| robert the devil \| None \| None row 13 : 13 october 1881 \| champion stakes \| 10 \| newmarket \| 2087 \| 4/6 \| 8 \| 1 \| 0.75 \| scobell \| 2:23.6 \| fred archer row 14 : 25 october 1881 \| cambridgeshire stakes \| 9 \| newmarket \| 2017 \| 9/2 \| 32 \| 7 \| None \| foxhall \| 2:15.4 \| fred archer ] Execute this SQL based on the above table: select count ( winner/runner-up ) where date = '14 october 1880'	1
[ header: no. \| train no: \| origin \| destination \| train name row 1 : 1 \| 56654 \| mangalore central \| kozhikode \| passenger row 2 : 2 \| 56324 \| mangalore central \| coimbatore city junction \| fast passenger row 3 : 3 \| 56656 \| mangalore central \| kannur \| passenger row 4 : 4 \| 56643/56645 \| mangalore central \| kabakaputtur \| passenger row 5 : 5 \| 56640 \| mangalore central \| verna \| passenger row 6 : 6 \| 56647 \| mangalore central \| subrahmanya road \| passenger row 7 : 7 \| 56661 \| mangalore central \| cheruvathur \| passenger row 8 : 8 \| 70106 \| mangalore central \| bhatkal \| demu ] Execute this SQL based on the above table: select train name + train name where train name = 'fast passenger'	0
[ header: pos \| no \| driver \| constructor \| laps \| time/retired \| grid \| points row 1 : 1 \| 4 \| robert kubica \| bmw sauber \| 70 \| 1:36:24.227 \| 2 \| 10 row 2 : 2 \| 3 \| nick heidfeld \| bmw sauber \| 70 \| 16.495 \| 8 \| 8 row 3 : 3 \| 9 \| david coulthard \| red bull-renault \| 70 \| 23.352 \| 13 \| 6 row 4 : 4 \| 12 \| timo glock \| toyota \| 70 \| 42.627 \| 11 \| 5 row 5 : 5 \| 2 \| felipe massa \| ferrari \| 70 \| 43.934 \| 6 \| 4 row 6 : 6 \| 11 \| jarno trulli \| toyota \| 70 \| 47.775 \| 14 \| 3 row 7 : 7 \| 17 \| rubens barrichello \| honda \| 70 \| 53.597 \| 9 \| 2 row 8 : 8 \| 15 \| sebastian vettel \| toro rosso-ferr \| 70 \| 54.12 \| 19 \| 1 row 9 : 9 \| 23 \| heikki kovalain \| mclaren-mercedes \| 70 \| 54.433 \| 7 \| None row 10 : 10 \| 7 \| nico rosberg \| williams-toyota \| 70 \| 54.749 \| 5 \| None row 11 : 11 \| 16 \| jenson button \| honda \| 70 \| +1:07.540 \| 20 \| None row 12 : 12 \| 10 \| mark webber \| red bull-renault \| 70 \| +1:11.299 \| 10 \| None row 13 : 13 \| 14 \| sebastien bourdais \| toro rosso-ferr \| 69 \| +1 lap \| 18 \| None row 14 : ret \| 21 \| giancarlo fisichella \| force india-ferrari \| 51 \| spun off \| 17 \| None row 15 : ret \| 8 \| kazuki nakajima \| williams-toyota \| 46 \| accident \| 12 \| None row 16 : ret \| 5 \| fernando alonso \| renault \| 44 \| spun off \| 4 \| None row 17 : ret \| 6 \| nelson piquet j \| renault \| 43 \| brakes \| 15 \| None row 18 : ret \| 1 \| kimi raikkonen \| ferrari \| 19 \| collision \| 3 \| None row 19 : ret \| 22 \| lewis hamilton \| mclaren-mercedes \| 19 \| collision \| 1 \| None row 20 : ret \| 20 \| adrian sutil \| force india-ferrari \| 13 \| gearbox \| 16 \| None ] Execute this SQL based on the above table: select driver where id = ( select id where driver = 'heikki kovalainen' ) + 1	nico rosberg
[ header: pos. \| rider \| semi-final points \| final points \| final heats \| total points row 1 : 1 \| jack milne \| 13 \| 15 \| (3,3,3,3,3) \| 28 row 2 : 2 \| wilbur lamoreaux \| 12 \| 13 \| (3,3,3,1,3) \| 25 row 3 : 3 \| cordy milne \| 11 \| 12 \| (2,3,2,3,2) \| 23 row 4 : 4 \| jack parker \| 11 \| 10 \| (2,3,1,2,2) \| 21 row 5 : 5 \| ginger lees \| 10 \| 9 \| (1,1,2,2,3) \| 19 row 6 : 6 \| frank charles \| 10 \| 7 \| (0,0,1,3,3) \| 17 row 7 : 7 \| lionel van praag \| 11 \| 6 \| (3,0,-,3,0) \| 17 row 8 : 8 \| bill kitchen \| 7 \| 9 \| (1,2,2,2,2) \| 16 row 9 : 9 \| george newton \| 11 \| 5 \| (3,0,0,0,2) \| 16 row 10 : 10 \| eric langton \| 12 \| 4 \| (1,0,0,3,0) \| 16 row 11 : 11 \| morian hansen \| 7 \| 8 \| (1,2,3,1,1) \| 15 row 12 : 12 \| eric chitty \| 11 \| 4 \| (0,2,0,1,1) \| 15 row 13 : 13 \| joe abbott \| 8 \| 6 \| (2,1,1,2,0) \| 14 row 14 : 14 \| arthur atkinson \| 8 \| 6 \| (2,0,2,1,1) \| 14 row 15 : 15 \| frank varey \| 8 \| 3 \| (0,1,1,0,1) \| 11 row 16 : 16 \| tommy croombs \| 6 \| 2 \| (0,2,0,0,0) \| 8 row 17 : 17 \| bob harrison \| 7 \| None \| None \| 7 row 18 : 18 \| alec statham \| 6 \| 0 \| (0) \| 6 ] Execute this SQL based on the above table: select count ( * ) where rider = 'frank charles'	1
[ header: date \| opponent \| score \| leading scorer \| attendance \| record row 1 : may 17 \| @ indiana \| 53-64 \| nakia sanford (14) \| 10533 \| 0-1 row 2 : may 31 \| vs. los angeles \| 59-70 \| monique currie (15) \| 11517 \| 2-3 row 3 : june 3 \| @ phoenix \| 93-98 \| alana beard (33) \| 7561 \| 2-4 row 4 : june 8 \| @ connecticut \| 79-87 \| monique currie (28) \| 7174 \| 2-6 row 5 : june 11 \| vs. sacramento \| 76-79 \| taj mcwilliam \| 6146 \| 2-7 row 6 : june 13 \| @ chicago \| 64-57 \| alana beard (22) \| 2600 \| 3-7 row 7 : june 18 \| @ houston \| 67-63 \| alana beard (23) \| 7054 \| 4-7 row 8 : june 20 \| vs. atlanta \| 72-61 \| alana beard (18) \| 7448 \| 5-7 row 9 : june 29 \| @ seattle \| 49-64 \| alana beard (16) \| 7965 \| 6-9 row 10 : july 1 \| @ sacramento \| 81-87 \| alana beard (31) \| 5705 \| 6-10 row 11 : july 8 \| vs. indiana \| 50-48 \| taj mcwilliam \| 7587 \| 7-11 row 12 : july 11 \| @ detroit \| 66-79 \| coco miller (15) \| 8596 \| 7-12 row 13 : july 13 \| vs. connecticut \| 69-64 \| nikki blue (13) \| 9610 \| 8-12 row 14 : july 17 \| @ new york \| 56-77 \| alana beard (15) \| 8344 \| 8-13 row 15 : july 20 \| vs. seattle \| 89-57 \| taj mcwilliam \| 8543 \| 9-14 row 16 : july 27 \| vs. connecticut \| 60-82 \| taj mcwilliam \| 9357 \| 10-16 row 17 : august 29 \| vs. chicago \| 75-79 \| alana beard (18) \| 10043 \| 10-17 row 18 : august 30 \| @ minnesota \| 78-92 \| alana beard (27) \| 6980 \| 10-18 row 19 : september 2 \| vs. indiana \| 68-79 \| alana beard (17) \| 7244 \| 10-19 row 20 : september 6 \| vs. detroit \| 69-84 \| monique currie (15) \| 9976 \| 10-20 row 21 : september 11 \| @ detroit \| 66-78 \| alana beard (16) monique \| 8145 \| 10-22 row 22 : september 13 \| @ connecticut \| 81-87 \| monique currie (23) \| 8652 \| 10-23 row 23 : september 14 \| vs. minnesota \| 70-96 \| alana beard (17) \| 10438 \| 10-24 ] Execute this SQL based on the above table: select leading scorer where date = 'september 11'	alana beard (16) monique currie (16)
[ header: pos \| no \| driver \| team \| laps \| time/retired \| grid \| points row 1 : 1 \| 5 \| will power \| team australia \| 73 \| 1:45:58.568 \| 7 \| 31 row 2 : 2 \| 21 \| neel jani \| pkv racing \| 73 \| 2.972 \| 9 \| 28 row 3 : 3 \| 9 \| justin wilson \| rsports \| 73 \| 3.48 \| 2 \| 25 row 4 : 4 \| 15 \| simon pagenaud \| team australia \| 73 \| 5.643 \| 4 \| 23 row 5 : 5 \| 19 \| bruno junqueira \| dale coyne racing \| 73 \| 20.738 \| 5 \| 21 row 6 : 6 \| 14 \| robert doornbos \| minardi team usa \| 72 \| + 1 lap \| 12 \| 19 row 7 : 7 \| 28 \| ryan dalziel \| pacific coast motorsports \| 72 \| + 1 lap \| 11 \| 17 row 8 : 8 \| 8 \| alex tagliani \| rsports \| 71 \| + 2 laps \| 6 \| 15 row 9 : 9 \| 1 \| sebastien bourdais \| n/h/l racing \| 67 \| contact \| 1 \| 16 row 10 : 10 \| 7 \| oriol servia \| forsythe racing \| 56 \| contact \| 3 \| 11 row 11 : 11 \| 2 \| graham rahal \| n/h/l racing \| 52 \| contact \| 15 \| 10 row 12 : 12 \| 4 \| dan clarke \| minardi team usa \| 43 \| contact \| 13 \| 9 row 13 : 13 \| 34 \| jan heylen \| conquest racing \| 1 \| contact \| 8 \| 8 row 14 : 14 \| 3 \| paul tracy \| forsythe racing \| 0 \| contact \| 10 \| 7 row 15 : 15 \| 22 \| tristan gommendy \| pkv racing \| 0 \| contact \| 14 \| 6 row 16 : 16 \| 11 \| katherine legge \| dale coyne racing \| 0 \| contact \| 16 \| 5 row 17 : 17 \| 29 \| alex figge \| pacific coast motorsports \| 0 \| contact \| 17 \| 4 ] Execute this SQL based on the above table: select driver where grid < ( select grid where driver = 'ryan dalziel' ) order by grid desc limit 1	paul tracy
[ header: region \| population \| area \| density row 1 : danish capital region \| 1823109 \| 2,864 km2 \| 636.5/km2 row 2 : remainder \| 608036 \| 6,970 km2 \| 87.2/km2 row 3 : total for danish part: \| 2431145 \| 9,834 km2 \| 247.2/km2 row 4 : south skane \| 683886 \| 2,680 km2 \| 255.1/km2 row 5 : west skane \| 305982 \| 2,730 km2 \| 112.1/km2 row 6 : north-east skane \| 162829 \| 3,705 km2 \| 43.9/km2 row 7 : total for swedish part: \| 1125697 \| 11,035 km2 \| 102.0/km2 row 8 : grand total \| 3583842 \| 20,869 km2 \| 171.7/km2 ] Execute this SQL based on the above table: select region where density <= 1816	danish capital region, remainder, total for danish part:, south skane, west skane, north-east skane, total for swedish part:, grand total
[ header: rank \| group \| name \| nationality \| 2.05 \| 2.15 \| 2.19 \| 2.23 \| 2.26 \| result \| notes row 1 : 1 \| a \| nicola ciotti \| italy \| None \| o \| o \| o \| o \| 2.26 \| q row 2 : 1 \| a \| linus thornblad \| sweden \| None \| o \| o \| o \| o \| 2.26 \| q row 3 : 1 \| b \| oskari frosen \| finland \| None \| o \| o \| o \| o \| 2.26 \| q row 4 : 1 \| b \| stefan holm \| sweden \| None \| o \| o \| o \| o \| 2.26 \| q row 5 : 1 \| b \| svatoslav ton \| czech republic \| None \| o \| o \| o \| o \| 2.26 \| q row 6 : 7 \| a \| niki palli \| israel \| o \| o \| o \| o \| xo \| 2.26 \| q row 7 : 7 \| b \| yaroslav rybakov \| russia \| None \| o \| o \| o \| xo \| 2.26 \| q row 8 : 9 \| b \| giulio ciotti \| italy \| None \| o \| xo \| o \| xo \| 2.26 \| q row 9 : 11 \| a \| ivan ukhov \| russia \| None \| None \| None \| o \| None \| 2.23 \| q row 10 : 11 \| a \| andrea bettinelli \| italy \| None \| o \| o \| o \| xxx \| 2.23 \| q row 11 : 14 \| a \| martyn bernard \| united kingdom \| None \| o \| xxo \| xo \| xxx \| 2.23 \| None row 12 : 15 \| b \| peter horak \| slovakia \| None \| o \| o \| xxo \| xxx \| 2.23 \| None row 13 : 15 \| b \| normunds pupols \| latvia \| None \| o \| o \| xxo \| xxx \| 2.23 \| None row 14 : 17 \| a \| germaine mason \| united kingdom \| None \| o \| o \| xxx \| None \| 2.19 \| None row 15 : 17 \| b \| rozle prezelj \| slovenia \| o \| o \| o \| xxx \| None \| 2.19 \| None row 16 : 19 \| a \| heikki tanel \| finland \| None \| xo \| o \| xxx \| None \| 2.19 \| None row 17 : 19 \| b \| andriy sokolovskyy \| ukraine \| None \| xo \| o \| xxx \| None \| 2.19 \| None row 18 : 21 \| b \| mickael hanany \| france \| None \| xo \| xo \| xxx \| None \| 2.19 \| None row 19 : 22 \| b \| javier bermejo \| spain \| o \| o \| xxx \| None \| None \| 2.15 \| None row 20 : 23 \| a \| osku torro \| finland \| None \| xo \| x- \| x \| None \| 2.15 \| None row 21 : 24 \| a \| jan-peter larsen \| netherlands \| o \| xxx \| None \| None \| None \| 2.05 \| None row 22 : None \| b \| adam scarr \| united kingdom \| None \| xxx \| None \| None \| None \| nm \| None ] Execute this SQL based on the above table: select nationality order by id desc limit 1	united kingdom
[ 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 ( regular season ) where division = 4	8
[ header: no. \| name \| public access \| location & map links \| area ha \| area acres \| references row 1 : 1 \| aversley wood \| \| 52°25′25′′n 0° \| 61 \| 151 \| sssi wt row 2 : 2 \| balsham wood \| \| 52°07′19′′n 0° \| 35 \| 85 \| sssi row 3 : 3 \| bedford purlieus nnr \| \| 52°35′00′′n 0° \| 208 \| 514 \| sssi nnr row 4 : 4 \| brampton wood \| \| 52°19′02′′n 0° \| 132 \| 326 \| sssi bcnp row 5 : 7 \| gamlingay wood \| \| 52°09′57′′n 0° \| 46 \| 114 \| sssi bcnp row 6 : 8 \| hardwick wood \| \| 52°11′57′′n 0° \| 17 \| 42 \| sssi bcnp row 7 : 9 \| hayley wood \| \| 52°09′33′′n 0° \| 52 \| 129 \| sssi bcnp row 8 : 11 \| langley wood \| \| 52°03′24′′n 0° \| 31 \| 77 \| sssi row 9 : 13 \| madingley wood \| \| 52°13′00′′n 0° \| 15 \| 38 \| sssi row 10 : 14 \| monks wood nnr \| \| 52°24′18′′n 0° \| 170 \| 420 \| sssi nnr row 11 : 15 \| out and plunder woods \| \| 52°10′03′′n 0° \| 28 \| 69 \| sssi row 12 : 16 \| over and lawn woods \| \| 52°06′35′′n 0° \| 45 \| 111 \| sssi row 13 : 18 \| ten wood \| \| 52°10′31′′n 0° \| 17 \| 42 \| sssi row 14 : 20 \| warboy's and wistow wood \| \| 52°25′11′′n 0° \| 42 \| 103 \| sssi row 15 : 21 \| waresley wood \| \| 52°10′37′′n 0° \| 62 \| 153 \| sssi ] Execute this SQL based on the above table: select count ( * ) where area acres < 514	14
[ header: position \| driver \| no. \| car \| entrant \| rd 1 \| rd 2 \| rd 3 \| rd 4 \| rd 5 \| rd 6 \| rd 7 \| rd 8 \| total row 1 : 1 \| greg crick \| 3 \| dodge viper gts ac \| crickcars.com \| 98 \| 108 \| 91 \| 72 \| 98 \| 96 \| 60 \| 90 \| 713 row 2 : 5 \| sven burchartz \| 90 \| porsche 996 gt3 \| cargraphic ag \| 32 \| 18 \| None \| 63 \| 57 \| 69 \| 114 \| 85.5 \| 438.5 row 3 : 6 \| david wall \| 38 \| porsche 996 gt3 r \| rds \| 32 \| 37.5 \| 63 \| None \| 80 \| 33 \| None \| 117 \| 362.5 row 4 : 7 \| john teulan \| 88 \| ferrari 360 challenge ferrari f430 challenge \| industry central - stahlwille \| 47 \| 48 \| 61 \| 77 \| None \| 48 \| 48 \| 19.5 \| 348.5 row 5 : 8 \| max twigg \| 18 & 17 \| porsche 996 gt3 \| twigg waste management luxton \| 45 \| 33 \| 51 \| 14 \| 37 \| 57 \| None \| 66 \| 303 row 6 : 9 \| d'arcy russell \| 7 \| dodge viper gts ac \| dupont \| 34 \| 31.5 \| None \| 23 \| None \| 117 \| None \| 60 \| 265.5 row 7 : 14 \| paul tressider \| 23 \| porsche 996 gt3 cup car \| wynn tressider management \| 29 \| 22.5 \| 49 \| None \| None \| 45 \| None \| 43.5 \| 189 row 8 : 16 \| damien flack \| 55 \| porsche 996 gt3 cup car \| roock \| None \| None \| 69 \| 12 \| None \| 54 \| None \| 25.5 \| 160.5 row 9 : 18 \| bill pye \| 44 \| porsche 996 gt3 cup car \| autohaus hamilton property solutions group \| None \| 58.5 \| None \| None \| None \| 39 \| None \| 43.5 \| 141 row 10 : 19 \| anthony skinner \| 46 \| porsche 996 gt3 \| travelplan ski holiday \| 52 \| 18 \| None \| None \| None \| None \| 69 \| None \| 139 row 11 : 20 \| andrew luxton \| 17 & 18 \| porsche 996 gt3 cup car \| luxton plant twigg waste \| None \| None \| None \| None \| None \| 57 \| None \| 66 \| 123 row 12 : 22 \| ian palmer \| 20 \| honda nsx \| instant fountains paluky ho \| 25 \| None \| 33 \| 53 \| None \| None \| None \| None \| 111 row 13 : 24 \| kevin miller \| 2 \| ferrari f430 \| property solutions group \| None \| None \| None \| None \| None \| None \| 63 \| 36 \| 99 row 14 : 26 \| peter hackett \| 5 \| lamborghini diablo gt \| team lamborghini australia \| None \| 91.5 \| None \| None \| None \| None \| None \| None \| 91.5 row 15 : 28 \| graeme cook \| 91 \| porsche 996 gt3 cup car \| container solutions \| 27 \| None \| None \| None \| 58 \| None \| None \| None \| 85 row 16 : 32 \| stuart kostera \| 70 \| porsche 996 gt3 cup car \| phr scuderia \| None \| None \| None \| 73 \| None \| None \| None \| None \| 73 row 17 : 34 \| justin levis \| 78 \| lotus elise motorsport 200 \| cue autohaus hamilton \| None \| 24 \| None \| None \| None \| 39 \| None \| None \| 63 ] Execute this SQL based on the above table: select count ( entrant ) where entrant = 'team lamborghini australia'	1
[ header: position \| club \| played \| points \| wins \| draws \| losses \| goals for \| goals against \| goal difference row 1 : 1 \| malaga cf \| 42 \| 79 \| 22 \| 13 \| 7 \| 72 \| 47 \| 25 row 2 : 2 \| atletico de madrid b 1 \| 42 \| 74 \| 21 \| 11 \| 10 \| 73 \| 51 \| 22 row 3 : 3 \| cd numancia \| 42 \| 73 \| 21 \| 10 \| 11 \| 68 \| 40 \| 28 row 4 : 4 \| sevilla fc \| 42 \| 71 \| 20 \| 11 \| 11 \| 66 \| 50 \| 16 row 5 : 5 \| rayo vallecano \| 42 \| 71 \| 19 \| 14 \| 9 \| 64 \| 49 \| 15 row 6 : 6 \| ud las palmas \| 42 \| 68 \| 17 \| 17 \| 8 \| 57 \| 38 \| 19 row 7 : 7 \| cd toledo \| 42 \| 65 \| 18 \| 11 \| 13 \| 54 \| 49 \| 5 row 8 : 8 \| sd compostela \| 42 \| 61 \| 16 \| 13 \| 13 \| 60 \| 53 \| 7 row 9 : 9 \| sporting de gijon \| 42 \| 59 \| 16 \| 11 \| 15 \| 47 \| 47 \| 0 row 10 : 10 \| cp merida \| 42 \| 59 \| 15 \| 14 \| 13 \| 48 \| 41 \| 7 row 11 : 11 \| ue lleida \| 42 \| 59 \| 15 \| 14 \| 13 \| 52 \| 50 \| 2 row 12 : 12 \| recreativo de huelva \| 42 \| 58 \| 14 \| 16 \| 12 \| 40 \| 35 \| 5 row 13 : 13 \| ca osasuna \| 42 \| 57 \| 15 \| 12 \| 15 \| 44 \| 51 \| -7 row 14 : 14 \| cd badajoz \| 42 \| 51 \| 12 \| 15 \| 15 \| 35 \| 39 \| -4 row 15 : 15 \| albacete \| 42 \| 50 \| 12 \| 14 \| 16 \| 38 \| 43 \| -5 row 16 : 16 \| cd logrones \| 42 \| 48 \| 12 \| 12 \| 18 \| 48 \| 57 \| -9 row 17 : 17 \| cd leganes \| 42 \| 47 \| 10 \| 17 \| 15 \| 36 \| 44 \| -8 row 18 : 18 \| sd eibar \| 42 \| 47 \| 13 \| 8 \| 21 \| 42 \| 56 \| -14 row 19 : 19 \| mallorca b \| 42 \| 46 \| 12 \| 10 \| 20 \| 52 \| 64 \| -12 row 20 : 20 \| barcelona b \| 42 \| 44 \| 13 \| 5 \| 24 \| 51 \| 68 \| -17 row 21 : 21 \| hercules cf \| 42 \| 40 \| 10 \| 10 \| 22 \| 38 \| 66 \| -28 row 22 : 22 \| cd ourense \| 42 \| 27 \| 7 \| 6 \| 29 \| 35 \| 82 \| -47 ] Execute this SQL based on the above table: select count ( * ) where club = 'cd toledo' and goals for < 51	0
[ header: rank \| bib \| country \| athletes \| run 1 \| run 2 \| run 3 \| run 4 \| total \| behind row 1 : None \| 1 \| canada (can-1) \| kaillie humphries heat \| 57.39 \| 57.73 \| 57.57 \| 57.92 \| 3:50.61 \| None row 2 : None \| 2 \| united states (usa-1) \| elana meyers laury \| 57.26 \| 57.63 \| 57.69 \| 58.13 \| 3:50.71 \| 0.1 row 3 : None \| 3 \| united states (usa-2) \| jamie greubel aja evan \| 57.45 \| 58 \| 58 \| 58.16 \| 3:51.61 \| 1 row 4 : 4 \| 9 \| netherlands (ned-1) \| esme kamphuis jud \| 57.94 \| 58.1 \| 58.2 \| 58.03 \| 3:52.27 \| 1.66 row 5 : 5 \| 4 \| germany (ger-1) \| sandra kiriasis \| 57.95 \| 58.08 \| 58.06 \| 58.2 \| 3:52.29 \| 1.68 row 6 : 7 \| 5 \| germany (ger-2) \| cathleen martini christ \| 57.99 \| 58.42 \| 58.17 \| 58.13 \| 3:52.71 \| 2.1 row 7 : 8 \| 8 \| switzerland (sui- \| fabienne meyer tanja may \| 58.18 \| 58.34 \| 58.29 \| 58.39 \| 3:53.20 \| 2.59 row 8 : 9 \| 11 \| russia (rus-1) \| olga stulneva \| 58.03 \| 58.24 \| 58.45 \| 58.74 \| 3:53.46 \| 2.85 row 9 : 10 \| 6 \| germany (ger-3) \| anja schneiderheinze stephan \| 58.17 \| 58.3 \| 58.53 \| 58.74 \| 3:53.74 \| 3.13 row 10 : 11 \| 7 \| united states (usa-3) \| jazmine fenlator lolo \| 58.27 \| 58.46 \| 58.5 \| 58.74 \| 3:53.97 \| 3.36 row 11 : 12 \| 12 \| great britain (gbr- \| paula walker rebekah \| 58.36 \| 58.4 \| 58.88 \| 58.6 \| 3:54.24 \| 3.63 row 12 : 13 \| 13 \| canada (can-2) \| jennifer ciochetti \| 58.43 \| 58.63 \| 58.72 \| 58.71 \| 3:54.49 \| 3.88 row 13 : 14 \| 14 \| australia (aus-1) \| astrid radjenovic jan \| 58.62 \| 58.5 \| 59.06 \| 58.37 \| 3:54.55 \| 3.94 row 14 : 15 \| 15 \| austria (aut-1) \| christina hengster viol \| 58.59 \| 58.56 \| 58.73 \| 58.91 \| 3:54.79 \| 4.18 row 15 : 16 \| 17 \| russia (rus-2) \| nadezhda serge \| 58.8 \| 58.69 \| 59.27 \| 59.1 \| 3:55.86 \| 5.25 row 16 : 17 \| 16 \| romania (rou-1) \| maria constantin andreea grecu \| 59.04 \| 59.08 \| 59.38 \| 59.09 \| 3:56.59 \| 5.98 ] Execute this SQL based on the above table: select country order by bib desc limit 1	russia (rus-2)
[ header: year \| group \| award \| result \| notes row 1 : 1994 \| venice film festival \| best actor \| won \| before the rain (1994 film) row 2 : 1996 \| new zealand film and tv \| best foreign performer \| won \| broken english (1996 film) row 3 : 2006 \| monaco international film festival \| best actor \| won \| short order row 4 : 2007 \| rome film fest \| best actor \| won \| fugitive pieces (film) row 5 : 2008 \| satellite awards \| best actor in a supporting role \| nominated \| fugitive pieces (film) row 6 : 2008 \| vancouver film critics circle \| best supporting actor in a canadian film \| nominated \| fugitive pieces (film) row 7 : 2009 \| genie awards \| best performance by an actor in a supporting role \| nominated \| fugitive pieces (film) row 8 : 2012 \| tetouan international mediterra \| best actor \| won \| io sono li ] Execute this SQL based on the above table: select count ( distinct notes )	5
[ header: season \| tier \| division \| place row 1 : 1928-84 \| 5 \| regional \| None row 2 : 1984/85 \| 4 \| 3a \| 6th row 3 : 1985/86 \| 4 \| 3a \| 9th row 4 : 1986/87 \| 4 \| 3a \| 11th row 5 : 1987/88 \| 4 \| 3a \| 15th row 6 : 1988/89 \| 4 \| 3a \| 4th row 7 : 1989/90 \| 4 \| 3a \| 9th row 8 : 1990/91 \| 4 \| 3a \| 9th row 9 : 1991/92 \| 4 \| 3a \| 5th row 10 : 1992/93 \| 4 \| 3a \| 17th row 11 : 1993/94 \| 4 \| 3a \| 7th row 12 : 1994/95 \| 4 \| 3a \| 4th row 13 : 1995/96 \| 4 \| 3a \| 1st row 14 : 1996/97 \| 3 \| 2ab \| 19th row 15 : 1997/98 \| 4 \| 3a \| 2nd ] Execute this SQL based on the above table: select count ( division ) where tier = 4	13
[ header: season \| level \| division \| section \| position \| movements row 1 : 1993 \| tier 3 \| division 2 \| ostra svealand \| 1st \| promoted row 2 : 1994 \| tier 2 \| division 1 \| norra \| 11th \| relegation playoffs row 3 : 1995 \| tier 2 \| division 1 \| norra \| 4th \| None row 4 : 1996 \| tier 2 \| division 1 \| norra \| 11th \| relegation playoffs - re row 5 : 1997 \| tier 3 \| division 2 \| ostra svealand \| 3rd \| None row 6 : 1998 \| tier 3 \| division 2 \| ostra svealand \| 7th \| None row 7 : 1999 \| tier 3 \| division 2 \| ostra svealand \| 3rd \| None row 8 : 2000 \| tier 3 \| division 2 \| ostra svealand \| 9th \| None row 9 : 2001 \| tier 3 \| division 2 \| ostra svealand \| 7th \| None row 10 : 2002 \| tier 3 \| division 2 \| ostra svealand \| 2nd \| None row 11 : 2003 \| tier 3 \| division 2 \| ostra svealand \| 3rd \| None row 12 : 2004 \| tier 3 \| division 2 \| ostra svealand \| 6th \| None row 13 : 2005 \| tier 3 \| division 2 \| ostra svealand \| 4th \| promoted row 14 : 2006 \| tier 3 \| division 1 \| norra \| 5th \| None row 15 : 2007 \| tier 3 \| division 1 \| sodra \| 14th \| relegated ] Execute this SQL based on the above table: select section where division = 1	norra, norra, norra, norra, sodra
[ header: \| name \| took office \| left office \| party \| notes/events row 1 : 11 \| william mccreery \| march 4, 1803 \| march 3, 1809 \| democratic republican \| None row 2 : 12 \| alexander mckim \| march 4, 1809 \| march 3, 1815 \| democratic republican \| None row 3 : 13 \| william pinkney \| march 4, 1815 \| april 18, 1816 \| democratic republican \| resigned to accept position as minister p row 4 : 14 \| peter little \| september 2, 1816 \| march 3, 1823 \| democratic republican \| None row 5 : 14 \| peter little \| march 4, 1823 \| march 3, 1825 \| jacksonian dr \| None row 6 : 14 \| peter little \| march 4, 1825 \| march 3, 1829 \| adams \| None row 7 : 15 \| benjamin c. howard \| march 4, 1829 \| march 3, 1833 \| jacksonian \| None ] Execute this SQL based on the above table: select took office where took office in ( 'march 4, 1829' , 'march 4, 1803' ) order by desc limit 1	march 4, 1829
[ header: institution \| location \| enrollment \| nickname \| varsity sports \| rugby since \| head coach row 1 : clemson university \| clemson, south carolina \| 20576 \| tigers \| 19 \| 1967 \| justin hickey row 2 : maryland \| college park, maryland \| 37641 \| terrapins \| 20 \| 1968 \| jeff soeken row 3 : navy \| annapolis, maryland \| 4576 \| midshipmen \| 30 \| 1963 \| mike flanagan row 4 : north carolina \| chapel hill, north carolina \| 29340 \| tar heels \| 28 \| 1966 \| pete earsman row 5 : north carolina state \| raleigh, north carolina \| 34767 \| wolfpack \| 25 \| 1965 \| jim latham row 6 : university of virginia \| charlottesville, virginia \| 20895 \| cavaliers \| 25 \| 1961 \| jon roberts row 7 : virginia tech \| blacksburg, virginia \| 30379 \| hokies \| 21 \| 1891 / 1968 \| andy richards row 8 : wake forest \| winston-salem, north car \| 7079 \| demon deacons \| 18 \| 1973 \| patrick kane ] Execute this SQL based on the above table: select head coach where location = 'annapolis, maryland' and varsity sports = 30	mike flanagan
[ header: season \| north \| south \| east \| west row 1 : 2000-01 \| ehc regensburg \| sb rosenheim \| deggendorfer sc ii \| ev landsberg row 2 : 2001-02 \| bts bayreuth \| tus geretsried i \| deggendorfer sc ii \| tsv kottern row 3 : 2002-03 \| ec bayreuth \| sc riessersee i \| tsv erding jets \| tsv peißenberg row 4 : 2003-04 \| ehc ingolstadt ii \| esc holzkirchen \| ehf passau \| tsv kottern row 5 : 2004-05 \| ver selb \| eac bad reichenhall \| se freising \| erc lechbruck row 6 : 2005-06 \| ec bad kissingen \| ehc munchen ii \| esv waldkirchen \| ev bad worishofen row 7 : 2006-07 \| ehc bayreuth \| esc geretsried \| esv gebensbach \| vfl denklingen row 8 : 2007-08 \| ec amberg \| sc gaißach \| ev bruckberg \| esc kempten row 9 : 2008-09 \| erc ingolstadt \| tsv schliersee \| esv waldkirchen \| 1. ec senden ] Execute this SQL based on the above table: select season where south = 'esc geretsried'	2006-07
[ header: year \| song \| u.s. \| u.s. r&b \| u.s. ac \| uk \| album row 1 : 1986 \| "strollin' on" \| None \| None \| None \| 32 \| intentions row 2 : 1986 \| "in the springtime" \| None \| None \| None \| 54 \| you're safe row 3 : 1986 \| "crazy love" \| None \| None \| None \| 67 \| intentions row 4 : 1987 \| "let me know" \| None \| None \| None \| 49 \| intentions row 5 : 1987 \| "woman in you" \| None \| None \| None \| None \| intentions row 6 : 1987 \| "some guys have all the luck" \| None \| None \| None \| 12 \| None row 7 : 1989 \| "wild world" \| 25 \| None \| None \| 5 \| maxi priest row 8 : 1990 \| "human work of art" \| None \| None \| None \| 71 \| bonafide row 9 : 1990 \| "close to you" \| 1 \| 2 \| 15 \| 7 \| bonafide row 10 : 1990 \| "just a little bit longer" \| 62 \| 30 \| None \| 62 \| bonafide row 11 : 1991 \| "space in my heart" \| None \| 76 \| None \| None \| bonafide row 12 : 1991 \| "set the night to music" (with \| 6 \| 45 \| 2 \| None \| set the night to music (roberta row 13 : 1992 \| "groovin' in the midnight" \| 63 \| 29 \| None \| 50 \| fe real row 14 : 1993 \| "one more chance" \| None \| 77 \| None \| 40 \| fe real row 15 : 1996 \| "that girl" (with shaggy) \| 20 \| 34 \| None \| 15 \| man with the fun row 16 : 1996 \| "watching the world go by" \| None \| None \| None \| 36 \| man with the fun row 17 : 2009 \| "2 play feat maxi priest - that \| None \| None \| None \| None \| None ] Execute this SQL based on the above table: select count ( * ) where album = 'maxi priest'	1
[ header: place \| position \| number \| name \| league one \| fa cup \| league cup \| football league trophy \| total row 1 : 1 \| mf \| 4 \| luke summerfield \| 5 \| 0 \| 0 \| 0 \| 5 row 2 : 2 \| mf \| 17 \| paul parry \| 3 \| 0 \| 1 \| 0 \| 4 row 3 : 3 \| fw \| 24 \| tom eaves \| 3 \| 0 \| 0 \| 0 \| 3 row 4 : 4 \| mf \| 11 \| jon taylor \| 1 \| 0 \| 0 \| 1 \| 2 row 5 : 4 \| df \| 5 \| darren jones \| 2 \| 0 \| 0 \| 0 \| 2 row 6 : 4 \| mf \| 23 \| adam reach \| 2 \| 0 \| 0 \| 0 \| 2 row 7 : 4 \| mf \| 22 \| ryan woods \| 2 \| 0 \| 0 \| 0 \| 2 row 8 : 4 \| fw \| 26 \| curtis main \| 2 \| 0 \| 0 \| 0 \| 2 row 9 : 5 \| mf \| 2 \| jermaine grandison \| 1 \| 0 \| 0 \| 0 \| 1 row 10 : 5 \| mf \| 8 \| dave mcallister \| 1 \| 0 \| 0 \| 0 \| 1 row 11 : 5 \| fw \| 15 \| aaron wildig \| 1 \| 0 \| 0 \| 0 \| 1 row 12 : 5 \| fw \| 29 \| asa hall \| 1 \| 0 \| 0 \| 0 \| 1 row 13 : 5 \| fw \| 7 \| gozie ugwu \| 1 \| 0 \| 0 \| 0 \| 1 row 14 : 5 \| df \| 18 \| connor goldson \| 1 \| 0 \| 0 \| 0 \| 1 row 15 : 5 \| mf \| 10 \| nicky wroe \| 1 \| 0 \| 0 \| 0 \| 1 row 16 : 5 \| fw \| 9 \| tom bradshaw \| 1 \| 0 \| 0 \| 0 \| 1 ] Execute this SQL based on the above table: select name where id = 12	asa hall
[ header: pos \| no \| driver \| constructor \| time \| gap row 1 : 1 \| 1 \| mika hakkinen \| mclaren-mercedes \| 1:24.804 \| None row 2 : 2 \| 3 \| michael schumacher \| ferrari \| 1:25.223 \| +0.419 row 3 : 3 \| 2 \| david coulthard \| mclaren-mercedes \| 1:25.594 \| +0.790 row 4 : 4 \| 4 \| eddie irvine \| ferrari \| 1:25.677 \| +0.873 row 5 : 5 \| 8 \| heinz-harald frent \| jordan-mugen-honda \| 1:25.991 \| +1.187 row 6 : 6 \| 7 \| damon hill \| jordan-mugen-honda \| 1:26.099 \| +1.295 row 7 : 7 \| 16 \| rubens barrichello \| stewart-ford \| 1:26.194 \| +1.390 row 8 : 8 \| 6 \| ralf schumacher \| williams-supertec \| 1:26.438 \| +1.634 row 9 : 9 \| 22 \| jacques villeneuve \| bar-supertec \| 1:26.719 \| +1.915 row 10 : 10 \| 11 \| jean alesi \| sauber-petronas \| 1:26.761 \| +1.957 row 11 : 11 \| 17 \| johnny herbert \| stewart-ford \| 1:26.873 \| +2.069 row 12 : 12 \| 12 \| pedro diniz \| sauber-petronas \| 1:27.196 \| +2.392 row 13 : 13 \| 5 \| alessandro zanardi \| williams-supertec \| 1:27.223 \| +2.419 row 14 : 14 \| 19 \| jarno trulli \| prost-peugeot \| 1:27.227 \| +2.423 row 15 : 15 \| 18 \| olivier panis \| prost-peugeot \| 1:27.543 \| +2.739 row 16 : 16 \| 23 \| ricardo zonta \| bar-supertec \| 1:27.699 \| +2.895 row 17 : 17 \| 9 \| giancarlo fisichella \| benetton-playlife \| 1:27.857 \| +3.053 row 18 : 18 \| 10 \| alexander wurz \| benetton-playlife \| 1:28.010 \| +3.206 row 19 : 19 \| 15 \| toranosuke takagi \| arrows \| 1:28.037 \| +3.233 row 20 : 20 \| 14 \| pedro de la rosa \| arrows \| 1:28.148 \| +3.344 row 21 : 21 \| 20 \| luca badoer \| minardi-ford \| 1:28.695 \| +3.891 row 22 : 22 \| 21 \| marc gene \| minardi-ford \| 1:28.772 \| +3.968 ] Execute this SQL based on the above table: select count ( * )	22
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 2001 \| asian junior championships \| bandar seri begawan, brun \| 1st \| 110 m hurdles \| 14.05 row 2 : 2002 \| world junior championships \| kingston, jamaica \| 2nd \| 110 m hurdles \| 13.58 row 3 : 2002 \| asian games \| busan, south korea \| 4th \| 110 m hurdles \| 13.92 row 4 : 2003 \| world indoor championships \| birmingham, united kingdom \| 18th (h) \| 60 m hurdles \| 7.81 row 5 : 2003 \| world championships \| paris, france \| 6th \| 110 m hurdles \| 13.55 row 6 : 2003 \| asian championships \| manila, philippines \| 1st \| 110 m hurdles \| 13.5 row 7 : 2004 \| world indoor championships \| budapest, hungary \| 17th (h) \| 60 m hurdles \| 7.75 row 8 : 2004 \| olympic games \| athens, greece \| 33rd (h) \| 110 m hurdles \| 13.68 row 9 : 2005 \| world championships \| helsinki, finland \| 9th (sf) \| 110 m hurdles \| 13.44 row 10 : 2005 \| asian championships \| incheon, south korea \| 2nd \| 110 m hurdles \| 13.44 row 11 : 2006 \| world indoor championships \| moscow, russia \| 8th (sf) \| 60 m hurdles \| 7.63 row 12 : 2006 \| asian games \| doha, qatar \| 2nd \| 110 m hurdles \| 13.28 row 13 : 2007 \| world championships \| osaka, japan \| 5th \| 110 m hurdles \| 13.19 row 14 : 2008 \| world indoor championships \| valencia, spain \| 9th (sf) \| 60 m hurdles \| 7.65 row 15 : 2008 \| olympic games \| beijing, china \| 8th (sf) \| 110 m hurdles \| 13.42 row 16 : 2009 \| asian championships \| guangzhou, china \| 2nd \| 110 m hurdles \| 13.67 row 17 : 2009 \| world championships \| berlin, germany \| 8th (sf) \| 110 m hurdles \| 13.42 row 18 : 2010 \| world indoor championships \| doha, qatar \| 16th (sf) \| 60 m hurdles \| 7.82 row 19 : 2010 \| asian games \| guangzhou, china \| 2nd \| 110 m hurdles \| 13.38 row 20 : 2011 \| asian championships \| kobe, japan \| 2nd \| 110 m hurdles \| 13.56 row 21 : 2011 \| world championships \| daegu, south korea \| 9th (sf) \| 110 m hurdles \| 13.57 row 22 : 2012 \| world indoor championships \| istanbul, turkey \| 24th (h) \| 60m hurdles \| 8.15 row 23 : 2012 \| olympic games \| london, united kingdom \| 37th (h) \| 110 m hurdles \| 13.78 ] Execute this SQL based on the above table: select position order by notes desc limit 1	1st
[ header: player \| year \| round \| result \| opponent row 1 : raymond van barneveld \| 2009 \| quarter-final \| won \| jelle klaasen row 2 : raymond van barneveld \| 2010 \| 2nd round \| won \| brendan dolan row 3 : adrian lewis \| 2011 \| final \| won \| gary anderson row 4 : dean winstanley \| 2013 \| 2nd round \| lost \| vincent van der voort row 5 : michael van gerwen \| 2013 \| semi final \| won \| james wade row 6 : terry jenkins \| 2014 \| 1st round \| lost \| per laursen row 7 : kyle anderson \| 2014 \| 1st round \| lost \| ian white ] Execute this SQL based on the above table: select ( select player where result = 'won' ) - ( select player where result = 'won' )	0
[ header: institution \| location \| established \| gained university status \| vice-chancellor \| total number of students \| research funding (£,000) row 1 : birkbeck, university of lon \| london \| 1823 \| 1920 \| professor david latchman \| 19020 \| 9985 row 2 : university of east anglia \| norwich \| 1963 \| 1963 \| professor edward acton \| 19585 \| 16482 row 3 : university of essex \| colchester \| 1964 \| 1964 \| professor anthony forster \| 11690 \| 9967 row 4 : goldsmiths, university of london \| london \| 1891 \| 1904 \| dr pat loughrey \| 7615 \| 8539 row 5 : institute of education, university of london \| london \| 1902 \| 1932 \| professor chris husbands \| 7215 \| 7734 row 6 : university of lancaster \| lancaster \| 1964 \| 1964 \| professor mark smith \| 12695 \| 18640 row 7 : university of leicester \| leicester \| 1921 \| 1957 \| professor robert burgess \| 16160 \| 22225 row 8 : loughborough university \| loughborough \| 1909 \| 1966 \| professor robert allison \| 17825 \| 22398 row 9 : royal holloway, university of lon \| egham \| 1849 \| 1900 \| professor paul layzell (principal \| 7620 \| 13699 row 10 : soas, university of london \| london \| 1916 \| 1916 \| professor paul webley \| 4525 \| 7238 row 11 : university of sussex \| brighton \| 1961 \| 1961 \| professor michael farthing \| 12415 \| 16196 ] Execute this SQL based on the above table: select count ( institution ) where vice-chancellor = 'professor anthony forster'	1
[ header: rank \| mountain peak \| mountain range \| elevation \| prominence \| isolation \| location row 1 : 1 \| mount whitney \| sierra nevada \| 14,505 ft 4421 m \| 10,080 ft 3072 m \| 1,646 mi 2,649 km \| 36°34′43′′n 118° row 2 : 2 \| mount williamson \| sierra nevada \| 14,379 ft 4383 m \| 1,677 ft 511 m \| 5.4 mi 8.7 km \| 36°39′21′′n 118° row 3 : 4 \| north palisade \| sierra nevada \| 14,248 ft 4343 m \| 2,894 ft 882 m \| 32 mi 52 km \| 37°05′39′′n 118° row 4 : 5 \| mount shasta \| cascade range \| 14,179 ft 4322 m \| 9,832 ft 2997 m \| 335 mi 539 km \| 41°24′33′′n 122° row 5 : 6 \| mount humphreys \| sierra nevada \| 13,992 ft 4265 m \| 2,563 ft 781 m \| 15 mi 24 km \| 37°16′14′′n 118° row 6 : 7 \| mount keith \| sierra nevada \| 13,982 ft 4262 m \| 1,936 ft 590 m \| 3.1 mi 5.0 km \| 36°42′00′′n 118° row 7 : 10 \| mount morgan \| sierra nevada \| 13,758 ft 4193 m \| 2,648 ft 807 m \| 10 mi 16 km \| 37°24′19′′n 118° row 8 : 11 \| mount gabb \| sierra nevada \| 13,747 ft 4190 m \| 2,601 ft 793 m \| 4.3 mi 6.9 km \| 37°22′37′′n 118° row 9 : 12 \| mount tom \| sierra nevada \| 13,657 ft 4163 m \| 1,992 ft 607 m \| 4.8 mi 7.7 km \| 37°22′34′′n 119° row 10 : 13 \| mount dubois \| white mountains \| 13,565 ft 4135 m \| 2,339 ft 713 m \| 10 mi 16 km \| 37°47′00′′n 118° row 11 : 15 \| red slate mountain \| sierra nevada \| 13,162 ft 4012 m \| 1,736 ft 529 m \| 8 mi 13 km \| 37°30′27′′n 118° row 12 : 16 \| mount ritter \| sierra nevada \| 13,149 ft 4008 m \| 3,990 ft 1216 m \| 22 mi 35 km \| 37°41′21′′n 119° ] Execute this SQL based on the above table: select count ( * ) where mountain peak < ( select mountain peak where rank = 5 and mountain range = 'sierra nevada' )	0
[ header: name \| mark \| system \| from \| to \| successor \| notes row 1 : alexandria and frede \| None \| rf&p \| 1872 \| 1890 \| baltimore and potomac railroad \| None row 2 : alexandria and washington railroad \| None \| rf&p \| 1854 \| 1872 \| alexandria and frede \| None row 3 : chesapeake and ohi \| c&o, co \| c&o \| 1891 \| 1987 \| csx transportation \| None row 4 : consolidated rail corporation \| cr \| None \| 1976 \| 1999 \| csx transportation/norfo \| None row 5 : east washington railway \| None \| None \| 1935 \| 1976 \| None \| None row 6 : georgetown barge, dock, elevator \| None \| b&o \| 1888 \| 1972 \| baltimore and ohio \| None row 7 : orange, alexandria and man \| None \| sou \| 1872 \| 1872 \| virginia and north carolina railroad \| None row 8 : penn central transportation company \| pc \| None \| 1968 \| 1976 \| consolidated rail corporation \| None row 9 : pennsylvania railroad \| prr \| prr \| 1918 \| 1968 \| penn central transportation company \| None row 10 : philadelphia, baltimore \| None \| prr \| 1902 \| 1976 \| consolidated rail corporation \| None row 11 : philadelphia, wilm \| None \| prr \| 1891 \| 1902 \| philadelphia, baltimore \| None row 12 : richmond and danville railroad \| None \| sou \| 1886 \| 1894 \| southern railway \| None row 13 : richmond, fredericksburg and pot \| rf&p, rfp \| rf&p \| 1920 \| 1991 \| richmond, fredericksburg and pot \| None row 14 : southern railway \| sou \| sou \| 1894 \| 1990 \| norfolk southern railway \| None row 15 : southern maryland railroad \| None \| None \| 1882 \| 1886 \| washington and potomac railroad \| None row 16 : virginia midland railway \| None \| sou \| 1880 \| 1886 \| richmond and danville railroad \| None row 17 : virginia and north carolina railroad \| None \| sou \| 1872 \| 1873 \| washington city, virginia midland \| None row 18 : washington, alexandria and \| None \| rf&p \| 1862 \| 1868 \| alexandria and washington railroad \| None row 19 : washington city and point lookout railroad \| None \| b&o \| 1873 \| 1874 \| baltimore and ohio \| None row 20 : washington city, virginia midland \| None \| sou \| 1873 \| 1880 \| virginia midland railway \| None row 21 : washington and potomac railroad \| None \| None \| 1886 \| 1900 \| washington, potomac and chesa \| None row 22 : washington, potomac and chesa \| None \| None \| 1901 \| 1910 \| washington, potomac and chesa \| None row 23 : washington, potomac and chesa \| None \| None \| 1910 \| 1918 \| chesapeake beach railway \| None row 24 : washington southern railway \| wsn \| rf&p \| 1901 \| 1920 \| richmond, fredericksburg and pot \| None row 25 : washington terminal company \| watc \| b&o/ prr \| 1901 \| None \| None \| still exists as a subsidiary of the national railroad row 26 : washington and western maryland railroad \| None \| b&o \| 1889 \| 1985 \| None \| None ] Execute this SQL based on the above table: select successor where id = ( select id where successor = 'baltimore and potomac railroad' ) + 1	alexandria and fredericksburg railway
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| brazil \| 45 \| 33 \| 36 \| 114 row 2 : 2 \| china \| 37 \| 28 \| 34 \| 99 row 3 : 3 \| italy \| 14 \| 13 \| 24 \| 51 row 4 : 4 \| poland \| 13 \| 19 \| 11 \| 43 row 5 : 5 \| france \| 11 \| 3 \| 3 \| 17 row 6 : 6 \| south korea \| 8 \| 6 \| 8 \| 22 row 7 : 7 \| north korea \| 7 \| 2 \| 3 \| 12 row 8 : 8 \| kenya \| 6 \| 5 \| 5 \| 16 row 9 : 9 \| germany \| 5 \| 19 \| 11 \| 35 row 10 : 10 \| ukraine \| 5 \| 4 \| 9 \| 18 row 11 : 11 \| iran \| 5 \| 3 \| 4 \| 12 row 12 : 12 \| norway \| 4 \| 5 \| 2 \| 11 row 13 : 13 \| qatar \| 3 \| 1 \| 2 \| 6 row 14 : 14 \| chile \| 2 \| 4 \| 2 \| 8 row 15 : 15 \| austria \| 2 \| 2 \| 2 \| 6 row 16 : 16 \| lithuania \| 2 \| 1 \| 2 \| 5 row 17 : 17 \| belarus \| 2 \| 0 \| 4 \| 6 row 18 : 18 \| latvia \| 2 \| 0 \| 2 \| 4 row 19 : 19 \| sweden \| 2 \| 0 \| 0 \| 2 row 20 : 20 \| morocco \| 1 \| 7 \| 1 \| 9 row 21 : 21 \| turkey \| 1 \| 5 \| 4 \| 10 row 22 : 22 \| kazakhstan \| 1 \| 3 \| 6 \| 10 row 23 : 22 \| venezuela \| 1 \| 3 \| 6 \| 10 row 24 : 24 \| switzerland \| 1 \| 3 \| 5 \| 9 row 25 : 25 \| slovenia \| 1 \| 2 \| 6 \| 9 row 26 : 26 \| bahrain \| 1 \| 2 \| 4 \| 7 row 27 : 26 \| finland \| 1 \| 2 \| 4 \| 7 row 28 : 28 \| algeria \| 1 \| 2 \| 3 \| 6 row 29 : 29 \| estonia \| 1 \| 2 \| 2 \| 5 row 30 : 30 \| united states \| 1 \| 1 \| 3 \| 5 row 31 : 31 \| netherlands \| 1 \| 1 \| 2 \| 4 row 32 : 32 \| syria \| 1 \| 1 \| 0 \| 2 row 33 : 33 \| belgium \| 1 \| 0 \| 2 \| 3 row 34 : 33 \| romania \| 1 \| 0 \| 2 \| 3 row 35 : 35 \| canada \| 1 \| 0 \| 1 \| 2 row 36 : 35 \| uganda \| 1 \| 0 \| 1 \| 2 row 37 : 37 \| croatia \| 1 \| 0 \| 0 \| 1 row 38 : 37 \| denmark \| 1 \| 0 \| 0 \| 1 row 39 : 37 \| ecuador \| 1 \| 0 \| 0 \| 1 row 40 : 40 \| greece \| 0 \| 5 \| 3 \| 8 row 41 : 41 \| tunisia \| 0 \| 3 \| 1 \| 4 row 42 : 42 \| dominican republic \| 0 \| 1 \| 2 \| 3 row 43 : 43 \| jordan \| 0 \| 1 \| 1 \| 2 row 44 : 44 \| egypt \| 0 \| 1 \| 0 \| 1 row 45 : 44 \| hungary \| 0 \| 1 \| 0 \| 1 row 46 : 46 \| india \| 0 \| 0 \| 3 \| 3 row 47 : 47 \| cameroon \| 0 \| 0 \| 2 \| 2 row 48 : 47 \| namibia \| 0 \| 0 \| 2 \| 2 row 49 : 47 \| sri lanka \| 0 \| 0 \| 2 \| 2 row 50 : 47 \| uruguay \| 0 \| 0 \| 2 \| 2 row 51 : 51 \| argentina \| 0 \| 0 \| 1 \| 1 row 52 : 51 \| pakistan \| 0 \| 0 \| 1 \| 1 row 53 : 51 \| suriname \| 0 \| 0 \| 1 \| 1 ] Execute this SQL based on the above table: select rank group by rank order by count ( nation ) desc limit 1	47
[ header: year \| film \| song \| language row 1 : 2005 \| the tiger \| kaliya visha dhara \| malayalam row 2 : 2006 \| chinthamani kolacase \| asathoma \| malayalam row 3 : 2006 \| the don \| theme song \| malayalam row 4 : 2007 \| detective \| theme song \| malayalam row 5 : 2008 \| sound of boot \| yamuna sangitaam \| malayalam row 6 : 2009 \| kerala cafe (bgm) \| lalitham hiranmyam \| malayalam row 7 : 2010 \| ringtone \| 5 songs \| malayalam row 8 : 2010 \| "thriller \| bgm \| malayalam row 9 : 2011 \| thaazhvaarakaat \| 5 songs \| malayalam row 10 : 2012 \| shyloo \| shyloo \| kannada row 11 : 2012 \| crime story \| 3 songs \| malayalam row 12 : 2012 \| munjane \| yaro ob sund \| kannada row 13 : 2012 \| sankranthi \| belakkilla balali \| kannada row 14 : 2012 \| kai thunindavan \| 5 songs \| tamil ] Execute this SQL based on the above table: select film where song = 'belakkilla balali'	sankranthi
[ header: date \| opponent# \| rank# \| site \| result row 1 : september 12 \| at colorado \| None \| folsom field • boulder, co \| w 44-6 row 2 : september 19 \| at #5 ohio state \| None \| ohio stadium • columbus \| l 14-24 row 3 : september 26 \| san diego state \| None \| autzen stadium • eugene \| w 25-20 row 4 : october 3 \| #16 washington \| None \| autzen stadium • eugene \| w 29-22 row 5 : october 10 \| usc \| None \| autzen stadium • eugene \| w 34-27 row 6 : october 17 \| at #9 ucla \| #16 \| rose bowl • pasadena, ca \| l 10-41 row 7 : october 24 \| at stanford \| None \| stanford stadium • stanford, ca \| l 10-13 row 8 : october 31 \| california \| None \| autzen stadium • eugene \| l 6-20 row 9 : november 7 \| at arizona state \| None \| sun devil stadium • tempe, a \| l 17-37 row 10 : november 14 \| at washington state \| None \| martin stadium • pullman, wa \| w 31-17 row 11 : november 21 \| oregon state \| None \| autzen stadium • eugene \| w 44-0 ] Execute this SQL based on the above table: select date where id = ( select id where date = 'october 10' ) + 1	october 17
[ header: game \| date \| opponent \| location \| score \| ot \| attendance \| record row 1 : 1 \| january 9, 2009 \| @ portland lumberjax \| rose garden \| w 12-10 \| None \| 6859 \| 1-0 row 2 : 2 \| january 10, 2009 \| portland lumberjax \| pepsi center \| l 5-14 \| None \| 16987 \| 1-1 row 3 : 3 \| january 24, 2009 \| edmonton rush \| pepsi center \| l 9-11 \| None \| 16734 \| 1-2 row 4 : 4 \| january 31, 2009 \| new york titans \| pepsi center \| w 12-8 \| None \| 15023 \| 2-2 row 5 : 5 \| february 7, 2009 \| @ minnesota swarm \| xcel energy center \| w 13-8 \| None \| 11174 \| 3-2 row 6 : 6 \| february 14, 2009 \| calgary roughnecks \| pepsi center \| w 13-12 \| None \| 17712 \| 4-2 row 7 : 7 \| february 21, 2009 \| @ san jose stealth \| hp pavilion at san jose \| l 9-14 \| None \| 5576 \| 4-3 row 8 : 8 \| february 22, 2009 \| @ edmonton rush \| rexall place \| l 9-10 \| None \| 7249 \| 4-4 row 9 : 9 \| march 14, 2009 \| @ san jose stealth \| hp pavilion at san jose \| w 14-11 \| None \| 3535 \| 5-4 row 10 : 10 \| march 21, 2009 \| @ calgary roughnecks \| pengrowth saddledome \| l 10-13 \| None \| 10958 \| 5-5 row 11 : 11 \| march 22, 2009 \| minnesota swarm \| pepsi center \| w 13-11 \| None \| 15594 \| 6-5 row 12 : 12 \| march 28, 2009 \| @ philadelphia wings \| wachovia center \| l 13-17 \| None \| 11876 \| 6-6 row 13 : 13 \| april 3, 2009 \| rochester knighthawks \| pepsi center \| l 8-12 \| None \| 16834 \| 6-7 row 14 : 14 \| april 4, 2009 \| @ portland lumberjax \| rose garden \| l 12-13 \| ot \| 7859 \| 6-8 row 15 : 15 \| april 11, 2009 \| san jose stealth \| pepsi center \| l 10-11 \| ot \| 16189 \| 6-9 row 16 : 16 \| april 17, 2009 \| edmonton rush \| pepsi center \| w 10-9 \| None \| 16727 \| 7-9 ] Execute this SQL based on the above table: select count ( record ) where game >= 3 and game > 30	0
[ header: seat \| state \| majority \| member \| party row 1 : hinkler \| qld \| 0 \| paul neville \| npa row 2 : solomon \| nt \| 0.1 \| dave tollner \| lib row 3 : adelaide \| sa \| 0.2 \| hon trish worth \| lib row 4 : canning \| wa \| 0.4 \| don randall \| lib row 5 : dobell \| nsw \| 0.4 \| ken ticehurst \| lib row 6 : parramatta \| nsw \| 1.1 \| ross cameron \| lib row 7 : mcewen \| vic \| 1.2 \| fran bailey \| lib row 8 : paterson \| nsw \| 1.4 \| bob baldwin \| lib row 9 : herbert \| qld \| 1.6 \| peter lindsay \| lib row 10 : richmond \| nsw \| 1.6 \| hon larry anthony \| npa row 11 : deakin \| vic \| 1.7 \| philip barresi \| lib row 12 : eden-monaro \| nsw \| 1.7 \| gary nairn \| lib row 13 : hindmarsh \| sa \| 1.9 \| hon christine gallus \| lib ] Execute this SQL based on the above table: select count ( majority ) where member = '0'	0
[ header: pos. \| time \| athlete \| country \| venue \| date row 1 : 1 \| 12.21 (+0.7) \| yordanka donkova \| bulgaria \| stara zagora \| 20 august 1988 row 2 : 2 \| 12.25 (+1.4) \| ginka zagorcheva \| bulgaria \| drama \| 8 august 1987 row 3 : 3 \| 12.26 (+1.7) \| ludmila narozh \| russia \| seville \| 6 june 1992 row 4 : 3 \| 12.26 (+1.2) \| brianna rollins \| united states \| des moines \| 22 june 2013 row 5 : 5 \| 12.28 (+1.1) \| sally pearson \| australia \| daegu \| 3 september 2011 row 6 : 6 \| 12.33 (-0.3) \| gail devers \| united states \| sacramento \| 23 july 2000 row 7 : 7 \| 12.36 (+1.9) \| grazyna rabszt \| poland \| warsaw \| 13 june 1980 row 8 : 8 \| 12.37 (+1.5) \| joanna hayes \| united states \| athens \| 24 august 2004 row 9 : 8 \| 12.37 (-0.2) \| dawn harper \| united states \| london \| 7 august 2012 row 10 : 10 \| 12.39 (+1.5) \| vera komisova \| soviet union \| rome \| 5 august 1980 row 11 : 10 \| 12.39 (+1.8) \| nataliya grygoryeva \| soviet union \| kiev \| 11 july 1991 row 12 : 12 \| 12.42 (+1.8) \| bettine jahn \| east germany \| berlin \| 8 june 1983 row 13 : 12 \| 12.42 (+2.0) \| anjanette kirkland \| united states \| edmonton \| 11 august 2001 row 14 : 14 \| 12.43 (-0.9) \| lucyna kalek \| poland \| hannover \| 19 august 1984 row 15 : 14 \| 12.43 (-0.3) \| michelle perry \| united states \| carson \| 26 june 2005 row 16 : 14 \| 12.43 (+0.2) \| lolo jones \| united states \| beijing \| 18 august 2008 row 17 : 14 \| 12.43 (+1.2) \| queen harrison \| united states \| des moines \| 22 june 2013 row 18 : 18 \| 12.44 (-0.5) \| gloria siebert \| east germany \| rome \| 4 september 1987 row 19 : 18 \| 12.44 (-0.8) \| olga shishigina \| kazakhstan \| lucerne \| 27 june 1995 row 20 : 18 \| 12.44 (+0.4) \| glory alozie \| nigeria \| monaco \| 8 august 1998 row 21 : 18 \| 12.44 (+0.6) \| damu cherry \| united states \| lausanne \| 7 july 2006 row 22 : 22 \| 12.45 (+1.3) \| cornelia oschkenat \| east germany \| neubrandenburg \| 11 june 1987 row 23 : 22 \| 12.45 (+1.4) \| brigitte foster-hylton \| jamaica \| eugene \| 24 may 2003 row 24 : 22 \| 12.45 (+1.5) \| olena krasov \| ukraine \| athens \| 24 august 2004 row 25 : 22 \| 12.45 (+1.4) \| virginia crawford \| united states \| new york city \| 2 june 2007 ] Execute this SQL based on the above table: select pos. where country = 'united states'	3.0, 6.0, 8.0, 8.0, 12.0, 14.0, 14.0, 14.0, 18.0, 22.0
[ header: temple name \| posthumous name \| family name (in bold) and personal name \| reign \| era names and their year ranges \| notes row 1 : shizu 始祖 \| emperor wulie 武烈皇帝 \| sun jian 孫堅 \| None \| None \| sun jian's temple and post row 2 : None \| prince huan of changs \| sun ce 孫策 \| None \| None \| sun ce's posthumous name was granted row 3 : taizu 太祖 \| emperor da 大皇帝 \| sun quan 孫權 \| 222-252 \| huangwu 黃武 (222 \| sun quan adopted the era name "h row 4 : None \| (n/a) \| sun liang \| 252-258 \| jianxing 建興 (252 \| sun liang became "prince of row 5 : None \| emperor jing 景皇帝 \| sun xiu 孫休 \| 258-264 \| yong'an 永安 (258- \| None row 6 : None \| emperor wen 文皇帝 \| sun he 孫和 \| None \| None \| sun he's posthumous name was row 7 : None \| None \| sun hao 孫皓 \| 264-280 \| yuanxing 元興 (264 \| sun hao held the title of "marqui ] Execute this SQL based on the above table: select era names and their year ranges where notes = 'sun hao held the title of "marquis of wucheng" (烏程侯) before he became emperor in 264. in 280, after surrendering to the jin dynasty, he was granted the title of granted the title of "marquis of guiming" (歸命侯) by sima yan. he is also sometimes referred to as "emperor mo of wu" (吳末帝), which literally means "last emperor of wu"' order by reign limit 1415	yuanxing 元興 (264-265) ganlu 甘露 (265-266) baoding 寶鼎 (266-269) jianheng 建衡 (269-271) fenghuang 鳳凰 (272-274) tiance 天冊 (275-276) tianxi 天璽 (276) tianji 天紀 (277-280)
[ header: pos. \| car # \| driver \| make \| team row 1 : 1 \| 38 \| jason leffler \| toyota \| braun racing row 2 : 2 \| 16 \| greg biffle \| ford \| roush fenway racing row 3 : 3 \| 99 \| david reutimann \| toyota \| michael waltrip racing row 4 : 4 \| 60 \| carl edwards \| ford \| roush fenway racing row 5 : 5 \| 77 \| ron hornaday \| chevrolet \| kevin harvick incorporated row 6 : 6 \| 20 \| aric almirola \| chevrolet \| joe gibbs racing row 7 : 7 \| 29 \| scott wimmer \| chevrolet \| richard childress racing row 8 : 8 \| 42 \| kevin hamlin \| dodge \| chip ganassi racing row 9 : 9 \| 10 \| mike bliss \| toyota \| braun racing row 10 : 10 \| 88 \| brad keselowski \| chevrolet \| jr motorsports ] Execute this SQL based on the above table: select driver where driver != 'carl edwards' order by car # desc limit 1	david reutimann
[ header: year \| film \| language \| character \| co-star \| music \| banner row 1 : 1941 \| bhaktimala \| telugu \| radha \| None \| None \| bhaskar films row 2 : 1941 \| dharmapatni \| tamil \| None \| None \| None \| famous films row 3 : 1944 \| tahsildar \| telugu \| kamala \| None \| None \| None row 4 : 1946 \| gruhapravesam \| telugu \| janaki \| None \| None \| sarati films row 5 : 1947 \| ratnamala \| telugu \| ratnamala \| c. s. r. an \| c. r. subburaman \| bharani pictures row 6 : 1949 \| laila majnu \| telugu \| laila \| a. nageswara r \| c. r. subburaman \| bharani pictures row 7 : 1949 \| apoorva sagodhar \| tamil \| kanchana \| m. k. radha \| s. rajeswara \| gemini studios row 8 : 1951 \| malleeswari \| telugu \| malleeswari \| n. t. rama r \| adepalli rama r \| vijaya studios row 9 : 1951 \| mangala \| hindi \| mangala \| None \| None \| gemini studios row 10 : 1952 \| rani \| tamil \| None \| s. balachander \| c. r. subburaman \| jupiter pictures row 11 : 1952 \| rani \| hindi \| None \| anoop kumar \| c. r. subburaman \| jupiter pictures row 12 : 1953 \| chandirani \| hindi \| champa & chandi \| dilip kumar \| c. r. subburaman \| bharani pictures row 13 : 1957 \| makkalai petra magarasi \| tamil \| rangamma \| sivaji ganesan \| k. v. mahadevan \| sri lakshmi row 14 : 1961 \| batasari \| telugu \| madhavi \| a. nageswara r \| master venu \| bharani pictures row 15 : 1965 \| antastulu \| telugu \| None \| a. nageswara r \| k. v. mahadevan \| None row 16 : 1967 \| grihalakshmi \| telugu \| laxmi \| None \| None \| None row 17 : 1967 \| pattatthu rani \| tamil \| None \| gemini ganesan \| t. k. ramamoorth \| None row 18 : 1984 \| mangamma gari manavadu \| telugu \| mangamma \| None \| None \| None row 19 : 1988 \| attagaru swagatham \| telugu \| None \| None \| None \| None ] Execute this SQL based on the above table: select film order by co-star desc limit 1	makkalai petra magarasi
[ header: name \| variant name(s) \| source \| source coordinates \| length \| mouth \| mouth coordinates row 1 : mouth \| None \| None \| None \| None \| aliso creek beach, laguna beach \| 33°30′38′′n 117° row 2 : wood canyon creek \| None \| aliso viejo \| 33°35′39′′n 117° \| 2.8 miles (4.5 km) \| aliso canyon-right bank of alis \| 33°32′28′′n 117° row 3 : sulphur creek \| arroyo salada, sulph \| north laguna niguel \| 33°33′33′′n 117° \| 4.5 miles (7.2 km) \| head of aliso canyon-left bank of \| 33°32′32′′n 117° row 4 : aliso hills channel \| None \| south laguna hills \| None \| 4.5 miles (7.2 km) \| aliso viejo-left bank of al \| None row 5 : dairy fork \| dairy fork storm drain \| south laguna woods \| None \| 3 miles (4.8 km) \| aliso viejo- right bank of al \| None row 6 : munger creek \| munger creek storm drain \| lake forest \| None \| 1 mile (1.6 km) \| mission viejo-right bank of aliso \| None row 7 : unnamed northern fork \| None \| portola hills \| None \| 2.5 miles (4.0 km) \| mission viejo-right bank of aliso \| None row 8 : english canyon \| english canyon creek, english canyon channel \| mission viejo \| 33°39′30′′n 117° \| 3.5 miles (5.6 km) \| mission viejo-left bank of aliso \| 33°37′42′′n 117° row 9 : source \| None \| cleveland national forest, portola \| 33°42′10′′n 117° \| None \| None \| None ] Execute this SQL based on the above table: select name order by source coordinates asc limit 1	mouth
[ header: # \| district \| land area (km2) \| population (2010 census) \| density (persons/km2) row 1 : 1 \| anse la raye \| 30.9 \| 6247 \| 210 row 2 : 2 \| praslin \| 16 \| 2044 \| 119 row 3 : 3 \| castries \| 79.5 \| 65656 \| 776 row 4 : 4 \| choiseul \| 31.3 \| 6098 \| 206 row 5 : 5 \| dennery \| 69.7 \| 12599 \| 182 row 6 : 6 \| forest reserve \| 78 \| 0 \| 0 row 7 : 7 \| gros islet \| 101.5 \| 25210 \| 196 row 8 : 8 \| laborie \| 37.8 \| 6701 \| 210 row 9 : 9 \| micoud \| 77.7 \| 16284 \| 220 row 10 : 10 \| soufriere \| 50.5 \| 8472 \| 144 row 11 : 11 \| vieux fort \| 43.8 \| 16284 \| 371 row 12 : None \| saint lucia \| 608.7 \| 165595 \| 256 ] Execute this SQL based on the above table: select land area (km2) where # is null	608.7
[ header: rank \| athlete \| qual \| final \| total \| notes row 1 : None \| silvia sperber (frg \| 590 \| 95.6 \| 685.6 \| or row 2 : None \| vesela letcheva (bul) \| 583 \| 100.2 \| 683.2 \| None row 3 : None \| valentina cherkasova ( \| 586 \| 95.4 \| 681.4 \| None row 4 : 4 \| katja klepp (gdr \| 584 \| 96.5 \| 680.5 \| None row 5 : 5 \| sharon bowes (can) \| 584 \| 96.5 \| 680.5 \| None row 6 : 6 \| anna maloukhina (urs) \| 585 \| 93.4 \| 678.4 \| None row 7 : 7 \| launi meili (usa) \| 582 \| 94.5 \| 676.5 \| None row 8 : 8 \| anita karlsson (s \| 583 \| 93.4 \| 676.4 \| None ] Execute this SQL based on the above table: select count ( athlete ) where total >= 1093	0
[ header: year \| 1st venue \| 2nd venue \| 3rd venue \| 4th venue \| 5th venue \| 6th venue row 1 : 2007 \| sheffield \| mexico city \| nanjing \| None \| None \| None row 2 : 2008 \| tijuana \| sheffield \| nanjing \| None \| None \| None row 3 : 2009 \| doha \| changzhou \| sheffield \| tijuana \| None \| None row 4 : 2010 \| qingdao \| veracruz \| veracruz \| None \| None \| None row 5 : 2011 \| moscow \| beijing \| sheffield \| guanajuato \| None \| None row 6 : 2012 \| dubai \| beijing \| moscow \| tijuana \| None \| None row 7 : 2013 \| beijing \| dubai \| edinburgh \| moscow \| guadalajara \| guadalajara row 8 : 2014 \| beijing \| dubai \| london \| moscow \| windsor \| monterrey ] Execute this SQL based on the above table: select 3rd venue order by year limit 1	nanjing
[ header: year \| title \| hangul \| network \| further info row 1 : 2008 \| pretty boys: a wrong situation \| 꽃미남 아롱사태 \| mnet \| None row 2 : 2009 \| let's go dream team! season 2 \| 출발 드림팀2 \| kbs2 \| variety show row 3 : 2009-10 \| music bank \| 뮤직뱅크 \| kbs2 \| music show, as mc row 4 : 2010-11 \| running man \| 런닝맨 \| sbs \| variety show row 5 : 2011 \| i'm real: song joong \| i'm real 송중기 \| qtv \| None row 6 : 2011 \| everyone dramatic \| 에브리원 드라마틱 \| mbc \| None row 7 : 2011 \| made in u \| 메이드 인 유 \| jtbc \| audition show, as mc row 8 : 2011-12 \| tears of the antarctic \| 남극의 눈물 \| mbc \| documentary, as narrator ] Execute this SQL based on the above table: select count ( * ) where network = 'kbs2'	2
[ header: team 1 \| agg. \| team 2 \| 1st leg \| 2nd leg row 1 : real union \| (a) 6-6 \| real madrid \| 3-2 \| 3-4 row 2 : portugalete \| 1-7 \| valencia \| 1-4 \| 0-3 row 3 : ponferradina \| 1-4 \| sevilla \| 1-0 \| 0-4 row 4 : orihuela \| 0-1 \| atletico \| 0-1 \| 0-0 row 5 : poli ejido \| 6-1 \| villarreal \| 5-0 \| 1-1 row 6 : hercules \| 3-7 \| valladolid \| 1-5 \| 2-2 row 7 : rayo vallecano \| 1-5 \| almeria \| 1-2 \| 0-3 row 8 : celta \| 2-5 \| espanyol \| 2-2 \| 0-3 row 9 : castellon \| 0-4 \| betis \| 0-2 \| 0-2 row 10 : real murcia \| 2-3 \| racing \| 2-1 \| 0-2 row 11 : malaga \| 1-3 \| mallorca \| 1-1 \| 0-2 row 12 : athletic \| 3-2 \| recreativo \| 2-0 \| 1-2 row 13 : getafe \| 0-1 \| osasuna \| 0-0 \| 0-1 row 14 : benidorm \| 0-2 \| barcelona \| 0-1 \| 0-1 row 15 : elche \| 0-4 \| deportivo \| 0-2 \| 0-2 row 16 : numancia \| 0-3 \| sporting \| 0-1 \| 0-2 ] Execute this SQL based on the above table: select team 1 where id = 1	real union
[ header: rnd \| circuit \| lmp1 winning team lmp1 winning drivers \| lmp2 winning team lmp2 winning drivers \| gt1 winning team gt1 winning drivers \| gt2 winning team gt2 winning drivers \| results row 1 : 1 \| sebring \| #2 audi sport north america \| #37 intersport racing \| #4 corvette racing \| #50 multimatic motorsports \| results row 2 : 1 \| sebring \| rinaldo capello tom \| clint field liz halliday \| oliver gavin olivier beretta \| scott maxwell david brabham \| results row 3 : 2 \| reliant park \| #2 audi sport north america \| #37 intersport racing \| #4 corvette racing \| #23 alex job racing \| results row 4 : 2 \| reliant park \| allan mcnish rinal \| clint field liz halliday \| oliver gavin olivier beretta \| mike rockenfeller klaus \| results row 5 : 3 \| mid-ohio \| #2 audi sport north america \| #7 penske racing \| #4 corvette racing \| #45 flying lizard motorsports \| results row 6 : 3 \| mid-ohio \| allan mcnish rinal \| timo bernhard roma \| oliver gavin olivier beretta \| johannes van overbeek wolf \| results row 7 : 4 \| lime rock \| #2 audi sport north america \| #7 penske racing \| #009 aston martin racing \| #31 petersen/white lightning \| results row 8 : 4 \| lime rock \| allan mcnish rinal \| timo bernhard roma \| stephane sarrazin pedr \| jorg bergmeister patrick long \| results row 9 : 5 \| miller \| #1 audi sport north america \| #6 penske racing \| #007 aston martin racing \| #62 risi competi \| results row 10 : 7 \| road america \| #1 audi sport north america \| #6 penske racing \| #3 corvette racing \| #31 petersen/white lightning \| results row 11 : 7 \| road america \| frank biela emanu \| sascha maassen tim \| ron fellows johnny \| jorg bergmeister patrick long mich \| results row 12 : 8 \| mosport \| #2 audi sport north america \| #7 penske racing \| #009 aston martin racing \| #62 risi competi \| results row 13 : 8 \| mosport \| allan mcnish rinal \| lucas luhr roma \| stephane sarrazin pedr \| stephane ortelli johnny \| results row 14 : 9 \| road atlanta \| #2 audi sport north america \| #6 penske racing \| #007 aston martin racing \| #31 petersen/white lightning \| results row 15 : 9 \| road atlanta \| allan mcnish rinal \| sascha maassen tim \| tomas enge darren turner \| jorg bergmeister patrick long \| results row 16 : 10 \| mazda raceway laguna sec \| #2 audi sport north america \| #7 penske racing \| #009 aston martin racing \| #62 risi competi \| results ] Execute this SQL based on the above table: select abs ( ( select rnd where results = 'results' ) - ( select rnd where results = 'results' ) )	0.0
[ header: goal \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 8 october 2010 \| ferenc puskas, bud \| san marino \| 2-0 \| 8-0 \| euro 2012 qualifying row 2 : 2 \| 8 october 2010 \| ferenc puskas, bud \| san marino \| 4-0 \| 8-0 \| euro 2012 qualifying row 3 : 3 \| 8 october 2010 \| ferenc puskas, bud \| san marino \| 5-0 \| 8-0 \| euro 2012 qualifying row 4 : 4 \| 12 october 2010 \| olympic stadium, hel \| finland \| 0-1 \| 1-2 \| euro 2012 qualifying row 5 : 5 \| 29 february 2012 \| eto park, gyor, \| bulgaria \| 1-0 \| 1-1 \| friendly row 6 : 6 \| 7 september 2012 \| estadi comunal, andorr \| andorra \| 3-0 \| 5-0 \| 2014 world cup qualification row 7 : 7 \| 16 october 2012 \| ferenc puskas, bud \| turkey \| 2-1 \| 3-1 \| 2014 world cup qualification ] Execute this SQL based on the above table: select count ( goal ) where venue <= 119	0
[ header: no \| test no \| 1st team \| 2nd team \| winner \| margin \| toss \| bat \| date row 1 : 1 \| 745 \| india \| west indies \| west indies \| 267 runs \| won \| 2nd \| 22-11-1974 row 2 : 2 \| 794 \| india \| england \| india \| 140 runs \| won \| 1st \| 28-1-1977 row 3 : 3 \| 837 \| india \| west indies \| draw \| None \| lost \| 2nd \| 15-12-1978 row 4 : 4 \| 856 \| india \| australia \| draw \| None \| lost \| 2nd \| 19-9-1979 row 5 : 5 \| 861 \| india \| pakistan \| draw \| None \| lost \| 2nd \| 21-11-1979 row 6 : 6 \| 912 \| india \| england \| draw \| None \| lost \| 2nd \| 9-12-1981 row 7 : 7 \| 961 \| india \| pakistan \| draw \| None \| won \| 1st \| 14-9-1983 row 8 : 8 \| 1073 \| india \| pakistan \| pakistan \| 16 runs \| lost \| 2nd \| 13-3-1987 row 9 : 9 \| 1107 \| india \| new zealand \| india \| 172 runs \| won \| 1st \| 12-11-1988 row 10 : 10 \| 1245 \| india \| sri lanka \| india \| inns & 95 runs \| won \| 1st \| 26-1-1994 row 11 : 11 \| 1308 \| india \| new zealand \| india \| 8 wickets \| lost \| 2nd \| 18-10-1995 row 12 : 12 \| 1413 \| india \| australia \| australia \| 8 wickets \| won \| 1st \| 25-3-1998 row 13 : 13 \| 1486 \| india \| south africa \| south africa \| inns & 71 runs \| won \| 1st \| 2-3-2000 row 14 : 14 \| 1578 \| india \| england \| draw \| None \| lost \| 2nd \| 19-12-2001 row 15 : 15 \| 1713 \| india \| australia \| australia \| 217 runs \| lost \| 2nd \| 6-10-2004 row 16 : 16 \| 1743 \| india \| pakistan \| pakistan \| 168 runs \| lost \| 2nd \| 24-3-2005 row 17 : 17 \| 1852 \| india \| pakistan \| draw \| None \| won \| 1st \| 8-12-2007 row 18 : 18 \| 1887 \| india \| australia \| draw \| None \| lost \| 2nd \| 9-10-2008 row 19 : 19 \| 1973 \| india \| australia \| india \| 7 wickets \| lost \| 2nd \| 9-10-2010 row 20 : 20 \| 2055 \| india \| new zealand \| india \| 5 wickets \| lost \| 2nd \| 25-5-2008 ] Execute this SQL based on the above table: select toss where no not null order by test no limit 6	won, won, lost, lost, lost, lost
[ header: season \| premiere date \| the winner \| runner-up \| finalists \| contestants in order of elimination \| number of contestants \| number of concerts row 1 : af1 \| june 21, 2004 \| vit (v2) \| jeen (v1) \| aof (v6), z- \| joomjim (v5), por \| 12 \| 9 row 2 : af2 \| july 18, 2005 \| aof (v4) \| pat (v6) \| boy (v8), pas (v9), \| joe (v12), loog \| 12 \| 12 row 3 : af4 \| june 18, 2007 \| nat (v1) \| tol (v9) \| papang (v3), music (v8) \| cat (v11), tee ( \| 12 (20) \| 13 row 4 : af5 \| may 12, 2008 \| natthew (v13) \| ron (v12) \| pump (v8), good (v10), \| green (v16), micky (v6) \| 12 (16) \| 12 row 5 : af6 \| june 28, 2009 \| zani (v6) \| ann (v10) \| tee (v5), & \| koonjae-sal ( \| 12 \| 12 row 6 : af7 \| june 27, 2010 \| por (v12) \| ton (v13) \| boss (v10), new (v4), \| pum (v7), ben (v \| 12 (100) \| 12 row 7 : af9 \| june 3, 2012 \| ice (v8) \| zo (v1) \| bright(v5), nest(v7) \| k (v6), sunny (v11 \| 12 (24) \| 15 row 8 : af10 \| june 23, 2013 \| tungbeer (v20) \| tayme (v6) \| tuey (v21), beam \| tung (v13), taeng \| 24 \| 12 ] Execute this SQL based on the above table: select number of concerts order by finalists desc limit 1	12.0
[ header: station \| type \| latitude \| longitude \| el. (m) \| opened \| closed \| coordinates row 1 : calama, chile \| solar \| 22o28's \| 68o56'w \| 2250 \| 1918 \| 1920 \| 22°28′s 68°56′ row 2 : mount montezuma, chile \| solar \| 22o40's \| 68o56'w \| 2711 \| 1920 \| None \| 22°40′s 68°56′ row 3 : mount harquahala, arizon \| solar \| 33o48'n \| 113o20'w \| 1721 \| 1920 \| 1925 \| 33°48′n 113°20′ row 4 : table mountain, california \| solar \| 34o22'n \| 117o41'w \| 2286 \| 1925 \| 1962 \| 34°22′n 117°41′ row 5 : mount brukkaros, namibi \| solar \| 25o52's \| 17o48'e \| 1586 \| 1926 \| 1931 \| 25°52′s 17°48′e row 6 : mount saint catherine, egy \| solar \| 28o31'n \| 33o56'e \| 2591 \| 1934 \| 1937 \| 28°31′n 33°56′e row 7 : burro mountain, new mexico \| solar \| 32o40'n \| 108o33'w \| 2440 \| 1938 \| 1946 \| 32°40′n 108°33′ row 8 : organ pass, new mexico \| space track \| 32o25'n \| 253o27'e \| None \| None \| None \| 32°25′n 106°33′ row 9 : olifantsfontein, south africa \| space track \| 25o58's \| 28o15'e \| None \| None \| None \| 25°58′s 28°15′e row 10 : woomera, australia \| space track \| 31o06's \| 136o46'e \| None \| None \| None \| 31°06′s 136°46′ row 11 : curacao, netherlands west in \| space track \| 12o05'n \| 291o10'e \| None \| None \| None \| 12°05′n 68°50′ row 12 : jupiter, florida \| space track \| 27o01'n \| 279o53'e \| None \| None \| None \| 27°01′n 80°07′w row 13 : villa dolores, argentina \| space track \| 31o57'n \| 294o54'e \| None \| None \| None \| 31°57′n 65°06′e row 14 : mitaka, japan \| space track \| None \| None \| None \| None \| None \| None row 15 : nani tal, india \| space track \| None \| None \| None \| None \| None \| None ] Execute this SQL based on the above table: select count ( * ) where station = 'jupiter, florida'	1
[ header: year \| name \| birth date \| winner \| awarding age \| row 1 : 1998 \| nick cheung \| 1967-12-02 \| winner \| 30 years, 352 days \| None row 2 : 1998 \| chin kar lok \| 1965-08-06 \| winner \| 33 years, 105 days \| None row 3 : 2002 \| moses chan \| 1971-04-16 \| winner \| 31 years, 217 days \| None row 4 : 2003 \| raymond lam \| 1979-12-08 \| winner \| 23 years, 346 days \| youngest winner row 5 : 2004 \| ron ng \| 1979-09-02 \| winner \| 25 years, 78 days \| None row 6 : 2005 \| bosco wong \| 1980-12-13 \| winner \| 24 years, 341 days \| None row 7 : 2006 \| kenneth ma \| 1974-02-13 \| winner \| 32 years, 270 days \| None row 8 : 2007 \| amigo choi \| 1979-05-08 \| winner \| 28 years, 193 days \| None row 9 : 2008 \| wong cho lam \| 1980-01-09 \| winner \| 28 years, 311 days \| None row 10 : 2009 \| ngo ka-nin \| 1976-09-26 \| winner \| 33 years, 69 days \| None row 11 : 2010 \| raymond wong \| 1976-08-25 \| winner \| 34 years, 102 days \| oldest winner row 12 : 2011 \| jin au-yeung \| 1982-06-04 \| winner \| 29 years, 184 days \| None row 13 : 2012 \| oscar leung \| 1979-03-26 \| winner \| 33 years, 266 days \| None ] Execute this SQL based on the above table: select count ( * ) where awarding age < '32 years, 270 days'	13
[ header: party/electoral alliance \| seats \| change \| votes \| % row 1 : radical civic union (ucr) \| 98 \| 6 \| 618411 \| 42.70% row 2 : independent socialist \| 15 \| 9 \| 110792 \| 7.70% row 3 : conservative \| 12 \| -2 \| 153826 \| 10.60% row 4 : democratic (cordoba province) \| 7 \| 1 \| None \| None row 5 : unified ucr (santa \| 4 \| -7 \| 53221 \| 3.70% row 6 : liberal (tucuman province) \| 4 \| -2 \| 39543 \| 2.70% row 7 : democratic progressive \| 3 \| 3 \| 136121 \| 9.40% row 8 : antipersonalist ucr \| 3 \| -2 \| 47891 \| 3.30% row 9 : autonomist party of corrientes \| 2 \| -3 \| 17152 \| 1.20% row 10 : lencinist ucr ( \| 1 \| None \| 19375 \| 1.30% row 11 : socialist \| 1 \| -3 \| 123734 \| 8.50% row 12 : others \| 4 \| None \| 127601 \| 8.60% row 13 : invalid votes \| 4 \| None \| 39868 \| 2.70% row 14 : total \| 158 \| None \| 1487535 \| 100.00% ] Execute this SQL based on the above table: select count ( distinct party/electoral alliance ) where % = 644	0
[ header: date \| winner \| yacht \| loser \| yacht \| score \| delta row 1 : september 14, 1983 \| liberty \| us-40 \| australia ii \| ka-6 \| 1-0 \| 1:10 row 2 : september 15, 1983 \| liberty \| us-40 \| australia ii \| ka-6 \| 2-0 \| 1:33 row 3 : september 18, 1983 \| australia ii \| ka-6 \| liberty \| us-40 \| 1-2 \| 3:14 row 4 : september 20, 1983 \| liberty \| us-40 \| australia ii \| ka-6 \| 3-1 \| 0:43 row 5 : september 21, 1983 \| australia ii \| ka-6 \| liberty \| us-40 \| 2-3 \| 1:47 row 6 : september 22, 1983 \| australia ii \| ka-6 \| liberty \| us-40 \| 3-3 \| 3:25 row 7 : september 26, 1983 \| australia ii \| ka-6 \| liberty \| us-40 \| 4-3 \| 0:41 ] Execute this SQL based on the above table: select delta group by delta order by count ( score ) desc limit 1	1
[ header: name \| age \| hometown \| occupation \| culinary p.o.v. \| eliminated row 1 : damaris phillips \| 31 \| louisville, ky \| culinary teacher \| "modern southern food" \| winner row 2 : rodney henry \| 47 \| baltimore, md \| pie shop owner \| "pie style" \| second place row 3 : russell jackson \| 49 \| san francisco, ca \| underground chef \| "seven culinary sins" \| third place row 4 : stacey poon-kinney \| 34 \| san diego, ca \| restaurant owner \| "vintage with a modern twist" \| week 10 row 5 : nikki dinki \| 29 \| new york, ny \| food blogger/online host \| "semi-vegetarian" \| week 9 row 6 : chad rosenthal \| 37 \| ambler, pa \| restaurant owner \| "jewish bbq guy" \| week 7 row 7 : chris hodgson \| 26 \| cleveland, oh \| chef/restaurateur \| "compassion for food" \| week 6 row 8 : viet pham \| 33 \| salt lake city, ut \| chef/restaurant owner \| "the american dream" \| week 5 row 9 : connie "lovely" jackson \| 27 \| los angeles, ca \| caterer \| "party on a plate" \| week 4 & week 8(winner of row 10 : danushka lysek \| 37 \| new york, ny \| private chef/model \| "your private chef" \| week 3 row 11 : andres guillama \| 26 \| waynesville, nc \| childhood obesity prevention coach \| "teaching men to cook" \| week 2 row 12 : daniela perez-reyes \| 28 \| haleiwa, hi \| bartender/caterer \| "peruvian princess" \| week 1 ] Execute this SQL based on the above table: select count ( occupation ) where occupation != 'food blogger/online host' and culinary p.o.v. not null	11
[ header: trial number \| date \| name of trial \| celebrity/ies taking part \| winner/number of stars \| notes row 1 : 1 \| 13 november 2006 \| mineshaft misery \| jan \| None \| none row 2 : 2 \| 14 november 2006 \| flash flood \| david \| None \| none row 3 : 3 \| 15 november 2006 \| jungle boogie \| scott \| None \| None row 4 : 4 \| 16 november 2006 \| treetop terror \| jan scott \| None \| none row 5 : 5 (live) \| 17 november 2006 \| jungle spa \| dean \| None \| None row 6 : 6 \| 18 november 2006 \| operation \| phina jason \| None \| None row 7 : 7 \| 19 november 2006 \| snake bite \| jan \| None \| None row 8 : 8 \| 20 november 2006 \| bull in a china shop \| jan \| None \| none row 9 : 9 \| 21 november 2006 \| catch a falling star \| jan scott \| jan \| None row 10 : 10 \| 22 november 2006 \| bushtucker duel \| jan scott \| scott \| none row 11 : 11 \| 23 november 2006 \| what lurks beneath \| phina scott \| phina \| None row 12 : 12 \| 24 november 2006 \| thunderball \| jason malandra matt \| None \| none row 13 : 13 \| 25 november 2006 \| jungle falls \| dean lauren phina \| None \| none row 14 : 14 \| 26 november 2006 \| tomb of torment \| myleene \| None \| none row 15 : 15 \| 27 november 2006 \| shooting gallery \| david jason matt \| None \| none row 16 : 16 \| 28 november 2006 \| skyscrape \| malandra myleene \| None \| none row 17 : 17 \| 29 november 2006 \| temple of doom \| dean \| None \| none row 18 : 18 \| 30 november 2006 \| celebrity cyclone \| jason myleene matt \| None \| none row 19 : 19 \| 1 december 2006 \| bushtucker bonanza \| matt \| None \| none row 20 : 20 \| 1 december 2006 \| fill your face \| jason \| None \| none row 21 : 21 \| 1 december 2006 \| scareoke \| myleene \| None \| none ] Execute this SQL based on the above table: select winner/number of stars where id = ( select id where winner/number of stars = 'scott' ) - 1	jan
[ header: rank \| athlete \| country \| time \| notes row 1 : None \| nataliya petrusyova \| soviet union \| 1:24.10 \| or row 2 : None \| leah poulos \| united states \| 1:25.41 \| None row 3 : None \| sylvia albrecht \| east germany \| 1:26.46 \| None row 4 : 4 \| karin enke \| east germany \| 1:26.66 \| None row 5 : 5 \| beth heiden \| united states \| 1:27.01 \| None row 6 : 6 \| annie borckink \| netherlands \| 1:27.24 \| None row 7 : 7 \| sylvia burka \| canada \| 1:27.50 \| None row 8 : 8 \| ann-sofie jarnstrom \| sweden \| 1:28.10 \| None row 9 : 9 \| sylvia filipsson \| sweden \| 1:28.18 \| None row 10 : 10 \| annette carlen-karls \| sweden \| 1:28.25 \| None row 11 : 11 \| valentina lalenkova \| soviet union \| 1:28.27 \| None row 12 : 12 \| bjørg eva jen \| norway \| 1:28.55 \| None row 13 : 13 \| sijtje van der lende \| netherlands \| 1:28.72 \| None row 14 : 14 \| sarah docter \| united states \| 1:28.80 \| None row 15 : 14 \| haitske valentijn-pij \| netherlands \| 1:28.80 \| None row 16 : 16 \| erwina rys-feren \| poland \| 1:28.82 \| None row 17 : 17 \| miyoshi kato \| japan \| 1:28.97 \| None row 18 : 18 \| christa rothenburger \| east germany \| 1:29.69 \| None row 19 : 19 \| brenda webster \| canada \| 1:29.84 \| None row 20 : 20 \| irina kuleshova \| soviet union \| 1:29.94 \| None row 21 : 21 \| monika pflug \| west germany \| 1:30.13 \| None row 22 : 22 \| makiko nagaya \| japan \| 1:30.27 \| None row 23 : 23 \| sigrid smuda \| west germany \| 1:30.29 \| None row 24 : 24 \| kathy vogt \| canada \| 1:30.33 \| None row 25 : 25 \| yuko yaegashi- \| japan \| 1:30.72 \| None row 26 : 26 \| lee nam-sun \| south korea \| 1:31.30 \| None row 27 : 27 \| cao guifeng \| china \| 1:31.74 \| None row 28 : 28 \| anneli repola \| finland \| 1:31.76 \| None row 29 : 29 \| silvia brunner \| switzerland \| 1:31.79 \| None row 30 : 30 \| lee seong-ae \| south korea \| 1:32.04 \| None row 31 : 31 \| zhang li \| china \| 1:32.20 \| None row 32 : 32 \| shen zhenshu \| china \| 1:32.49 \| None row 33 : 33 \| brigitte flierl \| west germany \| 1:33.61 \| None row 34 : 34 \| kim yeong-hui \| south korea \| 1:34.17 \| None row 35 : 35 \| kim ferran \| great britain \| 1:34.19 \| None row 36 : 36 \| marzia peretti \| italy \| 1:35.66 \| None row 37 : 37 \| mandy horsepool \| great britain \| 1:36.31 \| None ] Execute this SQL based on the above table: select athlete order by id desc limit 1	mandy horsepool
[ header: year \| team \| games \| punt return attempts \| punt return yards \| punts returned for touchdown \| punts fair caught \| longest punt return \| kickoff attempts \| kickoff return yards \| kickoffs returned for touchdown \| kickoffs fair caught \| longest kickoff return row 1 : 2008 \| den \| 15 \| 14 \| 140 \| 0 \| 10 \| 36 \| 23 \| 600 \| 0 \| 0 \| 95 row 2 : 2009 \| den \| 14 \| 30 \| 335 \| 1 \| 13 \| 71 \| 26 \| 621 \| 1 \| 0 \| 93 row 3 : 2010 \| den \| 16 \| 25 \| 298 \| 0 \| 12 \| 33 \| 5 \| 107 \| 0 \| 0 \| 33 row 4 : 2011 \| den \| 12 \| 12 \| 194 \| 1 \| 9 \| 85 \| 3 \| 47 \| 0 \| 0 \| 20 row 5 : 2012 \| sd \| 10 \| 12 \| 64 \| 0 \| 2 \| 14 \| 0 \| 0 \| 0 \| 0 \| 0 row 6 : 2013 \| sd \| 15 \| 7 \| 41 \| 0 \| 7 \| 12 \| 0 \| 0 \| 0 \| 0 \| 0 row 7 : total \| total \| 82 \| 100 \| 1072 \| 2 \| 53 \| 85 \| 57 \| 1375 \| 1 \| 0 \| 95 ] Execute this SQL based on the above table: select count ( team ) where team = '14'	0
[ header: seed \| school \| conf (overall) \| tiebreaker row 1 : #1 \| georgetown \| 14-4 (24-5) \| 2-1 vs. louisville/ row 2 : #2 \| louisville \| 14-4 (26-5) \| 1-1 vs. georgetown row 3 : #3 \| marquette \| 14-4 (23-7) \| 1-2 vs. georgetown row 4 : #4 \| pittsburgh \| 12-6 (24-7) \| None row 5 : #5 \| syracuse \| 11-7 (23-8) \| 1-0 vs. notre dame row 6 : #6 \| notre dame \| 11-7 (23-8) \| 0-1 vs. sy row 7 : #7 \| villanova \| 10-8 (19-12) \| None row 8 : #8 \| providence \| 9-9 (17-13) \| 1-0 vs. cincinnati row 9 : #9 \| cincinnati \| 9-9 (21-10) \| 0-1 vs. providence row 10 : #10 \| st. john's \| 8-10 (16-14) \| None row 11 : #11 \| rutgers \| 5-13 (14-15) \| None row 12 : #12 \| seton hall \| 3-15 (14-17) \| 1-0 vs. south florida row 13 : #13 \| south florida \| 3-15 (12-18) \| 0-1 vs. seton hall row 14 : #14 \| depaul \| 2-16 (11-20) \| None ] Execute this SQL based on the above table: select conf (overall) where conf (overall) < 1384	12-6 (24-7), 11-7 (23-8), 11-7 (23-8), 10-8 (19-12)
[ header: year \| personnel \| album \| label \| peak positions nor row 1 : 2001 \| solveig slettahjell \| slow motion orchestra \| curling legs \| None row 2 : 2004 \| solveig slettahjell \| silver \| curling legs \| 23 row 3 : 2005 \| solveig slettahjell \| pixiedust \| curling legs \| 25 row 4 : 2006 \| solveig slettahjell \| good rain \| curling legs (, act) \| 28 row 5 : 2007 \| solveig slettahjell \| domestic songs \| curling legs (, act) \| 30 row 6 : 2008 \| solveig slettahjell \| natt i betlehem \| kirkelig kulturverksted \| 5 row 7 : 2009 \| solveig slettahjell \| tarpan seasons \| universal \| 5 row 8 : 2011 \| solveig slettahjell \| antologie \| universal \| 6 row 9 : 2013 \| solveig slettahjell \| arven \| universal \| 5 ] Execute this SQL based on the above table: select album where year < ( select year where album = 'antologie' ) order by year desc limit 1	tarpan seasons
[ header: season \| greek league \| greek cup \| europe \| coach \| roster row 1 : 1928-29 \| champion \| None \| None \| nikos nisiot \| christos svolopoulos row 2 : 1938-39 \| champion \| None \| None \| None \| None row 3 : 1949-50 \| finalist \| None \| None \| None \| None row 4 : 1950-51 \| finalist \| None \| None \| None \| None row 5 : 1952-53 \| champion \| None \| None \| None \| themis cholevas, panagiot row 6 : 1953-54 \| finalist \| None \| None \| None \| None row 7 : 1956-57 \| champion \| None \| None \| None \| antonis christeas, row 8 : 1969-70 \| 3rd place \| _ \| _ \| None \| vasilis goumas row 9 : 1974-75 \| _ \| None \| korac cup last 32 \| None \| vasilis goumas row 10 : 1977-78 \| 3rd place \| last 16 \| korac cup last 16 \| None \| None row 11 : 1978-79 \| _ \| last 8 \| korac cup last 32 \| None \| None row 12 : 1980-81 \| _ \| last 16 \| korac cup last 32 \| None \| None row 13 : 1986-87 \| _ \| finalist \| cup winners' cup last 32 \| nikos pavlou \| giannopoulos, stamati row 14 : 2004-05 \| 12th place \| last 16 \| None \| manos manouselis, \| gary trent, miroslav beric row 15 : 2008-09 \| 6th place \| last 8 \| eurocup last 16 \| elias zouros \| anthony grundy, jurica ] Execute this SQL based on the above table: select count ( distinct greek cup )	4
[ header: year \| site \| winning team \| losing team \| series row 1 : 1904 \| manhattan \| kansas 41 \| kansas state 4 \| ku 3-0 row 2 : 1905 \| lawrence \| kansas 28 \| kansas state 0 \| ku 4-0 row 3 : 1906 \| manhattan \| kansas state 6 \| kansas 4 \| ku 4-1 row 4 : 1912 \| lawrence \| kansas 19 \| kansas state 6 \| ku 9-1 row 5 : 1914 \| lawrence \| kansas 27 \| kansas state 0 \| ku 11-1 row 6 : 1922 \| manhattan \| kansas 7 \| kansas state 7 \| ku 17-1-2 row 7 : 1923 \| lawrence \| kansas 0 \| kansas state 0 \| ku 17-1-3 row 8 : 1926 \| manhattan \| kansas state 27 \| kansas 0 \| ku 17-4-3 row 9 : 1927 \| lawrence \| kansas state 13 \| kansas 2 \| ku 17-5-3 row 10 : 1929 \| lawrence \| kansas state 6 \| kansas 0 \| ku 18-6-3 row 11 : 1933 \| lawrence \| kansas state 6 \| kansas 0 \| ku 20-8-3 row 12 : 1934 \| manhattan \| kansas state 13 \| kansas 0 \| ku 20-9-3 row 13 : 1935 \| lawrence \| kansas 9 \| kansas state 2 \| ku 21-9-3 row 14 : 1936 \| manhattan \| kansas state 26 \| kansas 6 \| ku 21-10-3 row 15 : 1937 \| lawrence \| kansas state 7 \| kansas 0 \| ku 21-11-3 row 16 : 1938 \| manhattan \| kansas 27 \| kansas state 7 \| ku 22-11-3 row 17 : 1940 \| manhattan \| kansas state 20 \| kansas 0 \| ku 22-13-3 row 18 : 1943 \| lawrence \| kansas 25 \| kansas state 2 \| ku 25-13-3 row 19 : 1944 \| manhattan \| kansas state 24 \| kansas 18 \| ku 25-14-3 row 20 : 1945 \| lawrence \| kansas 27 \| kansas state 0 \| ku 26-14-3 row 21 : 1951 \| lawrence \| kansas 33 \| kansas state 14 \| ku 32-14-3 row 22 : 1952 \| manhattan \| (#9) kansas 26 \| kansas state 6 \| ku 33-14-3 row 23 : 1953 \| lawrence \| kansas state 7 \| kansas 0 \| ku 33-15-3 row 24 : 1954 \| manhattan \| kansas state 28 \| kansas 6 \| ku 33-16-3 row 25 : 1958 \| manhattan \| kansas 21 \| kansas state 12 \| ku 36-17-3 row 26 : 1960 \| manhattan \| kansas 41 \| kansas state 0 \| ku 38-17-3 row 27 : 1963 \| lawrence \| kansas 34 \| kansas state 0 \| ku 41-17-3 row 28 : 1966 \| manhattan \| kansas 3 \| kansas state 3 \| ku 43-17-4 row 29 : 1967 \| lawrence \| kansas 17 \| kansas state 16 \| ku 44-17-4 ] Execute this SQL based on the above table: select site order by year desc limit 1	lawrence
[ header: location \| building \| year \| km \| monument row 1 : bischofsheim \| station building \| 1958 \| 8.25 \| row 2 : russelsheim \| linesmen house \| 1863 \| 12.8 \| row 3 : raunheim \| station building \| 1863 \| 15.87 \| row 4 : raunheim \| linesmen house \| 1863 \| 17.39 \| row 5 : kelsterbach \| rail bridge \| 1863 \| 21.75 \| row 6 : kelsterbach \| linesmen house \| 1863 \| 23.6 \| row 7 : kelsterbach \| station building \| 1863 \| 23.81 \| row 8 : stadion \| station building \| 1879 \| 31.37 \| row 9 : niederrad \| station building \| 1882 \| 33.19 \| row 10 : sachsenhausen \| rail bridge \| 1864 \| 34.47 \| ] Execute this SQL based on the above table: select km where building = 'linesmen house'	12.8, 17.39, 23.6
[ 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 title where year < ( select year where title = 'a price above rubies' ) order by year desc limit 1	jude
[ header: # \| date \| opponent \| score \| win \| loss \| save \| attendance \| record row 1 : 85 \| july 1 \| @ marlins \| 9-6 \| balester (1-0) \| hendrickson (7-7) \| None \| 12166 \| 34-51 row 2 : 86 \| july 2 \| @ marlins \| 4-2 \| nolasco (9-4) \| manning (0-2) \| None \| 23624 \| 34-52 row 3 : 87 \| july 3 \| @ reds \| 5-3 \| cueto (7-8) \| colome (2-2) \| cordero (16) \| 23259 \| 34-53 row 4 : 88 \| july 4 \| @ reds \| 3-0 \| arroyo (6-7) \| bergmann (1-6) \| cordero (17) \| 22626 \| 34-54 row 5 : 89 \| july 5 \| @ reds \| 3-2 \| cordero (4-1) \| hanrahan (5-3) \| None \| 37121 \| 34-55 row 6 : 90 \| july 6 \| @ reds \| 6-5 \| volquez (11-3) \| balester (1-1) \| cordero (18) \| 28814 \| 34-56 row 7 : 91 \| july 8 \| d-backs \| 2-0 \| webb (13-4) \| perez (2-6) \| lyon (19) \| 26820 \| 34-57 row 8 : 92 \| july 9 \| d-backs \| 5-0 \| lannan (5-9) \| owings (6-8) \| None \| 25862 \| 35-57 row 9 : 93 \| july 10 \| d-backs \| 7-5 (11) \| qualls (2-6) \| ayala (1-5) \| None \| 27330 \| 35-58 row 10 : 96 \| july 13 \| astros \| 5-0 \| backe (6-9) \| perez (2-7) \| None \| 31463 \| 36-60 row 11 : 97 \| july 18 \| @ braves \| 7-6 \| hudson (10-7) \| redding (7-4) \| gonzalez (4) \| 39861 \| 36-61 row 12 : 98 \| july 19 \| @ braves \| 8-2 \| lannan (6-9) \| jurrjens (9-5) \| None \| 43285 \| 37-61 row 13 : 99 \| july 20 \| @ braves \| 15-6 \| perez (3-7) \| reyes (3-9) \| None \| 29320 \| 38-61 row 14 : 100 \| july 22 \| @ giants \| 6-3 \| zito (5-12) \| bergmann (1-7) \| wilson (26) \| 34813 \| 38-62 row 15 : 101 \| july 23 \| @ giants \| 6-4 \| espineli (1-0) \| ayala (1-6) \| wilson (27) \| 35539 \| 38-63 row 16 : 102 \| july 24 \| @ giants \| 1-0 \| cain (6-8) \| redding (7-5) \| None \| 36963 \| 38-64 row 17 : 103 \| july 25 \| @ dodgers \| 3-2 \| billingsley (10-9) \| lannan (6-10) \| broxton (3) \| 47313 \| 38-65 row 18 : 104 \| july 26 \| @ dodgers \| 6-0 \| lowe (8-8) \| perez (3-8) \| None \| 42122 \| 38-66 row 19 : 105 \| july 27 \| @ dodgers \| 2-0 \| kershaw (1-3) \| bergmann (1-8) \| broxton (4) \| 38660 \| 38-67 row 20 : 106 \| july 29 \| phillies \| 2-1 \| myers (4-9) \| balester (1-3) \| lidge (25) \| 34039 \| 38-68 row 21 : 107 \| july 30 \| phillies \| 8-5 \| moyer (10-6) \| redding (7-6) \| lidge (26) \| 31798 \| 38-69 ] Execute this SQL based on the above table: select count ( distinct opponent ) where loss != 'perez (2-7)'	7
[ header: name \| audition taken in \| gang \| notes row 1 : nauman sait \| bangalore \| om blues \| winner of season 6 : hell down under. row 2 : longkiri timung (kiri) \| kolkata \| om blues \| runner-up. won a hero row 3 : gurmeet kaur johal \| bangalore \| om blues \| won a hero honda kariz row 4 : natasha sinha \| chandigarh \| brats \| voted out in the 11th episode. brought row 5 : puneet malhotra (su \| mumbai \| None \| won a hero honda kariz row 6 : paulami de \| kolkata \| om blues \| voted out in the 12th episode row 7 : samrat kaushal \| ahmedabad \| om blues \| won a hero honda kariz row 8 : tamanna sharma ( \| chandigarh \| om blues \| got a hero honda kariz row 9 : sandeep singh (sandy \| new delhi \| brats \| voted out in the 7th episode row 10 : bobby chopra \| new delhi \| brats \| evicted in the 7th episode by row 11 : pradeep singh \| new delhi \| brats \| evicted in the 7th episode by row 12 : suzanna mukherjee ( \| mumbai \| brats \| voted out in the 6th episode row 13 : roop bhinder \| new delhi \| brats \| voted out in the 5th episode row 14 : devarshi patel (dev) \| ahmedabad \| om blues \| eliminated himself in the 5th episode by voluntarily row 15 : varisha hawelia \| kolkata \| om blues \| voted out in the 2nd episode row 16 : sonia chauhan \| chandigarh \| None \| evicted in the 1st episode row 17 : bhanu pratap singh ran \| ahmedabad \| None \| evicted in the 1st episode row 18 : neha kapoor \| new delhi \| None \| evicted in the 1st episode row 19 : ankur khanduja \| chandigarh \| None \| evicted in the 1st episode ] Execute this SQL based on the above table: select audition taken in where id = ( select id where audition taken in = 'chandigarh' ) + 1	mumbai
[ header: central division v t e \| w \| l \| pct \| gb \| home \| road \| div row 1 : y-atlanta hawks \| 50 \| 32 \| 0.61 \| None \| 32-9 \| 18-23 \| 21-9 row 2 : x-houston rockets \| 41 \| 41 \| 0.5 \| 9 \| 29-12 \| 12-29 \| 20-10 row 3 : x-san antonio \| 41 \| 41 \| 0.5 \| 9 \| 27-14 \| 14-27 \| 14-16 row 4 : cleveland cavaliers \| 37 \| 45 \| 0.451 \| 13 \| 28-13 \| 9-32 \| 16-14 row 5 : indiana pacers \| 37 \| 45 \| 0.451 \| 13 \| 26-15 \| 11-30 \| 15-15 row 6 : detroit pistons \| 16 \| 66 \| 0.195 \| 34 \| 13-28 \| 3-38 \| 4-26 ] Execute this SQL based on the above table: select w order by l desc limit 1	16
[ header: season \| division \| w-l \| finish \| home \| road \| gf \| ga \| coach \| playoffs \| avg attendance row 1 : 2006 \| western \| 1-15 \| 6th \| 0-8 \| 1-7 \| 150 \| 202 \| paul day \| missed playoffs \| 10367 row 2 : 2007 \| western \| 6-10 \| 5th \| 4-4 \| 2-6 \| 160 \| 189 \| paul day \| missed playoffs \| 10815 row 3 : 2008 \| western \| 4-12 \| 5th \| 3-5 \| 1-7 \| 141 \| 197 \| paul day (0-5) bob ham \| missed playoffs \| 8820 row 4 : 2009 \| western \| 5-11 \| 6th \| 4-4 \| 1-7 \| 159 \| 200 \| bob hamley \| missed playoffs \| 8347 row 5 : 2010 \| western \| 10-6 \| 3rd \| 5-3 \| 5-3 \| 186 \| 201 \| derek keenan \| lost in western final \| 7558 row 6 : 2011 \| western \| 5-11 \| 5th \| 4-4 \| 1-7 \| 175 \| 204 \| derek keenan \| missed playoffs \| 7151 row 7 : 2012 \| western \| 6-10 \| 4th \| 4-4 \| 2-6 \| 167 \| 175 \| derek keenan \| lost in final \| 7050 row 8 : 2013 \| western \| 9-7 \| 3rd \| 2-6 \| 7-1 \| 203 \| 170 \| derek keenan \| lost in western semi-final \| 6714 row 9 : total \| 8 seasons \| 46-82 \| None \| 26-38 \| 20-44 \| 1341 \| 1538 \| None \| None \| 8353 row 10 : playoff totals \| None \| 3-3 \| None \| 0-0 \| 3-3 \| 73 \| 54 \| None \| None \| None ] Execute this SQL based on the above table: select home where season < ( select season where home = '4-4' ) order by season desc limit 1	0-8
[ header: date \| result \| opponent \| event \| location \| method \| round \| time row 1 : 2013-12-14 \| loss \| mohamed diaby \| victory, semi finals \| paris, france \| decision \| 3 \| 3:00 row 2 : 2013-03-09 \| None \| juanma chacon \| enfusion live: barcelona \| barcelona, spain \| None \| None \| None row 3 : 2012-05-27 \| loss \| murthel groenhart \| k-1 world max 2012 world championship tournament final \| madrid, spain \| ko (punches) \| 3 \| 3:00 row 4 : 2012-02-11 \| win \| francesco tadiello \| sporthal de zandbergen \| sint-job-in-'t- \| ko \| 1 \| None row 5 : 2012-01-28 \| win \| chris ngimbi \| it's showtime 2012 in leeu \| leeuwarden, netherlands \| tko (cut) \| 2 \| 1:22 row 6 : 2011-09-24 \| loss \| andy souwer \| bfn group & music hall presents \| brussels, belgium \| extra round decision (split) \| 4 \| 3:00 row 7 : 2011-04-09 \| win \| lahcen ait ouss \| le grande ko xi \| liege, belgium \| ko \| 1 \| None row 8 : 2011-02-12 \| win \| henri van opstal \| war of the ring \| amsterdam, netherlands \| decision (unanimous) \| 3 \| 3:00 row 9 : 2010-09-10 \| win \| edson fortes \| ring sensation gala \| utrecht, netherlands \| decision \| 3 \| 3:00 row 10 : 2010-03-21 \| loss \| mohamed khamal \| k-1 world max 2010 west europe tournament \| utrecht, netherlands \| ko (punch) \| 2 \| None row 11 : 2009-11-21 \| win \| seo doo won \| it's showtime 2009 barneveld \| barneveld, netherlands \| tko (referee stop \| 1 \| None row 12 : 2009-09-24 \| win \| chris ngimbi \| it's showtime 2009 lommel \| lommel, belgium \| extra round decision \| 4 \| 4:00 row 13 : 2009-04-11 \| win \| farid riffi \| almelo fight for delight \| almelo, netherlands \| tko \| None \| None row 14 : 2009-03-14 \| win \| viktor sarezki \| war of the ring \| belgium \| ko (punch to the body) \| 1 \| None row 15 : 2009-02-21 \| win \| pedro sedarous \| turnhout gala \| turnhout, belgium \| decision \| 5 \| 3:00 row 16 : 2009-01-31 \| win \| dahou naim \| tielrode gala \| tielrode, belgium \| 2nd extra round decision \| 5 \| 3:00 row 17 : 2008-09-20 \| win \| abdallah mabel \| s-cup europe 2008, reserve bout \| gorinchem, netherlands \| decision \| 3 \| 3:00 row 18 : 2008-09-14 \| win \| jordy sloof \| the outland rumble \| rotterdam, netherlands \| ko (right cross) \| 1 \| None row 19 : 2008-03-08 \| win \| naraim ruben \| lommel gala \| lommel, belgium \| tko (retirement) \| 3 \| None row 20 : 2008-02-23 \| win \| pierre petit \| st. job gala \| st. job, belgium \| ko (right punch) \| 2 \| None ] Execute this SQL based on the above table: select round where round = 3 order by round desc limit 1	3
[ header: sl no \| constituency name \| constituency number \| member of legislative assembly \| political party row 1 : 2 \| abhayapuri south \| 35 \| chandan kumar sarkar \| indian national congress row 2 : 4 \| amguri \| 103 \| anjan dutta \| indian national congress row 3 : 9 \| barhampur \| 87 \| prafulla kumar mahanta \| asom gana parishad row 4 : 15 \| bihali \| 77 \| pallab lochan das \| indian national congress row 5 : 16 \| bihpuria \| 109 \| bhupen kumar bor \| indian national congress row 6 : 17 \| bijni \| 33 \| kamalshing narzary \| bodoland peoples front row 7 : 21 \| bokajan \| 17 \| klengdoon engti \| indian national congress row 8 : 35 \| dhemaji \| 113 \| sumitra doley patir \| indian national congress row 9 : 49 \| gauripur \| 24 \| banendra kumar mushahary \| bodoland peoples front row 10 : 53 \| golakganj \| 25 \| abu taher bepari \| indian national congress row 11 : 56 \| hajo \| 55 \| dwipen pathak \| all india trinamool congress row 12 : 59 \| howraghat \| 18 \| khorsing engti \| indian national congress row 13 : 60 \| jagiroad \| 79 \| bibekananda dalai \| indian national congress row 14 : 62 \| jalukbari \| 51 \| himanta biswa sarma \| indian national congress row 15 : 63 \| jamunamukh \| 90 \| mohammed sirajuddin a \| all india united democratic front row 16 : 64 \| jania \| 44 \| rafiqul islam \| all india united democratic front row 17 : 65 \| jonai \| 114 \| pradan baruah \| indian national congress row 18 : 73 \| katlicherra \| 7 \| gautam roy \| indian national congress row 19 : 76 \| kokrajhar west \| 29 \| pradip kumar brahma \| bodoland peoples front row 20 : 83 \| majuli \| 99 \| sri rajib lochan \| indian national congress row 21 : 87 \| mazbat \| 70 \| rakheswar brahma \| bodoland peoples front row 22 : 95 \| nowgong \| 86 \| dr. durlav chandra \| indian national congress row 23 : 101 \| rangapara \| 74 \| bhimananda tanti \| indian national congress row 24 : 105 \| sadiya \| 126 \| bolin chetia \| indian national congress row 25 : 111 \| sidli \| 31 \| sri chandan brahm \| bodoland peoples front row 26 : 114 \| sonai \| 10 \| anamul haque \| indian national congress row 27 : 115 \| sonari \| 106 \| sarat borkotoky \| indian national congress row 28 : 116 \| sootea \| 75 \| padma hazarika \| asom gana parishad row 29 : 119 \| teok \| 102 \| membar gogoi \| indian national congress row 30 : 122 \| tingkhong \| 119 \| atuwa munda \| indian national congress row 31 : 123 \| tinsukia \| 122 \| rajendra prasad singh \| indian national congress ] Execute this SQL based on the above table: select political party where sl no = 62	indian national congress
[ header: name \| elected \| term began \| term ended row 1 : john t. jordan \| elected july 10, 1871 \| 1871 \| 1872 row 2 : john collins \| elected july 14, 1873 \| 1873 \| 1874 row 3 : henry yesler \| elected july 13, 1874 \| 1874 \| 1875 row 4 : gideon a. weed \| elected july 10, 1876 and ju \| 1876 \| 1878 row 5 : leonard purley smith \| elected july 12, 1880 and ju \| 1880 \| 1882 row 6 : henry g. struve \| elected july 10, 1882 and ju \| 1882 \| 1884 row 7 : john leary \| elected july 14, 1884 \| 1884 \| 1885 row 8 : henry yesler \| elected july 13, 1885 \| 1885 \| 1886 row 9 : dr. thomas t \| elected july 11, 1887 \| 1887 \| 1888 row 10 : harry white \| elected july 14, 1890 resigned \| 1890 \| 1891 row 11 : byron phelps \| elected march 12, 1894 \| 1894 \| 1896 row 12 : richard a. ballinger \| elected march 8, 1904 \| 1904 \| 1906 row 13 : john f. miller \| elected march 3, 1908 \| 1908 \| 1910 row 14 : george w. dilling \| appointed february 10, 1911[citation needed] \| 1912 \| None row 15 : george f. cotterill \| elected march 5, 1912 \| 1912 \| 1914 row 16 : ole hanson \| elected march 5, 1918 resigned august 28, 1919 \| 1918 \| 1919 row 17 : hugh m. caldwell \| elected march 2, 1920 \| 1920 \| 1922 row 18 : edwin j. brown \| elected may 2, 1922 and march 4, 1924 \| 1922 \| 1926 row 19 : frank e. edward \| elected march 6, 1928 and march 4, 1930 recalled \| 1928 \| 1931 row 20 : robert h. harl \| appointed july 14, 1931 \| 1931 \| 1932 row 21 : charles l. smith \| elected march 6, 1934 \| 1934 \| 1936 row 22 : john f. dore \| elected march 3, 1936 became gravely ill and \| 1936 \| 1938 row 23 : arthur b. langlie \| elected march 8, 1938 appointed to take office early, \| 1938 \| 1941 row 24 : john e. carroll \| appointed january 27, 1941 \| 1941 \| 1941 row 25 : william f. devin \| elected march 3, 1942, march 7, 1944, march \| 1942 \| 1952 row 26 : allan pomeroy \| elected march 4, 1952 \| 1952 \| 1956 row 27 : gordon s. clinton \| elected march 6, 1956 and march 8, 1960 \| 1956 \| 1964 row 28 : james d'orma bra \| elected march 10, 1964 resigned march 23, 1969 \| 1964 \| 1969 row 29 : floyd c. miller \| appointed march 23, 1969 \| 1969 \| 1969 row 30 : wesley c. uhlman \| elected november 4, 1969 and november \| december 1, 1969 \| january 1, 1978 row 31 : charles royer \| elected november 8, 1977, november \| january 1, 1978 \| january 1, 1990 ] Execute this SQL based on the above table: select elected order by id desc limit 1	elected november 8, 1977, november 3, 1981, and november 5, 1985
[ header: year \| film \| role \| language \| notes row 1 : 2007 \| chirutha \| sanjna \| telugu \| debut telugu film row 2 : 2009 \| kurradu \| hema \| telugu \| None row 3 : 2010 \| crook: it's good to be \| suhani \| hindi \| debut hindi film row 4 : 2012 \| teri meri kahaani \| meera \| hindi \| special appearance row 5 : 2012 \| kyaa super kool \| simran \| hindi \| None row 6 : 2013 \| jayantabhai ki \| simran \| hindi \| None row 7 : 2013 \| yamla pagla deewana \| suman \| hindi \| None row 8 : 2014 \| youngistaan \| anwita chauhan \| hindi \| None ] Execute this SQL based on the above table: select abs ( ( select year where role = 'simran' ) - ( select year where role = 'meera' ) )	0
[ header: pos \| no \| driver \| team \| laps \| time/retired \| grid \| points row 1 : 1 \| 6 \| michael andretti \| newman-haas racing \| 150 \| 1:33:39.268 \| 8 \| 20+1 row 2 : 2 \| 99 \| greg moore \| forsythe racing \| 150 \| 0.075 \| 1 \| 16+1 row 3 : 3 \| 1 \| alex zanardi \| chip ganassi racing \| 150 \| 0.918 \| 6 \| 14 row 4 : 4 \| 11 \| christian fittipaldi \| newman-haas racing \| 150 \| 3.359 \| 4 \| 12 row 5 : 5 \| 20 \| scott pruett \| patrick racing \| 150 \| 5.257 \| 12 \| 10 row 6 : 6 \| 40 \| adrian fernandez \| patrick racing \| 150 \| 5.926 \| 5 \| 8 row 7 : 7 \| 5 \| gil de ferran \| walker racing \| 150 \| 6.81 \| 11 \| 6 row 8 : 8 \| 8 \| bryan herta \| team rahal \| 150 \| 9.866 \| 16 \| 5 row 9 : 9 \| 27 \| dario franchitti \| team kool green \| 150 \| 10.275 \| 13 \| 4 row 10 : 10 \| 17 \| mauricio gugelmin \| pacwest racing group \| 150 \| 10.855 \| 10 \| 3 row 11 : 11 \| 33 \| patrick carpentier \| forsythe racing \| 150 \| 11.382 \| 9 \| 2 row 12 : 12 \| 18 \| mark blundell \| pacwest racing group \| 150 \| 29.029 \| 7 \| 1 row 13 : 13 \| 10 \| richie hearn \| della penna motorsports \| 149 \| +1 lap \| 15 \| None row 14 : 14 \| 9 \| jj lehto \| hogan racing \| 149 \| +1 lap \| 29 \| None row 15 : 15 \| 15 \| roberto moreno \| project indy \| 149 \| +1 lap \| 23 \| None row 16 : 16 \| 12 \| jimmy vasser \| chip ganassi racing \| 148 \| +2 laps \| 3 \| None row 17 : 17 \| 3 \| andre ribeiro \| marlboro team penske \| 148 \| +2 laps \| 2 \| None row 18 : 18 \| 36 \| alex barron \| all american racing \| 148 \| +2 laps \| 27 \| None row 19 : 19 \| 7 \| bobby rahal \| team rahal \| 147 \| +3 laps \| 17 \| None row 20 : 20 \| 98 \| p. j. jones \| all american racing \| 146 \| +4 laps \| 26 \| None row 21 : 21 \| 77 \| arnd meier \| davis racing \| 136 \| +14 laps \| 28 \| None row 22 : 22 \| 2 \| al unser, jr \| marlboro team penske \| 122 \| transmission \| 14 \| None row 23 : 23 \| 24 \| hiro matsushita \| arciero-wells racing \| 121 \| contact \| 24 \| None row 24 : 24 \| 16 \| helio castro-neves \| bettenhausen racing \| 97 \| contact \| 22 \| None row 25 : 25 \| 34 \| dennis vitolo \| payton/coyne racing \| 90 \| withdrew \| 25 \| None row 26 : 26 \| 25 \| max papis \| arciero-wells racing \| 83 \| wheel bearing \| 20 \| None row 27 : 27 \| 26 \| paul tracy \| team kool green \| 79 \| suspension \| 21 \| None row 28 : 28 \| 19 \| michel jourdain jr \| payton/coyne racing \| 78 \| handling \| 19 \| None row 29 : 29 \| 21 \| tony kanaan \| tasman motorsports group \| 32 \| contact \| 18 \| None ] Execute this SQL based on the above table: select time/retired where driver = 'jimmy vasser'	2.0
[ header: country \| alternante title \| tv network(s) \| series premiere \| series finale row 1 : mexico \| la fuerza del destino \| canal de las estrellas \| march 14, 2011 \| july 31, 2011 row 2 : colombia \| la fuerza del destino \| rcn tv \| may 2, 2011 \| september 20, 2011 row 3 : venezuela \| la fuerza del destino \| venevision \| may 5, 2011 \| september 20, 2011 row 4 : peru \| la fuerza del destino \| america tv \| may 23, 2011 \| november 11, 2011 row 5 : usa \| la fuerza del destino \| univision \| august 2, 2011 \| december 26, 2011 row 6 : albania \| forca e fatit \| vizion plus \| august 29, 2011 \| january 9, 2012 row 7 : poland \| miłosc i przeznac \| tv puls \| september 5, 2011 \| february 7, 2012 row 8 : serbia \| tajna ljuba \| rtv pink pink soap \| september 12, 2011 july 3, 2013 \| april 13, 2012 octo row 9 : spain \| la fuerza del destino \| la 1 \| september 21, 2011 \| january 25, 2012 row 10 : bosnia and herzegovin \| tajna ljuba \| pink bh \| november 22, 2011 \| may 16, 2012 row 11 : montenegro \| tajna ljuba \| pink m \| december 19, 2011 \| may 2, 2012 row 12 : lithuania \| likimo galia \| tv3 \| january 4, 2012 \| may 31, 2012 row 13 : hungary \| a vegzet hatal \| story4 \| january 9, 2012 \| june 1, 2012 row 14 : panama \| la fuerza del destino \| canal 13 \| january 16, 2012 \| may 7, 2012 row 15 : chile \| la fuerza del destino \| mega tv \| january 31, 2012 \| april 19, 2012 row 16 : romania \| forta destinului \| acasa tv \| march 26, 2012 \| may 28, 2012 row 17 : iran \| the power of destiny \| farsi1 \| march 10, 2012 \| july 28, 2012 row 18 : israel \| כוחו של גורל \| viva \| april 19, 2012 \| september 21, 2012 row 19 : croatia \| moc sudbine \| hrt \| june 5, 2012 \| october 9, 2012 row 20 : slovenia \| moc usode \| pop tv \| july 12, 2012 \| november 30, 2012 row 21 : macedonia \| силата на судб \| pink 15 \| 2011 \| 2011 row 22 : morocco \| al maktoub المكتوب \| 2m tv \| august 14, 2013 \| january 2, 2014 row 23 : cyprus \| η εκδικηση \| ant1 \| october 15, 2013 \| present row 24 : france \| la force du destin \| idf1 \| september 23, 2013 \| december 2, 2013 row 25 : cameroon \| la force du destin \| canal 2 international \| september 23, 2013 \| december 2, 2014 row 26 : romania \| forta destinului \| acasa tv \| february 7, 2014 \| present ] Execute this SQL based on the above table: select count ( distinct tv network(s) )	25
[ header: place \| player \| country \| score \| to par \| money ($) row 1 : 1 \| ben hogan \| united states \| 70-72-70-68=280 \| -8 \| 3,000 row 2 : 2 \| skee riegel \| united states \| 73-68-70-71=28 \| -6 \| 1,875 row 3 : t3 \| lloyd mangrum \| united states \| 69-74-70-73=2 \| -2 \| 1162 row 4 : t3 \| lew worsham \| united states \| 71-71-72-72=2 \| -2 \| 1162 row 5 : 5 \| dave douglas \| united states \| 74-69-72-73=2 \| e \| 750 row 6 : 6 \| lawson little \| united states \| 72-73-72-72=289 \| +1 \| 600 row 7 : 7 \| jim ferrier \| australia \| 74-70-74-72=290 \| +2 \| 525 row 8 : t8 \| johnny bulla \| united states \| 71-72-73-75=2 \| +3 \| 450 row 9 : t8 \| byron nelson \| united states \| 71-73-73-74=2 \| +3 \| 450 row 10 : t8 \| sam snead \| united states \| 69-74-68-80=2 \| +3 \| 450 ] Execute this SQL based on the above table: select place where player = 'lawson little'	6
[ header: interferometer and observing mode \| waveband \| limiting magnitude \| minimum baseline (m) (un-projected) \| maximum baseline (m) \| approx. no. visibility measurements per year (measurements per night x nights used per year) \| max ratio of no. phase / no. amplitude measurements (measure of imaging performance, 0 = none) \| accuracy of amplitude2 measurements \| accuracy of phase measurements (milli-radians) \| number of spectral channels (max in use simultaneously) \| comments row 1 : chara array \| v, r, i, \| 8 \| 34 \| 330 \| 7500 \| 0.7 \| 1% \| 10 \| 30000 \| yes... 30000 in the visible band; max row 2 : coast visible \| r, i \| 7 \| 4 \| 60 \| 2000 \| 0.5 \| 4% \| 10 \| 4 \| 300 cloudy nights per year, maximum baseline 100 row 3 : coast infrared \| j, h \| 3 \| 4 \| 60 \| 100 \| 0.5 \| 20% \| 10 \| 1 \| 300 cloudy nights per year, maximum baseline 100 row 4 : gi2t visible \| r, i \| 5 \| 10 \| 65 \| 2000 \| 0 \| 10% \| None \| 400 \| closed in 2006 row 5 : iota \| j, h, k \| 7 \| 6 \| 30 \| 10000 \| 0.3 \| 2% \| 10 \| 1 \| integrated optics beam combiner. closed row 6 : isi \| n \| 0 \| 10 \| 50 \| 5000 \| 0.3 \| 1% \| 1 \| 1000 \| maximum baseline 70-m row 7 : keck interferometer \| h, k, l, \| 10.3 \| 85 \| 85 \| 1000 \| 0 \| 4% \| 1 \| 330 \| nulling key science underway - no imaging on row 8 : keck aperture masking \| j, h, k, \| 2 \| 0.5 \| 9 \| 20000 \| 0.9 \| 20% \| 10 \| 1 \| closed row 9 : mira 1.2 \| r, i \| 3 \| 30 \| 30 \| 500 \| 0 \| 10% \| None \| 1 \| mid-infrared row 10 : navy precision optical interferometer(npo \| v, r, i \| 5 \| 5 \| 300 \| 50000 \| 0.7 \| 4% \| 10 \| 16 \| at nofs; siderstats operational row 11 : susi \| b, v, r, \| 5 \| 5 \| 640 \| 5000 \| 0 \| 4% \| 10 \| 21 \| no imaging on a single baseline instrument; maximum row 12 : vlti +uts am \| j, h, k simultaneously \| 7 \| 46 \| 130 \| 400 \| 0.3 \| 1% \| 10 \| 2000 \| used for a few weeks per year. longest row 13 : vlti +ats amber \| j, h, k simultaneously \| 4 \| 46 \| 130 \| 400 \| 0.3 \| 1% \| 10 \| 2000 \| longest overall vlti baseline 130m row 14 : vlti +uts \| k \| 11 \| 46 \| 130 \| 400 \| 0 \| >1% \| None \| 1 \| integrated optics beam combiner. longest overall row 15 : vlti +ats v \| k \| never checked \| 12 \| 200 \| 400 \| 0 \| >1% \| None \| 1 \| longest overall vlti baseline 130m row 16 : vlti +ats midi \| n \| 4.5 \| None \| 200 \| 200 \| 0 \| 10% \| None \| 250 \| vlti inldes world' ] Execute this SQL based on the above table: select maximum baseline (m) where accuracy of amplitude2 measurements = '10%'	65.0, 30.0, 200.0

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[ header: year \| miss northern ireland \| hometown \| placement at miss world \| notes row 1 : 2012 \| tiffany brien \| belfast \| top 30 \| top 10 of beach fashion and 1st row 2 : 2011 \| finola guinnane \| drumbo \| non-finalist \| top 20 of beach beauty and top 77 of row 3 : 2010 \| lori moore \| belfast \| top 25 \| winner of sports at miss world 2010 row 4 : 2009 \| cherie gardiner \| bangor \| non-finalist \| None row 5 : 2008 \| judith wilson \| enniskillen \| non-finalist \| top 19 of talent at miss world 2008 row 6 : 2007 \| melissa patton \| belfast \| non-finalist \| None row 7 : 2006 \| catherine jean milligan \| newtownards \| top 17 \| winner of miss talent at miss world 2006 row 8 : 2005 \| lucy evangelista \| portglenone \| top 15 \| later miss united kingdom 2005 and miss universe united kingdom row 9 : 2004 \| kirsty anne gabriel stew \| enniskillen \| non-finalist \| None row 10 : 2003 \| diana sayers \| belfast \| non-finalist \| None row 11 : 2002 \| gayle williamson \| lurgan \| non-finalist \| later miss united kingdom 2002 row 12 : 2001 \| angela mccarthy \| belfast \| non-finalist \| None row 13 : 2000 \| julie lee-ann mart \| belfast \| non-finalist \| None ] Execute this SQL based on the above table: select miss northern ireland where miss northern ireland = 'julie lee-ann martin' order by year asc limit 1	julie lee-ann martin
[ 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 language order by place desc limit 1	german
[ 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 year where code = 'm'	1941
[ header: name \| faith \| type \| gov \| opened \| intake \| dcsf number \| ofsted number \| web \| coordinates row 1 : ashfield \| None \| junior \| vc \| 1845 \| 60 \| 3012 \| 117391 \| w \| 51°38′22′′n 0° row 2 : bournehall \| None \| primary \| cy \| 1969 \| 30 \| 2360 \| 117296 \| w \| 51°39′00′′n 0° row 3 : bushey heath \| None \| primary \| cy \| 1879 \| 30 \| 2012 \| 117088 \| w \| 51°38′12′′n 0° row 4 : bushey manor \| None \| junior \| cy \| 1907 \| 60 \| 2261 \| 117242 \| w \| 51°38′49′′n 0° row 5 : falconer \| None \| special \| cy \| None \| None \| 7033 \| 117686 \| w \| 51°38′49′′n 0° row 6 : hartsbourne \| None \| primary \| cy \| None \| 30 \| 2372 \| 117300 \| w \| 51°37′52′′n 0° row 7 : highwood \| None \| primary \| cy \| 1949 \| 60 \| 2013 \| 117089 \| w \| 51°39′57′′n 0° row 8 : little reddings \| None \| primary \| fd \| None \| 51 \| 5208 \| 117568 \| w \| 51°38′51′′n 0° row 9 : meadow wood \| None \| special \| cy \| None \| None \| 7043 \| 117691 \| w \| 51°38′54′′n 0° row 10 : merry hill \| None \| infants \| cy \| 1885 \| 60 \| 2014 \| 117090 \| w \| 51°38′17′′n 0° row 11 : sacred heart \| rc \| primary \| va \| 1970 \| 40 \| 3415 \| 117488 \| w \| 51°38′38′′n 0° ] Execute this SQL based on the above table: select count ( type ) where opened > 1969	1
[ header: date \| city \| venue \| member \| performance \| notes row 1 : 15 january \| dublin \| rte studios \| brian & roger \| (1) "we will rock you" (2) "we \| the late late show row 2 : 31 january \| dublin \| the o2 \| brian \| (1) "bohemian rhap \| matinee and evening performances. roger row 3 : 10 may \| london \| dominion theatre \| brian & roger \| (1) "bohemian rhap \| 8th anniversary row 4 : 3 september \| utrecht \| beatrix theatre \| brian \| (1) "bohemian rhap \| None row 5 : 4 september \| london \| dominion theatre \| brian \| (1) "bohemian rhap \| matinee and evening performances row 6 : 12 september \| stockholm \| cirkus arena restaurang \| brian \| (1) "bohemian rhap \| None row 7 : 21 october \| berlin \| theater des westens \| brian \| (1) "bohemian rhap \| None ] Execute this SQL based on the above table: select count ( * ) where member is null	0
[ header: draw \| country \| language \| artist \| song \| english translation \| national final \| place \| points row 1 : 1 \| malta \| english \| claudia faniello \| "caravaggio" \| None \| 2nd \| 13 \| 53 row 2 : 2 \| israel \| hebrew \| bo'az ma'uda \| "parparim" \| butterflies \| 3rd \| 8 \| 90 row 3 : 3 \| russia \| english \| sergey lazarev \| "flyer" \| None \| 4th \| 7 \| 119 row 4 : 4 \| estonia \| english \| rolf junior \| "one on one" \| None \| 4th \| 21 \| 0 row 5 : 5 \| belgium \| english \| sandrine \| "i feel the same way" \| None \| 2nd \| 10 \| 64 row 6 : 6 \| macedonia \| macedonian \| risto samardziev \| "dojdi do mene" \| come to me \| 3rd \| 19 \| 7 row 7 : 7 \| poland \| english \| man meadow \| "viva la musica" \| hail to the music \| 3rd \| 3 \| 155 row 8 : 8 \| finland \| finnish \| mikael konttinen \| "milloin" \| when \| None \| 14 \| 46 row 9 : 9 \| germany \| german \| carolin fortenbacher \| "hinterm ozean" \| beyond the ocean \| 2nd \| 6 \| 129 row 10 : 10 \| denmark \| english \| kendra lou \| "until we're satisfied" \| None \| 4th \| 18 \| 21 row 11 : 11 \| greece \| english \| kostas martakis \| "always and forever" \| None \| 2nd \| 4 \| 140 row 12 : 12 \| serbia \| serbian \| beauty queens \| "zavet" \| a pledge \| 3rd \| 9 \| 68 row 13 : 13 \| croatia \| croatian \| emilija kokic \| "andjeo" \| angel \| 6th \| 15 \| 31 row 14 : 14 \| lithuania \| english \| aiste pilvelyte \| "troy on fire" \| None \| 2nd \| 17 \| 26 row 15 : 15 \| ireland \| english \| leona daly \| "not crazy after all" \| None \| None \| 12 \| 56 row 16 : 16 \| united kingdom \| english \| the revelations \| "it's you" \| None \| 3rd \| 16 \| 29 row 17 : 17 \| portugal \| portuguese \| lisboa nao \| "porto de encontro" \| meeting harbour \| 9th \| 20 \| 6 row 18 : 18 \| sweden \| english \| sanna nielsen \| "empty room" \| None \| 2nd \| 1 \| 269 row 19 : 19 \| norway \| english \| veronica akselsen \| "am i supposed to love again" \| None \| 4th \| 5 \| 139 row 20 : 20 \| slovenia \| slovene \| brigita suler \| "samara" \| None \| 3rd \| 11 \| 57 row 21 : 21 \| spain \| spanish \| coral \| "todo esta en t \| everything is in your mind \| 2nd \| 2 \| 178 ] Execute this SQL based on the above table: select count ( national final )	19
[ header: 0 \| polo row 1 : 1 \| əsad row 2 : 2 \| darwa row 3 : 3 \| tolo row 4 : 4 \| əpat row 5 : 5 \| lima row 6 : 7 \| pito row 7 : 8 \| walo row 8 : 9 \| siyam row 9 : 12 \| samdarwa row 10 : 14 \| sampat row 11 : 15 \| samlima row 12 : 17 \| sampito row 13 : 18 \| samwalo row 14 : 20 \| darwampolo row 15 : 21 \| darwamsad row 16 : 22 \| darwamdarwa row 17 : 23 \| darwamtolo row 18 : 24 \| darwampat row 19 : 25 \| darwamlima row 20 : 26 \| darwamnəm row 21 : 27 \| darwampito row 22 : 28 \| darwamwalo row 23 : 29 \| darwamsiyam row 24 : 30 \| tolompolo row 25 : 31 \| tolomsad row 26 : 32 \| tolomdarwa row 27 : 33 \| tolomtolo row 28 : 34 \| tolompat row 29 : 35 \| tolomlima row 30 : 36 \| tolomnəm row 31 : 37 \| tolompito row 32 : 38 \| tolomwalo row 33 : 39 \| tolomsiyam row 34 : 40 \| pampolo row 35 : 41 \| pamsad row 36 : 42 \| pamdarwa row 37 : 45 \| pamlima row 38 : 47 \| pampito row 39 : 48 \| pamwalo row 40 : 49 \| pamsiyam row 41 : 50 \| limampolo row 42 : 51 \| limamsad row 43 : 52 \| limamdarwa row 44 : 55 \| limamlima row 45 : 56 \| limamnəm row 46 : 57 \| limampito row 47 : 58 \| limamwalo row 48 : 59 \| limamsiyam row 49 : 60 \| nəmpolo row 50 : 61 \| nəmsad row 51 : 62 \| nəmdarwa row 52 : 63 \| nəmtolo row 53 : 65 \| nəmlima row 54 : 66 \| nəmnəm row 55 : 68 \| nəmwalo row 56 : 69 \| nəmsiyam row 57 : 70 \| pitompolo row 58 : 71 \| pitomsad row 59 : 72 \| pitomdarwa row 60 : 73 \| pitomtolo row 61 : 74 \| pitompat row 62 : 75 \| pitomlima row 63 : 76 \| pitomnəm row 64 : 79 \| pitomsiyam row 65 : 80 \| walompolo row 66 : 81 \| walomsad row 67 : 82 \| walomdarwa row 68 : 84 \| walompat row 69 : 85 \| walomlima row 70 : 86 \| walomnəm row 71 : 87 \| walompito row 72 : 88 \| walomwalo row 73 : 89 \| walomsiyam row 74 : 90 \| yampolo row 75 : 91 \| yamsad row 76 : 92 \| yamdarwa row 77 : 93 \| yamtolo row 78 : 94 \| yampat row 79 : 95 \| yamlima row 80 : 97 \| yampito ] Execute this SQL based on the above table: select polo where 0 = ( select 0 where polo = 'walomlima' ) + 1	walomnəm
[ header: name \| country \| top rugby league level \| top union level \| top representation level \| rugby league debut \| rugby union debut row 1 : karmichael hunt \| new zealand, australia \| national rugby league \| top 14, biarritz olymp \| australia (rl) \| 2004 \| 2009 row 2 : chris ashton \| england \| super league \| english premiership \| england (rl), eng \| 2005 \| 2007 row 3 : lee smith \| england \| super league \| english premiership \| england (rl), great \| 2005 \| 2009 row 4 : berrick barnes \| australia \| nrl \| super rugby \| australia (ru) \| 2005 \| 2006 row 5 : nathan blacklock \| australia \| nrl/super league \| super 12 \| australia (rl) \| 1995 \| 2003 row 6 : willie carne \| australia \| nrl \| super rugby \| australia (rl) \| 1990 \| 1997 row 7 : brian carney \| ireland \| super league/nrl \| celtic league \| great britain (rl), \| 1999 \| 2007 row 8 : andy farrell \| england \| super league \| english premiership \| great britain (rl), \| 1991 \| 2005 row 9 : paul franze \| australia \| nrl \| english premiership \| australia (rl), london \| 2002 \| 2006 row 10 : iestyn harris \| wales \| super league \| heineken cup, celtic league \| great britain (rl), \| 1993 \| 2001 row 11 : sam harris \| australia \| nrl \| super rugby \| australian schoolboys (ru), city \| 2003 \| 2007 row 12 : wise kativerata \| australia \| nrl \| shute shield \| australia sevens (ru) \| 2001 \| 2004 row 13 : ben macdougall \| australia \| nrl \| celtic league \| scotland (ru) \| 1998 \| 2006 row 14 : henry paul \| new zealand \| nrl \| english premiership \| new zealand (rl), \| 1993 \| 2001 row 15 : jason robinson \| england \| super league \| english premiership \| great britain (rl), \| 1991 \| 1996 row 16 : mat rogers \| australia \| nrl \| super rugby \| australia (rl/ru) \| 1995 \| 2002 row 17 : clinton schifcofske \| australia \| nrl/super league \| super rugby \| state of origin {rl), australia \| 1996 \| 2006 row 18 : timana tahu \| australia \| nrl \| super rugby \| australia (rl/ru) \| 1999 \| 2008 row 19 : alan tait \| scotland \| super league \| celtic league \| scotland (rl/r \| 1988 \| 1996 row 20 : brad thorn \| australia \| nrl \| super rugby \| australia (rl), new zealand \| 1994 \| 2001 row 21 : andrew walker \| australia \| nrl \| super rugby \| australia (rl/ru) \| 1991 \| 2000 row 22 : chev walker \| england \| super league \| english premiership \| great britain (rl), \| 1999 \| 2007 row 23 : craig wing \| australia \| nrl \| top league \| australian kangaroos (r \| 2002 \| 2010 ] Execute this SQL based on the above table: select country where country in ( 'australia' , 'scotland' ) order by country desc limit 1	scotland
[ header: date \| winning team \| score \| losing team \| score \| ot \| city \| state/province \| arena \| attendance row 1 : october 21, 1993 \| st. louis \| 5 \| san jose \| 2 \| None \| sacramento \| ca \| arco arena \| 7144 row 2 : october 31, 1993 \| ny rangers \| 4 \| new jersey \| 1 \| None \| halifax \| ns \| halifax metro centre \| 8200 row 3 : november 3, 1993 \| pittsburgh \| 6 \| buffalo \| 2 \| None \| sacramento \| ca \| arco arena \| 10117 row 4 : november 9, 1993 \| anaheim \| 4 \| dallas \| 2 \| None \| phoenix \| az \| america west arena \| 8143 row 5 : november 18, 1993 \| ny islanders \| 5 \| montreal \| 1 \| None \| hamilton \| on \| copps coliseum \| 17008 row 6 : december 9, 1993 \| dallas \| 6 \| ottawa \| 1 \| None \| minneapolis \| mn \| target center \| 14058 row 7 : december 23, 1993 \| vancouver \| 4 \| calgary \| 3 \| None \| saskatoon \| sk \| saskplace \| 11429 row 8 : december 31, 1993 \| philadelphia \| 4 \| boston \| 3 \| None \| minneapolis \| mn \| target center \| 10855 row 9 : january 4, 1994 \| tampa bay \| 1 \| toronto \| 0 \| None \| hamilton \| on \| copps coliseum \| 17526 row 10 : january 5, 1994 \| montreal \| 2 \| quebec \| 0 \| None \| phoenix \| az \| america west arena \| 11393 row 11 : january 6, 1994 \| st. louis \| 2 \| hartford \| 1 \| None \| cleveland \| oh \| richfield coliseum \| 6956 row 12 : january 17, 1994 \| detroit \| 6 \| tampa bay \| 3 \| None \| minneapolis \| mn \| target center \| 8764 row 13 : january 23, 1994 \| vancouver \| 5 \| edmonton \| 4 \| (ot) \| saskatoon \| sk \| saskplace \| None row 14 : january 24, 1994 \| calgary \| 3 \| los angeles \| 3 \| (ot) \| phoenix \| az \| america west arena \| 14864 row 15 : february 2, 1994 \| washington \| 5 \| philadelphia \| 2 \| None \| cleveland \| oh \| richfield coliseum \| 8312 row 16 : february 8, 1994 \| san jose \| 4 \| chicago \| 3 \| None \| sacramento \| ca \| arco arena \| 14182 row 17 : february 22, 1994 \| florida \| 3 \| winnipeg \| 2 \| None \| hamilton \| on \| copps coliseum \| 6291 row 18 : february 24, 1994 \| detroit \| 3 \| hartford \| 0 \| None \| cleveland \| oh \| richfield coliseum \| 11621 row 19 : march 8, 1994 \| chicago \| 3 \| anaheim \| 0 \| None \| phoenix \| az \| america west arena \| 13847 row 20 : march 9, 1994 \| ny rangers \| 7 \| washington \| 5 \| None \| halifax \| ns \| halifax metro centre \| 9200 row 21 : march 18, 1994 \| buffalo \| 2 \| ny islanders \| 2 \| (ot) \| minneapolis \| mn \| target center \| 8016 ] Execute this SQL based on the above table: select score where arena = 'richfield coliseum'	1, 2, 0
[ header: institution \| location \| founded \| type \| enrollment \| joined \| nickname row 1 : bryan college \| dayton, tennessee \| 1930 \| private (non-denominational) \| 1044 \| 2001 \| lions row 2 : columbia college \| columbia, south carolina \| 1854 \| private (methodist) \| 1200 \| 2011 \| fighting koalas row 3 : milligan college \| elizabethton, \| 1866 \| private (disciples of christ) \| 1006 \| 2001 \| buffaloes row 4 : montreat college \| montreat, north carolina \| 1916 \| private (presbyterian) \| 1145 \| 2001 \| cavaliers row 5 : point university \| west point, georgia \| 1937 \| private (christian churches and churches of \| 1000 \| 2011 \| skyhawks row 6 : reinhardt university \| waleska, georgia \| 1883 \| private (methodist) \| 1057 \| 2009 \| eagles row 7 : st. andrews university \| laurinburg, north carolina \| 1958 \| private \| 800 \| 2012 \| knights row 8 : savannah college of art and design \| atlanta, georgia \| 2005 \| private \| 2000 \| 2012 \| bees row 9 : tennessee wesleyan college \| athens, tennessee \| 1857 \| private (methodist) \| 1103 \| 2001 \| bulldogs row 10 : truett-mcconnell college \| cleveland, georgia \| 1946 \| private/christian (baptist) \| 550 \| 2013 \| bears row 11 : union college \| barbourville, kentucky \| 1879 \| private/christian (methodist) \| 1368 \| 2001 \| bulldogs row 12 : virginia intermont college \| bristol, virginia \| 1884 \| private/christian (baptist) \| 916 \| 2001 \| cobras ] Execute this SQL based on the above table: select type where joined = ( select joined where type = 'private (methodist)' ) + 1	private, private
[ header: year \| title \| chart-positions uk \| chart-positions us \| chart-positions nl \| comments row 1 : 1969 \| renaissance \| 60 \| None \| 10 \| None row 2 : 1971 \| illusion \| None \| None \| None \| 1976 (uk) row 3 : 1972 \| prologue \| None \| None \| None \| None row 4 : 1973 \| ashes are burning \| None \| 171 \| None \| None row 5 : 1974 \| turn of the cards \| None \| 94 \| None \| 1975 (uk) row 6 : 1975 \| scheherazade and other stories \| None \| 48 \| None \| None row 7 : 1977 \| novella \| None \| 46 \| None \| 1977 (january in us, august in row 8 : 1978 \| a song for all seasons \| 35 \| 58 \| None \| uk:silver row 9 : 1979 \| azure d'or \| 73 \| 125 \| None \| None row 10 : 1981 \| camera camera \| None \| 196 \| None \| None row 11 : 1983 \| time-line \| None \| 207 \| None \| None row 12 : 2001 \| tuscany \| None \| None \| None \| None row 13 : 2013 \| grandine il vento \| None \| None \| None \| None ] Execute this SQL based on the above table: select title where year = 1971	illusion
[ header: year \| title \| role \| notes row 1 : 1980 \| the flintstone comedy hour \| freaky frankenstone \| voice episode: "rv fever/birthday row 2 : 1980 \| steve martin: comedy is not \| unnamed terrorist \| reubens played an unnamed terrorist row 3 : 1980 \| steve martin: all commercials \| multiple roles \| reubens played multiple roles in multiple ski row 4 : 1981 \| mork & mindy \| dickie nimitz \| episode: "long before we met" row 5 : 1981 \| the pee-wee herman show \| pee-wee herman \| tv movie row 6 : 1982 \| madame's place \| pee-wee herman \| episode: "episode #1. row 7 : 1984 \| faerie tale theatre \| pinocchio \| episode: "pinocchio" row 8 : 1985 \| saturday night live \| pee-wee herman \| host episode: "pee-wee her row 9 : 1986-1990 \| pee-wee's playhouse \| pee-wee herman \| creator, writer, director of 3 episodes daytime row 10 : 1988 \| sesame street \| pee-wee herman \| episode:"put down the duckie" row 11 : 1995-1997 \| murphy brown \| andrew j. lansing \| 6 episodes nominated - primetime row 12 : 2001 \| ally mcbeal \| louis \| episode: "cloudy skies, chance of parade row 13 : 2006 \| campus ladies \| drama instructor \| episode: "drama class" row 14 : 2006 \| reno 911! \| rick \| episode: "rick's on it" row 15 : 2006 \| tom goes to the mayor \| paul \| voice episode: "puddins" row 16 : 2006 \| re-animated \| golly gopher \| voice tv movie row 17 : 2007 \| area 57 \| alien \| unaired pilot row 18 : 2007 \| 30 rock \| gerhardt hapsburg \| episode: "black tie" row 19 : 2007 \| tim and eric awesome show, great \| the moon \| episode: "cats" row 20 : 2007-2009 \| chowder \| reuben \| voice 3 episodes row 21 : 2007 \| pushing daisies \| oscar vibenius \| 2 episodes row 22 : 2009-2011 \| batman: the brave and the bold \| bat-mite \| voice 4 episodes row 23 : 2012-2013 \| tron: uprising \| pavel \| voice 17 episodes row 24 : 2012 \| robot chicken dc comics special \| the riddler \| voice tv movie row 25 : 2013 \| comedy bang! bang! \| pee-wee herman \| episode: "pee wee herman wear ] Execute this SQL based on the above table: select count ( distinct role )	20
[ header: draw \| artist \| song \| points \| place row 1 : 1 \| gonzaga coutinho \| "tema para um homem so" \| 102 \| 5th row 2 : 2 \| pedro osorio \| "uma cancao comercial" \| 123 \| 3rd row 3 : 3 \| concha \| "qualquer dia, quem dir \| 78 \| 6th row 4 : 4 \| gabriela schaaf \| "eu so quero" \| 132 \| 2nd row 5 : 5 \| toze brito \| "novo canto portugues" \| 110 \| 4th row 6 : 6 \| teresa silva carval \| "cantemos ate ser dia" \| 52 \| 9th row 7 : 7 \| florencia \| "o comboio do tua \| 63 \| 8th row 8 : 8 \| manuel jose soares \| "quando chego a casa \| 76 \| 7th row 9 : 9 \| manuela bravo \| "sobe, sobe, bala \| 149 \| 1st ] Execute this SQL based on the above table: select artist order by draw desc limit 1	manuela bravo
[ header: kant \| latitude \| longitude \| diameter row 1 : b \| 9.7° s \| 18.6° e \| 16 km row 2 : c \| 9.3° s \| 22.1° e \| 20 km row 3 : d \| 11.5° s \| 18.7° e \| 52 km row 4 : g \| 9.2° s \| 19.5° e \| 32 km row 5 : h \| 9.1° s \| 20.8° e \| 7 km row 6 : n \| 9.9° s \| 19.7° e \| 10 km row 7 : o \| 12.0° s \| 17.2° e \| 7 km row 8 : p \| 10.8° s \| 17.4° e \| 5 km row 9 : q \| 13.1° s \| 18.8° e \| 5 km row 10 : s \| 11.5° s \| 19.7° e \| 5 km row 11 : t \| 11.3° s \| 20.2° e \| 5 km row 12 : z \| 10.4° s \| 17.5° e \| 3 km ] Execute this SQL based on the above table: select kant order by diameter desc limit 1	d
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| great britain (gbr) \| 6 \| 3 \| 2 \| 11 row 2 : 2 \| south africa (rsa) \| 1 \| 2 \| 1 \| 4 row 3 : 3 \| canada (can) \| 1 \| 1 \| 0 \| 2 row 4 : 4 \| australia (aus) \| 0 \| 1 \| 1 \| 2 row 5 : 4 \| hong kong (hkg) \| 0 \| 1 \| 1 \| 2 row 6 : 6 \| israel (isr) \| 0 \| 0 \| 2 \| 2 row 7 : 7 \| south korea (kor) \| 0 \| 0 \| 1 \| 1 ] Execute this SQL based on the above table: select count ( nation ) where bronze > 1376	0
[ header: year \| title \| role \| notes row 1 : 1999 \| bob rizzo's simply \| himself \| as matthew j. morrison row 2 : 2003 \| marci x \| boyz r us \| as matthew j. morrison row 3 : 2005 \| once upon a mattress \| sir harry \| None row 4 : 2006 \| blinders \| scott \| None row 5 : 2007 \| music and lyrics \| ray \| None row 6 : 2007 \| dan in real life \| policeman \| None row 7 : 2007 \| i think i love my wife \| salesman #2 \| None row 8 : 2011 \| the muppets \| mahna mahna host \| None row 9 : 2012 \| what to expect when you're expecting \| evan \| None ] Execute this SQL based on the above table: select ( select year where title = 'i think i love my wife' ) > ( select year where title = 'the muppets' )	0
[ header: club \| league \| sport \| venue \| established \| championships row 1 : madison mustangs \| ifl \| american football \| breitenbach stadium \| 1997 \| 4 consecutive ironbowls row 2 : madison mallards \| nl \| baseball \| warner park \| 2001 \| 1 championship row 3 : madison 56ers \| npsl \| soccer \| breese stevens field \| 2005 \| 0 championships row 4 : wisconsin rugby club \| wrfu \| rugby \| wisconsin rugby club sports complex \| 1962 \| 2 championships row 5 : madison minotaurs \| wrfu \| rugby \| yahara rugby field \| 2007 \| 0 bingham cups row 6 : wisconsin badgers \| big ten, ncaa div \| 23 varsity teams \| camp randall stadium, kohl center \| 1849 \| 27 championships row 7 : edgewood eagles \| nacc, ncaa div \| 16 varsity teams \| edgedome \| 1974 \| 35 championships row 8 : madison college wolfpack \| n4c, njcaa \| 8 varsity teams \| redsten gymnasium, roberts \| 1912 \| 21 championships row 9 : mad rollin' dolls \| wftda \| roller derby \| alliant energy center \| 2005 \| 0 championships row 10 : madison blues \| glhl \| hockey \| capitol ice arena \| 2010 \| 0 championships ] Execute this SQL based on the above table: select championships where championships != '0 bingham cups' and league = ( select league where championships = '0 bingham cups' )	2 championships
[ header: team 1 \| agg. \| team 2 \| 1st leg \| 2nd leg row 1 : dr congo \| None \| chad \| None \| None row 2 : ethiopia \| None \| equatorial guinea \| None \| None row 3 : swaziland \| None \| mauritius \| None \| None row 4 : djibouti \| None \| madagascar \| None \| None row 5 : sierra leone \| 2-2 (1-3 p) \| liberia \| 1-1 \| 1-1 row 6 : somalia \| 0-1 \| sudan \| 0-0 \| 0-1 row 7 : botswana \| 1-0 \| namibia \| 1-0 \| 0-0 ] Execute this SQL based on the above table: select 1st leg order by team 2 desc limit 1	0-0
[ header: # \| date \| opponent \| score \| win \| loss \| save \| attendance \| record row 1 : 107 \| august 3 \| red sox \| 7 - 4 \| green (5-1) \| timlin (1-1) \| putz (32) \| 46235 \| 60-47 row 2 : 110 \| august 7 \| @ orioles \| 10 - 3 \| weaver (3-10) \| walker (1-2) \| None \| 25060 \| 61-49 row 3 : 111 \| august 8 \| @ orioles \| 8 - 4 \| hernandez (8-6) \| guthrie (7-4) \| putz (33) \| 17511 \| 62-49 row 4 : 112 \| august 9 \| @ orioles \| 13 - 8 \| ramirez (7-3) \| cabrera (8-12) \| sherrill (1) \| 18679 \| 63-49 row 5 : 113 \| august 10 \| @ white sox \| 5 - 3 \| vazquez (10-6) \| washburn (8-9) \| jenks (33) \| 38586 \| 63-50 row 6 : 114 \| august 11 \| @ white sox \| 7 - 6 \| batista (12-8) \| floyd (1-2) \| putz (34) \| 38210 \| 64-50 row 7 : 115 \| august 12 \| @ white sox \| 6 - 0 \| weaver (4-10) \| danks (6-10) \| None \| 36629 \| 65-50 row 8 : 117 \| august 14 \| twins \| 11 - 3 \| garza () \| ramirez (7-4) \| None \| 33729 \| 66-51 row 9 : 118 \| august 15 \| twins \| 6 - 1 \| neshek (7-2) \| washburn (8-10) \| None \| 42921 \| 66-52 row 10 : 119 \| august 17 \| white sox \| 5 - 4 \| batista (13-8) \| contreras (6-15) \| putz (35) \| 46170 \| 67-52 row 11 : 120 \| august 18 \| white sox \| 7 - 5 \| weaver (5-10) \| danks (6-11) \| putz (36) \| 41121 \| 68-52 row 12 : 121 \| august 19 \| white sox \| 11 - 5 \| hernandez (9-6) \| garland (8-9) \| None \| 45668 \| 69-52 row 13 : 122 \| august 20 \| @ twins \| 9 - 4 \| ramirez (8-4) \| garza (2-4) \| None \| 31755 \| 70-52 row 14 : 123 \| august 21 \| @ twins \| 7 - 2 \| washburn (9-10) \| baker (6-6) \| None \| 42373 \| 71-52 row 15 : 124 \| august 22 \| @ twins \| 8 - 4 \| silva (10-12) \| batista (13-9) \| None \| 29881 \| 71-53 row 16 : 125 \| august 23 \| @ rangers \| 9 - 4 \| weaver (6-10) \| loe (6-10) \| None \| 26963 \| 72-53 row 17 : 127 \| august 25 \| @ rangers \| 5 - 3 \| benoit (7-3) \| white (1-1) \| wilson (8) \| 47977 \| 73-54 row 18 : 128 \| august 26 \| @ rangers \| 5 - 3 \| padilla (4-9) \| washburn (9-11) \| None \| 25437 \| 73-55 row 19 : 129 \| august 27 \| angels \| 6 - 0 \| lackey (16-8) \| batista (13-10) \| None \| 45998 \| 73-56 row 20 : 130 \| august 28 \| angels \| 10 - 6 \| speier (2-3) \| morrow (3-3) \| None \| 44395 \| 73-57 row 21 : 131 \| august 29 \| angels \| 8 - 2 \| weaver (10-6) \| hernandez (10-7) \| None \| 46047 \| 73-58 row 22 : 132 \| august 30 \| @ indians \| 6 - 5 \| borowski (3-5) \| o'flaherty (7- \| None \| 25949 \| 73-59 ] Execute this SQL based on the above table: select date where id = ( select id where date = 'august 25' ) + 1	august 26
[ header: record \| athlete \| nation \| venue \| date \| # row 1 : 4.08 m (13 ft 41 \| sun caiyun \| china \| taiyuan, china \| 18 may 1995 \| 2 row 2 : 4.08 m (13 ft 41 \| zhong guiqing \| china \| taiyuan, china \| 18 may 1995 \| 1 row 3 : 4.13 m (13 ft \| daniela bartova \| czech republic \| wesel, germany \| 24 june 1995 \| 3 row 4 : 4.16 m (13 ft \| daniela bartova \| czech republic \| feldkirch, austria \| 14 july 1995 \| 6 row 5 : 4.18 m (13 ft \| andrea muller \| germany \| zittau, germany \| 5 august 1995 \| 1 row 6 : 4.20 m (13 ft \| daniela bartova \| czech republic \| koln, germany \| 18 august 1995 \| 8 row 7 : 4.22 m (13 ft 10 \| daniela bartova \| czech republic \| salgotarjan, hungary \| 11 september 1995 \| 10 row 8 : 4.41 m (14 ft 51 \| emma george \| australia \| perth, australia \| 28 january 1996 \| 3 row 9 : 4.42 m (14 ft 6 \| emma george \| australia \| reims, france \| 29 june 1996 \| 4 row 10 : 4.45 m (14 ft 7 \| emma george \| australia \| sapporo, japan \| 14 july 1996 \| 5 row 11 : 4.55 m (14 ft 11 \| emma george \| australia \| melbourne, australia \| 20 february 1997 \| 7 row 12 : 4.58 m (15 ft 01⁄ \| emma george \| australia \| melbourne, australia \| 14 march 1998 \| 9 row 13 : 4.59 m (15 ft 01⁄ \| emma george \| australia \| brisbane, australia \| 21 march 1998 \| 10 row 14 : 4.60 m (15 ft 1 in \| emma george \| australia \| sydney, australia \| 20 february 1999 \| 11 row 15 : i 4.63 m (15 ft \| stacy dragila \| united states \| new york city, u.s \| 2 feb 2001 \| 5 row 16 : i 4.64 m (15 ft \| svetlana feof \| russia \| dortmund, germany \| 11 february 2001 \| 1 row 17 : i 4.66 m (15 ft \| stacy dragila \| united states \| pocatello, u.s \| 17 feb 2001 \| 6 row 18 : i 4.70 m (15 ft \| stacy dragila \| united states \| pocatello, u.s \| 17 feb 2001 \| 7 row 19 : 4.81 m (15 ft 91 \| stacy dragila \| united states \| palo alto, u.s \| 9 june 2001 \| 10 row 20 : 4.82 m (15 ft 93 \| yelena isinbayeva \| russia \| gateshead, england \| 13 july 2003 \| 1 row 21 : 4.89 m (16 ft 01⁄ \| yelena isinbayeva \| russia \| birmingham, england \| 25 july 2004 \| 5 ] Execute this SQL based on the above table: select count ( * ) where # = 334	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 ( select joined where type = 'private/roman catholic' ) - ( select joined where type = 'private/roman catholic' )	0.0
[ 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 order by race desc limit 1	michel nykjær
[ header: team 1 \| agg. \| team 2 \| 1st leg \| 2nd leg row 1 : uniao da madeira \| 2-5 \| maritimo \| 2-3 \| 0-2 row 2 : penafiel \| 2-1 \| academica \| 1-1 \| 1-0 row 3 : santa clara \| 3-2 \| uniao de leiria \| 3-1 \| 0-1 row 4 : naval \| 3-4 \| vitoria de setubal \| 1-2 \| 2-2 row 5 : moreirense \| 4-3 \| beira-mar \| 2-2 \| 2-1 row 6 : portimonense \| 2-2(5-4p) \| feirense \| 1-0 \| 1-2 row 7 : estoril \| 4-3 \| olhanense \| 4-3 \| 0-0 row 8 : belenenses \| 2-3 \| gil vicente \| 2-1 \| 0-2 ] Execute this SQL based on the above table: select count ( * ) where agg. + 2nd leg = 1	0
[ header: rank \| name \| nationality \| time row 1 : None \| jorge delgado \| ecuador \| 1:55.45 row 2 : None \| rick demont \| united states \| 1:55.96 row 3 : None \| rex favero \| united states \| 1:57.08 row 4 : 4 \| djan madruga \| brazil \| 1:57.17 row 5 : 5 \| None \| None \| None row 6 : 6 \| None \| None \| None row 7 : 7 \| None \| None \| None row 8 : 8 \| None \| None \| None ] Execute this SQL based on the above table: select nationality where id = ( select id where nationality = 'united states' ) - 1	ecuador
[ header: model \| class \| length \| fuel \| starting price row 1 : tour \| class a \| 42' \| diesel \| $362,285 row 2 : journey \| class a \| 35'-43' \| diesel \| $246,736 row 3 : adventurer \| class a \| 32'-37' \| gas \| $150,711 row 4 : via \| class a \| 25' \| diesel \| $126,476 row 5 : sightseer \| class a \| 31'-37' \| gas \| $126,162 row 6 : vista \| class a \| 26'-35' \| gas \| $107,717 row 7 : view \| class c \| 24'-25' \| diesel \| $100,955 row 8 : aspect \| class c \| 29'-31' \| gas \| $95,948 row 9 : access \| class c \| 25'-31' \| gas \| $74,704 ] Execute this SQL based on the above table: select model where model != 'via' and class = ( select class where model = 'via' ) and class = 'class a'	tour, journey, adventurer, sightseer, vista
[ header: institution \| location \| nickname \| founded \| historical affiliation \| enrollment \| primary conference row 1 : brown university \| providence, rhode island \| bears \| 1764 \| nonsectarian, founded by bapt \| 7744 \| ivy league row 2 : clarkson university \| potsdam, new york \| golden knights \| 1896 \| private/non-sectarian \| 3100 \| liberty league (d-iii) row 3 : colgate university \| hamilton, new york \| raiders \| 1819 \| private/non-sectarian, founded \| 2800 \| patriot league row 4 : cornell university \| ithaca, new york \| big red \| 1865 \| private/non-sectarian \| 20400 \| ivy league row 5 : dartmouth college \| hanover, new hampshire \| big green \| 1769 \| private/congregationalist \| 5753 \| ivy league row 6 : harvard university \| cambridge, massachusetts \| crimson \| 1636 \| private/unitarian \| 20042 \| ivy league row 7 : princeton university \| princeton, new jersey \| tigers \| 1746 \| nonsectarian, but founded by pres \| 6677 \| ivy league row 8 : quinnipiac university \| hamden, connecticut \| bobcats \| 1929 \| private/non-sectarian \| 7700 \| maac row 9 : rensselaer polytechnic institute \| troy, new york \| engineers \| 1824 \| private/non-sectarian \| 6376 \| liberty league (d-iii) row 10 : st. lawrence university \| canton, new york \| saints \| 1856 \| non-denominational, founded by universal \| 2100 \| liberty league (d-iii) row 11 : union college \| schenectady, new york \| dutchmen \| 1795 \| private/non-sectarian \| 2100 \| liberty league (d-iii) row 12 : yale university \| new haven, connecticut \| bulldogs \| 1701 \| private/congregationalist \| 11483 \| ivy league ] Execute this SQL based on the above table: select count ( location ) where enrollment > 1620	12
[ header: no. \| name \| term of office \| term of office \| political party \| ministry row 1 : 1 \| c. d. howe \| november 2, 1936 \| july 8, 1940 \| liberal \| 16 (king) row 2 : 2 \| arthur cardin \| july 8, 1940 \| may 13, 1942 \| liberal \| 16 (king) row 3 : None \| c. d. howe (act \| may 13, 1942 \| october 6, 1942 \| liberal \| 16 (king) row 4 : 3 \| joseph-enoil michau \| october 6, 1942 \| april 18, 1945 \| liberal \| 16 (king) row 5 : 4 \| lionel chevrier \| april 18, 1945 \| july 1, 1954 \| liberal \| 17 (st. laurent) row 6 : 5 \| george carlyle marler \| july 1, 1954 \| june 21, 1957 \| liberal \| 17 (st. laurent) row 7 : 7 \| leon balcer \| october 11, 1960 \| april 22, 1963 \| progressive conservative \| 18 (diefenbaker) row 8 : 8 \| george mcilraith \| april 22, 1963 \| february 3, 1964 \| liberal \| 19 (pearson) row 9 : 9 \| jack pickersgill \| february 3, 1964 \| september 19, 1967 \| liberal \| 19 (pearson) row 10 : 10 \| paul hellyer \| september 19, 1967 \| april 20, 1968 \| liberal \| 19 (pearson) row 11 : 10 \| paul hellyer \| april 20, 1968 \| april 30, 1969 \| liberal \| 20 (trudeau) row 12 : None \| james armstrong richardson (act \| april 30, 1969 \| may 5, 1969 \| liberal \| 20 (trudeau) row 13 : 11 \| don jamieson \| may 5, 1969 \| november 27, 1972 \| liberal \| 20 (trudeau) row 14 : 12 \| jean marchand \| november 27, 1972 \| september 26, 1975 \| liberal \| 20 (trudeau) row 15 : 14 \| don mazankowski \| june 4, 1979 \| march 3, 1980 \| progressive conservative \| 21 (clark) row 16 : 15 \| jean-luc pepin \| march 3, 1980 \| august 12, 1983 \| liberal \| 22 (trudeau) row 17 : 16 \| lloyd axworthy \| august 12, 1983 \| june 29, 1984 \| liberal \| 22 (trudeau) row 18 : 16 \| lloyd axworthy \| june 30, 1984 \| september 16, 1984 \| liberal \| 23 (turner) row 19 : (14) \| don mazankowski (2nd time) \| september 17, 1984 \| june 29, 1986 \| progressive conservative \| 24 (mulroney) row 20 : 17 \| john crosbie \| june 30, 1986 \| march 30, 1988 \| progressive conservative \| 24 (mulroney) row 21 : 18 \| benoit bouchard \| march 31, 1988 \| february 22, 1990 \| progressive conservative \| 24 (mulroney) row 22 : 20 \| jean corbeil \| april 21, 1991 \| june 24, 1993 \| progressive conservative \| 24 (mulroney) row 23 : 20 \| jean corbeil \| june 25, 1993 \| november 3, 1993 \| progressive conservative \| 25 (campbell) row 24 : 21 \| doug young \| november 4, 1993 \| january 24, 1996 \| liberal \| 26 (chretien) row 25 : 22 \| david anderson \| january 25, 1996 \| june 10, 1997 \| liberal \| 26 (chretien) row 26 : 23 \| david collenette \| june 11, 1997 \| december 11, 2003 \| liberal \| 26 (chretien) row 27 : 24 \| tony valeri \| december 12, 2003 \| july 19, 2004 \| liberal \| 27 (martin) row 28 : 25 \| jean lapierre \| july 20, 2004 \| february 5, 2006 \| liberal \| 27 (martin) ] Execute this SQL based on the above table: select count ( * ) where no. = 2	1
[ header: call sign \| frequency \| city of license \| licensee \| format row 1 : kmsa \| 91.3 fm \| grand junction \| colorado mesa university \| aaa row 2 : kmgj \| 93.1 fm \| grand junction \| mbc grand broadcasting, inc \| top 40 (chr)/contempor row 3 : kkvt \| 100.7 fm \| grand junction \| mbc grand broadcasting, inc \| country row 4 : klfv \| 90.3 fm \| grand junction \| educational media foundation \| christian contemporary row 5 : kmoz-fm \| 92.3 fm \| grand junction \| mbc grand broadcasting, inc \| adult hits row 6 : kgjn-lp \| 106.7 fm \| grand junction \| colorado, state of, telecom \| news talk information row 7 : kjol \| 620 am \| grand junction \| united ministries \| christian contemporary row 8 : kcic \| 88.5 fm \| grand junction \| pear park baptist schools \| religious row 9 : kbkl \| 107.9 fm \| grand junction \| townsquare media group \| oldies row 10 : kafm \| 88.1 fm \| grand junction \| grand valley public radio co, inc \| variety row 11 : kexo \| 1230 am \| grand junction \| townsquare media group \| regional mexican/talk row 12 : knzz \| 1100 am \| grand junction \| mbc grand broadcasting, inc \| news/talk row 13 : kmxy \| 104.3 fm \| grand junction \| townsquare media group \| hot adult contemporary row 14 : kprn \| 89.5 fm \| grand junction \| public broadcasting of colorado, in \| public/news/talk row 15 : ktmm \| 1340 am \| grand junction \| mbc grand broadcasting, inc \| sports/talk row 16 : kaai \| 98.5 fm \| palisade, colorado \| educational media foundation \| christian rock row 17 : kmzk (fm) \| 106.9 fm \| clifton \| charles d. hall \| None row 18 : kekb \| 99.9 fm \| fruita \| townsquare media group \| country row 19 : krzx \| 106.1 fm \| redlands \| cochise media licenses llc \| None row 20 : kzks \| 105.3 fm \| rifle, colorado \| western slope communications \| classic hits row 21 : knoz \| 97.7 fm \| orchard mesa \| paul varecha \| all-news radio row 22 : ktun \| 93.5 fm \| new castle, colorado \| wildcat communications \| spanish hits row 23 : kknn \| 95.1 fm \| delta, colorado \| townsquare media group \| active rock row 24 : kstr-fm \| 96.1 fm \| montrose, colorado \| mbc grand broadcasting \| classic rock row 25 : kubc \| 580 am \| montrose, colorado \| cherry creek radio \| news/talk ] Execute this SQL based on the above table: select count ( format ) where city of license = 'delta, colorado'	1
[ header: date \| race name \| d(f) \| course \| prize (£) \| odds \| runners \| place \| margin \| winner/runner-up \| time \| jockey row 1 : july 1879 \| chesterfield stakes \| 5 \| newmarket \| 1130 \| 9/4 \| 11 \| 1 \| 1 \| petal \| 0:59 \| charles wood row 2 : 29 july 1879 \| richmond stakes \| 6 \| goodwood \| 1762 \| None \| 8 \| 1 \| None \| None \| None \| None row 3 : august 1879 \| prince of wales stakes \| 5 \| york \| 340 \| 1/2 \| 9 \| 1 \| 0.5 \| brother to ersilia \| None \| fred archer row 4 : 1879 \| triennial produce stakes \| 10 \| newmarket \| 881 \| None \| 11 \| 1 \| None \| None \| None \| None row 5 : 1879 \| rous memorial stakes \| 5 \| newmarket \| 567 \| None \| 10 \| 1 \| None \| None \| None \| None row 6 : 26 may 1880 \| epsom derby \| 12 \| epsom downs \| 6375 \| 2/1 \| 19 \| 1 \| head \| robert the devil \| 2:48 \| fred archer row 7 : june 1880 \| st. james's palace \| 8 \| ascot \| 1550 \| 30/100 \| 5 \| 1 \| head \| fernandez \| None \| g fordham row 8 : 15 september 1880 \| st leger \| 14.5 \| doncaster \| 6100 \| 4/5 \| 12 \| 6 \| None \| robert the devil \| 3:32 \| None row 9 : 28 september 1880 \| great foal stakes \| 10 \| newmarket \| 2697 \| 9/2 \| 7 \| 2 \| head \| robert the devil \| 2:25 \| tom cannon row 10 : 14 october 1880 \| champion stakes \| 10 \| newmarket \| 2071 \| 5/4 \| 4 \| 2 \| 10 \| robert the devil \| 2:10 \| g fordham row 11 : 27 april 1881 \| city and suburban handicap \| 10 \| epsom downs \| 1230 \| 100/8 \| 24 \| 1 \| 1.5 \| foxhall \| 2:07 \| fred archer row 12 : 3 june 1881 \| epsom gold cup \| 12 \| epsom downs \| 500 \| None \| 2 \| 1 \| None \| robert the devil \| None \| None row 13 : 13 october 1881 \| champion stakes \| 10 \| newmarket \| 2087 \| 4/6 \| 8 \| 1 \| 0.75 \| scobell \| 2:23.6 \| fred archer row 14 : 25 october 1881 \| cambridgeshire stakes \| 9 \| newmarket \| 2017 \| 9/2 \| 32 \| 7 \| None \| foxhall \| 2:15.4 \| fred archer ] Execute this SQL based on the above table: select count ( winner/runner-up ) where date = '14 october 1880'	1
[ header: no. \| train no: \| origin \| destination \| train name row 1 : 1 \| 56654 \| mangalore central \| kozhikode \| passenger row 2 : 2 \| 56324 \| mangalore central \| coimbatore city junction \| fast passenger row 3 : 3 \| 56656 \| mangalore central \| kannur \| passenger row 4 : 4 \| 56643/56645 \| mangalore central \| kabakaputtur \| passenger row 5 : 5 \| 56640 \| mangalore central \| verna \| passenger row 6 : 6 \| 56647 \| mangalore central \| subrahmanya road \| passenger row 7 : 7 \| 56661 \| mangalore central \| cheruvathur \| passenger row 8 : 8 \| 70106 \| mangalore central \| bhatkal \| demu ] Execute this SQL based on the above table: select train name + train name where train name = 'fast passenger'	0
[ header: pos \| no \| driver \| constructor \| laps \| time/retired \| grid \| points row 1 : 1 \| 4 \| robert kubica \| bmw sauber \| 70 \| 1:36:24.227 \| 2 \| 10 row 2 : 2 \| 3 \| nick heidfeld \| bmw sauber \| 70 \| 16.495 \| 8 \| 8 row 3 : 3 \| 9 \| david coulthard \| red bull-renault \| 70 \| 23.352 \| 13 \| 6 row 4 : 4 \| 12 \| timo glock \| toyota \| 70 \| 42.627 \| 11 \| 5 row 5 : 5 \| 2 \| felipe massa \| ferrari \| 70 \| 43.934 \| 6 \| 4 row 6 : 6 \| 11 \| jarno trulli \| toyota \| 70 \| 47.775 \| 14 \| 3 row 7 : 7 \| 17 \| rubens barrichello \| honda \| 70 \| 53.597 \| 9 \| 2 row 8 : 8 \| 15 \| sebastian vettel \| toro rosso-ferr \| 70 \| 54.12 \| 19 \| 1 row 9 : 9 \| 23 \| heikki kovalain \| mclaren-mercedes \| 70 \| 54.433 \| 7 \| None row 10 : 10 \| 7 \| nico rosberg \| williams-toyota \| 70 \| 54.749 \| 5 \| None row 11 : 11 \| 16 \| jenson button \| honda \| 70 \| +1:07.540 \| 20 \| None row 12 : 12 \| 10 \| mark webber \| red bull-renault \| 70 \| +1:11.299 \| 10 \| None row 13 : 13 \| 14 \| sebastien bourdais \| toro rosso-ferr \| 69 \| +1 lap \| 18 \| None row 14 : ret \| 21 \| giancarlo fisichella \| force india-ferrari \| 51 \| spun off \| 17 \| None row 15 : ret \| 8 \| kazuki nakajima \| williams-toyota \| 46 \| accident \| 12 \| None row 16 : ret \| 5 \| fernando alonso \| renault \| 44 \| spun off \| 4 \| None row 17 : ret \| 6 \| nelson piquet j \| renault \| 43 \| brakes \| 15 \| None row 18 : ret \| 1 \| kimi raikkonen \| ferrari \| 19 \| collision \| 3 \| None row 19 : ret \| 22 \| lewis hamilton \| mclaren-mercedes \| 19 \| collision \| 1 \| None row 20 : ret \| 20 \| adrian sutil \| force india-ferrari \| 13 \| gearbox \| 16 \| None ] Execute this SQL based on the above table: select driver where id = ( select id where driver = 'heikki kovalainen' ) + 1	nico rosberg
[ header: pos. \| rider \| semi-final points \| final points \| final heats \| total points row 1 : 1 \| jack milne \| 13 \| 15 \| (3,3,3,3,3) \| 28 row 2 : 2 \| wilbur lamoreaux \| 12 \| 13 \| (3,3,3,1,3) \| 25 row 3 : 3 \| cordy milne \| 11 \| 12 \| (2,3,2,3,2) \| 23 row 4 : 4 \| jack parker \| 11 \| 10 \| (2,3,1,2,2) \| 21 row 5 : 5 \| ginger lees \| 10 \| 9 \| (1,1,2,2,3) \| 19 row 6 : 6 \| frank charles \| 10 \| 7 \| (0,0,1,3,3) \| 17 row 7 : 7 \| lionel van praag \| 11 \| 6 \| (3,0,-,3,0) \| 17 row 8 : 8 \| bill kitchen \| 7 \| 9 \| (1,2,2,2,2) \| 16 row 9 : 9 \| george newton \| 11 \| 5 \| (3,0,0,0,2) \| 16 row 10 : 10 \| eric langton \| 12 \| 4 \| (1,0,0,3,0) \| 16 row 11 : 11 \| morian hansen \| 7 \| 8 \| (1,2,3,1,1) \| 15 row 12 : 12 \| eric chitty \| 11 \| 4 \| (0,2,0,1,1) \| 15 row 13 : 13 \| joe abbott \| 8 \| 6 \| (2,1,1,2,0) \| 14 row 14 : 14 \| arthur atkinson \| 8 \| 6 \| (2,0,2,1,1) \| 14 row 15 : 15 \| frank varey \| 8 \| 3 \| (0,1,1,0,1) \| 11 row 16 : 16 \| tommy croombs \| 6 \| 2 \| (0,2,0,0,0) \| 8 row 17 : 17 \| bob harrison \| 7 \| None \| None \| 7 row 18 : 18 \| alec statham \| 6 \| 0 \| (0) \| 6 ] Execute this SQL based on the above table: select count ( * ) where rider = 'frank charles'	1
[ header: date \| opponent \| score \| leading scorer \| attendance \| record row 1 : may 17 \| @ indiana \| 53-64 \| nakia sanford (14) \| 10533 \| 0-1 row 2 : may 31 \| vs. los angeles \| 59-70 \| monique currie (15) \| 11517 \| 2-3 row 3 : june 3 \| @ phoenix \| 93-98 \| alana beard (33) \| 7561 \| 2-4 row 4 : june 8 \| @ connecticut \| 79-87 \| monique currie (28) \| 7174 \| 2-6 row 5 : june 11 \| vs. sacramento \| 76-79 \| taj mcwilliam \| 6146 \| 2-7 row 6 : june 13 \| @ chicago \| 64-57 \| alana beard (22) \| 2600 \| 3-7 row 7 : june 18 \| @ houston \| 67-63 \| alana beard (23) \| 7054 \| 4-7 row 8 : june 20 \| vs. atlanta \| 72-61 \| alana beard (18) \| 7448 \| 5-7 row 9 : june 29 \| @ seattle \| 49-64 \| alana beard (16) \| 7965 \| 6-9 row 10 : july 1 \| @ sacramento \| 81-87 \| alana beard (31) \| 5705 \| 6-10 row 11 : july 8 \| vs. indiana \| 50-48 \| taj mcwilliam \| 7587 \| 7-11 row 12 : july 11 \| @ detroit \| 66-79 \| coco miller (15) \| 8596 \| 7-12 row 13 : july 13 \| vs. connecticut \| 69-64 \| nikki blue (13) \| 9610 \| 8-12 row 14 : july 17 \| @ new york \| 56-77 \| alana beard (15) \| 8344 \| 8-13 row 15 : july 20 \| vs. seattle \| 89-57 \| taj mcwilliam \| 8543 \| 9-14 row 16 : july 27 \| vs. connecticut \| 60-82 \| taj mcwilliam \| 9357 \| 10-16 row 17 : august 29 \| vs. chicago \| 75-79 \| alana beard (18) \| 10043 \| 10-17 row 18 : august 30 \| @ minnesota \| 78-92 \| alana beard (27) \| 6980 \| 10-18 row 19 : september 2 \| vs. indiana \| 68-79 \| alana beard (17) \| 7244 \| 10-19 row 20 : september 6 \| vs. detroit \| 69-84 \| monique currie (15) \| 9976 \| 10-20 row 21 : september 11 \| @ detroit \| 66-78 \| alana beard (16) monique \| 8145 \| 10-22 row 22 : september 13 \| @ connecticut \| 81-87 \| monique currie (23) \| 8652 \| 10-23 row 23 : september 14 \| vs. minnesota \| 70-96 \| alana beard (17) \| 10438 \| 10-24 ] Execute this SQL based on the above table: select leading scorer where date = 'september 11'	alana beard (16) monique currie (16)
[ header: pos \| no \| driver \| team \| laps \| time/retired \| grid \| points row 1 : 1 \| 5 \| will power \| team australia \| 73 \| 1:45:58.568 \| 7 \| 31 row 2 : 2 \| 21 \| neel jani \| pkv racing \| 73 \| 2.972 \| 9 \| 28 row 3 : 3 \| 9 \| justin wilson \| rsports \| 73 \| 3.48 \| 2 \| 25 row 4 : 4 \| 15 \| simon pagenaud \| team australia \| 73 \| 5.643 \| 4 \| 23 row 5 : 5 \| 19 \| bruno junqueira \| dale coyne racing \| 73 \| 20.738 \| 5 \| 21 row 6 : 6 \| 14 \| robert doornbos \| minardi team usa \| 72 \| + 1 lap \| 12 \| 19 row 7 : 7 \| 28 \| ryan dalziel \| pacific coast motorsports \| 72 \| + 1 lap \| 11 \| 17 row 8 : 8 \| 8 \| alex tagliani \| rsports \| 71 \| + 2 laps \| 6 \| 15 row 9 : 9 \| 1 \| sebastien bourdais \| n/h/l racing \| 67 \| contact \| 1 \| 16 row 10 : 10 \| 7 \| oriol servia \| forsythe racing \| 56 \| contact \| 3 \| 11 row 11 : 11 \| 2 \| graham rahal \| n/h/l racing \| 52 \| contact \| 15 \| 10 row 12 : 12 \| 4 \| dan clarke \| minardi team usa \| 43 \| contact \| 13 \| 9 row 13 : 13 \| 34 \| jan heylen \| conquest racing \| 1 \| contact \| 8 \| 8 row 14 : 14 \| 3 \| paul tracy \| forsythe racing \| 0 \| contact \| 10 \| 7 row 15 : 15 \| 22 \| tristan gommendy \| pkv racing \| 0 \| contact \| 14 \| 6 row 16 : 16 \| 11 \| katherine legge \| dale coyne racing \| 0 \| contact \| 16 \| 5 row 17 : 17 \| 29 \| alex figge \| pacific coast motorsports \| 0 \| contact \| 17 \| 4 ] Execute this SQL based on the above table: select driver where grid < ( select grid where driver = 'ryan dalziel' ) order by grid desc limit 1	paul tracy
[ header: region \| population \| area \| density row 1 : danish capital region \| 1823109 \| 2,864 km2 \| 636.5/km2 row 2 : remainder \| 608036 \| 6,970 km2 \| 87.2/km2 row 3 : total for danish part: \| 2431145 \| 9,834 km2 \| 247.2/km2 row 4 : south skane \| 683886 \| 2,680 km2 \| 255.1/km2 row 5 : west skane \| 305982 \| 2,730 km2 \| 112.1/km2 row 6 : north-east skane \| 162829 \| 3,705 km2 \| 43.9/km2 row 7 : total for swedish part: \| 1125697 \| 11,035 km2 \| 102.0/km2 row 8 : grand total \| 3583842 \| 20,869 km2 \| 171.7/km2 ] Execute this SQL based on the above table: select region where density <= 1816	danish capital region, remainder, total for danish part:, south skane, west skane, north-east skane, total for swedish part:, grand total
[ header: rank \| group \| name \| nationality \| 2.05 \| 2.15 \| 2.19 \| 2.23 \| 2.26 \| result \| notes row 1 : 1 \| a \| nicola ciotti \| italy \| None \| o \| o \| o \| o \| 2.26 \| q row 2 : 1 \| a \| linus thornblad \| sweden \| None \| o \| o \| o \| o \| 2.26 \| q row 3 : 1 \| b \| oskari frosen \| finland \| None \| o \| o \| o \| o \| 2.26 \| q row 4 : 1 \| b \| stefan holm \| sweden \| None \| o \| o \| o \| o \| 2.26 \| q row 5 : 1 \| b \| svatoslav ton \| czech republic \| None \| o \| o \| o \| o \| 2.26 \| q row 6 : 7 \| a \| niki palli \| israel \| o \| o \| o \| o \| xo \| 2.26 \| q row 7 : 7 \| b \| yaroslav rybakov \| russia \| None \| o \| o \| o \| xo \| 2.26 \| q row 8 : 9 \| b \| giulio ciotti \| italy \| None \| o \| xo \| o \| xo \| 2.26 \| q row 9 : 11 \| a \| ivan ukhov \| russia \| None \| None \| None \| o \| None \| 2.23 \| q row 10 : 11 \| a \| andrea bettinelli \| italy \| None \| o \| o \| o \| xxx \| 2.23 \| q row 11 : 14 \| a \| martyn bernard \| united kingdom \| None \| o \| xxo \| xo \| xxx \| 2.23 \| None row 12 : 15 \| b \| peter horak \| slovakia \| None \| o \| o \| xxo \| xxx \| 2.23 \| None row 13 : 15 \| b \| normunds pupols \| latvia \| None \| o \| o \| xxo \| xxx \| 2.23 \| None row 14 : 17 \| a \| germaine mason \| united kingdom \| None \| o \| o \| xxx \| None \| 2.19 \| None row 15 : 17 \| b \| rozle prezelj \| slovenia \| o \| o \| o \| xxx \| None \| 2.19 \| None row 16 : 19 \| a \| heikki tanel \| finland \| None \| xo \| o \| xxx \| None \| 2.19 \| None row 17 : 19 \| b \| andriy sokolovskyy \| ukraine \| None \| xo \| o \| xxx \| None \| 2.19 \| None row 18 : 21 \| b \| mickael hanany \| france \| None \| xo \| xo \| xxx \| None \| 2.19 \| None row 19 : 22 \| b \| javier bermejo \| spain \| o \| o \| xxx \| None \| None \| 2.15 \| None row 20 : 23 \| a \| osku torro \| finland \| None \| xo \| x- \| x \| None \| 2.15 \| None row 21 : 24 \| a \| jan-peter larsen \| netherlands \| o \| xxx \| None \| None \| None \| 2.05 \| None row 22 : None \| b \| adam scarr \| united kingdom \| None \| xxx \| None \| None \| None \| nm \| None ] Execute this SQL based on the above table: select nationality order by id desc limit 1	united kingdom
[ 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 ( regular season ) where division = 4	8
[ header: no. \| name \| public access \| location & map links \| area ha \| area acres \| references row 1 : 1 \| aversley wood \| \| 52°25′25′′n 0° \| 61 \| 151 \| sssi wt row 2 : 2 \| balsham wood \| \| 52°07′19′′n 0° \| 35 \| 85 \| sssi row 3 : 3 \| bedford purlieus nnr \| \| 52°35′00′′n 0° \| 208 \| 514 \| sssi nnr row 4 : 4 \| brampton wood \| \| 52°19′02′′n 0° \| 132 \| 326 \| sssi bcnp row 5 : 7 \| gamlingay wood \| \| 52°09′57′′n 0° \| 46 \| 114 \| sssi bcnp row 6 : 8 \| hardwick wood \| \| 52°11′57′′n 0° \| 17 \| 42 \| sssi bcnp row 7 : 9 \| hayley wood \| \| 52°09′33′′n 0° \| 52 \| 129 \| sssi bcnp row 8 : 11 \| langley wood \| \| 52°03′24′′n 0° \| 31 \| 77 \| sssi row 9 : 13 \| madingley wood \| \| 52°13′00′′n 0° \| 15 \| 38 \| sssi row 10 : 14 \| monks wood nnr \| \| 52°24′18′′n 0° \| 170 \| 420 \| sssi nnr row 11 : 15 \| out and plunder woods \| \| 52°10′03′′n 0° \| 28 \| 69 \| sssi row 12 : 16 \| over and lawn woods \| \| 52°06′35′′n 0° \| 45 \| 111 \| sssi row 13 : 18 \| ten wood \| \| 52°10′31′′n 0° \| 17 \| 42 \| sssi row 14 : 20 \| warboy's and wistow wood \| \| 52°25′11′′n 0° \| 42 \| 103 \| sssi row 15 : 21 \| waresley wood \| \| 52°10′37′′n 0° \| 62 \| 153 \| sssi ] Execute this SQL based on the above table: select count ( * ) where area acres < 514	14
[ header: position \| driver \| no. \| car \| entrant \| rd 1 \| rd 2 \| rd 3 \| rd 4 \| rd 5 \| rd 6 \| rd 7 \| rd 8 \| total row 1 : 1 \| greg crick \| 3 \| dodge viper gts ac \| crickcars.com \| 98 \| 108 \| 91 \| 72 \| 98 \| 96 \| 60 \| 90 \| 713 row 2 : 5 \| sven burchartz \| 90 \| porsche 996 gt3 \| cargraphic ag \| 32 \| 18 \| None \| 63 \| 57 \| 69 \| 114 \| 85.5 \| 438.5 row 3 : 6 \| david wall \| 38 \| porsche 996 gt3 r \| rds \| 32 \| 37.5 \| 63 \| None \| 80 \| 33 \| None \| 117 \| 362.5 row 4 : 7 \| john teulan \| 88 \| ferrari 360 challenge ferrari f430 challenge \| industry central - stahlwille \| 47 \| 48 \| 61 \| 77 \| None \| 48 \| 48 \| 19.5 \| 348.5 row 5 : 8 \| max twigg \| 18 & 17 \| porsche 996 gt3 \| twigg waste management luxton \| 45 \| 33 \| 51 \| 14 \| 37 \| 57 \| None \| 66 \| 303 row 6 : 9 \| d'arcy russell \| 7 \| dodge viper gts ac \| dupont \| 34 \| 31.5 \| None \| 23 \| None \| 117 \| None \| 60 \| 265.5 row 7 : 14 \| paul tressider \| 23 \| porsche 996 gt3 cup car \| wynn tressider management \| 29 \| 22.5 \| 49 \| None \| None \| 45 \| None \| 43.5 \| 189 row 8 : 16 \| damien flack \| 55 \| porsche 996 gt3 cup car \| roock \| None \| None \| 69 \| 12 \| None \| 54 \| None \| 25.5 \| 160.5 row 9 : 18 \| bill pye \| 44 \| porsche 996 gt3 cup car \| autohaus hamilton property solutions group \| None \| 58.5 \| None \| None \| None \| 39 \| None \| 43.5 \| 141 row 10 : 19 \| anthony skinner \| 46 \| porsche 996 gt3 \| travelplan ski holiday \| 52 \| 18 \| None \| None \| None \| None \| 69 \| None \| 139 row 11 : 20 \| andrew luxton \| 17 & 18 \| porsche 996 gt3 cup car \| luxton plant twigg waste \| None \| None \| None \| None \| None \| 57 \| None \| 66 \| 123 row 12 : 22 \| ian palmer \| 20 \| honda nsx \| instant fountains paluky ho \| 25 \| None \| 33 \| 53 \| None \| None \| None \| None \| 111 row 13 : 24 \| kevin miller \| 2 \| ferrari f430 \| property solutions group \| None \| None \| None \| None \| None \| None \| 63 \| 36 \| 99 row 14 : 26 \| peter hackett \| 5 \| lamborghini diablo gt \| team lamborghini australia \| None \| 91.5 \| None \| None \| None \| None \| None \| None \| 91.5 row 15 : 28 \| graeme cook \| 91 \| porsche 996 gt3 cup car \| container solutions \| 27 \| None \| None \| None \| 58 \| None \| None \| None \| 85 row 16 : 32 \| stuart kostera \| 70 \| porsche 996 gt3 cup car \| phr scuderia \| None \| None \| None \| 73 \| None \| None \| None \| None \| 73 row 17 : 34 \| justin levis \| 78 \| lotus elise motorsport 200 \| cue autohaus hamilton \| None \| 24 \| None \| None \| None \| 39 \| None \| None \| 63 ] Execute this SQL based on the above table: select count ( entrant ) where entrant = 'team lamborghini australia'	1
[ header: position \| club \| played \| points \| wins \| draws \| losses \| goals for \| goals against \| goal difference row 1 : 1 \| malaga cf \| 42 \| 79 \| 22 \| 13 \| 7 \| 72 \| 47 \| 25 row 2 : 2 \| atletico de madrid b 1 \| 42 \| 74 \| 21 \| 11 \| 10 \| 73 \| 51 \| 22 row 3 : 3 \| cd numancia \| 42 \| 73 \| 21 \| 10 \| 11 \| 68 \| 40 \| 28 row 4 : 4 \| sevilla fc \| 42 \| 71 \| 20 \| 11 \| 11 \| 66 \| 50 \| 16 row 5 : 5 \| rayo vallecano \| 42 \| 71 \| 19 \| 14 \| 9 \| 64 \| 49 \| 15 row 6 : 6 \| ud las palmas \| 42 \| 68 \| 17 \| 17 \| 8 \| 57 \| 38 \| 19 row 7 : 7 \| cd toledo \| 42 \| 65 \| 18 \| 11 \| 13 \| 54 \| 49 \| 5 row 8 : 8 \| sd compostela \| 42 \| 61 \| 16 \| 13 \| 13 \| 60 \| 53 \| 7 row 9 : 9 \| sporting de gijon \| 42 \| 59 \| 16 \| 11 \| 15 \| 47 \| 47 \| 0 row 10 : 10 \| cp merida \| 42 \| 59 \| 15 \| 14 \| 13 \| 48 \| 41 \| 7 row 11 : 11 \| ue lleida \| 42 \| 59 \| 15 \| 14 \| 13 \| 52 \| 50 \| 2 row 12 : 12 \| recreativo de huelva \| 42 \| 58 \| 14 \| 16 \| 12 \| 40 \| 35 \| 5 row 13 : 13 \| ca osasuna \| 42 \| 57 \| 15 \| 12 \| 15 \| 44 \| 51 \| -7 row 14 : 14 \| cd badajoz \| 42 \| 51 \| 12 \| 15 \| 15 \| 35 \| 39 \| -4 row 15 : 15 \| albacete \| 42 \| 50 \| 12 \| 14 \| 16 \| 38 \| 43 \| -5 row 16 : 16 \| cd logrones \| 42 \| 48 \| 12 \| 12 \| 18 \| 48 \| 57 \| -9 row 17 : 17 \| cd leganes \| 42 \| 47 \| 10 \| 17 \| 15 \| 36 \| 44 \| -8 row 18 : 18 \| sd eibar \| 42 \| 47 \| 13 \| 8 \| 21 \| 42 \| 56 \| -14 row 19 : 19 \| mallorca b \| 42 \| 46 \| 12 \| 10 \| 20 \| 52 \| 64 \| -12 row 20 : 20 \| barcelona b \| 42 \| 44 \| 13 \| 5 \| 24 \| 51 \| 68 \| -17 row 21 : 21 \| hercules cf \| 42 \| 40 \| 10 \| 10 \| 22 \| 38 \| 66 \| -28 row 22 : 22 \| cd ourense \| 42 \| 27 \| 7 \| 6 \| 29 \| 35 \| 82 \| -47 ] Execute this SQL based on the above table: select count ( * ) where club = 'cd toledo' and goals for < 51	0
[ header: rank \| bib \| country \| athletes \| run 1 \| run 2 \| run 3 \| run 4 \| total \| behind row 1 : None \| 1 \| canada (can-1) \| kaillie humphries heat \| 57.39 \| 57.73 \| 57.57 \| 57.92 \| 3:50.61 \| None row 2 : None \| 2 \| united states (usa-1) \| elana meyers laury \| 57.26 \| 57.63 \| 57.69 \| 58.13 \| 3:50.71 \| 0.1 row 3 : None \| 3 \| united states (usa-2) \| jamie greubel aja evan \| 57.45 \| 58 \| 58 \| 58.16 \| 3:51.61 \| 1 row 4 : 4 \| 9 \| netherlands (ned-1) \| esme kamphuis jud \| 57.94 \| 58.1 \| 58.2 \| 58.03 \| 3:52.27 \| 1.66 row 5 : 5 \| 4 \| germany (ger-1) \| sandra kiriasis \| 57.95 \| 58.08 \| 58.06 \| 58.2 \| 3:52.29 \| 1.68 row 6 : 7 \| 5 \| germany (ger-2) \| cathleen martini christ \| 57.99 \| 58.42 \| 58.17 \| 58.13 \| 3:52.71 \| 2.1 row 7 : 8 \| 8 \| switzerland (sui- \| fabienne meyer tanja may \| 58.18 \| 58.34 \| 58.29 \| 58.39 \| 3:53.20 \| 2.59 row 8 : 9 \| 11 \| russia (rus-1) \| olga stulneva \| 58.03 \| 58.24 \| 58.45 \| 58.74 \| 3:53.46 \| 2.85 row 9 : 10 \| 6 \| germany (ger-3) \| anja schneiderheinze stephan \| 58.17 \| 58.3 \| 58.53 \| 58.74 \| 3:53.74 \| 3.13 row 10 : 11 \| 7 \| united states (usa-3) \| jazmine fenlator lolo \| 58.27 \| 58.46 \| 58.5 \| 58.74 \| 3:53.97 \| 3.36 row 11 : 12 \| 12 \| great britain (gbr- \| paula walker rebekah \| 58.36 \| 58.4 \| 58.88 \| 58.6 \| 3:54.24 \| 3.63 row 12 : 13 \| 13 \| canada (can-2) \| jennifer ciochetti \| 58.43 \| 58.63 \| 58.72 \| 58.71 \| 3:54.49 \| 3.88 row 13 : 14 \| 14 \| australia (aus-1) \| astrid radjenovic jan \| 58.62 \| 58.5 \| 59.06 \| 58.37 \| 3:54.55 \| 3.94 row 14 : 15 \| 15 \| austria (aut-1) \| christina hengster viol \| 58.59 \| 58.56 \| 58.73 \| 58.91 \| 3:54.79 \| 4.18 row 15 : 16 \| 17 \| russia (rus-2) \| nadezhda serge \| 58.8 \| 58.69 \| 59.27 \| 59.1 \| 3:55.86 \| 5.25 row 16 : 17 \| 16 \| romania (rou-1) \| maria constantin andreea grecu \| 59.04 \| 59.08 \| 59.38 \| 59.09 \| 3:56.59 \| 5.98 ] Execute this SQL based on the above table: select country order by bib desc limit 1	russia (rus-2)
[ header: year \| group \| award \| result \| notes row 1 : 1994 \| venice film festival \| best actor \| won \| before the rain (1994 film) row 2 : 1996 \| new zealand film and tv \| best foreign performer \| won \| broken english (1996 film) row 3 : 2006 \| monaco international film festival \| best actor \| won \| short order row 4 : 2007 \| rome film fest \| best actor \| won \| fugitive pieces (film) row 5 : 2008 \| satellite awards \| best actor in a supporting role \| nominated \| fugitive pieces (film) row 6 : 2008 \| vancouver film critics circle \| best supporting actor in a canadian film \| nominated \| fugitive pieces (film) row 7 : 2009 \| genie awards \| best performance by an actor in a supporting role \| nominated \| fugitive pieces (film) row 8 : 2012 \| tetouan international mediterra \| best actor \| won \| io sono li ] Execute this SQL based on the above table: select count ( distinct notes )	5
[ header: season \| tier \| division \| place row 1 : 1928-84 \| 5 \| regional \| None row 2 : 1984/85 \| 4 \| 3a \| 6th row 3 : 1985/86 \| 4 \| 3a \| 9th row 4 : 1986/87 \| 4 \| 3a \| 11th row 5 : 1987/88 \| 4 \| 3a \| 15th row 6 : 1988/89 \| 4 \| 3a \| 4th row 7 : 1989/90 \| 4 \| 3a \| 9th row 8 : 1990/91 \| 4 \| 3a \| 9th row 9 : 1991/92 \| 4 \| 3a \| 5th row 10 : 1992/93 \| 4 \| 3a \| 17th row 11 : 1993/94 \| 4 \| 3a \| 7th row 12 : 1994/95 \| 4 \| 3a \| 4th row 13 : 1995/96 \| 4 \| 3a \| 1st row 14 : 1996/97 \| 3 \| 2ab \| 19th row 15 : 1997/98 \| 4 \| 3a \| 2nd ] Execute this SQL based on the above table: select count ( division ) where tier = 4	13
[ header: season \| level \| division \| section \| position \| movements row 1 : 1993 \| tier 3 \| division 2 \| ostra svealand \| 1st \| promoted row 2 : 1994 \| tier 2 \| division 1 \| norra \| 11th \| relegation playoffs row 3 : 1995 \| tier 2 \| division 1 \| norra \| 4th \| None row 4 : 1996 \| tier 2 \| division 1 \| norra \| 11th \| relegation playoffs - re row 5 : 1997 \| tier 3 \| division 2 \| ostra svealand \| 3rd \| None row 6 : 1998 \| tier 3 \| division 2 \| ostra svealand \| 7th \| None row 7 : 1999 \| tier 3 \| division 2 \| ostra svealand \| 3rd \| None row 8 : 2000 \| tier 3 \| division 2 \| ostra svealand \| 9th \| None row 9 : 2001 \| tier 3 \| division 2 \| ostra svealand \| 7th \| None row 10 : 2002 \| tier 3 \| division 2 \| ostra svealand \| 2nd \| None row 11 : 2003 \| tier 3 \| division 2 \| ostra svealand \| 3rd \| None row 12 : 2004 \| tier 3 \| division 2 \| ostra svealand \| 6th \| None row 13 : 2005 \| tier 3 \| division 2 \| ostra svealand \| 4th \| promoted row 14 : 2006 \| tier 3 \| division 1 \| norra \| 5th \| None row 15 : 2007 \| tier 3 \| division 1 \| sodra \| 14th \| relegated ] Execute this SQL based on the above table: select section where division = 1	norra, norra, norra, norra, sodra
[ header: \| name \| took office \| left office \| party \| notes/events row 1 : 11 \| william mccreery \| march 4, 1803 \| march 3, 1809 \| democratic republican \| None row 2 : 12 \| alexander mckim \| march 4, 1809 \| march 3, 1815 \| democratic republican \| None row 3 : 13 \| william pinkney \| march 4, 1815 \| april 18, 1816 \| democratic republican \| resigned to accept position as minister p row 4 : 14 \| peter little \| september 2, 1816 \| march 3, 1823 \| democratic republican \| None row 5 : 14 \| peter little \| march 4, 1823 \| march 3, 1825 \| jacksonian dr \| None row 6 : 14 \| peter little \| march 4, 1825 \| march 3, 1829 \| adams \| None row 7 : 15 \| benjamin c. howard \| march 4, 1829 \| march 3, 1833 \| jacksonian \| None ] Execute this SQL based on the above table: select took office where took office in ( 'march 4, 1829' , 'march 4, 1803' ) order by desc limit 1	march 4, 1829
[ header: institution \| location \| enrollment \| nickname \| varsity sports \| rugby since \| head coach row 1 : clemson university \| clemson, south carolina \| 20576 \| tigers \| 19 \| 1967 \| justin hickey row 2 : maryland \| college park, maryland \| 37641 \| terrapins \| 20 \| 1968 \| jeff soeken row 3 : navy \| annapolis, maryland \| 4576 \| midshipmen \| 30 \| 1963 \| mike flanagan row 4 : north carolina \| chapel hill, north carolina \| 29340 \| tar heels \| 28 \| 1966 \| pete earsman row 5 : north carolina state \| raleigh, north carolina \| 34767 \| wolfpack \| 25 \| 1965 \| jim latham row 6 : university of virginia \| charlottesville, virginia \| 20895 \| cavaliers \| 25 \| 1961 \| jon roberts row 7 : virginia tech \| blacksburg, virginia \| 30379 \| hokies \| 21 \| 1891 / 1968 \| andy richards row 8 : wake forest \| winston-salem, north car \| 7079 \| demon deacons \| 18 \| 1973 \| patrick kane ] Execute this SQL based on the above table: select head coach where location = 'annapolis, maryland' and varsity sports = 30	mike flanagan
[ header: season \| north \| south \| east \| west row 1 : 2000-01 \| ehc regensburg \| sb rosenheim \| deggendorfer sc ii \| ev landsberg row 2 : 2001-02 \| bts bayreuth \| tus geretsried i \| deggendorfer sc ii \| tsv kottern row 3 : 2002-03 \| ec bayreuth \| sc riessersee i \| tsv erding jets \| tsv peißenberg row 4 : 2003-04 \| ehc ingolstadt ii \| esc holzkirchen \| ehf passau \| tsv kottern row 5 : 2004-05 \| ver selb \| eac bad reichenhall \| se freising \| erc lechbruck row 6 : 2005-06 \| ec bad kissingen \| ehc munchen ii \| esv waldkirchen \| ev bad worishofen row 7 : 2006-07 \| ehc bayreuth \| esc geretsried \| esv gebensbach \| vfl denklingen row 8 : 2007-08 \| ec amberg \| sc gaißach \| ev bruckberg \| esc kempten row 9 : 2008-09 \| erc ingolstadt \| tsv schliersee \| esv waldkirchen \| 1. ec senden ] Execute this SQL based on the above table: select season where south = 'esc geretsried'	2006-07
[ header: year \| song \| u.s. \| u.s. r&b \| u.s. ac \| uk \| album row 1 : 1986 \| "strollin' on" \| None \| None \| None \| 32 \| intentions row 2 : 1986 \| "in the springtime" \| None \| None \| None \| 54 \| you're safe row 3 : 1986 \| "crazy love" \| None \| None \| None \| 67 \| intentions row 4 : 1987 \| "let me know" \| None \| None \| None \| 49 \| intentions row 5 : 1987 \| "woman in you" \| None \| None \| None \| None \| intentions row 6 : 1987 \| "some guys have all the luck" \| None \| None \| None \| 12 \| None row 7 : 1989 \| "wild world" \| 25 \| None \| None \| 5 \| maxi priest row 8 : 1990 \| "human work of art" \| None \| None \| None \| 71 \| bonafide row 9 : 1990 \| "close to you" \| 1 \| 2 \| 15 \| 7 \| bonafide row 10 : 1990 \| "just a little bit longer" \| 62 \| 30 \| None \| 62 \| bonafide row 11 : 1991 \| "space in my heart" \| None \| 76 \| None \| None \| bonafide row 12 : 1991 \| "set the night to music" (with \| 6 \| 45 \| 2 \| None \| set the night to music (roberta row 13 : 1992 \| "groovin' in the midnight" \| 63 \| 29 \| None \| 50 \| fe real row 14 : 1993 \| "one more chance" \| None \| 77 \| None \| 40 \| fe real row 15 : 1996 \| "that girl" (with shaggy) \| 20 \| 34 \| None \| 15 \| man with the fun row 16 : 1996 \| "watching the world go by" \| None \| None \| None \| 36 \| man with the fun row 17 : 2009 \| "2 play feat maxi priest - that \| None \| None \| None \| None \| None ] Execute this SQL based on the above table: select count ( * ) where album = 'maxi priest'	1
[ header: place \| position \| number \| name \| league one \| fa cup \| league cup \| football league trophy \| total row 1 : 1 \| mf \| 4 \| luke summerfield \| 5 \| 0 \| 0 \| 0 \| 5 row 2 : 2 \| mf \| 17 \| paul parry \| 3 \| 0 \| 1 \| 0 \| 4 row 3 : 3 \| fw \| 24 \| tom eaves \| 3 \| 0 \| 0 \| 0 \| 3 row 4 : 4 \| mf \| 11 \| jon taylor \| 1 \| 0 \| 0 \| 1 \| 2 row 5 : 4 \| df \| 5 \| darren jones \| 2 \| 0 \| 0 \| 0 \| 2 row 6 : 4 \| mf \| 23 \| adam reach \| 2 \| 0 \| 0 \| 0 \| 2 row 7 : 4 \| mf \| 22 \| ryan woods \| 2 \| 0 \| 0 \| 0 \| 2 row 8 : 4 \| fw \| 26 \| curtis main \| 2 \| 0 \| 0 \| 0 \| 2 row 9 : 5 \| mf \| 2 \| jermaine grandison \| 1 \| 0 \| 0 \| 0 \| 1 row 10 : 5 \| mf \| 8 \| dave mcallister \| 1 \| 0 \| 0 \| 0 \| 1 row 11 : 5 \| fw \| 15 \| aaron wildig \| 1 \| 0 \| 0 \| 0 \| 1 row 12 : 5 \| fw \| 29 \| asa hall \| 1 \| 0 \| 0 \| 0 \| 1 row 13 : 5 \| fw \| 7 \| gozie ugwu \| 1 \| 0 \| 0 \| 0 \| 1 row 14 : 5 \| df \| 18 \| connor goldson \| 1 \| 0 \| 0 \| 0 \| 1 row 15 : 5 \| mf \| 10 \| nicky wroe \| 1 \| 0 \| 0 \| 0 \| 1 row 16 : 5 \| fw \| 9 \| tom bradshaw \| 1 \| 0 \| 0 \| 0 \| 1 ] Execute this SQL based on the above table: select name where id = 12	asa hall
[ header: pos \| no \| driver \| constructor \| time \| gap row 1 : 1 \| 1 \| mika hakkinen \| mclaren-mercedes \| 1:24.804 \| None row 2 : 2 \| 3 \| michael schumacher \| ferrari \| 1:25.223 \| +0.419 row 3 : 3 \| 2 \| david coulthard \| mclaren-mercedes \| 1:25.594 \| +0.790 row 4 : 4 \| 4 \| eddie irvine \| ferrari \| 1:25.677 \| +0.873 row 5 : 5 \| 8 \| heinz-harald frent \| jordan-mugen-honda \| 1:25.991 \| +1.187 row 6 : 6 \| 7 \| damon hill \| jordan-mugen-honda \| 1:26.099 \| +1.295 row 7 : 7 \| 16 \| rubens barrichello \| stewart-ford \| 1:26.194 \| +1.390 row 8 : 8 \| 6 \| ralf schumacher \| williams-supertec \| 1:26.438 \| +1.634 row 9 : 9 \| 22 \| jacques villeneuve \| bar-supertec \| 1:26.719 \| +1.915 row 10 : 10 \| 11 \| jean alesi \| sauber-petronas \| 1:26.761 \| +1.957 row 11 : 11 \| 17 \| johnny herbert \| stewart-ford \| 1:26.873 \| +2.069 row 12 : 12 \| 12 \| pedro diniz \| sauber-petronas \| 1:27.196 \| +2.392 row 13 : 13 \| 5 \| alessandro zanardi \| williams-supertec \| 1:27.223 \| +2.419 row 14 : 14 \| 19 \| jarno trulli \| prost-peugeot \| 1:27.227 \| +2.423 row 15 : 15 \| 18 \| olivier panis \| prost-peugeot \| 1:27.543 \| +2.739 row 16 : 16 \| 23 \| ricardo zonta \| bar-supertec \| 1:27.699 \| +2.895 row 17 : 17 \| 9 \| giancarlo fisichella \| benetton-playlife \| 1:27.857 \| +3.053 row 18 : 18 \| 10 \| alexander wurz \| benetton-playlife \| 1:28.010 \| +3.206 row 19 : 19 \| 15 \| toranosuke takagi \| arrows \| 1:28.037 \| +3.233 row 20 : 20 \| 14 \| pedro de la rosa \| arrows \| 1:28.148 \| +3.344 row 21 : 21 \| 20 \| luca badoer \| minardi-ford \| 1:28.695 \| +3.891 row 22 : 22 \| 21 \| marc gene \| minardi-ford \| 1:28.772 \| +3.968 ] Execute this SQL based on the above table: select count ( * )	22
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 2001 \| asian junior championships \| bandar seri begawan, brun \| 1st \| 110 m hurdles \| 14.05 row 2 : 2002 \| world junior championships \| kingston, jamaica \| 2nd \| 110 m hurdles \| 13.58 row 3 : 2002 \| asian games \| busan, south korea \| 4th \| 110 m hurdles \| 13.92 row 4 : 2003 \| world indoor championships \| birmingham, united kingdom \| 18th (h) \| 60 m hurdles \| 7.81 row 5 : 2003 \| world championships \| paris, france \| 6th \| 110 m hurdles \| 13.55 row 6 : 2003 \| asian championships \| manila, philippines \| 1st \| 110 m hurdles \| 13.5 row 7 : 2004 \| world indoor championships \| budapest, hungary \| 17th (h) \| 60 m hurdles \| 7.75 row 8 : 2004 \| olympic games \| athens, greece \| 33rd (h) \| 110 m hurdles \| 13.68 row 9 : 2005 \| world championships \| helsinki, finland \| 9th (sf) \| 110 m hurdles \| 13.44 row 10 : 2005 \| asian championships \| incheon, south korea \| 2nd \| 110 m hurdles \| 13.44 row 11 : 2006 \| world indoor championships \| moscow, russia \| 8th (sf) \| 60 m hurdles \| 7.63 row 12 : 2006 \| asian games \| doha, qatar \| 2nd \| 110 m hurdles \| 13.28 row 13 : 2007 \| world championships \| osaka, japan \| 5th \| 110 m hurdles \| 13.19 row 14 : 2008 \| world indoor championships \| valencia, spain \| 9th (sf) \| 60 m hurdles \| 7.65 row 15 : 2008 \| olympic games \| beijing, china \| 8th (sf) \| 110 m hurdles \| 13.42 row 16 : 2009 \| asian championships \| guangzhou, china \| 2nd \| 110 m hurdles \| 13.67 row 17 : 2009 \| world championships \| berlin, germany \| 8th (sf) \| 110 m hurdles \| 13.42 row 18 : 2010 \| world indoor championships \| doha, qatar \| 16th (sf) \| 60 m hurdles \| 7.82 row 19 : 2010 \| asian games \| guangzhou, china \| 2nd \| 110 m hurdles \| 13.38 row 20 : 2011 \| asian championships \| kobe, japan \| 2nd \| 110 m hurdles \| 13.56 row 21 : 2011 \| world championships \| daegu, south korea \| 9th (sf) \| 110 m hurdles \| 13.57 row 22 : 2012 \| world indoor championships \| istanbul, turkey \| 24th (h) \| 60m hurdles \| 8.15 row 23 : 2012 \| olympic games \| london, united kingdom \| 37th (h) \| 110 m hurdles \| 13.78 ] Execute this SQL based on the above table: select position order by notes desc limit 1	1st
[ header: player \| year \| round \| result \| opponent row 1 : raymond van barneveld \| 2009 \| quarter-final \| won \| jelle klaasen row 2 : raymond van barneveld \| 2010 \| 2nd round \| won \| brendan dolan row 3 : adrian lewis \| 2011 \| final \| won \| gary anderson row 4 : dean winstanley \| 2013 \| 2nd round \| lost \| vincent van der voort row 5 : michael van gerwen \| 2013 \| semi final \| won \| james wade row 6 : terry jenkins \| 2014 \| 1st round \| lost \| per laursen row 7 : kyle anderson \| 2014 \| 1st round \| lost \| ian white ] Execute this SQL based on the above table: select ( select player where result = 'won' ) - ( select player where result = 'won' )	0
[ header: institution \| location \| established \| gained university status \| vice-chancellor \| total number of students \| research funding (£,000) row 1 : birkbeck, university of lon \| london \| 1823 \| 1920 \| professor david latchman \| 19020 \| 9985 row 2 : university of east anglia \| norwich \| 1963 \| 1963 \| professor edward acton \| 19585 \| 16482 row 3 : university of essex \| colchester \| 1964 \| 1964 \| professor anthony forster \| 11690 \| 9967 row 4 : goldsmiths, university of london \| london \| 1891 \| 1904 \| dr pat loughrey \| 7615 \| 8539 row 5 : institute of education, university of london \| london \| 1902 \| 1932 \| professor chris husbands \| 7215 \| 7734 row 6 : university of lancaster \| lancaster \| 1964 \| 1964 \| professor mark smith \| 12695 \| 18640 row 7 : university of leicester \| leicester \| 1921 \| 1957 \| professor robert burgess \| 16160 \| 22225 row 8 : loughborough university \| loughborough \| 1909 \| 1966 \| professor robert allison \| 17825 \| 22398 row 9 : royal holloway, university of lon \| egham \| 1849 \| 1900 \| professor paul layzell (principal \| 7620 \| 13699 row 10 : soas, university of london \| london \| 1916 \| 1916 \| professor paul webley \| 4525 \| 7238 row 11 : university of sussex \| brighton \| 1961 \| 1961 \| professor michael farthing \| 12415 \| 16196 ] Execute this SQL based on the above table: select count ( institution ) where vice-chancellor = 'professor anthony forster'	1
[ header: rank \| mountain peak \| mountain range \| elevation \| prominence \| isolation \| location row 1 : 1 \| mount whitney \| sierra nevada \| 14,505 ft 4421 m \| 10,080 ft 3072 m \| 1,646 mi 2,649 km \| 36°34′43′′n 118° row 2 : 2 \| mount williamson \| sierra nevada \| 14,379 ft 4383 m \| 1,677 ft 511 m \| 5.4 mi 8.7 km \| 36°39′21′′n 118° row 3 : 4 \| north palisade \| sierra nevada \| 14,248 ft 4343 m \| 2,894 ft 882 m \| 32 mi 52 km \| 37°05′39′′n 118° row 4 : 5 \| mount shasta \| cascade range \| 14,179 ft 4322 m \| 9,832 ft 2997 m \| 335 mi 539 km \| 41°24′33′′n 122° row 5 : 6 \| mount humphreys \| sierra nevada \| 13,992 ft 4265 m \| 2,563 ft 781 m \| 15 mi 24 km \| 37°16′14′′n 118° row 6 : 7 \| mount keith \| sierra nevada \| 13,982 ft 4262 m \| 1,936 ft 590 m \| 3.1 mi 5.0 km \| 36°42′00′′n 118° row 7 : 10 \| mount morgan \| sierra nevada \| 13,758 ft 4193 m \| 2,648 ft 807 m \| 10 mi 16 km \| 37°24′19′′n 118° row 8 : 11 \| mount gabb \| sierra nevada \| 13,747 ft 4190 m \| 2,601 ft 793 m \| 4.3 mi 6.9 km \| 37°22′37′′n 118° row 9 : 12 \| mount tom \| sierra nevada \| 13,657 ft 4163 m \| 1,992 ft 607 m \| 4.8 mi 7.7 km \| 37°22′34′′n 119° row 10 : 13 \| mount dubois \| white mountains \| 13,565 ft 4135 m \| 2,339 ft 713 m \| 10 mi 16 km \| 37°47′00′′n 118° row 11 : 15 \| red slate mountain \| sierra nevada \| 13,162 ft 4012 m \| 1,736 ft 529 m \| 8 mi 13 km \| 37°30′27′′n 118° row 12 : 16 \| mount ritter \| sierra nevada \| 13,149 ft 4008 m \| 3,990 ft 1216 m \| 22 mi 35 km \| 37°41′21′′n 119° ] Execute this SQL based on the above table: select count ( * ) where mountain peak < ( select mountain peak where rank = 5 and mountain range = 'sierra nevada' )	0
[ header: name \| mark \| system \| from \| to \| successor \| notes row 1 : alexandria and frede \| None \| rf&p \| 1872 \| 1890 \| baltimore and potomac railroad \| None row 2 : alexandria and washington railroad \| None \| rf&p \| 1854 \| 1872 \| alexandria and frede \| None row 3 : chesapeake and ohi \| c&o, co \| c&o \| 1891 \| 1987 \| csx transportation \| None row 4 : consolidated rail corporation \| cr \| None \| 1976 \| 1999 \| csx transportation/norfo \| None row 5 : east washington railway \| None \| None \| 1935 \| 1976 \| None \| None row 6 : georgetown barge, dock, elevator \| None \| b&o \| 1888 \| 1972 \| baltimore and ohio \| None row 7 : orange, alexandria and man \| None \| sou \| 1872 \| 1872 \| virginia and north carolina railroad \| None row 8 : penn central transportation company \| pc \| None \| 1968 \| 1976 \| consolidated rail corporation \| None row 9 : pennsylvania railroad \| prr \| prr \| 1918 \| 1968 \| penn central transportation company \| None row 10 : philadelphia, baltimore \| None \| prr \| 1902 \| 1976 \| consolidated rail corporation \| None row 11 : philadelphia, wilm \| None \| prr \| 1891 \| 1902 \| philadelphia, baltimore \| None row 12 : richmond and danville railroad \| None \| sou \| 1886 \| 1894 \| southern railway \| None row 13 : richmond, fredericksburg and pot \| rf&p, rfp \| rf&p \| 1920 \| 1991 \| richmond, fredericksburg and pot \| None row 14 : southern railway \| sou \| sou \| 1894 \| 1990 \| norfolk southern railway \| None row 15 : southern maryland railroad \| None \| None \| 1882 \| 1886 \| washington and potomac railroad \| None row 16 : virginia midland railway \| None \| sou \| 1880 \| 1886 \| richmond and danville railroad \| None row 17 : virginia and north carolina railroad \| None \| sou \| 1872 \| 1873 \| washington city, virginia midland \| None row 18 : washington, alexandria and \| None \| rf&p \| 1862 \| 1868 \| alexandria and washington railroad \| None row 19 : washington city and point lookout railroad \| None \| b&o \| 1873 \| 1874 \| baltimore and ohio \| None row 20 : washington city, virginia midland \| None \| sou \| 1873 \| 1880 \| virginia midland railway \| None row 21 : washington and potomac railroad \| None \| None \| 1886 \| 1900 \| washington, potomac and chesa \| None row 22 : washington, potomac and chesa \| None \| None \| 1901 \| 1910 \| washington, potomac and chesa \| None row 23 : washington, potomac and chesa \| None \| None \| 1910 \| 1918 \| chesapeake beach railway \| None row 24 : washington southern railway \| wsn \| rf&p \| 1901 \| 1920 \| richmond, fredericksburg and pot \| None row 25 : washington terminal company \| watc \| b&o/ prr \| 1901 \| None \| None \| still exists as a subsidiary of the national railroad row 26 : washington and western maryland railroad \| None \| b&o \| 1889 \| 1985 \| None \| None ] Execute this SQL based on the above table: select successor where id = ( select id where successor = 'baltimore and potomac railroad' ) + 1	alexandria and fredericksburg railway
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| brazil \| 45 \| 33 \| 36 \| 114 row 2 : 2 \| china \| 37 \| 28 \| 34 \| 99 row 3 : 3 \| italy \| 14 \| 13 \| 24 \| 51 row 4 : 4 \| poland \| 13 \| 19 \| 11 \| 43 row 5 : 5 \| france \| 11 \| 3 \| 3 \| 17 row 6 : 6 \| south korea \| 8 \| 6 \| 8 \| 22 row 7 : 7 \| north korea \| 7 \| 2 \| 3 \| 12 row 8 : 8 \| kenya \| 6 \| 5 \| 5 \| 16 row 9 : 9 \| germany \| 5 \| 19 \| 11 \| 35 row 10 : 10 \| ukraine \| 5 \| 4 \| 9 \| 18 row 11 : 11 \| iran \| 5 \| 3 \| 4 \| 12 row 12 : 12 \| norway \| 4 \| 5 \| 2 \| 11 row 13 : 13 \| qatar \| 3 \| 1 \| 2 \| 6 row 14 : 14 \| chile \| 2 \| 4 \| 2 \| 8 row 15 : 15 \| austria \| 2 \| 2 \| 2 \| 6 row 16 : 16 \| lithuania \| 2 \| 1 \| 2 \| 5 row 17 : 17 \| belarus \| 2 \| 0 \| 4 \| 6 row 18 : 18 \| latvia \| 2 \| 0 \| 2 \| 4 row 19 : 19 \| sweden \| 2 \| 0 \| 0 \| 2 row 20 : 20 \| morocco \| 1 \| 7 \| 1 \| 9 row 21 : 21 \| turkey \| 1 \| 5 \| 4 \| 10 row 22 : 22 \| kazakhstan \| 1 \| 3 \| 6 \| 10 row 23 : 22 \| venezuela \| 1 \| 3 \| 6 \| 10 row 24 : 24 \| switzerland \| 1 \| 3 \| 5 \| 9 row 25 : 25 \| slovenia \| 1 \| 2 \| 6 \| 9 row 26 : 26 \| bahrain \| 1 \| 2 \| 4 \| 7 row 27 : 26 \| finland \| 1 \| 2 \| 4 \| 7 row 28 : 28 \| algeria \| 1 \| 2 \| 3 \| 6 row 29 : 29 \| estonia \| 1 \| 2 \| 2 \| 5 row 30 : 30 \| united states \| 1 \| 1 \| 3 \| 5 row 31 : 31 \| netherlands \| 1 \| 1 \| 2 \| 4 row 32 : 32 \| syria \| 1 \| 1 \| 0 \| 2 row 33 : 33 \| belgium \| 1 \| 0 \| 2 \| 3 row 34 : 33 \| romania \| 1 \| 0 \| 2 \| 3 row 35 : 35 \| canada \| 1 \| 0 \| 1 \| 2 row 36 : 35 \| uganda \| 1 \| 0 \| 1 \| 2 row 37 : 37 \| croatia \| 1 \| 0 \| 0 \| 1 row 38 : 37 \| denmark \| 1 \| 0 \| 0 \| 1 row 39 : 37 \| ecuador \| 1 \| 0 \| 0 \| 1 row 40 : 40 \| greece \| 0 \| 5 \| 3 \| 8 row 41 : 41 \| tunisia \| 0 \| 3 \| 1 \| 4 row 42 : 42 \| dominican republic \| 0 \| 1 \| 2 \| 3 row 43 : 43 \| jordan \| 0 \| 1 \| 1 \| 2 row 44 : 44 \| egypt \| 0 \| 1 \| 0 \| 1 row 45 : 44 \| hungary \| 0 \| 1 \| 0 \| 1 row 46 : 46 \| india \| 0 \| 0 \| 3 \| 3 row 47 : 47 \| cameroon \| 0 \| 0 \| 2 \| 2 row 48 : 47 \| namibia \| 0 \| 0 \| 2 \| 2 row 49 : 47 \| sri lanka \| 0 \| 0 \| 2 \| 2 row 50 : 47 \| uruguay \| 0 \| 0 \| 2 \| 2 row 51 : 51 \| argentina \| 0 \| 0 \| 1 \| 1 row 52 : 51 \| pakistan \| 0 \| 0 \| 1 \| 1 row 53 : 51 \| suriname \| 0 \| 0 \| 1 \| 1 ] Execute this SQL based on the above table: select rank group by rank order by count ( nation ) desc limit 1	47
[ header: year \| film \| song \| language row 1 : 2005 \| the tiger \| kaliya visha dhara \| malayalam row 2 : 2006 \| chinthamani kolacase \| asathoma \| malayalam row 3 : 2006 \| the don \| theme song \| malayalam row 4 : 2007 \| detective \| theme song \| malayalam row 5 : 2008 \| sound of boot \| yamuna sangitaam \| malayalam row 6 : 2009 \| kerala cafe (bgm) \| lalitham hiranmyam \| malayalam row 7 : 2010 \| ringtone \| 5 songs \| malayalam row 8 : 2010 \| "thriller \| bgm \| malayalam row 9 : 2011 \| thaazhvaarakaat \| 5 songs \| malayalam row 10 : 2012 \| shyloo \| shyloo \| kannada row 11 : 2012 \| crime story \| 3 songs \| malayalam row 12 : 2012 \| munjane \| yaro ob sund \| kannada row 13 : 2012 \| sankranthi \| belakkilla balali \| kannada row 14 : 2012 \| kai thunindavan \| 5 songs \| tamil ] Execute this SQL based on the above table: select film where song = 'belakkilla balali'	sankranthi
[ header: date \| opponent# \| rank# \| site \| result row 1 : september 12 \| at colorado \| None \| folsom field • boulder, co \| w 44-6 row 2 : september 19 \| at #5 ohio state \| None \| ohio stadium • columbus \| l 14-24 row 3 : september 26 \| san diego state \| None \| autzen stadium • eugene \| w 25-20 row 4 : october 3 \| #16 washington \| None \| autzen stadium • eugene \| w 29-22 row 5 : october 10 \| usc \| None \| autzen stadium • eugene \| w 34-27 row 6 : october 17 \| at #9 ucla \| #16 \| rose bowl • pasadena, ca \| l 10-41 row 7 : october 24 \| at stanford \| None \| stanford stadium • stanford, ca \| l 10-13 row 8 : october 31 \| california \| None \| autzen stadium • eugene \| l 6-20 row 9 : november 7 \| at arizona state \| None \| sun devil stadium • tempe, a \| l 17-37 row 10 : november 14 \| at washington state \| None \| martin stadium • pullman, wa \| w 31-17 row 11 : november 21 \| oregon state \| None \| autzen stadium • eugene \| w 44-0 ] Execute this SQL based on the above table: select date where id = ( select id where date = 'october 10' ) + 1	october 17
[ header: game \| date \| opponent \| location \| score \| ot \| attendance \| record row 1 : 1 \| january 9, 2009 \| @ portland lumberjax \| rose garden \| w 12-10 \| None \| 6859 \| 1-0 row 2 : 2 \| january 10, 2009 \| portland lumberjax \| pepsi center \| l 5-14 \| None \| 16987 \| 1-1 row 3 : 3 \| january 24, 2009 \| edmonton rush \| pepsi center \| l 9-11 \| None \| 16734 \| 1-2 row 4 : 4 \| january 31, 2009 \| new york titans \| pepsi center \| w 12-8 \| None \| 15023 \| 2-2 row 5 : 5 \| february 7, 2009 \| @ minnesota swarm \| xcel energy center \| w 13-8 \| None \| 11174 \| 3-2 row 6 : 6 \| february 14, 2009 \| calgary roughnecks \| pepsi center \| w 13-12 \| None \| 17712 \| 4-2 row 7 : 7 \| february 21, 2009 \| @ san jose stealth \| hp pavilion at san jose \| l 9-14 \| None \| 5576 \| 4-3 row 8 : 8 \| february 22, 2009 \| @ edmonton rush \| rexall place \| l 9-10 \| None \| 7249 \| 4-4 row 9 : 9 \| march 14, 2009 \| @ san jose stealth \| hp pavilion at san jose \| w 14-11 \| None \| 3535 \| 5-4 row 10 : 10 \| march 21, 2009 \| @ calgary roughnecks \| pengrowth saddledome \| l 10-13 \| None \| 10958 \| 5-5 row 11 : 11 \| march 22, 2009 \| minnesota swarm \| pepsi center \| w 13-11 \| None \| 15594 \| 6-5 row 12 : 12 \| march 28, 2009 \| @ philadelphia wings \| wachovia center \| l 13-17 \| None \| 11876 \| 6-6 row 13 : 13 \| april 3, 2009 \| rochester knighthawks \| pepsi center \| l 8-12 \| None \| 16834 \| 6-7 row 14 : 14 \| april 4, 2009 \| @ portland lumberjax \| rose garden \| l 12-13 \| ot \| 7859 \| 6-8 row 15 : 15 \| april 11, 2009 \| san jose stealth \| pepsi center \| l 10-11 \| ot \| 16189 \| 6-9 row 16 : 16 \| april 17, 2009 \| edmonton rush \| pepsi center \| w 10-9 \| None \| 16727 \| 7-9 ] Execute this SQL based on the above table: select count ( record ) where game >= 3 and game > 30	0
[ header: seat \| state \| majority \| member \| party row 1 : hinkler \| qld \| 0 \| paul neville \| npa row 2 : solomon \| nt \| 0.1 \| dave tollner \| lib row 3 : adelaide \| sa \| 0.2 \| hon trish worth \| lib row 4 : canning \| wa \| 0.4 \| don randall \| lib row 5 : dobell \| nsw \| 0.4 \| ken ticehurst \| lib row 6 : parramatta \| nsw \| 1.1 \| ross cameron \| lib row 7 : mcewen \| vic \| 1.2 \| fran bailey \| lib row 8 : paterson \| nsw \| 1.4 \| bob baldwin \| lib row 9 : herbert \| qld \| 1.6 \| peter lindsay \| lib row 10 : richmond \| nsw \| 1.6 \| hon larry anthony \| npa row 11 : deakin \| vic \| 1.7 \| philip barresi \| lib row 12 : eden-monaro \| nsw \| 1.7 \| gary nairn \| lib row 13 : hindmarsh \| sa \| 1.9 \| hon christine gallus \| lib ] Execute this SQL based on the above table: select count ( majority ) where member = '0'	0
[ header: pos. \| time \| athlete \| country \| venue \| date row 1 : 1 \| 12.21 (+0.7) \| yordanka donkova \| bulgaria \| stara zagora \| 20 august 1988 row 2 : 2 \| 12.25 (+1.4) \| ginka zagorcheva \| bulgaria \| drama \| 8 august 1987 row 3 : 3 \| 12.26 (+1.7) \| ludmila narozh \| russia \| seville \| 6 june 1992 row 4 : 3 \| 12.26 (+1.2) \| brianna rollins \| united states \| des moines \| 22 june 2013 row 5 : 5 \| 12.28 (+1.1) \| sally pearson \| australia \| daegu \| 3 september 2011 row 6 : 6 \| 12.33 (-0.3) \| gail devers \| united states \| sacramento \| 23 july 2000 row 7 : 7 \| 12.36 (+1.9) \| grazyna rabszt \| poland \| warsaw \| 13 june 1980 row 8 : 8 \| 12.37 (+1.5) \| joanna hayes \| united states \| athens \| 24 august 2004 row 9 : 8 \| 12.37 (-0.2) \| dawn harper \| united states \| london \| 7 august 2012 row 10 : 10 \| 12.39 (+1.5) \| vera komisova \| soviet union \| rome \| 5 august 1980 row 11 : 10 \| 12.39 (+1.8) \| nataliya grygoryeva \| soviet union \| kiev \| 11 july 1991 row 12 : 12 \| 12.42 (+1.8) \| bettine jahn \| east germany \| berlin \| 8 june 1983 row 13 : 12 \| 12.42 (+2.0) \| anjanette kirkland \| united states \| edmonton \| 11 august 2001 row 14 : 14 \| 12.43 (-0.9) \| lucyna kalek \| poland \| hannover \| 19 august 1984 row 15 : 14 \| 12.43 (-0.3) \| michelle perry \| united states \| carson \| 26 june 2005 row 16 : 14 \| 12.43 (+0.2) \| lolo jones \| united states \| beijing \| 18 august 2008 row 17 : 14 \| 12.43 (+1.2) \| queen harrison \| united states \| des moines \| 22 june 2013 row 18 : 18 \| 12.44 (-0.5) \| gloria siebert \| east germany \| rome \| 4 september 1987 row 19 : 18 \| 12.44 (-0.8) \| olga shishigina \| kazakhstan \| lucerne \| 27 june 1995 row 20 : 18 \| 12.44 (+0.4) \| glory alozie \| nigeria \| monaco \| 8 august 1998 row 21 : 18 \| 12.44 (+0.6) \| damu cherry \| united states \| lausanne \| 7 july 2006 row 22 : 22 \| 12.45 (+1.3) \| cornelia oschkenat \| east germany \| neubrandenburg \| 11 june 1987 row 23 : 22 \| 12.45 (+1.4) \| brigitte foster-hylton \| jamaica \| eugene \| 24 may 2003 row 24 : 22 \| 12.45 (+1.5) \| olena krasov \| ukraine \| athens \| 24 august 2004 row 25 : 22 \| 12.45 (+1.4) \| virginia crawford \| united states \| new york city \| 2 june 2007 ] Execute this SQL based on the above table: select pos. where country = 'united states'	3.0, 6.0, 8.0, 8.0, 12.0, 14.0, 14.0, 14.0, 18.0, 22.0
[ header: temple name \| posthumous name \| family name (in bold) and personal name \| reign \| era names and their year ranges \| notes row 1 : shizu 始祖 \| emperor wulie 武烈皇帝 \| sun jian 孫堅 \| None \| None \| sun jian's temple and post row 2 : None \| prince huan of changs \| sun ce 孫策 \| None \| None \| sun ce's posthumous name was granted row 3 : taizu 太祖 \| emperor da 大皇帝 \| sun quan 孫權 \| 222-252 \| huangwu 黃武 (222 \| sun quan adopted the era name "h row 4 : None \| (n/a) \| sun liang \| 252-258 \| jianxing 建興 (252 \| sun liang became "prince of row 5 : None \| emperor jing 景皇帝 \| sun xiu 孫休 \| 258-264 \| yong'an 永安 (258- \| None row 6 : None \| emperor wen 文皇帝 \| sun he 孫和 \| None \| None \| sun he's posthumous name was row 7 : None \| None \| sun hao 孫皓 \| 264-280 \| yuanxing 元興 (264 \| sun hao held the title of "marqui ] Execute this SQL based on the above table: select era names and their year ranges where notes = 'sun hao held the title of "marquis of wucheng" (烏程侯) before he became emperor in 264. in 280, after surrendering to the jin dynasty, he was granted the title of granted the title of "marquis of guiming" (歸命侯) by sima yan. he is also sometimes referred to as "emperor mo of wu" (吳末帝), which literally means "last emperor of wu"' order by reign limit 1415	yuanxing 元興 (264-265) ganlu 甘露 (265-266) baoding 寶鼎 (266-269) jianheng 建衡 (269-271) fenghuang 鳳凰 (272-274) tiance 天冊 (275-276) tianxi 天璽 (276) tianji 天紀 (277-280)
[ header: pos. \| car # \| driver \| make \| team row 1 : 1 \| 38 \| jason leffler \| toyota \| braun racing row 2 : 2 \| 16 \| greg biffle \| ford \| roush fenway racing row 3 : 3 \| 99 \| david reutimann \| toyota \| michael waltrip racing row 4 : 4 \| 60 \| carl edwards \| ford \| roush fenway racing row 5 : 5 \| 77 \| ron hornaday \| chevrolet \| kevin harvick incorporated row 6 : 6 \| 20 \| aric almirola \| chevrolet \| joe gibbs racing row 7 : 7 \| 29 \| scott wimmer \| chevrolet \| richard childress racing row 8 : 8 \| 42 \| kevin hamlin \| dodge \| chip ganassi racing row 9 : 9 \| 10 \| mike bliss \| toyota \| braun racing row 10 : 10 \| 88 \| brad keselowski \| chevrolet \| jr motorsports ] Execute this SQL based on the above table: select driver where driver != 'carl edwards' order by car # desc limit 1	david reutimann
[ header: year \| film \| language \| character \| co-star \| music \| banner row 1 : 1941 \| bhaktimala \| telugu \| radha \| None \| None \| bhaskar films row 2 : 1941 \| dharmapatni \| tamil \| None \| None \| None \| famous films row 3 : 1944 \| tahsildar \| telugu \| kamala \| None \| None \| None row 4 : 1946 \| gruhapravesam \| telugu \| janaki \| None \| None \| sarati films row 5 : 1947 \| ratnamala \| telugu \| ratnamala \| c. s. r. an \| c. r. subburaman \| bharani pictures row 6 : 1949 \| laila majnu \| telugu \| laila \| a. nageswara r \| c. r. subburaman \| bharani pictures row 7 : 1949 \| apoorva sagodhar \| tamil \| kanchana \| m. k. radha \| s. rajeswara \| gemini studios row 8 : 1951 \| malleeswari \| telugu \| malleeswari \| n. t. rama r \| adepalli rama r \| vijaya studios row 9 : 1951 \| mangala \| hindi \| mangala \| None \| None \| gemini studios row 10 : 1952 \| rani \| tamil \| None \| s. balachander \| c. r. subburaman \| jupiter pictures row 11 : 1952 \| rani \| hindi \| None \| anoop kumar \| c. r. subburaman \| jupiter pictures row 12 : 1953 \| chandirani \| hindi \| champa & chandi \| dilip kumar \| c. r. subburaman \| bharani pictures row 13 : 1957 \| makkalai petra magarasi \| tamil \| rangamma \| sivaji ganesan \| k. v. mahadevan \| sri lakshmi row 14 : 1961 \| batasari \| telugu \| madhavi \| a. nageswara r \| master venu \| bharani pictures row 15 : 1965 \| antastulu \| telugu \| None \| a. nageswara r \| k. v. mahadevan \| None row 16 : 1967 \| grihalakshmi \| telugu \| laxmi \| None \| None \| None row 17 : 1967 \| pattatthu rani \| tamil \| None \| gemini ganesan \| t. k. ramamoorth \| None row 18 : 1984 \| mangamma gari manavadu \| telugu \| mangamma \| None \| None \| None row 19 : 1988 \| attagaru swagatham \| telugu \| None \| None \| None \| None ] Execute this SQL based on the above table: select film order by co-star desc limit 1	makkalai petra magarasi
[ header: name \| variant name(s) \| source \| source coordinates \| length \| mouth \| mouth coordinates row 1 : mouth \| None \| None \| None \| None \| aliso creek beach, laguna beach \| 33°30′38′′n 117° row 2 : wood canyon creek \| None \| aliso viejo \| 33°35′39′′n 117° \| 2.8 miles (4.5 km) \| aliso canyon-right bank of alis \| 33°32′28′′n 117° row 3 : sulphur creek \| arroyo salada, sulph \| north laguna niguel \| 33°33′33′′n 117° \| 4.5 miles (7.2 km) \| head of aliso canyon-left bank of \| 33°32′32′′n 117° row 4 : aliso hills channel \| None \| south laguna hills \| None \| 4.5 miles (7.2 km) \| aliso viejo-left bank of al \| None row 5 : dairy fork \| dairy fork storm drain \| south laguna woods \| None \| 3 miles (4.8 km) \| aliso viejo- right bank of al \| None row 6 : munger creek \| munger creek storm drain \| lake forest \| None \| 1 mile (1.6 km) \| mission viejo-right bank of aliso \| None row 7 : unnamed northern fork \| None \| portola hills \| None \| 2.5 miles (4.0 km) \| mission viejo-right bank of aliso \| None row 8 : english canyon \| english canyon creek, english canyon channel \| mission viejo \| 33°39′30′′n 117° \| 3.5 miles (5.6 km) \| mission viejo-left bank of aliso \| 33°37′42′′n 117° row 9 : source \| None \| cleveland national forest, portola \| 33°42′10′′n 117° \| None \| None \| None ] Execute this SQL based on the above table: select name order by source coordinates asc limit 1	mouth
[ header: # \| district \| land area (km2) \| population (2010 census) \| density (persons/km2) row 1 : 1 \| anse la raye \| 30.9 \| 6247 \| 210 row 2 : 2 \| praslin \| 16 \| 2044 \| 119 row 3 : 3 \| castries \| 79.5 \| 65656 \| 776 row 4 : 4 \| choiseul \| 31.3 \| 6098 \| 206 row 5 : 5 \| dennery \| 69.7 \| 12599 \| 182 row 6 : 6 \| forest reserve \| 78 \| 0 \| 0 row 7 : 7 \| gros islet \| 101.5 \| 25210 \| 196 row 8 : 8 \| laborie \| 37.8 \| 6701 \| 210 row 9 : 9 \| micoud \| 77.7 \| 16284 \| 220 row 10 : 10 \| soufriere \| 50.5 \| 8472 \| 144 row 11 : 11 \| vieux fort \| 43.8 \| 16284 \| 371 row 12 : None \| saint lucia \| 608.7 \| 165595 \| 256 ] Execute this SQL based on the above table: select land area (km2) where # is null	608.7
[ header: rank \| athlete \| qual \| final \| total \| notes row 1 : None \| silvia sperber (frg \| 590 \| 95.6 \| 685.6 \| or row 2 : None \| vesela letcheva (bul) \| 583 \| 100.2 \| 683.2 \| None row 3 : None \| valentina cherkasova ( \| 586 \| 95.4 \| 681.4 \| None row 4 : 4 \| katja klepp (gdr \| 584 \| 96.5 \| 680.5 \| None row 5 : 5 \| sharon bowes (can) \| 584 \| 96.5 \| 680.5 \| None row 6 : 6 \| anna maloukhina (urs) \| 585 \| 93.4 \| 678.4 \| None row 7 : 7 \| launi meili (usa) \| 582 \| 94.5 \| 676.5 \| None row 8 : 8 \| anita karlsson (s \| 583 \| 93.4 \| 676.4 \| None ] Execute this SQL based on the above table: select count ( athlete ) where total >= 1093	0
[ header: year \| 1st venue \| 2nd venue \| 3rd venue \| 4th venue \| 5th venue \| 6th venue row 1 : 2007 \| sheffield \| mexico city \| nanjing \| None \| None \| None row 2 : 2008 \| tijuana \| sheffield \| nanjing \| None \| None \| None row 3 : 2009 \| doha \| changzhou \| sheffield \| tijuana \| None \| None row 4 : 2010 \| qingdao \| veracruz \| veracruz \| None \| None \| None row 5 : 2011 \| moscow \| beijing \| sheffield \| guanajuato \| None \| None row 6 : 2012 \| dubai \| beijing \| moscow \| tijuana \| None \| None row 7 : 2013 \| beijing \| dubai \| edinburgh \| moscow \| guadalajara \| guadalajara row 8 : 2014 \| beijing \| dubai \| london \| moscow \| windsor \| monterrey ] Execute this SQL based on the above table: select 3rd venue order by year limit 1	nanjing
[ header: year \| title \| hangul \| network \| further info row 1 : 2008 \| pretty boys: a wrong situation \| 꽃미남 아롱사태 \| mnet \| None row 2 : 2009 \| let's go dream team! season 2 \| 출발 드림팀2 \| kbs2 \| variety show row 3 : 2009-10 \| music bank \| 뮤직뱅크 \| kbs2 \| music show, as mc row 4 : 2010-11 \| running man \| 런닝맨 \| sbs \| variety show row 5 : 2011 \| i'm real: song joong \| i'm real 송중기 \| qtv \| None row 6 : 2011 \| everyone dramatic \| 에브리원 드라마틱 \| mbc \| None row 7 : 2011 \| made in u \| 메이드 인 유 \| jtbc \| audition show, as mc row 8 : 2011-12 \| tears of the antarctic \| 남극의 눈물 \| mbc \| documentary, as narrator ] Execute this SQL based on the above table: select count ( * ) where network = 'kbs2'	2
[ header: team 1 \| agg. \| team 2 \| 1st leg \| 2nd leg row 1 : real union \| (a) 6-6 \| real madrid \| 3-2 \| 3-4 row 2 : portugalete \| 1-7 \| valencia \| 1-4 \| 0-3 row 3 : ponferradina \| 1-4 \| sevilla \| 1-0 \| 0-4 row 4 : orihuela \| 0-1 \| atletico \| 0-1 \| 0-0 row 5 : poli ejido \| 6-1 \| villarreal \| 5-0 \| 1-1 row 6 : hercules \| 3-7 \| valladolid \| 1-5 \| 2-2 row 7 : rayo vallecano \| 1-5 \| almeria \| 1-2 \| 0-3 row 8 : celta \| 2-5 \| espanyol \| 2-2 \| 0-3 row 9 : castellon \| 0-4 \| betis \| 0-2 \| 0-2 row 10 : real murcia \| 2-3 \| racing \| 2-1 \| 0-2 row 11 : malaga \| 1-3 \| mallorca \| 1-1 \| 0-2 row 12 : athletic \| 3-2 \| recreativo \| 2-0 \| 1-2 row 13 : getafe \| 0-1 \| osasuna \| 0-0 \| 0-1 row 14 : benidorm \| 0-2 \| barcelona \| 0-1 \| 0-1 row 15 : elche \| 0-4 \| deportivo \| 0-2 \| 0-2 row 16 : numancia \| 0-3 \| sporting \| 0-1 \| 0-2 ] Execute this SQL based on the above table: select team 1 where id = 1	real union
[ header: rnd \| circuit \| lmp1 winning team lmp1 winning drivers \| lmp2 winning team lmp2 winning drivers \| gt1 winning team gt1 winning drivers \| gt2 winning team gt2 winning drivers \| results row 1 : 1 \| sebring \| #2 audi sport north america \| #37 intersport racing \| #4 corvette racing \| #50 multimatic motorsports \| results row 2 : 1 \| sebring \| rinaldo capello tom \| clint field liz halliday \| oliver gavin olivier beretta \| scott maxwell david brabham \| results row 3 : 2 \| reliant park \| #2 audi sport north america \| #37 intersport racing \| #4 corvette racing \| #23 alex job racing \| results row 4 : 2 \| reliant park \| allan mcnish rinal \| clint field liz halliday \| oliver gavin olivier beretta \| mike rockenfeller klaus \| results row 5 : 3 \| mid-ohio \| #2 audi sport north america \| #7 penske racing \| #4 corvette racing \| #45 flying lizard motorsports \| results row 6 : 3 \| mid-ohio \| allan mcnish rinal \| timo bernhard roma \| oliver gavin olivier beretta \| johannes van overbeek wolf \| results row 7 : 4 \| lime rock \| #2 audi sport north america \| #7 penske racing \| #009 aston martin racing \| #31 petersen/white lightning \| results row 8 : 4 \| lime rock \| allan mcnish rinal \| timo bernhard roma \| stephane sarrazin pedr \| jorg bergmeister patrick long \| results row 9 : 5 \| miller \| #1 audi sport north america \| #6 penske racing \| #007 aston martin racing \| #62 risi competi \| results row 10 : 7 \| road america \| #1 audi sport north america \| #6 penske racing \| #3 corvette racing \| #31 petersen/white lightning \| results row 11 : 7 \| road america \| frank biela emanu \| sascha maassen tim \| ron fellows johnny \| jorg bergmeister patrick long mich \| results row 12 : 8 \| mosport \| #2 audi sport north america \| #7 penske racing \| #009 aston martin racing \| #62 risi competi \| results row 13 : 8 \| mosport \| allan mcnish rinal \| lucas luhr roma \| stephane sarrazin pedr \| stephane ortelli johnny \| results row 14 : 9 \| road atlanta \| #2 audi sport north america \| #6 penske racing \| #007 aston martin racing \| #31 petersen/white lightning \| results row 15 : 9 \| road atlanta \| allan mcnish rinal \| sascha maassen tim \| tomas enge darren turner \| jorg bergmeister patrick long \| results row 16 : 10 \| mazda raceway laguna sec \| #2 audi sport north america \| #7 penske racing \| #009 aston martin racing \| #62 risi competi \| results ] Execute this SQL based on the above table: select abs ( ( select rnd where results = 'results' ) - ( select rnd where results = 'results' ) )	0.0
[ header: goal \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 8 october 2010 \| ferenc puskas, bud \| san marino \| 2-0 \| 8-0 \| euro 2012 qualifying row 2 : 2 \| 8 october 2010 \| ferenc puskas, bud \| san marino \| 4-0 \| 8-0 \| euro 2012 qualifying row 3 : 3 \| 8 october 2010 \| ferenc puskas, bud \| san marino \| 5-0 \| 8-0 \| euro 2012 qualifying row 4 : 4 \| 12 october 2010 \| olympic stadium, hel \| finland \| 0-1 \| 1-2 \| euro 2012 qualifying row 5 : 5 \| 29 february 2012 \| eto park, gyor, \| bulgaria \| 1-0 \| 1-1 \| friendly row 6 : 6 \| 7 september 2012 \| estadi comunal, andorr \| andorra \| 3-0 \| 5-0 \| 2014 world cup qualification row 7 : 7 \| 16 october 2012 \| ferenc puskas, bud \| turkey \| 2-1 \| 3-1 \| 2014 world cup qualification ] Execute this SQL based on the above table: select count ( goal ) where venue <= 119	0
[ header: no \| test no \| 1st team \| 2nd team \| winner \| margin \| toss \| bat \| date row 1 : 1 \| 745 \| india \| west indies \| west indies \| 267 runs \| won \| 2nd \| 22-11-1974 row 2 : 2 \| 794 \| india \| england \| india \| 140 runs \| won \| 1st \| 28-1-1977 row 3 : 3 \| 837 \| india \| west indies \| draw \| None \| lost \| 2nd \| 15-12-1978 row 4 : 4 \| 856 \| india \| australia \| draw \| None \| lost \| 2nd \| 19-9-1979 row 5 : 5 \| 861 \| india \| pakistan \| draw \| None \| lost \| 2nd \| 21-11-1979 row 6 : 6 \| 912 \| india \| england \| draw \| None \| lost \| 2nd \| 9-12-1981 row 7 : 7 \| 961 \| india \| pakistan \| draw \| None \| won \| 1st \| 14-9-1983 row 8 : 8 \| 1073 \| india \| pakistan \| pakistan \| 16 runs \| lost \| 2nd \| 13-3-1987 row 9 : 9 \| 1107 \| india \| new zealand \| india \| 172 runs \| won \| 1st \| 12-11-1988 row 10 : 10 \| 1245 \| india \| sri lanka \| india \| inns & 95 runs \| won \| 1st \| 26-1-1994 row 11 : 11 \| 1308 \| india \| new zealand \| india \| 8 wickets \| lost \| 2nd \| 18-10-1995 row 12 : 12 \| 1413 \| india \| australia \| australia \| 8 wickets \| won \| 1st \| 25-3-1998 row 13 : 13 \| 1486 \| india \| south africa \| south africa \| inns & 71 runs \| won \| 1st \| 2-3-2000 row 14 : 14 \| 1578 \| india \| england \| draw \| None \| lost \| 2nd \| 19-12-2001 row 15 : 15 \| 1713 \| india \| australia \| australia \| 217 runs \| lost \| 2nd \| 6-10-2004 row 16 : 16 \| 1743 \| india \| pakistan \| pakistan \| 168 runs \| lost \| 2nd \| 24-3-2005 row 17 : 17 \| 1852 \| india \| pakistan \| draw \| None \| won \| 1st \| 8-12-2007 row 18 : 18 \| 1887 \| india \| australia \| draw \| None \| lost \| 2nd \| 9-10-2008 row 19 : 19 \| 1973 \| india \| australia \| india \| 7 wickets \| lost \| 2nd \| 9-10-2010 row 20 : 20 \| 2055 \| india \| new zealand \| india \| 5 wickets \| lost \| 2nd \| 25-5-2008 ] Execute this SQL based on the above table: select toss where no not null order by test no limit 6	won, won, lost, lost, lost, lost
[ header: season \| premiere date \| the winner \| runner-up \| finalists \| contestants in order of elimination \| number of contestants \| number of concerts row 1 : af1 \| june 21, 2004 \| vit (v2) \| jeen (v1) \| aof (v6), z- \| joomjim (v5), por \| 12 \| 9 row 2 : af2 \| july 18, 2005 \| aof (v4) \| pat (v6) \| boy (v8), pas (v9), \| joe (v12), loog \| 12 \| 12 row 3 : af4 \| june 18, 2007 \| nat (v1) \| tol (v9) \| papang (v3), music (v8) \| cat (v11), tee ( \| 12 (20) \| 13 row 4 : af5 \| may 12, 2008 \| natthew (v13) \| ron (v12) \| pump (v8), good (v10), \| green (v16), micky (v6) \| 12 (16) \| 12 row 5 : af6 \| june 28, 2009 \| zani (v6) \| ann (v10) \| tee (v5), & \| koonjae-sal ( \| 12 \| 12 row 6 : af7 \| june 27, 2010 \| por (v12) \| ton (v13) \| boss (v10), new (v4), \| pum (v7), ben (v \| 12 (100) \| 12 row 7 : af9 \| june 3, 2012 \| ice (v8) \| zo (v1) \| bright(v5), nest(v7) \| k (v6), sunny (v11 \| 12 (24) \| 15 row 8 : af10 \| june 23, 2013 \| tungbeer (v20) \| tayme (v6) \| tuey (v21), beam \| tung (v13), taeng \| 24 \| 12 ] Execute this SQL based on the above table: select number of concerts order by finalists desc limit 1	12.0
[ header: station \| type \| latitude \| longitude \| el. (m) \| opened \| closed \| coordinates row 1 : calama, chile \| solar \| 22o28's \| 68o56'w \| 2250 \| 1918 \| 1920 \| 22°28′s 68°56′ row 2 : mount montezuma, chile \| solar \| 22o40's \| 68o56'w \| 2711 \| 1920 \| None \| 22°40′s 68°56′ row 3 : mount harquahala, arizon \| solar \| 33o48'n \| 113o20'w \| 1721 \| 1920 \| 1925 \| 33°48′n 113°20′ row 4 : table mountain, california \| solar \| 34o22'n \| 117o41'w \| 2286 \| 1925 \| 1962 \| 34°22′n 117°41′ row 5 : mount brukkaros, namibi \| solar \| 25o52's \| 17o48'e \| 1586 \| 1926 \| 1931 \| 25°52′s 17°48′e row 6 : mount saint catherine, egy \| solar \| 28o31'n \| 33o56'e \| 2591 \| 1934 \| 1937 \| 28°31′n 33°56′e row 7 : burro mountain, new mexico \| solar \| 32o40'n \| 108o33'w \| 2440 \| 1938 \| 1946 \| 32°40′n 108°33′ row 8 : organ pass, new mexico \| space track \| 32o25'n \| 253o27'e \| None \| None \| None \| 32°25′n 106°33′ row 9 : olifantsfontein, south africa \| space track \| 25o58's \| 28o15'e \| None \| None \| None \| 25°58′s 28°15′e row 10 : woomera, australia \| space track \| 31o06's \| 136o46'e \| None \| None \| None \| 31°06′s 136°46′ row 11 : curacao, netherlands west in \| space track \| 12o05'n \| 291o10'e \| None \| None \| None \| 12°05′n 68°50′ row 12 : jupiter, florida \| space track \| 27o01'n \| 279o53'e \| None \| None \| None \| 27°01′n 80°07′w row 13 : villa dolores, argentina \| space track \| 31o57'n \| 294o54'e \| None \| None \| None \| 31°57′n 65°06′e row 14 : mitaka, japan \| space track \| None \| None \| None \| None \| None \| None row 15 : nani tal, india \| space track \| None \| None \| None \| None \| None \| None ] Execute this SQL based on the above table: select count ( * ) where station = 'jupiter, florida'	1
[ header: year \| name \| birth date \| winner \| awarding age \| row 1 : 1998 \| nick cheung \| 1967-12-02 \| winner \| 30 years, 352 days \| None row 2 : 1998 \| chin kar lok \| 1965-08-06 \| winner \| 33 years, 105 days \| None row 3 : 2002 \| moses chan \| 1971-04-16 \| winner \| 31 years, 217 days \| None row 4 : 2003 \| raymond lam \| 1979-12-08 \| winner \| 23 years, 346 days \| youngest winner row 5 : 2004 \| ron ng \| 1979-09-02 \| winner \| 25 years, 78 days \| None row 6 : 2005 \| bosco wong \| 1980-12-13 \| winner \| 24 years, 341 days \| None row 7 : 2006 \| kenneth ma \| 1974-02-13 \| winner \| 32 years, 270 days \| None row 8 : 2007 \| amigo choi \| 1979-05-08 \| winner \| 28 years, 193 days \| None row 9 : 2008 \| wong cho lam \| 1980-01-09 \| winner \| 28 years, 311 days \| None row 10 : 2009 \| ngo ka-nin \| 1976-09-26 \| winner \| 33 years, 69 days \| None row 11 : 2010 \| raymond wong \| 1976-08-25 \| winner \| 34 years, 102 days \| oldest winner row 12 : 2011 \| jin au-yeung \| 1982-06-04 \| winner \| 29 years, 184 days \| None row 13 : 2012 \| oscar leung \| 1979-03-26 \| winner \| 33 years, 266 days \| None ] Execute this SQL based on the above table: select count ( * ) where awarding age < '32 years, 270 days'	13
[ header: party/electoral alliance \| seats \| change \| votes \| % row 1 : radical civic union (ucr) \| 98 \| 6 \| 618411 \| 42.70% row 2 : independent socialist \| 15 \| 9 \| 110792 \| 7.70% row 3 : conservative \| 12 \| -2 \| 153826 \| 10.60% row 4 : democratic (cordoba province) \| 7 \| 1 \| None \| None row 5 : unified ucr (santa \| 4 \| -7 \| 53221 \| 3.70% row 6 : liberal (tucuman province) \| 4 \| -2 \| 39543 \| 2.70% row 7 : democratic progressive \| 3 \| 3 \| 136121 \| 9.40% row 8 : antipersonalist ucr \| 3 \| -2 \| 47891 \| 3.30% row 9 : autonomist party of corrientes \| 2 \| -3 \| 17152 \| 1.20% row 10 : lencinist ucr ( \| 1 \| None \| 19375 \| 1.30% row 11 : socialist \| 1 \| -3 \| 123734 \| 8.50% row 12 : others \| 4 \| None \| 127601 \| 8.60% row 13 : invalid votes \| 4 \| None \| 39868 \| 2.70% row 14 : total \| 158 \| None \| 1487535 \| 100.00% ] Execute this SQL based on the above table: select count ( distinct party/electoral alliance ) where % = 644	0
[ header: date \| winner \| yacht \| loser \| yacht \| score \| delta row 1 : september 14, 1983 \| liberty \| us-40 \| australia ii \| ka-6 \| 1-0 \| 1:10 row 2 : september 15, 1983 \| liberty \| us-40 \| australia ii \| ka-6 \| 2-0 \| 1:33 row 3 : september 18, 1983 \| australia ii \| ka-6 \| liberty \| us-40 \| 1-2 \| 3:14 row 4 : september 20, 1983 \| liberty \| us-40 \| australia ii \| ka-6 \| 3-1 \| 0:43 row 5 : september 21, 1983 \| australia ii \| ka-6 \| liberty \| us-40 \| 2-3 \| 1:47 row 6 : september 22, 1983 \| australia ii \| ka-6 \| liberty \| us-40 \| 3-3 \| 3:25 row 7 : september 26, 1983 \| australia ii \| ka-6 \| liberty \| us-40 \| 4-3 \| 0:41 ] Execute this SQL based on the above table: select delta group by delta order by count ( score ) desc limit 1	1
[ header: name \| age \| hometown \| occupation \| culinary p.o.v. \| eliminated row 1 : damaris phillips \| 31 \| louisville, ky \| culinary teacher \| "modern southern food" \| winner row 2 : rodney henry \| 47 \| baltimore, md \| pie shop owner \| "pie style" \| second place row 3 : russell jackson \| 49 \| san francisco, ca \| underground chef \| "seven culinary sins" \| third place row 4 : stacey poon-kinney \| 34 \| san diego, ca \| restaurant owner \| "vintage with a modern twist" \| week 10 row 5 : nikki dinki \| 29 \| new york, ny \| food blogger/online host \| "semi-vegetarian" \| week 9 row 6 : chad rosenthal \| 37 \| ambler, pa \| restaurant owner \| "jewish bbq guy" \| week 7 row 7 : chris hodgson \| 26 \| cleveland, oh \| chef/restaurateur \| "compassion for food" \| week 6 row 8 : viet pham \| 33 \| salt lake city, ut \| chef/restaurant owner \| "the american dream" \| week 5 row 9 : connie "lovely" jackson \| 27 \| los angeles, ca \| caterer \| "party on a plate" \| week 4 & week 8(winner of row 10 : danushka lysek \| 37 \| new york, ny \| private chef/model \| "your private chef" \| week 3 row 11 : andres guillama \| 26 \| waynesville, nc \| childhood obesity prevention coach \| "teaching men to cook" \| week 2 row 12 : daniela perez-reyes \| 28 \| haleiwa, hi \| bartender/caterer \| "peruvian princess" \| week 1 ] Execute this SQL based on the above table: select count ( occupation ) where occupation != 'food blogger/online host' and culinary p.o.v. not null	11
[ header: trial number \| date \| name of trial \| celebrity/ies taking part \| winner/number of stars \| notes row 1 : 1 \| 13 november 2006 \| mineshaft misery \| jan \| None \| none row 2 : 2 \| 14 november 2006 \| flash flood \| david \| None \| none row 3 : 3 \| 15 november 2006 \| jungle boogie \| scott \| None \| None row 4 : 4 \| 16 november 2006 \| treetop terror \| jan scott \| None \| none row 5 : 5 (live) \| 17 november 2006 \| jungle spa \| dean \| None \| None row 6 : 6 \| 18 november 2006 \| operation \| phina jason \| None \| None row 7 : 7 \| 19 november 2006 \| snake bite \| jan \| None \| None row 8 : 8 \| 20 november 2006 \| bull in a china shop \| jan \| None \| none row 9 : 9 \| 21 november 2006 \| catch a falling star \| jan scott \| jan \| None row 10 : 10 \| 22 november 2006 \| bushtucker duel \| jan scott \| scott \| none row 11 : 11 \| 23 november 2006 \| what lurks beneath \| phina scott \| phina \| None row 12 : 12 \| 24 november 2006 \| thunderball \| jason malandra matt \| None \| none row 13 : 13 \| 25 november 2006 \| jungle falls \| dean lauren phina \| None \| none row 14 : 14 \| 26 november 2006 \| tomb of torment \| myleene \| None \| none row 15 : 15 \| 27 november 2006 \| shooting gallery \| david jason matt \| None \| none row 16 : 16 \| 28 november 2006 \| skyscrape \| malandra myleene \| None \| none row 17 : 17 \| 29 november 2006 \| temple of doom \| dean \| None \| none row 18 : 18 \| 30 november 2006 \| celebrity cyclone \| jason myleene matt \| None \| none row 19 : 19 \| 1 december 2006 \| bushtucker bonanza \| matt \| None \| none row 20 : 20 \| 1 december 2006 \| fill your face \| jason \| None \| none row 21 : 21 \| 1 december 2006 \| scareoke \| myleene \| None \| none ] Execute this SQL based on the above table: select winner/number of stars where id = ( select id where winner/number of stars = 'scott' ) - 1	jan
[ header: rank \| athlete \| country \| time \| notes row 1 : None \| nataliya petrusyova \| soviet union \| 1:24.10 \| or row 2 : None \| leah poulos \| united states \| 1:25.41 \| None row 3 : None \| sylvia albrecht \| east germany \| 1:26.46 \| None row 4 : 4 \| karin enke \| east germany \| 1:26.66 \| None row 5 : 5 \| beth heiden \| united states \| 1:27.01 \| None row 6 : 6 \| annie borckink \| netherlands \| 1:27.24 \| None row 7 : 7 \| sylvia burka \| canada \| 1:27.50 \| None row 8 : 8 \| ann-sofie jarnstrom \| sweden \| 1:28.10 \| None row 9 : 9 \| sylvia filipsson \| sweden \| 1:28.18 \| None row 10 : 10 \| annette carlen-karls \| sweden \| 1:28.25 \| None row 11 : 11 \| valentina lalenkova \| soviet union \| 1:28.27 \| None row 12 : 12 \| bjørg eva jen \| norway \| 1:28.55 \| None row 13 : 13 \| sijtje van der lende \| netherlands \| 1:28.72 \| None row 14 : 14 \| sarah docter \| united states \| 1:28.80 \| None row 15 : 14 \| haitske valentijn-pij \| netherlands \| 1:28.80 \| None row 16 : 16 \| erwina rys-feren \| poland \| 1:28.82 \| None row 17 : 17 \| miyoshi kato \| japan \| 1:28.97 \| None row 18 : 18 \| christa rothenburger \| east germany \| 1:29.69 \| None row 19 : 19 \| brenda webster \| canada \| 1:29.84 \| None row 20 : 20 \| irina kuleshova \| soviet union \| 1:29.94 \| None row 21 : 21 \| monika pflug \| west germany \| 1:30.13 \| None row 22 : 22 \| makiko nagaya \| japan \| 1:30.27 \| None row 23 : 23 \| sigrid smuda \| west germany \| 1:30.29 \| None row 24 : 24 \| kathy vogt \| canada \| 1:30.33 \| None row 25 : 25 \| yuko yaegashi- \| japan \| 1:30.72 \| None row 26 : 26 \| lee nam-sun \| south korea \| 1:31.30 \| None row 27 : 27 \| cao guifeng \| china \| 1:31.74 \| None row 28 : 28 \| anneli repola \| finland \| 1:31.76 \| None row 29 : 29 \| silvia brunner \| switzerland \| 1:31.79 \| None row 30 : 30 \| lee seong-ae \| south korea \| 1:32.04 \| None row 31 : 31 \| zhang li \| china \| 1:32.20 \| None row 32 : 32 \| shen zhenshu \| china \| 1:32.49 \| None row 33 : 33 \| brigitte flierl \| west germany \| 1:33.61 \| None row 34 : 34 \| kim yeong-hui \| south korea \| 1:34.17 \| None row 35 : 35 \| kim ferran \| great britain \| 1:34.19 \| None row 36 : 36 \| marzia peretti \| italy \| 1:35.66 \| None row 37 : 37 \| mandy horsepool \| great britain \| 1:36.31 \| None ] Execute this SQL based on the above table: select athlete order by id desc limit 1	mandy horsepool
[ header: year \| team \| games \| punt return attempts \| punt return yards \| punts returned for touchdown \| punts fair caught \| longest punt return \| kickoff attempts \| kickoff return yards \| kickoffs returned for touchdown \| kickoffs fair caught \| longest kickoff return row 1 : 2008 \| den \| 15 \| 14 \| 140 \| 0 \| 10 \| 36 \| 23 \| 600 \| 0 \| 0 \| 95 row 2 : 2009 \| den \| 14 \| 30 \| 335 \| 1 \| 13 \| 71 \| 26 \| 621 \| 1 \| 0 \| 93 row 3 : 2010 \| den \| 16 \| 25 \| 298 \| 0 \| 12 \| 33 \| 5 \| 107 \| 0 \| 0 \| 33 row 4 : 2011 \| den \| 12 \| 12 \| 194 \| 1 \| 9 \| 85 \| 3 \| 47 \| 0 \| 0 \| 20 row 5 : 2012 \| sd \| 10 \| 12 \| 64 \| 0 \| 2 \| 14 \| 0 \| 0 \| 0 \| 0 \| 0 row 6 : 2013 \| sd \| 15 \| 7 \| 41 \| 0 \| 7 \| 12 \| 0 \| 0 \| 0 \| 0 \| 0 row 7 : total \| total \| 82 \| 100 \| 1072 \| 2 \| 53 \| 85 \| 57 \| 1375 \| 1 \| 0 \| 95 ] Execute this SQL based on the above table: select count ( team ) where team = '14'	0
[ header: seed \| school \| conf (overall) \| tiebreaker row 1 : #1 \| georgetown \| 14-4 (24-5) \| 2-1 vs. louisville/ row 2 : #2 \| louisville \| 14-4 (26-5) \| 1-1 vs. georgetown row 3 : #3 \| marquette \| 14-4 (23-7) \| 1-2 vs. georgetown row 4 : #4 \| pittsburgh \| 12-6 (24-7) \| None row 5 : #5 \| syracuse \| 11-7 (23-8) \| 1-0 vs. notre dame row 6 : #6 \| notre dame \| 11-7 (23-8) \| 0-1 vs. sy row 7 : #7 \| villanova \| 10-8 (19-12) \| None row 8 : #8 \| providence \| 9-9 (17-13) \| 1-0 vs. cincinnati row 9 : #9 \| cincinnati \| 9-9 (21-10) \| 0-1 vs. providence row 10 : #10 \| st. john's \| 8-10 (16-14) \| None row 11 : #11 \| rutgers \| 5-13 (14-15) \| None row 12 : #12 \| seton hall \| 3-15 (14-17) \| 1-0 vs. south florida row 13 : #13 \| south florida \| 3-15 (12-18) \| 0-1 vs. seton hall row 14 : #14 \| depaul \| 2-16 (11-20) \| None ] Execute this SQL based on the above table: select conf (overall) where conf (overall) < 1384	12-6 (24-7), 11-7 (23-8), 11-7 (23-8), 10-8 (19-12)
[ header: year \| personnel \| album \| label \| peak positions nor row 1 : 2001 \| solveig slettahjell \| slow motion orchestra \| curling legs \| None row 2 : 2004 \| solveig slettahjell \| silver \| curling legs \| 23 row 3 : 2005 \| solveig slettahjell \| pixiedust \| curling legs \| 25 row 4 : 2006 \| solveig slettahjell \| good rain \| curling legs (, act) \| 28 row 5 : 2007 \| solveig slettahjell \| domestic songs \| curling legs (, act) \| 30 row 6 : 2008 \| solveig slettahjell \| natt i betlehem \| kirkelig kulturverksted \| 5 row 7 : 2009 \| solveig slettahjell \| tarpan seasons \| universal \| 5 row 8 : 2011 \| solveig slettahjell \| antologie \| universal \| 6 row 9 : 2013 \| solveig slettahjell \| arven \| universal \| 5 ] Execute this SQL based on the above table: select album where year < ( select year where album = 'antologie' ) order by year desc limit 1	tarpan seasons
[ header: season \| greek league \| greek cup \| europe \| coach \| roster row 1 : 1928-29 \| champion \| None \| None \| nikos nisiot \| christos svolopoulos row 2 : 1938-39 \| champion \| None \| None \| None \| None row 3 : 1949-50 \| finalist \| None \| None \| None \| None row 4 : 1950-51 \| finalist \| None \| None \| None \| None row 5 : 1952-53 \| champion \| None \| None \| None \| themis cholevas, panagiot row 6 : 1953-54 \| finalist \| None \| None \| None \| None row 7 : 1956-57 \| champion \| None \| None \| None \| antonis christeas, row 8 : 1969-70 \| 3rd place \| _ \| _ \| None \| vasilis goumas row 9 : 1974-75 \| _ \| None \| korac cup last 32 \| None \| vasilis goumas row 10 : 1977-78 \| 3rd place \| last 16 \| korac cup last 16 \| None \| None row 11 : 1978-79 \| _ \| last 8 \| korac cup last 32 \| None \| None row 12 : 1980-81 \| _ \| last 16 \| korac cup last 32 \| None \| None row 13 : 1986-87 \| _ \| finalist \| cup winners' cup last 32 \| nikos pavlou \| giannopoulos, stamati row 14 : 2004-05 \| 12th place \| last 16 \| None \| manos manouselis, \| gary trent, miroslav beric row 15 : 2008-09 \| 6th place \| last 8 \| eurocup last 16 \| elias zouros \| anthony grundy, jurica ] Execute this SQL based on the above table: select count ( distinct greek cup )	4
[ header: year \| site \| winning team \| losing team \| series row 1 : 1904 \| manhattan \| kansas 41 \| kansas state 4 \| ku 3-0 row 2 : 1905 \| lawrence \| kansas 28 \| kansas state 0 \| ku 4-0 row 3 : 1906 \| manhattan \| kansas state 6 \| kansas 4 \| ku 4-1 row 4 : 1912 \| lawrence \| kansas 19 \| kansas state 6 \| ku 9-1 row 5 : 1914 \| lawrence \| kansas 27 \| kansas state 0 \| ku 11-1 row 6 : 1922 \| manhattan \| kansas 7 \| kansas state 7 \| ku 17-1-2 row 7 : 1923 \| lawrence \| kansas 0 \| kansas state 0 \| ku 17-1-3 row 8 : 1926 \| manhattan \| kansas state 27 \| kansas 0 \| ku 17-4-3 row 9 : 1927 \| lawrence \| kansas state 13 \| kansas 2 \| ku 17-5-3 row 10 : 1929 \| lawrence \| kansas state 6 \| kansas 0 \| ku 18-6-3 row 11 : 1933 \| lawrence \| kansas state 6 \| kansas 0 \| ku 20-8-3 row 12 : 1934 \| manhattan \| kansas state 13 \| kansas 0 \| ku 20-9-3 row 13 : 1935 \| lawrence \| kansas 9 \| kansas state 2 \| ku 21-9-3 row 14 : 1936 \| manhattan \| kansas state 26 \| kansas 6 \| ku 21-10-3 row 15 : 1937 \| lawrence \| kansas state 7 \| kansas 0 \| ku 21-11-3 row 16 : 1938 \| manhattan \| kansas 27 \| kansas state 7 \| ku 22-11-3 row 17 : 1940 \| manhattan \| kansas state 20 \| kansas 0 \| ku 22-13-3 row 18 : 1943 \| lawrence \| kansas 25 \| kansas state 2 \| ku 25-13-3 row 19 : 1944 \| manhattan \| kansas state 24 \| kansas 18 \| ku 25-14-3 row 20 : 1945 \| lawrence \| kansas 27 \| kansas state 0 \| ku 26-14-3 row 21 : 1951 \| lawrence \| kansas 33 \| kansas state 14 \| ku 32-14-3 row 22 : 1952 \| manhattan \| (#9) kansas 26 \| kansas state 6 \| ku 33-14-3 row 23 : 1953 \| lawrence \| kansas state 7 \| kansas 0 \| ku 33-15-3 row 24 : 1954 \| manhattan \| kansas state 28 \| kansas 6 \| ku 33-16-3 row 25 : 1958 \| manhattan \| kansas 21 \| kansas state 12 \| ku 36-17-3 row 26 : 1960 \| manhattan \| kansas 41 \| kansas state 0 \| ku 38-17-3 row 27 : 1963 \| lawrence \| kansas 34 \| kansas state 0 \| ku 41-17-3 row 28 : 1966 \| manhattan \| kansas 3 \| kansas state 3 \| ku 43-17-4 row 29 : 1967 \| lawrence \| kansas 17 \| kansas state 16 \| ku 44-17-4 ] Execute this SQL based on the above table: select site order by year desc limit 1	lawrence
[ header: location \| building \| year \| km \| monument row 1 : bischofsheim \| station building \| 1958 \| 8.25 \| row 2 : russelsheim \| linesmen house \| 1863 \| 12.8 \| row 3 : raunheim \| station building \| 1863 \| 15.87 \| row 4 : raunheim \| linesmen house \| 1863 \| 17.39 \| row 5 : kelsterbach \| rail bridge \| 1863 \| 21.75 \| row 6 : kelsterbach \| linesmen house \| 1863 \| 23.6 \| row 7 : kelsterbach \| station building \| 1863 \| 23.81 \| row 8 : stadion \| station building \| 1879 \| 31.37 \| row 9 : niederrad \| station building \| 1882 \| 33.19 \| row 10 : sachsenhausen \| rail bridge \| 1864 \| 34.47 \| ] Execute this SQL based on the above table: select km where building = 'linesmen house'	12.8, 17.39, 23.6
[ 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 title where year < ( select year where title = 'a price above rubies' ) order by year desc limit 1	jude
[ header: # \| date \| opponent \| score \| win \| loss \| save \| attendance \| record row 1 : 85 \| july 1 \| @ marlins \| 9-6 \| balester (1-0) \| hendrickson (7-7) \| None \| 12166 \| 34-51 row 2 : 86 \| july 2 \| @ marlins \| 4-2 \| nolasco (9-4) \| manning (0-2) \| None \| 23624 \| 34-52 row 3 : 87 \| july 3 \| @ reds \| 5-3 \| cueto (7-8) \| colome (2-2) \| cordero (16) \| 23259 \| 34-53 row 4 : 88 \| july 4 \| @ reds \| 3-0 \| arroyo (6-7) \| bergmann (1-6) \| cordero (17) \| 22626 \| 34-54 row 5 : 89 \| july 5 \| @ reds \| 3-2 \| cordero (4-1) \| hanrahan (5-3) \| None \| 37121 \| 34-55 row 6 : 90 \| july 6 \| @ reds \| 6-5 \| volquez (11-3) \| balester (1-1) \| cordero (18) \| 28814 \| 34-56 row 7 : 91 \| july 8 \| d-backs \| 2-0 \| webb (13-4) \| perez (2-6) \| lyon (19) \| 26820 \| 34-57 row 8 : 92 \| july 9 \| d-backs \| 5-0 \| lannan (5-9) \| owings (6-8) \| None \| 25862 \| 35-57 row 9 : 93 \| july 10 \| d-backs \| 7-5 (11) \| qualls (2-6) \| ayala (1-5) \| None \| 27330 \| 35-58 row 10 : 96 \| july 13 \| astros \| 5-0 \| backe (6-9) \| perez (2-7) \| None \| 31463 \| 36-60 row 11 : 97 \| july 18 \| @ braves \| 7-6 \| hudson (10-7) \| redding (7-4) \| gonzalez (4) \| 39861 \| 36-61 row 12 : 98 \| july 19 \| @ braves \| 8-2 \| lannan (6-9) \| jurrjens (9-5) \| None \| 43285 \| 37-61 row 13 : 99 \| july 20 \| @ braves \| 15-6 \| perez (3-7) \| reyes (3-9) \| None \| 29320 \| 38-61 row 14 : 100 \| july 22 \| @ giants \| 6-3 \| zito (5-12) \| bergmann (1-7) \| wilson (26) \| 34813 \| 38-62 row 15 : 101 \| july 23 \| @ giants \| 6-4 \| espineli (1-0) \| ayala (1-6) \| wilson (27) \| 35539 \| 38-63 row 16 : 102 \| july 24 \| @ giants \| 1-0 \| cain (6-8) \| redding (7-5) \| None \| 36963 \| 38-64 row 17 : 103 \| july 25 \| @ dodgers \| 3-2 \| billingsley (10-9) \| lannan (6-10) \| broxton (3) \| 47313 \| 38-65 row 18 : 104 \| july 26 \| @ dodgers \| 6-0 \| lowe (8-8) \| perez (3-8) \| None \| 42122 \| 38-66 row 19 : 105 \| july 27 \| @ dodgers \| 2-0 \| kershaw (1-3) \| bergmann (1-8) \| broxton (4) \| 38660 \| 38-67 row 20 : 106 \| july 29 \| phillies \| 2-1 \| myers (4-9) \| balester (1-3) \| lidge (25) \| 34039 \| 38-68 row 21 : 107 \| july 30 \| phillies \| 8-5 \| moyer (10-6) \| redding (7-6) \| lidge (26) \| 31798 \| 38-69 ] Execute this SQL based on the above table: select count ( distinct opponent ) where loss != 'perez (2-7)'	7
[ header: name \| audition taken in \| gang \| notes row 1 : nauman sait \| bangalore \| om blues \| winner of season 6 : hell down under. row 2 : longkiri timung (kiri) \| kolkata \| om blues \| runner-up. won a hero row 3 : gurmeet kaur johal \| bangalore \| om blues \| won a hero honda kariz row 4 : natasha sinha \| chandigarh \| brats \| voted out in the 11th episode. brought row 5 : puneet malhotra (su \| mumbai \| None \| won a hero honda kariz row 6 : paulami de \| kolkata \| om blues \| voted out in the 12th episode row 7 : samrat kaushal \| ahmedabad \| om blues \| won a hero honda kariz row 8 : tamanna sharma ( \| chandigarh \| om blues \| got a hero honda kariz row 9 : sandeep singh (sandy \| new delhi \| brats \| voted out in the 7th episode row 10 : bobby chopra \| new delhi \| brats \| evicted in the 7th episode by row 11 : pradeep singh \| new delhi \| brats \| evicted in the 7th episode by row 12 : suzanna mukherjee ( \| mumbai \| brats \| voted out in the 6th episode row 13 : roop bhinder \| new delhi \| brats \| voted out in the 5th episode row 14 : devarshi patel (dev) \| ahmedabad \| om blues \| eliminated himself in the 5th episode by voluntarily row 15 : varisha hawelia \| kolkata \| om blues \| voted out in the 2nd episode row 16 : sonia chauhan \| chandigarh \| None \| evicted in the 1st episode row 17 : bhanu pratap singh ran \| ahmedabad \| None \| evicted in the 1st episode row 18 : neha kapoor \| new delhi \| None \| evicted in the 1st episode row 19 : ankur khanduja \| chandigarh \| None \| evicted in the 1st episode ] Execute this SQL based on the above table: select audition taken in where id = ( select id where audition taken in = 'chandigarh' ) + 1	mumbai
[ header: central division v t e \| w \| l \| pct \| gb \| home \| road \| div row 1 : y-atlanta hawks \| 50 \| 32 \| 0.61 \| None \| 32-9 \| 18-23 \| 21-9 row 2 : x-houston rockets \| 41 \| 41 \| 0.5 \| 9 \| 29-12 \| 12-29 \| 20-10 row 3 : x-san antonio \| 41 \| 41 \| 0.5 \| 9 \| 27-14 \| 14-27 \| 14-16 row 4 : cleveland cavaliers \| 37 \| 45 \| 0.451 \| 13 \| 28-13 \| 9-32 \| 16-14 row 5 : indiana pacers \| 37 \| 45 \| 0.451 \| 13 \| 26-15 \| 11-30 \| 15-15 row 6 : detroit pistons \| 16 \| 66 \| 0.195 \| 34 \| 13-28 \| 3-38 \| 4-26 ] Execute this SQL based on the above table: select w order by l desc limit 1	16
[ header: season \| division \| w-l \| finish \| home \| road \| gf \| ga \| coach \| playoffs \| avg attendance row 1 : 2006 \| western \| 1-15 \| 6th \| 0-8 \| 1-7 \| 150 \| 202 \| paul day \| missed playoffs \| 10367 row 2 : 2007 \| western \| 6-10 \| 5th \| 4-4 \| 2-6 \| 160 \| 189 \| paul day \| missed playoffs \| 10815 row 3 : 2008 \| western \| 4-12 \| 5th \| 3-5 \| 1-7 \| 141 \| 197 \| paul day (0-5) bob ham \| missed playoffs \| 8820 row 4 : 2009 \| western \| 5-11 \| 6th \| 4-4 \| 1-7 \| 159 \| 200 \| bob hamley \| missed playoffs \| 8347 row 5 : 2010 \| western \| 10-6 \| 3rd \| 5-3 \| 5-3 \| 186 \| 201 \| derek keenan \| lost in western final \| 7558 row 6 : 2011 \| western \| 5-11 \| 5th \| 4-4 \| 1-7 \| 175 \| 204 \| derek keenan \| missed playoffs \| 7151 row 7 : 2012 \| western \| 6-10 \| 4th \| 4-4 \| 2-6 \| 167 \| 175 \| derek keenan \| lost in final \| 7050 row 8 : 2013 \| western \| 9-7 \| 3rd \| 2-6 \| 7-1 \| 203 \| 170 \| derek keenan \| lost in western semi-final \| 6714 row 9 : total \| 8 seasons \| 46-82 \| None \| 26-38 \| 20-44 \| 1341 \| 1538 \| None \| None \| 8353 row 10 : playoff totals \| None \| 3-3 \| None \| 0-0 \| 3-3 \| 73 \| 54 \| None \| None \| None ] Execute this SQL based on the above table: select home where season < ( select season where home = '4-4' ) order by season desc limit 1	0-8
[ header: date \| result \| opponent \| event \| location \| method \| round \| time row 1 : 2013-12-14 \| loss \| mohamed diaby \| victory, semi finals \| paris, france \| decision \| 3 \| 3:00 row 2 : 2013-03-09 \| None \| juanma chacon \| enfusion live: barcelona \| barcelona, spain \| None \| None \| None row 3 : 2012-05-27 \| loss \| murthel groenhart \| k-1 world max 2012 world championship tournament final \| madrid, spain \| ko (punches) \| 3 \| 3:00 row 4 : 2012-02-11 \| win \| francesco tadiello \| sporthal de zandbergen \| sint-job-in-'t- \| ko \| 1 \| None row 5 : 2012-01-28 \| win \| chris ngimbi \| it's showtime 2012 in leeu \| leeuwarden, netherlands \| tko (cut) \| 2 \| 1:22 row 6 : 2011-09-24 \| loss \| andy souwer \| bfn group & music hall presents \| brussels, belgium \| extra round decision (split) \| 4 \| 3:00 row 7 : 2011-04-09 \| win \| lahcen ait ouss \| le grande ko xi \| liege, belgium \| ko \| 1 \| None row 8 : 2011-02-12 \| win \| henri van opstal \| war of the ring \| amsterdam, netherlands \| decision (unanimous) \| 3 \| 3:00 row 9 : 2010-09-10 \| win \| edson fortes \| ring sensation gala \| utrecht, netherlands \| decision \| 3 \| 3:00 row 10 : 2010-03-21 \| loss \| mohamed khamal \| k-1 world max 2010 west europe tournament \| utrecht, netherlands \| ko (punch) \| 2 \| None row 11 : 2009-11-21 \| win \| seo doo won \| it's showtime 2009 barneveld \| barneveld, netherlands \| tko (referee stop \| 1 \| None row 12 : 2009-09-24 \| win \| chris ngimbi \| it's showtime 2009 lommel \| lommel, belgium \| extra round decision \| 4 \| 4:00 row 13 : 2009-04-11 \| win \| farid riffi \| almelo fight for delight \| almelo, netherlands \| tko \| None \| None row 14 : 2009-03-14 \| win \| viktor sarezki \| war of the ring \| belgium \| ko (punch to the body) \| 1 \| None row 15 : 2009-02-21 \| win \| pedro sedarous \| turnhout gala \| turnhout, belgium \| decision \| 5 \| 3:00 row 16 : 2009-01-31 \| win \| dahou naim \| tielrode gala \| tielrode, belgium \| 2nd extra round decision \| 5 \| 3:00 row 17 : 2008-09-20 \| win \| abdallah mabel \| s-cup europe 2008, reserve bout \| gorinchem, netherlands \| decision \| 3 \| 3:00 row 18 : 2008-09-14 \| win \| jordy sloof \| the outland rumble \| rotterdam, netherlands \| ko (right cross) \| 1 \| None row 19 : 2008-03-08 \| win \| naraim ruben \| lommel gala \| lommel, belgium \| tko (retirement) \| 3 \| None row 20 : 2008-02-23 \| win \| pierre petit \| st. job gala \| st. job, belgium \| ko (right punch) \| 2 \| None ] Execute this SQL based on the above table: select round where round = 3 order by round desc limit 1	3
[ header: sl no \| constituency name \| constituency number \| member of legislative assembly \| political party row 1 : 2 \| abhayapuri south \| 35 \| chandan kumar sarkar \| indian national congress row 2 : 4 \| amguri \| 103 \| anjan dutta \| indian national congress row 3 : 9 \| barhampur \| 87 \| prafulla kumar mahanta \| asom gana parishad row 4 : 15 \| bihali \| 77 \| pallab lochan das \| indian national congress row 5 : 16 \| bihpuria \| 109 \| bhupen kumar bor \| indian national congress row 6 : 17 \| bijni \| 33 \| kamalshing narzary \| bodoland peoples front row 7 : 21 \| bokajan \| 17 \| klengdoon engti \| indian national congress row 8 : 35 \| dhemaji \| 113 \| sumitra doley patir \| indian national congress row 9 : 49 \| gauripur \| 24 \| banendra kumar mushahary \| bodoland peoples front row 10 : 53 \| golakganj \| 25 \| abu taher bepari \| indian national congress row 11 : 56 \| hajo \| 55 \| dwipen pathak \| all india trinamool congress row 12 : 59 \| howraghat \| 18 \| khorsing engti \| indian national congress row 13 : 60 \| jagiroad \| 79 \| bibekananda dalai \| indian national congress row 14 : 62 \| jalukbari \| 51 \| himanta biswa sarma \| indian national congress row 15 : 63 \| jamunamukh \| 90 \| mohammed sirajuddin a \| all india united democratic front row 16 : 64 \| jania \| 44 \| rafiqul islam \| all india united democratic front row 17 : 65 \| jonai \| 114 \| pradan baruah \| indian national congress row 18 : 73 \| katlicherra \| 7 \| gautam roy \| indian national congress row 19 : 76 \| kokrajhar west \| 29 \| pradip kumar brahma \| bodoland peoples front row 20 : 83 \| majuli \| 99 \| sri rajib lochan \| indian national congress row 21 : 87 \| mazbat \| 70 \| rakheswar brahma \| bodoland peoples front row 22 : 95 \| nowgong \| 86 \| dr. durlav chandra \| indian national congress row 23 : 101 \| rangapara \| 74 \| bhimananda tanti \| indian national congress row 24 : 105 \| sadiya \| 126 \| bolin chetia \| indian national congress row 25 : 111 \| sidli \| 31 \| sri chandan brahm \| bodoland peoples front row 26 : 114 \| sonai \| 10 \| anamul haque \| indian national congress row 27 : 115 \| sonari \| 106 \| sarat borkotoky \| indian national congress row 28 : 116 \| sootea \| 75 \| padma hazarika \| asom gana parishad row 29 : 119 \| teok \| 102 \| membar gogoi \| indian national congress row 30 : 122 \| tingkhong \| 119 \| atuwa munda \| indian national congress row 31 : 123 \| tinsukia \| 122 \| rajendra prasad singh \| indian national congress ] Execute this SQL based on the above table: select political party where sl no = 62	indian national congress
[ header: name \| elected \| term began \| term ended row 1 : john t. jordan \| elected july 10, 1871 \| 1871 \| 1872 row 2 : john collins \| elected july 14, 1873 \| 1873 \| 1874 row 3 : henry yesler \| elected july 13, 1874 \| 1874 \| 1875 row 4 : gideon a. weed \| elected july 10, 1876 and ju \| 1876 \| 1878 row 5 : leonard purley smith \| elected july 12, 1880 and ju \| 1880 \| 1882 row 6 : henry g. struve \| elected july 10, 1882 and ju \| 1882 \| 1884 row 7 : john leary \| elected july 14, 1884 \| 1884 \| 1885 row 8 : henry yesler \| elected july 13, 1885 \| 1885 \| 1886 row 9 : dr. thomas t \| elected july 11, 1887 \| 1887 \| 1888 row 10 : harry white \| elected july 14, 1890 resigned \| 1890 \| 1891 row 11 : byron phelps \| elected march 12, 1894 \| 1894 \| 1896 row 12 : richard a. ballinger \| elected march 8, 1904 \| 1904 \| 1906 row 13 : john f. miller \| elected march 3, 1908 \| 1908 \| 1910 row 14 : george w. dilling \| appointed february 10, 1911[citation needed] \| 1912 \| None row 15 : george f. cotterill \| elected march 5, 1912 \| 1912 \| 1914 row 16 : ole hanson \| elected march 5, 1918 resigned august 28, 1919 \| 1918 \| 1919 row 17 : hugh m. caldwell \| elected march 2, 1920 \| 1920 \| 1922 row 18 : edwin j. brown \| elected may 2, 1922 and march 4, 1924 \| 1922 \| 1926 row 19 : frank e. edward \| elected march 6, 1928 and march 4, 1930 recalled \| 1928 \| 1931 row 20 : robert h. harl \| appointed july 14, 1931 \| 1931 \| 1932 row 21 : charles l. smith \| elected march 6, 1934 \| 1934 \| 1936 row 22 : john f. dore \| elected march 3, 1936 became gravely ill and \| 1936 \| 1938 row 23 : arthur b. langlie \| elected march 8, 1938 appointed to take office early, \| 1938 \| 1941 row 24 : john e. carroll \| appointed january 27, 1941 \| 1941 \| 1941 row 25 : william f. devin \| elected march 3, 1942, march 7, 1944, march \| 1942 \| 1952 row 26 : allan pomeroy \| elected march 4, 1952 \| 1952 \| 1956 row 27 : gordon s. clinton \| elected march 6, 1956 and march 8, 1960 \| 1956 \| 1964 row 28 : james d'orma bra \| elected march 10, 1964 resigned march 23, 1969 \| 1964 \| 1969 row 29 : floyd c. miller \| appointed march 23, 1969 \| 1969 \| 1969 row 30 : wesley c. uhlman \| elected november 4, 1969 and november \| december 1, 1969 \| january 1, 1978 row 31 : charles royer \| elected november 8, 1977, november \| january 1, 1978 \| january 1, 1990 ] Execute this SQL based on the above table: select elected order by id desc limit 1	elected november 8, 1977, november 3, 1981, and november 5, 1985
[ header: year \| film \| role \| language \| notes row 1 : 2007 \| chirutha \| sanjna \| telugu \| debut telugu film row 2 : 2009 \| kurradu \| hema \| telugu \| None row 3 : 2010 \| crook: it's good to be \| suhani \| hindi \| debut hindi film row 4 : 2012 \| teri meri kahaani \| meera \| hindi \| special appearance row 5 : 2012 \| kyaa super kool \| simran \| hindi \| None row 6 : 2013 \| jayantabhai ki \| simran \| hindi \| None row 7 : 2013 \| yamla pagla deewana \| suman \| hindi \| None row 8 : 2014 \| youngistaan \| anwita chauhan \| hindi \| None ] Execute this SQL based on the above table: select abs ( ( select year where role = 'simran' ) - ( select year where role = 'meera' ) )	0
[ header: pos \| no \| driver \| team \| laps \| time/retired \| grid \| points row 1 : 1 \| 6 \| michael andretti \| newman-haas racing \| 150 \| 1:33:39.268 \| 8 \| 20+1 row 2 : 2 \| 99 \| greg moore \| forsythe racing \| 150 \| 0.075 \| 1 \| 16+1 row 3 : 3 \| 1 \| alex zanardi \| chip ganassi racing \| 150 \| 0.918 \| 6 \| 14 row 4 : 4 \| 11 \| christian fittipaldi \| newman-haas racing \| 150 \| 3.359 \| 4 \| 12 row 5 : 5 \| 20 \| scott pruett \| patrick racing \| 150 \| 5.257 \| 12 \| 10 row 6 : 6 \| 40 \| adrian fernandez \| patrick racing \| 150 \| 5.926 \| 5 \| 8 row 7 : 7 \| 5 \| gil de ferran \| walker racing \| 150 \| 6.81 \| 11 \| 6 row 8 : 8 \| 8 \| bryan herta \| team rahal \| 150 \| 9.866 \| 16 \| 5 row 9 : 9 \| 27 \| dario franchitti \| team kool green \| 150 \| 10.275 \| 13 \| 4 row 10 : 10 \| 17 \| mauricio gugelmin \| pacwest racing group \| 150 \| 10.855 \| 10 \| 3 row 11 : 11 \| 33 \| patrick carpentier \| forsythe racing \| 150 \| 11.382 \| 9 \| 2 row 12 : 12 \| 18 \| mark blundell \| pacwest racing group \| 150 \| 29.029 \| 7 \| 1 row 13 : 13 \| 10 \| richie hearn \| della penna motorsports \| 149 \| +1 lap \| 15 \| None row 14 : 14 \| 9 \| jj lehto \| hogan racing \| 149 \| +1 lap \| 29 \| None row 15 : 15 \| 15 \| roberto moreno \| project indy \| 149 \| +1 lap \| 23 \| None row 16 : 16 \| 12 \| jimmy vasser \| chip ganassi racing \| 148 \| +2 laps \| 3 \| None row 17 : 17 \| 3 \| andre ribeiro \| marlboro team penske \| 148 \| +2 laps \| 2 \| None row 18 : 18 \| 36 \| alex barron \| all american racing \| 148 \| +2 laps \| 27 \| None row 19 : 19 \| 7 \| bobby rahal \| team rahal \| 147 \| +3 laps \| 17 \| None row 20 : 20 \| 98 \| p. j. jones \| all american racing \| 146 \| +4 laps \| 26 \| None row 21 : 21 \| 77 \| arnd meier \| davis racing \| 136 \| +14 laps \| 28 \| None row 22 : 22 \| 2 \| al unser, jr \| marlboro team penske \| 122 \| transmission \| 14 \| None row 23 : 23 \| 24 \| hiro matsushita \| arciero-wells racing \| 121 \| contact \| 24 \| None row 24 : 24 \| 16 \| helio castro-neves \| bettenhausen racing \| 97 \| contact \| 22 \| None row 25 : 25 \| 34 \| dennis vitolo \| payton/coyne racing \| 90 \| withdrew \| 25 \| None row 26 : 26 \| 25 \| max papis \| arciero-wells racing \| 83 \| wheel bearing \| 20 \| None row 27 : 27 \| 26 \| paul tracy \| team kool green \| 79 \| suspension \| 21 \| None row 28 : 28 \| 19 \| michel jourdain jr \| payton/coyne racing \| 78 \| handling \| 19 \| None row 29 : 29 \| 21 \| tony kanaan \| tasman motorsports group \| 32 \| contact \| 18 \| None ] Execute this SQL based on the above table: select time/retired where driver = 'jimmy vasser'	2.0
[ header: country \| alternante title \| tv network(s) \| series premiere \| series finale row 1 : mexico \| la fuerza del destino \| canal de las estrellas \| march 14, 2011 \| july 31, 2011 row 2 : colombia \| la fuerza del destino \| rcn tv \| may 2, 2011 \| september 20, 2011 row 3 : venezuela \| la fuerza del destino \| venevision \| may 5, 2011 \| september 20, 2011 row 4 : peru \| la fuerza del destino \| america tv \| may 23, 2011 \| november 11, 2011 row 5 : usa \| la fuerza del destino \| univision \| august 2, 2011 \| december 26, 2011 row 6 : albania \| forca e fatit \| vizion plus \| august 29, 2011 \| january 9, 2012 row 7 : poland \| miłosc i przeznac \| tv puls \| september 5, 2011 \| february 7, 2012 row 8 : serbia \| tajna ljuba \| rtv pink pink soap \| september 12, 2011 july 3, 2013 \| april 13, 2012 octo row 9 : spain \| la fuerza del destino \| la 1 \| september 21, 2011 \| january 25, 2012 row 10 : bosnia and herzegovin \| tajna ljuba \| pink bh \| november 22, 2011 \| may 16, 2012 row 11 : montenegro \| tajna ljuba \| pink m \| december 19, 2011 \| may 2, 2012 row 12 : lithuania \| likimo galia \| tv3 \| january 4, 2012 \| may 31, 2012 row 13 : hungary \| a vegzet hatal \| story4 \| january 9, 2012 \| june 1, 2012 row 14 : panama \| la fuerza del destino \| canal 13 \| january 16, 2012 \| may 7, 2012 row 15 : chile \| la fuerza del destino \| mega tv \| january 31, 2012 \| april 19, 2012 row 16 : romania \| forta destinului \| acasa tv \| march 26, 2012 \| may 28, 2012 row 17 : iran \| the power of destiny \| farsi1 \| march 10, 2012 \| july 28, 2012 row 18 : israel \| כוחו של גורל \| viva \| april 19, 2012 \| september 21, 2012 row 19 : croatia \| moc sudbine \| hrt \| june 5, 2012 \| october 9, 2012 row 20 : slovenia \| moc usode \| pop tv \| july 12, 2012 \| november 30, 2012 row 21 : macedonia \| силата на судб \| pink 15 \| 2011 \| 2011 row 22 : morocco \| al maktoub المكتوب \| 2m tv \| august 14, 2013 \| january 2, 2014 row 23 : cyprus \| η εκδικηση \| ant1 \| october 15, 2013 \| present row 24 : france \| la force du destin \| idf1 \| september 23, 2013 \| december 2, 2013 row 25 : cameroon \| la force du destin \| canal 2 international \| september 23, 2013 \| december 2, 2014 row 26 : romania \| forta destinului \| acasa tv \| february 7, 2014 \| present ] Execute this SQL based on the above table: select count ( distinct tv network(s) )	25
[ header: place \| player \| country \| score \| to par \| money ($) row 1 : 1 \| ben hogan \| united states \| 70-72-70-68=280 \| -8 \| 3,000 row 2 : 2 \| skee riegel \| united states \| 73-68-70-71=28 \| -6 \| 1,875 row 3 : t3 \| lloyd mangrum \| united states \| 69-74-70-73=2 \| -2 \| 1162 row 4 : t3 \| lew worsham \| united states \| 71-71-72-72=2 \| -2 \| 1162 row 5 : 5 \| dave douglas \| united states \| 74-69-72-73=2 \| e \| 750 row 6 : 6 \| lawson little \| united states \| 72-73-72-72=289 \| +1 \| 600 row 7 : 7 \| jim ferrier \| australia \| 74-70-74-72=290 \| +2 \| 525 row 8 : t8 \| johnny bulla \| united states \| 71-72-73-75=2 \| +3 \| 450 row 9 : t8 \| byron nelson \| united states \| 71-73-73-74=2 \| +3 \| 450 row 10 : t8 \| sam snead \| united states \| 69-74-68-80=2 \| +3 \| 450 ] Execute this SQL based on the above table: select place where player = 'lawson little'	6
[ header: interferometer and observing mode \| waveband \| limiting magnitude \| minimum baseline (m) (un-projected) \| maximum baseline (m) \| approx. no. visibility measurements per year (measurements per night x nights used per year) \| max ratio of no. phase / no. amplitude measurements (measure of imaging performance, 0 = none) \| accuracy of amplitude2 measurements \| accuracy of phase measurements (milli-radians) \| number of spectral channels (max in use simultaneously) \| comments row 1 : chara array \| v, r, i, \| 8 \| 34 \| 330 \| 7500 \| 0.7 \| 1% \| 10 \| 30000 \| yes... 30000 in the visible band; max row 2 : coast visible \| r, i \| 7 \| 4 \| 60 \| 2000 \| 0.5 \| 4% \| 10 \| 4 \| 300 cloudy nights per year, maximum baseline 100 row 3 : coast infrared \| j, h \| 3 \| 4 \| 60 \| 100 \| 0.5 \| 20% \| 10 \| 1 \| 300 cloudy nights per year, maximum baseline 100 row 4 : gi2t visible \| r, i \| 5 \| 10 \| 65 \| 2000 \| 0 \| 10% \| None \| 400 \| closed in 2006 row 5 : iota \| j, h, k \| 7 \| 6 \| 30 \| 10000 \| 0.3 \| 2% \| 10 \| 1 \| integrated optics beam combiner. closed row 6 : isi \| n \| 0 \| 10 \| 50 \| 5000 \| 0.3 \| 1% \| 1 \| 1000 \| maximum baseline 70-m row 7 : keck interferometer \| h, k, l, \| 10.3 \| 85 \| 85 \| 1000 \| 0 \| 4% \| 1 \| 330 \| nulling key science underway - no imaging on row 8 : keck aperture masking \| j, h, k, \| 2 \| 0.5 \| 9 \| 20000 \| 0.9 \| 20% \| 10 \| 1 \| closed row 9 : mira 1.2 \| r, i \| 3 \| 30 \| 30 \| 500 \| 0 \| 10% \| None \| 1 \| mid-infrared row 10 : navy precision optical interferometer(npo \| v, r, i \| 5 \| 5 \| 300 \| 50000 \| 0.7 \| 4% \| 10 \| 16 \| at nofs; siderstats operational row 11 : susi \| b, v, r, \| 5 \| 5 \| 640 \| 5000 \| 0 \| 4% \| 10 \| 21 \| no imaging on a single baseline instrument; maximum row 12 : vlti +uts am \| j, h, k simultaneously \| 7 \| 46 \| 130 \| 400 \| 0.3 \| 1% \| 10 \| 2000 \| used for a few weeks per year. longest row 13 : vlti +ats amber \| j, h, k simultaneously \| 4 \| 46 \| 130 \| 400 \| 0.3 \| 1% \| 10 \| 2000 \| longest overall vlti baseline 130m row 14 : vlti +uts \| k \| 11 \| 46 \| 130 \| 400 \| 0 \| >1% \| None \| 1 \| integrated optics beam combiner. longest overall row 15 : vlti +ats v \| k \| never checked \| 12 \| 200 \| 400 \| 0 \| >1% \| None \| 1 \| longest overall vlti baseline 130m row 16 : vlti +ats midi \| n \| 4.5 \| None \| 200 \| 200 \| 0 \| 10% \| None \| 250 \| vlti inldes world' ] Execute this SQL based on the above table: select maximum baseline (m) where accuracy of amplitude2 measurements = '10%'	65.0, 30.0, 200.0