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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: constituency number \| name \| reserved for (sc/st/none) \| district \| number of electorates (2009) row 1 : 43 \| tikamgarh \| none \| tikamgarh \| 153339 row 2 : 44 \| jatara \| sc \| tikamgarh \| 145555 row 3 : 45 \| prithvipur \| none \| tikamgarh \| 139110 row 4 : 46 \| niwari \| none \| tikamgarh \| 141265 row 5 : 47 \| khargapur \| none \| tikamgarh \| 161546 row 6 : 48 \| maharajpur \| none \| chhatarpur \| 162460 row 7 : 51 \| chhatarpur \| none \| chhatarpur \| 152605 row 8 : 52 \| bijawar \| none \| chhatarpur \| 151159 row 9 : total \| total \| total \| total \| 1207.039 ] Execute this SQL based on the above table: select reserved for (sc/st/none) order by number of electorates (2009) asc limit 1	total
[ header: date \| round \| opponent \| venue \| result \| attendance \| scorers row 1 : 16 september 1992 \| r1 \| lyngby \| h \| 2-0 \| 40036 \| hateley, huistra row 2 : 30 september 1992 \| r1 \| lyngby \| a \| 1-0 \| 4273 \| durrant row 3 : 21 october 1992 \| r2 \| leeds united \| h \| 2-1 \| 43251 \| mccoist, lukic row 4 : 4 november 1992 \| r2 \| leeds united \| a \| 2-1 \| 25118 \| hateley, mccoist row 5 : 25 november 1992 \| gs \| marseille \| h \| 2-2 \| 41624 \| mcswegan, hateley row 6 : 9 december 1992 \| gs \| cska moscow \| a \| 1-0 \| 9000 \| ferguson row 7 : 3 march 1993 \| gs \| club brugge \| a \| 1-1 \| 19000 \| huistra row 8 : 17 march 1993 \| gs \| club brugge \| h \| 2-1 \| 42731 \| durrant, nisbet row 9 : 7 april 1993 \| gs \| marseille \| a \| 1-1 \| 46000 \| durrant row 10 : 21 april 1993 \| gs \| cska moscow \| h \| 0-0 \| 43142 \| None ] Execute this SQL based on the above table: select ( select attendance where venue = 'a' ) - ( select attendance where venue = 'a' )	0.0
[ header: year \| date \| winner \| result \| loser \| attendance \| location row 1 : 1980 \| oct 19 \| chicago bears \| 24-7 \| detroit lions \| None \| chicago, illinois row 2 : 1980 \| nov 27 \| chicago bears \| 23-17 (ot) \| detroit lions \| 58508 \| pontiac, michigan row 3 : 1981 \| oct 19 \| detroit lions \| 48-17 \| chicago bears \| 75397 \| pontiac, michigan row 4 : 1981 \| nov 22 \| detroit lions \| 23-7 \| chicago bears \| 71273 \| chicago, illinois row 5 : 1982 \| sept 12 \| detroit lions \| 17-10 \| chicago bears \| 50082 \| pontiac, michigan row 6 : 1982 \| nov 21 \| chicago bears \| 20-17 \| detroit lions \| 46783 \| chicago, illinois row 7 : 1983 \| oct 16 \| detroit lions \| 31-17 \| chicago bears \| 66709 \| pontiac, michigan row 8 : 1983 \| oct 30 \| detroit lions \| 38-17 \| chicago bears \| 58764 \| chicago, illinois row 9 : 1984 \| nov 18 \| chicago bears \| 16-14 \| detroit lions \| 54911 \| chicago, illinois row 10 : 1984 \| dec 16 \| chicago bears \| 30-13 \| detroit lions \| 53252 \| pontiac, michigan row 11 : 1985 \| nov 10 \| chicago bears \| 24-3 \| detroit lions \| 53467 \| chicago, illinois row 12 : 1985 \| dec 22 \| chicago bears \| 37-17 \| detroit lions \| 74042 \| pontiac, michigan row 13 : 1986 \| oct 26 \| chicago bears \| 13-7 \| detroit lions \| 62064 \| chicago, illinois row 14 : 1986 \| dec 15 \| chicago bears \| 16-13 \| detroit lions \| 75602 \| pontiac, michigan row 15 : 1987 \| nov 22 \| chicago bears \| 30-10 \| detroit lions \| 63357 \| chicago, illinois row 16 : 1988 \| oct 9 \| chicago bears \| 24-7 \| detroit lions \| 64526 \| pontiac, michigan row 17 : 1988 \| dec 11 \| chicago bears \| 13-12 \| detroit lions \| 55010 \| chicago, illinois row 18 : 1989 \| sept 24 \| chicago bears \| 47-27 \| detroit lions \| 71418 \| pontiac, michigan row 19 : 1989 \| dec 10 \| detroit lions \| 27-17 \| chicago bears \| 52650 \| chicago, illinois ] Execute this SQL based on the above table: select ( select location where date = 'dec 11' ) - ( select result where date = 'dec 11' )	-13
[ header: frequency band \| band number \| radio interface \| generation \| status \| notes row 1 : 850 mhz \| 5 \| gsm/gprs/ \| 2g \| roaming \| not operated by t-mobile, except for row 2 : 850 mhz clr \| 5 \| umts/hspa \| 3g \| roaming \| not operated by t-mobile. after the row 3 : 1900 mhz \| 2 \| gsm/gprs/ \| 2g \| in service \| most of this spectrum will be upgraded to 4g row 4 : 1700/2100 mhz a \| 4 \| umts/dc-hspa 42 \| 4g \| in service \| has marketed 3g hspa+ as row 5 : 1900 mhz pcs \| 2 \| umts/hspa+ 21mbit \| 4g \| in service/building out \| hspa+ 21mbps on the 1900 row 6 : 1700/2100 mhz a \| 4 \| lte \| 4g \| in service/building out \| covers 210 million pops as of march, row 7 : 700 mhz block a \| 12 \| lte \| 4g \| rollout starts by q4 2014 \| spectrum acquired from verizon wireless row 8 : 1900 mhz pcs \| 2 \| lte \| 4g \| rolling out in 2014 \| None ] Execute this SQL based on the above table: select ( select band number where status = 'in service/building out' ) - ( select band number where status = 'rollout starts by q4 2014' )	-10.0
[ header: \| average population (x 1000) \| live births \| deaths \| natural change \| crude birth rate (per 1000) \| crude death rate (per 1000) \| natural change (per 1000) row 1 : 1970 \| 31 \| 683 \| 356 \| 327 \| 22.0 \| 11.5 \| 10.5 row 2 : 1975 \| 33 \| 706 \| 374 \| 332 \| 21.4 \| 11.3 \| 10.1 row 3 : 1980 \| 35 \| 701 \| 351 \| 350 \| 20.0 \| 10.0 \| 10.0 row 4 : 1985 \| 37 \| 793 \| 289 \| 504 \| 21.4 \| 7.8 \| 13.6 row 5 : 1990 \| 38 \| 635 \| 342 \| 293 \| 16.9 \| 9.1 \| 7.8 row 6 : 1991 \| 38 \| 623 \| 350 \| 273 \| 16.6 \| 9.3 \| 7.3 row 7 : 1992 \| 37 \| 611 \| 369 \| 242 \| 16.7 \| 10.1 \| 6.6 row 8 : 1993 \| 34 \| 459 \| 433 \| 26 \| 13.3 \| 12.6 \| 0.8 row 9 : 1994 \| 32 \| 433 \| 460 \| - 27 \| 13.5 \| 14.3 \| -0.8 row 10 : 1995 \| 31 \| 382 \| 481 \| - 99 \| 12.5 \| 15.8 \| -3.2 row 11 : 1996 \| 29 \| 374 \| 436 \| - 62 \| 12.7 \| 14.8 \| -2.1 row 12 : 1997 \| 29 \| 373 \| 400 \| - 27 \| 13.0 \| 13.9 \| -0.9 row 13 : 1998 \| 28 \| 396 \| 355 \| 41 \| 14.2 \| 12.7 \| 1.5 row 14 : 1999 \| 27 \| 319 \| 397 \| - 78 \| 11.8 \| 14.7 \| -2.9 row 15 : 2000 \| 26 \| 289 \| 391 \| - 102 \| 11.0 \| 14.9 \| -3.9 row 16 : 2001 \| 26 \| 298 \| 390 \| - 92 \| 11.6 \| 15.1 \| -3.6 row 17 : 2002 \| 25 \| 310 \| 376 \| - 66 \| 12.3 \| 14.9 \| -2.6 row 18 : 2003 \| 24 \| 268 \| 462 \| - 194 \| 11.0 \| 19.0 \| -8.0 row 19 : 2004 \| 24 \| 339 \| 463 \| - 124 \| 14.4 \| 19.7 \| -5.3 row 20 : 2005 \| 23 \| 294 \| 466 \| - 172 \| 12.9 \| 20.5 \| -7.6 row 21 : 2006 \| 22 \| 270 \| 366 \| - 96 \| 12.3 \| 16.7 \| -4.4 row 22 : 2007 \| 21 \| 280 \| 351 \| - 71 \| 13.2 \| 16.5 \| -3.3 row 23 : 2008 \| 20 \| 267 \| 368 \| - 101 \| 13.0 \| 18.0 \| -4.9 row 24 : 2009 \| 20 \| 268 \| 365 \| - 97 \| 13.6 \| 18.5 \| -4.9 row 25 : 2010 \| 19 \| 233 \| 397 \| - 164 \| 12.3 \| 20.9 \| -8.7 ] Execute this SQL based on the above table: select ( select crude death rate (per 1000) where id = 1 ) >= '7.8'	1
[ header: team name \| leagues \| base \| year started \| year ended \| notable riders row 1 : aldershot shots \| national league division three \| tongham greyhound stadium \| 1950 \| 1960 \| None row 2 : bristol bulldogs \| national league, provincial league \| knowle stadium, bristol \| pre-1939 \| 1954 \| phil crump row 3 : cradley heath heathens \| british league \| dudley wood stadium \| 1947 \| 1996 \| listed in article row 4 : crayford kestrels \| british league division two/national league \| crayford stadium, crayford \| 1968 \| 1983 \| None row 5 : fleetwood flyers \| speedway national league division two \| highbury avenue sports stadium, fleetwood \| 1948 \| 1952 \| None row 6 : hackney wick wolves \| speedway national league \| hackney wick stadium \| 1935 \| 1939 \| listed in article row 7 : hackney hawks \| british league \| hackney wick stadium \| 1963 \| 1983 \| listed in article row 8 : hastings saxons \| speedway national league division three \| pilot field, hastings \| 1948 \| 1949 \| None row 9 : hull vikings \| elite league, premier league \| craven park \| 1995 \| 2005 \| listed in article row 10 : leicester stadium \| speedway northern league, speedway southern league \| the stadium, blackbird road, leicester \| 1929 \| 1931 \| cyril "squib" row 11 : leicester hounds \| speedway national league division two \| the stadium, blackbird road, leicester \| 1937 \| 1937 \| wilf plant, lloy row 12 : liverpool chads \| speedway national league division three, speedway national \| stanley stadium, liverpool \| late 1920s \| 1960 \| peter craven row 13 : middlesbrough bears \| northern league, speedway national league \| cleveland park \| 1939 \| 1996 \| listed in article row 14 : milton keynes knights \| None \| groveway greyhound stadium, milton key \| 1978 \| 1992 \| None row 15 : new cross rangers \| speedway national league, speedway provincial league \| new cross stadium \| 1937 \| 1963 \| tom farndon row 16 : newport wasps \| provincial league, british league, national \| hayley stadium \| 1964 (closed 1977, reopened \| 2011 \| None row 17 : nottingham \| southern league, national league \| olympic gardens/white city stadium \| 1930 \| 1938 \| None row 18 : paisley lions \| speedway national league \| love street \| 1975 \| 1976 \| sid and mick sheldrick, row 19 : rayleigh rockets \| speedway provincial league, metropolitan league \| rayleigh weir stadium, ray \| 1949 \| 1973 \| None row 20 : southampton saints \| speedway national league \| banister court stadium, southampton \| 1928 \| 1963 \| None row 21 : sunderland stars \| speedway national league \| sunderland greyhound stadium, east boldon \| 1971 \| 1974 \| None row 22 : trelawny pitbulls \| conference league \| clay country moto parc, st aus \| 2003 \| 2003 \| None row 23 : wembley lions \| southern league, speedway national league \| empire stadium \| 1929 \| 1971 \| listed in article row 24 : west ham hammers \| speedway british league, speedway \| west ham stadium \| 1930 \| 1971 \| listed in article row 25 : white city rebels \| speedway british league \| white city stadium \| 1976 \| 1978 \| gordon kennett, steve row 26 : wimbledon dons \| speedway national league \| wimbledon stadium \| 1929 \| 2005 \| listed in article ] Execute this SQL based on the above table: select leagues where id = ( select id where leagues = 'british league' ) + 1	british league division two/national league
[ header: year \| champion \| score \| runner-up \| total prize money \| champion \| runner-up row 1 : 2001 \| ravi sandiran \| \| thanawat gaweenuntavong \| None \| None \| None row 2 : 2005 \| tengku hadzali shah \| \| mohd nazib khalit \| None \| None \| None row 3 : 2006 \| selbaraju subramaniam \| \| tengku hadzali shah \| None \| None \| None row 4 : 2007 \| s raj \| \| keshminder singh \| sgd 3,600 \| sgd 1,600 \| sgd 800 row 5 : 2008 \| robert calupit \| \| shah azhar \| sgd 3,600 \| sgd 1,600 \| sgd 800 row 6 : 2009 \| ronald l briones \| \| tengku hadzali shah \| sgd 2,400 \| sgd 1,000 \| sgd 500 row 7 : 2010 \| None \| \| None \| None \| sgd 1,000 \| sgd 500 ] Execute this SQL based on the above table: select abs ( runner-up - runner-up ) where champion = 's raj'	0
[ header: month \| song \| artist \| aggregate points \| total downloads \| year-end chart row 1 : january \| "lovey-dovey" \| t-ara \| 142,691,767 \| 1,903,727 \| 7 row 2 : february \| "blue" \| big bang \| 102,380,663 \| 1,351,429 \| 10 row 3 : march \| "fantastic baby" \| big bang \| 105,296,671 \| 1,229,518 \| 5 row 4 : april \| "cherry blossom ending" \| busker busker \| 169,546,447 \| 1,570,146 \| 2 row 5 : may \| "twinkle" \| girls' generation-tts \| 119,415,981 \| 997,122 \| 11 row 6 : june \| "like this" \| wonder girls \| 138,592,996 \| 1,444,339 \| 18 row 7 : july \| "i love you" \| 2ne1 \| 151,627,608 \| 1,522,263 \| 6 row 8 : august \| "gangnam style" \| psy \| 150,855,485 \| 1,280,050 \| 1 row 9 : september \| "all for you" \| jung eunji & seo \| 113,858,049 \| 1,037,911 \| 8 row 10 : october \| "bloom" \| gain \| 115,479,048 \| 1,182,829 \| 42 row 11 : november \| "1, 2, 3, 4" \| lee hi \| 132,391,547 \| 1,210,297 \| 23 row 12 : december \| "return" \| lee seung gi \| 110,364,099 \| 896,196 \| 37 ] Execute this SQL based on the above table: select artist where artist in ( 'big bang' , 'wonder girls' ) order by total downloads asc limit 1	big bang
[ header: club \| nickname \| no. of premierships \| premiership years \| moved to row 1 : calleen (previously hiawath \| blues \| 0 \| none \| disbanded in 1932 row 2 : condobolin-milby \| kangaroos \| 3 \| 1966-67, 1990 \| disbanded in 2003 row 3 : four corners \| redlegs \| 13 \| 1928-29-30-31-32, 1937, 1949 \| disbanded in 1994 row 4 : kikoira \| None \| 2 \| 1940-41 \| disbanded row 5 : lake cargelligo \| swans \| 0 \| none \| amalgamated with lake cargelligo tig row 6 : parkes \| panthers \| 0 \| none \| central west afl in 2008 row 7 : tallimba \| hawks \| 0 \| none \| disbanded in 1987 row 8 : west milby \| None \| 1 \| 1936 \| disbanded row 9 : young \| saints \| 0 \| none \| central west afl ] Execute this SQL based on the above table: select moved to order by premiership years desc limit 1	disbanded in 1932
[ header: election year \| # of constituency votes \| % of constituency votes \| +/- \| # of party list votes \| % of party list votes \| +/- \| # of overall seats won row 1 : 1965 \| 587216 \| 1.8 \| 1.8 \| 664193 \| 2 \| 2 \| 0 / 518 row 2 : 1969 \| 1189375 \| 3.6 \| 1.8 \| 1422010 \| 4.3 \| 2.3 \| 0 / 518 row 3 : 1972 \| 194389 \| 0.5 \| 3.1 \| 207465 \| 0.6 \| 3.7 \| 0 / 518 row 4 : 1976 \| 136.023 \| 0.4 \| 0.1 \| 122661 \| 0.3 \| 0.3 \| 0 / 518 row 5 : 1980 \| None \| None \| None \| 68096 \| 0.2 \| 0.1 \| 0 / 497 row 6 : 1983 \| 57112 \| 0.1 \| 0.3 \| 91095 \| 0.2 \| 0 \| 0 / 498 row 7 : 1987 \| 182880 \| 0.5 \| 0.4 \| 227054 \| 0.6 \| 0.4 \| 0 / 497 row 8 : 1990 \| 190105 \| 0.4 \| 0.1 \| 145776 \| 0.3 \| 0.3 \| 0 / 662 row 9 : 1998 \| 45043 \| 0.1 \| 0.3 \| 126571 \| 0.3 \| 0 \| 0 / 669 row 10 : 2002 \| 103209 \| 0.1 \| 0.1 \| 215232 \| 0.4 \| 0.1 \| 0 / 603 row 11 : 2005 \| 857.777 \| 1.8 \| 1.6 \| 748568 \| 1.6 \| 1.2 \| 0 / 614 row 12 : 2009 \| 768442 \| 1.8 \| 0 \| 635525 \| 1.5 \| 0.1 \| 0 / 620 row 13 : 2013 \| 634842 \| 1.5 \| 0.3 \| 560660 \| 1.3 \| 0.2 \| 0 / 630 ] Execute this SQL based on the above table: select # of overall seats won order by # of overall seats won - # of overall seats won desc limit 1	0 / 518
[ header: outcome \| no. \| date \| tournament \| surface \| opponent in the final \| score row 1 : runner-up \| 1 \| 2 september 2001 \| mostar \| clay \| adriana basaric \| 4-6, 3-6 row 2 : winner \| 1 \| 27 january 2002 \| courmayeur \| hard \| stefanie weis \| 4-6, 7-6(7-3), row 3 : winner \| 2 \| 17 february 2002 \| bergamo \| hard \| rita degli-esposti \| 6-1, 6-2 row 4 : runner-up \| 2 \| 31 march 2002 \| rome - parioli \| clay \| dinara safina \| 7-6(7-3), 2-6, row 5 : runner-up \| 3 \| 23 june 2002 \| gorizia \| clay \| ainhoa goni-blanco \| 6-7(4-7), 1-6 row 6 : runner-up \| 4 \| 11 august 2002 \| rimini \| clay \| laurence andretto \| 5-7, 4-6 row 7 : winner \| 3 \| 26 january 2003 \| grenoble \| hard \| sophie lefevre \| 7-5, 7-5 row 8 : winner \| 4 \| 16 february 2003 \| southampton \| hard \| magdalena zdenovcova \| 6-1, 3-0, ret row 9 : winner \| 5 \| 23 february 2003 \| redbridge \| hard \| olga barabanschikov \| 6-3, 6-2 row 10 : winner \| 6 \| 23 march 2003 \| castellon \| clay \| ludmila cervanova \| 6-3, 6-3 row 11 : winner \| 7 \| 2 november 2003 \| poitiers \| hard \| roberta vinci \| 6-4, 7-5 row 12 : winner \| 8 \| 1 march 2009 \| biberach \| hard \| kirsten flipkens \| 6-1, 6-2 row 13 : winner \| 9 \| 11 april 2009 \| torhout \| hard \| viktoriya kutuzova \| 6-1, 6-4 row 14 : winner \| 10 \| 11 april 2009 \| mestre \| hard \| yvonne meusburger \| 2-6, 6-2, 6-4 ] Execute this SQL based on the above table: select outcome where id = ( select id where outcome = 'winner' ) + 1	winner
[ header: name \| rural municipality (rm) \| population (2011) \| population (2006) \| change (%) \| land area (km2) \| population density (per km2) row 1 : assiniboia \| lake of the rivers no. 72 \| 2418 \| 2305 \| 4.9 \| 3.78 \| 639.8 row 2 : bengough \| bengough no. 40 \| 313 \| 337 \| -7.1 \| 1.07 \| 292 row 3 : bienfait \| coalfields no. 4 \| 780 \| 748 \| 4.3 \| 3.09 \| 252.4 row 4 : big river \| big river no. 555 \| 639 \| 728 \| -12.2 \| 2.51 \| 255 row 5 : birch hills \| birch hills no. 460 \| 1064 \| 935 \| 13.8 \| 2.27 \| 468.4 row 6 : broadview \| elcapo no. 154 \| 574 \| 611 \| -6.1 \| 2.45 \| 233.8 row 7 : bruno \| bayne no. 371 \| 574 \| 495 \| 16 \| 0.95 \| 606.1 row 8 : churchbridge \| churchbridge no. 211 \| 743 \| 704 \| 5.5 \| 2.76 \| 269.2 row 9 : craik \| craik no. 222 \| 453 \| 408 \| 11 \| 3.02 \| 150 row 10 : govan \| last mountain valley no. 250 \| 216 \| 232 \| -6.9 \| 1.35 \| 159.7 row 11 : kindersley \| kindersley no. 290 \| 4678 \| 4412 \| 6 \| 12.55 \| 372.8 row 12 : kipling \| kingsley no. 124 \| 1051 \| 973 \| 8 \| 2.15 \| 487.9 row 13 : lampman \| browning no. 34 \| 713 \| 634 \| 12.5 \| 2.23 \| 319.9 row 14 : leader \| happyland no. 231 \| 821 \| 881 \| -6.8 \| 1.71 \| 481.2 row 15 : lemberg \| abernethy no. 186 \| 274 \| 255 \| 7.5 \| 2.67 \| 102.7 row 16 : lumsden \| lumsden no. 189 \| 1631 \| 1523 \| 7.1 \| 4.06 \| 402 row 17 : maple creek \| maple creek no. 111 \| 2176 \| 2198 \| -1 \| 4.42 \| 492.1 row 18 : milestone \| brock no. 64 \| 618 \| 562 \| 10 \| 2.17 \| 284.4 row 19 : morse \| morse no. 165 \| 240 \| 236 \| 1.7 \| 1.45 \| 165.7 row 20 : naicam \| pleasantdale no. 398 \| 686 \| 690 \| -0.6 \| 1.69 \| 405.5 row 21 : nipawin \| nipawin no. 487 \| 4265 \| 4076 \| 4.6 \| 8.71 \| 489.4 row 22 : osler \| corman park no. 344 \| 1088 \| 926 \| 17.5 \| 1.55 \| 700.6 row 23 : pilot butte \| mcleod no. 185 \| 1848 \| 1872 \| -1.3 \| 5.05 \| 365.6 row 24 : porcupine plain \| porcupine no. 395 \| 855 \| 783 \| 9.2 \| 2.27 \| 377.2 row 25 : preeceville \| preeceville no. 334 \| 1070 \| 1050 \| 1.9 \| 3.06 \| 350.2 row 26 : rouleau \| redburn no. 130 \| 453 \| 400 \| 13.3 \| 1.61 \| 282.2 row 27 : shaunavon \| grassy creek no. 78 \| 1756 \| 1691 \| 3.8 \| 5.1 \| 344.2 row 28 : springside \| st. philips no. \| 534 \| 513 \| 4.1 \| 0.68 \| 791 row 29 : star city \| star city no. 428 \| 460 \| 428 \| 7.5 \| 0.7 \| 661.1 row 30 : strasbourg \| mckillop no. 220 \| 752 \| 732 \| 2.7 \| 5.7 \| 132 ] Execute this SQL based on the above table: select rural municipality (rm) where rural municipality (rm) = 'star city no. 428' order by population (2011) asc limit 1147	star city no. 428
[ header: year \| title \| peak chart positions aus \| peak chart positions nz \| peak chart positions uk \| album row 1 : 1981 \| "stand up" \| None \| None \| None \| triffids sixth row 2 : 1982 \| "spanish blue" \| None \| None \| None \| single-only release row 3 : 1984 \| "beautiful waste" \| None \| None \| None \| single-only release row 4 : 1985 \| "you don't miss your water" \| None \| None \| None \| single-only release row 5 : 1986 \| "wide open road" \| 64 \| None \| 26 \| born sandy devotional row 6 : 1987 \| "bury me deep in love" \| 48 \| 34 \| None \| calenture row 7 : 1988 \| "trick of the light" \| 77 \| None \| 73 \| calenture row 8 : 1988 \| "holy water" \| None \| None \| None \| calenture row 9 : 1989 \| "goodbye little boy" \| 81 \| None \| None \| the black swan row 10 : 1989 \| "falling over you" \| None \| None \| None \| the black swan row 11 : 2007 \| "save what you can" \| None \| None \| None \| promotional release ] Execute this SQL based on the above table: select count ( title ) where year = 2007	1
[ header: year \| w \| l \| t \| finish \| coach row 1 : 1910 \| 11 \| 0 \| 1 \| None \| earl ball row 2 : 1911 \| 7 \| 1 \| 2 \| None \| earl ball row 3 : 1912 \| 6 \| 3 \| 2 \| None \| earl ball row 4 : 1913 \| 8 \| 2 \| 0 \| indiana state champs \| earl ball row 5 : 1914 \| 5 \| 3 \| 1 \| None \| earl ball row 6 : 1915 \| 8 \| 2 \| 1 \| None \| earl ball row 7 : 1916 \| 2 \| 7 \| 1 \| None \| f.w. smith row 8 : 1917 \| 2 \| 2 \| 0 \| None \| ky foster, ralph daw row 9 : 1918 \| None \| None \| None \| None \| None row 10 : 1919 \| 4 \| 1 \| 1 \| None \| cooney checkaye row 11 : 1920 \| 0 \| 1 \| 0 \| 14th apfa \| ken huffine row 12 : 1921 \| 0 \| 2 \| 0 \| 18th apfa \| cooney checkaye row 13 : 1922 \| 5 \| 1 \| 3 \| None \| cooney checkaye row 14 : 1923 \| 3 \| 4 \| 0 \| None \| cooney checkaye row 15 : 1924 \| 3 \| 3 \| 0 \| None \| cooney checkaye row 16 : 1925 \| 6 \| 2 \| 3 \| None \| cooney checkaye row 17 : 1926 \| 0 \| 1 \| 0 \| incomplete \| None ] Execute this SQL based on the above table: select ( select coach where coach = 'ken huffine' ) - ( select coach where coach = 'earl ball' )	0
[ header: number \| name \| year built \| boat builder \| current status row 1 : 1 \| hilbre \| 1958 \| williams & nixon \| wksc-regularly row 2 : 4 \| hioco \| 1959 \| enterprise boat company, rock ferry \| wksc-regularly row 3 : 6 \| hie \| 1959 \| williams & nixon \| wksc-regularly row 4 : 9 \| hiawatha \| 1960 \| williams & nixon \| wksc-regularly row 5 : 13 \| no boat \| None \| None \| None row 6 : 15 \| hieros \| 1961 \| turner & son, donegal \| understood to be in a garden in chester row 7 : 16 \| high & dry \| 1961 \| turner & son, donegal \| went down in the persian gulf after row 8 : 17 \| hilsa \| 1961 \| enterprise boat company, rock ferry \| wksc-regularly row 9 : 19 \| hilarity \| 1960 \| williams & nixon \| wksc-regularly row 10 : 20 \| hilda \| 1960 \| enterprise boat company, rock ferry \| wksc-regularly row 11 : 22 \| hijack \| 1961 \| turner & son, donegal \| set on fire and destroyed in nevin, row 12 : 24 \| hibiscus \| 1961 \| enterprise boat company, rock ferry \| sunk when it disappeared from its moor row 13 : 27 \| hicotee \| 1961 \| enterprise boat company, rock ferry \| wksc-regularly row 14 : 33 \| hiwmor \| 1961 \| crossfield successors, arnside \| south east england row 15 : 35 \| hilo \| 1961 \| enterprise boat company, rock ferry \| wrecked when escaped moorings row 16 : 37 \| hinden \| 1961 \| crossfield successors, arnside \| destroyed when put in a skip in liverpool row 17 : 39 \| hickory \| 1961 \| crossfield successors, arnside \| burnt on bonfire night row 18 : 41 \| highcrest \| 1961 \| crossfield successors, arnside \| wrecked when came off its mooring row 19 : 44 \| hibrena \| 1961 \| crossfield successors, arnside \| cut up and burnt in 2002 and parts salvage row 20 : 49 \| higgler \| 1961 \| crossfield successors, arnside \| last heard of in polperro row 21 : 50 \| heulwen \| 1962 \| wirral boat co., rock ferry \| porthmadog row 22 : 54 \| hinon \| 1964 \| crossfield successors, arnside \| lying in a garden in buckley, in row 23 : 55 \| hiriver \| 1964 \| anglesey boat co., beaumaris \| sunk in the river mersey row 24 : 56 \| hipparchus \| 1966 \| anglesey boat co., beaumaris \| liverpool maritime museum ] Execute this SQL based on the above table: select count ( name ) where year built = 1964	2
[ header: no. \| date \| tournament \| winning score \| margin of victory \| runner(s)-up row 1 : 4 \| may 21, 1978 \| coca-cola classic \| -3 (69-71-70=210 \| playoff \| joanne carner row 2 : 8 \| aug 6, 1978 \| colgate european open \| -7 (73-71-72-73 \| 3 strokes \| joanne carner, mary d row 3 : 9 \| nov 12, 1978 \| colgate far east open \| e (75-69-72=216 \| 2 strokes \| silvia bertolaccini, row 4 : 11 \| mar 25, 1979 \| sahara national pro-am \| -16 (72-67-66-69 \| 2 strokes \| donna caponi row 5 : 17 \| sep 30, 1979 \| mary kay classic \| -14 (71-66-67-70 \| 2 strokes \| sandra post row 6 : 18 \| mar 30, 1980 \| women's kemper open \| e (72-66-77-69 \| 2 strokes \| debbie massey, jo an row 7 : 19 \| jun 29, 1980 \| the sarah coventry \| -9 (73-67-72-71 \| 1 stroke \| pat bradley row 8 : 20 \| sep 1, 1980 \| rail charity golf classic \| -13 (65-71-71-68 \| 1 stroke \| joanne carner row 9 : 21 \| mar 8, 1981 \| arizona copper classic \| -14 (70-72-68-68 \| 4 strokes \| pat bradley row 10 : 22 \| apr 5, 1981 \| colgate-dinah shore \| -11 (71-73-69-64 \| 2 strokes \| carolyn hill row 11 : 28 \| mar 4, 1984 \| uniden lpga invitational \| e (70-74-66-74=28 \| 3 strokes \| pat bradley row 12 : 29 \| aug 19, 1984 \| chevrolet world championship of women' \| -7 (69-74-65-73=28 \| 1 stroke \| joanne carner row 13 : 30 \| may 19, 1985 \| chrysler-plymouth classic \| -9 (69-69-72=210 \| 3 strokes \| pat bradley row 14 : 32 \| jul 7, 1985 \| mazda hall of fame championship \| -7 (71-70-72-68 \| 3 strokes \| joanne carner, allison fin row 15 : 36 \| sep 13, 1987 \| cellular one-ping golf championship \| -6 (72-67-71=210 \| 1 stroke \| kelly leadbetter, muffin s row 16 : 39 \| may 15, 1988 \| chrysler-plymouth classic \| -12 (68-70-66=204 \| 8 strokes \| jan stephenson row 17 : 42 \| sep 24, 1989 \| nippon travel-mbs classic \| -11 (73-69-65-70 \| 2 strokes \| alice ritzman, pamela row 18 : 43 \| sep 23, 1990 \| mbs lpga classic \| -7 (69-70-74-68 \| playoff \| cathy gerring row 19 : 44 \| may 5, 1991 \| sara lee classic \| -10 (65-70-71=206) \| 2 strokes \| kris monaghan row 20 : 47 \| jul 11, 1993 \| youngstown-warren lpg \| -13 (68-68-67=203 \| playoff \| deb richard ] Execute this SQL based on the above table: select margin of victory - margin of victory where tournament = 'arizona copper classic'	0.0
[ 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 count ( * )	13
[ 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 date where score = 1 order by delta asc limit 492	september 14, 1983, september 18, 1983
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 24 december 2005 \| phang nga, tha \| latvia \| 1-1 \| draw \| 2005 king's cup row 2 : 2 \| 26 march 2006 \| chonburi, thailand \| philippines \| 5-0 \| win \| friendly row 3 : 4 \| 8 october 2007 \| bangkok, thailand \| macau \| 6-1 \| win \| 2010 fifa world cup qualification row 4 : 5 \| 6 february 2008 \| saitama, japan \| japan \| 4-1 \| loss \| 2010 fifa world cup qualification row 5 : 6 \| 15 march 2008 \| kunming, china \| china pr \| 3-3 \| draw \| friendly row 6 : 8 \| 20 may 2008 \| bangkok, thailand \| nepal \| 7-0 \| win \| friendly row 7 : 10 \| 25 may 2008 \| bangkok, thailand \| iraq \| 2-1 \| win \| friendly row 8 : 11 \| 2 june 2008 \| bangkok, thailand \| bahrain \| 2-3 \| loss \| 2010 fifa world cup qualification row 9 : 12 \| 20 december 2008 \| bangkok, thailand \| indonesia \| 2-1 \| win \| 2008 aff suzuki cup row 10 : 13 \| 18 july 2009 \| bangkok, thailand \| pakistan \| 4-0 \| win \| friendly row 11 : 14 \| 8 november 2009 \| bangkok, thailand \| syria \| 1-1 \| draw \| friendly row 12 : 15 \| 8 september 2010 \| new delhi, india \| india \| 2-1 \| win \| friendly row 13 : 16 \| 15 january 2012 \| bangkok, thailand \| south korea \| 1-3 \| loss \| 2012 king's cup row 14 : 17 \| 26 january 2013 \| chiangmai, thailand \| north korea \| 2-2 \| draw \| 2013 king's cup row 15 : 18 \| 5 march 2014 \| bangkok, thailand \| lebanon \| 2-5 \| loss \| 2015 afc asian cup qualification ] Execute this SQL based on the above table: select # order by score asc limit 1	1
[ header: \| landmark name \| location \| summary row 1 : 1 \| flagpole \| the flagpole was once located at 10 s \| flagpole erected in 1941 by del row 2 : 2 \| water pump station and water tower \| northeastern corner of the junction of innovation and \| None row 3 : 3 \| ammo bunker (s-1007) \| southwest of vosler dr. (formerly \| built by del e. webb construction row 4 : 4 \| ammo bunker (s-1008) \| southwest of vosler dr. (formerly \| also built by del e. webb row 5 : 5 \| civil engineering maintenance shop \| northeastern corner of unity ave. \| built by del e. webb construction row 6 : 6 \| demountable hangar \| located at the north apron of \| built in 1925 and designed by webb, de row 7 : 7 \| housing storage supply warehouse \| northwestern corner of the junction of innovation and unity \| built by del e. webb construction ] Execute this SQL based on the above table: select ( select max ( ) ) - ( select max ( ) where != ( select max ( ) ) )	1.0
[ header: date \| opponent \| site \| result \| attendance \| record row 1 : thu., dec. 5, 1940 \| at loyola maryland \| alumni gymnasium • baltimore, \| l 32-36 \| None \| 0-1 row 2 : tue., dec. 10, \| western maryland \| riverside stadium • washington, dc \| w 41-29 \| None \| 1-1 row 3 : thu., dec. 12, 1940 \| at american \| clendenen gymnasium • washington \| w 41-35 \| None \| 2-1 row 4 : mon., dec. 16, 1940 \| george washington \| riverside stadium • washington, dc \| w 50-42 \| None \| 3-1 row 5 : wed., dec. 18, 1940 \| at loyola chicago \| chicago stadium • chicago, \| w 38-35 \| None \| 4-1 row 6 : wed, jan. 8, 1941 \| at canisius \| buffalo memorial auditorium • buffalo, ny \| w 53-35 \| None \| 5-1 row 7 : fri., jan. 10, 1941 \| at temple \| philadelphia convention hall • phil \| w 46-45 \| None \| 6-1 row 8 : wed., jan 15, 1941 \| at army \| hayes gymnasium • west point, n \| w 40-28 \| None \| 7-1 row 9 : thu., jan. 16, 1941 \| new york university \| riverside stadium • washington, dc \| w 36-27 \| None \| 8-1 row 10 : fri., jan. 17, 1941 \| at maryland \| ritchie coliseum • \| w 51-34 \| None \| 9-1 row 11 : wed., jan. 22, 1941 \| at navy \| dahlgren hall • annapolis, \| w 38-18 \| None \| 10-1 row 12 : wed, jan. 29, 1941 \| penn state \| riverside stadium • washington, dc \| w 28-24 ot \| None \| 11-1 row 13 : wed., feb. 5, \| at syracuse \| archbold gymnasium • syrac \| l 43-49 \| None \| 11-2 row 14 : thu., feb. \| at colgate \| huntington gymnasium • hamilton, \| w 39-36 \| None \| 12-2 row 15 : fri., feb. 7, 1941 \| at yale \| payne whitney gymnasium • \| w 41-39 \| None \| 13-2 row 16 : mon, feb. 10, 1941 \| temple \| riverside stadium • washington, dc \| w 57-49 \| 7000 \| 14-2 row 17 : wed., feb. 19, \| at penn state \| recreation hall • state college, pa \| l 38-45 \| None \| 14-3 row 18 : thu., feb. \| at scranton \| watres armory • scranton, \| w 51-40 \| None \| 15-3 row 19 : fri., feb. 28, 1941 \| at fordham \| madison square garden • new york, \| l 42-52 \| None \| 15-4 row 20 : thu., mar. 6, 1941 \| at george washington \| riverside stadium • washington, dc \| w 41-34 \| None \| 16-4 ] Execute this SQL based on the above table: select date where attendance > 1094	mon, feb. 10, 1941
[ header: position \| team \| points \| played \| won \| drawn \| lost \| for \| against \| difference row 1 : 1 \| paulistano \| 30 \| 18 \| 14 \| 2 \| 2 \| 62 \| 19 \| 43 row 2 : 2 \| palestra italia-sp \| 29 \| 18 \| 14 \| 1 \| 3 \| 59 \| 21 \| 38 row 3 : 3 \| corinthians \| 26 \| 18 \| 12 \| 2 \| 4 \| 51 \| 16 \| 35 row 4 : 4 \| ypiranga-sp \| 25 \| 18 \| 11 \| 3 \| 4 \| 56 \| 34 \| 22 row 5 : 5 \| aa sao bento \| 16 \| 18 \| 7 \| 2 \| 9 \| 38 \| 44 \| -6 row 6 : 6 \| santos \| 13 \| 18 \| 6 \| 1 \| 11 \| 36 \| 43 \| -7 row 7 : 7 \| sc internacional de sa \| 11 \| 15 \| 3 \| 5 \| 7 \| 26 \| 44 \| -18 row 8 : 8 \| minas gerais \| 10 \| 15 \| 4 \| 2 \| 9 \| 18 \| 49 \| -31 row 9 : 9 \| aa das palmeiras \| 6 \| 15 \| 3 \| 0 \| 12 \| 27 \| 57 \| -30 row 10 : 10 \| mackenzie \| 2 \| 15 \| 1 \| 0 \| 14 \| 11 \| 57 \| -46 ] Execute this SQL based on the above table: select against where against in ( 34 , 21 ) order by team limit 1	21.0
[ header: # \| menteri besar \| took office \| left office \| party row 1 : 1 \| jaafar mohamed \| 1886 \| july 1890 \| no party row 2 : 2 \| mohamed mahbob \| june 1920 \| 1922 \| no party row 3 : 3 \| abdullah jaafar \| september 1923 \| 1928 \| no party row 4 : 4 \| mustapha jaafar \| september 16, 1928 \| november 23, 1931 \| no party row 5 : 5 \| abdul hamid yusof \| november 23, 1931 \| december 28, 1934 \| no party row 6 : 6 \| ungku abdul aziz abd \| april 1935 \| june 1, 1947 \| no party row 7 : 7 \| onn jaafar \| june 1, 1947 \| may 18, 1950 \| no party row 8 : 8 \| syed abdul kadir mo \| february 18, 1952 \| june 5, 1955 \| no party row 9 : 9 \| wan idris ibra \| october 1, 1955 \| august 31, 1957 \| no party ] Execute this SQL based on the above table: select left office where party = 'no party' and # = 6	june 1, 1947
[ header: round \| pick \| player \| nationality \| college/junior/club team row 1 : 1 \| 3 \| rick hampton \| canada \| st. catharines black hawk row 2 : 1 \| 17 \| ron chipperfield \| canada \| brandon wheat kings (wchl row 3 : 2 \| 21 \| bruce affleck \| canada \| university of denver pioneers (wcha) row 4 : 3 \| 39 \| charlie simmer \| canada \| sault ste. marie greyhound row 5 : 4 \| 57 \| tom price \| canada \| ottawa 67's ( row 6 : 5 \| 75 \| jim warden \| united states \| michigan tech huskies (wcha row 7 : 6 \| 93 \| tom sundberg \| united states \| st. paul vulcans row 8 : 7 \| 111 \| tom anderson \| united states \| st. paul vulcans row 9 : 8 \| 128 \| jim mccabe \| canada \| welland sabres (so ] Execute this SQL based on the above table: select pick where college/junior/club team = 'michigan tech huskies (wcha)'	75.0
[ header: # \| name (birth-death) \| took office \| left office \| monarch \| prime minister row 1 : 1 \| the viscount gladstone (1854-1930) \| 31 may 1910 \| 8 september 1914 \| george v \| botha row 2 : 2 \| the viscount buxton (1853-1934) \| 8 september 1914 \| 17 november 1920 \| george v \| botha row 3 : 3 \| hrh prince arthur of conn \| 17 november 1920 \| 21 january 1924 \| george v \| smuts row 4 : 4 \| the earl of athlone (1874 \| 21 january 1924 \| 26 january 1931 \| george v \| smuts row 5 : 5 \| the earl of clarendon (1877 \| 26 january 1931 \| 5 april 1937 \| george v \| hertzog row 6 : 6 \| sir patrick duncan (1870-19 \| 5 april 1937 \| 17 july 1943 \| george vi \| hertzog row 7 : 6 \| nicolaas jacobus de \| 17 july 1943 \| 1 january 1946 \| george vi \| smuts row 8 : 7 \| gideon brand van zyl (18 \| 1 january 1946 \| 1 january 1951 \| george vi \| smuts row 9 : 8 \| ernest george jans \| 1 january 1951 \| 25 november 1959 \| george vi \| malan row 10 : 8 \| lucas cornelius stey \| 26 november 1959 \| 11 december 1959 \| elizabeth ii \| verwoerd row 11 : 9 \| charles robberts swar \| 11 december 1959 \| 30 april 1961 \| elizabeth ii \| verwoerd row 12 : 9 \| lucas cornelius stey \| 30 april 1961 \| 31 may 1961 \| elizabeth ii \| verwoerd ] Execute this SQL based on the above table: select count ( monarch ) where # >= 7	5
[ header: date \| round \| opponent \| venue \| result \| attendance \| scorers row 1 : 16 september 1992 \| r1 \| lyngby \| h \| 2-0 \| 40036 \| hateley, huistra row 2 : 30 september 1992 \| r1 \| lyngby \| a \| 1-0 \| 4273 \| durrant row 3 : 21 october 1992 \| r2 \| leeds united \| h \| 2-1 \| 43251 \| mccoist, lukic row 4 : 4 november 1992 \| r2 \| leeds united \| a \| 2-1 \| 25118 \| hateley, mccoist row 5 : 25 november 1992 \| gs \| marseille \| h \| 2-2 \| 41624 \| mcswegan, hateley row 6 : 9 december 1992 \| gs \| cska moscow \| a \| 1-0 \| 9000 \| ferguson row 7 : 3 march 1993 \| gs \| club brugge \| a \| 1-1 \| 19000 \| huistra row 8 : 17 march 1993 \| gs \| club brugge \| h \| 2-1 \| 42731 \| durrant, nisbet row 9 : 7 april 1993 \| gs \| marseille \| a \| 1-1 \| 46000 \| durrant row 10 : 21 april 1993 \| gs \| cska moscow \| h \| 0-0 \| 43142 \| None ] Execute this SQL based on the above table: select date where attendance not null	16 september 1992, 30 september 1992, 21 october 1992, 4 november 1992, 25 november 1992, 9 december 1992, 3 march 1993, 17 march 1993, 7 april 1993, 21 april 1993
[ header: pos. \| athlete \| run 1 \| run 2 \| total row 1 : 1 \| aronne pieruz \| 50.39 \| 58.25 \| 1:48.64 row 2 : 2 \| filip trejbal \| 50.68 \| 58.84 \| 1:49.52 row 3 : 3 \| adam cole \| 51.4 \| 58.51 \| 1:49.91 row 4 : 4 \| tague thorson \| 51.2 \| 59.13 \| 1:50.33 row 5 : 5 \| jan urfer \| 51.54 \| 59.1 \| 1:50.64 row 6 : 6 \| charles christianson \| 51.75 \| 58.91 \| 1:50.66 row 7 : 7 \| francesco ghedina \| 51.37 \| 59.39 \| 1:50.94 row 8 : 8 \| luca moretti \| 52.05 \| 58.89 \| 1:51.17 row 9 : 9 \| cameron barnes \| 51.66 \| 59.51 \| 1:51.37 row 10 : 10 \| martin vrablik \| 52.77 \| 58.6 \| 1:51.48 ] Execute this SQL based on the above table: select pos. where pos. in ( 2 , 3 ) group by pos. order by count ( athlete ) desc limit 1	3.0
[ header: riding \| candidate \| gender \| residence \| occupation \| votes \| % \| rank \| biographical notes row 1 : cape breton-canso \| mark macneill \| m \| inverness \| government and business policy advisor \| 7660 \| 21.1 \| 3rd \| served in ottawa as a row 2 : central nova \| mary louise lorefice \| f \| antigonish \| retired educator \| 7659 \| 19.6 \| 3rd \| lorefice is a retired teacher row 3 : cumberland-colchester-musquod \| karen olsson \| f \| north river \| stay-at-home mother \| 4874 \| 12.3 \| 2nd \| None row 4 : dartmouth-cole harbour \| brad pye \| m \| ottawa, on \| senior political party program officer \| 12793 \| 31.5 \| 2nd \| pye is an international development worker and row 5 : halifax \| megan leslie \| f \| halifax \| community legal worker \| 19252 \| 42.7 \| 1st \| None row 6 : halifax west \| tamara lorincz \| f \| halifax \| director of nova scotia environment \| 12201 \| 29.6 \| 2nd \| an environmentalist row 7 : kings-hants \| carol e. harris \| f \| wolfville \| university professor \| 8291 \| 22 \| 3rd \| she was the ndp's candidate in row 8 : sackville-eastern shore \| peter stoffer \| m \| windsor junction \| parliamentarian \| 24279 \| 61.4 \| 1st \| stoffer has been the incumbent mp since row 9 : south shore-st. margaret \| gordon s. earle \| m \| upper tantallon \| retired public servant \| 13456 \| 33.7 \| 2nd \| earle is the former federal mp for row 10 : sydney-victoria \| wayne mckay \| m \| sydney \| teacher \| 8559 \| 24.4 \| 2nd \| None row 11 : west nova \| george barron \| m \| bear river \| paramedic \| 7097 \| 16.9 \| 3rd \| barron was born near paris, on ] Execute this SQL based on the above table: select votes where biographical notes is null	4874.0, 19252.0, 8559.0
[ header: round \| selection \| player \| position \| college row 1 : 1 \| 22 \| desmond trufant \| cb \| washington row 2 : 2 \| 60 \| robert alford \| cb \| southeastern louisiana row 3 : 4 \| 127 \| malliciah goodman \| de \| clemson row 4 : 4 \| 133 \| levine toilolo \| te \| stanford row 5 : 5 \| 153 \| stansly maponga \| de \| tcu row 6 : 7 \| 243 \| kemal ishmael \| s \| central florida row 7 : 7 \| 244 \| zeke motta \| s \| notre dame row 8 : 7 \| 249 \| sean renfree \| qb \| duke ] Execute this SQL based on the above table: select count ( distinct college )	8
[ header: pos \| no \| driver \| constructor \| laps \| time/retired \| grid \| points row 1 : 1 \| 10 \| juan pablo montoya \| mclaren-mercedes \| 60 \| 1:24:29.588 \| 3 \| 10 row 2 : 2 \| 5 \| fernando alonso \| renault \| 60 \| 2.739 \| 1 \| 8 row 3 : 3 \| 9 \| kimi raikkonen \| mclaren-mercedes \| 60 \| 14.436 \| 12 \| 6 row 4 : 4 \| 6 \| giancarlo fisichella \| renault \| 60 \| 17.914 \| 6 \| 5 row 5 : 5 \| 3 \| jenson button \| bar-honda \| 60 \| 40.264 \| 2 \| 4 row 6 : 6 \| 1 \| michael schumacher \| ferrari \| 60 \| +1:15.322 \| 9 \| 3 row 7 : 7 \| 2 \| rubens barrichello \| ferrari \| 60 \| +1:16.567 \| 5 \| 2 row 8 : 8 \| 17 \| ralf schumacher \| toyota \| 60 \| +1:19.212 \| 8 \| 1 row 9 : 9 \| 16 \| jarno trulli \| toyota \| 60 \| +1:20.851 \| 4 \| None row 10 : 10 \| 12 \| felipe massa \| sauber-petronas \| 59 \| +1 lap \| 16 \| None row 11 : 11 \| 7 \| mark webber \| williams-bmw \| 59 \| +1 lap \| 11 \| None row 12 : 12 \| 8 \| nick heidfeld \| williams-bmw \| 59 \| +1 lap \| 14 \| None row 13 : 13 \| 14 \| david coulthard \| red bull-cosworth \| 59 \| +1 lap \| 13 \| None row 14 : 14 \| 11 \| jacques villeneuve \| sauber-petronas \| 59 \| +1 lap \| 10 \| None row 15 : 15 \| 15 \| christian klien \| red bull-cosworth \| 59 \| +1 lap \| 15 \| None row 16 : 16 \| 4 \| takuma sato \| bar-honda \| 58 \| +2 laps \| 7 \| None row 17 : 17 \| 18 \| tiago monteiro \| jordan-toyota \| 58 \| +2 laps \| 20 \| None row 18 : 18 \| 21 \| christijan albers \| minardi-cosworth \| 57 \| +3 laps \| 18 \| None row 19 : 19 \| 20 \| patrick friesacher \| minardi-cosworth \| 56 \| +4 laps \| 19 \| None row 20 : ret \| 19 \| narain karthikeyan \| jordan-toyota \| 10 \| electrical \| 17 \| None ] Execute this SQL based on the above table: select count ( pos ) where driver = 168	0
[ header: season \| date \| jia-a/csl winner \| result \| fa cup winner \| scorers \| stadium row 1 : 1995 \| 9 december 1995 \| shanghai shenhua \| 1 - 0 \| jinan taishan ( \| fan zhiyi \| hongkou stadium, shangha row 2 : 1996 \| 9 march 1997 \| dalian wanda (now dalian \| 3 - 2 \| beijing guoan \| wang tao (2), l \| shenzhen stadium, shenzhen row 3 : 1997 \| 12 march 1998 \| dalian wanda (now dalian \| 1 - 2 aet (g \| beijing guoan \| wang tao, olivas \| wenzhou stadium, wenzhou row 4 : 1998 \| 7 march 1999 \| dalian wanda (now dalian \| 0 - 3 \| shanghai shenhua \| wu chengying, marcel \| mianyang stadium, mianyang row 5 : 1999 \| 4 march 2000 \| shandong luneng \| 2 - 4 \| liaoning fushun \| li xiaopeng, casiano \| hongkou stadium, shangha row 6 : 2000 \| 30 december 2000 \| dalian shide \| 4 - 1 \| chongqing lifan \| hao haidong, wang pe \| hongkou stadium, shangha row 7 : 2001 \| 26 february 2002 \| dalian shide \| 1 - 3 (1 - 1 / \| shanghai shenhua \| srđan bajcetic \| hongkou stadium, shangha row 8 : 2001 \| 2 march 2002 \| dalian shide \| 1 - 3 (1 - 1 / \| shanghai shenhua \| orlando (2) \| jinzhou stadium, dalian row 9 : 2002 \| 6 february 2003 \| dalian shide \| 1 - 0 \| qingdao beilaite \| hao haidong \| wuhan sports center, wu row 10 : 2003 \| 18 january 2004 \| shanghai shenhua \| 3 - 4 \| beijing hyundai ( \| zhang yuning, z \| olympic park stadium, w row 11 : 2012 \| 25 february 2012 \| guangzhou evergrande \| 2 - 1 \| tianjin teda \| cleo (2) wang xinx \| guangzhou university city stadium, gu row 12 : 2013 \| 3 march 2013 \| guangzhou evergrande \| 1 - 2 \| jiangsu sainty \| salihi krivets \| tianhe stadium, guangzhou row 13 : 2014 \| 17 february 2014 \| guangzhou evergrande \| 0 - 1 \| guizhou renhe \| sun jihai \| guizhou olympic stadium, ] Execute this SQL based on the above table: select count ( stadium ) where stadium = 'shenzhen stadium, shenzhen'	1
[ header: year \| winner \| second \| third \| starters row 1 : 2013 \| new year's day \| havana \| strong mandate \| 13 row 2 : 2012 \| shanghai bobby \| he's had enough \| capo bastone \| 9 row 3 : 2011 \| hansen \| union rags \| creative cause \| 13 row 4 : 2010 \| uncle mo \| boys at toscanova \| rogue romance \| 11 row 5 : 2009 \| vale of york \| lookin at lucky \| noble's promise \| 13 row 6 : 2008 \| midshipman \| square eddie \| street hero \| 12 row 7 : 2007 \| war pass \| pyro \| kodiak kowboy \| 11 row 8 : 2006 \| street sense \| circular quay \| great hunter \| 14 row 9 : 2005 \| stevie wonderboy \| henny hughes \| first samurai \| 14 row 10 : 2004 \| wilko \| afleet alex \| sun king \| 8 row 11 : 2003 \| action this day \| minister eric \| chapel royal \| 12 row 12 : 2002 \| vindication \| kafwain \| hold that tiger \| 13 row 13 : 2001 \| johannesburg \| repent \| siphonic \| 12 row 14 : 2000 \| macho uno \| point given \| street cry \| 14 row 15 : 1999 \| anees \| chief seattle \| high yield \| 14 row 16 : 1998 \| answer lively \| aly's alley \| cat thief \| 13 row 17 : 1997 \| favorite trick \| dawson's legacy \| nationalore \| 8 row 18 : 1996 \| boston harbor \| acceptable \| ordway \| 10 row 19 : 1995 \| unbridled's song \| hennessy \| editor's note \| 13 row 20 : 1994 \| timber country \| eltish \| tejano run \| 13 row 21 : 1993 \| brocco \| blumin affair \| tabasco cat \| 11 row 22 : 1992 \| gilded time \| it'sali'lknownfact \| river special \| 13 row 23 : 1991 \| arazi \| bertrando \| snappy landing \| 14 row 24 : 1990 \| fly so free \| take me out \| lost mountain \| 11 row 25 : 1989 \| rhythm \| grand canyon \| slavic \| 12 row 26 : 1988 \| is it true \| easy goer \| tagel \| 10 row 27 : 1987 \| success express \| regal classic \| tejano \| 13 row 28 : 1986 \| capote \| qualify \| alysheba \| 13 row 29 : 1985 \| tasso \| storm cat \| scat dancer \| 13 row 30 : 1984 \| chief's crown \| tank's prospect \| spend a buck \| 10 ] Execute this SQL based on the above table: select winner where second = 'storm cat'	tasso
[ header: year \| species \| height \| location grown \| state \| notes row 1 : 2006 \| pacific silver fir \| 65 feet (20 m) \| olympic national forest \| washington \| the tree was lit by dennis hastert row 2 : 2005 \| engelmann spruce \| 65 feet (20 m) \| santa fe national forest \| new mexico \| the tree was lit by dennis hastert row 3 : 2004 \| red spruce \| 65 feet (20 m) \| george washington and jefferson national \| virginia \| the tree was lit by dennis hastert row 4 : 2001 \| white spruce \| 72 feet (22 m) \| ottawa national forest \| michigan \| known as "the tree of hope," the tree row 5 : 1995 \| douglas fir \| 60 feet (18 m) \| plumas national forest \| california \| None row 6 : 1987 \| norway spruce \| 60 feet (18 m) \| wayne national forest \| ohio \| None row 7 : 1983 \| white spruce \| 52 feet (16 m) \| chequamegon national forest \| wisconsin \| None row 8 : 1982 \| balsam fir \| 50 feet (15 m) \| riley bostwich wildlife management \| vermont \| None row 9 : 1980 \| white spruce \| 48 feet (15 m) \| green mountain national forest \| vermont \| None row 10 : 1975 \| balsam fir \| 41 feet (12 m) \| ottawa national forest \| michigan \| None row 11 : 1972 \| balsam fir \| 50 feet (15 m) \| tennessee national forest \| pennsylvania \| None row 12 : 1968 \| white pine \| 30 feet (9.1 m) \| finksburg, maryland \| maryland \| made from two different trees ] Execute this SQL based on the above table: select location grown where height >= 410	finksburg, maryland
[ header: tournament \| 1992 \| 1993 \| 1994 \| 1995 \| 1996 \| 1997 \| 1998 \| 1999 \| 2000 \| 2001 \| 2002 \| 2003 \| 2004 \| 2005 \| 2006 \| 2007 \| 2008 \| 2009 \| 2010 \| career sr \| career w-l row 1 : australian open \| a \| a \| 1r \| qf \| a \| 2r \| 1r \| 1r \| 2r \| qf \| qf \| 3r \| qf \| w \| sf \| sf \| 3r \| 3r \| a \| 1 / 15 \| 33-14 row 2 : wimbledon \| a \| lq \| 1r \| 1r \| a \| 1r \| 2r \| 3r \| 1r \| 1r \| 2r \| 3r \| qf \| sf \| qf \| 2r \| f \| qf \| 1r \| 0 / 16 \| 24-16 row 3 : grand slam w-l \| 0-0 \| 0-0 \| 0-4 \| 3-2 \| 0-1 \| 1-4 \| 3-4 \| 4-4 \| 2-4 \| 11-3 \| 9-4 \| 7-4 \| 12-4 \| 14-3 \| 12-4 \| 10-4 \| 8-4 \| 9-4 \| 0-1 \| 2 / 60 \| 105-58 row 4 : indian wells \| a \| a \| sf \| lq \| a \| a \| a \| 2r \| 1r \| 1r \| qf \| 2r \| f \| qf \| 1r \| qf \| qf \| 1r \| a \| 0 / 12 \| 16-12 row 5 : miami \| a \| a \| 2r \| 1r \| a \| a \| 2r \| 2r \| 3r \| 3r \| 3r \| 2r \| w \| f \| sf \| qf \| 2r \| qf \| a \| 1 / 14 \| 23-13 row 6 : monte carlo \| a \| a \| a \| a \| a \| a \| a \| 2r \| 1r \| 1r \| a \| sf \| a \| a \| a \| sf \| sf \| 2r \| a \| 0 / 7 \| 7-7 row 7 : rome \| a \| a \| a \| a \| a \| a \| a \| 1r \| a \| 1r \| f \| 2r \| qf \| 2r \| qf \| qf \| sf \| sf \| a \| 0 / 10 \| 11-10 row 8 : canada \| a \| a \| a \| a \| a \| a \| 1r \| 2r \| 2r \| 2r \| 2r \| 1r \| 2r \| w \| f \| f \| qf \| 2r \| a \| 1 / 12 \| 14-11 row 9 : shanghai \| not held \| not held \| not held \| not held \| not held \| not held \| not held \| not held \| not held \| not held \| not held \| not held \| not held \| not held \| not held \| not held \| not held \| 2r \| a \| 0 / 1 \| 0-1 row 10 : paris \| a \| a \| a \| a \| a \| a \| qf \| 1r \| 1r \| sf \| 2r \| qf \| f \| sf \| 1r \| qf \| w \| 2r \| a \| 1 / 12 \| 16-11 row 11 : hamburg \| a \| a \| a \| a \| a \| a \| a \| 2r \| a \| 2r \| 1r \| 2r \| w \| 2r \| w \| f \| 2r \| nme \| nme \| 2 / 9 \| 13-7 row 12 : year end ranking \| 235 \| 135 \| 91 \| 158 \| 103 \| 92 \| 35 \| 26 \| 34 \| 13 \| 11 \| 18 \| 9 \| 6 \| 8 \| 10 \| 8 \| 24 \| None \| None \| None ] Execute this SQL based on the above table: select count ( * ) where 2008 = 'a'	0
[ header: no. \| name \| term of office \| president(s) served under row 1 : 1 \| william bennett \| 1989 - 1991 \| george h. w. bush row 2 : 2 \| bob martinez \| march 28, 1991 - january 20, \| george h. w. bush row 3 : 3 \| lee p. brown \| january 1993 - december \| bill clinton row 4 : 4 \| barry mccaffrey \| february 29, 1996 - janu \| bill clinton row 5 : 5 \| john p. walters \| december 7, 2001 - janu \| george w. bush row 6 : 6 \| gil kerlikowske \| may 7, 2009 - march 6, 2014 \| barack obama row 7 : acting \| michael botticelli \| march 6, 2014 - \| barack obama ] Execute this SQL based on the above table: select count ( distinct ( name ) )	7
[ header: # \| date \| opponent \| score \| win \| loss \| save \| attendance \| record \| other info row 1 : 104 \| august 2 \| phillies \| 3 - 2 10 \| smith (3-6) \| calhoun (0-1) \| None \| 33629 \| 54-50 \| None row 2 : 105 \| august 3 \| @ pirates \| 6 - 4 \| drabek (3-10) \| maddux (6-10) \| gott (1) \| 7281 \| 54-51 \| None row 3 : 106 \| august 4 \| @ pirates \| 3 - 2 11 \| mason (3-1) \| gideon (1-2) \| None \| 8744 \| 55-51 \| None row 4 : 107 \| august 5 \| @ pirates \| 10 - 0 \| fisher (7-6) \| moyer (9-8) \| None \| 7726 \| 55-52 \| None row 5 : 110 \| august 8 \| @ mets \| 5 - 3 \| mason (4-1) \| schulze (1-2) \| smith (27) \| 47893 \| 56-54 \| None row 6 : 111 \| august 9 \| @ mets \| 6 - 3 \| sanderson (5-6) \| gooden (9-4) \| smith (28) \| 49031 \| 57-54 \| None row 7 : 112 \| august 10 \| @ phillies \| 4 - 2 \| frohwirth (1-0) \| moyer (9-9) \| bedrosian (31) \| 26796 \| 57-55 \| None row 8 : 113 \| august 11 \| @ phillies \| 9 - 8 13 \| k. gross (7-10) \| tewksbury (0-4) \| None \| 30459 \| 57-56 \| None row 9 : 114 \| august 12 \| @ phillies \| 13 - 7 \| calhoun (1-1) \| lynch (1-7) \| None \| 36190 \| 57-57 \| None row 10 : 116 \| august 14 \| mets \| 6 - 1 \| sanderson (6-6) \| mitchell (3-5) \| None \| 17811 \| 59-57 \| None row 11 : 117 \| august 15 \| mets \| 7 - 3 \| moyer (10-9) \| leach (10-1) \| dipino (2) \| 32425 \| 60-57 \| None row 12 : 118 \| august 16 \| mets \| 23 - 10 \| darling (10-7) \| maddux (6-11) \| None \| 32731 \| 60-58 \| billy williams day ruined by row 13 : 119 \| august 18 \| @ braves \| 9 - 5 \| mahler (7-12) \| lynch (1-8) \| acker (8) \| 17469 \| 60-59 \| None row 14 : 120 \| august 19 \| @ braves \| 9 - 1 \| sanderson (7-6) \| puleo (5-6) \| None \| 10523 \| 61-59 \| None row 15 : 121 \| august 20 \| @ braves \| 13 - 4 \| acker (1-5) \| moyer (10-10) \| None \| 11647 \| 61-60 \| None row 16 : 123 \| august 22 \| astros \| 5 - 4 11 \| andersen (8-4) \| dipino (3-3) \| smith (21) \| 32552 \| 62-61 \| None row 17 : 124 \| august 23 \| astros \| 4 - 2 \| heathcock (3-1) \| sutcliffe (15-6) \| smith (22) \| 33934 \| 62-62 \| None row 18 : 126 \| august 27 \| braves \| 8 - 6 8 \| lancaster (4-1) \| mahler (7-13) \| dipino (3) \| 19006 \| 63-63 \| None row 19 : 127 \| august 28 \| @ reds \| 6 - 5 10 \| smith (4-7) \| franco (7-5) \| None \| 28223 \| 64-63 \| None row 20 : 128 \| august 29 \| @ reds \| 4 - 1 \| browning (6-11) \| sanderson (7-7) \| None \| 37783 \| 64-64 \| None ] Execute this SQL based on the above table: select attendance order by record desc limit 1	28223
[ header: first issued \| design \| slogan \| serial format \| serials issued \| notes row 1 : 1955 \| white embossed digits with white border \| "grand canyon state" embossed in white \| a-12345 \| None \| coded by county of issuance row 2 : 1958 \| white embossed digits with white border \| grand canyon state embossed in white and \| abc-123 \| aaa-001 to bzz \| None row 3 : 1960 \| blue embossed digits with blue border \| grand canyon state embossed in blue and \| abc-123 \| caa-001 to dzz-999 \| None row 4 : 1963 \| white embossed digits with white border \| grand canyon state embossed in white and \| abc-123 \| eaa-001 to fzz \| None row 5 : 1965 \| black embossed digits with black border \| grand canyon state embossed in black and \| abc-123 \| haa-001 to jzz-999 \| None row 6 : 1968 \| black embossed digits with black border \| grand canyon state embossed in black and \| abc-123 \| kaa-001 to nzz- \| None row 7 : 1972 \| green embossed digits with green border \| grand canyon state embossed in green and \| abc-123 \| paa-001 to wzz-999 \| None row 8 : 1980 \| white embossed digits with white emb \| grand canyon state embossed in white and \| abc-123 \| aaa-001 to nzz \| None row 9 : 1996 \| dark green embossed digits on \| grand canyon state in dark green thin plain letters at \| 123·abc \| 101·aaa to 999·z \| awarded "plate of the year" for best new row 10 : 2008 \| dark green screened digits on screened \| grand canyon state in dark green thin plain letters at \| abc1234 \| aaa0001 to present \| None ] Execute this SQL based on the above table: select first issued group by first issued order by count ( serial format ) desc limit 1	2008
[ header: year \| single \| peak chart positions ger \| peak chart positions ire \| peak chart positions uk \| peak chart positions us \| peak chart positions us main \| peak chart positions us dance \| certifications (sales thresholds) \| album row 1 : 1970 \| "memo from turner" \| 23 \| None \| 32 \| None \| None \| None \| \| performance (soundtrack) row 2 : 1978 \| "don't look back" (with pe \| None \| None \| 43 \| 81 \| None \| None \| \| bush doctor (peter tosh album) row 3 : 1984 \| "state of shock" (with the jack \| 23 \| 8 \| 14 \| 3 \| 3 \| None \| \| victory (the jacksons album) row 4 : 1985 \| "just another night" \| 16 \| 21 \| 32 \| 12 \| 1 \| 11 \| \| she's the boss row 5 : 1985 \| "lonely at the top" \| None \| None \| None \| None \| 9 \| None \| \| she's the boss row 6 : 1985 \| "lucky in love" \| 44 \| None \| 91 \| 38 \| 5 \| 11 \| \| she's the boss row 7 : 1985 \| "hard woman" \| 57 \| None \| None \| None \| None \| None \| \| she's the boss row 8 : 1985 \| "dancing in the street" (with \| 6 \| 1 \| 1 \| 7 \| 3 \| 4 \| \| single only row 9 : 1986 \| "ruthless people" \| None \| None \| None \| 51 \| 14 \| 29 \| \| ruthless people (soundtrack) row 10 : 1987 \| "let's work" \| 29 \| 24 \| 31 \| 39 \| 7 \| 32 \| \| primitive cool row 11 : 1987 \| "throwaway" \| None \| None \| None \| 67 \| 7 \| None \| \| primitive cool row 12 : 1987 \| "say you will" \| None \| None \| None \| None \| 39 \| None \| \| primitive cool row 13 : 1993 \| "sweet thing" \| 23 \| None \| 24 \| 84 \| 34 \| None \| \| wandering spirit row 14 : 1993 \| "wired all night" \| None \| None \| None \| None \| 3 \| None \| \| wandering spirit row 15 : 1993 \| "don't tear me up" \| 77 \| None \| 86 \| None \| 1 \| None \| \| wandering spirit row 16 : 1993 \| "out of focus" \| 70 \| None \| None \| None \| None \| None \| \| wandering spirit row 17 : 2001 \| "god gave me everything" \| 60 \| None \| None \| None \| 24 \| None \| \| goddess in the doorway row 18 : 2002 \| "visions of paradise" \| 77 \| None \| 43 \| None \| None \| None \| \| goddess in the doorway row 19 : 2004 \| "old habits die hard" (with dave \| 62 \| None \| 45 \| None \| None \| None \| \| alfie (soundtrack) row 20 : 2008 \| "charmed life" \| None \| None \| None \| None \| None \| 18 \| \| the very best of mick jagger row 21 : 2011 \| "miracle worker" (with superhe \| None \| None \| 136 \| None \| None \| None \| \| superheavy (superheavy album) row 22 : 2011 \| "t.h.e (the hardest ever \| None \| 13 \| 3 \| 36 \| None \| None \| \| #willpower (will.i.am album ] Execute this SQL based on the above table: select album where single = '"state of shock" (with the jacksons)'	victory (the jacksons album)
[ header: name(s) \| yard no. \| type (as built) \| owner \| imo number \| laid down \| launched \| delivered/ commissioned \| fate/ decommissioned \| notes row 1 : sally \| 100 \| yacht \| lyman \| \| None \| None \| None \| None \| None row 2 : caprice \| 101 \| yacht \| robinson \| \| None \| None \| None \| None \| None row 3 : eleanor \| 103 \| yacht \| clapp \| \| None \| None \| None \| None \| None row 4 : uss lawrence (dd-8) \| 104 \| bainbridge-class destroyer \| u.s. navy \| \| 10 april 1899 \| 7 november 1900 \| 7 april 1903 \| 20 june 1919 \| sold to joseph g. hit row 5 : uss macdonough (dd-9) \| 105 \| bainbridge-class destroyer \| u.s. navy \| \| 10 april 1899 \| 24 december 1900 \| 5 september 1903 \| 3 september 1919 \| sold to joseph g. hit row 6 : jule \| 106 \| yacht \| j. arthur \| \| None \| None \| 12 june 1899 \| None \| None row 7 : united states lightship lv-72 \| 107 \| lightvessel \| u.s lighthouse board \| \| None \| None \| 13 february 1901 \| None \| None ] Execute this SQL based on the above table: select type (as built) order by yard no. desc limit 1	lightvessel
[ header: record \| date and time \| competition \| home or away \| opponent \| score row 1 : biggest win \| 19.10.1912 at 15:00 \| spartan league \| home \| aylesbury united \| 14-0 row 2 : biggest defeat \| 09.11.1946 at 15:00 \| isthmian league \| home \| wimbledon \| 0-11 row 3 : most goals in one match \| 22.11.1922 at 15:00 \| fa cup / 4th q \| away \| dulwich hamlet \| 7-8 row 4 : biggest home win \| 19.10.1912 at 15:00 \| spartan league \| home \| aylesbury united \| 14-0 row 5 : biggest home defeat \| 09.11.1946 at 15:00 \| isthmian league \| home \| wimbledon \| 0-11 row 6 : biggest away win \| 24.11.1970 at 15:00 \| mithras cup 2nd r \| away \| ruislip manor \| 10-0 row 7 : biggest away win \| 17.04.1920 at 15:00 \| spartan league \| away \| tufnell spartans \| 11-1 row 8 : biggest away defeat \| 04.11.2008 at 19:45 \| herts charity cup \| away \| hemel hempstead town \| 0-10 ] Execute this SQL based on the above table: select date and time where record = 'biggest defeat'	09.11.1946 at 15:00
[ 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 ( select games where team = 'den' ) - ( select games where team = 'den' )	0.0
[ header: name \| dates \| grt \| propulsion \| port \| notes row 1 : arataki i \| 1948-84 \| 74 \| 320 bhp diesel, 10 knot \| None \| us navy harbour tug row 2 : arataki ii \| 1984-99 \| 143 \| 1100 bhp diesel, 12 knot \| timaru \| harbour tug row 3 : hipi \| 1942-56 \| 39 \| 100 bhp diesel, 8 knots \| auckland \| towing lighters row 4 : kahanui \| 1942-45 \| 207 \| 800 ihp sr t \| wanganui \| harbour tug row 5 : manawanui i \| 1948-52 \| 74 \| 329 bhp diesel, 10 knot \| auckland \| us navy harbour tug row 6 : meola \| 1961- \| 19 \| 76 bhp diesel, 9 knot \| auckland \| work boat row 7 : toia \| 1926-49 \| 423 \| 1250 ihp sr \| wellington \| world war i saint class naval tug, ] Execute this SQL based on the above table: select count ( * ) where grt = 74	2
[ header: year \| single \| peak chart positions us \| peak chart positions us r&b \| peak chart positions aus \| peak chart positions can \| peak chart positions nld \| peak chart positions nz \| peak chart positions uk \| certifications \| album row 1 : 1992 \| "happy days" \| 86 \| 13 \| None \| None \| None \| None \| None \| None \| lose control row 2 : 1993 \| "freak me" \| 1 \| 1 \| 3 \| 43 \| 42 \| 9 \| 46 \| us: platinum \| lose control row 3 : 1993 \| "girl u for me" \| 26 \| 4 \| None \| None \| None \| 30 \| 67 \| None \| lose control row 4 : 1993 \| "lose control" \| 26 \| 4 \| None \| None \| None \| None \| None \| None \| lose control row 5 : 1993 \| "it had to be you" \| 109 \| 45 \| None \| None \| None \| None \| None \| None \| lose control row 6 : 1993 \| "baby it's you" \| None \| None \| None \| None \| None \| None \| 44 \| None \| lose control row 7 : 1994 \| "i can go deep" \| 71 \| 22 \| None \| None \| None \| None \| None \| None \| a low down dirty shame / silk row 8 : 1995 \| "hooked on you" \| 54 \| 12 \| None \| None \| None \| 11 \| 81 \| None \| silk row 9 : 1996 \| "don't rush" \| 91 \| 39 \| None \| None \| None \| None \| None \| None \| silk row 10 : 1999 \| "if you (lovin' me)" \| 13 \| 4 \| None \| None \| None \| 28 \| None \| us: gold \| tonight row 11 : 1999 \| "meeting in my bedroom" \| 62 \| 15 \| None \| None \| None \| None \| None \| None \| tonight row 12 : 1999 \| "let's make love" \| None \| 58 \| None \| None \| None \| None \| None \| None \| tonight row 13 : 2001 \| "we're callin u" \| None \| 56 \| None \| None \| None \| None \| None \| None \| love session row 14 : 2001 \| "ebony eyes" \| None \| None \| None \| None \| None \| None \| None \| None \| love session row 15 : 2003 \| "silktime" \| None \| None \| None \| None \| None \| None \| None \| None \| silktime row 16 : 2004 \| "side show" \| None \| 66 \| None \| None \| None \| None \| None \| None \| silktime row 17 : 2006 \| "the secret garden (sweet seduction suite) \| None \| None \| None \| None \| None \| None \| None \| None \| always and forever ] Execute this SQL based on the above table: select album where single < ( select single where album = 'tonight' ) order by single desc limit 1	a low down dirty shame / silk
[ header: pos \| no \| driver \| team \| laps \| time/retired \| grid \| points row 1 : 1 \| 14 \| robert doornbos \| minardi team usa \| 107 \| 1:45:07.617 \| 15 \| 31 row 2 : 2 \| 21 \| neel jani \| pkv racing \| 107 \| +6.1 secs \| 5 \| 27 row 3 : 3 \| 3 \| oriol servia \| forsythe racing \| 107 \| +6.9 secs \| 4 \| 26 row 4 : 4 \| 5 \| will power \| team australia \| 107 \| +7.5 secs \| 12 \| 23 row 5 : 5 \| 1 \| sebastien bourdais \| n/h/l racing \| 107 \| +8.0 secs \| 2 \| 21 row 6 : 6 \| 2 \| graham rahal \| n/h/l racing \| 107 \| +9.6 secs \| 6 \| 19 row 7 : 7 \| 19 \| bruno junqueira \| dale coyne racing \| 107 \| +14.0 secs \| 10 \| 17 row 8 : 8 \| 22 \| tristan gommendy \| pkv racing \| 107 \| +19.2 secs \| 8 \| 15 row 9 : 9 \| 42 \| jan heylen \| conquest racing \| 107 \| +28.5 secs \| 13 \| 13 row 10 : 10 \| 15 \| simon pagenaud \| team australia \| 107 \| +48.4 secs \| 9 \| 11 row 11 : 11 \| 3 \| paul tracy \| forsythe championship racing \| 105 \| + 2 laps \| 11 \| 10 row 12 : 12 \| 28 \| mario dominguez \| pacific coast motorsports \| 104 \| + 3 laps \| 14 \| 12 row 13 : 13 \| 22 \| justin wilson \| rsports \| 87 \| + 20 laps \| 1 \| 8 row 14 : 14 \| 29 \| alex figge \| pacific coast motorsports \| 34 \| contact \| 0 \| 7 row 15 : 15 \| 11 \| alex tagliani \| rsports \| 83 \| mechanical \| 8 \| 6 row 16 : 16 \| 11 \| katherine legge \| dale coyne racing \| 13 \| contact \| 16 \| 5 row 17 : 17 \| 4 \| dan clarke \| minardi team usa \| 3 \| contact \| 3 \| 4 ] Execute this SQL based on the above table: select count ( driver ) where driver = 'oriol servia'	1
[ header: name of place \| number of counties \| principal county \| lower zip code row 1 : yager junction \| 1 \| humboldt county \| None row 2 : yale \| 1 \| riverside county \| 92544 row 3 : yankee hill \| 1 \| butte county \| 95965 row 4 : yankee hill \| 1 \| tuolumne county \| None row 5 : yankee jims \| 1 \| placer county \| 95713 row 6 : yarmouth \| 1 \| san joaquin county \| None row 7 : yellowjacket \| 1 \| tehama county \| None row 8 : yerba buena island \| 1 \| san francisco county \| None row 9 : yermo \| 1 \| san bernardino county \| 92398 row 10 : yettem \| 1 \| tulare county \| 93670 row 11 : ygnacio valley \| 1 \| contra costa county \| 94598 row 12 : yokohl \| 1 \| tulare county \| None row 13 : yolano \| 1 \| solano county \| 95620 row 14 : yolo \| 1 \| yolo county \| 95697 row 15 : yontocket \| 1 \| del norte county \| None row 16 : yorba \| 1 \| los angeles county \| 91767 row 17 : yorba linda \| 1 \| orange county \| 92686 row 18 : york \| 1 \| los angeles county \| 90050 row 19 : yorkville \| 1 \| mendocino county \| 95494 row 20 : yosemite forks \| 1 \| madera county \| None row 21 : yosemite junction \| 1 \| tuolumne county \| 95389 row 22 : yosemite lakes \| 1 \| madera county \| None row 23 : yosemite lakes park \| 1 \| madera county \| None row 24 : yosemite lodge \| 1 \| mariposa county \| 95389 row 25 : yosemite national park \| 3 \| madera county \| 95389 row 26 : yosemite national park \| 3 \| mariposa county \| 95389 row 27 : yosemite national park \| 3 \| tuolumne county \| 95389 row 28 : yosemite national park \| 1 \| mariposa county \| 95389 row 29 : yosemite valley \| 1 \| mariposa county \| None row 30 : yosemite village \| 1 \| mariposa county \| None row 31 : you bet \| 1 \| nevada county \| None row 32 : youngstown \| 1 \| san joaquin county \| None row 33 : yountville \| 1 \| napa county \| 94599 row 34 : yreka \| 1 \| siskiyou county \| 96097 row 35 : yreka city \| 1 \| siskiyou county \| 96097 row 36 : yuba city \| 1 \| sutter county \| 95991 row 37 : yuba city farm labor center \| 1 \| sutter county \| 95991 row 38 : yuba pass \| 1 \| nevada county \| None row 39 : yuba-sutter area \| 2 \| sutter county yuba county \| None row 40 : yucaipa \| 1 \| san bernardino county \| 92399 row 41 : yucca inn \| 1 \| san bernardino county \| None row 42 : yucca valley \| 1 \| san bernardino county \| 92284 row 43 : yurok indian reservation \| 2 \| del norte county \| 95546 ] Execute this SQL based on the above table: select name of place where principal county > ( select principal county where name of place = 'yreka' ) order by principal county limit 1	yolano
[ 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 ( select count ( playoffs ) where open cup = 'did not qualify' ) > 5	1
[ header: name \| first held \| country \| earliest attendance figure known \| 1998 attendance \| 2000 attendance \| 2002 attendance \| 2004 attendance \| 2006 attendance \| 2008 attendance \| 2010 attendance \| 2012 attendance row 1 : animefest \| 1992 \| usa \| 105 (1992) \| 650 \| 750 \| 1800 \| 2725 \| 4127 \| None \| None \| None row 2 : animeexpo \| 1992 \| usa \| 1750 (1992) \| 4883 \| 9700 \| 15250 \| 25000 \| 40647 \| 43000 \| 44000 \| 49400 row 3 : fanimecon \| 1994 \| usa \| 200 (1994) \| 1700 \| 2300 \| 4600 \| 6122 \| 10000 \| 14926 \| 16000 \| 21000 row 4 : otakon \| 1994 \| usa \| 350 (1994) \| 2500 \| 7500 \| 12880 \| 20899 \| 22302 \| 26262 \| 29274 \| 32724 row 5 : katsucon \| 1995 \| usa \| 500 (1995) \| 1400 \| 2300 \| 3000 \| 4300 \| 5664 \| 6300 \| None \| 12614 row 6 : nan desu kan \| 2000 \| usa \| None \| None \| 1477 \| 2467 \| 2859 \| 5018 \| 5975 \| None \| None row 7 : animeiowa \| 1997 \| usa \| 150 (1997) \| 300 \| 700 \| None \| None \| None \| None \| None \| None row 8 : otafest \| 1999 \| usa \| 700 (1999) \| None \| 900 \| None \| None \| None \| 4042 \| 3697 \| None row 9 : sakura-con \| 2000 \| usa \| 866(2000) \| 313 \| 866 \| 2328 \| 4425 \| 7500 \| 13600 \| 18002 \| 21457 row 10 : shoujocon \| 2000 \| usa \| 456(2000) \| 456 \| 1229 \| None \| None \| None \| None \| None \| None row 11 : j-popcon \| 2000 \| denmark \| None \| None \| 200 \| None \| None \| 1000 \| None \| 2200 \| None row 12 : sugoicon \| 2000 \| usa \| 522(2000) \| None \| 522 \| 930 \| 1333 \| 1400 \| None \| None \| None row 13 : ohayocon \| 2001 \| usa \| 654(2001) \| None \| None \| 1200 \| 3042 \| 4257 \| 7000 \| 10120 \| 40 row 14 : big apple anime fest \| 2001 \| usa \| 3500(2001) \| None \| None \| 7500 \| None \| None \| None \| None \| None row 15 : manifest \| 2001 \| australia \| 3500(2006) \| None \| None \| None \| None \| 3500 \| 4800 \| None \| None row 16 : anime detour \| 2004 \| usa \| 1200(2004) \| None \| None \| None \| 1200 \| 2464 \| 3000 \| None \| None row 17 : portconmaine \| 2002 \| usa \| 250(2002) \| None \| None \| 250 \| 811 \| 1400 \| 1650 \| 2072 \| 2306 row 18 : anime friends \| 2003 \| brazil \| 25000(2004) \| None \| None \| None \| 25000 \| 50000 \| 120000 \| None \| None row 19 : anime nebraskon \| 2004 \| usa \| None \| None \| None \| None \| 300 \| None \| None \| 2000 \| None row 20 : tsubasacon \| 2004 \| usa \| 407(2004) \| None \| None \| None \| 407 \| 564 \| 723 \| 1105 \| 1320 row 21 : kawaii kon \| 2005 \| hawaii \| 2610 (2005) \| None \| None \| None \| None \| 2610 \| 3495 \| 4877 \| 6077 row 22 : sac-anime \| 2005 \| usa \| 2000(2006) \| None \| None \| None \| None \| 2000 \| None \| None \| 5000 row 23 : youmacon \| 2005 \| usa \| 1078(2005) \| None \| None \| None \| None \| 2125 \| 4494 \| None \| 12156 row 24 : anime punch \| 2005 \| usa \| 200(2005) \| None \| None \| None \| None \| 977 \| 1337 \| 1206 \| None ] Execute this SQL based on the above table: select count ( * ) where name = '12880'	0
[ header: team \| stadium \| capacity \| seated row 1 : merthyr town \| penydarren park \| 10000 \| None row 2 : paulton rovers \| athletic field \| 5000 \| 253 row 3 : evesham united \| st george's lane \| 4749 \| None row 4 : winchester city \| the city ground \| 4500 \| 180 row 5 : clevedon town \| hand stadium \| 3500 \| 300 row 6 : cinderford town \| the causeway \| 3500 \| 250 row 7 : tiverton town \| ladysmead \| 3500 \| 520 row 8 : wimborne town \| cuthbury \| 3250 \| 275 row 9 : didcot town \| npower loop meadow stadium \| 3000 \| 150 row 10 : swindon supermarine \| the webb's wood stadium \| 3000 \| None row 11 : bridgwater town \| fairfax park \| 2500 \| 128 row 12 : hungerford town \| bulpit lane \| 2500 \| 170 row 13 : mangotsfield united \| cossham street \| 2500 \| 300 row 14 : taunton town \| wordsworth drive \| 2500 \| 300 row 15 : abingdon united \| northcourt road \| 2000 \| 158 row 16 : poole town \| tatnam \| 2000 \| 154 row 17 : north leigh \| eynsham hall park sports ground \| 2000 \| 100 row 18 : yate town \| lodge road \| 2000 \| 236 row 19 : bishop's cleeve \| kayte lane \| 1500 \| 50 row 20 : sholing \| vt group sports ground \| 1000 \| 150 row 21 : shortwood united \| the meadowbank ground \| tbc \| None row 22 : cirencester town \| corinium stadium \| tbc \| None ] Execute this SQL based on the above table: select count ( stadium ) where capacity = 2500	4
[ header: drop(s) \| multiplayer map(s) \| spec ops mission(s) \| face off map(s) \| xbox 360 release date \| playstation 3 release date row 1 : 1-2 \| liberation & piazza \| None \| None \| 24 january 2012 \| 28 february 2012 row 2 : 3 \| overwatch \| None \| None \| 21 february 2012 \| 29 march 2012 row 3 : 4-6 \| black box \| black ice & negotiator \| None \| 13 march 2012 \| 12 april 2012 row 4 : 7-8 \| sanctuary & foundation \| None \| None \| 10 april 2012 \| 10 may 2012 row 5 : 9-12 \| oasis \| iron clad & kill switch \| getaway & lookout \| 15 may 2012 \| 14 june 2012 row 6 : 13-15 \| None \| arctic recon \| vortex, u-turn & intersection \| 19 june 2012 \| 19 july 2012 row 7 : 16-18 \| decommission & offshore \| vertigo \| None \| 17 july 2012 \| 16 august 2012 row 8 : 19-21 \| None \| special delivery, light 'em up \| None \| 7 august 2012 \| 6 september 2012 row 9 : 22-24 \| parish, gulch & boardwalk \| None \| None \| 5 september 2012 \| 9 october 2012 ] Execute this SQL based on the above table: select count ( * ) where xbox 360 release date = '24 january 2012' and multiplayer map(s) = 'overwatch'	0
[ header: pos \| no \| driver \| constructor \| laps \| time/retired \| grid \| points row 1 : 1 \| 15 \| sebastian vettel \| red bull-renault \| 56 \| 1:57:43.485 \| 1 \| 10 row 2 : 2 \| 14 \| mark webber \| red bull-renault \| 56 \| 10.97 \| 3 \| 8 row 3 : 3 \| 22 \| jenson button \| brawn-mercedes \| 56 \| 44.975 \| 5 \| 6 row 4 : 4 \| 23 \| rubens barrichello \| brawn-mercedes \| 56 \| +1:03.704 \| 4 \| 5 row 5 : 5 \| 2 \| heikki kovalain \| mclaren-mercedes \| 56 \| +1:05.102 \| 12 \| 4 row 6 : 6 \| 1 \| lewis hamilton \| mclaren-mercedes \| 56 \| +1:11.866 \| 9 \| 3 row 7 : 7 \| 10 \| timo glock \| toyota \| 56 \| +1:14.476 \| 19 \| 2 row 8 : 8 \| 12 \| sebastien buemi \| toro rosso-ferr \| 56 \| +1:16.439 \| 10 \| 1 row 9 : 9 \| 7 \| fernando alonso \| renault \| 56 \| +1:24.309 \| 2 \| None row 10 : 10 \| 4 \| kimi raikkonen \| ferrari \| 56 \| +1:31.750 \| 8 \| None row 11 : 11 \| 11 \| sebastien bourdais \| toro rosso-ferr \| 56 \| +1:34.156 \| 15 \| None row 12 : 12 \| 6 \| nick heidfeld \| bmw sauber \| 56 \| +1:35.834 \| 11 \| None row 13 : 13 \| 5 \| robert kubica \| bmw sauber \| 56 \| +1:46.853 \| 17 \| None row 14 : 14 \| 21 \| giancarlo fisichella \| force india-mercedes \| 55 \| +1 lap \| 20 \| None row 15 : 15 \| 16 \| nico rosberg \| williams-toyota \| 55 \| +1 lap \| 7 \| None row 16 : 16 \| 8 \| nelson piquet, \| renault \| 54 \| +2 laps \| 16 \| None row 17 : 17 \| 20 \| adrian sutil \| force india-mercedes \| 50 \| accident \| 18 \| None row 18 : ret \| 17 \| kazuki nakajima \| williams-toyota \| 43 \| transmission \| 14 \| None row 19 : ret \| 3 \| felipe massa \| ferrari \| 20 \| electrical \| 13 \| None row 20 : ret \| 9 \| jarno trulli \| toyota \| 18 \| collision damage \| 6 \| None ] Execute this SQL based on the above table: select pos where pos in ( 4 , 13 ) order by time/retired asc limit 1	4
[ header: year \| title \| peak chart positions us air \| peak chart positions us main \| peak chart positions us mod \| album row 1 : 1990 \| "dig a hole" \| None \| None \| None \| non-album single row 2 : 1993 \| "mister love" \| None \| None \| None \| velvet row 3 : 1994 \| "mister love" \| None \| None \| None \| rubberneck row 4 : 1995 \| "possum kingdom" \| 40 \| 9 \| 4 \| rubberneck row 5 : 1995 \| "away" \| None \| 23 \| 28 \| rubberneck row 6 : 1996 \| "tyler" \| None \| None \| None \| rubberneck row 7 : 1996 \| "backslider" \| None \| None \| None \| rubberneck row 8 : 2001 \| "push the hand" \| None \| 34 \| None \| hell below/stars above row 9 : 2008 \| "no deliverance" \| None \| 38 \| None \| no deliverance row 10 : 2009 \| "song i hate" \| None \| None \| None \| no deliverance row 11 : 2012 \| "summer of the strange" \| None \| None \| None \| play.rock.music ] Execute this SQL based on the above table: select title where id = ( select id where title = '"song i hate"' ) - 1	"no deliverance"
[ header: title \| year \| channel \| role \| notes row 1 : parkinson \| 2002 \| bbc one \| herself \| performed "we will rock you" and "we row 2 : loose women \| 2007 \| itv \| elphaba \| performed "the wizard and i" row 3 : i'd do anything \| 2008 \| bbc one \| herself \| mentored potential nancys at the row 4 : royal variety performance \| 2008 \| bbc one \| herself \| performed "defying gravity" with bri row 5 : over the rainbow \| 2010 \| bbc one \| herself \| mentored potential dorothys at row 6 : big brother's little brother \| 2010 \| e4 \| herself \| interview row 7 : tonight's the night \| 2010 \| bbc one \| herself \| performed "wind beneath my wings" with contestant row 8 : this morning \| 2010 \| itv \| herself \| interview; performed "anthem" with bri row 9 : breakfast \| 2010 \| bbc one \| herself \| interview row 10 : proms in the park \| 2010 \| bbc red button \| herself \| performed "dangerland", "i'm row 11 : the wright stuff \| 2010 \| channel 5 \| herself \| special guest panelist row 12 : festival of remembrance \| 2010 \| bbc one \| herself \| performed "anthem" with brian may row 13 : only men aloud - merry \| 2010 \| s4c \| herself \| performed "somebody to love" with only men row 14 : breakfast \| 2011 \| bbc one \| herself \| interview with brian may row 15 : 2011 laurence olivier awards \| 2011 \| bbc red button \| herself \| performed "look to the rainbow" with barry row 16 : the alan titchmarsh \| 2011 \| itv \| herself \| performed "defying gravity" row 17 : fern \| 2011 \| channel 4 \| herself \| interview; performed "i love a butterfly" row 18 : the hour \| 2011 \| stv \| herself \| interview; performed "i love a butterfly" row 19 : fa community shield \| 2011 \| sky sports \| herself \| performed the british national anthem row 20 : sanremo music festival 2012 \| 2012 \| rai 1 \| herself \| performed "i (who have nothing)" and row 21 : the voice uk \| 2012 \| bbc one \| herself \| auditioned for the show's first series row 22 : foxes live: wild in the city \| 2012 \| channel 4 \| herself \| appeared in a short film about saving fox row 23 : live with \| 2012 \| channel 5 \| herself \| interview with jeff wayne row 24 : the wright stuff \| 2012 \| channel 5 \| herself \| special guest panelist row 25 : itv news london \| 2013 \| itv \| herself \| interview about tiger tracks and animal conservation with row 26 : the late late show \| 2013 \| rte one \| herself \| interview; performed "life is real" with row 27 : this morning \| 2013 \| itv \| herself \| interview; performed "born free" with bri row 28 : the alan titchmarsh \| 2013 \| itv \| herself \| interview; performed "the kissing me song" row 29 : sunday brunch \| 2013 \| channel 4 \| herself \| interview with brian may row 30 : big brother's bit on the side \| 2013 \| channel 5 \| herself \| surprise guest panelist ] Execute this SQL based on the above table: select role where role in ( 'elphaba' , 'herself' ) and channel = 'channel 5' order by role - year desc limit 1	herself
[ header: pos. \| city \| population (ab) \| surface (km2) \| density (ab/km2) \| altitude (mslm) row 1 : 1st \| bergamo \| 121.316 \| 39.6 \| 3064 \| 249 row 2 : 2nd \| treviglio \| 29.334 \| 31.54 \| 930 \| 125 row 3 : 3rd \| seriate \| 25.036 \| 12.41 \| 2017 \| 247 row 4 : 4th \| dalmine \| 23.237 \| 11.6 \| 2003 \| 207 row 5 : 5th \| romano di lombardia \| 19.472 \| 18.03 \| 1080 \| 120 row 6 : 6th \| albino \| 18.232 \| 31.32 \| 582 \| 342 row 7 : 7th \| caravaggio \| 16.258 \| 32.81 \| 496 \| 111 row 8 : 8th \| alzano lombardo \| 13.821 \| 13.43 \| 1029 \| 304 row 9 : 9th \| stezzano \| 12.999 \| 9.25 \| 1405 \| 211 row 10 : 10th \| osio sotto \| 12.083 \| 7.45 \| 1622 \| 182 ] Execute this SQL based on the above table: select city where pos. = ( select pos. where city = 'albino' ) + 1	caravaggio
[ header: # \| player \| span \| caps \| total caps \| win % row 1 : 1 \| fabien pelous \| 1997-2006 \| 42 \| 118 \| 64.28% row 2 : 2 \| raphael ibanez \| 1998-2007 \| 41 \| 98 \| 63.41% row 3 : 3 \| jean-pierre rives \| 1978-1984 \| 34 \| 59 \| 55.88% row 4 : 3 \| philippe saint-andre \| 1994-1997 \| 34 \| 69 \| 73.53% row 5 : 5 \| thierry dusautoir \| 2009- \| 31 \| 54 \| 54.84% row 6 : 6 \| daniel dubroca \| 1986-1988 \| 11 \| 33 \| 72.00% row 7 : 6 \| fabien galthie \| 1999-2003 \| 11 \| 64 \| 64.00% row 8 : 8 \| guy basquet \| 1948-1952 \| 11 \| 33 \| 50.00% row 9 : 9 \| michel crauste \| 1961-1966 \| 11 \| 63 \| 68.18% row 10 : 10 \| jacques fouroux \| 1974-1977 \| 11 \| 27 \| 66.67% ] Execute this SQL based on the above table: select count ( win % ) where total caps > 1871	0
[ header: date \| championship \| location \| category \| surface \| prev. result \| prev. points \| new points \| outcome row 1 : 29 december 2013- 5 janu \| brisbane international \| brisbane (aus) \| wta premier \| hard \| sf \| 200 \| 305 \| final lost to serena williams row 2 : 14 january 2014- 27 jan \| australian open \| melbourne (aus) \| grand slam \| hard \| w \| 2000 \| 430 \| quarter-finals lost to agnies row 3 : 10 february 2014- 16 february \| qatar total open \| doha (qat) \| wta premier 5 \| hard \| w \| 900 \| 0 \| withdrew due to left foot injury row 4 : 3 march 2014- 16 march 2014 \| indian wells \| indian wells (usa) \| wta premier mandatory \| hard \| qf \| 250 \| 45 \| second round lost to lauren davis row 5 : 17 march 2013- 30 march 2014 \| sony open tennis \| miami (usa) \| wta premier mandatory \| hard \| dnp \| 0 \| 0 \| withdrew due to left foot injury row 6 : 5 may 2014- 11 may 2014 \| mutua madrid masters \| madrid (esp) \| wta premier mandatory \| clay \| 2r \| 60 \| None \| pending row 7 : 12 may 2014- 18 may 2014 \| internazionali bnl \| rome (ita) \| wta premier 5 \| clay \| f \| 700 \| None \| pending row 8 : 25 may 2014- 8 june 2014 \| french open \| paris (fra) \| grand slam \| clay \| sf \| 900 \| None \| pending row 9 : 23 june 2014- 6 july \| wimbledon \| london (gbr) \| grand slam \| grass \| 2r \| 100 \| None \| pending row 10 : 4 august 2014- 10 august 2014 \| rogers cup \| toronto (can) \| wta premier 5 \| hard \| dnp \| 0 \| None \| pending row 11 : 11 august 2014- 17 august 2014 \| western and southern open \| cincinnati (usa) \| wta premier 5 \| hard \| w \| 900 \| None \| pending row 12 : 25 august 2014- 8 september 2014 \| us open \| new york (usa) \| grand slam \| hard \| f \| 1400 \| None \| pending row 13 : 22 september 2014- 27 september 2014 \| toray pan pacific open \| wuhan (chn) \| wta premier 5 \| hard \| 2r \| 60 \| None \| pending row 14 : 27 september 2014- 5 octo \| china open \| beijing (chn) \| wta premier mandatory \| hard \| 1r \| 5 \| None \| pending row 15 : 20 october 2013- 26 \| wta tour championships \| singapore (sin) \| wta tour championships \| hard (i) \| rr \| 400 \| None \| pending ] Execute this SQL based on the above table: select surface where surface in ( 'hard' , 'clay' ) and outcome = 'pending'	clay, clay, clay, hard, hard, hard, hard, hard
[ header: year \| position (after finals) \| coach \| captain \| best & fairest \| leading goalkicker (goals) row 1 : 1997 \| 9 \| john cahill \| gavin wanganeen \| darren mead \| scott cummings (70) row 2 : 1998 \| 10 \| john cahill \| gavin wanganeen \| adam kingsley \| warren tredrea (33) row 3 : 1999 \| 7 (7) \| mark williams \| gavin wanganeen \| stephen paxman \| warren tredrea (40) row 4 : 2000 \| 14 \| mark williams \| gavin wanganeen \| brett montgomery \| warren tredrea (32) row 5 : 2001 \| 3 (5) \| mark williams \| matthew primus \| warren tredrea \| warren tredrea (51) row 6 : 2002 \| 1 (3) \| mark williams \| matthew primus \| matthew primus \| stuart dew (51) row 7 : 2003 \| 1 (4) \| mark williams \| matthew primus \| gavin wanganeen \| warren tredrea (58) row 8 : 2004 \| 1 (premiers) \| mark williams \| matthew primus warren tred \| warren tredrea \| warren tredrea (81) row 9 : 2005 \| 8 (6) \| mark williams \| matthew primus \| warren tredrea \| warren tredrea (65) row 10 : 2006 \| 12 \| mark williams \| warren tredrea \| brendon lade \| josh mahoney (29) row 11 : 2007 \| 2 (grand finalist) \| mark williams \| warren tredrea \| kane cornes \| brett ebert (56) row 12 : 2008 \| 13 \| mark williams \| warren tredrea \| kane cornes \| daniel motlop (57) row 13 : 2009 \| 10 \| mark williams \| domenic cassisi \| warren tredrea \| warren tredrea (51) row 14 : 2010 \| 10 \| mark williams matthew primus \| domenic cassisi \| kane cornes \| jay schulz (33) row 15 : 2011 \| 16 \| matthew primus \| domenic cassisi \| travis boak jackson trengov \| robert gray (32) row 16 : 2012 \| 14 \| matthew primus garry hocking \| domenic cassisi \| kane cornes \| jay schulz (42) row 17 : 2013 \| 7 (5) \| ken hinkley \| travis boak \| chad wingard \| jay schulz (49) row 18 : 2014 \| None \| ken hinkley \| travis boak \| None \| None ] Execute this SQL based on the above table: select captain where captain = 'warren tredrea' order by captain limit 1	warren tredrea
[ header: medal \| name \| sport \| event row 1 : silver \| None \| badminton \| men's team row 2 : silver \| aparna popat \| badminton \| women's singles row 3 : silver \| jitender kumar \| boxing \| middleweight row 4 : silver \| jaspal rana \| shooting \| men's 25 m air pistol row 5 : silver \| jaspal rana satendra \| shooting \| men's air pistol pairs row 6 : silver \| dharmaraj wilson \| weightlifting \| men's 56 kg-combined row 7 : silver \| arumugam k. pandian \| weightlifting \| men's 56 kg-snatch row 8 : silver \| arumugam k. pandian \| weightlifting \| men's 56 kg-clean and jer row 9 : silver \| satheesha rai \| weightlifting \| men's 77 kg-clean and row 10 : silver \| satheesha rai \| weightlifting \| men's 77 kg-combined ] Execute this SQL based on the above table: select count ( * ) where sport = 'badminton'	2
[ header: year \| show \| role \| channel \| notes row 1 : 2004 \| mtv roadies season 2 \| contestant \| mtv india \| winner of mtv roadies season 2 row 2 : 2007 \| kayamath \| saket shergil \| star plus \| None row 3 : 2008 \| pepsi mtv wass \| video jockey \| mtv india \| co-hosted the show with mt row 4 : 2008 \| mtv fully faltoo movie- \| fakir lan \| mtv \| spoof of shahrukh row 5 : 2008 \| mtv fully faltoo movie- \| prince jalebi \| mtv \| spoof of the movie jodha row 6 : 2008 \| mtv roadies hell down under \| anchor \| mtv india \| anchor at the auditions only row 7 : 2008 \| ek thi rajkumari \| antagonist \| zee next \| antagonist row 8 : 2008-09 \| fantastic 5 \| video jockey \| mtv india \| None row 9 : 2009 \| india's got talent season 1 \| anchor \| colors tv \| co-hosted the show with nikh row 10 : 2009 \| kurkure desi beats rock on \| anchor \| mtv india \| anchor at the auditions only row 11 : 2008 \| mtv roadies season 7 \| anchor \| mtv india \| anchor at the auditions only row 12 : 2009 \| stripped \| anchor \| mtv india \| None row 13 : 2009 \| amul music ka maha muqq \| anchor \| star plus \| None row 14 : 2010 \| extra innings t20 for indian premier league \| presenter \| set max \| co-hosted the show with gaurav row 15 : 2010 \| india's got talent season 2 \| anchor \| colors tv \| co-hosted the show with nikh row 16 : 2010 \| kurkure desi beats rock on \| anchor \| mtv india \| co-hosted the show with lis row 17 : 2010 - present \| airtel super star buzz \| anchor \| star plus \| None row 18 : 2011 \| mtv grind \| anchor \| mtv india \| None row 19 : 2011 \| mtv roadies season 8 graveyard \| anchor \| mtv india \| None row 20 : 2011 \| just dance \| anchor \| star plus \| winner, indian television academy award for best anchor ] Execute this SQL based on the above table: select channel where show = 'amul music ka maha muqqabla'	star plus
[ header: pos \| no \| driver \| constructor \| laps \| time/retired \| grid \| points row 1 : 1 \| 3 \| michael schumacher \| ferrari \| 71 \| 1:34:45.026 \| 2 \| 10 row 2 : 2 \| 4 \| eddie irvine \| ferrari \| 71 \| 19.575 \| 4 \| 6 row 3 : 3 \| 8 \| mika hakkinen \| mclaren-mercedes \| 71 \| 19.747 \| 1 \| 4 row 4 : 4 \| 1 \| jacques villeneuve \| williams-mecachrome \| 71 \| +1:06.965 \| 5 \| 3 row 5 : 5 \| 6 \| alexander wurz \| benetton-playlife \| 70 \| +1 lap \| 10 \| 2 row 6 : 6 \| 7 \| david coulthard \| mclaren-mercedes \| 70 \| +1 lap \| 3 \| 1 row 7 : 7 \| 14 \| jean alesi \| sauber-petronas \| 70 \| +1 lap \| 11 \| None row 8 : 8 \| 15 \| johnny herbert \| sauber-petronas \| 70 \| +1 lap \| 13 \| None row 9 : 9 \| 5 \| giancarlo fisichella \| benetton-playlife \| 70 \| +1 lap \| 9 \| None row 10 : 10 \| 18 \| rubens barrichello \| stewart-ford \| 69 \| +2 laps \| 14 \| None row 11 : 11 \| 11 \| olivier panis \| prost-peugeot \| 69 \| +2 laps \| 16 \| None row 12 : 12 \| 19 \| jos verstappen \| stewart-ford \| 69 \| +2 laps \| 15 \| None row 13 : 13 \| 17 \| mika salo \| arrows \| 69 \| +2 laps \| 19 \| None row 14 : 14 \| 16 \| pedro diniz \| arrows \| 69 \| +2 laps \| 17 \| None row 15 : 15 \| 2 \| heinz-harald frent \| williams-mecachrome \| 68 \| suspension \| 8 \| None row 16 : 16 \| 10 \| ralf schumacher \| jordan-mugen-honda \| 68 \| +3 laps \| 6 \| None row 17 : 17 \| 22 \| shinji nakano \| minardi-ford \| 65 \| engine \| 21 \| None row 18 : ret \| 21 \| toranosuke takagi \| tyrrell-ford \| 60 \| engine \| 20 \| None row 19 : ret \| 12 \| jarno trulli \| prost-peugeot \| 55 \| spun off \| 12 \| None row 20 : ret \| 23 \| esteban tuero \| minardi-ford \| 41 \| gearbox \| 22 \| None row 21 : ret \| 9 \| damon hill \| jordan-mugen-honda \| 19 \| hydraulics \| 7 \| None row 22 : ret \| 20 \| ricardo rosset \| tyrrell-ford \| 16 \| hydraulics \| 18 \| None ] Execute this SQL based on the above table: select count ( constructor ) where no < 11 and no > 731	0
[ header: poll source \| date(s) administered \| sample size \| margin of error \| andrew cuomo (d) \| rob astorino (r) \| other \| undecided row 1 : siena \| march 16-20, 2014 \| 813 \| ± 3.4% \| 61% \| 26% \| None \| 13% row 2 : marist \| february 28-march 3, 2014 \| 658 \| ± 3.8% \| 65% \| 25% \| None \| 10% row 3 : quinnipiac \| february 6-10, 2014 \| 1488 \| ± 2.5% \| 58% \| 24% \| 2% \| 16% row 4 : siena \| january 12-16, 2014 \| 808 \| ± 3.4% \| 67% \| 19% \| 3% \| 11% row 5 : quinnipiac \| november 20-24, 2013 \| 1337 \| ± 2.7% \| 56% \| 25% \| 2% \| 17% row 6 : marist \| november 18-20, 2013 \| 675 \| ± 3.8% \| 65% \| 23% \| None \| 12% row 7 : siena \| november 11-14, 2013 \| 806 \| ± 3.5% \| 63% \| 24% \| None \| 13% ] Execute this SQL based on the above table: select margin of error where margin of error = '± 3.4%'	± 3.4%, ± 3.4%
[ header: from \| to \| name \| party \| position row 1 : 1870 \| 1897 \| eugene bernain \| None \| None row 2 : 1897 \| None \| albert le barillier \| None \| None row 3 : 1935 \| 1937 \| daubin \| None \| doctor row 4 : 1937 \| 1941 \| francois dommain \| radical \| None row 5 : 1971 \| 1993 \| victor mendiboure \| udf \| None row 6 : 1993 \| 1999 \| michel bonnet \| udf \| None row 7 : 1999 \| 2001 \| alain lamassoure \| udf \| vice president of the udf advisor to row 8 : 2001 \| 2008 \| robert villenave \| udf ps \| vice-president of cabab vice-p ] Execute this SQL based on the above table: select name where from > 1024	eugene bernain, albert le barillier, daubin, francois dommain, victor mendiboure, michel bonnet, alain lamassoure, robert villenave
[ header: new municipality \| old municipalities \| seat row 1 : gortynia \| dimitsana \| dimitsana row 2 : gortynia \| vytina \| dimitsana row 3 : gortynia \| iraia \| dimitsana row 4 : gortynia \| kleitor \| dimitsana row 5 : gortynia \| kontovazaina \| dimitsana row 6 : gortynia \| langadia \| dimitsana row 7 : gortynia \| trikolonoi \| dimitsana row 8 : gortynia \| tropaia \| dimitsana row 9 : megalopoli \| gortyna \| megalopoli row 10 : megalopoli \| falaisia \| megalopoli row 11 : north kynouria (vore \| north kynouria \| astros row 12 : south kynouria (noti \| leonidio \| leonidio row 13 : south kynouria (noti \| kosmas \| leonidio row 14 : south kynouria (noti \| tyros \| leonidio row 15 : tripoli \| valtetsi \| tripoli row 16 : tripoli \| korythio \| tripoli row 17 : tripoli \| levidi \| tripoli row 18 : tripoli \| mantineia \| tripoli row 19 : tripoli \| skyritida \| tripoli row 20 : tripoli \| tegea \| tripoli row 21 : tripoli \| falanthos \| tripoli ] Execute this SQL based on the above table: select old municipalities where id = 5	kontovazaina
[ header: state \| type \| name \| title \| royal house \| from \| to row 1 : chu \| sovereign \| huai \| king \| mi \| 328 bc \| 299 bc row 2 : han \| sovereign \| xiang \| marquis \| None \| 311 bc \| 296 bc row 3 : lu \| sovereign \| wen ii \| duke \| ji \| 302 bc \| 280 bc row 4 : qi \| sovereign \| min \| king \| tian \| 300 bc \| 284 bc row 5 : qin \| sovereign \| zhaoxiang \| king \| ying \| 306 bc \| 251 bc row 6 : song \| sovereign \| kang \| king \| None \| 328 bc \| 286 bc row 7 : wei \| sovereign \| xiang \| king \| None \| 318 bc \| 296 bc row 8 : wey \| sovereign \| si jun \| marquis \| None \| 334 bc \| 293 bc row 9 : yan \| sovereign \| zhao \| king \| None \| 311 bc \| 279 bc row 10 : zhao \| sovereign \| wuling \| king \| None \| 325 bc \| 299 bc ] Execute this SQL based on the above table: select royal house where id = ( select id where royal house = 'ji' order by id desc limit 1 ) + 1	tian
[ header: year \| winners \| score \| score \| runners-up \| venue \| winning captain row 1 : 2000 \| meath \| 5-14 (29) \| 2-10 (16) \| carlow \| cusack park \| None row 2 : 2001 \| kerry \| 4-14 (22) \| 3-10 (19) \| westmeath \| croke park \| michael 'boxer' row 3 : 2002 \| laois \| 1-20 (23) \| 2-14 (20) \| antrim \| semple stadium \| john lyons row 4 : 2003 \| antrim \| 3-18 (27) \| 3-12 (21) \| kerry \| croke park \| None row 5 : 2004 \| down \| 5-15 (30) \| 3-7 (16) \| westmeath \| gaelic grounds \| simon wilson row 6 : 2005 \| offaly \| 6-21 (39) \| 4-7 (19) \| carlow \| semple stadium \| barry teehan row 7 : 2006 \| dublin \| 0-16 (16) \| 1-6 (9) \| kerry \| semple stadium \| philip brennan row 8 : 2007 \| laois \| 2-19 (25) \| 0-8 (8) \| wicklow \| semple stadium \| joe fitzpatrick row 9 : 2008 \| westmeath \| 2-12 (18) \| 0-12 (12) \| carlow \| gaelic grounds \| brendan murtagh row 10 : 2009 \| offaly \| 1-13 (16) \| 0-13 (13) \| wexford \| semple stadium \| ger oakley row 11 : 2010 \| wexford \| 1-16 (19) \| 2-9 (15) \| clare \| semple stadium \| diarmuid lyng row 12 : 2011 \| limerick \| 4-12 (24) \| 2-13 (19) \| clare \| cusack park \| gavin o'mahony row 13 : 2012 \| clare \| 0-21 (21) \| 1-16 (19) \| limerick \| gaelic grounds \| patrick donnellan row 14 : 2013 \| dublin \| 1-16 (19) \| 1-15 (18) \| limerick \| semple stadium \| tbc ] Execute this SQL based on the above table: select winning captain where year = 2007	joe fitzpatrick
[ 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 count ( central division v t e ) where pct > '0.5'	1
[ header: # \| air date \| timeslot (est) \| season \| rating \| share \| 18-49 (rating/share) \| viewers (m) \| weekly rank (#) row 1 : 1 \| march 2, 2008 \| sunday 9:00 p.m \| 2007-2008 \| 9.4 \| 14 \| 5.3/12 \| 15.55 \| 4 row 2 : 2 \| march 9, 2008 \| sunday 9:00 p.m \| 2007-2008 \| 7.4 \| 11 \| 4.1/10 \| 11.83 \| 10 row 3 : 3 \| march 16, 2008 \| sunday 9:00 p.m \| 2007-2008 \| 6 \| 9 \| 3.6/9 \| 9.71 \| 18 row 4 : 4 \| march 23, 2008 \| sunday 9:00 p.m \| 2007-2008 \| 6.1 \| 10 \| 3.5/9 \| 9.92 \| 19 row 5 : 5 \| march 30, 2008 \| sunday 9:00 p.m \| 2007-2008 \| 7.1 \| 11 \| 3.9/9 \| 11.35 \| 13 row 6 : 6 \| april 6, 2008 \| sunday 9:00 p.m \| 2007-2008 \| 5.9 \| 9 \| 3.2/8 \| 9.42 \| 27 row 7 : 7 \| april 13, 2008 \| sunday 8:00 p.m \| 2007-2008 \| 5.6 \| 9 \| 2.9/9 \| 8.88 \| 19 row 8 : 8 \| april 20, 2008 \| sunday 8:00 p.m \| 2007-2008 \| 6.4 \| 10 \| 3.2/9 \| 10.03 \| None ] Execute this SQL based on the above table: select air date order by 18-49 (rating/share) desc limit 1	march 2, 2008
[ header: year \| player \| position \| high school \| college row 1 : 1987 \| buster howe \| rb-db-k-p \| zanesville \| ohio state row 2 : 1988 \| robert smith \| rb \| euclid \| ohio state row 3 : 1989 \| robert smith \| rb \| euclid \| ohio state row 4 : 1990 \| bobby hoying \| qb \| st. henry \| ohio state row 5 : 1991 \| derek kidwell \| qb-de \| fostoria \| bowling green row 6 : 1992 \| marc edwards \| rb-lb \| norwood \| notre dame row 7 : 1993 \| curtis enis \| rb-lb \| mississinawa valley \| penn state row 8 : 1994 \| charles woodson \| db-rb \| fremont ross \| michigan row 9 : 1995 \| andy katzenmoyer \| lb \| westerville south \| ohio state row 10 : 1996 \| derek combs \| rb-db-kr \| grove city \| ohio state row 11 : 1997 \| tony fisher \| rb \| euclid \| notre dame row 12 : 1998 \| ryan brewer \| rb \| troy \| south carolina row 13 : 1999 \| bam childress \| db-wr-kr \| st. peter chanel \| ohio state row 14 : 2000 \| jeff backes \| rb-db \| upper arlington \| northwestern row 15 : 2001 \| maurice clarett \| rb \| warren g. harding \| ohio state row 16 : 2002 \| ben mauk \| qb \| kenton \| wake forest cincinnati row 17 : 2003 \| ray williams \| rb \| cleveland benedictine \| west virginia row 18 : 2004 \| tyrell sutton \| rb \| archbishop hoban \| northwestern row 19 : 2005 \| delone carter \| rb \| copley \| syracuse row 20 : 2006 \| brandon saine \| rb \| piqua \| ohio state row 21 : 2007 \| bart tanski \| qb \| mentor \| bowling green row 22 : 2008 \| erick howard \| rb \| north canton hoover \| akron row 23 : 2009 \| erick howard \| rb \| north canton hoover \| akron row 24 : 2010 \| akise teague \| rb-db-kr \| youngstown ursuline \| cincinnati row 25 : 2011 \| maty mauk \| qb \| kenton \| missouri row 26 : 2012 \| mitch trubisky \| qb \| mentor \| north carolina row 27 : 2013 \| dante booker jr \| lb \| st. vincent - s \| ohio state ] Execute this SQL based on the above table: select high school where high school = 'youngstown ursuline' order by high school limit 467	youngstown ursuline
[ header: season \| tier \| division \| pos. \| notes row 1 : 2002-03 \| 3 \| 1a estatal \| 9th \| None row 2 : 2003-04 \| 3 \| 1a estatal \| 3rd \| None row 3 : 2004-05 \| 3 \| 1a estatal \| 3rd \| None row 4 : 2005-06 \| 3 \| 1a estatal \| 2nd \| promoted row 5 : 2006-07 \| 2 \| honor b \| 10th \| None row 6 : 2007-08 \| 2 \| honor b \| 11th \| None row 7 : 2008-09 \| 2 \| honor b \| 11th \| None row 8 : 2009-10 \| 2 \| plata \| 5th \| None row 9 : 2010-11 \| 2 \| plata \| 9th \| None row 10 : 2011-12 \| 2 \| plata \| 2nd \| promoted row 11 : 2012-13 \| 1 \| asobal \| 16th \| relegated row 12 : 2013-14 \| 2 \| plata \| None \| None ] Execute this SQL based on the above table: select pos. order by tier desc limit 1	9th
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 10 october 2004 \| estadio cuscatlan, \| el salvador \| 2-0 \| 2-0 \| 2006 fifa world cup qualification row 2 : 2 \| 13 october 2004 \| rfk stadium, washington, \| panama \| 3-0 \| 6-0 \| 2006 fifa world cup qualification row 3 : 3 \| 13 october 2004 \| rfk stadium, washington, \| panama \| 4-0 \| 6-0 \| 2006 fifa world cup qualification row 4 : 4 \| 13 october 2004 \| rfk stadium, washington, \| panama \| 5-0 \| 6-0 \| 2006 fifa world cup qualification row 5 : 5 \| 17 november 2004 \| columbus crew stadium, columbus, \| jamaica \| 1-0 \| 1-1 \| 2006 fifa world cup qualification row 6 : 6 \| 9 february 2005 \| queen's park oval, port of spain \| trinidad and tobago \| 1-0 \| 2-1 \| 2006 fifa world cup qualification row 7 : 7 \| 19 march 2005 \| university stadium, albuquerque, united \| honduras \| 1-0 \| 1-0 \| friendly row 8 : 8 \| 30 march 2005 \| legion field, birmingham, united \| guatemala \| 1-0 \| 2-0 \| 2006 fifa world cup qualification row 9 : 9 \| 19 february 2006 \| pizza hut park, frisco, united states \| guatemala \| 3-0 \| 4-0 \| friendly row 10 : 10 \| 9 june 2007 \| the home depot center, carson, united states \| trinidad and tobago \| 2-0 \| 2-0 \| 2007 concacaf gold cup row 11 : 11 \| 28 june 2007 \| estadio jose pachencho \| argentina \| 1-0 \| 1-4 \| 2007 copa america row 12 : 12 \| 15 june 2008 \| the home depot center, carson, united states \| barbados \| 6-0 \| 8-0 \| 2010 fifa world cup qualification row 13 : 13 \| 12 october 2012 \| sir vivian richards stadium \| antigua and barbuda \| 1-0 \| 2-1 \| 2014 fifa world cup qualification row 14 : 14 \| 12 october 2012 \| sir vivian richards stadium \| antigua and barbuda \| 2-1 \| 2-1 \| 2014 fifa world cup qualification row 15 : 15 \| 12 june 2013 \| centurylink field, seattle, united states \| panama \| 2-0 \| 2-0 \| 2014 fifa world cup qualification row 16 : 16 \| 21 july 2013 \| m&t bank stadium, balti \| el salvador \| 3-1 \| 5-1 \| 2013 concacaf gold cup row 17 : 17 \| 24 july 2013 \| cowboys stadium, arlington, united \| honduras \| 1-0 \| 3-1 \| 2013 concacaf gold cup row 18 : 18 \| 14 august 2013 \| asim ferhatovic hase stadium, \| bosnia and herzegovin \| 1-2 \| 4-3 \| friendly row 19 : 19 \| 10 september 2013 \| columbus crew stadium, columbus, \| mexico \| 1-0 \| 2-0 \| 2014 fifa world cup qualification ] Execute this SQL based on the above table: select opponent where # = ( select # where opponent = 'honduras' ) + 1	guatemala
[ header: kilometers \| name \| location \| intersecting routes row 1 : 0 \| netanya mall \| netanya \| petah tikva street, r row 2 : 0.6 \| netanya interchange \| netanya \| highway 2 row 3 : 0.75 \| harakevet road \| netanya \| entrance to netanya railway station row 4 : 1.45 \| pinkas street \| netanya \| pinkas street row 5 : 2.2 \| deganya road \| netanya \| deganya road row 6 : 2.8 \| beit yitzhak \| beit yitzhak \| hasharon road row 7 : 3.8 \| ganot hadar \| ganot hadar \| entrance to ganot hadar and nordiy row 8 : 4.3 \| hasharon junction ("beit lid") \| ganot hadar \| highway 4 row 9 : 6.2 \| rabin boulevard \| kfar yona \| entrance to kfar yona row 10 : 7.3 \| begin boulevard \| kfar yona \| entrance to kfar yona row 11 : 7.7 \| ha'atzmaut street \| haniel \| entrance to haniel row 12 : 9.3 \| yanuv junction \| yanuv \| route 5613, entrance to yanu row 13 : 10 \| haerez way \| tnuvot industrial zone \| entrance to tnuvot and row 14 : 12 \| be'erotayim junction \| hagor \| entrance to be'erotayim and row 15 : 13.2 \| nitzanei oz junction \| nitzanei oz \| route 5714, entrance to nitz row 16 : 14.5 \| nitzanei oz interchange \| nitzanei oz \| highway 6 row 17 : 15 \| idf checkpoint \| tulkarm \| entrance to nitzanei s ] Execute this SQL based on the above table: select name group by name order by count ( * ) desc limit 1	yanuv junction
[ 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 attendance - attendance + 1 where record = '6-10'	1.0
[ header: # \| date \| film \| gross \| notes row 1 : 2 \| january 13, 2002 \| the lord of the rings: the fellowship \| $16,201,260 \| None row 2 : 3 \| january 20, 2002 \| black hawk down \| $28,611,736 \| black hawk down broke save the last dance' row 3 : 5 \| february 3, 2002 \| black hawk down \| $11,112,555 \| None row 4 : 8 \| february 24, 2002 \| queen of the damned \| $14,757,535 \| None row 5 : 11 \| march 17, 2002 \| ice age \| $46,312,454 \| ice age broke liar l row 6 : 13 \| march 31, 2002 \| panic room \| $30,056,751 \| None row 7 : 14 \| april 7, 2002 \| panic room \| $18,244,157 \| None row 8 : 15 \| april 14, 2002 \| changing lanes \| $17,128,062 \| None row 9 : 24 \| june 16, 2002 \| scooby-doo \| $54,155,312 \| None row 10 : 26 \| june 30, 2002 \| mr. deeds \| $37,162,787 \| None row 11 : 28 \| july 14, 2002 \| men in black ii \| $24,410,311 \| None row 12 : 29 \| july 21, 2002 \| road to perdition \| $15,412,515 \| road to perdition reached #1 in its second weekend row 13 : 32 \| august 11, 2002 \| xxx \| $44,506,103 \| None row 14 : 33 \| august 18, 2002 \| xxx \| $22,111,421 \| None row 15 : 35 \| september 1, 2002 \| signs \| $13,441,194 \| None row 16 : 37 \| september 15, 2002 \| barbershop \| $20,627,433 \| None row 17 : 39 \| september 29, 2002 \| sweet home alabama \| $35,648,740 \| sweet home alabama broke rush hour row 18 : 43 \| october 27, 2002 \| jackass: the movie \| $22,763,437 \| None row 19 : 45 \| november 10, 2002 \| 8 mile \| $51,240,555 \| None row 20 : 47 \| november 24, 2002 \| die another day \| $47,072,040 \| None row 21 : 48 \| december 1, 2002 \| harry potter and the chamber of secrets \| $32,117,496 \| harry potter and the chamber of secrets ] Execute this SQL based on the above table: select date where # = 5	february 3, 2002
[ header: constituency \| region \| name \| party \| last elected row 1 : 1 \| arica and parinacota tarapac \| fulvio rossi \| ps \| 2009 row 2 : 2 \| antofagasta \| carlos cantero ojeda \| ind \| 2005 row 3 : 2 \| antofagasta \| jose antonio gomez \| prsd \| 2005 row 4 : 3 \| atacama \| isabel allende \| ps \| 2009 row 5 : 4 \| coquimbo \| gonzalo uriarte \| udi \| 2005 row 6 : 5 \| valparaiso \| ignacio walker \| pdc \| 2009 row 7 : 5 \| valparaiso \| lily perez \| rn \| 2009 row 8 : 6 \| valparaiso \| ricardo l. weber \| ppd \| 2009 row 9 : 6 \| valparaiso \| francisco chahuan \| rn \| 2009 row 10 : 7 \| santiago \| jovino novoa vasque \| udi \| 2005 row 11 : 8 \| santiago \| soledad alvear valenzue \| pdc \| 2005 row 12 : 9 \| o'higgins \| alejandro garcia-huidobro \| udi \| 2005 row 13 : 9 \| o'higgins \| juan pablo letelier morel \| ps \| 2005 row 14 : 10 \| maule \| ximena rincon \| pdc \| 2009 row 15 : 10 \| maule \| juan antonio colo \| udi \| 2009 row 16 : 11 \| maule \| hernan larrain fernandez \| udi \| 2009 row 17 : 12 \| biobio \| hosain sabag castill \| pdc \| 2005 row 18 : 13 \| biobio \| mariano ruiz-es \| pdc \| 2005 row 19 : 14 \| araucania \| jaime quintana \| ppd \| 2009 row 20 : 14 \| araucania \| alberto espina otero \| rn \| 2009 row 21 : 15 \| araucania \| eugenio tuma \| ppd \| 2009 row 22 : 15 \| araucania \| jose garcia ruminot \| rn \| 2009 row 23 : 16 \| los rios (plus district 55) \| carlos larrain pena \| rn \| 2005 row 24 : 16 \| los rios (plus district 55) \| eduardo frei rui \| pdc \| 2005 row 25 : 17 \| los lagos (minus district 55) \| camilo escalona medin \| ps \| 2005 row 26 : 17 \| los lagos (minus district 55) \| carlos kuschel silva \| rn \| 2005 row 27 : 18 \| aisen \| patricio walker \| pdc \| 2009 row 28 : 18 \| aisen \| antonio horvath \| rn \| 2001 row 29 : 19 \| magallanes \| carlos bianchi chelech (vic \| ind \| 2005 row 30 : 19 \| magallanes \| pedro munoz abur \| ps \| 2005 ] Execute this SQL based on the above table: select max ( constituency )	19.0
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| south korea \| 9 \| 2 \| 1 \| 12 row 2 : 2 \| chinese taipei \| 2 \| 3 \| 3 \| 8 row 3 : 3 \| spain \| 1 \| 5 \| 4 \| 10 row 4 : 4 \| united states \| 1 \| 2 \| 7 \| 10 row 5 : 5 \| turkey \| 1 \| 1 \| 2 \| 4 row 6 : 6 \| west germany \| 1 \| 0 \| 3 \| 4 row 7 : 7 \| netherlands \| 1 \| 0 \| 1 \| 2 row 8 : 8 \| mexico \| 0 \| 2 \| 1 \| 3 row 9 : 9 \| indonesia \| 0 \| 1 \| 0 \| 1 row 10 : 10 \| france \| 0 \| 0 \| 2 \| 2 row 11 : 11 \| australia \| 0 \| 0 \| 1 \| 1 row 12 : 11 \| canada \| 0 \| 0 \| 1 \| 1 row 13 : 11 \| ivory coast \| 0 \| 0 \| 1 \| 1 row 14 : 11 \| denmark \| 0 \| 0 \| 1 \| 1 row 15 : 11 \| italy \| 0 \| 0 \| 1 \| 1 row 16 : 11 \| jordan \| 0 \| 0 \| 1 \| 1 row 17 : 11 \| nepal \| 0 \| 0 \| 1 \| 1 row 18 : 11 \| switzerland \| 0 \| 0 \| 1 \| 1 row 19 : total \| total \| 16 \| 16 \| 32 \| 64 ] Execute this SQL based on the above table: select abs ( ( select bronze where nation = 'turkey' ) - ( select bronze where nation = 'mexico' ) )	1.0
[ 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 place where id = 1	5th
[ header: outcome \| no. \| date \| tournament \| surface \| opponent \| score row 1 : runner-up \| 1 \| 1 august 2011 \| sao paulo, brazi \| clay \| maria fernanda alves \| 6-4, 5-7, 3-6 row 2 : winner \| 1 \| 24 october 2011 \| goiania, brazil \| clay \| barbara luz \| 6-2, 6-0 row 3 : winner \| 2 \| 2 april 2012 \| ribeirao preto, brazil \| hard \| natasha fourouclas \| 6-0, 6-1 row 4 : winner \| 3 \| 25 march 2013 \| ribeirao preto, brazil \| clay \| andrea benitez \| 7-6(7-2), 6-2 row 5 : winner \| 4 \| 15 april 2013 \| antalya 15, turkey \| hard \| tereza martincova \| 6-4, 6-3 row 6 : runner-up \| 2 \| 20 may 2013 \| caserta, italy \| clay \| renata voracova \| 4-6, 1-6 row 7 : runner-up \| 3 \| 17 june 2013 \| lenzerheide, switze \| clay \| laura siegemund \| 2-6, 3-6 ] Execute this SQL based on the above table: select count ( surface ) where surface = 'hard'	2
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| china \| 41 \| 27 \| 13 \| 81 row 2 : 2 \| russia \| 26 \| 22 \| 34 \| 82 row 3 : 3 \| south korea \| 26 \| 12 \| 17 \| 55 row 4 : 4 \| ukraine \| 23 \| 15 \| 17 \| 55 row 5 : 5 \| japan \| 13 \| 13 \| 21 \| 47 row 6 : 6 \| france \| 8 \| 8 \| 4 \| 20 row 7 : 7 \| great britain \| 8 \| 3 \| 6 \| 17 row 8 : 8 \| united states \| 5 \| 13 \| 18 \| 36 row 9 : 9 \| north korea \| 3 \| 8 \| 3 \| 14 row 10 : 10 \| poland \| 3 \| 4 \| 3 \| 10 row 11 : 11 \| chinese taipei \| 3 \| 3 \| 5 \| 11 row 12 : 12 \| belarus \| 3 \| 3 \| 4 \| 10 row 13 : 13 \| germany \| 3 \| 2 \| 8 \| 13 row 14 : 14 \| hungary \| 3 \| 2 \| 7 \| 12 row 15 : 15 \| czech republic \| 3 \| 0 \| 3 \| 6 row 16 : 16 \| australia \| 2 \| 5 \| 5 \| 12 row 17 : 17 \| italy \| 2 \| 5 \| 5 \| 12 row 18 : 18 \| kazakhstan \| 2 \| 4 \| 0 \| 6 row 19 : 19 \| south africa \| 2 \| 1 \| 2 \| 5 row 20 : 20 \| uzbekistan \| 2 \| 0 \| 1 \| 3 row 21 : 21 \| spain \| 1 \| 4 \| 8 \| 13 row 22 : 22 \| brazil \| 1 \| 2 \| 8 \| 11 row 23 : 23 \| romania \| 1 \| 2 \| 4 \| 7 row 24 : 24 \| netherlands \| 1 \| 1 \| 2 \| 4 row 25 : 25 \| morocco \| 1 \| 1 \| 1 \| 3 row 26 : 25 \| serbia and montenegro \| 1 \| 1 \| 1 \| 3 row 27 : 27 \| latvia \| 1 \| 0 \| 0 \| 1 row 28 : 27 \| moldova \| 1 \| 0 \| 0 \| 1 row 29 : 29 \| mexico \| 0 \| 3 \| 2 \| 5 row 30 : 30 \| finland \| 0 \| 3 \| 1 \| 4 row 31 : 32 \| iran \| 0 \| 2 \| 2 \| 4 row 32 : 33 \| slovenia \| 0 \| 2 \| 0 \| 2 row 33 : 33 \| turkey \| 0 \| 2 \| 0 \| 2 row 34 : 35 \| canada \| 0 \| 1 \| 2 \| 3 row 35 : 35 \| switzerland \| 0 \| 1 \| 2 \| 3 row 36 : 35 \| estonia \| 0 \| 1 \| 2 \| 3 row 37 : 38 \| cuba \| 0 \| 1 \| 1 \| 2 row 38 : 38 \| ireland \| 0 \| 1 \| 1 \| 2 row 39 : 40 \| denmark \| 0 \| 1 \| 0 \| 1 row 40 : 40 \| uganda \| 0 \| 1 \| 0 \| 1 row 41 : 42 \| croatia \| 0 \| 0 \| 3 \| 3 row 42 : 42 \| thailand \| 0 \| 0 \| 3 \| 3 row 43 : 44 \| israel \| 0 \| 0 \| 2 \| 2 row 44 : 45 \| armenia \| 0 \| 0 \| 1 \| 1 row 45 : 45 \| jamaica \| 0 \| 0 \| 1 \| 1 row 46 : 45 \| mongolia \| 0 \| 0 \| 1 \| 1 row 47 : 45 \| malaysia \| 0 \| 0 \| 1 \| 1 row 48 : 45 \| austria \| 0 \| 0 \| 1 \| 1 row 49 : 45 \| greece \| 0 \| 0 \| 1 \| 1 row 50 : 45 \| cyprus \| 0 \| 0 \| 1 \| 1 row 51 : 45 \| bahamas \| 0 \| 0 \| 1 \| 1 row 52 : 45 \| bosnia and herzegovin \| 0 \| 0 \| 1 \| 1 ] Execute this SQL based on the above table: select gold where total > 1 order by total limit 1	0
[ header: # \| prime minister \| date of birth \| start date of (first) term \| age at beginning of (first) term \| end date of (final) term \| total time in office \| date of death \| lifespan row 1 : 1 \| edmund barton \| 18 january 1849 \| 1-jan-01 \| 51 years, 348 days \| 24-sep-03 \| 996 days \| 7-jan-20 \| 25,920 days (70 years, 354 days row 2 : 2 \| alfred deakin \| 3 august 1856 \| 24-sep-03 \| 47 years, 52 days \| 29-apr-10 \| 1,774 days \| 7-oct-19 \| 23,074 days (63 years, 65 days row 3 : 3 \| chris watson \| 9 april 1867 \| 27-apr-04 \| 37 years, 18 days \| 18-aug-04 \| 113 days \| 18-nov-41 \| 27,251 days (74 years, 223 row 4 : 4 \| george reid \| 25 february 1845 \| 18-aug-04 \| 59 years, 175 days \| 5-jul-05 \| 321 days \| 12-sep-18 \| 26,861 days (73 years, 199 row 5 : 7 \| billy hughes \| 25 september 1862 \| 27-oct-15 \| 53 years, 32 days \| 9-feb-23 \| 2,662 days \| 28-oct-52 \| 32,905 days (90 years, 33 row 6 : 8 \| stanley bruce \| 15 april 1883 \| 9-feb-23 \| 39 years, 300 days \| 22-oct-29 \| 2,447 days \| 25-aug-67 \| 30,812 days (84 years, 132 row 7 : 9 \| james scullin \| 18 september 1876 \| 22-oct-29 \| 53 years, 34 days \| 6-jan-32 \| 806 days \| 28-jan-53 \| 27,890 days (76 years, 132 row 8 : 10 \| joseph lyons \| 15 september 1879 \| 6-jan-32 \| 52 years, 113 days \| 7-apr-39 \| 2,648 days \| 7-apr-39 \| 21,753 days (59 years, 204 row 9 : 11 \| earle page \| 8 august 1880 \| 7-apr-39 \| 58 years, 242 days \| 26-apr-39 \| 19 days \| 20-dec-61 \| 29,718 days (81 years, 134 row 10 : 12 \| robert menzies \| 20 december 1894 \| 26-apr-39 \| 44 years, 127 days \| 26-jan-66 \| 6,735 days \| 15-may-78 \| 30,461 days (83 years, 146 row 11 : 14 \| john curtin \| 8 january 1885 \| 7-oct-41 \| 56 years, 272 days \| 5-jul-45 \| 1,367 days \| 5-jul-45 \| 22,092 days (60 years, 178 row 12 : 15 \| frank forde \| 18 july 1890 \| 6-jul-45 \| 54 years, 353 days \| 13-jul-45 \| 7 days \| 28-jan-83 \| 33,796 days (92 years, 19 row 13 : 16 \| ben chifley \| 22 september 1885 \| 13-jul-45 \| 59 years, 294 days \| 19-dec-49 \| 1,620 days \| 13-jun-51 \| 24,004 days (65 years, 264 row 14 : 17 \| harold holt \| 5-aug-08 \| 26-jan-66 \| 57 years, 174 days \| 19-dec-67 \| 690 days \| 17-dec-67 \| 21,683 days (59 years, 134 ] Execute this SQL based on the above table: select start date of (first) term where start date of (first) term in ( '22-oct-29' , '9-feb-23' ) order by total time in office desc limit 1	9-feb-23
[ header: goal \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 24 january 2007 \| estadio cuscatlan, \| denmark \| 1-0 \| 1-0 \| friendly row 2 : 2 \| 8 february 2007 \| estadio cuscatlan, \| belize \| 2-0 \| 2-1 \| 2007 uncaf nations cup row 3 : 3 \| 10 february 2007 \| estadio cuscatlan, \| nicaragua \| 1-0 \| 2-1 \| 2007 uncaf nations cup row 4 : 4 \| 10 february 2007 \| estadio cuscatlan, \| nicaragua \| 2-1 \| 2-1 \| 2007 uncaf nations cup row 5 : 5 \| 8 september 2007 \| estadio olimpico at \| ecuador \| 1-2 \| 1-5 \| friendly row 6 : 6 \| 13 october 2007 \| estadio cuscatlan, \| costa rica \| 1-2 \| 2-2 \| friendly row 7 : 7 \| 6 february 2008 \| estadio cuscatlan, \| anguilla \| 9-0 \| 12-0 \| 2010 fifa world cup qualification row 8 : 8 \| 22 june 2008 \| estadio cuscatlan, \| panama \| 1-1 \| 3-1 \| 2010 fifa world cup qualification row 9 : 9 \| 22 june 2008 \| estadio cuscatlan, \| panama \| 2-1 \| 3-1 \| 2010 fifa world cup qualification row 10 : 10 \| 15 october 2008 \| estadio cuscatlan, \| suriname \| 2-0 \| 3-0 \| 2010 fifa world cup qualification row 11 : 11 \| 22 october 2008 \| robert f. kenne \| bolivia \| 1-0 \| 2-0 \| friendly row 12 : 12 \| 28 march 2009 \| estadio cuscatlan, \| united states \| 1-0 \| 2-2 \| 2010 fifa world cup qualification row 13 : 13 \| 6 june 2009 \| estadio cuscatlan, \| mexico \| 2-1 \| 2-1 \| 2010 fifa world cup qualification row 14 : 14 \| 3 march 2010 \| los angeles coliseum, \| guatemala \| 2-1 \| 2-1 \| friendly row 15 : 15 \| 12 june 2011 \| soldier field, chicago, united states \| cuba \| 6-1 \| 6-1 \| 2011 concacaf gold cup ] Execute this SQL based on the above table: select min ( goal )	1.0
[ header: rank \| name \| caps \| goals \| years row 1 : 1 \| bedford jezzard \| 3 \| 6 \| 1954-1955 row 2 : 2 \| tommy taylor \| 2 \| 4 \| 1956 row 3 : 2 \| gordon hill \| 6 \| 4 \| 1978 row 4 : 2 \| alan smith \| 4 \| 4 \| 1990-1992 row 5 : 5 \| jack rowley \| 1 \| 3 \| 1949 row 6 : 5 \| brian talbot \| 6 \| 3 \| 1978-1980 row 7 : 5 \| paul merson \| 4 \| 3 \| 1991-1998 row 8 : 5 \| matthew le tissier \| 6 \| 3 \| 1990-1998 ] Execute this SQL based on the above table: select name where name in ( 'tommy taylor' , 'tommy taylor' ) order by rank desc limit 1	tommy taylor
[ header: game \| date \| visitor \| score \| home \| decision \| attendance \| record \| points row 1 : 34 \| january 3 \| ny rangers \| 2 - 4 \| philadelphia \| parent \| 17007 \| 22-8-4 \| 48 row 2 : 35 \| january 5 \| philadelphia \| 3 - 3 \| minnesota \| parent \| 15296 \| 22-8-5 \| 49 row 3 : 36 \| january 7 \| philadelphia \| 1 - 2 \| montreal \| parent \| 19040 \| 22-9-5 \| 49 row 4 : 37 \| january 10 \| minnesota \| 4 - 7 \| philadelphia \| parent \| 17007 \| 23-9-5 \| 51 row 5 : 38 \| january 11 \| philadelphia \| 7 - 6 \| atlanta \| taylor \| 5141 \| 24-9-5 \| 53 row 6 : 39 \| january 13 \| atlanta \| 0 - 1 \| philadelphia \| parent \| 17007 \| 25-9-5 \| 55 row 7 : 40 \| january 17 \| buffalo \| 2 - 7 \| philadelphia \| parent \| 17007 \| 26-9-5 \| 57 row 8 : 41 \| january 19 \| los angeles \| 0 - 2 \| philadelphia \| parent \| 17007 \| 27-9-5 \| 59 row 9 : 42 \| january 20 \| pittsburgh \| 5 - 3 \| philadelphia \| parent \| 17007 \| 27-10-5 \| 59 row 10 : 43 \| january 22 \| philadelphia \| 3 - 2 \| vancouver \| taylor \| 15570 \| 28-10-5 \| 61 row 11 : 44 \| january 24 \| philadelphia \| 4 - 4 \| los angeles \| parent \| 14343 \| 28-10-6 \| 62 row 12 : 45 \| january 25 \| philadelphia \| 5 - 0 \| california \| parent \| 10776 \| 29-10-6 \| 64 row 13 : 46 \| january 27 \| philadelphia \| 3 - 5 \| boston \| taylor \| 15003 \| 29-11-6 \| 64 row 14 : 47 \| january 31 \| buffalo \| 3 - 4 \| philadelphia \| parent \| 17007 \| 30-11-6 \| 66 ] Execute this SQL based on the above table: select visitor where points = 62	philadelphia
[ header: # \| player \| σ points \| qual. \| final row 1 : 1 \| karel hromadka \| 9.5 \| 3 \| 6.5 row 2 : 2 \| jan schulz (czechos \| 9 \| 4 \| 5 row 3 : 3 \| erwin voellmy (switz \| 8.5 \| 3.5 \| 5 row 4 : 4 \| karl behting (latvia \| 8 \| 2 \| 6 row 5 : 4 \| georges renaud (france \| 8 \| 3 \| 5 row 6 : 4 \| roberto grau (argentina \| 8 \| 3.5 \| 4.5 row 7 : 4 \| george koltanowski (bel \| 8 \| 3.5 \| 4.5 row 8 : 8 \| giovanni cenni (ital \| 7.5 \| 1.5 \| 6 row 9 : 8 \| endre steiner (hungary) \| 7.5 \| 2 \| 5.5 row 10 : 8 \| otto zimmermann (switz \| 7.5 \| 2.5 \| 5 row 11 : 8 \| dawid daniuszewski (poland \| 7.5 \| 2.5 \| 5 row 12 : 8 \| karoly sterk (hungary \| 7.5 \| 3 \| 4.5 row 13 : 8 \| damian reca (argentina) \| 7.5 \| 3.5 \| 4 row 14 : 14-45 \| etc \| None \| None \| None ] Execute this SQL based on the above table: select player where id = ( select id where player = 'georges renaud (france)' ) - 1	karl behting (latvia)
[ header: year \| representative \| hometown \| placement in miss nepal \| special awards at miss nepal \| placement in miss pokhara row 1 : 1995 \| rita gurung \| pamee \| 1st runner up \| None \| winner row 2 : 1996 \| binita gurung \| batulichor \| 2nd runner up \| None \| winner row 3 : 1997 \| neelima gurung \| nadipur \| winner \| miss personality \| winner row 4 : 1998 \| sunita ranjit \| lakeside \| None \| None \| winner row 5 : 1999 \| kripa gurung \| tersapatti \| 2nd runner up \| miss photogenic \| winner row 6 : 2004 \| anita gurung \| bajapatan \| 2nd runner up \| miss talent \| miss paschimanchal 2003 row 7 : 2005 \| chandra gurung \| ghorepatan \| None \| None \| None row 8 : 2011 \| madina begum \| pokreli \| None \| miss perseverance \| None row 9 : 2012 \| dilasha gc \| chindata \| None \| None \| None row 10 : 2013 \| sipora gurung \| mahendrapool \| 3rd runner up \| miss talent \| None row 11 : 2014 \| rashmi adhikari \| goripatan \| None \| None \| winner ] Execute this SQL based on the above table: select max ( year )	2014
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 8 february 2011 \| stade georges pompidou, \| mali \| 1-0 \| 1-0 \| friendly row 2 : 2 \| 11 may 2011 \| stade felix houphouet- \| namibia \| 4-1 \| 5-1 \| friendly row 3 : 3 \| 5 june 2011 \| stade de l'amitie \| benin \| 0-1 \| 2-6 \| 2012 africa cup of nations qualification - group row 4 : 4 \| 10 august 2011 \| stade de geneve, geneve, \| israel \| 1-0 \| 4-3 \| friendly row 5 : 5 \| 3 september 2011 \| stade amahoro, ki \| rwanda \| 0-4 \| 0-5 \| 2012 africa cup of nations qualification - group row 6 : 6 \| 14 november 2012 \| linzer stadion, \| austria \| 0-1 \| 0-3 \| friendly row 7 : 7 \| 14 january 2013 \| al nahyan stadium, abu \| egypt \| 4-2 \| 4-2 \| friendly row 8 : 8 \| 26 january 2013 \| royal bafokeng stadium, rustenburg \| tunisia \| 3-0 \| 3-0 \| 2013 africa cup of nations ] Execute this SQL based on the above table: select competition where id > ( select id where # = 3 ) order by # limit 1	friendly
[ header: season \| club \| country \| competition \| apps. \| goals row 1 : 1997/98 \| rapide club lebbeke \| belgium \| fourth division \| None \| None row 2 : 1998/99 \| ksc eendracht a \| belgium \| jupiler league \| 30 \| 7 row 3 : 1999/00 \| ksc eendracht a \| belgium \| jupiler league \| 31 \| 7 row 4 : 2000/01 \| ksc eendracht a \| belgium \| jupiler league \| 30 \| 6 row 5 : 2001/02 \| omonia nicosia \| cyprus \| cypriot first division \| 22 \| 8 row 6 : 2002/03 \| fc denderleeuw \| belgium \| belgian second division \| 32 \| 23 row 7 : 2003/04 \| 1. fc saarbrucken \| germany \| regionalliga sud \| 33 \| 16 row 8 : 2004/05 \| 1. fc saarbrucken \| germany \| 2. bundesliga \| 14 \| 7 row 9 : 2005/06 \| 1. fc saarbrucken \| germany \| 2. bundesliga \| 10 \| 0 row 10 : 2005/06 \| s.v. zulte \| belgium \| jupiler league \| 14 \| 1 row 11 : 2006/07 \| fcv dender eh \| belgium \| belgian second division \| 33 \| 21 row 12 : 2007/08 \| mvv \| netherlands \| eerste divisie \| 33 \| 22 row 13 : 2008/09 \| mvv \| netherlands \| eerste divisie \| 32 \| 20 row 14 : total \| None \| None \| None \| 302 \| 132 ] Execute this SQL based on the above table: select country order by club - country desc limit 1	germany
[ header: model \| origin \| type \| versions \| in service \| notes row 1 : vought f-8 crusa \| united states \| air superiority fighter/interceptor aircraft \| f-8p \| 35 \| placed in open storage 1988-01-23 at bas row 2 : northrop f-5 freedom fighter \| united states \| fighter/bomber \| f-5a f-5b \| 37 \| retired. the 10 remaining f-5s, row 3 : north american f-86 sabre \| united states \| fighter/bomber \| f-86f f-86d \| 50 20 \| replaced by the northrop f-5a row 4 : north american p-51 mustang \| united states \| fighter \| p-51d \| 103 \| paf's 1950s fighter, replaced by row 5 : north american t-28 trojan \| united states \| trainer/light strike aircraft \| t-28a t-28d \| 20 24 \| replaced by ov-10 bronco row 6 : north american t-6 texan \| united states \| trainer aircraft \| None \| 38 \| None row 7 : beechcraft t-34 mentor \| united states \| trainer aircraft \| None \| 36 \| replaced by the sf-260 row 8 : lockheed t-33 shooting star \| united states \| trainer aircraft \| t-33a rt-33 \| 25 2 \| replaced by the s-211 row 9 : douglas ac-47 s \| united states \| close air support aircraft \| None \| 11 \| None row 10 : douglas c-47 skytrain \| united states \| military transport aircraft \| None \| None \| replaced by the c-130 row 11 : de havilland canada dhc \| canada \| military transport aircraft \| None \| None \| replaced by the c-130 row 12 : grumman hu-16 albatros \| united states \| military transport aircraft \| hu-16b \| 6 \| None row 13 : namc ys-11 \| japan \| vip transport \| None \| None \| None row 14 : stinson l-5 sentine \| united states \| liaison aircraft \| None \| None \| None row 15 : sikorsky s-62 \| united states japan \| multipurpose utility helicopter multipurpose utility helicopter vip \| s-62a s-62j \| 1 2 \| None row 16 : sikorsky h-34 \| united states \| sar helicopter \| None \| None \| None row 17 : sikorsky h-19 \| united states \| None \| None \| None \| None row 18 : bell 212 \| united states \| utility helicopter \| None \| 1 \| a presidential aircraft that crashed in bengue row 19 : aerospatiale sa 330 \| france \| presidential helicopter \| sa 330l \| 2 \| None ] Execute this SQL based on the above table: select count ( * ) where notes = 'replaced by the s-211'	1
[ header: date \| time \| opponent# \| site \| tv \| result \| attendance row 1 : september 4 \| 7:00 pm \| pacific \| jones stadium • lubbock, \| None \| w 55-7 \| 29164 row 2 : september 11 \| 1:00 pm \| at #9 nebraska \| memorial stadium • lincoln, \| None \| l 27-50 \| 75771 row 3 : september 18 \| 12:00 pm \| at georgia \| sanford stadium • athens, \| None \| l 11-17 \| 74511 row 4 : september 25 \| 12:00 pm \| at baylor \| floyd casey stadium • waco, \| raycom \| l 26-28 \| 32690 row 5 : october 2 \| 11:00 am \| #14 texas a&m \| jones stadium • lubbock, \| abc \| l 6-31 \| 50748 row 6 : october 9 \| 1:00 pm \| north carolina state \| jones stadium • lubbock, \| None \| l 34-36 \| 26943 row 7 : october 16 \| 7:00 pm \| rice \| jones stadium • lubbock, \| None \| w 45-16 \| 27812 row 8 : october 30 \| 12:00 pm \| at texas \| texas memorial stadium • austin \| raycom \| w 31-22 \| 63132 row 9 : november 6 \| 12:00 pm \| tcu \| jones stadium • lubbock, \| raycom \| w 49-21 \| 31922 row 10 : november 13 \| 2:00 pm \| at smu \| ownby stadium • university park, tx \| None \| w 41-24 \| 15714 row 11 : november 20 \| 7:00 pm \| vs. houston \| alamodome • san a \| None \| w 58-7 \| 28652 row 12 : december 31 \| 1:30 pm \| vs. #19 oklahom \| sun bowl stadium • el paso, \| cbs \| l 10-41 \| 43848 ] Execute this SQL based on the above table: select tv where tv != 'cbs'	raycom, abc, raycom, raycom
[ header: rd \| home team \| score \| away team \| result (w/d/l) \| attendance row 1 : 1 \| harlequins rl \| 28-47 \| wigan warriors \| l \| 8041 row 2 : 2 \| hull \| 6-24 \| harlequins rl \| w \| 13313 row 3 : 3 \| harlequins rl \| 34-18 \| wakefield trinity wildcats \| w \| 3176 row 4 : 4 \| castleford tigers \| 16-22 \| harlequins rl \| w \| 6268 row 5 : 5 \| harlequins rl \| 24-0 \| huddersfield giants \| w \| 3284 row 6 : 6 \| None \| None \| None \| None \| None row 7 : 7 \| None \| None \| None \| None \| None row 8 : ccc4 \| None \| None \| None \| None \| None row 9 : 8 \| None \| None \| None \| None \| None row 10 : 9 \| None \| None \| None \| None \| None row 11 : 10 \| None \| None \| None \| None \| None row 12 : 11 \| None \| None \| None \| None \| None row 13 : 12 \| None \| None \| None \| None \| None row 14 : 13 (a) \| None \| None \| None \| None \| None row 15 : 14 \| None \| None \| None \| None \| None row 16 : 15 \| None \| None \| None \| None \| None row 17 : 16 \| None \| None \| None \| None \| None row 18 : 17 \| None \| None \| None \| None \| None row 19 : 18 \| None \| None \| None \| None \| None row 20 : 19 \| None \| None \| None \| None \| None row 21 : 20 \| None \| None \| None \| None \| None row 22 : 21 \| None \| None \| None \| None \| None row 23 : 22 \| None \| None \| None \| None \| None row 24 : 23 \| None \| None \| None \| None \| None row 25 : 24 \| None \| None \| None \| None \| None row 26 : 25 \| None \| None \| None \| None \| None row 27 : 26 \| None \| None \| None \| None \| None row 28 : 27 \| None \| None \| None \| None \| None row 29 : esl po1 \| None \| None \| None \| None \| None row 30 : esl po2 \| None \| None \| None \| None \| None row 31 : esl po3 \| None \| None \| None \| None \| None row 32 : esl gf \| None \| None \| None \| None \| None ] Execute this SQL based on the above table: select rd order by result (w/d/l) - away team limit 1	6.0
[ header: battle \| location \| date(s) \| engagement remarks \| victor row 1 : battle of gonzales \| gonzales \| october 2, 1835 \| this battle resulted in the first casualties \| t row 2 : battle of goliad \| goliad \| october 10, 1835 \| texians captured presidio la bah \| t row 3 : battle of concepcion \| san antonio de be \| october 28, 1835 \| in the last offensive ordered by general martin \| t row 4 : grass fight \| san antonio de be \| november 26, 1835 \| texans attack a large mexi \| t row 5 : battle of san patricio \| san patricio \| february 27, 1836 \| this was the first battle of the goli \| m row 6 : battle of the alamo \| san antonio de be \| february 23 - march 6, 1836 \| mexican president antonio \| m row 7 : battle of refugio \| refugio \| march 14, 1836 \| third battle of the goliad campaign \| m ] Execute this SQL based on the above table: select count ( * ) where victor = 't'	4
[ header: selected latin american countries \| internl. tourism arrivals 2010 (x 1000) \| internl. tourism receipts. 2010 (usd (x1000) \| average receipt per visitor 2009 (usd/turista) \| tourist arrivals per 1000 inhab (estimated) 2007 \| receipts per capita 2005 usd \| revenues as % exports of goods and services 2003 \| tourism income % gdp 2003 \| % direct and indirect employment in tourism 2005 \| world ranking tourism competitiv. ttci 2011 \| 2011 ttci index row 1 : argentina \| 5288 \| 4930 \| 932 \| 115 \| 57 \| 7.4 \| 1.8 \| 9.1 \| 60 \| 4.2 row 2 : brazil \| 5161 \| 5919 \| 1147 \| 26 \| 18 \| 3.2 \| 0.5 \| 7 \| 52 \| 4.36 row 3 : chile \| 2766 \| 1636 \| 591 \| 151 \| 73 \| 5.3 \| 1.9 \| 6.8 \| 57 \| 4.27 row 4 : costa rica \| 2100 \| 2111 \| 1005 \| 442 \| 343 \| 17.5 \| 8.1 \| 13.3 \| 44 \| 4.43 row 5 : cuba \| 2507 \| None \| None \| 188 \| 169 \| None \| None \| None \| None \| None row 6 : dominican republic \| 4125 \| 4240 \| 1028 \| 408 \| 353 \| 36.2 \| 18.8 \| 19.8 \| 72 \| 3.99 row 7 : mexico \| 22395 \| 11872 \| 530 \| 201 \| 103 \| 5.7 \| 1.6 \| 14.2 \| 43 \| 4.43 row 8 : panama \| 1317 \| 1676 \| 1273 \| 330 \| 211 \| 10.6 \| 6.3 \| 12.9 \| 56 \| 4.3 row 9 : peru \| 2299 \| 2274 \| 989 \| 65 \| 41 \| 9 \| 1.6 \| 7.6 \| 69 \| 4.04 row 10 : uruguay \| 2352 \| 1496 \| 636 \| 525 \| 145 \| 14.2 \| 3.6 \| 10.7 \| 58 \| 4.24 ] Execute this SQL based on the above table: select selected latin american countries where receipts per capita 2005 usd > ( select receipts per capita 2005 usd where selected latin american countries = 'peru' ) order by receipts per capita 2005 usd limit 1	argentina
[ header: year \| title \| role \| network \| notes row 1 : 2000 \| youth y2k 青春@y2 \| cheng shasha \| None \| None row 2 : 2001 \| the monkey king: quest for the sutra \| purple orchid \| tvb \| None row 3 : 2001 \| 藍寶石的夜空 \| shek po-yi \| tvb \| eason chan's music video row 4 : 2002 \| 一twins零一夜 \| ah sa \| tvb \| music video row 5 : 2003 \| triumph in the skies 衝上雲霄 \| charlene \| tvb \| cameo row 6 : 2003 \| all about boy'z 一起喝采 \| langlang princess \| now.com.hk \| appearance in episode 2 row 7 : 2003 \| 2半3更之困車立 \| ah sa \| now.com.hk \| None row 8 : 2003 \| 愛在陽光下 \| aids patient \| None \| music video produced to support the global anti-aid row 9 : 2004 \| kung fu soccer 功夫足球 \| None \| tvb \| guest star row 10 : 2004 \| sunshine heartbeat 赤沙印記@四葉草.2 \| ah sa \| tvb \| guest star row 11 : 2004 \| 家有寶貝 \| ah sa \| None \| guest star row 12 : 2007 \| colours of love 森之愛情 \| wai-fong / ching- \| tvb \| None row 13 : 2007 \| life off stage \| None \| None \| None row 14 : 2010 \| calling for love! 呼叫大明星 \| chen dexin \| cts \| None row 15 : 2011 \| the legend of swordman 劍俠情緣 \| tang xiaowan / n \| None \| None row 16 : 2012 \| happy marshal 歡樂元帥 \| little dragon girl (xiao long nu) \| None \| None ] Execute this SQL based on the above table: select count ( title ) where role = 'None'	0
[ header: rank \| rider \| team \| points row 1 : 1 \| robbie mcewen (aus \| davitamon-lotto \| 288 row 2 : 2 \| erik zabel (ger) \| team milram \| 199 row 3 : 3 \| thor hushovd (nor \| credit agricole \| 195 row 4 : 4 \| bernhard eisel ( \| francaise des jeux \| 176 row 5 : 5 \| luca paolini (ita) \| liquigas \| 174 row 6 : 6 \| inaki isasi (esp \| euskaltel-euskad \| 130 row 7 : 7 \| francisco ventoso (es \| saunier duval-prodir \| 128 row 8 : 8 \| cristian moreni (ita \| cofidis \| 116 row 9 : 9 \| jimmy casper (fra \| cofidis \| 98 row 10 : 10 \| oscar pereiro (esp \| caisse d'epargne-illes \| 88 ] Execute this SQL based on the above table: select team where rider = 'erik zabel (ger)'	team milram
[ header: rank \| lane \| name \| nationality \| time \| notes row 1 : None \| 4 \| sophie pascoe \| new zealand \| 2:25.65 \| wr row 2 : None \| 5 \| summer ashley mortimer \| canada \| 2:32.08 \| None row 3 : None \| 3 \| zhang meng \| china \| 2:33.95 \| as row 4 : 4 \| 6 \| katherine downie \| australia \| 2:34.64 \| None row 5 : 5 \| 2 \| nina ryabova \| russia \| 2:35.65 \| None row 6 : 6 \| 8 \| aurelie rivard \| canada \| 2:37.70 \| None row 7 : 7 \| 7 \| harriet lee \| great britain \| 2:39.42 \| None row 8 : 8 \| 1 \| gemma almond \| great britain \| 2:42.16 \| None ] Execute this SQL based on the above table: select name where rank = ( select rank where name = 'harriet lee' ) - 1	aurelie rivard
[ header: year \| title \| role \| notes row 1 : 1941 \| the maltese falcon \| kasper gutman \| nominated - academy award for best supporting row 2 : 1941 \| they died with their boots on \| lt. gen. winfield \| None row 3 : 1942 \| across the pacific \| dr. lorenz \| None row 4 : 1942 \| casablanca \| signor ferrari \| None row 5 : 1943 \| background to danger \| col. robinson \| None row 6 : 1944 \| passage to marseille \| major duval \| None row 7 : 1944 \| between two worlds \| rev. tim thompson \| None row 8 : 1944 \| the mask of dimitrios \| mr. peters \| None row 9 : 1944 \| the conspirators \| ricardo quintanilla \| None row 10 : 1944 \| hollywood canteen \| himself \| None row 11 : 1945 \| pillow to post \| col. michael otley \| None row 12 : 1945 \| conflict \| dr. mark hamilton \| None row 13 : 1945 \| christmas in connecticut \| alexander yardley \| None row 14 : 1946 \| three strangers \| jerome k. arbutny \| None row 15 : 1946 \| devotion \| william makepeace thacke \| None row 16 : 1946 \| the verdict \| supt. george e \| None row 17 : 1947 \| that way with women \| james p. alden \| None row 18 : 1947 \| the hucksters \| evan llewellyn \| None row 19 : 1948 \| the velvet touch \| capt. danbury \| None row 20 : 1948 \| ruthless \| buck mansfield \| None row 21 : 1948 \| the woman in white \| count alessandro fosco \| None row 22 : 1949 \| flamingo road \| sheriff titus semple \| None row 23 : 1949 \| malaya \| the dutchman \| None ] Execute this SQL based on the above table: select title order by year asc limit 1	the maltese falcon
[ header: country \| gdp (usd bln, 2012) \| gdp (usd bln, 2017) \| gdp (usd ppp bln, 2012) \| gdp (usd ppp bln, 2017) \| per capita (usd, 2012) \| per capita (usd, 2017) \| per capita (usd ppp, 2012) \| per capita (usd ppp, 2017) row 1 : albania \| 12.39 \| 14.75 \| 25.86 \| 31.55 \| 3,821.09 \| 4,435.73 \| 7,975.86 \| 9,489.11 row 2 : azerbaijan \| 71.04 \| 109.95 \| 98.24 \| 123.35 \| 7,726.65 \| 11,491.29 \| 10,684.95 \| 12,891.89 row 3 : bangladesh \| 118.69 \| 177.66 \| 305.51 \| 462.42 \| 791.09 \| 1,122.90 \| 2,036.23 \| 2,922.78 row 4 : brunei darussalam \| 16.85 \| 18.15 \| 21.94 \| 28.31 \| 38,801.27 \| 37,516.64 \| 50,526.35 \| 58,522.83 row 5 : cote d'ivoire \| 24.27 \| 37.03 \| 39.64 \| 61.66 \| 1,038.74 \| 1,366.89 \| 1,696.15 \| 2,276.02 row 6 : egypt \| 255.00 \| 339.33 \| 537.76 \| 756.42 \| 3,109.47 \| 3,729.36 \| 6,557.38 \| 8,313.47 row 7 : gabon \| 16.80 \| 18.00 \| 26.71 \| 32.68 \| 10,908.38 \| 10,881.51 \| 17,338.98 \| 19,762.74 row 8 : indonesia \| 894.85 \| 1,842.78 \| 1,211.96 \| 1,814.58 \| 3,660.42 \| 7,022.67 \| 4,957.55 \| 6,915.24 row 9 : iran \| 483.78 \| 671.01 \| 1,006.54 \| 1,173.48 \| 6,355.74 \| 8,269.55 \| 13,103.90 \| 14,462.05 row 10 : jordan \| 31.35 \| 46.33 \| 38.67 \| 51.61 \| 4,901.28 \| 6,464.77 \| 6,044.40 \| 7,201.71 row 11 : kuwait \| 174.63 \| 193.10 \| 165.94 \| 212.73 \| 46,142.29 \| 44,467.96 \| 43,846.72 \| 48,990.11 row 12 : lebanon \| 41.77 \| 56.25 \| 63.69 \| 82.99 \| 10,416.17 \| 13,149.68 \| 15,884.07 \| 19,401.42 row 13 : libya \| 85.11 \| 117.76 \| 87.91 \| 145.08 \| 12,878.85 \| 16,141.08 \| 13,303.20 \| 19,886.33 row 14 : morocco \| 97.17 \| 140.01 \| 170.95 \| 242.78 \| 2,987.92 \| 4,099.70 \| 5,256.55 \| 7,109.34 row 15 : mozambique \| 14.64 \| 23.76 \| 26.22 \| 41.71 \| 652.00 \| 958.25 \| 1,167.30 \| 1,682.38 row 16 : nigeria \| 272.55 \| 388.42 \| 450.54 \| 676.25 \| 1,654.31 \| 2,058.57 \| 2,734.63 \| 3,584.02 row 17 : pakistan \| 230.53 \| 274.82 \| 514.56 \| 662.44 \| 1,288.50 \| 1,391.71 \| 2,876.08 \| 3,354.68 row 18 : qatar \| 184.57 \| 237.85 \| 188.96 \| 274.46 \| 100,377.54 \| 106,320.28 \| 102,768.69 \| 122,684.13 ] Execute this SQL based on the above table: select count ( country ) where country = '123.35'	0
[ header: place \| player \| country \| score \| to par row 1 : t1 \| ed sneed \| united states \| 68-67=135 \| -9 row 2 : t1 \| craig stadler \| united states \| 69-66=135 \| -9 row 3 : t3 \| raymond floyd \| united states \| 70-68=138 \| -6 row 4 : t3 \| leonard thompson \| united states \| 68-70=138 \| -6 row 5 : t5 \| miller barber \| united states \| 75-64=139 \| -5 row 6 : t5 \| tom watson \| united states \| 68-71=139 \| -5 row 7 : t5 \| joe inman \| united states \| 68-71=139 \| -5 row 8 : t8 \| seve ballesteros \| spain \| 72-68=140 \| -4 row 9 : t8 \| jack nicklaus \| united states \| 69-71=140 \| -4 row 10 : t8 \| lou graham \| united states \| 69-71=140 \| -4 ] Execute this SQL based on the above table: select to par group by to par order by count ( * ) desc limit 1	-4
[ header: kilometers \| name \| location \| intersecting routes row 1 : 0 \| mahanayim junction \| mahanayim, near hatz \| highway 90 (israel) row 2 : 7 \| gadot junction \| gadot \| route 918 row 3 : 12 \| customs house junction \| customs office \| route 888 row 4 : 15 \| nashot junction \| northwest of katzrin \| route 9088 row 5 : 21 \| None \| golan heights \| petroleum road row 6 : 22 \| hashiryon junction \| golan heights \| route 978 row 7 : 23 \| shipon junction \| shipon (spelt) mountain \| route 9099 row 8 : 27 \| avital junction \| mount avital \| route 9881 row 9 : 28 \| zivan junction \| ein zivan \| highway 98 (israel) ] Execute this SQL based on the above table: select count ( location )	9
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| united states (usa) \| 25 \| 16 \| 7 \| 48 row 2 : 2 \| canada (can) \| 5 \| 4 \| 7 \| 16 row 3 : 3 \| jamaica (jam) \| 4 \| 3 \| 4 \| 11 row 4 : 4 \| cuba (cub) \| 3 \| 8 \| 4 \| 15 row 5 : 5 \| mexico (mex) \| 0 \| 3 \| 3 \| 6 row 6 : 6 \| brazil (bra) \| 0 \| 2 \| 1 \| 3 row 7 : 7 \| puerto rico (pur) \| 0 \| 1 \| 1 \| 2 row 8 : 8 \| colombia (col) \| 0 \| 0 \| 3 \| 3 row 9 : 9 \| peru (per) \| 0 \| 0 \| 2 \| 2 row 10 : 9 \| trinidad and tobago (tri) \| 0 \| 0 \| 2 \| 2 row 11 : 11 \| chile (chi) \| 0 \| 0 \| 1 \| 1 row 12 : 11 \| uruguay (uru) \| 0 \| 0 \| 1 \| 1 row 13 : 11 \| venezuela (ven) \| 0 \| 0 \| 1 \| 1 ] Execute this SQL based on the above table: select nation where nation != 'chile (chi)' order by silver desc limit 1	united states (usa)
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 30 may 1928 \| olympic stadium (amsterdam \| mexico \| 1-0 \| 7-1 \| 1928 summer olympics row 2 : 2 \| 30 may 1928 \| olympic stadium (amsterdam \| mexico \| 3-0 \| 7-1 \| 1928 summer olympics row 3 : 3 \| 22 june 1930 \| bologna, italy \| italy \| 1-0 \| 3-2 \| friendly row 4 : 4 \| 22 june 1930 \| bologna, italy \| italy \| 3-1 \| 3-2 \| friendly row 5 : 5 \| 13 december 1931 \| dublin, ireland \| ireland \| 3-0 \| 5-0 \| friendly row 6 : 6 \| 13 december 1931 \| dublin, ireland \| ireland \| 5-0 \| 5-0 \| friendly row 7 : 7 \| 24 april 1932 \| oviedo, spain \| yugoslavia \| 1-0 \| 2-1 \| friendly row 8 : 8 \| 21 june 1933 \| madrid, spain \| bulgaria \| 8-0 \| 13-0 \| friendly row 9 : 9 \| 21 june 1933 \| madrid, spain \| bulgaria \| 12-0 \| 13-0 \| friendly row 10 : 10 \| 11 march 1934 \| madrid, spain \| portugal \| 4-0 \| 9-0 \| 1934 world cup qualifier row 11 : 11 \| 11 march 1934 \| madrid, spain \| portugal \| 6-0 \| 9-0 \| 1934 world cup qualifier row 12 : 12 \| 21 june 1934 \| firenze, italy \| italy \| 1-0 \| 1-1 \| 1934 fifa world cup row 13 : 13 \| 24 january 1935 \| madrid, spain \| bulgaria \| 1-0 \| 2-0 \| friendly row 14 : 14 \| 19 january 1936 \| madrid, spain \| austria \| 2-4 \| 4-5 \| friendly row 15 : 15 \| 19 january 1936 \| madrid, spain \| austria \| 4-4 \| 4-5 \| friendly row 16 : 16 \| 23 february 1936 \| barcelona, spain \| germany \| 1-2 \| 1-2 \| friendly ] Execute this SQL based on the above table: select count ( result ) where venue = 'madrid, spain'	7
[ header: season \| tier \| division \| place row 1 : 2002/03 \| 8 \| 3a aficio \| 1st row 2 : 2003/04 \| 6 \| 1a aficio \| 1st row 3 : 2004/05 \| 5 \| preferente \| 13th row 4 : 2005/06 \| 5 \| preferente \| 4th row 5 : 2006/07 \| 5 \| preferente \| 8th row 6 : 2007/08 \| 5 \| preferente \| 8th row 7 : 2008/09 \| 5 \| preferente \| 3rd row 8 : 2009/10 \| 5 \| preferente \| 2nd row 9 : 2010/11 \| 4 \| 3a \| 6th row 10 : 2011/12 \| 4 \| 3a \| 6th row 11 : 2012/13 \| 4 \| 3a \| 11th ] Execute this SQL based on the above table: select division order by id desc limit 1	3a

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inputs stringlengths 291 3.71k	targets stringlengths 1 2.65k
[ header: constituency number \| name \| reserved for (sc/st/none) \| district \| number of electorates (2009) row 1 : 43 \| tikamgarh \| none \| tikamgarh \| 153339 row 2 : 44 \| jatara \| sc \| tikamgarh \| 145555 row 3 : 45 \| prithvipur \| none \| tikamgarh \| 139110 row 4 : 46 \| niwari \| none \| tikamgarh \| 141265 row 5 : 47 \| khargapur \| none \| tikamgarh \| 161546 row 6 : 48 \| maharajpur \| none \| chhatarpur \| 162460 row 7 : 51 \| chhatarpur \| none \| chhatarpur \| 152605 row 8 : 52 \| bijawar \| none \| chhatarpur \| 151159 row 9 : total \| total \| total \| total \| 1207.039 ] Execute this SQL based on the above table: select reserved for (sc/st/none) order by number of electorates (2009) asc limit 1	total
[ header: date \| round \| opponent \| venue \| result \| attendance \| scorers row 1 : 16 september 1992 \| r1 \| lyngby \| h \| 2-0 \| 40036 \| hateley, huistra row 2 : 30 september 1992 \| r1 \| lyngby \| a \| 1-0 \| 4273 \| durrant row 3 : 21 october 1992 \| r2 \| leeds united \| h \| 2-1 \| 43251 \| mccoist, lukic row 4 : 4 november 1992 \| r2 \| leeds united \| a \| 2-1 \| 25118 \| hateley, mccoist row 5 : 25 november 1992 \| gs \| marseille \| h \| 2-2 \| 41624 \| mcswegan, hateley row 6 : 9 december 1992 \| gs \| cska moscow \| a \| 1-0 \| 9000 \| ferguson row 7 : 3 march 1993 \| gs \| club brugge \| a \| 1-1 \| 19000 \| huistra row 8 : 17 march 1993 \| gs \| club brugge \| h \| 2-1 \| 42731 \| durrant, nisbet row 9 : 7 april 1993 \| gs \| marseille \| a \| 1-1 \| 46000 \| durrant row 10 : 21 april 1993 \| gs \| cska moscow \| h \| 0-0 \| 43142 \| None ] Execute this SQL based on the above table: select ( select attendance where venue = 'a' ) - ( select attendance where venue = 'a' )	0.0
[ header: year \| date \| winner \| result \| loser \| attendance \| location row 1 : 1980 \| oct 19 \| chicago bears \| 24-7 \| detroit lions \| None \| chicago, illinois row 2 : 1980 \| nov 27 \| chicago bears \| 23-17 (ot) \| detroit lions \| 58508 \| pontiac, michigan row 3 : 1981 \| oct 19 \| detroit lions \| 48-17 \| chicago bears \| 75397 \| pontiac, michigan row 4 : 1981 \| nov 22 \| detroit lions \| 23-7 \| chicago bears \| 71273 \| chicago, illinois row 5 : 1982 \| sept 12 \| detroit lions \| 17-10 \| chicago bears \| 50082 \| pontiac, michigan row 6 : 1982 \| nov 21 \| chicago bears \| 20-17 \| detroit lions \| 46783 \| chicago, illinois row 7 : 1983 \| oct 16 \| detroit lions \| 31-17 \| chicago bears \| 66709 \| pontiac, michigan row 8 : 1983 \| oct 30 \| detroit lions \| 38-17 \| chicago bears \| 58764 \| chicago, illinois row 9 : 1984 \| nov 18 \| chicago bears \| 16-14 \| detroit lions \| 54911 \| chicago, illinois row 10 : 1984 \| dec 16 \| chicago bears \| 30-13 \| detroit lions \| 53252 \| pontiac, michigan row 11 : 1985 \| nov 10 \| chicago bears \| 24-3 \| detroit lions \| 53467 \| chicago, illinois row 12 : 1985 \| dec 22 \| chicago bears \| 37-17 \| detroit lions \| 74042 \| pontiac, michigan row 13 : 1986 \| oct 26 \| chicago bears \| 13-7 \| detroit lions \| 62064 \| chicago, illinois row 14 : 1986 \| dec 15 \| chicago bears \| 16-13 \| detroit lions \| 75602 \| pontiac, michigan row 15 : 1987 \| nov 22 \| chicago bears \| 30-10 \| detroit lions \| 63357 \| chicago, illinois row 16 : 1988 \| oct 9 \| chicago bears \| 24-7 \| detroit lions \| 64526 \| pontiac, michigan row 17 : 1988 \| dec 11 \| chicago bears \| 13-12 \| detroit lions \| 55010 \| chicago, illinois row 18 : 1989 \| sept 24 \| chicago bears \| 47-27 \| detroit lions \| 71418 \| pontiac, michigan row 19 : 1989 \| dec 10 \| detroit lions \| 27-17 \| chicago bears \| 52650 \| chicago, illinois ] Execute this SQL based on the above table: select ( select location where date = 'dec 11' ) - ( select result where date = 'dec 11' )	-13
[ header: frequency band \| band number \| radio interface \| generation \| status \| notes row 1 : 850 mhz \| 5 \| gsm/gprs/ \| 2g \| roaming \| not operated by t-mobile, except for row 2 : 850 mhz clr \| 5 \| umts/hspa \| 3g \| roaming \| not operated by t-mobile. after the row 3 : 1900 mhz \| 2 \| gsm/gprs/ \| 2g \| in service \| most of this spectrum will be upgraded to 4g row 4 : 1700/2100 mhz a \| 4 \| umts/dc-hspa 42 \| 4g \| in service \| has marketed 3g hspa+ as row 5 : 1900 mhz pcs \| 2 \| umts/hspa+ 21mbit \| 4g \| in service/building out \| hspa+ 21mbps on the 1900 row 6 : 1700/2100 mhz a \| 4 \| lte \| 4g \| in service/building out \| covers 210 million pops as of march, row 7 : 700 mhz block a \| 12 \| lte \| 4g \| rollout starts by q4 2014 \| spectrum acquired from verizon wireless row 8 : 1900 mhz pcs \| 2 \| lte \| 4g \| rolling out in 2014 \| None ] Execute this SQL based on the above table: select ( select band number where status = 'in service/building out' ) - ( select band number where status = 'rollout starts by q4 2014' )	-10.0
[ header: \| average population (x 1000) \| live births \| deaths \| natural change \| crude birth rate (per 1000) \| crude death rate (per 1000) \| natural change (per 1000) row 1 : 1970 \| 31 \| 683 \| 356 \| 327 \| 22.0 \| 11.5 \| 10.5 row 2 : 1975 \| 33 \| 706 \| 374 \| 332 \| 21.4 \| 11.3 \| 10.1 row 3 : 1980 \| 35 \| 701 \| 351 \| 350 \| 20.0 \| 10.0 \| 10.0 row 4 : 1985 \| 37 \| 793 \| 289 \| 504 \| 21.4 \| 7.8 \| 13.6 row 5 : 1990 \| 38 \| 635 \| 342 \| 293 \| 16.9 \| 9.1 \| 7.8 row 6 : 1991 \| 38 \| 623 \| 350 \| 273 \| 16.6 \| 9.3 \| 7.3 row 7 : 1992 \| 37 \| 611 \| 369 \| 242 \| 16.7 \| 10.1 \| 6.6 row 8 : 1993 \| 34 \| 459 \| 433 \| 26 \| 13.3 \| 12.6 \| 0.8 row 9 : 1994 \| 32 \| 433 \| 460 \| - 27 \| 13.5 \| 14.3 \| -0.8 row 10 : 1995 \| 31 \| 382 \| 481 \| - 99 \| 12.5 \| 15.8 \| -3.2 row 11 : 1996 \| 29 \| 374 \| 436 \| - 62 \| 12.7 \| 14.8 \| -2.1 row 12 : 1997 \| 29 \| 373 \| 400 \| - 27 \| 13.0 \| 13.9 \| -0.9 row 13 : 1998 \| 28 \| 396 \| 355 \| 41 \| 14.2 \| 12.7 \| 1.5 row 14 : 1999 \| 27 \| 319 \| 397 \| - 78 \| 11.8 \| 14.7 \| -2.9 row 15 : 2000 \| 26 \| 289 \| 391 \| - 102 \| 11.0 \| 14.9 \| -3.9 row 16 : 2001 \| 26 \| 298 \| 390 \| - 92 \| 11.6 \| 15.1 \| -3.6 row 17 : 2002 \| 25 \| 310 \| 376 \| - 66 \| 12.3 \| 14.9 \| -2.6 row 18 : 2003 \| 24 \| 268 \| 462 \| - 194 \| 11.0 \| 19.0 \| -8.0 row 19 : 2004 \| 24 \| 339 \| 463 \| - 124 \| 14.4 \| 19.7 \| -5.3 row 20 : 2005 \| 23 \| 294 \| 466 \| - 172 \| 12.9 \| 20.5 \| -7.6 row 21 : 2006 \| 22 \| 270 \| 366 \| - 96 \| 12.3 \| 16.7 \| -4.4 row 22 : 2007 \| 21 \| 280 \| 351 \| - 71 \| 13.2 \| 16.5 \| -3.3 row 23 : 2008 \| 20 \| 267 \| 368 \| - 101 \| 13.0 \| 18.0 \| -4.9 row 24 : 2009 \| 20 \| 268 \| 365 \| - 97 \| 13.6 \| 18.5 \| -4.9 row 25 : 2010 \| 19 \| 233 \| 397 \| - 164 \| 12.3 \| 20.9 \| -8.7 ] Execute this SQL based on the above table: select ( select crude death rate (per 1000) where id = 1 ) >= '7.8'	1
[ header: team name \| leagues \| base \| year started \| year ended \| notable riders row 1 : aldershot shots \| national league division three \| tongham greyhound stadium \| 1950 \| 1960 \| None row 2 : bristol bulldogs \| national league, provincial league \| knowle stadium, bristol \| pre-1939 \| 1954 \| phil crump row 3 : cradley heath heathens \| british league \| dudley wood stadium \| 1947 \| 1996 \| listed in article row 4 : crayford kestrels \| british league division two/national league \| crayford stadium, crayford \| 1968 \| 1983 \| None row 5 : fleetwood flyers \| speedway national league division two \| highbury avenue sports stadium, fleetwood \| 1948 \| 1952 \| None row 6 : hackney wick wolves \| speedway national league \| hackney wick stadium \| 1935 \| 1939 \| listed in article row 7 : hackney hawks \| british league \| hackney wick stadium \| 1963 \| 1983 \| listed in article row 8 : hastings saxons \| speedway national league division three \| pilot field, hastings \| 1948 \| 1949 \| None row 9 : hull vikings \| elite league, premier league \| craven park \| 1995 \| 2005 \| listed in article row 10 : leicester stadium \| speedway northern league, speedway southern league \| the stadium, blackbird road, leicester \| 1929 \| 1931 \| cyril "squib" row 11 : leicester hounds \| speedway national league division two \| the stadium, blackbird road, leicester \| 1937 \| 1937 \| wilf plant, lloy row 12 : liverpool chads \| speedway national league division three, speedway national \| stanley stadium, liverpool \| late 1920s \| 1960 \| peter craven row 13 : middlesbrough bears \| northern league, speedway national league \| cleveland park \| 1939 \| 1996 \| listed in article row 14 : milton keynes knights \| None \| groveway greyhound stadium, milton key \| 1978 \| 1992 \| None row 15 : new cross rangers \| speedway national league, speedway provincial league \| new cross stadium \| 1937 \| 1963 \| tom farndon row 16 : newport wasps \| provincial league, british league, national \| hayley stadium \| 1964 (closed 1977, reopened \| 2011 \| None row 17 : nottingham \| southern league, national league \| olympic gardens/white city stadium \| 1930 \| 1938 \| None row 18 : paisley lions \| speedway national league \| love street \| 1975 \| 1976 \| sid and mick sheldrick, row 19 : rayleigh rockets \| speedway provincial league, metropolitan league \| rayleigh weir stadium, ray \| 1949 \| 1973 \| None row 20 : southampton saints \| speedway national league \| banister court stadium, southampton \| 1928 \| 1963 \| None row 21 : sunderland stars \| speedway national league \| sunderland greyhound stadium, east boldon \| 1971 \| 1974 \| None row 22 : trelawny pitbulls \| conference league \| clay country moto parc, st aus \| 2003 \| 2003 \| None row 23 : wembley lions \| southern league, speedway national league \| empire stadium \| 1929 \| 1971 \| listed in article row 24 : west ham hammers \| speedway british league, speedway \| west ham stadium \| 1930 \| 1971 \| listed in article row 25 : white city rebels \| speedway british league \| white city stadium \| 1976 \| 1978 \| gordon kennett, steve row 26 : wimbledon dons \| speedway national league \| wimbledon stadium \| 1929 \| 2005 \| listed in article ] Execute this SQL based on the above table: select leagues where id = ( select id where leagues = 'british league' ) + 1	british league division two/national league
[ header: year \| champion \| score \| runner-up \| total prize money \| champion \| runner-up row 1 : 2001 \| ravi sandiran \| \| thanawat gaweenuntavong \| None \| None \| None row 2 : 2005 \| tengku hadzali shah \| \| mohd nazib khalit \| None \| None \| None row 3 : 2006 \| selbaraju subramaniam \| \| tengku hadzali shah \| None \| None \| None row 4 : 2007 \| s raj \| \| keshminder singh \| sgd 3,600 \| sgd 1,600 \| sgd 800 row 5 : 2008 \| robert calupit \| \| shah azhar \| sgd 3,600 \| sgd 1,600 \| sgd 800 row 6 : 2009 \| ronald l briones \| \| tengku hadzali shah \| sgd 2,400 \| sgd 1,000 \| sgd 500 row 7 : 2010 \| None \| \| None \| None \| sgd 1,000 \| sgd 500 ] Execute this SQL based on the above table: select abs ( runner-up - runner-up ) where champion = 's raj'	0
[ header: month \| song \| artist \| aggregate points \| total downloads \| year-end chart row 1 : january \| "lovey-dovey" \| t-ara \| 142,691,767 \| 1,903,727 \| 7 row 2 : february \| "blue" \| big bang \| 102,380,663 \| 1,351,429 \| 10 row 3 : march \| "fantastic baby" \| big bang \| 105,296,671 \| 1,229,518 \| 5 row 4 : april \| "cherry blossom ending" \| busker busker \| 169,546,447 \| 1,570,146 \| 2 row 5 : may \| "twinkle" \| girls' generation-tts \| 119,415,981 \| 997,122 \| 11 row 6 : june \| "like this" \| wonder girls \| 138,592,996 \| 1,444,339 \| 18 row 7 : july \| "i love you" \| 2ne1 \| 151,627,608 \| 1,522,263 \| 6 row 8 : august \| "gangnam style" \| psy \| 150,855,485 \| 1,280,050 \| 1 row 9 : september \| "all for you" \| jung eunji & seo \| 113,858,049 \| 1,037,911 \| 8 row 10 : october \| "bloom" \| gain \| 115,479,048 \| 1,182,829 \| 42 row 11 : november \| "1, 2, 3, 4" \| lee hi \| 132,391,547 \| 1,210,297 \| 23 row 12 : december \| "return" \| lee seung gi \| 110,364,099 \| 896,196 \| 37 ] Execute this SQL based on the above table: select artist where artist in ( 'big bang' , 'wonder girls' ) order by total downloads asc limit 1	big bang
[ header: club \| nickname \| no. of premierships \| premiership years \| moved to row 1 : calleen (previously hiawath \| blues \| 0 \| none \| disbanded in 1932 row 2 : condobolin-milby \| kangaroos \| 3 \| 1966-67, 1990 \| disbanded in 2003 row 3 : four corners \| redlegs \| 13 \| 1928-29-30-31-32, 1937, 1949 \| disbanded in 1994 row 4 : kikoira \| None \| 2 \| 1940-41 \| disbanded row 5 : lake cargelligo \| swans \| 0 \| none \| amalgamated with lake cargelligo tig row 6 : parkes \| panthers \| 0 \| none \| central west afl in 2008 row 7 : tallimba \| hawks \| 0 \| none \| disbanded in 1987 row 8 : west milby \| None \| 1 \| 1936 \| disbanded row 9 : young \| saints \| 0 \| none \| central west afl ] Execute this SQL based on the above table: select moved to order by premiership years desc limit 1	disbanded in 1932
[ header: election year \| # of constituency votes \| % of constituency votes \| +/- \| # of party list votes \| % of party list votes \| +/- \| # of overall seats won row 1 : 1965 \| 587216 \| 1.8 \| 1.8 \| 664193 \| 2 \| 2 \| 0 / 518 row 2 : 1969 \| 1189375 \| 3.6 \| 1.8 \| 1422010 \| 4.3 \| 2.3 \| 0 / 518 row 3 : 1972 \| 194389 \| 0.5 \| 3.1 \| 207465 \| 0.6 \| 3.7 \| 0 / 518 row 4 : 1976 \| 136.023 \| 0.4 \| 0.1 \| 122661 \| 0.3 \| 0.3 \| 0 / 518 row 5 : 1980 \| None \| None \| None \| 68096 \| 0.2 \| 0.1 \| 0 / 497 row 6 : 1983 \| 57112 \| 0.1 \| 0.3 \| 91095 \| 0.2 \| 0 \| 0 / 498 row 7 : 1987 \| 182880 \| 0.5 \| 0.4 \| 227054 \| 0.6 \| 0.4 \| 0 / 497 row 8 : 1990 \| 190105 \| 0.4 \| 0.1 \| 145776 \| 0.3 \| 0.3 \| 0 / 662 row 9 : 1998 \| 45043 \| 0.1 \| 0.3 \| 126571 \| 0.3 \| 0 \| 0 / 669 row 10 : 2002 \| 103209 \| 0.1 \| 0.1 \| 215232 \| 0.4 \| 0.1 \| 0 / 603 row 11 : 2005 \| 857.777 \| 1.8 \| 1.6 \| 748568 \| 1.6 \| 1.2 \| 0 / 614 row 12 : 2009 \| 768442 \| 1.8 \| 0 \| 635525 \| 1.5 \| 0.1 \| 0 / 620 row 13 : 2013 \| 634842 \| 1.5 \| 0.3 \| 560660 \| 1.3 \| 0.2 \| 0 / 630 ] Execute this SQL based on the above table: select # of overall seats won order by # of overall seats won - # of overall seats won desc limit 1	0 / 518
[ header: outcome \| no. \| date \| tournament \| surface \| opponent in the final \| score row 1 : runner-up \| 1 \| 2 september 2001 \| mostar \| clay \| adriana basaric \| 4-6, 3-6 row 2 : winner \| 1 \| 27 january 2002 \| courmayeur \| hard \| stefanie weis \| 4-6, 7-6(7-3), row 3 : winner \| 2 \| 17 february 2002 \| bergamo \| hard \| rita degli-esposti \| 6-1, 6-2 row 4 : runner-up \| 2 \| 31 march 2002 \| rome - parioli \| clay \| dinara safina \| 7-6(7-3), 2-6, row 5 : runner-up \| 3 \| 23 june 2002 \| gorizia \| clay \| ainhoa goni-blanco \| 6-7(4-7), 1-6 row 6 : runner-up \| 4 \| 11 august 2002 \| rimini \| clay \| laurence andretto \| 5-7, 4-6 row 7 : winner \| 3 \| 26 january 2003 \| grenoble \| hard \| sophie lefevre \| 7-5, 7-5 row 8 : winner \| 4 \| 16 february 2003 \| southampton \| hard \| magdalena zdenovcova \| 6-1, 3-0, ret row 9 : winner \| 5 \| 23 february 2003 \| redbridge \| hard \| olga barabanschikov \| 6-3, 6-2 row 10 : winner \| 6 \| 23 march 2003 \| castellon \| clay \| ludmila cervanova \| 6-3, 6-3 row 11 : winner \| 7 \| 2 november 2003 \| poitiers \| hard \| roberta vinci \| 6-4, 7-5 row 12 : winner \| 8 \| 1 march 2009 \| biberach \| hard \| kirsten flipkens \| 6-1, 6-2 row 13 : winner \| 9 \| 11 april 2009 \| torhout \| hard \| viktoriya kutuzova \| 6-1, 6-4 row 14 : winner \| 10 \| 11 april 2009 \| mestre \| hard \| yvonne meusburger \| 2-6, 6-2, 6-4 ] Execute this SQL based on the above table: select outcome where id = ( select id where outcome = 'winner' ) + 1	winner
[ header: name \| rural municipality (rm) \| population (2011) \| population (2006) \| change (%) \| land area (km2) \| population density (per km2) row 1 : assiniboia \| lake of the rivers no. 72 \| 2418 \| 2305 \| 4.9 \| 3.78 \| 639.8 row 2 : bengough \| bengough no. 40 \| 313 \| 337 \| -7.1 \| 1.07 \| 292 row 3 : bienfait \| coalfields no. 4 \| 780 \| 748 \| 4.3 \| 3.09 \| 252.4 row 4 : big river \| big river no. 555 \| 639 \| 728 \| -12.2 \| 2.51 \| 255 row 5 : birch hills \| birch hills no. 460 \| 1064 \| 935 \| 13.8 \| 2.27 \| 468.4 row 6 : broadview \| elcapo no. 154 \| 574 \| 611 \| -6.1 \| 2.45 \| 233.8 row 7 : bruno \| bayne no. 371 \| 574 \| 495 \| 16 \| 0.95 \| 606.1 row 8 : churchbridge \| churchbridge no. 211 \| 743 \| 704 \| 5.5 \| 2.76 \| 269.2 row 9 : craik \| craik no. 222 \| 453 \| 408 \| 11 \| 3.02 \| 150 row 10 : govan \| last mountain valley no. 250 \| 216 \| 232 \| -6.9 \| 1.35 \| 159.7 row 11 : kindersley \| kindersley no. 290 \| 4678 \| 4412 \| 6 \| 12.55 \| 372.8 row 12 : kipling \| kingsley no. 124 \| 1051 \| 973 \| 8 \| 2.15 \| 487.9 row 13 : lampman \| browning no. 34 \| 713 \| 634 \| 12.5 \| 2.23 \| 319.9 row 14 : leader \| happyland no. 231 \| 821 \| 881 \| -6.8 \| 1.71 \| 481.2 row 15 : lemberg \| abernethy no. 186 \| 274 \| 255 \| 7.5 \| 2.67 \| 102.7 row 16 : lumsden \| lumsden no. 189 \| 1631 \| 1523 \| 7.1 \| 4.06 \| 402 row 17 : maple creek \| maple creek no. 111 \| 2176 \| 2198 \| -1 \| 4.42 \| 492.1 row 18 : milestone \| brock no. 64 \| 618 \| 562 \| 10 \| 2.17 \| 284.4 row 19 : morse \| morse no. 165 \| 240 \| 236 \| 1.7 \| 1.45 \| 165.7 row 20 : naicam \| pleasantdale no. 398 \| 686 \| 690 \| -0.6 \| 1.69 \| 405.5 row 21 : nipawin \| nipawin no. 487 \| 4265 \| 4076 \| 4.6 \| 8.71 \| 489.4 row 22 : osler \| corman park no. 344 \| 1088 \| 926 \| 17.5 \| 1.55 \| 700.6 row 23 : pilot butte \| mcleod no. 185 \| 1848 \| 1872 \| -1.3 \| 5.05 \| 365.6 row 24 : porcupine plain \| porcupine no. 395 \| 855 \| 783 \| 9.2 \| 2.27 \| 377.2 row 25 : preeceville \| preeceville no. 334 \| 1070 \| 1050 \| 1.9 \| 3.06 \| 350.2 row 26 : rouleau \| redburn no. 130 \| 453 \| 400 \| 13.3 \| 1.61 \| 282.2 row 27 : shaunavon \| grassy creek no. 78 \| 1756 \| 1691 \| 3.8 \| 5.1 \| 344.2 row 28 : springside \| st. philips no. \| 534 \| 513 \| 4.1 \| 0.68 \| 791 row 29 : star city \| star city no. 428 \| 460 \| 428 \| 7.5 \| 0.7 \| 661.1 row 30 : strasbourg \| mckillop no. 220 \| 752 \| 732 \| 2.7 \| 5.7 \| 132 ] Execute this SQL based on the above table: select rural municipality (rm) where rural municipality (rm) = 'star city no. 428' order by population (2011) asc limit 1147	star city no. 428
[ header: year \| title \| peak chart positions aus \| peak chart positions nz \| peak chart positions uk \| album row 1 : 1981 \| "stand up" \| None \| None \| None \| triffids sixth row 2 : 1982 \| "spanish blue" \| None \| None \| None \| single-only release row 3 : 1984 \| "beautiful waste" \| None \| None \| None \| single-only release row 4 : 1985 \| "you don't miss your water" \| None \| None \| None \| single-only release row 5 : 1986 \| "wide open road" \| 64 \| None \| 26 \| born sandy devotional row 6 : 1987 \| "bury me deep in love" \| 48 \| 34 \| None \| calenture row 7 : 1988 \| "trick of the light" \| 77 \| None \| 73 \| calenture row 8 : 1988 \| "holy water" \| None \| None \| None \| calenture row 9 : 1989 \| "goodbye little boy" \| 81 \| None \| None \| the black swan row 10 : 1989 \| "falling over you" \| None \| None \| None \| the black swan row 11 : 2007 \| "save what you can" \| None \| None \| None \| promotional release ] Execute this SQL based on the above table: select count ( title ) where year = 2007	1
[ header: year \| w \| l \| t \| finish \| coach row 1 : 1910 \| 11 \| 0 \| 1 \| None \| earl ball row 2 : 1911 \| 7 \| 1 \| 2 \| None \| earl ball row 3 : 1912 \| 6 \| 3 \| 2 \| None \| earl ball row 4 : 1913 \| 8 \| 2 \| 0 \| indiana state champs \| earl ball row 5 : 1914 \| 5 \| 3 \| 1 \| None \| earl ball row 6 : 1915 \| 8 \| 2 \| 1 \| None \| earl ball row 7 : 1916 \| 2 \| 7 \| 1 \| None \| f.w. smith row 8 : 1917 \| 2 \| 2 \| 0 \| None \| ky foster, ralph daw row 9 : 1918 \| None \| None \| None \| None \| None row 10 : 1919 \| 4 \| 1 \| 1 \| None \| cooney checkaye row 11 : 1920 \| 0 \| 1 \| 0 \| 14th apfa \| ken huffine row 12 : 1921 \| 0 \| 2 \| 0 \| 18th apfa \| cooney checkaye row 13 : 1922 \| 5 \| 1 \| 3 \| None \| cooney checkaye row 14 : 1923 \| 3 \| 4 \| 0 \| None \| cooney checkaye row 15 : 1924 \| 3 \| 3 \| 0 \| None \| cooney checkaye row 16 : 1925 \| 6 \| 2 \| 3 \| None \| cooney checkaye row 17 : 1926 \| 0 \| 1 \| 0 \| incomplete \| None ] Execute this SQL based on the above table: select ( select coach where coach = 'ken huffine' ) - ( select coach where coach = 'earl ball' )	0
[ header: number \| name \| year built \| boat builder \| current status row 1 : 1 \| hilbre \| 1958 \| williams & nixon \| wksc-regularly row 2 : 4 \| hioco \| 1959 \| enterprise boat company, rock ferry \| wksc-regularly row 3 : 6 \| hie \| 1959 \| williams & nixon \| wksc-regularly row 4 : 9 \| hiawatha \| 1960 \| williams & nixon \| wksc-regularly row 5 : 13 \| no boat \| None \| None \| None row 6 : 15 \| hieros \| 1961 \| turner & son, donegal \| understood to be in a garden in chester row 7 : 16 \| high & dry \| 1961 \| turner & son, donegal \| went down in the persian gulf after row 8 : 17 \| hilsa \| 1961 \| enterprise boat company, rock ferry \| wksc-regularly row 9 : 19 \| hilarity \| 1960 \| williams & nixon \| wksc-regularly row 10 : 20 \| hilda \| 1960 \| enterprise boat company, rock ferry \| wksc-regularly row 11 : 22 \| hijack \| 1961 \| turner & son, donegal \| set on fire and destroyed in nevin, row 12 : 24 \| hibiscus \| 1961 \| enterprise boat company, rock ferry \| sunk when it disappeared from its moor row 13 : 27 \| hicotee \| 1961 \| enterprise boat company, rock ferry \| wksc-regularly row 14 : 33 \| hiwmor \| 1961 \| crossfield successors, arnside \| south east england row 15 : 35 \| hilo \| 1961 \| enterprise boat company, rock ferry \| wrecked when escaped moorings row 16 : 37 \| hinden \| 1961 \| crossfield successors, arnside \| destroyed when put in a skip in liverpool row 17 : 39 \| hickory \| 1961 \| crossfield successors, arnside \| burnt on bonfire night row 18 : 41 \| highcrest \| 1961 \| crossfield successors, arnside \| wrecked when came off its mooring row 19 : 44 \| hibrena \| 1961 \| crossfield successors, arnside \| cut up and burnt in 2002 and parts salvage row 20 : 49 \| higgler \| 1961 \| crossfield successors, arnside \| last heard of in polperro row 21 : 50 \| heulwen \| 1962 \| wirral boat co., rock ferry \| porthmadog row 22 : 54 \| hinon \| 1964 \| crossfield successors, arnside \| lying in a garden in buckley, in row 23 : 55 \| hiriver \| 1964 \| anglesey boat co., beaumaris \| sunk in the river mersey row 24 : 56 \| hipparchus \| 1966 \| anglesey boat co., beaumaris \| liverpool maritime museum ] Execute this SQL based on the above table: select count ( name ) where year built = 1964	2
[ header: no. \| date \| tournament \| winning score \| margin of victory \| runner(s)-up row 1 : 4 \| may 21, 1978 \| coca-cola classic \| -3 (69-71-70=210 \| playoff \| joanne carner row 2 : 8 \| aug 6, 1978 \| colgate european open \| -7 (73-71-72-73 \| 3 strokes \| joanne carner, mary d row 3 : 9 \| nov 12, 1978 \| colgate far east open \| e (75-69-72=216 \| 2 strokes \| silvia bertolaccini, row 4 : 11 \| mar 25, 1979 \| sahara national pro-am \| -16 (72-67-66-69 \| 2 strokes \| donna caponi row 5 : 17 \| sep 30, 1979 \| mary kay classic \| -14 (71-66-67-70 \| 2 strokes \| sandra post row 6 : 18 \| mar 30, 1980 \| women's kemper open \| e (72-66-77-69 \| 2 strokes \| debbie massey, jo an row 7 : 19 \| jun 29, 1980 \| the sarah coventry \| -9 (73-67-72-71 \| 1 stroke \| pat bradley row 8 : 20 \| sep 1, 1980 \| rail charity golf classic \| -13 (65-71-71-68 \| 1 stroke \| joanne carner row 9 : 21 \| mar 8, 1981 \| arizona copper classic \| -14 (70-72-68-68 \| 4 strokes \| pat bradley row 10 : 22 \| apr 5, 1981 \| colgate-dinah shore \| -11 (71-73-69-64 \| 2 strokes \| carolyn hill row 11 : 28 \| mar 4, 1984 \| uniden lpga invitational \| e (70-74-66-74=28 \| 3 strokes \| pat bradley row 12 : 29 \| aug 19, 1984 \| chevrolet world championship of women' \| -7 (69-74-65-73=28 \| 1 stroke \| joanne carner row 13 : 30 \| may 19, 1985 \| chrysler-plymouth classic \| -9 (69-69-72=210 \| 3 strokes \| pat bradley row 14 : 32 \| jul 7, 1985 \| mazda hall of fame championship \| -7 (71-70-72-68 \| 3 strokes \| joanne carner, allison fin row 15 : 36 \| sep 13, 1987 \| cellular one-ping golf championship \| -6 (72-67-71=210 \| 1 stroke \| kelly leadbetter, muffin s row 16 : 39 \| may 15, 1988 \| chrysler-plymouth classic \| -12 (68-70-66=204 \| 8 strokes \| jan stephenson row 17 : 42 \| sep 24, 1989 \| nippon travel-mbs classic \| -11 (73-69-65-70 \| 2 strokes \| alice ritzman, pamela row 18 : 43 \| sep 23, 1990 \| mbs lpga classic \| -7 (69-70-74-68 \| playoff \| cathy gerring row 19 : 44 \| may 5, 1991 \| sara lee classic \| -10 (65-70-71=206) \| 2 strokes \| kris monaghan row 20 : 47 \| jul 11, 1993 \| youngstown-warren lpg \| -13 (68-68-67=203 \| playoff \| deb richard ] Execute this SQL based on the above table: select margin of victory - margin of victory where tournament = 'arizona copper classic'	0.0
[ 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 count ( * )	13
[ 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 date where score = 1 order by delta asc limit 492	september 14, 1983, september 18, 1983
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 24 december 2005 \| phang nga, tha \| latvia \| 1-1 \| draw \| 2005 king's cup row 2 : 2 \| 26 march 2006 \| chonburi, thailand \| philippines \| 5-0 \| win \| friendly row 3 : 4 \| 8 october 2007 \| bangkok, thailand \| macau \| 6-1 \| win \| 2010 fifa world cup qualification row 4 : 5 \| 6 february 2008 \| saitama, japan \| japan \| 4-1 \| loss \| 2010 fifa world cup qualification row 5 : 6 \| 15 march 2008 \| kunming, china \| china pr \| 3-3 \| draw \| friendly row 6 : 8 \| 20 may 2008 \| bangkok, thailand \| nepal \| 7-0 \| win \| friendly row 7 : 10 \| 25 may 2008 \| bangkok, thailand \| iraq \| 2-1 \| win \| friendly row 8 : 11 \| 2 june 2008 \| bangkok, thailand \| bahrain \| 2-3 \| loss \| 2010 fifa world cup qualification row 9 : 12 \| 20 december 2008 \| bangkok, thailand \| indonesia \| 2-1 \| win \| 2008 aff suzuki cup row 10 : 13 \| 18 july 2009 \| bangkok, thailand \| pakistan \| 4-0 \| win \| friendly row 11 : 14 \| 8 november 2009 \| bangkok, thailand \| syria \| 1-1 \| draw \| friendly row 12 : 15 \| 8 september 2010 \| new delhi, india \| india \| 2-1 \| win \| friendly row 13 : 16 \| 15 january 2012 \| bangkok, thailand \| south korea \| 1-3 \| loss \| 2012 king's cup row 14 : 17 \| 26 january 2013 \| chiangmai, thailand \| north korea \| 2-2 \| draw \| 2013 king's cup row 15 : 18 \| 5 march 2014 \| bangkok, thailand \| lebanon \| 2-5 \| loss \| 2015 afc asian cup qualification ] Execute this SQL based on the above table: select # order by score asc limit 1	1
[ header: \| landmark name \| location \| summary row 1 : 1 \| flagpole \| the flagpole was once located at 10 s \| flagpole erected in 1941 by del row 2 : 2 \| water pump station and water tower \| northeastern corner of the junction of innovation and \| None row 3 : 3 \| ammo bunker (s-1007) \| southwest of vosler dr. (formerly \| built by del e. webb construction row 4 : 4 \| ammo bunker (s-1008) \| southwest of vosler dr. (formerly \| also built by del e. webb row 5 : 5 \| civil engineering maintenance shop \| northeastern corner of unity ave. \| built by del e. webb construction row 6 : 6 \| demountable hangar \| located at the north apron of \| built in 1925 and designed by webb, de row 7 : 7 \| housing storage supply warehouse \| northwestern corner of the junction of innovation and unity \| built by del e. webb construction ] Execute this SQL based on the above table: select ( select max ( ) ) - ( select max ( ) where != ( select max ( ) ) )	1.0
[ header: date \| opponent \| site \| result \| attendance \| record row 1 : thu., dec. 5, 1940 \| at loyola maryland \| alumni gymnasium • baltimore, \| l 32-36 \| None \| 0-1 row 2 : tue., dec. 10, \| western maryland \| riverside stadium • washington, dc \| w 41-29 \| None \| 1-1 row 3 : thu., dec. 12, 1940 \| at american \| clendenen gymnasium • washington \| w 41-35 \| None \| 2-1 row 4 : mon., dec. 16, 1940 \| george washington \| riverside stadium • washington, dc \| w 50-42 \| None \| 3-1 row 5 : wed., dec. 18, 1940 \| at loyola chicago \| chicago stadium • chicago, \| w 38-35 \| None \| 4-1 row 6 : wed, jan. 8, 1941 \| at canisius \| buffalo memorial auditorium • buffalo, ny \| w 53-35 \| None \| 5-1 row 7 : fri., jan. 10, 1941 \| at temple \| philadelphia convention hall • phil \| w 46-45 \| None \| 6-1 row 8 : wed., jan 15, 1941 \| at army \| hayes gymnasium • west point, n \| w 40-28 \| None \| 7-1 row 9 : thu., jan. 16, 1941 \| new york university \| riverside stadium • washington, dc \| w 36-27 \| None \| 8-1 row 10 : fri., jan. 17, 1941 \| at maryland \| ritchie coliseum • \| w 51-34 \| None \| 9-1 row 11 : wed., jan. 22, 1941 \| at navy \| dahlgren hall • annapolis, \| w 38-18 \| None \| 10-1 row 12 : wed, jan. 29, 1941 \| penn state \| riverside stadium • washington, dc \| w 28-24 ot \| None \| 11-1 row 13 : wed., feb. 5, \| at syracuse \| archbold gymnasium • syrac \| l 43-49 \| None \| 11-2 row 14 : thu., feb. \| at colgate \| huntington gymnasium • hamilton, \| w 39-36 \| None \| 12-2 row 15 : fri., feb. 7, 1941 \| at yale \| payne whitney gymnasium • \| w 41-39 \| None \| 13-2 row 16 : mon, feb. 10, 1941 \| temple \| riverside stadium • washington, dc \| w 57-49 \| 7000 \| 14-2 row 17 : wed., feb. 19, \| at penn state \| recreation hall • state college, pa \| l 38-45 \| None \| 14-3 row 18 : thu., feb. \| at scranton \| watres armory • scranton, \| w 51-40 \| None \| 15-3 row 19 : fri., feb. 28, 1941 \| at fordham \| madison square garden • new york, \| l 42-52 \| None \| 15-4 row 20 : thu., mar. 6, 1941 \| at george washington \| riverside stadium • washington, dc \| w 41-34 \| None \| 16-4 ] Execute this SQL based on the above table: select date where attendance > 1094	mon, feb. 10, 1941
[ header: position \| team \| points \| played \| won \| drawn \| lost \| for \| against \| difference row 1 : 1 \| paulistano \| 30 \| 18 \| 14 \| 2 \| 2 \| 62 \| 19 \| 43 row 2 : 2 \| palestra italia-sp \| 29 \| 18 \| 14 \| 1 \| 3 \| 59 \| 21 \| 38 row 3 : 3 \| corinthians \| 26 \| 18 \| 12 \| 2 \| 4 \| 51 \| 16 \| 35 row 4 : 4 \| ypiranga-sp \| 25 \| 18 \| 11 \| 3 \| 4 \| 56 \| 34 \| 22 row 5 : 5 \| aa sao bento \| 16 \| 18 \| 7 \| 2 \| 9 \| 38 \| 44 \| -6 row 6 : 6 \| santos \| 13 \| 18 \| 6 \| 1 \| 11 \| 36 \| 43 \| -7 row 7 : 7 \| sc internacional de sa \| 11 \| 15 \| 3 \| 5 \| 7 \| 26 \| 44 \| -18 row 8 : 8 \| minas gerais \| 10 \| 15 \| 4 \| 2 \| 9 \| 18 \| 49 \| -31 row 9 : 9 \| aa das palmeiras \| 6 \| 15 \| 3 \| 0 \| 12 \| 27 \| 57 \| -30 row 10 : 10 \| mackenzie \| 2 \| 15 \| 1 \| 0 \| 14 \| 11 \| 57 \| -46 ] Execute this SQL based on the above table: select against where against in ( 34 , 21 ) order by team limit 1	21.0
[ header: # \| menteri besar \| took office \| left office \| party row 1 : 1 \| jaafar mohamed \| 1886 \| july 1890 \| no party row 2 : 2 \| mohamed mahbob \| june 1920 \| 1922 \| no party row 3 : 3 \| abdullah jaafar \| september 1923 \| 1928 \| no party row 4 : 4 \| mustapha jaafar \| september 16, 1928 \| november 23, 1931 \| no party row 5 : 5 \| abdul hamid yusof \| november 23, 1931 \| december 28, 1934 \| no party row 6 : 6 \| ungku abdul aziz abd \| april 1935 \| june 1, 1947 \| no party row 7 : 7 \| onn jaafar \| june 1, 1947 \| may 18, 1950 \| no party row 8 : 8 \| syed abdul kadir mo \| february 18, 1952 \| june 5, 1955 \| no party row 9 : 9 \| wan idris ibra \| october 1, 1955 \| august 31, 1957 \| no party ] Execute this SQL based on the above table: select left office where party = 'no party' and # = 6	june 1, 1947
[ header: round \| pick \| player \| nationality \| college/junior/club team row 1 : 1 \| 3 \| rick hampton \| canada \| st. catharines black hawk row 2 : 1 \| 17 \| ron chipperfield \| canada \| brandon wheat kings (wchl row 3 : 2 \| 21 \| bruce affleck \| canada \| university of denver pioneers (wcha) row 4 : 3 \| 39 \| charlie simmer \| canada \| sault ste. marie greyhound row 5 : 4 \| 57 \| tom price \| canada \| ottawa 67's ( row 6 : 5 \| 75 \| jim warden \| united states \| michigan tech huskies (wcha row 7 : 6 \| 93 \| tom sundberg \| united states \| st. paul vulcans row 8 : 7 \| 111 \| tom anderson \| united states \| st. paul vulcans row 9 : 8 \| 128 \| jim mccabe \| canada \| welland sabres (so ] Execute this SQL based on the above table: select pick where college/junior/club team = 'michigan tech huskies (wcha)'	75.0
[ header: # \| name (birth-death) \| took office \| left office \| monarch \| prime minister row 1 : 1 \| the viscount gladstone (1854-1930) \| 31 may 1910 \| 8 september 1914 \| george v \| botha row 2 : 2 \| the viscount buxton (1853-1934) \| 8 september 1914 \| 17 november 1920 \| george v \| botha row 3 : 3 \| hrh prince arthur of conn \| 17 november 1920 \| 21 january 1924 \| george v \| smuts row 4 : 4 \| the earl of athlone (1874 \| 21 january 1924 \| 26 january 1931 \| george v \| smuts row 5 : 5 \| the earl of clarendon (1877 \| 26 january 1931 \| 5 april 1937 \| george v \| hertzog row 6 : 6 \| sir patrick duncan (1870-19 \| 5 april 1937 \| 17 july 1943 \| george vi \| hertzog row 7 : 6 \| nicolaas jacobus de \| 17 july 1943 \| 1 january 1946 \| george vi \| smuts row 8 : 7 \| gideon brand van zyl (18 \| 1 january 1946 \| 1 january 1951 \| george vi \| smuts row 9 : 8 \| ernest george jans \| 1 january 1951 \| 25 november 1959 \| george vi \| malan row 10 : 8 \| lucas cornelius stey \| 26 november 1959 \| 11 december 1959 \| elizabeth ii \| verwoerd row 11 : 9 \| charles robberts swar \| 11 december 1959 \| 30 april 1961 \| elizabeth ii \| verwoerd row 12 : 9 \| lucas cornelius stey \| 30 april 1961 \| 31 may 1961 \| elizabeth ii \| verwoerd ] Execute this SQL based on the above table: select count ( monarch ) where # >= 7	5
[ header: date \| round \| opponent \| venue \| result \| attendance \| scorers row 1 : 16 september 1992 \| r1 \| lyngby \| h \| 2-0 \| 40036 \| hateley, huistra row 2 : 30 september 1992 \| r1 \| lyngby \| a \| 1-0 \| 4273 \| durrant row 3 : 21 october 1992 \| r2 \| leeds united \| h \| 2-1 \| 43251 \| mccoist, lukic row 4 : 4 november 1992 \| r2 \| leeds united \| a \| 2-1 \| 25118 \| hateley, mccoist row 5 : 25 november 1992 \| gs \| marseille \| h \| 2-2 \| 41624 \| mcswegan, hateley row 6 : 9 december 1992 \| gs \| cska moscow \| a \| 1-0 \| 9000 \| ferguson row 7 : 3 march 1993 \| gs \| club brugge \| a \| 1-1 \| 19000 \| huistra row 8 : 17 march 1993 \| gs \| club brugge \| h \| 2-1 \| 42731 \| durrant, nisbet row 9 : 7 april 1993 \| gs \| marseille \| a \| 1-1 \| 46000 \| durrant row 10 : 21 april 1993 \| gs \| cska moscow \| h \| 0-0 \| 43142 \| None ] Execute this SQL based on the above table: select date where attendance not null	16 september 1992, 30 september 1992, 21 october 1992, 4 november 1992, 25 november 1992, 9 december 1992, 3 march 1993, 17 march 1993, 7 april 1993, 21 april 1993
[ header: pos. \| athlete \| run 1 \| run 2 \| total row 1 : 1 \| aronne pieruz \| 50.39 \| 58.25 \| 1:48.64 row 2 : 2 \| filip trejbal \| 50.68 \| 58.84 \| 1:49.52 row 3 : 3 \| adam cole \| 51.4 \| 58.51 \| 1:49.91 row 4 : 4 \| tague thorson \| 51.2 \| 59.13 \| 1:50.33 row 5 : 5 \| jan urfer \| 51.54 \| 59.1 \| 1:50.64 row 6 : 6 \| charles christianson \| 51.75 \| 58.91 \| 1:50.66 row 7 : 7 \| francesco ghedina \| 51.37 \| 59.39 \| 1:50.94 row 8 : 8 \| luca moretti \| 52.05 \| 58.89 \| 1:51.17 row 9 : 9 \| cameron barnes \| 51.66 \| 59.51 \| 1:51.37 row 10 : 10 \| martin vrablik \| 52.77 \| 58.6 \| 1:51.48 ] Execute this SQL based on the above table: select pos. where pos. in ( 2 , 3 ) group by pos. order by count ( athlete ) desc limit 1	3.0
[ header: riding \| candidate \| gender \| residence \| occupation \| votes \| % \| rank \| biographical notes row 1 : cape breton-canso \| mark macneill \| m \| inverness \| government and business policy advisor \| 7660 \| 21.1 \| 3rd \| served in ottawa as a row 2 : central nova \| mary louise lorefice \| f \| antigonish \| retired educator \| 7659 \| 19.6 \| 3rd \| lorefice is a retired teacher row 3 : cumberland-colchester-musquod \| karen olsson \| f \| north river \| stay-at-home mother \| 4874 \| 12.3 \| 2nd \| None row 4 : dartmouth-cole harbour \| brad pye \| m \| ottawa, on \| senior political party program officer \| 12793 \| 31.5 \| 2nd \| pye is an international development worker and row 5 : halifax \| megan leslie \| f \| halifax \| community legal worker \| 19252 \| 42.7 \| 1st \| None row 6 : halifax west \| tamara lorincz \| f \| halifax \| director of nova scotia environment \| 12201 \| 29.6 \| 2nd \| an environmentalist row 7 : kings-hants \| carol e. harris \| f \| wolfville \| university professor \| 8291 \| 22 \| 3rd \| she was the ndp's candidate in row 8 : sackville-eastern shore \| peter stoffer \| m \| windsor junction \| parliamentarian \| 24279 \| 61.4 \| 1st \| stoffer has been the incumbent mp since row 9 : south shore-st. margaret \| gordon s. earle \| m \| upper tantallon \| retired public servant \| 13456 \| 33.7 \| 2nd \| earle is the former federal mp for row 10 : sydney-victoria \| wayne mckay \| m \| sydney \| teacher \| 8559 \| 24.4 \| 2nd \| None row 11 : west nova \| george barron \| m \| bear river \| paramedic \| 7097 \| 16.9 \| 3rd \| barron was born near paris, on ] Execute this SQL based on the above table: select votes where biographical notes is null	4874.0, 19252.0, 8559.0
[ header: round \| selection \| player \| position \| college row 1 : 1 \| 22 \| desmond trufant \| cb \| washington row 2 : 2 \| 60 \| robert alford \| cb \| southeastern louisiana row 3 : 4 \| 127 \| malliciah goodman \| de \| clemson row 4 : 4 \| 133 \| levine toilolo \| te \| stanford row 5 : 5 \| 153 \| stansly maponga \| de \| tcu row 6 : 7 \| 243 \| kemal ishmael \| s \| central florida row 7 : 7 \| 244 \| zeke motta \| s \| notre dame row 8 : 7 \| 249 \| sean renfree \| qb \| duke ] Execute this SQL based on the above table: select count ( distinct college )	8
[ header: pos \| no \| driver \| constructor \| laps \| time/retired \| grid \| points row 1 : 1 \| 10 \| juan pablo montoya \| mclaren-mercedes \| 60 \| 1:24:29.588 \| 3 \| 10 row 2 : 2 \| 5 \| fernando alonso \| renault \| 60 \| 2.739 \| 1 \| 8 row 3 : 3 \| 9 \| kimi raikkonen \| mclaren-mercedes \| 60 \| 14.436 \| 12 \| 6 row 4 : 4 \| 6 \| giancarlo fisichella \| renault \| 60 \| 17.914 \| 6 \| 5 row 5 : 5 \| 3 \| jenson button \| bar-honda \| 60 \| 40.264 \| 2 \| 4 row 6 : 6 \| 1 \| michael schumacher \| ferrari \| 60 \| +1:15.322 \| 9 \| 3 row 7 : 7 \| 2 \| rubens barrichello \| ferrari \| 60 \| +1:16.567 \| 5 \| 2 row 8 : 8 \| 17 \| ralf schumacher \| toyota \| 60 \| +1:19.212 \| 8 \| 1 row 9 : 9 \| 16 \| jarno trulli \| toyota \| 60 \| +1:20.851 \| 4 \| None row 10 : 10 \| 12 \| felipe massa \| sauber-petronas \| 59 \| +1 lap \| 16 \| None row 11 : 11 \| 7 \| mark webber \| williams-bmw \| 59 \| +1 lap \| 11 \| None row 12 : 12 \| 8 \| nick heidfeld \| williams-bmw \| 59 \| +1 lap \| 14 \| None row 13 : 13 \| 14 \| david coulthard \| red bull-cosworth \| 59 \| +1 lap \| 13 \| None row 14 : 14 \| 11 \| jacques villeneuve \| sauber-petronas \| 59 \| +1 lap \| 10 \| None row 15 : 15 \| 15 \| christian klien \| red bull-cosworth \| 59 \| +1 lap \| 15 \| None row 16 : 16 \| 4 \| takuma sato \| bar-honda \| 58 \| +2 laps \| 7 \| None row 17 : 17 \| 18 \| tiago monteiro \| jordan-toyota \| 58 \| +2 laps \| 20 \| None row 18 : 18 \| 21 \| christijan albers \| minardi-cosworth \| 57 \| +3 laps \| 18 \| None row 19 : 19 \| 20 \| patrick friesacher \| minardi-cosworth \| 56 \| +4 laps \| 19 \| None row 20 : ret \| 19 \| narain karthikeyan \| jordan-toyota \| 10 \| electrical \| 17 \| None ] Execute this SQL based on the above table: select count ( pos ) where driver = 168	0
[ header: season \| date \| jia-a/csl winner \| result \| fa cup winner \| scorers \| stadium row 1 : 1995 \| 9 december 1995 \| shanghai shenhua \| 1 - 0 \| jinan taishan ( \| fan zhiyi \| hongkou stadium, shangha row 2 : 1996 \| 9 march 1997 \| dalian wanda (now dalian \| 3 - 2 \| beijing guoan \| wang tao (2), l \| shenzhen stadium, shenzhen row 3 : 1997 \| 12 march 1998 \| dalian wanda (now dalian \| 1 - 2 aet (g \| beijing guoan \| wang tao, olivas \| wenzhou stadium, wenzhou row 4 : 1998 \| 7 march 1999 \| dalian wanda (now dalian \| 0 - 3 \| shanghai shenhua \| wu chengying, marcel \| mianyang stadium, mianyang row 5 : 1999 \| 4 march 2000 \| shandong luneng \| 2 - 4 \| liaoning fushun \| li xiaopeng, casiano \| hongkou stadium, shangha row 6 : 2000 \| 30 december 2000 \| dalian shide \| 4 - 1 \| chongqing lifan \| hao haidong, wang pe \| hongkou stadium, shangha row 7 : 2001 \| 26 february 2002 \| dalian shide \| 1 - 3 (1 - 1 / \| shanghai shenhua \| srđan bajcetic \| hongkou stadium, shangha row 8 : 2001 \| 2 march 2002 \| dalian shide \| 1 - 3 (1 - 1 / \| shanghai shenhua \| orlando (2) \| jinzhou stadium, dalian row 9 : 2002 \| 6 february 2003 \| dalian shide \| 1 - 0 \| qingdao beilaite \| hao haidong \| wuhan sports center, wu row 10 : 2003 \| 18 january 2004 \| shanghai shenhua \| 3 - 4 \| beijing hyundai ( \| zhang yuning, z \| olympic park stadium, w row 11 : 2012 \| 25 february 2012 \| guangzhou evergrande \| 2 - 1 \| tianjin teda \| cleo (2) wang xinx \| guangzhou university city stadium, gu row 12 : 2013 \| 3 march 2013 \| guangzhou evergrande \| 1 - 2 \| jiangsu sainty \| salihi krivets \| tianhe stadium, guangzhou row 13 : 2014 \| 17 february 2014 \| guangzhou evergrande \| 0 - 1 \| guizhou renhe \| sun jihai \| guizhou olympic stadium, ] Execute this SQL based on the above table: select count ( stadium ) where stadium = 'shenzhen stadium, shenzhen'	1
[ header: year \| winner \| second \| third \| starters row 1 : 2013 \| new year's day \| havana \| strong mandate \| 13 row 2 : 2012 \| shanghai bobby \| he's had enough \| capo bastone \| 9 row 3 : 2011 \| hansen \| union rags \| creative cause \| 13 row 4 : 2010 \| uncle mo \| boys at toscanova \| rogue romance \| 11 row 5 : 2009 \| vale of york \| lookin at lucky \| noble's promise \| 13 row 6 : 2008 \| midshipman \| square eddie \| street hero \| 12 row 7 : 2007 \| war pass \| pyro \| kodiak kowboy \| 11 row 8 : 2006 \| street sense \| circular quay \| great hunter \| 14 row 9 : 2005 \| stevie wonderboy \| henny hughes \| first samurai \| 14 row 10 : 2004 \| wilko \| afleet alex \| sun king \| 8 row 11 : 2003 \| action this day \| minister eric \| chapel royal \| 12 row 12 : 2002 \| vindication \| kafwain \| hold that tiger \| 13 row 13 : 2001 \| johannesburg \| repent \| siphonic \| 12 row 14 : 2000 \| macho uno \| point given \| street cry \| 14 row 15 : 1999 \| anees \| chief seattle \| high yield \| 14 row 16 : 1998 \| answer lively \| aly's alley \| cat thief \| 13 row 17 : 1997 \| favorite trick \| dawson's legacy \| nationalore \| 8 row 18 : 1996 \| boston harbor \| acceptable \| ordway \| 10 row 19 : 1995 \| unbridled's song \| hennessy \| editor's note \| 13 row 20 : 1994 \| timber country \| eltish \| tejano run \| 13 row 21 : 1993 \| brocco \| blumin affair \| tabasco cat \| 11 row 22 : 1992 \| gilded time \| it'sali'lknownfact \| river special \| 13 row 23 : 1991 \| arazi \| bertrando \| snappy landing \| 14 row 24 : 1990 \| fly so free \| take me out \| lost mountain \| 11 row 25 : 1989 \| rhythm \| grand canyon \| slavic \| 12 row 26 : 1988 \| is it true \| easy goer \| tagel \| 10 row 27 : 1987 \| success express \| regal classic \| tejano \| 13 row 28 : 1986 \| capote \| qualify \| alysheba \| 13 row 29 : 1985 \| tasso \| storm cat \| scat dancer \| 13 row 30 : 1984 \| chief's crown \| tank's prospect \| spend a buck \| 10 ] Execute this SQL based on the above table: select winner where second = 'storm cat'	tasso
[ header: year \| species \| height \| location grown \| state \| notes row 1 : 2006 \| pacific silver fir \| 65 feet (20 m) \| olympic national forest \| washington \| the tree was lit by dennis hastert row 2 : 2005 \| engelmann spruce \| 65 feet (20 m) \| santa fe national forest \| new mexico \| the tree was lit by dennis hastert row 3 : 2004 \| red spruce \| 65 feet (20 m) \| george washington and jefferson national \| virginia \| the tree was lit by dennis hastert row 4 : 2001 \| white spruce \| 72 feet (22 m) \| ottawa national forest \| michigan \| known as "the tree of hope," the tree row 5 : 1995 \| douglas fir \| 60 feet (18 m) \| plumas national forest \| california \| None row 6 : 1987 \| norway spruce \| 60 feet (18 m) \| wayne national forest \| ohio \| None row 7 : 1983 \| white spruce \| 52 feet (16 m) \| chequamegon national forest \| wisconsin \| None row 8 : 1982 \| balsam fir \| 50 feet (15 m) \| riley bostwich wildlife management \| vermont \| None row 9 : 1980 \| white spruce \| 48 feet (15 m) \| green mountain national forest \| vermont \| None row 10 : 1975 \| balsam fir \| 41 feet (12 m) \| ottawa national forest \| michigan \| None row 11 : 1972 \| balsam fir \| 50 feet (15 m) \| tennessee national forest \| pennsylvania \| None row 12 : 1968 \| white pine \| 30 feet (9.1 m) \| finksburg, maryland \| maryland \| made from two different trees ] Execute this SQL based on the above table: select location grown where height >= 410	finksburg, maryland
[ header: tournament \| 1992 \| 1993 \| 1994 \| 1995 \| 1996 \| 1997 \| 1998 \| 1999 \| 2000 \| 2001 \| 2002 \| 2003 \| 2004 \| 2005 \| 2006 \| 2007 \| 2008 \| 2009 \| 2010 \| career sr \| career w-l row 1 : australian open \| a \| a \| 1r \| qf \| a \| 2r \| 1r \| 1r \| 2r \| qf \| qf \| 3r \| qf \| w \| sf \| sf \| 3r \| 3r \| a \| 1 / 15 \| 33-14 row 2 : wimbledon \| a \| lq \| 1r \| 1r \| a \| 1r \| 2r \| 3r \| 1r \| 1r \| 2r \| 3r \| qf \| sf \| qf \| 2r \| f \| qf \| 1r \| 0 / 16 \| 24-16 row 3 : grand slam w-l \| 0-0 \| 0-0 \| 0-4 \| 3-2 \| 0-1 \| 1-4 \| 3-4 \| 4-4 \| 2-4 \| 11-3 \| 9-4 \| 7-4 \| 12-4 \| 14-3 \| 12-4 \| 10-4 \| 8-4 \| 9-4 \| 0-1 \| 2 / 60 \| 105-58 row 4 : indian wells \| a \| a \| sf \| lq \| a \| a \| a \| 2r \| 1r \| 1r \| qf \| 2r \| f \| qf \| 1r \| qf \| qf \| 1r \| a \| 0 / 12 \| 16-12 row 5 : miami \| a \| a \| 2r \| 1r \| a \| a \| 2r \| 2r \| 3r \| 3r \| 3r \| 2r \| w \| f \| sf \| qf \| 2r \| qf \| a \| 1 / 14 \| 23-13 row 6 : monte carlo \| a \| a \| a \| a \| a \| a \| a \| 2r \| 1r \| 1r \| a \| sf \| a \| a \| a \| sf \| sf \| 2r \| a \| 0 / 7 \| 7-7 row 7 : rome \| a \| a \| a \| a \| a \| a \| a \| 1r \| a \| 1r \| f \| 2r \| qf \| 2r \| qf \| qf \| sf \| sf \| a \| 0 / 10 \| 11-10 row 8 : canada \| a \| a \| a \| a \| a \| a \| 1r \| 2r \| 2r \| 2r \| 2r \| 1r \| 2r \| w \| f \| f \| qf \| 2r \| a \| 1 / 12 \| 14-11 row 9 : shanghai \| not held \| not held \| not held \| not held \| not held \| not held \| not held \| not held \| not held \| not held \| not held \| not held \| not held \| not held \| not held \| not held \| not held \| 2r \| a \| 0 / 1 \| 0-1 row 10 : paris \| a \| a \| a \| a \| a \| a \| qf \| 1r \| 1r \| sf \| 2r \| qf \| f \| sf \| 1r \| qf \| w \| 2r \| a \| 1 / 12 \| 16-11 row 11 : hamburg \| a \| a \| a \| a \| a \| a \| a \| 2r \| a \| 2r \| 1r \| 2r \| w \| 2r \| w \| f \| 2r \| nme \| nme \| 2 / 9 \| 13-7 row 12 : year end ranking \| 235 \| 135 \| 91 \| 158 \| 103 \| 92 \| 35 \| 26 \| 34 \| 13 \| 11 \| 18 \| 9 \| 6 \| 8 \| 10 \| 8 \| 24 \| None \| None \| None ] Execute this SQL based on the above table: select count ( * ) where 2008 = 'a'	0
[ header: no. \| name \| term of office \| president(s) served under row 1 : 1 \| william bennett \| 1989 - 1991 \| george h. w. bush row 2 : 2 \| bob martinez \| march 28, 1991 - january 20, \| george h. w. bush row 3 : 3 \| lee p. brown \| january 1993 - december \| bill clinton row 4 : 4 \| barry mccaffrey \| february 29, 1996 - janu \| bill clinton row 5 : 5 \| john p. walters \| december 7, 2001 - janu \| george w. bush row 6 : 6 \| gil kerlikowske \| may 7, 2009 - march 6, 2014 \| barack obama row 7 : acting \| michael botticelli \| march 6, 2014 - \| barack obama ] Execute this SQL based on the above table: select count ( distinct ( name ) )	7
[ header: # \| date \| opponent \| score \| win \| loss \| save \| attendance \| record \| other info row 1 : 104 \| august 2 \| phillies \| 3 - 2 10 \| smith (3-6) \| calhoun (0-1) \| None \| 33629 \| 54-50 \| None row 2 : 105 \| august 3 \| @ pirates \| 6 - 4 \| drabek (3-10) \| maddux (6-10) \| gott (1) \| 7281 \| 54-51 \| None row 3 : 106 \| august 4 \| @ pirates \| 3 - 2 11 \| mason (3-1) \| gideon (1-2) \| None \| 8744 \| 55-51 \| None row 4 : 107 \| august 5 \| @ pirates \| 10 - 0 \| fisher (7-6) \| moyer (9-8) \| None \| 7726 \| 55-52 \| None row 5 : 110 \| august 8 \| @ mets \| 5 - 3 \| mason (4-1) \| schulze (1-2) \| smith (27) \| 47893 \| 56-54 \| None row 6 : 111 \| august 9 \| @ mets \| 6 - 3 \| sanderson (5-6) \| gooden (9-4) \| smith (28) \| 49031 \| 57-54 \| None row 7 : 112 \| august 10 \| @ phillies \| 4 - 2 \| frohwirth (1-0) \| moyer (9-9) \| bedrosian (31) \| 26796 \| 57-55 \| None row 8 : 113 \| august 11 \| @ phillies \| 9 - 8 13 \| k. gross (7-10) \| tewksbury (0-4) \| None \| 30459 \| 57-56 \| None row 9 : 114 \| august 12 \| @ phillies \| 13 - 7 \| calhoun (1-1) \| lynch (1-7) \| None \| 36190 \| 57-57 \| None row 10 : 116 \| august 14 \| mets \| 6 - 1 \| sanderson (6-6) \| mitchell (3-5) \| None \| 17811 \| 59-57 \| None row 11 : 117 \| august 15 \| mets \| 7 - 3 \| moyer (10-9) \| leach (10-1) \| dipino (2) \| 32425 \| 60-57 \| None row 12 : 118 \| august 16 \| mets \| 23 - 10 \| darling (10-7) \| maddux (6-11) \| None \| 32731 \| 60-58 \| billy williams day ruined by row 13 : 119 \| august 18 \| @ braves \| 9 - 5 \| mahler (7-12) \| lynch (1-8) \| acker (8) \| 17469 \| 60-59 \| None row 14 : 120 \| august 19 \| @ braves \| 9 - 1 \| sanderson (7-6) \| puleo (5-6) \| None \| 10523 \| 61-59 \| None row 15 : 121 \| august 20 \| @ braves \| 13 - 4 \| acker (1-5) \| moyer (10-10) \| None \| 11647 \| 61-60 \| None row 16 : 123 \| august 22 \| astros \| 5 - 4 11 \| andersen (8-4) \| dipino (3-3) \| smith (21) \| 32552 \| 62-61 \| None row 17 : 124 \| august 23 \| astros \| 4 - 2 \| heathcock (3-1) \| sutcliffe (15-6) \| smith (22) \| 33934 \| 62-62 \| None row 18 : 126 \| august 27 \| braves \| 8 - 6 8 \| lancaster (4-1) \| mahler (7-13) \| dipino (3) \| 19006 \| 63-63 \| None row 19 : 127 \| august 28 \| @ reds \| 6 - 5 10 \| smith (4-7) \| franco (7-5) \| None \| 28223 \| 64-63 \| None row 20 : 128 \| august 29 \| @ reds \| 4 - 1 \| browning (6-11) \| sanderson (7-7) \| None \| 37783 \| 64-64 \| None ] Execute this SQL based on the above table: select attendance order by record desc limit 1	28223
[ header: first issued \| design \| slogan \| serial format \| serials issued \| notes row 1 : 1955 \| white embossed digits with white border \| "grand canyon state" embossed in white \| a-12345 \| None \| coded by county of issuance row 2 : 1958 \| white embossed digits with white border \| grand canyon state embossed in white and \| abc-123 \| aaa-001 to bzz \| None row 3 : 1960 \| blue embossed digits with blue border \| grand canyon state embossed in blue and \| abc-123 \| caa-001 to dzz-999 \| None row 4 : 1963 \| white embossed digits with white border \| grand canyon state embossed in white and \| abc-123 \| eaa-001 to fzz \| None row 5 : 1965 \| black embossed digits with black border \| grand canyon state embossed in black and \| abc-123 \| haa-001 to jzz-999 \| None row 6 : 1968 \| black embossed digits with black border \| grand canyon state embossed in black and \| abc-123 \| kaa-001 to nzz- \| None row 7 : 1972 \| green embossed digits with green border \| grand canyon state embossed in green and \| abc-123 \| paa-001 to wzz-999 \| None row 8 : 1980 \| white embossed digits with white emb \| grand canyon state embossed in white and \| abc-123 \| aaa-001 to nzz \| None row 9 : 1996 \| dark green embossed digits on \| grand canyon state in dark green thin plain letters at \| 123·abc \| 101·aaa to 999·z \| awarded "plate of the year" for best new row 10 : 2008 \| dark green screened digits on screened \| grand canyon state in dark green thin plain letters at \| abc1234 \| aaa0001 to present \| None ] Execute this SQL based on the above table: select first issued group by first issued order by count ( serial format ) desc limit 1	2008
[ header: year \| single \| peak chart positions ger \| peak chart positions ire \| peak chart positions uk \| peak chart positions us \| peak chart positions us main \| peak chart positions us dance \| certifications (sales thresholds) \| album row 1 : 1970 \| "memo from turner" \| 23 \| None \| 32 \| None \| None \| None \| \| performance (soundtrack) row 2 : 1978 \| "don't look back" (with pe \| None \| None \| 43 \| 81 \| None \| None \| \| bush doctor (peter tosh album) row 3 : 1984 \| "state of shock" (with the jack \| 23 \| 8 \| 14 \| 3 \| 3 \| None \| \| victory (the jacksons album) row 4 : 1985 \| "just another night" \| 16 \| 21 \| 32 \| 12 \| 1 \| 11 \| \| she's the boss row 5 : 1985 \| "lonely at the top" \| None \| None \| None \| None \| 9 \| None \| \| she's the boss row 6 : 1985 \| "lucky in love" \| 44 \| None \| 91 \| 38 \| 5 \| 11 \| \| she's the boss row 7 : 1985 \| "hard woman" \| 57 \| None \| None \| None \| None \| None \| \| she's the boss row 8 : 1985 \| "dancing in the street" (with \| 6 \| 1 \| 1 \| 7 \| 3 \| 4 \| \| single only row 9 : 1986 \| "ruthless people" \| None \| None \| None \| 51 \| 14 \| 29 \| \| ruthless people (soundtrack) row 10 : 1987 \| "let's work" \| 29 \| 24 \| 31 \| 39 \| 7 \| 32 \| \| primitive cool row 11 : 1987 \| "throwaway" \| None \| None \| None \| 67 \| 7 \| None \| \| primitive cool row 12 : 1987 \| "say you will" \| None \| None \| None \| None \| 39 \| None \| \| primitive cool row 13 : 1993 \| "sweet thing" \| 23 \| None \| 24 \| 84 \| 34 \| None \| \| wandering spirit row 14 : 1993 \| "wired all night" \| None \| None \| None \| None \| 3 \| None \| \| wandering spirit row 15 : 1993 \| "don't tear me up" \| 77 \| None \| 86 \| None \| 1 \| None \| \| wandering spirit row 16 : 1993 \| "out of focus" \| 70 \| None \| None \| None \| None \| None \| \| wandering spirit row 17 : 2001 \| "god gave me everything" \| 60 \| None \| None \| None \| 24 \| None \| \| goddess in the doorway row 18 : 2002 \| "visions of paradise" \| 77 \| None \| 43 \| None \| None \| None \| \| goddess in the doorway row 19 : 2004 \| "old habits die hard" (with dave \| 62 \| None \| 45 \| None \| None \| None \| \| alfie (soundtrack) row 20 : 2008 \| "charmed life" \| None \| None \| None \| None \| None \| 18 \| \| the very best of mick jagger row 21 : 2011 \| "miracle worker" (with superhe \| None \| None \| 136 \| None \| None \| None \| \| superheavy (superheavy album) row 22 : 2011 \| "t.h.e (the hardest ever \| None \| 13 \| 3 \| 36 \| None \| None \| \| #willpower (will.i.am album ] Execute this SQL based on the above table: select album where single = '"state of shock" (with the jacksons)'	victory (the jacksons album)
[ header: name(s) \| yard no. \| type (as built) \| owner \| imo number \| laid down \| launched \| delivered/ commissioned \| fate/ decommissioned \| notes row 1 : sally \| 100 \| yacht \| lyman \| \| None \| None \| None \| None \| None row 2 : caprice \| 101 \| yacht \| robinson \| \| None \| None \| None \| None \| None row 3 : eleanor \| 103 \| yacht \| clapp \| \| None \| None \| None \| None \| None row 4 : uss lawrence (dd-8) \| 104 \| bainbridge-class destroyer \| u.s. navy \| \| 10 april 1899 \| 7 november 1900 \| 7 april 1903 \| 20 june 1919 \| sold to joseph g. hit row 5 : uss macdonough (dd-9) \| 105 \| bainbridge-class destroyer \| u.s. navy \| \| 10 april 1899 \| 24 december 1900 \| 5 september 1903 \| 3 september 1919 \| sold to joseph g. hit row 6 : jule \| 106 \| yacht \| j. arthur \| \| None \| None \| 12 june 1899 \| None \| None row 7 : united states lightship lv-72 \| 107 \| lightvessel \| u.s lighthouse board \| \| None \| None \| 13 february 1901 \| None \| None ] Execute this SQL based on the above table: select type (as built) order by yard no. desc limit 1	lightvessel
[ header: record \| date and time \| competition \| home or away \| opponent \| score row 1 : biggest win \| 19.10.1912 at 15:00 \| spartan league \| home \| aylesbury united \| 14-0 row 2 : biggest defeat \| 09.11.1946 at 15:00 \| isthmian league \| home \| wimbledon \| 0-11 row 3 : most goals in one match \| 22.11.1922 at 15:00 \| fa cup / 4th q \| away \| dulwich hamlet \| 7-8 row 4 : biggest home win \| 19.10.1912 at 15:00 \| spartan league \| home \| aylesbury united \| 14-0 row 5 : biggest home defeat \| 09.11.1946 at 15:00 \| isthmian league \| home \| wimbledon \| 0-11 row 6 : biggest away win \| 24.11.1970 at 15:00 \| mithras cup 2nd r \| away \| ruislip manor \| 10-0 row 7 : biggest away win \| 17.04.1920 at 15:00 \| spartan league \| away \| tufnell spartans \| 11-1 row 8 : biggest away defeat \| 04.11.2008 at 19:45 \| herts charity cup \| away \| hemel hempstead town \| 0-10 ] Execute this SQL based on the above table: select date and time where record = 'biggest defeat'	09.11.1946 at 15:00
[ 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 ( select games where team = 'den' ) - ( select games where team = 'den' )	0.0
[ header: name \| dates \| grt \| propulsion \| port \| notes row 1 : arataki i \| 1948-84 \| 74 \| 320 bhp diesel, 10 knot \| None \| us navy harbour tug row 2 : arataki ii \| 1984-99 \| 143 \| 1100 bhp diesel, 12 knot \| timaru \| harbour tug row 3 : hipi \| 1942-56 \| 39 \| 100 bhp diesel, 8 knots \| auckland \| towing lighters row 4 : kahanui \| 1942-45 \| 207 \| 800 ihp sr t \| wanganui \| harbour tug row 5 : manawanui i \| 1948-52 \| 74 \| 329 bhp diesel, 10 knot \| auckland \| us navy harbour tug row 6 : meola \| 1961- \| 19 \| 76 bhp diesel, 9 knot \| auckland \| work boat row 7 : toia \| 1926-49 \| 423 \| 1250 ihp sr \| wellington \| world war i saint class naval tug, ] Execute this SQL based on the above table: select count ( * ) where grt = 74	2
[ header: year \| single \| peak chart positions us \| peak chart positions us r&b \| peak chart positions aus \| peak chart positions can \| peak chart positions nld \| peak chart positions nz \| peak chart positions uk \| certifications \| album row 1 : 1992 \| "happy days" \| 86 \| 13 \| None \| None \| None \| None \| None \| None \| lose control row 2 : 1993 \| "freak me" \| 1 \| 1 \| 3 \| 43 \| 42 \| 9 \| 46 \| us: platinum \| lose control row 3 : 1993 \| "girl u for me" \| 26 \| 4 \| None \| None \| None \| 30 \| 67 \| None \| lose control row 4 : 1993 \| "lose control" \| 26 \| 4 \| None \| None \| None \| None \| None \| None \| lose control row 5 : 1993 \| "it had to be you" \| 109 \| 45 \| None \| None \| None \| None \| None \| None \| lose control row 6 : 1993 \| "baby it's you" \| None \| None \| None \| None \| None \| None \| 44 \| None \| lose control row 7 : 1994 \| "i can go deep" \| 71 \| 22 \| None \| None \| None \| None \| None \| None \| a low down dirty shame / silk row 8 : 1995 \| "hooked on you" \| 54 \| 12 \| None \| None \| None \| 11 \| 81 \| None \| silk row 9 : 1996 \| "don't rush" \| 91 \| 39 \| None \| None \| None \| None \| None \| None \| silk row 10 : 1999 \| "if you (lovin' me)" \| 13 \| 4 \| None \| None \| None \| 28 \| None \| us: gold \| tonight row 11 : 1999 \| "meeting in my bedroom" \| 62 \| 15 \| None \| None \| None \| None \| None \| None \| tonight row 12 : 1999 \| "let's make love" \| None \| 58 \| None \| None \| None \| None \| None \| None \| tonight row 13 : 2001 \| "we're callin u" \| None \| 56 \| None \| None \| None \| None \| None \| None \| love session row 14 : 2001 \| "ebony eyes" \| None \| None \| None \| None \| None \| None \| None \| None \| love session row 15 : 2003 \| "silktime" \| None \| None \| None \| None \| None \| None \| None \| None \| silktime row 16 : 2004 \| "side show" \| None \| 66 \| None \| None \| None \| None \| None \| None \| silktime row 17 : 2006 \| "the secret garden (sweet seduction suite) \| None \| None \| None \| None \| None \| None \| None \| None \| always and forever ] Execute this SQL based on the above table: select album where single < ( select single where album = 'tonight' ) order by single desc limit 1	a low down dirty shame / silk
[ header: pos \| no \| driver \| team \| laps \| time/retired \| grid \| points row 1 : 1 \| 14 \| robert doornbos \| minardi team usa \| 107 \| 1:45:07.617 \| 15 \| 31 row 2 : 2 \| 21 \| neel jani \| pkv racing \| 107 \| +6.1 secs \| 5 \| 27 row 3 : 3 \| 3 \| oriol servia \| forsythe racing \| 107 \| +6.9 secs \| 4 \| 26 row 4 : 4 \| 5 \| will power \| team australia \| 107 \| +7.5 secs \| 12 \| 23 row 5 : 5 \| 1 \| sebastien bourdais \| n/h/l racing \| 107 \| +8.0 secs \| 2 \| 21 row 6 : 6 \| 2 \| graham rahal \| n/h/l racing \| 107 \| +9.6 secs \| 6 \| 19 row 7 : 7 \| 19 \| bruno junqueira \| dale coyne racing \| 107 \| +14.0 secs \| 10 \| 17 row 8 : 8 \| 22 \| tristan gommendy \| pkv racing \| 107 \| +19.2 secs \| 8 \| 15 row 9 : 9 \| 42 \| jan heylen \| conquest racing \| 107 \| +28.5 secs \| 13 \| 13 row 10 : 10 \| 15 \| simon pagenaud \| team australia \| 107 \| +48.4 secs \| 9 \| 11 row 11 : 11 \| 3 \| paul tracy \| forsythe championship racing \| 105 \| + 2 laps \| 11 \| 10 row 12 : 12 \| 28 \| mario dominguez \| pacific coast motorsports \| 104 \| + 3 laps \| 14 \| 12 row 13 : 13 \| 22 \| justin wilson \| rsports \| 87 \| + 20 laps \| 1 \| 8 row 14 : 14 \| 29 \| alex figge \| pacific coast motorsports \| 34 \| contact \| 0 \| 7 row 15 : 15 \| 11 \| alex tagliani \| rsports \| 83 \| mechanical \| 8 \| 6 row 16 : 16 \| 11 \| katherine legge \| dale coyne racing \| 13 \| contact \| 16 \| 5 row 17 : 17 \| 4 \| dan clarke \| minardi team usa \| 3 \| contact \| 3 \| 4 ] Execute this SQL based on the above table: select count ( driver ) where driver = 'oriol servia'	1
[ header: name of place \| number of counties \| principal county \| lower zip code row 1 : yager junction \| 1 \| humboldt county \| None row 2 : yale \| 1 \| riverside county \| 92544 row 3 : yankee hill \| 1 \| butte county \| 95965 row 4 : yankee hill \| 1 \| tuolumne county \| None row 5 : yankee jims \| 1 \| placer county \| 95713 row 6 : yarmouth \| 1 \| san joaquin county \| None row 7 : yellowjacket \| 1 \| tehama county \| None row 8 : yerba buena island \| 1 \| san francisco county \| None row 9 : yermo \| 1 \| san bernardino county \| 92398 row 10 : yettem \| 1 \| tulare county \| 93670 row 11 : ygnacio valley \| 1 \| contra costa county \| 94598 row 12 : yokohl \| 1 \| tulare county \| None row 13 : yolano \| 1 \| solano county \| 95620 row 14 : yolo \| 1 \| yolo county \| 95697 row 15 : yontocket \| 1 \| del norte county \| None row 16 : yorba \| 1 \| los angeles county \| 91767 row 17 : yorba linda \| 1 \| orange county \| 92686 row 18 : york \| 1 \| los angeles county \| 90050 row 19 : yorkville \| 1 \| mendocino county \| 95494 row 20 : yosemite forks \| 1 \| madera county \| None row 21 : yosemite junction \| 1 \| tuolumne county \| 95389 row 22 : yosemite lakes \| 1 \| madera county \| None row 23 : yosemite lakes park \| 1 \| madera county \| None row 24 : yosemite lodge \| 1 \| mariposa county \| 95389 row 25 : yosemite national park \| 3 \| madera county \| 95389 row 26 : yosemite national park \| 3 \| mariposa county \| 95389 row 27 : yosemite national park \| 3 \| tuolumne county \| 95389 row 28 : yosemite national park \| 1 \| mariposa county \| 95389 row 29 : yosemite valley \| 1 \| mariposa county \| None row 30 : yosemite village \| 1 \| mariposa county \| None row 31 : you bet \| 1 \| nevada county \| None row 32 : youngstown \| 1 \| san joaquin county \| None row 33 : yountville \| 1 \| napa county \| 94599 row 34 : yreka \| 1 \| siskiyou county \| 96097 row 35 : yreka city \| 1 \| siskiyou county \| 96097 row 36 : yuba city \| 1 \| sutter county \| 95991 row 37 : yuba city farm labor center \| 1 \| sutter county \| 95991 row 38 : yuba pass \| 1 \| nevada county \| None row 39 : yuba-sutter area \| 2 \| sutter county yuba county \| None row 40 : yucaipa \| 1 \| san bernardino county \| 92399 row 41 : yucca inn \| 1 \| san bernardino county \| None row 42 : yucca valley \| 1 \| san bernardino county \| 92284 row 43 : yurok indian reservation \| 2 \| del norte county \| 95546 ] Execute this SQL based on the above table: select name of place where principal county > ( select principal county where name of place = 'yreka' ) order by principal county limit 1	yolano
[ 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 ( select count ( playoffs ) where open cup = 'did not qualify' ) > 5	1
[ header: name \| first held \| country \| earliest attendance figure known \| 1998 attendance \| 2000 attendance \| 2002 attendance \| 2004 attendance \| 2006 attendance \| 2008 attendance \| 2010 attendance \| 2012 attendance row 1 : animefest \| 1992 \| usa \| 105 (1992) \| 650 \| 750 \| 1800 \| 2725 \| 4127 \| None \| None \| None row 2 : animeexpo \| 1992 \| usa \| 1750 (1992) \| 4883 \| 9700 \| 15250 \| 25000 \| 40647 \| 43000 \| 44000 \| 49400 row 3 : fanimecon \| 1994 \| usa \| 200 (1994) \| 1700 \| 2300 \| 4600 \| 6122 \| 10000 \| 14926 \| 16000 \| 21000 row 4 : otakon \| 1994 \| usa \| 350 (1994) \| 2500 \| 7500 \| 12880 \| 20899 \| 22302 \| 26262 \| 29274 \| 32724 row 5 : katsucon \| 1995 \| usa \| 500 (1995) \| 1400 \| 2300 \| 3000 \| 4300 \| 5664 \| 6300 \| None \| 12614 row 6 : nan desu kan \| 2000 \| usa \| None \| None \| 1477 \| 2467 \| 2859 \| 5018 \| 5975 \| None \| None row 7 : animeiowa \| 1997 \| usa \| 150 (1997) \| 300 \| 700 \| None \| None \| None \| None \| None \| None row 8 : otafest \| 1999 \| usa \| 700 (1999) \| None \| 900 \| None \| None \| None \| 4042 \| 3697 \| None row 9 : sakura-con \| 2000 \| usa \| 866(2000) \| 313 \| 866 \| 2328 \| 4425 \| 7500 \| 13600 \| 18002 \| 21457 row 10 : shoujocon \| 2000 \| usa \| 456(2000) \| 456 \| 1229 \| None \| None \| None \| None \| None \| None row 11 : j-popcon \| 2000 \| denmark \| None \| None \| 200 \| None \| None \| 1000 \| None \| 2200 \| None row 12 : sugoicon \| 2000 \| usa \| 522(2000) \| None \| 522 \| 930 \| 1333 \| 1400 \| None \| None \| None row 13 : ohayocon \| 2001 \| usa \| 654(2001) \| None \| None \| 1200 \| 3042 \| 4257 \| 7000 \| 10120 \| 40 row 14 : big apple anime fest \| 2001 \| usa \| 3500(2001) \| None \| None \| 7500 \| None \| None \| None \| None \| None row 15 : manifest \| 2001 \| australia \| 3500(2006) \| None \| None \| None \| None \| 3500 \| 4800 \| None \| None row 16 : anime detour \| 2004 \| usa \| 1200(2004) \| None \| None \| None \| 1200 \| 2464 \| 3000 \| None \| None row 17 : portconmaine \| 2002 \| usa \| 250(2002) \| None \| None \| 250 \| 811 \| 1400 \| 1650 \| 2072 \| 2306 row 18 : anime friends \| 2003 \| brazil \| 25000(2004) \| None \| None \| None \| 25000 \| 50000 \| 120000 \| None \| None row 19 : anime nebraskon \| 2004 \| usa \| None \| None \| None \| None \| 300 \| None \| None \| 2000 \| None row 20 : tsubasacon \| 2004 \| usa \| 407(2004) \| None \| None \| None \| 407 \| 564 \| 723 \| 1105 \| 1320 row 21 : kawaii kon \| 2005 \| hawaii \| 2610 (2005) \| None \| None \| None \| None \| 2610 \| 3495 \| 4877 \| 6077 row 22 : sac-anime \| 2005 \| usa \| 2000(2006) \| None \| None \| None \| None \| 2000 \| None \| None \| 5000 row 23 : youmacon \| 2005 \| usa \| 1078(2005) \| None \| None \| None \| None \| 2125 \| 4494 \| None \| 12156 row 24 : anime punch \| 2005 \| usa \| 200(2005) \| None \| None \| None \| None \| 977 \| 1337 \| 1206 \| None ] Execute this SQL based on the above table: select count ( * ) where name = '12880'	0
[ header: team \| stadium \| capacity \| seated row 1 : merthyr town \| penydarren park \| 10000 \| None row 2 : paulton rovers \| athletic field \| 5000 \| 253 row 3 : evesham united \| st george's lane \| 4749 \| None row 4 : winchester city \| the city ground \| 4500 \| 180 row 5 : clevedon town \| hand stadium \| 3500 \| 300 row 6 : cinderford town \| the causeway \| 3500 \| 250 row 7 : tiverton town \| ladysmead \| 3500 \| 520 row 8 : wimborne town \| cuthbury \| 3250 \| 275 row 9 : didcot town \| npower loop meadow stadium \| 3000 \| 150 row 10 : swindon supermarine \| the webb's wood stadium \| 3000 \| None row 11 : bridgwater town \| fairfax park \| 2500 \| 128 row 12 : hungerford town \| bulpit lane \| 2500 \| 170 row 13 : mangotsfield united \| cossham street \| 2500 \| 300 row 14 : taunton town \| wordsworth drive \| 2500 \| 300 row 15 : abingdon united \| northcourt road \| 2000 \| 158 row 16 : poole town \| tatnam \| 2000 \| 154 row 17 : north leigh \| eynsham hall park sports ground \| 2000 \| 100 row 18 : yate town \| lodge road \| 2000 \| 236 row 19 : bishop's cleeve \| kayte lane \| 1500 \| 50 row 20 : sholing \| vt group sports ground \| 1000 \| 150 row 21 : shortwood united \| the meadowbank ground \| tbc \| None row 22 : cirencester town \| corinium stadium \| tbc \| None ] Execute this SQL based on the above table: select count ( stadium ) where capacity = 2500	4
[ header: drop(s) \| multiplayer map(s) \| spec ops mission(s) \| face off map(s) \| xbox 360 release date \| playstation 3 release date row 1 : 1-2 \| liberation & piazza \| None \| None \| 24 january 2012 \| 28 february 2012 row 2 : 3 \| overwatch \| None \| None \| 21 february 2012 \| 29 march 2012 row 3 : 4-6 \| black box \| black ice & negotiator \| None \| 13 march 2012 \| 12 april 2012 row 4 : 7-8 \| sanctuary & foundation \| None \| None \| 10 april 2012 \| 10 may 2012 row 5 : 9-12 \| oasis \| iron clad & kill switch \| getaway & lookout \| 15 may 2012 \| 14 june 2012 row 6 : 13-15 \| None \| arctic recon \| vortex, u-turn & intersection \| 19 june 2012 \| 19 july 2012 row 7 : 16-18 \| decommission & offshore \| vertigo \| None \| 17 july 2012 \| 16 august 2012 row 8 : 19-21 \| None \| special delivery, light 'em up \| None \| 7 august 2012 \| 6 september 2012 row 9 : 22-24 \| parish, gulch & boardwalk \| None \| None \| 5 september 2012 \| 9 october 2012 ] Execute this SQL based on the above table: select count ( * ) where xbox 360 release date = '24 january 2012' and multiplayer map(s) = 'overwatch'	0
[ header: pos \| no \| driver \| constructor \| laps \| time/retired \| grid \| points row 1 : 1 \| 15 \| sebastian vettel \| red bull-renault \| 56 \| 1:57:43.485 \| 1 \| 10 row 2 : 2 \| 14 \| mark webber \| red bull-renault \| 56 \| 10.97 \| 3 \| 8 row 3 : 3 \| 22 \| jenson button \| brawn-mercedes \| 56 \| 44.975 \| 5 \| 6 row 4 : 4 \| 23 \| rubens barrichello \| brawn-mercedes \| 56 \| +1:03.704 \| 4 \| 5 row 5 : 5 \| 2 \| heikki kovalain \| mclaren-mercedes \| 56 \| +1:05.102 \| 12 \| 4 row 6 : 6 \| 1 \| lewis hamilton \| mclaren-mercedes \| 56 \| +1:11.866 \| 9 \| 3 row 7 : 7 \| 10 \| timo glock \| toyota \| 56 \| +1:14.476 \| 19 \| 2 row 8 : 8 \| 12 \| sebastien buemi \| toro rosso-ferr \| 56 \| +1:16.439 \| 10 \| 1 row 9 : 9 \| 7 \| fernando alonso \| renault \| 56 \| +1:24.309 \| 2 \| None row 10 : 10 \| 4 \| kimi raikkonen \| ferrari \| 56 \| +1:31.750 \| 8 \| None row 11 : 11 \| 11 \| sebastien bourdais \| toro rosso-ferr \| 56 \| +1:34.156 \| 15 \| None row 12 : 12 \| 6 \| nick heidfeld \| bmw sauber \| 56 \| +1:35.834 \| 11 \| None row 13 : 13 \| 5 \| robert kubica \| bmw sauber \| 56 \| +1:46.853 \| 17 \| None row 14 : 14 \| 21 \| giancarlo fisichella \| force india-mercedes \| 55 \| +1 lap \| 20 \| None row 15 : 15 \| 16 \| nico rosberg \| williams-toyota \| 55 \| +1 lap \| 7 \| None row 16 : 16 \| 8 \| nelson piquet, \| renault \| 54 \| +2 laps \| 16 \| None row 17 : 17 \| 20 \| adrian sutil \| force india-mercedes \| 50 \| accident \| 18 \| None row 18 : ret \| 17 \| kazuki nakajima \| williams-toyota \| 43 \| transmission \| 14 \| None row 19 : ret \| 3 \| felipe massa \| ferrari \| 20 \| electrical \| 13 \| None row 20 : ret \| 9 \| jarno trulli \| toyota \| 18 \| collision damage \| 6 \| None ] Execute this SQL based on the above table: select pos where pos in ( 4 , 13 ) order by time/retired asc limit 1	4
[ header: year \| title \| peak chart positions us air \| peak chart positions us main \| peak chart positions us mod \| album row 1 : 1990 \| "dig a hole" \| None \| None \| None \| non-album single row 2 : 1993 \| "mister love" \| None \| None \| None \| velvet row 3 : 1994 \| "mister love" \| None \| None \| None \| rubberneck row 4 : 1995 \| "possum kingdom" \| 40 \| 9 \| 4 \| rubberneck row 5 : 1995 \| "away" \| None \| 23 \| 28 \| rubberneck row 6 : 1996 \| "tyler" \| None \| None \| None \| rubberneck row 7 : 1996 \| "backslider" \| None \| None \| None \| rubberneck row 8 : 2001 \| "push the hand" \| None \| 34 \| None \| hell below/stars above row 9 : 2008 \| "no deliverance" \| None \| 38 \| None \| no deliverance row 10 : 2009 \| "song i hate" \| None \| None \| None \| no deliverance row 11 : 2012 \| "summer of the strange" \| None \| None \| None \| play.rock.music ] Execute this SQL based on the above table: select title where id = ( select id where title = '"song i hate"' ) - 1	"no deliverance"
[ header: title \| year \| channel \| role \| notes row 1 : parkinson \| 2002 \| bbc one \| herself \| performed "we will rock you" and "we row 2 : loose women \| 2007 \| itv \| elphaba \| performed "the wizard and i" row 3 : i'd do anything \| 2008 \| bbc one \| herself \| mentored potential nancys at the row 4 : royal variety performance \| 2008 \| bbc one \| herself \| performed "defying gravity" with bri row 5 : over the rainbow \| 2010 \| bbc one \| herself \| mentored potential dorothys at row 6 : big brother's little brother \| 2010 \| e4 \| herself \| interview row 7 : tonight's the night \| 2010 \| bbc one \| herself \| performed "wind beneath my wings" with contestant row 8 : this morning \| 2010 \| itv \| herself \| interview; performed "anthem" with bri row 9 : breakfast \| 2010 \| bbc one \| herself \| interview row 10 : proms in the park \| 2010 \| bbc red button \| herself \| performed "dangerland", "i'm row 11 : the wright stuff \| 2010 \| channel 5 \| herself \| special guest panelist row 12 : festival of remembrance \| 2010 \| bbc one \| herself \| performed "anthem" with brian may row 13 : only men aloud - merry \| 2010 \| s4c \| herself \| performed "somebody to love" with only men row 14 : breakfast \| 2011 \| bbc one \| herself \| interview with brian may row 15 : 2011 laurence olivier awards \| 2011 \| bbc red button \| herself \| performed "look to the rainbow" with barry row 16 : the alan titchmarsh \| 2011 \| itv \| herself \| performed "defying gravity" row 17 : fern \| 2011 \| channel 4 \| herself \| interview; performed "i love a butterfly" row 18 : the hour \| 2011 \| stv \| herself \| interview; performed "i love a butterfly" row 19 : fa community shield \| 2011 \| sky sports \| herself \| performed the british national anthem row 20 : sanremo music festival 2012 \| 2012 \| rai 1 \| herself \| performed "i (who have nothing)" and row 21 : the voice uk \| 2012 \| bbc one \| herself \| auditioned for the show's first series row 22 : foxes live: wild in the city \| 2012 \| channel 4 \| herself \| appeared in a short film about saving fox row 23 : live with \| 2012 \| channel 5 \| herself \| interview with jeff wayne row 24 : the wright stuff \| 2012 \| channel 5 \| herself \| special guest panelist row 25 : itv news london \| 2013 \| itv \| herself \| interview about tiger tracks and animal conservation with row 26 : the late late show \| 2013 \| rte one \| herself \| interview; performed "life is real" with row 27 : this morning \| 2013 \| itv \| herself \| interview; performed "born free" with bri row 28 : the alan titchmarsh \| 2013 \| itv \| herself \| interview; performed "the kissing me song" row 29 : sunday brunch \| 2013 \| channel 4 \| herself \| interview with brian may row 30 : big brother's bit on the side \| 2013 \| channel 5 \| herself \| surprise guest panelist ] Execute this SQL based on the above table: select role where role in ( 'elphaba' , 'herself' ) and channel = 'channel 5' order by role - year desc limit 1	herself
[ header: pos. \| city \| population (ab) \| surface (km2) \| density (ab/km2) \| altitude (mslm) row 1 : 1st \| bergamo \| 121.316 \| 39.6 \| 3064 \| 249 row 2 : 2nd \| treviglio \| 29.334 \| 31.54 \| 930 \| 125 row 3 : 3rd \| seriate \| 25.036 \| 12.41 \| 2017 \| 247 row 4 : 4th \| dalmine \| 23.237 \| 11.6 \| 2003 \| 207 row 5 : 5th \| romano di lombardia \| 19.472 \| 18.03 \| 1080 \| 120 row 6 : 6th \| albino \| 18.232 \| 31.32 \| 582 \| 342 row 7 : 7th \| caravaggio \| 16.258 \| 32.81 \| 496 \| 111 row 8 : 8th \| alzano lombardo \| 13.821 \| 13.43 \| 1029 \| 304 row 9 : 9th \| stezzano \| 12.999 \| 9.25 \| 1405 \| 211 row 10 : 10th \| osio sotto \| 12.083 \| 7.45 \| 1622 \| 182 ] Execute this SQL based on the above table: select city where pos. = ( select pos. where city = 'albino' ) + 1	caravaggio
[ header: # \| player \| span \| caps \| total caps \| win % row 1 : 1 \| fabien pelous \| 1997-2006 \| 42 \| 118 \| 64.28% row 2 : 2 \| raphael ibanez \| 1998-2007 \| 41 \| 98 \| 63.41% row 3 : 3 \| jean-pierre rives \| 1978-1984 \| 34 \| 59 \| 55.88% row 4 : 3 \| philippe saint-andre \| 1994-1997 \| 34 \| 69 \| 73.53% row 5 : 5 \| thierry dusautoir \| 2009- \| 31 \| 54 \| 54.84% row 6 : 6 \| daniel dubroca \| 1986-1988 \| 11 \| 33 \| 72.00% row 7 : 6 \| fabien galthie \| 1999-2003 \| 11 \| 64 \| 64.00% row 8 : 8 \| guy basquet \| 1948-1952 \| 11 \| 33 \| 50.00% row 9 : 9 \| michel crauste \| 1961-1966 \| 11 \| 63 \| 68.18% row 10 : 10 \| jacques fouroux \| 1974-1977 \| 11 \| 27 \| 66.67% ] Execute this SQL based on the above table: select count ( win % ) where total caps > 1871	0
[ header: date \| championship \| location \| category \| surface \| prev. result \| prev. points \| new points \| outcome row 1 : 29 december 2013- 5 janu \| brisbane international \| brisbane (aus) \| wta premier \| hard \| sf \| 200 \| 305 \| final lost to serena williams row 2 : 14 january 2014- 27 jan \| australian open \| melbourne (aus) \| grand slam \| hard \| w \| 2000 \| 430 \| quarter-finals lost to agnies row 3 : 10 february 2014- 16 february \| qatar total open \| doha (qat) \| wta premier 5 \| hard \| w \| 900 \| 0 \| withdrew due to left foot injury row 4 : 3 march 2014- 16 march 2014 \| indian wells \| indian wells (usa) \| wta premier mandatory \| hard \| qf \| 250 \| 45 \| second round lost to lauren davis row 5 : 17 march 2013- 30 march 2014 \| sony open tennis \| miami (usa) \| wta premier mandatory \| hard \| dnp \| 0 \| 0 \| withdrew due to left foot injury row 6 : 5 may 2014- 11 may 2014 \| mutua madrid masters \| madrid (esp) \| wta premier mandatory \| clay \| 2r \| 60 \| None \| pending row 7 : 12 may 2014- 18 may 2014 \| internazionali bnl \| rome (ita) \| wta premier 5 \| clay \| f \| 700 \| None \| pending row 8 : 25 may 2014- 8 june 2014 \| french open \| paris (fra) \| grand slam \| clay \| sf \| 900 \| None \| pending row 9 : 23 june 2014- 6 july \| wimbledon \| london (gbr) \| grand slam \| grass \| 2r \| 100 \| None \| pending row 10 : 4 august 2014- 10 august 2014 \| rogers cup \| toronto (can) \| wta premier 5 \| hard \| dnp \| 0 \| None \| pending row 11 : 11 august 2014- 17 august 2014 \| western and southern open \| cincinnati (usa) \| wta premier 5 \| hard \| w \| 900 \| None \| pending row 12 : 25 august 2014- 8 september 2014 \| us open \| new york (usa) \| grand slam \| hard \| f \| 1400 \| None \| pending row 13 : 22 september 2014- 27 september 2014 \| toray pan pacific open \| wuhan (chn) \| wta premier 5 \| hard \| 2r \| 60 \| None \| pending row 14 : 27 september 2014- 5 octo \| china open \| beijing (chn) \| wta premier mandatory \| hard \| 1r \| 5 \| None \| pending row 15 : 20 october 2013- 26 \| wta tour championships \| singapore (sin) \| wta tour championships \| hard (i) \| rr \| 400 \| None \| pending ] Execute this SQL based on the above table: select surface where surface in ( 'hard' , 'clay' ) and outcome = 'pending'	clay, clay, clay, hard, hard, hard, hard, hard
[ header: year \| position (after finals) \| coach \| captain \| best & fairest \| leading goalkicker (goals) row 1 : 1997 \| 9 \| john cahill \| gavin wanganeen \| darren mead \| scott cummings (70) row 2 : 1998 \| 10 \| john cahill \| gavin wanganeen \| adam kingsley \| warren tredrea (33) row 3 : 1999 \| 7 (7) \| mark williams \| gavin wanganeen \| stephen paxman \| warren tredrea (40) row 4 : 2000 \| 14 \| mark williams \| gavin wanganeen \| brett montgomery \| warren tredrea (32) row 5 : 2001 \| 3 (5) \| mark williams \| matthew primus \| warren tredrea \| warren tredrea (51) row 6 : 2002 \| 1 (3) \| mark williams \| matthew primus \| matthew primus \| stuart dew (51) row 7 : 2003 \| 1 (4) \| mark williams \| matthew primus \| gavin wanganeen \| warren tredrea (58) row 8 : 2004 \| 1 (premiers) \| mark williams \| matthew primus warren tred \| warren tredrea \| warren tredrea (81) row 9 : 2005 \| 8 (6) \| mark williams \| matthew primus \| warren tredrea \| warren tredrea (65) row 10 : 2006 \| 12 \| mark williams \| warren tredrea \| brendon lade \| josh mahoney (29) row 11 : 2007 \| 2 (grand finalist) \| mark williams \| warren tredrea \| kane cornes \| brett ebert (56) row 12 : 2008 \| 13 \| mark williams \| warren tredrea \| kane cornes \| daniel motlop (57) row 13 : 2009 \| 10 \| mark williams \| domenic cassisi \| warren tredrea \| warren tredrea (51) row 14 : 2010 \| 10 \| mark williams matthew primus \| domenic cassisi \| kane cornes \| jay schulz (33) row 15 : 2011 \| 16 \| matthew primus \| domenic cassisi \| travis boak jackson trengov \| robert gray (32) row 16 : 2012 \| 14 \| matthew primus garry hocking \| domenic cassisi \| kane cornes \| jay schulz (42) row 17 : 2013 \| 7 (5) \| ken hinkley \| travis boak \| chad wingard \| jay schulz (49) row 18 : 2014 \| None \| ken hinkley \| travis boak \| None \| None ] Execute this SQL based on the above table: select captain where captain = 'warren tredrea' order by captain limit 1	warren tredrea
[ header: medal \| name \| sport \| event row 1 : silver \| None \| badminton \| men's team row 2 : silver \| aparna popat \| badminton \| women's singles row 3 : silver \| jitender kumar \| boxing \| middleweight row 4 : silver \| jaspal rana \| shooting \| men's 25 m air pistol row 5 : silver \| jaspal rana satendra \| shooting \| men's air pistol pairs row 6 : silver \| dharmaraj wilson \| weightlifting \| men's 56 kg-combined row 7 : silver \| arumugam k. pandian \| weightlifting \| men's 56 kg-snatch row 8 : silver \| arumugam k. pandian \| weightlifting \| men's 56 kg-clean and jer row 9 : silver \| satheesha rai \| weightlifting \| men's 77 kg-clean and row 10 : silver \| satheesha rai \| weightlifting \| men's 77 kg-combined ] Execute this SQL based on the above table: select count ( * ) where sport = 'badminton'	2
[ header: year \| show \| role \| channel \| notes row 1 : 2004 \| mtv roadies season 2 \| contestant \| mtv india \| winner of mtv roadies season 2 row 2 : 2007 \| kayamath \| saket shergil \| star plus \| None row 3 : 2008 \| pepsi mtv wass \| video jockey \| mtv india \| co-hosted the show with mt row 4 : 2008 \| mtv fully faltoo movie- \| fakir lan \| mtv \| spoof of shahrukh row 5 : 2008 \| mtv fully faltoo movie- \| prince jalebi \| mtv \| spoof of the movie jodha row 6 : 2008 \| mtv roadies hell down under \| anchor \| mtv india \| anchor at the auditions only row 7 : 2008 \| ek thi rajkumari \| antagonist \| zee next \| antagonist row 8 : 2008-09 \| fantastic 5 \| video jockey \| mtv india \| None row 9 : 2009 \| india's got talent season 1 \| anchor \| colors tv \| co-hosted the show with nikh row 10 : 2009 \| kurkure desi beats rock on \| anchor \| mtv india \| anchor at the auditions only row 11 : 2008 \| mtv roadies season 7 \| anchor \| mtv india \| anchor at the auditions only row 12 : 2009 \| stripped \| anchor \| mtv india \| None row 13 : 2009 \| amul music ka maha muqq \| anchor \| star plus \| None row 14 : 2010 \| extra innings t20 for indian premier league \| presenter \| set max \| co-hosted the show with gaurav row 15 : 2010 \| india's got talent season 2 \| anchor \| colors tv \| co-hosted the show with nikh row 16 : 2010 \| kurkure desi beats rock on \| anchor \| mtv india \| co-hosted the show with lis row 17 : 2010 - present \| airtel super star buzz \| anchor \| star plus \| None row 18 : 2011 \| mtv grind \| anchor \| mtv india \| None row 19 : 2011 \| mtv roadies season 8 graveyard \| anchor \| mtv india \| None row 20 : 2011 \| just dance \| anchor \| star plus \| winner, indian television academy award for best anchor ] Execute this SQL based on the above table: select channel where show = 'amul music ka maha muqqabla'	star plus
[ header: pos \| no \| driver \| constructor \| laps \| time/retired \| grid \| points row 1 : 1 \| 3 \| michael schumacher \| ferrari \| 71 \| 1:34:45.026 \| 2 \| 10 row 2 : 2 \| 4 \| eddie irvine \| ferrari \| 71 \| 19.575 \| 4 \| 6 row 3 : 3 \| 8 \| mika hakkinen \| mclaren-mercedes \| 71 \| 19.747 \| 1 \| 4 row 4 : 4 \| 1 \| jacques villeneuve \| williams-mecachrome \| 71 \| +1:06.965 \| 5 \| 3 row 5 : 5 \| 6 \| alexander wurz \| benetton-playlife \| 70 \| +1 lap \| 10 \| 2 row 6 : 6 \| 7 \| david coulthard \| mclaren-mercedes \| 70 \| +1 lap \| 3 \| 1 row 7 : 7 \| 14 \| jean alesi \| sauber-petronas \| 70 \| +1 lap \| 11 \| None row 8 : 8 \| 15 \| johnny herbert \| sauber-petronas \| 70 \| +1 lap \| 13 \| None row 9 : 9 \| 5 \| giancarlo fisichella \| benetton-playlife \| 70 \| +1 lap \| 9 \| None row 10 : 10 \| 18 \| rubens barrichello \| stewart-ford \| 69 \| +2 laps \| 14 \| None row 11 : 11 \| 11 \| olivier panis \| prost-peugeot \| 69 \| +2 laps \| 16 \| None row 12 : 12 \| 19 \| jos verstappen \| stewart-ford \| 69 \| +2 laps \| 15 \| None row 13 : 13 \| 17 \| mika salo \| arrows \| 69 \| +2 laps \| 19 \| None row 14 : 14 \| 16 \| pedro diniz \| arrows \| 69 \| +2 laps \| 17 \| None row 15 : 15 \| 2 \| heinz-harald frent \| williams-mecachrome \| 68 \| suspension \| 8 \| None row 16 : 16 \| 10 \| ralf schumacher \| jordan-mugen-honda \| 68 \| +3 laps \| 6 \| None row 17 : 17 \| 22 \| shinji nakano \| minardi-ford \| 65 \| engine \| 21 \| None row 18 : ret \| 21 \| toranosuke takagi \| tyrrell-ford \| 60 \| engine \| 20 \| None row 19 : ret \| 12 \| jarno trulli \| prost-peugeot \| 55 \| spun off \| 12 \| None row 20 : ret \| 23 \| esteban tuero \| minardi-ford \| 41 \| gearbox \| 22 \| None row 21 : ret \| 9 \| damon hill \| jordan-mugen-honda \| 19 \| hydraulics \| 7 \| None row 22 : ret \| 20 \| ricardo rosset \| tyrrell-ford \| 16 \| hydraulics \| 18 \| None ] Execute this SQL based on the above table: select count ( constructor ) where no < 11 and no > 731	0
[ header: poll source \| date(s) administered \| sample size \| margin of error \| andrew cuomo (d) \| rob astorino (r) \| other \| undecided row 1 : siena \| march 16-20, 2014 \| 813 \| ± 3.4% \| 61% \| 26% \| None \| 13% row 2 : marist \| february 28-march 3, 2014 \| 658 \| ± 3.8% \| 65% \| 25% \| None \| 10% row 3 : quinnipiac \| february 6-10, 2014 \| 1488 \| ± 2.5% \| 58% \| 24% \| 2% \| 16% row 4 : siena \| january 12-16, 2014 \| 808 \| ± 3.4% \| 67% \| 19% \| 3% \| 11% row 5 : quinnipiac \| november 20-24, 2013 \| 1337 \| ± 2.7% \| 56% \| 25% \| 2% \| 17% row 6 : marist \| november 18-20, 2013 \| 675 \| ± 3.8% \| 65% \| 23% \| None \| 12% row 7 : siena \| november 11-14, 2013 \| 806 \| ± 3.5% \| 63% \| 24% \| None \| 13% ] Execute this SQL based on the above table: select margin of error where margin of error = '± 3.4%'	± 3.4%, ± 3.4%
[ header: from \| to \| name \| party \| position row 1 : 1870 \| 1897 \| eugene bernain \| None \| None row 2 : 1897 \| None \| albert le barillier \| None \| None row 3 : 1935 \| 1937 \| daubin \| None \| doctor row 4 : 1937 \| 1941 \| francois dommain \| radical \| None row 5 : 1971 \| 1993 \| victor mendiboure \| udf \| None row 6 : 1993 \| 1999 \| michel bonnet \| udf \| None row 7 : 1999 \| 2001 \| alain lamassoure \| udf \| vice president of the udf advisor to row 8 : 2001 \| 2008 \| robert villenave \| udf ps \| vice-president of cabab vice-p ] Execute this SQL based on the above table: select name where from > 1024	eugene bernain, albert le barillier, daubin, francois dommain, victor mendiboure, michel bonnet, alain lamassoure, robert villenave
[ header: new municipality \| old municipalities \| seat row 1 : gortynia \| dimitsana \| dimitsana row 2 : gortynia \| vytina \| dimitsana row 3 : gortynia \| iraia \| dimitsana row 4 : gortynia \| kleitor \| dimitsana row 5 : gortynia \| kontovazaina \| dimitsana row 6 : gortynia \| langadia \| dimitsana row 7 : gortynia \| trikolonoi \| dimitsana row 8 : gortynia \| tropaia \| dimitsana row 9 : megalopoli \| gortyna \| megalopoli row 10 : megalopoli \| falaisia \| megalopoli row 11 : north kynouria (vore \| north kynouria \| astros row 12 : south kynouria (noti \| leonidio \| leonidio row 13 : south kynouria (noti \| kosmas \| leonidio row 14 : south kynouria (noti \| tyros \| leonidio row 15 : tripoli \| valtetsi \| tripoli row 16 : tripoli \| korythio \| tripoli row 17 : tripoli \| levidi \| tripoli row 18 : tripoli \| mantineia \| tripoli row 19 : tripoli \| skyritida \| tripoli row 20 : tripoli \| tegea \| tripoli row 21 : tripoli \| falanthos \| tripoli ] Execute this SQL based on the above table: select old municipalities where id = 5	kontovazaina
[ header: state \| type \| name \| title \| royal house \| from \| to row 1 : chu \| sovereign \| huai \| king \| mi \| 328 bc \| 299 bc row 2 : han \| sovereign \| xiang \| marquis \| None \| 311 bc \| 296 bc row 3 : lu \| sovereign \| wen ii \| duke \| ji \| 302 bc \| 280 bc row 4 : qi \| sovereign \| min \| king \| tian \| 300 bc \| 284 bc row 5 : qin \| sovereign \| zhaoxiang \| king \| ying \| 306 bc \| 251 bc row 6 : song \| sovereign \| kang \| king \| None \| 328 bc \| 286 bc row 7 : wei \| sovereign \| xiang \| king \| None \| 318 bc \| 296 bc row 8 : wey \| sovereign \| si jun \| marquis \| None \| 334 bc \| 293 bc row 9 : yan \| sovereign \| zhao \| king \| None \| 311 bc \| 279 bc row 10 : zhao \| sovereign \| wuling \| king \| None \| 325 bc \| 299 bc ] Execute this SQL based on the above table: select royal house where id = ( select id where royal house = 'ji' order by id desc limit 1 ) + 1	tian
[ header: year \| winners \| score \| score \| runners-up \| venue \| winning captain row 1 : 2000 \| meath \| 5-14 (29) \| 2-10 (16) \| carlow \| cusack park \| None row 2 : 2001 \| kerry \| 4-14 (22) \| 3-10 (19) \| westmeath \| croke park \| michael 'boxer' row 3 : 2002 \| laois \| 1-20 (23) \| 2-14 (20) \| antrim \| semple stadium \| john lyons row 4 : 2003 \| antrim \| 3-18 (27) \| 3-12 (21) \| kerry \| croke park \| None row 5 : 2004 \| down \| 5-15 (30) \| 3-7 (16) \| westmeath \| gaelic grounds \| simon wilson row 6 : 2005 \| offaly \| 6-21 (39) \| 4-7 (19) \| carlow \| semple stadium \| barry teehan row 7 : 2006 \| dublin \| 0-16 (16) \| 1-6 (9) \| kerry \| semple stadium \| philip brennan row 8 : 2007 \| laois \| 2-19 (25) \| 0-8 (8) \| wicklow \| semple stadium \| joe fitzpatrick row 9 : 2008 \| westmeath \| 2-12 (18) \| 0-12 (12) \| carlow \| gaelic grounds \| brendan murtagh row 10 : 2009 \| offaly \| 1-13 (16) \| 0-13 (13) \| wexford \| semple stadium \| ger oakley row 11 : 2010 \| wexford \| 1-16 (19) \| 2-9 (15) \| clare \| semple stadium \| diarmuid lyng row 12 : 2011 \| limerick \| 4-12 (24) \| 2-13 (19) \| clare \| cusack park \| gavin o'mahony row 13 : 2012 \| clare \| 0-21 (21) \| 1-16 (19) \| limerick \| gaelic grounds \| patrick donnellan row 14 : 2013 \| dublin \| 1-16 (19) \| 1-15 (18) \| limerick \| semple stadium \| tbc ] Execute this SQL based on the above table: select winning captain where year = 2007	joe fitzpatrick
[ 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 count ( central division v t e ) where pct > '0.5'	1
[ header: # \| air date \| timeslot (est) \| season \| rating \| share \| 18-49 (rating/share) \| viewers (m) \| weekly rank (#) row 1 : 1 \| march 2, 2008 \| sunday 9:00 p.m \| 2007-2008 \| 9.4 \| 14 \| 5.3/12 \| 15.55 \| 4 row 2 : 2 \| march 9, 2008 \| sunday 9:00 p.m \| 2007-2008 \| 7.4 \| 11 \| 4.1/10 \| 11.83 \| 10 row 3 : 3 \| march 16, 2008 \| sunday 9:00 p.m \| 2007-2008 \| 6 \| 9 \| 3.6/9 \| 9.71 \| 18 row 4 : 4 \| march 23, 2008 \| sunday 9:00 p.m \| 2007-2008 \| 6.1 \| 10 \| 3.5/9 \| 9.92 \| 19 row 5 : 5 \| march 30, 2008 \| sunday 9:00 p.m \| 2007-2008 \| 7.1 \| 11 \| 3.9/9 \| 11.35 \| 13 row 6 : 6 \| april 6, 2008 \| sunday 9:00 p.m \| 2007-2008 \| 5.9 \| 9 \| 3.2/8 \| 9.42 \| 27 row 7 : 7 \| april 13, 2008 \| sunday 8:00 p.m \| 2007-2008 \| 5.6 \| 9 \| 2.9/9 \| 8.88 \| 19 row 8 : 8 \| april 20, 2008 \| sunday 8:00 p.m \| 2007-2008 \| 6.4 \| 10 \| 3.2/9 \| 10.03 \| None ] Execute this SQL based on the above table: select air date order by 18-49 (rating/share) desc limit 1	march 2, 2008
[ header: year \| player \| position \| high school \| college row 1 : 1987 \| buster howe \| rb-db-k-p \| zanesville \| ohio state row 2 : 1988 \| robert smith \| rb \| euclid \| ohio state row 3 : 1989 \| robert smith \| rb \| euclid \| ohio state row 4 : 1990 \| bobby hoying \| qb \| st. henry \| ohio state row 5 : 1991 \| derek kidwell \| qb-de \| fostoria \| bowling green row 6 : 1992 \| marc edwards \| rb-lb \| norwood \| notre dame row 7 : 1993 \| curtis enis \| rb-lb \| mississinawa valley \| penn state row 8 : 1994 \| charles woodson \| db-rb \| fremont ross \| michigan row 9 : 1995 \| andy katzenmoyer \| lb \| westerville south \| ohio state row 10 : 1996 \| derek combs \| rb-db-kr \| grove city \| ohio state row 11 : 1997 \| tony fisher \| rb \| euclid \| notre dame row 12 : 1998 \| ryan brewer \| rb \| troy \| south carolina row 13 : 1999 \| bam childress \| db-wr-kr \| st. peter chanel \| ohio state row 14 : 2000 \| jeff backes \| rb-db \| upper arlington \| northwestern row 15 : 2001 \| maurice clarett \| rb \| warren g. harding \| ohio state row 16 : 2002 \| ben mauk \| qb \| kenton \| wake forest cincinnati row 17 : 2003 \| ray williams \| rb \| cleveland benedictine \| west virginia row 18 : 2004 \| tyrell sutton \| rb \| archbishop hoban \| northwestern row 19 : 2005 \| delone carter \| rb \| copley \| syracuse row 20 : 2006 \| brandon saine \| rb \| piqua \| ohio state row 21 : 2007 \| bart tanski \| qb \| mentor \| bowling green row 22 : 2008 \| erick howard \| rb \| north canton hoover \| akron row 23 : 2009 \| erick howard \| rb \| north canton hoover \| akron row 24 : 2010 \| akise teague \| rb-db-kr \| youngstown ursuline \| cincinnati row 25 : 2011 \| maty mauk \| qb \| kenton \| missouri row 26 : 2012 \| mitch trubisky \| qb \| mentor \| north carolina row 27 : 2013 \| dante booker jr \| lb \| st. vincent - s \| ohio state ] Execute this SQL based on the above table: select high school where high school = 'youngstown ursuline' order by high school limit 467	youngstown ursuline
[ header: season \| tier \| division \| pos. \| notes row 1 : 2002-03 \| 3 \| 1a estatal \| 9th \| None row 2 : 2003-04 \| 3 \| 1a estatal \| 3rd \| None row 3 : 2004-05 \| 3 \| 1a estatal \| 3rd \| None row 4 : 2005-06 \| 3 \| 1a estatal \| 2nd \| promoted row 5 : 2006-07 \| 2 \| honor b \| 10th \| None row 6 : 2007-08 \| 2 \| honor b \| 11th \| None row 7 : 2008-09 \| 2 \| honor b \| 11th \| None row 8 : 2009-10 \| 2 \| plata \| 5th \| None row 9 : 2010-11 \| 2 \| plata \| 9th \| None row 10 : 2011-12 \| 2 \| plata \| 2nd \| promoted row 11 : 2012-13 \| 1 \| asobal \| 16th \| relegated row 12 : 2013-14 \| 2 \| plata \| None \| None ] Execute this SQL based on the above table: select pos. order by tier desc limit 1	9th
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 10 october 2004 \| estadio cuscatlan, \| el salvador \| 2-0 \| 2-0 \| 2006 fifa world cup qualification row 2 : 2 \| 13 october 2004 \| rfk stadium, washington, \| panama \| 3-0 \| 6-0 \| 2006 fifa world cup qualification row 3 : 3 \| 13 october 2004 \| rfk stadium, washington, \| panama \| 4-0 \| 6-0 \| 2006 fifa world cup qualification row 4 : 4 \| 13 october 2004 \| rfk stadium, washington, \| panama \| 5-0 \| 6-0 \| 2006 fifa world cup qualification row 5 : 5 \| 17 november 2004 \| columbus crew stadium, columbus, \| jamaica \| 1-0 \| 1-1 \| 2006 fifa world cup qualification row 6 : 6 \| 9 february 2005 \| queen's park oval, port of spain \| trinidad and tobago \| 1-0 \| 2-1 \| 2006 fifa world cup qualification row 7 : 7 \| 19 march 2005 \| university stadium, albuquerque, united \| honduras \| 1-0 \| 1-0 \| friendly row 8 : 8 \| 30 march 2005 \| legion field, birmingham, united \| guatemala \| 1-0 \| 2-0 \| 2006 fifa world cup qualification row 9 : 9 \| 19 february 2006 \| pizza hut park, frisco, united states \| guatemala \| 3-0 \| 4-0 \| friendly row 10 : 10 \| 9 june 2007 \| the home depot center, carson, united states \| trinidad and tobago \| 2-0 \| 2-0 \| 2007 concacaf gold cup row 11 : 11 \| 28 june 2007 \| estadio jose pachencho \| argentina \| 1-0 \| 1-4 \| 2007 copa america row 12 : 12 \| 15 june 2008 \| the home depot center, carson, united states \| barbados \| 6-0 \| 8-0 \| 2010 fifa world cup qualification row 13 : 13 \| 12 october 2012 \| sir vivian richards stadium \| antigua and barbuda \| 1-0 \| 2-1 \| 2014 fifa world cup qualification row 14 : 14 \| 12 october 2012 \| sir vivian richards stadium \| antigua and barbuda \| 2-1 \| 2-1 \| 2014 fifa world cup qualification row 15 : 15 \| 12 june 2013 \| centurylink field, seattle, united states \| panama \| 2-0 \| 2-0 \| 2014 fifa world cup qualification row 16 : 16 \| 21 july 2013 \| m&t bank stadium, balti \| el salvador \| 3-1 \| 5-1 \| 2013 concacaf gold cup row 17 : 17 \| 24 july 2013 \| cowboys stadium, arlington, united \| honduras \| 1-0 \| 3-1 \| 2013 concacaf gold cup row 18 : 18 \| 14 august 2013 \| asim ferhatovic hase stadium, \| bosnia and herzegovin \| 1-2 \| 4-3 \| friendly row 19 : 19 \| 10 september 2013 \| columbus crew stadium, columbus, \| mexico \| 1-0 \| 2-0 \| 2014 fifa world cup qualification ] Execute this SQL based on the above table: select opponent where # = ( select # where opponent = 'honduras' ) + 1	guatemala
[ header: kilometers \| name \| location \| intersecting routes row 1 : 0 \| netanya mall \| netanya \| petah tikva street, r row 2 : 0.6 \| netanya interchange \| netanya \| highway 2 row 3 : 0.75 \| harakevet road \| netanya \| entrance to netanya railway station row 4 : 1.45 \| pinkas street \| netanya \| pinkas street row 5 : 2.2 \| deganya road \| netanya \| deganya road row 6 : 2.8 \| beit yitzhak \| beit yitzhak \| hasharon road row 7 : 3.8 \| ganot hadar \| ganot hadar \| entrance to ganot hadar and nordiy row 8 : 4.3 \| hasharon junction ("beit lid") \| ganot hadar \| highway 4 row 9 : 6.2 \| rabin boulevard \| kfar yona \| entrance to kfar yona row 10 : 7.3 \| begin boulevard \| kfar yona \| entrance to kfar yona row 11 : 7.7 \| ha'atzmaut street \| haniel \| entrance to haniel row 12 : 9.3 \| yanuv junction \| yanuv \| route 5613, entrance to yanu row 13 : 10 \| haerez way \| tnuvot industrial zone \| entrance to tnuvot and row 14 : 12 \| be'erotayim junction \| hagor \| entrance to be'erotayim and row 15 : 13.2 \| nitzanei oz junction \| nitzanei oz \| route 5714, entrance to nitz row 16 : 14.5 \| nitzanei oz interchange \| nitzanei oz \| highway 6 row 17 : 15 \| idf checkpoint \| tulkarm \| entrance to nitzanei s ] Execute this SQL based on the above table: select name group by name order by count ( * ) desc limit 1	yanuv junction
[ 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 attendance - attendance + 1 where record = '6-10'	1.0
[ header: # \| date \| film \| gross \| notes row 1 : 2 \| january 13, 2002 \| the lord of the rings: the fellowship \| $16,201,260 \| None row 2 : 3 \| january 20, 2002 \| black hawk down \| $28,611,736 \| black hawk down broke save the last dance' row 3 : 5 \| february 3, 2002 \| black hawk down \| $11,112,555 \| None row 4 : 8 \| february 24, 2002 \| queen of the damned \| $14,757,535 \| None row 5 : 11 \| march 17, 2002 \| ice age \| $46,312,454 \| ice age broke liar l row 6 : 13 \| march 31, 2002 \| panic room \| $30,056,751 \| None row 7 : 14 \| april 7, 2002 \| panic room \| $18,244,157 \| None row 8 : 15 \| april 14, 2002 \| changing lanes \| $17,128,062 \| None row 9 : 24 \| june 16, 2002 \| scooby-doo \| $54,155,312 \| None row 10 : 26 \| june 30, 2002 \| mr. deeds \| $37,162,787 \| None row 11 : 28 \| july 14, 2002 \| men in black ii \| $24,410,311 \| None row 12 : 29 \| july 21, 2002 \| road to perdition \| $15,412,515 \| road to perdition reached #1 in its second weekend row 13 : 32 \| august 11, 2002 \| xxx \| $44,506,103 \| None row 14 : 33 \| august 18, 2002 \| xxx \| $22,111,421 \| None row 15 : 35 \| september 1, 2002 \| signs \| $13,441,194 \| None row 16 : 37 \| september 15, 2002 \| barbershop \| $20,627,433 \| None row 17 : 39 \| september 29, 2002 \| sweet home alabama \| $35,648,740 \| sweet home alabama broke rush hour row 18 : 43 \| october 27, 2002 \| jackass: the movie \| $22,763,437 \| None row 19 : 45 \| november 10, 2002 \| 8 mile \| $51,240,555 \| None row 20 : 47 \| november 24, 2002 \| die another day \| $47,072,040 \| None row 21 : 48 \| december 1, 2002 \| harry potter and the chamber of secrets \| $32,117,496 \| harry potter and the chamber of secrets ] Execute this SQL based on the above table: select date where # = 5	february 3, 2002
[ header: constituency \| region \| name \| party \| last elected row 1 : 1 \| arica and parinacota tarapac \| fulvio rossi \| ps \| 2009 row 2 : 2 \| antofagasta \| carlos cantero ojeda \| ind \| 2005 row 3 : 2 \| antofagasta \| jose antonio gomez \| prsd \| 2005 row 4 : 3 \| atacama \| isabel allende \| ps \| 2009 row 5 : 4 \| coquimbo \| gonzalo uriarte \| udi \| 2005 row 6 : 5 \| valparaiso \| ignacio walker \| pdc \| 2009 row 7 : 5 \| valparaiso \| lily perez \| rn \| 2009 row 8 : 6 \| valparaiso \| ricardo l. weber \| ppd \| 2009 row 9 : 6 \| valparaiso \| francisco chahuan \| rn \| 2009 row 10 : 7 \| santiago \| jovino novoa vasque \| udi \| 2005 row 11 : 8 \| santiago \| soledad alvear valenzue \| pdc \| 2005 row 12 : 9 \| o'higgins \| alejandro garcia-huidobro \| udi \| 2005 row 13 : 9 \| o'higgins \| juan pablo letelier morel \| ps \| 2005 row 14 : 10 \| maule \| ximena rincon \| pdc \| 2009 row 15 : 10 \| maule \| juan antonio colo \| udi \| 2009 row 16 : 11 \| maule \| hernan larrain fernandez \| udi \| 2009 row 17 : 12 \| biobio \| hosain sabag castill \| pdc \| 2005 row 18 : 13 \| biobio \| mariano ruiz-es \| pdc \| 2005 row 19 : 14 \| araucania \| jaime quintana \| ppd \| 2009 row 20 : 14 \| araucania \| alberto espina otero \| rn \| 2009 row 21 : 15 \| araucania \| eugenio tuma \| ppd \| 2009 row 22 : 15 \| araucania \| jose garcia ruminot \| rn \| 2009 row 23 : 16 \| los rios (plus district 55) \| carlos larrain pena \| rn \| 2005 row 24 : 16 \| los rios (plus district 55) \| eduardo frei rui \| pdc \| 2005 row 25 : 17 \| los lagos (minus district 55) \| camilo escalona medin \| ps \| 2005 row 26 : 17 \| los lagos (minus district 55) \| carlos kuschel silva \| rn \| 2005 row 27 : 18 \| aisen \| patricio walker \| pdc \| 2009 row 28 : 18 \| aisen \| antonio horvath \| rn \| 2001 row 29 : 19 \| magallanes \| carlos bianchi chelech (vic \| ind \| 2005 row 30 : 19 \| magallanes \| pedro munoz abur \| ps \| 2005 ] Execute this SQL based on the above table: select max ( constituency )	19.0
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| south korea \| 9 \| 2 \| 1 \| 12 row 2 : 2 \| chinese taipei \| 2 \| 3 \| 3 \| 8 row 3 : 3 \| spain \| 1 \| 5 \| 4 \| 10 row 4 : 4 \| united states \| 1 \| 2 \| 7 \| 10 row 5 : 5 \| turkey \| 1 \| 1 \| 2 \| 4 row 6 : 6 \| west germany \| 1 \| 0 \| 3 \| 4 row 7 : 7 \| netherlands \| 1 \| 0 \| 1 \| 2 row 8 : 8 \| mexico \| 0 \| 2 \| 1 \| 3 row 9 : 9 \| indonesia \| 0 \| 1 \| 0 \| 1 row 10 : 10 \| france \| 0 \| 0 \| 2 \| 2 row 11 : 11 \| australia \| 0 \| 0 \| 1 \| 1 row 12 : 11 \| canada \| 0 \| 0 \| 1 \| 1 row 13 : 11 \| ivory coast \| 0 \| 0 \| 1 \| 1 row 14 : 11 \| denmark \| 0 \| 0 \| 1 \| 1 row 15 : 11 \| italy \| 0 \| 0 \| 1 \| 1 row 16 : 11 \| jordan \| 0 \| 0 \| 1 \| 1 row 17 : 11 \| nepal \| 0 \| 0 \| 1 \| 1 row 18 : 11 \| switzerland \| 0 \| 0 \| 1 \| 1 row 19 : total \| total \| 16 \| 16 \| 32 \| 64 ] Execute this SQL based on the above table: select abs ( ( select bronze where nation = 'turkey' ) - ( select bronze where nation = 'mexico' ) )	1.0
[ 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 place where id = 1	5th
[ header: outcome \| no. \| date \| tournament \| surface \| opponent \| score row 1 : runner-up \| 1 \| 1 august 2011 \| sao paulo, brazi \| clay \| maria fernanda alves \| 6-4, 5-7, 3-6 row 2 : winner \| 1 \| 24 october 2011 \| goiania, brazil \| clay \| barbara luz \| 6-2, 6-0 row 3 : winner \| 2 \| 2 april 2012 \| ribeirao preto, brazil \| hard \| natasha fourouclas \| 6-0, 6-1 row 4 : winner \| 3 \| 25 march 2013 \| ribeirao preto, brazil \| clay \| andrea benitez \| 7-6(7-2), 6-2 row 5 : winner \| 4 \| 15 april 2013 \| antalya 15, turkey \| hard \| tereza martincova \| 6-4, 6-3 row 6 : runner-up \| 2 \| 20 may 2013 \| caserta, italy \| clay \| renata voracova \| 4-6, 1-6 row 7 : runner-up \| 3 \| 17 june 2013 \| lenzerheide, switze \| clay \| laura siegemund \| 2-6, 3-6 ] Execute this SQL based on the above table: select count ( surface ) where surface = 'hard'	2
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| china \| 41 \| 27 \| 13 \| 81 row 2 : 2 \| russia \| 26 \| 22 \| 34 \| 82 row 3 : 3 \| south korea \| 26 \| 12 \| 17 \| 55 row 4 : 4 \| ukraine \| 23 \| 15 \| 17 \| 55 row 5 : 5 \| japan \| 13 \| 13 \| 21 \| 47 row 6 : 6 \| france \| 8 \| 8 \| 4 \| 20 row 7 : 7 \| great britain \| 8 \| 3 \| 6 \| 17 row 8 : 8 \| united states \| 5 \| 13 \| 18 \| 36 row 9 : 9 \| north korea \| 3 \| 8 \| 3 \| 14 row 10 : 10 \| poland \| 3 \| 4 \| 3 \| 10 row 11 : 11 \| chinese taipei \| 3 \| 3 \| 5 \| 11 row 12 : 12 \| belarus \| 3 \| 3 \| 4 \| 10 row 13 : 13 \| germany \| 3 \| 2 \| 8 \| 13 row 14 : 14 \| hungary \| 3 \| 2 \| 7 \| 12 row 15 : 15 \| czech republic \| 3 \| 0 \| 3 \| 6 row 16 : 16 \| australia \| 2 \| 5 \| 5 \| 12 row 17 : 17 \| italy \| 2 \| 5 \| 5 \| 12 row 18 : 18 \| kazakhstan \| 2 \| 4 \| 0 \| 6 row 19 : 19 \| south africa \| 2 \| 1 \| 2 \| 5 row 20 : 20 \| uzbekistan \| 2 \| 0 \| 1 \| 3 row 21 : 21 \| spain \| 1 \| 4 \| 8 \| 13 row 22 : 22 \| brazil \| 1 \| 2 \| 8 \| 11 row 23 : 23 \| romania \| 1 \| 2 \| 4 \| 7 row 24 : 24 \| netherlands \| 1 \| 1 \| 2 \| 4 row 25 : 25 \| morocco \| 1 \| 1 \| 1 \| 3 row 26 : 25 \| serbia and montenegro \| 1 \| 1 \| 1 \| 3 row 27 : 27 \| latvia \| 1 \| 0 \| 0 \| 1 row 28 : 27 \| moldova \| 1 \| 0 \| 0 \| 1 row 29 : 29 \| mexico \| 0 \| 3 \| 2 \| 5 row 30 : 30 \| finland \| 0 \| 3 \| 1 \| 4 row 31 : 32 \| iran \| 0 \| 2 \| 2 \| 4 row 32 : 33 \| slovenia \| 0 \| 2 \| 0 \| 2 row 33 : 33 \| turkey \| 0 \| 2 \| 0 \| 2 row 34 : 35 \| canada \| 0 \| 1 \| 2 \| 3 row 35 : 35 \| switzerland \| 0 \| 1 \| 2 \| 3 row 36 : 35 \| estonia \| 0 \| 1 \| 2 \| 3 row 37 : 38 \| cuba \| 0 \| 1 \| 1 \| 2 row 38 : 38 \| ireland \| 0 \| 1 \| 1 \| 2 row 39 : 40 \| denmark \| 0 \| 1 \| 0 \| 1 row 40 : 40 \| uganda \| 0 \| 1 \| 0 \| 1 row 41 : 42 \| croatia \| 0 \| 0 \| 3 \| 3 row 42 : 42 \| thailand \| 0 \| 0 \| 3 \| 3 row 43 : 44 \| israel \| 0 \| 0 \| 2 \| 2 row 44 : 45 \| armenia \| 0 \| 0 \| 1 \| 1 row 45 : 45 \| jamaica \| 0 \| 0 \| 1 \| 1 row 46 : 45 \| mongolia \| 0 \| 0 \| 1 \| 1 row 47 : 45 \| malaysia \| 0 \| 0 \| 1 \| 1 row 48 : 45 \| austria \| 0 \| 0 \| 1 \| 1 row 49 : 45 \| greece \| 0 \| 0 \| 1 \| 1 row 50 : 45 \| cyprus \| 0 \| 0 \| 1 \| 1 row 51 : 45 \| bahamas \| 0 \| 0 \| 1 \| 1 row 52 : 45 \| bosnia and herzegovin \| 0 \| 0 \| 1 \| 1 ] Execute this SQL based on the above table: select gold where total > 1 order by total limit 1	0
[ header: # \| prime minister \| date of birth \| start date of (first) term \| age at beginning of (first) term \| end date of (final) term \| total time in office \| date of death \| lifespan row 1 : 1 \| edmund barton \| 18 january 1849 \| 1-jan-01 \| 51 years, 348 days \| 24-sep-03 \| 996 days \| 7-jan-20 \| 25,920 days (70 years, 354 days row 2 : 2 \| alfred deakin \| 3 august 1856 \| 24-sep-03 \| 47 years, 52 days \| 29-apr-10 \| 1,774 days \| 7-oct-19 \| 23,074 days (63 years, 65 days row 3 : 3 \| chris watson \| 9 april 1867 \| 27-apr-04 \| 37 years, 18 days \| 18-aug-04 \| 113 days \| 18-nov-41 \| 27,251 days (74 years, 223 row 4 : 4 \| george reid \| 25 february 1845 \| 18-aug-04 \| 59 years, 175 days \| 5-jul-05 \| 321 days \| 12-sep-18 \| 26,861 days (73 years, 199 row 5 : 7 \| billy hughes \| 25 september 1862 \| 27-oct-15 \| 53 years, 32 days \| 9-feb-23 \| 2,662 days \| 28-oct-52 \| 32,905 days (90 years, 33 row 6 : 8 \| stanley bruce \| 15 april 1883 \| 9-feb-23 \| 39 years, 300 days \| 22-oct-29 \| 2,447 days \| 25-aug-67 \| 30,812 days (84 years, 132 row 7 : 9 \| james scullin \| 18 september 1876 \| 22-oct-29 \| 53 years, 34 days \| 6-jan-32 \| 806 days \| 28-jan-53 \| 27,890 days (76 years, 132 row 8 : 10 \| joseph lyons \| 15 september 1879 \| 6-jan-32 \| 52 years, 113 days \| 7-apr-39 \| 2,648 days \| 7-apr-39 \| 21,753 days (59 years, 204 row 9 : 11 \| earle page \| 8 august 1880 \| 7-apr-39 \| 58 years, 242 days \| 26-apr-39 \| 19 days \| 20-dec-61 \| 29,718 days (81 years, 134 row 10 : 12 \| robert menzies \| 20 december 1894 \| 26-apr-39 \| 44 years, 127 days \| 26-jan-66 \| 6,735 days \| 15-may-78 \| 30,461 days (83 years, 146 row 11 : 14 \| john curtin \| 8 january 1885 \| 7-oct-41 \| 56 years, 272 days \| 5-jul-45 \| 1,367 days \| 5-jul-45 \| 22,092 days (60 years, 178 row 12 : 15 \| frank forde \| 18 july 1890 \| 6-jul-45 \| 54 years, 353 days \| 13-jul-45 \| 7 days \| 28-jan-83 \| 33,796 days (92 years, 19 row 13 : 16 \| ben chifley \| 22 september 1885 \| 13-jul-45 \| 59 years, 294 days \| 19-dec-49 \| 1,620 days \| 13-jun-51 \| 24,004 days (65 years, 264 row 14 : 17 \| harold holt \| 5-aug-08 \| 26-jan-66 \| 57 years, 174 days \| 19-dec-67 \| 690 days \| 17-dec-67 \| 21,683 days (59 years, 134 ] Execute this SQL based on the above table: select start date of (first) term where start date of (first) term in ( '22-oct-29' , '9-feb-23' ) order by total time in office desc limit 1	9-feb-23
[ header: goal \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 24 january 2007 \| estadio cuscatlan, \| denmark \| 1-0 \| 1-0 \| friendly row 2 : 2 \| 8 february 2007 \| estadio cuscatlan, \| belize \| 2-0 \| 2-1 \| 2007 uncaf nations cup row 3 : 3 \| 10 february 2007 \| estadio cuscatlan, \| nicaragua \| 1-0 \| 2-1 \| 2007 uncaf nations cup row 4 : 4 \| 10 february 2007 \| estadio cuscatlan, \| nicaragua \| 2-1 \| 2-1 \| 2007 uncaf nations cup row 5 : 5 \| 8 september 2007 \| estadio olimpico at \| ecuador \| 1-2 \| 1-5 \| friendly row 6 : 6 \| 13 october 2007 \| estadio cuscatlan, \| costa rica \| 1-2 \| 2-2 \| friendly row 7 : 7 \| 6 february 2008 \| estadio cuscatlan, \| anguilla \| 9-0 \| 12-0 \| 2010 fifa world cup qualification row 8 : 8 \| 22 june 2008 \| estadio cuscatlan, \| panama \| 1-1 \| 3-1 \| 2010 fifa world cup qualification row 9 : 9 \| 22 june 2008 \| estadio cuscatlan, \| panama \| 2-1 \| 3-1 \| 2010 fifa world cup qualification row 10 : 10 \| 15 october 2008 \| estadio cuscatlan, \| suriname \| 2-0 \| 3-0 \| 2010 fifa world cup qualification row 11 : 11 \| 22 october 2008 \| robert f. kenne \| bolivia \| 1-0 \| 2-0 \| friendly row 12 : 12 \| 28 march 2009 \| estadio cuscatlan, \| united states \| 1-0 \| 2-2 \| 2010 fifa world cup qualification row 13 : 13 \| 6 june 2009 \| estadio cuscatlan, \| mexico \| 2-1 \| 2-1 \| 2010 fifa world cup qualification row 14 : 14 \| 3 march 2010 \| los angeles coliseum, \| guatemala \| 2-1 \| 2-1 \| friendly row 15 : 15 \| 12 june 2011 \| soldier field, chicago, united states \| cuba \| 6-1 \| 6-1 \| 2011 concacaf gold cup ] Execute this SQL based on the above table: select min ( goal )	1.0
[ header: rank \| name \| caps \| goals \| years row 1 : 1 \| bedford jezzard \| 3 \| 6 \| 1954-1955 row 2 : 2 \| tommy taylor \| 2 \| 4 \| 1956 row 3 : 2 \| gordon hill \| 6 \| 4 \| 1978 row 4 : 2 \| alan smith \| 4 \| 4 \| 1990-1992 row 5 : 5 \| jack rowley \| 1 \| 3 \| 1949 row 6 : 5 \| brian talbot \| 6 \| 3 \| 1978-1980 row 7 : 5 \| paul merson \| 4 \| 3 \| 1991-1998 row 8 : 5 \| matthew le tissier \| 6 \| 3 \| 1990-1998 ] Execute this SQL based on the above table: select name where name in ( 'tommy taylor' , 'tommy taylor' ) order by rank desc limit 1	tommy taylor
[ header: game \| date \| visitor \| score \| home \| decision \| attendance \| record \| points row 1 : 34 \| january 3 \| ny rangers \| 2 - 4 \| philadelphia \| parent \| 17007 \| 22-8-4 \| 48 row 2 : 35 \| january 5 \| philadelphia \| 3 - 3 \| minnesota \| parent \| 15296 \| 22-8-5 \| 49 row 3 : 36 \| january 7 \| philadelphia \| 1 - 2 \| montreal \| parent \| 19040 \| 22-9-5 \| 49 row 4 : 37 \| january 10 \| minnesota \| 4 - 7 \| philadelphia \| parent \| 17007 \| 23-9-5 \| 51 row 5 : 38 \| january 11 \| philadelphia \| 7 - 6 \| atlanta \| taylor \| 5141 \| 24-9-5 \| 53 row 6 : 39 \| january 13 \| atlanta \| 0 - 1 \| philadelphia \| parent \| 17007 \| 25-9-5 \| 55 row 7 : 40 \| january 17 \| buffalo \| 2 - 7 \| philadelphia \| parent \| 17007 \| 26-9-5 \| 57 row 8 : 41 \| january 19 \| los angeles \| 0 - 2 \| philadelphia \| parent \| 17007 \| 27-9-5 \| 59 row 9 : 42 \| january 20 \| pittsburgh \| 5 - 3 \| philadelphia \| parent \| 17007 \| 27-10-5 \| 59 row 10 : 43 \| january 22 \| philadelphia \| 3 - 2 \| vancouver \| taylor \| 15570 \| 28-10-5 \| 61 row 11 : 44 \| january 24 \| philadelphia \| 4 - 4 \| los angeles \| parent \| 14343 \| 28-10-6 \| 62 row 12 : 45 \| january 25 \| philadelphia \| 5 - 0 \| california \| parent \| 10776 \| 29-10-6 \| 64 row 13 : 46 \| january 27 \| philadelphia \| 3 - 5 \| boston \| taylor \| 15003 \| 29-11-6 \| 64 row 14 : 47 \| january 31 \| buffalo \| 3 - 4 \| philadelphia \| parent \| 17007 \| 30-11-6 \| 66 ] Execute this SQL based on the above table: select visitor where points = 62	philadelphia
[ header: # \| player \| σ points \| qual. \| final row 1 : 1 \| karel hromadka \| 9.5 \| 3 \| 6.5 row 2 : 2 \| jan schulz (czechos \| 9 \| 4 \| 5 row 3 : 3 \| erwin voellmy (switz \| 8.5 \| 3.5 \| 5 row 4 : 4 \| karl behting (latvia \| 8 \| 2 \| 6 row 5 : 4 \| georges renaud (france \| 8 \| 3 \| 5 row 6 : 4 \| roberto grau (argentina \| 8 \| 3.5 \| 4.5 row 7 : 4 \| george koltanowski (bel \| 8 \| 3.5 \| 4.5 row 8 : 8 \| giovanni cenni (ital \| 7.5 \| 1.5 \| 6 row 9 : 8 \| endre steiner (hungary) \| 7.5 \| 2 \| 5.5 row 10 : 8 \| otto zimmermann (switz \| 7.5 \| 2.5 \| 5 row 11 : 8 \| dawid daniuszewski (poland \| 7.5 \| 2.5 \| 5 row 12 : 8 \| karoly sterk (hungary \| 7.5 \| 3 \| 4.5 row 13 : 8 \| damian reca (argentina) \| 7.5 \| 3.5 \| 4 row 14 : 14-45 \| etc \| None \| None \| None ] Execute this SQL based on the above table: select player where id = ( select id where player = 'georges renaud (france)' ) - 1	karl behting (latvia)
[ header: year \| representative \| hometown \| placement in miss nepal \| special awards at miss nepal \| placement in miss pokhara row 1 : 1995 \| rita gurung \| pamee \| 1st runner up \| None \| winner row 2 : 1996 \| binita gurung \| batulichor \| 2nd runner up \| None \| winner row 3 : 1997 \| neelima gurung \| nadipur \| winner \| miss personality \| winner row 4 : 1998 \| sunita ranjit \| lakeside \| None \| None \| winner row 5 : 1999 \| kripa gurung \| tersapatti \| 2nd runner up \| miss photogenic \| winner row 6 : 2004 \| anita gurung \| bajapatan \| 2nd runner up \| miss talent \| miss paschimanchal 2003 row 7 : 2005 \| chandra gurung \| ghorepatan \| None \| None \| None row 8 : 2011 \| madina begum \| pokreli \| None \| miss perseverance \| None row 9 : 2012 \| dilasha gc \| chindata \| None \| None \| None row 10 : 2013 \| sipora gurung \| mahendrapool \| 3rd runner up \| miss talent \| None row 11 : 2014 \| rashmi adhikari \| goripatan \| None \| None \| winner ] Execute this SQL based on the above table: select max ( year )	2014
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 8 february 2011 \| stade georges pompidou, \| mali \| 1-0 \| 1-0 \| friendly row 2 : 2 \| 11 may 2011 \| stade felix houphouet- \| namibia \| 4-1 \| 5-1 \| friendly row 3 : 3 \| 5 june 2011 \| stade de l'amitie \| benin \| 0-1 \| 2-6 \| 2012 africa cup of nations qualification - group row 4 : 4 \| 10 august 2011 \| stade de geneve, geneve, \| israel \| 1-0 \| 4-3 \| friendly row 5 : 5 \| 3 september 2011 \| stade amahoro, ki \| rwanda \| 0-4 \| 0-5 \| 2012 africa cup of nations qualification - group row 6 : 6 \| 14 november 2012 \| linzer stadion, \| austria \| 0-1 \| 0-3 \| friendly row 7 : 7 \| 14 january 2013 \| al nahyan stadium, abu \| egypt \| 4-2 \| 4-2 \| friendly row 8 : 8 \| 26 january 2013 \| royal bafokeng stadium, rustenburg \| tunisia \| 3-0 \| 3-0 \| 2013 africa cup of nations ] Execute this SQL based on the above table: select competition where id > ( select id where # = 3 ) order by # limit 1	friendly
[ header: season \| club \| country \| competition \| apps. \| goals row 1 : 1997/98 \| rapide club lebbeke \| belgium \| fourth division \| None \| None row 2 : 1998/99 \| ksc eendracht a \| belgium \| jupiler league \| 30 \| 7 row 3 : 1999/00 \| ksc eendracht a \| belgium \| jupiler league \| 31 \| 7 row 4 : 2000/01 \| ksc eendracht a \| belgium \| jupiler league \| 30 \| 6 row 5 : 2001/02 \| omonia nicosia \| cyprus \| cypriot first division \| 22 \| 8 row 6 : 2002/03 \| fc denderleeuw \| belgium \| belgian second division \| 32 \| 23 row 7 : 2003/04 \| 1. fc saarbrucken \| germany \| regionalliga sud \| 33 \| 16 row 8 : 2004/05 \| 1. fc saarbrucken \| germany \| 2. bundesliga \| 14 \| 7 row 9 : 2005/06 \| 1. fc saarbrucken \| germany \| 2. bundesliga \| 10 \| 0 row 10 : 2005/06 \| s.v. zulte \| belgium \| jupiler league \| 14 \| 1 row 11 : 2006/07 \| fcv dender eh \| belgium \| belgian second division \| 33 \| 21 row 12 : 2007/08 \| mvv \| netherlands \| eerste divisie \| 33 \| 22 row 13 : 2008/09 \| mvv \| netherlands \| eerste divisie \| 32 \| 20 row 14 : total \| None \| None \| None \| 302 \| 132 ] Execute this SQL based on the above table: select country order by club - country desc limit 1	germany
[ header: model \| origin \| type \| versions \| in service \| notes row 1 : vought f-8 crusa \| united states \| air superiority fighter/interceptor aircraft \| f-8p \| 35 \| placed in open storage 1988-01-23 at bas row 2 : northrop f-5 freedom fighter \| united states \| fighter/bomber \| f-5a f-5b \| 37 \| retired. the 10 remaining f-5s, row 3 : north american f-86 sabre \| united states \| fighter/bomber \| f-86f f-86d \| 50 20 \| replaced by the northrop f-5a row 4 : north american p-51 mustang \| united states \| fighter \| p-51d \| 103 \| paf's 1950s fighter, replaced by row 5 : north american t-28 trojan \| united states \| trainer/light strike aircraft \| t-28a t-28d \| 20 24 \| replaced by ov-10 bronco row 6 : north american t-6 texan \| united states \| trainer aircraft \| None \| 38 \| None row 7 : beechcraft t-34 mentor \| united states \| trainer aircraft \| None \| 36 \| replaced by the sf-260 row 8 : lockheed t-33 shooting star \| united states \| trainer aircraft \| t-33a rt-33 \| 25 2 \| replaced by the s-211 row 9 : douglas ac-47 s \| united states \| close air support aircraft \| None \| 11 \| None row 10 : douglas c-47 skytrain \| united states \| military transport aircraft \| None \| None \| replaced by the c-130 row 11 : de havilland canada dhc \| canada \| military transport aircraft \| None \| None \| replaced by the c-130 row 12 : grumman hu-16 albatros \| united states \| military transport aircraft \| hu-16b \| 6 \| None row 13 : namc ys-11 \| japan \| vip transport \| None \| None \| None row 14 : stinson l-5 sentine \| united states \| liaison aircraft \| None \| None \| None row 15 : sikorsky s-62 \| united states japan \| multipurpose utility helicopter multipurpose utility helicopter vip \| s-62a s-62j \| 1 2 \| None row 16 : sikorsky h-34 \| united states \| sar helicopter \| None \| None \| None row 17 : sikorsky h-19 \| united states \| None \| None \| None \| None row 18 : bell 212 \| united states \| utility helicopter \| None \| 1 \| a presidential aircraft that crashed in bengue row 19 : aerospatiale sa 330 \| france \| presidential helicopter \| sa 330l \| 2 \| None ] Execute this SQL based on the above table: select count ( * ) where notes = 'replaced by the s-211'	1
[ header: date \| time \| opponent# \| site \| tv \| result \| attendance row 1 : september 4 \| 7:00 pm \| pacific \| jones stadium • lubbock, \| None \| w 55-7 \| 29164 row 2 : september 11 \| 1:00 pm \| at #9 nebraska \| memorial stadium • lincoln, \| None \| l 27-50 \| 75771 row 3 : september 18 \| 12:00 pm \| at georgia \| sanford stadium • athens, \| None \| l 11-17 \| 74511 row 4 : september 25 \| 12:00 pm \| at baylor \| floyd casey stadium • waco, \| raycom \| l 26-28 \| 32690 row 5 : october 2 \| 11:00 am \| #14 texas a&m \| jones stadium • lubbock, \| abc \| l 6-31 \| 50748 row 6 : october 9 \| 1:00 pm \| north carolina state \| jones stadium • lubbock, \| None \| l 34-36 \| 26943 row 7 : october 16 \| 7:00 pm \| rice \| jones stadium • lubbock, \| None \| w 45-16 \| 27812 row 8 : october 30 \| 12:00 pm \| at texas \| texas memorial stadium • austin \| raycom \| w 31-22 \| 63132 row 9 : november 6 \| 12:00 pm \| tcu \| jones stadium • lubbock, \| raycom \| w 49-21 \| 31922 row 10 : november 13 \| 2:00 pm \| at smu \| ownby stadium • university park, tx \| None \| w 41-24 \| 15714 row 11 : november 20 \| 7:00 pm \| vs. houston \| alamodome • san a \| None \| w 58-7 \| 28652 row 12 : december 31 \| 1:30 pm \| vs. #19 oklahom \| sun bowl stadium • el paso, \| cbs \| l 10-41 \| 43848 ] Execute this SQL based on the above table: select tv where tv != 'cbs'	raycom, abc, raycom, raycom
[ header: rd \| home team \| score \| away team \| result (w/d/l) \| attendance row 1 : 1 \| harlequins rl \| 28-47 \| wigan warriors \| l \| 8041 row 2 : 2 \| hull \| 6-24 \| harlequins rl \| w \| 13313 row 3 : 3 \| harlequins rl \| 34-18 \| wakefield trinity wildcats \| w \| 3176 row 4 : 4 \| castleford tigers \| 16-22 \| harlequins rl \| w \| 6268 row 5 : 5 \| harlequins rl \| 24-0 \| huddersfield giants \| w \| 3284 row 6 : 6 \| None \| None \| None \| None \| None row 7 : 7 \| None \| None \| None \| None \| None row 8 : ccc4 \| None \| None \| None \| None \| None row 9 : 8 \| None \| None \| None \| None \| None row 10 : 9 \| None \| None \| None \| None \| None row 11 : 10 \| None \| None \| None \| None \| None row 12 : 11 \| None \| None \| None \| None \| None row 13 : 12 \| None \| None \| None \| None \| None row 14 : 13 (a) \| None \| None \| None \| None \| None row 15 : 14 \| None \| None \| None \| None \| None row 16 : 15 \| None \| None \| None \| None \| None row 17 : 16 \| None \| None \| None \| None \| None row 18 : 17 \| None \| None \| None \| None \| None row 19 : 18 \| None \| None \| None \| None \| None row 20 : 19 \| None \| None \| None \| None \| None row 21 : 20 \| None \| None \| None \| None \| None row 22 : 21 \| None \| None \| None \| None \| None row 23 : 22 \| None \| None \| None \| None \| None row 24 : 23 \| None \| None \| None \| None \| None row 25 : 24 \| None \| None \| None \| None \| None row 26 : 25 \| None \| None \| None \| None \| None row 27 : 26 \| None \| None \| None \| None \| None row 28 : 27 \| None \| None \| None \| None \| None row 29 : esl po1 \| None \| None \| None \| None \| None row 30 : esl po2 \| None \| None \| None \| None \| None row 31 : esl po3 \| None \| None \| None \| None \| None row 32 : esl gf \| None \| None \| None \| None \| None ] Execute this SQL based on the above table: select rd order by result (w/d/l) - away team limit 1	6.0
[ header: battle \| location \| date(s) \| engagement remarks \| victor row 1 : battle of gonzales \| gonzales \| october 2, 1835 \| this battle resulted in the first casualties \| t row 2 : battle of goliad \| goliad \| october 10, 1835 \| texians captured presidio la bah \| t row 3 : battle of concepcion \| san antonio de be \| october 28, 1835 \| in the last offensive ordered by general martin \| t row 4 : grass fight \| san antonio de be \| november 26, 1835 \| texans attack a large mexi \| t row 5 : battle of san patricio \| san patricio \| february 27, 1836 \| this was the first battle of the goli \| m row 6 : battle of the alamo \| san antonio de be \| february 23 - march 6, 1836 \| mexican president antonio \| m row 7 : battle of refugio \| refugio \| march 14, 1836 \| third battle of the goliad campaign \| m ] Execute this SQL based on the above table: select count ( * ) where victor = 't'	4
[ header: selected latin american countries \| internl. tourism arrivals 2010 (x 1000) \| internl. tourism receipts. 2010 (usd (x1000) \| average receipt per visitor 2009 (usd/turista) \| tourist arrivals per 1000 inhab (estimated) 2007 \| receipts per capita 2005 usd \| revenues as % exports of goods and services 2003 \| tourism income % gdp 2003 \| % direct and indirect employment in tourism 2005 \| world ranking tourism competitiv. ttci 2011 \| 2011 ttci index row 1 : argentina \| 5288 \| 4930 \| 932 \| 115 \| 57 \| 7.4 \| 1.8 \| 9.1 \| 60 \| 4.2 row 2 : brazil \| 5161 \| 5919 \| 1147 \| 26 \| 18 \| 3.2 \| 0.5 \| 7 \| 52 \| 4.36 row 3 : chile \| 2766 \| 1636 \| 591 \| 151 \| 73 \| 5.3 \| 1.9 \| 6.8 \| 57 \| 4.27 row 4 : costa rica \| 2100 \| 2111 \| 1005 \| 442 \| 343 \| 17.5 \| 8.1 \| 13.3 \| 44 \| 4.43 row 5 : cuba \| 2507 \| None \| None \| 188 \| 169 \| None \| None \| None \| None \| None row 6 : dominican republic \| 4125 \| 4240 \| 1028 \| 408 \| 353 \| 36.2 \| 18.8 \| 19.8 \| 72 \| 3.99 row 7 : mexico \| 22395 \| 11872 \| 530 \| 201 \| 103 \| 5.7 \| 1.6 \| 14.2 \| 43 \| 4.43 row 8 : panama \| 1317 \| 1676 \| 1273 \| 330 \| 211 \| 10.6 \| 6.3 \| 12.9 \| 56 \| 4.3 row 9 : peru \| 2299 \| 2274 \| 989 \| 65 \| 41 \| 9 \| 1.6 \| 7.6 \| 69 \| 4.04 row 10 : uruguay \| 2352 \| 1496 \| 636 \| 525 \| 145 \| 14.2 \| 3.6 \| 10.7 \| 58 \| 4.24 ] Execute this SQL based on the above table: select selected latin american countries where receipts per capita 2005 usd > ( select receipts per capita 2005 usd where selected latin american countries = 'peru' ) order by receipts per capita 2005 usd limit 1	argentina
[ header: year \| title \| role \| network \| notes row 1 : 2000 \| youth y2k 青春@y2 \| cheng shasha \| None \| None row 2 : 2001 \| the monkey king: quest for the sutra \| purple orchid \| tvb \| None row 3 : 2001 \| 藍寶石的夜空 \| shek po-yi \| tvb \| eason chan's music video row 4 : 2002 \| 一twins零一夜 \| ah sa \| tvb \| music video row 5 : 2003 \| triumph in the skies 衝上雲霄 \| charlene \| tvb \| cameo row 6 : 2003 \| all about boy'z 一起喝采 \| langlang princess \| now.com.hk \| appearance in episode 2 row 7 : 2003 \| 2半3更之困車立 \| ah sa \| now.com.hk \| None row 8 : 2003 \| 愛在陽光下 \| aids patient \| None \| music video produced to support the global anti-aid row 9 : 2004 \| kung fu soccer 功夫足球 \| None \| tvb \| guest star row 10 : 2004 \| sunshine heartbeat 赤沙印記@四葉草.2 \| ah sa \| tvb \| guest star row 11 : 2004 \| 家有寶貝 \| ah sa \| None \| guest star row 12 : 2007 \| colours of love 森之愛情 \| wai-fong / ching- \| tvb \| None row 13 : 2007 \| life off stage \| None \| None \| None row 14 : 2010 \| calling for love! 呼叫大明星 \| chen dexin \| cts \| None row 15 : 2011 \| the legend of swordman 劍俠情緣 \| tang xiaowan / n \| None \| None row 16 : 2012 \| happy marshal 歡樂元帥 \| little dragon girl (xiao long nu) \| None \| None ] Execute this SQL based on the above table: select count ( title ) where role = 'None'	0
[ header: rank \| rider \| team \| points row 1 : 1 \| robbie mcewen (aus \| davitamon-lotto \| 288 row 2 : 2 \| erik zabel (ger) \| team milram \| 199 row 3 : 3 \| thor hushovd (nor \| credit agricole \| 195 row 4 : 4 \| bernhard eisel ( \| francaise des jeux \| 176 row 5 : 5 \| luca paolini (ita) \| liquigas \| 174 row 6 : 6 \| inaki isasi (esp \| euskaltel-euskad \| 130 row 7 : 7 \| francisco ventoso (es \| saunier duval-prodir \| 128 row 8 : 8 \| cristian moreni (ita \| cofidis \| 116 row 9 : 9 \| jimmy casper (fra \| cofidis \| 98 row 10 : 10 \| oscar pereiro (esp \| caisse d'epargne-illes \| 88 ] Execute this SQL based on the above table: select team where rider = 'erik zabel (ger)'	team milram
[ header: rank \| lane \| name \| nationality \| time \| notes row 1 : None \| 4 \| sophie pascoe \| new zealand \| 2:25.65 \| wr row 2 : None \| 5 \| summer ashley mortimer \| canada \| 2:32.08 \| None row 3 : None \| 3 \| zhang meng \| china \| 2:33.95 \| as row 4 : 4 \| 6 \| katherine downie \| australia \| 2:34.64 \| None row 5 : 5 \| 2 \| nina ryabova \| russia \| 2:35.65 \| None row 6 : 6 \| 8 \| aurelie rivard \| canada \| 2:37.70 \| None row 7 : 7 \| 7 \| harriet lee \| great britain \| 2:39.42 \| None row 8 : 8 \| 1 \| gemma almond \| great britain \| 2:42.16 \| None ] Execute this SQL based on the above table: select name where rank = ( select rank where name = 'harriet lee' ) - 1	aurelie rivard
[ header: year \| title \| role \| notes row 1 : 1941 \| the maltese falcon \| kasper gutman \| nominated - academy award for best supporting row 2 : 1941 \| they died with their boots on \| lt. gen. winfield \| None row 3 : 1942 \| across the pacific \| dr. lorenz \| None row 4 : 1942 \| casablanca \| signor ferrari \| None row 5 : 1943 \| background to danger \| col. robinson \| None row 6 : 1944 \| passage to marseille \| major duval \| None row 7 : 1944 \| between two worlds \| rev. tim thompson \| None row 8 : 1944 \| the mask of dimitrios \| mr. peters \| None row 9 : 1944 \| the conspirators \| ricardo quintanilla \| None row 10 : 1944 \| hollywood canteen \| himself \| None row 11 : 1945 \| pillow to post \| col. michael otley \| None row 12 : 1945 \| conflict \| dr. mark hamilton \| None row 13 : 1945 \| christmas in connecticut \| alexander yardley \| None row 14 : 1946 \| three strangers \| jerome k. arbutny \| None row 15 : 1946 \| devotion \| william makepeace thacke \| None row 16 : 1946 \| the verdict \| supt. george e \| None row 17 : 1947 \| that way with women \| james p. alden \| None row 18 : 1947 \| the hucksters \| evan llewellyn \| None row 19 : 1948 \| the velvet touch \| capt. danbury \| None row 20 : 1948 \| ruthless \| buck mansfield \| None row 21 : 1948 \| the woman in white \| count alessandro fosco \| None row 22 : 1949 \| flamingo road \| sheriff titus semple \| None row 23 : 1949 \| malaya \| the dutchman \| None ] Execute this SQL based on the above table: select title order by year asc limit 1	the maltese falcon
[ header: country \| gdp (usd bln, 2012) \| gdp (usd bln, 2017) \| gdp (usd ppp bln, 2012) \| gdp (usd ppp bln, 2017) \| per capita (usd, 2012) \| per capita (usd, 2017) \| per capita (usd ppp, 2012) \| per capita (usd ppp, 2017) row 1 : albania \| 12.39 \| 14.75 \| 25.86 \| 31.55 \| 3,821.09 \| 4,435.73 \| 7,975.86 \| 9,489.11 row 2 : azerbaijan \| 71.04 \| 109.95 \| 98.24 \| 123.35 \| 7,726.65 \| 11,491.29 \| 10,684.95 \| 12,891.89 row 3 : bangladesh \| 118.69 \| 177.66 \| 305.51 \| 462.42 \| 791.09 \| 1,122.90 \| 2,036.23 \| 2,922.78 row 4 : brunei darussalam \| 16.85 \| 18.15 \| 21.94 \| 28.31 \| 38,801.27 \| 37,516.64 \| 50,526.35 \| 58,522.83 row 5 : cote d'ivoire \| 24.27 \| 37.03 \| 39.64 \| 61.66 \| 1,038.74 \| 1,366.89 \| 1,696.15 \| 2,276.02 row 6 : egypt \| 255.00 \| 339.33 \| 537.76 \| 756.42 \| 3,109.47 \| 3,729.36 \| 6,557.38 \| 8,313.47 row 7 : gabon \| 16.80 \| 18.00 \| 26.71 \| 32.68 \| 10,908.38 \| 10,881.51 \| 17,338.98 \| 19,762.74 row 8 : indonesia \| 894.85 \| 1,842.78 \| 1,211.96 \| 1,814.58 \| 3,660.42 \| 7,022.67 \| 4,957.55 \| 6,915.24 row 9 : iran \| 483.78 \| 671.01 \| 1,006.54 \| 1,173.48 \| 6,355.74 \| 8,269.55 \| 13,103.90 \| 14,462.05 row 10 : jordan \| 31.35 \| 46.33 \| 38.67 \| 51.61 \| 4,901.28 \| 6,464.77 \| 6,044.40 \| 7,201.71 row 11 : kuwait \| 174.63 \| 193.10 \| 165.94 \| 212.73 \| 46,142.29 \| 44,467.96 \| 43,846.72 \| 48,990.11 row 12 : lebanon \| 41.77 \| 56.25 \| 63.69 \| 82.99 \| 10,416.17 \| 13,149.68 \| 15,884.07 \| 19,401.42 row 13 : libya \| 85.11 \| 117.76 \| 87.91 \| 145.08 \| 12,878.85 \| 16,141.08 \| 13,303.20 \| 19,886.33 row 14 : morocco \| 97.17 \| 140.01 \| 170.95 \| 242.78 \| 2,987.92 \| 4,099.70 \| 5,256.55 \| 7,109.34 row 15 : mozambique \| 14.64 \| 23.76 \| 26.22 \| 41.71 \| 652.00 \| 958.25 \| 1,167.30 \| 1,682.38 row 16 : nigeria \| 272.55 \| 388.42 \| 450.54 \| 676.25 \| 1,654.31 \| 2,058.57 \| 2,734.63 \| 3,584.02 row 17 : pakistan \| 230.53 \| 274.82 \| 514.56 \| 662.44 \| 1,288.50 \| 1,391.71 \| 2,876.08 \| 3,354.68 row 18 : qatar \| 184.57 \| 237.85 \| 188.96 \| 274.46 \| 100,377.54 \| 106,320.28 \| 102,768.69 \| 122,684.13 ] Execute this SQL based on the above table: select count ( country ) where country = '123.35'	0
[ header: place \| player \| country \| score \| to par row 1 : t1 \| ed sneed \| united states \| 68-67=135 \| -9 row 2 : t1 \| craig stadler \| united states \| 69-66=135 \| -9 row 3 : t3 \| raymond floyd \| united states \| 70-68=138 \| -6 row 4 : t3 \| leonard thompson \| united states \| 68-70=138 \| -6 row 5 : t5 \| miller barber \| united states \| 75-64=139 \| -5 row 6 : t5 \| tom watson \| united states \| 68-71=139 \| -5 row 7 : t5 \| joe inman \| united states \| 68-71=139 \| -5 row 8 : t8 \| seve ballesteros \| spain \| 72-68=140 \| -4 row 9 : t8 \| jack nicklaus \| united states \| 69-71=140 \| -4 row 10 : t8 \| lou graham \| united states \| 69-71=140 \| -4 ] Execute this SQL based on the above table: select to par group by to par order by count ( * ) desc limit 1	-4
[ header: kilometers \| name \| location \| intersecting routes row 1 : 0 \| mahanayim junction \| mahanayim, near hatz \| highway 90 (israel) row 2 : 7 \| gadot junction \| gadot \| route 918 row 3 : 12 \| customs house junction \| customs office \| route 888 row 4 : 15 \| nashot junction \| northwest of katzrin \| route 9088 row 5 : 21 \| None \| golan heights \| petroleum road row 6 : 22 \| hashiryon junction \| golan heights \| route 978 row 7 : 23 \| shipon junction \| shipon (spelt) mountain \| route 9099 row 8 : 27 \| avital junction \| mount avital \| route 9881 row 9 : 28 \| zivan junction \| ein zivan \| highway 98 (israel) ] Execute this SQL based on the above table: select count ( location )	9
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| united states (usa) \| 25 \| 16 \| 7 \| 48 row 2 : 2 \| canada (can) \| 5 \| 4 \| 7 \| 16 row 3 : 3 \| jamaica (jam) \| 4 \| 3 \| 4 \| 11 row 4 : 4 \| cuba (cub) \| 3 \| 8 \| 4 \| 15 row 5 : 5 \| mexico (mex) \| 0 \| 3 \| 3 \| 6 row 6 : 6 \| brazil (bra) \| 0 \| 2 \| 1 \| 3 row 7 : 7 \| puerto rico (pur) \| 0 \| 1 \| 1 \| 2 row 8 : 8 \| colombia (col) \| 0 \| 0 \| 3 \| 3 row 9 : 9 \| peru (per) \| 0 \| 0 \| 2 \| 2 row 10 : 9 \| trinidad and tobago (tri) \| 0 \| 0 \| 2 \| 2 row 11 : 11 \| chile (chi) \| 0 \| 0 \| 1 \| 1 row 12 : 11 \| uruguay (uru) \| 0 \| 0 \| 1 \| 1 row 13 : 11 \| venezuela (ven) \| 0 \| 0 \| 1 \| 1 ] Execute this SQL based on the above table: select nation where nation != 'chile (chi)' order by silver desc limit 1	united states (usa)
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 30 may 1928 \| olympic stadium (amsterdam \| mexico \| 1-0 \| 7-1 \| 1928 summer olympics row 2 : 2 \| 30 may 1928 \| olympic stadium (amsterdam \| mexico \| 3-0 \| 7-1 \| 1928 summer olympics row 3 : 3 \| 22 june 1930 \| bologna, italy \| italy \| 1-0 \| 3-2 \| friendly row 4 : 4 \| 22 june 1930 \| bologna, italy \| italy \| 3-1 \| 3-2 \| friendly row 5 : 5 \| 13 december 1931 \| dublin, ireland \| ireland \| 3-0 \| 5-0 \| friendly row 6 : 6 \| 13 december 1931 \| dublin, ireland \| ireland \| 5-0 \| 5-0 \| friendly row 7 : 7 \| 24 april 1932 \| oviedo, spain \| yugoslavia \| 1-0 \| 2-1 \| friendly row 8 : 8 \| 21 june 1933 \| madrid, spain \| bulgaria \| 8-0 \| 13-0 \| friendly row 9 : 9 \| 21 june 1933 \| madrid, spain \| bulgaria \| 12-0 \| 13-0 \| friendly row 10 : 10 \| 11 march 1934 \| madrid, spain \| portugal \| 4-0 \| 9-0 \| 1934 world cup qualifier row 11 : 11 \| 11 march 1934 \| madrid, spain \| portugal \| 6-0 \| 9-0 \| 1934 world cup qualifier row 12 : 12 \| 21 june 1934 \| firenze, italy \| italy \| 1-0 \| 1-1 \| 1934 fifa world cup row 13 : 13 \| 24 january 1935 \| madrid, spain \| bulgaria \| 1-0 \| 2-0 \| friendly row 14 : 14 \| 19 january 1936 \| madrid, spain \| austria \| 2-4 \| 4-5 \| friendly row 15 : 15 \| 19 january 1936 \| madrid, spain \| austria \| 4-4 \| 4-5 \| friendly row 16 : 16 \| 23 february 1936 \| barcelona, spain \| germany \| 1-2 \| 1-2 \| friendly ] Execute this SQL based on the above table: select count ( result ) where venue = 'madrid, spain'	7
[ header: season \| tier \| division \| place row 1 : 2002/03 \| 8 \| 3a aficio \| 1st row 2 : 2003/04 \| 6 \| 1a aficio \| 1st row 3 : 2004/05 \| 5 \| preferente \| 13th row 4 : 2005/06 \| 5 \| preferente \| 4th row 5 : 2006/07 \| 5 \| preferente \| 8th row 6 : 2007/08 \| 5 \| preferente \| 8th row 7 : 2008/09 \| 5 \| preferente \| 3rd row 8 : 2009/10 \| 5 \| preferente \| 2nd row 9 : 2010/11 \| 4 \| 3a \| 6th row 10 : 2011/12 \| 4 \| 3a \| 6th row 11 : 2012/13 \| 4 \| 3a \| 11th ] Execute this SQL based on the above table: select division order by id desc limit 1	3a