Split (3)

train · 796k rows

input stringlengths 20 5.6k	output stringlengths 0 17.9k
[ header: pos \| no. \| driver \| team \| laps \| time/retired \| grid \| laps led \| points row 1 : 2 \| 4 \| j. r. hilde \| panther racing \| 200 \| 2.1086 \| 12 \| 7 \| 44 row 2 : 3 \| 38 \| graham rahal \| chip ganassi racing \| 200 \| 5.5949 \| 29 \| 6 \| 38 row 3 : 4 \| 82 \| tony kanaan \| kv racing technology - lotus \| 200 \| 7.487 \| 22 \| 0 \| 36 row 4 : 5 \| 9 \| scott dixon (w)1 \| chip ganassi racing \| 200 \| 9.5434 \| 2 \| 73 \| 45 row 5 : 7 \| 30 \| bertrand baguette \| rahal letterman lanigan racing \| 200 \| 23.9631 \| 14 \| 11 \| 30 row 6 : 9 \| 26 \| marco andretti \| andretti autosport \| 200 \| 25.7411 \| 27 \| 0 \| 25 row 7 : 12 \| 10 \| dario franchitti (w) \| chip ganassi racing \| 200 \| 56.4167 \| 9 \| 51 \| 24 row 8 : 14 \| 12 \| will power \| team penske \| 199 \| +1 lap \| 5 \| 0 \| 26 row 9 : 15 \| 14 \| vitor meira \| a. j. foyt enterprises \| 199 \| +1 lap \| 11 \| 0 \| 19 row 10 : 17 \| 3 \| helio castroneves (w \| team penske \| 199 \| +1 lap \| 16 \| 0 \| 17 row 11 : 18 \| 44 \| buddy rice (w) \| panther racing \| 198 \| +2 laps \| 7 \| 0 \| 20 row 12 : 19 \| 19 \| alex lloyd \| dale coyne racing \| 198 \| +2 laps \| 30 \| 0 \| 15 row 13 : 20 \| 36 \| pippa mann (r) \| conquest racing \| 198 \| +2 laps \| 31 \| 0 \| 15 row 14 : 21 \| 24 \| ana beatriz \| dreyer & reinbold racing \| 197 \| +3 laps \| 32 \| 0 \| 15 row 15 : 22 \| 43 \| john andretti \| andretti autosport \| 197 \| +3 laps \| 17 \| 0 \| 16 row 16 : 24 \| 11 \| davey hamilton \| dreyer & reinbold racing \| 193 \| +7 laps \| 15 \| 0 \| 16 row 17 : 25 \| 23 \| paul tracy \| dreyer & reinbold racing \| 175 \| +25 laps \| 24 \| 0 \| 13 row 18 : 26 \| 99 \| townsend bell \| sam schmidt motorsports \| 157 \| contact \| 4 \| 0 \| 21 row 19 : 28 \| 77 \| alex tagliani \| sam schmidt motorsports \| 147 \| contact \| 1 \| 20 \| 25 row 20 : 29 \| 6 \| james hinchcliffe (r) \| newman/haas racing \| 99 \| contact \| 13 \| 0 \| 14 row 21 : 31 \| 78 \| simona de silvestro \| hvm racing \| 44 \| handling \| 23 \| 0 \| 14 row 22 : 33 \| 5 \| takuma sato \| kv racing technology - lotus \| 20 \| contact \| 10 \| 0 \| 14 ] Execute this SQL based on the above table: select count ( pos ) where time/retired > 1568	0
[ header: \| separation (arcsec) \| separation (au) \| most recent position angle \| period (years) \| semi-major axis (arcseconds) \| notes row 1 : ab-cd \| 208.2 \| 10500 \| 172 \| None \| None \| ε1-ε2 row 2 : ab \| 2.3 \| 116 \| 347 \| 1804.41 \| 4.742 \| components of ε1 row 3 : cd \| 2.4 \| 121 \| 79 \| 724.307 \| 2.92 \| components of ε2 row 4 : ca \| 0.1 \| 5 \| 225 \| None \| None \| recently discovered interferometric companion row 5 : ai \| 149.6 \| 7500 \| 138 \| None \| None \| None row 6 : ce \| 63.7 \| 3200 \| 333 \| None \| None \| None row 7 : ef \| 46 \| 2300 \| 37 \| None \| None \| None row 8 : eg \| 50 \| 2500 \| 238 \| None \| None \| None row 9 : gh \| 35 \| 1800 \| 358 \| None \| None \| None ] Execute this SQL based on the above table: select ( select where = 'gh' ) < ( select where = 'ai' )	0
[ header: \| name on the register \| date listed \| location \| city or town \| summary row 1 : 40 \| highland park general hospital \| october 31, 1985 (#850 \| 357 glendale ave. \| highland park \| the highland park general hospital is a ] Execute this SQL based on the above table: select where name on the register = 'highland park general hospital'	40.0
[ header: year \| name of show \| episodes \| other guests \| winner(s) row 1 : 1997 \| super trio series 2: movie buff championship \| 18 \| florence kwok, jo \| charmaine sheh row 2 : 2000 \| the super trio show \| 6 \| julian cheung, calvin \| charmaine sheh, julian che row 3 : 2002 \| a trio delights \| 3 \| timmy hung, ken wong \| louis yuen row 4 : 2004 \| the super trio continues \| 7 \| michael tao, \| charmaine sheh, michael row 5 : 2007 \| foodie 2 shoes \| 19, 20 \| chin ka lok, e \| charmaine sheh, chin ka row 6 : 2008 \| super trio supreme \| 1 \| bosco wong, michael mi \| charmaine sheh, cutie mui row 7 : 2009 \| are you smarter than a 5th grade \| 05, 06 \| None \| hk$175,000 (levels 8 row 8 : 2010 \| super trio game master \| 20 \| moses chan, kenneth ma \| tie row 9 : 2011 \| all star glam exam \| 8 \| ekin cheng, eric \| charmaine sheh ] Execute this SQL based on the above table: select ( select max ( year ) ) - ( select min ( year ) )	14
[ header: position \| swara \| short name \| notation \| mnemonic row 1 : 1 \| shadja \| sa \| s \| sa row 2 : 2 \| shuddha rishabha \| ri \| r1 \| ra row 3 : 3 \| chatushruti rishabha \| ri \| r2 \| ri row 4 : 3 \| shuddha gandhara \| ga \| g1 \| ga row 5 : 4 \| shatshruti ris \| ri \| r3 \| ru row 6 : 4 \| sadharana gandhara \| ga \| g2 \| gi row 7 : 5 \| antara gandhara \| ga \| g3 \| gu row 8 : 6 \| shuddha madhyama \| ma \| m1 \| ma row 9 : 7 \| prati madhyama \| ma \| m2 \| mi row 10 : 8 \| panchama \| pa \| p \| pa row 11 : 9 \| shuddha dhaivat \| dha \| d1 \| dha row 12 : 10 \| chatushruti dhaivata \| dha \| d2 \| dhi row 13 : 10 \| shuddha nishada \| ni \| n1 \| na row 14 : 11 \| shatshruti dha \| dha \| d3 \| dhu row 15 : 11 \| kaisiki nishada \| ni \| n2 \| ni row 16 : 12 \| kakali nishada \| ni \| n3 \| nu ] Execute this SQL based on the above table: select position where position in ( 10 , 10 ) order by short name limit 418	10, 10
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| japan \| 18 \| 8 \| 8 \| 34 row 2 : 2 \| india \| 4 \| 5 \| 6 \| 15 row 3 : 3 \| philippines \| 4 \| 3 \| 3 \| 10 row 4 : 4 \| taiwan \| 2 \| 6 \| 7 \| 15 row 5 : 5 \| south korea \| 2 \| 3 \| 1 \| 6 row 6 : 6 \| thailand \| 2 \| 2 \| 0 \| 4 row 7 : 7 \| pakistan \| 2 \| 1 \| 0 \| 3 row 8 : 8 \| iran \| 2 \| 0 \| 2 \| 4 row 9 : 9 \| israel \| 1 \| 0 \| 1 \| 2 row 10 : 10 \| singapore \| 0 \| 4 \| 4 \| 8 row 11 : 11 \| malaysia \| 0 \| 3 \| 1 \| 4 row 12 : 12 \| iraq \| 0 \| 2 \| 0 \| 2 row 13 : 13 \| kampuchea \| 0 \| 0 \| 2 \| 2 row 14 : 14 \| nepal \| 0 \| 0 \| 1 \| 1 ] Execute this SQL based on the above table: select bronze where nation = 'nepal' and gold = 0	1
[ 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 party order by party desc limit 1	labour
[ header: year \| cast (nabucco, abigaille, zaccaria, ismaele, fenena) \| conductor, opera house and orchestra \| label row 1 : 1951 \| paolo silveri, caterina \| fernando previtali, orchestra \| audio cd: warner fon row 2 : 1965 \| tito gobbi, \| lamberto gardelli, vienn \| audio cd: decca cat: 4 row 3 : 1977-78 \| matteo manuguerra, renat \| riccardo muti, phil \| audio cd: emi records row 4 : 1982 \| piero cappuccilli, \| giuseppe sinopoli, \| audio cd: dg cat: row 5 : 1987 \| renato bruson, g \| riccardo muti, la \| dvd: warner cat: 5050467 row 6 : 2002 \| juan pons, maria \| james levine, metropolitan opera \| dvd: dg, live recording cat: row 7 : 2004 \| alberto gazzale, susan \| riccardo frizza, teatr \| dvd: dynamic, live recording cat: 334 row 8 : 2004 \| renato bruson, mauri \| paolo carignani, teat \| dvd: brilliant classics, live recording cat: row 9 : 2007 \| leo nucci, maria guleg \| daniel oren, arena di \| dvd: decca, live recording cat: ] Execute this SQL based on the above table: select count ( * ) ( select label group by label having count ( conductor, opera house and orchestra ) > 1394 )	0
[ header: date \| race name \| location \| uci rating \| winner \| team row 1 : 16-21 january \| la tropicale amissa bongo \| gabon \| 2.2 \| frederic guesdon (fr \| francaise des jeux row 2 : 8-14 february \| tour d'egypte \| egypt \| 2.2 \| waylon woolcock (rsa) \| south africa (national team) row 3 : 16 february \| gp of sharm el \| egypt \| 1.2 \| jan sipeky (svk) \| dukla trencin-merida row 4 : 24 february-9 march \| tour du cameroun \| cameroon \| 2.2 \| flavien chipault (fra) \| leboulou row 5 : 6-11 march \| giro del capo \| south africa \| 2.2 \| alexander efimkin (rus \| barloworld row 6 : 17-23 march \| tour of libya \| libya \| 2.2 \| ahmed mohamed ali ( \| libya (national team) row 7 : 8 april \| grand prix de la ville de tunis \| tunisia \| 1.2 \| ahmed mraihi ( \| tunisia (national team) row 8 : 28 april-5 may \| tour de la pharmacie centrale de tunisie \| tunisia \| 2.2 \| hassen ben nasser ( \| pharmacie centrale row 9 : 14-20 may \| boucle du coton \| burkina faso \| 2.2 \| saidou rouamba (bur) \| burkina faso (national row 10 : 8-17 june \| tour du maroc \| morocco \| 2.2 \| nicholas white (rsa \| south africa (national team) row 11 : 30 august-8 september \| tour du senegal \| senegal \| 2.2 \| adil jelloul (mar) \| frmc-maroc row 12 : 16 september \| dome 2 dome cycling spectacular \| south africa \| 1.2 \| jaco venter (rsa) \| team neotel ] Execute this SQL based on the above table: select count ( winner ) where uci rating < 1362	12
[ header: map or catalog \| creator \| time created \| contets \| links row 1 : shi shen astronomy (石申天文shi \| shi shen (石申) \| c. 350 b.c \| 138 constellations and the name of 810 \| [citation needed] row 2 : five star prediction device (安徽阜陽五星候占儀) \| None \| 168 bc \| also an equatorial device \| [citation needed] row 3 : eastern han celestial globe and star maps \| zhang heng (张衡) \| 117 ad \| None \| None row 4 : northern wei period iron armillary sphere \| hu lan (斛蘭) \| bei wei \| level being used in this kind of device \| None row 5 : kitora kofun 法隆寺f \| None \| c. late 7th century - early \| detailed whole sky map \| None row 6 : japanese star chart 瀧谷寺 \| None \| c. 14th or 15th centuries \| None \| None row 7 : star chart \| mao kun 茅坤 \| c. 1422 \| polaris compared with southern cross and al \| zh:郑和航海图 row 8 : ming dynasty star map \| matteo ricci 利玛窦li \| c. 1550 \| None \| None row 9 : picture depicted song dynasty \| japanese painter \| 1675 \| showing top portion of a celestial globe \| file:chinese astronomer 1675 row 10 : japanese edo period \| (渋川昔尹she chuan xi \| 1699 元禄十二年 \| including stars from wu shien ( \| None row 11 : korean star map stone \| None \| c. 17th century \| None \| None row 12 : ceramic ink sink cover \| None \| c. 17th century \| showing big dipper \| None row 13 : korean star maps, north and south \| None \| 1742 \| None \| None row 14 : north sky map 清嘉庆年间huang dao \| xu choujun 徐朝俊 \| 1807 ad \| more than 1000 stars and the 28 consellation \| None row 15 : japanese star chart \| 伊能忠誨 \| c. 19th century \| None \| None row 16 : japanese edo period \| 古筆源了材 \| 1835 天保6年 \| None \| None row 17 : japanese edo period \| 藤岡有貞 \| 1845 弘化2年 \| None \| None row 18 : japanese star chart 梅園星図 \| 高橋景保 \| None \| None \| None row 19 : korean book of new song of the \| 李俊養 \| 1862 \| star maps and a revised version of the song \| None row 20 : korean map of heaven and earth \| None \| c. 19th century \| 28 constellations and geographic map \| None row 21 : korean star chart 渾天図 \| 朴? \| None \| None \| None ] Execute this SQL based on the above table: select count ( links )	4
[ header: season \| tier \| division \| place row 1 : 1991-98 \| 5 \| regional \| None row 2 : 1998/99 \| 4 \| 3a \| 8th row 3 : 1999/00 \| 4 \| 3a \| 5th row 4 : 2000/01 \| 4 \| 3a \| 7th row 5 : 2001/02 \| 4 \| 3a \| 9th row 6 : 2002/03 \| 4 \| 3a \| 9th row 7 : 2003/04 \| 4 \| 3a \| 2nd row 8 : 2004/05 \| 4 \| 3a \| 8th row 9 : 2005/06 \| 4 \| 3a \| 6th ] Execute this SQL based on the above table: select season where season in ( '1991-98' , '2004/05' ) order by tier asc limit 1	2004/05
[ header: title \| year \| peak chart positions us \| peak chart positions us r&b \| peak chart positions us rap \| peak chart positions uk \| certifications \| album row 1 : "can't you see" (total \| 1995 \| 13 \| 3 \| None \| 43 \| riaa: gold \| total row 2 : "player's anthem" (with \| 1995 \| 13 \| 7 \| 2 \| None \| riaa: gold \| conspiracy row 3 : "this time around" (michae \| 1995 \| None \| None \| None \| None \| None \| history row 4 : "you can't stop the reign" ( \| 1996 \| None \| None \| None \| 40 \| None \| you can't stop the reign row 5 : "only you" (112 featuring the notorious \| 1996 \| 13 \| 3 \| None \| None \| riaa: gold \| 112 row 6 : "get money" (with junior m. \| 1996 \| 17 \| 4 \| 1 \| 63 \| riaa: platinum \| conspiracy row 7 : "crush on you" (lil' \| 1996 \| 6 \| None \| 1 \| 36 \| None \| hard core row 8 : "stop the gunfight" (trapp featuring \| 1997 \| 77 \| 35 \| 9 \| None \| None \| stop the gunfight row 9 : "be the realist" (trapp featuring \| 1997 \| None \| 65 \| 14 \| None \| None \| stop the gunfight row 10 : "been around the world" (puff \| 1997 \| 2 \| 7 \| 1 \| 4 \| None \| no way out row 11 : "it's all about the benja \| 1997 \| 2 \| 7 \| 1 \| 20 \| None \| no way out row 12 : "victory" (puff daddy featuring \| 1998 \| 19 \| 13 \| 2 \| None \| None \| no way out row 13 : "runnin' (dying to live \| 2004 \| 19 \| 11 \| 5 \| 17 \| None \| tupac: resurrection row 14 : "angels" (diddy-dir \| 2009 \| 116 \| 71 \| None \| None \| None \| last train to paris ] Execute this SQL based on the above table: select count ( certifications ) where peak chart positions us < 577	4
[ header: position \| swara \| short name \| notation \| mnemonic row 1 : 1 \| shadja \| sa \| s \| sa row 2 : 2 \| shuddha rishabha \| ri \| r1 \| ra row 3 : 3 \| chatushruti rishabha \| ri \| r2 \| ri row 4 : 3 \| shuddha gandhara \| ga \| g1 \| ga row 5 : 4 \| shatshruti ris \| ri \| r3 \| ru row 6 : 4 \| sadharana gandhara \| ga \| g2 \| gi row 7 : 5 \| antara gandhara \| ga \| g3 \| gu row 8 : 6 \| shuddha madhyama \| ma \| m1 \| ma row 9 : 7 \| prati madhyama \| ma \| m2 \| mi row 10 : 8 \| panchama \| pa \| p \| pa row 11 : 9 \| shuddha dhaivat \| dha \| d1 \| dha row 12 : 10 \| chatushruti dhaivata \| dha \| d2 \| dhi row 13 : 10 \| shuddha nishada \| ni \| n1 \| na row 14 : 11 \| shatshruti dha \| dha \| d3 \| dhu row 15 : 11 \| kaisiki nishada \| ni \| n2 \| ni row 16 : 12 \| kakali nishada \| ni \| n3 \| nu ] Execute this SQL based on the above table: select count ( * ) where short name = 'pa'	1
[ header: camp \| div sec division \| admin district \| 9 feb \| 11 feb \| 16 feb \| 25 feb \| 27 feb \| 2 mar \| 4 mar \| 6 mar \| 11 mar \| 13 mar \| 24 mar \| 30 mar \| 31 mar row 1 : ariviththodam sivanantha \| vengalachedikulam \| vav \| 581 \| 581 \| 581 \| 581 \| 584 \| 584 \| 585 \| 585 \| 583 \| 583 \| 601 \| 601 \| 601 row 2 : cheddikulam maha vidy \| vengalachedikulam \| vav \| 1624 \| 1624 \| 1624 \| 1965 \| 1965 \| 1965 \| 1996 \| 1996 \| 2001 \| 2001 \| 1995 \| 1995 \| 1995 row 3 : nelukkulam kala \| vavuniya \| vav \| 2829 \| 2829 \| 2829 \| 3071 \| 3084 \| 3084 \| 3084 \| 3068 \| 3068 \| 3082 \| 3101 \| 3070 \| 3070 row 4 : pampamadhu hostel school \| vavuniya \| vav \| 2779 \| 2779 \| 4181 \| 4131 \| 4131 \| 4131 \| 4131 \| 4108 \| 4108 \| 4108 \| 4178 \| 4178 \| 4178 row 5 : ponthoodam government tamil mixed school \| vavuniya \| vav \| 1351 \| 1351 \| 1351 \| 1365 \| 1310 \| 1310 \| 1310 \| 1308 \| 1308 \| 1320 \| 1327 \| 1319 \| 1319 row 6 : poonathoddam college of education \| vavuniya \| vav \| 4406 \| 4406 \| 5302 \| 5302 \| 5009 \| 5009 \| 5009 \| 5036 \| 5036 \| 5119 \| 5236 \| 5243 \| 5243 row 7 : vavuniya tamil \| vavuniya \| vav \| None \| 1200 \| 4390 \| 3838 \| 4085 \| 4085 \| 5475 \| 3540 \| 3390 \| 3390 \| 3963 \| 3969 \| 3969 row 8 : kaithady palmyra research \| thenmarachchi \| jaf \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| 357 row 9 : kodikamam government tam \| thenmarachchi \| jaf \| None \| None \| 411 \| 424 \| 503 \| 503 \| 655 \| 711 \| 706 \| 706 \| 1006 \| 1006 \| 1006 row 10 : thirunagar old court house \| jaffna \| jaf \| None \| None \| 73 \| 74 \| 49 \| 49 \| 108 \| 108 \| 113 \| 113 \| 114 \| 114 \| 140 row 11 : kalimoddai \| nanaddan \| man \| None \| None \| 445 \| 445 \| 445 \| 445 \| 445 \| 454 \| 454 \| 454 \| 454 \| 454 \| 454 row 12 : mannar district general hospital \| mannar town \| man \| None \| None \| None \| None \| 279 \| 279 \| 279 \| 279 \| 279 \| 279 \| 279 \| 279 \| 279 row 13 : sirukandal \| nanaddan \| man \| None \| None \| 357 \| 357 \| 357 \| 357 \| 357 \| 350 \| 350 \| 350 \| 350 \| 350 \| 350 row 14 : thampalakamam peripheral unit \| thampalakamam \| tri \| None \| None \| None \| 33 \| 76 \| 79 \| 77 \| 77 \| 75 \| 75 \| 35 \| 35 \| 35 row 15 : polonnaruwa general hospital \| None \| pol \| None \| None \| None \| 86 \| 171 \| 171 \| 171 \| 171 \| 171 \| 171 \| 100 \| 100 \| 92 ] Execute this SQL based on the above table: select 24 mar where camp = 'sirukandal'	350.0
[ header: frequency band \| band number \| radio interface \| generation \| status \| notes row 1 : 850 mhz \| 5 \| gsm/gprs/ \| 2g \| roaming \| not operated by t-mobile, except for row 2 : 850 mhz clr \| 5 \| umts/hspa \| 3g \| roaming \| not operated by t-mobile. after the row 3 : 1900 mhz \| 2 \| gsm/gprs/ \| 2g \| in service \| most of this spectrum will be upgraded to 4g row 4 : 1700/2100 mhz a \| 4 \| umts/dc-hspa 42 \| 4g \| in service \| has marketed 3g hspa+ as row 5 : 1900 mhz pcs \| 2 \| umts/hspa+ 21mbit \| 4g \| in service/building out \| hspa+ 21mbps on the 1900 row 6 : 1700/2100 mhz a \| 4 \| lte \| 4g \| in service/building out \| covers 210 million pops as of march, row 7 : 700 mhz block a \| 12 \| lte \| 4g \| rollout starts by q4 2014 \| spectrum acquired from verizon wireless row 8 : 1900 mhz pcs \| 2 \| lte \| 4g \| rolling out in 2014 \| None ] Execute this SQL based on the above table: select notes where id = ( select id where notes = 'most of this spectrum will be upgraded to 4g/lte networks in the next two years. (more details see 4g lte upgrade) it is unclear if that means this network will be decommissioned anytime soon, but it is possible' ) - 1	not operated by t-mobile. after the failed acquisition of t-mobile usa by at&t, part of the failed acquisition was a 7-year at&t 3g roaming agreement
[ header: rank \| circuit \| headquarters \| screens \| sites row 1 : 1 \| regal entertainment group \| knoxville,tn \| 7318 \| 574 row 2 : 2 \| amc entertainment inc \| kansas city, mo \| 4988 \| 344 row 3 : 3 \| cinemark theatres \| plano, tx \| 4434 \| 332 row 4 : 4 \| carmike cinemas, inc \| columbus, ga \| 2476 \| 249 row 5 : 5 \| cineplex entertainment \| toronto, on \| 1672 \| 136 row 6 : 6 \| marcus theatres \| milwaukee, wi \| 687 \| 55 row 7 : 7 \| harkins theatres \| phoenix, az \| 440 \| 31 row 8 : 8 \| national amusements \| dedham, ma \| 423 \| 32 row 9 : 9 \| bow tie cinemas \| ridgefield, ct \| 388 \| 63 row 10 : 10 \| georgia theatre company \| st. simon's island, \| 326 \| 32 ] Execute this SQL based on the above table: select abs ( ( select screens where headquarters = 'dedham, ma' ) - ( select screens where headquarters = 'knoxville,tn' ) )	6895.0
[ 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 name where name in ( 'wacharee ritthiwat' , 'None' ) order by result desc limit 1	wacharee ritthiwat
[ header: year \| round \| against \| score \| scorers row 1 : 1930 \| group b \| yugoslavia \| 1-2 \| preguinho row 2 : 1930 \| group b \| bolivia \| 4-0 \| moderato (2), preguinho (2) row 3 : 1934 \| round 1 \| spain \| 1-3 \| leonidas row 4 : 1938 \| round 1 \| poland \| 6-5 (aet) \| leonidas (3), romeu, row 5 : 1938 \| semi-final \| italy \| 1-2 \| romeu row 6 : 1950 \| group a \| switzerland \| 2-2 \| alfredo, baltazar row 7 : 1950 \| final round \| spain \| 6-1 \| ademir (2), jair, row 8 : 1950 \| final round \| uruguay \| 1-2 \| friaca row 9 : 1954 \| group a \| mexico \| 5-0 \| baltazar, didi, ping row 10 : 1954 \| quarter-final \| hungary \| 2-4 \| djalma santo row 11 : 1962 \| quarter-final \| england \| 3-1 \| garrincha (2), vava row 12 : 1962 \| semi-final \| chile \| 4-2 \| garrincha (2), vava (2) row 13 : 1970 \| group c \| czechoslovakia \| 4-1 \| rivelino, pele, row 14 : 1970 \| group c \| romania \| 3-2 \| pele (2), jairzinho row 15 : 1970 \| semi-final \| uruguay \| 3-1 \| clodoaldo, j row 16 : 1974 \| group b \| yugoslavia \| 0-0 \| None row 17 : 1974 \| group b \| scotland \| 0-0 \| None row 18 : 1974 \| group a round 2 \| east germany \| 1-0 \| rivelino row 19 : 1978 \| group c \| austria \| 1-0 \| roberto dinamite row 20 : 1978 \| bronze final \| italy \| 2-1 \| nelinho, dirceu row 21 : 1982 \| group f \| soviet union \| 2-1 \| socrates, eder row 22 : 1982 \| group f \| new zealand \| 4-0 \| zico (2), falcao, serg row 23 : 1982 \| group c round 2 \| argentina \| 3-1 \| zico, serginho, junior row 24 : 1986 \| group d \| spain \| 1-0 \| socrates row 25 : 1986 \| group d \| northern ireland \| 3-0 \| careca (2), josimar row 26 : 1986 \| round of 16 \| poland \| 4-0 \| socrates, josimar, e row 27 : 1986 \| quarter-final \| france \| 1-1 (aet) \| careca row 28 : 1990 \| group c \| costa rica \| 1-0 \| muller row 29 : 1994 \| final \| italy \| 0-0 (aet) \| None row 30 : 1998 \| semi-final \| netherlands \| 1-1 (aet) \| ronaldo row 31 : 2002 \| group c \| turkey \| 2-1 \| ronaldo, rivaldo row 32 : 2002 \| round of 16 \| belgium \| 2-0 \| rivaldo, ronaldo row 33 : 2002 \| quarter-final \| england \| 2-1 \| rivaldo, ronaldinho row 34 : 2010 \| round of 16 \| chile \| 3-0 \| juan, luis fabian row 35 : 2010 \| quarter-final \| netherlands \| 1-2 \| robinho ] Execute this SQL based on the above table: select count ( scorers ) where score = 577	0
[ header: heat \| time \| pos \| rider \| country row 1 : sf 1 \| 2nd race: 12.101 s 3r \| 1 \| lori-ann muenzer \| canada row 2 : sf 1 \| 1st race: 11.802 s \| 2 \| anna meares \| australia row 3 : sf 2 \| 2nd race: 11.965 s 3 \| 1 \| tamilla abassova \| russia row 4 : sf 2 \| 1st race: 11.893 s \| 2 \| svetlana grankovs \| russia ] Execute this SQL based on the above table: select country order by country limit 179	australia, canada, russia, russia
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 1995-08-06 \| kyoto, japan \| costa rica \| 3-0 \| won \| friendly row 2 : 2 \| 1995-10-24 \| tokyo, japan \| saudi arabia \| 2-1 \| won \| friendly row 3 : 3 \| 1996-12-09 \| al ain, united arab emir \| uzbekistan \| 4-0 \| won \| 1996 afc asian cup group row 4 : 4 \| 1997-03-25 \| muscat, oman \| macau \| 10-0 \| won \| 1998 fifa world cup qualification row 5 : 5 \| 1997-06-22 \| tokyo, japan \| macau \| 10-0 \| won \| 1998 fifa world cup qualification row 6 : 6 \| 1997-11-01 \| seoul, korea republic \| south korea \| 2-0 \| won \| 1998 fifa world cup qualification row 7 : 7 \| 2000-10-14 \| sidon, lebanon \| saudi arabia \| 4-1 \| won \| 2000 afc asian cup group row 8 : 8 \| 2000-10-24 \| beirut, lebanon \| iraq \| 4-1 \| won \| 2000 afc asian cup quarter row 9 : 9 \| 2000-10-24 \| beirut, lebanon \| iraq \| 4-1 \| won \| 2000 afc asian cup quarter ] Execute this SQL based on the above table: select count ( competition )	9
[ header: pos \| no. \| driver \| team \| laps \| time/retired \| grid \| laps led \| points row 1 : 2 \| 4 \| j. r. hilde \| panther racing \| 200 \| 2.1086 \| 12 \| 7 \| 44 row 2 : 3 \| 38 \| graham rahal \| chip ganassi racing \| 200 \| 5.5949 \| 29 \| 6 \| 38 row 3 : 4 \| 82 \| tony kanaan \| kv racing technology - lotus \| 200 \| 7.487 \| 22 \| 0 \| 36 row 4 : 5 \| 9 \| scott dixon (w)1 \| chip ganassi racing \| 200 \| 9.5434 \| 2 \| 73 \| 45 row 5 : 7 \| 30 \| bertrand baguette \| rahal letterman lanigan racing \| 200 \| 23.9631 \| 14 \| 11 \| 30 row 6 : 9 \| 26 \| marco andretti \| andretti autosport \| 200 \| 25.7411 \| 27 \| 0 \| 25 row 7 : 12 \| 10 \| dario franchitti (w) \| chip ganassi racing \| 200 \| 56.4167 \| 9 \| 51 \| 24 row 8 : 14 \| 12 \| will power \| team penske \| 199 \| +1 lap \| 5 \| 0 \| 26 row 9 : 15 \| 14 \| vitor meira \| a. j. foyt enterprises \| 199 \| +1 lap \| 11 \| 0 \| 19 row 10 : 17 \| 3 \| helio castroneves (w \| team penske \| 199 \| +1 lap \| 16 \| 0 \| 17 row 11 : 18 \| 44 \| buddy rice (w) \| panther racing \| 198 \| +2 laps \| 7 \| 0 \| 20 row 12 : 19 \| 19 \| alex lloyd \| dale coyne racing \| 198 \| +2 laps \| 30 \| 0 \| 15 row 13 : 20 \| 36 \| pippa mann (r) \| conquest racing \| 198 \| +2 laps \| 31 \| 0 \| 15 row 14 : 21 \| 24 \| ana beatriz \| dreyer & reinbold racing \| 197 \| +3 laps \| 32 \| 0 \| 15 row 15 : 22 \| 43 \| john andretti \| andretti autosport \| 197 \| +3 laps \| 17 \| 0 \| 16 row 16 : 24 \| 11 \| davey hamilton \| dreyer & reinbold racing \| 193 \| +7 laps \| 15 \| 0 \| 16 row 17 : 25 \| 23 \| paul tracy \| dreyer & reinbold racing \| 175 \| +25 laps \| 24 \| 0 \| 13 row 18 : 26 \| 99 \| townsend bell \| sam schmidt motorsports \| 157 \| contact \| 4 \| 0 \| 21 row 19 : 28 \| 77 \| alex tagliani \| sam schmidt motorsports \| 147 \| contact \| 1 \| 20 \| 25 row 20 : 29 \| 6 \| james hinchcliffe (r) \| newman/haas racing \| 99 \| contact \| 13 \| 0 \| 14 row 21 : 31 \| 78 \| simona de silvestro \| hvm racing \| 44 \| handling \| 23 \| 0 \| 14 row 22 : 33 \| 5 \| takuma sato \| kv racing technology - lotus \| 20 \| contact \| 10 \| 0 \| 14 ] Execute this SQL based on the above table: select count ( pos )	22
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 2001 \| asian junior championships \| bandar seri begawan, brun \| 1st \| 110 m hurdles \| 14.05 row 2 : 2002 \| world junior championships \| kingston, jamaica \| 2nd \| 110 m hurdles \| 13.58 row 3 : 2002 \| asian games \| busan, south korea \| 4th \| 110 m hurdles \| 13.92 row 4 : 2003 \| world indoor championships \| birmingham, united kingdom \| 18th (h) \| 60 m hurdles \| 7.81 row 5 : 2003 \| world championships \| paris, france \| 6th \| 110 m hurdles \| 13.55 row 6 : 2003 \| asian championships \| manila, philippines \| 1st \| 110 m hurdles \| 13.5 row 7 : 2004 \| world indoor championships \| budapest, hungary \| 17th (h) \| 60 m hurdles \| 7.75 row 8 : 2004 \| olympic games \| athens, greece \| 33rd (h) \| 110 m hurdles \| 13.68 row 9 : 2005 \| world championships \| helsinki, finland \| 9th (sf) \| 110 m hurdles \| 13.44 row 10 : 2005 \| asian championships \| incheon, south korea \| 2nd \| 110 m hurdles \| 13.44 row 11 : 2006 \| world indoor championships \| moscow, russia \| 8th (sf) \| 60 m hurdles \| 7.63 row 12 : 2006 \| asian games \| doha, qatar \| 2nd \| 110 m hurdles \| 13.28 row 13 : 2007 \| world championships \| osaka, japan \| 5th \| 110 m hurdles \| 13.19 row 14 : 2008 \| world indoor championships \| valencia, spain \| 9th (sf) \| 60 m hurdles \| 7.65 row 15 : 2008 \| olympic games \| beijing, china \| 8th (sf) \| 110 m hurdles \| 13.42 row 16 : 2009 \| asian championships \| guangzhou, china \| 2nd \| 110 m hurdles \| 13.67 row 17 : 2009 \| world championships \| berlin, germany \| 8th (sf) \| 110 m hurdles \| 13.42 row 18 : 2010 \| world indoor championships \| doha, qatar \| 16th (sf) \| 60 m hurdles \| 7.82 row 19 : 2010 \| asian games \| guangzhou, china \| 2nd \| 110 m hurdles \| 13.38 row 20 : 2011 \| asian championships \| kobe, japan \| 2nd \| 110 m hurdles \| 13.56 row 21 : 2011 \| world championships \| daegu, south korea \| 9th (sf) \| 110 m hurdles \| 13.57 row 22 : 2012 \| world indoor championships \| istanbul, turkey \| 24th (h) \| 60m hurdles \| 8.15 row 23 : 2012 \| olympic games \| london, united kingdom \| 37th (h) \| 110 m hurdles \| 13.78 ] Execute this SQL based on the above table: select abs ( ( select notes where competition = 'world championships' ) - ( select notes where competition = 'asian games' ) )	0.3699999999999992
[ header: round \| 100 yd (91 m) \| 80 yd (73 m) \| 60 yd (55 m) \| 50 yd (46 m) \| 40 yd (37 m) row 1 : york \| 6 doz \| 4 doz \| 2 doz \| None \| None row 2 : hereford \| None \| 6 doz \| 4 doz \| 2 doz \| None row 3 : st. george \| 3 doz \| 3 doz \| 3 doz \| None \| None row 4 : albion \| None \| 3 doz \| 3 doz \| 3 doz \| None row 5 : windsor \| None \| None \| 3 doz \| 3 doz \| 3 doz row 6 : new western \| 4 doz \| 4 doz \| None \| None \| None row 7 : long western \| None \| 4 doz \| 4 doz \| None \| None row 8 : western \| None \| None \| 4 doz \| 4 doz \| None row 9 : american \| None \| None \| 2 1⁄2 doz \| 2 1⁄2 doz \| 2 1⁄2 doz row 10 : new national \| 4 doz \| 2 doz \| None \| None \| None row 11 : long national \| None \| 4 doz \| 2 doz \| None \| None row 12 : national \| None \| None \| 4 doz \| 2 doz \| None row 13 : new warwick \| 2 doz \| 2 doz \| None \| None \| None row 14 : long warwick \| None \| 2 doz \| 2 doz \| None \| None row 15 : warwick \| None \| None \| 2 doz \| 2 doz \| None ] Execute this SQL based on the above table: select ( select round where 50 yd (46 m) = '4 doz' ) <= 1352	0
[ header: school year \| class a \| class aa \| class aaa \| class aaaa \| class aaaaa row 1 : 1994-95 \| menard \| van alstyne \| cameron yoe \| wichita falls \| weslaco row 2 : 1995-96 \| era \| coahoma \| colorado city \| livingston \| duncanville row 3 : 1996-97 \| sulphur bluff \| marion \| colorado city \| snyder \| duncanville row 4 : 1997-98 \| westbrook \| edgewood \| perryton \| san angelo lake view \| flower mound marcus row 5 : 1998-99 \| graford \| lindsay \| hamshire-fannett \| brownwood \| weslaco row 6 : 1999-2000 \| garden city \| keene \| giddings \| friendswood \| college station a&m consolidated row 7 : 2000-01 \| granger \| edgewood \| midland greenwood \| friendswood \| college station a&m consolidated row 8 : 2001-02 \| lazbuddie \| edgewood \| giddings \| friendswood \| pasadena dobie row 9 : 2002-03 \| rocksprings \| rosebud-lott \| pearsall \| harlingen south \| san antonio clark row 10 : 2003-04 \| lazbuddie \| wall \| hamshire-fannett \| friendswood \| klein row 11 : 2004-05 \| loop \| mount pleasant chapel hill \| llano \| sherman \| college station a&m consolidated row 12 : 2005-06 \| wellington \| centerville \| hamshire-fannett \| brownwood \| abilene cooper row 13 : 2006-07 \| springlake-earth \| crawford \| princeton \| friendswood \| college station a&m consolidated row 14 : 2007-08 \| springlake-earth \| grandview \| hamshire-fannett \| sherman \| mission sharyland row 15 : 2008-09 \| garden city \| shelbyville \| lubbock-cooper \| friendswood \| humble kingwood ] Execute this SQL based on the above table: select class aaaa where class aaaaa = 'pasadena dobie'	friendswood
[ header: album / name \| artist(s) \| label \| role/credit \| date \| chart# row 1 : summary of johnny's world \| news, kat-tun & \| johnny's entertainment, japan \| songwriter, lyricist \| april 19, 2005 \| no.1 oricon japan dvd chart gold row 2 : w (double you) \| miss love tantei \| up-front works, japan \| songwriter \| september 7, 2005 \| top 10 oricon japan single chart row 3 : v-u-densetsu \| biyuden \| up-front works, japan \| songwriter \| february 15, 2006 \| #1 oricon japan dvd chart row 4 : farewell \| van tomiko \| avex trax, japan \| songwriter, lyricist \| march 29, 2006 \| top 10 oricon japan album chart row 5 : bokunopagewomekureb \| park yong ha \| pony canyon, japan \| songwriter, lyricist \| january 1, 2007 \| #2 oricon single chart row 6 : yong ha's melody \| park yong ha \| pony canyon, japan \| songwriter \| march 21, 2007 \| top 40 oricon japan album chart row 7 : live of kat-tun "real face \| kat-tun \| johnny's entertainment, japan \| songwriter, lyricist \| april 11, 2007 \| #1 oricon japan dvd chart / platinum row 8 : horizon \| field of view yuya asa \| tokuma communication, japan \| songwriter \| april 25, 2007 \| None row 9 : hey! say! jump spring con 08 \| hey! say! jump \| johnny's entertainment, japan \| producer, songwriter, lyricist, \| february, 2008 \| None row 10 : kat-tun live tour 2008 queen of \| kat-tun \| johnny's entertainment, japan \| producer, songwriter, arranger \| january 1, 2009 \| #1 oricon japan dvd chart / gold row 11 : break the records - by you & for \| kat-tun \| johnny's entertainment, japan \| songwriter \| april 29, 2009 \| #1 oricon japan album chart / platinum row 12 : hey! say! jumptour ' \| hey! say! jump \| johnny's entertainment, japan \| producer, songwriter, lyricist \| april 29, 2009 \| #1 oricon japan dvd chart / gold row 13 : no more pain \| kat-tun \| johnny's entertainment, japan \| songwriter, producer, keyboard & programming \| june 16, 2010 \| #1 oricon japan album chart / platinum row 14 : superstar (digital single) \| 4minute \| mnet, korea \| publishing \| july 19, 2010 \| mnet tv "superstar row 15 : dekotomo dx t \| kat-tun \| johnny's entertainment, japan \| songwriter, producer, keyboard & programming \| july 2010 \| japanese cellphone「テコとも★dx」 row 16 : marry me / marry you \| kim hyun joong ( \| keyeast, korea \| producer, songwriterr, keyboards, programming \| december 15, 2011 \| None row 17 : one 4 u digital single \| a-jax \| dsp entertainment, korea \| producer, songwriter, keyboards, programming, \| june 1, 2012 \| None row 18 : kis-my-mint \| kis-my-ft2 \| johnny's entertainment, japan \| producer, songwriter, keyboards, programming \| june 26, 2012 \| #1 oricon japan dvd chart / gold ] Execute this SQL based on the above table: select album / name where artist(s) = 'park yong ha'	bokunopagewomekureba (僕の頁をめくれは), yong ha's melody
[ header: rank \| name \| height ft (m) \| floors \| year \| coordinates \| notes row 1 : 1 \| ordway building \| 404 (123) \| 28 \| 1970 \| 37°48′36′′n 122° \| tallest building in both oakland and in row 2 : 2 \| kaiser center \| 390 (119) \| 28 \| 1960 \| 37°48′32′′n 122° \| tallest building constructed in the 1960s row 3 : 4 \| 1111 broadway \| 360 (110) \| 24 \| 1990 \| 37°48′10′′n 122° \| tallest building constructed in the 1990s row 4 : 5 \| kaiser engineering building \| 336 (102) \| 25 \| 1984 \| 37°48′21′′n 122° \| None row 5 : 7= \| em harris state office building \| 328 (100) \| 22 \| 1998 \| 37°48′23′′n 122° \| None row 6 : 7= \| ronald v. dellum \| 328 (100) \| 18 \| 1994 \| 37°48′16′′n 122° \| None row 7 : 7= \| ronald v. dellum \| 328 (100) \| 18 \| 1994 \| 37°48′18′′n 122° \| None row 8 : 10 \| oakland city hall \| 320 (98) \| 14 \| 1914 \| 37°48′19′′n 122° \| tallest building constructed in the 1910s; national row 9 : 12 \| 1330 broadway \| 297 (91) \| 21 \| 1956-1959 \| 37°48′14′′n 122° \| None row 10 : 13 \| pacific bell building \| 296 (90) \| 20 \| 1985 \| 37°48′37′′n 122° \| None row 11 : 14 \| 555 city center \| 279 (85) \| 20 \| 2002 \| 37°48′13′′n 122° \| None row 12 : 15 \| park bellevue tower \| 270 (82) \| 25 \| 1969 \| 37°48′28′′n 122° \| None row 13 : 16 \| st. paul's towers \| 267 (81) \| 22 \| 1966 \| 37°48′42′′n 122° \| None row 14 : 17 \| the grand apartments \| 263 (80) \| 22 \| 2008 \| 37°48′41′′n 122° \| None row 15 : 18 \| central building \| 235 (72) \| 15 \| 1926 \| 37°48′15′′n 122° \| None row 16 : 19 \| bank of america building \| 225 (69) \| 18 \| 1907 \| 37°48′10′′n 122° \| tallest building constructed in the decade of 1900 ] Execute this SQL based on the above table: select name where id = ( select id where name = '1111 broadway' ) + 1	kaiser engineering building
[ header: name \| year built \| country \| town \| height \| remarks row 1 : glacial aerial tramway kaprun i \| 1966 \| austria \| kaprun \| 113.6 m \| the tallest pylon is on the third row 2 : mississippi aerial river transit \| 1984 \| usa \| new orleans \| 109 m \| the tallest pylon on a row 3 : torre jaume i \| 1931 \| spain \| barcelona \| 107 m \| intermediate stop of the harbour aerial tramway, also row 4 : gant hohtaelli aerial tram \| None \| switzerland \| zermatt \| 94 m \| one pylon row 5 : london emirates air line \| early 2012 \| uk \| london \| 88 m \| north main tower. river thames aerial row 6 : singapore cable car \| 1972 \| singapore \| singapore \| 88 m \| pylon i row 7 : eibsee aerial tramway \| 1962 \| germany \| garmisch-partenkirchen \| 85 m \| pylon ii row 8 : nizhny novgorod vol \| 2012 \| russia \| nizhny novgorod \| 82 m \| None row 9 : mittersill goods aerial tramway \| 1940s \| austria \| mittersill \| 80 m \| two pylons for a tramway row 10 : singapore cable car \| 1972 \| singapore \| singapore \| 80 m \| pylon ii row 11 : 3s aerial tramway \| 2004 \| austria \| kitzbuhel \| 80 m \| one pylon row 12 : torre sant sebasti \| 1931 \| spain \| barcelona \| 78 m \| terminal of harbour aerial tramway row 13 : roosevelt island tram \| 1976 \| usa \| new york city \| 76 m \| central pylon of commuter tramway row 14 : wendelstein aerial tramway \| 1970 \| germany \| bayerischzell-osterhof \| 75 m \| None row 15 : vinpearl cable car \| 2007 \| vietnam \| nha trang \| 75 m \| 7 pylons standing in the sea. row 16 : sandia peak tramway \| 1965 \| usa \| albuquerque \| 70.7 m \| pylon 1, inclined at an angle of 18 row 17 : eibsee aerial tramway \| 1962 \| germany \| garmisch-partenkirchen \| 65 m \| pylon i ] Execute this SQL based on the above table: select town group by town order by count ( * ) desc limit 1	singapore
[ header: model name \| date \| type \| thrust (kg) / power (eshp) \| fitted to row 1 : rtd-1/vdr-2 \| 1938 \| two-stage centrifugal compressor turbojet \| 500 kg estimated \| test-bed only row 2 : s-18/vdr-3 \| 1945 \| axial flow compressor turbojet \| 1,250 kg \| gu-vrd project row 3 : tr-1 \| 1946 \| 8-stage axial flow compressor turbojet \| 1,300 kg \| alekseyev i-21, ily row 4 : tr-1a \| 1947 \| 8-stage axial flow compressor turbojet \| 1,500 kg \| None row 5 : tr-2 \| 1947 \| None \| None \| projected growth version of tr-1 row 6 : tr-3 and al-5 \| 1949 \| 7-stage axial-flow turbojet \| 4,600 kg (at qualification in 1950) \| il-30, il-46, la row 7 : tr-7 \| 1950s \| supersonic compressor prototype of the al-7 \| None \| prototype for al-7 row 8 : al-7 \| 1954 \| 9-stage supersonic compressor turbojet \| 6,500 kg \| il-54, su-7b, row 9 : al-21 \| 1961 \| 14-stage axial compressor with variable stator \| 11,000 kg \| yak-38, tu-28 row 10 : al-31 \| 1976 \| twin-spool turbofan 0.6 bypass ratio \| 13,300 kg \| su-27, su-30, su-34 ] Execute this SQL based on the above table: select date where id = ( select id where date = 1949 ) + 1	1950s
[ header: year \| single \| peak chart positions us mod \| peak chart positions uk \| album row 1 : 1997 \| "automatic" \| None \| None \| losing streak row 2 : 1997 \| "dopeman" \| None \| None \| losing streak row 3 : 1997 \| "dopeman" (remix) \| None \| None \| non-album single row 4 : 1997 \| "howie j. rey \| None \| None \| non-album single row 5 : 1998 \| "history of a boring town" \| 39 \| None \| hello rockview row 6 : 2000 \| "all my best friends are metalheads" \| None \| 51 \| hello rockview row 7 : 2000 \| "all my best friends are metalheads" \| None \| None \| non-album single row 8 : 2001 \| "gainesville rock city" \| None \| 57 \| borders & boundaries row 9 : 2003 \| "she's gonna break soon" \| None \| 39 \| anthem row 10 : 2003 \| "the science of selling yourself short" \| 36 \| 78 \| anthem row 11 : 2003 \| "surrender" \| None \| None \| anthem row 12 : 2006 \| "overrated (everything is)" \| None \| 61 \| in with the out crowd row 13 : 2006 \| "the rest of my life" \| None \| 77 \| in with the out crowd row 14 : 2008 \| "does the lion city still \| None \| None \| gnv fla row 15 : 2008 \| "abandon ship" \| None \| None \| gnv fla ] Execute this SQL based on the above table: select year where album = 'anthem'	2003, 2003, 2003
[ header: month \| year \| player \| county \| club \| position row 1 : april \| 2006 \| mark foley \| limerick \| adare \| 4 row 2 : may \| 2006 \| eoin kelly \| tipperary \| mullinahone \| 15 row 3 : june \| 2006 \| joe deane \| cork \| killeagh \| 15 row 4 : august \| 2006 \| henry shefflin \| kilkenny \| ballyhale shamrocks \| 14 row 5 : september \| 2006 \| james fitzpatrick \| kilkenny \| ballyhale shamrocks \| 9 row 6 : may \| 2007 \| ronan curran \| cork \| st. finbarr's \| 6 row 7 : june \| 2007 \| ollie moran \| limerick \| ahane \| 11 row 8 : july \| 2007 \| dan shanahan \| waterford \| lismore \| 10 row 9 : august \| 2007 \| andrew o'shaughness \| limerick \| kilmallock \| 13 row 10 : september \| 2007 \| eddie brennan \| kilkenny \| graigue-ballycallan \| 13 row 11 : april \| 2008 \| shane mcgrath \| tipperary \| ballinahinch \| 9 row 12 : may \| 2008 \| david o'callaghan \| dublin \| st. mark's \| 13 row 13 : june \| 2008 \| brian o'connell \| clare \| wolfe tones \| 8 row 14 : july \| 2008 \| joe canning \| galway \| portumna \| 14 row 15 : august \| 2008 \| derek lyng \| kilkenny \| emeralds \| 9 row 16 : september \| 2008 \| eoin larkin \| kilkenny \| james stephens \| 12 row 17 : may \| 2009 \| eoin cadogan \| cork \| douglas \| 3 row 18 : june \| 2009 \| john mullane \| waterford \| de la salle \| 13 row 19 : september \| 2009 \| tommy walsh \| kilkenny \| tullaroan \| 5 row 20 : april \| 2010 \| ger farragher \| galway \| castlegar \| 8 row 21 : may \| 2010 \| ger farragher \| galway \| castlegar \| 8 row 22 : june \| 2010 \| damien hayes \| galway \| portumna \| 14 row 23 : july \| 2010 \| michael walsh \| waterford \| stradbally \| 6 row 24 : september \| 2010 \| lar corbett \| tipperary \| thurles sarsfield' \| 11 row 25 : june \| 2011 \| padraic maher \| tipperary \| thurles sarsfield' \| 6 row 26 : july \| 2011 \| lar corbett \| tipperary \| thurles sarsfield' \| 12 row 27 : september \| 2011 \| tommy walsh \| kilkenny \| tullaroan \| 5 row 28 : may \| 2012 \| willie hyland \| laois \| clough-ballacolla \| 7 row 29 : june \| 2012 \| patrick maher \| tipperary \| lorrha-dorrha \| 11 row 30 : september \| 2012 \| henry shefflin \| kilkenny \| ballyhale shamrocks \| 15 row 31 : may \| 2013 \| cahir healy \| laois \| portlaoise \| 8 row 32 : september \| 2013 \| shane o'donnell \| clare \| eire og \| 14 ] Execute this SQL based on the above table: select count ( month ) where year is null	0
[ header: week \| date \| opponent \| time \| game site \| tv \| result/score \| record \| bye row 1 : 1 \| september 6, 2007 \| indianapolis colts \| 8:30 pm edt \| rca dome \| nbc \| l 41 - 10 \| 0-1 \| row 2 : 2 \| september 16, 2007 \| tampa bay buccaneers \| 1:00 pm edt \| raymond james stadium \| fox \| l 31 - 14 \| 0-2 \| row 3 : 3 \| september 24, 2007 \| tennessee titans \| 8:30 pm edt \| louisiana superdome \| espn \| l 31 - 14 \| 0-3 \| row 4 : 4 \| None \| None \| None \| None \| None \| None \| None \| row 5 : 5 \| october 7, 2007 \| carolina panthers \| 1:00 pm edt \| louisiana superdome \| fox \| l 16 - 13 \| 0-4 \| row 6 : 6 \| october 14, 2007 \| seattle seahawks \| 8:15 pm edt \| qwest field \| nbc \| w 28 - 17 \| 1-4 \| row 7 : 7 \| october 21, 2007 \| atlanta falcons \| 1:00 pm edt \| louisiana superdome \| fox \| w 22 - 16 \| 2-4 \| row 8 : 8 \| october 28, 2007 \| san francisco 49ers \| 4:15 pm edt \| monster park \| fox \| w 31 - 10 \| 3-4 \| row 9 : 9 \| november 4, 2007 \| jacksonville jaguars \| 1:00 pm est \| louisiana superdome \| cbs \| w 41 - 24 \| 4-4 \| row 10 : 10 \| november 11, 2007 \| st. louis rams \| 1:00 pm est \| louisiana superdome \| fox \| l 37 - 29 \| 4-5 \| row 11 : 11 \| november 18, 2007 \| houston texans \| 1:00 pm est \| reliant stadium \| fox \| l 23 - 10 \| 4-6 \| row 12 : 12 \| november 25, 2007 \| carolina panthers \| 1:00 pm est \| bank of america stadium \| fox \| w 31 - 6 \| 5-6 \| row 13 : 13 \| december 2, 2007 \| tampa bay buccaneers \| 1:00 pm est \| louisiana superdome \| fox \| l 27 - 23 \| 5-7 \| row 14 : 14 \| december 10, 2007 \| atlanta falcons \| 8:30 pm est \| georgia dome \| espn \| w 34 - 14 \| 6-7 \| row 15 : 15 \| december 16, 2007 \| arizona cardinals \| 1:00 pm est \| louisiana superdome \| fox \| w 31-24 \| 7-7 \| row 16 : 16 \| december 23, 2007 \| philadelphia eagles \| 1:00 pm est \| louisiana superdome \| fox \| l 38-23 \| 7-8 \| row 17 : 17 \| december 30, 2007 \| chicago bears \| 1:00 pm est \| soldier field \| fox \| l 33-25 \| 7-9 \| ] Execute this SQL based on the above table: select abs ( ( select week where date = 'december 30, 2007' ) - ( select week where date = 'december 10, 2007' ) )	3.0
[ header: seat \| state \| majority \| member \| party row 1 : hinkler \| qld \| 0 \| paul neville \| npa row 2 : solomon \| nt \| 0.1 \| dave tollner \| lib row 3 : adelaide \| sa \| 0.2 \| hon trish worth \| lib row 4 : canning \| wa \| 0.4 \| don randall \| lib row 5 : dobell \| nsw \| 0.4 \| ken ticehurst \| lib row 6 : parramatta \| nsw \| 1.1 \| ross cameron \| lib row 7 : mcewen \| vic \| 1.2 \| fran bailey \| lib row 8 : paterson \| nsw \| 1.4 \| bob baldwin \| lib row 9 : herbert \| qld \| 1.6 \| peter lindsay \| lib row 10 : richmond \| nsw \| 1.6 \| hon larry anthony \| npa row 11 : deakin \| vic \| 1.7 \| philip barresi \| lib row 12 : eden-monaro \| nsw \| 1.7 \| gary nairn \| lib row 13 : hindmarsh \| sa \| 1.9 \| hon christine gallus \| lib ] Execute this SQL based on the above table: select count ( * ) where state < 6	0
[ header: # \| date \| opponent \| score \| win \| loss \| save \| attendance \| record row 1 : 106 \| august 2 \| pirates \| 2-3 \| rick white (4-5) \| bobby munoz (7-4) \| dan miceli (2) \| 40164 \| 51-55 row 2 : 107 \| august 3 \| pirates \| 7-0 \| danny jackson (14-5) \| steve cooke (4-10) \| none \| 36542 \| 52-55 row 3 : 108 \| august 4 \| pirates \| 1-5 \| jon lieber (6-6) \| curt schilling (1-8) \| none \| 37481 \| 52-56 row 4 : 109 \| august 5 \| expos \| 0-5 \| pedro martinez (10-5) \| david west (4-9) \| none \| 33642 \| 52-57 row 5 : 110 \| august 6 \| expos \| 3-4 (11) \| john wetteland (4-6) \| doug jones (2-4) \| jeff shaw (1) \| 41699 \| 52-58 row 6 : 111 \| august 7 \| expos \| 4-6 \| ken hill (16-5) \| bobby munoz (7-5) \| mel rojas (16) \| 45346 \| 52-59 row 7 : 112 \| august 8 \| mets \| 2-3 \| bobby j. jones (12 \| danny jackson (14-6) \| john franco (29) \| 35977 \| 52-60 row 8 : 113 \| august 9 \| mets \| 5-1 \| curt schilling (2-8) \| mike remlinger (1-5) \| none \| 31740 \| 53-60 row 9 : 114 \| august 10 \| mets \| 2-6 \| bret saberhagen ( \| david west (4-10) \| john franco (30) \| 36716 \| 53-61 row 10 : 115 \| august 11 \| mets \| 2-1 (15) \| tom edens (5-1) \| mauro gozzo (3-5) \| none \| 37605 \| 54-61 ] Execute this SQL based on the above table: select count ( record ) where attendance = 40164	1
[ header: season \| date \| jia-a/csl winner \| result \| fa cup winner \| scorers \| stadium row 1 : 1995 \| 9 december 1995 \| shanghai shenhua \| 1 - 0 \| jinan taishan ( \| fan zhiyi \| hongkou stadium, shangha row 2 : 1996 \| 9 march 1997 \| dalian wanda (now dalian \| 3 - 2 \| beijing guoan \| wang tao (2), l \| shenzhen stadium, shenzhen row 3 : 1997 \| 12 march 1998 \| dalian wanda (now dalian \| 1 - 2 aet (g \| beijing guoan \| wang tao, olivas \| wenzhou stadium, wenzhou row 4 : 1998 \| 7 march 1999 \| dalian wanda (now dalian \| 0 - 3 \| shanghai shenhua \| wu chengying, marcel \| mianyang stadium, mianyang row 5 : 1999 \| 4 march 2000 \| shandong luneng \| 2 - 4 \| liaoning fushun \| li xiaopeng, casiano \| hongkou stadium, shangha row 6 : 2000 \| 30 december 2000 \| dalian shide \| 4 - 1 \| chongqing lifan \| hao haidong, wang pe \| hongkou stadium, shangha row 7 : 2001 \| 26 february 2002 \| dalian shide \| 1 - 3 (1 - 1 / \| shanghai shenhua \| srđan bajcetic \| hongkou stadium, shangha row 8 : 2001 \| 2 march 2002 \| dalian shide \| 1 - 3 (1 - 1 / \| shanghai shenhua \| orlando (2) \| jinzhou stadium, dalian row 9 : 2002 \| 6 february 2003 \| dalian shide \| 1 - 0 \| qingdao beilaite \| hao haidong \| wuhan sports center, wu row 10 : 2003 \| 18 january 2004 \| shanghai shenhua \| 3 - 4 \| beijing hyundai ( \| zhang yuning, z \| olympic park stadium, w row 11 : 2012 \| 25 february 2012 \| guangzhou evergrande \| 2 - 1 \| tianjin teda \| cleo (2) wang xinx \| guangzhou university city stadium, gu row 12 : 2013 \| 3 march 2013 \| guangzhou evergrande \| 1 - 2 \| jiangsu sainty \| salihi krivets \| tianhe stadium, guangzhou row 13 : 2014 \| 17 february 2014 \| guangzhou evergrande \| 0 - 1 \| guizhou renhe \| sun jihai \| guizhou olympic stadium, ] Execute this SQL based on the above table: select date where id = ( select id where date = '9 december 1995' ) + 1	9 march 1997
[ header: season \| east superleague \| east premier league \| east region south division \| east region central division \| east region north division row 1 : 2006-07 \| linlithgow rose \| glenrothes \| newtongrange star \| dundonald bluebell \| forfar west end row 2 : 2007-08 \| lochee united \| bo'ness united \| fauldhouse united \| ballingry rovers \| blairgowrie row 3 : 2008-09 \| bonnyrigg rose athletic \| musselburgh athletic \| armadale thistle \| st andrews united \| montrose roselea row 4 : 2009-10 \| bo'ness united \| tayport \| broxburn athletic \| thornton hibs \| broughty athletic row 5 : 2010-11 \| bo'ness united \| st. andrews united \| sauchie juniors \| oakley united \| downfield row 6 : 2011-12 \| bonnyrigg rose athletic \| sauchie juniors \| dalkeith thistle \| jeanfield swifts \| dundee violet row 7 : 2012-13 \| linlithgow rose \| newtongrange star \| fauldhouse united \| kinnoull \| kirriemuir thistle ] Execute this SQL based on the above table: select count ( east region south division )	7
[ 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 count ( tier ) where notes = 'None'	0
[ 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 where nation != 'colombia' and bronze = 6	venezuela
[ header: club \| played \| won \| drawn \| lost \| points for \| points against \| bonus points \| points row 1 : biarritz olympique \| 26 \| 19 \| None \| 7 \| 694 \| 350 \| 14 \| 90 row 2 : stade francais \| 26 \| 19 \| None \| 7 \| 633 \| 437 \| 13 \| 89 row 3 : stade toulousain \| 26 \| 19 \| None \| 7 \| 713 \| 427 \| 12 \| 88 row 4 : usa perpignan \| 26 \| 18 \| None \| 8 \| 671 \| 398 \| 12 \| 84 row 5 : su agen \| 26 \| 15 \| None \| 11 \| 655 \| 540 \| 10 \| 70 row 6 : cs bourgoin-jal \| 26 \| 14 \| None \| 12 \| 591 \| 516 \| 11 \| 67 row 7 : castres olympique \| 26 \| 13 \| None \| 13 \| 685 \| 559 \| 14 \| 66 row 8 : asm clermont \| 26 \| 14 \| None \| 12 \| 577 \| 569 \| 7 \| 63 row 9 : ca brive \| 26 \| 10 \| 1 \| 15 \| 431 \| 553 \| 9 \| 51 row 10 : rc narbonne \| 26 \| 11 \| None \| 15 \| 533 \| 775 \| 3 \| 47 row 11 : montpellier rc \| 26 \| 9 \| 0 \| 17 \| 574 \| 659 \| 10 \| 46 row 12 : aviron bayonnais \| 26 \| 8 \| 1 \| 17 \| 514 \| 669 \| 9 \| 43 row 13 : section paloise \| 26 \| 9 \| 0 \| 17 \| 476 \| 790 \| 4 \| 40 row 14 : rc toulonnais \| 26 \| 3 \| 0 \| 23 \| 332 \| 837 \| 7 \| 19 ] Execute this SQL based on the above table: select club order by points for desc limit 1	stade toulousain
[ header: ship name \| desig \| status \| notes \| links row 1 : west virginia \| bb-48 \| sunk, floated, rebuilt by \| moored outboard of tenness \| row 2 : phoenix \| cl-46 \| undamaged \| berth c-6 \| row 3 : honolulu \| cl-48 \| minor damage from a bomb near miss \| moored at berth b \| row 4 : macdonough \| dd-351 \| undamaged \| berth x-2, nested \| row 5 : worden \| dd-352 \| undamaged \| moored berth x-2 \| row 6 : cummings \| dd-365 \| minor damage from bomb fragments \| nested at berth b-15 \| row 7 : shaw \| dd-373 \| heavily damaged, lost bow, repaired by ju \| yfd-2) \| row 8 : mugford \| dd-389 \| undamaged \| moored port side to the s \| row 9 : montgomery \| dm-17 \| undamaged \| moored in berth d \| row 10 : ramapo \| ao-12 \| undamaged \| moored in berth b \| row 11 : medusa \| ar-1 \| undamaged \| moored berth x- \| row 12 : vestal \| ar-4 \| damaged, struck by 2 bombs and adjacent to \| moored port side to the port side \| row 13 : castor \| aks-1 \| undamaged \| berthed at merry point \| row 14 : antares \| aks-3 \| undamaged, docked at hon \| operating at harbor entrance \| row 15 : keosanqua \| at-38 \| None \| operating at harbor entrance with antares \| row 16 : condor \| amc-14 \| undamaged \| returned to harbor from sweeping 0525 \| row 17 : taney \| whec-37 \| undamaged. moored in ho \| on july 25, 1941, the coast guard \| ] Execute this SQL based on the above table: select count ( * ) where ship name > ( select ship name where notes = 'on july 25, 1941, the coast guard cutter was transferred to the navy and reported for duty with the local defense forces of the 14th naval district (destroyer division 80)' )	3
[ header: station \| distance from wellington \| height above sea level (m) \| opened \| closed \| notes row 1 : tawa \| 13.58 km \| 25.6m \| 1937 \| open \| tawa flat (closed 1937) was row 2 : kenepuru \| 16.16 km \| 15m \| 1940 \| open \| None row 3 : paremata \| 21.7 km \| 2.7m \| 1885 \| open \| None row 4 : plimmerton \| 24.4 km \| 5.8m \| 1885 \| open \| None row 5 : waikanae \| 55.31 km \| 31m \| 1886 \| open \| None row 6 : ohau \| 84.95 km \| 30.7m \| 1886 \| c.1970 \| None row 7 : linton \| 124.19 km \| 18.3m \| 1886 \| closed \| None row 8 : awapuni \| 132 km \| 24.7m \| 1876 \| 1965 \| None row 9 : palmerston north \| 136.03 km \| 28m \| 1963 \| open \| None row 10 : bunnythorpe \| 144.47 km \| 55.2m \| 1876 \| closed \| None row 11 : halcombe \| 165.76 km \| 118m \| 1878 \| closed \| None row 12 : greatford \| 175.67 km \| 104.5m \| 1878 \| c.1970 \| None row 13 : cliff road \| 183.58 km \| 159.7m \| 1888 \| 1966 \| None row 14 : ohingaiti \| 222.14 km \| 279m \| 1902 \| 1975 \| None row 15 : ohotu \| 247.08 km \| 395.6m \| 1904 \| closed \| None row 16 : ngaurukehu \| 270.25 km \| 640m \| 1908 \| closed \| None row 17 : turangarere \| 274.5 km \| 702m \| 1912 \| 1972 \| None row 18 : tangiwai \| 299.49 km \| 699.5m \| 1909 \| closed \| nearest station to the tangiwai row 19 : rangataua \| 312.79 km \| 670m \| 1909 \| closed \| None row 20 : raurimu \| 358.31 km \| 589m \| 1908 \| closed \| None row 21 : owhango \| 371.89 km \| 456.6m \| 1908 \| closed \| None row 22 : taumarunui \| 397.75 km \| 171m \| 1903 \| 2012 \| None row 23 : taringamotu \| 402 km \| 172.5m \| 1903 \| 1971 \| None row 24 : okahukura \| 408.54 \| 178.3m \| 1903 \| closed \| okahukura junction in working time row 25 : waiteti \| 470.07 km \| 135m \| 1889 \| closed \| None row 26 : te kumi \| 478.56 km \| 49.6m \| 1887 \| closed \| None row 27 : otorohonga \| 494.41 km \| 37m \| 1887 \| 2012 \| reopened summer 2012 row 28 : te awamutu \| 517.02 km \| 50m \| 1880 \| 2005 \| new zealand dairy board (now font row 29 : ngaroto \| 519.92 km \| 56m \| 1880 \| 1954 \| None row 30 : ohinewai \| 582.04 km \| 10m \| 1877 \| c1968 \| None row 31 : paerata \| 633.29 km \| 45.1m \| 1875 \| 1980 \| paerata junction from 1917 row 32 : takanini \| 650.64 km \| 15.2m \| 1875 \| open \| None row 33 : puhinui \| 658.92 km \| 19.8m \| 1904 \| open \| None row 34 : middlemore \| 662.28 km \| 8.8m \| 1904 \| open \| None ] Execute this SQL based on the above table: select distance from wellington where distance from wellington in ( '494.41 km' , '312.79 km' ) group by distance from wellington order by sum ( distance from wellington - distance from wellington ) desc limit 1	494.41 km
[ header: year \| tournaments played \| cuts made \| wins \| 2nd \| 3rd \| top 10s \| best finish \| earnings (€) \| money list rank \| scoring average \| scoring rank \| rolex ranking row 1 : 2004 \| 1 \| 0 \| 0 \| 0 \| 0 \| 0 \| cut \| None \| None \| 77.5 \| None \| None row 2 : 2006 \| 1 \| 1 \| 0 \| 0 \| 0 \| 0 \| t55 \| None \| None \| 73.67 \| None \| None row 3 : 2007 \| 1 \| 1 \| 0 \| 0 \| 0 \| 0 \| t11 \| None \| None \| 71 \| None \| 647 row 4 : 2008 \| 1 \| 1 \| 0 \| 0 \| 0 \| 1 \| t10 \| None \| None \| 70.33 \| None \| 703 row 5 : 2009 \| 17 \| 14 \| 0 \| 0 \| 0 \| 1 \| t5 \| 48893 \| 35 \| 72.45 \| 37 \| 274 row 6 : 2010 \| 20 \| 14 \| 0 \| 3 \| 1 \| 7 \| t2 \| 121959 \| 12 \| 72.33 \| 35 \| 118 row 7 : 2011 \| 15 \| 13 \| 1 \| 2 \| 1 \| 6 \| 1 \| 161172 \| 8 \| 70.92 \| 13 \| 63 row 8 : 2012 \| 6 \| 3 \| 2 \| 0 \| 0 \| 2 \| 1 \| 104884 \| 13 \| 72 \| None \| 65 ] Execute this SQL based on the above table: select best finish where id = ( select id where best finish = 1 ) + 1	1
[ header: date \| time \| opponent \| site \| tv \| result \| attendance row 1 : september 5 \| 2:30 p.m \| jackson state \| davis wade stadium • starkville, \| espnu \| w 45-7 \| 54232 row 2 : september 12 \| 6:00 p.m \| at auburn \| jordan-hare stadium • auburn \| secrn \| l 24-49 \| 85269 row 3 : september 19 \| 6:00 p.m \| at vanderbilt \| vanderbilt stadium • nashville \| secrn \| w 15-3 \| 31840 row 4 : september 26 \| 11:21 a.m \| #7 lsu \| davis wade stadium • starkville, \| secn \| l 26-30 \| 53612 row 5 : october 3 \| 6:30 p.m \| #25 georgia tech \| davis wade stadium • starkville, \| css \| l 31-42 \| 50035 row 6 : october 10 \| 11:30 a.m \| houston \| davis wade stadium • starkville, \| espnu \| l 24-31 \| 48019 row 7 : october 17 \| 11:30 a.m \| at middle tennessee \| johnny "red" floyd \| espnu \| w 27-6 \| 23882 row 8 : october 24 \| 6:30 p.m \| #1 florida \| davis wade stadium • starkville, \| espn \| l 19-29 \| 57178 row 9 : october 31 \| 6:00 p.m \| at kentucky \| commonwealth stadium • lexington, \| secrn \| w 31-24 \| 67953 row 10 : november 14 \| 6:00 p.m \| #2 alabama \| davis wade stadium • starkville, \| espn \| l 3-31 \| 58103 row 11 : november 21 \| 11:21 a.m \| at arkansas \| war memorial stadium • little rock, ar \| secn \| l 21-42 \| 55634 row 12 : november 28 \| 11:21 a.m \| #25 ole miss \| davis wade stadium • starkville, \| secn \| w 41-27 \| 55365 ] Execute this SQL based on the above table: select count ( * ) where opponent = 'at middle tennessee' and attendance < 57178	1
[ header: model \| release date \| sensor res., size \| lens (35 mm equiv.) zoom, aperture \| screen size, pixels \| dimensions w (mm) × h (mm) × d (mm) \| weight \| features row 1 : s01 \| aug 22, 2012 \| 10.1 mp 3648x2736 1/2 \| 29-87 mm (3×) f \| 2.5 in 230 kpixel \| 77 × 51.2 × 17.2 \| 96 g (w/batt. \| ccd sensor, 2.5 in touch screen row 2 : s30 \| feb 1, 2012 \| 10.1 mp 3648x2736 1/3 \| 29.1-87.3 mm (3×) \| 2.7 in 230 kpixel \| 101.9 × 64.8 × 39. \| 214 g (w/batt. \| compact drop-resistant and waterproof with large buttons and row 3 : s800c \| aug 22, 2012 \| 16.0 mp 4608x3456 1/2 \| 25-250 mm (10×) f \| 3.5 in 819 kpixel \| 111.4 × 60.0 × 27.2 \| 184 g (w/batt. \| android 2.3 os, 3.5 in row 4 : s1200pj \| aug 24, 2011 \| 14.1 mp 4320x3240 1/2 \| 28-140 mm (5×) f \| 3 in 460 kpixel \| 107 × 63.4 × 22.6 \| 186 g (w/batt. \| ccd sensor, built-in project row 5 : s2600 \| None \| 14.0 mp 4320x3240 1/2 \| 26-130 mm (5×) f \| 2.7 in 230 kpixel \| 93.8 × 58.4 × \| 121 g (w/batt. \| None row 6 : s3300 \| feb 1, 2012 \| 16.0 mp 4608x3456 1/2 \| 26-156 mm (6×) f \| 2.7 in 230 kpixel \| 94.8 × 57.8 × \| 128 g (w/batt. \| None row 7 : s4300 \| feb 1, 2012 \| 16.0 mp 4608x3456 1/2 \| 26-156 mm (6×) f \| 3 in 460 kpixel \| 95.5 × 58.9 × \| 139 g (w/batt. \| None row 8 : s6400 \| aug 22, 2012 \| 16.0 mp 4608x3456 1/2 \| 25-300 mm (12×) f \| 3.0 in 460 kpixel \| 95.4 × 58.6 × \| 150 g (w/batt.) \| cmos sensor, lens-based vibration reduction row 9 : s9300 \| feb 1, 2012 \| 16.0 mp 4608x3456 1/2 \| 25-450 mm (18×) f \| 3 in 921 kpixel \| 108.7 × 62.3 × \| 215 g (w/batt. \| s9200 with built in gp ] Execute this SQL based on the above table: select dimensions w (mm) × h (mm) × d (mm) where dimensions w (mm) × h (mm) × d (mm) = '101.9 × 64.8 × 39.4'	101.9 × 64.8 × 39.4
[ header: year \| laetare medalist \| position row 1 : 1884 \| patrick charles keely \| architect row 2 : 1889 \| anna hanson dorsey \| novelist row 3 : 1890 \| william j. onahan \| organizer of the american catholic congress row 4 : 1892 \| henry f. brownson \| philosopher and author row 5 : 1899 \| mary gwendolin caldwell \| philanthropist row 6 : 1906 \| francis j. quinlan \| physician row 7 : 1908 \| james c. monaghan \| economist row 8 : 1911 \| agnes repplier \| author row 9 : 1913 \| charles george herbermann \| editor of the catholic encyclopedia row 10 : 1916 \| james joseph wals \| physician and author row 11 : 1917 \| admiral william shepherd benson \| chief of naval operations row 12 : 1922 \| charles patrick neill \| economist row 13 : 1923 \| walter george smith \| lawyer row 14 : 1924 \| charles donagh maginnis \| architect row 15 : 1925 \| albert francis zahm \| scientist row 16 : 1927 \| margaret anglin \| actress row 17 : 1932 \| stephen j. maher \| physician row 18 : 1936 \| richard reid \| journalist and lawyer row 19 : 1941 \| william thomas wals \| journalist and author row 20 : 1942 \| helen constance white \| author and teacher row 21 : 1944 \| anne o'hare mc \| journalist row 22 : 1945 \| gardiner howland shaw \| diplomat row 23 : 1947 \| william g. bruce \| publisher and civic leader row 24 : 1950 \| general joseph l. collin \| soldier row 25 : 1952 \| thomas e. murray \| member of the u.s. atomic row 26 : 1953 \| i.a. o'sh \| philanthropist row 27 : 1956 \| general alfred m. gruent \| soldier row 28 : 1958 \| frank m. folsom \| industrialist row 29 : 1964 \| phyllis mcginley \| poet row 30 : 1966 \| patrick f. & patricia car \| founders of the christian movement row 31 : 1967 \| j. peter grace \| industrialist row 32 : 1968 \| robert sargent shriver \| diplomat row 33 : 1977 \| mike mansfield \| former senate majority leader row 34 : 1979 \| helen hayes \| actress row 35 : 1980 \| thomas p. (tip) \| speaker of the house row 36 : 1982 \| john francis cardinal dearden \| archbishop emeritus of row 37 : 1984 \| john t. noonan, j \| lawyer row 38 : 1990 \| sister thea bowman (posthumously) \| educator row 39 : 1996 \| sister helen prejean \| death penalty abolitionist row 40 : 1998 \| dr. edmund \| medical ethicist and educator row 41 : 1999 \| philip gleason \| professor emeritus of history, notre row 42 : 2008 \| martin sheen \| actor row 43 : 2009 \| not awarded (see below) \| None row 44 : 2010 \| dana gioia \| former chairman of national endowment for the arts row 45 : 2011 \| sister mary scullion, r \| social advocates ] Execute this SQL based on the above table: select position where position in ( 'soldier' , 'founders of the christian movement' ) group by position order by count ( * ) desc limit 1	soldier
[ header: record \| athlete \| nation \| venue \| date \| # row 1 : 4.08 m (13 ft 41 \| sun caiyun \| china \| taiyuan, china \| 18 may 1995 \| 2 row 2 : 4.08 m (13 ft 41 \| zhong guiqing \| china \| taiyuan, china \| 18 may 1995 \| 1 row 3 : 4.13 m (13 ft \| daniela bartova \| czech republic \| wesel, germany \| 24 june 1995 \| 3 row 4 : 4.16 m (13 ft \| daniela bartova \| czech republic \| feldkirch, austria \| 14 july 1995 \| 6 row 5 : 4.18 m (13 ft \| andrea muller \| germany \| zittau, germany \| 5 august 1995 \| 1 row 6 : 4.20 m (13 ft \| daniela bartova \| czech republic \| koln, germany \| 18 august 1995 \| 8 row 7 : 4.22 m (13 ft 10 \| daniela bartova \| czech republic \| salgotarjan, hungary \| 11 september 1995 \| 10 row 8 : 4.41 m (14 ft 51 \| emma george \| australia \| perth, australia \| 28 january 1996 \| 3 row 9 : 4.42 m (14 ft 6 \| emma george \| australia \| reims, france \| 29 june 1996 \| 4 row 10 : 4.45 m (14 ft 7 \| emma george \| australia \| sapporo, japan \| 14 july 1996 \| 5 row 11 : 4.55 m (14 ft 11 \| emma george \| australia \| melbourne, australia \| 20 february 1997 \| 7 row 12 : 4.58 m (15 ft 01⁄ \| emma george \| australia \| melbourne, australia \| 14 march 1998 \| 9 row 13 : 4.59 m (15 ft 01⁄ \| emma george \| australia \| brisbane, australia \| 21 march 1998 \| 10 row 14 : 4.60 m (15 ft 1 in \| emma george \| australia \| sydney, australia \| 20 february 1999 \| 11 row 15 : i 4.63 m (15 ft \| stacy dragila \| united states \| new york city, u.s \| 2 feb 2001 \| 5 row 16 : i 4.64 m (15 ft \| svetlana feof \| russia \| dortmund, germany \| 11 february 2001 \| 1 row 17 : i 4.66 m (15 ft \| stacy dragila \| united states \| pocatello, u.s \| 17 feb 2001 \| 6 row 18 : i 4.70 m (15 ft \| stacy dragila \| united states \| pocatello, u.s \| 17 feb 2001 \| 7 row 19 : 4.81 m (15 ft 91 \| stacy dragila \| united states \| palo alto, u.s \| 9 june 2001 \| 10 row 20 : 4.82 m (15 ft 93 \| yelena isinbayeva \| russia \| gateshead, england \| 13 july 2003 \| 1 row 21 : 4.89 m (16 ft 01⁄ \| yelena isinbayeva \| russia \| birmingham, england \| 25 july 2004 \| 5 ] Execute this SQL based on the above table: select count ( venue ) where # >= 1743	0
[ header: place \| player \| country \| score \| to par row 1 : t1 \| ed sneed \| united states \| 68-67=135 \| -9 row 2 : t1 \| craig stadler \| united states \| 69-66=135 \| -9 row 3 : t3 \| raymond floyd \| united states \| 70-68=138 \| -6 row 4 : t3 \| leonard thompson \| united states \| 68-70=138 \| -6 row 5 : t5 \| miller barber \| united states \| 75-64=139 \| -5 row 6 : t5 \| tom watson \| united states \| 68-71=139 \| -5 row 7 : t5 \| joe inman \| united states \| 68-71=139 \| -5 row 8 : t8 \| seve ballesteros \| spain \| 72-68=140 \| -4 row 9 : t8 \| jack nicklaus \| united states \| 69-71=140 \| -4 row 10 : t8 \| lou graham \| united states \| 69-71=140 \| -4 ] Execute this SQL based on the above table: select country where country in ( 'united states' , 'united states' ) and to par = -4	united states, united states
[ header: name \| lifetime \| nationality \| notable as \| notes row 1 : paul iacono \| b. 1988 \| american \| actor \| g row 2 : janis ian \| b. 1951 \| american \| folk musician \| l row 3 : witi ihimaera \| b. 1944 \| new zealand \| author \| g row 4 : william inge \| 1913-1973 \| american \| playwright, novelist \| g row 5 : per imerslund \| 1912-1943 \| norwegian \| nazi socialist soldier, writer \| g row 6 : john inman \| 1935-2007 \| english \| actor \| g row 7 : daniela irasch \| b. 1983 \| austrian \| ski jumper \| l row 8 : doug ireland \| b. 1946 \| american \| journalist, blogger \| g row 9 : jim ireton \| b. ? \| american \| politician \| g row 10 : evelyn irons \| 1900-2000 \| scottish \| journalist \| l row 11 : hakan isacson \| 1958-2002 \| swedish \| intelligence agent \| g row 12 : richard isay \| b. 1934 \| american \| author, psychiatrist \| g row 13 : sharon isbin \| b. 1956 \| american \| classical musician \| l row 14 : taiga ishikawa \| b. 1974 \| japanese \| politician, activist \| g row 15 : sam irvin \| b. 1956 \| american \| director \| g row 16 : elisabeth ir \| 1880-1942 \| american \| educator, psychologist, reformer \| l row 17 : christopher isherwood \| 1904-1986 \| english \| author \| g row 18 : arturo islas \| 1938-1991 \| american \| academic \| g row 19 : maja ivarsson \| b. 1979 \| swedish \| rock musician (the sounds) \| b row 20 : george cecil ives \| 1867-1950 \| british \| poet, writer, penal reformer, gay rights \| g row 21 : james ivory \| b. 1928 \| american \| filmmaker \| g row 22 : boris izaguirre \| b. 1965 \| venezuelan \| writer \| g ] Execute this SQL based on the above table: select max ( lifetime )	b. ?
[ header: kilometers \| name \| location \| intersecting routes row 1 : 0 \| mahanayim junction \| mahanayim, near hatz \| highway 90 (israel) row 2 : 7 \| gadot junction \| gadot \| route 918 row 3 : 12 \| customs house junction \| customs office \| route 888 row 4 : 15 \| nashot junction \| northwest of katzrin \| route 9088 row 5 : 21 \| None \| golan heights \| petroleum road row 6 : 22 \| hashiryon junction \| golan heights \| route 978 row 7 : 23 \| shipon junction \| shipon (spelt) mountain \| route 9099 row 8 : 27 \| avital junction \| mount avital \| route 9881 row 9 : 28 \| zivan junction \| ein zivan \| highway 98 (israel) ] Execute this SQL based on the above table: select location where intersecting routes = 'route 9088' order by id limit 1699	northwest of katzrin
[ header: province \| capital \| area (km2) \| population \| density row 1 : azua \| azua \| 2531.77 \| 298246 \| 118 row 2 : bahoruco \| neiba \| 1282.23 \| 111269 \| 87 row 3 : barahona \| barahona \| 1739.38 \| 232818 \| 134 row 4 : dajabon \| dajabon \| 1020.73 \| 87274 \| 86 row 5 : distrito nacional \| santo domingo \| 104.44 \| 1402749 \| 13431 row 6 : duarte \| san francisco de macoris \| 1605.35 \| 338649 \| 211 row 7 : el seibo \| el seibo \| 1786.8 \| 110212 \| 62 row 8 : elias pina \| comendador \| 1426.2 \| 84632 \| 59 row 9 : espaillat \| moca \| 838.62 \| 333401 \| 398 row 10 : hato mayor \| hato mayor \| 1329.29 \| 103032 \| 78 row 11 : hermanas mirabal \| salcedo \| 440.43 \| 121887 \| 277 row 12 : independencia \| jimani \| 2006.44 \| 74583 \| 37 row 13 : la altagracia \| higuey \| 3010.34 \| 372289 \| 124 row 14 : la romana \| la romana \| 653.95 \| 344580 \| 527 row 15 : la vega \| concepcion de la vega \| 2287.24 \| 447905 \| 196 row 16 : maria trinidad sanchez \| nagua \| 1271.71 \| 195886 \| 154 row 17 : monsenor nouel \| bonao \| 992.39 \| 203183 \| 205 row 18 : monte cristi \| monte cristi \| 1924.35 \| 150833 \| 78 row 19 : monte plata \| monte plata \| 2632.14 \| 222641 \| 85 row 20 : pedernales \| pedernales \| 2074.53 \| 52165 \| 25 row 21 : peravia \| bani \| 792.33 \| 217241 \| 274 row 22 : puerto plata \| puerto plata \| 1852.9 \| 498232 \| 269 row 23 : samana \| samana \| 853.74 \| 139707 \| 164 row 24 : san cristobal \| san cristobal \| 1265.77 \| 640066 \| 506 row 25 : san jose de ocoa \| san jose de ocoa \| 855.4 \| 97640 \| 114 row 26 : san juan \| san juan de la magu \| 3569.39 \| 317293 \| 89 row 27 : san pedro de macori \| san pedro de macori \| 1255.46 \| 392911 \| 313 row 28 : sanchez ramirez \| cotui \| 1196.13 \| 248807 \| 208 row 29 : santiago \| santiago de los caballe \| 2836.51 \| 1543362 \| 544 row 30 : santiago rodriguez \| sabaneta \| 1111.14 \| 99044 \| 89 row 31 : santo domingo \| santo domingo este \| 1296.35 \| 3263053 \| 2517 row 32 : valverde \| mao \| 823.38 \| 217026 \| 264 row 33 : total \| None \| 48666.83 \| 12935223 \| 266 ] Execute this SQL based on the above table: select abs ( ( select density where density = 264 ) - ( select density where density = 59 ) )	205
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 1979 \| grandma's marathon \| duluth, united states \| 1st \| marathon \| 2:37:37 row 2 : 1980 \| grandma's marathon \| duluth, united states \| 1st \| marathon \| 2:38:35 row 3 : 1981 \| grandma's marathon \| duluth, united states \| 1st \| marathon \| 2:29:35 row 4 : 1984 \| boston marathon \| boston, united states \| 1st \| marathon \| 2:29:28 row 5 : 1984 \| olympic games \| los angeles, united states \| 5th \| marathon \| 2:28:54 row 6 : 1986 \| osaka ladies marathon \| osaka, japan \| 1st \| marathon \| 2:30:24 row 7 : 1986 \| commonwealth games \| edinburgh, scotl \| 2nd \| marathon \| 2:28:17 row 8 : 1987 \| osaka ladies marathon \| osaka, japan \| 1st \| marathon \| 2:30:40 row 9 : 1987 \| world championships \| rome, italy \| 21st \| 10,000 m \| 34:07.26 row 10 : 1988 \| olympic games \| seoul, south korea \| 33rd \| marathon \| 2:37:52 row 11 : 1989 \| osaka ladies marathon \| osaka, japan \| 1st \| marathon \| 2:30:21 row 12 : 1989 \| hokkaido marathon \| sapporo, japan \| 1st \| marathon \| 2:36:39 row 13 : 1991 \| hokkaido marathon \| sapporo, japan \| 1st \| marathon \| 2:33:20 row 14 : 1992 \| olympic games \| barcelona, spain \| 3rd \| marathon \| 2:33:59 row 15 : 1996 \| olympic games \| atlanta, united states \| 46th \| marathon \| 2:42:21 ] Execute this SQL based on the above table: select count ( notes )	15
[ header: year \| miss northern ireland \| hometown \| placement at miss world \| notes row 1 : 2012 \| tiffany brien \| belfast \| top 30 \| top 10 of beach fashion and 1st row 2 : 2011 \| finola guinnane \| drumbo \| non-finalist \| top 20 of beach beauty and top 77 of row 3 : 2010 \| lori moore \| belfast \| top 25 \| winner of sports at miss world 2010 row 4 : 2009 \| cherie gardiner \| bangor \| non-finalist \| None row 5 : 2008 \| judith wilson \| enniskillen \| non-finalist \| top 19 of talent at miss world 2008 row 6 : 2007 \| melissa patton \| belfast \| non-finalist \| None row 7 : 2006 \| catherine jean milligan \| newtownards \| top 17 \| winner of miss talent at miss world 2006 row 8 : 2005 \| lucy evangelista \| portglenone \| top 15 \| later miss united kingdom 2005 and miss universe united kingdom row 9 : 2004 \| kirsty anne gabriel stew \| enniskillen \| non-finalist \| None row 10 : 2003 \| diana sayers \| belfast \| non-finalist \| None row 11 : 2002 \| gayle williamson \| lurgan \| non-finalist \| later miss united kingdom 2002 row 12 : 2001 \| angela mccarthy \| belfast \| non-finalist \| None row 13 : 2000 \| julie lee-ann mart \| belfast \| non-finalist \| None ] Execute this SQL based on the above table: select notes where hometown = 'belfast'	top 10 of beach fashion and 1st runner-up of sports & fitness at miss world 2012, winner of sports at miss world 2010
[ header: seasons \| team \| ch.wins \| promotions \| relegations row 1 : 10 \| aurora basket jesi \| 0 \| 1 \| 1 row 2 : 10 \| andrea costa imola \| 0 \| 0 \| 3 row 3 : 9 \| nuova pallacanestro pavia \| 0 \| 0 \| 0 row 4 : 9 \| scafati basket \| 1 \| 1 \| 0 row 5 : 8 \| basket club ferrara \| 1 \| 1 \| 0 row 6 : 8 \| pallac. reggiana reggio e \| 2 \| 2 \| 0 row 7 : 7 \| novara \| 0 \| 0 \| 3 row 8 : 6 \| a.s. junior pallacane \| 1 \| 1 \| 1 row 9 : 5 \| rb montecatini terme \| 0 \| 0 \| 1 row 10 : 5 \| fabriano basket \| 0 \| 0 \| 1 row 11 : 5 \| societa veroli basket \| 0 \| 0 \| 0 row 12 : 5 \| pistoia basket 2000 \| 0 \| 0 \| 0 row 13 : 4 \| juve caserta basket \| 0 \| 1 \| 0 row 14 : 3 \| nuova sebastiani rieti \| 1 \| 1 \| 0 row 15 : 3 \| progresso castelmaggiore \| 0 \| 0 \| 0 row 16 : 3 \| orlandina basket \| 1 \| 1 \| 1 row 17 : 3 \| sutor basket montegranaro \| 0 \| 1 \| 1 row 18 : 3 \| virtus ragusa \| 0 \| 0 \| 1 row 19 : 3 \| robur basket osimo \| 0 \| 0 \| 1 row 20 : 3 \| reyer venezia \| 0 \| 1 \| 0 row 21 : 3 \| new basket brindisi \| 1 \| 2 \| 0 row 22 : 2 \| pallacanestro messina \| 0 \| 1 \| 0 row 23 : 2 \| basket trapani \| 0 \| 0 \| 1 row 24 : 2 \| basket draghi castelletto tic \| 0 \| 0 \| 0 row 25 : 2 \| pallalcesto amatori udin \| 0 \| 0 \| 0 row 26 : 2 \| unione cestistica casalpuster \| 0 \| 0 \| 0 row 27 : 2 \| basket barcellona \| 0 \| 0 \| 0 row 28 : 2 \| fulgor libertas forl \| 0 \| 0 \| 1 row 29 : 2 \| scaligera basket verona \| 0 \| 0 \| 1 row 30 : 1 \| societa sportiva basket n \| 1 \| 1 \| 0 row 31 : 1 \| centro sportivo borgomanero \| 0 \| 0 \| 0 row 32 : 1 \| teramo basket \| 1 \| 1 \| 0 row 33 : 1 \| virtus pallacanestro bo \| 0 \| 1 \| 0 row 34 : 1 \| victoria libertas pes \| 0 \| 1 \| 0 row 35 : 1 \| nuova pallacanestro vige \| 0 \| 0 \| 0 row 36 : 1 \| cestistica san sever \| 0 \| 0 \| 1 row 37 : 1 \| basket brescia leonessa \| 0 \| 0 \| 0 row 38 : 1 \| unione cestistica piacentin \| 0 \| 0 \| 0 row 39 : 1 \| ostuni basket \| 0 \| 0 \| 0 row 40 : 1 \| biancoblu basket bologna \| 0 \| 0 \| 0 ] Execute this SQL based on the above table: select team where id = ( select id where team = 'basket brescia leonessa' ) - 1	cestistica san severo
[ 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 position order by id desc limit 1	fw
[ header: date \| competition \| home team \| score \| away team \| score row 1 : 16 october 2004 \| powergen cup \| bedford \| None \| tabard \| None row 2 : 15 february 2005 \| national division one \| bedford \| 26 \| otley \| 13 row 3 : 19 february 2005 \| national division one \| bedford \| 16 \| london welsh \| 17 row 4 : 26 february 2005 \| national division one \| sedgley park \| 12 \| bedford \| 23 row 5 : 12 march 2005 \| national division one \| bedford \| 23 \| cornish pirates \| 28 row 6 : 2 april 2005 \| national division one \| bedford \| 39 \| plymouth albion \| 21 row 7 : 9 april 2005 \| national division one \| birmingham solihull \| 18 \| bedford \| 29 ] Execute this SQL based on the above table: select count ( home team ) where competition != 'powergen cup'	6
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| japan \| 5 \| 2 \| 0 \| 7 row 2 : 2 \| china \| 4 \| 3 \| 2 \| 9 row 3 : 3 \| south korea \| 0 \| 3 \| 1 \| 4 row 4 : 4 \| north korea \| 0 \| 1 \| 0 \| 1 row 5 : 5 \| chinese taipei \| 0 \| 0 \| 3 \| 3 row 6 : 5 \| thailand \| 0 \| 0 \| 3 \| 3 row 7 : total \| total \| 9 \| 9 \| 9 \| 27 ] Execute this SQL based on the above table: select nation where id = ( select id where nation = 'north korea' ) + 1	chinese taipei
[ header: year \| title \| peak chart positions swe \| peak chart positions swi \| peak chart positions uk \| album row 1 : 2003 \| "znaj da znam" \| None \| None \| None \| naj, najbolja row 2 : 2003 \| "naj, najbolja" \| None \| None \| None \| naj, najbolja row 3 : 2003 \| "gorka cokolada" \| None \| None \| None \| bez ljubavi row 4 : 2004 \| "bol do ludila" \| None \| None \| None \| bez ljubavi row 5 : 2005 \| "ponuda" \| None \| None \| None \| ponuda cds row 6 : 2005 \| "agonija" \| None \| None \| None \| agonija cds row 7 : 2005 \| "u nedelju" \| None \| None \| None \| bez ljubavi row 8 : 2006 \| "bez ljubavi" \| None \| None \| None \| bez ljubavi row 9 : 2006 \| "101" \| None \| None \| None \| bez ljubavi row 10 : 2007 \| "molitva" \| 9 \| 19 \| 112 \| molitva cds, row 11 : 2008 \| "nisam anđeo" \| None \| None \| None \| nisam anđeo row 12 : 2009 \| "sta da zaboravim" \| None \| None \| None \| anđeo row 13 : 2010 \| "jedan vidi sve" \| None \| None \| None \| anđeo ] Execute this SQL based on the above table: select album where peak chart positions swi < 'None' order by peak chart positions swi desc limit 1	molitva cds, molitva - the best of
[ header: stamp issue date \| stamp set \| #cards \| card set ref \| qty. issued row 1 : 16 may 1973 \| county cricket, 1873-1973 \| one \| phq 1 \| 20000 row 2 : 15 august 1973 \| 400th anniversary, birth of inigo \| one \| phq 2 \| 20000 row 3 : 12 september 1973 \| 19th commonwealth parliamentary conference \| one \| phq 3 \| 15200 row 4 : 14 november 1973 \| royal wedding (the princess anne) \| one \| phq 4 \| 290000 row 5 : 27 february 1974 \| british trees \| one \| phq 5 \| 16750 row 6 : 24 april 1974 \| fire service anniversary \| one \| phq 6 \| 30000 row 7 : 10 july 1974 \| medieval warriors \| four \| phq 7 \| 31750 row 8 : 9 october 1974 \| winston churchill centenary \| one \| phq 8 \| 114430 row 9 : 19 february 1975 \| bicentenary, birth j. \| one \| phq 9 \| 46250 row 10 : 23 april 1975 \| european architectural year \| three \| phq 10 \| 51000 row 11 : 11 june 1975 \| sailing \| one \| phq 11 \| 41350 row 12 : 13 august 1975 \| 150th anniversary of public railways \| four \| phq 12 \| 47500 row 13 : 22 october 1975 \| jane austen bicentenary \| four \| phq 13 \| 27330 row 14 : 28 april 1976 \| social reformers \| one \| phq 14 \| 38350 row 15 : 2 june 1976 \| american bicentenary \| one \| phq 15 \| 60950 row 16 : 30 june 1976 \| roses \| four \| phq 16 \| 34250 ] Execute this SQL based on the above table: select #cards group by #cards order by count ( * ) desc limit 1	one
[ header: year \| name \| source \| definition row 1 : c. 486 bc \| hidush \| naksh-i-rustam \| "says darius the king: by row 2 : c.400-300 bc \| hodu \| book of esther \| says "now it took place in the days of row 3 : c. 440 bc \| india \| herodotus \| "eastward of india lies a tract which row 4 : 320 ce or later \| bharatam \| vishnu purana \| "उततर यतसमदरसय हिमादरशचव दकषिणम । row 5 : c. 650 \| five indies \| xuanzang \| "the circumference of 五印 (modern row 6 : 1298 \| india the greater india the minor middle india \| marco polo \| "india the greater is that which extends row 7 : c. 1328 \| india \| friar jordanus \| "what shall i say? the great- ] Execute this SQL based on the above table: select count ( * ) where year not null	7
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 30 may 1928 \| olympic stadium (amsterdam \| mexico \| 1-0 \| 7-1 \| 1928 summer olympics row 2 : 2 \| 30 may 1928 \| olympic stadium (amsterdam \| mexico \| 3-0 \| 7-1 \| 1928 summer olympics row 3 : 3 \| 22 june 1930 \| bologna, italy \| italy \| 1-0 \| 3-2 \| friendly row 4 : 4 \| 22 june 1930 \| bologna, italy \| italy \| 3-1 \| 3-2 \| friendly row 5 : 5 \| 13 december 1931 \| dublin, ireland \| ireland \| 3-0 \| 5-0 \| friendly row 6 : 6 \| 13 december 1931 \| dublin, ireland \| ireland \| 5-0 \| 5-0 \| friendly row 7 : 7 \| 24 april 1932 \| oviedo, spain \| yugoslavia \| 1-0 \| 2-1 \| friendly row 8 : 8 \| 21 june 1933 \| madrid, spain \| bulgaria \| 8-0 \| 13-0 \| friendly row 9 : 9 \| 21 june 1933 \| madrid, spain \| bulgaria \| 12-0 \| 13-0 \| friendly row 10 : 10 \| 11 march 1934 \| madrid, spain \| portugal \| 4-0 \| 9-0 \| 1934 world cup qualifier row 11 : 11 \| 11 march 1934 \| madrid, spain \| portugal \| 6-0 \| 9-0 \| 1934 world cup qualifier row 12 : 12 \| 21 june 1934 \| firenze, italy \| italy \| 1-0 \| 1-1 \| 1934 fifa world cup row 13 : 13 \| 24 january 1935 \| madrid, spain \| bulgaria \| 1-0 \| 2-0 \| friendly row 14 : 14 \| 19 january 1936 \| madrid, spain \| austria \| 2-4 \| 4-5 \| friendly row 15 : 15 \| 19 january 1936 \| madrid, spain \| austria \| 4-4 \| 4-5 \| friendly row 16 : 16 \| 23 february 1936 \| barcelona, spain \| germany \| 1-2 \| 1-2 \| friendly ] Execute this SQL based on the above table: select ( select # order by # desc limit 1 ) - ( select # order by # asc limit 1 )	15.0
[ header: country \| 2000 \| 2001 \| 2002 \| 2003 \| 2004 \| 2005 \| 2006 \| 2007 \| 2008 \| 2009 \| 2010 \| 2011 row 1 : australia \| 160 \| 230 \| 290 \| 230 \| 200 \| 200 \| 200 \| None \| None \| None \| None \| None row 2 : brazil \| 30000 \| 22000 \| 26000 \| 29000 \| 29900 \| 35000 \| 40000 \| 57300 \| 58000 \| 58000 \| 58000 \| 58000 row 3 : canada \| 2290 \| 3200 \| 3410 \| 3280 \| 3400 \| 3310 \| 4167 \| 3020 \| 4380 \| 4330 \| 4420 \| 4400 row 4 : congo d.r \| None \| 50 \| 50 \| 13 \| 52 \| 25 \| None \| None \| None \| None \| None \| None row 5 : mozambique \| None \| None \| 5 \| 34 \| 130 \| 34 \| 29 \| None \| None \| None \| None \| None row 6 : nigeria \| 35 \| 30 \| 30 \| 190 \| 170 \| 40 \| 35 \| None \| None \| None \| None \| None row 7 : rwanda \| 28 \| 120 \| 76 \| 22 \| 63 \| 63 \| 80 \| None \| None \| None \| None \| None row 8 : world \| 32600 \| 25600 \| 29900 \| 32800 \| 34000 \| 38700 \| 44500 \| 60400 \| 62900 \| 62900 \| 62900 \| 63000 ] Execute this SQL based on the above table: select count ( country ) where 2008 < 257	0
[ header: year \| round \| against \| score \| scorers row 1 : 1930 \| group b \| yugoslavia \| 1-2 \| preguinho row 2 : 1930 \| group b \| bolivia \| 4-0 \| moderato (2), preguinho (2) row 3 : 1934 \| round 1 \| spain \| 1-3 \| leonidas row 4 : 1938 \| round 1 \| poland \| 6-5 (aet) \| leonidas (3), romeu, row 5 : 1938 \| semi-final \| italy \| 1-2 \| romeu row 6 : 1950 \| group a \| switzerland \| 2-2 \| alfredo, baltazar row 7 : 1950 \| final round \| spain \| 6-1 \| ademir (2), jair, row 8 : 1950 \| final round \| uruguay \| 1-2 \| friaca row 9 : 1954 \| group a \| mexico \| 5-0 \| baltazar, didi, ping row 10 : 1954 \| quarter-final \| hungary \| 2-4 \| djalma santo row 11 : 1962 \| quarter-final \| england \| 3-1 \| garrincha (2), vava row 12 : 1962 \| semi-final \| chile \| 4-2 \| garrincha (2), vava (2) row 13 : 1970 \| group c \| czechoslovakia \| 4-1 \| rivelino, pele, row 14 : 1970 \| group c \| romania \| 3-2 \| pele (2), jairzinho row 15 : 1970 \| semi-final \| uruguay \| 3-1 \| clodoaldo, j row 16 : 1974 \| group b \| yugoslavia \| 0-0 \| None row 17 : 1974 \| group b \| scotland \| 0-0 \| None row 18 : 1974 \| group a round 2 \| east germany \| 1-0 \| rivelino row 19 : 1978 \| group c \| austria \| 1-0 \| roberto dinamite row 20 : 1978 \| bronze final \| italy \| 2-1 \| nelinho, dirceu row 21 : 1982 \| group f \| soviet union \| 2-1 \| socrates, eder row 22 : 1982 \| group f \| new zealand \| 4-0 \| zico (2), falcao, serg row 23 : 1982 \| group c round 2 \| argentina \| 3-1 \| zico, serginho, junior row 24 : 1986 \| group d \| spain \| 1-0 \| socrates row 25 : 1986 \| group d \| northern ireland \| 3-0 \| careca (2), josimar row 26 : 1986 \| round of 16 \| poland \| 4-0 \| socrates, josimar, e row 27 : 1986 \| quarter-final \| france \| 1-1 (aet) \| careca row 28 : 1990 \| group c \| costa rica \| 1-0 \| muller row 29 : 1994 \| final \| italy \| 0-0 (aet) \| None row 30 : 1998 \| semi-final \| netherlands \| 1-1 (aet) \| ronaldo row 31 : 2002 \| group c \| turkey \| 2-1 \| ronaldo, rivaldo row 32 : 2002 \| round of 16 \| belgium \| 2-0 \| rivaldo, ronaldo row 33 : 2002 \| quarter-final \| england \| 2-1 \| rivaldo, ronaldinho row 34 : 2010 \| round of 16 \| chile \| 3-0 \| juan, luis fabian row 35 : 2010 \| quarter-final \| netherlands \| 1-2 \| robinho ] Execute this SQL based on the above table: select count ( score ) where round = 'quarter-final'	5
[ 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 ( select name of kingdom where capital = 'sidhmukh' ) > ( select name of kingdom where capital = 'luddi' )	0
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 22 june 2008 \| addis abeba \| mauritania \| 6-1 \| win \| 2010 wc qualification row 2 : 2 \| 30 november 2009 \| nairobi \| djibouti \| 5-0 \| win \| 2009 cecafa cup row 3 : 3 \| 8 october 2011 \| addis abeba \| madagascar \| 4-2 \| win \| 2012 caf qualification row 4 : 4 \| 2 december 2011 \| dar es salaam \| malawi \| 1-1 \| draw \| 2011 cecafa cup row 5 : 5 \| 17 june 2012 \| cotonou \| benin \| 1-1 \| draw \| 2013 africa cup of nations qualifier row 6 : 6 \| 8 september 2012 \| khartoum \| sudan \| 3-5 \| loss \| 2013 africa cup of nations qualifier row 7 : 7 \| 14 september 2012 \| addis abeba \| sudan \| 2-0 \| win \| 2013 africa cup of nations qualifier row 8 : 8 \| 21 january 2013 \| nelspruit \| zambia \| 1-1 \| draw \| 2013 africa cup of nations ] Execute this SQL based on the above table: select date where date != '8 october 2011' and venue = ( select venue where date = '8 october 2011' )	22 june 2008, 14 september 2012
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| united states \| 12 \| 13 \| 6 \| 31 row 2 : 2 \| russia \| 10 \| 5 \| 6 \| 21 row 3 : 3 \| australia \| 8 \| 12 \| 6 \| 26 row 4 : 4 \| china \| 7 \| 4 \| 8 \| 19 row 5 : 5 \| germany \| 5 \| 6 \| 5 \| 16 row 6 : 6 \| japan \| 3 \| 3 \| 3 \| 9 row 7 : 7 \| netherlands \| 3 \| 2 \| 2 \| 7 row 8 : 8 \| great britain \| 2 \| 3 \| 3 \| 8 row 9 : 9 \| ukraine \| 2 \| 3 \| 2 \| 7 row 10 : 10 \| italy \| 2 \| 2 \| 1 \| 5 row 11 : 11 \| canada \| 2 \| 0 \| 1 \| 3 row 12 : 12 \| hungary \| 1 \| 4 \| 1 \| 6 row 13 : 13 \| spain \| 1 \| 2 \| 3 \| 6 row 14 : 14 \| poland \| 1 \| 1 \| 0 \| 2 row 15 : 15 \| france \| 1 \| 0 \| 2 \| 3 row 16 : 16 \| finland \| 1 \| 0 \| 1 \| 2 row 17 : 17 \| belarus \| 1 \| 0 \| 0 \| 1 row 18 : 18 \| czech republic \| 0 \| 2 \| 0 \| 2 row 19 : 19 \| slovakia \| 0 \| 1 \| 1 \| 2 row 20 : 20 \| denmark \| 0 \| 1 \| 0 \| 1 row 21 : 20 \| croatia \| 0 \| 1 \| 0 \| 1 row 22 : 22 \| romania \| 0 \| 0 \| 2 \| 2 row 23 : 23 \| bulgaria \| 0 \| 0 \| 1 \| 1 row 24 : 23 \| mexico \| 0 \| 0 \| 1 \| 1 row 25 : 23 \| serbia and montenegro \| 0 \| 0 \| 1 \| 1 row 26 : 23 \| south africa \| 0 \| 0 \| 1 \| 1 row 27 : 23 \| sweden \| 0 \| 0 \| 1 \| 1 row 28 : 23 \| tunisia \| 0 \| 0 \| 1 \| 1 row 29 : total \| total \| 62 \| 65 \| 59 \| 186 ] Execute this SQL based on the above table: select count ( * ) where nation = 'total'	1
[ header: week \| room \| winning couple \| 2nd couple \| 3rd couple \| chumps row 1 : 1 \| guest bedroom 1 \| alisa and lysandra \| kyal and kara/brad \| chantelle and steve \| None row 2 : 2 \| downstairs bathrooms, laundry & terrace \| brad and dale \| alisa and lysandra \| chantelle and steve \| kyal and kara row 3 : 3 \| guest bedroom 2 \| kyal and kara \| chantalle and steve \| alisa and lysandra \| brad and dale row 4 : 4 \| upstairs bathroom \| kyal and kara \| brad and dale \| chantelle and steve \| alisa and lysandra row 5 : 5 \| kitchen \| alisa and lysandra \| kyal and kara \| brad and dale \| chantelle and steve row 6 : 6 \| living room and dining room \| chantelle and steve \| alisa and lysandra \| brad and dale / kyal \| None row 7 : 7 \| master bedroom and ensuite \| brad and dale \| chantelle and steve \| alisa and lysandra \| kyal and kara row 8 : 8 \| rooftop/outside terrace \| kyal and kara \| brad and dale \| alisa and lysandra \| chantelle and steve ] Execute this SQL based on the above table: select chumps where id = ( select id where chumps = 'brad and dale' ) + 1	alisa and lysandra
[ header: # \| date \| venue \| opponent \| result \| competition \| scored row 1 : 1 \| 5 march 2002 \| lagos \| sweden \| 3-6 \| algarve cup \| 1 row 2 : 2 \| 22 september 2002 \| st andrew's, \| iceland \| 1-0 \| 2003 fifa world cup qual \| 1 row 3 : 3 \| 21 october 2003 \| kryoia soveto, \| russia \| 2-2 \| friendly \| 1 row 4 : 4 \| 14 november 2003 \| deepdale, preston \| scotland \| 5-0 \| friendly \| 1 row 5 : 5 \| 16 september 2004 \| sportpark de wending, heer \| netherlands \| 2-1 \| friendly \| 1 row 6 : 6 \| 17 february 2005 \| national hockey stadium, milton keynes \| italy \| 4-1 \| friendly \| 1 row 7 : 7 \| 9 march 2005 \| faro \| portugal \| 4-0 \| algarve cup \| 1 row 8 : 8 \| 21 april 2005 \| prenton park, tranmere \| scotland \| 2-1 \| friendly \| 1 row 9 : 9 \| 5 june 2005 \| city of manchester stadium, manchester \| finland \| 3-2 \| 2005 uefa championship \| 1 row 10 : 10 \| 1 september 2005 \| ertl-glas-stadi \| austria \| 4-1 \| 2007 fifa world cup qual \| 1 ] Execute this SQL based on the above table: select competition order by scored desc limit 1	algarve cup
[ header: location \| building \| year \| km \| monument row 1 : bischofsheim \| station building \| 1958 \| 8.25 \| row 2 : russelsheim \| linesmen house \| 1863 \| 12.8 \| row 3 : raunheim \| station building \| 1863 \| 15.87 \| row 4 : raunheim \| linesmen house \| 1863 \| 17.39 \| row 5 : kelsterbach \| rail bridge \| 1863 \| 21.75 \| row 6 : kelsterbach \| linesmen house \| 1863 \| 23.6 \| row 7 : kelsterbach \| station building \| 1863 \| 23.81 \| row 8 : stadion \| station building \| 1879 \| 31.37 \| row 9 : niederrad \| station building \| 1882 \| 33.19 \| row 10 : sachsenhausen \| rail bridge \| 1864 \| 34.47 \| ] Execute this SQL based on the above table: select ( select km where location = 'raunheim' ) - ( select km where location = 'kelsterbach' )	-5.880000000000001
[ header: census year \| census year \| 2001 \| 2006 \| 2011 row 1 : population \| estimated residents on census night \| 58,319 \| 63,605 \| 67,356 row 2 : population \| lga rank in terms of size within \| None \| 19 \| None row 3 : population \| % of new south wales population \| None \| None \| 0.97% row 4 : population \| % of australian population \| 0.31% \| 0.32% \| 0.31% row 5 : cultural and language diversity \| cultural and language diversity \| None \| None \| None row 6 : ancestry, top responses \| english \| None \| None \| 20.5% row 7 : ancestry, top responses \| australian \| None \| None \| 18.3% row 8 : ancestry, top responses \| chinese \| None \| None \| 14.5% row 9 : ancestry, top responses \| irish \| None \| None \| 7.4% row 10 : ancestry, top responses \| scottish \| None \| None \| 5.6% row 11 : language, top responses (other than english) \| cantonese \| 6.7% \| 7.6% \| 7.5% row 12 : language, top responses (other than english) \| mandarin \| 3.6% \| 5.5% \| 7.2% row 13 : language, top responses (other than english) \| korean \| 1.7% \| 2.7% \| 3.6% row 14 : language, top responses (other than english) \| japanese \| 2.4% \| 2.4% \| 2.3% row 15 : language, top responses (other than english) \| armenian \| n/c \| 1.4% \| 1.3% row 16 : religious affiliation \| religious affiliation \| None \| None \| None row 17 : religious affiliation, top responses \| no religion \| 18.6% \| 22.0% \| 27.6% row 18 : religious affiliation, top responses \| catholic \| 26.1% \| 25.5% \| 25.0% row 19 : religious affiliation, top responses \| anglican \| 19.5% \| 17.6% \| 15.6% row 20 : religious affiliation, top responses \| buddhism \| 3.7% \| 4.4% \| 4.6% row 21 : religious affiliation, top responses \| presbyterian and reformed \| n/c \| n/c \| 3.1% row 22 : median weekly incomes \| median weekly incomes \| None \| None \| None row 23 : personal income \| median weekly personal income \| None \| a$728 \| a$858 row 24 : personal income \| % of australian median income \| None \| 156.2% \| 148.7% row 25 : family income \| median weekly family income \| None \| a$1,667 \| a$2,479 row 26 : family income \| % of australian median income \| None \| 162.3% \| 167.4% row 27 : household income \| median weekly household income \| None \| a$2,066 \| a$1,996 row 28 : household income \| % of australian median income \| None \| 176.4% \| 161.8% ] Execute this SQL based on the above table: select 2001 where 2011 > 118 and 2011 < 1992	19.5%
[ header: no. \| player \| birth date \| weight \| height \| position \| current club row 1 : 4 \| ardo kreek \| august 7, 1986 (age 27) \| 96 \| 203 \| middle blocker \| paris volley row 2 : 5 \| kert toobal \| june 3, 1979 (age 35) \| 78 \| 189 \| setter \| sivas 4 eylul row 3 : 6 \| martti juhkami \| june 6, 1988 (age 26) \| 96 \| 196 \| spiker \| tv buhl row 4 : 7 \| argo meresaar \| january 13, 1980 (age 34) \| 107 \| 206 \| opposite \| bigbank tartu row 5 : 8 \| kusti nolvak \| november 6, 1991 (age 22) \| 81 \| 186 \| setter \| ttu vk row 6 : 9 \| robert taht \| august 15, 1993 (age 20) \| 80 \| 190 \| spiker \| bigbank tartu row 7 : 11 \| oliver venno \| may 23, 1990 (age 24) \| 105 \| 210 \| opposite \| rennes volley 35 row 8 : 14 \| rait rikberg \| august 30, 1982 (age 31) \| 80 \| 174 \| libero \| bigbank tartu row 9 : 16 \| edgar jarvekulg \| june 12, 1988 (age 26) \| 77 \| 186 \| libero \| parnu vk row 10 : 17 \| siim ennemuist \| december 5, 1989 (age 24) \| 89 \| 196 \| middle blocker \| ttu vk row 11 : 18 \| jaanus nommsalu \| january 19, 1981 (age 33) \| 94 \| 200 \| spiker \| ttu vk row 12 : 19 \| andri aganits \| september 7, 1993 (age 20) \| 99 \| 207 \| middle blocker \| tv buhl ] Execute this SQL based on the above table: select position where no. = ( select no. where position = 'opposite' ) - 1	spiker
[ 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 rank# where id = ( select id where attendance = 60477 and attendance = 60477 ) - 1	#2
[ header: date \| venue \| opponent \| result \| tournament \| scored row 1 : 10 february 2008 \| craven park \| st. helens \| 24-22 \| super league xiii \| 1 row 2 : 24 march 2008 \| jjb stadium \| wigan warriors \| 18-12 \| super league xiii \| 1 row 3 : 13 april 2008 \| craven park \| bradford bulls \| 20-18 \| super league xiii \| 1 row 4 : 21 june 2008 \| craven park \| wakefield trinity wildcats \| 18-26 \| super league xiii \| 1 row 5 : 8 march 2009 \| craven park \| wakefield trinity wildcats \| 31-18 \| super league xiv \| 1 row 6 : 15 march 2009 \| craven park \| crusaders \| 48-18 \| super league xiv \| 3 row 7 : 3 may 2009 \| murrayfield stadium \| warrington wolves \| 28-36 \| super league xiv \| 1 row 8 : 20 june 2009 \| brewery field \| crusaders \| 18-32 \| super league xiv \| 2 row 9 : 21 august 2009 \| the willows \| salford city reds \| 10-14 \| super league xiv \| 1 row 10 : 5 september 2009 \| craven park \| warrington wolves \| 40-16 \| super league xiv \| 3 row 11 : 12 september 2009 \| belle vue \| wakefield trinity wildcats \| 24-10 \| super league xiv \| 1 row 12 : 7 february 2010 \| craven park \| salford city reds \| 30-12 \| super league xv \| 1 row 13 : 16 may 2010 \| craven park \| crusaders \| 54-10 \| super league xv \| 2 row 14 : 21 may 2010 \| knowsley road \| st. helens \| 68-12 \| super league xv \| 1 row 15 : 20 june 2010 \| craven park \| harlequins rl \| 42-6 \| super league xv \| 2 row 16 : 25 june 2010 \| galpharm stadium \| huddersfield giants \| 16-16 \| super league xv \| 1 row 17 : 4 july 2010 \| belle vue \| wakefield trinity wildcats \| 14-46 \| super league xv \| 1 row 18 : 15 july 2010 \| kc stadium \| hull \| 20-16 \| super league xv \| 1 row 19 : 24 july 2010 \| craven park \| bradford bulls \| 49-24 \| super league xv \| 2 row 20 : 15 august 2010 \| the willows \| salford city reds \| 18-44 \| super league xv \| 2 row 21 : 13 february 2011 \| millennium stadium \| hull \| 22-34 \| super league xv \| 1 row 22 : 20 february 2011 \| halliwell jones stadium \| warrington wolves \| 24-22 \| super league \| 2 row 23 : 7 march 2011 \| the jungle \| castleford tigers \| 27-14 \| super league \| 1 row 24 : 25 june 2011 \| twickenham stoop \| harlequins rl \| 0-34 \| super league \| 1 ] Execute this SQL based on the above table: select tournament where date = '13 april 2008'	super league xiii
[ header: date \| sub \| flight \| dead \| hurt \| pax. \| type \| perpetrator \| description row 1 : 27-jun-76 \| \| air france - 193 tl \| 4 \| 10 \| 260 \| hijacking -- hostage taking (8 days) \| pflp-eo (palestinian \| -hijacking in israeli row 2 : 23-nov-85 \| \| egypt air - 6 \| 58 \| 20 \| 95 \| hijacking -- hostage taking (2 days) \| abu nidal organisation \| -hijacking in greek air ] Execute this SQL based on the above table: select count ( perpetrator ) where dead > 58	0
[ header: title \| album details \| peak chart positions us \| peak chart positions us r&b \| certifications row 1 : can-i-bus \| released: september 8, 1998 label: universal format \| 2 \| 2 \| riaa: gold row 2 : 2000 b.c. (before can- \| released: july 18, 2000 label: universal \| 23 \| 6 \| None row 3 : c! true hollywood stories \| released: november 13, 2001 label: archives \| None \| 71 \| None row 4 : mic club: the curriculum \| released: november 19, 2002 label: mic \| None \| None \| None row 5 : rip the jacker \| released: july 22, 2003 label: baby \| 194 \| 34 \| None row 6 : mind control \| released: june 21, 2005 label: to \| None \| 79 \| None row 7 : hip-hop for sale \| released: november 22, 2005 label: baby \| None \| None \| None row 8 : for whom the beat tolls \| released: june 5, 2007 label: mic \| None \| None \| None row 9 : melatonin magik \| released: february 2, 2010 label: war \| None \| 91 \| None row 10 : c of tranquility \| released: october 5, 2010 label \| None \| 70 \| None row 11 : lyrical law \| released: june 24, 2011 label: can \| None \| None \| None ] Execute this SQL based on the above table: select count ( peak chart positions us r&b ) where peak chart positions us r&b = 0 and peak chart positions us r&b = 0	0
[ header: model \| availability \| introduced \| length of use \| last of whiteness row 1 : crest whitestrips classic previously crest \| discontinued \| may 2001 \| 14 days \| 12 months row 2 : crest whitestrips professional \| discontinued \| 2001 \| 10 days \| 12 months row 3 : crest whitestrips supreme \| dentist and online \| september 2003 \| 21 days \| 18 months row 4 : crest whitestrips premium \| discontinued \| january 2004 \| 7 days \| 12 months row 5 : crest whitestrips pro previously crest \| discontinued \| april 2005 \| 10 days \| 18 months row 6 : crest whitestrips renewal \| discontinued \| january 2006 \| 10 days \| 18 months row 7 : crest whitestrips daily multicare \| discontinued \| march 2007 \| daily \| white after using system row 8 : crest whitestrips advanced seal \| discontinued \| february 2009 \| 14 days \| 18 months row 9 : crest whitestrips 3d vivid \| instore and online \| 2009 \| 10 days \| 12 months row 10 : crest whitestrips 3d advanced vivid \| instore and online \| march 2010 \| 14 days \| 12 months row 11 : crest whitestrips 3d professional effects \| instore and online \| march 2010 \| 20 days \| 12 months row 12 : crest 3d white 2 hour express \| instore and online \| 2010 \| 2 hours \| 3 months row 13 : crest 3d intensive professional effects \| instore and online \| 2011 \| 7 days \| 12 months ] Execute this SQL based on the above table: select length of use where availability = 'discontinued'	14, 10, 7, 10, 10, 14
[ header: # \| date \| visitor \| score \| home \| record \| pts row 1 : 1 \| december 21 \| ottawa senators \| 5-2 \| montreal canadiens \| 1-0-0 \| 2 row 2 : 2 \| december 26 \| toronto arenas \| 2-5 \| ottawa senators \| 2-0-0 \| 4 row 3 : 3 \| december 31 \| ottawa senators \| 2-4 \| toronto arenas \| 2-1-0 \| 4 row 4 : 4 \| january 2 \| montreal canadiens \| 2-7 \| ottawa senators \| 3-1-0 \| 6 row 5 : 5 \| january 4 \| ottawa senators \| 2-5 \| montreal canadiens \| 3-2-0 \| 6 row 6 : 6 \| january 9 \| toronto arenas \| 2-4 \| ottawa senators \| 4-2-0 \| 8 row 7 : 7 \| january 14 \| ottawa senators \| 2-5 \| toronto arenas \| 4-3-0 \| 8 row 8 : 8 \| january 16 \| montreal canadiens \| 10-6 \| ottawa senators \| 4-4-0 \| 8 row 9 : 9 \| january 18 \| ottawa senators \| 3-5 \| montreal canadiens \| 4-5-0 \| 8 row 10 : 10 \| january 23 \| toronto arenas \| 2-3 \| ottawa senators \| 5-5-0 \| 10 row 11 : 11 \| january 25 \| ottawa senators \| 1-0 \| montreal canadiens \| 1-0-0 \| 2 row 12 : 12 \| january 28 \| ottawa senators \| 2-1 \| toronto arenas \| 2-0-0 \| 4 row 13 : 13 \| january 30 \| montreal canadiens \| 2-3 \| ottawa senators \| 3-0-0 \| 6 row 14 : 14 \| february 6 \| toronto arenas \| 1-3 \| ottawa senators \| 4-0-0 \| 8 row 15 : 15 \| february 8 \| ottawa senators \| 3-4 \| montreal canadiens \| 4-1-0 \| 18 row 16 : 16 \| february 13 \| montreal canadiens \| 0-7 \| ottawa senators \| 5-1-0 \| 10 row 17 : 17 \| february 18 \| ottawa senators \| 4-3 \| toronto arenas \| 6-1-0 \| 12 row 18 : 18 \| february 20 \| toronto arenas \| 3-9 \| ottawa senators \| 7-1-0 \| 14 ] Execute this SQL based on the above table: select record where record = 1	1-0-0, 1-0-0
[ 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 ( select count ( * ) where home = 'None' ) > 624	0
[ header: series \| launch date \| finale date \| days \| housemates \| winner \| main presenter \| grand prize \| liveshow audience millions row 1 : grande fratello 1 \| 14 september 2000 \| 21 december 2000 \| 99 \| 10 \| cristina plevani \| daria bignardi \| £250,000,000 (nowadays €12 \| 9.82 row 2 : grande fratello 2 \| 20 september 2001 \| 20 december 2001 \| 92 \| 16 \| flavio montrucchio \| daria bignardi \| £250,000,000 (nowadays €12 \| 8 row 3 : grande fratello 3 \| 30 january 2003 \| 8 may 2003 \| 99 \| 16 \| floriana secondi \| barbara d'urso \| €241,000 (reduced from €300 \| 8 row 4 : grande fratello 4 \| 22 january 2004 \| 6 may 2004 \| 106 \| 15 \| serena garitta \| barbara d'urso \| €300,000 \| 8.44 row 5 : grande fratello 5 \| 23 september 2004 \| 2 december 2004 \| 71 \| 17 \| jonathan kashanian \| barbara d'urso \| €250,000 \| 6.86 row 6 : grande fratello 6 \| 19 january 2006 \| 27 april 2006 \| 99 \| 18 \| augusto de megni \| alessia marcuzzi \| €900,000 (reduced from € \| 6.51 row 7 : grande fratello 7 \| 18 january 2007 \| 19 april 2007 \| 92 \| 19 \| milo coretti \| alessia marcuzzi \| €500,000 \| 5.57 row 8 : grande fratello 8 \| 21 january 2008 \| 21 april 2008 \| 92 \| 21 \| mario ferretti \| alessia marcuzzi \| €500,000 \| 5.46 row 9 : grande fratello 9 \| 12 january 2009 \| 20 april 2009 \| 99 \| 23 \| ferdi berisa \| alessia marcuzzi \| €300,000 \| 6.63 row 10 : grande fratello 10 \| 26 october 2009 \| 8 march 2010 \| 134 \| 26 \| mauro marin \| alessia marcuzzi \| €250,000 \| 6.16 row 11 : grande fratello 11 \| 18 october 2010 \| 18 april 2011 \| 183 \| 35 \| andrea cocco \| alessia marcuzzi \| €300,000 (extended from €2 \| 5.43 row 12 : grande fratello 12 \| 24 october 2011 \| 1 april 2012 \| 161 \| 36 \| sabrina mbarek \| alessia marcuzzi \| €240,000 (reduced from €2 \| 3.85 row 13 : grande fratello 13 \| 3 march 2014 \| early june \| 92 \| 15 \| None \| alessia marcuzzi \| €250,000 \| None ] Execute this SQL based on the above table: select count ( * )	13
[ header: material \| formula \| refractive index(es) 589.3 nm \| dispersion 431 - 687 nm \| hardness (mohs' scale) \| density (g/cm3) \| thermal cond. \| state of the art row 1 : diamond \| c \| 2.417 \| 0.044 \| 10 \| 3.52 \| excellent \| (natural) row 2 : glasses \| silica with pb, al, \| ~ 1.6 \| > 0.020 \| < 6 \| 2.4 - 4.2 \| poor \| 1700 - row 3 : white sapphire \| al2o3 \| 1.762 - 1.770 \| 0.018 \| 9 \| 3.97 \| poor \| 1900-1947 row 4 : spinel \| mgo·al2o3 \| 1.727 \| 0.02 \| 8 \| ~ 3.6 \| poor \| 1920-1947 row 5 : rutile \| tio2 \| 2.62 - 2.9 \| 0.33 \| ~ 6 \| 4.25 \| poor \| 1947-1955 row 6 : strontium titanate \| srtio3 \| 2.41 \| 0.19 \| 5.5 \| 5.13 \| poor \| 1955-1970 row 7 : yag \| y3al5o12 \| 1.83 \| 0.028 \| 8.25 \| 4.55 - 4.65 \| poor \| 1970-1975 row 8 : ggg \| gd3ga5o12 \| 1.97 \| 0.045 \| 7 \| 7.02 \| poor \| 1973-1975 row 9 : cubic zirconia \| zro2(+ rare earths \| ~ 2.2 \| ~ 0.06 \| ~ 8.3 \| ~ 5.7 \| poor \| 1976 - row 10 : moissanite \| sic \| 2.648 - 2.691 \| 0.104 \| 8.5-9.25 \| 3.2 \| high \| 1998 - row 11 : quartz \| silica \| 1.543 - 1.554 \| None \| 7- \| 2.50 - 2.65 \| None \| ancient ] Execute this SQL based on the above table: select thermal cond. where id = 1	excellent
[ header: place \| player \| country \| score \| to par row 1 : 1 \| tiger woods \| united states \| 67-66-67=200 \| -16 row 2 : t2 \| thomas bjørn \| denmark \| 69-69-68=206 \| -10 row 3 : t2 \| david duval \| united states \| 70-70-66=206 \| -10 row 4 : t4 \| darren clarke \| northern ireland \| 70-69-68=207 \| -9 row 5 : t4 \| loren roberts \| united states \| 69-68-70=207 \| -9 row 6 : t4 \| david toms \| united states \| 69-67-71=207 \| -9 row 7 : t7 \| ernie els \| south africa \| 66-72-70=208 \| -8 row 8 : t7 \| steve flesch \| united states \| 67-70-71=208 \| -8 row 9 : t7 \| tom lehman \| united states \| 68-70-70=208 \| -8 row 10 : t7 \| dennis paulson \| united states \| 68-71-70=208 \| -8 ] Execute this SQL based on the above table: select score where score != '69-67-71=207' and place = ( select place where score = '69-67-71=207' ) and country = 'united states'	69-68-70=207
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| india \| 102 \| 58 \| 37 \| 197 row 2 : 2 \| nepal \| 32 \| 10 \| 24 \| 65 row 3 : 3 \| sri lanka \| 16 \| 42 \| 62 \| 120 row 4 : 4 \| pakistan \| 10 \| 36 \| 30 \| 76 row 5 : 5 \| bangladesh \| 2 \| 10 \| 35 \| 47 row 6 : 6 \| bhutan \| 1 \| 6 \| 7 \| 14 row 7 : 7 \| maldives \| 0 \| 0 \| 4 \| 4 ] Execute this SQL based on the above table: select nation order by nation desc limit 1	sri lanka
[ header: year \| division \| league \| regular season \| playoffs \| open cup row 1 : 2006 \| 4 \| usl pdl \| 4th, heartland \| did not qualify \| did not qualify row 2 : 2007 \| 4 \| usl pdl \| 2nd, heartland \| conference semifinals \| did not qualify row 3 : 2008 \| 4 \| usl pdl \| 4th, heartland \| did not qualify \| 1st round row 4 : 2009 \| 4 \| usl pdl \| 4th, heartland \| did not qualify \| did not qualify row 5 : 2010 \| 4 \| usl pdl \| 5th, heartland \| did not qualify \| did not qualify row 6 : 2011 \| 4 \| usl pdl \| 5th, heartland \| did not qualify \| did not qualify row 7 : 2012 \| 4 \| usl pdl \| 7th, heartland \| did not qualify \| did not qualify row 8 : 2013 \| 4 \| usl pdl \| 5th, heartland \| did not qualify \| did not qualify ] Execute this SQL based on the above table: select regular season where regular season != '4th, heartland' and division = ( select division where regular season = '4th, heartland' )	2nd, heartland, 5th, heartland, 5th, heartland, 7th, heartland, 5th, heartland
[ header: district \| incumbent \| party \| first elected \| result \| candidates row 1 : virginia 1 \| thomas newton, j \| adams-clay republican \| 1801 \| re-elected \| thomas newton, j row 2 : virginia 2 \| arthur smith \| crawford republican \| 1821 \| retired jacksonian gain \| james trezvant (j) 75. row 3 : virginia 4 \| mark alexander \| crawford republican \| 1819 \| re-elected \| mark alexander (j) row 4 : virginia 5 \| john randolph \| crawford republican \| 1799 1819 \| re-elected \| john randolph (j) 100% row 5 : virginia 6 \| george tucker \| crawford republican \| 1819 \| retired jacksonian gain \| thomas davenport (j) row 6 : virginia 7 \| jabez leftwich \| crawford republican \| 1821 \| lost re-election jacksonia \| nathaniel h. row 7 : virginia 8 \| burwell bassett \| crawford republican \| 1805 1821 \| re-elected \| burwell bassett (j) 95. row 8 : virginia 9 \| andrew stevenson \| crawford republican \| 1821 \| re-elected \| andrew stevenson (j) row 9 : virginia 10 \| william c. rives \| crawford republican \| 1823 \| re-elected \| william c. rives ( row 10 : virginia 11 \| philip p. barbour \| crawford republican \| 1814 (special) \| retired adams gain \| robert taylor ( row 11 : virginia 12 \| robert s. garnett \| crawford republican \| 1817 \| re-elected \| robert s. garnett ( row 12 : virginia 16 \| james stephenson \| federalist \| 1821 \| retired adams gain \| william armstrong (a) 57 row 13 : virginia 17 \| jared williams \| crawford republican \| 1819 \| retired adams gain \| alfred h. powell (a row 14 : virginia 18 \| joseph johnson \| jackson republican \| 1823 \| re-elected \| joseph johnson (j) row 15 : virginia 19 \| william mccoy \| crawford republican \| 1811 \| re-elected \| william mccoy (j row 16 : virginia 20 \| john floyd \| crawford republican \| 1817 \| re-elected \| john floyd (j) 84 ] Execute this SQL based on the above table: select party where id = ( select id where party = 'jackson republican' ) + 1	crawford republican
[ header: place \| total \| men \| women \| children \| elderly \| serbs \| jews \| romani \| rusyns \| hungarians \| russians row 1 : becej \| 215 \| 111 \| 72 \| 13 \| 19 \| 102 \| 110 \| None \| None \| None \| None row 2 : vilovo \| 64 \| 44 \| 6 \| 8 \| 6 \| 64 \| None \| None \| None \| None \| None row 3 : gardinovci \| 37 \| 32 \| 3 \| None \| 2 \| 37 \| None \| None \| None \| None \| None row 4 : gospođinci \| 85 \| 47 \| 19 \| 15 \| 4 \| 73 \| 10 \| None \| 2 \| None \| None row 5 : đurđevo \| 223 \| 107 \| 60 \| 41 \| 15 \| 173 \| 22 \| None \| 27 \| None \| None row 6 : zabalj \| 666 \| 355 \| 141 \| 101 \| 69 \| 614 \| 28 \| 23 \| None \| 1 \| None row 7 : lok \| 47 \| 46 \| None \| None \| 1 \| 46 \| None \| None \| None \| 1 \| None row 8 : mosorin \| 205 \| 94 \| 41 \| 44 \| 26 \| 170 \| None \| 34 \| None \| 1 \| None row 9 : novi sad \| 1246 \| 489 \| 415 \| 165 \| 177 \| 375 \| 809 \| None \| 2 \| 18 \| 15 row 10 : srbobran \| 3 \| 3 \| None \| None \| None \| 2 \| 2 \| None \| None \| None \| None row 11 : temerin \| 48 \| 14 \| 15 \| 7 \| 12 \| 6 \| 42 \| None \| None \| None \| None row 12 : titel \| 51 \| 45 \| None \| 1 \| 5 \| 49 \| 1 \| None \| None \| None \| None row 13 : curug \| 893 \| 554 \| 153 \| 82 \| 104 \| 842 \| 44 \| 7 \| None \| None \| None row 14 : sajkas \| 26 \| 24 \| 2 \| None \| None \| 25 \| 1 \| None \| None \| None \| None row 15 : all places \| 3809 \| 1965 \| 927 \| 477 \| 440 \| 2578 \| 1068 \| 64 \| 31 \| 21 \| 15 ] Execute this SQL based on the above table: select ( select rusyns where place = 'đurđevo' ) - ( select rusyns where place = 'đurđevo' )	0.0
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| brazil \| 9 \| 0 \| 0 \| 9 row 2 : 2 \| argentina \| 0 \| 7 \| 1 \| 8 row 3 : 3 \| uruguay \| 0 \| 1 \| 4 \| 5 row 4 : 4 \| dominican republic \| 0 \| 1 \| 0 \| 1 row 5 : 5 \| chile \| 0 \| 0 \| 1 \| 1 row 6 : 5 \| greenland \| 0 \| 0 \| 1 \| 1 row 7 : 5 \| paraguay \| 0 \| 0 \| 1 \| 1 row 8 : 5 \| puerto rico \| 0 \| 0 \| 1 \| 1 row 9 : total \| total \| 9 \| 9 \| 9 \| 27 ] Execute this SQL based on the above table: select count ( distinct nation ) where nation != 'brazil'	8
[ header: pos \| driver \| entrant \| constructor \| time/retired \| grid row 1 : 1 \| jim clark \| team lotus \| lotus-climax \| 2.02:58.6 \| 1 row 2 : 2 \| richie ginther \| owen racing organisation \| brm \| + 22.6 s \| 3 row 3 : 3 \| graham hill \| owen racing organisation \| brm \| + 28.2 s \| 2 row 4 : 4 \| jack brabham \| brabham racing organisation \| brabham-climax \| + 52.0 s \| 11 row 5 : 5 \| tony maggs \| cooper car company \| cooper-climax \| 72 laps \| 6 row 6 : 6 \| bruce mclaren \| cooper \| cooper-climax \| 72 laps \| 7 row 7 : 7 \| mike hailwood \| reg parnell (racing) \| lola-climax \| 70 laps \| 9 row 8 : 8 \| ian burgess \| scirocco-powell (racing \| scirocco-brm \| 69 laps \| 18 row 9 : 9 \| peter revson \| reg parnell (racing) \| lotus-brm \| 69 laps \| 15 row 10 : 10 \| carel godin de beaufort \| ecurie maarsbergen \| porsche \| 67 laps \| 20 row 11 : 11 \| jo siffert \| siffert racing team \| lotus-brm \| engine (66 laps) \| 12 row 12 : 12 \| andre pilette \| andre pilette \| lotus-climax \| 63 laps \| 21 row 13 : 13 \| innes ireland \| british racing partnership \| lotus-brm \| oil pressure (56 laps) \| 5 row 14 : 14 \| bernard collomb \| bernard collomb \| lotus-climax \| oil pressure (46 laps) \| 19 row 15 : ret \| ian raby \| ian raby (racing) \| gilby-brm \| ignition \| 13 row 16 : ret \| dan gurney \| brabham racing organisation \| brabham-climax \| oil leak \| 16 row 17 : ret \| mike beckwith \| british racing partnership \| lotus-brm \| accident \| 17 row 18 : ret \| masten gregory \| tim parnell \| lotus-brm \| cam follower \| 14 row 19 : ret \| trevor taylor \| team lotus \| lotus-climax \| crownwheel & pinion \| 4 row 20 : ret \| jo bonnier \| rob walker racing team \| cooper-climax \| oil pressure \| 8 row 21 : ret \| tony settember \| scirocco-powell (racing \| scirocco-brm \| valve gear \| 22 row 22 : ret \| bob anderson \| dw racing enterprises \| lola-climax \| gearbox \| 10 row 23 : wd \| peter arundell \| team lotus \| lotus-climax \| car not ready \| None ] Execute this SQL based on the above table: select min ( pos )	1
[ header: year \| laetare medalist \| position row 1 : 1884 \| patrick charles keely \| architect row 2 : 1889 \| anna hanson dorsey \| novelist row 3 : 1890 \| william j. onahan \| organizer of the american catholic congress row 4 : 1892 \| henry f. brownson \| philosopher and author row 5 : 1899 \| mary gwendolin caldwell \| philanthropist row 6 : 1906 \| francis j. quinlan \| physician row 7 : 1908 \| james c. monaghan \| economist row 8 : 1911 \| agnes repplier \| author row 9 : 1913 \| charles george herbermann \| editor of the catholic encyclopedia row 10 : 1916 \| james joseph wals \| physician and author row 11 : 1917 \| admiral william shepherd benson \| chief of naval operations row 12 : 1922 \| charles patrick neill \| economist row 13 : 1923 \| walter george smith \| lawyer row 14 : 1924 \| charles donagh maginnis \| architect row 15 : 1925 \| albert francis zahm \| scientist row 16 : 1927 \| margaret anglin \| actress row 17 : 1932 \| stephen j. maher \| physician row 18 : 1936 \| richard reid \| journalist and lawyer row 19 : 1941 \| william thomas wals \| journalist and author row 20 : 1942 \| helen constance white \| author and teacher row 21 : 1944 \| anne o'hare mc \| journalist row 22 : 1945 \| gardiner howland shaw \| diplomat row 23 : 1947 \| william g. bruce \| publisher and civic leader row 24 : 1950 \| general joseph l. collin \| soldier row 25 : 1952 \| thomas e. murray \| member of the u.s. atomic row 26 : 1953 \| i.a. o'sh \| philanthropist row 27 : 1956 \| general alfred m. gruent \| soldier row 28 : 1958 \| frank m. folsom \| industrialist row 29 : 1964 \| phyllis mcginley \| poet row 30 : 1966 \| patrick f. & patricia car \| founders of the christian movement row 31 : 1967 \| j. peter grace \| industrialist row 32 : 1968 \| robert sargent shriver \| diplomat row 33 : 1977 \| mike mansfield \| former senate majority leader row 34 : 1979 \| helen hayes \| actress row 35 : 1980 \| thomas p. (tip) \| speaker of the house row 36 : 1982 \| john francis cardinal dearden \| archbishop emeritus of row 37 : 1984 \| john t. noonan, j \| lawyer row 38 : 1990 \| sister thea bowman (posthumously) \| educator row 39 : 1996 \| sister helen prejean \| death penalty abolitionist row 40 : 1998 \| dr. edmund \| medical ethicist and educator row 41 : 1999 \| philip gleason \| professor emeritus of history, notre row 42 : 2008 \| martin sheen \| actor row 43 : 2009 \| not awarded (see below) \| None row 44 : 2010 \| dana gioia \| former chairman of national endowment for the arts row 45 : 2011 \| sister mary scullion, r \| social advocates ] Execute this SQL based on the above table: select count ( year ) where year = 0	0
[ header: japanese title \| western title \| regions \| release \| platform(s) \| genre row 1 : chinese hero \| None \| jp \| 1984 \| arcade \| action row 2 : super chinese \| kung-fu heroes \| jp, na \| 1986 \| fc/nes \| action row 3 : super chinese 2 \| little ninja brothers \| jp, na \| 1989 \| fc/nes \| role-playing row 4 : super chinese 3 \| None \| jp \| 1991 \| fc \| role-playing row 5 : super chinese land \| ninja boy \| jp, na \| 1990 \| gb \| action row 6 : super chinese land 2 \| ninja boy 2 \| jp, na \| 1990 \| gb \| role-playing row 7 : super chinese land 3 \| None \| jp \| 1995 \| gb \| role-playing row 8 : super chinese world \| super ninja boy \| jp, na \| 1991 \| sfc/snes \| role-playing row 9 : super chinese world 2 \| None \| jp \| 1993 \| sfc \| role-playing row 10 : super chinese world 3 \| None \| jp \| 1995 \| sfc \| role-playing row 11 : super chinese fighter \| None \| jp \| 1995 \| sfc \| fighting row 12 : super chinese fighter gb \| None \| jp \| 1996 \| gb \| fighting row 13 : super chinese fighter ex \| None \| jp \| 1999 \| gbc \| fighting ] Execute this SQL based on the above table: select ( select release where release = 1995 ) > ( select release where release = 1984 )	1
[ header: rank \| wrestler \| no. of reigns \| combined defenses \| combined days row 1 : 1 \| keiji mutoh \| 4 \| 19 \| 1238 row 2 : 2 \| hiroshi tanahashi \| 6 \| 27 \| 1237 row 3 : 3 \| shinya hashimoto \| 3 \| 20 \| 1052 row 4 : 4 \| tatsumi fujinami \| 6 \| 13 \| 785 row 5 : 5 \| kensuke sasaki \| 5 \| 9 \| 647 row 6 : 6 \| yuji nagata \| 2 \| 12 \| 570 row 7 : 7 \| kazuchika okada \| 2 \| 10 \| 556 row 8 : 8 \| kazuyuki fujita \| 3 \| 3 \| 478 row 9 : 9 \| big van vader \| 3 \| 4 \| 451 row 10 : 10 \| shinsuke nakamur \| 3 \| 9 \| 390 row 11 : 11 \| riki choshu \| 3 \| 5 \| 383 row 12 : 12 \| antonio inoki \| 1 \| 4 \| 325 row 13 : 13 \| brock lesnar \| 1 \| 3 \| 280 row 14 : 14 \| hiroyoshi tenzan \| 4 \| 2 \| 197 row 15 : 15 \| yoshihiro takayama \| 1 \| 3 \| 185 row 16 : 16 \| satoshi kojima \| 2 \| 2 \| 168 row 17 : 17 \| togi makabe \| 1 \| 3 \| 161 row 18 : 18 \| scott norton \| 2 \| 4 \| 126 row 19 : 19 \| nobuhiko takada \| 1 \| 1 \| 116 row 20 : 20 \| bob sapp \| 1 \| 1 \| 66 row 21 : 21 \| salman hashimikov \| 1 \| 0 \| 48 row 22 : 21 \| tadao yas \| 1 \| 1 \| 48 row 23 : 23 \| manabu nakanishi \| 1 \| 0 \| 45 row 24 : 24 \| masahiro chono \| 1 \| 0 \| 44 row 25 : 25 \| genichiro tenryu \| 1 \| 0 \| 25 ] Execute this SQL based on the above table: select wrestler where wrestler = 'salman hashimikov'	salman hashimikov
[ header: pos. \| name \| place of birth \| date of birth \| previous club \| date joined \| fee row 1 : gk \| alan buck \| colchester \| 25 august 1946 \| youth team \| 1 august 1964 \| free row 2 : gk \| sandy kennon \| johannesburg \| 28 november 1933 \| norwich city \| 6 march 1965 \| free row 3 : df \| duncan forbes \| edinburgh \| 19 june 1941 \| musselburgh athletic \| 14 april 1962 \| free row 4 : df \| john fowler \| leith \| 17 october 1933 \| bonnyrigg rose athletic \| 20 august 1955 \| free row 5 : df \| brian hall \| burbage \| 9 march 1939 \| mansfield town \| 6 march 1965 \| free row 6 : df \| mick loughton \| colchester \| 8 december 1942 \| youth team \| 1 august 1964 \| free row 7 : df \| ray price \| hetton-le-hole \| 18 may 1944 \| norwich city \| 6 february 1965 \| free row 8 : df \| david raine \| darlington \| 28 march 1937 \| doncaster rovers \| 24 september 1965 \| free row 9 : mf \| barrie aitchison \| colchester \| 15 november 1937 \| tottenham hotspur \| 22 august 1964 \| £750 row 10 : mf \| bobby blackwood \| edinburgh \| 20 august 1934 \| ipswich town \| 1 september 1965 \| free row 11 : mf \| arthur kaye \| higham \| 9 may 1933 \| middlesbrough \| 21 august 1965 \| free row 12 : mf \| john mansfield \| colchester \| 13 september 1946 \| youth team \| 1 august 1964 \| free row 13 : mf \| derek trevis \| birmingham \| 9 september 1942 \| aston villa \| 7 march 1964 \| free row 14 : fw \| peter bullock \| stoke-on-trent \| 17 november 1941 \| southend united \| 30 october 1965 \| free row 15 : fw \| reg stratton \| kingsley \| 10 july 1939 \| fulham \| 21 august 1965 \| free ] Execute this SQL based on the above table: select name where id = 1	alan buck
[ header: ano \| title \| role \| channel \| notes row 1 : 1994 \| inconquistable corazon \| victoria \| canal 9 \| None row 2 : 1995 \| dulce ana \| veronica iturbe montalban \| canal 9 \| None row 3 : 1996 \| 90-60-90 modelos \| lucia peralta \| canal 9 \| None row 4 : 1997 \| ricos y famos \| valeria garcia mendez de \| canal 9 \| None row 5 : 1998-1999 \| muneca brava \| milagros 'mili' e \| telefe \| nominated - martin fierr row 6 : 2002 \| kachorra \| antonia guerrero (kachorr \| telefe \| nominated - martin fierr row 7 : 2004 \| el deseo \| carmen \| telefe \| None row 8 : 2005 \| botines \| renee \| canal 13 \| in "bailarina en row 9 : 2006 \| sos mi vida \| esperanza "la monita \| canal 13 \| won - martin fierro row 10 : 2007 \| patito feo \| patricia gonzalez \| canal 13 \| guest appearance row 11 : 2008 \| amanda o \| amanda o \| on internet and america television \| martin fierro - leading actress row 12 : 2008 \| recurso natural \| None \| canal 7 \| host row 13 : 2010 \| se dice de mi \| None \| canal encuentro \| host row 14 : 2011 \| cuando me sonreis \| leonora bellami \| telefe \| guest appearance row 15 : 2012-2013 \| lynch \| isabel reyes alias marian \| moviecity \| None row 16 : 2013 \| solamente vos \| aurora andres \| canal 13 \| won - tato awards best lead ] Execute this SQL based on the above table: select channel where role = 'lucia peralta' union select title where role = 'lucia peralta'	90-60-90 modelos, canal 9
[ header: year \| title \| role \| notes row 1 : 2014 \| and so it goes \| producer \| starring michael douglas and row 2 : 2011 \| flypaper \| producer \| starring patrick dempsey and row 3 : 2007 \| captivity \| producer \| None row 4 : 2006 \| o jerusalem \| producer \| None row 5 : 2005 \| the upside of anger \| executive producer \| starring kevin costner and jo row 6 : 2004 \| beyond the sea \| executive producer \| starring kevin spacey row 7 : 2004 \| the i inside \| producer \| None row 8 : 2003 \| monster \| producer \| starring charlize theron academy row 9 : 2003 \| 11:14 \| executive producer \| None row 10 : 2002 \| extreme ops \| executive producer \| None row 11 : 2001 \| the musketeer \| executive producer \| None row 12 : 2001 \| the body \| executive producer \| None row 13 : 1997 \| the blackout \| executive producer \| None row 14 : 1996 \| the winner \| executive producer \| None row 15 : 1993 \| stalingrad \| executive producer \| None row 16 : 1991 \| diary of a hitman \| executive producer \| None row 17 : 1990 \| vietnam, texas \| executive producer \| None row 18 : 1989 \| wild orchid \| producer \| starring mickey rourke row 19 : 1988 \| high spirits \| executive producer \| None row 20 : 1988 \| mac and me \| executive producer \| None row 21 : 1986 \| flight of the navigator \| executive producer \| None row 22 : 1986 \| short circuit \| executive producer \| None row 23 : 1986 \| 9 1/2 weeks \| producer \| starring mickey rourke and row 24 : 1984 \| metropolis \| sales agent \| directed by fritz lang row 25 : 1984 \| the neverending story \| executive producer \| directed by wolfgang petersen row 26 : 1977 \| the choirboys \| executive producer \| None row 27 : 1974 \| there is no 13 \| george thomas \| None row 28 : 1973 \| "hannah, queen of the vampires" \| peter \| None row 29 : 1973 \| the devil's wedding night \| karl schiller \| None row 30 : 1973 \| little mother \| riano \| None row 31 : 1972 \| byleth - il demone de \| duke lionello shandwell \| None row 32 : 1972 \| i leoni di pietroburgo \| eldar \| None row 33 : 1972 \| confessioni segrete di un convento di \| domenico \| None row 34 : 1972 \| they call him veritas \| veritas \| None row 35 : 1971 \| l'arciere di fuoco \| allen \| None row 36 : 1971 \| pistol packin' preacher \| slim \| None row 37 : 1968 \| dead men don't count \| johnny dalton \| None row 38 : 1967 \| requiescant \| george ferguson \| also starring pier paolo pas row 39 : 1966 \| johnny oro \| johnny oro/ringo \| directed by sergio corbucci row 40 : 1964 \| son of cleopatra \| el kebir \| None row 41 : 1964 \| i cento cavalieri \| don fernando herrera y \| None row 42 : 1963 \| the tyrant of castile \| pietro i: re di castigl \| None row 43 : 1963 \| the young racers \| stephen children \| directed by roger corman row 44 : 1962 \| the reluctant saint \| aldo \| directed by edward dmytry row 45 : 1962 \| the longest day \| pvt. harris \| also starring richard burton and se row 46 : 1962 \| beauty and the beast \| eduardo \| None ] Execute this SQL based on the above table: select notes where notes in ( 'starring mickey rourke and kim basinger directed by adrian lyne' , 'also starring richard burton and sean connery' ) order by year desc limit 1	also starring richard burton and sean connery
[ header: school \| conference \| record (conference) \| head coach \| cws appearances \| cws best finish \| cws record row 1 : arizona \| None \| 36-8 (n/a) \| frank sancet \| 4 (last: 1958) \| 2nd (1956) \| 7-8 row 2 : clemson \| acc \| 23 -6 (11-5, 0 \| bill wilhelm \| 1 (last: 1958) \| 5th (1958) \| 1-2 row 3 : colorado state \| None \| 24-5 (n/a) \| pete butler \| 5 (last: 1958) \| 5th (1955) \| 2-10 row 4 : connecticut \| None \| 20-1 (n/a) \| j. orlean christian \| 1 (last: 1957) \| 5th (1957) \| 1-2 row 5 : fresno state \| None \| 38-11 (n/a) \| pete beiden \| 0 (last: none) \| none \| 0-0 row 6 : oklahoma state \| big 8 \| 22-4 (17-3, 0 gb \| toby greene \| 2 (last: 1955) \| 3rd (1955) \| 5-4 row 7 : penn state \| None \| 15-4 (n/a) \| joe bedenk \| 2 (last: 1957) \| 2nd (1957) \| 5-4 row 8 : western michigan \| mac \| 24-7 (8-2, 0 gb \| charlie maher \| 3 (last: 1958) \| 2nd (1955) \| 7-6 ] Execute this SQL based on the above table: select count ( * ) where record (conference) = '36-8 (n/a)'	1
[ header: rank \| bib \| name \| country \| time \| deficit row 1 : None \| 43 \| daniel richardsson \| sweden \| 39:08.5 \| 38.8 row 2 : 4 \| 13 \| iivo niskanen \| finland \| 39:08.7 \| 39 row 3 : 7 \| 31 \| alexander bessmertny \| russia \| 39:37.7 \| +1:08.0 row 4 : 12 \| 33 \| eldar rønning \| norway \| 40:02.8 \| +1:33.1 row 5 : 14 \| 29 \| jens filbrich \| germany \| 40:08.5 \| +1:38.8 row 6 : 15 \| 28 \| lars nelson \| sweden \| 40:08.8 \| +1.39.1 row 7 : 20 \| 41 \| matti heikkinen \| finland \| 40:17.8 \| +1:48.1 row 8 : 22 \| 25 \| curdin perl \| switzerland \| 40:27.8 \| +1:58.1 row 9 : 24 \| 11 \| jonas baumann \| switzerland \| 40.33.2 \| +2:03.5 row 10 : 30 \| 22 \| francesco de fabiani \| italy \| 41:00.8 \| +2:31.1 row 11 : 31 \| 32 \| noah hoffman \| united states \| 41:02.7 \| +2:33.0 row 12 : 35 \| 38 \| devon kershaw \| canada \| 41:17.1 \| +2:47.4 row 13 : 36 \| 27 \| mattia pellegrin \| italy \| 41:20.1 \| +2:50.4 row 14 : 39 \| 39 \| ivan babikov \| canada \| 41:49.2 \| +3:19.5 row 15 : 43 \| 16 \| adrien backscheider \| france \| 42.21.7 \| +3:52.0 row 16 : 46 \| 1 \| sergey mikayelyan \| armenia \| 42:39.1 \| +4:09.4 row 17 : 49 \| 54 \| alexander lasutkin \| belarus \| 42:45.1 \| +4.15.4 row 18 : 51 \| 64 \| peter mlynar \| slovakia \| 42:50.3 \| +4.20.6 row 19 : 54 \| 58 \| yerdos akhmadiy \| kazakhstan \| 43:02.2 \| +4:32.5 row 20 : 58 \| 68 \| martin møller \| denmark \| 43:29.7 \| +5:00.0 row 21 : 59 \| 24 \| michail semenov \| belarus \| 43:36.0 \| +5:06.3 row 22 : 61 \| 59 \| raido rankel \| estonia \| 43:38.9 \| +5:09.2 row 23 : 67 \| 66 \| callum smith \| great britain \| 44:14.7 \| +5:45.0 row 24 : 69 \| 71 \| oleksii kraso \| ukraine \| 44:35.4 \| +6:05.7 row 25 : 74 \| 85 \| sævar birgisson \| iceland \| 45:44.2 \| +7:14.5 row 26 : 78 \| 80 \| milan szabo \| hungary \| 47:01.3 \| +8:31.6 row 27 : 79 \| 83 \| sattar seid \| iran \| 47:16.1 \| +8:46.4 row 28 : 80 \| 86 \| bold byambadorj \| mongolia \| 48:29.6 \| +9:59.9 row 29 : 84 \| 88 \| tucker murphy \| bermuda \| 49:19.9 \| +10:50.2 ] Execute this SQL based on the above table: select country order by bib desc limit 1	bermuda
[ header: \| \| \| \| \| \| \| \| \| \| row 1 : 2010s \| 2010 \| 2011 \| 2012 \| 2013 \| 2014 \| 2015 \| 2016 \| 2017 \| 2018 \| None row 2 : 2000s \| 2000 \| 2001 \| 2002 \| 2003 \| 2004 \| 2005 \| 2006 \| 2007 \| 2008 \| 2009 row 3 : 1990s \| 1990 \| 1991 \| 1992 \| 1993 \| 1994 \| 1995 \| 1996 \| 1997 \| 1998 \| 1999 row 4 : 1980s \| 1980 \| 1981 \| 1982 \| 1983 \| 1984 \| 1985 \| 1986 \| 1987 \| 1988 \| 1989 row 5 : 1970s \| 1970 \| 1971 \| 1972 \| 1973 \| 1974 \| 1975 \| 1976 \| 1977 \| 1978 \| 1979 row 6 : 1960s \| 1960 \| 1961 \| 1962 \| 1963 \| 1964 \| 1965 \| 1966 \| 1967 \| 1968 \| 1969 row 7 : 1950s \| 1950 \| 1951 \| 1952 \| 1953 \| 1954 \| 1955 \| 1956 \| 1957 \| 1958 \| 1959 row 8 : 1940s \| 1940 \| 1941 \| 1942 \| 1943 \| 1944 \| 1945 \| 1946 \| 1947 \| 1948 \| 1949 row 9 : 1930s \| 1930 \| 1931 \| 1932 \| 1933 \| 1934 \| 1935 \| 1936 \| 1937 \| 1938 \| 1939 row 10 : 1920s \| 1920 \| 1921 \| 1922 \| 1923 \| 1924 \| 1925 \| 1926 \| 1927 \| 1928 \| 1929 row 11 : 1910s \| 1910 \| 1911 \| 1912 \| 1913 \| 1914 \| 1915 \| 1916 \| 1917 \| 1918 \| 1919 row 12 : 1900s \| 1900 \| 1901 \| 1902 \| 1903 \| 1904 \| 1905 \| 1906 \| 1907 \| 1908 \| 1909 row 13 : 1890s \| 1890 \| 1891 \| 1892 \| 1893 \| 1894 \| 1895 \| 1896 \| 1897 \| 1898 \| 1899 row 14 : 1880s \| 1880 \| 1881 \| 1882 \| 1883 \| 1884 \| 1885 \| 1886 \| 1887 \| 1888 \| 1889 row 15 : 1870s \| 1870 \| 1871 \| 1872 \| 1873 \| 1874 \| 1875 \| 1876 \| 1877 \| 1878 \| 1879 ] Execute this SQL based on the above table: select count ( ) where > 1887	13
[ header: year \| competition \| venue \| position \| notes row 1 : 2002 \| world junior championships \| kingston, jamaica \| 1st \| 64.51 m (1.75 kg) row 2 : 2002 \| asian games \| busan, south korea \| 1st \| 60.76 m row 3 : 2003 \| universiade \| daegu, south korea \| 1st \| 62.32 m row 4 : 2003 \| asian championships \| manila, philippines \| 1st \| 61.43 m row 5 : 2004 \| olympic games \| athens, greece \| 18th (q) \| 60.60 m row 6 : 2005 \| world championships \| helsinki, finland \| 18th (q) \| 61.75 m row 7 : 2005 \| universiade \| izmir, turkey \| 7th \| 59.67 m row 8 : 2005 \| east asian games \| macau \| 1st \| 61.74 m row 9 : 2006 \| asian games \| doha, qatar \| 5th \| 58.54 m row 10 : 2009 \| asian championships \| guangzhou, china \| 3rd \| 59.27 m ] Execute this SQL based on the above table: select count ( * ) where competition = 'east asian games'	1
[ header: season \| level \| division \| section \| position \| movements row 1 : 1960 \| tier 4 \| division 4 \| halsingland \| 3rd \| None row 2 : 1961 \| tier 4 \| division 4 \| halsingland \| 2nd \| None row 3 : 1962 \| tier 4 \| division 4 \| halsingland \| 1st \| promoted row 4 : 1963 \| tier 3 \| division 3 \| sodra norrland \| 6th \| None row 5 : 1964 \| tier 3 \| division 3 \| sodra norrland nedre \| 4th \| None row 6 : 1965 \| tier 3 \| division 3 \| sodra norrland nedre \| 10th \| relegated row 7 : 1966 \| tier 4 \| division 4 \| halsingland \| 9th \| None row 8 : 1967 \| tier 4 \| division 4 \| halsingland \| 2nd \| None row 9 : 1968 \| tier 4 \| division 4 \| halsingland \| 6th \| None row 10 : 1969 \| tier 4 \| division 4 \| halsingland \| 3rd \| None row 11 : 1970 \| tier 4 \| division 4 \| halsingland \| 2nd \| None row 12 : 1971 \| tier 4 \| division 4 \| halsingland \| 1st \| promotion playoffs - promoted row 13 : 1972 \| tier 3 \| division 3 \| norra svealand \| 6th \| None row 14 : 1973 \| tier 3 \| division 3 \| norra svealand \| 11th \| relegated row 15 : 1974 \| tier 4 \| division 4 \| halsingland \| 1st \| promoted row 16 : 1975 \| tier 3 \| division 3 \| sodra norrland \| 9th \| None row 17 : 1976 \| tier 3 \| division 3 \| sodra norrland \| 9th \| None row 18 : 1977 \| tier 3 \| division 3 \| sodra norrland \| 9th \| None row 19 : 1978 \| tier 3 \| division 3 \| sodra norrland \| 6th \| None row 20 : 1979 \| tier 3 \| division 3 \| sodra norrland \| 9th \| None row 21 : 1980 \| tier 3 \| division 3 \| sodra norrland \| 7th \| None row 22 : 1981 \| tier 3 \| division 3 \| sodra norrland \| 9th \| None row 23 : 1982 \| tier 3 \| division 3 \| sodra norrland \| 12th \| relegated row 24 : 1982 \| tier 4 \| division 4 \| halsingland \| 3rd \| None ] Execute this SQL based on the above table: select count ( * )	24
[ header: year \| division \| league \| regular season \| playoffs \| open cup \| avg. attendance row 1 : 2001 \| 2 \| usl a-league \| 4th, western \| quarterfinals \| did not qualify \| 7169 row 2 : 2002 \| 2 \| usl a-league \| 2nd, pacific \| 1st round \| did not qualify \| 6260 row 3 : 2003 \| 2 \| usl a-league \| 3rd, pacific \| did not qualify \| did not qualify \| 5871 row 4 : 2004 \| 2 \| usl a-league \| 1st, western \| quarterfinals \| 4th round \| 5628 row 5 : 2005 \| 2 \| usl first division \| 5th \| quarterfinals \| 4th round \| 6028 row 6 : 2006 \| 2 \| usl first division \| 11th \| did not qualify \| 3rd round \| 5575 row 7 : 2007 \| 2 \| usl first division \| 2nd \| semifinals \| 2nd round \| 6851 row 8 : 2008 \| 2 \| usl first division \| 11th \| did not qualify \| 1st round \| 8567 row 9 : 2009 \| 2 \| usl first division \| 1st \| semifinals \| 3rd round \| 9734 row 10 : 2010 \| 2 \| ussf d-2 pro league \| 3rd, usl (3rd) \| quarterfinals \| 3rd round \| 10727 ] Execute this SQL based on the above table: select count ( * ) where playoffs + regular season = 0	0
[ header: # \| president \| president's party \| senate with \| senate opposed \| house with \| house opposed \| years served \| elections won row 1 : 1 \| george washington \| federalist-leaning \| 8 \| 0 \| 6 \| 2 \| 8 \| 2 row 2 : 3 \| thomas jefferson \| democratic-republican \| 8 \| 0 \| 8 \| 0 \| 8 \| 2 row 3 : 4 \| james madison \| democratic-republican \| 8 \| 0 \| 8 \| 0 \| 8 \| 2 row 4 : 7 \| andrew jackson \| democratic \| 8 \| 0 \| 8 \| 0 \| 8 \| 2 row 5 : 8 \| martin van buren \| democratic \| 4 \| 0 \| 4 \| 0 \| 4 \| 1 row 6 : 10 \| john tyler \| whig/none \| 4 \| 0 \| 2 \| 2 \| 4 \| 0 row 7 : 13 \| millard fillmore \| whig \| 0 \| 3 \| 0 \| 3 \| 3 \| 0 row 8 : 15 \| james buchanan \| democratic \| 4 \| 0 \| 2 \| 2 \| 4 \| 1 row 9 : 16 \| abraham lincoln \| republican \| 4 \| 0 \| 4 \| 0 \| 4 \| 2 row 10 : 17 \| andrew johnson \| democratic \| 0 \| 4 \| 0 \| 4 \| 4 \| 0 row 11 : 18 \| ulysses grant \| republican \| 8 \| 0 \| 6 \| 2 \| 8 \| 2 row 12 : 20 \| james garfield \| republican \| 0 \| 0.5 \| 0.5 \| 0 \| 0.5 \| 1 row 13 : 21 \| chester arthur \| republican \| 4 \| 0 \| 2 \| 2 \| 4 \| 0 row 14 : 24 \| grover cleveland \| democratic \| 2 \| 2 \| 2 \| 2 \| 4 \| 1 row 15 : 25 \| william mckinley \| republican \| 4 \| 0 \| 4 \| 0 \| 4 \| 2 row 16 : 26 \| theodore roosevel \| republican \| 8 \| 0 \| 8 \| 0 \| 8 \| 1 row 17 : 27 \| william taft \| republican \| 4 \| 0 \| 2 \| 2 \| 4 \| 1 row 18 : 28 \| woodrow wilson \| democratic \| 6 \| 2 \| 6 \| 2 \| 8 \| 2 row 19 : 29 \| warren harding \| republican \| 2 \| 0 \| 2 \| 0 \| 2 \| 1 row 20 : 30 \| calvin coolidge \| republican \| 6 \| 0 \| 6 \| 0 \| 6 \| 1 row 21 : 31 \| herbert hoover \| republican \| 4 \| 0 \| 2 \| 2 \| 4 \| 1 row 22 : 34 \| dwight eisenhower \| republican \| 2 \| 6 \| 2 \| 6 \| 8 \| 2 row 23 : 36 \| lyndon johnson \| democratic \| 5 \| 0 \| 5 \| 0 \| 5 \| 1 row 24 : 38 \| gerald ford \| republican \| 0 \| 2 \| 0 \| 2 \| 2 \| 0 row 25 : 39 \| jimmy carter \| democratic \| 4 \| 0 \| 4 \| 0 \| 4 \| 1 row 26 : 41 \| george h. w. bush \| republican \| 0 \| 4 \| 0 \| 4 \| 4 \| 1 row 27 : 42 \| bill clinton \| democratic \| 2 \| 6 \| 2 \| 6 \| 8 \| 2 row 28 : 43 \| george w. bush \| republican \| 4.5 \| 3.5 \| 6 \| 2 \| 8 \| 2 row 29 : 44 \| barack obama \| democratic \| 6 \| 0 \| 2 \| 4 \| 6 \| 2 ] Execute this SQL based on the above table: select 2015 - 1912	103
[ 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 distributor where notes is null order by id limit 1	new line cinema
[ header: description \| total \| poland \| baltic states(resettled in poland during war) \| resettled in poland during war(from ussr and romania) \| sudetendeutsch \| se europe (hungary, romania, yugoslavia & slovakia) row 1 : total population before flight & expulsion \| 16199086 \| 11038826 \| 145615 \| 365622 \| 3160216 \| 1488807 row 2 : violent deaths \| 58256 \| 44603 \| 383 \| 747 \| 5596 \| 6927 row 3 : suicides \| 14356 \| 10330 \| 157 \| 84 \| 3411 \| 374 row 4 : deported( forced labor ussr) \| 49542 \| 32947 \| 1566 \| 6465 \| 705 \| 7859 row 5 : in internment camps \| 80522 \| 27847 \| 952 \| 1037 \| 6615 \| 44071 row 6 : during the wartime flight \| 93283 \| 86860 \| 2394 \| 738 \| 629 \| 2662 row 7 : in the course of the expulsions \| 63876 \| 57814 \| 3510 \| 561 \| 1481 \| 510 row 8 : cause undetermined \| 112612 \| 106991 \| 64 \| 3116 \| 379 \| 2062 row 9 : other misc \| 566 \| None \| 38 \| 141 \| 73 \| 314 row 10 : total confirmed deaths \| 473013 \| 367392 \| 9064 \| 12889 \| 18889 \| 64779 row 11 : total unsolved cases \| 1905991 \| 1404993 \| 19374 \| 73794 \| 287169 \| 120661 ] Execute this SQL based on the above table: select se europe (hungary, romania, yugoslavia & slovakia) where description = 'cause undetermined'	2062.0

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[ header: pos \| no. \| driver \| team \| laps \| time/retired \| grid \| laps led \| points row 1 : 2 \| 4 \| j. r. hilde \| panther racing \| 200 \| 2.1086 \| 12 \| 7 \| 44 row 2 : 3 \| 38 \| graham rahal \| chip ganassi racing \| 200 \| 5.5949 \| 29 \| 6 \| 38 row 3 : 4 \| 82 \| tony kanaan \| kv racing technology - lotus \| 200 \| 7.487 \| 22 \| 0 \| 36 row 4 : 5 \| 9 \| scott dixon (w)1 \| chip ganassi racing \| 200 \| 9.5434 \| 2 \| 73 \| 45 row 5 : 7 \| 30 \| bertrand baguette \| rahal letterman lanigan racing \| 200 \| 23.9631 \| 14 \| 11 \| 30 row 6 : 9 \| 26 \| marco andretti \| andretti autosport \| 200 \| 25.7411 \| 27 \| 0 \| 25 row 7 : 12 \| 10 \| dario franchitti (w) \| chip ganassi racing \| 200 \| 56.4167 \| 9 \| 51 \| 24 row 8 : 14 \| 12 \| will power \| team penske \| 199 \| +1 lap \| 5 \| 0 \| 26 row 9 : 15 \| 14 \| vitor meira \| a. j. foyt enterprises \| 199 \| +1 lap \| 11 \| 0 \| 19 row 10 : 17 \| 3 \| helio castroneves (w \| team penske \| 199 \| +1 lap \| 16 \| 0 \| 17 row 11 : 18 \| 44 \| buddy rice (w) \| panther racing \| 198 \| +2 laps \| 7 \| 0 \| 20 row 12 : 19 \| 19 \| alex lloyd \| dale coyne racing \| 198 \| +2 laps \| 30 \| 0 \| 15 row 13 : 20 \| 36 \| pippa mann (r) \| conquest racing \| 198 \| +2 laps \| 31 \| 0 \| 15 row 14 : 21 \| 24 \| ana beatriz \| dreyer & reinbold racing \| 197 \| +3 laps \| 32 \| 0 \| 15 row 15 : 22 \| 43 \| john andretti \| andretti autosport \| 197 \| +3 laps \| 17 \| 0 \| 16 row 16 : 24 \| 11 \| davey hamilton \| dreyer & reinbold racing \| 193 \| +7 laps \| 15 \| 0 \| 16 row 17 : 25 \| 23 \| paul tracy \| dreyer & reinbold racing \| 175 \| +25 laps \| 24 \| 0 \| 13 row 18 : 26 \| 99 \| townsend bell \| sam schmidt motorsports \| 157 \| contact \| 4 \| 0 \| 21 row 19 : 28 \| 77 \| alex tagliani \| sam schmidt motorsports \| 147 \| contact \| 1 \| 20 \| 25 row 20 : 29 \| 6 \| james hinchcliffe (r) \| newman/haas racing \| 99 \| contact \| 13 \| 0 \| 14 row 21 : 31 \| 78 \| simona de silvestro \| hvm racing \| 44 \| handling \| 23 \| 0 \| 14 row 22 : 33 \| 5 \| takuma sato \| kv racing technology - lotus \| 20 \| contact \| 10 \| 0 \| 14 ] Execute this SQL based on the above table: select count ( pos ) where time/retired > 1568	0
[ header: \| separation (arcsec) \| separation (au) \| most recent position angle \| period (years) \| semi-major axis (arcseconds) \| notes row 1 : ab-cd \| 208.2 \| 10500 \| 172 \| None \| None \| ε1-ε2 row 2 : ab \| 2.3 \| 116 \| 347 \| 1804.41 \| 4.742 \| components of ε1 row 3 : cd \| 2.4 \| 121 \| 79 \| 724.307 \| 2.92 \| components of ε2 row 4 : ca \| 0.1 \| 5 \| 225 \| None \| None \| recently discovered interferometric companion row 5 : ai \| 149.6 \| 7500 \| 138 \| None \| None \| None row 6 : ce \| 63.7 \| 3200 \| 333 \| None \| None \| None row 7 : ef \| 46 \| 2300 \| 37 \| None \| None \| None row 8 : eg \| 50 \| 2500 \| 238 \| None \| None \| None row 9 : gh \| 35 \| 1800 \| 358 \| None \| None \| None ] Execute this SQL based on the above table: select ( select where = 'gh' ) < ( select where = 'ai' )	0
[ header: \| name on the register \| date listed \| location \| city or town \| summary row 1 : 40 \| highland park general hospital \| october 31, 1985 (#850 \| 357 glendale ave. \| highland park \| the highland park general hospital is a ] Execute this SQL based on the above table: select where name on the register = 'highland park general hospital'	40.0
[ header: year \| name of show \| episodes \| other guests \| winner(s) row 1 : 1997 \| super trio series 2: movie buff championship \| 18 \| florence kwok, jo \| charmaine sheh row 2 : 2000 \| the super trio show \| 6 \| julian cheung, calvin \| charmaine sheh, julian che row 3 : 2002 \| a trio delights \| 3 \| timmy hung, ken wong \| louis yuen row 4 : 2004 \| the super trio continues \| 7 \| michael tao, \| charmaine sheh, michael row 5 : 2007 \| foodie 2 shoes \| 19, 20 \| chin ka lok, e \| charmaine sheh, chin ka row 6 : 2008 \| super trio supreme \| 1 \| bosco wong, michael mi \| charmaine sheh, cutie mui row 7 : 2009 \| are you smarter than a 5th grade \| 05, 06 \| None \| hk$175,000 (levels 8 row 8 : 2010 \| super trio game master \| 20 \| moses chan, kenneth ma \| tie row 9 : 2011 \| all star glam exam \| 8 \| ekin cheng, eric \| charmaine sheh ] Execute this SQL based on the above table: select ( select max ( year ) ) - ( select min ( year ) )	14
[ header: position \| swara \| short name \| notation \| mnemonic row 1 : 1 \| shadja \| sa \| s \| sa row 2 : 2 \| shuddha rishabha \| ri \| r1 \| ra row 3 : 3 \| chatushruti rishabha \| ri \| r2 \| ri row 4 : 3 \| shuddha gandhara \| ga \| g1 \| ga row 5 : 4 \| shatshruti ris \| ri \| r3 \| ru row 6 : 4 \| sadharana gandhara \| ga \| g2 \| gi row 7 : 5 \| antara gandhara \| ga \| g3 \| gu row 8 : 6 \| shuddha madhyama \| ma \| m1 \| ma row 9 : 7 \| prati madhyama \| ma \| m2 \| mi row 10 : 8 \| panchama \| pa \| p \| pa row 11 : 9 \| shuddha dhaivat \| dha \| d1 \| dha row 12 : 10 \| chatushruti dhaivata \| dha \| d2 \| dhi row 13 : 10 \| shuddha nishada \| ni \| n1 \| na row 14 : 11 \| shatshruti dha \| dha \| d3 \| dhu row 15 : 11 \| kaisiki nishada \| ni \| n2 \| ni row 16 : 12 \| kakali nishada \| ni \| n3 \| nu ] Execute this SQL based on the above table: select position where position in ( 10 , 10 ) order by short name limit 418	10, 10
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| japan \| 18 \| 8 \| 8 \| 34 row 2 : 2 \| india \| 4 \| 5 \| 6 \| 15 row 3 : 3 \| philippines \| 4 \| 3 \| 3 \| 10 row 4 : 4 \| taiwan \| 2 \| 6 \| 7 \| 15 row 5 : 5 \| south korea \| 2 \| 3 \| 1 \| 6 row 6 : 6 \| thailand \| 2 \| 2 \| 0 \| 4 row 7 : 7 \| pakistan \| 2 \| 1 \| 0 \| 3 row 8 : 8 \| iran \| 2 \| 0 \| 2 \| 4 row 9 : 9 \| israel \| 1 \| 0 \| 1 \| 2 row 10 : 10 \| singapore \| 0 \| 4 \| 4 \| 8 row 11 : 11 \| malaysia \| 0 \| 3 \| 1 \| 4 row 12 : 12 \| iraq \| 0 \| 2 \| 0 \| 2 row 13 : 13 \| kampuchea \| 0 \| 0 \| 2 \| 2 row 14 : 14 \| nepal \| 0 \| 0 \| 1 \| 1 ] Execute this SQL based on the above table: select bronze where nation = 'nepal' and gold = 0	1
[ 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 party order by party desc limit 1	labour
[ header: year \| cast (nabucco, abigaille, zaccaria, ismaele, fenena) \| conductor, opera house and orchestra \| label row 1 : 1951 \| paolo silveri, caterina \| fernando previtali, orchestra \| audio cd: warner fon row 2 : 1965 \| tito gobbi, \| lamberto gardelli, vienn \| audio cd: decca cat: 4 row 3 : 1977-78 \| matteo manuguerra, renat \| riccardo muti, phil \| audio cd: emi records row 4 : 1982 \| piero cappuccilli, \| giuseppe sinopoli, \| audio cd: dg cat: row 5 : 1987 \| renato bruson, g \| riccardo muti, la \| dvd: warner cat: 5050467 row 6 : 2002 \| juan pons, maria \| james levine, metropolitan opera \| dvd: dg, live recording cat: row 7 : 2004 \| alberto gazzale, susan \| riccardo frizza, teatr \| dvd: dynamic, live recording cat: 334 row 8 : 2004 \| renato bruson, mauri \| paolo carignani, teat \| dvd: brilliant classics, live recording cat: row 9 : 2007 \| leo nucci, maria guleg \| daniel oren, arena di \| dvd: decca, live recording cat: ] Execute this SQL based on the above table: select count ( * ) ( select label group by label having count ( conductor, opera house and orchestra ) > 1394 )	0
[ header: date \| race name \| location \| uci rating \| winner \| team row 1 : 16-21 january \| la tropicale amissa bongo \| gabon \| 2.2 \| frederic guesdon (fr \| francaise des jeux row 2 : 8-14 february \| tour d'egypte \| egypt \| 2.2 \| waylon woolcock (rsa) \| south africa (national team) row 3 : 16 february \| gp of sharm el \| egypt \| 1.2 \| jan sipeky (svk) \| dukla trencin-merida row 4 : 24 february-9 march \| tour du cameroun \| cameroon \| 2.2 \| flavien chipault (fra) \| leboulou row 5 : 6-11 march \| giro del capo \| south africa \| 2.2 \| alexander efimkin (rus \| barloworld row 6 : 17-23 march \| tour of libya \| libya \| 2.2 \| ahmed mohamed ali ( \| libya (national team) row 7 : 8 april \| grand prix de la ville de tunis \| tunisia \| 1.2 \| ahmed mraihi ( \| tunisia (national team) row 8 : 28 april-5 may \| tour de la pharmacie centrale de tunisie \| tunisia \| 2.2 \| hassen ben nasser ( \| pharmacie centrale row 9 : 14-20 may \| boucle du coton \| burkina faso \| 2.2 \| saidou rouamba (bur) \| burkina faso (national row 10 : 8-17 june \| tour du maroc \| morocco \| 2.2 \| nicholas white (rsa \| south africa (national team) row 11 : 30 august-8 september \| tour du senegal \| senegal \| 2.2 \| adil jelloul (mar) \| frmc-maroc row 12 : 16 september \| dome 2 dome cycling spectacular \| south africa \| 1.2 \| jaco venter (rsa) \| team neotel ] Execute this SQL based on the above table: select count ( winner ) where uci rating < 1362	12
[ header: map or catalog \| creator \| time created \| contets \| links row 1 : shi shen astronomy (石申天文shi \| shi shen (石申) \| c. 350 b.c \| 138 constellations and the name of 810 \| [citation needed] row 2 : five star prediction device (安徽阜陽五星候占儀) \| None \| 168 bc \| also an equatorial device \| [citation needed] row 3 : eastern han celestial globe and star maps \| zhang heng (张衡) \| 117 ad \| None \| None row 4 : northern wei period iron armillary sphere \| hu lan (斛蘭) \| bei wei \| level being used in this kind of device \| None row 5 : kitora kofun 法隆寺f \| None \| c. late 7th century - early \| detailed whole sky map \| None row 6 : japanese star chart 瀧谷寺 \| None \| c. 14th or 15th centuries \| None \| None row 7 : star chart \| mao kun 茅坤 \| c. 1422 \| polaris compared with southern cross and al \| zh:郑和航海图 row 8 : ming dynasty star map \| matteo ricci 利玛窦li \| c. 1550 \| None \| None row 9 : picture depicted song dynasty \| japanese painter \| 1675 \| showing top portion of a celestial globe \| file:chinese astronomer 1675 row 10 : japanese edo period \| (渋川昔尹she chuan xi \| 1699 元禄十二年 \| including stars from wu shien ( \| None row 11 : korean star map stone \| None \| c. 17th century \| None \| None row 12 : ceramic ink sink cover \| None \| c. 17th century \| showing big dipper \| None row 13 : korean star maps, north and south \| None \| 1742 \| None \| None row 14 : north sky map 清嘉庆年间huang dao \| xu choujun 徐朝俊 \| 1807 ad \| more than 1000 stars and the 28 consellation \| None row 15 : japanese star chart \| 伊能忠誨 \| c. 19th century \| None \| None row 16 : japanese edo period \| 古筆源了材 \| 1835 天保6年 \| None \| None row 17 : japanese edo period \| 藤岡有貞 \| 1845 弘化2年 \| None \| None row 18 : japanese star chart 梅園星図 \| 高橋景保 \| None \| None \| None row 19 : korean book of new song of the \| 李俊養 \| 1862 \| star maps and a revised version of the song \| None row 20 : korean map of heaven and earth \| None \| c. 19th century \| 28 constellations and geographic map \| None row 21 : korean star chart 渾天図 \| 朴? \| None \| None \| None ] Execute this SQL based on the above table: select count ( links )	4
[ header: season \| tier \| division \| place row 1 : 1991-98 \| 5 \| regional \| None row 2 : 1998/99 \| 4 \| 3a \| 8th row 3 : 1999/00 \| 4 \| 3a \| 5th row 4 : 2000/01 \| 4 \| 3a \| 7th row 5 : 2001/02 \| 4 \| 3a \| 9th row 6 : 2002/03 \| 4 \| 3a \| 9th row 7 : 2003/04 \| 4 \| 3a \| 2nd row 8 : 2004/05 \| 4 \| 3a \| 8th row 9 : 2005/06 \| 4 \| 3a \| 6th ] Execute this SQL based on the above table: select season where season in ( '1991-98' , '2004/05' ) order by tier asc limit 1	2004/05
[ header: title \| year \| peak chart positions us \| peak chart positions us r&b \| peak chart positions us rap \| peak chart positions uk \| certifications \| album row 1 : "can't you see" (total \| 1995 \| 13 \| 3 \| None \| 43 \| riaa: gold \| total row 2 : "player's anthem" (with \| 1995 \| 13 \| 7 \| 2 \| None \| riaa: gold \| conspiracy row 3 : "this time around" (michae \| 1995 \| None \| None \| None \| None \| None \| history row 4 : "you can't stop the reign" ( \| 1996 \| None \| None \| None \| 40 \| None \| you can't stop the reign row 5 : "only you" (112 featuring the notorious \| 1996 \| 13 \| 3 \| None \| None \| riaa: gold \| 112 row 6 : "get money" (with junior m. \| 1996 \| 17 \| 4 \| 1 \| 63 \| riaa: platinum \| conspiracy row 7 : "crush on you" (lil' \| 1996 \| 6 \| None \| 1 \| 36 \| None \| hard core row 8 : "stop the gunfight" (trapp featuring \| 1997 \| 77 \| 35 \| 9 \| None \| None \| stop the gunfight row 9 : "be the realist" (trapp featuring \| 1997 \| None \| 65 \| 14 \| None \| None \| stop the gunfight row 10 : "been around the world" (puff \| 1997 \| 2 \| 7 \| 1 \| 4 \| None \| no way out row 11 : "it's all about the benja \| 1997 \| 2 \| 7 \| 1 \| 20 \| None \| no way out row 12 : "victory" (puff daddy featuring \| 1998 \| 19 \| 13 \| 2 \| None \| None \| no way out row 13 : "runnin' (dying to live \| 2004 \| 19 \| 11 \| 5 \| 17 \| None \| tupac: resurrection row 14 : "angels" (diddy-dir \| 2009 \| 116 \| 71 \| None \| None \| None \| last train to paris ] Execute this SQL based on the above table: select count ( certifications ) where peak chart positions us < 577	4
[ header: position \| swara \| short name \| notation \| mnemonic row 1 : 1 \| shadja \| sa \| s \| sa row 2 : 2 \| shuddha rishabha \| ri \| r1 \| ra row 3 : 3 \| chatushruti rishabha \| ri \| r2 \| ri row 4 : 3 \| shuddha gandhara \| ga \| g1 \| ga row 5 : 4 \| shatshruti ris \| ri \| r3 \| ru row 6 : 4 \| sadharana gandhara \| ga \| g2 \| gi row 7 : 5 \| antara gandhara \| ga \| g3 \| gu row 8 : 6 \| shuddha madhyama \| ma \| m1 \| ma row 9 : 7 \| prati madhyama \| ma \| m2 \| mi row 10 : 8 \| panchama \| pa \| p \| pa row 11 : 9 \| shuddha dhaivat \| dha \| d1 \| dha row 12 : 10 \| chatushruti dhaivata \| dha \| d2 \| dhi row 13 : 10 \| shuddha nishada \| ni \| n1 \| na row 14 : 11 \| shatshruti dha \| dha \| d3 \| dhu row 15 : 11 \| kaisiki nishada \| ni \| n2 \| ni row 16 : 12 \| kakali nishada \| ni \| n3 \| nu ] Execute this SQL based on the above table: select count ( * ) where short name = 'pa'	1
[ header: camp \| div sec division \| admin district \| 9 feb \| 11 feb \| 16 feb \| 25 feb \| 27 feb \| 2 mar \| 4 mar \| 6 mar \| 11 mar \| 13 mar \| 24 mar \| 30 mar \| 31 mar row 1 : ariviththodam sivanantha \| vengalachedikulam \| vav \| 581 \| 581 \| 581 \| 581 \| 584 \| 584 \| 585 \| 585 \| 583 \| 583 \| 601 \| 601 \| 601 row 2 : cheddikulam maha vidy \| vengalachedikulam \| vav \| 1624 \| 1624 \| 1624 \| 1965 \| 1965 \| 1965 \| 1996 \| 1996 \| 2001 \| 2001 \| 1995 \| 1995 \| 1995 row 3 : nelukkulam kala \| vavuniya \| vav \| 2829 \| 2829 \| 2829 \| 3071 \| 3084 \| 3084 \| 3084 \| 3068 \| 3068 \| 3082 \| 3101 \| 3070 \| 3070 row 4 : pampamadhu hostel school \| vavuniya \| vav \| 2779 \| 2779 \| 4181 \| 4131 \| 4131 \| 4131 \| 4131 \| 4108 \| 4108 \| 4108 \| 4178 \| 4178 \| 4178 row 5 : ponthoodam government tamil mixed school \| vavuniya \| vav \| 1351 \| 1351 \| 1351 \| 1365 \| 1310 \| 1310 \| 1310 \| 1308 \| 1308 \| 1320 \| 1327 \| 1319 \| 1319 row 6 : poonathoddam college of education \| vavuniya \| vav \| 4406 \| 4406 \| 5302 \| 5302 \| 5009 \| 5009 \| 5009 \| 5036 \| 5036 \| 5119 \| 5236 \| 5243 \| 5243 row 7 : vavuniya tamil \| vavuniya \| vav \| None \| 1200 \| 4390 \| 3838 \| 4085 \| 4085 \| 5475 \| 3540 \| 3390 \| 3390 \| 3963 \| 3969 \| 3969 row 8 : kaithady palmyra research \| thenmarachchi \| jaf \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| 357 row 9 : kodikamam government tam \| thenmarachchi \| jaf \| None \| None \| 411 \| 424 \| 503 \| 503 \| 655 \| 711 \| 706 \| 706 \| 1006 \| 1006 \| 1006 row 10 : thirunagar old court house \| jaffna \| jaf \| None \| None \| 73 \| 74 \| 49 \| 49 \| 108 \| 108 \| 113 \| 113 \| 114 \| 114 \| 140 row 11 : kalimoddai \| nanaddan \| man \| None \| None \| 445 \| 445 \| 445 \| 445 \| 445 \| 454 \| 454 \| 454 \| 454 \| 454 \| 454 row 12 : mannar district general hospital \| mannar town \| man \| None \| None \| None \| None \| 279 \| 279 \| 279 \| 279 \| 279 \| 279 \| 279 \| 279 \| 279 row 13 : sirukandal \| nanaddan \| man \| None \| None \| 357 \| 357 \| 357 \| 357 \| 357 \| 350 \| 350 \| 350 \| 350 \| 350 \| 350 row 14 : thampalakamam peripheral unit \| thampalakamam \| tri \| None \| None \| None \| 33 \| 76 \| 79 \| 77 \| 77 \| 75 \| 75 \| 35 \| 35 \| 35 row 15 : polonnaruwa general hospital \| None \| pol \| None \| None \| None \| 86 \| 171 \| 171 \| 171 \| 171 \| 171 \| 171 \| 100 \| 100 \| 92 ] Execute this SQL based on the above table: select 24 mar where camp = 'sirukandal'	350.0
[ header: frequency band \| band number \| radio interface \| generation \| status \| notes row 1 : 850 mhz \| 5 \| gsm/gprs/ \| 2g \| roaming \| not operated by t-mobile, except for row 2 : 850 mhz clr \| 5 \| umts/hspa \| 3g \| roaming \| not operated by t-mobile. after the row 3 : 1900 mhz \| 2 \| gsm/gprs/ \| 2g \| in service \| most of this spectrum will be upgraded to 4g row 4 : 1700/2100 mhz a \| 4 \| umts/dc-hspa 42 \| 4g \| in service \| has marketed 3g hspa+ as row 5 : 1900 mhz pcs \| 2 \| umts/hspa+ 21mbit \| 4g \| in service/building out \| hspa+ 21mbps on the 1900 row 6 : 1700/2100 mhz a \| 4 \| lte \| 4g \| in service/building out \| covers 210 million pops as of march, row 7 : 700 mhz block a \| 12 \| lte \| 4g \| rollout starts by q4 2014 \| spectrum acquired from verizon wireless row 8 : 1900 mhz pcs \| 2 \| lte \| 4g \| rolling out in 2014 \| None ] Execute this SQL based on the above table: select notes where id = ( select id where notes = 'most of this spectrum will be upgraded to 4g/lte networks in the next two years. (more details see 4g lte upgrade) it is unclear if that means this network will be decommissioned anytime soon, but it is possible' ) - 1	not operated by t-mobile. after the failed acquisition of t-mobile usa by at&t, part of the failed acquisition was a 7-year at&t 3g roaming agreement
[ header: rank \| circuit \| headquarters \| screens \| sites row 1 : 1 \| regal entertainment group \| knoxville,tn \| 7318 \| 574 row 2 : 2 \| amc entertainment inc \| kansas city, mo \| 4988 \| 344 row 3 : 3 \| cinemark theatres \| plano, tx \| 4434 \| 332 row 4 : 4 \| carmike cinemas, inc \| columbus, ga \| 2476 \| 249 row 5 : 5 \| cineplex entertainment \| toronto, on \| 1672 \| 136 row 6 : 6 \| marcus theatres \| milwaukee, wi \| 687 \| 55 row 7 : 7 \| harkins theatres \| phoenix, az \| 440 \| 31 row 8 : 8 \| national amusements \| dedham, ma \| 423 \| 32 row 9 : 9 \| bow tie cinemas \| ridgefield, ct \| 388 \| 63 row 10 : 10 \| georgia theatre company \| st. simon's island, \| 326 \| 32 ] Execute this SQL based on the above table: select abs ( ( select screens where headquarters = 'dedham, ma' ) - ( select screens where headquarters = 'knoxville,tn' ) )	6895.0
[ 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 name where name in ( 'wacharee ritthiwat' , 'None' ) order by result desc limit 1	wacharee ritthiwat
[ header: year \| round \| against \| score \| scorers row 1 : 1930 \| group b \| yugoslavia \| 1-2 \| preguinho row 2 : 1930 \| group b \| bolivia \| 4-0 \| moderato (2), preguinho (2) row 3 : 1934 \| round 1 \| spain \| 1-3 \| leonidas row 4 : 1938 \| round 1 \| poland \| 6-5 (aet) \| leonidas (3), romeu, row 5 : 1938 \| semi-final \| italy \| 1-2 \| romeu row 6 : 1950 \| group a \| switzerland \| 2-2 \| alfredo, baltazar row 7 : 1950 \| final round \| spain \| 6-1 \| ademir (2), jair, row 8 : 1950 \| final round \| uruguay \| 1-2 \| friaca row 9 : 1954 \| group a \| mexico \| 5-0 \| baltazar, didi, ping row 10 : 1954 \| quarter-final \| hungary \| 2-4 \| djalma santo row 11 : 1962 \| quarter-final \| england \| 3-1 \| garrincha (2), vava row 12 : 1962 \| semi-final \| chile \| 4-2 \| garrincha (2), vava (2) row 13 : 1970 \| group c \| czechoslovakia \| 4-1 \| rivelino, pele, row 14 : 1970 \| group c \| romania \| 3-2 \| pele (2), jairzinho row 15 : 1970 \| semi-final \| uruguay \| 3-1 \| clodoaldo, j row 16 : 1974 \| group b \| yugoslavia \| 0-0 \| None row 17 : 1974 \| group b \| scotland \| 0-0 \| None row 18 : 1974 \| group a round 2 \| east germany \| 1-0 \| rivelino row 19 : 1978 \| group c \| austria \| 1-0 \| roberto dinamite row 20 : 1978 \| bronze final \| italy \| 2-1 \| nelinho, dirceu row 21 : 1982 \| group f \| soviet union \| 2-1 \| socrates, eder row 22 : 1982 \| group f \| new zealand \| 4-0 \| zico (2), falcao, serg row 23 : 1982 \| group c round 2 \| argentina \| 3-1 \| zico, serginho, junior row 24 : 1986 \| group d \| spain \| 1-0 \| socrates row 25 : 1986 \| group d \| northern ireland \| 3-0 \| careca (2), josimar row 26 : 1986 \| round of 16 \| poland \| 4-0 \| socrates, josimar, e row 27 : 1986 \| quarter-final \| france \| 1-1 (aet) \| careca row 28 : 1990 \| group c \| costa rica \| 1-0 \| muller row 29 : 1994 \| final \| italy \| 0-0 (aet) \| None row 30 : 1998 \| semi-final \| netherlands \| 1-1 (aet) \| ronaldo row 31 : 2002 \| group c \| turkey \| 2-1 \| ronaldo, rivaldo row 32 : 2002 \| round of 16 \| belgium \| 2-0 \| rivaldo, ronaldo row 33 : 2002 \| quarter-final \| england \| 2-1 \| rivaldo, ronaldinho row 34 : 2010 \| round of 16 \| chile \| 3-0 \| juan, luis fabian row 35 : 2010 \| quarter-final \| netherlands \| 1-2 \| robinho ] Execute this SQL based on the above table: select count ( scorers ) where score = 577	0
[ header: heat \| time \| pos \| rider \| country row 1 : sf 1 \| 2nd race: 12.101 s 3r \| 1 \| lori-ann muenzer \| canada row 2 : sf 1 \| 1st race: 11.802 s \| 2 \| anna meares \| australia row 3 : sf 2 \| 2nd race: 11.965 s 3 \| 1 \| tamilla abassova \| russia row 4 : sf 2 \| 1st race: 11.893 s \| 2 \| svetlana grankovs \| russia ] Execute this SQL based on the above table: select country order by country limit 179	australia, canada, russia, russia
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 1995-08-06 \| kyoto, japan \| costa rica \| 3-0 \| won \| friendly row 2 : 2 \| 1995-10-24 \| tokyo, japan \| saudi arabia \| 2-1 \| won \| friendly row 3 : 3 \| 1996-12-09 \| al ain, united arab emir \| uzbekistan \| 4-0 \| won \| 1996 afc asian cup group row 4 : 4 \| 1997-03-25 \| muscat, oman \| macau \| 10-0 \| won \| 1998 fifa world cup qualification row 5 : 5 \| 1997-06-22 \| tokyo, japan \| macau \| 10-0 \| won \| 1998 fifa world cup qualification row 6 : 6 \| 1997-11-01 \| seoul, korea republic \| south korea \| 2-0 \| won \| 1998 fifa world cup qualification row 7 : 7 \| 2000-10-14 \| sidon, lebanon \| saudi arabia \| 4-1 \| won \| 2000 afc asian cup group row 8 : 8 \| 2000-10-24 \| beirut, lebanon \| iraq \| 4-1 \| won \| 2000 afc asian cup quarter row 9 : 9 \| 2000-10-24 \| beirut, lebanon \| iraq \| 4-1 \| won \| 2000 afc asian cup quarter ] Execute this SQL based on the above table: select count ( competition )	9
[ header: pos \| no. \| driver \| team \| laps \| time/retired \| grid \| laps led \| points row 1 : 2 \| 4 \| j. r. hilde \| panther racing \| 200 \| 2.1086 \| 12 \| 7 \| 44 row 2 : 3 \| 38 \| graham rahal \| chip ganassi racing \| 200 \| 5.5949 \| 29 \| 6 \| 38 row 3 : 4 \| 82 \| tony kanaan \| kv racing technology - lotus \| 200 \| 7.487 \| 22 \| 0 \| 36 row 4 : 5 \| 9 \| scott dixon (w)1 \| chip ganassi racing \| 200 \| 9.5434 \| 2 \| 73 \| 45 row 5 : 7 \| 30 \| bertrand baguette \| rahal letterman lanigan racing \| 200 \| 23.9631 \| 14 \| 11 \| 30 row 6 : 9 \| 26 \| marco andretti \| andretti autosport \| 200 \| 25.7411 \| 27 \| 0 \| 25 row 7 : 12 \| 10 \| dario franchitti (w) \| chip ganassi racing \| 200 \| 56.4167 \| 9 \| 51 \| 24 row 8 : 14 \| 12 \| will power \| team penske \| 199 \| +1 lap \| 5 \| 0 \| 26 row 9 : 15 \| 14 \| vitor meira \| a. j. foyt enterprises \| 199 \| +1 lap \| 11 \| 0 \| 19 row 10 : 17 \| 3 \| helio castroneves (w \| team penske \| 199 \| +1 lap \| 16 \| 0 \| 17 row 11 : 18 \| 44 \| buddy rice (w) \| panther racing \| 198 \| +2 laps \| 7 \| 0 \| 20 row 12 : 19 \| 19 \| alex lloyd \| dale coyne racing \| 198 \| +2 laps \| 30 \| 0 \| 15 row 13 : 20 \| 36 \| pippa mann (r) \| conquest racing \| 198 \| +2 laps \| 31 \| 0 \| 15 row 14 : 21 \| 24 \| ana beatriz \| dreyer & reinbold racing \| 197 \| +3 laps \| 32 \| 0 \| 15 row 15 : 22 \| 43 \| john andretti \| andretti autosport \| 197 \| +3 laps \| 17 \| 0 \| 16 row 16 : 24 \| 11 \| davey hamilton \| dreyer & reinbold racing \| 193 \| +7 laps \| 15 \| 0 \| 16 row 17 : 25 \| 23 \| paul tracy \| dreyer & reinbold racing \| 175 \| +25 laps \| 24 \| 0 \| 13 row 18 : 26 \| 99 \| townsend bell \| sam schmidt motorsports \| 157 \| contact \| 4 \| 0 \| 21 row 19 : 28 \| 77 \| alex tagliani \| sam schmidt motorsports \| 147 \| contact \| 1 \| 20 \| 25 row 20 : 29 \| 6 \| james hinchcliffe (r) \| newman/haas racing \| 99 \| contact \| 13 \| 0 \| 14 row 21 : 31 \| 78 \| simona de silvestro \| hvm racing \| 44 \| handling \| 23 \| 0 \| 14 row 22 : 33 \| 5 \| takuma sato \| kv racing technology - lotus \| 20 \| contact \| 10 \| 0 \| 14 ] Execute this SQL based on the above table: select count ( pos )	22
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 2001 \| asian junior championships \| bandar seri begawan, brun \| 1st \| 110 m hurdles \| 14.05 row 2 : 2002 \| world junior championships \| kingston, jamaica \| 2nd \| 110 m hurdles \| 13.58 row 3 : 2002 \| asian games \| busan, south korea \| 4th \| 110 m hurdles \| 13.92 row 4 : 2003 \| world indoor championships \| birmingham, united kingdom \| 18th (h) \| 60 m hurdles \| 7.81 row 5 : 2003 \| world championships \| paris, france \| 6th \| 110 m hurdles \| 13.55 row 6 : 2003 \| asian championships \| manila, philippines \| 1st \| 110 m hurdles \| 13.5 row 7 : 2004 \| world indoor championships \| budapest, hungary \| 17th (h) \| 60 m hurdles \| 7.75 row 8 : 2004 \| olympic games \| athens, greece \| 33rd (h) \| 110 m hurdles \| 13.68 row 9 : 2005 \| world championships \| helsinki, finland \| 9th (sf) \| 110 m hurdles \| 13.44 row 10 : 2005 \| asian championships \| incheon, south korea \| 2nd \| 110 m hurdles \| 13.44 row 11 : 2006 \| world indoor championships \| moscow, russia \| 8th (sf) \| 60 m hurdles \| 7.63 row 12 : 2006 \| asian games \| doha, qatar \| 2nd \| 110 m hurdles \| 13.28 row 13 : 2007 \| world championships \| osaka, japan \| 5th \| 110 m hurdles \| 13.19 row 14 : 2008 \| world indoor championships \| valencia, spain \| 9th (sf) \| 60 m hurdles \| 7.65 row 15 : 2008 \| olympic games \| beijing, china \| 8th (sf) \| 110 m hurdles \| 13.42 row 16 : 2009 \| asian championships \| guangzhou, china \| 2nd \| 110 m hurdles \| 13.67 row 17 : 2009 \| world championships \| berlin, germany \| 8th (sf) \| 110 m hurdles \| 13.42 row 18 : 2010 \| world indoor championships \| doha, qatar \| 16th (sf) \| 60 m hurdles \| 7.82 row 19 : 2010 \| asian games \| guangzhou, china \| 2nd \| 110 m hurdles \| 13.38 row 20 : 2011 \| asian championships \| kobe, japan \| 2nd \| 110 m hurdles \| 13.56 row 21 : 2011 \| world championships \| daegu, south korea \| 9th (sf) \| 110 m hurdles \| 13.57 row 22 : 2012 \| world indoor championships \| istanbul, turkey \| 24th (h) \| 60m hurdles \| 8.15 row 23 : 2012 \| olympic games \| london, united kingdom \| 37th (h) \| 110 m hurdles \| 13.78 ] Execute this SQL based on the above table: select abs ( ( select notes where competition = 'world championships' ) - ( select notes where competition = 'asian games' ) )	0.3699999999999992
[ header: round \| 100 yd (91 m) \| 80 yd (73 m) \| 60 yd (55 m) \| 50 yd (46 m) \| 40 yd (37 m) row 1 : york \| 6 doz \| 4 doz \| 2 doz \| None \| None row 2 : hereford \| None \| 6 doz \| 4 doz \| 2 doz \| None row 3 : st. george \| 3 doz \| 3 doz \| 3 doz \| None \| None row 4 : albion \| None \| 3 doz \| 3 doz \| 3 doz \| None row 5 : windsor \| None \| None \| 3 doz \| 3 doz \| 3 doz row 6 : new western \| 4 doz \| 4 doz \| None \| None \| None row 7 : long western \| None \| 4 doz \| 4 doz \| None \| None row 8 : western \| None \| None \| 4 doz \| 4 doz \| None row 9 : american \| None \| None \| 2 1⁄2 doz \| 2 1⁄2 doz \| 2 1⁄2 doz row 10 : new national \| 4 doz \| 2 doz \| None \| None \| None row 11 : long national \| None \| 4 doz \| 2 doz \| None \| None row 12 : national \| None \| None \| 4 doz \| 2 doz \| None row 13 : new warwick \| 2 doz \| 2 doz \| None \| None \| None row 14 : long warwick \| None \| 2 doz \| 2 doz \| None \| None row 15 : warwick \| None \| None \| 2 doz \| 2 doz \| None ] Execute this SQL based on the above table: select ( select round where 50 yd (46 m) = '4 doz' ) <= 1352	0
[ header: school year \| class a \| class aa \| class aaa \| class aaaa \| class aaaaa row 1 : 1994-95 \| menard \| van alstyne \| cameron yoe \| wichita falls \| weslaco row 2 : 1995-96 \| era \| coahoma \| colorado city \| livingston \| duncanville row 3 : 1996-97 \| sulphur bluff \| marion \| colorado city \| snyder \| duncanville row 4 : 1997-98 \| westbrook \| edgewood \| perryton \| san angelo lake view \| flower mound marcus row 5 : 1998-99 \| graford \| lindsay \| hamshire-fannett \| brownwood \| weslaco row 6 : 1999-2000 \| garden city \| keene \| giddings \| friendswood \| college station a&m consolidated row 7 : 2000-01 \| granger \| edgewood \| midland greenwood \| friendswood \| college station a&m consolidated row 8 : 2001-02 \| lazbuddie \| edgewood \| giddings \| friendswood \| pasadena dobie row 9 : 2002-03 \| rocksprings \| rosebud-lott \| pearsall \| harlingen south \| san antonio clark row 10 : 2003-04 \| lazbuddie \| wall \| hamshire-fannett \| friendswood \| klein row 11 : 2004-05 \| loop \| mount pleasant chapel hill \| llano \| sherman \| college station a&m consolidated row 12 : 2005-06 \| wellington \| centerville \| hamshire-fannett \| brownwood \| abilene cooper row 13 : 2006-07 \| springlake-earth \| crawford \| princeton \| friendswood \| college station a&m consolidated row 14 : 2007-08 \| springlake-earth \| grandview \| hamshire-fannett \| sherman \| mission sharyland row 15 : 2008-09 \| garden city \| shelbyville \| lubbock-cooper \| friendswood \| humble kingwood ] Execute this SQL based on the above table: select class aaaa where class aaaaa = 'pasadena dobie'	friendswood
[ header: album / name \| artist(s) \| label \| role/credit \| date \| chart# row 1 : summary of johnny's world \| news, kat-tun & \| johnny's entertainment, japan \| songwriter, lyricist \| april 19, 2005 \| no.1 oricon japan dvd chart gold row 2 : w (double you) \| miss love tantei \| up-front works, japan \| songwriter \| september 7, 2005 \| top 10 oricon japan single chart row 3 : v-u-densetsu \| biyuden \| up-front works, japan \| songwriter \| february 15, 2006 \| #1 oricon japan dvd chart row 4 : farewell \| van tomiko \| avex trax, japan \| songwriter, lyricist \| march 29, 2006 \| top 10 oricon japan album chart row 5 : bokunopagewomekureb \| park yong ha \| pony canyon, japan \| songwriter, lyricist \| january 1, 2007 \| #2 oricon single chart row 6 : yong ha's melody \| park yong ha \| pony canyon, japan \| songwriter \| march 21, 2007 \| top 40 oricon japan album chart row 7 : live of kat-tun "real face \| kat-tun \| johnny's entertainment, japan \| songwriter, lyricist \| april 11, 2007 \| #1 oricon japan dvd chart / platinum row 8 : horizon \| field of view yuya asa \| tokuma communication, japan \| songwriter \| april 25, 2007 \| None row 9 : hey! say! jump spring con 08 \| hey! say! jump \| johnny's entertainment, japan \| producer, songwriter, lyricist, \| february, 2008 \| None row 10 : kat-tun live tour 2008 queen of \| kat-tun \| johnny's entertainment, japan \| producer, songwriter, arranger \| january 1, 2009 \| #1 oricon japan dvd chart / gold row 11 : break the records - by you & for \| kat-tun \| johnny's entertainment, japan \| songwriter \| april 29, 2009 \| #1 oricon japan album chart / platinum row 12 : hey! say! jumptour ' \| hey! say! jump \| johnny's entertainment, japan \| producer, songwriter, lyricist \| april 29, 2009 \| #1 oricon japan dvd chart / gold row 13 : no more pain \| kat-tun \| johnny's entertainment, japan \| songwriter, producer, keyboard & programming \| june 16, 2010 \| #1 oricon japan album chart / platinum row 14 : superstar (digital single) \| 4minute \| mnet, korea \| publishing \| july 19, 2010 \| mnet tv "superstar row 15 : dekotomo dx t \| kat-tun \| johnny's entertainment, japan \| songwriter, producer, keyboard & programming \| july 2010 \| japanese cellphone「テコとも★dx」 row 16 : marry me / marry you \| kim hyun joong ( \| keyeast, korea \| producer, songwriterr, keyboards, programming \| december 15, 2011 \| None row 17 : one 4 u digital single \| a-jax \| dsp entertainment, korea \| producer, songwriter, keyboards, programming, \| june 1, 2012 \| None row 18 : kis-my-mint \| kis-my-ft2 \| johnny's entertainment, japan \| producer, songwriter, keyboards, programming \| june 26, 2012 \| #1 oricon japan dvd chart / gold ] Execute this SQL based on the above table: select album / name where artist(s) = 'park yong ha'	bokunopagewomekureba (僕の頁をめくれは), yong ha's melody
[ header: rank \| name \| height ft (m) \| floors \| year \| coordinates \| notes row 1 : 1 \| ordway building \| 404 (123) \| 28 \| 1970 \| 37°48′36′′n 122° \| tallest building in both oakland and in row 2 : 2 \| kaiser center \| 390 (119) \| 28 \| 1960 \| 37°48′32′′n 122° \| tallest building constructed in the 1960s row 3 : 4 \| 1111 broadway \| 360 (110) \| 24 \| 1990 \| 37°48′10′′n 122° \| tallest building constructed in the 1990s row 4 : 5 \| kaiser engineering building \| 336 (102) \| 25 \| 1984 \| 37°48′21′′n 122° \| None row 5 : 7= \| em harris state office building \| 328 (100) \| 22 \| 1998 \| 37°48′23′′n 122° \| None row 6 : 7= \| ronald v. dellum \| 328 (100) \| 18 \| 1994 \| 37°48′16′′n 122° \| None row 7 : 7= \| ronald v. dellum \| 328 (100) \| 18 \| 1994 \| 37°48′18′′n 122° \| None row 8 : 10 \| oakland city hall \| 320 (98) \| 14 \| 1914 \| 37°48′19′′n 122° \| tallest building constructed in the 1910s; national row 9 : 12 \| 1330 broadway \| 297 (91) \| 21 \| 1956-1959 \| 37°48′14′′n 122° \| None row 10 : 13 \| pacific bell building \| 296 (90) \| 20 \| 1985 \| 37°48′37′′n 122° \| None row 11 : 14 \| 555 city center \| 279 (85) \| 20 \| 2002 \| 37°48′13′′n 122° \| None row 12 : 15 \| park bellevue tower \| 270 (82) \| 25 \| 1969 \| 37°48′28′′n 122° \| None row 13 : 16 \| st. paul's towers \| 267 (81) \| 22 \| 1966 \| 37°48′42′′n 122° \| None row 14 : 17 \| the grand apartments \| 263 (80) \| 22 \| 2008 \| 37°48′41′′n 122° \| None row 15 : 18 \| central building \| 235 (72) \| 15 \| 1926 \| 37°48′15′′n 122° \| None row 16 : 19 \| bank of america building \| 225 (69) \| 18 \| 1907 \| 37°48′10′′n 122° \| tallest building constructed in the decade of 1900 ] Execute this SQL based on the above table: select name where id = ( select id where name = '1111 broadway' ) + 1	kaiser engineering building
[ header: name \| year built \| country \| town \| height \| remarks row 1 : glacial aerial tramway kaprun i \| 1966 \| austria \| kaprun \| 113.6 m \| the tallest pylon is on the third row 2 : mississippi aerial river transit \| 1984 \| usa \| new orleans \| 109 m \| the tallest pylon on a row 3 : torre jaume i \| 1931 \| spain \| barcelona \| 107 m \| intermediate stop of the harbour aerial tramway, also row 4 : gant hohtaelli aerial tram \| None \| switzerland \| zermatt \| 94 m \| one pylon row 5 : london emirates air line \| early 2012 \| uk \| london \| 88 m \| north main tower. river thames aerial row 6 : singapore cable car \| 1972 \| singapore \| singapore \| 88 m \| pylon i row 7 : eibsee aerial tramway \| 1962 \| germany \| garmisch-partenkirchen \| 85 m \| pylon ii row 8 : nizhny novgorod vol \| 2012 \| russia \| nizhny novgorod \| 82 m \| None row 9 : mittersill goods aerial tramway \| 1940s \| austria \| mittersill \| 80 m \| two pylons for a tramway row 10 : singapore cable car \| 1972 \| singapore \| singapore \| 80 m \| pylon ii row 11 : 3s aerial tramway \| 2004 \| austria \| kitzbuhel \| 80 m \| one pylon row 12 : torre sant sebasti \| 1931 \| spain \| barcelona \| 78 m \| terminal of harbour aerial tramway row 13 : roosevelt island tram \| 1976 \| usa \| new york city \| 76 m \| central pylon of commuter tramway row 14 : wendelstein aerial tramway \| 1970 \| germany \| bayerischzell-osterhof \| 75 m \| None row 15 : vinpearl cable car \| 2007 \| vietnam \| nha trang \| 75 m \| 7 pylons standing in the sea. row 16 : sandia peak tramway \| 1965 \| usa \| albuquerque \| 70.7 m \| pylon 1, inclined at an angle of 18 row 17 : eibsee aerial tramway \| 1962 \| germany \| garmisch-partenkirchen \| 65 m \| pylon i ] Execute this SQL based on the above table: select town group by town order by count ( * ) desc limit 1	singapore
[ header: model name \| date \| type \| thrust (kg) / power (eshp) \| fitted to row 1 : rtd-1/vdr-2 \| 1938 \| two-stage centrifugal compressor turbojet \| 500 kg estimated \| test-bed only row 2 : s-18/vdr-3 \| 1945 \| axial flow compressor turbojet \| 1,250 kg \| gu-vrd project row 3 : tr-1 \| 1946 \| 8-stage axial flow compressor turbojet \| 1,300 kg \| alekseyev i-21, ily row 4 : tr-1a \| 1947 \| 8-stage axial flow compressor turbojet \| 1,500 kg \| None row 5 : tr-2 \| 1947 \| None \| None \| projected growth version of tr-1 row 6 : tr-3 and al-5 \| 1949 \| 7-stage axial-flow turbojet \| 4,600 kg (at qualification in 1950) \| il-30, il-46, la row 7 : tr-7 \| 1950s \| supersonic compressor prototype of the al-7 \| None \| prototype for al-7 row 8 : al-7 \| 1954 \| 9-stage supersonic compressor turbojet \| 6,500 kg \| il-54, su-7b, row 9 : al-21 \| 1961 \| 14-stage axial compressor with variable stator \| 11,000 kg \| yak-38, tu-28 row 10 : al-31 \| 1976 \| twin-spool turbofan 0.6 bypass ratio \| 13,300 kg \| su-27, su-30, su-34 ] Execute this SQL based on the above table: select date where id = ( select id where date = 1949 ) + 1	1950s
[ header: year \| single \| peak chart positions us mod \| peak chart positions uk \| album row 1 : 1997 \| "automatic" \| None \| None \| losing streak row 2 : 1997 \| "dopeman" \| None \| None \| losing streak row 3 : 1997 \| "dopeman" (remix) \| None \| None \| non-album single row 4 : 1997 \| "howie j. rey \| None \| None \| non-album single row 5 : 1998 \| "history of a boring town" \| 39 \| None \| hello rockview row 6 : 2000 \| "all my best friends are metalheads" \| None \| 51 \| hello rockview row 7 : 2000 \| "all my best friends are metalheads" \| None \| None \| non-album single row 8 : 2001 \| "gainesville rock city" \| None \| 57 \| borders & boundaries row 9 : 2003 \| "she's gonna break soon" \| None \| 39 \| anthem row 10 : 2003 \| "the science of selling yourself short" \| 36 \| 78 \| anthem row 11 : 2003 \| "surrender" \| None \| None \| anthem row 12 : 2006 \| "overrated (everything is)" \| None \| 61 \| in with the out crowd row 13 : 2006 \| "the rest of my life" \| None \| 77 \| in with the out crowd row 14 : 2008 \| "does the lion city still \| None \| None \| gnv fla row 15 : 2008 \| "abandon ship" \| None \| None \| gnv fla ] Execute this SQL based on the above table: select year where album = 'anthem'	2003, 2003, 2003
[ header: month \| year \| player \| county \| club \| position row 1 : april \| 2006 \| mark foley \| limerick \| adare \| 4 row 2 : may \| 2006 \| eoin kelly \| tipperary \| mullinahone \| 15 row 3 : june \| 2006 \| joe deane \| cork \| killeagh \| 15 row 4 : august \| 2006 \| henry shefflin \| kilkenny \| ballyhale shamrocks \| 14 row 5 : september \| 2006 \| james fitzpatrick \| kilkenny \| ballyhale shamrocks \| 9 row 6 : may \| 2007 \| ronan curran \| cork \| st. finbarr's \| 6 row 7 : june \| 2007 \| ollie moran \| limerick \| ahane \| 11 row 8 : july \| 2007 \| dan shanahan \| waterford \| lismore \| 10 row 9 : august \| 2007 \| andrew o'shaughness \| limerick \| kilmallock \| 13 row 10 : september \| 2007 \| eddie brennan \| kilkenny \| graigue-ballycallan \| 13 row 11 : april \| 2008 \| shane mcgrath \| tipperary \| ballinahinch \| 9 row 12 : may \| 2008 \| david o'callaghan \| dublin \| st. mark's \| 13 row 13 : june \| 2008 \| brian o'connell \| clare \| wolfe tones \| 8 row 14 : july \| 2008 \| joe canning \| galway \| portumna \| 14 row 15 : august \| 2008 \| derek lyng \| kilkenny \| emeralds \| 9 row 16 : september \| 2008 \| eoin larkin \| kilkenny \| james stephens \| 12 row 17 : may \| 2009 \| eoin cadogan \| cork \| douglas \| 3 row 18 : june \| 2009 \| john mullane \| waterford \| de la salle \| 13 row 19 : september \| 2009 \| tommy walsh \| kilkenny \| tullaroan \| 5 row 20 : april \| 2010 \| ger farragher \| galway \| castlegar \| 8 row 21 : may \| 2010 \| ger farragher \| galway \| castlegar \| 8 row 22 : june \| 2010 \| damien hayes \| galway \| portumna \| 14 row 23 : july \| 2010 \| michael walsh \| waterford \| stradbally \| 6 row 24 : september \| 2010 \| lar corbett \| tipperary \| thurles sarsfield' \| 11 row 25 : june \| 2011 \| padraic maher \| tipperary \| thurles sarsfield' \| 6 row 26 : july \| 2011 \| lar corbett \| tipperary \| thurles sarsfield' \| 12 row 27 : september \| 2011 \| tommy walsh \| kilkenny \| tullaroan \| 5 row 28 : may \| 2012 \| willie hyland \| laois \| clough-ballacolla \| 7 row 29 : june \| 2012 \| patrick maher \| tipperary \| lorrha-dorrha \| 11 row 30 : september \| 2012 \| henry shefflin \| kilkenny \| ballyhale shamrocks \| 15 row 31 : may \| 2013 \| cahir healy \| laois \| portlaoise \| 8 row 32 : september \| 2013 \| shane o'donnell \| clare \| eire og \| 14 ] Execute this SQL based on the above table: select count ( month ) where year is null	0
[ header: week \| date \| opponent \| time \| game site \| tv \| result/score \| record \| bye row 1 : 1 \| september 6, 2007 \| indianapolis colts \| 8:30 pm edt \| rca dome \| nbc \| l 41 - 10 \| 0-1 \| row 2 : 2 \| september 16, 2007 \| tampa bay buccaneers \| 1:00 pm edt \| raymond james stadium \| fox \| l 31 - 14 \| 0-2 \| row 3 : 3 \| september 24, 2007 \| tennessee titans \| 8:30 pm edt \| louisiana superdome \| espn \| l 31 - 14 \| 0-3 \| row 4 : 4 \| None \| None \| None \| None \| None \| None \| None \| row 5 : 5 \| october 7, 2007 \| carolina panthers \| 1:00 pm edt \| louisiana superdome \| fox \| l 16 - 13 \| 0-4 \| row 6 : 6 \| october 14, 2007 \| seattle seahawks \| 8:15 pm edt \| qwest field \| nbc \| w 28 - 17 \| 1-4 \| row 7 : 7 \| october 21, 2007 \| atlanta falcons \| 1:00 pm edt \| louisiana superdome \| fox \| w 22 - 16 \| 2-4 \| row 8 : 8 \| october 28, 2007 \| san francisco 49ers \| 4:15 pm edt \| monster park \| fox \| w 31 - 10 \| 3-4 \| row 9 : 9 \| november 4, 2007 \| jacksonville jaguars \| 1:00 pm est \| louisiana superdome \| cbs \| w 41 - 24 \| 4-4 \| row 10 : 10 \| november 11, 2007 \| st. louis rams \| 1:00 pm est \| louisiana superdome \| fox \| l 37 - 29 \| 4-5 \| row 11 : 11 \| november 18, 2007 \| houston texans \| 1:00 pm est \| reliant stadium \| fox \| l 23 - 10 \| 4-6 \| row 12 : 12 \| november 25, 2007 \| carolina panthers \| 1:00 pm est \| bank of america stadium \| fox \| w 31 - 6 \| 5-6 \| row 13 : 13 \| december 2, 2007 \| tampa bay buccaneers \| 1:00 pm est \| louisiana superdome \| fox \| l 27 - 23 \| 5-7 \| row 14 : 14 \| december 10, 2007 \| atlanta falcons \| 8:30 pm est \| georgia dome \| espn \| w 34 - 14 \| 6-7 \| row 15 : 15 \| december 16, 2007 \| arizona cardinals \| 1:00 pm est \| louisiana superdome \| fox \| w 31-24 \| 7-7 \| row 16 : 16 \| december 23, 2007 \| philadelphia eagles \| 1:00 pm est \| louisiana superdome \| fox \| l 38-23 \| 7-8 \| row 17 : 17 \| december 30, 2007 \| chicago bears \| 1:00 pm est \| soldier field \| fox \| l 33-25 \| 7-9 \| ] Execute this SQL based on the above table: select abs ( ( select week where date = 'december 30, 2007' ) - ( select week where date = 'december 10, 2007' ) )	3.0
[ header: seat \| state \| majority \| member \| party row 1 : hinkler \| qld \| 0 \| paul neville \| npa row 2 : solomon \| nt \| 0.1 \| dave tollner \| lib row 3 : adelaide \| sa \| 0.2 \| hon trish worth \| lib row 4 : canning \| wa \| 0.4 \| don randall \| lib row 5 : dobell \| nsw \| 0.4 \| ken ticehurst \| lib row 6 : parramatta \| nsw \| 1.1 \| ross cameron \| lib row 7 : mcewen \| vic \| 1.2 \| fran bailey \| lib row 8 : paterson \| nsw \| 1.4 \| bob baldwin \| lib row 9 : herbert \| qld \| 1.6 \| peter lindsay \| lib row 10 : richmond \| nsw \| 1.6 \| hon larry anthony \| npa row 11 : deakin \| vic \| 1.7 \| philip barresi \| lib row 12 : eden-monaro \| nsw \| 1.7 \| gary nairn \| lib row 13 : hindmarsh \| sa \| 1.9 \| hon christine gallus \| lib ] Execute this SQL based on the above table: select count ( * ) where state < 6	0
[ header: # \| date \| opponent \| score \| win \| loss \| save \| attendance \| record row 1 : 106 \| august 2 \| pirates \| 2-3 \| rick white (4-5) \| bobby munoz (7-4) \| dan miceli (2) \| 40164 \| 51-55 row 2 : 107 \| august 3 \| pirates \| 7-0 \| danny jackson (14-5) \| steve cooke (4-10) \| none \| 36542 \| 52-55 row 3 : 108 \| august 4 \| pirates \| 1-5 \| jon lieber (6-6) \| curt schilling (1-8) \| none \| 37481 \| 52-56 row 4 : 109 \| august 5 \| expos \| 0-5 \| pedro martinez (10-5) \| david west (4-9) \| none \| 33642 \| 52-57 row 5 : 110 \| august 6 \| expos \| 3-4 (11) \| john wetteland (4-6) \| doug jones (2-4) \| jeff shaw (1) \| 41699 \| 52-58 row 6 : 111 \| august 7 \| expos \| 4-6 \| ken hill (16-5) \| bobby munoz (7-5) \| mel rojas (16) \| 45346 \| 52-59 row 7 : 112 \| august 8 \| mets \| 2-3 \| bobby j. jones (12 \| danny jackson (14-6) \| john franco (29) \| 35977 \| 52-60 row 8 : 113 \| august 9 \| mets \| 5-1 \| curt schilling (2-8) \| mike remlinger (1-5) \| none \| 31740 \| 53-60 row 9 : 114 \| august 10 \| mets \| 2-6 \| bret saberhagen ( \| david west (4-10) \| john franco (30) \| 36716 \| 53-61 row 10 : 115 \| august 11 \| mets \| 2-1 (15) \| tom edens (5-1) \| mauro gozzo (3-5) \| none \| 37605 \| 54-61 ] Execute this SQL based on the above table: select count ( record ) where attendance = 40164	1
[ header: season \| date \| jia-a/csl winner \| result \| fa cup winner \| scorers \| stadium row 1 : 1995 \| 9 december 1995 \| shanghai shenhua \| 1 - 0 \| jinan taishan ( \| fan zhiyi \| hongkou stadium, shangha row 2 : 1996 \| 9 march 1997 \| dalian wanda (now dalian \| 3 - 2 \| beijing guoan \| wang tao (2), l \| shenzhen stadium, shenzhen row 3 : 1997 \| 12 march 1998 \| dalian wanda (now dalian \| 1 - 2 aet (g \| beijing guoan \| wang tao, olivas \| wenzhou stadium, wenzhou row 4 : 1998 \| 7 march 1999 \| dalian wanda (now dalian \| 0 - 3 \| shanghai shenhua \| wu chengying, marcel \| mianyang stadium, mianyang row 5 : 1999 \| 4 march 2000 \| shandong luneng \| 2 - 4 \| liaoning fushun \| li xiaopeng, casiano \| hongkou stadium, shangha row 6 : 2000 \| 30 december 2000 \| dalian shide \| 4 - 1 \| chongqing lifan \| hao haidong, wang pe \| hongkou stadium, shangha row 7 : 2001 \| 26 february 2002 \| dalian shide \| 1 - 3 (1 - 1 / \| shanghai shenhua \| srđan bajcetic \| hongkou stadium, shangha row 8 : 2001 \| 2 march 2002 \| dalian shide \| 1 - 3 (1 - 1 / \| shanghai shenhua \| orlando (2) \| jinzhou stadium, dalian row 9 : 2002 \| 6 february 2003 \| dalian shide \| 1 - 0 \| qingdao beilaite \| hao haidong \| wuhan sports center, wu row 10 : 2003 \| 18 january 2004 \| shanghai shenhua \| 3 - 4 \| beijing hyundai ( \| zhang yuning, z \| olympic park stadium, w row 11 : 2012 \| 25 february 2012 \| guangzhou evergrande \| 2 - 1 \| tianjin teda \| cleo (2) wang xinx \| guangzhou university city stadium, gu row 12 : 2013 \| 3 march 2013 \| guangzhou evergrande \| 1 - 2 \| jiangsu sainty \| salihi krivets \| tianhe stadium, guangzhou row 13 : 2014 \| 17 february 2014 \| guangzhou evergrande \| 0 - 1 \| guizhou renhe \| sun jihai \| guizhou olympic stadium, ] Execute this SQL based on the above table: select date where id = ( select id where date = '9 december 1995' ) + 1	9 march 1997
[ header: season \| east superleague \| east premier league \| east region south division \| east region central division \| east region north division row 1 : 2006-07 \| linlithgow rose \| glenrothes \| newtongrange star \| dundonald bluebell \| forfar west end row 2 : 2007-08 \| lochee united \| bo'ness united \| fauldhouse united \| ballingry rovers \| blairgowrie row 3 : 2008-09 \| bonnyrigg rose athletic \| musselburgh athletic \| armadale thistle \| st andrews united \| montrose roselea row 4 : 2009-10 \| bo'ness united \| tayport \| broxburn athletic \| thornton hibs \| broughty athletic row 5 : 2010-11 \| bo'ness united \| st. andrews united \| sauchie juniors \| oakley united \| downfield row 6 : 2011-12 \| bonnyrigg rose athletic \| sauchie juniors \| dalkeith thistle \| jeanfield swifts \| dundee violet row 7 : 2012-13 \| linlithgow rose \| newtongrange star \| fauldhouse united \| kinnoull \| kirriemuir thistle ] Execute this SQL based on the above table: select count ( east region south division )	7
[ 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 count ( tier ) where notes = 'None'	0
[ 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 where nation != 'colombia' and bronze = 6	venezuela
[ header: club \| played \| won \| drawn \| lost \| points for \| points against \| bonus points \| points row 1 : biarritz olympique \| 26 \| 19 \| None \| 7 \| 694 \| 350 \| 14 \| 90 row 2 : stade francais \| 26 \| 19 \| None \| 7 \| 633 \| 437 \| 13 \| 89 row 3 : stade toulousain \| 26 \| 19 \| None \| 7 \| 713 \| 427 \| 12 \| 88 row 4 : usa perpignan \| 26 \| 18 \| None \| 8 \| 671 \| 398 \| 12 \| 84 row 5 : su agen \| 26 \| 15 \| None \| 11 \| 655 \| 540 \| 10 \| 70 row 6 : cs bourgoin-jal \| 26 \| 14 \| None \| 12 \| 591 \| 516 \| 11 \| 67 row 7 : castres olympique \| 26 \| 13 \| None \| 13 \| 685 \| 559 \| 14 \| 66 row 8 : asm clermont \| 26 \| 14 \| None \| 12 \| 577 \| 569 \| 7 \| 63 row 9 : ca brive \| 26 \| 10 \| 1 \| 15 \| 431 \| 553 \| 9 \| 51 row 10 : rc narbonne \| 26 \| 11 \| None \| 15 \| 533 \| 775 \| 3 \| 47 row 11 : montpellier rc \| 26 \| 9 \| 0 \| 17 \| 574 \| 659 \| 10 \| 46 row 12 : aviron bayonnais \| 26 \| 8 \| 1 \| 17 \| 514 \| 669 \| 9 \| 43 row 13 : section paloise \| 26 \| 9 \| 0 \| 17 \| 476 \| 790 \| 4 \| 40 row 14 : rc toulonnais \| 26 \| 3 \| 0 \| 23 \| 332 \| 837 \| 7 \| 19 ] Execute this SQL based on the above table: select club order by points for desc limit 1	stade toulousain
[ header: ship name \| desig \| status \| notes \| links row 1 : west virginia \| bb-48 \| sunk, floated, rebuilt by \| moored outboard of tenness \| row 2 : phoenix \| cl-46 \| undamaged \| berth c-6 \| row 3 : honolulu \| cl-48 \| minor damage from a bomb near miss \| moored at berth b \| row 4 : macdonough \| dd-351 \| undamaged \| berth x-2, nested \| row 5 : worden \| dd-352 \| undamaged \| moored berth x-2 \| row 6 : cummings \| dd-365 \| minor damage from bomb fragments \| nested at berth b-15 \| row 7 : shaw \| dd-373 \| heavily damaged, lost bow, repaired by ju \| yfd-2) \| row 8 : mugford \| dd-389 \| undamaged \| moored port side to the s \| row 9 : montgomery \| dm-17 \| undamaged \| moored in berth d \| row 10 : ramapo \| ao-12 \| undamaged \| moored in berth b \| row 11 : medusa \| ar-1 \| undamaged \| moored berth x- \| row 12 : vestal \| ar-4 \| damaged, struck by 2 bombs and adjacent to \| moored port side to the port side \| row 13 : castor \| aks-1 \| undamaged \| berthed at merry point \| row 14 : antares \| aks-3 \| undamaged, docked at hon \| operating at harbor entrance \| row 15 : keosanqua \| at-38 \| None \| operating at harbor entrance with antares \| row 16 : condor \| amc-14 \| undamaged \| returned to harbor from sweeping 0525 \| row 17 : taney \| whec-37 \| undamaged. moored in ho \| on july 25, 1941, the coast guard \| ] Execute this SQL based on the above table: select count ( * ) where ship name > ( select ship name where notes = 'on july 25, 1941, the coast guard cutter was transferred to the navy and reported for duty with the local defense forces of the 14th naval district (destroyer division 80)' )	3
[ header: station \| distance from wellington \| height above sea level (m) \| opened \| closed \| notes row 1 : tawa \| 13.58 km \| 25.6m \| 1937 \| open \| tawa flat (closed 1937) was row 2 : kenepuru \| 16.16 km \| 15m \| 1940 \| open \| None row 3 : paremata \| 21.7 km \| 2.7m \| 1885 \| open \| None row 4 : plimmerton \| 24.4 km \| 5.8m \| 1885 \| open \| None row 5 : waikanae \| 55.31 km \| 31m \| 1886 \| open \| None row 6 : ohau \| 84.95 km \| 30.7m \| 1886 \| c.1970 \| None row 7 : linton \| 124.19 km \| 18.3m \| 1886 \| closed \| None row 8 : awapuni \| 132 km \| 24.7m \| 1876 \| 1965 \| None row 9 : palmerston north \| 136.03 km \| 28m \| 1963 \| open \| None row 10 : bunnythorpe \| 144.47 km \| 55.2m \| 1876 \| closed \| None row 11 : halcombe \| 165.76 km \| 118m \| 1878 \| closed \| None row 12 : greatford \| 175.67 km \| 104.5m \| 1878 \| c.1970 \| None row 13 : cliff road \| 183.58 km \| 159.7m \| 1888 \| 1966 \| None row 14 : ohingaiti \| 222.14 km \| 279m \| 1902 \| 1975 \| None row 15 : ohotu \| 247.08 km \| 395.6m \| 1904 \| closed \| None row 16 : ngaurukehu \| 270.25 km \| 640m \| 1908 \| closed \| None row 17 : turangarere \| 274.5 km \| 702m \| 1912 \| 1972 \| None row 18 : tangiwai \| 299.49 km \| 699.5m \| 1909 \| closed \| nearest station to the tangiwai row 19 : rangataua \| 312.79 km \| 670m \| 1909 \| closed \| None row 20 : raurimu \| 358.31 km \| 589m \| 1908 \| closed \| None row 21 : owhango \| 371.89 km \| 456.6m \| 1908 \| closed \| None row 22 : taumarunui \| 397.75 km \| 171m \| 1903 \| 2012 \| None row 23 : taringamotu \| 402 km \| 172.5m \| 1903 \| 1971 \| None row 24 : okahukura \| 408.54 \| 178.3m \| 1903 \| closed \| okahukura junction in working time row 25 : waiteti \| 470.07 km \| 135m \| 1889 \| closed \| None row 26 : te kumi \| 478.56 km \| 49.6m \| 1887 \| closed \| None row 27 : otorohonga \| 494.41 km \| 37m \| 1887 \| 2012 \| reopened summer 2012 row 28 : te awamutu \| 517.02 km \| 50m \| 1880 \| 2005 \| new zealand dairy board (now font row 29 : ngaroto \| 519.92 km \| 56m \| 1880 \| 1954 \| None row 30 : ohinewai \| 582.04 km \| 10m \| 1877 \| c1968 \| None row 31 : paerata \| 633.29 km \| 45.1m \| 1875 \| 1980 \| paerata junction from 1917 row 32 : takanini \| 650.64 km \| 15.2m \| 1875 \| open \| None row 33 : puhinui \| 658.92 km \| 19.8m \| 1904 \| open \| None row 34 : middlemore \| 662.28 km \| 8.8m \| 1904 \| open \| None ] Execute this SQL based on the above table: select distance from wellington where distance from wellington in ( '494.41 km' , '312.79 km' ) group by distance from wellington order by sum ( distance from wellington - distance from wellington ) desc limit 1	494.41 km
[ header: year \| tournaments played \| cuts made \| wins \| 2nd \| 3rd \| top 10s \| best finish \| earnings (€) \| money list rank \| scoring average \| scoring rank \| rolex ranking row 1 : 2004 \| 1 \| 0 \| 0 \| 0 \| 0 \| 0 \| cut \| None \| None \| 77.5 \| None \| None row 2 : 2006 \| 1 \| 1 \| 0 \| 0 \| 0 \| 0 \| t55 \| None \| None \| 73.67 \| None \| None row 3 : 2007 \| 1 \| 1 \| 0 \| 0 \| 0 \| 0 \| t11 \| None \| None \| 71 \| None \| 647 row 4 : 2008 \| 1 \| 1 \| 0 \| 0 \| 0 \| 1 \| t10 \| None \| None \| 70.33 \| None \| 703 row 5 : 2009 \| 17 \| 14 \| 0 \| 0 \| 0 \| 1 \| t5 \| 48893 \| 35 \| 72.45 \| 37 \| 274 row 6 : 2010 \| 20 \| 14 \| 0 \| 3 \| 1 \| 7 \| t2 \| 121959 \| 12 \| 72.33 \| 35 \| 118 row 7 : 2011 \| 15 \| 13 \| 1 \| 2 \| 1 \| 6 \| 1 \| 161172 \| 8 \| 70.92 \| 13 \| 63 row 8 : 2012 \| 6 \| 3 \| 2 \| 0 \| 0 \| 2 \| 1 \| 104884 \| 13 \| 72 \| None \| 65 ] Execute this SQL based on the above table: select best finish where id = ( select id where best finish = 1 ) + 1	1
[ header: date \| time \| opponent \| site \| tv \| result \| attendance row 1 : september 5 \| 2:30 p.m \| jackson state \| davis wade stadium • starkville, \| espnu \| w 45-7 \| 54232 row 2 : september 12 \| 6:00 p.m \| at auburn \| jordan-hare stadium • auburn \| secrn \| l 24-49 \| 85269 row 3 : september 19 \| 6:00 p.m \| at vanderbilt \| vanderbilt stadium • nashville \| secrn \| w 15-3 \| 31840 row 4 : september 26 \| 11:21 a.m \| #7 lsu \| davis wade stadium • starkville, \| secn \| l 26-30 \| 53612 row 5 : october 3 \| 6:30 p.m \| #25 georgia tech \| davis wade stadium • starkville, \| css \| l 31-42 \| 50035 row 6 : october 10 \| 11:30 a.m \| houston \| davis wade stadium • starkville, \| espnu \| l 24-31 \| 48019 row 7 : october 17 \| 11:30 a.m \| at middle tennessee \| johnny "red" floyd \| espnu \| w 27-6 \| 23882 row 8 : october 24 \| 6:30 p.m \| #1 florida \| davis wade stadium • starkville, \| espn \| l 19-29 \| 57178 row 9 : october 31 \| 6:00 p.m \| at kentucky \| commonwealth stadium • lexington, \| secrn \| w 31-24 \| 67953 row 10 : november 14 \| 6:00 p.m \| #2 alabama \| davis wade stadium • starkville, \| espn \| l 3-31 \| 58103 row 11 : november 21 \| 11:21 a.m \| at arkansas \| war memorial stadium • little rock, ar \| secn \| l 21-42 \| 55634 row 12 : november 28 \| 11:21 a.m \| #25 ole miss \| davis wade stadium • starkville, \| secn \| w 41-27 \| 55365 ] Execute this SQL based on the above table: select count ( * ) where opponent = 'at middle tennessee' and attendance < 57178	1
[ header: model \| release date \| sensor res., size \| lens (35 mm equiv.) zoom, aperture \| screen size, pixels \| dimensions w (mm) × h (mm) × d (mm) \| weight \| features row 1 : s01 \| aug 22, 2012 \| 10.1 mp 3648x2736 1/2 \| 29-87 mm (3×) f \| 2.5 in 230 kpixel \| 77 × 51.2 × 17.2 \| 96 g (w/batt. \| ccd sensor, 2.5 in touch screen row 2 : s30 \| feb 1, 2012 \| 10.1 mp 3648x2736 1/3 \| 29.1-87.3 mm (3×) \| 2.7 in 230 kpixel \| 101.9 × 64.8 × 39. \| 214 g (w/batt. \| compact drop-resistant and waterproof with large buttons and row 3 : s800c \| aug 22, 2012 \| 16.0 mp 4608x3456 1/2 \| 25-250 mm (10×) f \| 3.5 in 819 kpixel \| 111.4 × 60.0 × 27.2 \| 184 g (w/batt. \| android 2.3 os, 3.5 in row 4 : s1200pj \| aug 24, 2011 \| 14.1 mp 4320x3240 1/2 \| 28-140 mm (5×) f \| 3 in 460 kpixel \| 107 × 63.4 × 22.6 \| 186 g (w/batt. \| ccd sensor, built-in project row 5 : s2600 \| None \| 14.0 mp 4320x3240 1/2 \| 26-130 mm (5×) f \| 2.7 in 230 kpixel \| 93.8 × 58.4 × \| 121 g (w/batt. \| None row 6 : s3300 \| feb 1, 2012 \| 16.0 mp 4608x3456 1/2 \| 26-156 mm (6×) f \| 2.7 in 230 kpixel \| 94.8 × 57.8 × \| 128 g (w/batt. \| None row 7 : s4300 \| feb 1, 2012 \| 16.0 mp 4608x3456 1/2 \| 26-156 mm (6×) f \| 3 in 460 kpixel \| 95.5 × 58.9 × \| 139 g (w/batt. \| None row 8 : s6400 \| aug 22, 2012 \| 16.0 mp 4608x3456 1/2 \| 25-300 mm (12×) f \| 3.0 in 460 kpixel \| 95.4 × 58.6 × \| 150 g (w/batt.) \| cmos sensor, lens-based vibration reduction row 9 : s9300 \| feb 1, 2012 \| 16.0 mp 4608x3456 1/2 \| 25-450 mm (18×) f \| 3 in 921 kpixel \| 108.7 × 62.3 × \| 215 g (w/batt. \| s9200 with built in gp ] Execute this SQL based on the above table: select dimensions w (mm) × h (mm) × d (mm) where dimensions w (mm) × h (mm) × d (mm) = '101.9 × 64.8 × 39.4'	101.9 × 64.8 × 39.4
[ header: year \| laetare medalist \| position row 1 : 1884 \| patrick charles keely \| architect row 2 : 1889 \| anna hanson dorsey \| novelist row 3 : 1890 \| william j. onahan \| organizer of the american catholic congress row 4 : 1892 \| henry f. brownson \| philosopher and author row 5 : 1899 \| mary gwendolin caldwell \| philanthropist row 6 : 1906 \| francis j. quinlan \| physician row 7 : 1908 \| james c. monaghan \| economist row 8 : 1911 \| agnes repplier \| author row 9 : 1913 \| charles george herbermann \| editor of the catholic encyclopedia row 10 : 1916 \| james joseph wals \| physician and author row 11 : 1917 \| admiral william shepherd benson \| chief of naval operations row 12 : 1922 \| charles patrick neill \| economist row 13 : 1923 \| walter george smith \| lawyer row 14 : 1924 \| charles donagh maginnis \| architect row 15 : 1925 \| albert francis zahm \| scientist row 16 : 1927 \| margaret anglin \| actress row 17 : 1932 \| stephen j. maher \| physician row 18 : 1936 \| richard reid \| journalist and lawyer row 19 : 1941 \| william thomas wals \| journalist and author row 20 : 1942 \| helen constance white \| author and teacher row 21 : 1944 \| anne o'hare mc \| journalist row 22 : 1945 \| gardiner howland shaw \| diplomat row 23 : 1947 \| william g. bruce \| publisher and civic leader row 24 : 1950 \| general joseph l. collin \| soldier row 25 : 1952 \| thomas e. murray \| member of the u.s. atomic row 26 : 1953 \| i.a. o'sh \| philanthropist row 27 : 1956 \| general alfred m. gruent \| soldier row 28 : 1958 \| frank m. folsom \| industrialist row 29 : 1964 \| phyllis mcginley \| poet row 30 : 1966 \| patrick f. & patricia car \| founders of the christian movement row 31 : 1967 \| j. peter grace \| industrialist row 32 : 1968 \| robert sargent shriver \| diplomat row 33 : 1977 \| mike mansfield \| former senate majority leader row 34 : 1979 \| helen hayes \| actress row 35 : 1980 \| thomas p. (tip) \| speaker of the house row 36 : 1982 \| john francis cardinal dearden \| archbishop emeritus of row 37 : 1984 \| john t. noonan, j \| lawyer row 38 : 1990 \| sister thea bowman (posthumously) \| educator row 39 : 1996 \| sister helen prejean \| death penalty abolitionist row 40 : 1998 \| dr. edmund \| medical ethicist and educator row 41 : 1999 \| philip gleason \| professor emeritus of history, notre row 42 : 2008 \| martin sheen \| actor row 43 : 2009 \| not awarded (see below) \| None row 44 : 2010 \| dana gioia \| former chairman of national endowment for the arts row 45 : 2011 \| sister mary scullion, r \| social advocates ] Execute this SQL based on the above table: select position where position in ( 'soldier' , 'founders of the christian movement' ) group by position order by count ( * ) desc limit 1	soldier
[ header: record \| athlete \| nation \| venue \| date \| # row 1 : 4.08 m (13 ft 41 \| sun caiyun \| china \| taiyuan, china \| 18 may 1995 \| 2 row 2 : 4.08 m (13 ft 41 \| zhong guiqing \| china \| taiyuan, china \| 18 may 1995 \| 1 row 3 : 4.13 m (13 ft \| daniela bartova \| czech republic \| wesel, germany \| 24 june 1995 \| 3 row 4 : 4.16 m (13 ft \| daniela bartova \| czech republic \| feldkirch, austria \| 14 july 1995 \| 6 row 5 : 4.18 m (13 ft \| andrea muller \| germany \| zittau, germany \| 5 august 1995 \| 1 row 6 : 4.20 m (13 ft \| daniela bartova \| czech republic \| koln, germany \| 18 august 1995 \| 8 row 7 : 4.22 m (13 ft 10 \| daniela bartova \| czech republic \| salgotarjan, hungary \| 11 september 1995 \| 10 row 8 : 4.41 m (14 ft 51 \| emma george \| australia \| perth, australia \| 28 january 1996 \| 3 row 9 : 4.42 m (14 ft 6 \| emma george \| australia \| reims, france \| 29 june 1996 \| 4 row 10 : 4.45 m (14 ft 7 \| emma george \| australia \| sapporo, japan \| 14 july 1996 \| 5 row 11 : 4.55 m (14 ft 11 \| emma george \| australia \| melbourne, australia \| 20 february 1997 \| 7 row 12 : 4.58 m (15 ft 01⁄ \| emma george \| australia \| melbourne, australia \| 14 march 1998 \| 9 row 13 : 4.59 m (15 ft 01⁄ \| emma george \| australia \| brisbane, australia \| 21 march 1998 \| 10 row 14 : 4.60 m (15 ft 1 in \| emma george \| australia \| sydney, australia \| 20 february 1999 \| 11 row 15 : i 4.63 m (15 ft \| stacy dragila \| united states \| new york city, u.s \| 2 feb 2001 \| 5 row 16 : i 4.64 m (15 ft \| svetlana feof \| russia \| dortmund, germany \| 11 february 2001 \| 1 row 17 : i 4.66 m (15 ft \| stacy dragila \| united states \| pocatello, u.s \| 17 feb 2001 \| 6 row 18 : i 4.70 m (15 ft \| stacy dragila \| united states \| pocatello, u.s \| 17 feb 2001 \| 7 row 19 : 4.81 m (15 ft 91 \| stacy dragila \| united states \| palo alto, u.s \| 9 june 2001 \| 10 row 20 : 4.82 m (15 ft 93 \| yelena isinbayeva \| russia \| gateshead, england \| 13 july 2003 \| 1 row 21 : 4.89 m (16 ft 01⁄ \| yelena isinbayeva \| russia \| birmingham, england \| 25 july 2004 \| 5 ] Execute this SQL based on the above table: select count ( venue ) where # >= 1743	0
[ header: place \| player \| country \| score \| to par row 1 : t1 \| ed sneed \| united states \| 68-67=135 \| -9 row 2 : t1 \| craig stadler \| united states \| 69-66=135 \| -9 row 3 : t3 \| raymond floyd \| united states \| 70-68=138 \| -6 row 4 : t3 \| leonard thompson \| united states \| 68-70=138 \| -6 row 5 : t5 \| miller barber \| united states \| 75-64=139 \| -5 row 6 : t5 \| tom watson \| united states \| 68-71=139 \| -5 row 7 : t5 \| joe inman \| united states \| 68-71=139 \| -5 row 8 : t8 \| seve ballesteros \| spain \| 72-68=140 \| -4 row 9 : t8 \| jack nicklaus \| united states \| 69-71=140 \| -4 row 10 : t8 \| lou graham \| united states \| 69-71=140 \| -4 ] Execute this SQL based on the above table: select country where country in ( 'united states' , 'united states' ) and to par = -4	united states, united states
[ header: name \| lifetime \| nationality \| notable as \| notes row 1 : paul iacono \| b. 1988 \| american \| actor \| g row 2 : janis ian \| b. 1951 \| american \| folk musician \| l row 3 : witi ihimaera \| b. 1944 \| new zealand \| author \| g row 4 : william inge \| 1913-1973 \| american \| playwright, novelist \| g row 5 : per imerslund \| 1912-1943 \| norwegian \| nazi socialist soldier, writer \| g row 6 : john inman \| 1935-2007 \| english \| actor \| g row 7 : daniela irasch \| b. 1983 \| austrian \| ski jumper \| l row 8 : doug ireland \| b. 1946 \| american \| journalist, blogger \| g row 9 : jim ireton \| b. ? \| american \| politician \| g row 10 : evelyn irons \| 1900-2000 \| scottish \| journalist \| l row 11 : hakan isacson \| 1958-2002 \| swedish \| intelligence agent \| g row 12 : richard isay \| b. 1934 \| american \| author, psychiatrist \| g row 13 : sharon isbin \| b. 1956 \| american \| classical musician \| l row 14 : taiga ishikawa \| b. 1974 \| japanese \| politician, activist \| g row 15 : sam irvin \| b. 1956 \| american \| director \| g row 16 : elisabeth ir \| 1880-1942 \| american \| educator, psychologist, reformer \| l row 17 : christopher isherwood \| 1904-1986 \| english \| author \| g row 18 : arturo islas \| 1938-1991 \| american \| academic \| g row 19 : maja ivarsson \| b. 1979 \| swedish \| rock musician (the sounds) \| b row 20 : george cecil ives \| 1867-1950 \| british \| poet, writer, penal reformer, gay rights \| g row 21 : james ivory \| b. 1928 \| american \| filmmaker \| g row 22 : boris izaguirre \| b. 1965 \| venezuelan \| writer \| g ] Execute this SQL based on the above table: select max ( lifetime )	b. ?
[ header: kilometers \| name \| location \| intersecting routes row 1 : 0 \| mahanayim junction \| mahanayim, near hatz \| highway 90 (israel) row 2 : 7 \| gadot junction \| gadot \| route 918 row 3 : 12 \| customs house junction \| customs office \| route 888 row 4 : 15 \| nashot junction \| northwest of katzrin \| route 9088 row 5 : 21 \| None \| golan heights \| petroleum road row 6 : 22 \| hashiryon junction \| golan heights \| route 978 row 7 : 23 \| shipon junction \| shipon (spelt) mountain \| route 9099 row 8 : 27 \| avital junction \| mount avital \| route 9881 row 9 : 28 \| zivan junction \| ein zivan \| highway 98 (israel) ] Execute this SQL based on the above table: select location where intersecting routes = 'route 9088' order by id limit 1699	northwest of katzrin
[ header: province \| capital \| area (km2) \| population \| density row 1 : azua \| azua \| 2531.77 \| 298246 \| 118 row 2 : bahoruco \| neiba \| 1282.23 \| 111269 \| 87 row 3 : barahona \| barahona \| 1739.38 \| 232818 \| 134 row 4 : dajabon \| dajabon \| 1020.73 \| 87274 \| 86 row 5 : distrito nacional \| santo domingo \| 104.44 \| 1402749 \| 13431 row 6 : duarte \| san francisco de macoris \| 1605.35 \| 338649 \| 211 row 7 : el seibo \| el seibo \| 1786.8 \| 110212 \| 62 row 8 : elias pina \| comendador \| 1426.2 \| 84632 \| 59 row 9 : espaillat \| moca \| 838.62 \| 333401 \| 398 row 10 : hato mayor \| hato mayor \| 1329.29 \| 103032 \| 78 row 11 : hermanas mirabal \| salcedo \| 440.43 \| 121887 \| 277 row 12 : independencia \| jimani \| 2006.44 \| 74583 \| 37 row 13 : la altagracia \| higuey \| 3010.34 \| 372289 \| 124 row 14 : la romana \| la romana \| 653.95 \| 344580 \| 527 row 15 : la vega \| concepcion de la vega \| 2287.24 \| 447905 \| 196 row 16 : maria trinidad sanchez \| nagua \| 1271.71 \| 195886 \| 154 row 17 : monsenor nouel \| bonao \| 992.39 \| 203183 \| 205 row 18 : monte cristi \| monte cristi \| 1924.35 \| 150833 \| 78 row 19 : monte plata \| monte plata \| 2632.14 \| 222641 \| 85 row 20 : pedernales \| pedernales \| 2074.53 \| 52165 \| 25 row 21 : peravia \| bani \| 792.33 \| 217241 \| 274 row 22 : puerto plata \| puerto plata \| 1852.9 \| 498232 \| 269 row 23 : samana \| samana \| 853.74 \| 139707 \| 164 row 24 : san cristobal \| san cristobal \| 1265.77 \| 640066 \| 506 row 25 : san jose de ocoa \| san jose de ocoa \| 855.4 \| 97640 \| 114 row 26 : san juan \| san juan de la magu \| 3569.39 \| 317293 \| 89 row 27 : san pedro de macori \| san pedro de macori \| 1255.46 \| 392911 \| 313 row 28 : sanchez ramirez \| cotui \| 1196.13 \| 248807 \| 208 row 29 : santiago \| santiago de los caballe \| 2836.51 \| 1543362 \| 544 row 30 : santiago rodriguez \| sabaneta \| 1111.14 \| 99044 \| 89 row 31 : santo domingo \| santo domingo este \| 1296.35 \| 3263053 \| 2517 row 32 : valverde \| mao \| 823.38 \| 217026 \| 264 row 33 : total \| None \| 48666.83 \| 12935223 \| 266 ] Execute this SQL based on the above table: select abs ( ( select density where density = 264 ) - ( select density where density = 59 ) )	205
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 1979 \| grandma's marathon \| duluth, united states \| 1st \| marathon \| 2:37:37 row 2 : 1980 \| grandma's marathon \| duluth, united states \| 1st \| marathon \| 2:38:35 row 3 : 1981 \| grandma's marathon \| duluth, united states \| 1st \| marathon \| 2:29:35 row 4 : 1984 \| boston marathon \| boston, united states \| 1st \| marathon \| 2:29:28 row 5 : 1984 \| olympic games \| los angeles, united states \| 5th \| marathon \| 2:28:54 row 6 : 1986 \| osaka ladies marathon \| osaka, japan \| 1st \| marathon \| 2:30:24 row 7 : 1986 \| commonwealth games \| edinburgh, scotl \| 2nd \| marathon \| 2:28:17 row 8 : 1987 \| osaka ladies marathon \| osaka, japan \| 1st \| marathon \| 2:30:40 row 9 : 1987 \| world championships \| rome, italy \| 21st \| 10,000 m \| 34:07.26 row 10 : 1988 \| olympic games \| seoul, south korea \| 33rd \| marathon \| 2:37:52 row 11 : 1989 \| osaka ladies marathon \| osaka, japan \| 1st \| marathon \| 2:30:21 row 12 : 1989 \| hokkaido marathon \| sapporo, japan \| 1st \| marathon \| 2:36:39 row 13 : 1991 \| hokkaido marathon \| sapporo, japan \| 1st \| marathon \| 2:33:20 row 14 : 1992 \| olympic games \| barcelona, spain \| 3rd \| marathon \| 2:33:59 row 15 : 1996 \| olympic games \| atlanta, united states \| 46th \| marathon \| 2:42:21 ] Execute this SQL based on the above table: select count ( notes )	15
[ header: year \| miss northern ireland \| hometown \| placement at miss world \| notes row 1 : 2012 \| tiffany brien \| belfast \| top 30 \| top 10 of beach fashion and 1st row 2 : 2011 \| finola guinnane \| drumbo \| non-finalist \| top 20 of beach beauty and top 77 of row 3 : 2010 \| lori moore \| belfast \| top 25 \| winner of sports at miss world 2010 row 4 : 2009 \| cherie gardiner \| bangor \| non-finalist \| None row 5 : 2008 \| judith wilson \| enniskillen \| non-finalist \| top 19 of talent at miss world 2008 row 6 : 2007 \| melissa patton \| belfast \| non-finalist \| None row 7 : 2006 \| catherine jean milligan \| newtownards \| top 17 \| winner of miss talent at miss world 2006 row 8 : 2005 \| lucy evangelista \| portglenone \| top 15 \| later miss united kingdom 2005 and miss universe united kingdom row 9 : 2004 \| kirsty anne gabriel stew \| enniskillen \| non-finalist \| None row 10 : 2003 \| diana sayers \| belfast \| non-finalist \| None row 11 : 2002 \| gayle williamson \| lurgan \| non-finalist \| later miss united kingdom 2002 row 12 : 2001 \| angela mccarthy \| belfast \| non-finalist \| None row 13 : 2000 \| julie lee-ann mart \| belfast \| non-finalist \| None ] Execute this SQL based on the above table: select notes where hometown = 'belfast'	top 10 of beach fashion and 1st runner-up of sports & fitness at miss world 2012, winner of sports at miss world 2010
[ header: seasons \| team \| ch.wins \| promotions \| relegations row 1 : 10 \| aurora basket jesi \| 0 \| 1 \| 1 row 2 : 10 \| andrea costa imola \| 0 \| 0 \| 3 row 3 : 9 \| nuova pallacanestro pavia \| 0 \| 0 \| 0 row 4 : 9 \| scafati basket \| 1 \| 1 \| 0 row 5 : 8 \| basket club ferrara \| 1 \| 1 \| 0 row 6 : 8 \| pallac. reggiana reggio e \| 2 \| 2 \| 0 row 7 : 7 \| novara \| 0 \| 0 \| 3 row 8 : 6 \| a.s. junior pallacane \| 1 \| 1 \| 1 row 9 : 5 \| rb montecatini terme \| 0 \| 0 \| 1 row 10 : 5 \| fabriano basket \| 0 \| 0 \| 1 row 11 : 5 \| societa veroli basket \| 0 \| 0 \| 0 row 12 : 5 \| pistoia basket 2000 \| 0 \| 0 \| 0 row 13 : 4 \| juve caserta basket \| 0 \| 1 \| 0 row 14 : 3 \| nuova sebastiani rieti \| 1 \| 1 \| 0 row 15 : 3 \| progresso castelmaggiore \| 0 \| 0 \| 0 row 16 : 3 \| orlandina basket \| 1 \| 1 \| 1 row 17 : 3 \| sutor basket montegranaro \| 0 \| 1 \| 1 row 18 : 3 \| virtus ragusa \| 0 \| 0 \| 1 row 19 : 3 \| robur basket osimo \| 0 \| 0 \| 1 row 20 : 3 \| reyer venezia \| 0 \| 1 \| 0 row 21 : 3 \| new basket brindisi \| 1 \| 2 \| 0 row 22 : 2 \| pallacanestro messina \| 0 \| 1 \| 0 row 23 : 2 \| basket trapani \| 0 \| 0 \| 1 row 24 : 2 \| basket draghi castelletto tic \| 0 \| 0 \| 0 row 25 : 2 \| pallalcesto amatori udin \| 0 \| 0 \| 0 row 26 : 2 \| unione cestistica casalpuster \| 0 \| 0 \| 0 row 27 : 2 \| basket barcellona \| 0 \| 0 \| 0 row 28 : 2 \| fulgor libertas forl \| 0 \| 0 \| 1 row 29 : 2 \| scaligera basket verona \| 0 \| 0 \| 1 row 30 : 1 \| societa sportiva basket n \| 1 \| 1 \| 0 row 31 : 1 \| centro sportivo borgomanero \| 0 \| 0 \| 0 row 32 : 1 \| teramo basket \| 1 \| 1 \| 0 row 33 : 1 \| virtus pallacanestro bo \| 0 \| 1 \| 0 row 34 : 1 \| victoria libertas pes \| 0 \| 1 \| 0 row 35 : 1 \| nuova pallacanestro vige \| 0 \| 0 \| 0 row 36 : 1 \| cestistica san sever \| 0 \| 0 \| 1 row 37 : 1 \| basket brescia leonessa \| 0 \| 0 \| 0 row 38 : 1 \| unione cestistica piacentin \| 0 \| 0 \| 0 row 39 : 1 \| ostuni basket \| 0 \| 0 \| 0 row 40 : 1 \| biancoblu basket bologna \| 0 \| 0 \| 0 ] Execute this SQL based on the above table: select team where id = ( select id where team = 'basket brescia leonessa' ) - 1	cestistica san severo
[ 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 position order by id desc limit 1	fw
[ header: date \| competition \| home team \| score \| away team \| score row 1 : 16 october 2004 \| powergen cup \| bedford \| None \| tabard \| None row 2 : 15 february 2005 \| national division one \| bedford \| 26 \| otley \| 13 row 3 : 19 february 2005 \| national division one \| bedford \| 16 \| london welsh \| 17 row 4 : 26 february 2005 \| national division one \| sedgley park \| 12 \| bedford \| 23 row 5 : 12 march 2005 \| national division one \| bedford \| 23 \| cornish pirates \| 28 row 6 : 2 april 2005 \| national division one \| bedford \| 39 \| plymouth albion \| 21 row 7 : 9 april 2005 \| national division one \| birmingham solihull \| 18 \| bedford \| 29 ] Execute this SQL based on the above table: select count ( home team ) where competition != 'powergen cup'	6
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| japan \| 5 \| 2 \| 0 \| 7 row 2 : 2 \| china \| 4 \| 3 \| 2 \| 9 row 3 : 3 \| south korea \| 0 \| 3 \| 1 \| 4 row 4 : 4 \| north korea \| 0 \| 1 \| 0 \| 1 row 5 : 5 \| chinese taipei \| 0 \| 0 \| 3 \| 3 row 6 : 5 \| thailand \| 0 \| 0 \| 3 \| 3 row 7 : total \| total \| 9 \| 9 \| 9 \| 27 ] Execute this SQL based on the above table: select nation where id = ( select id where nation = 'north korea' ) + 1	chinese taipei
[ header: year \| title \| peak chart positions swe \| peak chart positions swi \| peak chart positions uk \| album row 1 : 2003 \| "znaj da znam" \| None \| None \| None \| naj, najbolja row 2 : 2003 \| "naj, najbolja" \| None \| None \| None \| naj, najbolja row 3 : 2003 \| "gorka cokolada" \| None \| None \| None \| bez ljubavi row 4 : 2004 \| "bol do ludila" \| None \| None \| None \| bez ljubavi row 5 : 2005 \| "ponuda" \| None \| None \| None \| ponuda cds row 6 : 2005 \| "agonija" \| None \| None \| None \| agonija cds row 7 : 2005 \| "u nedelju" \| None \| None \| None \| bez ljubavi row 8 : 2006 \| "bez ljubavi" \| None \| None \| None \| bez ljubavi row 9 : 2006 \| "101" \| None \| None \| None \| bez ljubavi row 10 : 2007 \| "molitva" \| 9 \| 19 \| 112 \| molitva cds, row 11 : 2008 \| "nisam anđeo" \| None \| None \| None \| nisam anđeo row 12 : 2009 \| "sta da zaboravim" \| None \| None \| None \| anđeo row 13 : 2010 \| "jedan vidi sve" \| None \| None \| None \| anđeo ] Execute this SQL based on the above table: select album where peak chart positions swi < 'None' order by peak chart positions swi desc limit 1	molitva cds, molitva - the best of
[ header: stamp issue date \| stamp set \| #cards \| card set ref \| qty. issued row 1 : 16 may 1973 \| county cricket, 1873-1973 \| one \| phq 1 \| 20000 row 2 : 15 august 1973 \| 400th anniversary, birth of inigo \| one \| phq 2 \| 20000 row 3 : 12 september 1973 \| 19th commonwealth parliamentary conference \| one \| phq 3 \| 15200 row 4 : 14 november 1973 \| royal wedding (the princess anne) \| one \| phq 4 \| 290000 row 5 : 27 february 1974 \| british trees \| one \| phq 5 \| 16750 row 6 : 24 april 1974 \| fire service anniversary \| one \| phq 6 \| 30000 row 7 : 10 july 1974 \| medieval warriors \| four \| phq 7 \| 31750 row 8 : 9 october 1974 \| winston churchill centenary \| one \| phq 8 \| 114430 row 9 : 19 february 1975 \| bicentenary, birth j. \| one \| phq 9 \| 46250 row 10 : 23 april 1975 \| european architectural year \| three \| phq 10 \| 51000 row 11 : 11 june 1975 \| sailing \| one \| phq 11 \| 41350 row 12 : 13 august 1975 \| 150th anniversary of public railways \| four \| phq 12 \| 47500 row 13 : 22 october 1975 \| jane austen bicentenary \| four \| phq 13 \| 27330 row 14 : 28 april 1976 \| social reformers \| one \| phq 14 \| 38350 row 15 : 2 june 1976 \| american bicentenary \| one \| phq 15 \| 60950 row 16 : 30 june 1976 \| roses \| four \| phq 16 \| 34250 ] Execute this SQL based on the above table: select #cards group by #cards order by count ( * ) desc limit 1	one
[ header: year \| name \| source \| definition row 1 : c. 486 bc \| hidush \| naksh-i-rustam \| "says darius the king: by row 2 : c.400-300 bc \| hodu \| book of esther \| says "now it took place in the days of row 3 : c. 440 bc \| india \| herodotus \| "eastward of india lies a tract which row 4 : 320 ce or later \| bharatam \| vishnu purana \| "उततर यतसमदरसय हिमादरशचव दकषिणम । row 5 : c. 650 \| five indies \| xuanzang \| "the circumference of 五印 (modern row 6 : 1298 \| india the greater india the minor middle india \| marco polo \| "india the greater is that which extends row 7 : c. 1328 \| india \| friar jordanus \| "what shall i say? the great- ] Execute this SQL based on the above table: select count ( * ) where year not null	7
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 30 may 1928 \| olympic stadium (amsterdam \| mexico \| 1-0 \| 7-1 \| 1928 summer olympics row 2 : 2 \| 30 may 1928 \| olympic stadium (amsterdam \| mexico \| 3-0 \| 7-1 \| 1928 summer olympics row 3 : 3 \| 22 june 1930 \| bologna, italy \| italy \| 1-0 \| 3-2 \| friendly row 4 : 4 \| 22 june 1930 \| bologna, italy \| italy \| 3-1 \| 3-2 \| friendly row 5 : 5 \| 13 december 1931 \| dublin, ireland \| ireland \| 3-0 \| 5-0 \| friendly row 6 : 6 \| 13 december 1931 \| dublin, ireland \| ireland \| 5-0 \| 5-0 \| friendly row 7 : 7 \| 24 april 1932 \| oviedo, spain \| yugoslavia \| 1-0 \| 2-1 \| friendly row 8 : 8 \| 21 june 1933 \| madrid, spain \| bulgaria \| 8-0 \| 13-0 \| friendly row 9 : 9 \| 21 june 1933 \| madrid, spain \| bulgaria \| 12-0 \| 13-0 \| friendly row 10 : 10 \| 11 march 1934 \| madrid, spain \| portugal \| 4-0 \| 9-0 \| 1934 world cup qualifier row 11 : 11 \| 11 march 1934 \| madrid, spain \| portugal \| 6-0 \| 9-0 \| 1934 world cup qualifier row 12 : 12 \| 21 june 1934 \| firenze, italy \| italy \| 1-0 \| 1-1 \| 1934 fifa world cup row 13 : 13 \| 24 january 1935 \| madrid, spain \| bulgaria \| 1-0 \| 2-0 \| friendly row 14 : 14 \| 19 january 1936 \| madrid, spain \| austria \| 2-4 \| 4-5 \| friendly row 15 : 15 \| 19 january 1936 \| madrid, spain \| austria \| 4-4 \| 4-5 \| friendly row 16 : 16 \| 23 february 1936 \| barcelona, spain \| germany \| 1-2 \| 1-2 \| friendly ] Execute this SQL based on the above table: select ( select # order by # desc limit 1 ) - ( select # order by # asc limit 1 )	15.0
[ header: country \| 2000 \| 2001 \| 2002 \| 2003 \| 2004 \| 2005 \| 2006 \| 2007 \| 2008 \| 2009 \| 2010 \| 2011 row 1 : australia \| 160 \| 230 \| 290 \| 230 \| 200 \| 200 \| 200 \| None \| None \| None \| None \| None row 2 : brazil \| 30000 \| 22000 \| 26000 \| 29000 \| 29900 \| 35000 \| 40000 \| 57300 \| 58000 \| 58000 \| 58000 \| 58000 row 3 : canada \| 2290 \| 3200 \| 3410 \| 3280 \| 3400 \| 3310 \| 4167 \| 3020 \| 4380 \| 4330 \| 4420 \| 4400 row 4 : congo d.r \| None \| 50 \| 50 \| 13 \| 52 \| 25 \| None \| None \| None \| None \| None \| None row 5 : mozambique \| None \| None \| 5 \| 34 \| 130 \| 34 \| 29 \| None \| None \| None \| None \| None row 6 : nigeria \| 35 \| 30 \| 30 \| 190 \| 170 \| 40 \| 35 \| None \| None \| None \| None \| None row 7 : rwanda \| 28 \| 120 \| 76 \| 22 \| 63 \| 63 \| 80 \| None \| None \| None \| None \| None row 8 : world \| 32600 \| 25600 \| 29900 \| 32800 \| 34000 \| 38700 \| 44500 \| 60400 \| 62900 \| 62900 \| 62900 \| 63000 ] Execute this SQL based on the above table: select count ( country ) where 2008 < 257	0
[ header: year \| round \| against \| score \| scorers row 1 : 1930 \| group b \| yugoslavia \| 1-2 \| preguinho row 2 : 1930 \| group b \| bolivia \| 4-0 \| moderato (2), preguinho (2) row 3 : 1934 \| round 1 \| spain \| 1-3 \| leonidas row 4 : 1938 \| round 1 \| poland \| 6-5 (aet) \| leonidas (3), romeu, row 5 : 1938 \| semi-final \| italy \| 1-2 \| romeu row 6 : 1950 \| group a \| switzerland \| 2-2 \| alfredo, baltazar row 7 : 1950 \| final round \| spain \| 6-1 \| ademir (2), jair, row 8 : 1950 \| final round \| uruguay \| 1-2 \| friaca row 9 : 1954 \| group a \| mexico \| 5-0 \| baltazar, didi, ping row 10 : 1954 \| quarter-final \| hungary \| 2-4 \| djalma santo row 11 : 1962 \| quarter-final \| england \| 3-1 \| garrincha (2), vava row 12 : 1962 \| semi-final \| chile \| 4-2 \| garrincha (2), vava (2) row 13 : 1970 \| group c \| czechoslovakia \| 4-1 \| rivelino, pele, row 14 : 1970 \| group c \| romania \| 3-2 \| pele (2), jairzinho row 15 : 1970 \| semi-final \| uruguay \| 3-1 \| clodoaldo, j row 16 : 1974 \| group b \| yugoslavia \| 0-0 \| None row 17 : 1974 \| group b \| scotland \| 0-0 \| None row 18 : 1974 \| group a round 2 \| east germany \| 1-0 \| rivelino row 19 : 1978 \| group c \| austria \| 1-0 \| roberto dinamite row 20 : 1978 \| bronze final \| italy \| 2-1 \| nelinho, dirceu row 21 : 1982 \| group f \| soviet union \| 2-1 \| socrates, eder row 22 : 1982 \| group f \| new zealand \| 4-0 \| zico (2), falcao, serg row 23 : 1982 \| group c round 2 \| argentina \| 3-1 \| zico, serginho, junior row 24 : 1986 \| group d \| spain \| 1-0 \| socrates row 25 : 1986 \| group d \| northern ireland \| 3-0 \| careca (2), josimar row 26 : 1986 \| round of 16 \| poland \| 4-0 \| socrates, josimar, e row 27 : 1986 \| quarter-final \| france \| 1-1 (aet) \| careca row 28 : 1990 \| group c \| costa rica \| 1-0 \| muller row 29 : 1994 \| final \| italy \| 0-0 (aet) \| None row 30 : 1998 \| semi-final \| netherlands \| 1-1 (aet) \| ronaldo row 31 : 2002 \| group c \| turkey \| 2-1 \| ronaldo, rivaldo row 32 : 2002 \| round of 16 \| belgium \| 2-0 \| rivaldo, ronaldo row 33 : 2002 \| quarter-final \| england \| 2-1 \| rivaldo, ronaldinho row 34 : 2010 \| round of 16 \| chile \| 3-0 \| juan, luis fabian row 35 : 2010 \| quarter-final \| netherlands \| 1-2 \| robinho ] Execute this SQL based on the above table: select count ( score ) where round = 'quarter-final'	5
[ 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 ( select name of kingdom where capital = 'sidhmukh' ) > ( select name of kingdom where capital = 'luddi' )	0
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 22 june 2008 \| addis abeba \| mauritania \| 6-1 \| win \| 2010 wc qualification row 2 : 2 \| 30 november 2009 \| nairobi \| djibouti \| 5-0 \| win \| 2009 cecafa cup row 3 : 3 \| 8 october 2011 \| addis abeba \| madagascar \| 4-2 \| win \| 2012 caf qualification row 4 : 4 \| 2 december 2011 \| dar es salaam \| malawi \| 1-1 \| draw \| 2011 cecafa cup row 5 : 5 \| 17 june 2012 \| cotonou \| benin \| 1-1 \| draw \| 2013 africa cup of nations qualifier row 6 : 6 \| 8 september 2012 \| khartoum \| sudan \| 3-5 \| loss \| 2013 africa cup of nations qualifier row 7 : 7 \| 14 september 2012 \| addis abeba \| sudan \| 2-0 \| win \| 2013 africa cup of nations qualifier row 8 : 8 \| 21 january 2013 \| nelspruit \| zambia \| 1-1 \| draw \| 2013 africa cup of nations ] Execute this SQL based on the above table: select date where date != '8 october 2011' and venue = ( select venue where date = '8 october 2011' )	22 june 2008, 14 september 2012
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| united states \| 12 \| 13 \| 6 \| 31 row 2 : 2 \| russia \| 10 \| 5 \| 6 \| 21 row 3 : 3 \| australia \| 8 \| 12 \| 6 \| 26 row 4 : 4 \| china \| 7 \| 4 \| 8 \| 19 row 5 : 5 \| germany \| 5 \| 6 \| 5 \| 16 row 6 : 6 \| japan \| 3 \| 3 \| 3 \| 9 row 7 : 7 \| netherlands \| 3 \| 2 \| 2 \| 7 row 8 : 8 \| great britain \| 2 \| 3 \| 3 \| 8 row 9 : 9 \| ukraine \| 2 \| 3 \| 2 \| 7 row 10 : 10 \| italy \| 2 \| 2 \| 1 \| 5 row 11 : 11 \| canada \| 2 \| 0 \| 1 \| 3 row 12 : 12 \| hungary \| 1 \| 4 \| 1 \| 6 row 13 : 13 \| spain \| 1 \| 2 \| 3 \| 6 row 14 : 14 \| poland \| 1 \| 1 \| 0 \| 2 row 15 : 15 \| france \| 1 \| 0 \| 2 \| 3 row 16 : 16 \| finland \| 1 \| 0 \| 1 \| 2 row 17 : 17 \| belarus \| 1 \| 0 \| 0 \| 1 row 18 : 18 \| czech republic \| 0 \| 2 \| 0 \| 2 row 19 : 19 \| slovakia \| 0 \| 1 \| 1 \| 2 row 20 : 20 \| denmark \| 0 \| 1 \| 0 \| 1 row 21 : 20 \| croatia \| 0 \| 1 \| 0 \| 1 row 22 : 22 \| romania \| 0 \| 0 \| 2 \| 2 row 23 : 23 \| bulgaria \| 0 \| 0 \| 1 \| 1 row 24 : 23 \| mexico \| 0 \| 0 \| 1 \| 1 row 25 : 23 \| serbia and montenegro \| 0 \| 0 \| 1 \| 1 row 26 : 23 \| south africa \| 0 \| 0 \| 1 \| 1 row 27 : 23 \| sweden \| 0 \| 0 \| 1 \| 1 row 28 : 23 \| tunisia \| 0 \| 0 \| 1 \| 1 row 29 : total \| total \| 62 \| 65 \| 59 \| 186 ] Execute this SQL based on the above table: select count ( * ) where nation = 'total'	1
[ header: week \| room \| winning couple \| 2nd couple \| 3rd couple \| chumps row 1 : 1 \| guest bedroom 1 \| alisa and lysandra \| kyal and kara/brad \| chantelle and steve \| None row 2 : 2 \| downstairs bathrooms, laundry & terrace \| brad and dale \| alisa and lysandra \| chantelle and steve \| kyal and kara row 3 : 3 \| guest bedroom 2 \| kyal and kara \| chantalle and steve \| alisa and lysandra \| brad and dale row 4 : 4 \| upstairs bathroom \| kyal and kara \| brad and dale \| chantelle and steve \| alisa and lysandra row 5 : 5 \| kitchen \| alisa and lysandra \| kyal and kara \| brad and dale \| chantelle and steve row 6 : 6 \| living room and dining room \| chantelle and steve \| alisa and lysandra \| brad and dale / kyal \| None row 7 : 7 \| master bedroom and ensuite \| brad and dale \| chantelle and steve \| alisa and lysandra \| kyal and kara row 8 : 8 \| rooftop/outside terrace \| kyal and kara \| brad and dale \| alisa and lysandra \| chantelle and steve ] Execute this SQL based on the above table: select chumps where id = ( select id where chumps = 'brad and dale' ) + 1	alisa and lysandra
[ header: # \| date \| venue \| opponent \| result \| competition \| scored row 1 : 1 \| 5 march 2002 \| lagos \| sweden \| 3-6 \| algarve cup \| 1 row 2 : 2 \| 22 september 2002 \| st andrew's, \| iceland \| 1-0 \| 2003 fifa world cup qual \| 1 row 3 : 3 \| 21 october 2003 \| kryoia soveto, \| russia \| 2-2 \| friendly \| 1 row 4 : 4 \| 14 november 2003 \| deepdale, preston \| scotland \| 5-0 \| friendly \| 1 row 5 : 5 \| 16 september 2004 \| sportpark de wending, heer \| netherlands \| 2-1 \| friendly \| 1 row 6 : 6 \| 17 february 2005 \| national hockey stadium, milton keynes \| italy \| 4-1 \| friendly \| 1 row 7 : 7 \| 9 march 2005 \| faro \| portugal \| 4-0 \| algarve cup \| 1 row 8 : 8 \| 21 april 2005 \| prenton park, tranmere \| scotland \| 2-1 \| friendly \| 1 row 9 : 9 \| 5 june 2005 \| city of manchester stadium, manchester \| finland \| 3-2 \| 2005 uefa championship \| 1 row 10 : 10 \| 1 september 2005 \| ertl-glas-stadi \| austria \| 4-1 \| 2007 fifa world cup qual \| 1 ] Execute this SQL based on the above table: select competition order by scored desc limit 1	algarve cup
[ header: location \| building \| year \| km \| monument row 1 : bischofsheim \| station building \| 1958 \| 8.25 \| row 2 : russelsheim \| linesmen house \| 1863 \| 12.8 \| row 3 : raunheim \| station building \| 1863 \| 15.87 \| row 4 : raunheim \| linesmen house \| 1863 \| 17.39 \| row 5 : kelsterbach \| rail bridge \| 1863 \| 21.75 \| row 6 : kelsterbach \| linesmen house \| 1863 \| 23.6 \| row 7 : kelsterbach \| station building \| 1863 \| 23.81 \| row 8 : stadion \| station building \| 1879 \| 31.37 \| row 9 : niederrad \| station building \| 1882 \| 33.19 \| row 10 : sachsenhausen \| rail bridge \| 1864 \| 34.47 \| ] Execute this SQL based on the above table: select ( select km where location = 'raunheim' ) - ( select km where location = 'kelsterbach' )	-5.880000000000001
[ header: census year \| census year \| 2001 \| 2006 \| 2011 row 1 : population \| estimated residents on census night \| 58,319 \| 63,605 \| 67,356 row 2 : population \| lga rank in terms of size within \| None \| 19 \| None row 3 : population \| % of new south wales population \| None \| None \| 0.97% row 4 : population \| % of australian population \| 0.31% \| 0.32% \| 0.31% row 5 : cultural and language diversity \| cultural and language diversity \| None \| None \| None row 6 : ancestry, top responses \| english \| None \| None \| 20.5% row 7 : ancestry, top responses \| australian \| None \| None \| 18.3% row 8 : ancestry, top responses \| chinese \| None \| None \| 14.5% row 9 : ancestry, top responses \| irish \| None \| None \| 7.4% row 10 : ancestry, top responses \| scottish \| None \| None \| 5.6% row 11 : language, top responses (other than english) \| cantonese \| 6.7% \| 7.6% \| 7.5% row 12 : language, top responses (other than english) \| mandarin \| 3.6% \| 5.5% \| 7.2% row 13 : language, top responses (other than english) \| korean \| 1.7% \| 2.7% \| 3.6% row 14 : language, top responses (other than english) \| japanese \| 2.4% \| 2.4% \| 2.3% row 15 : language, top responses (other than english) \| armenian \| n/c \| 1.4% \| 1.3% row 16 : religious affiliation \| religious affiliation \| None \| None \| None row 17 : religious affiliation, top responses \| no religion \| 18.6% \| 22.0% \| 27.6% row 18 : religious affiliation, top responses \| catholic \| 26.1% \| 25.5% \| 25.0% row 19 : religious affiliation, top responses \| anglican \| 19.5% \| 17.6% \| 15.6% row 20 : religious affiliation, top responses \| buddhism \| 3.7% \| 4.4% \| 4.6% row 21 : religious affiliation, top responses \| presbyterian and reformed \| n/c \| n/c \| 3.1% row 22 : median weekly incomes \| median weekly incomes \| None \| None \| None row 23 : personal income \| median weekly personal income \| None \| a$728 \| a$858 row 24 : personal income \| % of australian median income \| None \| 156.2% \| 148.7% row 25 : family income \| median weekly family income \| None \| a$1,667 \| a$2,479 row 26 : family income \| % of australian median income \| None \| 162.3% \| 167.4% row 27 : household income \| median weekly household income \| None \| a$2,066 \| a$1,996 row 28 : household income \| % of australian median income \| None \| 176.4% \| 161.8% ] Execute this SQL based on the above table: select 2001 where 2011 > 118 and 2011 < 1992	19.5%
[ header: no. \| player \| birth date \| weight \| height \| position \| current club row 1 : 4 \| ardo kreek \| august 7, 1986 (age 27) \| 96 \| 203 \| middle blocker \| paris volley row 2 : 5 \| kert toobal \| june 3, 1979 (age 35) \| 78 \| 189 \| setter \| sivas 4 eylul row 3 : 6 \| martti juhkami \| june 6, 1988 (age 26) \| 96 \| 196 \| spiker \| tv buhl row 4 : 7 \| argo meresaar \| january 13, 1980 (age 34) \| 107 \| 206 \| opposite \| bigbank tartu row 5 : 8 \| kusti nolvak \| november 6, 1991 (age 22) \| 81 \| 186 \| setter \| ttu vk row 6 : 9 \| robert taht \| august 15, 1993 (age 20) \| 80 \| 190 \| spiker \| bigbank tartu row 7 : 11 \| oliver venno \| may 23, 1990 (age 24) \| 105 \| 210 \| opposite \| rennes volley 35 row 8 : 14 \| rait rikberg \| august 30, 1982 (age 31) \| 80 \| 174 \| libero \| bigbank tartu row 9 : 16 \| edgar jarvekulg \| june 12, 1988 (age 26) \| 77 \| 186 \| libero \| parnu vk row 10 : 17 \| siim ennemuist \| december 5, 1989 (age 24) \| 89 \| 196 \| middle blocker \| ttu vk row 11 : 18 \| jaanus nommsalu \| january 19, 1981 (age 33) \| 94 \| 200 \| spiker \| ttu vk row 12 : 19 \| andri aganits \| september 7, 1993 (age 20) \| 99 \| 207 \| middle blocker \| tv buhl ] Execute this SQL based on the above table: select position where no. = ( select no. where position = 'opposite' ) - 1	spiker
[ 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 rank# where id = ( select id where attendance = 60477 and attendance = 60477 ) - 1	#2
[ header: date \| venue \| opponent \| result \| tournament \| scored row 1 : 10 february 2008 \| craven park \| st. helens \| 24-22 \| super league xiii \| 1 row 2 : 24 march 2008 \| jjb stadium \| wigan warriors \| 18-12 \| super league xiii \| 1 row 3 : 13 april 2008 \| craven park \| bradford bulls \| 20-18 \| super league xiii \| 1 row 4 : 21 june 2008 \| craven park \| wakefield trinity wildcats \| 18-26 \| super league xiii \| 1 row 5 : 8 march 2009 \| craven park \| wakefield trinity wildcats \| 31-18 \| super league xiv \| 1 row 6 : 15 march 2009 \| craven park \| crusaders \| 48-18 \| super league xiv \| 3 row 7 : 3 may 2009 \| murrayfield stadium \| warrington wolves \| 28-36 \| super league xiv \| 1 row 8 : 20 june 2009 \| brewery field \| crusaders \| 18-32 \| super league xiv \| 2 row 9 : 21 august 2009 \| the willows \| salford city reds \| 10-14 \| super league xiv \| 1 row 10 : 5 september 2009 \| craven park \| warrington wolves \| 40-16 \| super league xiv \| 3 row 11 : 12 september 2009 \| belle vue \| wakefield trinity wildcats \| 24-10 \| super league xiv \| 1 row 12 : 7 february 2010 \| craven park \| salford city reds \| 30-12 \| super league xv \| 1 row 13 : 16 may 2010 \| craven park \| crusaders \| 54-10 \| super league xv \| 2 row 14 : 21 may 2010 \| knowsley road \| st. helens \| 68-12 \| super league xv \| 1 row 15 : 20 june 2010 \| craven park \| harlequins rl \| 42-6 \| super league xv \| 2 row 16 : 25 june 2010 \| galpharm stadium \| huddersfield giants \| 16-16 \| super league xv \| 1 row 17 : 4 july 2010 \| belle vue \| wakefield trinity wildcats \| 14-46 \| super league xv \| 1 row 18 : 15 july 2010 \| kc stadium \| hull \| 20-16 \| super league xv \| 1 row 19 : 24 july 2010 \| craven park \| bradford bulls \| 49-24 \| super league xv \| 2 row 20 : 15 august 2010 \| the willows \| salford city reds \| 18-44 \| super league xv \| 2 row 21 : 13 february 2011 \| millennium stadium \| hull \| 22-34 \| super league xv \| 1 row 22 : 20 february 2011 \| halliwell jones stadium \| warrington wolves \| 24-22 \| super league \| 2 row 23 : 7 march 2011 \| the jungle \| castleford tigers \| 27-14 \| super league \| 1 row 24 : 25 june 2011 \| twickenham stoop \| harlequins rl \| 0-34 \| super league \| 1 ] Execute this SQL based on the above table: select tournament where date = '13 april 2008'	super league xiii
[ header: date \| sub \| flight \| dead \| hurt \| pax. \| type \| perpetrator \| description row 1 : 27-jun-76 \| \| air france - 193 tl \| 4 \| 10 \| 260 \| hijacking -- hostage taking (8 days) \| pflp-eo (palestinian \| -hijacking in israeli row 2 : 23-nov-85 \| \| egypt air - 6 \| 58 \| 20 \| 95 \| hijacking -- hostage taking (2 days) \| abu nidal organisation \| -hijacking in greek air ] Execute this SQL based on the above table: select count ( perpetrator ) where dead > 58	0
[ header: title \| album details \| peak chart positions us \| peak chart positions us r&b \| certifications row 1 : can-i-bus \| released: september 8, 1998 label: universal format \| 2 \| 2 \| riaa: gold row 2 : 2000 b.c. (before can- \| released: july 18, 2000 label: universal \| 23 \| 6 \| None row 3 : c! true hollywood stories \| released: november 13, 2001 label: archives \| None \| 71 \| None row 4 : mic club: the curriculum \| released: november 19, 2002 label: mic \| None \| None \| None row 5 : rip the jacker \| released: july 22, 2003 label: baby \| 194 \| 34 \| None row 6 : mind control \| released: june 21, 2005 label: to \| None \| 79 \| None row 7 : hip-hop for sale \| released: november 22, 2005 label: baby \| None \| None \| None row 8 : for whom the beat tolls \| released: june 5, 2007 label: mic \| None \| None \| None row 9 : melatonin magik \| released: february 2, 2010 label: war \| None \| 91 \| None row 10 : c of tranquility \| released: october 5, 2010 label \| None \| 70 \| None row 11 : lyrical law \| released: june 24, 2011 label: can \| None \| None \| None ] Execute this SQL based on the above table: select count ( peak chart positions us r&b ) where peak chart positions us r&b = 0 and peak chart positions us r&b = 0	0
[ header: model \| availability \| introduced \| length of use \| last of whiteness row 1 : crest whitestrips classic previously crest \| discontinued \| may 2001 \| 14 days \| 12 months row 2 : crest whitestrips professional \| discontinued \| 2001 \| 10 days \| 12 months row 3 : crest whitestrips supreme \| dentist and online \| september 2003 \| 21 days \| 18 months row 4 : crest whitestrips premium \| discontinued \| january 2004 \| 7 days \| 12 months row 5 : crest whitestrips pro previously crest \| discontinued \| april 2005 \| 10 days \| 18 months row 6 : crest whitestrips renewal \| discontinued \| january 2006 \| 10 days \| 18 months row 7 : crest whitestrips daily multicare \| discontinued \| march 2007 \| daily \| white after using system row 8 : crest whitestrips advanced seal \| discontinued \| february 2009 \| 14 days \| 18 months row 9 : crest whitestrips 3d vivid \| instore and online \| 2009 \| 10 days \| 12 months row 10 : crest whitestrips 3d advanced vivid \| instore and online \| march 2010 \| 14 days \| 12 months row 11 : crest whitestrips 3d professional effects \| instore and online \| march 2010 \| 20 days \| 12 months row 12 : crest 3d white 2 hour express \| instore and online \| 2010 \| 2 hours \| 3 months row 13 : crest 3d intensive professional effects \| instore and online \| 2011 \| 7 days \| 12 months ] Execute this SQL based on the above table: select length of use where availability = 'discontinued'	14, 10, 7, 10, 10, 14
[ header: # \| date \| visitor \| score \| home \| record \| pts row 1 : 1 \| december 21 \| ottawa senators \| 5-2 \| montreal canadiens \| 1-0-0 \| 2 row 2 : 2 \| december 26 \| toronto arenas \| 2-5 \| ottawa senators \| 2-0-0 \| 4 row 3 : 3 \| december 31 \| ottawa senators \| 2-4 \| toronto arenas \| 2-1-0 \| 4 row 4 : 4 \| january 2 \| montreal canadiens \| 2-7 \| ottawa senators \| 3-1-0 \| 6 row 5 : 5 \| january 4 \| ottawa senators \| 2-5 \| montreal canadiens \| 3-2-0 \| 6 row 6 : 6 \| january 9 \| toronto arenas \| 2-4 \| ottawa senators \| 4-2-0 \| 8 row 7 : 7 \| january 14 \| ottawa senators \| 2-5 \| toronto arenas \| 4-3-0 \| 8 row 8 : 8 \| january 16 \| montreal canadiens \| 10-6 \| ottawa senators \| 4-4-0 \| 8 row 9 : 9 \| january 18 \| ottawa senators \| 3-5 \| montreal canadiens \| 4-5-0 \| 8 row 10 : 10 \| january 23 \| toronto arenas \| 2-3 \| ottawa senators \| 5-5-0 \| 10 row 11 : 11 \| january 25 \| ottawa senators \| 1-0 \| montreal canadiens \| 1-0-0 \| 2 row 12 : 12 \| january 28 \| ottawa senators \| 2-1 \| toronto arenas \| 2-0-0 \| 4 row 13 : 13 \| january 30 \| montreal canadiens \| 2-3 \| ottawa senators \| 3-0-0 \| 6 row 14 : 14 \| february 6 \| toronto arenas \| 1-3 \| ottawa senators \| 4-0-0 \| 8 row 15 : 15 \| february 8 \| ottawa senators \| 3-4 \| montreal canadiens \| 4-1-0 \| 18 row 16 : 16 \| february 13 \| montreal canadiens \| 0-7 \| ottawa senators \| 5-1-0 \| 10 row 17 : 17 \| february 18 \| ottawa senators \| 4-3 \| toronto arenas \| 6-1-0 \| 12 row 18 : 18 \| february 20 \| toronto arenas \| 3-9 \| ottawa senators \| 7-1-0 \| 14 ] Execute this SQL based on the above table: select record where record = 1	1-0-0, 1-0-0
[ 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 ( select count ( * ) where home = 'None' ) > 624	0
[ header: series \| launch date \| finale date \| days \| housemates \| winner \| main presenter \| grand prize \| liveshow audience millions row 1 : grande fratello 1 \| 14 september 2000 \| 21 december 2000 \| 99 \| 10 \| cristina plevani \| daria bignardi \| £250,000,000 (nowadays €12 \| 9.82 row 2 : grande fratello 2 \| 20 september 2001 \| 20 december 2001 \| 92 \| 16 \| flavio montrucchio \| daria bignardi \| £250,000,000 (nowadays €12 \| 8 row 3 : grande fratello 3 \| 30 january 2003 \| 8 may 2003 \| 99 \| 16 \| floriana secondi \| barbara d'urso \| €241,000 (reduced from €300 \| 8 row 4 : grande fratello 4 \| 22 january 2004 \| 6 may 2004 \| 106 \| 15 \| serena garitta \| barbara d'urso \| €300,000 \| 8.44 row 5 : grande fratello 5 \| 23 september 2004 \| 2 december 2004 \| 71 \| 17 \| jonathan kashanian \| barbara d'urso \| €250,000 \| 6.86 row 6 : grande fratello 6 \| 19 january 2006 \| 27 april 2006 \| 99 \| 18 \| augusto de megni \| alessia marcuzzi \| €900,000 (reduced from € \| 6.51 row 7 : grande fratello 7 \| 18 january 2007 \| 19 april 2007 \| 92 \| 19 \| milo coretti \| alessia marcuzzi \| €500,000 \| 5.57 row 8 : grande fratello 8 \| 21 january 2008 \| 21 april 2008 \| 92 \| 21 \| mario ferretti \| alessia marcuzzi \| €500,000 \| 5.46 row 9 : grande fratello 9 \| 12 january 2009 \| 20 april 2009 \| 99 \| 23 \| ferdi berisa \| alessia marcuzzi \| €300,000 \| 6.63 row 10 : grande fratello 10 \| 26 october 2009 \| 8 march 2010 \| 134 \| 26 \| mauro marin \| alessia marcuzzi \| €250,000 \| 6.16 row 11 : grande fratello 11 \| 18 october 2010 \| 18 april 2011 \| 183 \| 35 \| andrea cocco \| alessia marcuzzi \| €300,000 (extended from €2 \| 5.43 row 12 : grande fratello 12 \| 24 october 2011 \| 1 april 2012 \| 161 \| 36 \| sabrina mbarek \| alessia marcuzzi \| €240,000 (reduced from €2 \| 3.85 row 13 : grande fratello 13 \| 3 march 2014 \| early june \| 92 \| 15 \| None \| alessia marcuzzi \| €250,000 \| None ] Execute this SQL based on the above table: select count ( * )	13
[ header: material \| formula \| refractive index(es) 589.3 nm \| dispersion 431 - 687 nm \| hardness (mohs' scale) \| density (g/cm3) \| thermal cond. \| state of the art row 1 : diamond \| c \| 2.417 \| 0.044 \| 10 \| 3.52 \| excellent \| (natural) row 2 : glasses \| silica with pb, al, \| ~ 1.6 \| > 0.020 \| < 6 \| 2.4 - 4.2 \| poor \| 1700 - row 3 : white sapphire \| al2o3 \| 1.762 - 1.770 \| 0.018 \| 9 \| 3.97 \| poor \| 1900-1947 row 4 : spinel \| mgo·al2o3 \| 1.727 \| 0.02 \| 8 \| ~ 3.6 \| poor \| 1920-1947 row 5 : rutile \| tio2 \| 2.62 - 2.9 \| 0.33 \| ~ 6 \| 4.25 \| poor \| 1947-1955 row 6 : strontium titanate \| srtio3 \| 2.41 \| 0.19 \| 5.5 \| 5.13 \| poor \| 1955-1970 row 7 : yag \| y3al5o12 \| 1.83 \| 0.028 \| 8.25 \| 4.55 - 4.65 \| poor \| 1970-1975 row 8 : ggg \| gd3ga5o12 \| 1.97 \| 0.045 \| 7 \| 7.02 \| poor \| 1973-1975 row 9 : cubic zirconia \| zro2(+ rare earths \| ~ 2.2 \| ~ 0.06 \| ~ 8.3 \| ~ 5.7 \| poor \| 1976 - row 10 : moissanite \| sic \| 2.648 - 2.691 \| 0.104 \| 8.5-9.25 \| 3.2 \| high \| 1998 - row 11 : quartz \| silica \| 1.543 - 1.554 \| None \| 7- \| 2.50 - 2.65 \| None \| ancient ] Execute this SQL based on the above table: select thermal cond. where id = 1	excellent
[ header: place \| player \| country \| score \| to par row 1 : 1 \| tiger woods \| united states \| 67-66-67=200 \| -16 row 2 : t2 \| thomas bjørn \| denmark \| 69-69-68=206 \| -10 row 3 : t2 \| david duval \| united states \| 70-70-66=206 \| -10 row 4 : t4 \| darren clarke \| northern ireland \| 70-69-68=207 \| -9 row 5 : t4 \| loren roberts \| united states \| 69-68-70=207 \| -9 row 6 : t4 \| david toms \| united states \| 69-67-71=207 \| -9 row 7 : t7 \| ernie els \| south africa \| 66-72-70=208 \| -8 row 8 : t7 \| steve flesch \| united states \| 67-70-71=208 \| -8 row 9 : t7 \| tom lehman \| united states \| 68-70-70=208 \| -8 row 10 : t7 \| dennis paulson \| united states \| 68-71-70=208 \| -8 ] Execute this SQL based on the above table: select score where score != '69-67-71=207' and place = ( select place where score = '69-67-71=207' ) and country = 'united states'	69-68-70=207
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| india \| 102 \| 58 \| 37 \| 197 row 2 : 2 \| nepal \| 32 \| 10 \| 24 \| 65 row 3 : 3 \| sri lanka \| 16 \| 42 \| 62 \| 120 row 4 : 4 \| pakistan \| 10 \| 36 \| 30 \| 76 row 5 : 5 \| bangladesh \| 2 \| 10 \| 35 \| 47 row 6 : 6 \| bhutan \| 1 \| 6 \| 7 \| 14 row 7 : 7 \| maldives \| 0 \| 0 \| 4 \| 4 ] Execute this SQL based on the above table: select nation order by nation desc limit 1	sri lanka
[ header: year \| division \| league \| regular season \| playoffs \| open cup row 1 : 2006 \| 4 \| usl pdl \| 4th, heartland \| did not qualify \| did not qualify row 2 : 2007 \| 4 \| usl pdl \| 2nd, heartland \| conference semifinals \| did not qualify row 3 : 2008 \| 4 \| usl pdl \| 4th, heartland \| did not qualify \| 1st round row 4 : 2009 \| 4 \| usl pdl \| 4th, heartland \| did not qualify \| did not qualify row 5 : 2010 \| 4 \| usl pdl \| 5th, heartland \| did not qualify \| did not qualify row 6 : 2011 \| 4 \| usl pdl \| 5th, heartland \| did not qualify \| did not qualify row 7 : 2012 \| 4 \| usl pdl \| 7th, heartland \| did not qualify \| did not qualify row 8 : 2013 \| 4 \| usl pdl \| 5th, heartland \| did not qualify \| did not qualify ] Execute this SQL based on the above table: select regular season where regular season != '4th, heartland' and division = ( select division where regular season = '4th, heartland' )	2nd, heartland, 5th, heartland, 5th, heartland, 7th, heartland, 5th, heartland
[ header: district \| incumbent \| party \| first elected \| result \| candidates row 1 : virginia 1 \| thomas newton, j \| adams-clay republican \| 1801 \| re-elected \| thomas newton, j row 2 : virginia 2 \| arthur smith \| crawford republican \| 1821 \| retired jacksonian gain \| james trezvant (j) 75. row 3 : virginia 4 \| mark alexander \| crawford republican \| 1819 \| re-elected \| mark alexander (j) row 4 : virginia 5 \| john randolph \| crawford republican \| 1799 1819 \| re-elected \| john randolph (j) 100% row 5 : virginia 6 \| george tucker \| crawford republican \| 1819 \| retired jacksonian gain \| thomas davenport (j) row 6 : virginia 7 \| jabez leftwich \| crawford republican \| 1821 \| lost re-election jacksonia \| nathaniel h. row 7 : virginia 8 \| burwell bassett \| crawford republican \| 1805 1821 \| re-elected \| burwell bassett (j) 95. row 8 : virginia 9 \| andrew stevenson \| crawford republican \| 1821 \| re-elected \| andrew stevenson (j) row 9 : virginia 10 \| william c. rives \| crawford republican \| 1823 \| re-elected \| william c. rives ( row 10 : virginia 11 \| philip p. barbour \| crawford republican \| 1814 (special) \| retired adams gain \| robert taylor ( row 11 : virginia 12 \| robert s. garnett \| crawford republican \| 1817 \| re-elected \| robert s. garnett ( row 12 : virginia 16 \| james stephenson \| federalist \| 1821 \| retired adams gain \| william armstrong (a) 57 row 13 : virginia 17 \| jared williams \| crawford republican \| 1819 \| retired adams gain \| alfred h. powell (a row 14 : virginia 18 \| joseph johnson \| jackson republican \| 1823 \| re-elected \| joseph johnson (j) row 15 : virginia 19 \| william mccoy \| crawford republican \| 1811 \| re-elected \| william mccoy (j row 16 : virginia 20 \| john floyd \| crawford republican \| 1817 \| re-elected \| john floyd (j) 84 ] Execute this SQL based on the above table: select party where id = ( select id where party = 'jackson republican' ) + 1	crawford republican
[ header: place \| total \| men \| women \| children \| elderly \| serbs \| jews \| romani \| rusyns \| hungarians \| russians row 1 : becej \| 215 \| 111 \| 72 \| 13 \| 19 \| 102 \| 110 \| None \| None \| None \| None row 2 : vilovo \| 64 \| 44 \| 6 \| 8 \| 6 \| 64 \| None \| None \| None \| None \| None row 3 : gardinovci \| 37 \| 32 \| 3 \| None \| 2 \| 37 \| None \| None \| None \| None \| None row 4 : gospođinci \| 85 \| 47 \| 19 \| 15 \| 4 \| 73 \| 10 \| None \| 2 \| None \| None row 5 : đurđevo \| 223 \| 107 \| 60 \| 41 \| 15 \| 173 \| 22 \| None \| 27 \| None \| None row 6 : zabalj \| 666 \| 355 \| 141 \| 101 \| 69 \| 614 \| 28 \| 23 \| None \| 1 \| None row 7 : lok \| 47 \| 46 \| None \| None \| 1 \| 46 \| None \| None \| None \| 1 \| None row 8 : mosorin \| 205 \| 94 \| 41 \| 44 \| 26 \| 170 \| None \| 34 \| None \| 1 \| None row 9 : novi sad \| 1246 \| 489 \| 415 \| 165 \| 177 \| 375 \| 809 \| None \| 2 \| 18 \| 15 row 10 : srbobran \| 3 \| 3 \| None \| None \| None \| 2 \| 2 \| None \| None \| None \| None row 11 : temerin \| 48 \| 14 \| 15 \| 7 \| 12 \| 6 \| 42 \| None \| None \| None \| None row 12 : titel \| 51 \| 45 \| None \| 1 \| 5 \| 49 \| 1 \| None \| None \| None \| None row 13 : curug \| 893 \| 554 \| 153 \| 82 \| 104 \| 842 \| 44 \| 7 \| None \| None \| None row 14 : sajkas \| 26 \| 24 \| 2 \| None \| None \| 25 \| 1 \| None \| None \| None \| None row 15 : all places \| 3809 \| 1965 \| 927 \| 477 \| 440 \| 2578 \| 1068 \| 64 \| 31 \| 21 \| 15 ] Execute this SQL based on the above table: select ( select rusyns where place = 'đurđevo' ) - ( select rusyns where place = 'đurđevo' )	0.0
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| brazil \| 9 \| 0 \| 0 \| 9 row 2 : 2 \| argentina \| 0 \| 7 \| 1 \| 8 row 3 : 3 \| uruguay \| 0 \| 1 \| 4 \| 5 row 4 : 4 \| dominican republic \| 0 \| 1 \| 0 \| 1 row 5 : 5 \| chile \| 0 \| 0 \| 1 \| 1 row 6 : 5 \| greenland \| 0 \| 0 \| 1 \| 1 row 7 : 5 \| paraguay \| 0 \| 0 \| 1 \| 1 row 8 : 5 \| puerto rico \| 0 \| 0 \| 1 \| 1 row 9 : total \| total \| 9 \| 9 \| 9 \| 27 ] Execute this SQL based on the above table: select count ( distinct nation ) where nation != 'brazil'	8
[ header: pos \| driver \| entrant \| constructor \| time/retired \| grid row 1 : 1 \| jim clark \| team lotus \| lotus-climax \| 2.02:58.6 \| 1 row 2 : 2 \| richie ginther \| owen racing organisation \| brm \| + 22.6 s \| 3 row 3 : 3 \| graham hill \| owen racing organisation \| brm \| + 28.2 s \| 2 row 4 : 4 \| jack brabham \| brabham racing organisation \| brabham-climax \| + 52.0 s \| 11 row 5 : 5 \| tony maggs \| cooper car company \| cooper-climax \| 72 laps \| 6 row 6 : 6 \| bruce mclaren \| cooper \| cooper-climax \| 72 laps \| 7 row 7 : 7 \| mike hailwood \| reg parnell (racing) \| lola-climax \| 70 laps \| 9 row 8 : 8 \| ian burgess \| scirocco-powell (racing \| scirocco-brm \| 69 laps \| 18 row 9 : 9 \| peter revson \| reg parnell (racing) \| lotus-brm \| 69 laps \| 15 row 10 : 10 \| carel godin de beaufort \| ecurie maarsbergen \| porsche \| 67 laps \| 20 row 11 : 11 \| jo siffert \| siffert racing team \| lotus-brm \| engine (66 laps) \| 12 row 12 : 12 \| andre pilette \| andre pilette \| lotus-climax \| 63 laps \| 21 row 13 : 13 \| innes ireland \| british racing partnership \| lotus-brm \| oil pressure (56 laps) \| 5 row 14 : 14 \| bernard collomb \| bernard collomb \| lotus-climax \| oil pressure (46 laps) \| 19 row 15 : ret \| ian raby \| ian raby (racing) \| gilby-brm \| ignition \| 13 row 16 : ret \| dan gurney \| brabham racing organisation \| brabham-climax \| oil leak \| 16 row 17 : ret \| mike beckwith \| british racing partnership \| lotus-brm \| accident \| 17 row 18 : ret \| masten gregory \| tim parnell \| lotus-brm \| cam follower \| 14 row 19 : ret \| trevor taylor \| team lotus \| lotus-climax \| crownwheel & pinion \| 4 row 20 : ret \| jo bonnier \| rob walker racing team \| cooper-climax \| oil pressure \| 8 row 21 : ret \| tony settember \| scirocco-powell (racing \| scirocco-brm \| valve gear \| 22 row 22 : ret \| bob anderson \| dw racing enterprises \| lola-climax \| gearbox \| 10 row 23 : wd \| peter arundell \| team lotus \| lotus-climax \| car not ready \| None ] Execute this SQL based on the above table: select min ( pos )	1
[ header: year \| laetare medalist \| position row 1 : 1884 \| patrick charles keely \| architect row 2 : 1889 \| anna hanson dorsey \| novelist row 3 : 1890 \| william j. onahan \| organizer of the american catholic congress row 4 : 1892 \| henry f. brownson \| philosopher and author row 5 : 1899 \| mary gwendolin caldwell \| philanthropist row 6 : 1906 \| francis j. quinlan \| physician row 7 : 1908 \| james c. monaghan \| economist row 8 : 1911 \| agnes repplier \| author row 9 : 1913 \| charles george herbermann \| editor of the catholic encyclopedia row 10 : 1916 \| james joseph wals \| physician and author row 11 : 1917 \| admiral william shepherd benson \| chief of naval operations row 12 : 1922 \| charles patrick neill \| economist row 13 : 1923 \| walter george smith \| lawyer row 14 : 1924 \| charles donagh maginnis \| architect row 15 : 1925 \| albert francis zahm \| scientist row 16 : 1927 \| margaret anglin \| actress row 17 : 1932 \| stephen j. maher \| physician row 18 : 1936 \| richard reid \| journalist and lawyer row 19 : 1941 \| william thomas wals \| journalist and author row 20 : 1942 \| helen constance white \| author and teacher row 21 : 1944 \| anne o'hare mc \| journalist row 22 : 1945 \| gardiner howland shaw \| diplomat row 23 : 1947 \| william g. bruce \| publisher and civic leader row 24 : 1950 \| general joseph l. collin \| soldier row 25 : 1952 \| thomas e. murray \| member of the u.s. atomic row 26 : 1953 \| i.a. o'sh \| philanthropist row 27 : 1956 \| general alfred m. gruent \| soldier row 28 : 1958 \| frank m. folsom \| industrialist row 29 : 1964 \| phyllis mcginley \| poet row 30 : 1966 \| patrick f. & patricia car \| founders of the christian movement row 31 : 1967 \| j. peter grace \| industrialist row 32 : 1968 \| robert sargent shriver \| diplomat row 33 : 1977 \| mike mansfield \| former senate majority leader row 34 : 1979 \| helen hayes \| actress row 35 : 1980 \| thomas p. (tip) \| speaker of the house row 36 : 1982 \| john francis cardinal dearden \| archbishop emeritus of row 37 : 1984 \| john t. noonan, j \| lawyer row 38 : 1990 \| sister thea bowman (posthumously) \| educator row 39 : 1996 \| sister helen prejean \| death penalty abolitionist row 40 : 1998 \| dr. edmund \| medical ethicist and educator row 41 : 1999 \| philip gleason \| professor emeritus of history, notre row 42 : 2008 \| martin sheen \| actor row 43 : 2009 \| not awarded (see below) \| None row 44 : 2010 \| dana gioia \| former chairman of national endowment for the arts row 45 : 2011 \| sister mary scullion, r \| social advocates ] Execute this SQL based on the above table: select count ( year ) where year = 0	0
[ header: japanese title \| western title \| regions \| release \| platform(s) \| genre row 1 : chinese hero \| None \| jp \| 1984 \| arcade \| action row 2 : super chinese \| kung-fu heroes \| jp, na \| 1986 \| fc/nes \| action row 3 : super chinese 2 \| little ninja brothers \| jp, na \| 1989 \| fc/nes \| role-playing row 4 : super chinese 3 \| None \| jp \| 1991 \| fc \| role-playing row 5 : super chinese land \| ninja boy \| jp, na \| 1990 \| gb \| action row 6 : super chinese land 2 \| ninja boy 2 \| jp, na \| 1990 \| gb \| role-playing row 7 : super chinese land 3 \| None \| jp \| 1995 \| gb \| role-playing row 8 : super chinese world \| super ninja boy \| jp, na \| 1991 \| sfc/snes \| role-playing row 9 : super chinese world 2 \| None \| jp \| 1993 \| sfc \| role-playing row 10 : super chinese world 3 \| None \| jp \| 1995 \| sfc \| role-playing row 11 : super chinese fighter \| None \| jp \| 1995 \| sfc \| fighting row 12 : super chinese fighter gb \| None \| jp \| 1996 \| gb \| fighting row 13 : super chinese fighter ex \| None \| jp \| 1999 \| gbc \| fighting ] Execute this SQL based on the above table: select ( select release where release = 1995 ) > ( select release where release = 1984 )	1
[ header: rank \| wrestler \| no. of reigns \| combined defenses \| combined days row 1 : 1 \| keiji mutoh \| 4 \| 19 \| 1238 row 2 : 2 \| hiroshi tanahashi \| 6 \| 27 \| 1237 row 3 : 3 \| shinya hashimoto \| 3 \| 20 \| 1052 row 4 : 4 \| tatsumi fujinami \| 6 \| 13 \| 785 row 5 : 5 \| kensuke sasaki \| 5 \| 9 \| 647 row 6 : 6 \| yuji nagata \| 2 \| 12 \| 570 row 7 : 7 \| kazuchika okada \| 2 \| 10 \| 556 row 8 : 8 \| kazuyuki fujita \| 3 \| 3 \| 478 row 9 : 9 \| big van vader \| 3 \| 4 \| 451 row 10 : 10 \| shinsuke nakamur \| 3 \| 9 \| 390 row 11 : 11 \| riki choshu \| 3 \| 5 \| 383 row 12 : 12 \| antonio inoki \| 1 \| 4 \| 325 row 13 : 13 \| brock lesnar \| 1 \| 3 \| 280 row 14 : 14 \| hiroyoshi tenzan \| 4 \| 2 \| 197 row 15 : 15 \| yoshihiro takayama \| 1 \| 3 \| 185 row 16 : 16 \| satoshi kojima \| 2 \| 2 \| 168 row 17 : 17 \| togi makabe \| 1 \| 3 \| 161 row 18 : 18 \| scott norton \| 2 \| 4 \| 126 row 19 : 19 \| nobuhiko takada \| 1 \| 1 \| 116 row 20 : 20 \| bob sapp \| 1 \| 1 \| 66 row 21 : 21 \| salman hashimikov \| 1 \| 0 \| 48 row 22 : 21 \| tadao yas \| 1 \| 1 \| 48 row 23 : 23 \| manabu nakanishi \| 1 \| 0 \| 45 row 24 : 24 \| masahiro chono \| 1 \| 0 \| 44 row 25 : 25 \| genichiro tenryu \| 1 \| 0 \| 25 ] Execute this SQL based on the above table: select wrestler where wrestler = 'salman hashimikov'	salman hashimikov
[ header: pos. \| name \| place of birth \| date of birth \| previous club \| date joined \| fee row 1 : gk \| alan buck \| colchester \| 25 august 1946 \| youth team \| 1 august 1964 \| free row 2 : gk \| sandy kennon \| johannesburg \| 28 november 1933 \| norwich city \| 6 march 1965 \| free row 3 : df \| duncan forbes \| edinburgh \| 19 june 1941 \| musselburgh athletic \| 14 april 1962 \| free row 4 : df \| john fowler \| leith \| 17 october 1933 \| bonnyrigg rose athletic \| 20 august 1955 \| free row 5 : df \| brian hall \| burbage \| 9 march 1939 \| mansfield town \| 6 march 1965 \| free row 6 : df \| mick loughton \| colchester \| 8 december 1942 \| youth team \| 1 august 1964 \| free row 7 : df \| ray price \| hetton-le-hole \| 18 may 1944 \| norwich city \| 6 february 1965 \| free row 8 : df \| david raine \| darlington \| 28 march 1937 \| doncaster rovers \| 24 september 1965 \| free row 9 : mf \| barrie aitchison \| colchester \| 15 november 1937 \| tottenham hotspur \| 22 august 1964 \| £750 row 10 : mf \| bobby blackwood \| edinburgh \| 20 august 1934 \| ipswich town \| 1 september 1965 \| free row 11 : mf \| arthur kaye \| higham \| 9 may 1933 \| middlesbrough \| 21 august 1965 \| free row 12 : mf \| john mansfield \| colchester \| 13 september 1946 \| youth team \| 1 august 1964 \| free row 13 : mf \| derek trevis \| birmingham \| 9 september 1942 \| aston villa \| 7 march 1964 \| free row 14 : fw \| peter bullock \| stoke-on-trent \| 17 november 1941 \| southend united \| 30 october 1965 \| free row 15 : fw \| reg stratton \| kingsley \| 10 july 1939 \| fulham \| 21 august 1965 \| free ] Execute this SQL based on the above table: select name where id = 1	alan buck
[ header: ano \| title \| role \| channel \| notes row 1 : 1994 \| inconquistable corazon \| victoria \| canal 9 \| None row 2 : 1995 \| dulce ana \| veronica iturbe montalban \| canal 9 \| None row 3 : 1996 \| 90-60-90 modelos \| lucia peralta \| canal 9 \| None row 4 : 1997 \| ricos y famos \| valeria garcia mendez de \| canal 9 \| None row 5 : 1998-1999 \| muneca brava \| milagros 'mili' e \| telefe \| nominated - martin fierr row 6 : 2002 \| kachorra \| antonia guerrero (kachorr \| telefe \| nominated - martin fierr row 7 : 2004 \| el deseo \| carmen \| telefe \| None row 8 : 2005 \| botines \| renee \| canal 13 \| in "bailarina en row 9 : 2006 \| sos mi vida \| esperanza "la monita \| canal 13 \| won - martin fierro row 10 : 2007 \| patito feo \| patricia gonzalez \| canal 13 \| guest appearance row 11 : 2008 \| amanda o \| amanda o \| on internet and america television \| martin fierro - leading actress row 12 : 2008 \| recurso natural \| None \| canal 7 \| host row 13 : 2010 \| se dice de mi \| None \| canal encuentro \| host row 14 : 2011 \| cuando me sonreis \| leonora bellami \| telefe \| guest appearance row 15 : 2012-2013 \| lynch \| isabel reyes alias marian \| moviecity \| None row 16 : 2013 \| solamente vos \| aurora andres \| canal 13 \| won - tato awards best lead ] Execute this SQL based on the above table: select channel where role = 'lucia peralta' union select title where role = 'lucia peralta'	90-60-90 modelos, canal 9
[ header: year \| title \| role \| notes row 1 : 2014 \| and so it goes \| producer \| starring michael douglas and row 2 : 2011 \| flypaper \| producer \| starring patrick dempsey and row 3 : 2007 \| captivity \| producer \| None row 4 : 2006 \| o jerusalem \| producer \| None row 5 : 2005 \| the upside of anger \| executive producer \| starring kevin costner and jo row 6 : 2004 \| beyond the sea \| executive producer \| starring kevin spacey row 7 : 2004 \| the i inside \| producer \| None row 8 : 2003 \| monster \| producer \| starring charlize theron academy row 9 : 2003 \| 11:14 \| executive producer \| None row 10 : 2002 \| extreme ops \| executive producer \| None row 11 : 2001 \| the musketeer \| executive producer \| None row 12 : 2001 \| the body \| executive producer \| None row 13 : 1997 \| the blackout \| executive producer \| None row 14 : 1996 \| the winner \| executive producer \| None row 15 : 1993 \| stalingrad \| executive producer \| None row 16 : 1991 \| diary of a hitman \| executive producer \| None row 17 : 1990 \| vietnam, texas \| executive producer \| None row 18 : 1989 \| wild orchid \| producer \| starring mickey rourke row 19 : 1988 \| high spirits \| executive producer \| None row 20 : 1988 \| mac and me \| executive producer \| None row 21 : 1986 \| flight of the navigator \| executive producer \| None row 22 : 1986 \| short circuit \| executive producer \| None row 23 : 1986 \| 9 1/2 weeks \| producer \| starring mickey rourke and row 24 : 1984 \| metropolis \| sales agent \| directed by fritz lang row 25 : 1984 \| the neverending story \| executive producer \| directed by wolfgang petersen row 26 : 1977 \| the choirboys \| executive producer \| None row 27 : 1974 \| there is no 13 \| george thomas \| None row 28 : 1973 \| "hannah, queen of the vampires" \| peter \| None row 29 : 1973 \| the devil's wedding night \| karl schiller \| None row 30 : 1973 \| little mother \| riano \| None row 31 : 1972 \| byleth - il demone de \| duke lionello shandwell \| None row 32 : 1972 \| i leoni di pietroburgo \| eldar \| None row 33 : 1972 \| confessioni segrete di un convento di \| domenico \| None row 34 : 1972 \| they call him veritas \| veritas \| None row 35 : 1971 \| l'arciere di fuoco \| allen \| None row 36 : 1971 \| pistol packin' preacher \| slim \| None row 37 : 1968 \| dead men don't count \| johnny dalton \| None row 38 : 1967 \| requiescant \| george ferguson \| also starring pier paolo pas row 39 : 1966 \| johnny oro \| johnny oro/ringo \| directed by sergio corbucci row 40 : 1964 \| son of cleopatra \| el kebir \| None row 41 : 1964 \| i cento cavalieri \| don fernando herrera y \| None row 42 : 1963 \| the tyrant of castile \| pietro i: re di castigl \| None row 43 : 1963 \| the young racers \| stephen children \| directed by roger corman row 44 : 1962 \| the reluctant saint \| aldo \| directed by edward dmytry row 45 : 1962 \| the longest day \| pvt. harris \| also starring richard burton and se row 46 : 1962 \| beauty and the beast \| eduardo \| None ] Execute this SQL based on the above table: select notes where notes in ( 'starring mickey rourke and kim basinger directed by adrian lyne' , 'also starring richard burton and sean connery' ) order by year desc limit 1	also starring richard burton and sean connery
[ header: school \| conference \| record (conference) \| head coach \| cws appearances \| cws best finish \| cws record row 1 : arizona \| None \| 36-8 (n/a) \| frank sancet \| 4 (last: 1958) \| 2nd (1956) \| 7-8 row 2 : clemson \| acc \| 23 -6 (11-5, 0 \| bill wilhelm \| 1 (last: 1958) \| 5th (1958) \| 1-2 row 3 : colorado state \| None \| 24-5 (n/a) \| pete butler \| 5 (last: 1958) \| 5th (1955) \| 2-10 row 4 : connecticut \| None \| 20-1 (n/a) \| j. orlean christian \| 1 (last: 1957) \| 5th (1957) \| 1-2 row 5 : fresno state \| None \| 38-11 (n/a) \| pete beiden \| 0 (last: none) \| none \| 0-0 row 6 : oklahoma state \| big 8 \| 22-4 (17-3, 0 gb \| toby greene \| 2 (last: 1955) \| 3rd (1955) \| 5-4 row 7 : penn state \| None \| 15-4 (n/a) \| joe bedenk \| 2 (last: 1957) \| 2nd (1957) \| 5-4 row 8 : western michigan \| mac \| 24-7 (8-2, 0 gb \| charlie maher \| 3 (last: 1958) \| 2nd (1955) \| 7-6 ] Execute this SQL based on the above table: select count ( * ) where record (conference) = '36-8 (n/a)'	1
[ header: rank \| bib \| name \| country \| time \| deficit row 1 : None \| 43 \| daniel richardsson \| sweden \| 39:08.5 \| 38.8 row 2 : 4 \| 13 \| iivo niskanen \| finland \| 39:08.7 \| 39 row 3 : 7 \| 31 \| alexander bessmertny \| russia \| 39:37.7 \| +1:08.0 row 4 : 12 \| 33 \| eldar rønning \| norway \| 40:02.8 \| +1:33.1 row 5 : 14 \| 29 \| jens filbrich \| germany \| 40:08.5 \| +1:38.8 row 6 : 15 \| 28 \| lars nelson \| sweden \| 40:08.8 \| +1.39.1 row 7 : 20 \| 41 \| matti heikkinen \| finland \| 40:17.8 \| +1:48.1 row 8 : 22 \| 25 \| curdin perl \| switzerland \| 40:27.8 \| +1:58.1 row 9 : 24 \| 11 \| jonas baumann \| switzerland \| 40.33.2 \| +2:03.5 row 10 : 30 \| 22 \| francesco de fabiani \| italy \| 41:00.8 \| +2:31.1 row 11 : 31 \| 32 \| noah hoffman \| united states \| 41:02.7 \| +2:33.0 row 12 : 35 \| 38 \| devon kershaw \| canada \| 41:17.1 \| +2:47.4 row 13 : 36 \| 27 \| mattia pellegrin \| italy \| 41:20.1 \| +2:50.4 row 14 : 39 \| 39 \| ivan babikov \| canada \| 41:49.2 \| +3:19.5 row 15 : 43 \| 16 \| adrien backscheider \| france \| 42.21.7 \| +3:52.0 row 16 : 46 \| 1 \| sergey mikayelyan \| armenia \| 42:39.1 \| +4:09.4 row 17 : 49 \| 54 \| alexander lasutkin \| belarus \| 42:45.1 \| +4.15.4 row 18 : 51 \| 64 \| peter mlynar \| slovakia \| 42:50.3 \| +4.20.6 row 19 : 54 \| 58 \| yerdos akhmadiy \| kazakhstan \| 43:02.2 \| +4:32.5 row 20 : 58 \| 68 \| martin møller \| denmark \| 43:29.7 \| +5:00.0 row 21 : 59 \| 24 \| michail semenov \| belarus \| 43:36.0 \| +5:06.3 row 22 : 61 \| 59 \| raido rankel \| estonia \| 43:38.9 \| +5:09.2 row 23 : 67 \| 66 \| callum smith \| great britain \| 44:14.7 \| +5:45.0 row 24 : 69 \| 71 \| oleksii kraso \| ukraine \| 44:35.4 \| +6:05.7 row 25 : 74 \| 85 \| sævar birgisson \| iceland \| 45:44.2 \| +7:14.5 row 26 : 78 \| 80 \| milan szabo \| hungary \| 47:01.3 \| +8:31.6 row 27 : 79 \| 83 \| sattar seid \| iran \| 47:16.1 \| +8:46.4 row 28 : 80 \| 86 \| bold byambadorj \| mongolia \| 48:29.6 \| +9:59.9 row 29 : 84 \| 88 \| tucker murphy \| bermuda \| 49:19.9 \| +10:50.2 ] Execute this SQL based on the above table: select country order by bib desc limit 1	bermuda
[ header: \| \| \| \| \| \| \| \| \| \| row 1 : 2010s \| 2010 \| 2011 \| 2012 \| 2013 \| 2014 \| 2015 \| 2016 \| 2017 \| 2018 \| None row 2 : 2000s \| 2000 \| 2001 \| 2002 \| 2003 \| 2004 \| 2005 \| 2006 \| 2007 \| 2008 \| 2009 row 3 : 1990s \| 1990 \| 1991 \| 1992 \| 1993 \| 1994 \| 1995 \| 1996 \| 1997 \| 1998 \| 1999 row 4 : 1980s \| 1980 \| 1981 \| 1982 \| 1983 \| 1984 \| 1985 \| 1986 \| 1987 \| 1988 \| 1989 row 5 : 1970s \| 1970 \| 1971 \| 1972 \| 1973 \| 1974 \| 1975 \| 1976 \| 1977 \| 1978 \| 1979 row 6 : 1960s \| 1960 \| 1961 \| 1962 \| 1963 \| 1964 \| 1965 \| 1966 \| 1967 \| 1968 \| 1969 row 7 : 1950s \| 1950 \| 1951 \| 1952 \| 1953 \| 1954 \| 1955 \| 1956 \| 1957 \| 1958 \| 1959 row 8 : 1940s \| 1940 \| 1941 \| 1942 \| 1943 \| 1944 \| 1945 \| 1946 \| 1947 \| 1948 \| 1949 row 9 : 1930s \| 1930 \| 1931 \| 1932 \| 1933 \| 1934 \| 1935 \| 1936 \| 1937 \| 1938 \| 1939 row 10 : 1920s \| 1920 \| 1921 \| 1922 \| 1923 \| 1924 \| 1925 \| 1926 \| 1927 \| 1928 \| 1929 row 11 : 1910s \| 1910 \| 1911 \| 1912 \| 1913 \| 1914 \| 1915 \| 1916 \| 1917 \| 1918 \| 1919 row 12 : 1900s \| 1900 \| 1901 \| 1902 \| 1903 \| 1904 \| 1905 \| 1906 \| 1907 \| 1908 \| 1909 row 13 : 1890s \| 1890 \| 1891 \| 1892 \| 1893 \| 1894 \| 1895 \| 1896 \| 1897 \| 1898 \| 1899 row 14 : 1880s \| 1880 \| 1881 \| 1882 \| 1883 \| 1884 \| 1885 \| 1886 \| 1887 \| 1888 \| 1889 row 15 : 1870s \| 1870 \| 1871 \| 1872 \| 1873 \| 1874 \| 1875 \| 1876 \| 1877 \| 1878 \| 1879 ] Execute this SQL based on the above table: select count ( ) where > 1887	13
[ header: year \| competition \| venue \| position \| notes row 1 : 2002 \| world junior championships \| kingston, jamaica \| 1st \| 64.51 m (1.75 kg) row 2 : 2002 \| asian games \| busan, south korea \| 1st \| 60.76 m row 3 : 2003 \| universiade \| daegu, south korea \| 1st \| 62.32 m row 4 : 2003 \| asian championships \| manila, philippines \| 1st \| 61.43 m row 5 : 2004 \| olympic games \| athens, greece \| 18th (q) \| 60.60 m row 6 : 2005 \| world championships \| helsinki, finland \| 18th (q) \| 61.75 m row 7 : 2005 \| universiade \| izmir, turkey \| 7th \| 59.67 m row 8 : 2005 \| east asian games \| macau \| 1st \| 61.74 m row 9 : 2006 \| asian games \| doha, qatar \| 5th \| 58.54 m row 10 : 2009 \| asian championships \| guangzhou, china \| 3rd \| 59.27 m ] Execute this SQL based on the above table: select count ( * ) where competition = 'east asian games'	1
[ header: season \| level \| division \| section \| position \| movements row 1 : 1960 \| tier 4 \| division 4 \| halsingland \| 3rd \| None row 2 : 1961 \| tier 4 \| division 4 \| halsingland \| 2nd \| None row 3 : 1962 \| tier 4 \| division 4 \| halsingland \| 1st \| promoted row 4 : 1963 \| tier 3 \| division 3 \| sodra norrland \| 6th \| None row 5 : 1964 \| tier 3 \| division 3 \| sodra norrland nedre \| 4th \| None row 6 : 1965 \| tier 3 \| division 3 \| sodra norrland nedre \| 10th \| relegated row 7 : 1966 \| tier 4 \| division 4 \| halsingland \| 9th \| None row 8 : 1967 \| tier 4 \| division 4 \| halsingland \| 2nd \| None row 9 : 1968 \| tier 4 \| division 4 \| halsingland \| 6th \| None row 10 : 1969 \| tier 4 \| division 4 \| halsingland \| 3rd \| None row 11 : 1970 \| tier 4 \| division 4 \| halsingland \| 2nd \| None row 12 : 1971 \| tier 4 \| division 4 \| halsingland \| 1st \| promotion playoffs - promoted row 13 : 1972 \| tier 3 \| division 3 \| norra svealand \| 6th \| None row 14 : 1973 \| tier 3 \| division 3 \| norra svealand \| 11th \| relegated row 15 : 1974 \| tier 4 \| division 4 \| halsingland \| 1st \| promoted row 16 : 1975 \| tier 3 \| division 3 \| sodra norrland \| 9th \| None row 17 : 1976 \| tier 3 \| division 3 \| sodra norrland \| 9th \| None row 18 : 1977 \| tier 3 \| division 3 \| sodra norrland \| 9th \| None row 19 : 1978 \| tier 3 \| division 3 \| sodra norrland \| 6th \| None row 20 : 1979 \| tier 3 \| division 3 \| sodra norrland \| 9th \| None row 21 : 1980 \| tier 3 \| division 3 \| sodra norrland \| 7th \| None row 22 : 1981 \| tier 3 \| division 3 \| sodra norrland \| 9th \| None row 23 : 1982 \| tier 3 \| division 3 \| sodra norrland \| 12th \| relegated row 24 : 1982 \| tier 4 \| division 4 \| halsingland \| 3rd \| None ] Execute this SQL based on the above table: select count ( * )	24
[ header: year \| division \| league \| regular season \| playoffs \| open cup \| avg. attendance row 1 : 2001 \| 2 \| usl a-league \| 4th, western \| quarterfinals \| did not qualify \| 7169 row 2 : 2002 \| 2 \| usl a-league \| 2nd, pacific \| 1st round \| did not qualify \| 6260 row 3 : 2003 \| 2 \| usl a-league \| 3rd, pacific \| did not qualify \| did not qualify \| 5871 row 4 : 2004 \| 2 \| usl a-league \| 1st, western \| quarterfinals \| 4th round \| 5628 row 5 : 2005 \| 2 \| usl first division \| 5th \| quarterfinals \| 4th round \| 6028 row 6 : 2006 \| 2 \| usl first division \| 11th \| did not qualify \| 3rd round \| 5575 row 7 : 2007 \| 2 \| usl first division \| 2nd \| semifinals \| 2nd round \| 6851 row 8 : 2008 \| 2 \| usl first division \| 11th \| did not qualify \| 1st round \| 8567 row 9 : 2009 \| 2 \| usl first division \| 1st \| semifinals \| 3rd round \| 9734 row 10 : 2010 \| 2 \| ussf d-2 pro league \| 3rd, usl (3rd) \| quarterfinals \| 3rd round \| 10727 ] Execute this SQL based on the above table: select count ( * ) where playoffs + regular season = 0	0
[ header: # \| president \| president's party \| senate with \| senate opposed \| house with \| house opposed \| years served \| elections won row 1 : 1 \| george washington \| federalist-leaning \| 8 \| 0 \| 6 \| 2 \| 8 \| 2 row 2 : 3 \| thomas jefferson \| democratic-republican \| 8 \| 0 \| 8 \| 0 \| 8 \| 2 row 3 : 4 \| james madison \| democratic-republican \| 8 \| 0 \| 8 \| 0 \| 8 \| 2 row 4 : 7 \| andrew jackson \| democratic \| 8 \| 0 \| 8 \| 0 \| 8 \| 2 row 5 : 8 \| martin van buren \| democratic \| 4 \| 0 \| 4 \| 0 \| 4 \| 1 row 6 : 10 \| john tyler \| whig/none \| 4 \| 0 \| 2 \| 2 \| 4 \| 0 row 7 : 13 \| millard fillmore \| whig \| 0 \| 3 \| 0 \| 3 \| 3 \| 0 row 8 : 15 \| james buchanan \| democratic \| 4 \| 0 \| 2 \| 2 \| 4 \| 1 row 9 : 16 \| abraham lincoln \| republican \| 4 \| 0 \| 4 \| 0 \| 4 \| 2 row 10 : 17 \| andrew johnson \| democratic \| 0 \| 4 \| 0 \| 4 \| 4 \| 0 row 11 : 18 \| ulysses grant \| republican \| 8 \| 0 \| 6 \| 2 \| 8 \| 2 row 12 : 20 \| james garfield \| republican \| 0 \| 0.5 \| 0.5 \| 0 \| 0.5 \| 1 row 13 : 21 \| chester arthur \| republican \| 4 \| 0 \| 2 \| 2 \| 4 \| 0 row 14 : 24 \| grover cleveland \| democratic \| 2 \| 2 \| 2 \| 2 \| 4 \| 1 row 15 : 25 \| william mckinley \| republican \| 4 \| 0 \| 4 \| 0 \| 4 \| 2 row 16 : 26 \| theodore roosevel \| republican \| 8 \| 0 \| 8 \| 0 \| 8 \| 1 row 17 : 27 \| william taft \| republican \| 4 \| 0 \| 2 \| 2 \| 4 \| 1 row 18 : 28 \| woodrow wilson \| democratic \| 6 \| 2 \| 6 \| 2 \| 8 \| 2 row 19 : 29 \| warren harding \| republican \| 2 \| 0 \| 2 \| 0 \| 2 \| 1 row 20 : 30 \| calvin coolidge \| republican \| 6 \| 0 \| 6 \| 0 \| 6 \| 1 row 21 : 31 \| herbert hoover \| republican \| 4 \| 0 \| 2 \| 2 \| 4 \| 1 row 22 : 34 \| dwight eisenhower \| republican \| 2 \| 6 \| 2 \| 6 \| 8 \| 2 row 23 : 36 \| lyndon johnson \| democratic \| 5 \| 0 \| 5 \| 0 \| 5 \| 1 row 24 : 38 \| gerald ford \| republican \| 0 \| 2 \| 0 \| 2 \| 2 \| 0 row 25 : 39 \| jimmy carter \| democratic \| 4 \| 0 \| 4 \| 0 \| 4 \| 1 row 26 : 41 \| george h. w. bush \| republican \| 0 \| 4 \| 0 \| 4 \| 4 \| 1 row 27 : 42 \| bill clinton \| democratic \| 2 \| 6 \| 2 \| 6 \| 8 \| 2 row 28 : 43 \| george w. bush \| republican \| 4.5 \| 3.5 \| 6 \| 2 \| 8 \| 2 row 29 : 44 \| barack obama \| democratic \| 6 \| 0 \| 2 \| 4 \| 6 \| 2 ] Execute this SQL based on the above table: select 2015 - 1912	103
[ 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 distributor where notes is null order by id limit 1	new line cinema
[ header: description \| total \| poland \| baltic states(resettled in poland during war) \| resettled in poland during war(from ussr and romania) \| sudetendeutsch \| se europe (hungary, romania, yugoslavia & slovakia) row 1 : total population before flight & expulsion \| 16199086 \| 11038826 \| 145615 \| 365622 \| 3160216 \| 1488807 row 2 : violent deaths \| 58256 \| 44603 \| 383 \| 747 \| 5596 \| 6927 row 3 : suicides \| 14356 \| 10330 \| 157 \| 84 \| 3411 \| 374 row 4 : deported( forced labor ussr) \| 49542 \| 32947 \| 1566 \| 6465 \| 705 \| 7859 row 5 : in internment camps \| 80522 \| 27847 \| 952 \| 1037 \| 6615 \| 44071 row 6 : during the wartime flight \| 93283 \| 86860 \| 2394 \| 738 \| 629 \| 2662 row 7 : in the course of the expulsions \| 63876 \| 57814 \| 3510 \| 561 \| 1481 \| 510 row 8 : cause undetermined \| 112612 \| 106991 \| 64 \| 3116 \| 379 \| 2062 row 9 : other misc \| 566 \| None \| 38 \| 141 \| 73 \| 314 row 10 : total confirmed deaths \| 473013 \| 367392 \| 9064 \| 12889 \| 18889 \| 64779 row 11 : total unsolved cases \| 1905991 \| 1404993 \| 19374 \| 73794 \| 287169 \| 120661 ] Execute this SQL based on the above table: select se europe (hungary, romania, yugoslavia & slovakia) where description = 'cause undetermined'	2062.0