Split (1)

train · 200k rows

inputs stringlengths 291 3.71k	targets stringlengths 1 2.65k
[ header: no. \| title \| directed by \| written by \| original air date row 1 : 1 \| "reunion" \| bryan spicer \| patrick massett & john \| january 27, 2003 row 2 : 2 \| "antarctica" \| perry lang \| patrick massett & john \| february 3, 2003 row 3 : 3 \| "skulls" \| adam nimoy \| patrick massett & john \| february 10, 2003 row 4 : 4 \| "heist" \| rick kolbe \| rick kellard \| march 10, 2003 row 5 : 5 \| "the wheel of dharma" \| r. w. goodwin \| stephanie bloch-chambers \| None row 6 : 6 \| "sangraal" \| perry lang \| gabrielle stanton & harry \| None row 7 : 7 \| "mummy virus" \| vern gillum \| rick kellard & thani \| None row 8 : 8 \| "name of god" \| michael nankin \| brad falchuk \| None row 9 : 9 \| "devil's child" \| tom wright \| thania st. john \| None row 10 : 10 \| "avalon" \| dwight little \| i. c. rapoport \| None row 11 : 11 \| "the lost codex" \| tom wright \| gabrielle stanton & harry \| None row 12 : 12 \| "eternal" \| fred gerber \| thania st. john \| None row 13 : 13 \| "helmholtz resonance" \| larry shaw \| patrick massett & john \| None ] Execute this SQL based on the above table: select no. where directed by = 'tom wright'	9, 11
[ header: outcome \| no. \| date \| tournament \| surface \| partner \| opponents in the final \| score in the final row 1 : runner-up \| 1 \| 1986 \| toronto indoor, canada \| carpet \| danie visser \| wojtek fibak joakim \| 3-6, 6-7 row 2 : winner \| 1 \| 1986 \| milan, italy \| carpet \| colin dowdeswell \| brian levine laurie warder \| 6-3, 4-6, 6-1 row 3 : runner-up \| 2 \| 1986 \| atlanta, u.s \| carpet \| danie visser \| andy kohlberg robert van \| 2-6, 3-6 row 4 : winner \| 2 \| 1986 \| bristol, england \| grass \| danie visser \| mark edmondson wally masur \| 6-7, 7-6, 12-10 row 5 : runner-up \| 3 \| 1986 \| cincinnati, u.s \| hard \| danie visser \| mark kratzmann kim warwick \| 3-6, 4-6 row 6 : runner-up \| 4 \| 1986 \| tel aviv, israel \| hard \| danie visser \| john letts peter lund \| 3-6, 6-3, 3-6 row 7 : runner-up \| 5 \| 1987 \| philadelphia, u.s \| carpet \| danie visser \| sergio casal emilio s \| 6-3, 1-6, 6-7 ] Execute this SQL based on the above table: select date where outcome != 'winner' order by date desc limit 1	1987
[ header: date \| number \| type \| captain \| casualties \| sunk by row 1 : 4-may-43 \| u-209 \| viic \| heinrich brodda \| 46 \| catalina flying-boat of no. 5 row 2 : 5-may-43 \| u-638 \| viic \| oskar staudinger \| 44 \| hms sunflower row 3 : 5-may-43 \| u-531 \| ixc/40 \| herbert neckel \| 54 \| hms vidette row 4 : 6-may-43 \| u-192 \| ixc/40 \| werner happe \| 55 \| hms loosestrife row 5 : 6-may-43 \| u-125 \| ixc \| ulrich folkers \| 54 \| hms oribi, hm row 6 : 6-may-43 \| u-630 \| viic \| werner winkler \| 47 \| hms vidette row 7 : 6-may-43 \| u-438 \| viic \| heinrich hensohn \| 48 \| hms pelican ] Execute this SQL based on the above table: select sunk by where captain = 'heinrich hensohn' order by casualties desc limit 1	hms pelican
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 1990 \| pan american race walking cup \| xalapa, mexico \| 25th \| 20 km \| 1:48:49 row 2 : 1993 \| central american and caribbean games \| ponce, puerto rico \| 3rd \| 20 km \| 1:29:43 row 3 : 1994 \| central american games \| san salvador, el \| 1st \| 20 km \| 1:27:45 row 4 : 1995 \| pan american games \| mar del plata, argentina \| 3rd \| 20 km \| 1:23:50 row 5 : 1995 \| central american and caribbean championships \| ciudad de guatemala, \| 2nd \| 20 km \| 1:25:10 a row 6 : 1996 \| olympic games \| atlanta, georgia \| dsq \| 20 km \| None row 7 : 1997 \| world race walking cup \| podebrady, czech \| 5th \| 20 km \| 1:18:51 row 8 : 1997 \| central american and caribbean championships \| san juan, puerto \| 1st \| 20 km \| 1:26:24.40 cr row 9 : 1997 \| world championships \| athens, greece \| dsq \| 20 km \| None row 10 : 1997 \| central american games \| san pedro sul \| 1st \| 20 km \| 1:35:45 row 11 : 1998 \| ibero-american championships \| lisbon, portugal \| 2nd \| 20 km \| 1:26:25 row 12 : 1998 \| central american and caribbean games \| maracaibo, venezu \| 3rd \| 20 km \| 1:25:31 row 13 : 1999 \| world championships \| seville, spain \| dsq \| 20 km \| None row 14 : 2000 \| olympic games \| sydney, australia \| 43rd \| 20 km \| 1:31:47 row 15 : 2001 \| central american and caribbean championships \| guatemala city, guate \| 3rd \| 20 km \| 1:29:47 a row 16 : 2003 \| central american and caribbean championships \| st. george's, \| 1st \| 18,000 m \| 1:22:07 row 17 : 2003 \| pan american games \| santo domingo, dominican \| dsq \| 20 km \| None row 18 : 2003 \| pan american games \| santo domingo, dominican \| dnf \| 50 km \| None row 19 : 2003 \| world championships \| paris, france \| dsq \| 20 km \| None row 20 : 2004 \| world race walking cup \| naumburg, germany \| 15th \| 50 km \| 3:56:19 row 21 : 2004 \| olympic games \| athens, greece \| dsq \| 50 km \| None row 22 : 2004 \| central american championships \| managua, nicaragua \| 3rd \| 20 km \| 1:33:20.46 row 23 : 2005 \| central american and caribbean championships \| nassau, bahamas \| 1st \| 20,000 m \| 1:30:38.07 row 24 : 2005 \| world championships \| helsinki, finland \| 12th \| 50 km \| 3:57:56 row 25 : 2006 \| ibero-american championships \| ponce, puerto rico \| None \| 20,000 m \| dq row 26 : 2006 \| central american and caribbean games \| cartagena, colombia \| 5th \| 20 km \| 1:33:00 row 27 : 2007 \| central american championships \| san jose, costa ric \| 3rd \| 20 km \| 1:27:30.42 ] Execute this SQL based on the above table: select count ( distinct competition )	10
[ header: pos. \| car # \| driver \| make \| team row 1 : 1 \| 38 \| jason leffler \| toyota \| braun racing row 2 : 2 \| 16 \| greg biffle \| ford \| roush fenway racing row 3 : 3 \| 99 \| david reutimann \| toyota \| michael waltrip racing row 4 : 4 \| 60 \| carl edwards \| ford \| roush fenway racing row 5 : 5 \| 77 \| ron hornaday \| chevrolet \| kevin harvick incorporated row 6 : 6 \| 20 \| aric almirola \| chevrolet \| joe gibbs racing row 7 : 7 \| 29 \| scott wimmer \| chevrolet \| richard childress racing row 8 : 8 \| 42 \| kevin hamlin \| dodge \| chip ganassi racing row 9 : 9 \| 10 \| mike bliss \| toyota \| braun racing row 10 : 10 \| 88 \| brad keselowski \| chevrolet \| jr motorsports ] Execute this SQL based on the above table: select count ( driver ) where pos. > 258	0
[ header: club \| town \| founded \| nickname \| colours \| home ground \| titles \| website row 1 : churchill united \| churchill \| 1969 \| rams \| silver & red \| hazelwood south reserve \| 4 \| row 2 : east gippsland united \| bairnsdale \| 2009 \| None \| navy blue & gold \| howitt park sports complex \| 0 \| row 3 : falcons 2000 \| morwell \| 1961 \| falcons \| blue & black \| latrobe city soccer stadium \| 2 \| row 4 : fortuna 60 \| morwell \| 1960 \| lions \| orange & black \| crinigan road south reserve \| 9 \| row 5 : moe united \| moe \| 1952 \| red devils \| red, black & white \| olympic park \| 7 \| row 6 : monash \| newborough \| 1958 \| wolves \| gold & black \| monash reserve \| 0 \| row 7 : morwell pegasus \| morwell \| 1959 \| the flying horse \| maroon & sky blue \| ronald reserve \| 5 \| row 8 : newborough/yallourn \| newborough \| None \| None \| navy blue \| burrage reserve \| 8 \| row 9 : sale united \| sale \| 1974 \| swans \| green & white \| godfrey baldwin reserve \| 1 \| row 10 : traralgon city \| traralgon \| 1968 \| roosters \| black & white \| harold preston reserve \| 0 \| row 11 : traralgon olympians \| traralgon \| 1980 \| olympians \| blue & white \| harold preston reserve \| 8 \| row 12 : tyers \| tyers \| 1982 \| lightning \| green & gold \| tyers recreation reserve \| 0 \| ] Execute this SQL based on the above table: select count ( distinct nickname ) where town = 'newborough' and town = 'morwell'	0
[ header: county \| kerry \| votes \| bush \| votes \| others \| votes row 1 : manhattan \| 82.1% \| 526765 \| 16.7% \| 107405 \| 1.2% \| 7781 row 2 : brooklyn \| 74.9% \| 514973 \| 24.3% \| 167149 \| 0.8% \| 5762 row 3 : queens \| 71.7% \| 433835 \| 27.4% \| 165954 \| 0.9% \| 5603 row 4 : tompkins \| 64.2% \| 27229 \| 33.0% \| 13994 \| 2.8% \| 1179 row 5 : albany \| 60.7% \| 89323 \| 37.3% \| 54872 \| 2.0% \| 3004 row 6 : erie \| 56.4% \| 251090 \| 41.4% \| 184423 \| 2.2% \| 9625 row 7 : ulster \| 54.3% \| 47602 \| 43.1% \| 37821 \| 2.6% \| 2289 row 8 : nassau \| 52.2% \| 323070 \| 46.6% \| 288355 \| 1.1% \| 6918 row 9 : clinton \| 52.2% \| 17624 \| 45.4% \| 15330 \| 2.3% \| 782 row 10 : schenectady \| 51.8% \| 35971 \| 46.2% \| 32066 \| 2.1% \| 1432 row 11 : broome \| 50.4% \| 46281 \| 47.4% \| 43568 \| 2.2% \| 2041 row 12 : suffolk \| 49.5% \| 315909 \| 48.5% \| 309949 \| 2.0% \| 12854 row 13 : niagara \| 49.3% \| 47602 \| 48.8% \| 47111 \| 1.9% \| 1867 row 14 : rockland \| 48.9% \| 64191 \| 49.6% \| 65130 \| 1.5% \| 1910 row 15 : cayuga \| 48.6% \| 17534 \| 49.2% \| 17743 \| 2.1% \| 775 row 16 : otsego \| 47.7% \| 12723 \| 50.1% \| 13342 \| 2.2% \| 587 row 17 : oswego \| 46.8% \| 24133 \| 51.0% \| 26325 \| 2.2% \| 1149 row 18 : saratoga \| 45.6% \| 48730 \| 52.5% \| 56158 \| 1.9% \| 1985 row 19 : montgomery \| 44.5% \| 9449 \| 53.4% \| 11338 \| 2.0% \| 434 row 20 : orange \| 43.8% \| 63394 \| 54.7% \| 79089 \| 1.5% \| 2190 row 21 : chemung \| 43.7% \| 17080 \| 54.6% \| 21321 \| 1.7% \| 674 row 22 : oneida \| 42.8% \| 40792 \| 54.9% \| 52392 \| 2.3% \| 2185 row 23 : ontario \| 42.2% \| 21166 \| 55.9% \| 27999 \| 1.9% \| 937 row 24 : putnam \| 42.0% \| 19575 \| 56.6% \| 26356 \| 1.4% \| 632 row 25 : fulton \| 41.4% \| 9202 \| 56.6% \| 12570 \| 2.0% \| 443 row 26 : herkimer \| 41.2% \| 11675 \| 56.6% \| 16024 \| 2.2% \| 611 row 27 : tioga \| 40.6% \| 9694 \| 57.6% \| 13762 \| 1.9% \| 446 row 28 : schuyler \| 40.1% \| 3445 \| 57.7% \| 4960 \| 2.2% \| 185 row 29 : cattaraugus \| 39.4% \| 13514 \| 58.5% \| 20051 \| 2.0% \| 697 row 30 : yates \| 39.3% \| 4205 \| 58.9% \| 6309 \| 1.8% \| 197 row 31 : wayne \| 38.1% \| 15709 \| 60.0% \| 24709 \| 1.9% \| 782 row 32 : orleans \| 36.0% \| 5959 \| 62.3% \| 10317 \| 1.8% \| 297 ] Execute this SQL based on the above table: select votes where kerry = '42.2%'	27999.0
[ 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 best & fairest order by year limit 1	darren mead
[ header: pos. \| driver \| co-driver \| car \| time row 1 : 1 \| giandomenico basso \| lorenzo granai \| peugeot 207 s2000 \| 2h28m50.8s row 2 : 2 \| bruno magalhaes \| nuno r. silva \| peugeot 207 s2000 \| +07.3s row 3 : 3 \| miguel nunes \| joao paulo \| mitsubishi lancer x r4 \| + 3m30.8s row 4 : 4 \| pedro meireles \| mario castro \| skoda fabia s2000 \| +3m42.5s row 5 : 5 \| luca betti \| francesco pezzoli \| ford fiesta s2000 \| +4m04.1s row 6 : 6 \| filipe freitas \| daniel figueiroa \| mitsubishi lancer x r4 \| +5m36s row 7 : 7 \| filipe pires \| vasco rodrigues \| mitsubishi lancer x \| +9m11.2s row 8 : 8 \| luis serrado \| joao sousa \| peugeot 206 s1600 \| +10m53.7s row 9 : 9 \| jose camacho \| fernando spinola \| peugeot 206 s1600 \| +13m08.3s row 10 : 10 \| rui conceicao \| duarte coelho \| ford escort cosworth \| +16m50.1s ] Execute this SQL based on the above table: select time where pos. = 7	9.0
[ header: rank \| athlete \| qual \| final \| total \| notes row 1 : None \| silvia sperber (frg \| 590 \| 95.6 \| 685.6 \| or row 2 : None \| vesela letcheva (bul) \| 583 \| 100.2 \| 683.2 \| None row 3 : None \| valentina cherkasova ( \| 586 \| 95.4 \| 681.4 \| None row 4 : 4 \| katja klepp (gdr \| 584 \| 96.5 \| 680.5 \| None row 5 : 5 \| sharon bowes (can) \| 584 \| 96.5 \| 680.5 \| None row 6 : 6 \| anna maloukhina (urs) \| 585 \| 93.4 \| 678.4 \| None row 7 : 7 \| launi meili (usa) \| 582 \| 94.5 \| 676.5 \| None row 8 : 8 \| anita karlsson (s \| 583 \| 93.4 \| 676.4 \| None ] Execute this SQL based on the above table: select count ( * ) where notes = '93.4'	0
[ 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 date where # = ( select # where date = 'august 3' ) + 1	august 4
[ header: pennant number \| name \| builder \| laid down \| launched \| completed \| fate row 1 : f00 \| jervis \| hawthorn leslie & company, \| 26 august 1937 \| 9 september 1938 \| 12 may 1939 \| sold for scrap 1949 row 2 : f22 \| jackal \| john brown & company, cly \| 24 september 1937 \| 25 october 1938 \| 31 march 1939 \| bombed off mersa matruh row 3 : f34 \| jaguar \| william denny & brothers, dumb \| 25 november 1937 \| 22 november 1938 \| 12 september 1939 \| torpedoed by german u row 4 : f46 \| juno (ex-jamaica) \| fairfield shipbuilding & engineering company, go \| 15 october 1937 \| 8 december 1938 \| 25 august 1939 \| bombed and sunk south of row 5 : f53 \| janus \| swan hunter & wigham \| 29 september 1937 \| 11 october 1938 \| 5 august 1939 \| torpedoed and sunk row 6 : f61 \| javelin (ex-kashmir) \| john brown \| 11 october 1937 \| 21 december 1938 \| 10 june 1939 \| sold for scrap 1949 row 7 : f72 \| jersey \| j. samuel white \| 1937 \| 26 september 1938 \| 28 april 1939 \| mined off valletta 2 may 1941, row 8 : f85 \| jupiter \| yarrow & company, scot \| 28 september 1937 \| 27 october 1938 \| 25 june 1939 \| hit a dutch mine during the battle row 9 : None \| jubilant \| None \| None \| None \| None \| ordered march 1937, cancelled december 1937 ] Execute this SQL based on the above table: select count ( name )	9
[ header: round \| game \| date \| visitor \| score \| home \| score \| ot \| bye row 1 : preliminary round \| None \| None \| None \| None \| None \| None \| None \| row 2 : quarter-finals \| game 1 \| 13-apr-75 \| chicago black hawks \| 1 \| buffalo sabres \| 4 \| None \| row 3 : quarter-finals \| game 2 \| 15-apr-75 \| chicago black hawks \| 1 \| buffalo sabres \| 3 \| None \| row 4 : quarter-finals \| game 3 \| 17-apr-75 \| buffalo sabres \| 4 \| chicago black hawks \| 5 \| (ot) \| row 5 : quarter-finals \| game 4 \| 20-apr-75 \| buffalo sabres \| 6 \| chicago black hawks \| 2 \| None \| row 6 : quarter-finals \| game 5 \| 22-apr-75 \| chicago black hawks \| 1 \| buffalo sabres \| 3 \| None \| row 7 : semi-finals \| game 1 \| 27-apr-75 \| montreal canadiens \| 5 \| buffalo sabres \| 6 \| (ot) \| row 8 : semi-finals \| game 2 \| 29-apr-75 \| montreal canadiens \| 2 \| buffalo sabres \| 4 \| None \| row 9 : semi-finals \| game 3 \| 1-may-75 \| buffalo sabres \| 0 \| montreal canadiens \| 7 \| None \| row 10 : semi-finals \| game 4 \| 3-may-75 \| buffalo sabres \| 2 \| montreal canadiens \| 8 \| None \| row 11 : semi-finals \| game 5 \| 6-may-75 \| montreal canadiens \| 4 \| buffalo sabres \| 5 \| (ot) \| row 12 : semi-finals \| game 6 \| 8-may-75 \| buffalo sabres \| 4 \| montreal canadiens \| 3 \| None \| row 13 : stanley cup finals \| game 1 \| 15-may-75 \| buffalo sabres \| 1 \| philadelphia flyers \| 4 \| None \| row 14 : stanley cup finals \| game 2 \| 18-may-75 \| buffalo sabres \| 1 \| philadelphia flyers \| 2 \| None \| row 15 : stanley cup finals \| game 3 \| 20-may-75 \| philadelphia flyers \| 4 \| buffalo sabres \| 5 \| (ot) \| row 16 : stanley cup finals \| game 4 \| 22-may-75 \| philadelphia flyers \| 2 \| buffalo sabres \| 4 \| None \| row 17 : stanley cup finals \| game 5 \| 25-may-75 \| buffalo sabres \| 1 \| philadelphia flyers \| 5 \| None \| row 18 : stanley cup finals \| game 6 \| 27-may-75 \| philadelphia flyers \| 2 \| buffalo sabres \| 0 \| None \| ] Execute this SQL based on the above table: select bye where bye in ( '' , '' ) order by game desc limit 1	@NULL@
[ header: stage \| date \| route \| terrain \| length \| winner row 1 : p \| 1 july \| saint-brieuc \| individual time trial \| 7.3 km (4.5 mi) \| jacky durand (fra) row 2 : 1 \| 2 july \| dinan - lannion \| plain stage \| 233.5 km (145.1 mi) \| fabio baldato (it row 3 : 2 \| 3 july \| perros-guirec - vitre \| plain stage \| 235.5 km (146.3 mi) \| mario cipollini (ita row 4 : 3 \| 4 july \| mayenne - alencon \| team time trial \| 67.0 km (41.6 mi) \| gewiss-ballan (ita row 5 : 4 \| 5 july \| alencon - le havre \| plain stage \| 162.0 km (100.7 mi) \| mario cipollini (ita row 6 : 5 \| 6 july \| fecamp - dunkerque \| plain stage \| 261.0 km (162.2 mi) \| jeroen blijlevens row 7 : 6 \| 7 july \| dunkerque - charlero \| plain stage \| 202.0 km (125.5 mi) \| erik zabel (ger) row 8 : 7 \| 8 july \| charleroi - liege \| hilly stage \| 203.0 km (126.1 mi) \| johan bruyneel row 9 : 8 \| 9 july \| huy - seraing \| individual time trial \| 54.0 km (33.6 mi) \| miguel indurain (es row 10 : 9 \| 11 july \| le grand-bornand - la plagne \| stage with mountain(s) \| 160.0 km (99.4 mi) \| alex zulle (sui) row 11 : 10 \| 12 july \| la plagne - l'alpe \| stage with mountain(s) \| 162.5 km (101.0 mi) \| marco pantani (ita) row 12 : 11 \| 13 july \| le bourg-d'oisans \| hilly stage \| 199.0 km (123.7 mi) \| maximilian sciandri (gb row 13 : 12 \| 14 july \| saint-etienne - mende \| hilly stage \| 222.5 km (138.3 mi) \| laurent jalabert (fra row 14 : 13 \| 15 july \| mende - revel \| plain stage \| 245.0 km (152.2 mi) \| serhiy utchakov ( row 15 : 14 \| 16 july \| saint-orens-de-gameville \| stage with mountain(s) \| 164.0 km (101.9 mi) \| marco pantani (ita) row 16 : 15 \| 18 july \| saint-girons - cautere \| stage with mountain(s) \| 206.0 km (128.0 mi) \| richard virenque (fra row 17 : 16 \| 19 july \| tarbes - pau \| stage with mountain(s) \| 149.0 km (92.6 mi) \| cancelled row 18 : 17 \| 20 july \| pau - bordeaux \| plain stage \| 246.0 km (152.9 mi) \| erik zabel (ger) row 19 : 18 \| 21 july \| montpon-menesterol - lim \| plain stage \| 166.5 km (103.5 mi) \| lance armstrong (usa) row 20 : 19 \| 22 july \| lac de vassiviere - lac \| individual time trial \| 46.5 km (28.9 mi) \| miguel indurain (es ] Execute this SQL based on the above table: select terrain order by stage desc limit 1	individual time trial
[ 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 count ( from ) where royal house = 'None'	0
[ header: # \| name \| age \| disappeared \| found row 1 : 1 \| wendy lee coffield \| 16 \| july 8, 1982 \| july 15, 1982 row 2 : 3 \| debra lynn bonner \| 23 \| july 25, 1982 \| august 12, 1982 row 3 : 4 \| marcia fay chapman \| 31 \| august 1, 1982 \| august 15, 1982 row 4 : 5 \| cynthia jean hind \| 17 \| august 11, 1982 \| august 15, 1982 row 5 : 6 \| opal charmaine mills \| 16 \| august 12, 1982 \| august 15, 1982 row 6 : 7 \| terry rene milligan \| 16 \| august 29, 1982 \| april 1, 1984 row 7 : 9 \| debra lorraine estes \| 15 \| september 20, 1982 \| may 30, 1988 row 8 : 11 \| denise darcel bush \| 23 \| october 8, 1982 \| june 12, 1985 row 9 : 13 \| shirley marie sherrill \| 18 \| october 20-22, 1982 \| june 1985 row 10 : 14 \| rebecca "becky" marr \| 20 \| december 3, 1982 \| december 21, 2010 row 11 : 15 \| colleen renee brock \| 15 \| december 24, 1982 \| may 26, 1984 row 12 : 18 \| delores laverne willi \| 17 \| march 8-14, 1983 \| march 31, 1984 row 13 : 19 \| gail lynn mathews \| 23 \| april 10, 1983 \| september 18, 1983 row 14 : 20 \| andrea m. childers \| 19 \| april 14, 1983 \| october 11, 1989 row 15 : 21 \| sandra kay gabbert \| 17 \| april 17, 1983 \| april 1, 1984 row 16 : 22 \| kimi-kai pitsor \| 16 \| april 17, 1983 \| december 15, 1983 row 17 : 23 \| marie m. malvar \| 18 \| april 30, 1983 \| september 26, 2003 row 18 : 24 \| carol ann christensen \| 21 \| may 3, 1983 \| may 8, 1983 row 19 : 25 \| martina theresa authorlee \| 18 \| may 22, 1983 \| november 14, 1984 row 20 : 26 \| cheryl lee wims \| 18 \| may 23, 1983 \| march 22, 1984 row 21 : 27 \| yvonne "shelly" anto \| 19 \| may 31, 1983 \| october 15, 1983 row 22 : 28 \| carrie ann rois \| 15 \| may 31 - june 13, 1983 \| march 10, 1985 row 23 : 31 \| tina marie thomp \| 21 \| july 25, 1983 \| april 20, 1984 row 24 : 32 \| april dawn buttram \| 16 \| august 18, 1983 \| august 30, 2003 row 25 : 34 \| tracy ann winston \| 19 \| september 12, 1983 \| march 27, 1986 row 26 : 36 \| mary sue bello \| 25 \| october 11, 1983 \| october 12, 1984 row 27 : 37 \| pammy annette avent \| 15 \| october 26, 1983 \| august 16, 2003 row 28 : 38 \| delise louise plager \| 22 \| october 30, 1983 \| february 14, 1984 row 29 : 39 \| kimberly l. nels \| 21 \| november 1, 1983 \| june 14, 1986 row 30 : 40 \| lisa yates \| 19 \| december 23, 1983 \| march 13, 1984 row 31 : 42 \| cindy anne smith \| 17 \| march 21, 1984 \| june 27, 1987 row 32 : 45 \| marta reeves \| 36 \| march 5, 1990 \| september 20, 1990 row 33 : 46 \| patricia yellowrobe \| 38 \| january 1998 \| august 6, 1998 row 34 : 47 \| unidentified white female \| 12-17 \| died prior to may 1983 \| march 21, 1984 row 35 : 49 \| unidentified female \| 13-24 \| 1973-1993 \| august 2003 ] Execute this SQL based on the above table: select found where name != 'yvonne "shelly" antosh' and age = ( select age where name = 'yvonne "shelly" antosh' )	october 11, 1989, march 27, 1986, march 13, 1984
[ header: region \| country \| location \| size (m) \| payload (metric tonnes) \| degrees of freedom \| x horiz disp (mm) \| y horiz disp (mm) \| z vert disp (mm) \| x horiz vel (mm/s) \| y horiz vel (mm/s) \| z vert vel (mm/s) \| x horiz accel (m/s2) \| y horiz accel (m/s2) \| z vert accel (m/s2) \| max freq (hz) \| details checked row 1 : asia \| china \| xi'a university of architecture & \| 2 x 2 \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None row 2 : asia \| japan \| hitachi engineering corp \| 4 x 4 \| 20 \| 1 \| ±150 \| None \| None \| ±750 \| None \| None \| ±20 \| None \| None \| 30 \| None row 3 : asia \| japan \| ishikawajima harima \| 4.5 x 4.5 \| 35 \| 6 \| ±100 \| ±100 \| ±67 \| ±750 \| ±750 \| ±500 \| ±15 \| ±15 \| ±10 \| 50 \| None row 4 : asia \| japan \| kumagai-gumi corp \| 5 x 5 \| 64 \| 6 \| ±80 \| ±260 \| ±50 \| ±600 \| ±1500 \| ±500 \| ±30 \| ±10 \| ±10 \| 70 \| None row 5 : asia \| japan \| ministry of construction \| 6 x 8 \| 100 \| 2 \| ±75 \| None \| None \| ±600 \| None \| None \| ±7 \| None \| None \| 30 \| None row 6 : asia \| japan \| shimizu corporation \| 4 x 4 \| 20 \| 3 \| ±200 \| None \| None \| ±1000 \| None \| None \| ±10 \| None \| None \| 50 \| None row 7 : asia \| japan \| tobishima corp ltd \| 4 x 4 \| 20 \| 2 \| ±75 \| None \| None \| None \| None \| None \| ±15 \| None \| None \| 30 \| None row 8 : canada \| canada \| university of british columbia \| 4 x 4 \| 30 \| 6 \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None row 9 : europe \| france \| commissariat a l'energie \| 4 x 3 \| 20 \| 1 \| ±125 \| None \| None \| ±1000 \| None \| None \| ±10 \| None \| None \| 50 \| 27/01/2011 row 10 : europe \| italy \| european centre for training & research in earthquake engineering \| 5.6 x 7 \| 140 \| 1 \| ±500 \| None \| None \| ±2200 \| None \| None \| 59 \| None \| None \| 50 \| None row 11 : europe \| italy \| european centre for training & research in earthquake engineering \| 1.6 x 4.4 \| 5000 (vertical load) \| 5 \| ±500 \| ±265 \| 140 \| ±2200 \| ±600 \| ±250 \| 18 \| None \| None \| 20 \| None row 12 : europe \| spain \| cedex \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None row 13 : usa \| colorado \| anco engineers, inc boulder, colora \| 3 x 3 \| 10 \| 3 \| ±200 \| ±200 \| ±200 \| ±2000 \| ±2000 \| ±2000 \| ±30 \| ±30 \| ±30 \| 40 \| 16/10/2012 ] Execute this SQL based on the above table: select details checked order by y horiz accel (m/s2) limit 234	27/01/2011, 16/10/2012
[ header: title \| year \| artist(s) \| album \| writer(s) \| producer(s) row 1 : "lucky day (song)" \| 2011 \| nicola roberts \| cinderella's eyes \| martina sorbara, dragonette \| andras vleminckx row 2 : "positive" \| 2011 \| taio cruz \| ' \| taio cruz, andr \| andras vleminckx row 3 : "broken (kate ryan song \| 2010 \| kate ryan \| electroshock (kate ryan album \| anders hansson, kate \| anders hansson, felix per row 4 : "give me more" \| 2012 \| tara mcdonald \| i like this beat \| tara mcdonald, luci \| andras vleminckx row 5 : "drop it low (kat deluna \| 2011 \| kat deluna ft fat \| inside out (kat deluna album) \| kat deluna, andra \| andras vleminckx row 6 : "8 days a week" \| 2012 \| jean-roch ft ti \| music saved my life \| jean-roch, timati, \| andras vleminckx row 7 : "can u feel it" \| 2012 \| jean-roch ft tara m \| music saved my life \| jean-roch, tara mcd \| andras vleminckx row 8 : "be there (ballad version)" \| 2011 \| kat deluna \| inside out (kat deluna album) \| kat deluna, andra \| andras vleminckx row 9 : "muevete mueve \| 2011 \| kat deluna \| inside out (kat deluna album) \| kat deluna, andra \| andras vleminckx row 10 : "hollywood" \| 2013 \| mitchell niemeyer \| ' \| andras vleminckx \| andras vleminckx ] Execute this SQL based on the above table: select title where year = ( select year where title = '"broken (kate ryan song)"' ) + 1	"lucky day (song)", "positive", "drop it low (kat deluna song)", "be there (ballad version)", "muevete muevete (ola ola)"
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| russia \| 6 \| 3 \| 7 \| 16 row 2 : 2 \| united states \| 5 \| 0 \| 4 \| 9 row 3 : 3 \| japan \| 3 \| 4 \| 1 \| 8 row 4 : 4 \| france \| 3 \| 1 \| 1 \| 5 row 5 : 5 \| ukraine \| 2 \| 0 \| 2 \| 4 row 6 : 6 \| turkey \| 2 \| 0 \| 1 \| 3 row 7 : 7 \| sweden \| 2 \| 0 \| 0 \| 2 row 8 : 8 \| iran \| 1 \| 2 \| 1 \| 4 row 9 : 9 \| armenia \| 1 \| 1 \| 2 \| 4 row 10 : 10 \| china \| 1 \| 1 \| 1 \| 3 row 11 : 11 \| austria \| 1 \| 0 \| 0 \| 1 row 12 : 11 \| bulgaria \| 1 \| 0 \| 0 \| 1 row 13 : 11 \| south korea \| 1 \| 0 \| 0 \| 1 row 14 : 14 \| germany \| 0 \| 3 \| 4 \| 7 row 15 : 15 \| kazakhstan \| 0 \| 3 \| 0 \| 3 row 16 : 16 \| cuba \| 0 \| 2 \| 3 \| 5 row 17 : 17 \| norway \| 0 \| 2 \| 0 \| 2 row 18 : 18 \| venezuela \| 0 \| 1 \| 1 \| 2 row 19 : 19 \| canada \| 0 \| 1 \| 0 \| 1 row 20 : 19 \| hungary \| 0 \| 1 \| 0 \| 1 row 21 : 19 \| israel \| 0 \| 1 \| 0 \| 1 row 22 : 19 \| moldova \| 0 \| 1 \| 0 \| 1 row 23 : 19 \| poland \| 0 \| 1 \| 0 \| 1 row 24 : 19 \| romania \| 0 \| 1 \| 0 \| 1 row 25 : 25 \| uzbekistan \| 0 \| 0 \| 1 \| 1 row 26 : total \| total \| 29 \| 29 \| 29 \| 87 ] Execute this SQL based on the above table: select nation where nation = 'poland' and nation != 'sweden'	poland
[ header: player \| country \| year(s) won \| r1 \| r2 \| total \| to par row 1 : don january \| united states \| 1967 \| 76 \| 74 \| 150 \| 6 row 2 : jack burke, jr \| united states \| 1956 \| 75 \| 75 \| 150 \| 6 row 3 : raymond floyd \| united states \| 1969 \| 77 \| 74 \| 151 \| 7 row 4 : jay hebert \| united states \| 1960 \| 74 \| 79 \| 153 \| 9 row 5 : dow finsterwald \| united states \| 1958 \| 79 \| 74 \| 153 \| 9 row 6 : doug ford \| united states \| 1955 \| 77 \| 80 \| 154 \| 14 row 7 : jerry barber \| united states \| 1961 \| 78 \| 80 \| 158 \| 14 row 8 : gene sarazen \| united states \| 1922, 1923, 1933 \| 81 \| 79 \| 160 \| 16 row 9 : walter burkemo \| united states \| 1953 \| 83 \| 79 \| 162 \| 18 row 10 : denny shute \| united states \| 1936, 1937 \| 81 \| 87 \| 168 \| 24 ] Execute this SQL based on the above table: select count ( year(s) won ) where player = 'jay hebert'	1
[ header: party \| first duma \| second duma \| third duma \| fourth duma row 1 : russian social democratic party \| 18 (mensheviks) \| 47 (mensheviks) \| 19 (bolsheviks) \| 15 (bolsheviks) row 2 : socialist-revolutionary party \| None \| 37 \| None \| None row 3 : labour group \| 136 \| 104 \| 13 \| 10 row 4 : progressist party \| 27 \| 28 \| 28 \| 41 row 5 : constitutional democratic party (kadets) \| 179 \| 92 \| 52 \| 57 row 6 : non-russian national groups \| 121 \| None \| 26 \| 21 row 7 : centre party \| None \| None \| None \| 33 row 8 : octobrist party \| 17 \| 42 \| 154 \| 95 row 9 : nationalists \| 60 \| 93 \| 26 \| 22 row 10 : rightists \| 8 \| 10 \| 147 \| 154 row 11 : total \| 566 \| 453 \| 465 \| 448 ] Execute this SQL based on the above table: select count ( party ) where party = 'centre party'	1
[ header: season \| tier \| division \| pos. \| notes row 1 : 2003-04 \| 1 \| division de honor \| 1st \| league champion row 2 : 2004-05 \| 1 \| division de honor \| 2nd \| cup champion row 3 : 2005-06 \| 1 \| division de honor \| 3rd \| None row 4 : 2006-07 \| 1 \| division de honor \| 3rd \| None row 5 : 2007-08 \| 1 \| division de honor \| 1st \| league champion row 6 : 2008-09 \| 1 \| division de honor \| 3rd \| None row 7 : 2009-10 \| 1 \| division de honor \| 2nd \| None row 8 : 2010-11 \| 1 \| division de honor \| 2nd \| None row 9 : 2011-12 \| 1 \| division de honor \| 9th \| relegated row 10 : 2012-13 \| 3 \| primera nacional \| 1st \| None row 11 : 2013-14 \| 3 \| primera nacional \| None \| None ] Execute this SQL based on the above table: select pos. where pos. < 572	1st, 2nd, 3rd, 3rd, 1st, 3rd, 2nd, 2nd, 9th, 1st
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 27 march 1977 \| rico perez, alicante \| hungary \| 1-1 \| 1-1 \| friendly row 2 : 2 \| 4 october 1978 \| maksimir, zagreb \| yugoslavia \| 0-1 \| 1-2 \| euro 1980 qualifying row 3 : 3 \| 24 september 1980 \| nepstadion, \| hungary \| 0-1 \| 2-2 \| friendly row 4 : 4 \| 18 february 1981 \| vicente calderon, madrid, \| france \| 1-0 \| 1-0 \| friendly row 5 : 5 \| 23 june 1981 \| azteca, mexico city \| mexico \| 0-1 \| 1-3 \| friendly row 6 : 6 \| 23 june 1981 \| azteca, mexico city \| mexico \| 0-2 \| 1-3 \| friendly row 7 : 7 \| 28 june 1981 \| olimpico, caracas, \| venezuela \| 0-1 \| 0-2 \| friendly row 8 : 8 \| 20 june 1982 \| luis casanova, valencia, \| yugoslavia \| 1-1 \| 2-1 \| 1982 fifa world cup ] Execute this SQL based on the above table: select # where venue = 'luis casanova, valencia, spain'	8
[ header: year \| competition \| venue \| position \| notes row 1 : 1996 \| world junior championships \| sydney, australia \| 15th (q) \| 7.43 m row 2 : 1996 \| asian junior championships \| new delhi, india \| 1st \| 7.68 m row 3 : 1999 \| world championships \| seville, spain \| 6th \| 8.01 m row 4 : 2001 \| east asian games \| osaka, japan \| 3rd \| 7.77 m row 5 : 2002 \| asian championships \| colombo, sri lan \| 3rd \| 7.91 m (w) row 6 : 2002 \| asian games \| busan, south korea \| 4th \| 7.75 m row 7 : 2003 \| universiade \| daegu, south korea \| 7th \| 7.78 m ] Execute this SQL based on the above table: select position order by year limit 1	15th (q)
[ header: year \| place \| gold \| silver \| bronze row 1 : 1970 \| phoenix \| united states of america sally carroll \| soviet union nadezd \| federal republic of germany ortrud f row 2 : 1974 \| thun \| soviet union galina zari \| czechoslovakia ter \| australia judith harrison en row 3 : 1978 \| seoul \| denmark kirsten broge bonnie \| australia julie aitken patricia \| united states of america sally carroll row 4 : 1982 \| caracas \| soviet union marina dobrantcheva \| hungary palma balogh mart \| people's republic of china jian row 5 : 1986 \| suhl \| soviet union marina dobrantcheva \| france martine guepin eve \| albania diana mata eman row 6 : 1990 \| moscow \| soviet union yauheniy \| sweden kerstin bodin \| people's republic of china haiying row 7 : 1994 \| milan \| people's republic of china xiaoping \| korea soon hee boo \| belarus zhanna shitik row 8 : 1998 \| barcelona \| people's republic of china yeq \| korea eun kyung \| mongolia munkhbayar row 9 : 2002 \| lahti \| people's republic of china luna ta \| russia irina dolgat \| united states of america elizabe row 10 : 2006 \| zagreb \| people's republic of china ying chen \| belarus liudmila \| germany munkhbayar dor ] Execute this SQL based on the above table: select year where place = 'moscow'	1990
[ header: stage \| date \| route \| terrain \| length \| winner row 1 : p \| 1 july \| fontenay-sous-bo \| individual time trial \| 6 km (3.7 mi) \| eric vanderaerden (bel row 2 : 1 \| 2 july \| nogent-sur-marne - \| plain stage \| 163 km (101 mi) \| frits pirard (ned row 3 : 2 \| 3 july \| soissons - fontaine-au- \| team time trial \| 100 km (62 mi) \| mercier row 4 : 3 \| 4 july \| valenciennes - rou \| hilly stage \| 152 km (94 mi) \| rudy matthijs (bel) row 5 : 4 \| 5 july \| roubaix - le havre \| plain stage \| 300 km (190 mi) \| serge demierre (sui) row 6 : 5 \| 6 july \| le havre - le mans \| plain stage \| 257 km (160 mi) \| dominique gaigne (fra) row 7 : 6 \| 7 july \| chateaubriant - nantes \| individual time trial \| 58 km (36 mi) \| bert oosterbosch ( row 8 : 7 \| 8 july \| nantes - ile d' \| plain stage \| 216 km (134 mi) \| riccardo magrini (ita row 9 : 8 \| 9 july \| la rochelle - bordeaux \| plain stage \| 222 km (138 mi) \| bert oosterbosch ( row 10 : 9 \| 10 july \| bordeaux - pau \| plain stage \| 207 km (129 mi) \| philippe chevallier (fra row 11 : 10 \| 11 july \| pau - bagneres-de \| stage with mountain(s) \| 201 km (125 mi) \| robert millar (gbr row 12 : 11 \| 12 july \| bagneres-de-luchon \| plain stage \| 177 km (110 mi) \| regis clere (fra) row 13 : 12 \| 13 july \| fleurance - roquefort \| plain stage \| 261 km (162 mi) \| kim andersen (den) row 14 : 13 \| 14 july \| roquefort-sur-s \| hilly stage \| 210 km (130 mi) \| henk lubberding (n row 15 : 14 \| 15 july \| aurillac - issoire \| hilly stage \| 149 km (93 mi) \| pierre le bigaut (fra) row 16 : 15 \| 16 july \| clermont-ferrand - \| individual time trial \| 16 km (9.9 mi) \| angel arroyo (esp) row 17 : 16 \| 17 july \| issoire - saint-etienne \| hilly stage \| 144 km (89 mi) \| michel laurent (fra row 18 : 17 \| 18 july \| la tour-du-pin - alpe \| stage with mountain(s) \| 223 km (139 mi) \| peter winnen (ned) row 19 : 18 \| 20 july \| le bourg-d'oisans \| stage with mountain(s) \| 247 km (153 mi) \| jacques michaud (fra row 20 : 19 \| 21 july \| morzine - avoria \| individual time trial \| 15 km (9.3 mi) \| lucien van impe (bel) row 21 : 20 \| 22 july \| morzine - dijon \| plain stage \| 291 km (181 mi) \| philippe leleu (fr ] Execute this SQL based on the above table: select count ( date )	21
[ header: year \| competition \| venue \| position \| notes row 1 : 1985 \| european indoor championships \| athens, greece \| 1st \| long jump row 2 : 1986 \| european championships \| stuttgart, west germany \| 2nd \| long jump row 3 : 1987 \| european indoor championships \| lievin, france \| 2nd \| long jump row 4 : 1988 \| european indoor championships \| budapest, hungary \| 2nd \| long jump row 5 : 1988 \| summer olympics \| seoul, south korea \| 3rd \| long jump row 6 : 1989 \| european indoor championships \| the hague, netherlands \| 1st \| long jump row 7 : 1989 \| world indoor championships \| budapest, hungary \| 1st \| long jump row 8 : 1990 \| european indoor championships \| glasgow, scotland \| 1st \| long jump row 9 : 1990 \| european indoor championships \| glasgow, scotland \| 1st \| triple jump ] Execute this SQL based on the above table: select year where notes = 'long jump'	1985, 1986, 1987, 1988, 1988, 1989, 1989, 1990
[ header: city \| country \| iata \| icao \| airport \| commenced \| ended row 1 : bangkok \| thailand \| bkk \| vtbs \| suvarnabhumi airport \| 2004 \| present row 2 : chennai \| india \| maa \| vomm \| chennai international airport \| 2007 \| present row 3 : chiang mai \| thailand \| cnx \| vtcc \| chiang mai international airport \| 2005 \| 2008 row 4 : da nang \| vietnam \| dad \| vvdn \| da nang international airport \| 2006 \| 2006 row 5 : dhaka \| bangladesh \| dac \| vghs \| shahjalal international airport \| 2012 \| present row 6 : guangzhou \| china \| can \| zggg \| guangzhou baiyun international airport \| 2006 \| present row 7 : haikou \| china \| hak \| zjhk \| haikou meilan international airport \| 2006 \| present row 8 : hat yai \| thailand \| hdy \| vtss \| hat yai international airport \| 2004 \| present row 9 : ho chi minh city \| vietnam \| sgn \| vvts \| tan son nhat international airport \| 2005 \| present row 10 : hong kong \| hong kong \| hkg \| vhhh \| hong kong international airport \| 2010 \| present row 11 : hyderabad \| india \| hyd \| vohs \| rajiv gandhi international \| 2012 \| present row 12 : kochi \| india \| cok \| voci \| cochin international airport \| 2012 \| present row 13 : krabi \| thailand \| kbv \| vtsg \| krabi airport \| 2005 \| present row 14 : kuala lumpur \| malaysia \| kul \| wmkk \| kuala lumpur international airport \| 2008 \| present row 15 : kuching \| malaysia \| kch \| wbgg \| kuching international airport \| 2008 \| 2013 row 16 : langkawi \| malaysia \| lgk \| wmkl \| langkawi international airport \| 2009 \| 2010 row 17 : lijang \| china \| ljg \| zplj \| lijiang sanyi airport \| 2013 \| present row 18 : lombok \| indonesia \| lop \| wadl \| lombok international airport \| 2013 \| present row 19 : manila \| philippines \| mnl \| rpll \| ninoy aquino international airport \| 2010 \| present row 20 : penang \| malaysia \| pen \| wmkp \| penang international airport \| 2009 \| present row 21 : perth \| australia \| per \| ypph \| perth airport \| 2004 \| present row 22 : phnom penh \| cambodia \| pnh \| vdpp \| phnom penh international airport \| 2012 \| present row 23 : singapore \| singapore \| sin \| wsss \| singapore changi airport[hub \| 2004 \| present row 24 : surabaya \| indonesia \| sub \| warr \| juanda international airport \| 2013 \| present row 25 : taipei \| taiwan \| tpe \| rctp \| taiwan taoy \| 2011 \| present row 26 : thiruvananthapuram \| india \| trv \| votv \| trivandrum international airport \| 2010 \| present row 27 : tiruchirapalli \| india \| trz \| votr \| tiruchirapalli airport \| 2010 \| present row 28 : udon thani \| thailand \| uth \| vtud \| udon thani international airport \| 2007 \| 2007 ] Execute this SQL based on the above table: select country where country in ( 'india' , 'malaysia' ) order by city limit 1	india
[ 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 candidate order by % desc limit 1	peter stoffer
[ header: school \| location \| control \| type \| enrollment \| founded row 1 : air force institute of technology \| wright-patterson af \| public \| dru \| 719 \| 1919 row 2 : california institute of technology \| pasadena, californi \| private \| ru/vh \| 2231 \| 1891 row 3 : california polytechnic state \| san luis obispo, \| public \| master's l \| 18762 \| 1901 row 4 : california state polytechnic \| pomona, california \| public \| master's l \| 22273 \| 1938 row 5 : clarkson university \| potsdam, ny \| private \| ru/h \| 3187 \| 1896 row 6 : colorado school of mines \| golden, colorado \| public \| ru/h \| 4296 \| 1874 row 7 : colorado technical university \| colorado springs, colorad \| private \| dru \| 30020 \| 1965 row 8 : florida institute of technology \| melbourne, florida \| private \| dru \| 8985 \| 1958 row 9 : georgia institute of technology \| atlanta, georgia \| public \| ru/vh \| 20487 \| 1885 row 10 : illinois institute of technology \| chicago, illinois \| private \| ru/h \| 7787 \| 1890 row 11 : massachusetts institute of technology \| cambridge, massachusetts \| private \| ru/vh \| 10894 \| 1861 row 12 : michigan technological university \| houghton, michigan \| public \| ru/h \| 6957 \| 1885 row 13 : missouri university of science and technology \| rolla, missouri \| public \| ru/h \| 7521 \| 1870 row 14 : montana tech of the university of montan \| butte, montana \| public \| bac/diverse \| 2694 \| 1900 row 15 : new jersey institute of technology \| newark, new jersey \| private \| ru/h \| 9558 \| 1881 row 16 : new mexico institute of mining and technology \| socorro, new mexico \| public \| master's m \| 1921 \| 1889 row 17 : oregon institute of technology \| klamath falls, oregon \| public \| bac/diverse \| 3927 \| 1947 row 18 : polytechnic institute of new york university \| brooklyn, new york \| private \| ru/h \| 4514 \| 1854 row 19 : rensselaer polytechnic institute \| troy, new york \| private \| ru/vh \| 7521 \| 1824 row 20 : rochester institute of technology \| henrietta, new york \| private \| master's l \| 17652 \| 1829 row 21 : rose-hulman institute of technology \| terre haute, indiana \| private \| spec/engg \| 1970 \| 1874 row 22 : south dakota school of mines and technology \| rapid city, south dakota \| public \| spec/engg \| 2354 \| 1885 row 23 : southern polytechnic state university \| marietta, georgia \| public \| master's m \| 6202 \| 1948 row 24 : stevens institute of technology \| hoboken, new jersey \| private \| ru/h \| 5260 \| 1870 row 25 : texas tech university \| lubbock, texas \| public \| ru/h \| 32327 \| 1923 row 26 : university of wisconsin-stout \| menomonie, wisconsin \| public \| master's l \| 9339 \| 1891 row 27 : virginia polytechnic institute and state university \| blacksburg, virginia \| public \| ru/vh \| 30739 \| 1872 ] Execute this SQL based on the above table: select count ( location ) where enrollment = 32327	1
[ header: year \| 1st venue \| 2nd venue \| 3rd venue \| 4th venue \| 5th venue \| 6th venue row 1 : 2007 \| sheffield \| mexico city \| nanjing \| None \| None \| None row 2 : 2008 \| tijuana \| sheffield \| nanjing \| None \| None \| None row 3 : 2009 \| doha \| changzhou \| sheffield \| tijuana \| None \| None row 4 : 2010 \| qingdao \| veracruz \| veracruz \| None \| None \| None row 5 : 2011 \| moscow \| beijing \| sheffield \| guanajuato \| None \| None row 6 : 2012 \| dubai \| beijing \| moscow \| tijuana \| None \| None row 7 : 2013 \| beijing \| dubai \| edinburgh \| moscow \| guadalajara \| guadalajara row 8 : 2014 \| beijing \| dubai \| london \| moscow \| windsor \| monterrey ] Execute this SQL based on the above table: select abs ( 1st venue - 3rd venue ) where 1st venue = 'qingdao'	0
[ header: tribunal \| number of autos da fe \| executions in persona \| executions in effigie \| penanced \| total row 1 : barcelona \| 8 \| 1 \| 1 \| 15 \| 17 row 2 : logrono \| 1 \| 1 \| 0 \| 0 \| 1 row 3 : palma de mallorca \| 3 \| 0 \| 0 \| 11 \| 11 row 4 : saragossa \| 1 \| 0 \| 0 \| 3 \| 3 row 5 : valencia \| 4 \| 2 \| 0 \| 49 \| 51 row 6 : las palmas \| 0 \| 0 \| 0 \| 0 \| 0 row 7 : cordoba \| 13 \| 17 \| 19 \| 125 \| 161 row 8 : cuenca \| 7 \| 7 \| 10 \| 35 \| 52 row 9 : santiago de compostela \| 4 \| 0 \| 0 \| 13 \| 13 row 10 : granada \| 15 \| 36 \| 47 \| 369 \| 452 row 11 : llerena \| 5 \| 1 \| 0 \| 45 \| 46 row 12 : madrid \| 4 \| 11 \| 13 \| 46 \| 70 row 13 : murcia \| 6 \| 4 \| 1 \| 106 \| 111 row 14 : seville \| 15 \| 16 \| 10 \| 220 \| 246 row 15 : toledo \| 33 \| 6 \| 14 \| 128 \| 148 row 16 : valladolid \| 10 \| 9 \| 2 \| 70 \| 81 row 17 : total \| 125 \| 111 \| 117 \| 1235 \| 1463 ] Execute this SQL based on the above table: select tribunal where penanced > 529	total
[ header: year \| song \| chart positions us country \| chart positions can country \| album row 1 : 1968 \| "god help you woman" \| 32 \| 24 \| singles only row 2 : 1969 \| "please take me back" \| 40 \| None \| singles only row 3 : 1969 \| "i'm not through loving you" \| 52 \| None \| singles only row 4 : 1969 \| "molly" \| 53 \| None \| singles only row 5 : 1973 \| "i see his love all over you" \| 67 \| None \| singles only row 6 : 1974 \| "fool passin' through" \| 68 \| None \| singles only row 7 : 1974 \| "forgettin' 'bout \| 51 \| None \| singles only row 8 : 1975 \| "one, two, three (never \| 88 \| None \| singles only row 9 : 1975 \| "woman, woman" \| 43 \| 46 \| singles only row 10 : 1976 \| "she's free but she's \| 66 \| None \| singles only row 11 : 1977 \| "chasin' my tail" \| 88 \| None \| singles only row 12 : 1977 \| "don't let my love stand in your \| 86 \| None \| singles only row 13 : 1983 \| "when you're not a lady" \| 16 \| None \| the man in the mirror row 14 : 1983 \| "you got me running" \| 28 \| None \| the man in the mirror row 15 : 1983 \| "the man in the mirror" \| 17 \| None \| the man in the mirror row 16 : 1984 \| "if i could only dance with you" \| 10 \| 10 \| the man in the mirror row 17 : 1984 \| "you're gettin' to me \| 1 \| 3 \| the man in the mirror row 18 : 1984 \| "let me down easy" \| 16 \| 33 \| the man in the mirror row 19 : 1985 \| "i'll be your fool tonight" \| 54 \| None \| past the point of no return row 20 : 1985 \| "in another minute" \| 27 \| None \| past the point of no return row 21 : 1986 \| "if i don't love you" \| 53 \| None \| past the point of no return row 22 : 1986 \| "the lights of albuquerque" \| 40 \| None \| everybody knows i'm yours ] Execute this SQL based on the above table: select max ( chart positions us country )	88.0
[ header: date \| winning team \| score \| losing team \| score \| ot \| city \| state/province \| arena \| attendance row 1 : october 21, 1993 \| st. louis \| 5 \| san jose \| 2 \| None \| sacramento \| ca \| arco arena \| 7144 row 2 : october 31, 1993 \| ny rangers \| 4 \| new jersey \| 1 \| None \| halifax \| ns \| halifax metro centre \| 8200 row 3 : november 3, 1993 \| pittsburgh \| 6 \| buffalo \| 2 \| None \| sacramento \| ca \| arco arena \| 10117 row 4 : november 9, 1993 \| anaheim \| 4 \| dallas \| 2 \| None \| phoenix \| az \| america west arena \| 8143 row 5 : november 18, 1993 \| ny islanders \| 5 \| montreal \| 1 \| None \| hamilton \| on \| copps coliseum \| 17008 row 6 : december 9, 1993 \| dallas \| 6 \| ottawa \| 1 \| None \| minneapolis \| mn \| target center \| 14058 row 7 : december 23, 1993 \| vancouver \| 4 \| calgary \| 3 \| None \| saskatoon \| sk \| saskplace \| 11429 row 8 : december 31, 1993 \| philadelphia \| 4 \| boston \| 3 \| None \| minneapolis \| mn \| target center \| 10855 row 9 : january 4, 1994 \| tampa bay \| 1 \| toronto \| 0 \| None \| hamilton \| on \| copps coliseum \| 17526 row 10 : january 5, 1994 \| montreal \| 2 \| quebec \| 0 \| None \| phoenix \| az \| america west arena \| 11393 row 11 : january 6, 1994 \| st. louis \| 2 \| hartford \| 1 \| None \| cleveland \| oh \| richfield coliseum \| 6956 row 12 : january 17, 1994 \| detroit \| 6 \| tampa bay \| 3 \| None \| minneapolis \| mn \| target center \| 8764 row 13 : january 23, 1994 \| vancouver \| 5 \| edmonton \| 4 \| (ot) \| saskatoon \| sk \| saskplace \| None row 14 : january 24, 1994 \| calgary \| 3 \| los angeles \| 3 \| (ot) \| phoenix \| az \| america west arena \| 14864 row 15 : february 2, 1994 \| washington \| 5 \| philadelphia \| 2 \| None \| cleveland \| oh \| richfield coliseum \| 8312 row 16 : february 8, 1994 \| san jose \| 4 \| chicago \| 3 \| None \| sacramento \| ca \| arco arena \| 14182 row 17 : february 22, 1994 \| florida \| 3 \| winnipeg \| 2 \| None \| hamilton \| on \| copps coliseum \| 6291 row 18 : february 24, 1994 \| detroit \| 3 \| hartford \| 0 \| None \| cleveland \| oh \| richfield coliseum \| 11621 row 19 : march 8, 1994 \| chicago \| 3 \| anaheim \| 0 \| None \| phoenix \| az \| america west arena \| 13847 row 20 : march 9, 1994 \| ny rangers \| 7 \| washington \| 5 \| None \| halifax \| ns \| halifax metro centre \| 9200 row 21 : march 18, 1994 \| buffalo \| 2 \| ny islanders \| 2 \| (ot) \| minneapolis \| mn \| target center \| 8016 ] Execute this SQL based on the above table: select count ( * ) where date = 'january 6, 1994'	1
[ header: date \| opponent# \| rank# \| site \| result \| attendance \| record row 1 : 11/26/1985 \| vs. loyola (chi \| #7 \| assembly hall • champaign, il \| w 95-64 \| 13143 \| 1-0 row 2 : 11/29/1985 \| vs. #13 oklahom \| #7 \| kaneohe armory • hon \| l 57-59 \| 300 \| 2-1 row 3 : 12/4/1985 \| vs. wisconsin-green \| #12 \| assembly hall • champaign, il \| w 84-34 \| 13417 \| 3-1 row 4 : 12/7/1985 \| vs. utah state \| #12 \| assembly hall • champaign (illini classic \| w 115-64 \| 13980 \| 5-1 row 5 : 12/10/1985 \| vs. tennessee \| #10 \| mabee center • tulsa, \| l 51-54 \| 12700 \| 5-2 row 6 : 12/14/1985 \| vs. houston \| #10 \| assembly hall • champaign, il \| w 102-92 \| 15564 \| 6-2 row 7 : 12/23/1985 \| vs. howard \| #15 \| assembly hall • champaign, il \| w 67-55 \| 10043 \| 8-2 row 8 : 12/30/1985 \| vs. iowa state \| #16 \| rosemont horizon • rosemont, il \| w 64-62 \| 9876 \| 9-2 row 9 : 1/2/1986 \| vs. minnesota \| #14 \| assembly hall • champaign, il \| w 76-57 \| 13329 \| 10-2 (1-0) row 10 : 1/4/1986 \| vs. iowa \| #14 \| assembly hall • champaign, il \| l 59-60 \| 16676 \| 10-3 (1-1) row 11 : 1/8/1986 \| @ #2 michigan \| #18 \| crisler arena • ann arbor, \| l 59-61 \| 13609 \| 10-4 (1-2) row 12 : 1/16/1986 \| vs. wisconsin \| #nr \| assembly hall • champaign, il \| w 73-54 \| 12829 \| 11-5 (2-3) row 13 : 1/18/1986 \| vs. northwestern \| #nr \| assembly hall • champaign, il \| w 72-46 \| 13891 \| 12-5 (3-3) row 14 : 1/23/1986 \| @ ohio state \| #nr \| st. john arena • colum \| w 67-65 \| 13071 \| 13-5 (4-3) row 15 : 2/8/1986 \| vs. michigan \| #nr \| assembly hall • champaign, il \| w 83-79 ot \| 16353 \| 15-7 (6-5) row 16 : 2/13/1986 \| @ northwestern \| #nr \| welsh-ryan arena • \| w 75-52 \| 8117 \| 16-7 (7-5) row 17 : 2/15/1986 \| @ wisconsin \| #nr \| wisconsin field house • madison \| w 82-74 \| 10605 \| 17-7 (8-5) row 18 : 2/20/1986 \| vs. #15 indiana \| #nr \| assembly hall • champaign, il \| l 60-61 \| 16349 \| 17-8 (8-6) row 19 : 2/22/1986 \| vs. ohio state \| #nr \| assembly hall • champaign, il \| w 66-62 \| 16376 \| 18-8 (8-7) row 20 : 3/1/1986 \| @ #4 georgia tech \| #12 \| alexander memorial coliseum • \| w 59-57 \| 15148 \| 20-8 ] Execute this SQL based on the above table: select rank# where attendance > 13980	#10, #14, #nr, #nr, #nr, #12
[ header: typ \| construction time \| cylinders \| capacity \| power \| top speed row 1 : vis-a-vis \| 1900-1903 \| 1 \| 400 cc \| 2,6 kw (3,5 p \| 30 km/h (19 mph) row 2 : 45 ps (33 kw; \| 1900-1903 \| 1 \| 510 cc \| 3,3 kw (4,5 ps \| 35 km/h (22 mph) row 3 : 24/28 ps \| 1904-1905 \| 4 inline \| 4,016 cc \| 20,6 kw (28 ps \| 65 km/h (40 mph) row 4 : 8/12 (8/14) ps \| 1904-1906 \| 2 inline \| 2,008 cc \| 8,8-10,3 kw (12-14 \| 50 km/h (31 mph) row 5 : 4/8 ps \| 1906-1907 \| 2 v \| 1,032 cc \| 5,9 kw (8 ps) \| 55 km/h (34 mph) row 6 : 5/9 ps \| 1907-1909 \| 2 inline \| 1,134 cc \| 6,6 kw (9 ps) \| 60 km/h (37 mph) row 7 : 11/18 ps \| 1907-1910 \| 4 inline \| 2,799 cc \| 13,2 kw (18 ps) \| 55 km/h (34 mph) row 8 : 23/50 ps \| 1909-1912 \| 4 inline \| 5,800 cc \| 42,6 kw (58 p \| None row 9 : 13/30 ps \| 1909-1912 \| 4 inline \| 3,180 cc \| 25,7 kw (35 ps \| None row 10 : 10/28 ps \| 1909-1912 \| 4 inline \| 2,612 cc \| 22 kw (30 ps) \| None row 11 : k 7/15 ps \| 1910-1913 \| 4 inline \| 1,768 cc \| 11 kw (15 ps) \| 60 km/h (37 mph) row 12 : 30/70 ps \| 1911-1914 \| 4 inline \| 7,853 cc \| 51 kw (70 ps) \| 115 km/h (71 mph) row 13 : 15/40 ps \| 1913-1914 \| 4 inline \| 3,866 cc \| 33 kw (45 ps) \| 90 km/h (56 mph) row 14 : 25/55 ps \| 1913-1914 \| 4 inline \| 6,457 cc \| 44 kw (60 ps) \| None row 15 : 12/30 ps \| 1914 \| 4 inline \| 3,115 cc \| 25,7 kw (35 ps \| None row 16 : 9/24 (9/30) ps \| 1921-1924 \| 4 inline \| 2,298 cc \| 17,6-22 kw (24-30 \| 65 km/h (40 mph)- row 17 : 18/60 ps \| 1921-1924 \| 4 inline \| 4,712 cc \| 44 kw (60 ps) \| 100 km/h (62 mph) row 18 : 18/80 ps \| 1925-1927 \| 6 inline \| 4,704 cc \| 59 kw (80 ps \| 100 km/h (62 mph) row 19 : standard 8 \| 1928-1933 \| 8 inline \| 3,887 cc \| 51-59 kw (70-80 \| 100 km/h (62 mph)- row 20 : standard 6 3u \| 1933-1934 \| 6 inline \| 2,916 cc \| 44 kw (60 ps) \| 100 km/h (62 mph) ] Execute this SQL based on the above table: select typ order by cylinders - capacity desc limit 1	vis-a-vis
[ header: rank \| name \| nationality \| result \| notes row 1 : None \| huang qiuyan \| china \| 14.39 \| sb row 2 : None \| anastasiya juravlev \| uzbekistan \| 14.21 \| #name? row 3 : None \| zhang hao \| china \| 13.63 \| None row 4 : 4 \| wacharee ritthiwat \| thailand \| 13.54 \| sb row 5 : 5 \| tatyana bocharova \| kazakhstan \| 13.5 \| None row 6 : 6 \| wang kuo-huei \| chinese taipei \| 13.25 \| sb row 7 : 7 \| fumiyo yoshida \| japan \| 13.09 \| None row 8 : 8 \| ngew sin mei \| malaysia \| 12.93 \| None row 9 : 9 \| manisha dey \| india \| 12.83 \| None row 10 : 10 \| thitima muangjan \| thailand \| 12.79 \| None row 11 : 11 \| phan thi thu lan \| vietnam \| 12.75 \| None row 12 : 12 \| lo yu-hsin \| chinese taipei \| 12.69 \| None row 13 : None \| elena bobrovskaya \| kyrgyzstan \| dns \| None ] Execute this SQL based on the above table: select nationality order by rank desc limit 1	chinese taipei
[ header: category \| urban settlements \| population \| male \| female \| inhabited localities in jurisdiction row 1 : urban \| dzhebariki-khaya \| 1694 \| 844 (49.8%) \| 850 (50.2%) \| urban-type settlement of dzhebar row 2 : urban \| khandyga (ханд \| 6638 \| 3326 (49.8%) \| 3312 (50.2%) \| urban-type settlement of khandyg row 3 : rural \| bayagantaysky na \| 1823 \| 884 (48.5%) \| 939 (51.5%) \| selo of krest-khal row 4 : rural \| megino-aldansky n \| 1020 \| 490 (48.0%) \| 530 (52.0%) \| selo of megino-al row 5 : rural \| okhot-perevozovsky \| 142 \| 70 (49.3%) \| 72 (50.7%) \| selo of okhotsky-per row 6 : rural \| sasylsky na \| 555 \| 275 (49.5%) \| 280 (50.5%) \| selo of keskil row 7 : rural \| teploklyuchevsky \| 887 \| 447 (50.4%) \| 440 (49.6%) \| selo of teply row 8 : rural \| tomponsky national nasleg \| 915 \| 458 (50.1%) \| 457 (49.9%) \| selo of topolinoye row 9 : rural \| ynginsky nasleg \| 425 \| 217 (51.1%) \| 208 (48.9%) \| selo of novy selo ] Execute this SQL based on the above table: select count ( category ) where urban settlements = 'tomponsky national nasleg ( томпонскии национальныи наслег)'	0
[ header: date \| opponent# \| rank# \| site \| tv \| result \| attendance row 1 : september 18 \| smu \| #10 \| oklahoma memorial stadium • norman \| None \| w 30-0 \| 53545 row 2 : september 25 \| at pittsburgh \| #11 \| pitt stadium • pittsburgh, pa \| None \| w 55-29 \| 34916 row 3 : october 2 \| #17 usc \| #8 \| oklahoma memorial stadium • norman \| None \| w 33-20 \| 62351 row 4 : october 9 \| vs. #3 texas \| #8 \| cotton bowl • dallas, t \| cbs \| w 48-27 \| 72032 row 5 : october 16 \| #6 colorado \| #2 \| oklahoma memorial stadium • norman \| None \| w 45-17 \| 62501 row 6 : october 23 \| at kansas state \| #2 \| ksu stadium • manhattan \| None \| w 75-28 \| 37198 row 7 : october 30 \| iowa state \| #2 \| oklahoma memorial stadium • norman \| None \| w 39-7 \| 60477 row 8 : november 6 \| at missouri \| #2 \| memorial stadium • columbia, mo \| None \| w 20-3 \| 55098 row 9 : november 13 \| kansas \| #2 \| oklahoma memorial stadium • norman \| abc \| w 56-10 \| 54347 row 10 : november 25 \| #1 nebraska \| #2 \| oklahoma memorial stadium • norman \| abc \| l 31-35 \| 62884 row 11 : december 4 \| at oklahoma state \| #3 \| lewis field • stillwater, ok \| None \| w 58-14 \| 36571 row 12 : january 1 \| vs. #5 auburn \| #3 \| tulane stadium • new orleans \| abc \| w 40-22 \| 84031 ] Execute this SQL based on the above table: select date where date in ( 'november 6' , 'november 6' ) order by attendance limit 1	november 6
[ header: name \| state of residence \| took office \| left office \| president served under row 1 : karl rove \| texas \| january 21, 2001 \| august 31, 2007 \| george w. bush row 2 : barry steven jackson \| ohio \| september 1, 2007 \| january 19, 2009 \| george w. bush row 3 : pete rouse \| south dakota \| january 20, 2009 \| october 1, 2010 \| barack obama row 4 : david axelrod \| illinois \| january 20, 2009 \| january 10, 2011 \| barack obama row 5 : david plouffe \| delaware \| january 10, 2011 \| january 25, 2013 \| barack obama row 6 : valerie jarrett \| illinois \| january 20, 2009 \| present \| barack obama row 7 : daniel pfeif \| delaware \| january 25, 2013 \| present \| barack obama ] Execute this SQL based on the above table: select max ( left office )	present
[ header: date \| race \| competition \| rider \| country \| location row 1 : february 9 \| tour of qatar, stage 3 \| uci asia tour \| tom boonen (bel) \| qatar \| mesaieed row 2 : february 11 \| tour of qatar, stage 5 \| uci asia tour \| tom boonen (bel) \| qatar \| madinat al shamal row 3 : february 18 \| tour of oman, stage 5 \| uci asia tour \| tom boonen (bel) \| oman \| sultan qaboos row 4 : march 11 \| tirreno-adriatico \| uci world ranking \| tom boonen (bel) \| italy \| montecatini terme row 5 : march 26 \| volta a catalunya \| uci protour \| davide malacarne (it \| spain \| cabaces row 6 : may 10 \| giro d'italia, stage \| uci world ranking \| wouter weylandt (bel) \| netherlands \| middelburg row 7 : may 13 \| giro d'italia, stage \| uci world ranking \| jerome pineau (fra) \| italy \| novi ligure row 8 : may 30 \| giro d'italia, premi \| uci world ranking \| jerome pineau (fra) \| italy \| None row 9 : may 30 \| tour of belgium, overall \| uci europe tour \| stijn devolder (bel) \| belgium \| None row 10 : june 23 \| halle-ingooigem \| uci europe tour \| jurgen van de walle (bel) \| belgium \| ingooigem row 11 : july 5 \| tour de france, stage 2 \| uci world ranking \| sylvain chavane \| belgium \| spa row 12 : july 10 \| tour de france, stage 7 \| uci world ranking \| sylvain chavane \| france \| les rousses row 13 : september 12 \| vuelta a espana, \| uci world ranking \| carlos barredo (esp) \| spain \| lagos de covadonga row 14 : october 3 \| circuit franco-belge, stage 4 \| uci europe tour \| wouter weylandt (bel) \| belgium \| tournai row 15 : october 10 \| g.p. beghelli \| uci europe tour \| dario cataldo (ita \| italy \| monteveglio ] Execute this SQL based on the above table: select country where location = 'les rousses'	france
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| brazil \| 13 \| 18 \| 12 \| 43 row 2 : 2 \| argentina \| 7 \| 4 \| 7 \| 18 row 3 : 3 \| chile \| 7 \| 2 \| 3 \| 12 row 4 : 4 \| colombia \| 5 \| 5 \| 4 \| 14 row 5 : 5 \| venezuela \| 4 \| 6 \| 6 \| 16 row 6 : 6 \| uruguay \| 1 \| 1 \| 0 \| 2 row 7 : 7 \| peru \| 0 \| 1 \| 0 \| 1 row 8 : 8 \| panama \| 0 \| 0 \| 2 \| 2 row 9 : 8 \| bolivia \| 0 \| 0 \| 2 \| 2 row 10 : 10 \| paraguay \| 0 \| 0 \| 1 \| 1 ] Execute this SQL based on the above table: select nation order by rank desc limit 1	paraguay
[ header: year \| album \| label \| peak chart positions us \| peak chart positions us r&b row 1 : 1969 \| gimme shelter \| ode \| None \| None row 2 : 1971 \| celebration \| ode \| None \| None row 3 : 1971 \| merry clayton \| ode \| 180 \| 36 row 4 : 1975 \| keep your eye on the sparrow \| ode \| 146 \| 50 row 5 : 1979 \| emotion \| fontana \| None \| None row 6 : 1994 \| miracles \| a&m \| None \| None ] Execute this SQL based on the above table: select album where label = 'ode'	gimme shelter, celebration, merry clayton, keep your eye on the sparrow
[ header: \| poetry prize \| poetry accessit(s) \| honourable mention(s) \| prose prize \| prose accessit(s) \| honourable mention(s) row 1 : 1st edition (1996) \| agustin hermida castro \| None \| None \| beatriz pineiro calvo \| sechu sende \| None row 2 : 2nd edition (1997) \| modesto fraga moure \| roberto x. trab \| None \| marco v. lama del \| rosa aneiros diaz; \| None row 3 : 3rd edition (1998) \| antonio esteban gonz \| jose ricardo velez va \| None \| xabier castro garcia \| None \| None row 4 : 4th edition (1999) \| roberto x. trab \| None \| None \| beatriz pineiro calvo \| None \| None row 5 : 5th edition (2000) \| baldomero iglesia \| unai gonzalez sua \| None \| jaime naveria pedreira \| None \| None row 6 : 6th edition (2001) \| manuel terrin benavides \| baldomero iglesia \| None \| franciso calo lourido \| pedro uris esco \| None row 7 : 7th edition (2002) \| simon iglesias \| salvador moreno perez ; \| None \| xose nicanor \| xaime naveira pedreira \| None row 8 : 8th edition (2003) \| salvador moreno perez ; \| francisco pineiro gonzalez \| None \| xaime dominguez toxo \| xoan xose gar \| None row 9 : 10th edition (2005) \| maria teresa nunez \| amadeo cobas ; una \| None \| francisco pineiro gonzalez \| julio romero su \| None row 10 : 12th edition (2007) \| carmen carames gorgal \| alfredo macias macias \| None \| rafael laso \| francisco pineiro gonzalez \| None row 11 : 15th edition (2010) \| emma pedreira \| manuel garcia diaz pintad \| None \| pepe pol \| noa maria carballa riva \| None row 12 : 16th edition (2011) \| beatriz lorenzo \| jose maria calo ; pa \| None \| xose manuel dopazo \| noa maria carballa riva \| None row 13 : 17th edition (2012) \| jose antonio repeto \| xose otero can \| margarita souviron lopez \| erick hernandez mora \| pepe pol ; xaime domin \| sofia rodriguez sua ] Execute this SQL based on the above table: select count ( )	13
[ header: year \| film \| publisher \| director \| distributor \| worldwide gross \| notes row 1 : 1980 \| superman ii \| dc comics \| richard lester \| warner bros \| $108,185,706 \| sequel to 1978's superman row 2 : 1987 \| superman iv: the quest for peace \| dc comics \| sidney j. furie \| warner bros \| $15,681,020 \| sequel to 1983's superman ii row 3 : 1989 \| the return of swamp thing \| dc comics \| jim wynorski \| millimeter films \| $192,816 \| sequel to 1982's swamp thing row 4 : 1989 \| the punisher \| marvel comics \| mark goldblatt \| artisan entertainment \| $287,434 \| direct-to-video in north america row 5 : 1991 \| teenage mutant ninja turtles i \| mirage comics \| michael pressman \| new line cinema \| $78,656,813 \| sequel to 1990's teenage mutant nin row 6 : 1991 \| the guyver \| chuang yi publishing \| steve wang \| new line cinema \| None \| None row 7 : 1991 \| the rocketeer \| pacific comics \| joe johnston \| walt disney pictures \| $62,000,000 \| None row 8 : 1993 \| the meteor man \| original \| robert townsend \| metro-goldwyn-mayer \| $8,023,147 \| None row 9 : 1994 \| the fantastic four \| marvel comics \| oley sassone \| constantin film \| unreleased \| None row 10 : 1994 \| blankman \| original \| mike binder \| columbia pictures \| $7,941,977 \| None row 11 : 1995 \| tank girl \| dark horse comics \| rachel talalay \| united artists \| $4,064,495 \| None row 12 : 1997 \| star kid \| original \| manny coto \| trimark pictures \| $7,029,025 \| None row 13 : 1998 \| blade \| marvel comics \| stephen norrington \| new line cinema \| $131,183,530 \| None row 14 : 2000 \| x-men \| marvel comics \| bryan singer \| 20th century fox \| $296,339,527 \| None row 15 : 2002 \| spider-man \| marvel comics \| sam raimi \| columbia pictures \| $821,708,551 \| None row 16 : 2003 \| x2: x-men united \| marvel comics \| bryan singer \| 20th century fox \| $407,711,549 \| sequel to 2000's x-men row 17 : 2003 \| hulk \| marvel comics \| ang lee \| universal studios \| $245,360,480 \| None row 18 : 2005 \| man-thing \| marvel comics \| brett leonard \| cinemax \| direct-to-video \| None row 19 : 2008 \| hancock \| original \| peter berg \| columbia pictures \| $624,386,746 \| comedy-drama row 20 : 2008 \| the dark knight \| dc comics \| christopher nolan \| warner bros \| $1,004,558,444 \| sequel to 2005's batman begins row 21 : 2011 \| vs \| original \| jason trost \| image entertainment \| None \| None row 22 : 2012 \| the dark knight rises \| dc comics \| christopher nolan \| warner bros \| $1,084,439,099 \| sequel to 2008's the dark knight row 23 : 2013 \| thor: the dark world \| marvel comics \| alan taylor \| walt disney studios motion pictures \| $629,972,697 \| sequel to 2011's thor row 24 : 2014 \| captain america: the winter soldier \| marvel comics \| anthony and joseph \| walt disney studios motion pictures \| None \| sequel to 2011's captain america: the ] Execute this SQL based on the above table: select count ( * ) where film = 'thor: the dark world'	1
[ header: no \| date \| race \| track \| winner \| reports row 1 : 1 \| 02-09-2008 \| daytona arca 200 \| daytona \| michael annett \| report row 2 : 2 \| 04-13-2008 \| kentuckiana ford dealers 200 \| salem speedway \| justin allgaier \| report row 3 : 3 \| 04-19-2008 \| prairie meadows 250 \| iowa speedway \| matt hawkins \| report row 4 : 4 \| 04-25-2008 \| kansas lottery $150 grand \| kansas speedway \| scott speed \| report row 5 : 5 \| 05-04-2008 \| carolina 500 \| rockingham \| joey logano \| report row 6 : 6 \| 05-10-2008 \| drive smart! 150 \| kentucky \| ricky stenhouse, jr \| report row 7 : 7 \| 05-18-2008 \| hantz group 200 \| toledo \| matt carter \| report row 8 : 8 \| 06-07-2008 \| pocono 200 \| pocono \| ricky stenhouse, jr \| report row 9 : 9 \| 06-14-2008 \| racing for wildlife 200 \| michigan \| justin lofton \| report row 10 : 10 \| 06-29-2008 \| cayuga arca re/max \| cayuga \| justin allgaier \| report row 11 : 11 \| 07-18-2008 \| kentucky 150 \| kentucky \| scott speed \| report row 12 : 12 \| 07-26-2008 \| berlin arca 200 \| berlin \| scott speed \| report row 13 : 13 \| 08-02-2008 \| pennsylvania 200 \| pocono \| justin allgaier \| report row 14 : 14 \| 08-09-2008 \| toyota arca 150 \| nashville ss \| scott speed \| report row 15 : 15 \| 08-17-2008 \| allen crowe 100 \| springfield \| frank kimmel \| report row 16 : 16 \| 09-01-2008 \| southern illinois 100 \| duquoin \| frank kimmel \| report row 17 : 17 \| 09-06-2008 \| chicagoland arca 200 \| chicagoland \| scott lagasse jr \| report row 18 : 18 \| 09-13-2008 \| eddie gilstrap motors \| salem \| frank kimmel \| report row 19 : 19 \| 09-28-2008 \| loud energy drink 150 \| njmp \| justin allgaier \| report row 20 : 20 \| 10-03-2008 \| food world 250 \| talladega \| justin allgaier \| report row 21 : 21 \| 10-12-2008 \| toledo arca 200 \| toledo \| justin allgaier \| report ] Execute this SQL based on the above table: select sum ( no )	231.0
[ header: season \| tier \| division \| place row 1 : 1928-84 \| 5 \| regional \| None row 2 : 1984/85 \| 4 \| 3a \| 6th row 3 : 1985/86 \| 4 \| 3a \| 9th row 4 : 1986/87 \| 4 \| 3a \| 11th row 5 : 1987/88 \| 4 \| 3a \| 15th row 6 : 1988/89 \| 4 \| 3a \| 4th row 7 : 1989/90 \| 4 \| 3a \| 9th row 8 : 1990/91 \| 4 \| 3a \| 9th row 9 : 1991/92 \| 4 \| 3a \| 5th row 10 : 1992/93 \| 4 \| 3a \| 17th row 11 : 1993/94 \| 4 \| 3a \| 7th row 12 : 1994/95 \| 4 \| 3a \| 4th row 13 : 1995/96 \| 4 \| 3a \| 1st row 14 : 1996/97 \| 3 \| 2ab \| 19th row 15 : 1997/98 \| 4 \| 3a \| 2nd ] Execute this SQL based on the above table: select sum ( tier )	60.0
[ header: year \| film \| role \| language row 1 : 2004 \| 7g rainbow colony \| kadhir \| tamil row 2 : 2005 \| sukran \| ravi shankar \| tamil row 3 : 2005 \| ponniyin selvan \| venu \| tamil row 4 : 2006 \| kedi \| raghu \| tamil row 5 : 2008 \| brahmanandam drama company \| ravi \| telugu row 6 : 2008 \| netru indru naal \| vetri \| tamil row 7 : 2008 \| ninna nedu rep \| vijay \| telugu row 8 : 2009 \| kadhalna summa \| vetrivel \| tamil row 9 : 2011 \| aaranya kaandam \| sappai \| tamil ] Execute this SQL based on the above table: select role where role != 'vetrivel' and language = ( select language where role = 'vetrivel' )	kadhir, ravi shankar, venu, raghu, vetri, sappai
[ header: rank \| country/territory \| miss supranational \| 1st runner-up \| 2nd runner-up \| 3rd runner-up \| 4th runner-up \| semifinalists \| total row 1 : 2 \| poland \| 1 \| 0 \| 1 \| 0 \| 0 \| 3 \| 5 row 2 : 3 \| philippines \| 1 \| 0 \| 0 \| 1 \| 0 \| 0 \| 2 row 3 : 4 \| panama \| 1 \| 0 \| 0 \| 0 \| 0 \| 2 \| 3 row 4 : 5 \| ukraine \| 1 \| 0 \| 0 \| 0 \| 0 \| 2 \| 3 row 5 : 7 \| thailand \| 0 \| 1 \| 0 \| 0 \| 1 \| 1 \| 3 row 6 : 8 \| mexico \| 0 \| 1 \| 0 \| 0 \| 0 \| 0 \| 1 row 7 : 9 \| puerto rico \| 0 \| 0 \| 1 \| 0 \| 0 \| 2 \| 3 row 8 : 13 \| peru \| 0 \| 0 \| 0 \| 1 \| 0 \| 1 \| 2 row 9 : 15 \| indonesia \| 0 \| 0 \| 0 \| 1 \| 0 \| 0 \| 1 row 10 : 16 \| england \| 0 \| 0 \| 0 \| 0 \| 1 \| 1 \| 2 row 11 : 17 \| united states \| 0 \| 0 \| 0 \| 0 \| 1 \| 0 \| 1 row 12 : 17 \| u.s. virgin islands \| 0 \| 0 \| 0 \| 0 \| 1 \| 0 \| 1 row 13 : 20 \| brazil \| 0 \| 0 \| 0 \| 0 \| 0 \| 4 \| 4 row 14 : 21 \| canada \| 0 \| 0 \| 0 \| 0 \| 0 \| 2 \| 2 row 15 : 21 \| dominican republic \| 0 \| 0 \| 0 \| 0 \| 0 \| 2 \| 2 row 16 : 21 \| france \| 0 \| 0 \| 0 \| 0 \| 0 \| 2 \| 2 row 17 : 21 \| greece \| 0 \| 0 \| 0 \| 0 \| 0 \| 2 \| 2 row 18 : 21 \| iceland \| 0 \| 0 \| 0 \| 0 \| 0 \| 2 \| 2 row 19 : 21 \| latvia \| 0 \| 0 \| 0 \| 0 \| 0 \| 2 \| 2 row 20 : 32 \| australia \| 0 \| 0 \| 0 \| 0 \| 0 \| 1 \| 1 row 21 : 32 \| bahamas \| 0 \| 0 \| 0 \| 0 \| 0 \| 1 \| 1 row 22 : 32 \| belgium \| 0 \| 0 \| 0 \| 0 \| 0 \| 1 \| 1 row 23 : 32 \| bosnia and herzegovin \| 0 \| 0 \| 0 \| 0 \| 0 \| 1 \| 1 row 24 : 32 \| denmark \| 0 \| 0 \| 0 \| 0 \| 0 \| 1 \| 1 row 25 : 32 \| french polynesia \| 0 \| 0 \| 0 \| 0 \| 0 \| 1 \| 1 row 26 : 32 \| hungary \| 0 \| 0 \| 0 \| 0 \| 0 \| 1 \| 1 row 27 : 32 \| korea \| 0 \| 0 \| 0 \| 0 \| 0 \| 1 \| 1 row 28 : 32 \| luxembourg \| 0 \| 0 \| 0 \| 0 \| 0 \| 1 \| 1 row 29 : 32 \| romania \| 0 \| 0 \| 0 \| 0 \| 0 \| 1 \| 1 row 30 : 32 \| spain \| 0 \| 0 \| 0 \| 0 \| 0 \| 1 \| 1 row 31 : 32 \| chinese taipei \| 0 \| 0 \| 0 \| 0 \| 0 \| 1 \| 1 ] Execute this SQL based on the above table: select count ( country/territory ) where miss supranational >= 4	0
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 1998 \| turin marathon \| turin, italy \| 3rd \| marathon \| 2:12:59 row 2 : 2003 \| lisbon marathon \| lisbon, portugal \| 1st \| marathon \| 2:15:31 row 3 : 2004 \| vienna marathon \| vienna, austria \| 3rd \| marathon \| 2:11:24 row 4 : 2004 \| berlin marathon \| berlin, germany \| 5th \| marathon \| 2:09:08 row 5 : 2005 \| world championships \| helsinki, finland \| 18th \| marathon \| 2:16:33 row 6 : 2006 \| paris marathon \| paris, france \| 4th \| marathon \| 2:08:55 row 7 : 2006 \| lisbon marathon \| lisbon, portugal \| 1st \| marathon \| 2:21:08 row 8 : 2007 \| world championships \| osaka, japan \| None \| marathon \| dns ] Execute this SQL based on the above table: select count ( * ) where event = 'marathon'	8
[ header: outcome \| no. \| date \| championship \| surface \| opponent in the final \| score in the final row 1 : winner \| 1 \| 20 july 1981 \| bastad, sweden \| clay \| anders jarryd \| 6-2, 6-3 row 2 : runner-up \| 1 \| 21 september 1981 \| bordeaux, france \| clay \| andres gomez \| 6-7, 6-7, 1-6 row 3 : winner \| 2 \| 10 june 1985 \| bologna, italy \| clay \| claudio panatta \| 6-2, 6-0 row 4 : winner \| 3 \| 9 september 1985 \| palermo, italy \| clay \| joakim nystrom \| 6-2, 6-0 row 5 : winner \| 4 \| 23 september 1985 \| barcelona, spain \| clay \| mats wilander \| 0-6, 6-2, 3-6, row 6 : winner \| 5 \| 10 february 1986 \| metz, france \| indoor \| broderick dyke \| 6-4, 6-3 row 7 : runner-up \| 2 \| 28 april 1986 \| indianapolis, u.s \| clay \| andres gomez \| 4-6, 6-7(1-7) row 8 : runner-up \| 3 \| 28 july 1986 \| washington, d.c., \| clay \| karel novacek \| 1-6, 6-7(4-7) row 9 : runner-up \| 4 \| 8 september 1986 \| geneva, switzerland \| clay \| henri leconte \| 5-7, 3-6 ] Execute this SQL based on the above table: select count ( * ) where score in the final = '4-6, 6-7(1-7)'	1
[ header: season \| winner \| score \| runners-up \| venue row 1 : 2000 \| san juan jablote \| 1-0 \| defence force \| marvin lee stadium row 2 : 2001 \| w connection \| 1-0 \| caledonia aia \| manny ramjohn stadium row 3 : 2002 \| defence force \| 2-0 \| w connection \| hasely crawford stadium row 4 : 2003 \| san juan jablote \| 1-1 \| w connection \| manny ramjohn stadium row 5 : 2004 \| w connection \| 2-2 \| defence force \| manny ramjohn stadium row 6 : 2005 \| w connection \| 3-1 \| san juan jablote \| manny ramjohn stadium row 7 : 2006 \| w connection \| 3-1 \| north east stars \| manny ramjohn stadium row 8 : 2007 \| w connection \| 2-0 \| caledonia aia \| manny ramjohn stadium row 9 : 2008 \| w connection \| 2-2 \| joe public \| manny ramjohn stadium row 10 : 2009 \| defence force \| 1-0 \| joe public \| marvin lee stadium row 11 : 2010 \| joe public \| 1-1 \| defence force \| marvin lee stadium row 12 : 2011 \| caledonia aia \| 2-1 \| t&tec \| hasely crawford stadium row 13 : 2012 \| caledonia aia \| 2-1 \| defence force \| hasely crawford stadium row 14 : 2013 \| central fc \| 2-1 \| defence force \| hasely crawford stadium ] Execute this SQL based on the above table: select winner where season = ( select season where winner = 'w connection' ) + 1	defence force
[ header: rank \| player \| points \| points defending \| points won \| new points \| withdrew due to row 1 : 5 \| juan martin del potr \| 5115 \| 720 \| 0 \| 4395 \| right wrist surgery row 2 : 6 \| nikolay davydenko \| 5145 \| 360 \| 0 \| 4785 \| broken wrist row 3 : 20 \| radek stepanek \| 1705 \| 90 \| 0 \| 1615 \| fatigue row 4 : 23 \| tommy haas \| 1660 \| 180 \| 0 \| 1480 \| right hip surgery row 5 : 32 \| gilles simon \| 1395 \| 90 \| 0 \| 1305 \| right knee injury row 6 : 36 \| ivo karlovic \| 1295 \| 10 \| 0 \| 1285 \| right foot injury row 7 : 10 \| kim clijsters \| 3890 \| 0 \| 0 \| 3890 \| left foot injury ] Execute this SQL based on the above table: select player where player != 'kim clijsters' and points won = ( select points won where player = 'kim clijsters' )	juan martin del potro, nikolay davydenko, radek stepanek, tommy haas, gilles simon, ivo karlovic
[ 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 species where state = 'pennsylvania'	balsam fir
[ header: year \| film \| role \| other notes row 1 : 1985 \| king david \| tamar \| None row 2 : 1985 \| mussolini: the untold story \| gina ruberti \| (television mini-series) row 3 : 1991 \| secret friends \| helen \| None row 4 : 1992 \| vsetko co mam rad \| ann \| None row 5 : 1992 \| leon the pig farmer \| lisa \| None row 6 : 1993 \| horse opera \| sandra/marion \| None row 7 : 1996 \| silent trigger \| clegg (spotter) \| None row 8 : 1997 \| david \| michal \| (television film) row 9 : 2000 \| ted & ralph \| henrietta spain \| None row 10 : 2000 \| paranoid \| eve \| None row 11 : 2000 \| seven days to live \| claudia \| None row 12 : 2001 \| subterrain \| junkie spirit \| None row 13 : 2001 \| married/unmarried \| amanda \| None row 14 : 2003 \| sitting ducks \| christine \| None row 15 : 2005 \| zerophilia \| sydney \| None row 16 : 2007 \| permanent vacation \| kathleen bury \| None row 17 : 1982 \| into the labyrinth \| christine \| episode: phantom row 18 : 1984 \| grange hill \| trudy \| episode: 7.8 episode: 7.9 row 19 : 1989 \| only fools and horses \| carmen \| episode: the unlucky winner is row 20 : 1989 \| screen two \| greta \| episode: sitting targets row 21 : 1989 \| blackeyes \| blackeyes \| episode 1.1 episode 1.2 episode 1.3 episode row 22 : 1991 \| the storyteller \| eurydice \| episode: orpheus and eury row 23 : 1994 \| little napoleons \| liz blakemore \| episode: the big interview row 24 : 1996 \| scene \| athene nike/trainer \| episode: young jung row 25 : 1996 \| sharman \| kiki \| episode 1.1 row 26 : 1999 \| jonathan creek \| samantha \| episode: ghost's forge row 27 : 2000-2004 \| coupling \| jane christie \| 28 episodes row 28 : 2003 \| waking the dead \| frannie henning \| episode: final cut: part 1 episode: final row 29 : 2005 \| the last detective \| caroline \| episode: friends reunited row 30 : 2007 \| hotel babylon \| marina stoll \| episode: 2.2 (bbc television drama row 31 : 2007 \| jekyll \| claire jackman \| episode: 1.1 episode: 1.2 episode: row 32 : 2007 \| nearly famous \| traci reed \| episode: 1.1 episode: 1.2 episode: row 33 : 2007 \| heroes and villains \| catherine carteaux \| episode: napoleon (television row 34 : 2008 \| the wrong door \| pilot instructor/jill \| episode: njarnia episode: the row 35 : 2008-2012 \| leverage \| sophie devereaux \| 72 episodes row 36 : 2013 \| ripper street \| jemima swann \| series 2, episode 6 ] Execute this SQL based on the above table: select count ( film ) where role = 'henrietta spain'	1
[ header: drop(s) \| multiplayer map(s) \| spec ops mission(s) \| face off map(s) \| xbox 360 release date \| playstation 3 release date row 1 : 1-2 \| liberation & piazza \| None \| None \| 24 january 2012 \| 28 february 2012 row 2 : 3 \| overwatch \| None \| None \| 21 february 2012 \| 29 march 2012 row 3 : 4-6 \| black box \| black ice & negotiator \| None \| 13 march 2012 \| 12 april 2012 row 4 : 7-8 \| sanctuary & foundation \| None \| None \| 10 april 2012 \| 10 may 2012 row 5 : 9-12 \| oasis \| iron clad & kill switch \| getaway & lookout \| 15 may 2012 \| 14 june 2012 row 6 : 13-15 \| None \| arctic recon \| vortex, u-turn & intersection \| 19 june 2012 \| 19 july 2012 row 7 : 16-18 \| decommission & offshore \| vertigo \| None \| 17 july 2012 \| 16 august 2012 row 8 : 19-21 \| None \| special delivery, light 'em up \| None \| 7 august 2012 \| 6 september 2012 row 9 : 22-24 \| parish, gulch & boardwalk \| None \| None \| 5 september 2012 \| 9 october 2012 ] Execute this SQL based on the above table: select multiplayer map(s) order by drop(s) desc limit 1	parish, gulch & boardwalk
[ 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 competition order by apps. limit 1	fourth division
[ header: season \| network \| play-by-play \| color commentator(s) \| sideline reporter(s) row 1 : 1969 \| cbs \| jack whitaker \| frank gifford and don per \| None row 2 : 1968 \| cbs \| ray scott \| paul christman \| frank glieber row 3 : 1967 \| cbs \| frank glieber \| frank gifford \| None row 4 : 1966 \| cbs \| chuck thompson \| tom brookshier \| None row 5 : 1965 \| cbs \| frank glieber (first half \| pat summerall \| None row 6 : 1964 \| cbs \| jack drees (first half \| frank gifford \| None row 7 : 1963 \| cbs \| ray scott (first half) and \| frank gifford \| None row 8 : 1962 \| cbs \| chris schenkel (first half \| warren lahr \| None row 9 : 1961 \| cbs \| chris schenkel (first half \| johnny lujack \| None ] Execute this SQL based on the above table: select network where network in ( 'cbs' , 'cbs' ) order by season desc limit 1	cbs
[ header: party \| previous council \| staying councillors \| seats up for election \| election result \| new council row 1 : conservatives \| 29 \| 19 \| 10 \| 8 \| 28 row 2 : labour \| 19 \| 13 \| 6 \| 10 \| 23 row 3 : socialist alternative \| 3 \| 2 \| 1 \| 0 \| 2 row 4 : liberal democrats \| 2 \| 1 \| 1 \| 0 \| 1 row 5 : british national party \| 0 \| 0 \| 0 \| 0 \| 0 row 6 : green \| 0 \| 0 \| 0 \| 0 \| 0 row 7 : independent \| 0 \| 0 \| 0 \| 0 \| 0 row 8 : respect \| 0 \| 0 \| 0 \| 0 \| 0 row 9 : total \| 54 \| 36 \| 18 \| 18 \| 54 ] Execute this SQL based on the above table: select party where party = 'total'	total
[ header: member \| party \| term row 1 : john ryan \| none \| 1859-1864 row 2 : james martin \| none \| 1864-1869 row 3 : james watson \| none \| 1869-1880 row 4 : james carroll \| independent protectionist \| 1894-1895 row 5 : james carroll \| protectionist \| 1895-1901 row 6 : james carroll \| progressive \| 1901-1904 row 7 : andrew kelly \| labor \| 1904-1913 row 8 : thomas brown \| labor \| 1913-1917 row 9 : ernest buttenshaw \| nationalist \| 1917-1920 row 10 : ernest buttenshaw \| country \| 1927-1938 row 11 : griffith evans \| country \| 1938-1943 row 12 : john chanter \| labor \| 1943-1947 row 13 : robert medcalf \| country \| 1947-1950 row 14 : ian armstrong \| national \| 1981-2007 ] Execute this SQL based on the above table: select count ( * ) where party = 'country' and party = 'labor'	0
[ header: value \| diameter \| composition \| 1979-1989 obverse \| 1979-1989 reverse row 1 : 1 cent \| 18 mm \| bronze \| state arms \| frigate birds row 2 : 2 cents \| 21 mm \| bronze \| state arms \| b'abal plant row 3 : 5 cents \| 19 mm \| cupronickel \| state arms \| tokay gecko row 4 : 10 cents \| 24 mm \| cupronickel \| state arms \| breadfruit row 5 : 20 cents \| 29 mm \| cupronickel \| state arms \| dolphins row 6 : 50 cents \| 32 mm \| cupronickel \| state arms \| panda nut plant row 7 : 1 dollar \| 30 mm \| cupronickel \| state arms \| outrigger canoe row 8 : 2 dollars \| 29 mm \| nickel-brass \| state arms \| meeting lodge/"tenth anniversary of independence" ] Execute this SQL based on the above table: select value where composition = 'cupronickel'	0.05, 0.1, 0.2, 0.5, 1.0
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 1994 \| european championships \| helsinki, finland \| 48th \| marathon \| 2:22:49 row 2 : 1995 \| world championships \| gothenburg, sweden \| 49th \| marathon \| 2:33:42 row 3 : 1996 \| summer olympics \| atlanta, georgia \| 58th \| marathon \| 2:23:14 row 4 : 1997 \| world championships \| athens, greece \| 48th \| marathon \| 2:29:10 row 5 : 1998 \| world cross country championships \| marrakech, morocco \| 85th \| long race \| None row 6 : 1998 \| world half marathon championships \| uster, switzerland \| 66th \| half marathon \| 1:05:00 row 7 : 1998 \| european championships \| budapest, hungary \| 29th \| marathon \| 2:19:38 row 8 : 1999 \| world half marathon championships \| palermo, italy \| 55th \| half marathon \| 1:05:45 row 9 : 1999 \| frankfurt marathon \| frankfurt, germany \| 1st \| marathon \| 2:12:37 row 10 : 1999 \| helsinki marathon \| helsinki, finland \| 1st \| marathon \| 2:19:18 row 11 : 2000 \| summer olympics \| sydney, australia \| 35th \| marathon \| 2:19:41 row 12 : 2001 \| frankfurt marathon \| frankfurt, germany \| 1st \| marathon \| 2:11:09 row 13 : 2002 \| paris marathon \| paris, france \| 2nd \| marathon \| 2:08:53 row 14 : 2002 \| european championships \| munich, germany \| 2nd \| marathon \| 2:13:18 row 15 : 2002 \| fukuoka marathon \| fukuoka, japan \| 4th \| marathon \| 2:10:14 row 16 : 2003 \| joongang seoul marathon \| seoul, south korea \| 1st \| marathon \| 2:09:15 row 17 : 2004 \| summer olympics \| athens, greece \| 26th \| marathon \| 2:18:09 row 18 : 2004 \| joongang seoul marathon \| seoul, south korea \| 1st \| marathon \| 2:09:34 row 19 : 2005 \| joongang seoul marathon \| seoul, south korea \| 4th \| marathon \| 2:12:12 row 20 : 2006 \| paris marathon \| paris, france \| 12th \| marathon \| 2:11:25 row 21 : 2007 \| world championships \| osaka, japan \| None \| marathon \| dnf row 22 : 2007 \| beppu-oita marathon \| beppu-oita, japan \| 8th \| marathon \| 2:14:49 row 23 : 2008 \| summer olympics \| beijing, china \| 75th \| marathon \| 2:39:01 ] Execute this SQL based on the above table: select count ( * ) where year > 1	23
[ 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 order by average receipt per visitor 2009 (usd/turista) desc limit 1	panama
[ header: \| district \| headquarters \| population (2011) \| males \| females \| percentage decadal growth 2001-2011 \| sex ratio \| density (persons per km2) \| child population 0-6 years \| child sex ratio \| literacy rate row 1 : 1 \| angul \| angul \| 1271703 \| 654898 \| 616805 \| 11.55 \| 942 \| 199 \| 145690 \| 884 \| 78.96 row 2 : 3 \| balasore \| baleswar \| 2317419 \| 1184371 \| 1133048 \| 14.47 \| 957 \| 609 \| 274432 \| 941 \| 80.66 row 3 : 4 \| bargarh \| bargarh \| 1478833 \| 748332 \| 730501 \| 9.84 \| 976 \| 253 \| 156185 \| 946 \| 75.16 row 4 : 5 \| bhadrak \| bhadrak \| 1506522 \| 760591 \| 745931 \| 12.95 \| 981 \| 601 \| 176793 \| 931 \| 83.25 row 5 : 7 \| cuttack \| cuttack \| 2618708 \| 1339153 \| 1279555 \| 11.87 \| 955 \| 666 \| 251152 \| 913 \| 84.2 row 6 : 9 \| dhenkanal \| dhenkanal \| 1192948 \| 612597 \| 580351 \| 11.82 \| 947 \| 268 \| 132647 \| 870 \| 79.41 row 7 : 11 \| ganjam \| chhatrapur \| 3520151 \| 1777324 \| 1742827 \| 11.37 \| 981 \| 429 \| 397920 \| 899 \| 71.88 row 8 : 12 \| jagatsinghpur \| jagatsinghpur \| 1136604 \| 577699 \| 558905 \| 7.44 \| 967 \| 681 \| 103517 \| 929 \| 87.13 row 9 : 13 \| jajpur \| jajpur \| 1826275 \| 926058 \| 900217 \| 12.43 \| 972 \| 630 \| 207310 \| 921 \| 80.44 row 10 : 14 \| jharsuguda \| jharsuguda \| 579499 \| 297014 \| 282485 \| 12.56 \| 951 \| 274 \| 61823 \| 938 \| 78.36 row 11 : 16 \| kandhamal \| phulbani \| 731952 \| 359401 \| 372551 \| 12.92 \| 1037 \| 91 \| 106379 \| 960 \| 65.12 row 12 : 19 \| khordha \| khordha \| 2246341 \| 1166949 \| 1079392 \| 19.65 \| 925 \| 799 \| 222275 \| 910 \| 87.51 row 13 : 21 \| malkangiri \| malkangiri \| 612727 \| 303913 \| 308814 \| 21.53 \| 1016 \| 106 \| 105636 \| 979 \| 49.49 row 14 : 23 \| nabarangapur \| nabarangpur \| 1218762 \| 604046 \| 614716 \| 18.81 \| 1018 \| 230 \| 201901 \| 988 \| 48.2 row 15 : 26 \| puri \| puri \| 1697983 \| 865209 \| 832774 \| 13 \| 963 \| 488 \| 164388 \| 924 \| 85.37 row 16 : 28 \| sambalpur \| sambalpur \| 1044410 \| 529424 \| 514986 \| 12.24 \| 973 \| 158 \| 112946 \| 931 \| 76.91 row 17 : 30 \| sundergarh \| sundergarh \| 2080664 \| 1055723 \| 1024941 \| 13.66 \| 971 \| 214 \| 249020 \| 937 \| 74.13 ] Execute this SQL based on the above table: select percentage decadal growth 2001-2011 order by population (2011) asc limit 1	12.56
[ header: date \| name of ship \| nationality \| tonnage \| fate row 1 : 5 june 1940 \| ss stancor \| united kingdom \| 798 \| sunk at 58°48′n row 2 : 7 june 1940 \| ss frances massey \| united kingdom \| 4212 \| sunk at 55°33′n 08 row 3 : 7 june 1940 \| ss eros \| united kingdom \| 5888 \| damaged at 55°33′n 08°26 row 4 : 11 june 1940 \| ss violando n go \| greece \| 2375 \| sunk at 44°04′n 12 row 5 : 19 june 1940 \| mv tudor \| norway \| 6607 \| sunk at 45°10′n 11 row 6 : 19 june 1940 \| ss baron loudoun \| united kingdom \| 3164 \| sunk at 45°00′n 11 row 7 : 19 june 1940 \| ss british monarch \| united kingdom \| 5661 \| sunk at 45°00′n 11 row 8 : 20 june 1940 \| mv moerdrecht \| netherlands \| 7493 \| sunk at 43°34′n 14 row 9 : 16 august 1940 \| ss hedrun \| sweden \| 2325 \| sunk at 57°10′n row 10 : 19 august 1940 \| ss ville de gand \| belgium \| 7590 \| sunk at 55°28′n 15 row 11 : 24 august 1940 \| ss la brea \| united kingdom \| 6666 \| sunk at 57°24′n row 12 : 25 august 1940 \| ss empire merlin \| united kingdom \| 5763 \| sunk at 58°30′n row 13 : 25 august 1940 \| mv athelcrest \| united kingdom \| 6825 \| sunk at 58°24′n ] Execute this SQL based on the above table: select nationality order by tonnage limit 1	united kingdom
[ header: date \| round \| opponents \| h / a \| result f-a \| scorers \| attendance row 1 : 19 september 1984 \| round 1 first leg \| raba eto gyor \| h \| 3-0 \| robson, muhren, hughes \| 33119 row 2 : 3 october 1984 \| round 1 second leg \| raba eto gyor \| a \| 2-2 \| brazil, muhren (pen) \| 26000 row 3 : 24 october 1984 \| round 2 first leg \| psv eindhoven \| a \| 0-0 \| None \| 27500 row 4 : 7 november 1984 \| round 2 second leg \| psv eindhoven \| h \| 1-0 \| strachan (pen) \| 39281 row 5 : 28 november 1984 \| round 3 first leg \| dundee united \| h \| 2-2 \| strachan (pen), robson \| 48278 row 6 : 12 december 1984 \| round 3 second leg \| dundee united \| a \| 3-2 \| hughes, mcginn \| 21821 row 7 : 6 march 1985 \| quarter-final first leg \| videoton \| h \| 1-0 \| stapleton \| 35432 row 8 : 20 march 1985 \| quarter-final second leg \| videoton \| a \| 0-1 (4-5 p) \| None \| 25000 ] Execute this SQL based on the above table: select count ( distinct ( attendance ) ) where h / a = 'a'	4
[ header: # \| name \| position \| birthday \| size \| weight \| last team row 1 : 4 \| tom lipke \| guard/ forward \| 12.04.1986 \| 1,96 m \| 98 kg \| bremen roosters row 2 : 5 \| muamer taletovic \| guard \| 02.04.1976 \| 1,87 m \| 90 kg \| hertener lowen row 3 : 6 \| david watson \| guard \| 16.09.1988 \| 1,84 m \| 78 kg \| ssc karlsru row 4 : 7 \| brandon gary \| forward \| 26.01.1983 \| 2,03 m \| 100 kg \| iserlohn kangaroos row 5 : 8 \| theodis tarver \| center \| 09.07.1984 \| 2,06 m \| 110 kg \| bremen roosters row 6 : 9 \| stefan svitek \| forward \| 25.05.1977 \| 2,03 m \| 108 kg \| chemosvit svit row 7 : 10 \| michael baumer \| guard \| 08.08.1990 \| 1,80 m \| 68 kg \| bg karlsruhe row 8 : 11 \| clifford crawford \| guard \| 07.01.1981 \| 1,92 m \| 98 kg \| bremen roosters row 9 : 12 \| max roser \| guard/ forward \| 31.07.1988 \| 1,94 m \| 87 kg \| sg bad durkheim/spe row 10 : 13 \| edward seward \| center \| 20.10.1978 \| 2,06 m \| 110 kg \| aschersleben tiger row 11 : 14 \| julius parrisius \| guard \| 01.08.1985 \| 1,85 m \| 85 kg \| union shops rastatt row 12 : 15 \| leo niebuhr \| forward \| 04.08.1986 \| 2,06 m \| 88 kg \| sg braunschweig row 13 : 16 \| alexander rueck \| guard \| 24.03.1984 \| 1,89 m \| 85 kg \| union shops rastatt row 14 : 17 \| matthias hurst \| forward/ center \| 06.10.1989 \| 2,04 m \| 86 kg \| bg karlsruhe ] Execute this SQL based on the above table: select count ( last team ) where id > ( select id where last team = '4' )	0
[ header: pos \| no \| driver \| constructor \| laps \| time/retired \| grid row 1 : 1 \| 12 \| clay regazzoni \| ferrari \| 60 \| 1:01:25.34 \| 3 row 2 : 2 \| 4 \| patrick depailler \| tyrrell-ford \| 60 \| + 0:08.35 \| 5 row 3 : 3 \| 2 \| jochen mass \| mclaren-ford \| 60 \| + 0:15.44 \| 4 row 4 : 4 \| 5 \| ronnie peterson \| lotus-ford \| 60 \| + 0:40.14 \| 10 row 5 : 5 \| 18 \| john watson \| surtees-ford \| 60 \| + 0:45.55 \| 6 row 6 : 6 \| 8 \| carlos pace \| brabham-ford \| 60 \| + 0:45.90 \| 7 row 7 : 7 \| 16 \| tom pryce \| shadow-ford \| 60 \| + 0:46.66 \| 8 row 8 : 8 \| 24 \| james hunt \| hesketh-ford \| 59 \| + 1 lap \| 11 row 9 : 9 \| 31 \| chris amon \| ensign-ford \| 59 \| + 1 lap \| 9 row 10 : 10 \| 21 \| jacques laffite \| williams-ford \| 59 \| + 1 lap \| 13 row 11 : 11 \| 9 \| vittorio brambilla \| march-ford \| 58 \| + 2 laps \| 12 row 12 : 12 \| 22 \| rolf stommelen \| hill-ford \| 58 \| + 2 laps \| 14 row 13 : 13 \| 35 \| tony trimmer \| maki-ford \| 54 \| + 6 laps \| 16 row 14 : nc \| 20 \| jo vonlanthen \| williams-ford \| 51 \| + 9 laps \| 15 row 15 : ret \| 17 \| jean-pierre jarier \| shadow-ford \| 33 \| transmission \| 1 row 16 : ret \| 1 \| emerson fittipaldi \| mclaren-ford \| 6 \| clutch \| 2 ] Execute this SQL based on the above table: select laps group by laps having count ( driver ) > ( select count ( driver ) where no = 54 )	33, 51, 54, 58, 59, 6, 60
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 6 september 1994 \| bazaly, ostrava \| malta \| 6-1 \| 6-1 \| euro 1996 qualifying row 2 : 2 \| 8 march 1995 \| stadion za luzan \| finland \| 1-0 \| 4-1 \| friendly row 3 : 3 \| 8 march 1995 \| stadion za luzan \| finland \| 2-0 \| 4-1 \| friendly row 4 : 4 \| 29 march 1995 \| bazaly, ostrava \| belarus \| 2-0 \| 4-2 \| euro 1996 qualifying row 5 : 5 \| 29 march 1995 \| bazaly, ostrava \| belarus \| 3-1 \| 4-2 \| euro 1996 qualifying row 6 : 6 \| 26 april 1995 \| letna stadium, prague \| netherlands \| 3-1 \| 3-1 \| euro 1996 qualifying row 7 : 7 \| 7 october 1995 \| dinamo stadium, minsk \| belarus \| 2-0 \| 2-0 \| euro 1996 qualifying row 8 : 8 \| 15 november 1995 \| letna stadium, prague \| luxembourg \| 3-0 \| 3-0 \| euro 1996 qualifying row 9 : 9 \| 30 june 1996 \| wembley stadium, london \| germany \| 1-0 \| 1-2 \| euro 1996 row 10 : 10 \| 18 september 1996 \| na stinadle \| malta \| 1-0 \| 6-0 \| 1998 world cup qualification row 11 : 11 \| 18 september 1996 \| na stinadle \| malta \| 3-0 \| 6-0 \| 1998 world cup qualification row 12 : 12 \| 26 february 1997 \| zimni stadion, pod \| belarus \| 4-1 \| 4-1 \| friendly row 13 : 13 \| 14 october 1998 \| na stinadle \| estonia \| 2-0 \| 4-1 \| euro 2000 qualifying row 14 : 14 \| 14 october 1998 \| na stinadle \| estonia \| 3-0 \| 4-1 \| euro 2000 qualifying row 15 : 15 \| 27 march 1999 \| na stinadle \| lithuania \| 2-0 \| 2-0 \| euro 2000 qualifying row 16 : 16 \| 5 june 1999 \| kadrioru stadium, tall \| estonia \| 1-0 \| 2-0 \| euro 2000 qualifying row 17 : 17 \| 8 september 1999 \| na stinadle \| bosnia and herzegovin \| 2-0 \| 3-0 \| euro 2000 qualifying row 18 : 18 \| 3 june 2000 \| frankenstadion, nurember \| germany \| 2-2 \| 2-3 \| friendly ] Execute this SQL based on the above table: select count ( competition ) where opponent not null	18
[ header: year \| single \| charts fr \| charts bel wa \| charts swi \| certification \| album row 1 : 1997 \| "sur la route" \| 14 \| None \| None \| \| la derniere annee row 2 : 2000 \| "j'en reve encore" \| 7 \| 4 \| None \| \| marcher dans le sable row 3 : 2001 \| "une seule vie (marcher dans le \| 30 \| None \| None \| \| marcher dans le sable row 4 : 2001 \| "tomber" \| 35 \| None \| None \| \| marcher dans le sable row 5 : 2004 \| "elle s'ennuie" \| 35 \| None \| 73 \| \| None row 6 : 2004 \| "elle danse seule" \| 22 \| None \| 46 \| \| un homme sans racines row 7 : 2011 \| "l'etranger" \| 59 \| None \| None \| \| sur ma route row 8 : 2013 \| "je me souviens de tout" \| 130 \| None \| None \| \| da palmas ] Execute this SQL based on the above table: select min ( charts bel wa )	4.0
[ header: name \| railway \| series \| maker \| dates \| drive \| wheel arrangement \| weight \| power \| notes row 1 : re 465 \| bls, switzerland \| re 465 001-465 00 \| slm, abb \| 1994-97 \| electric \| bo-bo \| 84 t \| 9,520 horsepower (7,099 kw \| most powerful locomotive with only four axles, similar row 2 : prr gg1 \| pennsylvania rail road ( \| 4800-4938, 900-929 \| altoona works, general electric \| 1934-43 \| electric \| 2-c+c-2 (4-6-6-4) \| 208.9 to 216.4 \| 4,629 horsepower (3,452 k \| most scrapped; the prototype and 15 production locomotive row 3 : allegheny \| chesapeake and ohi \| 1600-1659 (c&o), 900 \| lima locomotive works \| 1941-48 \| steam \| 2-6-6-6 \| 544 t \| 7,500 horsepower (5,593 kw \| two on static display row 4 : 060-ea softronic phoen \| romanian railways (cfr) \| 001, 2001-2004 \| softronic craiova \| 2009-present \| electric \| co'co' \| 120 t \| 8,851 horsepower (6,600 kw \| most powerful locomotive with highest continuous tractive effort row 5 : jr freight class ef200 \| jr freight \| None \| hitachi ltd \| 1990- \| electric \| bo'bo'bo' \| 100.8 t \| 8,046 horsepower (6,000 kw) \| most powerful single-frame narrow-gauge locomotive row 6 : china railways hxn5 \| china railways \| hxn50001-hxn \| ge, csr qishu \| 2008- \| diesel-electric \| co'co' \| 150 t \| 6,250 horsepower (4,661 kw \| most powerful diesel-electric locomotive in active production row 7 : china railways hxd1b \| china railways \| hxd1b0001-h \| csr zhuzhou electric \| 2009- \| electric \| co'co' \| 150 t \| 12,874 horsepower (9,600 kw \| most powerful single-frame locomotive in series production row 8 : china railways hxd2b \| china railways \| hxd2b0001-h \| datong electric locomotive, alstom \| 2009- \| electric \| co'co' \| 150 t \| 12,874 horsepower (9,600 kw \| most powerful single-frame locomotive in series production row 9 : china railways hxd1c \| china railways \| hxd1c0001-h \| csr zhuzhou electric \| 2009- \| electric \| co'co' \| 150 t \| 9,655 horsepower (7,200 kw \| None ] Execute this SQL based on the above table: select name where weight < ( select weight where name = 'allegheny' ) order by weight desc limit 1	prr gg1
[ header: year \| political rights \| civil liberties \| status \| president row 1 : 1972 \| 6 \| 6 \| not free \| hamani diori row 2 : 1973 \| 6 \| 6 \| not free \| hamani diori row 3 : 1974 \| 7 \| 6 \| not free \| hamani diori row 4 : 1975 \| 7 \| 6 \| not free \| seyni kountche row 5 : 1976 \| 7 \| 6 \| not free \| seyni kountche row 6 : 1977 \| 7 \| 6 \| not free \| seyni kountche row 7 : 1978 \| 7 \| 6 \| not free \| seyni kountche row 8 : 1979 \| 7 \| 6 \| not free \| seyni kountche row 9 : 1980 \| 7 \| 6 \| not free \| seyni kountche row 10 : 1981 \| 7 \| 6 \| not free \| seyni kountche row 11 : 1982 \| 7 \| 6 \| not free \| seyni kountche row 12 : 1983 \| 7 \| 6 \| not free \| seyni kountche row 13 : 1984 \| 7 \| 6 \| not free \| seyni kountche row 14 : 1985 \| 7 \| 6 \| not free \| seyni kountche row 15 : 1986 \| 7 \| 6 \| not free \| seyni kountche row 16 : 1987 \| 7 \| 6 \| not free \| seyni kountche row 17 : 1988 \| 6 \| 6 \| not free \| ali saibou row 18 : 1989 \| 7 \| 6 \| not free \| ali saibou row 19 : 1990 \| 6 \| 5 \| not free \| ali saibou row 20 : 1991 \| 6 \| 5 \| partly free \| ali saibou row 21 : 1992 \| 5 \| 4 \| partly free \| ali saibou row 22 : 1993 \| 3 \| 4 \| partly free \| ali saibou row 23 : 1994 \| 3 \| 5 \| partly free \| mahamane ousmane row 24 : 1995 \| 3 \| 5 \| partly free \| mahamane ousmane row 25 : 1996 \| 7 \| 5 \| not free \| mahamane ousmane row 26 : 1997 \| 7 \| 5 \| not free \| ibrahim bare mainass row 27 : 1998 \| 7 \| 5 \| not free \| ibrahim bare mainass row 28 : 1999 \| 5 \| 5 \| partly free \| ibrahim bare mainass row 29 : 2000 \| 4 \| 4 \| partly free \| mamadou tandja row 30 : 2001 \| 4 \| 4 \| partly free \| mamadou tandja row 31 : 2002 \| 4 \| 4 \| partly free \| mamadou tandja row 32 : 2003 \| 4 \| 4 \| partly free \| mamadou tandja row 33 : 2004 \| 3 \| 3 \| partly free \| mamadou tandja row 34 : 2005 \| 3 \| 3 \| partly free \| mamadou tandja row 35 : 2006 \| 3 \| 3 \| partly free \| mamadou tandja row 36 : 2007 \| 3 \| 4 \| partly free \| mamadou tandja row 37 : 2008 \| 3 \| 4 \| partly free \| mamadou tandja row 38 : 2009 \| 5 \| 4 \| partly free \| mamadou tandja row 39 : 2010 \| 5 \| 4 \| partly free \| mamadou tandja row 40 : 2011 \| 3 \| 4 \| partly free \| salou djibo ] Execute this SQL based on the above table: select status order by year desc limit 1	partly free
[ header: season \| level \| division \| section \| administration \| position \| movements row 1 : 1999 \| tier 2 \| ykkonen (first division) \| south group \| finnish fa (suo \| 9th \| relegation group - relegate row 2 : 2000 \| tier 3 \| kakkonen (second division) \| south group \| finnish fa (suo \| 2nd \| play-offs - promoted row 3 : 2001 \| tier 2 \| ykkonen (first division) \| south group \| finnish fa (suo \| 9th \| relegated row 4 : 2002 \| tier 3 \| kakkonen (second division) \| south group \| finnish fa (suo \| 2nd \| None row 5 : 2003 \| tier 3 \| kakkonen (second division) \| south group \| finnish fa (suo \| 11th \| relegated row 6 : 2004 \| tier 4 \| kolmonen (third division) \| section 3 \| helsinki & u \| 8th \| None row 7 : 2005 \| tier 4 \| kolmonen (third division) \| section 3 \| helsinki & u \| 6th \| None row 8 : 2006 \| tier 4 \| kolmonen (third division) \| section 2 \| helsinki & u \| 7th \| None row 9 : 2007 \| tier 4 \| kolmonen (third division) \| section 3 \| helsinki & u \| 2nd \| None row 10 : 2008 \| tier 4 \| kolmonen (third division) \| section 3 \| helsinki & u \| 2nd \| None row 11 : 2009 \| tier 4 \| kolmonen (third division) \| section 2 \| helsinki & u \| 1st \| promoted row 12 : 2010 \| tier 3 \| kakkonen (second division) \| group a \| finnish fa (suo \| None \| None ] Execute this SQL based on the above table: select division order by administration asc limit 1	ykkonen (first division)
[ header: rank \| name \| nation \| time \| speed \| note row 1 : 1 \| vilija sereikaite \| lithuania \| 3:33.766 \| 50.522 \| q row 2 : 2 \| ellen van dijk \| netherlands \| 3:35.951 \| 50.011 \| q row 3 : 3 \| joanna rowsell \| united kingdom \| 3:37.641 \| 49.623 \| q row 4 : 4 \| svitlana halyuk \| ukraine \| 3:42.498 \| 48.539 \| q row 5 : 5 \| aksana papko \| belarus \| 3:43.935 \| 48.288 \| None row 6 : 6 \| oxana kozonchuk \| russia \| 3:45.132 \| 47.971 \| None row 7 : 7 \| jarmila machacova \| czech republic \| 3:47.209 \| 47.533 \| None row 8 : 8 \| stephanie pohl \| germany \| 3:47.483 \| 47.476 \| None row 9 : 9 \| lisa brennauer \| germany \| 3:48.017 \| 47.364 \| None row 10 : 10 \| edyta jasinska \| poland \| 3:48.628 \| 47.238 \| None row 11 : 11 \| audrey cordon \| france \| 3:49.376 \| 47.084 \| None row 12 : 12 \| alena amialyusik \| belarus \| 3:49.711 \| 47.015 \| None row 13 : 13 \| hannah mayho \| united kingdom \| 3:50.176 \| 46.92 \| None row 14 : 14 \| viktoriya kondel \| russia \| 3:51.349 \| 46.682 \| None row 15 : 15 \| oksana lyesnik \| ukraine \| 3:51.543 \| 46.643 \| None row 16 : 16 \| elise van hage \| netherlands \| 3:55.349 \| 45.889 \| None row 17 : 17 \| dominika maczka \| poland \| 4:01.597 \| 44.702 \| None ] Execute this SQL based on the above table: select name order by rank desc limit 1	dominika maczka
[ header: year \| film \| publisher \| director \| distributor \| worldwide gross \| notes row 1 : 1980 \| superman ii \| dc comics \| richard lester \| warner bros \| $108,185,706 \| sequel to 1978's superman row 2 : 1987 \| superman iv: the quest for peace \| dc comics \| sidney j. furie \| warner bros \| $15,681,020 \| sequel to 1983's superman ii row 3 : 1989 \| the return of swamp thing \| dc comics \| jim wynorski \| millimeter films \| $192,816 \| sequel to 1982's swamp thing row 4 : 1989 \| the punisher \| marvel comics \| mark goldblatt \| artisan entertainment \| $287,434 \| direct-to-video in north america row 5 : 1991 \| teenage mutant ninja turtles i \| mirage comics \| michael pressman \| new line cinema \| $78,656,813 \| sequel to 1990's teenage mutant nin row 6 : 1991 \| the guyver \| chuang yi publishing \| steve wang \| new line cinema \| None \| None row 7 : 1991 \| the rocketeer \| pacific comics \| joe johnston \| walt disney pictures \| $62,000,000 \| None row 8 : 1993 \| the meteor man \| original \| robert townsend \| metro-goldwyn-mayer \| $8,023,147 \| None row 9 : 1994 \| the fantastic four \| marvel comics \| oley sassone \| constantin film \| unreleased \| None row 10 : 1994 \| blankman \| original \| mike binder \| columbia pictures \| $7,941,977 \| None row 11 : 1995 \| tank girl \| dark horse comics \| rachel talalay \| united artists \| $4,064,495 \| None row 12 : 1997 \| star kid \| original \| manny coto \| trimark pictures \| $7,029,025 \| None row 13 : 1998 \| blade \| marvel comics \| stephen norrington \| new line cinema \| $131,183,530 \| None row 14 : 2000 \| x-men \| marvel comics \| bryan singer \| 20th century fox \| $296,339,527 \| None row 15 : 2002 \| spider-man \| marvel comics \| sam raimi \| columbia pictures \| $821,708,551 \| None row 16 : 2003 \| x2: x-men united \| marvel comics \| bryan singer \| 20th century fox \| $407,711,549 \| sequel to 2000's x-men row 17 : 2003 \| hulk \| marvel comics \| ang lee \| universal studios \| $245,360,480 \| None row 18 : 2005 \| man-thing \| marvel comics \| brett leonard \| cinemax \| direct-to-video \| None row 19 : 2008 \| hancock \| original \| peter berg \| columbia pictures \| $624,386,746 \| comedy-drama row 20 : 2008 \| the dark knight \| dc comics \| christopher nolan \| warner bros \| $1,004,558,444 \| sequel to 2005's batman begins row 21 : 2011 \| vs \| original \| jason trost \| image entertainment \| None \| None row 22 : 2012 \| the dark knight rises \| dc comics \| christopher nolan \| warner bros \| $1,084,439,099 \| sequel to 2008's the dark knight row 23 : 2013 \| thor: the dark world \| marvel comics \| alan taylor \| walt disney studios motion pictures \| $629,972,697 \| sequel to 2011's thor row 24 : 2014 \| captain america: the winter soldier \| marvel comics \| anthony and joseph \| walt disney studios motion pictures \| None \| sequel to 2011's captain america: the ] Execute this SQL based on the above table: select count ( publisher ) where notes = 'None'	0
[ header: party \| candidate \| votes row 1 : labour \| james kinney \| 5513 row 2 : labour \| james east \| 4847 row 3 : labour \| rice sheppard \| 4644 row 4 : citizens' committee \| percy abbott \| 4233 row 5 : citizens' committee \| john bowen \| 4093 row 6 : citizens' committee \| george h. scott \| 3835 row 7 : labour \| james findlay \| 3775 row 8 : labour \| j. j. murray \| 3696 row 9 : citizens' committee \| valentine richards \| 3524 row 10 : citizens' committee \| charles grant \| 3230 row 11 : independent \| charles g. davidson \| 2982 row 12 : independent \| joseph adair \| 2356 ] Execute this SQL based on the above table: select votes where candidate = 'james kinney'	5513.0
[ header: name \| location served \| governorate \| utilization \| helipads \| runways \| shelters \| squadrons \| coordinates row 1 : tha'lah military airbase \| tha'lah \| as-suwayda \| military \| 0 \| 1 \| 16 \| 765 squadron mi-25 766 squad \| 32°42′19′′n 36°24 row 2 : hama military airport \| hama \| hama \| military \| 10 \| 1 \| 20 \| 679 squadron mig-21mf \| 35°07′05′′n 36°42 row 3 : hamdan military airbase \| abu kamal \| deir ez-zor \| military \| None \| None \| None \| None \| 34°28′55′′n 40°53 row 4 : khalkhalah military airbase \| khalkhalah \| as-suwayda \| military \| 20 \| 2 \| 30 \| 945 squadron mig-21bis 9 \| 33°03′40′′n 36°33 row 5 : kowaires military airbase \| kowaires \| aleppo \| military flight training school \| 0 \| 1 \| 11 \| 3 squadron l-39za, \| 36°11′13′′n 37°34 row 6 : marj al-sultan military \| marj al-sultan \| damascus \| military \| 35 \| 1 \| 0 \| 525 squadron mi-8 hip c \| 33°29′13′′n 36°28 row 7 : mezzeh military airport \| mezzeh \| damascus \| military \| 12 \| 1 \| 22 \| 976 squadron sa-324 \| 33°28′39′′n 36°13 row 8 : qabr al-sitt \| beit sahem \| rif dimashq \| military \| 20 \| 1 \| 0 \| 532 squadron mi-2, mi-8 \| 33°27′30′′n 36°21 row 9 : sayqal military airbase \| sayqal \| damascus \| military \| 0 \| 2 \| 44 \| 697 squadron mig-29 6 \| 33°40′56′′n 37°12 row 10 : shayrat air base \| shayrat \| homs \| military \| 0 \| 2 \| 40 \| 675 squadron mig-23m \| 34°29′24′′n 36°54 ] Execute this SQL based on the above table: select name where name in ( 'hamdan military airbase' , 'mezzeh military airport' ) order by shelters desc limit 1	mezzeh military airport
[ header: rank \| athlete \| country \| time \| notes row 1 : None \| nataliya petrusyova \| soviet union \| 1:24.10 \| or row 2 : None \| leah poulos \| united states \| 1:25.41 \| None row 3 : None \| sylvia albrecht \| east germany \| 1:26.46 \| None row 4 : 4 \| karin enke \| east germany \| 1:26.66 \| None row 5 : 5 \| beth heiden \| united states \| 1:27.01 \| None row 6 : 6 \| annie borckink \| netherlands \| 1:27.24 \| None row 7 : 7 \| sylvia burka \| canada \| 1:27.50 \| None row 8 : 8 \| ann-sofie jarnstrom \| sweden \| 1:28.10 \| None row 9 : 9 \| sylvia filipsson \| sweden \| 1:28.18 \| None row 10 : 10 \| annette carlen-karls \| sweden \| 1:28.25 \| None row 11 : 11 \| valentina lalenkova \| soviet union \| 1:28.27 \| None row 12 : 12 \| bjørg eva jen \| norway \| 1:28.55 \| None row 13 : 13 \| sijtje van der lende \| netherlands \| 1:28.72 \| None row 14 : 14 \| sarah docter \| united states \| 1:28.80 \| None row 15 : 14 \| haitske valentijn-pij \| netherlands \| 1:28.80 \| None row 16 : 16 \| erwina rys-feren \| poland \| 1:28.82 \| None row 17 : 17 \| miyoshi kato \| japan \| 1:28.97 \| None row 18 : 18 \| christa rothenburger \| east germany \| 1:29.69 \| None row 19 : 19 \| brenda webster \| canada \| 1:29.84 \| None row 20 : 20 \| irina kuleshova \| soviet union \| 1:29.94 \| None row 21 : 21 \| monika pflug \| west germany \| 1:30.13 \| None row 22 : 22 \| makiko nagaya \| japan \| 1:30.27 \| None row 23 : 23 \| sigrid smuda \| west germany \| 1:30.29 \| None row 24 : 24 \| kathy vogt \| canada \| 1:30.33 \| None row 25 : 25 \| yuko yaegashi- \| japan \| 1:30.72 \| None row 26 : 26 \| lee nam-sun \| south korea \| 1:31.30 \| None row 27 : 27 \| cao guifeng \| china \| 1:31.74 \| None row 28 : 28 \| anneli repola \| finland \| 1:31.76 \| None row 29 : 29 \| silvia brunner \| switzerland \| 1:31.79 \| None row 30 : 30 \| lee seong-ae \| south korea \| 1:32.04 \| None row 31 : 31 \| zhang li \| china \| 1:32.20 \| None row 32 : 32 \| shen zhenshu \| china \| 1:32.49 \| None row 33 : 33 \| brigitte flierl \| west germany \| 1:33.61 \| None row 34 : 34 \| kim yeong-hui \| south korea \| 1:34.17 \| None row 35 : 35 \| kim ferran \| great britain \| 1:34.19 \| None row 36 : 36 \| marzia peretti \| italy \| 1:35.66 \| None row 37 : 37 \| mandy horsepool \| great britain \| 1:36.31 \| None ] Execute this SQL based on the above table: select country order by athlete - notes desc limit 1	soviet union
[ header: place \| team \| titles \| runners-up \| winning years row 1 : 1 \| maccabi tel aviv \| 5 \| 1 \| 2007, 2010, 2011, 2012, 2013 row 2 : 2 \| hapoel jerusalem \| 2 \| 3 \| 2008, 2009 row 3 : 3 \| ironi ashkelon \| 1 \| 0 \| 2006 row 4 : 4 \| maccabi rishon lezion \| 0 \| 1 \| None row 5 : 4 \| ironi nahariya \| 0 \| 1 \| None row 6 : 4 \| hapoel holon \| 0 \| 1 \| None row 7 : 4 \| maccabi ashdod \| 0 \| 1 \| None ] Execute this SQL based on the above table: select titles where team = 'hapoel holon' and titles = 0	0
[ header: manufacturer \| model \| first flight \| max payload (t) \| cruise (km/h) \| max range (km) \| mtow row 1 : airbus \| a330 mrtt \| 2007 \| 45 \| 860 \| 14,800 \| 223 row 2 : airbus \| a400m \| 2009 \| 37 \| 780 \| 9,300 \| 141 row 3 : alenia \| c-27j spartan \| 2008 \| 11.5 \| 583 \| 5,926 \| 31.8 row 4 : antonov \| an-12 \| 1957 \| 20 \| 777 \| 5,700 \| 61 row 5 : antonov \| an-22 antei \| 1965 \| 80 \| 740 \| 5,000 \| 250 row 6 : antonov \| an-26 \| 1969 \| 5.5 \| 440 \| 2,550 \| 24 row 7 : antonov \| an-32 \| 1976 \| 6.7 \| 480 \| 2,500 \| 26.9 row 8 : antonov \| an-70 \| 1994 \| 47 \| 729 \| 6,600 \| 145 row 9 : antonov \| an-72 \| 1977 \| 7.5 \| 600 \| 4,800 \| 33 row 10 : antonov \| an-124 ruslan \| 1982 \| 150 \| 800-850 \| 5,410 \| 405 row 11 : antonov \| an-225 mriya \| 1988 \| 250 \| 800 \| 15,400 \| 600 row 12 : avic \| y-8 \| 1974 \| 20 \| 550 \| 5,616 \| 61 row 13 : avic \| y-9 \| 2008 \| 25 \| 650 \| 7,800 \| 77 row 14 : avic \| y-20 \| 2013 \| 66 \| 700 \| 7,800 \| 220 row 15 : bell/boeing \| v-22 osprey \| 1989 \| 6.8 \| 396 \| 1,627 \| 27.4 row 16 : boeing \| c-17 globemaster iii \| 1991 \| 77.5 \| 830 \| 4,482 \| 265 row 17 : casa \| c-212 aviocar \| 1971 \| 2.8 \| 315 \| 1,433 \| 8 row 18 : casa/indonesian aerospace \| cn-235 \| 1983 \| 5 \| 509 \| 5,003 \| 15.1 row 19 : casa \| c-295 \| 1998 \| 9.3 \| 481 \| 5,630 \| 23.2 row 20 : de havilland canada \| c-7 caribou \| 1958 \| 3.6 \| 348 \| 2,103 \| 14.2 row 21 : douglas \| c-47 \| 1943 \| 3 \| 360 \| 2,600 \| 10.5 row 22 : grumman \| c-2 greyhound \| 1964 \| 4.5 \| 465 \| 2,400 \| 24.7 row 23 : embraer \| kc-390 \| 2014 \| 23 \| 900 \| 6,200 \| 72 row 24 : fairchild \| c-123 provider \| 1949 \| 11 \| 367 \| 1,666 \| 27 row 25 : ilyushin \| il-76 \| 1971 \| 47 \| 900 \| 4,400 \| 210 row 26 : ilyushin \| il-112 \| 2011 \| 5.9 \| 550 \| 5,000 \| 20 row 27 : kawasaki \| c-1 \| 1970 \| 11.9 \| 657 \| 1,300 \| 45 row 28 : kawasaki \| xc-2 \| 2010 \| 37.6 \| 890 \| 6,500 \| 120 row 29 : lockheed \| c-5 galaxy \| 1968 \| 122 \| 907 \| 4,445 \| 381 row 30 : lockheed \| c-130 hercules \| 1954 \| 20 \| 540 \| 3,800 \| 70.3 row 31 : lockheed \| c-141 starlifter \| 1963 \| 45 \| 912 \| 9,880 \| 147 row 32 : pzl mielec \| m-28 skytruck \| 1993 \| 2.5 \| 270 \| 1,500 \| 8 row 33 : short brothers \| c-23 sherpa \| 1982 \| 3.2 \| 296 \| 1,239 \| 3.2 row 34 : transport allianz \| transall c-160 \| 1963 \| 16 \| 513 \| 1,850 \| 49.2 row 35 : uac and hal \| uac/hal multirole transport \| 2015 \| 22 \| 830 \| 2,500 \| 68 ] Execute this SQL based on the above table: select ( select first flight where manufacturer = 'boeing' ) < ( select first flight where manufacturer = 'kawasaki' )	0
[ 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 count ( competition ) where date = 1220	0
[ header: year \| film \| language \| actors \| music \| banner \| note row 1 : 1954 \| ratha paasam \| tamil \| t. k. shanmug \| m. k. athmana \| jupiter pictures & av \| directed by r. s. mani row 2 : 1956 \| amara deepam \| tamil \| sivaji ganesan, \| t. chalapathi r \| venus pictures \| directed by t. prakash row 3 : 1956 \| bhaai bhaai \| hindi \| ashok kumar, kishore \| None \| avm productions \| directed by m. v. rama row 4 : 1964 \| kalai kovil \| tamil \| r. muthuraman \| viswanathan ramamoorthy \| bhagyalakshm \| None row 5 : 1968 \| saathi \| hindi \| rajendra kumar, vy \| naushad \| venus pictures \| None row 6 : 1969 \| sivandha mann \| tamil \| sivaji ganesan, \| m. s. viswanathan \| chitralaya films \| None row 7 : 1971 \| duniya kya jan \| hindi \| None \| None \| None \| None row 8 : 1974 \| urimai kural \| tamil \| mgr, latha \| m. s. viswanathan \| chitrayuga films \| None row 9 : 1975 \| vaira nenjam \| tamil \| sivaji ganesan, \| m. s. viswanathan \| chitralaya films \| None row 10 : 1978 \| ilamai oonjalaa \| tamil \| kamal hassan, rajini \| ilaiyaraaja \| chithrakala pictures \| None row 11 : 1982 \| ninaivellam ni \| tamil \| karthik, jiji, \| ilaiyaraaja \| sivasakthi films \| None row 12 : 1983 \| thudikkum karangal \| tamil \| rajinikanth, radha \| s. p. balasubram \| krg films \| None row 13 : 1984 \| unnaithedi varu \| tamil \| None \| ilaiyaraaja \| None \| None row 14 : 1991 \| thanthu vitten enna \| tamil \| vikram, rohini \| ilaiyaraaja \| chitralaya films \| None ] Execute this SQL based on the above table: select music order by year desc limit 1	ilaiyaraaja
[ header: rank \| athlete \| nationality \| time \| notes row 1 : None \| valeriy borchin \| russia \| 1:19:56 \| None row 2 : None \| vladimir kanay \| russia \| 1:20:27 \| None row 3 : None \| luis fernando lopez \| colombia \| 1:20:38 \| sb row 4 : 4 \| wang zhen \| china \| 1:20:54 \| None row 5 : 5 \| stanislav emelyanov \| russia \| 1:21:11 \| None row 6 : 6 \| kim hyun-sub \| south korea \| 1:21:17 \| None row 7 : 7 \| ruslan dmytrenko \| ukraine \| 1:21:31 \| sb row 8 : 8 \| yusuke suzuki \| japan \| 1:21:39 \| None row 9 : 9 \| alex schwazer \| italy \| 1:21:50 \| sb row 10 : 10 \| erick barrondo \| guatemala \| 1:22:08 \| None row 11 : 11 \| chu yafei \| china \| 1:22:10 \| None row 12 : 12 \| sergey morozov \| russia \| 1:22:37 \| None row 13 : 14 \| matej toth \| slovakia \| 1:22:55 \| None row 14 : 15 \| eder sanchez \| mexico \| 1:23:05 \| None row 15 : 16 \| joao vieira \| portugal \| 1:23:26 \| None row 16 : 17 \| miguel angel lopez \| spain \| 1:23:41 \| None row 17 : 18 \| anton kucmin \| slovakia \| 1:23:57 \| None row 18 : 19 \| james rendon \| colombia \| 1:24:08 \| sb row 19 : 20 \| horacio nava \| mexico \| 1:24:15 \| None row 20 : 21 \| christopher linke \| germany \| 1:24:17 \| None row 21 : 22 \| caio bonfim \| brazil \| 1:24:29 \| None row 22 : 23 \| trevor barron \| united states \| 1:24:33 \| None row 23 : 24 \| rafał augustyn \| poland \| 1:24:47 \| None row 24 : 25 \| byun youngjun \| south korea \| 1:24:48 \| None row 25 : 28 \| recep celik \| turkey \| 1:25:39 \| None row 26 : 29 \| nazar kovalenko \| ukraine \| 1:25:50 \| None row 27 : 31 \| babubhai panucha \| india \| 1:26:53 \| None row 28 : 32 \| david kimutai \| kenya \| 1:27:20 \| sb row 29 : 33 \| yerko araya \| chile \| 1:27:47 \| None row 30 : 34 \| hedi teraoui \| tunisia \| 1:29:48 \| None row 31 : 35 \| diego flores \| mexico \| 1:30:00 \| None row 32 : 37 \| emerson hernandez \| el salvador \| 1:30:48 \| sb row 33 : 38 \| ronald quispe \| bolivia \| 1:32:09 \| pb row 34 : None \| moacir zimmermann \| brazil \| dsq \| None row 35 : None \| gustavo restrepo \| colombia \| dsq \| None row 36 : None \| giorgio rubino \| italy \| dsq \| None row 37 : None \| anatole ibanez \| sweden \| dsq \| None row 38 : None \| adam rutter \| australia \| dnf \| None row 39 : None \| mauricio arteaga \| ecuador \| dnf \| None ] Execute this SQL based on the above table: select nationality where id = 1	russia
[ header: alumni chapters and clubs \| location \| founding date \| years active \| province row 1 : zeta alpha \| detroit, mi \| 1925 \| None \| beta row 2 : zeta beta \| columbus, oh \| december 14, 1926 \| None \| alpha north row 3 : zeta gamma \| cincinnati, oh \| december 14, 1926 \| None \| alpha south row 4 : zeta epsilon \| chicago, il \| may 21, 1928 \| None \| None row 5 : zeta zeta \| denver, co \| november 23, 1940 \| None \| gamma row 6 : zeta eta \| bloomington-normal, il \| december 13, 1941 \| None \| delta row 7 : zeta lambda \| baton rouge, la \| 1946 \| None \| None row 8 : zeta nu \| ann arbor, mi \| december 1948 \| None \| None row 9 : zeta xi \| oakland county, mi \| july 7, 1953 \| None \| None row 10 : zeta omicron \| akron-kent, o \| may 27, 1956 \| 1956-present \| alpha north row 11 : zeta rho \| kearney, ne \| march 7, 1959 \| None \| None row 12 : zeta tau \| st. petersburg, f \| december 10, 1960 \| None \| None row 13 : zeta upsilon \| washington, d.c \| december 18, 1961 \| None \| None row 14 : zeta chi \| dayton, oh \| february 14, 1967 \| 1967-present \| alpha south row 15 : zeta psi \| philadelphia, pa \| june 4, 1967 \| None \| None row 16 : zeta omega \| spartanburg-greenville, \| april 12, 1969 \| None \| None row 17 : eta alpha \| pueblo, co \| may 25, 1969 \| None \| None row 18 : eta beta \| brownwood, tx \| november 14, 1969 \| None \| None row 19 : eta gamma \| ft. collins, co \| march 7, 1970 \| None \| None row 20 : eta epsilon \| atlanta, ga \| february 23, 1971 \| None \| None row 21 : eta zeta \| buffalo, ny \| may 2, 1971 \| None \| None row 22 : eta theta \| dallas, tx \| november 9, 1975 \| None \| None row 23 : eta iota \| huntsville, al \| september 24, 1978 \| None \| None row 24 : eta kappa \| phoenix, az \| january 26, 1980 \| None \| None row 25 : eta lambda \| lithonia, ga \| may 18, 2003 \| 2004-2011 \| iota row 26 : eta mu \| atlanta, ga \| july 18, 2004 \| 2004-2011 \| iota row 27 : champaign-urbana alumni club \| chambaign-urbana, il \| None \| None \| delta row 28 : lincoln alumni club \| lincoln, ne \| None \| None \| theta row 29 : kearney alumni club \| kearney, ne \| None \| None \| theta row 30 : atlanta alumni club \| atlanta, ga \| None \| None \| iota row 31 : middle tennessee alumni club \| murfreesboro, tn \| 2013 \| 2013-present \| zeta west ] Execute this SQL based on the above table: select count ( years active ) where location = '2013-present' and location = 1380	0
[ header: name \| faith \| type \| gov \| opened \| intake \| dcsf number \| ofsted number \| web \| coordinates row 1 : ashfield \| None \| junior \| vc \| 1845 \| 60 \| 3012 \| 117391 \| w \| 51°38′22′′n 0° row 2 : bournehall \| None \| primary \| cy \| 1969 \| 30 \| 2360 \| 117296 \| w \| 51°39′00′′n 0° row 3 : bushey heath \| None \| primary \| cy \| 1879 \| 30 \| 2012 \| 117088 \| w \| 51°38′12′′n 0° row 4 : bushey manor \| None \| junior \| cy \| 1907 \| 60 \| 2261 \| 117242 \| w \| 51°38′49′′n 0° row 5 : falconer \| None \| special \| cy \| None \| None \| 7033 \| 117686 \| w \| 51°38′49′′n 0° row 6 : hartsbourne \| None \| primary \| cy \| None \| 30 \| 2372 \| 117300 \| w \| 51°37′52′′n 0° row 7 : highwood \| None \| primary \| cy \| 1949 \| 60 \| 2013 \| 117089 \| w \| 51°39′57′′n 0° row 8 : little reddings \| None \| primary \| fd \| None \| 51 \| 5208 \| 117568 \| w \| 51°38′51′′n 0° row 9 : meadow wood \| None \| special \| cy \| None \| None \| 7043 \| 117691 \| w \| 51°38′54′′n 0° row 10 : merry hill \| None \| infants \| cy \| 1885 \| 60 \| 2014 \| 117090 \| w \| 51°38′17′′n 0° row 11 : sacred heart \| rc \| primary \| va \| 1970 \| 40 \| 3415 \| 117488 \| w \| 51°38′38′′n 0° ] Execute this SQL based on the above table: select type where web = 'w' and type != 'junior'	primary, primary, special, primary, primary, primary, special, infants, primary
[ header: place \| player \| country \| score \| to par \| money ($) row 1 : t1 \| larry nelson \| united states \| 70-72-73-72=287 \| -1 \| playoff row 2 : t1 \| lanny wadkins \| united states \| 70-70-74-73=287 \| -1 \| playoff row 3 : t3 \| scott hoch \| united states \| 74-74-71-69=2 \| e \| 58750 row 4 : t3 \| d. a. weibring \| united states \| 73-72-67-76=2 \| e \| 58750 row 5 : t5 \| mark mccumber \| united states \| 74-69-69-77=2 \| 1 \| 37500 row 6 : t5 \| don pooley \| united states \| 73-71-73-72=2 \| 1 \| 37500 row 7 : t7 \| ben crenshaw \| united states \| 72-70-74-74=290 \| 2 \| 27500 row 8 : t7 \| bobby wadkins \| united states \| 68-74-71-77=290 \| 2 \| 27500 row 9 : 9 \| curtis strange \| united states \| 70-76-71-74=291 \| 3 \| 22500 row 10 : t10 \| seve ballesteros \| spain \| 72-70-72-78=292 \| 4 \| 17000 row 11 : t10 \| david frost \| south africa \| 75-70-71-76=292 \| 4 \| 17000 row 12 : t10 \| tom kite \| united states \| 72-77-71-72=292 \| 4 \| 17000 row 13 : t10 \| nick price \| zimbabwe \| 76-71-70-75=29 \| 4 \| 17000 ] Execute this SQL based on the above table: select country where country in ( 'united states' , 'united states' ) order by money ($) desc limit 1	united states
[ header: season \| level \| division \| section \| position \| movements row 1 : 1985 \| tier 4 \| division 3 \| norra norrland \| 5th \| None row 2 : 1986 \| tier 4 \| division 3 \| norra norrland \| 4th \| promoted row 3 : 1987 \| tier 3 \| division 2 \| norra \| 5th \| None row 4 : 1988 \| tier 3 \| division 2 \| norra \| 1st \| promoted row 5 : 1989 \| tier 2 \| division 1 \| norra \| 3rd \| None row 6 : 1990 \| tier 2 \| division 1 \| norra \| 6th \| None row 7 : 1991 \| tier 2 \| division 1 \| norra \| 1st \| spring row 8 : None \| tier 2 \| division 1 \| kvalsvenskan \| 8th \| autumn row 9 : 1992 \| tier 2 \| division 1 \| norra \| 7th \| spring row 10 : None \| tier 2 \| division 1 \| norra \| 8th \| autumn - relegated row 11 : 1993 \| tier 3 \| division 2 \| norrland \| 1st \| promoted row 12 : 1994 \| tier 2 \| division 1 \| norra \| 13th \| relegated row 13 : 1995 \| tier 3 \| division 2 \| norrland \| 9th \| None row 14 : 1996 \| tier 3 \| division 2 \| norrland \| 8th \| None row 15 : 1997 \| tier 3 \| division 2 \| norrland \| 6th \| None row 16 : 1998 \| tier 3 \| division 2 \| norrland \| 7th \| None row 17 : 1999 \| tier 3 \| division 2 \| norrland \| 3rd \| None row 18 : 2000 \| tier 3 \| division 2 \| norrland \| 8th \| None row 19 : 2001 \| tier 3 \| division 2 \| norrland \| 10th \| relegation playoffs row 20 : 2002 \| tier 3 \| division 2 \| norrland \| 10th \| relegation playoffs row 21 : 2003 \| tier 3 \| division 2 \| norrland \| 10th \| relegation playoffs row 22 : 2004 \| tier 3 \| division 2 \| norrland \| 7th \| None row 23 : 2005 \| tier 3 \| division 2 \| norrland \| 4th \| promoted row 24 : 2006 \| tier 3 \| division 1 \| norra \| 14th \| relegated row 25 : 2007 \| tier 4 \| division 2 \| norrland \| 10th \| relegation playoffs row 26 : 2008 \| tier 4 \| division 2 \| norrland \| 12th \| relegated row 27 : 2009 \| tier 5 \| division 3 \| norra norrland \| 8th \| None row 28 : 2010 \| tier 5 \| division 3 \| norra norrland \| 3rd \| None row 29 : 2011 \| tier 5 \| division 3 \| norra norrland \| 2nd \| promotion playoffs row 30 : 2012 \| tier 5 \| division 3 \| norra norrland \| 3rd \| None ] Execute this SQL based on the above table: select count ( * ) where season > season and season > level	0
[ header: team \| location \| venue \| capacity \| position in 1993-94 row 1 : dinamo minsk \| minsk \| dinamo, minsk \| 41040 \| 1 row 2 : dinamo-93 \| minsk \| dinamo, minsk \| 41040 \| 2 row 3 : dvina \| vitebsk \| central, vitebsk \| 8300 \| 3 row 4 : dnepr \| mogilev \| spartak, mogilev \| 11200 \| 4 row 5 : bobruisk \| bobruisk \| spartak, bobruisk \| 3550 \| 5 row 6 : torpedo minsk \| minsk \| torpedo, minsk \| 5200 \| 6 row 7 : shinnik \| bobruisk \| spartak, bobruisk \| 3550 \| 7 row 8 : dinamo brest \| brest \| dinamo, brest \| 10080 \| 8 row 9 : molodechno \| molodechno \| city stadium, molodechno \| 5500 \| 9 row 10 : lokomotiv \| vitebsk \| central, vitebsk \| 8300 \| 10 row 11 : neman \| grodno \| neman \| 6300 \| 11 row 12 : vedrich \| rechytsa \| central, rechytsa \| 3550 \| 12 row 13 : shakhtyor \| soligorsk \| stroitel \| 5000 \| 13 row 14 : torpedo mogilev \| mogilev \| torpedo, mogilev \| 3500 \| 14 row 15 : gomselmash \| gomel \| central, gomel \| 11800 \| 15 row 16 : obuvshchik \| lida \| city stadium, lida \| 4000 \| first league, 1 ] Execute this SQL based on the above table: select ( select count ( * ) where team = 'neman' ) > 879	0
[ header: number \| date \| name \| age (at execution) \| age (at offense) \| race \| state \| method row 1 : 1 \| november 2, 1984 \| velma margie barfield \| 52 \| 45 \| white \| north carolina \| lethal injection row 2 : 2 \| february 3, 1998 \| karla faye t \| 38 \| 23 \| white \| texas \| lethal injection row 3 : 3 \| march 30, 1998 \| judias v. buen \| 54 \| 28 \| white \| florida \| electrocution row 4 : 4 \| february 24, 2000 \| betty lou beets \| 62 \| 46 \| white \| texas \| lethal injection row 5 : 5 \| may 2, 2000 \| christina marie riggs \| 28 \| 26 \| white \| arkansas \| lethal injection row 6 : 6 \| january 11, 2001 \| wanda jean allen \| 41 \| 29 \| black \| oklahoma \| lethal injection row 7 : 7 \| may 1, 2001 \| marilyn kay plantz \| 40 \| 27 \| white \| oklahoma \| lethal injection row 8 : 8 \| december 4, 2001 \| lois nadean smith \| 61 \| 41 \| white \| oklahoma \| lethal injection row 9 : 9 \| may 10, 2002 \| lynda lyon block \| 54 \| 45 \| white \| alabama \| electrocution row 10 : 10 \| october 9, 2002 \| aileen carol wuor \| 46 \| 33 \| white \| florida \| lethal injection row 11 : 11 \| september 14, 2005 \| frances elaine newton \| 40 \| 21 \| black \| texas \| lethal injection row 12 : 12 \| september 23, 2010 \| teresa wilson bean \| 41 \| 33 \| white \| virginia \| lethal injection row 13 : 13 \| june 26, 2013 \| kimberly lagayle \| 52 \| 36 \| black \| texas \| lethal injection row 14 : 14 \| february 5, 2014 \| suzanne margaret basso \| 59 \| 44 \| white \| texas \| lethal injection ] Execute this SQL based on the above table: select name where number = 11 and name != 'wanda jean allen'	frances elaine newton
[ header: rank \| name \| nation(s) \| born \| ascended \| years reigned row 1 : 1 \| bhumibol adulya \| thailand \| 5 december 1927 \| 9 june 1946 \| 68 years, 3 days row 2 : 7 \| qaboos bin said al said \| oman \| 18 november 1940 \| 23 july 1970 \| 43 years, 324 days row 3 : 10 \| carl xvi gustaf \| sweden \| 30 april 1946 \| 15 september 1973 \| 40 years, 270 days row 4 : 16 \| mswati iii \| swaziland \| 19 april 1968 \| 25 april 1986 \| 28 years, 48 days row 5 : 17 \| akihito \| japan \| 23 december 1933 \| 7 january 1989 \| 25 years, 156 days row 6 : 19 \| hans-adam ii \| liechtenstein \| 14 february 1945 \| 13 november 1989 \| 24 years, 211 days row 7 : 21 \| harald v \| norway \| 21 february 1937 \| 17 january 1991 \| 23 years, 146 days row 8 : 24 \| mizan zainal abidin \| terengganu (malaysia \| 22 january 1962 \| 15 may 1998 \| 16 years, 28 days row 9 : 25 \| abdullah ii \| jordan \| 30 january 1962 \| 7 february 1999 \| 15 years, 125 days row 10 : 26 \| hamad bin isa al k \| bahrain \| 28 january 1950 \| 6 march 1999 \| 15 years, 98 days row 11 : 30 \| tuanku syed sir \| perlis (malaysia) \| 16 may 1943 \| 17 april 2000 \| 14 years, 56 days row 12 : 31 \| henri \| luxembourg \| 16 april 1955 \| 7 october 2000 \| 13 years, 248 days row 13 : 33 \| norodom sihamoni \| cambodia \| 14 may 1953 \| 14 october 2004 \| 9 years, 241 days row 14 : 37 \| mohammed bin rashid al ma \| dubai (united arab emir \| 22 july 1949 \| 4 january 2006 \| 8 years, 159 days row 15 : 39 \| tuheitia paki \| maori king (new zealand \| 21 april 1955 \| 21 august 2006 \| 7 years, 295 days row 16 : 41 \| kapiliele faupala \| wallis island (uvea) (wall \| 1940 \| 25 june 2008 \| 5 years, 352 days row 17 : 45 \| ibrahim ismail \| johor (malaysia \| 22 november 1958 \| 22 january 2010 \| 4 years, 141 days row 18 : 47 \| muhammad v \| kelantan (malaysia \| 6 october 1969 \| 13 september 2010 \| 3 years, 272 days row 19 : 49 \| tupou vi \| tonga \| 12 july 1959 \| 18 march 2012 \| 2 years, 86 days row 20 : 50 \| francis \| vatican city \| 17 december 1936 \| 13 march 2013 \| 1 year, 91 days row 21 : 51 \| willem-alexander \| netherlands \| 27 april 1967 \| 30 april 2013 \| 1 year, 43 days row 22 : 53 \| philippe \| belgium \| 15 april 1960 \| 21 july 2013 \| 0 years, 326 days ] Execute this SQL based on the above table: select ( select name where born = 1940 ) - ( select name where born = '22 january 1962' )	0
[ header: s.no. \| name of kingdom \| name of king \| no. of villages \| capital \| names of districts row 1 : 1 \| sihag \| chokha singh \| 150 \| suin \| rawatsar, baramsar, row 2 : 2 \| beniwal \| raisal singh \| 150 \| rasalana \| bhukarka, sand row 3 : 3 \| johiya \| sher singh \| 600 \| bhurupal \| jaitpur, kumanu, ma row 4 : 4 \| punia \| kanha singh \| 300 \| luddi \| bhadra, ajitpura row 5 : 5 \| saharan \| pula singh \| 300 \| bhadang \| khejra, phoglo row 6 : 6 \| godara \| pandu singh \| 700 \| shekhsar \| shekhsar, pundrasar row 7 : 7 \| kaswan \| kanwarpal singh \| 400 \| sidhmukh \| None ] Execute this SQL based on the above table: select s.no. order by no. of villages asc limit 165	1, 2, 4, 5, 7, 3, 6
[ header: rank \| player \| county \| tally \| total \| opposition row 1 : 1 \| eamonn flynn \| dublin \| 3-5 \| 14 \| wexford row 2 : 1 \| charlie mccarthy \| cork \| 2-8 \| 14 \| galway row 3 : 3 \| paddy fahy \| galway \| 2-7 \| 13 \| kildare row 4 : 5 \| charlie mccarthy \| cork \| 3-3 \| 12 \| offaly row 5 : 5 \| michael moroney \| clare \| 2-6 \| 12 \| dublin row 6 : 5 \| declan lovett \| kerry \| 1-9 \| 12 \| galway row 7 : 9 \| ger cuddy \| laois \| 3-2 \| 11 \| wicklow row 8 : 9 \| pat enright \| waterford \| 2-5 \| 11 \| kerry row 9 : 9 \| pat enright \| waterford \| 1-8 \| 11 \| laois row 10 : 9 \| johnny walsh \| kildare \| 0-11 \| 11 \| waterford row 11 : 9 \| eddie keher \| kilkenny \| 0-11 \| 11 \| wexford row 12 : 14 \| brendan cummins \| cork \| 3-1 \| 10 \| wexford row 13 : 14 \| p. j. molloy \| galway \| 3-1 \| 10 \| kerry row 14 : 14 \| nick behan \| kildare \| 3-1 \| 10 \| kerry row 15 : 14 \| seanie o'leary \| cork \| 3-1 \| 10 \| limerick row 16 : 14 \| michael keating \| tipperary \| 2-4 \| 10 \| wexford row 17 : 14 \| declan lovett \| kerry \| 2-4 \| 10 \| waterford row 18 : 14 \| michael keating \| tipperary \| 2-4 \| 10 \| dublin row 19 : 14 \| eddie keher \| kilkenny \| 2-4 \| 10 \| dublin row 20 : 14 \| mick dwan \| kildare \| 2-4 \| 10 \| antrim row 21 : 14 \| charlie mccarthy \| cork \| 1-7 \| 10 \| kilkenny row 22 : 14 \| paddy fahy \| galway \| 0-10 \| 10 \| kerry row 23 : 14 \| johnny walsh \| kildare \| 0-10 \| 10 \| westmeath row 24 : 27 \| p flynn \| wexford \| 3-0 \| 9 \| offaly row 25 : 27 \| n casey \| clare \| 3-0 \| 9 \| cork row 26 : 27 \| willie moore \| limerick \| 3-0 \| 9 \| cork row 27 : 27 \| ger cuddy \| laois \| 3-0 \| 9 \| westmeath row 28 : 27 \| tom ryan \| galway \| 3-0 \| 9 \| laois row 29 : 27 \| seanie o'leary \| cork \| 3-0 \| 9 \| offaly row 30 : 27 \| p flynn \| wexford \| 2-3 \| 9 \| cork row 31 : 27 \| eddie keher \| kilkenny \| 2-3 \| 9 \| limerick row 32 : 27 \| johnny walsh \| kildare \| 1-6 \| 9 \| galway row 33 : 27 \| francis loughnane \| tipperary \| 1-6 \| 9 \| cork row 34 : 27 \| richie bennis \| limerick \| 1-6 \| 9 \| cork row 35 : 27 \| pat enright \| waterford \| 0-9 \| 9 \| kildare row 36 : 27 \| johnny walsh \| kildare \| 0-9 \| 9 \| kerry ] Execute this SQL based on the above table: select player where player = 'ger cuddy'	ger cuddy, ger cuddy
[ header: lift name \| type \| top elevation (ft) \| bottom elevation \| vertical rise \| length (ft) \| slope (%) \| capacity (rides/hr) \| speed (ft/min) \| lift manufacturer \| year installed row 1 : bruno \| fixed double \| 5885 \| 5840 \| 45 \| 368 \| 12% \| 630 \| 300 \| poma \| 1987 row 2 : molly's express \| detach quad \| 5835 \| 4990 \| 845 \| 5244 \| 16% \| 1200 \| 1000 \| doppelmayr \| 2000 row 3 : pucci \| fixed triple \| 5920 \| 5350 \| 570 \| 3398 \| 17% \| 1330 \| 450 \| poma \| 1987 row 4 : stormin' norman \| detach quad \| 6245 \| 5460 \| 785 \| 4396 \| 18% \| 1500 \| 1000 \| doppelmayr \| 2000 row 5 : magic mile express \| detach quad \| 6990 \| 5915 \| 1075 \| 5359 \| 20% \| 1600 \| 950 \| poma \| 1992 row 6 : palmer express \| detach quad \| 8470 \| 6940 \| 1530 \| 5468 \| 29% \| 1800 \| 1000 \| doppelmayr \| 1996 row 7 : jeff flood express (still creek basin) \| detach quad \| 6020 \| 4850 \| 1170 \| 6506 \| 18% \| 1800 \| 1000 \| doppelmayr \| 2007 ] Execute this SQL based on the above table: select count ( type ) where vertical rise not null and year installed not null and vertical rise is null	0
[ header: state \| swimsuit \| interview \| evening gown \| average \| finalists row 1 : iowa \| 9.267 \| 9.651 \| 9.620 \| 9.513 \| 9.800 row 2 : oklahoma \| 9.226 \| 9.309 \| 9.487 \| 9.341 \| 9.586 row 3 : kansas \| 9.221 \| 9.600 \| 9.600 \| 9.474 \| 9.486 row 4 : alabama \| 9.010 \| 9.326 \| 9.449 \| 9.262 \| 9.471 row 5 : north carolina \| 9.079 \| 9.207 \| 9.500 \| 9.262 \| 9.414 row 6 : california \| 9.340 \| 9.514 \| 9.486 \| 9.447 \| 9.400 row 7 : rhode island \| 9.087 \| 9.279 \| 9.341 \| 9.235 \| None row 8 : maryland \| 9.021 \| 9.206 \| 9.271 \| 9.166 \| None row 9 : indiana \| 8.966 \| 9.103 \| 9.370 \| 9.146 \| None row 10 : virginia \| 8.984 \| 9.112 \| 9.279 \| 9.125 \| None row 11 : mississippi \| 8.917 \| 9.200 \| 9.247 \| 9.121 \| None row 12 : illinois \| 8.897 \| 8.969 \| 9.286 \| 9.050 \| None ] Execute this SQL based on the above table: select state where id = ( select id where state = 'maryland' and interview = '9.206' ) + 1	indiana
[ header: rank \| name \| nationality \| time \| notes row 1 : None \| jill sterkel \| united states \| 1:00.53 \| nr, gr row 2 : None \| lisa buese \| united states \| 1:00.59 \| None row 3 : None \| nancy garapick \| canada \| 1:02.96 \| None row 4 : 4 \| shelley cramer \| u.s. virgin islands \| 1:03.51 \| nr row 5 : 5 \| susan sloan \| canada \| 1:03.52 \| None row 6 : 6 \| maria paris \| costa rica \| 1:03.58 \| None row 7 : 7 \| rosanna juncos \| argentina \| 1:04.75 \| None row 8 : 8 \| adriana pereira \| brazil \| 1:06.79 \| None ] Execute this SQL based on the above table: select nationality where nationality in ( 'brazil' , 'argentina' ) order by time limit 1	argentina
[ header: name \| position \| year \| league apps \| league goals \| total apps \| total goals \| notes row 1 : walter langton \| lb / cf \| 1887-1905 \| 45 \| 28 \| 48 \| 48 \| doncaster's longest serving player appearance stats row 2 : tom keetley \| fw \| 1923-1929 \| 231 \| 180 \| 241 \| 186 \| record all time goalscorer. most goals in row 3 : fred emery \| wh \| 1924-1936 \| 417 \| 30 \| 439 \| 32 \| record league appearances manager of doncaster 1936-19 row 4 : paddy mcconnell \| if \| 1925-1930 \| 137 \| 20 \| 143 \| 21 \| the first current doncaster player to represent his country row 5 : syd bycroft \| df \| 1936-1951 \| 333 \| 2 \| 355 \| 2 \| including wartime league matches, he played row 6 : eddie perry \| cf \| 1936-1938 \| 98 \| 44 \| 102 \| None \| welsh international whilst at don row 7 : clarrie jordan \| fw \| 1945-1948 \| 60 \| 48 \| 67 \| 50 \| most doncaster league goals in one season (42 row 8 : charlie williams \| df \| 1948-1959 \| 158 \| 1 \| 174 \| 1 \| famous comedian row 9 : peter doherty \| if \| 1949-1953 \| 103 \| 55 \| 109 \| 58 \| ireland international player and manager of northern row 10 : len graham \| mf \| 1949-1958 \| 312 \| 3 \| 332 \| 3 \| northern ireland international whilst at row 11 : kit lawlor \| if \| 1950-1954 \| 127 \| 47 \| 143 \| 49 \| republic of ireland international whilst row 12 : harry gregg \| gk \| 1952-1957 \| 94 \| 0 \| 99 \| 0 \| northern ireland international whilst at row 13 : alick jeffrey \| fw \| 1954-1956, 1963-1968 \| 262 \| 129 \| 293 \| 140 \| youngest doncaster player (15 years 229 days row 14 : colin douglas \| fw \| 1981-1986, 1988-1993 \| 404 \| 53 \| 444 \| 62 \| record total appearances (not including the wartime row 15 : brian stock \| mf \| 2006-2012 \| 193 \| 18 \| 216 \| 23 \| welsh international whilst at don row 16 : billy sharp \| fw \| 2009-2012, 2014- \| 92 \| 44 \| 96 \| 45 \| record transfer fee paid: £1,150,000 ] Execute this SQL based on the above table: select name where total goals = ( select total goals where name = 'charlie williams' ) + 1	syd bycroft
[ header: number \| symbol \| name \| 21st \| 22nd \| 23rd \| 24th \| 25th \| 26th \| 27th \| 28th \| 29th \| 30th row 1 : 21 \| sc \| scandium \| 582163 \| None \| None \| None \| None \| None \| None \| None \| None \| None row 2 : 22 \| ti \| titanium \| 602930 \| 639294 \| None \| None \| None \| None \| None \| None \| None \| None row 3 : 23 \| v \| vanadium \| 151440 \| 661050 \| 699144 \| None \| None \| None \| None \| None \| None \| None row 4 : 24 \| cr \| chromium \| 157700 \| 166090 \| 721870 \| 761733 \| None \| None \| None \| None \| None \| None row 5 : 25 \| mn \| manganese \| 158600 \| 172500 \| 181380 \| 785450 \| 827067 \| None \| None \| None \| None \| None row 6 : 26 \| fe \| iron \| 163000 \| 173600 \| 188100 \| 195200 \| 851800 \| 895161 \| None \| None \| None \| None row 7 : 27 \| co \| cobalt \| 167400 \| 178100 \| 189300 \| 204500 \| 214100 \| 920870 \| 966023 \| None \| None \| None row 8 : 28 \| ni \| nickel \| 169400 \| 182700 \| 194000 \| 205600 \| 221400 \| 231490 \| 992718 \| 1039668 \| None \| None row 9 : 29 \| cu \| copper \| 174100 \| 184900 \| 198800 \| 210500 \| 222700 \| 239100 \| 249660 \| 1067358 \| 1116105 \| None row 10 : 30 \| zn \| zinc \| 179100 \| None \| None \| None \| None \| None \| None \| None \| None \| None row 11 : 36 \| kr \| krypton \| 85300 \| 90400 \| 96300 \| 101400 \| 111100 \| 116290 \| 282500 \| 296200 \| 311400 \| 326200 row 12 : 42 \| mo \| molybdenum \| 87000 \| 93400 \| 98420 \| 104400 \| 121900 \| 127700 \| 133800 \| 139800 \| 148100 \| 154500 ] Execute this SQL based on the above table: select count ( * ) where name = 575	0
[ header: club \| season \| league apps \| league goals \| fa cup apps \| fa cup goals \| league cup apps \| league cup goals \| other apps \| other goals \| total apps \| total goals row 1 : bristol rovers \| 2000-01 \| 10 \| 2 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 10 \| 2 row 2 : bristol rovers \| 2001-02 \| 31 \| 3 \| 3 \| 0 \| 2 \| 0 \| 3 \| 0 \| 39 \| 3 row 3 : bristol rovers \| 2002-03 \| 9 \| 0 \| 1 \| 0 \| 0 \| 0 \| 1 \| 0 \| 11 \| 0 row 4 : bristol rovers \| total \| 50 \| 5 \| 4 \| 0 \| 2 \| 0 \| 4 \| 0 \| 60 \| 5 row 5 : yeovil town \| 2002-03 \| 13 \| 13 \| 0 \| 0 \| 0 \| 0 \| 2 \| 1 \| 15 \| 14 row 6 : yeovil town \| 2003-04 \| 43 \| 8 \| 3 \| 1 \| 1 \| 0 \| 2 \| 1 \| 49 \| 10 row 7 : yeovil town \| 2004-05 \| 44 \| 3 \| 5 \| 0 \| 2 \| 0 \| 1 \| 0 \| 52 \| 3 row 8 : yeovil town \| 2005-06 \| 36 \| 2 \| 3 \| 0 \| 2 \| 1 \| 1 \| 0 \| 42 \| 3 row 9 : yeovil town \| total \| 136 \| 26 \| 11 \| 1 \| 5 \| 1 \| 6 \| 2 \| 158 \| 30 row 10 : carlisle united \| 2006-07 \| 45 \| 8 \| 1 \| 0 \| 1 \| 0 \| 1 \| 0 \| 48 \| 8 row 11 : carlisle united \| 2007-08 \| 21 \| 1 \| 2 \| 0 \| 2 \| 0 \| 2 \| 2 \| 27 \| 3 row 12 : carlisle united \| 2008-09 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 row 13 : carlisle united \| total \| 66 \| 9 \| 3 \| 0 \| 3 \| 0 \| 3 \| 2 \| 75 \| 11 row 14 : darlington (loan) \| 2008-09 \| 8 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 8 \| 0 row 15 : lincoln city (loan \| 2008-09 \| 9 \| 0 \| 0 \| 0 \| 1 \| 0 \| 1 \| 0 \| 11 \| 0 row 16 : port vale (loan) \| 2008-09 \| 7 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 7 \| 0 row 17 : darlington \| 2009-10 \| 10 \| 2 \| 0 \| 0 \| 0 \| 0 \| 2 \| 0 \| 12 \| 2 row 18 : york city \| 2009-10 \| 5 \| 1 \| 1 \| 0 \| 0 \| 0 \| 3 \| 0 \| 9 \| 1 row 19 : wrexham \| 2010-11 \| 5 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 5 \| 0 row 20 : career total \| career total \| 296 \| 43 \| 19 \| 1 \| 11 \| 1 \| 19 \| 4 \| 345 \| 49 ] Execute this SQL based on the above table: select club where league cup apps = 0 and club = 'yeovil town'	yeovil town
[ header: date \| opponent# \| rank# \| site \| result \| attendance row 1 : september 12 \| #1 michigan \| None \| camp randall stadium • madison, \| w 21-14 \| 68733 row 2 : september 19 \| #9 ucla \| #20 \| camp randall stadium • madison, \| l 13-31 \| 71496 row 3 : september 26 \| western michigan \| None \| camp randall stadium • madison, \| w 21-10 \| 67196 row 4 : october 3 \| purdue \| None \| camp randall stadium • madison, \| w 20-14 \| 68603 row 5 : october 10 \| #18 ohio state \| None \| camp randall stadium • madison, \| w 24-21 \| 78973 row 6 : october 17 \| at michigan state \| #14 \| spartan stadium • east lans \| l 14-33 \| 67352 row 7 : october 24 \| at illinois \| None \| memorial stadium • champaign, il \| l 21-23 \| 67413 row 8 : october 31 \| northwestern \| None \| camp randall stadium • madison, \| w 52-0 \| 70035 row 9 : november 7 \| at indiana \| None \| memorial stadium • bloomington, in \| w 28-7 \| 44218 row 10 : november 14 \| iowa \| None \| camp randall stadium • madison, \| l 7-17 \| 78731 row 11 : november 21 \| at minnesota \| None \| memorial stadium • minneapolis, \| w 26-21 \| 47125 row 12 : december 13 \| vs. tennessee \| None \| giants stadium • east rutherford, \| l 21-28 \| 53220 ] Execute this SQL based on the above table: select attendance - attendance where attendance = 67352	0.0
[ header: election \| name of the party/alliance \| number of votes \| percentage \| seats in the parliament row 1 : 2010 \| partidul popular crestin democrat (ppcd \| 9046 \| 0.53% \| None row 2 : 29 july 2009 \| partidul popular crestin democrat (ppcd \| 30173 \| 1.91% \| None row 3 : 5 april 2009 \| partidul popular crestin democrat (ppcd \| 46549 \| 3.03% \| None row 4 : 6 march 2005 \| partidul popular crestin democrat (ppcd \| 141341 \| 9.07% \| 11 row 5 : 25 february 2001 \| partidul popular crestin democrat (ppcd \| 130810 \| 8.24% \| 11 row 6 : 22 march 1998 \| blocul electoral "conventia democrat \| 315206 \| 19.42% \| 26 row 7 : 27 february 1994 \| blocul electoral "alianta frontului popular \| 133606 \| 7.53% \| 9 ] Execute this SQL based on the above table: select count ( percentage ) where seats in the parliament >= 11	3

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[ header: no. \| title \| directed by \| written by \| original air date row 1 : 1 \| "reunion" \| bryan spicer \| patrick massett & john \| january 27, 2003 row 2 : 2 \| "antarctica" \| perry lang \| patrick massett & john \| february 3, 2003 row 3 : 3 \| "skulls" \| adam nimoy \| patrick massett & john \| february 10, 2003 row 4 : 4 \| "heist" \| rick kolbe \| rick kellard \| march 10, 2003 row 5 : 5 \| "the wheel of dharma" \| r. w. goodwin \| stephanie bloch-chambers \| None row 6 : 6 \| "sangraal" \| perry lang \| gabrielle stanton & harry \| None row 7 : 7 \| "mummy virus" \| vern gillum \| rick kellard & thani \| None row 8 : 8 \| "name of god" \| michael nankin \| brad falchuk \| None row 9 : 9 \| "devil's child" \| tom wright \| thania st. john \| None row 10 : 10 \| "avalon" \| dwight little \| i. c. rapoport \| None row 11 : 11 \| "the lost codex" \| tom wright \| gabrielle stanton & harry \| None row 12 : 12 \| "eternal" \| fred gerber \| thania st. john \| None row 13 : 13 \| "helmholtz resonance" \| larry shaw \| patrick massett & john \| None ] Execute this SQL based on the above table: select no. where directed by = 'tom wright'	9, 11
[ header: outcome \| no. \| date \| tournament \| surface \| partner \| opponents in the final \| score in the final row 1 : runner-up \| 1 \| 1986 \| toronto indoor, canada \| carpet \| danie visser \| wojtek fibak joakim \| 3-6, 6-7 row 2 : winner \| 1 \| 1986 \| milan, italy \| carpet \| colin dowdeswell \| brian levine laurie warder \| 6-3, 4-6, 6-1 row 3 : runner-up \| 2 \| 1986 \| atlanta, u.s \| carpet \| danie visser \| andy kohlberg robert van \| 2-6, 3-6 row 4 : winner \| 2 \| 1986 \| bristol, england \| grass \| danie visser \| mark edmondson wally masur \| 6-7, 7-6, 12-10 row 5 : runner-up \| 3 \| 1986 \| cincinnati, u.s \| hard \| danie visser \| mark kratzmann kim warwick \| 3-6, 4-6 row 6 : runner-up \| 4 \| 1986 \| tel aviv, israel \| hard \| danie visser \| john letts peter lund \| 3-6, 6-3, 3-6 row 7 : runner-up \| 5 \| 1987 \| philadelphia, u.s \| carpet \| danie visser \| sergio casal emilio s \| 6-3, 1-6, 6-7 ] Execute this SQL based on the above table: select date where outcome != 'winner' order by date desc limit 1	1987
[ header: date \| number \| type \| captain \| casualties \| sunk by row 1 : 4-may-43 \| u-209 \| viic \| heinrich brodda \| 46 \| catalina flying-boat of no. 5 row 2 : 5-may-43 \| u-638 \| viic \| oskar staudinger \| 44 \| hms sunflower row 3 : 5-may-43 \| u-531 \| ixc/40 \| herbert neckel \| 54 \| hms vidette row 4 : 6-may-43 \| u-192 \| ixc/40 \| werner happe \| 55 \| hms loosestrife row 5 : 6-may-43 \| u-125 \| ixc \| ulrich folkers \| 54 \| hms oribi, hm row 6 : 6-may-43 \| u-630 \| viic \| werner winkler \| 47 \| hms vidette row 7 : 6-may-43 \| u-438 \| viic \| heinrich hensohn \| 48 \| hms pelican ] Execute this SQL based on the above table: select sunk by where captain = 'heinrich hensohn' order by casualties desc limit 1	hms pelican
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 1990 \| pan american race walking cup \| xalapa, mexico \| 25th \| 20 km \| 1:48:49 row 2 : 1993 \| central american and caribbean games \| ponce, puerto rico \| 3rd \| 20 km \| 1:29:43 row 3 : 1994 \| central american games \| san salvador, el \| 1st \| 20 km \| 1:27:45 row 4 : 1995 \| pan american games \| mar del plata, argentina \| 3rd \| 20 km \| 1:23:50 row 5 : 1995 \| central american and caribbean championships \| ciudad de guatemala, \| 2nd \| 20 km \| 1:25:10 a row 6 : 1996 \| olympic games \| atlanta, georgia \| dsq \| 20 km \| None row 7 : 1997 \| world race walking cup \| podebrady, czech \| 5th \| 20 km \| 1:18:51 row 8 : 1997 \| central american and caribbean championships \| san juan, puerto \| 1st \| 20 km \| 1:26:24.40 cr row 9 : 1997 \| world championships \| athens, greece \| dsq \| 20 km \| None row 10 : 1997 \| central american games \| san pedro sul \| 1st \| 20 km \| 1:35:45 row 11 : 1998 \| ibero-american championships \| lisbon, portugal \| 2nd \| 20 km \| 1:26:25 row 12 : 1998 \| central american and caribbean games \| maracaibo, venezu \| 3rd \| 20 km \| 1:25:31 row 13 : 1999 \| world championships \| seville, spain \| dsq \| 20 km \| None row 14 : 2000 \| olympic games \| sydney, australia \| 43rd \| 20 km \| 1:31:47 row 15 : 2001 \| central american and caribbean championships \| guatemala city, guate \| 3rd \| 20 km \| 1:29:47 a row 16 : 2003 \| central american and caribbean championships \| st. george's, \| 1st \| 18,000 m \| 1:22:07 row 17 : 2003 \| pan american games \| santo domingo, dominican \| dsq \| 20 km \| None row 18 : 2003 \| pan american games \| santo domingo, dominican \| dnf \| 50 km \| None row 19 : 2003 \| world championships \| paris, france \| dsq \| 20 km \| None row 20 : 2004 \| world race walking cup \| naumburg, germany \| 15th \| 50 km \| 3:56:19 row 21 : 2004 \| olympic games \| athens, greece \| dsq \| 50 km \| None row 22 : 2004 \| central american championships \| managua, nicaragua \| 3rd \| 20 km \| 1:33:20.46 row 23 : 2005 \| central american and caribbean championships \| nassau, bahamas \| 1st \| 20,000 m \| 1:30:38.07 row 24 : 2005 \| world championships \| helsinki, finland \| 12th \| 50 km \| 3:57:56 row 25 : 2006 \| ibero-american championships \| ponce, puerto rico \| None \| 20,000 m \| dq row 26 : 2006 \| central american and caribbean games \| cartagena, colombia \| 5th \| 20 km \| 1:33:00 row 27 : 2007 \| central american championships \| san jose, costa ric \| 3rd \| 20 km \| 1:27:30.42 ] Execute this SQL based on the above table: select count ( distinct competition )	10
[ header: pos. \| car # \| driver \| make \| team row 1 : 1 \| 38 \| jason leffler \| toyota \| braun racing row 2 : 2 \| 16 \| greg biffle \| ford \| roush fenway racing row 3 : 3 \| 99 \| david reutimann \| toyota \| michael waltrip racing row 4 : 4 \| 60 \| carl edwards \| ford \| roush fenway racing row 5 : 5 \| 77 \| ron hornaday \| chevrolet \| kevin harvick incorporated row 6 : 6 \| 20 \| aric almirola \| chevrolet \| joe gibbs racing row 7 : 7 \| 29 \| scott wimmer \| chevrolet \| richard childress racing row 8 : 8 \| 42 \| kevin hamlin \| dodge \| chip ganassi racing row 9 : 9 \| 10 \| mike bliss \| toyota \| braun racing row 10 : 10 \| 88 \| brad keselowski \| chevrolet \| jr motorsports ] Execute this SQL based on the above table: select count ( driver ) where pos. > 258	0
[ header: club \| town \| founded \| nickname \| colours \| home ground \| titles \| website row 1 : churchill united \| churchill \| 1969 \| rams \| silver & red \| hazelwood south reserve \| 4 \| row 2 : east gippsland united \| bairnsdale \| 2009 \| None \| navy blue & gold \| howitt park sports complex \| 0 \| row 3 : falcons 2000 \| morwell \| 1961 \| falcons \| blue & black \| latrobe city soccer stadium \| 2 \| row 4 : fortuna 60 \| morwell \| 1960 \| lions \| orange & black \| crinigan road south reserve \| 9 \| row 5 : moe united \| moe \| 1952 \| red devils \| red, black & white \| olympic park \| 7 \| row 6 : monash \| newborough \| 1958 \| wolves \| gold & black \| monash reserve \| 0 \| row 7 : morwell pegasus \| morwell \| 1959 \| the flying horse \| maroon & sky blue \| ronald reserve \| 5 \| row 8 : newborough/yallourn \| newborough \| None \| None \| navy blue \| burrage reserve \| 8 \| row 9 : sale united \| sale \| 1974 \| swans \| green & white \| godfrey baldwin reserve \| 1 \| row 10 : traralgon city \| traralgon \| 1968 \| roosters \| black & white \| harold preston reserve \| 0 \| row 11 : traralgon olympians \| traralgon \| 1980 \| olympians \| blue & white \| harold preston reserve \| 8 \| row 12 : tyers \| tyers \| 1982 \| lightning \| green & gold \| tyers recreation reserve \| 0 \| ] Execute this SQL based on the above table: select count ( distinct nickname ) where town = 'newborough' and town = 'morwell'	0
[ header: county \| kerry \| votes \| bush \| votes \| others \| votes row 1 : manhattan \| 82.1% \| 526765 \| 16.7% \| 107405 \| 1.2% \| 7781 row 2 : brooklyn \| 74.9% \| 514973 \| 24.3% \| 167149 \| 0.8% \| 5762 row 3 : queens \| 71.7% \| 433835 \| 27.4% \| 165954 \| 0.9% \| 5603 row 4 : tompkins \| 64.2% \| 27229 \| 33.0% \| 13994 \| 2.8% \| 1179 row 5 : albany \| 60.7% \| 89323 \| 37.3% \| 54872 \| 2.0% \| 3004 row 6 : erie \| 56.4% \| 251090 \| 41.4% \| 184423 \| 2.2% \| 9625 row 7 : ulster \| 54.3% \| 47602 \| 43.1% \| 37821 \| 2.6% \| 2289 row 8 : nassau \| 52.2% \| 323070 \| 46.6% \| 288355 \| 1.1% \| 6918 row 9 : clinton \| 52.2% \| 17624 \| 45.4% \| 15330 \| 2.3% \| 782 row 10 : schenectady \| 51.8% \| 35971 \| 46.2% \| 32066 \| 2.1% \| 1432 row 11 : broome \| 50.4% \| 46281 \| 47.4% \| 43568 \| 2.2% \| 2041 row 12 : suffolk \| 49.5% \| 315909 \| 48.5% \| 309949 \| 2.0% \| 12854 row 13 : niagara \| 49.3% \| 47602 \| 48.8% \| 47111 \| 1.9% \| 1867 row 14 : rockland \| 48.9% \| 64191 \| 49.6% \| 65130 \| 1.5% \| 1910 row 15 : cayuga \| 48.6% \| 17534 \| 49.2% \| 17743 \| 2.1% \| 775 row 16 : otsego \| 47.7% \| 12723 \| 50.1% \| 13342 \| 2.2% \| 587 row 17 : oswego \| 46.8% \| 24133 \| 51.0% \| 26325 \| 2.2% \| 1149 row 18 : saratoga \| 45.6% \| 48730 \| 52.5% \| 56158 \| 1.9% \| 1985 row 19 : montgomery \| 44.5% \| 9449 \| 53.4% \| 11338 \| 2.0% \| 434 row 20 : orange \| 43.8% \| 63394 \| 54.7% \| 79089 \| 1.5% \| 2190 row 21 : chemung \| 43.7% \| 17080 \| 54.6% \| 21321 \| 1.7% \| 674 row 22 : oneida \| 42.8% \| 40792 \| 54.9% \| 52392 \| 2.3% \| 2185 row 23 : ontario \| 42.2% \| 21166 \| 55.9% \| 27999 \| 1.9% \| 937 row 24 : putnam \| 42.0% \| 19575 \| 56.6% \| 26356 \| 1.4% \| 632 row 25 : fulton \| 41.4% \| 9202 \| 56.6% \| 12570 \| 2.0% \| 443 row 26 : herkimer \| 41.2% \| 11675 \| 56.6% \| 16024 \| 2.2% \| 611 row 27 : tioga \| 40.6% \| 9694 \| 57.6% \| 13762 \| 1.9% \| 446 row 28 : schuyler \| 40.1% \| 3445 \| 57.7% \| 4960 \| 2.2% \| 185 row 29 : cattaraugus \| 39.4% \| 13514 \| 58.5% \| 20051 \| 2.0% \| 697 row 30 : yates \| 39.3% \| 4205 \| 58.9% \| 6309 \| 1.8% \| 197 row 31 : wayne \| 38.1% \| 15709 \| 60.0% \| 24709 \| 1.9% \| 782 row 32 : orleans \| 36.0% \| 5959 \| 62.3% \| 10317 \| 1.8% \| 297 ] Execute this SQL based on the above table: select votes where kerry = '42.2%'	27999.0
[ 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 best & fairest order by year limit 1	darren mead
[ header: pos. \| driver \| co-driver \| car \| time row 1 : 1 \| giandomenico basso \| lorenzo granai \| peugeot 207 s2000 \| 2h28m50.8s row 2 : 2 \| bruno magalhaes \| nuno r. silva \| peugeot 207 s2000 \| +07.3s row 3 : 3 \| miguel nunes \| joao paulo \| mitsubishi lancer x r4 \| + 3m30.8s row 4 : 4 \| pedro meireles \| mario castro \| skoda fabia s2000 \| +3m42.5s row 5 : 5 \| luca betti \| francesco pezzoli \| ford fiesta s2000 \| +4m04.1s row 6 : 6 \| filipe freitas \| daniel figueiroa \| mitsubishi lancer x r4 \| +5m36s row 7 : 7 \| filipe pires \| vasco rodrigues \| mitsubishi lancer x \| +9m11.2s row 8 : 8 \| luis serrado \| joao sousa \| peugeot 206 s1600 \| +10m53.7s row 9 : 9 \| jose camacho \| fernando spinola \| peugeot 206 s1600 \| +13m08.3s row 10 : 10 \| rui conceicao \| duarte coelho \| ford escort cosworth \| +16m50.1s ] Execute this SQL based on the above table: select time where pos. = 7	9.0
[ header: rank \| athlete \| qual \| final \| total \| notes row 1 : None \| silvia sperber (frg \| 590 \| 95.6 \| 685.6 \| or row 2 : None \| vesela letcheva (bul) \| 583 \| 100.2 \| 683.2 \| None row 3 : None \| valentina cherkasova ( \| 586 \| 95.4 \| 681.4 \| None row 4 : 4 \| katja klepp (gdr \| 584 \| 96.5 \| 680.5 \| None row 5 : 5 \| sharon bowes (can) \| 584 \| 96.5 \| 680.5 \| None row 6 : 6 \| anna maloukhina (urs) \| 585 \| 93.4 \| 678.4 \| None row 7 : 7 \| launi meili (usa) \| 582 \| 94.5 \| 676.5 \| None row 8 : 8 \| anita karlsson (s \| 583 \| 93.4 \| 676.4 \| None ] Execute this SQL based on the above table: select count ( * ) where notes = '93.4'	0
[ 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 date where # = ( select # where date = 'august 3' ) + 1	august 4
[ header: pennant number \| name \| builder \| laid down \| launched \| completed \| fate row 1 : f00 \| jervis \| hawthorn leslie & company, \| 26 august 1937 \| 9 september 1938 \| 12 may 1939 \| sold for scrap 1949 row 2 : f22 \| jackal \| john brown & company, cly \| 24 september 1937 \| 25 october 1938 \| 31 march 1939 \| bombed off mersa matruh row 3 : f34 \| jaguar \| william denny & brothers, dumb \| 25 november 1937 \| 22 november 1938 \| 12 september 1939 \| torpedoed by german u row 4 : f46 \| juno (ex-jamaica) \| fairfield shipbuilding & engineering company, go \| 15 october 1937 \| 8 december 1938 \| 25 august 1939 \| bombed and sunk south of row 5 : f53 \| janus \| swan hunter & wigham \| 29 september 1937 \| 11 october 1938 \| 5 august 1939 \| torpedoed and sunk row 6 : f61 \| javelin (ex-kashmir) \| john brown \| 11 october 1937 \| 21 december 1938 \| 10 june 1939 \| sold for scrap 1949 row 7 : f72 \| jersey \| j. samuel white \| 1937 \| 26 september 1938 \| 28 april 1939 \| mined off valletta 2 may 1941, row 8 : f85 \| jupiter \| yarrow & company, scot \| 28 september 1937 \| 27 october 1938 \| 25 june 1939 \| hit a dutch mine during the battle row 9 : None \| jubilant \| None \| None \| None \| None \| ordered march 1937, cancelled december 1937 ] Execute this SQL based on the above table: select count ( name )	9
[ header: round \| game \| date \| visitor \| score \| home \| score \| ot \| bye row 1 : preliminary round \| None \| None \| None \| None \| None \| None \| None \| row 2 : quarter-finals \| game 1 \| 13-apr-75 \| chicago black hawks \| 1 \| buffalo sabres \| 4 \| None \| row 3 : quarter-finals \| game 2 \| 15-apr-75 \| chicago black hawks \| 1 \| buffalo sabres \| 3 \| None \| row 4 : quarter-finals \| game 3 \| 17-apr-75 \| buffalo sabres \| 4 \| chicago black hawks \| 5 \| (ot) \| row 5 : quarter-finals \| game 4 \| 20-apr-75 \| buffalo sabres \| 6 \| chicago black hawks \| 2 \| None \| row 6 : quarter-finals \| game 5 \| 22-apr-75 \| chicago black hawks \| 1 \| buffalo sabres \| 3 \| None \| row 7 : semi-finals \| game 1 \| 27-apr-75 \| montreal canadiens \| 5 \| buffalo sabres \| 6 \| (ot) \| row 8 : semi-finals \| game 2 \| 29-apr-75 \| montreal canadiens \| 2 \| buffalo sabres \| 4 \| None \| row 9 : semi-finals \| game 3 \| 1-may-75 \| buffalo sabres \| 0 \| montreal canadiens \| 7 \| None \| row 10 : semi-finals \| game 4 \| 3-may-75 \| buffalo sabres \| 2 \| montreal canadiens \| 8 \| None \| row 11 : semi-finals \| game 5 \| 6-may-75 \| montreal canadiens \| 4 \| buffalo sabres \| 5 \| (ot) \| row 12 : semi-finals \| game 6 \| 8-may-75 \| buffalo sabres \| 4 \| montreal canadiens \| 3 \| None \| row 13 : stanley cup finals \| game 1 \| 15-may-75 \| buffalo sabres \| 1 \| philadelphia flyers \| 4 \| None \| row 14 : stanley cup finals \| game 2 \| 18-may-75 \| buffalo sabres \| 1 \| philadelphia flyers \| 2 \| None \| row 15 : stanley cup finals \| game 3 \| 20-may-75 \| philadelphia flyers \| 4 \| buffalo sabres \| 5 \| (ot) \| row 16 : stanley cup finals \| game 4 \| 22-may-75 \| philadelphia flyers \| 2 \| buffalo sabres \| 4 \| None \| row 17 : stanley cup finals \| game 5 \| 25-may-75 \| buffalo sabres \| 1 \| philadelphia flyers \| 5 \| None \| row 18 : stanley cup finals \| game 6 \| 27-may-75 \| philadelphia flyers \| 2 \| buffalo sabres \| 0 \| None \| ] Execute this SQL based on the above table: select bye where bye in ( '' , '' ) order by game desc limit 1	@NULL@
[ header: stage \| date \| route \| terrain \| length \| winner row 1 : p \| 1 july \| saint-brieuc \| individual time trial \| 7.3 km (4.5 mi) \| jacky durand (fra) row 2 : 1 \| 2 july \| dinan - lannion \| plain stage \| 233.5 km (145.1 mi) \| fabio baldato (it row 3 : 2 \| 3 july \| perros-guirec - vitre \| plain stage \| 235.5 km (146.3 mi) \| mario cipollini (ita row 4 : 3 \| 4 july \| mayenne - alencon \| team time trial \| 67.0 km (41.6 mi) \| gewiss-ballan (ita row 5 : 4 \| 5 july \| alencon - le havre \| plain stage \| 162.0 km (100.7 mi) \| mario cipollini (ita row 6 : 5 \| 6 july \| fecamp - dunkerque \| plain stage \| 261.0 km (162.2 mi) \| jeroen blijlevens row 7 : 6 \| 7 july \| dunkerque - charlero \| plain stage \| 202.0 km (125.5 mi) \| erik zabel (ger) row 8 : 7 \| 8 july \| charleroi - liege \| hilly stage \| 203.0 km (126.1 mi) \| johan bruyneel row 9 : 8 \| 9 july \| huy - seraing \| individual time trial \| 54.0 km (33.6 mi) \| miguel indurain (es row 10 : 9 \| 11 july \| le grand-bornand - la plagne \| stage with mountain(s) \| 160.0 km (99.4 mi) \| alex zulle (sui) row 11 : 10 \| 12 july \| la plagne - l'alpe \| stage with mountain(s) \| 162.5 km (101.0 mi) \| marco pantani (ita) row 12 : 11 \| 13 july \| le bourg-d'oisans \| hilly stage \| 199.0 km (123.7 mi) \| maximilian sciandri (gb row 13 : 12 \| 14 july \| saint-etienne - mende \| hilly stage \| 222.5 km (138.3 mi) \| laurent jalabert (fra row 14 : 13 \| 15 july \| mende - revel \| plain stage \| 245.0 km (152.2 mi) \| serhiy utchakov ( row 15 : 14 \| 16 july \| saint-orens-de-gameville \| stage with mountain(s) \| 164.0 km (101.9 mi) \| marco pantani (ita) row 16 : 15 \| 18 july \| saint-girons - cautere \| stage with mountain(s) \| 206.0 km (128.0 mi) \| richard virenque (fra row 17 : 16 \| 19 july \| tarbes - pau \| stage with mountain(s) \| 149.0 km (92.6 mi) \| cancelled row 18 : 17 \| 20 july \| pau - bordeaux \| plain stage \| 246.0 km (152.9 mi) \| erik zabel (ger) row 19 : 18 \| 21 july \| montpon-menesterol - lim \| plain stage \| 166.5 km (103.5 mi) \| lance armstrong (usa) row 20 : 19 \| 22 july \| lac de vassiviere - lac \| individual time trial \| 46.5 km (28.9 mi) \| miguel indurain (es ] Execute this SQL based on the above table: select terrain order by stage desc limit 1	individual time trial
[ 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 count ( from ) where royal house = 'None'	0
[ header: # \| name \| age \| disappeared \| found row 1 : 1 \| wendy lee coffield \| 16 \| july 8, 1982 \| july 15, 1982 row 2 : 3 \| debra lynn bonner \| 23 \| july 25, 1982 \| august 12, 1982 row 3 : 4 \| marcia fay chapman \| 31 \| august 1, 1982 \| august 15, 1982 row 4 : 5 \| cynthia jean hind \| 17 \| august 11, 1982 \| august 15, 1982 row 5 : 6 \| opal charmaine mills \| 16 \| august 12, 1982 \| august 15, 1982 row 6 : 7 \| terry rene milligan \| 16 \| august 29, 1982 \| april 1, 1984 row 7 : 9 \| debra lorraine estes \| 15 \| september 20, 1982 \| may 30, 1988 row 8 : 11 \| denise darcel bush \| 23 \| october 8, 1982 \| june 12, 1985 row 9 : 13 \| shirley marie sherrill \| 18 \| october 20-22, 1982 \| june 1985 row 10 : 14 \| rebecca "becky" marr \| 20 \| december 3, 1982 \| december 21, 2010 row 11 : 15 \| colleen renee brock \| 15 \| december 24, 1982 \| may 26, 1984 row 12 : 18 \| delores laverne willi \| 17 \| march 8-14, 1983 \| march 31, 1984 row 13 : 19 \| gail lynn mathews \| 23 \| april 10, 1983 \| september 18, 1983 row 14 : 20 \| andrea m. childers \| 19 \| april 14, 1983 \| october 11, 1989 row 15 : 21 \| sandra kay gabbert \| 17 \| april 17, 1983 \| april 1, 1984 row 16 : 22 \| kimi-kai pitsor \| 16 \| april 17, 1983 \| december 15, 1983 row 17 : 23 \| marie m. malvar \| 18 \| april 30, 1983 \| september 26, 2003 row 18 : 24 \| carol ann christensen \| 21 \| may 3, 1983 \| may 8, 1983 row 19 : 25 \| martina theresa authorlee \| 18 \| may 22, 1983 \| november 14, 1984 row 20 : 26 \| cheryl lee wims \| 18 \| may 23, 1983 \| march 22, 1984 row 21 : 27 \| yvonne "shelly" anto \| 19 \| may 31, 1983 \| october 15, 1983 row 22 : 28 \| carrie ann rois \| 15 \| may 31 - june 13, 1983 \| march 10, 1985 row 23 : 31 \| tina marie thomp \| 21 \| july 25, 1983 \| april 20, 1984 row 24 : 32 \| april dawn buttram \| 16 \| august 18, 1983 \| august 30, 2003 row 25 : 34 \| tracy ann winston \| 19 \| september 12, 1983 \| march 27, 1986 row 26 : 36 \| mary sue bello \| 25 \| october 11, 1983 \| october 12, 1984 row 27 : 37 \| pammy annette avent \| 15 \| october 26, 1983 \| august 16, 2003 row 28 : 38 \| delise louise plager \| 22 \| october 30, 1983 \| february 14, 1984 row 29 : 39 \| kimberly l. nels \| 21 \| november 1, 1983 \| june 14, 1986 row 30 : 40 \| lisa yates \| 19 \| december 23, 1983 \| march 13, 1984 row 31 : 42 \| cindy anne smith \| 17 \| march 21, 1984 \| june 27, 1987 row 32 : 45 \| marta reeves \| 36 \| march 5, 1990 \| september 20, 1990 row 33 : 46 \| patricia yellowrobe \| 38 \| january 1998 \| august 6, 1998 row 34 : 47 \| unidentified white female \| 12-17 \| died prior to may 1983 \| march 21, 1984 row 35 : 49 \| unidentified female \| 13-24 \| 1973-1993 \| august 2003 ] Execute this SQL based on the above table: select found where name != 'yvonne "shelly" antosh' and age = ( select age where name = 'yvonne "shelly" antosh' )	october 11, 1989, march 27, 1986, march 13, 1984
[ header: region \| country \| location \| size (m) \| payload (metric tonnes) \| degrees of freedom \| x horiz disp (mm) \| y horiz disp (mm) \| z vert disp (mm) \| x horiz vel (mm/s) \| y horiz vel (mm/s) \| z vert vel (mm/s) \| x horiz accel (m/s2) \| y horiz accel (m/s2) \| z vert accel (m/s2) \| max freq (hz) \| details checked row 1 : asia \| china \| xi'a university of architecture & \| 2 x 2 \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None row 2 : asia \| japan \| hitachi engineering corp \| 4 x 4 \| 20 \| 1 \| ±150 \| None \| None \| ±750 \| None \| None \| ±20 \| None \| None \| 30 \| None row 3 : asia \| japan \| ishikawajima harima \| 4.5 x 4.5 \| 35 \| 6 \| ±100 \| ±100 \| ±67 \| ±750 \| ±750 \| ±500 \| ±15 \| ±15 \| ±10 \| 50 \| None row 4 : asia \| japan \| kumagai-gumi corp \| 5 x 5 \| 64 \| 6 \| ±80 \| ±260 \| ±50 \| ±600 \| ±1500 \| ±500 \| ±30 \| ±10 \| ±10 \| 70 \| None row 5 : asia \| japan \| ministry of construction \| 6 x 8 \| 100 \| 2 \| ±75 \| None \| None \| ±600 \| None \| None \| ±7 \| None \| None \| 30 \| None row 6 : asia \| japan \| shimizu corporation \| 4 x 4 \| 20 \| 3 \| ±200 \| None \| None \| ±1000 \| None \| None \| ±10 \| None \| None \| 50 \| None row 7 : asia \| japan \| tobishima corp ltd \| 4 x 4 \| 20 \| 2 \| ±75 \| None \| None \| None \| None \| None \| ±15 \| None \| None \| 30 \| None row 8 : canada \| canada \| university of british columbia \| 4 x 4 \| 30 \| 6 \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None row 9 : europe \| france \| commissariat a l'energie \| 4 x 3 \| 20 \| 1 \| ±125 \| None \| None \| ±1000 \| None \| None \| ±10 \| None \| None \| 50 \| 27/01/2011 row 10 : europe \| italy \| european centre for training & research in earthquake engineering \| 5.6 x 7 \| 140 \| 1 \| ±500 \| None \| None \| ±2200 \| None \| None \| 59 \| None \| None \| 50 \| None row 11 : europe \| italy \| european centre for training & research in earthquake engineering \| 1.6 x 4.4 \| 5000 (vertical load) \| 5 \| ±500 \| ±265 \| 140 \| ±2200 \| ±600 \| ±250 \| 18 \| None \| None \| 20 \| None row 12 : europe \| spain \| cedex \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None row 13 : usa \| colorado \| anco engineers, inc boulder, colora \| 3 x 3 \| 10 \| 3 \| ±200 \| ±200 \| ±200 \| ±2000 \| ±2000 \| ±2000 \| ±30 \| ±30 \| ±30 \| 40 \| 16/10/2012 ] Execute this SQL based on the above table: select details checked order by y horiz accel (m/s2) limit 234	27/01/2011, 16/10/2012
[ header: title \| year \| artist(s) \| album \| writer(s) \| producer(s) row 1 : "lucky day (song)" \| 2011 \| nicola roberts \| cinderella's eyes \| martina sorbara, dragonette \| andras vleminckx row 2 : "positive" \| 2011 \| taio cruz \| ' \| taio cruz, andr \| andras vleminckx row 3 : "broken (kate ryan song \| 2010 \| kate ryan \| electroshock (kate ryan album \| anders hansson, kate \| anders hansson, felix per row 4 : "give me more" \| 2012 \| tara mcdonald \| i like this beat \| tara mcdonald, luci \| andras vleminckx row 5 : "drop it low (kat deluna \| 2011 \| kat deluna ft fat \| inside out (kat deluna album) \| kat deluna, andra \| andras vleminckx row 6 : "8 days a week" \| 2012 \| jean-roch ft ti \| music saved my life \| jean-roch, timati, \| andras vleminckx row 7 : "can u feel it" \| 2012 \| jean-roch ft tara m \| music saved my life \| jean-roch, tara mcd \| andras vleminckx row 8 : "be there (ballad version)" \| 2011 \| kat deluna \| inside out (kat deluna album) \| kat deluna, andra \| andras vleminckx row 9 : "muevete mueve \| 2011 \| kat deluna \| inside out (kat deluna album) \| kat deluna, andra \| andras vleminckx row 10 : "hollywood" \| 2013 \| mitchell niemeyer \| ' \| andras vleminckx \| andras vleminckx ] Execute this SQL based on the above table: select title where year = ( select year where title = '"broken (kate ryan song)"' ) + 1	"lucky day (song)", "positive", "drop it low (kat deluna song)", "be there (ballad version)", "muevete muevete (ola ola)"
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| russia \| 6 \| 3 \| 7 \| 16 row 2 : 2 \| united states \| 5 \| 0 \| 4 \| 9 row 3 : 3 \| japan \| 3 \| 4 \| 1 \| 8 row 4 : 4 \| france \| 3 \| 1 \| 1 \| 5 row 5 : 5 \| ukraine \| 2 \| 0 \| 2 \| 4 row 6 : 6 \| turkey \| 2 \| 0 \| 1 \| 3 row 7 : 7 \| sweden \| 2 \| 0 \| 0 \| 2 row 8 : 8 \| iran \| 1 \| 2 \| 1 \| 4 row 9 : 9 \| armenia \| 1 \| 1 \| 2 \| 4 row 10 : 10 \| china \| 1 \| 1 \| 1 \| 3 row 11 : 11 \| austria \| 1 \| 0 \| 0 \| 1 row 12 : 11 \| bulgaria \| 1 \| 0 \| 0 \| 1 row 13 : 11 \| south korea \| 1 \| 0 \| 0 \| 1 row 14 : 14 \| germany \| 0 \| 3 \| 4 \| 7 row 15 : 15 \| kazakhstan \| 0 \| 3 \| 0 \| 3 row 16 : 16 \| cuba \| 0 \| 2 \| 3 \| 5 row 17 : 17 \| norway \| 0 \| 2 \| 0 \| 2 row 18 : 18 \| venezuela \| 0 \| 1 \| 1 \| 2 row 19 : 19 \| canada \| 0 \| 1 \| 0 \| 1 row 20 : 19 \| hungary \| 0 \| 1 \| 0 \| 1 row 21 : 19 \| israel \| 0 \| 1 \| 0 \| 1 row 22 : 19 \| moldova \| 0 \| 1 \| 0 \| 1 row 23 : 19 \| poland \| 0 \| 1 \| 0 \| 1 row 24 : 19 \| romania \| 0 \| 1 \| 0 \| 1 row 25 : 25 \| uzbekistan \| 0 \| 0 \| 1 \| 1 row 26 : total \| total \| 29 \| 29 \| 29 \| 87 ] Execute this SQL based on the above table: select nation where nation = 'poland' and nation != 'sweden'	poland
[ header: player \| country \| year(s) won \| r1 \| r2 \| total \| to par row 1 : don january \| united states \| 1967 \| 76 \| 74 \| 150 \| 6 row 2 : jack burke, jr \| united states \| 1956 \| 75 \| 75 \| 150 \| 6 row 3 : raymond floyd \| united states \| 1969 \| 77 \| 74 \| 151 \| 7 row 4 : jay hebert \| united states \| 1960 \| 74 \| 79 \| 153 \| 9 row 5 : dow finsterwald \| united states \| 1958 \| 79 \| 74 \| 153 \| 9 row 6 : doug ford \| united states \| 1955 \| 77 \| 80 \| 154 \| 14 row 7 : jerry barber \| united states \| 1961 \| 78 \| 80 \| 158 \| 14 row 8 : gene sarazen \| united states \| 1922, 1923, 1933 \| 81 \| 79 \| 160 \| 16 row 9 : walter burkemo \| united states \| 1953 \| 83 \| 79 \| 162 \| 18 row 10 : denny shute \| united states \| 1936, 1937 \| 81 \| 87 \| 168 \| 24 ] Execute this SQL based on the above table: select count ( year(s) won ) where player = 'jay hebert'	1
[ header: party \| first duma \| second duma \| third duma \| fourth duma row 1 : russian social democratic party \| 18 (mensheviks) \| 47 (mensheviks) \| 19 (bolsheviks) \| 15 (bolsheviks) row 2 : socialist-revolutionary party \| None \| 37 \| None \| None row 3 : labour group \| 136 \| 104 \| 13 \| 10 row 4 : progressist party \| 27 \| 28 \| 28 \| 41 row 5 : constitutional democratic party (kadets) \| 179 \| 92 \| 52 \| 57 row 6 : non-russian national groups \| 121 \| None \| 26 \| 21 row 7 : centre party \| None \| None \| None \| 33 row 8 : octobrist party \| 17 \| 42 \| 154 \| 95 row 9 : nationalists \| 60 \| 93 \| 26 \| 22 row 10 : rightists \| 8 \| 10 \| 147 \| 154 row 11 : total \| 566 \| 453 \| 465 \| 448 ] Execute this SQL based on the above table: select count ( party ) where party = 'centre party'	1
[ header: season \| tier \| division \| pos. \| notes row 1 : 2003-04 \| 1 \| division de honor \| 1st \| league champion row 2 : 2004-05 \| 1 \| division de honor \| 2nd \| cup champion row 3 : 2005-06 \| 1 \| division de honor \| 3rd \| None row 4 : 2006-07 \| 1 \| division de honor \| 3rd \| None row 5 : 2007-08 \| 1 \| division de honor \| 1st \| league champion row 6 : 2008-09 \| 1 \| division de honor \| 3rd \| None row 7 : 2009-10 \| 1 \| division de honor \| 2nd \| None row 8 : 2010-11 \| 1 \| division de honor \| 2nd \| None row 9 : 2011-12 \| 1 \| division de honor \| 9th \| relegated row 10 : 2012-13 \| 3 \| primera nacional \| 1st \| None row 11 : 2013-14 \| 3 \| primera nacional \| None \| None ] Execute this SQL based on the above table: select pos. where pos. < 572	1st, 2nd, 3rd, 3rd, 1st, 3rd, 2nd, 2nd, 9th, 1st
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 27 march 1977 \| rico perez, alicante \| hungary \| 1-1 \| 1-1 \| friendly row 2 : 2 \| 4 october 1978 \| maksimir, zagreb \| yugoslavia \| 0-1 \| 1-2 \| euro 1980 qualifying row 3 : 3 \| 24 september 1980 \| nepstadion, \| hungary \| 0-1 \| 2-2 \| friendly row 4 : 4 \| 18 february 1981 \| vicente calderon, madrid, \| france \| 1-0 \| 1-0 \| friendly row 5 : 5 \| 23 june 1981 \| azteca, mexico city \| mexico \| 0-1 \| 1-3 \| friendly row 6 : 6 \| 23 june 1981 \| azteca, mexico city \| mexico \| 0-2 \| 1-3 \| friendly row 7 : 7 \| 28 june 1981 \| olimpico, caracas, \| venezuela \| 0-1 \| 0-2 \| friendly row 8 : 8 \| 20 june 1982 \| luis casanova, valencia, \| yugoslavia \| 1-1 \| 2-1 \| 1982 fifa world cup ] Execute this SQL based on the above table: select # where venue = 'luis casanova, valencia, spain'	8
[ header: year \| competition \| venue \| position \| notes row 1 : 1996 \| world junior championships \| sydney, australia \| 15th (q) \| 7.43 m row 2 : 1996 \| asian junior championships \| new delhi, india \| 1st \| 7.68 m row 3 : 1999 \| world championships \| seville, spain \| 6th \| 8.01 m row 4 : 2001 \| east asian games \| osaka, japan \| 3rd \| 7.77 m row 5 : 2002 \| asian championships \| colombo, sri lan \| 3rd \| 7.91 m (w) row 6 : 2002 \| asian games \| busan, south korea \| 4th \| 7.75 m row 7 : 2003 \| universiade \| daegu, south korea \| 7th \| 7.78 m ] Execute this SQL based on the above table: select position order by year limit 1	15th (q)
[ header: year \| place \| gold \| silver \| bronze row 1 : 1970 \| phoenix \| united states of america sally carroll \| soviet union nadezd \| federal republic of germany ortrud f row 2 : 1974 \| thun \| soviet union galina zari \| czechoslovakia ter \| australia judith harrison en row 3 : 1978 \| seoul \| denmark kirsten broge bonnie \| australia julie aitken patricia \| united states of america sally carroll row 4 : 1982 \| caracas \| soviet union marina dobrantcheva \| hungary palma balogh mart \| people's republic of china jian row 5 : 1986 \| suhl \| soviet union marina dobrantcheva \| france martine guepin eve \| albania diana mata eman row 6 : 1990 \| moscow \| soviet union yauheniy \| sweden kerstin bodin \| people's republic of china haiying row 7 : 1994 \| milan \| people's republic of china xiaoping \| korea soon hee boo \| belarus zhanna shitik row 8 : 1998 \| barcelona \| people's republic of china yeq \| korea eun kyung \| mongolia munkhbayar row 9 : 2002 \| lahti \| people's republic of china luna ta \| russia irina dolgat \| united states of america elizabe row 10 : 2006 \| zagreb \| people's republic of china ying chen \| belarus liudmila \| germany munkhbayar dor ] Execute this SQL based on the above table: select year where place = 'moscow'	1990
[ header: stage \| date \| route \| terrain \| length \| winner row 1 : p \| 1 july \| fontenay-sous-bo \| individual time trial \| 6 km (3.7 mi) \| eric vanderaerden (bel row 2 : 1 \| 2 july \| nogent-sur-marne - \| plain stage \| 163 km (101 mi) \| frits pirard (ned row 3 : 2 \| 3 july \| soissons - fontaine-au- \| team time trial \| 100 km (62 mi) \| mercier row 4 : 3 \| 4 july \| valenciennes - rou \| hilly stage \| 152 km (94 mi) \| rudy matthijs (bel) row 5 : 4 \| 5 july \| roubaix - le havre \| plain stage \| 300 km (190 mi) \| serge demierre (sui) row 6 : 5 \| 6 july \| le havre - le mans \| plain stage \| 257 km (160 mi) \| dominique gaigne (fra) row 7 : 6 \| 7 july \| chateaubriant - nantes \| individual time trial \| 58 km (36 mi) \| bert oosterbosch ( row 8 : 7 \| 8 july \| nantes - ile d' \| plain stage \| 216 km (134 mi) \| riccardo magrini (ita row 9 : 8 \| 9 july \| la rochelle - bordeaux \| plain stage \| 222 km (138 mi) \| bert oosterbosch ( row 10 : 9 \| 10 july \| bordeaux - pau \| plain stage \| 207 km (129 mi) \| philippe chevallier (fra row 11 : 10 \| 11 july \| pau - bagneres-de \| stage with mountain(s) \| 201 km (125 mi) \| robert millar (gbr row 12 : 11 \| 12 july \| bagneres-de-luchon \| plain stage \| 177 km (110 mi) \| regis clere (fra) row 13 : 12 \| 13 july \| fleurance - roquefort \| plain stage \| 261 km (162 mi) \| kim andersen (den) row 14 : 13 \| 14 july \| roquefort-sur-s \| hilly stage \| 210 km (130 mi) \| henk lubberding (n row 15 : 14 \| 15 july \| aurillac - issoire \| hilly stage \| 149 km (93 mi) \| pierre le bigaut (fra) row 16 : 15 \| 16 july \| clermont-ferrand - \| individual time trial \| 16 km (9.9 mi) \| angel arroyo (esp) row 17 : 16 \| 17 july \| issoire - saint-etienne \| hilly stage \| 144 km (89 mi) \| michel laurent (fra row 18 : 17 \| 18 july \| la tour-du-pin - alpe \| stage with mountain(s) \| 223 km (139 mi) \| peter winnen (ned) row 19 : 18 \| 20 july \| le bourg-d'oisans \| stage with mountain(s) \| 247 km (153 mi) \| jacques michaud (fra row 20 : 19 \| 21 july \| morzine - avoria \| individual time trial \| 15 km (9.3 mi) \| lucien van impe (bel) row 21 : 20 \| 22 july \| morzine - dijon \| plain stage \| 291 km (181 mi) \| philippe leleu (fr ] Execute this SQL based on the above table: select count ( date )	21
[ header: year \| competition \| venue \| position \| notes row 1 : 1985 \| european indoor championships \| athens, greece \| 1st \| long jump row 2 : 1986 \| european championships \| stuttgart, west germany \| 2nd \| long jump row 3 : 1987 \| european indoor championships \| lievin, france \| 2nd \| long jump row 4 : 1988 \| european indoor championships \| budapest, hungary \| 2nd \| long jump row 5 : 1988 \| summer olympics \| seoul, south korea \| 3rd \| long jump row 6 : 1989 \| european indoor championships \| the hague, netherlands \| 1st \| long jump row 7 : 1989 \| world indoor championships \| budapest, hungary \| 1st \| long jump row 8 : 1990 \| european indoor championships \| glasgow, scotland \| 1st \| long jump row 9 : 1990 \| european indoor championships \| glasgow, scotland \| 1st \| triple jump ] Execute this SQL based on the above table: select year where notes = 'long jump'	1985, 1986, 1987, 1988, 1988, 1989, 1989, 1990
[ header: city \| country \| iata \| icao \| airport \| commenced \| ended row 1 : bangkok \| thailand \| bkk \| vtbs \| suvarnabhumi airport \| 2004 \| present row 2 : chennai \| india \| maa \| vomm \| chennai international airport \| 2007 \| present row 3 : chiang mai \| thailand \| cnx \| vtcc \| chiang mai international airport \| 2005 \| 2008 row 4 : da nang \| vietnam \| dad \| vvdn \| da nang international airport \| 2006 \| 2006 row 5 : dhaka \| bangladesh \| dac \| vghs \| shahjalal international airport \| 2012 \| present row 6 : guangzhou \| china \| can \| zggg \| guangzhou baiyun international airport \| 2006 \| present row 7 : haikou \| china \| hak \| zjhk \| haikou meilan international airport \| 2006 \| present row 8 : hat yai \| thailand \| hdy \| vtss \| hat yai international airport \| 2004 \| present row 9 : ho chi minh city \| vietnam \| sgn \| vvts \| tan son nhat international airport \| 2005 \| present row 10 : hong kong \| hong kong \| hkg \| vhhh \| hong kong international airport \| 2010 \| present row 11 : hyderabad \| india \| hyd \| vohs \| rajiv gandhi international \| 2012 \| present row 12 : kochi \| india \| cok \| voci \| cochin international airport \| 2012 \| present row 13 : krabi \| thailand \| kbv \| vtsg \| krabi airport \| 2005 \| present row 14 : kuala lumpur \| malaysia \| kul \| wmkk \| kuala lumpur international airport \| 2008 \| present row 15 : kuching \| malaysia \| kch \| wbgg \| kuching international airport \| 2008 \| 2013 row 16 : langkawi \| malaysia \| lgk \| wmkl \| langkawi international airport \| 2009 \| 2010 row 17 : lijang \| china \| ljg \| zplj \| lijiang sanyi airport \| 2013 \| present row 18 : lombok \| indonesia \| lop \| wadl \| lombok international airport \| 2013 \| present row 19 : manila \| philippines \| mnl \| rpll \| ninoy aquino international airport \| 2010 \| present row 20 : penang \| malaysia \| pen \| wmkp \| penang international airport \| 2009 \| present row 21 : perth \| australia \| per \| ypph \| perth airport \| 2004 \| present row 22 : phnom penh \| cambodia \| pnh \| vdpp \| phnom penh international airport \| 2012 \| present row 23 : singapore \| singapore \| sin \| wsss \| singapore changi airport[hub \| 2004 \| present row 24 : surabaya \| indonesia \| sub \| warr \| juanda international airport \| 2013 \| present row 25 : taipei \| taiwan \| tpe \| rctp \| taiwan taoy \| 2011 \| present row 26 : thiruvananthapuram \| india \| trv \| votv \| trivandrum international airport \| 2010 \| present row 27 : tiruchirapalli \| india \| trz \| votr \| tiruchirapalli airport \| 2010 \| present row 28 : udon thani \| thailand \| uth \| vtud \| udon thani international airport \| 2007 \| 2007 ] Execute this SQL based on the above table: select country where country in ( 'india' , 'malaysia' ) order by city limit 1	india
[ 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 candidate order by % desc limit 1	peter stoffer
[ header: school \| location \| control \| type \| enrollment \| founded row 1 : air force institute of technology \| wright-patterson af \| public \| dru \| 719 \| 1919 row 2 : california institute of technology \| pasadena, californi \| private \| ru/vh \| 2231 \| 1891 row 3 : california polytechnic state \| san luis obispo, \| public \| master's l \| 18762 \| 1901 row 4 : california state polytechnic \| pomona, california \| public \| master's l \| 22273 \| 1938 row 5 : clarkson university \| potsdam, ny \| private \| ru/h \| 3187 \| 1896 row 6 : colorado school of mines \| golden, colorado \| public \| ru/h \| 4296 \| 1874 row 7 : colorado technical university \| colorado springs, colorad \| private \| dru \| 30020 \| 1965 row 8 : florida institute of technology \| melbourne, florida \| private \| dru \| 8985 \| 1958 row 9 : georgia institute of technology \| atlanta, georgia \| public \| ru/vh \| 20487 \| 1885 row 10 : illinois institute of technology \| chicago, illinois \| private \| ru/h \| 7787 \| 1890 row 11 : massachusetts institute of technology \| cambridge, massachusetts \| private \| ru/vh \| 10894 \| 1861 row 12 : michigan technological university \| houghton, michigan \| public \| ru/h \| 6957 \| 1885 row 13 : missouri university of science and technology \| rolla, missouri \| public \| ru/h \| 7521 \| 1870 row 14 : montana tech of the university of montan \| butte, montana \| public \| bac/diverse \| 2694 \| 1900 row 15 : new jersey institute of technology \| newark, new jersey \| private \| ru/h \| 9558 \| 1881 row 16 : new mexico institute of mining and technology \| socorro, new mexico \| public \| master's m \| 1921 \| 1889 row 17 : oregon institute of technology \| klamath falls, oregon \| public \| bac/diverse \| 3927 \| 1947 row 18 : polytechnic institute of new york university \| brooklyn, new york \| private \| ru/h \| 4514 \| 1854 row 19 : rensselaer polytechnic institute \| troy, new york \| private \| ru/vh \| 7521 \| 1824 row 20 : rochester institute of technology \| henrietta, new york \| private \| master's l \| 17652 \| 1829 row 21 : rose-hulman institute of technology \| terre haute, indiana \| private \| spec/engg \| 1970 \| 1874 row 22 : south dakota school of mines and technology \| rapid city, south dakota \| public \| spec/engg \| 2354 \| 1885 row 23 : southern polytechnic state university \| marietta, georgia \| public \| master's m \| 6202 \| 1948 row 24 : stevens institute of technology \| hoboken, new jersey \| private \| ru/h \| 5260 \| 1870 row 25 : texas tech university \| lubbock, texas \| public \| ru/h \| 32327 \| 1923 row 26 : university of wisconsin-stout \| menomonie, wisconsin \| public \| master's l \| 9339 \| 1891 row 27 : virginia polytechnic institute and state university \| blacksburg, virginia \| public \| ru/vh \| 30739 \| 1872 ] Execute this SQL based on the above table: select count ( location ) where enrollment = 32327	1
[ header: year \| 1st venue \| 2nd venue \| 3rd venue \| 4th venue \| 5th venue \| 6th venue row 1 : 2007 \| sheffield \| mexico city \| nanjing \| None \| None \| None row 2 : 2008 \| tijuana \| sheffield \| nanjing \| None \| None \| None row 3 : 2009 \| doha \| changzhou \| sheffield \| tijuana \| None \| None row 4 : 2010 \| qingdao \| veracruz \| veracruz \| None \| None \| None row 5 : 2011 \| moscow \| beijing \| sheffield \| guanajuato \| None \| None row 6 : 2012 \| dubai \| beijing \| moscow \| tijuana \| None \| None row 7 : 2013 \| beijing \| dubai \| edinburgh \| moscow \| guadalajara \| guadalajara row 8 : 2014 \| beijing \| dubai \| london \| moscow \| windsor \| monterrey ] Execute this SQL based on the above table: select abs ( 1st venue - 3rd venue ) where 1st venue = 'qingdao'	0
[ header: tribunal \| number of autos da fe \| executions in persona \| executions in effigie \| penanced \| total row 1 : barcelona \| 8 \| 1 \| 1 \| 15 \| 17 row 2 : logrono \| 1 \| 1 \| 0 \| 0 \| 1 row 3 : palma de mallorca \| 3 \| 0 \| 0 \| 11 \| 11 row 4 : saragossa \| 1 \| 0 \| 0 \| 3 \| 3 row 5 : valencia \| 4 \| 2 \| 0 \| 49 \| 51 row 6 : las palmas \| 0 \| 0 \| 0 \| 0 \| 0 row 7 : cordoba \| 13 \| 17 \| 19 \| 125 \| 161 row 8 : cuenca \| 7 \| 7 \| 10 \| 35 \| 52 row 9 : santiago de compostela \| 4 \| 0 \| 0 \| 13 \| 13 row 10 : granada \| 15 \| 36 \| 47 \| 369 \| 452 row 11 : llerena \| 5 \| 1 \| 0 \| 45 \| 46 row 12 : madrid \| 4 \| 11 \| 13 \| 46 \| 70 row 13 : murcia \| 6 \| 4 \| 1 \| 106 \| 111 row 14 : seville \| 15 \| 16 \| 10 \| 220 \| 246 row 15 : toledo \| 33 \| 6 \| 14 \| 128 \| 148 row 16 : valladolid \| 10 \| 9 \| 2 \| 70 \| 81 row 17 : total \| 125 \| 111 \| 117 \| 1235 \| 1463 ] Execute this SQL based on the above table: select tribunal where penanced > 529	total
[ header: year \| song \| chart positions us country \| chart positions can country \| album row 1 : 1968 \| "god help you woman" \| 32 \| 24 \| singles only row 2 : 1969 \| "please take me back" \| 40 \| None \| singles only row 3 : 1969 \| "i'm not through loving you" \| 52 \| None \| singles only row 4 : 1969 \| "molly" \| 53 \| None \| singles only row 5 : 1973 \| "i see his love all over you" \| 67 \| None \| singles only row 6 : 1974 \| "fool passin' through" \| 68 \| None \| singles only row 7 : 1974 \| "forgettin' 'bout \| 51 \| None \| singles only row 8 : 1975 \| "one, two, three (never \| 88 \| None \| singles only row 9 : 1975 \| "woman, woman" \| 43 \| 46 \| singles only row 10 : 1976 \| "she's free but she's \| 66 \| None \| singles only row 11 : 1977 \| "chasin' my tail" \| 88 \| None \| singles only row 12 : 1977 \| "don't let my love stand in your \| 86 \| None \| singles only row 13 : 1983 \| "when you're not a lady" \| 16 \| None \| the man in the mirror row 14 : 1983 \| "you got me running" \| 28 \| None \| the man in the mirror row 15 : 1983 \| "the man in the mirror" \| 17 \| None \| the man in the mirror row 16 : 1984 \| "if i could only dance with you" \| 10 \| 10 \| the man in the mirror row 17 : 1984 \| "you're gettin' to me \| 1 \| 3 \| the man in the mirror row 18 : 1984 \| "let me down easy" \| 16 \| 33 \| the man in the mirror row 19 : 1985 \| "i'll be your fool tonight" \| 54 \| None \| past the point of no return row 20 : 1985 \| "in another minute" \| 27 \| None \| past the point of no return row 21 : 1986 \| "if i don't love you" \| 53 \| None \| past the point of no return row 22 : 1986 \| "the lights of albuquerque" \| 40 \| None \| everybody knows i'm yours ] Execute this SQL based on the above table: select max ( chart positions us country )	88.0
[ header: date \| winning team \| score \| losing team \| score \| ot \| city \| state/province \| arena \| attendance row 1 : october 21, 1993 \| st. louis \| 5 \| san jose \| 2 \| None \| sacramento \| ca \| arco arena \| 7144 row 2 : october 31, 1993 \| ny rangers \| 4 \| new jersey \| 1 \| None \| halifax \| ns \| halifax metro centre \| 8200 row 3 : november 3, 1993 \| pittsburgh \| 6 \| buffalo \| 2 \| None \| sacramento \| ca \| arco arena \| 10117 row 4 : november 9, 1993 \| anaheim \| 4 \| dallas \| 2 \| None \| phoenix \| az \| america west arena \| 8143 row 5 : november 18, 1993 \| ny islanders \| 5 \| montreal \| 1 \| None \| hamilton \| on \| copps coliseum \| 17008 row 6 : december 9, 1993 \| dallas \| 6 \| ottawa \| 1 \| None \| minneapolis \| mn \| target center \| 14058 row 7 : december 23, 1993 \| vancouver \| 4 \| calgary \| 3 \| None \| saskatoon \| sk \| saskplace \| 11429 row 8 : december 31, 1993 \| philadelphia \| 4 \| boston \| 3 \| None \| minneapolis \| mn \| target center \| 10855 row 9 : january 4, 1994 \| tampa bay \| 1 \| toronto \| 0 \| None \| hamilton \| on \| copps coliseum \| 17526 row 10 : january 5, 1994 \| montreal \| 2 \| quebec \| 0 \| None \| phoenix \| az \| america west arena \| 11393 row 11 : january 6, 1994 \| st. louis \| 2 \| hartford \| 1 \| None \| cleveland \| oh \| richfield coliseum \| 6956 row 12 : january 17, 1994 \| detroit \| 6 \| tampa bay \| 3 \| None \| minneapolis \| mn \| target center \| 8764 row 13 : january 23, 1994 \| vancouver \| 5 \| edmonton \| 4 \| (ot) \| saskatoon \| sk \| saskplace \| None row 14 : january 24, 1994 \| calgary \| 3 \| los angeles \| 3 \| (ot) \| phoenix \| az \| america west arena \| 14864 row 15 : february 2, 1994 \| washington \| 5 \| philadelphia \| 2 \| None \| cleveland \| oh \| richfield coliseum \| 8312 row 16 : february 8, 1994 \| san jose \| 4 \| chicago \| 3 \| None \| sacramento \| ca \| arco arena \| 14182 row 17 : february 22, 1994 \| florida \| 3 \| winnipeg \| 2 \| None \| hamilton \| on \| copps coliseum \| 6291 row 18 : february 24, 1994 \| detroit \| 3 \| hartford \| 0 \| None \| cleveland \| oh \| richfield coliseum \| 11621 row 19 : march 8, 1994 \| chicago \| 3 \| anaheim \| 0 \| None \| phoenix \| az \| america west arena \| 13847 row 20 : march 9, 1994 \| ny rangers \| 7 \| washington \| 5 \| None \| halifax \| ns \| halifax metro centre \| 9200 row 21 : march 18, 1994 \| buffalo \| 2 \| ny islanders \| 2 \| (ot) \| minneapolis \| mn \| target center \| 8016 ] Execute this SQL based on the above table: select count ( * ) where date = 'january 6, 1994'	1
[ header: date \| opponent# \| rank# \| site \| result \| attendance \| record row 1 : 11/26/1985 \| vs. loyola (chi \| #7 \| assembly hall • champaign, il \| w 95-64 \| 13143 \| 1-0 row 2 : 11/29/1985 \| vs. #13 oklahom \| #7 \| kaneohe armory • hon \| l 57-59 \| 300 \| 2-1 row 3 : 12/4/1985 \| vs. wisconsin-green \| #12 \| assembly hall • champaign, il \| w 84-34 \| 13417 \| 3-1 row 4 : 12/7/1985 \| vs. utah state \| #12 \| assembly hall • champaign (illini classic \| w 115-64 \| 13980 \| 5-1 row 5 : 12/10/1985 \| vs. tennessee \| #10 \| mabee center • tulsa, \| l 51-54 \| 12700 \| 5-2 row 6 : 12/14/1985 \| vs. houston \| #10 \| assembly hall • champaign, il \| w 102-92 \| 15564 \| 6-2 row 7 : 12/23/1985 \| vs. howard \| #15 \| assembly hall • champaign, il \| w 67-55 \| 10043 \| 8-2 row 8 : 12/30/1985 \| vs. iowa state \| #16 \| rosemont horizon • rosemont, il \| w 64-62 \| 9876 \| 9-2 row 9 : 1/2/1986 \| vs. minnesota \| #14 \| assembly hall • champaign, il \| w 76-57 \| 13329 \| 10-2 (1-0) row 10 : 1/4/1986 \| vs. iowa \| #14 \| assembly hall • champaign, il \| l 59-60 \| 16676 \| 10-3 (1-1) row 11 : 1/8/1986 \| @ #2 michigan \| #18 \| crisler arena • ann arbor, \| l 59-61 \| 13609 \| 10-4 (1-2) row 12 : 1/16/1986 \| vs. wisconsin \| #nr \| assembly hall • champaign, il \| w 73-54 \| 12829 \| 11-5 (2-3) row 13 : 1/18/1986 \| vs. northwestern \| #nr \| assembly hall • champaign, il \| w 72-46 \| 13891 \| 12-5 (3-3) row 14 : 1/23/1986 \| @ ohio state \| #nr \| st. john arena • colum \| w 67-65 \| 13071 \| 13-5 (4-3) row 15 : 2/8/1986 \| vs. michigan \| #nr \| assembly hall • champaign, il \| w 83-79 ot \| 16353 \| 15-7 (6-5) row 16 : 2/13/1986 \| @ northwestern \| #nr \| welsh-ryan arena • \| w 75-52 \| 8117 \| 16-7 (7-5) row 17 : 2/15/1986 \| @ wisconsin \| #nr \| wisconsin field house • madison \| w 82-74 \| 10605 \| 17-7 (8-5) row 18 : 2/20/1986 \| vs. #15 indiana \| #nr \| assembly hall • champaign, il \| l 60-61 \| 16349 \| 17-8 (8-6) row 19 : 2/22/1986 \| vs. ohio state \| #nr \| assembly hall • champaign, il \| w 66-62 \| 16376 \| 18-8 (8-7) row 20 : 3/1/1986 \| @ #4 georgia tech \| #12 \| alexander memorial coliseum • \| w 59-57 \| 15148 \| 20-8 ] Execute this SQL based on the above table: select rank# where attendance > 13980	#10, #14, #nr, #nr, #nr, #12
[ header: typ \| construction time \| cylinders \| capacity \| power \| top speed row 1 : vis-a-vis \| 1900-1903 \| 1 \| 400 cc \| 2,6 kw (3,5 p \| 30 km/h (19 mph) row 2 : 45 ps (33 kw; \| 1900-1903 \| 1 \| 510 cc \| 3,3 kw (4,5 ps \| 35 km/h (22 mph) row 3 : 24/28 ps \| 1904-1905 \| 4 inline \| 4,016 cc \| 20,6 kw (28 ps \| 65 km/h (40 mph) row 4 : 8/12 (8/14) ps \| 1904-1906 \| 2 inline \| 2,008 cc \| 8,8-10,3 kw (12-14 \| 50 km/h (31 mph) row 5 : 4/8 ps \| 1906-1907 \| 2 v \| 1,032 cc \| 5,9 kw (8 ps) \| 55 km/h (34 mph) row 6 : 5/9 ps \| 1907-1909 \| 2 inline \| 1,134 cc \| 6,6 kw (9 ps) \| 60 km/h (37 mph) row 7 : 11/18 ps \| 1907-1910 \| 4 inline \| 2,799 cc \| 13,2 kw (18 ps) \| 55 km/h (34 mph) row 8 : 23/50 ps \| 1909-1912 \| 4 inline \| 5,800 cc \| 42,6 kw (58 p \| None row 9 : 13/30 ps \| 1909-1912 \| 4 inline \| 3,180 cc \| 25,7 kw (35 ps \| None row 10 : 10/28 ps \| 1909-1912 \| 4 inline \| 2,612 cc \| 22 kw (30 ps) \| None row 11 : k 7/15 ps \| 1910-1913 \| 4 inline \| 1,768 cc \| 11 kw (15 ps) \| 60 km/h (37 mph) row 12 : 30/70 ps \| 1911-1914 \| 4 inline \| 7,853 cc \| 51 kw (70 ps) \| 115 km/h (71 mph) row 13 : 15/40 ps \| 1913-1914 \| 4 inline \| 3,866 cc \| 33 kw (45 ps) \| 90 km/h (56 mph) row 14 : 25/55 ps \| 1913-1914 \| 4 inline \| 6,457 cc \| 44 kw (60 ps) \| None row 15 : 12/30 ps \| 1914 \| 4 inline \| 3,115 cc \| 25,7 kw (35 ps \| None row 16 : 9/24 (9/30) ps \| 1921-1924 \| 4 inline \| 2,298 cc \| 17,6-22 kw (24-30 \| 65 km/h (40 mph)- row 17 : 18/60 ps \| 1921-1924 \| 4 inline \| 4,712 cc \| 44 kw (60 ps) \| 100 km/h (62 mph) row 18 : 18/80 ps \| 1925-1927 \| 6 inline \| 4,704 cc \| 59 kw (80 ps \| 100 km/h (62 mph) row 19 : standard 8 \| 1928-1933 \| 8 inline \| 3,887 cc \| 51-59 kw (70-80 \| 100 km/h (62 mph)- row 20 : standard 6 3u \| 1933-1934 \| 6 inline \| 2,916 cc \| 44 kw (60 ps) \| 100 km/h (62 mph) ] Execute this SQL based on the above table: select typ order by cylinders - capacity desc limit 1	vis-a-vis
[ header: rank \| name \| nationality \| result \| notes row 1 : None \| huang qiuyan \| china \| 14.39 \| sb row 2 : None \| anastasiya juravlev \| uzbekistan \| 14.21 \| #name? row 3 : None \| zhang hao \| china \| 13.63 \| None row 4 : 4 \| wacharee ritthiwat \| thailand \| 13.54 \| sb row 5 : 5 \| tatyana bocharova \| kazakhstan \| 13.5 \| None row 6 : 6 \| wang kuo-huei \| chinese taipei \| 13.25 \| sb row 7 : 7 \| fumiyo yoshida \| japan \| 13.09 \| None row 8 : 8 \| ngew sin mei \| malaysia \| 12.93 \| None row 9 : 9 \| manisha dey \| india \| 12.83 \| None row 10 : 10 \| thitima muangjan \| thailand \| 12.79 \| None row 11 : 11 \| phan thi thu lan \| vietnam \| 12.75 \| None row 12 : 12 \| lo yu-hsin \| chinese taipei \| 12.69 \| None row 13 : None \| elena bobrovskaya \| kyrgyzstan \| dns \| None ] Execute this SQL based on the above table: select nationality order by rank desc limit 1	chinese taipei
[ header: category \| urban settlements \| population \| male \| female \| inhabited localities in jurisdiction row 1 : urban \| dzhebariki-khaya \| 1694 \| 844 (49.8%) \| 850 (50.2%) \| urban-type settlement of dzhebar row 2 : urban \| khandyga (ханд \| 6638 \| 3326 (49.8%) \| 3312 (50.2%) \| urban-type settlement of khandyg row 3 : rural \| bayagantaysky na \| 1823 \| 884 (48.5%) \| 939 (51.5%) \| selo of krest-khal row 4 : rural \| megino-aldansky n \| 1020 \| 490 (48.0%) \| 530 (52.0%) \| selo of megino-al row 5 : rural \| okhot-perevozovsky \| 142 \| 70 (49.3%) \| 72 (50.7%) \| selo of okhotsky-per row 6 : rural \| sasylsky na \| 555 \| 275 (49.5%) \| 280 (50.5%) \| selo of keskil row 7 : rural \| teploklyuchevsky \| 887 \| 447 (50.4%) \| 440 (49.6%) \| selo of teply row 8 : rural \| tomponsky national nasleg \| 915 \| 458 (50.1%) \| 457 (49.9%) \| selo of topolinoye row 9 : rural \| ynginsky nasleg \| 425 \| 217 (51.1%) \| 208 (48.9%) \| selo of novy selo ] Execute this SQL based on the above table: select count ( category ) where urban settlements = 'tomponsky national nasleg ( томпонскии национальныи наслег)'	0
[ header: date \| opponent# \| rank# \| site \| tv \| result \| attendance row 1 : september 18 \| smu \| #10 \| oklahoma memorial stadium • norman \| None \| w 30-0 \| 53545 row 2 : september 25 \| at pittsburgh \| #11 \| pitt stadium • pittsburgh, pa \| None \| w 55-29 \| 34916 row 3 : october 2 \| #17 usc \| #8 \| oklahoma memorial stadium • norman \| None \| w 33-20 \| 62351 row 4 : october 9 \| vs. #3 texas \| #8 \| cotton bowl • dallas, t \| cbs \| w 48-27 \| 72032 row 5 : october 16 \| #6 colorado \| #2 \| oklahoma memorial stadium • norman \| None \| w 45-17 \| 62501 row 6 : october 23 \| at kansas state \| #2 \| ksu stadium • manhattan \| None \| w 75-28 \| 37198 row 7 : october 30 \| iowa state \| #2 \| oklahoma memorial stadium • norman \| None \| w 39-7 \| 60477 row 8 : november 6 \| at missouri \| #2 \| memorial stadium • columbia, mo \| None \| w 20-3 \| 55098 row 9 : november 13 \| kansas \| #2 \| oklahoma memorial stadium • norman \| abc \| w 56-10 \| 54347 row 10 : november 25 \| #1 nebraska \| #2 \| oklahoma memorial stadium • norman \| abc \| l 31-35 \| 62884 row 11 : december 4 \| at oklahoma state \| #3 \| lewis field • stillwater, ok \| None \| w 58-14 \| 36571 row 12 : january 1 \| vs. #5 auburn \| #3 \| tulane stadium • new orleans \| abc \| w 40-22 \| 84031 ] Execute this SQL based on the above table: select date where date in ( 'november 6' , 'november 6' ) order by attendance limit 1	november 6
[ header: name \| state of residence \| took office \| left office \| president served under row 1 : karl rove \| texas \| january 21, 2001 \| august 31, 2007 \| george w. bush row 2 : barry steven jackson \| ohio \| september 1, 2007 \| january 19, 2009 \| george w. bush row 3 : pete rouse \| south dakota \| january 20, 2009 \| october 1, 2010 \| barack obama row 4 : david axelrod \| illinois \| january 20, 2009 \| january 10, 2011 \| barack obama row 5 : david plouffe \| delaware \| january 10, 2011 \| january 25, 2013 \| barack obama row 6 : valerie jarrett \| illinois \| january 20, 2009 \| present \| barack obama row 7 : daniel pfeif \| delaware \| january 25, 2013 \| present \| barack obama ] Execute this SQL based on the above table: select max ( left office )	present
[ header: date \| race \| competition \| rider \| country \| location row 1 : february 9 \| tour of qatar, stage 3 \| uci asia tour \| tom boonen (bel) \| qatar \| mesaieed row 2 : february 11 \| tour of qatar, stage 5 \| uci asia tour \| tom boonen (bel) \| qatar \| madinat al shamal row 3 : february 18 \| tour of oman, stage 5 \| uci asia tour \| tom boonen (bel) \| oman \| sultan qaboos row 4 : march 11 \| tirreno-adriatico \| uci world ranking \| tom boonen (bel) \| italy \| montecatini terme row 5 : march 26 \| volta a catalunya \| uci protour \| davide malacarne (it \| spain \| cabaces row 6 : may 10 \| giro d'italia, stage \| uci world ranking \| wouter weylandt (bel) \| netherlands \| middelburg row 7 : may 13 \| giro d'italia, stage \| uci world ranking \| jerome pineau (fra) \| italy \| novi ligure row 8 : may 30 \| giro d'italia, premi \| uci world ranking \| jerome pineau (fra) \| italy \| None row 9 : may 30 \| tour of belgium, overall \| uci europe tour \| stijn devolder (bel) \| belgium \| None row 10 : june 23 \| halle-ingooigem \| uci europe tour \| jurgen van de walle (bel) \| belgium \| ingooigem row 11 : july 5 \| tour de france, stage 2 \| uci world ranking \| sylvain chavane \| belgium \| spa row 12 : july 10 \| tour de france, stage 7 \| uci world ranking \| sylvain chavane \| france \| les rousses row 13 : september 12 \| vuelta a espana, \| uci world ranking \| carlos barredo (esp) \| spain \| lagos de covadonga row 14 : october 3 \| circuit franco-belge, stage 4 \| uci europe tour \| wouter weylandt (bel) \| belgium \| tournai row 15 : october 10 \| g.p. beghelli \| uci europe tour \| dario cataldo (ita \| italy \| monteveglio ] Execute this SQL based on the above table: select country where location = 'les rousses'	france
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| brazil \| 13 \| 18 \| 12 \| 43 row 2 : 2 \| argentina \| 7 \| 4 \| 7 \| 18 row 3 : 3 \| chile \| 7 \| 2 \| 3 \| 12 row 4 : 4 \| colombia \| 5 \| 5 \| 4 \| 14 row 5 : 5 \| venezuela \| 4 \| 6 \| 6 \| 16 row 6 : 6 \| uruguay \| 1 \| 1 \| 0 \| 2 row 7 : 7 \| peru \| 0 \| 1 \| 0 \| 1 row 8 : 8 \| panama \| 0 \| 0 \| 2 \| 2 row 9 : 8 \| bolivia \| 0 \| 0 \| 2 \| 2 row 10 : 10 \| paraguay \| 0 \| 0 \| 1 \| 1 ] Execute this SQL based on the above table: select nation order by rank desc limit 1	paraguay
[ header: year \| album \| label \| peak chart positions us \| peak chart positions us r&b row 1 : 1969 \| gimme shelter \| ode \| None \| None row 2 : 1971 \| celebration \| ode \| None \| None row 3 : 1971 \| merry clayton \| ode \| 180 \| 36 row 4 : 1975 \| keep your eye on the sparrow \| ode \| 146 \| 50 row 5 : 1979 \| emotion \| fontana \| None \| None row 6 : 1994 \| miracles \| a&m \| None \| None ] Execute this SQL based on the above table: select album where label = 'ode'	gimme shelter, celebration, merry clayton, keep your eye on the sparrow
[ header: \| poetry prize \| poetry accessit(s) \| honourable mention(s) \| prose prize \| prose accessit(s) \| honourable mention(s) row 1 : 1st edition (1996) \| agustin hermida castro \| None \| None \| beatriz pineiro calvo \| sechu sende \| None row 2 : 2nd edition (1997) \| modesto fraga moure \| roberto x. trab \| None \| marco v. lama del \| rosa aneiros diaz; \| None row 3 : 3rd edition (1998) \| antonio esteban gonz \| jose ricardo velez va \| None \| xabier castro garcia \| None \| None row 4 : 4th edition (1999) \| roberto x. trab \| None \| None \| beatriz pineiro calvo \| None \| None row 5 : 5th edition (2000) \| baldomero iglesia \| unai gonzalez sua \| None \| jaime naveria pedreira \| None \| None row 6 : 6th edition (2001) \| manuel terrin benavides \| baldomero iglesia \| None \| franciso calo lourido \| pedro uris esco \| None row 7 : 7th edition (2002) \| simon iglesias \| salvador moreno perez ; \| None \| xose nicanor \| xaime naveira pedreira \| None row 8 : 8th edition (2003) \| salvador moreno perez ; \| francisco pineiro gonzalez \| None \| xaime dominguez toxo \| xoan xose gar \| None row 9 : 10th edition (2005) \| maria teresa nunez \| amadeo cobas ; una \| None \| francisco pineiro gonzalez \| julio romero su \| None row 10 : 12th edition (2007) \| carmen carames gorgal \| alfredo macias macias \| None \| rafael laso \| francisco pineiro gonzalez \| None row 11 : 15th edition (2010) \| emma pedreira \| manuel garcia diaz pintad \| None \| pepe pol \| noa maria carballa riva \| None row 12 : 16th edition (2011) \| beatriz lorenzo \| jose maria calo ; pa \| None \| xose manuel dopazo \| noa maria carballa riva \| None row 13 : 17th edition (2012) \| jose antonio repeto \| xose otero can \| margarita souviron lopez \| erick hernandez mora \| pepe pol ; xaime domin \| sofia rodriguez sua ] Execute this SQL based on the above table: select count ( )	13
[ header: year \| film \| publisher \| director \| distributor \| worldwide gross \| notes row 1 : 1980 \| superman ii \| dc comics \| richard lester \| warner bros \| $108,185,706 \| sequel to 1978's superman row 2 : 1987 \| superman iv: the quest for peace \| dc comics \| sidney j. furie \| warner bros \| $15,681,020 \| sequel to 1983's superman ii row 3 : 1989 \| the return of swamp thing \| dc comics \| jim wynorski \| millimeter films \| $192,816 \| sequel to 1982's swamp thing row 4 : 1989 \| the punisher \| marvel comics \| mark goldblatt \| artisan entertainment \| $287,434 \| direct-to-video in north america row 5 : 1991 \| teenage mutant ninja turtles i \| mirage comics \| michael pressman \| new line cinema \| $78,656,813 \| sequel to 1990's teenage mutant nin row 6 : 1991 \| the guyver \| chuang yi publishing \| steve wang \| new line cinema \| None \| None row 7 : 1991 \| the rocketeer \| pacific comics \| joe johnston \| walt disney pictures \| $62,000,000 \| None row 8 : 1993 \| the meteor man \| original \| robert townsend \| metro-goldwyn-mayer \| $8,023,147 \| None row 9 : 1994 \| the fantastic four \| marvel comics \| oley sassone \| constantin film \| unreleased \| None row 10 : 1994 \| blankman \| original \| mike binder \| columbia pictures \| $7,941,977 \| None row 11 : 1995 \| tank girl \| dark horse comics \| rachel talalay \| united artists \| $4,064,495 \| None row 12 : 1997 \| star kid \| original \| manny coto \| trimark pictures \| $7,029,025 \| None row 13 : 1998 \| blade \| marvel comics \| stephen norrington \| new line cinema \| $131,183,530 \| None row 14 : 2000 \| x-men \| marvel comics \| bryan singer \| 20th century fox \| $296,339,527 \| None row 15 : 2002 \| spider-man \| marvel comics \| sam raimi \| columbia pictures \| $821,708,551 \| None row 16 : 2003 \| x2: x-men united \| marvel comics \| bryan singer \| 20th century fox \| $407,711,549 \| sequel to 2000's x-men row 17 : 2003 \| hulk \| marvel comics \| ang lee \| universal studios \| $245,360,480 \| None row 18 : 2005 \| man-thing \| marvel comics \| brett leonard \| cinemax \| direct-to-video \| None row 19 : 2008 \| hancock \| original \| peter berg \| columbia pictures \| $624,386,746 \| comedy-drama row 20 : 2008 \| the dark knight \| dc comics \| christopher nolan \| warner bros \| $1,004,558,444 \| sequel to 2005's batman begins row 21 : 2011 \| vs \| original \| jason trost \| image entertainment \| None \| None row 22 : 2012 \| the dark knight rises \| dc comics \| christopher nolan \| warner bros \| $1,084,439,099 \| sequel to 2008's the dark knight row 23 : 2013 \| thor: the dark world \| marvel comics \| alan taylor \| walt disney studios motion pictures \| $629,972,697 \| sequel to 2011's thor row 24 : 2014 \| captain america: the winter soldier \| marvel comics \| anthony and joseph \| walt disney studios motion pictures \| None \| sequel to 2011's captain america: the ] Execute this SQL based on the above table: select count ( * ) where film = 'thor: the dark world'	1
[ header: no \| date \| race \| track \| winner \| reports row 1 : 1 \| 02-09-2008 \| daytona arca 200 \| daytona \| michael annett \| report row 2 : 2 \| 04-13-2008 \| kentuckiana ford dealers 200 \| salem speedway \| justin allgaier \| report row 3 : 3 \| 04-19-2008 \| prairie meadows 250 \| iowa speedway \| matt hawkins \| report row 4 : 4 \| 04-25-2008 \| kansas lottery $150 grand \| kansas speedway \| scott speed \| report row 5 : 5 \| 05-04-2008 \| carolina 500 \| rockingham \| joey logano \| report row 6 : 6 \| 05-10-2008 \| drive smart! 150 \| kentucky \| ricky stenhouse, jr \| report row 7 : 7 \| 05-18-2008 \| hantz group 200 \| toledo \| matt carter \| report row 8 : 8 \| 06-07-2008 \| pocono 200 \| pocono \| ricky stenhouse, jr \| report row 9 : 9 \| 06-14-2008 \| racing for wildlife 200 \| michigan \| justin lofton \| report row 10 : 10 \| 06-29-2008 \| cayuga arca re/max \| cayuga \| justin allgaier \| report row 11 : 11 \| 07-18-2008 \| kentucky 150 \| kentucky \| scott speed \| report row 12 : 12 \| 07-26-2008 \| berlin arca 200 \| berlin \| scott speed \| report row 13 : 13 \| 08-02-2008 \| pennsylvania 200 \| pocono \| justin allgaier \| report row 14 : 14 \| 08-09-2008 \| toyota arca 150 \| nashville ss \| scott speed \| report row 15 : 15 \| 08-17-2008 \| allen crowe 100 \| springfield \| frank kimmel \| report row 16 : 16 \| 09-01-2008 \| southern illinois 100 \| duquoin \| frank kimmel \| report row 17 : 17 \| 09-06-2008 \| chicagoland arca 200 \| chicagoland \| scott lagasse jr \| report row 18 : 18 \| 09-13-2008 \| eddie gilstrap motors \| salem \| frank kimmel \| report row 19 : 19 \| 09-28-2008 \| loud energy drink 150 \| njmp \| justin allgaier \| report row 20 : 20 \| 10-03-2008 \| food world 250 \| talladega \| justin allgaier \| report row 21 : 21 \| 10-12-2008 \| toledo arca 200 \| toledo \| justin allgaier \| report ] Execute this SQL based on the above table: select sum ( no )	231.0
[ header: season \| tier \| division \| place row 1 : 1928-84 \| 5 \| regional \| None row 2 : 1984/85 \| 4 \| 3a \| 6th row 3 : 1985/86 \| 4 \| 3a \| 9th row 4 : 1986/87 \| 4 \| 3a \| 11th row 5 : 1987/88 \| 4 \| 3a \| 15th row 6 : 1988/89 \| 4 \| 3a \| 4th row 7 : 1989/90 \| 4 \| 3a \| 9th row 8 : 1990/91 \| 4 \| 3a \| 9th row 9 : 1991/92 \| 4 \| 3a \| 5th row 10 : 1992/93 \| 4 \| 3a \| 17th row 11 : 1993/94 \| 4 \| 3a \| 7th row 12 : 1994/95 \| 4 \| 3a \| 4th row 13 : 1995/96 \| 4 \| 3a \| 1st row 14 : 1996/97 \| 3 \| 2ab \| 19th row 15 : 1997/98 \| 4 \| 3a \| 2nd ] Execute this SQL based on the above table: select sum ( tier )	60.0
[ header: year \| film \| role \| language row 1 : 2004 \| 7g rainbow colony \| kadhir \| tamil row 2 : 2005 \| sukran \| ravi shankar \| tamil row 3 : 2005 \| ponniyin selvan \| venu \| tamil row 4 : 2006 \| kedi \| raghu \| tamil row 5 : 2008 \| brahmanandam drama company \| ravi \| telugu row 6 : 2008 \| netru indru naal \| vetri \| tamil row 7 : 2008 \| ninna nedu rep \| vijay \| telugu row 8 : 2009 \| kadhalna summa \| vetrivel \| tamil row 9 : 2011 \| aaranya kaandam \| sappai \| tamil ] Execute this SQL based on the above table: select role where role != 'vetrivel' and language = ( select language where role = 'vetrivel' )	kadhir, ravi shankar, venu, raghu, vetri, sappai
[ header: rank \| country/territory \| miss supranational \| 1st runner-up \| 2nd runner-up \| 3rd runner-up \| 4th runner-up \| semifinalists \| total row 1 : 2 \| poland \| 1 \| 0 \| 1 \| 0 \| 0 \| 3 \| 5 row 2 : 3 \| philippines \| 1 \| 0 \| 0 \| 1 \| 0 \| 0 \| 2 row 3 : 4 \| panama \| 1 \| 0 \| 0 \| 0 \| 0 \| 2 \| 3 row 4 : 5 \| ukraine \| 1 \| 0 \| 0 \| 0 \| 0 \| 2 \| 3 row 5 : 7 \| thailand \| 0 \| 1 \| 0 \| 0 \| 1 \| 1 \| 3 row 6 : 8 \| mexico \| 0 \| 1 \| 0 \| 0 \| 0 \| 0 \| 1 row 7 : 9 \| puerto rico \| 0 \| 0 \| 1 \| 0 \| 0 \| 2 \| 3 row 8 : 13 \| peru \| 0 \| 0 \| 0 \| 1 \| 0 \| 1 \| 2 row 9 : 15 \| indonesia \| 0 \| 0 \| 0 \| 1 \| 0 \| 0 \| 1 row 10 : 16 \| england \| 0 \| 0 \| 0 \| 0 \| 1 \| 1 \| 2 row 11 : 17 \| united states \| 0 \| 0 \| 0 \| 0 \| 1 \| 0 \| 1 row 12 : 17 \| u.s. virgin islands \| 0 \| 0 \| 0 \| 0 \| 1 \| 0 \| 1 row 13 : 20 \| brazil \| 0 \| 0 \| 0 \| 0 \| 0 \| 4 \| 4 row 14 : 21 \| canada \| 0 \| 0 \| 0 \| 0 \| 0 \| 2 \| 2 row 15 : 21 \| dominican republic \| 0 \| 0 \| 0 \| 0 \| 0 \| 2 \| 2 row 16 : 21 \| france \| 0 \| 0 \| 0 \| 0 \| 0 \| 2 \| 2 row 17 : 21 \| greece \| 0 \| 0 \| 0 \| 0 \| 0 \| 2 \| 2 row 18 : 21 \| iceland \| 0 \| 0 \| 0 \| 0 \| 0 \| 2 \| 2 row 19 : 21 \| latvia \| 0 \| 0 \| 0 \| 0 \| 0 \| 2 \| 2 row 20 : 32 \| australia \| 0 \| 0 \| 0 \| 0 \| 0 \| 1 \| 1 row 21 : 32 \| bahamas \| 0 \| 0 \| 0 \| 0 \| 0 \| 1 \| 1 row 22 : 32 \| belgium \| 0 \| 0 \| 0 \| 0 \| 0 \| 1 \| 1 row 23 : 32 \| bosnia and herzegovin \| 0 \| 0 \| 0 \| 0 \| 0 \| 1 \| 1 row 24 : 32 \| denmark \| 0 \| 0 \| 0 \| 0 \| 0 \| 1 \| 1 row 25 : 32 \| french polynesia \| 0 \| 0 \| 0 \| 0 \| 0 \| 1 \| 1 row 26 : 32 \| hungary \| 0 \| 0 \| 0 \| 0 \| 0 \| 1 \| 1 row 27 : 32 \| korea \| 0 \| 0 \| 0 \| 0 \| 0 \| 1 \| 1 row 28 : 32 \| luxembourg \| 0 \| 0 \| 0 \| 0 \| 0 \| 1 \| 1 row 29 : 32 \| romania \| 0 \| 0 \| 0 \| 0 \| 0 \| 1 \| 1 row 30 : 32 \| spain \| 0 \| 0 \| 0 \| 0 \| 0 \| 1 \| 1 row 31 : 32 \| chinese taipei \| 0 \| 0 \| 0 \| 0 \| 0 \| 1 \| 1 ] Execute this SQL based on the above table: select count ( country/territory ) where miss supranational >= 4	0
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 1998 \| turin marathon \| turin, italy \| 3rd \| marathon \| 2:12:59 row 2 : 2003 \| lisbon marathon \| lisbon, portugal \| 1st \| marathon \| 2:15:31 row 3 : 2004 \| vienna marathon \| vienna, austria \| 3rd \| marathon \| 2:11:24 row 4 : 2004 \| berlin marathon \| berlin, germany \| 5th \| marathon \| 2:09:08 row 5 : 2005 \| world championships \| helsinki, finland \| 18th \| marathon \| 2:16:33 row 6 : 2006 \| paris marathon \| paris, france \| 4th \| marathon \| 2:08:55 row 7 : 2006 \| lisbon marathon \| lisbon, portugal \| 1st \| marathon \| 2:21:08 row 8 : 2007 \| world championships \| osaka, japan \| None \| marathon \| dns ] Execute this SQL based on the above table: select count ( * ) where event = 'marathon'	8
[ header: outcome \| no. \| date \| championship \| surface \| opponent in the final \| score in the final row 1 : winner \| 1 \| 20 july 1981 \| bastad, sweden \| clay \| anders jarryd \| 6-2, 6-3 row 2 : runner-up \| 1 \| 21 september 1981 \| bordeaux, france \| clay \| andres gomez \| 6-7, 6-7, 1-6 row 3 : winner \| 2 \| 10 june 1985 \| bologna, italy \| clay \| claudio panatta \| 6-2, 6-0 row 4 : winner \| 3 \| 9 september 1985 \| palermo, italy \| clay \| joakim nystrom \| 6-2, 6-0 row 5 : winner \| 4 \| 23 september 1985 \| barcelona, spain \| clay \| mats wilander \| 0-6, 6-2, 3-6, row 6 : winner \| 5 \| 10 february 1986 \| metz, france \| indoor \| broderick dyke \| 6-4, 6-3 row 7 : runner-up \| 2 \| 28 april 1986 \| indianapolis, u.s \| clay \| andres gomez \| 4-6, 6-7(1-7) row 8 : runner-up \| 3 \| 28 july 1986 \| washington, d.c., \| clay \| karel novacek \| 1-6, 6-7(4-7) row 9 : runner-up \| 4 \| 8 september 1986 \| geneva, switzerland \| clay \| henri leconte \| 5-7, 3-6 ] Execute this SQL based on the above table: select count ( * ) where score in the final = '4-6, 6-7(1-7)'	1
[ header: season \| winner \| score \| runners-up \| venue row 1 : 2000 \| san juan jablote \| 1-0 \| defence force \| marvin lee stadium row 2 : 2001 \| w connection \| 1-0 \| caledonia aia \| manny ramjohn stadium row 3 : 2002 \| defence force \| 2-0 \| w connection \| hasely crawford stadium row 4 : 2003 \| san juan jablote \| 1-1 \| w connection \| manny ramjohn stadium row 5 : 2004 \| w connection \| 2-2 \| defence force \| manny ramjohn stadium row 6 : 2005 \| w connection \| 3-1 \| san juan jablote \| manny ramjohn stadium row 7 : 2006 \| w connection \| 3-1 \| north east stars \| manny ramjohn stadium row 8 : 2007 \| w connection \| 2-0 \| caledonia aia \| manny ramjohn stadium row 9 : 2008 \| w connection \| 2-2 \| joe public \| manny ramjohn stadium row 10 : 2009 \| defence force \| 1-0 \| joe public \| marvin lee stadium row 11 : 2010 \| joe public \| 1-1 \| defence force \| marvin lee stadium row 12 : 2011 \| caledonia aia \| 2-1 \| t&tec \| hasely crawford stadium row 13 : 2012 \| caledonia aia \| 2-1 \| defence force \| hasely crawford stadium row 14 : 2013 \| central fc \| 2-1 \| defence force \| hasely crawford stadium ] Execute this SQL based on the above table: select winner where season = ( select season where winner = 'w connection' ) + 1	defence force
[ header: rank \| player \| points \| points defending \| points won \| new points \| withdrew due to row 1 : 5 \| juan martin del potr \| 5115 \| 720 \| 0 \| 4395 \| right wrist surgery row 2 : 6 \| nikolay davydenko \| 5145 \| 360 \| 0 \| 4785 \| broken wrist row 3 : 20 \| radek stepanek \| 1705 \| 90 \| 0 \| 1615 \| fatigue row 4 : 23 \| tommy haas \| 1660 \| 180 \| 0 \| 1480 \| right hip surgery row 5 : 32 \| gilles simon \| 1395 \| 90 \| 0 \| 1305 \| right knee injury row 6 : 36 \| ivo karlovic \| 1295 \| 10 \| 0 \| 1285 \| right foot injury row 7 : 10 \| kim clijsters \| 3890 \| 0 \| 0 \| 3890 \| left foot injury ] Execute this SQL based on the above table: select player where player != 'kim clijsters' and points won = ( select points won where player = 'kim clijsters' )	juan martin del potro, nikolay davydenko, radek stepanek, tommy haas, gilles simon, ivo karlovic
[ 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 species where state = 'pennsylvania'	balsam fir
[ header: year \| film \| role \| other notes row 1 : 1985 \| king david \| tamar \| None row 2 : 1985 \| mussolini: the untold story \| gina ruberti \| (television mini-series) row 3 : 1991 \| secret friends \| helen \| None row 4 : 1992 \| vsetko co mam rad \| ann \| None row 5 : 1992 \| leon the pig farmer \| lisa \| None row 6 : 1993 \| horse opera \| sandra/marion \| None row 7 : 1996 \| silent trigger \| clegg (spotter) \| None row 8 : 1997 \| david \| michal \| (television film) row 9 : 2000 \| ted & ralph \| henrietta spain \| None row 10 : 2000 \| paranoid \| eve \| None row 11 : 2000 \| seven days to live \| claudia \| None row 12 : 2001 \| subterrain \| junkie spirit \| None row 13 : 2001 \| married/unmarried \| amanda \| None row 14 : 2003 \| sitting ducks \| christine \| None row 15 : 2005 \| zerophilia \| sydney \| None row 16 : 2007 \| permanent vacation \| kathleen bury \| None row 17 : 1982 \| into the labyrinth \| christine \| episode: phantom row 18 : 1984 \| grange hill \| trudy \| episode: 7.8 episode: 7.9 row 19 : 1989 \| only fools and horses \| carmen \| episode: the unlucky winner is row 20 : 1989 \| screen two \| greta \| episode: sitting targets row 21 : 1989 \| blackeyes \| blackeyes \| episode 1.1 episode 1.2 episode 1.3 episode row 22 : 1991 \| the storyteller \| eurydice \| episode: orpheus and eury row 23 : 1994 \| little napoleons \| liz blakemore \| episode: the big interview row 24 : 1996 \| scene \| athene nike/trainer \| episode: young jung row 25 : 1996 \| sharman \| kiki \| episode 1.1 row 26 : 1999 \| jonathan creek \| samantha \| episode: ghost's forge row 27 : 2000-2004 \| coupling \| jane christie \| 28 episodes row 28 : 2003 \| waking the dead \| frannie henning \| episode: final cut: part 1 episode: final row 29 : 2005 \| the last detective \| caroline \| episode: friends reunited row 30 : 2007 \| hotel babylon \| marina stoll \| episode: 2.2 (bbc television drama row 31 : 2007 \| jekyll \| claire jackman \| episode: 1.1 episode: 1.2 episode: row 32 : 2007 \| nearly famous \| traci reed \| episode: 1.1 episode: 1.2 episode: row 33 : 2007 \| heroes and villains \| catherine carteaux \| episode: napoleon (television row 34 : 2008 \| the wrong door \| pilot instructor/jill \| episode: njarnia episode: the row 35 : 2008-2012 \| leverage \| sophie devereaux \| 72 episodes row 36 : 2013 \| ripper street \| jemima swann \| series 2, episode 6 ] Execute this SQL based on the above table: select count ( film ) where role = 'henrietta spain'	1
[ header: drop(s) \| multiplayer map(s) \| spec ops mission(s) \| face off map(s) \| xbox 360 release date \| playstation 3 release date row 1 : 1-2 \| liberation & piazza \| None \| None \| 24 january 2012 \| 28 february 2012 row 2 : 3 \| overwatch \| None \| None \| 21 february 2012 \| 29 march 2012 row 3 : 4-6 \| black box \| black ice & negotiator \| None \| 13 march 2012 \| 12 april 2012 row 4 : 7-8 \| sanctuary & foundation \| None \| None \| 10 april 2012 \| 10 may 2012 row 5 : 9-12 \| oasis \| iron clad & kill switch \| getaway & lookout \| 15 may 2012 \| 14 june 2012 row 6 : 13-15 \| None \| arctic recon \| vortex, u-turn & intersection \| 19 june 2012 \| 19 july 2012 row 7 : 16-18 \| decommission & offshore \| vertigo \| None \| 17 july 2012 \| 16 august 2012 row 8 : 19-21 \| None \| special delivery, light 'em up \| None \| 7 august 2012 \| 6 september 2012 row 9 : 22-24 \| parish, gulch & boardwalk \| None \| None \| 5 september 2012 \| 9 october 2012 ] Execute this SQL based on the above table: select multiplayer map(s) order by drop(s) desc limit 1	parish, gulch & boardwalk
[ 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 competition order by apps. limit 1	fourth division
[ header: season \| network \| play-by-play \| color commentator(s) \| sideline reporter(s) row 1 : 1969 \| cbs \| jack whitaker \| frank gifford and don per \| None row 2 : 1968 \| cbs \| ray scott \| paul christman \| frank glieber row 3 : 1967 \| cbs \| frank glieber \| frank gifford \| None row 4 : 1966 \| cbs \| chuck thompson \| tom brookshier \| None row 5 : 1965 \| cbs \| frank glieber (first half \| pat summerall \| None row 6 : 1964 \| cbs \| jack drees (first half \| frank gifford \| None row 7 : 1963 \| cbs \| ray scott (first half) and \| frank gifford \| None row 8 : 1962 \| cbs \| chris schenkel (first half \| warren lahr \| None row 9 : 1961 \| cbs \| chris schenkel (first half \| johnny lujack \| None ] Execute this SQL based on the above table: select network where network in ( 'cbs' , 'cbs' ) order by season desc limit 1	cbs
[ header: party \| previous council \| staying councillors \| seats up for election \| election result \| new council row 1 : conservatives \| 29 \| 19 \| 10 \| 8 \| 28 row 2 : labour \| 19 \| 13 \| 6 \| 10 \| 23 row 3 : socialist alternative \| 3 \| 2 \| 1 \| 0 \| 2 row 4 : liberal democrats \| 2 \| 1 \| 1 \| 0 \| 1 row 5 : british national party \| 0 \| 0 \| 0 \| 0 \| 0 row 6 : green \| 0 \| 0 \| 0 \| 0 \| 0 row 7 : independent \| 0 \| 0 \| 0 \| 0 \| 0 row 8 : respect \| 0 \| 0 \| 0 \| 0 \| 0 row 9 : total \| 54 \| 36 \| 18 \| 18 \| 54 ] Execute this SQL based on the above table: select party where party = 'total'	total
[ header: member \| party \| term row 1 : john ryan \| none \| 1859-1864 row 2 : james martin \| none \| 1864-1869 row 3 : james watson \| none \| 1869-1880 row 4 : james carroll \| independent protectionist \| 1894-1895 row 5 : james carroll \| protectionist \| 1895-1901 row 6 : james carroll \| progressive \| 1901-1904 row 7 : andrew kelly \| labor \| 1904-1913 row 8 : thomas brown \| labor \| 1913-1917 row 9 : ernest buttenshaw \| nationalist \| 1917-1920 row 10 : ernest buttenshaw \| country \| 1927-1938 row 11 : griffith evans \| country \| 1938-1943 row 12 : john chanter \| labor \| 1943-1947 row 13 : robert medcalf \| country \| 1947-1950 row 14 : ian armstrong \| national \| 1981-2007 ] Execute this SQL based on the above table: select count ( * ) where party = 'country' and party = 'labor'	0
[ header: value \| diameter \| composition \| 1979-1989 obverse \| 1979-1989 reverse row 1 : 1 cent \| 18 mm \| bronze \| state arms \| frigate birds row 2 : 2 cents \| 21 mm \| bronze \| state arms \| b'abal plant row 3 : 5 cents \| 19 mm \| cupronickel \| state arms \| tokay gecko row 4 : 10 cents \| 24 mm \| cupronickel \| state arms \| breadfruit row 5 : 20 cents \| 29 mm \| cupronickel \| state arms \| dolphins row 6 : 50 cents \| 32 mm \| cupronickel \| state arms \| panda nut plant row 7 : 1 dollar \| 30 mm \| cupronickel \| state arms \| outrigger canoe row 8 : 2 dollars \| 29 mm \| nickel-brass \| state arms \| meeting lodge/"tenth anniversary of independence" ] Execute this SQL based on the above table: select value where composition = 'cupronickel'	0.05, 0.1, 0.2, 0.5, 1.0
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 1994 \| european championships \| helsinki, finland \| 48th \| marathon \| 2:22:49 row 2 : 1995 \| world championships \| gothenburg, sweden \| 49th \| marathon \| 2:33:42 row 3 : 1996 \| summer olympics \| atlanta, georgia \| 58th \| marathon \| 2:23:14 row 4 : 1997 \| world championships \| athens, greece \| 48th \| marathon \| 2:29:10 row 5 : 1998 \| world cross country championships \| marrakech, morocco \| 85th \| long race \| None row 6 : 1998 \| world half marathon championships \| uster, switzerland \| 66th \| half marathon \| 1:05:00 row 7 : 1998 \| european championships \| budapest, hungary \| 29th \| marathon \| 2:19:38 row 8 : 1999 \| world half marathon championships \| palermo, italy \| 55th \| half marathon \| 1:05:45 row 9 : 1999 \| frankfurt marathon \| frankfurt, germany \| 1st \| marathon \| 2:12:37 row 10 : 1999 \| helsinki marathon \| helsinki, finland \| 1st \| marathon \| 2:19:18 row 11 : 2000 \| summer olympics \| sydney, australia \| 35th \| marathon \| 2:19:41 row 12 : 2001 \| frankfurt marathon \| frankfurt, germany \| 1st \| marathon \| 2:11:09 row 13 : 2002 \| paris marathon \| paris, france \| 2nd \| marathon \| 2:08:53 row 14 : 2002 \| european championships \| munich, germany \| 2nd \| marathon \| 2:13:18 row 15 : 2002 \| fukuoka marathon \| fukuoka, japan \| 4th \| marathon \| 2:10:14 row 16 : 2003 \| joongang seoul marathon \| seoul, south korea \| 1st \| marathon \| 2:09:15 row 17 : 2004 \| summer olympics \| athens, greece \| 26th \| marathon \| 2:18:09 row 18 : 2004 \| joongang seoul marathon \| seoul, south korea \| 1st \| marathon \| 2:09:34 row 19 : 2005 \| joongang seoul marathon \| seoul, south korea \| 4th \| marathon \| 2:12:12 row 20 : 2006 \| paris marathon \| paris, france \| 12th \| marathon \| 2:11:25 row 21 : 2007 \| world championships \| osaka, japan \| None \| marathon \| dnf row 22 : 2007 \| beppu-oita marathon \| beppu-oita, japan \| 8th \| marathon \| 2:14:49 row 23 : 2008 \| summer olympics \| beijing, china \| 75th \| marathon \| 2:39:01 ] Execute this SQL based on the above table: select count ( * ) where year > 1	23
[ 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 order by average receipt per visitor 2009 (usd/turista) desc limit 1	panama
[ header: \| district \| headquarters \| population (2011) \| males \| females \| percentage decadal growth 2001-2011 \| sex ratio \| density (persons per km2) \| child population 0-6 years \| child sex ratio \| literacy rate row 1 : 1 \| angul \| angul \| 1271703 \| 654898 \| 616805 \| 11.55 \| 942 \| 199 \| 145690 \| 884 \| 78.96 row 2 : 3 \| balasore \| baleswar \| 2317419 \| 1184371 \| 1133048 \| 14.47 \| 957 \| 609 \| 274432 \| 941 \| 80.66 row 3 : 4 \| bargarh \| bargarh \| 1478833 \| 748332 \| 730501 \| 9.84 \| 976 \| 253 \| 156185 \| 946 \| 75.16 row 4 : 5 \| bhadrak \| bhadrak \| 1506522 \| 760591 \| 745931 \| 12.95 \| 981 \| 601 \| 176793 \| 931 \| 83.25 row 5 : 7 \| cuttack \| cuttack \| 2618708 \| 1339153 \| 1279555 \| 11.87 \| 955 \| 666 \| 251152 \| 913 \| 84.2 row 6 : 9 \| dhenkanal \| dhenkanal \| 1192948 \| 612597 \| 580351 \| 11.82 \| 947 \| 268 \| 132647 \| 870 \| 79.41 row 7 : 11 \| ganjam \| chhatrapur \| 3520151 \| 1777324 \| 1742827 \| 11.37 \| 981 \| 429 \| 397920 \| 899 \| 71.88 row 8 : 12 \| jagatsinghpur \| jagatsinghpur \| 1136604 \| 577699 \| 558905 \| 7.44 \| 967 \| 681 \| 103517 \| 929 \| 87.13 row 9 : 13 \| jajpur \| jajpur \| 1826275 \| 926058 \| 900217 \| 12.43 \| 972 \| 630 \| 207310 \| 921 \| 80.44 row 10 : 14 \| jharsuguda \| jharsuguda \| 579499 \| 297014 \| 282485 \| 12.56 \| 951 \| 274 \| 61823 \| 938 \| 78.36 row 11 : 16 \| kandhamal \| phulbani \| 731952 \| 359401 \| 372551 \| 12.92 \| 1037 \| 91 \| 106379 \| 960 \| 65.12 row 12 : 19 \| khordha \| khordha \| 2246341 \| 1166949 \| 1079392 \| 19.65 \| 925 \| 799 \| 222275 \| 910 \| 87.51 row 13 : 21 \| malkangiri \| malkangiri \| 612727 \| 303913 \| 308814 \| 21.53 \| 1016 \| 106 \| 105636 \| 979 \| 49.49 row 14 : 23 \| nabarangapur \| nabarangpur \| 1218762 \| 604046 \| 614716 \| 18.81 \| 1018 \| 230 \| 201901 \| 988 \| 48.2 row 15 : 26 \| puri \| puri \| 1697983 \| 865209 \| 832774 \| 13 \| 963 \| 488 \| 164388 \| 924 \| 85.37 row 16 : 28 \| sambalpur \| sambalpur \| 1044410 \| 529424 \| 514986 \| 12.24 \| 973 \| 158 \| 112946 \| 931 \| 76.91 row 17 : 30 \| sundergarh \| sundergarh \| 2080664 \| 1055723 \| 1024941 \| 13.66 \| 971 \| 214 \| 249020 \| 937 \| 74.13 ] Execute this SQL based on the above table: select percentage decadal growth 2001-2011 order by population (2011) asc limit 1	12.56
[ header: date \| name of ship \| nationality \| tonnage \| fate row 1 : 5 june 1940 \| ss stancor \| united kingdom \| 798 \| sunk at 58°48′n row 2 : 7 june 1940 \| ss frances massey \| united kingdom \| 4212 \| sunk at 55°33′n 08 row 3 : 7 june 1940 \| ss eros \| united kingdom \| 5888 \| damaged at 55°33′n 08°26 row 4 : 11 june 1940 \| ss violando n go \| greece \| 2375 \| sunk at 44°04′n 12 row 5 : 19 june 1940 \| mv tudor \| norway \| 6607 \| sunk at 45°10′n 11 row 6 : 19 june 1940 \| ss baron loudoun \| united kingdom \| 3164 \| sunk at 45°00′n 11 row 7 : 19 june 1940 \| ss british monarch \| united kingdom \| 5661 \| sunk at 45°00′n 11 row 8 : 20 june 1940 \| mv moerdrecht \| netherlands \| 7493 \| sunk at 43°34′n 14 row 9 : 16 august 1940 \| ss hedrun \| sweden \| 2325 \| sunk at 57°10′n row 10 : 19 august 1940 \| ss ville de gand \| belgium \| 7590 \| sunk at 55°28′n 15 row 11 : 24 august 1940 \| ss la brea \| united kingdom \| 6666 \| sunk at 57°24′n row 12 : 25 august 1940 \| ss empire merlin \| united kingdom \| 5763 \| sunk at 58°30′n row 13 : 25 august 1940 \| mv athelcrest \| united kingdom \| 6825 \| sunk at 58°24′n ] Execute this SQL based on the above table: select nationality order by tonnage limit 1	united kingdom
[ header: date \| round \| opponents \| h / a \| result f-a \| scorers \| attendance row 1 : 19 september 1984 \| round 1 first leg \| raba eto gyor \| h \| 3-0 \| robson, muhren, hughes \| 33119 row 2 : 3 october 1984 \| round 1 second leg \| raba eto gyor \| a \| 2-2 \| brazil, muhren (pen) \| 26000 row 3 : 24 october 1984 \| round 2 first leg \| psv eindhoven \| a \| 0-0 \| None \| 27500 row 4 : 7 november 1984 \| round 2 second leg \| psv eindhoven \| h \| 1-0 \| strachan (pen) \| 39281 row 5 : 28 november 1984 \| round 3 first leg \| dundee united \| h \| 2-2 \| strachan (pen), robson \| 48278 row 6 : 12 december 1984 \| round 3 second leg \| dundee united \| a \| 3-2 \| hughes, mcginn \| 21821 row 7 : 6 march 1985 \| quarter-final first leg \| videoton \| h \| 1-0 \| stapleton \| 35432 row 8 : 20 march 1985 \| quarter-final second leg \| videoton \| a \| 0-1 (4-5 p) \| None \| 25000 ] Execute this SQL based on the above table: select count ( distinct ( attendance ) ) where h / a = 'a'	4
[ header: # \| name \| position \| birthday \| size \| weight \| last team row 1 : 4 \| tom lipke \| guard/ forward \| 12.04.1986 \| 1,96 m \| 98 kg \| bremen roosters row 2 : 5 \| muamer taletovic \| guard \| 02.04.1976 \| 1,87 m \| 90 kg \| hertener lowen row 3 : 6 \| david watson \| guard \| 16.09.1988 \| 1,84 m \| 78 kg \| ssc karlsru row 4 : 7 \| brandon gary \| forward \| 26.01.1983 \| 2,03 m \| 100 kg \| iserlohn kangaroos row 5 : 8 \| theodis tarver \| center \| 09.07.1984 \| 2,06 m \| 110 kg \| bremen roosters row 6 : 9 \| stefan svitek \| forward \| 25.05.1977 \| 2,03 m \| 108 kg \| chemosvit svit row 7 : 10 \| michael baumer \| guard \| 08.08.1990 \| 1,80 m \| 68 kg \| bg karlsruhe row 8 : 11 \| clifford crawford \| guard \| 07.01.1981 \| 1,92 m \| 98 kg \| bremen roosters row 9 : 12 \| max roser \| guard/ forward \| 31.07.1988 \| 1,94 m \| 87 kg \| sg bad durkheim/spe row 10 : 13 \| edward seward \| center \| 20.10.1978 \| 2,06 m \| 110 kg \| aschersleben tiger row 11 : 14 \| julius parrisius \| guard \| 01.08.1985 \| 1,85 m \| 85 kg \| union shops rastatt row 12 : 15 \| leo niebuhr \| forward \| 04.08.1986 \| 2,06 m \| 88 kg \| sg braunschweig row 13 : 16 \| alexander rueck \| guard \| 24.03.1984 \| 1,89 m \| 85 kg \| union shops rastatt row 14 : 17 \| matthias hurst \| forward/ center \| 06.10.1989 \| 2,04 m \| 86 kg \| bg karlsruhe ] Execute this SQL based on the above table: select count ( last team ) where id > ( select id where last team = '4' )	0
[ header: pos \| no \| driver \| constructor \| laps \| time/retired \| grid row 1 : 1 \| 12 \| clay regazzoni \| ferrari \| 60 \| 1:01:25.34 \| 3 row 2 : 2 \| 4 \| patrick depailler \| tyrrell-ford \| 60 \| + 0:08.35 \| 5 row 3 : 3 \| 2 \| jochen mass \| mclaren-ford \| 60 \| + 0:15.44 \| 4 row 4 : 4 \| 5 \| ronnie peterson \| lotus-ford \| 60 \| + 0:40.14 \| 10 row 5 : 5 \| 18 \| john watson \| surtees-ford \| 60 \| + 0:45.55 \| 6 row 6 : 6 \| 8 \| carlos pace \| brabham-ford \| 60 \| + 0:45.90 \| 7 row 7 : 7 \| 16 \| tom pryce \| shadow-ford \| 60 \| + 0:46.66 \| 8 row 8 : 8 \| 24 \| james hunt \| hesketh-ford \| 59 \| + 1 lap \| 11 row 9 : 9 \| 31 \| chris amon \| ensign-ford \| 59 \| + 1 lap \| 9 row 10 : 10 \| 21 \| jacques laffite \| williams-ford \| 59 \| + 1 lap \| 13 row 11 : 11 \| 9 \| vittorio brambilla \| march-ford \| 58 \| + 2 laps \| 12 row 12 : 12 \| 22 \| rolf stommelen \| hill-ford \| 58 \| + 2 laps \| 14 row 13 : 13 \| 35 \| tony trimmer \| maki-ford \| 54 \| + 6 laps \| 16 row 14 : nc \| 20 \| jo vonlanthen \| williams-ford \| 51 \| + 9 laps \| 15 row 15 : ret \| 17 \| jean-pierre jarier \| shadow-ford \| 33 \| transmission \| 1 row 16 : ret \| 1 \| emerson fittipaldi \| mclaren-ford \| 6 \| clutch \| 2 ] Execute this SQL based on the above table: select laps group by laps having count ( driver ) > ( select count ( driver ) where no = 54 )	33, 51, 54, 58, 59, 6, 60
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 6 september 1994 \| bazaly, ostrava \| malta \| 6-1 \| 6-1 \| euro 1996 qualifying row 2 : 2 \| 8 march 1995 \| stadion za luzan \| finland \| 1-0 \| 4-1 \| friendly row 3 : 3 \| 8 march 1995 \| stadion za luzan \| finland \| 2-0 \| 4-1 \| friendly row 4 : 4 \| 29 march 1995 \| bazaly, ostrava \| belarus \| 2-0 \| 4-2 \| euro 1996 qualifying row 5 : 5 \| 29 march 1995 \| bazaly, ostrava \| belarus \| 3-1 \| 4-2 \| euro 1996 qualifying row 6 : 6 \| 26 april 1995 \| letna stadium, prague \| netherlands \| 3-1 \| 3-1 \| euro 1996 qualifying row 7 : 7 \| 7 october 1995 \| dinamo stadium, minsk \| belarus \| 2-0 \| 2-0 \| euro 1996 qualifying row 8 : 8 \| 15 november 1995 \| letna stadium, prague \| luxembourg \| 3-0 \| 3-0 \| euro 1996 qualifying row 9 : 9 \| 30 june 1996 \| wembley stadium, london \| germany \| 1-0 \| 1-2 \| euro 1996 row 10 : 10 \| 18 september 1996 \| na stinadle \| malta \| 1-0 \| 6-0 \| 1998 world cup qualification row 11 : 11 \| 18 september 1996 \| na stinadle \| malta \| 3-0 \| 6-0 \| 1998 world cup qualification row 12 : 12 \| 26 february 1997 \| zimni stadion, pod \| belarus \| 4-1 \| 4-1 \| friendly row 13 : 13 \| 14 october 1998 \| na stinadle \| estonia \| 2-0 \| 4-1 \| euro 2000 qualifying row 14 : 14 \| 14 october 1998 \| na stinadle \| estonia \| 3-0 \| 4-1 \| euro 2000 qualifying row 15 : 15 \| 27 march 1999 \| na stinadle \| lithuania \| 2-0 \| 2-0 \| euro 2000 qualifying row 16 : 16 \| 5 june 1999 \| kadrioru stadium, tall \| estonia \| 1-0 \| 2-0 \| euro 2000 qualifying row 17 : 17 \| 8 september 1999 \| na stinadle \| bosnia and herzegovin \| 2-0 \| 3-0 \| euro 2000 qualifying row 18 : 18 \| 3 june 2000 \| frankenstadion, nurember \| germany \| 2-2 \| 2-3 \| friendly ] Execute this SQL based on the above table: select count ( competition ) where opponent not null	18
[ header: year \| single \| charts fr \| charts bel wa \| charts swi \| certification \| album row 1 : 1997 \| "sur la route" \| 14 \| None \| None \| \| la derniere annee row 2 : 2000 \| "j'en reve encore" \| 7 \| 4 \| None \| \| marcher dans le sable row 3 : 2001 \| "une seule vie (marcher dans le \| 30 \| None \| None \| \| marcher dans le sable row 4 : 2001 \| "tomber" \| 35 \| None \| None \| \| marcher dans le sable row 5 : 2004 \| "elle s'ennuie" \| 35 \| None \| 73 \| \| None row 6 : 2004 \| "elle danse seule" \| 22 \| None \| 46 \| \| un homme sans racines row 7 : 2011 \| "l'etranger" \| 59 \| None \| None \| \| sur ma route row 8 : 2013 \| "je me souviens de tout" \| 130 \| None \| None \| \| da palmas ] Execute this SQL based on the above table: select min ( charts bel wa )	4.0
[ header: name \| railway \| series \| maker \| dates \| drive \| wheel arrangement \| weight \| power \| notes row 1 : re 465 \| bls, switzerland \| re 465 001-465 00 \| slm, abb \| 1994-97 \| electric \| bo-bo \| 84 t \| 9,520 horsepower (7,099 kw \| most powerful locomotive with only four axles, similar row 2 : prr gg1 \| pennsylvania rail road ( \| 4800-4938, 900-929 \| altoona works, general electric \| 1934-43 \| electric \| 2-c+c-2 (4-6-6-4) \| 208.9 to 216.4 \| 4,629 horsepower (3,452 k \| most scrapped; the prototype and 15 production locomotive row 3 : allegheny \| chesapeake and ohi \| 1600-1659 (c&o), 900 \| lima locomotive works \| 1941-48 \| steam \| 2-6-6-6 \| 544 t \| 7,500 horsepower (5,593 kw \| two on static display row 4 : 060-ea softronic phoen \| romanian railways (cfr) \| 001, 2001-2004 \| softronic craiova \| 2009-present \| electric \| co'co' \| 120 t \| 8,851 horsepower (6,600 kw \| most powerful locomotive with highest continuous tractive effort row 5 : jr freight class ef200 \| jr freight \| None \| hitachi ltd \| 1990- \| electric \| bo'bo'bo' \| 100.8 t \| 8,046 horsepower (6,000 kw) \| most powerful single-frame narrow-gauge locomotive row 6 : china railways hxn5 \| china railways \| hxn50001-hxn \| ge, csr qishu \| 2008- \| diesel-electric \| co'co' \| 150 t \| 6,250 horsepower (4,661 kw \| most powerful diesel-electric locomotive in active production row 7 : china railways hxd1b \| china railways \| hxd1b0001-h \| csr zhuzhou electric \| 2009- \| electric \| co'co' \| 150 t \| 12,874 horsepower (9,600 kw \| most powerful single-frame locomotive in series production row 8 : china railways hxd2b \| china railways \| hxd2b0001-h \| datong electric locomotive, alstom \| 2009- \| electric \| co'co' \| 150 t \| 12,874 horsepower (9,600 kw \| most powerful single-frame locomotive in series production row 9 : china railways hxd1c \| china railways \| hxd1c0001-h \| csr zhuzhou electric \| 2009- \| electric \| co'co' \| 150 t \| 9,655 horsepower (7,200 kw \| None ] Execute this SQL based on the above table: select name where weight < ( select weight where name = 'allegheny' ) order by weight desc limit 1	prr gg1
[ header: year \| political rights \| civil liberties \| status \| president row 1 : 1972 \| 6 \| 6 \| not free \| hamani diori row 2 : 1973 \| 6 \| 6 \| not free \| hamani diori row 3 : 1974 \| 7 \| 6 \| not free \| hamani diori row 4 : 1975 \| 7 \| 6 \| not free \| seyni kountche row 5 : 1976 \| 7 \| 6 \| not free \| seyni kountche row 6 : 1977 \| 7 \| 6 \| not free \| seyni kountche row 7 : 1978 \| 7 \| 6 \| not free \| seyni kountche row 8 : 1979 \| 7 \| 6 \| not free \| seyni kountche row 9 : 1980 \| 7 \| 6 \| not free \| seyni kountche row 10 : 1981 \| 7 \| 6 \| not free \| seyni kountche row 11 : 1982 \| 7 \| 6 \| not free \| seyni kountche row 12 : 1983 \| 7 \| 6 \| not free \| seyni kountche row 13 : 1984 \| 7 \| 6 \| not free \| seyni kountche row 14 : 1985 \| 7 \| 6 \| not free \| seyni kountche row 15 : 1986 \| 7 \| 6 \| not free \| seyni kountche row 16 : 1987 \| 7 \| 6 \| not free \| seyni kountche row 17 : 1988 \| 6 \| 6 \| not free \| ali saibou row 18 : 1989 \| 7 \| 6 \| not free \| ali saibou row 19 : 1990 \| 6 \| 5 \| not free \| ali saibou row 20 : 1991 \| 6 \| 5 \| partly free \| ali saibou row 21 : 1992 \| 5 \| 4 \| partly free \| ali saibou row 22 : 1993 \| 3 \| 4 \| partly free \| ali saibou row 23 : 1994 \| 3 \| 5 \| partly free \| mahamane ousmane row 24 : 1995 \| 3 \| 5 \| partly free \| mahamane ousmane row 25 : 1996 \| 7 \| 5 \| not free \| mahamane ousmane row 26 : 1997 \| 7 \| 5 \| not free \| ibrahim bare mainass row 27 : 1998 \| 7 \| 5 \| not free \| ibrahim bare mainass row 28 : 1999 \| 5 \| 5 \| partly free \| ibrahim bare mainass row 29 : 2000 \| 4 \| 4 \| partly free \| mamadou tandja row 30 : 2001 \| 4 \| 4 \| partly free \| mamadou tandja row 31 : 2002 \| 4 \| 4 \| partly free \| mamadou tandja row 32 : 2003 \| 4 \| 4 \| partly free \| mamadou tandja row 33 : 2004 \| 3 \| 3 \| partly free \| mamadou tandja row 34 : 2005 \| 3 \| 3 \| partly free \| mamadou tandja row 35 : 2006 \| 3 \| 3 \| partly free \| mamadou tandja row 36 : 2007 \| 3 \| 4 \| partly free \| mamadou tandja row 37 : 2008 \| 3 \| 4 \| partly free \| mamadou tandja row 38 : 2009 \| 5 \| 4 \| partly free \| mamadou tandja row 39 : 2010 \| 5 \| 4 \| partly free \| mamadou tandja row 40 : 2011 \| 3 \| 4 \| partly free \| salou djibo ] Execute this SQL based on the above table: select status order by year desc limit 1	partly free
[ header: season \| level \| division \| section \| administration \| position \| movements row 1 : 1999 \| tier 2 \| ykkonen (first division) \| south group \| finnish fa (suo \| 9th \| relegation group - relegate row 2 : 2000 \| tier 3 \| kakkonen (second division) \| south group \| finnish fa (suo \| 2nd \| play-offs - promoted row 3 : 2001 \| tier 2 \| ykkonen (first division) \| south group \| finnish fa (suo \| 9th \| relegated row 4 : 2002 \| tier 3 \| kakkonen (second division) \| south group \| finnish fa (suo \| 2nd \| None row 5 : 2003 \| tier 3 \| kakkonen (second division) \| south group \| finnish fa (suo \| 11th \| relegated row 6 : 2004 \| tier 4 \| kolmonen (third division) \| section 3 \| helsinki & u \| 8th \| None row 7 : 2005 \| tier 4 \| kolmonen (third division) \| section 3 \| helsinki & u \| 6th \| None row 8 : 2006 \| tier 4 \| kolmonen (third division) \| section 2 \| helsinki & u \| 7th \| None row 9 : 2007 \| tier 4 \| kolmonen (third division) \| section 3 \| helsinki & u \| 2nd \| None row 10 : 2008 \| tier 4 \| kolmonen (third division) \| section 3 \| helsinki & u \| 2nd \| None row 11 : 2009 \| tier 4 \| kolmonen (third division) \| section 2 \| helsinki & u \| 1st \| promoted row 12 : 2010 \| tier 3 \| kakkonen (second division) \| group a \| finnish fa (suo \| None \| None ] Execute this SQL based on the above table: select division order by administration asc limit 1	ykkonen (first division)
[ header: rank \| name \| nation \| time \| speed \| note row 1 : 1 \| vilija sereikaite \| lithuania \| 3:33.766 \| 50.522 \| q row 2 : 2 \| ellen van dijk \| netherlands \| 3:35.951 \| 50.011 \| q row 3 : 3 \| joanna rowsell \| united kingdom \| 3:37.641 \| 49.623 \| q row 4 : 4 \| svitlana halyuk \| ukraine \| 3:42.498 \| 48.539 \| q row 5 : 5 \| aksana papko \| belarus \| 3:43.935 \| 48.288 \| None row 6 : 6 \| oxana kozonchuk \| russia \| 3:45.132 \| 47.971 \| None row 7 : 7 \| jarmila machacova \| czech republic \| 3:47.209 \| 47.533 \| None row 8 : 8 \| stephanie pohl \| germany \| 3:47.483 \| 47.476 \| None row 9 : 9 \| lisa brennauer \| germany \| 3:48.017 \| 47.364 \| None row 10 : 10 \| edyta jasinska \| poland \| 3:48.628 \| 47.238 \| None row 11 : 11 \| audrey cordon \| france \| 3:49.376 \| 47.084 \| None row 12 : 12 \| alena amialyusik \| belarus \| 3:49.711 \| 47.015 \| None row 13 : 13 \| hannah mayho \| united kingdom \| 3:50.176 \| 46.92 \| None row 14 : 14 \| viktoriya kondel \| russia \| 3:51.349 \| 46.682 \| None row 15 : 15 \| oksana lyesnik \| ukraine \| 3:51.543 \| 46.643 \| None row 16 : 16 \| elise van hage \| netherlands \| 3:55.349 \| 45.889 \| None row 17 : 17 \| dominika maczka \| poland \| 4:01.597 \| 44.702 \| None ] Execute this SQL based on the above table: select name order by rank desc limit 1	dominika maczka
[ header: year \| film \| publisher \| director \| distributor \| worldwide gross \| notes row 1 : 1980 \| superman ii \| dc comics \| richard lester \| warner bros \| $108,185,706 \| sequel to 1978's superman row 2 : 1987 \| superman iv: the quest for peace \| dc comics \| sidney j. furie \| warner bros \| $15,681,020 \| sequel to 1983's superman ii row 3 : 1989 \| the return of swamp thing \| dc comics \| jim wynorski \| millimeter films \| $192,816 \| sequel to 1982's swamp thing row 4 : 1989 \| the punisher \| marvel comics \| mark goldblatt \| artisan entertainment \| $287,434 \| direct-to-video in north america row 5 : 1991 \| teenage mutant ninja turtles i \| mirage comics \| michael pressman \| new line cinema \| $78,656,813 \| sequel to 1990's teenage mutant nin row 6 : 1991 \| the guyver \| chuang yi publishing \| steve wang \| new line cinema \| None \| None row 7 : 1991 \| the rocketeer \| pacific comics \| joe johnston \| walt disney pictures \| $62,000,000 \| None row 8 : 1993 \| the meteor man \| original \| robert townsend \| metro-goldwyn-mayer \| $8,023,147 \| None row 9 : 1994 \| the fantastic four \| marvel comics \| oley sassone \| constantin film \| unreleased \| None row 10 : 1994 \| blankman \| original \| mike binder \| columbia pictures \| $7,941,977 \| None row 11 : 1995 \| tank girl \| dark horse comics \| rachel talalay \| united artists \| $4,064,495 \| None row 12 : 1997 \| star kid \| original \| manny coto \| trimark pictures \| $7,029,025 \| None row 13 : 1998 \| blade \| marvel comics \| stephen norrington \| new line cinema \| $131,183,530 \| None row 14 : 2000 \| x-men \| marvel comics \| bryan singer \| 20th century fox \| $296,339,527 \| None row 15 : 2002 \| spider-man \| marvel comics \| sam raimi \| columbia pictures \| $821,708,551 \| None row 16 : 2003 \| x2: x-men united \| marvel comics \| bryan singer \| 20th century fox \| $407,711,549 \| sequel to 2000's x-men row 17 : 2003 \| hulk \| marvel comics \| ang lee \| universal studios \| $245,360,480 \| None row 18 : 2005 \| man-thing \| marvel comics \| brett leonard \| cinemax \| direct-to-video \| None row 19 : 2008 \| hancock \| original \| peter berg \| columbia pictures \| $624,386,746 \| comedy-drama row 20 : 2008 \| the dark knight \| dc comics \| christopher nolan \| warner bros \| $1,004,558,444 \| sequel to 2005's batman begins row 21 : 2011 \| vs \| original \| jason trost \| image entertainment \| None \| None row 22 : 2012 \| the dark knight rises \| dc comics \| christopher nolan \| warner bros \| $1,084,439,099 \| sequel to 2008's the dark knight row 23 : 2013 \| thor: the dark world \| marvel comics \| alan taylor \| walt disney studios motion pictures \| $629,972,697 \| sequel to 2011's thor row 24 : 2014 \| captain america: the winter soldier \| marvel comics \| anthony and joseph \| walt disney studios motion pictures \| None \| sequel to 2011's captain america: the ] Execute this SQL based on the above table: select count ( publisher ) where notes = 'None'	0
[ header: party \| candidate \| votes row 1 : labour \| james kinney \| 5513 row 2 : labour \| james east \| 4847 row 3 : labour \| rice sheppard \| 4644 row 4 : citizens' committee \| percy abbott \| 4233 row 5 : citizens' committee \| john bowen \| 4093 row 6 : citizens' committee \| george h. scott \| 3835 row 7 : labour \| james findlay \| 3775 row 8 : labour \| j. j. murray \| 3696 row 9 : citizens' committee \| valentine richards \| 3524 row 10 : citizens' committee \| charles grant \| 3230 row 11 : independent \| charles g. davidson \| 2982 row 12 : independent \| joseph adair \| 2356 ] Execute this SQL based on the above table: select votes where candidate = 'james kinney'	5513.0
[ header: name \| location served \| governorate \| utilization \| helipads \| runways \| shelters \| squadrons \| coordinates row 1 : tha'lah military airbase \| tha'lah \| as-suwayda \| military \| 0 \| 1 \| 16 \| 765 squadron mi-25 766 squad \| 32°42′19′′n 36°24 row 2 : hama military airport \| hama \| hama \| military \| 10 \| 1 \| 20 \| 679 squadron mig-21mf \| 35°07′05′′n 36°42 row 3 : hamdan military airbase \| abu kamal \| deir ez-zor \| military \| None \| None \| None \| None \| 34°28′55′′n 40°53 row 4 : khalkhalah military airbase \| khalkhalah \| as-suwayda \| military \| 20 \| 2 \| 30 \| 945 squadron mig-21bis 9 \| 33°03′40′′n 36°33 row 5 : kowaires military airbase \| kowaires \| aleppo \| military flight training school \| 0 \| 1 \| 11 \| 3 squadron l-39za, \| 36°11′13′′n 37°34 row 6 : marj al-sultan military \| marj al-sultan \| damascus \| military \| 35 \| 1 \| 0 \| 525 squadron mi-8 hip c \| 33°29′13′′n 36°28 row 7 : mezzeh military airport \| mezzeh \| damascus \| military \| 12 \| 1 \| 22 \| 976 squadron sa-324 \| 33°28′39′′n 36°13 row 8 : qabr al-sitt \| beit sahem \| rif dimashq \| military \| 20 \| 1 \| 0 \| 532 squadron mi-2, mi-8 \| 33°27′30′′n 36°21 row 9 : sayqal military airbase \| sayqal \| damascus \| military \| 0 \| 2 \| 44 \| 697 squadron mig-29 6 \| 33°40′56′′n 37°12 row 10 : shayrat air base \| shayrat \| homs \| military \| 0 \| 2 \| 40 \| 675 squadron mig-23m \| 34°29′24′′n 36°54 ] Execute this SQL based on the above table: select name where name in ( 'hamdan military airbase' , 'mezzeh military airport' ) order by shelters desc limit 1	mezzeh military airport
[ header: rank \| athlete \| country \| time \| notes row 1 : None \| nataliya petrusyova \| soviet union \| 1:24.10 \| or row 2 : None \| leah poulos \| united states \| 1:25.41 \| None row 3 : None \| sylvia albrecht \| east germany \| 1:26.46 \| None row 4 : 4 \| karin enke \| east germany \| 1:26.66 \| None row 5 : 5 \| beth heiden \| united states \| 1:27.01 \| None row 6 : 6 \| annie borckink \| netherlands \| 1:27.24 \| None row 7 : 7 \| sylvia burka \| canada \| 1:27.50 \| None row 8 : 8 \| ann-sofie jarnstrom \| sweden \| 1:28.10 \| None row 9 : 9 \| sylvia filipsson \| sweden \| 1:28.18 \| None row 10 : 10 \| annette carlen-karls \| sweden \| 1:28.25 \| None row 11 : 11 \| valentina lalenkova \| soviet union \| 1:28.27 \| None row 12 : 12 \| bjørg eva jen \| norway \| 1:28.55 \| None row 13 : 13 \| sijtje van der lende \| netherlands \| 1:28.72 \| None row 14 : 14 \| sarah docter \| united states \| 1:28.80 \| None row 15 : 14 \| haitske valentijn-pij \| netherlands \| 1:28.80 \| None row 16 : 16 \| erwina rys-feren \| poland \| 1:28.82 \| None row 17 : 17 \| miyoshi kato \| japan \| 1:28.97 \| None row 18 : 18 \| christa rothenburger \| east germany \| 1:29.69 \| None row 19 : 19 \| brenda webster \| canada \| 1:29.84 \| None row 20 : 20 \| irina kuleshova \| soviet union \| 1:29.94 \| None row 21 : 21 \| monika pflug \| west germany \| 1:30.13 \| None row 22 : 22 \| makiko nagaya \| japan \| 1:30.27 \| None row 23 : 23 \| sigrid smuda \| west germany \| 1:30.29 \| None row 24 : 24 \| kathy vogt \| canada \| 1:30.33 \| None row 25 : 25 \| yuko yaegashi- \| japan \| 1:30.72 \| None row 26 : 26 \| lee nam-sun \| south korea \| 1:31.30 \| None row 27 : 27 \| cao guifeng \| china \| 1:31.74 \| None row 28 : 28 \| anneli repola \| finland \| 1:31.76 \| None row 29 : 29 \| silvia brunner \| switzerland \| 1:31.79 \| None row 30 : 30 \| lee seong-ae \| south korea \| 1:32.04 \| None row 31 : 31 \| zhang li \| china \| 1:32.20 \| None row 32 : 32 \| shen zhenshu \| china \| 1:32.49 \| None row 33 : 33 \| brigitte flierl \| west germany \| 1:33.61 \| None row 34 : 34 \| kim yeong-hui \| south korea \| 1:34.17 \| None row 35 : 35 \| kim ferran \| great britain \| 1:34.19 \| None row 36 : 36 \| marzia peretti \| italy \| 1:35.66 \| None row 37 : 37 \| mandy horsepool \| great britain \| 1:36.31 \| None ] Execute this SQL based on the above table: select country order by athlete - notes desc limit 1	soviet union
[ header: place \| team \| titles \| runners-up \| winning years row 1 : 1 \| maccabi tel aviv \| 5 \| 1 \| 2007, 2010, 2011, 2012, 2013 row 2 : 2 \| hapoel jerusalem \| 2 \| 3 \| 2008, 2009 row 3 : 3 \| ironi ashkelon \| 1 \| 0 \| 2006 row 4 : 4 \| maccabi rishon lezion \| 0 \| 1 \| None row 5 : 4 \| ironi nahariya \| 0 \| 1 \| None row 6 : 4 \| hapoel holon \| 0 \| 1 \| None row 7 : 4 \| maccabi ashdod \| 0 \| 1 \| None ] Execute this SQL based on the above table: select titles where team = 'hapoel holon' and titles = 0	0
[ header: manufacturer \| model \| first flight \| max payload (t) \| cruise (km/h) \| max range (km) \| mtow row 1 : airbus \| a330 mrtt \| 2007 \| 45 \| 860 \| 14,800 \| 223 row 2 : airbus \| a400m \| 2009 \| 37 \| 780 \| 9,300 \| 141 row 3 : alenia \| c-27j spartan \| 2008 \| 11.5 \| 583 \| 5,926 \| 31.8 row 4 : antonov \| an-12 \| 1957 \| 20 \| 777 \| 5,700 \| 61 row 5 : antonov \| an-22 antei \| 1965 \| 80 \| 740 \| 5,000 \| 250 row 6 : antonov \| an-26 \| 1969 \| 5.5 \| 440 \| 2,550 \| 24 row 7 : antonov \| an-32 \| 1976 \| 6.7 \| 480 \| 2,500 \| 26.9 row 8 : antonov \| an-70 \| 1994 \| 47 \| 729 \| 6,600 \| 145 row 9 : antonov \| an-72 \| 1977 \| 7.5 \| 600 \| 4,800 \| 33 row 10 : antonov \| an-124 ruslan \| 1982 \| 150 \| 800-850 \| 5,410 \| 405 row 11 : antonov \| an-225 mriya \| 1988 \| 250 \| 800 \| 15,400 \| 600 row 12 : avic \| y-8 \| 1974 \| 20 \| 550 \| 5,616 \| 61 row 13 : avic \| y-9 \| 2008 \| 25 \| 650 \| 7,800 \| 77 row 14 : avic \| y-20 \| 2013 \| 66 \| 700 \| 7,800 \| 220 row 15 : bell/boeing \| v-22 osprey \| 1989 \| 6.8 \| 396 \| 1,627 \| 27.4 row 16 : boeing \| c-17 globemaster iii \| 1991 \| 77.5 \| 830 \| 4,482 \| 265 row 17 : casa \| c-212 aviocar \| 1971 \| 2.8 \| 315 \| 1,433 \| 8 row 18 : casa/indonesian aerospace \| cn-235 \| 1983 \| 5 \| 509 \| 5,003 \| 15.1 row 19 : casa \| c-295 \| 1998 \| 9.3 \| 481 \| 5,630 \| 23.2 row 20 : de havilland canada \| c-7 caribou \| 1958 \| 3.6 \| 348 \| 2,103 \| 14.2 row 21 : douglas \| c-47 \| 1943 \| 3 \| 360 \| 2,600 \| 10.5 row 22 : grumman \| c-2 greyhound \| 1964 \| 4.5 \| 465 \| 2,400 \| 24.7 row 23 : embraer \| kc-390 \| 2014 \| 23 \| 900 \| 6,200 \| 72 row 24 : fairchild \| c-123 provider \| 1949 \| 11 \| 367 \| 1,666 \| 27 row 25 : ilyushin \| il-76 \| 1971 \| 47 \| 900 \| 4,400 \| 210 row 26 : ilyushin \| il-112 \| 2011 \| 5.9 \| 550 \| 5,000 \| 20 row 27 : kawasaki \| c-1 \| 1970 \| 11.9 \| 657 \| 1,300 \| 45 row 28 : kawasaki \| xc-2 \| 2010 \| 37.6 \| 890 \| 6,500 \| 120 row 29 : lockheed \| c-5 galaxy \| 1968 \| 122 \| 907 \| 4,445 \| 381 row 30 : lockheed \| c-130 hercules \| 1954 \| 20 \| 540 \| 3,800 \| 70.3 row 31 : lockheed \| c-141 starlifter \| 1963 \| 45 \| 912 \| 9,880 \| 147 row 32 : pzl mielec \| m-28 skytruck \| 1993 \| 2.5 \| 270 \| 1,500 \| 8 row 33 : short brothers \| c-23 sherpa \| 1982 \| 3.2 \| 296 \| 1,239 \| 3.2 row 34 : transport allianz \| transall c-160 \| 1963 \| 16 \| 513 \| 1,850 \| 49.2 row 35 : uac and hal \| uac/hal multirole transport \| 2015 \| 22 \| 830 \| 2,500 \| 68 ] Execute this SQL based on the above table: select ( select first flight where manufacturer = 'boeing' ) < ( select first flight where manufacturer = 'kawasaki' )	0
[ 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 count ( competition ) where date = 1220	0
[ header: year \| film \| language \| actors \| music \| banner \| note row 1 : 1954 \| ratha paasam \| tamil \| t. k. shanmug \| m. k. athmana \| jupiter pictures & av \| directed by r. s. mani row 2 : 1956 \| amara deepam \| tamil \| sivaji ganesan, \| t. chalapathi r \| venus pictures \| directed by t. prakash row 3 : 1956 \| bhaai bhaai \| hindi \| ashok kumar, kishore \| None \| avm productions \| directed by m. v. rama row 4 : 1964 \| kalai kovil \| tamil \| r. muthuraman \| viswanathan ramamoorthy \| bhagyalakshm \| None row 5 : 1968 \| saathi \| hindi \| rajendra kumar, vy \| naushad \| venus pictures \| None row 6 : 1969 \| sivandha mann \| tamil \| sivaji ganesan, \| m. s. viswanathan \| chitralaya films \| None row 7 : 1971 \| duniya kya jan \| hindi \| None \| None \| None \| None row 8 : 1974 \| urimai kural \| tamil \| mgr, latha \| m. s. viswanathan \| chitrayuga films \| None row 9 : 1975 \| vaira nenjam \| tamil \| sivaji ganesan, \| m. s. viswanathan \| chitralaya films \| None row 10 : 1978 \| ilamai oonjalaa \| tamil \| kamal hassan, rajini \| ilaiyaraaja \| chithrakala pictures \| None row 11 : 1982 \| ninaivellam ni \| tamil \| karthik, jiji, \| ilaiyaraaja \| sivasakthi films \| None row 12 : 1983 \| thudikkum karangal \| tamil \| rajinikanth, radha \| s. p. balasubram \| krg films \| None row 13 : 1984 \| unnaithedi varu \| tamil \| None \| ilaiyaraaja \| None \| None row 14 : 1991 \| thanthu vitten enna \| tamil \| vikram, rohini \| ilaiyaraaja \| chitralaya films \| None ] Execute this SQL based on the above table: select music order by year desc limit 1	ilaiyaraaja
[ header: rank \| athlete \| nationality \| time \| notes row 1 : None \| valeriy borchin \| russia \| 1:19:56 \| None row 2 : None \| vladimir kanay \| russia \| 1:20:27 \| None row 3 : None \| luis fernando lopez \| colombia \| 1:20:38 \| sb row 4 : 4 \| wang zhen \| china \| 1:20:54 \| None row 5 : 5 \| stanislav emelyanov \| russia \| 1:21:11 \| None row 6 : 6 \| kim hyun-sub \| south korea \| 1:21:17 \| None row 7 : 7 \| ruslan dmytrenko \| ukraine \| 1:21:31 \| sb row 8 : 8 \| yusuke suzuki \| japan \| 1:21:39 \| None row 9 : 9 \| alex schwazer \| italy \| 1:21:50 \| sb row 10 : 10 \| erick barrondo \| guatemala \| 1:22:08 \| None row 11 : 11 \| chu yafei \| china \| 1:22:10 \| None row 12 : 12 \| sergey morozov \| russia \| 1:22:37 \| None row 13 : 14 \| matej toth \| slovakia \| 1:22:55 \| None row 14 : 15 \| eder sanchez \| mexico \| 1:23:05 \| None row 15 : 16 \| joao vieira \| portugal \| 1:23:26 \| None row 16 : 17 \| miguel angel lopez \| spain \| 1:23:41 \| None row 17 : 18 \| anton kucmin \| slovakia \| 1:23:57 \| None row 18 : 19 \| james rendon \| colombia \| 1:24:08 \| sb row 19 : 20 \| horacio nava \| mexico \| 1:24:15 \| None row 20 : 21 \| christopher linke \| germany \| 1:24:17 \| None row 21 : 22 \| caio bonfim \| brazil \| 1:24:29 \| None row 22 : 23 \| trevor barron \| united states \| 1:24:33 \| None row 23 : 24 \| rafał augustyn \| poland \| 1:24:47 \| None row 24 : 25 \| byun youngjun \| south korea \| 1:24:48 \| None row 25 : 28 \| recep celik \| turkey \| 1:25:39 \| None row 26 : 29 \| nazar kovalenko \| ukraine \| 1:25:50 \| None row 27 : 31 \| babubhai panucha \| india \| 1:26:53 \| None row 28 : 32 \| david kimutai \| kenya \| 1:27:20 \| sb row 29 : 33 \| yerko araya \| chile \| 1:27:47 \| None row 30 : 34 \| hedi teraoui \| tunisia \| 1:29:48 \| None row 31 : 35 \| diego flores \| mexico \| 1:30:00 \| None row 32 : 37 \| emerson hernandez \| el salvador \| 1:30:48 \| sb row 33 : 38 \| ronald quispe \| bolivia \| 1:32:09 \| pb row 34 : None \| moacir zimmermann \| brazil \| dsq \| None row 35 : None \| gustavo restrepo \| colombia \| dsq \| None row 36 : None \| giorgio rubino \| italy \| dsq \| None row 37 : None \| anatole ibanez \| sweden \| dsq \| None row 38 : None \| adam rutter \| australia \| dnf \| None row 39 : None \| mauricio arteaga \| ecuador \| dnf \| None ] Execute this SQL based on the above table: select nationality where id = 1	russia
[ header: alumni chapters and clubs \| location \| founding date \| years active \| province row 1 : zeta alpha \| detroit, mi \| 1925 \| None \| beta row 2 : zeta beta \| columbus, oh \| december 14, 1926 \| None \| alpha north row 3 : zeta gamma \| cincinnati, oh \| december 14, 1926 \| None \| alpha south row 4 : zeta epsilon \| chicago, il \| may 21, 1928 \| None \| None row 5 : zeta zeta \| denver, co \| november 23, 1940 \| None \| gamma row 6 : zeta eta \| bloomington-normal, il \| december 13, 1941 \| None \| delta row 7 : zeta lambda \| baton rouge, la \| 1946 \| None \| None row 8 : zeta nu \| ann arbor, mi \| december 1948 \| None \| None row 9 : zeta xi \| oakland county, mi \| july 7, 1953 \| None \| None row 10 : zeta omicron \| akron-kent, o \| may 27, 1956 \| 1956-present \| alpha north row 11 : zeta rho \| kearney, ne \| march 7, 1959 \| None \| None row 12 : zeta tau \| st. petersburg, f \| december 10, 1960 \| None \| None row 13 : zeta upsilon \| washington, d.c \| december 18, 1961 \| None \| None row 14 : zeta chi \| dayton, oh \| february 14, 1967 \| 1967-present \| alpha south row 15 : zeta psi \| philadelphia, pa \| june 4, 1967 \| None \| None row 16 : zeta omega \| spartanburg-greenville, \| april 12, 1969 \| None \| None row 17 : eta alpha \| pueblo, co \| may 25, 1969 \| None \| None row 18 : eta beta \| brownwood, tx \| november 14, 1969 \| None \| None row 19 : eta gamma \| ft. collins, co \| march 7, 1970 \| None \| None row 20 : eta epsilon \| atlanta, ga \| february 23, 1971 \| None \| None row 21 : eta zeta \| buffalo, ny \| may 2, 1971 \| None \| None row 22 : eta theta \| dallas, tx \| november 9, 1975 \| None \| None row 23 : eta iota \| huntsville, al \| september 24, 1978 \| None \| None row 24 : eta kappa \| phoenix, az \| january 26, 1980 \| None \| None row 25 : eta lambda \| lithonia, ga \| may 18, 2003 \| 2004-2011 \| iota row 26 : eta mu \| atlanta, ga \| july 18, 2004 \| 2004-2011 \| iota row 27 : champaign-urbana alumni club \| chambaign-urbana, il \| None \| None \| delta row 28 : lincoln alumni club \| lincoln, ne \| None \| None \| theta row 29 : kearney alumni club \| kearney, ne \| None \| None \| theta row 30 : atlanta alumni club \| atlanta, ga \| None \| None \| iota row 31 : middle tennessee alumni club \| murfreesboro, tn \| 2013 \| 2013-present \| zeta west ] Execute this SQL based on the above table: select count ( years active ) where location = '2013-present' and location = 1380	0
[ header: name \| faith \| type \| gov \| opened \| intake \| dcsf number \| ofsted number \| web \| coordinates row 1 : ashfield \| None \| junior \| vc \| 1845 \| 60 \| 3012 \| 117391 \| w \| 51°38′22′′n 0° row 2 : bournehall \| None \| primary \| cy \| 1969 \| 30 \| 2360 \| 117296 \| w \| 51°39′00′′n 0° row 3 : bushey heath \| None \| primary \| cy \| 1879 \| 30 \| 2012 \| 117088 \| w \| 51°38′12′′n 0° row 4 : bushey manor \| None \| junior \| cy \| 1907 \| 60 \| 2261 \| 117242 \| w \| 51°38′49′′n 0° row 5 : falconer \| None \| special \| cy \| None \| None \| 7033 \| 117686 \| w \| 51°38′49′′n 0° row 6 : hartsbourne \| None \| primary \| cy \| None \| 30 \| 2372 \| 117300 \| w \| 51°37′52′′n 0° row 7 : highwood \| None \| primary \| cy \| 1949 \| 60 \| 2013 \| 117089 \| w \| 51°39′57′′n 0° row 8 : little reddings \| None \| primary \| fd \| None \| 51 \| 5208 \| 117568 \| w \| 51°38′51′′n 0° row 9 : meadow wood \| None \| special \| cy \| None \| None \| 7043 \| 117691 \| w \| 51°38′54′′n 0° row 10 : merry hill \| None \| infants \| cy \| 1885 \| 60 \| 2014 \| 117090 \| w \| 51°38′17′′n 0° row 11 : sacred heart \| rc \| primary \| va \| 1970 \| 40 \| 3415 \| 117488 \| w \| 51°38′38′′n 0° ] Execute this SQL based on the above table: select type where web = 'w' and type != 'junior'	primary, primary, special, primary, primary, primary, special, infants, primary
[ header: place \| player \| country \| score \| to par \| money ($) row 1 : t1 \| larry nelson \| united states \| 70-72-73-72=287 \| -1 \| playoff row 2 : t1 \| lanny wadkins \| united states \| 70-70-74-73=287 \| -1 \| playoff row 3 : t3 \| scott hoch \| united states \| 74-74-71-69=2 \| e \| 58750 row 4 : t3 \| d. a. weibring \| united states \| 73-72-67-76=2 \| e \| 58750 row 5 : t5 \| mark mccumber \| united states \| 74-69-69-77=2 \| 1 \| 37500 row 6 : t5 \| don pooley \| united states \| 73-71-73-72=2 \| 1 \| 37500 row 7 : t7 \| ben crenshaw \| united states \| 72-70-74-74=290 \| 2 \| 27500 row 8 : t7 \| bobby wadkins \| united states \| 68-74-71-77=290 \| 2 \| 27500 row 9 : 9 \| curtis strange \| united states \| 70-76-71-74=291 \| 3 \| 22500 row 10 : t10 \| seve ballesteros \| spain \| 72-70-72-78=292 \| 4 \| 17000 row 11 : t10 \| david frost \| south africa \| 75-70-71-76=292 \| 4 \| 17000 row 12 : t10 \| tom kite \| united states \| 72-77-71-72=292 \| 4 \| 17000 row 13 : t10 \| nick price \| zimbabwe \| 76-71-70-75=29 \| 4 \| 17000 ] Execute this SQL based on the above table: select country where country in ( 'united states' , 'united states' ) order by money ($) desc limit 1	united states
[ header: season \| level \| division \| section \| position \| movements row 1 : 1985 \| tier 4 \| division 3 \| norra norrland \| 5th \| None row 2 : 1986 \| tier 4 \| division 3 \| norra norrland \| 4th \| promoted row 3 : 1987 \| tier 3 \| division 2 \| norra \| 5th \| None row 4 : 1988 \| tier 3 \| division 2 \| norra \| 1st \| promoted row 5 : 1989 \| tier 2 \| division 1 \| norra \| 3rd \| None row 6 : 1990 \| tier 2 \| division 1 \| norra \| 6th \| None row 7 : 1991 \| tier 2 \| division 1 \| norra \| 1st \| spring row 8 : None \| tier 2 \| division 1 \| kvalsvenskan \| 8th \| autumn row 9 : 1992 \| tier 2 \| division 1 \| norra \| 7th \| spring row 10 : None \| tier 2 \| division 1 \| norra \| 8th \| autumn - relegated row 11 : 1993 \| tier 3 \| division 2 \| norrland \| 1st \| promoted row 12 : 1994 \| tier 2 \| division 1 \| norra \| 13th \| relegated row 13 : 1995 \| tier 3 \| division 2 \| norrland \| 9th \| None row 14 : 1996 \| tier 3 \| division 2 \| norrland \| 8th \| None row 15 : 1997 \| tier 3 \| division 2 \| norrland \| 6th \| None row 16 : 1998 \| tier 3 \| division 2 \| norrland \| 7th \| None row 17 : 1999 \| tier 3 \| division 2 \| norrland \| 3rd \| None row 18 : 2000 \| tier 3 \| division 2 \| norrland \| 8th \| None row 19 : 2001 \| tier 3 \| division 2 \| norrland \| 10th \| relegation playoffs row 20 : 2002 \| tier 3 \| division 2 \| norrland \| 10th \| relegation playoffs row 21 : 2003 \| tier 3 \| division 2 \| norrland \| 10th \| relegation playoffs row 22 : 2004 \| tier 3 \| division 2 \| norrland \| 7th \| None row 23 : 2005 \| tier 3 \| division 2 \| norrland \| 4th \| promoted row 24 : 2006 \| tier 3 \| division 1 \| norra \| 14th \| relegated row 25 : 2007 \| tier 4 \| division 2 \| norrland \| 10th \| relegation playoffs row 26 : 2008 \| tier 4 \| division 2 \| norrland \| 12th \| relegated row 27 : 2009 \| tier 5 \| division 3 \| norra norrland \| 8th \| None row 28 : 2010 \| tier 5 \| division 3 \| norra norrland \| 3rd \| None row 29 : 2011 \| tier 5 \| division 3 \| norra norrland \| 2nd \| promotion playoffs row 30 : 2012 \| tier 5 \| division 3 \| norra norrland \| 3rd \| None ] Execute this SQL based on the above table: select count ( * ) where season > season and season > level	0
[ header: team \| location \| venue \| capacity \| position in 1993-94 row 1 : dinamo minsk \| minsk \| dinamo, minsk \| 41040 \| 1 row 2 : dinamo-93 \| minsk \| dinamo, minsk \| 41040 \| 2 row 3 : dvina \| vitebsk \| central, vitebsk \| 8300 \| 3 row 4 : dnepr \| mogilev \| spartak, mogilev \| 11200 \| 4 row 5 : bobruisk \| bobruisk \| spartak, bobruisk \| 3550 \| 5 row 6 : torpedo minsk \| minsk \| torpedo, minsk \| 5200 \| 6 row 7 : shinnik \| bobruisk \| spartak, bobruisk \| 3550 \| 7 row 8 : dinamo brest \| brest \| dinamo, brest \| 10080 \| 8 row 9 : molodechno \| molodechno \| city stadium, molodechno \| 5500 \| 9 row 10 : lokomotiv \| vitebsk \| central, vitebsk \| 8300 \| 10 row 11 : neman \| grodno \| neman \| 6300 \| 11 row 12 : vedrich \| rechytsa \| central, rechytsa \| 3550 \| 12 row 13 : shakhtyor \| soligorsk \| stroitel \| 5000 \| 13 row 14 : torpedo mogilev \| mogilev \| torpedo, mogilev \| 3500 \| 14 row 15 : gomselmash \| gomel \| central, gomel \| 11800 \| 15 row 16 : obuvshchik \| lida \| city stadium, lida \| 4000 \| first league, 1 ] Execute this SQL based on the above table: select ( select count ( * ) where team = 'neman' ) > 879	0
[ header: number \| date \| name \| age (at execution) \| age (at offense) \| race \| state \| method row 1 : 1 \| november 2, 1984 \| velma margie barfield \| 52 \| 45 \| white \| north carolina \| lethal injection row 2 : 2 \| february 3, 1998 \| karla faye t \| 38 \| 23 \| white \| texas \| lethal injection row 3 : 3 \| march 30, 1998 \| judias v. buen \| 54 \| 28 \| white \| florida \| electrocution row 4 : 4 \| february 24, 2000 \| betty lou beets \| 62 \| 46 \| white \| texas \| lethal injection row 5 : 5 \| may 2, 2000 \| christina marie riggs \| 28 \| 26 \| white \| arkansas \| lethal injection row 6 : 6 \| january 11, 2001 \| wanda jean allen \| 41 \| 29 \| black \| oklahoma \| lethal injection row 7 : 7 \| may 1, 2001 \| marilyn kay plantz \| 40 \| 27 \| white \| oklahoma \| lethal injection row 8 : 8 \| december 4, 2001 \| lois nadean smith \| 61 \| 41 \| white \| oklahoma \| lethal injection row 9 : 9 \| may 10, 2002 \| lynda lyon block \| 54 \| 45 \| white \| alabama \| electrocution row 10 : 10 \| october 9, 2002 \| aileen carol wuor \| 46 \| 33 \| white \| florida \| lethal injection row 11 : 11 \| september 14, 2005 \| frances elaine newton \| 40 \| 21 \| black \| texas \| lethal injection row 12 : 12 \| september 23, 2010 \| teresa wilson bean \| 41 \| 33 \| white \| virginia \| lethal injection row 13 : 13 \| june 26, 2013 \| kimberly lagayle \| 52 \| 36 \| black \| texas \| lethal injection row 14 : 14 \| february 5, 2014 \| suzanne margaret basso \| 59 \| 44 \| white \| texas \| lethal injection ] Execute this SQL based on the above table: select name where number = 11 and name != 'wanda jean allen'	frances elaine newton
[ header: rank \| name \| nation(s) \| born \| ascended \| years reigned row 1 : 1 \| bhumibol adulya \| thailand \| 5 december 1927 \| 9 june 1946 \| 68 years, 3 days row 2 : 7 \| qaboos bin said al said \| oman \| 18 november 1940 \| 23 july 1970 \| 43 years, 324 days row 3 : 10 \| carl xvi gustaf \| sweden \| 30 april 1946 \| 15 september 1973 \| 40 years, 270 days row 4 : 16 \| mswati iii \| swaziland \| 19 april 1968 \| 25 april 1986 \| 28 years, 48 days row 5 : 17 \| akihito \| japan \| 23 december 1933 \| 7 january 1989 \| 25 years, 156 days row 6 : 19 \| hans-adam ii \| liechtenstein \| 14 february 1945 \| 13 november 1989 \| 24 years, 211 days row 7 : 21 \| harald v \| norway \| 21 february 1937 \| 17 january 1991 \| 23 years, 146 days row 8 : 24 \| mizan zainal abidin \| terengganu (malaysia \| 22 january 1962 \| 15 may 1998 \| 16 years, 28 days row 9 : 25 \| abdullah ii \| jordan \| 30 january 1962 \| 7 february 1999 \| 15 years, 125 days row 10 : 26 \| hamad bin isa al k \| bahrain \| 28 january 1950 \| 6 march 1999 \| 15 years, 98 days row 11 : 30 \| tuanku syed sir \| perlis (malaysia) \| 16 may 1943 \| 17 april 2000 \| 14 years, 56 days row 12 : 31 \| henri \| luxembourg \| 16 april 1955 \| 7 october 2000 \| 13 years, 248 days row 13 : 33 \| norodom sihamoni \| cambodia \| 14 may 1953 \| 14 october 2004 \| 9 years, 241 days row 14 : 37 \| mohammed bin rashid al ma \| dubai (united arab emir \| 22 july 1949 \| 4 january 2006 \| 8 years, 159 days row 15 : 39 \| tuheitia paki \| maori king (new zealand \| 21 april 1955 \| 21 august 2006 \| 7 years, 295 days row 16 : 41 \| kapiliele faupala \| wallis island (uvea) (wall \| 1940 \| 25 june 2008 \| 5 years, 352 days row 17 : 45 \| ibrahim ismail \| johor (malaysia \| 22 november 1958 \| 22 january 2010 \| 4 years, 141 days row 18 : 47 \| muhammad v \| kelantan (malaysia \| 6 october 1969 \| 13 september 2010 \| 3 years, 272 days row 19 : 49 \| tupou vi \| tonga \| 12 july 1959 \| 18 march 2012 \| 2 years, 86 days row 20 : 50 \| francis \| vatican city \| 17 december 1936 \| 13 march 2013 \| 1 year, 91 days row 21 : 51 \| willem-alexander \| netherlands \| 27 april 1967 \| 30 april 2013 \| 1 year, 43 days row 22 : 53 \| philippe \| belgium \| 15 april 1960 \| 21 july 2013 \| 0 years, 326 days ] Execute this SQL based on the above table: select ( select name where born = 1940 ) - ( select name where born = '22 january 1962' )	0
[ header: s.no. \| name of kingdom \| name of king \| no. of villages \| capital \| names of districts row 1 : 1 \| sihag \| chokha singh \| 150 \| suin \| rawatsar, baramsar, row 2 : 2 \| beniwal \| raisal singh \| 150 \| rasalana \| bhukarka, sand row 3 : 3 \| johiya \| sher singh \| 600 \| bhurupal \| jaitpur, kumanu, ma row 4 : 4 \| punia \| kanha singh \| 300 \| luddi \| bhadra, ajitpura row 5 : 5 \| saharan \| pula singh \| 300 \| bhadang \| khejra, phoglo row 6 : 6 \| godara \| pandu singh \| 700 \| shekhsar \| shekhsar, pundrasar row 7 : 7 \| kaswan \| kanwarpal singh \| 400 \| sidhmukh \| None ] Execute this SQL based on the above table: select s.no. order by no. of villages asc limit 165	1, 2, 4, 5, 7, 3, 6
[ header: rank \| player \| county \| tally \| total \| opposition row 1 : 1 \| eamonn flynn \| dublin \| 3-5 \| 14 \| wexford row 2 : 1 \| charlie mccarthy \| cork \| 2-8 \| 14 \| galway row 3 : 3 \| paddy fahy \| galway \| 2-7 \| 13 \| kildare row 4 : 5 \| charlie mccarthy \| cork \| 3-3 \| 12 \| offaly row 5 : 5 \| michael moroney \| clare \| 2-6 \| 12 \| dublin row 6 : 5 \| declan lovett \| kerry \| 1-9 \| 12 \| galway row 7 : 9 \| ger cuddy \| laois \| 3-2 \| 11 \| wicklow row 8 : 9 \| pat enright \| waterford \| 2-5 \| 11 \| kerry row 9 : 9 \| pat enright \| waterford \| 1-8 \| 11 \| laois row 10 : 9 \| johnny walsh \| kildare \| 0-11 \| 11 \| waterford row 11 : 9 \| eddie keher \| kilkenny \| 0-11 \| 11 \| wexford row 12 : 14 \| brendan cummins \| cork \| 3-1 \| 10 \| wexford row 13 : 14 \| p. j. molloy \| galway \| 3-1 \| 10 \| kerry row 14 : 14 \| nick behan \| kildare \| 3-1 \| 10 \| kerry row 15 : 14 \| seanie o'leary \| cork \| 3-1 \| 10 \| limerick row 16 : 14 \| michael keating \| tipperary \| 2-4 \| 10 \| wexford row 17 : 14 \| declan lovett \| kerry \| 2-4 \| 10 \| waterford row 18 : 14 \| michael keating \| tipperary \| 2-4 \| 10 \| dublin row 19 : 14 \| eddie keher \| kilkenny \| 2-4 \| 10 \| dublin row 20 : 14 \| mick dwan \| kildare \| 2-4 \| 10 \| antrim row 21 : 14 \| charlie mccarthy \| cork \| 1-7 \| 10 \| kilkenny row 22 : 14 \| paddy fahy \| galway \| 0-10 \| 10 \| kerry row 23 : 14 \| johnny walsh \| kildare \| 0-10 \| 10 \| westmeath row 24 : 27 \| p flynn \| wexford \| 3-0 \| 9 \| offaly row 25 : 27 \| n casey \| clare \| 3-0 \| 9 \| cork row 26 : 27 \| willie moore \| limerick \| 3-0 \| 9 \| cork row 27 : 27 \| ger cuddy \| laois \| 3-0 \| 9 \| westmeath row 28 : 27 \| tom ryan \| galway \| 3-0 \| 9 \| laois row 29 : 27 \| seanie o'leary \| cork \| 3-0 \| 9 \| offaly row 30 : 27 \| p flynn \| wexford \| 2-3 \| 9 \| cork row 31 : 27 \| eddie keher \| kilkenny \| 2-3 \| 9 \| limerick row 32 : 27 \| johnny walsh \| kildare \| 1-6 \| 9 \| galway row 33 : 27 \| francis loughnane \| tipperary \| 1-6 \| 9 \| cork row 34 : 27 \| richie bennis \| limerick \| 1-6 \| 9 \| cork row 35 : 27 \| pat enright \| waterford \| 0-9 \| 9 \| kildare row 36 : 27 \| johnny walsh \| kildare \| 0-9 \| 9 \| kerry ] Execute this SQL based on the above table: select player where player = 'ger cuddy'	ger cuddy, ger cuddy
[ header: lift name \| type \| top elevation (ft) \| bottom elevation \| vertical rise \| length (ft) \| slope (%) \| capacity (rides/hr) \| speed (ft/min) \| lift manufacturer \| year installed row 1 : bruno \| fixed double \| 5885 \| 5840 \| 45 \| 368 \| 12% \| 630 \| 300 \| poma \| 1987 row 2 : molly's express \| detach quad \| 5835 \| 4990 \| 845 \| 5244 \| 16% \| 1200 \| 1000 \| doppelmayr \| 2000 row 3 : pucci \| fixed triple \| 5920 \| 5350 \| 570 \| 3398 \| 17% \| 1330 \| 450 \| poma \| 1987 row 4 : stormin' norman \| detach quad \| 6245 \| 5460 \| 785 \| 4396 \| 18% \| 1500 \| 1000 \| doppelmayr \| 2000 row 5 : magic mile express \| detach quad \| 6990 \| 5915 \| 1075 \| 5359 \| 20% \| 1600 \| 950 \| poma \| 1992 row 6 : palmer express \| detach quad \| 8470 \| 6940 \| 1530 \| 5468 \| 29% \| 1800 \| 1000 \| doppelmayr \| 1996 row 7 : jeff flood express (still creek basin) \| detach quad \| 6020 \| 4850 \| 1170 \| 6506 \| 18% \| 1800 \| 1000 \| doppelmayr \| 2007 ] Execute this SQL based on the above table: select count ( type ) where vertical rise not null and year installed not null and vertical rise is null	0
[ header: state \| swimsuit \| interview \| evening gown \| average \| finalists row 1 : iowa \| 9.267 \| 9.651 \| 9.620 \| 9.513 \| 9.800 row 2 : oklahoma \| 9.226 \| 9.309 \| 9.487 \| 9.341 \| 9.586 row 3 : kansas \| 9.221 \| 9.600 \| 9.600 \| 9.474 \| 9.486 row 4 : alabama \| 9.010 \| 9.326 \| 9.449 \| 9.262 \| 9.471 row 5 : north carolina \| 9.079 \| 9.207 \| 9.500 \| 9.262 \| 9.414 row 6 : california \| 9.340 \| 9.514 \| 9.486 \| 9.447 \| 9.400 row 7 : rhode island \| 9.087 \| 9.279 \| 9.341 \| 9.235 \| None row 8 : maryland \| 9.021 \| 9.206 \| 9.271 \| 9.166 \| None row 9 : indiana \| 8.966 \| 9.103 \| 9.370 \| 9.146 \| None row 10 : virginia \| 8.984 \| 9.112 \| 9.279 \| 9.125 \| None row 11 : mississippi \| 8.917 \| 9.200 \| 9.247 \| 9.121 \| None row 12 : illinois \| 8.897 \| 8.969 \| 9.286 \| 9.050 \| None ] Execute this SQL based on the above table: select state where id = ( select id where state = 'maryland' and interview = '9.206' ) + 1	indiana
[ header: rank \| name \| nationality \| time \| notes row 1 : None \| jill sterkel \| united states \| 1:00.53 \| nr, gr row 2 : None \| lisa buese \| united states \| 1:00.59 \| None row 3 : None \| nancy garapick \| canada \| 1:02.96 \| None row 4 : 4 \| shelley cramer \| u.s. virgin islands \| 1:03.51 \| nr row 5 : 5 \| susan sloan \| canada \| 1:03.52 \| None row 6 : 6 \| maria paris \| costa rica \| 1:03.58 \| None row 7 : 7 \| rosanna juncos \| argentina \| 1:04.75 \| None row 8 : 8 \| adriana pereira \| brazil \| 1:06.79 \| None ] Execute this SQL based on the above table: select nationality where nationality in ( 'brazil' , 'argentina' ) order by time limit 1	argentina
[ header: name \| position \| year \| league apps \| league goals \| total apps \| total goals \| notes row 1 : walter langton \| lb / cf \| 1887-1905 \| 45 \| 28 \| 48 \| 48 \| doncaster's longest serving player appearance stats row 2 : tom keetley \| fw \| 1923-1929 \| 231 \| 180 \| 241 \| 186 \| record all time goalscorer. most goals in row 3 : fred emery \| wh \| 1924-1936 \| 417 \| 30 \| 439 \| 32 \| record league appearances manager of doncaster 1936-19 row 4 : paddy mcconnell \| if \| 1925-1930 \| 137 \| 20 \| 143 \| 21 \| the first current doncaster player to represent his country row 5 : syd bycroft \| df \| 1936-1951 \| 333 \| 2 \| 355 \| 2 \| including wartime league matches, he played row 6 : eddie perry \| cf \| 1936-1938 \| 98 \| 44 \| 102 \| None \| welsh international whilst at don row 7 : clarrie jordan \| fw \| 1945-1948 \| 60 \| 48 \| 67 \| 50 \| most doncaster league goals in one season (42 row 8 : charlie williams \| df \| 1948-1959 \| 158 \| 1 \| 174 \| 1 \| famous comedian row 9 : peter doherty \| if \| 1949-1953 \| 103 \| 55 \| 109 \| 58 \| ireland international player and manager of northern row 10 : len graham \| mf \| 1949-1958 \| 312 \| 3 \| 332 \| 3 \| northern ireland international whilst at row 11 : kit lawlor \| if \| 1950-1954 \| 127 \| 47 \| 143 \| 49 \| republic of ireland international whilst row 12 : harry gregg \| gk \| 1952-1957 \| 94 \| 0 \| 99 \| 0 \| northern ireland international whilst at row 13 : alick jeffrey \| fw \| 1954-1956, 1963-1968 \| 262 \| 129 \| 293 \| 140 \| youngest doncaster player (15 years 229 days row 14 : colin douglas \| fw \| 1981-1986, 1988-1993 \| 404 \| 53 \| 444 \| 62 \| record total appearances (not including the wartime row 15 : brian stock \| mf \| 2006-2012 \| 193 \| 18 \| 216 \| 23 \| welsh international whilst at don row 16 : billy sharp \| fw \| 2009-2012, 2014- \| 92 \| 44 \| 96 \| 45 \| record transfer fee paid: £1,150,000 ] Execute this SQL based on the above table: select name where total goals = ( select total goals where name = 'charlie williams' ) + 1	syd bycroft
[ header: number \| symbol \| name \| 21st \| 22nd \| 23rd \| 24th \| 25th \| 26th \| 27th \| 28th \| 29th \| 30th row 1 : 21 \| sc \| scandium \| 582163 \| None \| None \| None \| None \| None \| None \| None \| None \| None row 2 : 22 \| ti \| titanium \| 602930 \| 639294 \| None \| None \| None \| None \| None \| None \| None \| None row 3 : 23 \| v \| vanadium \| 151440 \| 661050 \| 699144 \| None \| None \| None \| None \| None \| None \| None row 4 : 24 \| cr \| chromium \| 157700 \| 166090 \| 721870 \| 761733 \| None \| None \| None \| None \| None \| None row 5 : 25 \| mn \| manganese \| 158600 \| 172500 \| 181380 \| 785450 \| 827067 \| None \| None \| None \| None \| None row 6 : 26 \| fe \| iron \| 163000 \| 173600 \| 188100 \| 195200 \| 851800 \| 895161 \| None \| None \| None \| None row 7 : 27 \| co \| cobalt \| 167400 \| 178100 \| 189300 \| 204500 \| 214100 \| 920870 \| 966023 \| None \| None \| None row 8 : 28 \| ni \| nickel \| 169400 \| 182700 \| 194000 \| 205600 \| 221400 \| 231490 \| 992718 \| 1039668 \| None \| None row 9 : 29 \| cu \| copper \| 174100 \| 184900 \| 198800 \| 210500 \| 222700 \| 239100 \| 249660 \| 1067358 \| 1116105 \| None row 10 : 30 \| zn \| zinc \| 179100 \| None \| None \| None \| None \| None \| None \| None \| None \| None row 11 : 36 \| kr \| krypton \| 85300 \| 90400 \| 96300 \| 101400 \| 111100 \| 116290 \| 282500 \| 296200 \| 311400 \| 326200 row 12 : 42 \| mo \| molybdenum \| 87000 \| 93400 \| 98420 \| 104400 \| 121900 \| 127700 \| 133800 \| 139800 \| 148100 \| 154500 ] Execute this SQL based on the above table: select count ( * ) where name = 575	0
[ header: club \| season \| league apps \| league goals \| fa cup apps \| fa cup goals \| league cup apps \| league cup goals \| other apps \| other goals \| total apps \| total goals row 1 : bristol rovers \| 2000-01 \| 10 \| 2 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 10 \| 2 row 2 : bristol rovers \| 2001-02 \| 31 \| 3 \| 3 \| 0 \| 2 \| 0 \| 3 \| 0 \| 39 \| 3 row 3 : bristol rovers \| 2002-03 \| 9 \| 0 \| 1 \| 0 \| 0 \| 0 \| 1 \| 0 \| 11 \| 0 row 4 : bristol rovers \| total \| 50 \| 5 \| 4 \| 0 \| 2 \| 0 \| 4 \| 0 \| 60 \| 5 row 5 : yeovil town \| 2002-03 \| 13 \| 13 \| 0 \| 0 \| 0 \| 0 \| 2 \| 1 \| 15 \| 14 row 6 : yeovil town \| 2003-04 \| 43 \| 8 \| 3 \| 1 \| 1 \| 0 \| 2 \| 1 \| 49 \| 10 row 7 : yeovil town \| 2004-05 \| 44 \| 3 \| 5 \| 0 \| 2 \| 0 \| 1 \| 0 \| 52 \| 3 row 8 : yeovil town \| 2005-06 \| 36 \| 2 \| 3 \| 0 \| 2 \| 1 \| 1 \| 0 \| 42 \| 3 row 9 : yeovil town \| total \| 136 \| 26 \| 11 \| 1 \| 5 \| 1 \| 6 \| 2 \| 158 \| 30 row 10 : carlisle united \| 2006-07 \| 45 \| 8 \| 1 \| 0 \| 1 \| 0 \| 1 \| 0 \| 48 \| 8 row 11 : carlisle united \| 2007-08 \| 21 \| 1 \| 2 \| 0 \| 2 \| 0 \| 2 \| 2 \| 27 \| 3 row 12 : carlisle united \| 2008-09 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 row 13 : carlisle united \| total \| 66 \| 9 \| 3 \| 0 \| 3 \| 0 \| 3 \| 2 \| 75 \| 11 row 14 : darlington (loan) \| 2008-09 \| 8 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 8 \| 0 row 15 : lincoln city (loan \| 2008-09 \| 9 \| 0 \| 0 \| 0 \| 1 \| 0 \| 1 \| 0 \| 11 \| 0 row 16 : port vale (loan) \| 2008-09 \| 7 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 7 \| 0 row 17 : darlington \| 2009-10 \| 10 \| 2 \| 0 \| 0 \| 0 \| 0 \| 2 \| 0 \| 12 \| 2 row 18 : york city \| 2009-10 \| 5 \| 1 \| 1 \| 0 \| 0 \| 0 \| 3 \| 0 \| 9 \| 1 row 19 : wrexham \| 2010-11 \| 5 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 5 \| 0 row 20 : career total \| career total \| 296 \| 43 \| 19 \| 1 \| 11 \| 1 \| 19 \| 4 \| 345 \| 49 ] Execute this SQL based on the above table: select club where league cup apps = 0 and club = 'yeovil town'	yeovil town
[ header: date \| opponent# \| rank# \| site \| result \| attendance row 1 : september 12 \| #1 michigan \| None \| camp randall stadium • madison, \| w 21-14 \| 68733 row 2 : september 19 \| #9 ucla \| #20 \| camp randall stadium • madison, \| l 13-31 \| 71496 row 3 : september 26 \| western michigan \| None \| camp randall stadium • madison, \| w 21-10 \| 67196 row 4 : october 3 \| purdue \| None \| camp randall stadium • madison, \| w 20-14 \| 68603 row 5 : october 10 \| #18 ohio state \| None \| camp randall stadium • madison, \| w 24-21 \| 78973 row 6 : october 17 \| at michigan state \| #14 \| spartan stadium • east lans \| l 14-33 \| 67352 row 7 : october 24 \| at illinois \| None \| memorial stadium • champaign, il \| l 21-23 \| 67413 row 8 : october 31 \| northwestern \| None \| camp randall stadium • madison, \| w 52-0 \| 70035 row 9 : november 7 \| at indiana \| None \| memorial stadium • bloomington, in \| w 28-7 \| 44218 row 10 : november 14 \| iowa \| None \| camp randall stadium • madison, \| l 7-17 \| 78731 row 11 : november 21 \| at minnesota \| None \| memorial stadium • minneapolis, \| w 26-21 \| 47125 row 12 : december 13 \| vs. tennessee \| None \| giants stadium • east rutherford, \| l 21-28 \| 53220 ] Execute this SQL based on the above table: select attendance - attendance where attendance = 67352	0.0
[ header: election \| name of the party/alliance \| number of votes \| percentage \| seats in the parliament row 1 : 2010 \| partidul popular crestin democrat (ppcd \| 9046 \| 0.53% \| None row 2 : 29 july 2009 \| partidul popular crestin democrat (ppcd \| 30173 \| 1.91% \| None row 3 : 5 april 2009 \| partidul popular crestin democrat (ppcd \| 46549 \| 3.03% \| None row 4 : 6 march 2005 \| partidul popular crestin democrat (ppcd \| 141341 \| 9.07% \| 11 row 5 : 25 february 2001 \| partidul popular crestin democrat (ppcd \| 130810 \| 8.24% \| 11 row 6 : 22 march 1998 \| blocul electoral "conventia democrat \| 315206 \| 19.42% \| 26 row 7 : 27 february 1994 \| blocul electoral "alianta frontului popular \| 133606 \| 7.53% \| 9 ] Execute this SQL based on the above table: select count ( percentage ) where seats in the parliament >= 11	3