sail/symbolic-instruction-tuning huggingface dataset:
[Table] header: Series | Monday | Tuesday | Wednesday | Thursday | Friday | Saturday | Sunday row 1 : Celebrity Big Brother 8 | Emma Willis Jamie East | Emma Willis | Emma Willis | Emma Willis | Emma Willis Jamie East | Alice Levine Jamie East | Alice Levine Jamie East
row 2 : Big Brother 12 | Emma Willis Jamie East | Emma Willis | Emma Willis | Emma Willis | Emma Willis Jamie East | Alice Levine Jamie East | Alice Levine Jamie East
row 3 : Celebrity Big Brother 9 | Emma Willis Jamie East | Emma Willis | Emma Willis | Emma Willis | Emma Willis Jamie East | Alice Levine Jamie East | Alice Levine Jamie East
row 4 : Big Brother 13 | Emma Willis Jamie East | Emma Willis | Emma Willis | Emma Willis | Emma Willis Jamie East | Alice Levine Jamie East | Alice Levine Jamie East
row 5 : Celebrity Big Brother 10 | Emma Willis Jamie East | Emma Willis | Emma Willis | Emma Willis | Emma Willis Jamie East | Alice Levine Jamie East | Alice Levine Jamie East
row 6 : Celebrity Big Brother 11 | Emma Willis Jamie East | Emma Willis | Emma Willis | Emma Willis | Emma Willis Jamie East | Alice Levine Jamie East | Alice Levine Jamie East
row 7 : Big Brother 14 | AJ Odudu Rylan Clark | Emma Willis | Emma Willis | Emma Willis | AJ Odudu Rylan Clark | AJ Odudu Iain Lee | Rylan Clark
row 8 : Celebrity Big Brother 12 | Emma Willis | Emma Willis | Rylan Clark AJ Odudu | Emma Willis | AJ Odudu Rylan Clark | AJ Odudu Iain Lee | Rylan Clark [/Table] Answer this question based on the above table: Who was the presenter on Monday of "Big Brother 13" in which Alice Levine Jamie East presented on Sunday?

Answer: Emma Willis Jamie East
[Table] header: Name | Election Year | Party | Birth State | Resident State row 1 : James K. Polk | 1844 | Democrat | Lost North Carolina | Lost Tennessee
row 2 : Zachary Taylor | 1848 | Whig | Lost Virginia | Won Louisiana
row 3 : Abraham Lincoln | 1860 | Republican | Lost Kentucky | Won Illinois
row 4 : Abraham Lincoln | 1864 | Republican | Lost Kentucky | Won Illinois
row 5 : Woodrow Wilson | 1916 | Democratic | Won Virginia | Lost New Jersey
row 6 : Richard Nixon | 1968 | Republican | Won California | Lost New York
row 7 : George H. W. Bush | 1988 | Republican | Lost Massachusetts | Won Texas
row 8 : George W. Bush | 2000 | Republican | Lost Connecticut | Won Texas
row 9 : George W. Bush | 2004 | Republican | Lost Connecticut | Won Texas [/Table] Answer this question based on the above table: What state was the president who was elected earlier than 1848 born in?

Answer: Lost North Carolina
[Table] header: Name | Election Year | Party | Birth State | Resident State row 1 : James K. Polk | 1844 | Democrat | Lost North Carolina | Lost Tennessee
row 2 : Zachary Taylor | 1848 | Whig | Lost Virginia | Won Louisiana
row 3 : Abraham Lincoln | 1860 | Republican | Lost Kentucky | Won Illinois
row 4 : Abraham Lincoln | 1864 | Republican | Lost Kentucky | Won Illinois
row 5 : Woodrow Wilson | 1916 | Democratic | Won Virginia | Lost New Jersey
row 6 : Richard Nixon | 1968 | Republican | Won California | Lost New York
row 7 : George H. W. Bush | 1988 | Republican | Lost Massachusetts | Won Texas
row 8 : George W. Bush | 2000 | Republican | Lost Connecticut | Won Texas
row 9 : George W. Bush | 2004 | Republican | Lost Connecticut | Won Texas [/Table] Answer this question based on the above table: What is the resident state for the president elected in 1864?

Answer: Won Illinois
[Table] header: Name | Election Year | Party | Birth State | Resident State row 1 : James K. Polk | 1844 | Democrat | Lost North Carolina | Lost Tennessee
row 2 : Zachary Taylor | 1848 | Whig | Lost Virginia | Won Louisiana
row 3 : Abraham Lincoln | 1860 | Republican | Lost Kentucky | Won Illinois
row 4 : Abraham Lincoln | 1864 | Republican | Lost Kentucky | Won Illinois
row 5 : Woodrow Wilson | 1916 | Democratic | Won Virginia | Lost New Jersey
row 6 : Richard Nixon | 1968 | Republican | Won California | Lost New York
row 7 : George H. W. Bush | 1988 | Republican | Lost Massachusetts | Won Texas
row 8 : George W. Bush | 2000 | Republican | Lost Connecticut | Won Texas
row 9 : George W. Bush | 2004 | Republican | Lost Connecticut | Won Texas [/Table] Answer this question based on the above table: What is the election year of the president with a Birth State of lost connecticut?

Answer: 2002.0
[Table] header: Rider | Bike | Laps | Time | Grid row 1 : Noriyuki Haga | Yamaha YZF-R1 | 18 | 32:05.318 | 1
row 2 : James Toseland | Honda CBR1000RR | 18 | +2.691 | 5
row 3 : Troy Bayliss | Ducati 999 F07 | 18 | +2.841 | 2
row 4 : Roberto Rolfo | Honda CBR1000RR | 18 | +3.188 | 10
row 5 : Max Biaggi | Suzuki GSX-R1000 K7 | 18 | +3.551 | 3
row 6 : Troy Corser | Yamaha YZF-R1 | 18 | +13.034 | 4
row 7 : Yukio Kagayama | Suzuki GSX-R1000 K7 | 18 | +17.246 | 8
row 8 : Régis Laconi | Kawasaki ZX-10R | 18 | +18.410 | 7
row 9 : Karl Muggeridge | Honda CBR1000RR | 18 | +29.017 | 6
row 10 : Jakub Smrž | Ducati 999 F05 | 18 | +29.686 | 17
row 11 : Michel Fabrizio | Honda CBR1000RR | 18 | +30.371 | 9
row 12 : Max Neukirchner | Suzuki GSX-R1000 K6 | 18 | +31.982 | 14
row 13 : Ruben Xaus | Ducati 999 F06 | 18 | +32.165 | 15
row 14 : Robertino Pietri | Yamaha YZF-R1 | 18 | +1:32.292 | 23
row 15 : Dean Ellison | Ducati 999RS | 18 | +1:41.840 | 21
row 16 : Marco Borciani | Ducati 999 F06 | 15 | Retirement | 16
row 17 : Steve Martin | Honda CBR1000RR | 11 | Retirement | 18
row 18 : Josh Brookes | Honda CBR1000RR | 9 | Retirement | 11
row 19 : Mauro Sanchini | Kawasaki ZX-10R | 7 | Retirement | 19
row 20 : Alex Polita | Suzuki GSX-R1000 K6 | 5 | Retirement | 20
row 21 : Marek Svoboda | Yamaha YZF-R1 | 1 | Retirement | 24
row 22 : Fonsi Nieto | Kawasaki ZX-10R | 1 | Retirement | 13
row 23 : Lorenzo Lanzi | Ducati 999 F07 | 0 | Retirement | 12 [/Table] Answer this question based on the above table: What is the mean number of laps when the grid was 8?

Answer: 18.0
[Table] header: Rider | Bike | Laps | Time | Grid row 1 : Noriyuki Haga | Yamaha YZF-R1 | 18 | 32:05.318 | 1
row 2 : James Toseland | Honda CBR1000RR | 18 | +2.691 | 5
row 3 : Troy Bayliss | Ducati 999 F07 | 18 | +2.841 | 2
row 4 : Roberto Rolfo | Honda CBR1000RR | 18 | +3.188 | 10
row 5 : Max Biaggi | Suzuki GSX-R1000 K7 | 18 | +3.551 | 3
row 6 : Troy Corser | Yamaha YZF-R1 | 18 | +13.034 | 4
row 7 : Yukio Kagayama | Suzuki GSX-R1000 K7 | 18 | +17.246 | 8
row 8 : Régis Laconi | Kawasaki ZX-10R | 18 | +18.410 | 7
row 9 : Karl Muggeridge | Honda CBR1000RR | 18 | +29.017 | 6
row 10 : Jakub Smrž | Ducati 999 F05 | 18 | +29.686 | 17
row 11 : Michel Fabrizio | Honda CBR1000RR | 18 | +30.371 | 9
row 12 : Max Neukirchner | Suzuki GSX-R1000 K6 | 18 | +31.982 | 14
row 13 : Ruben Xaus | Ducati 999 F06 | 18 | +32.165 | 15
row 14 : Robertino Pietri | Yamaha YZF-R1 | 18 | +1:32.292 | 23
row 15 : Dean Ellison | Ducati 999RS | 18 | +1:41.840 | 21
row 16 : Marco Borciani | Ducati 999 F06 | 15 | Retirement | 16
row 17 : Steve Martin | Honda CBR1000RR | 11 | Retirement | 18
row 18 : Josh Brookes | Honda CBR1000RR | 9 | Retirement | 11
row 19 : Mauro Sanchini | Kawasaki ZX-10R | 7 | Retirement | 19
row 20 : Alex Polita | Suzuki GSX-R1000 K6 | 5 | Retirement | 20
row 21 : Marek Svoboda | Yamaha YZF-R1 | 1 | Retirement | 24
row 22 : Fonsi Nieto | Kawasaki ZX-10R | 1 | Retirement | 13
row 23 : Lorenzo Lanzi | Ducati 999 F07 | 0 | Retirement | 12 [/Table] Answer this question based on the above table: What is the largest lap number when the time was +31.982?

Answer: 18.0
[Table] header: Rider | Bike | Laps | Time | Grid row 1 : Noriyuki Haga | Yamaha YZF-R1 | 18 | 32:05.318 | 1
row 2 : James Toseland | Honda CBR1000RR | 18 | +2.691 | 5
row 3 : Troy Bayliss | Ducati 999 F07 | 18 | +2.841 | 2
row 4 : Roberto Rolfo | Honda CBR1000RR | 18 | +3.188 | 10
row 5 : Max Biaggi | Suzuki GSX-R1000 K7 | 18 | +3.551 | 3
row 6 : Troy Corser | Yamaha YZF-R1 | 18 | +13.034 | 4
row 7 : Yukio Kagayama | Suzuki GSX-R1000 K7 | 18 | +17.246 | 8
row 8 : Régis Laconi | Kawasaki ZX-10R | 18 | +18.410 | 7
row 9 : Karl Muggeridge | Honda CBR1000RR | 18 | +29.017 | 6
row 10 : Jakub Smrž | Ducati 999 F05 | 18 | +29.686 | 17
row 11 : Michel Fabrizio | Honda CBR1000RR | 18 | +30.371 | 9
row 12 : Max Neukirchner | Suzuki GSX-R1000 K6 | 18 | +31.982 | 14
row 13 : Ruben Xaus | Ducati 999 F06 | 18 | +32.165 | 15
row 14 : Robertino Pietri | Yamaha YZF-R1 | 18 | +1:32.292 | 23
row 15 : Dean Ellison | Ducati 999RS | 18 | +1:41.840 | 21
row 16 : Marco Borciani | Ducati 999 F06 | 15 | Retirement | 16
row 17 : Steve Martin | Honda CBR1000RR | 11 | Retirement | 18
row 18 : Josh Brookes | Honda CBR1000RR | 9 | Retirement | 11
row 19 : Mauro Sanchini | Kawasaki ZX-10R | 7 | Retirement | 19
row 20 : Alex Polita | Suzuki GSX-R1000 K6 | 5 | Retirement | 20
row 21 : Marek Svoboda | Yamaha YZF-R1 | 1 | Retirement | 24
row 22 : Fonsi Nieto | Kawasaki ZX-10R | 1 | Retirement | 13
row 23 : Lorenzo Lanzi | Ducati 999 F07 | 0 | Retirement | 12 [/Table] Answer this question based on the above table: What time was there when the bike was Ducati 999 F06 and the grid number was 15?

Answer: 32.165
[Table] header: Games played | Drawn* | Lost | Goals for | Goals against | Goals difference row 1 : 1 | 0 | 0 | 6 | 0 | +6
row 2 : 7 | 0 | 6 | 1 | 19 | –18
row 3 : 9 | 3 | 4 | 14 | 20 | –6
row 4 : 7 | 1 | 1 | 10 | 3 | +7
row 5 : 3 | 1 | 2 | 2 | 5 | –3
row 6 : 1 | 0 | 1 | 0 | 4 | –4
row 7 : 10 | 0 | 0 | 44 | 3 | +41
row 8 : 23 | 3 | 8 | 40 | 29 | +11
row 9 : 1 | 0 | 1 | 0 | 5 | –5
row 10 : 7 | 1 | 0 | 33 | 5 | +28
row 11 : 11 | 2 | 9 | 3 | 32 | –31
row 12 : 10 | 2 | 2 | 22 | 10 | +12
row 13 : 1 | 0 | 1 | 2 | 4 | –2
row 14 : 3 | 0 | 2 | 3 | 7 | –4
row 15 : 1 | 0 | 1 | 1 | 2 | –1
row 16 : 1 | 0 | 1 | 0 | 3 | –3
row 17 : 21 | 5 | 6 | 33 | 24 | +9
row 18 : 22 | 6 | 6 | 45 | 27 | +16
row 19 : 56 | 19 | 18 | 82 | 75 | +7
row 20 : 5 | 0 | 5 | 0 | 11 | –11
row 21 : 8 | 3 | 5 | 3 | 14 | –11
row 22 : 2 | 0 | 2 | 3 | 11 | –8
row 23 : 1 | 0 | 1 | 0 | 2 | –2
row 24 : 22 | 7 | 7 | 31 | 26 | +5
row 25 : 3 | 2 | 1 | 0 | 1 | –1
row 26 : 1 | 1 | 0 | 0 | 0 | 0
row 27 : 9 | 1 | 2 | 17 | 8 | +9
row 28 : 12 | 2 | 8 | 8 | 29 | –21
row 29 : 11 | 2 | 1 | 36 | 5 | +31
row 30 : 2 | 0 | 0 | 9 | 0 | +9
row 31 : 1 | 0 | 0 | 3 | 1 | +2
row 32 : 3 | 2 | 1 | 2 | 2 | 0
row 33 : 1 | 0 | 1 | 0 | 1 | –1
row 34 : 2 | 0 | 0 | 14 | 0 | +14
row 35 : 3 | 0 | 0 | 8 | 1 | +7
row 36 : 3 | 0 | 2 | 3 | 8 | –5
row 37 : 46 | 8 | 17 | 84 | 65 | +19
row 38 : 6 | 0 | 1 | 21 | 0 | +21
row 39 : 13 | 2 | 9 | 9 | 31 | –22
row 40 : 8 | 3 | 4 | 5 | 14 | –9
row 41 : 5 | 0 | 4 | 2 | 6 | –4
row 42 : 4 | 0 | 1 | 15 | 4 | +11
row 43 : 3 | 0 | 2 | 4 | 6 | –2
row 44 : 2 | 0 | 0 | 15 | 2 | +13
row 45 : 15 | 3 | 1 | 59 | 3 | +56
row 46 : 6 | 3 | 3 | 3 | 11 | –8
row 47 : 10 | 2 | 7 | 8 | 21 | –13
row 48 : 1 | 0 | 0 | 1 | 0 | +1
row 49 : 48 | 16 | 13 | 75 | 55 | +20
row 50 : 54 | 9 | 34 | 47 | 98 | –51
row 51 : 13 | 3 | 3 | 27 | 15 | +12
row 52 : 7 | 0 | 1 | 23 | 6 | +17
row 53 : 1 | 0 | 1 | 1 | 3 | –2
row 54 : 2 | 0 | 0 | 9 | 3 | +6
row 55 : 75 | 27 | 19 | 108 | 90 | +18
row 56 : 1 | 0 | 0 | 5 | 0 | +5
row 57 : 6 | 0 | 4 | 4 | 10 | –6
row 58 : 1 | 0 | 0 | 3 | 0 | +3
row 59 : 1 | 0 | 1 | 0 | 6 | –6
row 60 : 6 | 0 | 6 | 2 | 21 | –19
row 61 : 13 | 3 | 6 | 11 | 12 | –1
row 62 : 2 | 0 | 0 | 3 | 1 | +2 [/Table] Answer this question based on the above table: What is the total number of goals that Malaysia scored where they played more than 1 game, had more than 1 draw, lost fewer than 19 games, and had more than 3 goals scored against them?

Answer: 19.0
[Table] header: Year | English title | Korean title | Role | Network row 1 : 1993 | Three Families Under One Roof | 한지붕 세가족 | Yoo Ji-hee | MBC
row 2 : 1994 | The Last Match | 마지막 승부 | Jung Da-seul | MBC
row 3 : 1994 | MBC Best Theater "Little Thie | MBC 베스트극장 - 작은 도둑 | Lee Jung-eun | MBC
row 4 : 1994 | M | M | Park Ma-ri/Kim Joo | MBC
row 5 : 1994 | Shoal | 여울목 | Na Seung-ri | MBC
row 6 : 1995 | Hotel | 호텔 | movie actress ( cameo ) | MBC
row 7 : 1995 | Sook-hee | 숙희 | Kim Sook-hee | MBC
row 8 : 1996 | 1.5 Generation | 1.5 | Cha Hye-kyung | MBC
row 9 : 1996 | TV Literature " Between Heaven and Earth " | TV문학관 - 천지간 | woman | KBS1
row 10 : 1996 | Power of Love | 사랑한다면 | Kim Young-hee | MBC
row 11 : 1997 | Beautiful Lady | 아름다운 그녀 | Yoo Seon-young | SBS
row 12 : 1997 | SBS 70-Minute Drama "I Want | SBS 70분드라마 - 나는 원한다 | Hong Young-ki | SBS
row 13 : 1998 | White Nights 3.98 | 백야 3.98 | Anastasia Jang | SBS
row 14 : 1999 | Trap of Youth | 청춘의 덫 | Seo Yoon-hee | SBS [/Table] Answer this question based on the above table: What network is the Korean title of mbc 베스트극장 - 작은 도둑 on?

Answer: MBC
[Table] header: Outcome | Date | Tournament | Surface | Partner | Opponents in the final | Score in the final row 1 : Runners-up | April 29, 1985 | Houston , USA WTA Virginia Slims | Clay | Helena Suková | Elise Burgin Martina Navrati | 1–6, 6–3, 3–6
row 2 : Winners | July 22, 1985 | Indianapolis , USA WTA Virginia Slims | Clay | Katerina Maleeva | Penny Barg Paula Smith | 3–6, 6–3, 6–4
row 3 : Runners-up | September 8, 1986 | Tokyo , Japan WTA Virginia Slims | Carpet (I) | Katerina Maleeva | Bettina Bunge Steffi Graf | 1–6, 7–6 (9–7) 
row 4 : Winners | July 6, 1987 | Knokke , Belgium WTA Virginia Slim | Clay | Bettina Bunge | Kathleen Horvath Marcella Mesker | 4–6, 6–4, 6–4
row 5 : Runners-up | September 14, 1987 | Tokyo , Japan WTA Virginia Slims | Carpet (I) | Katerina Maleeva | Anne White Robin White | 1–6, 2–6
row 6 : Winners | February 11, 1991 | Linz , Austria WTA Tier V | Carpet (I) | Raffaella Reggi | Petra Langrová Radka Zrubá | 6–4, 1–6, 6–3
row 7 : Runners-up | May 20, 1991 | Geneva , Switzerland WTA Tier IV | Clay | Cathy Caverzasio | Nicole Bradtke Elizabeth Smylie | 1–6, 2–6
row 8 : Runners-up | February 9, 1993 | Osaka , Japan WTA Tier III | Carpet (I) | Magdalena Maleeva | Jana Novotná Laris | 1–6, 3–6
row 9 : Winners | April 5, 1993 | Amelia Island , USA WTA Tier II | Clay | Leila Meskhi | Amanda Coetzer Inés Gorrochategui | 3–6, 6–3, 6–4
row 10 : Runners-up | April 19, 1993 | Barcelona , Spain WTA Tier II | Clay | Magdalena Maleeva | Conchita Martínez Arantx | 6–4, 1–6, 0–6
row 11 : Runners-up | July 26, 1993 | Stratton Mountain , USA WTA | Hard | Mercedes Paz | Elizabeth Smylie Helena Suková | 1–6, 2–6 [/Table] Answer this question based on the above table: On what surface was the tournament with opponents kathleen horvath marcella mesker in the finals?

Answer: Clay
[Table] header: Outcome | Date | Tournament | Surface | Partner | Opponents in the final | Score in the final row 1 : Runners-up | April 29, 1985 | Houston , USA WTA Virginia Slims | Clay | Helena Suková | Elise Burgin Martina Navrati | 1–6, 6–3, 3–6
row 2 : Winners | July 22, 1985 | Indianapolis , USA WTA Virginia Slims | Clay | Katerina Maleeva | Penny Barg Paula Smith | 3–6, 6–3, 6–4
row 3 : Runners-up | September 8, 1986 | Tokyo , Japan WTA Virginia Slims | Carpet (I) | Katerina Maleeva | Bettina Bunge Steffi Graf | 1–6, 7–6 (9–7) 
row 4 : Winners | July 6, 1987 | Knokke , Belgium WTA Virginia Slim | Clay | Bettina Bunge | Kathleen Horvath Marcella Mesker | 4–6, 6–4, 6–4
row 5 : Runners-up | September 14, 1987 | Tokyo , Japan WTA Virginia Slims | Carpet (I) | Katerina Maleeva | Anne White Robin White | 1–6, 2–6
row 6 : Winners | February 11, 1991 | Linz , Austria WTA Tier V | Carpet (I) | Raffaella Reggi | Petra Langrová Radka Zrubá | 6–4, 1–6, 6–3
row 7 : Runners-up | May 20, 1991 | Geneva , Switzerland WTA Tier IV | Clay | Cathy Caverzasio | Nicole Bradtke Elizabeth Smylie | 1–6, 2–6
row 8 : Runners-up | February 9, 1993 | Osaka , Japan WTA Tier III | Carpet (I) | Magdalena Maleeva | Jana Novotná Laris | 1–6, 3–6
row 9 : Winners | April 5, 1993 | Amelia Island , USA WTA Tier II | Clay | Leila Meskhi | Amanda Coetzer Inés Gorrochategui | 3–6, 6–3, 6–4
row 10 : Runners-up | April 19, 1993 | Barcelona , Spain WTA Tier II | Clay | Magdalena Maleeva | Conchita Martínez Arantx | 6–4, 1–6, 0–6
row 11 : Runners-up | July 26, 1993 | Stratton Mountain , USA WTA | Hard | Mercedes Paz | Elizabeth Smylie Helena Suková | 1–6, 2–6 [/Table] Answer this question based on the above table: What is the date of the final that has a score of 3–6, 6–3, 6–4 and penny barg paula smith was the opponent?

Answer: July 22, 1985
[Table] header: Home team | Home team score | Away team | Away team score | Venue | Crowd | Date row 1 : Melbourne | 13.24 (102) | Richmond | 19.17 (131) | MCG | 22,272 | 30 April 1977
row 2 : Footscray | 17.14 (116) | St Kilda | 17.14 (116) | Western Oval | 15,453 | 30 April 1977
row 3 : Fitzroy | 12.14 (86) | Hawthorn | 21.16 (142) | Junction Oval | 10,428 | 30 April 1977
row 4 : Collingwood | 18.16 (124) | Geelong | 15.19 (109) | Victoria Park | 24,281 | 30 April 1977
row 5 : Carlton | 21.8 (134) | South Melbourne | 16.11 (107) | Princes Park | 21,533 | 30 April 1977
row 6 : North Melbourne | 18.17 (125) | Essendon | 15.15 (105) | VFL Park | 22,323 | 30 April 1977 [/Table] Answer this question based on the above table: How many people attended games at vfl park?

Answer: 22323.0
[Table] header: Home team | Home team score | Away team | Away team score | Venue | Crowd | Date row 1 : Melbourne | 13.24 (102) | Richmond | 19.17 (131) | MCG | 22,272 | 30 April 1977
row 2 : Footscray | 17.14 (116) | St Kilda | 17.14 (116) | Western Oval | 15,453 | 30 April 1977
row 3 : Fitzroy | 12.14 (86) | Hawthorn | 21.16 (142) | Junction Oval | 10,428 | 30 April 1977
row 4 : Collingwood | 18.16 (124) | Geelong | 15.19 (109) | Victoria Park | 24,281 | 30 April 1977
row 5 : Carlton | 21.8 (134) | South Melbourne | 16.11 (107) | Princes Park | 21,533 | 30 April 1977
row 6 : North Melbourne | 18.17 (125) | Essendon | 15.15 (105) | VFL Park | 22,323 | 30 April 1977 [/Table] Answer this question based on the above table: What is the away team's score when the Home team score is 17.14 (116)?

Answer: 17.14 (116)
[Table] header: Home team | Home team score | Away team | Away team score | Venue | Crowd | Date row 1 : Melbourne | 13.24 (102) | Richmond | 19.17 (131) | MCG | 22,272 | 30 April 1977
row 2 : Footscray | 17.14 (116) | St Kilda | 17.14 (116) | Western Oval | 15,453 | 30 April 1977
row 3 : Fitzroy | 12.14 (86) | Hawthorn | 21.16 (142) | Junction Oval | 10,428 | 30 April 1977
row 4 : Collingwood | 18.16 (124) | Geelong | 15.19 (109) | Victoria Park | 24,281 | 30 April 1977
row 5 : Carlton | 21.8 (134) | South Melbourne | 16.11 (107) | Princes Park | 21,533 | 30 April 1977
row 6 : North Melbourne | 18.17 (125) | Essendon | 15.15 (105) | VFL Park | 22,323 | 30 April 1977 [/Table] Answer this question based on the above table: Who is the home side when geelong is the away side?

Answer: Collingwood
[Table] header: Pick | Player | Country of origin* | PBA team | College row 1 : 1 | Willie Miller * | Philippines | Red Bull Thunder | Letran
row 2 : 2 | Mike Hrabak | United States | Shell Turbo Chargers | Central Arizona
row 3 : 3 | Mark Caguioa * | Philippines | Barangay Ginebra Kings | Glendale
row 4 : 4 | Gilbert Demape | Philippines | Mobiline Phone Pals | Cebu tech
row 5 : 5 | John Arigo # | United States | Alaska Aces | North Florida
row 6 : 6 | Francis Adriano | Philippines | Sta. Lucia Realtors | Far Eastern / PSBA
row 7 : 7 | Norman Gonzales | Philippines | Mobiline Phone Pals | San Beda
row 8 : 8 | Marvin Ortiguerra | Philippines | Sta. Lucia Realtors | Santo Tomas
row 9 : 9 | Roger Yap * | Philippines | Purefoods Tender Juicy Hotdogs | San Jose
row 10 : 10 | Joey Mente | Philippines | San Miguel Beermen | Lyceum [/Table] Answer this question based on the above table: Which Country of origin has a Pick larger than 1 and a College named Far Eastern / PSBA?

Answer: Philippines
[Table] header: Pick | Player | Country of origin* | PBA team | College row 1 : 1 | Willie Miller * | Philippines | Red Bull Thunder | Letran
row 2 : 2 | Mike Hrabak | United States | Shell Turbo Chargers | Central Arizona
row 3 : 3 | Mark Caguioa * | Philippines | Barangay Ginebra Kings | Glendale
row 4 : 4 | Gilbert Demape | Philippines | Mobiline Phone Pals | Cebu tech
row 5 : 5 | John Arigo # | United States | Alaska Aces | North Florida
row 6 : 6 | Francis Adriano | Philippines | Sta. Lucia Realtors | Far Eastern / PSBA
row 7 : 7 | Norman Gonzales | Philippines | Mobiline Phone Pals | San Beda
row 8 : 8 | Marvin Ortiguerra | Philippines | Sta. Lucia Realtors | Santo Tomas
row 9 : 9 | Roger Yap * | Philippines | Purefoods Tender Juicy Hotdogs | San Jose
row 10 : 10 | Joey Mente | Philippines | San Miguel Beermen | Lyceum [/Table] Answer this question based on the above table: Which Pick has the College named Far Eastern / PSBA?

Answer: 6.0
[Table] header: Home team | Home team score | Away team | Away team score | Venue | Crowd | Date row 1 : Melbourne | 9.10 (64) | Richmond | 14.12 (96) | MCG | 19,583 | 29 April 1933
row 2 : Collingwood | 14.15 (99) | Geelong | 12.17 (89) | Victoria Park | 15,500 | 29 April 1933
row 3 : Carlton | 12.15 (87) | South Melbourne | 11.17 (83) | Princes Park | 37,000 | 29 April 1933
row 4 : St Kilda | 10.17 (77) | Hawthorn | 11.13 (79) | Junction Oval | 14,000 | 29 April 1933
row 5 : North Melbourne | 11.13 (79) | Fitzroy | 11.13 (79) | Arden Street Oval | 12,000 | 29 April 1933
row 6 : Footscray | 11.11 (77) | Essendon | 10.11 (71) | Western Oval | 19,000 | 29 April 1933 [/Table] Answer this question based on the above table: When did Hawthorn play as the away team?

Answer: 29 April 1933
[Table] header: Home team | Home team score | Away team | Away team score | Venue | Crowd | Date row 1 : Melbourne | 9.10 (64) | Richmond | 14.12 (96) | MCG | 19,583 | 29 April 1933
row 2 : Collingwood | 14.15 (99) | Geelong | 12.17 (89) | Victoria Park | 15,500 | 29 April 1933
row 3 : Carlton | 12.15 (87) | South Melbourne | 11.17 (83) | Princes Park | 37,000 | 29 April 1933
row 4 : St Kilda | 10.17 (77) | Hawthorn | 11.13 (79) | Junction Oval | 14,000 | 29 April 1933
row 5 : North Melbourne | 11.13 (79) | Fitzroy | 11.13 (79) | Arden Street Oval | 12,000 | 29 April 1933
row 6 : Footscray | 11.11 (77) | Essendon | 10.11 (71) | Western Oval | 19,000 | 29 April 1933 [/Table] Answer this question based on the above table: Which team played Footscray?

Answer: Essendon
[Table] header: Home team | Home team score | Away team | Away team score | Venue | Crowd | Date row 1 : Melbourne | 9.10 (64) | Richmond | 14.12 (96) | MCG | 19,583 | 29 April 1933
row 2 : Collingwood | 14.15 (99) | Geelong | 12.17 (89) | Victoria Park | 15,500 | 29 April 1933
row 3 : Carlton | 12.15 (87) | South Melbourne | 11.17 (83) | Princes Park | 37,000 | 29 April 1933
row 4 : St Kilda | 10.17 (77) | Hawthorn | 11.13 (79) | Junction Oval | 14,000 | 29 April 1933
row 5 : North Melbourne | 11.13 (79) | Fitzroy | 11.13 (79) | Arden Street Oval | 12,000 | 29 April 1933
row 6 : Footscray | 11.11 (77) | Essendon | 10.11 (71) | Western Oval | 19,000 | 29 April 1933 [/Table] Answer this question based on the above table: How many were in the crowd when North Melbourne was the home team?

Answer: 12000.0
[Table] header: Home team | Home team score | Away team | Away team score | Venue | Crowd | Date row 1 : Hawthorn | 15.16 (106) | Richmond | 16.15 (111) | Princes Park | 21,028 | 29 March 1980
row 2 : Geelong | 12.13 (85) | South Melbourne | 13.10 (88) | Kardinia Park | 22,685 | 29 March 1980
row 3 : Essendon | 12.15 (87) | North Melbourne | 15.10 (100) | Windy Hill | 28,811 | 29 March 1980
row 4 : Footscray | 17.11 (113) | Fitzroy | 18.17 (125) | Western Oval | 20,060 | 29 March 1980
row 5 : Collingwood | 13.16 (94) | Carlton | 19.18 (132) | Victoria Park | 29,587 | 29 March 1980
row 6 : Melbourne | 18.14 (122) | St Kilda | 14.16 (100) | VFL Park | 31,859 | 29 March 1980 [/Table] Answer this question based on the above table: Tell me the home team score for essendon

Answer: 12.15 (87)
[Table] header: Home team | Home team score | Away team | Away team score | Venue | Crowd | Date row 1 : Geelong | 12.15 (87) | Richmond | 8.12 (60) | Corio Oval | 18,250 | 13 June 1931
row 2 : Footscray | 13.8 (86) | North Melbourne | 5.13 (43) | Western Oval | 11,000 | 13 June 1931
row 3 : Fitzroy | 14.14 (98) | South Melbourne | 16.15 (111) | Brunswick Street Oval | 12,000 | 13 June 1931
row 4 : Essendon | 8.12 (60) | Hawthorn | 12.8 (80) | Windy Hill | 10,000 | 13 June 1931
row 5 : Melbourne | 7.12 (54) | Collingwood | 10.11 (71) | MCG | 26,436 | 13 June 1931
row 6 : St Kilda | 8.11 (59) | Carlton | 12.18 (90) | Junction Oval | 24,000 | 13 June 1931 [/Table] Answer this question based on the above table: What did the home team score when the away team scored 12.8 (80)?

Answer: 8.12 (60)
[Table] header: Rank | Movie | Year | Studio(s) | Opening Weekend Net Gross row 1 : 1 | Chennai Express | 2013 | Red Chillies Entertainment | 100,42,00,000
row 2 : 2 | Yeh Jawaani Hai Deewani | 2013 | Dharma Productions | 63,00,00,000
row 3 : 3 | Dabangg 2 | 2012 | Arbaaz Khan Productions | 62,00,00,000
row 4 : 4 | Ek Tha Tiger | 2012 | Yash Raj Films | 57,85,00,000
row 5 : 5 | Ra.One | 2011 | Red Chillies Entertainment | 52,93,00,000
row 6 : 6 | Bodyguard | 2011 | Reliance Entertainment | 52,62,00,000
row 7 : 7 | Dabangg | 2012 | Arbaaz Khan Productions | 48,82,00,000
row 8 : 8 | Rowdy Rathore | 2012 | UTV Motion Pictures | 47,50,00,000
row 9 : 9 | Don 2 | 2011 | Excel Entertainment | 46,33,00,000
row 10 : 10 | Agneepath | 2012 | Dharma Productions | 45,66,00,000 [/Table] Answer this question based on the above table: What's the Total number of Opening Weekend Net Gross that occured after the year 2012 with a Rank of 1?

Answer: 1.0
[Table] header: Rank | Movie | Year | Studio(s) | Opening Weekend Net Gross row 1 : 1 | Chennai Express | 2013 | Red Chillies Entertainment | 100,42,00,000
row 2 : 2 | Yeh Jawaani Hai Deewani | 2013 | Dharma Productions | 63,00,00,000
row 3 : 3 | Dabangg 2 | 2012 | Arbaaz Khan Productions | 62,00,00,000
row 4 : 4 | Ek Tha Tiger | 2012 | Yash Raj Films | 57,85,00,000
row 5 : 5 | Ra.One | 2011 | Red Chillies Entertainment | 52,93,00,000
row 6 : 6 | Bodyguard | 2011 | Reliance Entertainment | 52,62,00,000
row 7 : 7 | Dabangg | 2012 | Arbaaz Khan Productions | 48,82,00,000
row 8 : 8 | Rowdy Rathore | 2012 | UTV Motion Pictures | 47,50,00,000
row 9 : 9 | Don 2 | 2011 | Excel Entertainment | 46,33,00,000
row 10 : 10 | Agneepath | 2012 | Dharma Productions | 45,66,00,000 [/Table] Answer this question based on the above table: Which Studio has the Year of 2012 listed and the Movie, Dabangg?

Answer: Arbaaz Khan Productions
[Table] header: Rank | Movie | Year | Studio(s) | Opening Weekend Net Gross row 1 : 1 | Chennai Express | 2013 | Red Chillies Entertainment | 100,42,00,000
row 2 : 2 | Yeh Jawaani Hai Deewani | 2013 | Dharma Productions | 63,00,00,000
row 3 : 3 | Dabangg 2 | 2012 | Arbaaz Khan Productions | 62,00,00,000
row 4 : 4 | Ek Tha Tiger | 2012 | Yash Raj Films | 57,85,00,000
row 5 : 5 | Ra.One | 2011 | Red Chillies Entertainment | 52,93,00,000
row 6 : 6 | Bodyguard | 2011 | Reliance Entertainment | 52,62,00,000
row 7 : 7 | Dabangg | 2012 | Arbaaz Khan Productions | 48,82,00,000
row 8 : 8 | Rowdy Rathore | 2012 | UTV Motion Pictures | 47,50,00,000
row 9 : 9 | Don 2 | 2011 | Excel Entertainment | 46,33,00,000
row 10 : 10 | Agneepath | 2012 | Dharma Productions | 45,66,00,000 [/Table] Answer this question based on the above table: What's the sum of Opening Weekend Net Gross at the Studio of UTV Motion Pictures?

Answer: 475000000.0
[Table] header: Rank | Movie | Year | Studio(s) | Opening Weekend Net Gross row 1 : 1 | Chennai Express | 2013 | Red Chillies Entertainment | 100,42,00,000
row 2 : 2 | Yeh Jawaani Hai Deewani | 2013 | Dharma Productions | 63,00,00,000
row 3 : 3 | Dabangg 2 | 2012 | Arbaaz Khan Productions | 62,00,00,000
row 4 : 4 | Ek Tha Tiger | 2012 | Yash Raj Films | 57,85,00,000
row 5 : 5 | Ra.One | 2011 | Red Chillies Entertainment | 52,93,00,000
row 6 : 6 | Bodyguard | 2011 | Reliance Entertainment | 52,62,00,000
row 7 : 7 | Dabangg | 2012 | Arbaaz Khan Productions | 48,82,00,000
row 8 : 8 | Rowdy Rathore | 2012 | UTV Motion Pictures | 47,50,00,000
row 9 : 9 | Don 2 | 2011 | Excel Entertainment | 46,33,00,000
row 10 : 10 | Agneepath | 2012 | Dharma Productions | 45,66,00,000 [/Table] Answer this question based on the above table: What's the total number of years with a Rank that smaller than 7, Studio of Red Chillies Entertainment, and Opening Weekend Net Gross of 52,93,00,000?

Answer: 1.0
[Table] header: State | Interview | Swimsuit | Evening Gown | Average row 1 : Kansas | 9.357 | 9.084 | 9.450 | 9.297
row 2 : New Jersey | 9.464 | 8.896 | 9.243 | 9.201
row 3 : California | 9.284 | 8.943 | 9.436 | 9.221
row 4 : North Carolina | 9.214 | 8.829 | 9.257 | 9.100
row 5 : Oklahoma | 9.241 | 8.830 | 9.214 | 9.095
row 6 : Illinois | 9.271 | 8.733 | 9.243 | 9.082
row 7 : New York | 9.150 | 8.586 | 9.433 | 9.056
row 8 : Alabama | 9.121 | 8.800 | 9.236 | 9.052
row 9 : Hawaii | 8.929 | 8.874 | 9.314 | 9.039
row 10 : Arizona | 8.808 | 8.714 | 9.243 | 8.921
row 11 : Oregon | 8.686 | 8.900 | 9.143 | 8.909 [/Table] Answer this question based on the above table: What is the number for evening gown in kansas with less than 9.357 interviews?

Answer: none
[Table] header: State | Interview | Swimsuit | Evening Gown | Average row 1 : Kansas | 9.357 | 9.084 | 9.450 | 9.297
row 2 : New Jersey | 9.464 | 8.896 | 9.243 | 9.201
row 3 : California | 9.284 | 8.943 | 9.436 | 9.221
row 4 : North Carolina | 9.214 | 8.829 | 9.257 | 9.100
row 5 : Oklahoma | 9.241 | 8.830 | 9.214 | 9.095
row 6 : Illinois | 9.271 | 8.733 | 9.243 | 9.082
row 7 : New York | 9.150 | 8.586 | 9.433 | 9.056
row 8 : Alabama | 9.121 | 8.800 | 9.236 | 9.052
row 9 : Hawaii | 8.929 | 8.874 | 9.314 | 9.039
row 10 : Arizona | 8.808 | 8.714 | 9.243 | 8.921
row 11 : Oregon | 8.686 | 8.900 | 9.143 | 8.909 [/Table] Answer this question based on the above table: What state had less than 8.874 for swimsuit, less than 9.257 for evening gown, and less than 9.121 for interview?

Answer: Arizona
[Table] header: State | Interview | Swimsuit | Evening Gown | Average row 1 : Kansas | 9.357 | 9.084 | 9.450 | 9.297
row 2 : New Jersey | 9.464 | 8.896 | 9.243 | 9.201
row 3 : California | 9.284 | 8.943 | 9.436 | 9.221
row 4 : North Carolina | 9.214 | 8.829 | 9.257 | 9.100
row 5 : Oklahoma | 9.241 | 8.830 | 9.214 | 9.095
row 6 : Illinois | 9.271 | 8.733 | 9.243 | 9.082
row 7 : New York | 9.150 | 8.586 | 9.433 | 9.056
row 8 : Alabama | 9.121 | 8.800 | 9.236 | 9.052
row 9 : Hawaii | 8.929 | 8.874 | 9.314 | 9.039
row 10 : Arizona | 8.808 | 8.714 | 9.243 | 8.921
row 11 : Oregon | 8.686 | 8.900 | 9.143 | 8.909 [/Table] Answer this question based on the above table: What is the number for swimsuit when the interview number is less than 8.808?

Answer: 8.9
[Table] header: State | Interview | Swimsuit | Evening Gown | Average row 1 : Kansas | 9.357 | 9.084 | 9.450 | 9.297
row 2 : New Jersey | 9.464 | 8.896 | 9.243 | 9.201
row 3 : California | 9.284 | 8.943 | 9.436 | 9.221
row 4 : North Carolina | 9.214 | 8.829 | 9.257 | 9.100
row 5 : Oklahoma | 9.241 | 8.830 | 9.214 | 9.095
row 6 : Illinois | 9.271 | 8.733 | 9.243 | 9.082
row 7 : New York | 9.150 | 8.586 | 9.433 | 9.056
row 8 : Alabama | 9.121 | 8.800 | 9.236 | 9.052
row 9 : Hawaii | 8.929 | 8.874 | 9.314 | 9.039
row 10 : Arizona | 8.808 | 8.714 | 9.243 | 8.921
row 11 : Oregon | 8.686 | 8.900 | 9.143 | 8.909 [/Table] Answer this question based on the above table: What is the number for swimsuit when the evening gown number is larger than 9.257 and the interview number is 9.357?

Answer: 9.084
[Table] header: State | Interview | Swimsuit | Evening Gown | Average row 1 : Kansas | 9.357 | 9.084 | 9.450 | 9.297
row 2 : New Jersey | 9.464 | 8.896 | 9.243 | 9.201
row 3 : California | 9.284 | 8.943 | 9.436 | 9.221
row 4 : North Carolina | 9.214 | 8.829 | 9.257 | 9.100
row 5 : Oklahoma | 9.241 | 8.830 | 9.214 | 9.095
row 6 : Illinois | 9.271 | 8.733 | 9.243 | 9.082
row 7 : New York | 9.150 | 8.586 | 9.433 | 9.056
row 8 : Alabama | 9.121 | 8.800 | 9.236 | 9.052
row 9 : Hawaii | 8.929 | 8.874 | 9.314 | 9.039
row 10 : Arizona | 8.808 | 8.714 | 9.243 | 8.921
row 11 : Oregon | 8.686 | 8.900 | 9.143 | 8.909 [/Table] Answer this question based on the above table: What is the highest evening gown number in North Carolina with less than 9.214 interviews?

Answer: none
[Table] header: Year | Athlete | Country/State | Time | Location row 1 : 2007 | Henning, Rasmus Rasmus Henning | Denmark | 1:50:04 | Des Moines
row 2 : 2008 | Henning, Rasmus Rasmus Henning (2) | Denmark | 1:54:21 | West Des Moines
row 3 : 2009 | Whitfield, Simon Simon Whitfield | Canada | 1:49:43 | West Des Moines
row 4 : 2010 | Don, Tim Tim Don | United Kingdom | 1:50:20 | West Des Moines
row 5 : 2011 | Bennett, Greg Greg Bennett | Australia | 1:47:37 | Des Moines
row 6 : 2012 | Gómez, Javier Javier G | Spain | 1:51:21 | Des Moines
row 7 : 2013 | Gómez, Javier Javier G | Spain | 1:45:57 | Des Moines [/Table] Answer this question based on the above table: At what location was the time 1:54:21?

Answer: West Des Moines
[Table] header: Year | Athlete | Country/State | Time | Location row 1 : 2007 | Henning, Rasmus Rasmus Henning | Denmark | 1:50:04 | Des Moines
row 2 : 2008 | Henning, Rasmus Rasmus Henning (2) | Denmark | 1:54:21 | West Des Moines
row 3 : 2009 | Whitfield, Simon Simon Whitfield | Canada | 1:49:43 | West Des Moines
row 4 : 2010 | Don, Tim Tim Don | United Kingdom | 1:50:20 | West Des Moines
row 5 : 2011 | Bennett, Greg Greg Bennett | Australia | 1:47:37 | Des Moines
row 6 : 2012 | Gómez, Javier Javier G | Spain | 1:51:21 | Des Moines
row 7 : 2013 | Gómez, Javier Javier G | Spain | 1:45:57 | Des Moines [/Table] Answer this question based on the above table: Which Athlete is from the United Kingdom?

Answer: Don, Tim Tim Don
[Table] header: Year | Athlete | Country/State | Time | Location row 1 : 2007 | Henning, Rasmus Rasmus Henning | Denmark | 1:50:04 | Des Moines
row 2 : 2008 | Henning, Rasmus Rasmus Henning (2) | Denmark | 1:54:21 | West Des Moines
row 3 : 2009 | Whitfield, Simon Simon Whitfield | Canada | 1:49:43 | West Des Moines
row 4 : 2010 | Don, Tim Tim Don | United Kingdom | 1:50:20 | West Des Moines
row 5 : 2011 | Bennett, Greg Greg Bennett | Australia | 1:47:37 | Des Moines
row 6 : 2012 | Gómez, Javier Javier G | Spain | 1:51:21 | Des Moines
row 7 : 2013 | Gómez, Javier Javier G | Spain | 1:45:57 | Des Moines [/Table] Answer this question based on the above table: Which country had des moines as the location in 2011?

Answer: Australia
[Table] header: Year | Athlete | Country/State | Time | Location row 1 : 2007 | Henning, Rasmus Rasmus Henning | Denmark | 1:50:04 | Des Moines
row 2 : 2008 | Henning, Rasmus Rasmus Henning (2) | Denmark | 1:54:21 | West Des Moines
row 3 : 2009 | Whitfield, Simon Simon Whitfield | Canada | 1:49:43 | West Des Moines
row 4 : 2010 | Don, Tim Tim Don | United Kingdom | 1:50:20 | West Des Moines
row 5 : 2011 | Bennett, Greg Greg Bennett | Australia | 1:47:37 | Des Moines
row 6 : 2012 | Gómez, Javier Javier G | Spain | 1:51:21 | Des Moines
row 7 : 2013 | Gómez, Javier Javier G | Spain | 1:45:57 | Des Moines [/Table] Answer this question based on the above table: What was the time for 2009?

Answer: 1:49:43
[Table] header: Date | Opponent | Score | Loss | Attendance | Record row 1 : June 1 | @ Pirates | 2–0 | Wagner (4–5) | 15,633 | 26–25
row 2 : June 2 | @ Pirates | 5–2 | Holmes (1–1) | 26,745 | 26–26
row 3 : June 3 | @ Pirates | 7–2 | Farmer (0–1) | 8,120 | 26–27
row 4 : June 4 | @ Astros | 16–8 | Thompson (3–5) | 18,418 | 26–28
row 5 : June 5 | @ Astros | 4–1 | Reynoso (3–5) | 14,954 | 26–29
row 6 : June 6 | @ Astros | 14–7 | Drabek (2–5) | 22,112 | 27–29
row 7 : June 7 | Braves | 19–8 | Bielecki (0–2) | 48,027 | 28–29
row 8 : June 8 | Braves | 13–12 | McMichael (3–1) | 48,015 | 29–29
row 9 : June 9 | Braves | 8–3 | Thompson (3–6) | 48,036 | 29–30
row 10 : June 10 | Astros | 10–9 | Reynoso (3–6) | 48,007 | 29–31
row 11 : June 11 | Astros | 7–5 | Young (2–3) | 48,014 | 30–31
row 12 : June 12 | Astros | 8–0 | Reynolds (8–4) | 48,024 | 31–31
row 13 : June 13 | Phillies | 4–1 | Schilling (2–1) | 48,018 | 32–31
row 14 : June 14 | Phillies | 10–6 | Springer (1–6) | 48,006 | 33–31
row 15 : June 15 | Phillies | 4–2 | Mulholland (5–6) | 48,023 | 34–31
row 16 : June 16 | Phillies | 11–3 | Muñoz (0–2) | 48,041 | 35–31
row 17 : June 17 | Expos | 5–3 | Freeman (4–4) | 48,021 | 35–32
row 18 : June 18 | Expos | 12–8 | Holmes (2–2) | 50,025 | 35–33
row 19 : June 19 | Expos | 7–6 (10) | Scott (2–2) | 48,007 | 36–33
row 20 : June 21 | @ Phillies | 4–3 (10) | Ruffin (2–2) | 25,085 | 36–34
row 21 : June 22 | @ Phillies | 5–4 | Hawblitzel (0–1) | 28,604 | 36–35
row 22 : June 23 | @ Phillies | 7–4 | Fernandez (3–6) | 33,385 | 37–35
row 23 : June 24 | @ Mets | 2–1 | Holmes (2–3) | 16,988 | 37–36
row 24 : June 25 | @ Mets | 3–2 | Thompson (3–7) | 18,251 | 37–37
row 25 : June 26 | @ Mets | 9–5 | Reed (1–2) | 20,675 | 37–38
row 26 : June 27 | Dodgers | 13–1 | Astacio (3–6) | 48,043 | 38–38
row 27 : June 28 | Dodgers | 13–4 | Martínez (6–2) | 48,025 | 39–38
row 28 : June 29 | Dodgers | 13–10 | Rekar (2–3) | 48,009 | 39–39
row 29 : June 30 | Dodgers | 16–15 | Worrell (3–4) | 48,103 | 40–39 [/Table] Answer this question based on the above table: Who was the opponent on June 29?

Answer: Dodgers
[Table] header: Tournament | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | Career Win–Loss row 1 : Australian Open | LQ | 1R | 2R | 1R | LQ | A | 1–3
row 2 : French Open | LQ | LQ | A | 2R | 2R | LQ | 2–3
row 3 : Wimbledon | 1R | LQ | 2R | 1R | LQ | LQ | 1–4
row 4 : US Open | 1R | A | 1R | A | LQ | 2R | 1–3
row 5 : Win–Loss | 0–2 | 0–1 | 2–3 | 1–3 | 0–0 | 1–1 | 5–13 [/Table] Answer this question based on the above table: What was the 2010 result for a 2008 result of LQ and 2011 result of 2R?

Answer: 2R
[Table] header: Tournament | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | Career Win–Loss row 1 : Australian Open | LQ | 1R | 2R | 1R | LQ | A | 1–3
row 2 : French Open | LQ | LQ | A | 2R | 2R | LQ | 2–3
row 3 : Wimbledon | 1R | LQ | 2R | 1R | LQ | LQ | 1–4
row 4 : US Open | 1R | A | 1R | A | LQ | 2R | 1–3
row 5 : Win–Loss | 0–2 | 0–1 | 2–3 | 1–3 | 0–0 | 1–1 | 5–13 [/Table] Answer this question based on the above table: What was the 2007 result for a 2008 result of 1R and 2009 result of 2R?

Answer: LQ
[Table] header: Tournament | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | Career Win–Loss row 1 : Australian Open | LQ | 1R | 2R | 1R | LQ | A | 1–3
row 2 : French Open | LQ | LQ | A | 2R | 2R | LQ | 2–3
row 3 : Wimbledon | 1R | LQ | 2R | 1R | LQ | LQ | 1–4
row 4 : US Open | 1R | A | 1R | A | LQ | 2R | 1–3
row 5 : Win–Loss | 0–2 | 0–1 | 2–3 | 1–3 | 0–0 | 1–1 | 5–13 [/Table] Answer this question based on the above table: Which tournament had a 2010 result of A?

Answer: US Open
[Table] header: Pick | Player | Team | Position | School row 1 : 1 | Matt Bush | San Diego Padres | SS | Mission Bay High School
row 2 : 2 | Justin Verlander | Detroit Tigers | RHP | Old Dominion
row 3 : 3 | Philip Humber | New York Mets | RHP | Rice University
row 4 : 4 | Jeff Niemann | Tampa Bay Devil Rays | RHP | Rice University
row 5 : 5 | Mark Rogers | Milwaukee Brewers | RHP | Mount Ararat High School (ME)
row 6 : 6 | Jeremy Sowers | Cleveland Indians | LHP | Vanderbilt University
row 7 : 7 | Homer Bailey | Cincinnati Reds | RHP | La Grange High School
row 8 : 8 | Wade Townsend | Baltimore Orioles | RHP | Rice University
row 9 : 9 | Chris Nelson | Colorado Rockies | SS | Redan High School
row 10 : 10 | Thomas Diamond | Texas Rangers | RHP | University of New Orleans
row 11 : 11 | Neil Walker | Pittsburgh Pirates | C | Pine-Richland High School
row 12 : 12 | Jered Weaver | Anaheim Angels | RHP | Long Beach State University
row 13 : 13 | Bill Bray | Montreal Expos | LHP | The College of William & Mary
row 14 : 14 | Billy Butler | Kansas City Royals | 3B | Samuel W. Wolfson High School (FL)
row 15 : 15 | Stephen Drew | Arizona Diamondbacks | SS | Florida State University
row 16 : 16 | David Purcey | Toronto Blue Jays | LHP | University of Oklahoma
row 17 : 17 | Scott Elbert | Los Angeles Dodgers | LHP | Seneca High School (MO)
row 18 : 18 | Josh Fields | Chicago White Sox | 3B | Oklahoma State University
row 19 : 19 | Chris Lambert | St. Louis Cardinals | RHP | Boston College
row 20 : 20 | Trevor Plouffe | Minnesota Twins | SS | Crespi Carmelite High School
row 21 : 21 | Greg Golson | Philadelphia Phillies | CF | Connally High School (TX)
row 22 : 22 | Glen Perkins | Minnesota Twins | LHP | University of Minnesota
row 23 : 23 | Phil Hughes | New York Yankees | RHP | Foothill High School
row 24 : 24 | Landon Powell | Oakland Athletics | C | University of South Carolina
row 25 : 25 | Kyle Waldrop | Minnesota Twins | RHP | Farragut High School
row 26 : 26 | Richie Robnett | Oakland Athletics | CF | Fresno State University
row 27 : 27 | Taylor Tankersley | Florida Marlins | LHP | University of Alabama
row 28 : 28 | Blake DeWitt | Los Angeles Dodgers | 2B | Sikeston High School (MO)
row 29 : 29 | Matthew Campbell | Kansas City Royals | LHP | University of South Carolina
row 30 : 30 | Eric Hurley | Texas Rangers | RHP | Samuel W. Wolfson High School (FL) [/Table] Answer this question based on the above table: Which pick was Bill Bray?

Answer: 13.0
[Table] header: Pick | Player | Team | Position | School row 1 : 1 | Matt Bush | San Diego Padres | SS | Mission Bay High School
row 2 : 2 | Justin Verlander | Detroit Tigers | RHP | Old Dominion
row 3 : 3 | Philip Humber | New York Mets | RHP | Rice University
row 4 : 4 | Jeff Niemann | Tampa Bay Devil Rays | RHP | Rice University
row 5 : 5 | Mark Rogers | Milwaukee Brewers | RHP | Mount Ararat High School (ME)
row 6 : 6 | Jeremy Sowers | Cleveland Indians | LHP | Vanderbilt University
row 7 : 7 | Homer Bailey | Cincinnati Reds | RHP | La Grange High School
row 8 : 8 | Wade Townsend | Baltimore Orioles | RHP | Rice University
row 9 : 9 | Chris Nelson | Colorado Rockies | SS | Redan High School
row 10 : 10 | Thomas Diamond | Texas Rangers | RHP | University of New Orleans
row 11 : 11 | Neil Walker | Pittsburgh Pirates | C | Pine-Richland High School
row 12 : 12 | Jered Weaver | Anaheim Angels | RHP | Long Beach State University
row 13 : 13 | Bill Bray | Montreal Expos | LHP | The College of William & Mary
row 14 : 14 | Billy Butler | Kansas City Royals | 3B | Samuel W. Wolfson High School (FL)
row 15 : 15 | Stephen Drew | Arizona Diamondbacks | SS | Florida State University
row 16 : 16 | David Purcey | Toronto Blue Jays | LHP | University of Oklahoma
row 17 : 17 | Scott Elbert | Los Angeles Dodgers | LHP | Seneca High School (MO)
row 18 : 18 | Josh Fields | Chicago White Sox | 3B | Oklahoma State University
row 19 : 19 | Chris Lambert | St. Louis Cardinals | RHP | Boston College
row 20 : 20 | Trevor Plouffe | Minnesota Twins | SS | Crespi Carmelite High School
row 21 : 21 | Greg Golson | Philadelphia Phillies | CF | Connally High School (TX)
row 22 : 22 | Glen Perkins | Minnesota Twins | LHP | University of Minnesota
row 23 : 23 | Phil Hughes | New York Yankees | RHP | Foothill High School
row 24 : 24 | Landon Powell | Oakland Athletics | C | University of South Carolina
row 25 : 25 | Kyle Waldrop | Minnesota Twins | RHP | Farragut High School
row 26 : 26 | Richie Robnett | Oakland Athletics | CF | Fresno State University
row 27 : 27 | Taylor Tankersley | Florida Marlins | LHP | University of Alabama
row 28 : 28 | Blake DeWitt | Los Angeles Dodgers | 2B | Sikeston High School (MO)
row 29 : 29 | Matthew Campbell | Kansas City Royals | LHP | University of South Carolina
row 30 : 30 | Eric Hurley | Texas Rangers | RHP | Samuel W. Wolfson High School (FL) [/Table] Answer this question based on the above table: From which school did the Minnesota Twins SS come from?

Answer: Crespi Carmelite High School
[Table] header: Home team | Home team score | Away team | Away team score | Venue | Crowd | Date row 1 : Geelong | 8.9 (57) | South Melbourne | 1.9 (15) | Kardinia Park | 16,436 | 8 August 1964
row 2 : Footscray | 10.8 (68) | North Melbourne | 4.3 (27) | Western Oval | 13,366 | 8 August 1964
row 3 : Fitzroy | 9.10 (64) | Hawthorn | 10.13 (73) | Brunswick Street Oval | 7,322 | 8 August 1964
row 4 : Carlton | 11.13 (79) | Collingwood | 12.7 (79) | Princes Park | 25,875 | 8 August 1964
row 5 : St Kilda | 10.12 (72) | Richmond | 6.11 (47) | Junction Oval | 16,700 | 8 August 1964
row 6 : Melbourne | 7.6 (48) | Essendon | 6.14 (50) | MCG | 70,385 | 8 August 1964 [/Table] Answer this question based on the above table: When playing at the Kardinia Park; what was the home teams score?

Answer: 8.9 (57)
[Table] header: Home team | Home team score | Away team | Away team score | Venue | Crowd | Date row 1 : Geelong | 8.9 (57) | South Melbourne | 1.9 (15) | Kardinia Park | 16,436 | 8 August 1964
row 2 : Footscray | 10.8 (68) | North Melbourne | 4.3 (27) | Western Oval | 13,366 | 8 August 1964
row 3 : Fitzroy | 9.10 (64) | Hawthorn | 10.13 (73) | Brunswick Street Oval | 7,322 | 8 August 1964
row 4 : Carlton | 11.13 (79) | Collingwood | 12.7 (79) | Princes Park | 25,875 | 8 August 1964
row 5 : St Kilda | 10.12 (72) | Richmond | 6.11 (47) | Junction Oval | 16,700 | 8 August 1964
row 6 : Melbourne | 7.6 (48) | Essendon | 6.14 (50) | MCG | 70,385 | 8 August 1964 [/Table] Answer this question based on the above table: When Essendon played away; where did they play?

Answer: MCG
[Table] header: Home team | Home team score | Away team | Away team score | Venue | Crowd | Date row 1 : Geelong | 8.9 (57) | South Melbourne | 1.9 (15) | Kardinia Park | 16,436 | 8 August 1964
row 2 : Footscray | 10.8 (68) | North Melbourne | 4.3 (27) | Western Oval | 13,366 | 8 August 1964
row 3 : Fitzroy | 9.10 (64) | Hawthorn | 10.13 (73) | Brunswick Street Oval | 7,322 | 8 August 1964
row 4 : Carlton | 11.13 (79) | Collingwood | 12.7 (79) | Princes Park | 25,875 | 8 August 1964
row 5 : St Kilda | 10.12 (72) | Richmond | 6.11 (47) | Junction Oval | 16,700 | 8 August 1964
row 6 : Melbourne | 7.6 (48) | Essendon | 6.14 (50) | MCG | 70,385 | 8 August 1964 [/Table] Answer this question based on the above table: What date did the home team score 9.10 (64)?

Answer: 8 August 1964
[Table] header: Route Name | Direction | Termini | Junctions | Length | Population Area | Remarks row 1 : SH 2 | South North | Laredo, Texas La Salle County | none | miles (km) | Laredo Webb | Replaced by US 81
row 2 : SH 4 | South North | Zapata County Dimmit County | none | miles (km) | Laredo Webb | Replaced by US 83
row 3 : US 81 | South North | Laredo, Texas La Salle County | none | miles (km) | Laredo Webb | Replaced by I-35
row 4 : US 83 Bus. | South North | Gateway to the Americas Int'l Bridge | I-35 US 83 | miles (km) | Laredo | Replaced by BSI-35
row 5 : SH 96 | East West | Duval County Laredo | none | miles (km) | Las Lomas Laredo | Replaced by US 59
row 6 : SH 202 | East West | Duval County Laredo | none | miles (km) | Las Lomas Laredo | Replaced by US 96
row 7 : LP 420 | South North | Gateway to the Americas Int'l Bridge | I-35 US 83 | miles (km) | Laredo | Replaced by US 83 Bus.
row 8 : FM 863 | East West | Duval County US 83 | US 83 | miles (km) | None | Replaced by SH 44
row 9 : FM 3464 | East West | I-35 UR 1472 | I-35 UR 1472 | miles (km) | Laredo | Replaced by LP 20 [/Table] Answer this question based on the above table: What is the terminini of the highway with an east west direction and remarks that it was replaced by us 59?

Answer: Duval County Laredo
[Table] header: Route Name | Direction | Termini | Junctions | Length | Population Area | Remarks row 1 : SH 2 | South North | Laredo, Texas La Salle County | none | miles (km) | Laredo Webb | Replaced by US 81
row 2 : SH 4 | South North | Zapata County Dimmit County | none | miles (km) | Laredo Webb | Replaced by US 83
row 3 : US 81 | South North | Laredo, Texas La Salle County | none | miles (km) | Laredo Webb | Replaced by I-35
row 4 : US 83 Bus. | South North | Gateway to the Americas Int'l Bridge | I-35 US 83 | miles (km) | Laredo | Replaced by BSI-35
row 5 : SH 96 | East West | Duval County Laredo | none | miles (km) | Las Lomas Laredo | Replaced by US 59
row 6 : SH 202 | East West | Duval County Laredo | none | miles (km) | Las Lomas Laredo | Replaced by US 96
row 7 : LP 420 | South North | Gateway to the Americas Int'l Bridge | I-35 US 83 | miles (km) | Laredo | Replaced by US 83 Bus.
row 8 : FM 863 | East West | Duval County US 83 | US 83 | miles (km) | None | Replaced by SH 44
row 9 : FM 3464 | East West | I-35 UR 1472 | I-35 UR 1472 | miles (km) | Laredo | Replaced by LP 20 [/Table] Answer this question based on the above table: What is the length of the highway with the route name sh 2?

Answer: miles (km)