sail/symbolic-instruction-tuning huggingface dataset:
[Table] header: Total | Score | Winning Team | Losing Team | Venue | Date row 1 : 96 | 64-32 | Penrith Panthers | Newcastle Knights | CUA Stadium | 5 June 2010 (Round 13)
row 2 : 88 | 78-10 | Cronulla Sharks | Manly Sea Eagles | Toyota Park | 19 March 2012 (Round 23)
row 3 : 88 | 56-32 | Tigers | Sydney Roosters | Sydney Football Stadium | 9 August 2009 (round 22)
row 4 : 88 | 52-36 | Bulldogs | Canberra Raiders | Canberra Stadium | 26 April 2009 (round 7)
row 5 : 82 | 56-26 | Bulldogs | Sydney Roosters | Sydney Football Stadium | 27 June 2008 (round 16)
row 6 : 81 | 43-38 | New Zealand Warriors | Bulldogs | ANZ Stadium | 19 July 2008 (round 19)
row 7 : 80 | 56-24 | Gold Coast Titans | Sydney Roosters | Sydney Football Stadium | 11 July 2008 (round 18) [/Table] Answer this question based on the above table: Which Score has a Losing Team of sydney roosters, and a Total of 88?

Answer: 56-32
[Table] header: Week | Date | TV Time | Opponent | Result row 1 : 1 | September 6, 1998 | CBS 4:00 pm ET | at San Diego Chargers | L 16–14
row 2 : 2 | September 13, 1998 | CBS 1:00 pm ET | at Miami Dolphins | L 13–7
row 3 : 3 | September 20, 1998 | FOX 1:00 pm ET | St. Louis Rams | L 34–33
row 4 : 4 | Bye | Bye | Bye | Bye
row 5 : 5 | October 4, 1998 | FOX 1:00 pm ET | San Francisco 49ers | W 26–21
row 6 : 6 | October 11, 1998 | CBS 1:00 pm ET | at Indianapolis Colts | W 31–24
row 7 : 7 | October 18, 1998 | CBS 1:00 pm ET | Jacksonville Jaguars | W 17–16
row 8 : 8 | October 25, 1998 | ESPN 8:15 pm ET | at Carolina Panthers | W 30–14
row 9 : 9 | November 1, 1998 | CBS 1:00 pm ET | Miami Dolphins | W 30–24
row 10 : 10 | November 8, 1998 | CBS 4:15 pm ET | at New York Jets | L 34–12
row 11 : 11 | November 15, 1998 | CBS 1:00 pm ET | New England Patriots | W 13–10
row 12 : 12 | November 22, 1998 | CBS 1:00 pm ET | Indianapolis Colts | W 34–11
row 13 : 13 | November 29, 1998 | CBS 4:15 pm ET | at New England Patriots | L 25–21
row 14 : 14 | December 6, 1998 | CBS 1:00 pm ET | at Cincinnati Bengals | W 33–20
row 15 : 15 | December 13, 1998 | CBS 1:00 pm ET | Oakland Raiders | W 44–21
row 16 : 16 | December 19, 1998 | CBS 12:30 pm ET | New York Jets | L 17–10
row 17 : 17 | December 27, 1998 | CBS 1:00 pm ET | at New Orleans Saints | W 45–33 [/Table] Answer this question based on the above table: What was the TV Time for opponent jacksonville jaguars?

Answer: CBS 1:00 pm ET
[Table] header: Week | Date | TV Time | Opponent | Result row 1 : 1 | September 6, 1998 | CBS 4:00 pm ET | at San Diego Chargers | L 16–14
row 2 : 2 | September 13, 1998 | CBS 1:00 pm ET | at Miami Dolphins | L 13–7
row 3 : 3 | September 20, 1998 | FOX 1:00 pm ET | St. Louis Rams | L 34–33
row 4 : 4 | Bye | Bye | Bye | Bye
row 5 : 5 | October 4, 1998 | FOX 1:00 pm ET | San Francisco 49ers | W 26–21
row 6 : 6 | October 11, 1998 | CBS 1:00 pm ET | at Indianapolis Colts | W 31–24
row 7 : 7 | October 18, 1998 | CBS 1:00 pm ET | Jacksonville Jaguars | W 17–16
row 8 : 8 | October 25, 1998 | ESPN 8:15 pm ET | at Carolina Panthers | W 30–14
row 9 : 9 | November 1, 1998 | CBS 1:00 pm ET | Miami Dolphins | W 30–24
row 10 : 10 | November 8, 1998 | CBS 4:15 pm ET | at New York Jets | L 34–12
row 11 : 11 | November 15, 1998 | CBS 1:00 pm ET | New England Patriots | W 13–10
row 12 : 12 | November 22, 1998 | CBS 1:00 pm ET | Indianapolis Colts | W 34–11
row 13 : 13 | November 29, 1998 | CBS 4:15 pm ET | at New England Patriots | L 25–21
row 14 : 14 | December 6, 1998 | CBS 1:00 pm ET | at Cincinnati Bengals | W 33–20
row 15 : 15 | December 13, 1998 | CBS 1:00 pm ET | Oakland Raiders | W 44–21
row 16 : 16 | December 19, 1998 | CBS 12:30 pm ET | New York Jets | L 17–10
row 17 : 17 | December 27, 1998 | CBS 1:00 pm ET | at New Orleans Saints | W 45–33 [/Table] Answer this question based on the above table: What was the tv time on december 6, 1998?

Answer: CBS 1:00 pm ET
[Table] header: Week | Date | TV Time | Opponent | Result row 1 : 1 | September 6, 1998 | CBS 4:00 pm ET | at San Diego Chargers | L 16–14
row 2 : 2 | September 13, 1998 | CBS 1:00 pm ET | at Miami Dolphins | L 13–7
row 3 : 3 | September 20, 1998 | FOX 1:00 pm ET | St. Louis Rams | L 34–33
row 4 : 4 | Bye | Bye | Bye | Bye
row 5 : 5 | October 4, 1998 | FOX 1:00 pm ET | San Francisco 49ers | W 26–21
row 6 : 6 | October 11, 1998 | CBS 1:00 pm ET | at Indianapolis Colts | W 31–24
row 7 : 7 | October 18, 1998 | CBS 1:00 pm ET | Jacksonville Jaguars | W 17–16
row 8 : 8 | October 25, 1998 | ESPN 8:15 pm ET | at Carolina Panthers | W 30–14
row 9 : 9 | November 1, 1998 | CBS 1:00 pm ET | Miami Dolphins | W 30–24
row 10 : 10 | November 8, 1998 | CBS 4:15 pm ET | at New York Jets | L 34–12
row 11 : 11 | November 15, 1998 | CBS 1:00 pm ET | New England Patriots | W 13–10
row 12 : 12 | November 22, 1998 | CBS 1:00 pm ET | Indianapolis Colts | W 34–11
row 13 : 13 | November 29, 1998 | CBS 4:15 pm ET | at New England Patriots | L 25–21
row 14 : 14 | December 6, 1998 | CBS 1:00 pm ET | at Cincinnati Bengals | W 33–20
row 15 : 15 | December 13, 1998 | CBS 1:00 pm ET | Oakland Raiders | W 44–21
row 16 : 16 | December 19, 1998 | CBS 12:30 pm ET | New York Jets | L 17–10
row 17 : 17 | December 27, 1998 | CBS 1:00 pm ET | at New Orleans Saints | W 45–33 [/Table] Answer this question based on the above table: How many weeks has the opponent been san francisco 49ers?

Answer: 1.0
[Table] header: Round | Pick | Player | Nationality | College row 1 : 1 | 22 | Reggie Lewis | United States | Northeastern
row 2 : 2 | 45 | Brad Lohaus | United States | Iowa
row 3 : 4 | 70 | Tom Sheehey | United States | Virginia
row 4 : 4 | 91 | Darryl Kennedy | United States | Oklahoma
row 5 : 5 | 114 | David Butler | United States | California
row 6 : 6 | 137 | Tim Naegeli | United States | Wisconsin–Stevens Point
row 7 : 7 | 160 | Jerry Corcoran | United States | Northeastern [/Table] Answer this question based on the above table: What college did the player drafted after round 2 before pick 160 attend?

Answer: Virginia, Oklahoma, California, Wisconsin–Stevens Point
[Table] header: Round | Pick | Player | Nationality | College row 1 : 1 | 22 | Reggie Lewis | United States | Northeastern
row 2 : 2 | 45 | Brad Lohaus | United States | Iowa
row 3 : 4 | 70 | Tom Sheehey | United States | Virginia
row 4 : 4 | 91 | Darryl Kennedy | United States | Oklahoma
row 5 : 5 | 114 | David Butler | United States | California
row 6 : 6 | 137 | Tim Naegeli | United States | Wisconsin–Stevens Point
row 7 : 7 | 160 | Jerry Corcoran | United States | Northeastern [/Table] Answer this question based on the above table: What round was jerry corcoran drafted in as pick number 114?

Answer: 7.0
[Table] header: Round | Pick | Player | Nationality | College row 1 : 1 | 22 | Reggie Lewis | United States | Northeastern
row 2 : 2 | 45 | Brad Lohaus | United States | Iowa
row 3 : 4 | 70 | Tom Sheehey | United States | Virginia
row 4 : 4 | 91 | Darryl Kennedy | United States | Oklahoma
row 5 : 5 | 114 | David Butler | United States | California
row 6 : 6 | 137 | Tim Naegeli | United States | Wisconsin–Stevens Point
row 7 : 7 | 160 | Jerry Corcoran | United States | Northeastern [/Table] Answer this question based on the above table: What is the nationality of the round 4 draft selection who played college ball at oklahoma?

Answer: United States
[Table] header: Round | Pick | Player | Nationality | College row 1 : 1 | 22 | Reggie Lewis | United States | Northeastern
row 2 : 2 | 45 | Brad Lohaus | United States | Iowa
row 3 : 4 | 70 | Tom Sheehey | United States | Virginia
row 4 : 4 | 91 | Darryl Kennedy | United States | Oklahoma
row 5 : 5 | 114 | David Butler | United States | California
row 6 : 6 | 137 | Tim Naegeli | United States | Wisconsin–Stevens Point
row 7 : 7 | 160 | Jerry Corcoran | United States | Northeastern [/Table] Answer this question based on the above table: Who was the highest drafted player that attended college at Virginia?

Answer: 70.0
[Table] header: Round | Pick | Player | Nationality | College row 1 : 1 | 22 | Reggie Lewis | United States | Northeastern
row 2 : 2 | 45 | Brad Lohaus | United States | Iowa
row 3 : 4 | 70 | Tom Sheehey | United States | Virginia
row 4 : 4 | 91 | Darryl Kennedy | United States | Oklahoma
row 5 : 5 | 114 | David Butler | United States | California
row 6 : 6 | 137 | Tim Naegeli | United States | Wisconsin–Stevens Point
row 7 : 7 | 160 | Jerry Corcoran | United States | Northeastern [/Table] Answer this question based on the above table: What round was northeastern college player Reggie Lewis drafted in?

Answer: 1.0
[Table] header: Date | Opponent | Venue | Result | Attendance | Competition | Man of the Match row 1 : 6th | Milton Keynes Lightning | Away | Lost 2-5 | 809 | League | N/A
row 2 : 7th | Sheffield Scimitars | Home | Won 4-3 | 1,568 | League | Lukas Smital
row 3 : 14th | Peterborough Phantoms | Away | Lost 2-4 | 542 | League | Joe Watkins
row 4 : 26th | Bracknell Bees | Away | Lost 1-2 | 910 | League | David Savage
row 5 : 27th | Peterborough Phantoms | Home | Won 6-5 (OT) | 1,623 | League | Lukas Smital
row 6 : 28th | Telford Tigers | Away | Won 5-4 | Not Reported | League | Ollie Bronnimann [/Table] Answer this question based on the above table: What Away Competition had a Result of lost 2-4?

Answer: League
[Table] header: Date | Opponent | Venue | Result | Attendance | Competition | Man of the Match row 1 : 6th | Milton Keynes Lightning | Away | Lost 2-5 | 809 | League | N/A
row 2 : 7th | Sheffield Scimitars | Home | Won 4-3 | 1,568 | League | Lukas Smital
row 3 : 14th | Peterborough Phantoms | Away | Lost 2-4 | 542 | League | Joe Watkins
row 4 : 26th | Bracknell Bees | Away | Lost 1-2 | 910 | League | David Savage
row 5 : 27th | Peterborough Phantoms | Home | Won 6-5 (OT) | 1,623 | League | Lukas Smital
row 6 : 28th | Telford Tigers | Away | Won 5-4 | Not Reported | League | Ollie Bronnimann [/Table] Answer this question based on the above table: What is the Venue against the Bracknell Bees?

Answer: Away
[Table] header: Date | Opponent | Venue | Result | Attendance | Competition | Man of the Match row 1 : 6th | Milton Keynes Lightning | Away | Lost 2-5 | 809 | League | N/A
row 2 : 7th | Sheffield Scimitars | Home | Won 4-3 | 1,568 | League | Lukas Smital
row 3 : 14th | Peterborough Phantoms | Away | Lost 2-4 | 542 | League | Joe Watkins
row 4 : 26th | Bracknell Bees | Away | Lost 1-2 | 910 | League | David Savage
row 5 : 27th | Peterborough Phantoms | Home | Won 6-5 (OT) | 1,623 | League | Lukas Smital
row 6 : 28th | Telford Tigers | Away | Won 5-4 | Not Reported | League | Ollie Bronnimann [/Table] Answer this question based on the above table: What is the Away Competition on the 6th?

Answer: League
[Table] header: Date | Opponent | Venue | Result | Attendance | Competition | Man of the Match row 1 : 6th | Milton Keynes Lightning | Away | Lost 2-5 | 809 | League | N/A
row 2 : 7th | Sheffield Scimitars | Home | Won 4-3 | 1,568 | League | Lukas Smital
row 3 : 14th | Peterborough Phantoms | Away | Lost 2-4 | 542 | League | Joe Watkins
row 4 : 26th | Bracknell Bees | Away | Lost 1-2 | 910 | League | David Savage
row 5 : 27th | Peterborough Phantoms | Home | Won 6-5 (OT) | 1,623 | League | Lukas Smital
row 6 : 28th | Telford Tigers | Away | Won 5-4 | Not Reported | League | Ollie Bronnimann [/Table] Answer this question based on the above table: What Competition had a Result of lost 1-2?

Answer: League
[Table] header: Date | Opponent | Venue | Result | Attendance | Competition | Man of the Match row 1 : 6th | Milton Keynes Lightning | Away | Lost 2-5 | 809 | League | N/A
row 2 : 7th | Sheffield Scimitars | Home | Won 4-3 | 1,568 | League | Lukas Smital
row 3 : 14th | Peterborough Phantoms | Away | Lost 2-4 | 542 | League | Joe Watkins
row 4 : 26th | Bracknell Bees | Away | Lost 1-2 | 910 | League | David Savage
row 5 : 27th | Peterborough Phantoms | Home | Won 6-5 (OT) | 1,623 | League | Lukas Smital
row 6 : 28th | Telford Tigers | Away | Won 5-4 | Not Reported | League | Ollie Bronnimann [/Table] Answer this question based on the above table: What is the Man of the Match of the Competition with a Result of lost 2-5?

Answer: N/A
[Table] header: Date | Opponent | Venue | Result | Attendance | Competition | Man of the Match row 1 : 6th | Milton Keynes Lightning | Away | Lost 2-5 | 809 | League | N/A
row 2 : 7th | Sheffield Scimitars | Home | Won 4-3 | 1,568 | League | Lukas Smital
row 3 : 14th | Peterborough Phantoms | Away | Lost 2-4 | 542 | League | Joe Watkins
row 4 : 26th | Bracknell Bees | Away | Lost 1-2 | 910 | League | David Savage
row 5 : 27th | Peterborough Phantoms | Home | Won 6-5 (OT) | 1,623 | League | Lukas Smital
row 6 : 28th | Telford Tigers | Away | Won 5-4 | Not Reported | League | Ollie Bronnimann [/Table] Answer this question based on the above table: What is the Date of the Competition with Man of the Match Ollie Bronnimann?

Answer: 28th
[Table] header: Team 1 | Score | Team 2 | 1st round | 2nd round row 1 : Girondins de Bordeaux (D1) | 0 - 4 | FC Nantes (D1) | 0 - 0 | 0 - 4
row 2 : RC Strasbourg (D1) | 2 - 7 | Paris SG (D1) | 0 - 2 | 2 - 5
row 3 : Stade Brestois (D1) | 4 - 2 | AS Monaco (D1) | 4 - 1 | 0 - 1
row 4 : FC Rouen (D1) | 2 - 1 | Toulouse FC (D1) | 2 - 1 | 0 - 0
row 5 : Tours FC (D1) | 4 - 3 | Olympique Lyonnais (D2) | 2 - 0 | 2 - 3
row 6 : Stade Lavallois (D1) | 0 - 0 | En Avant Guingamp (D2) | 0 - 0 | 0 - 0
row 7 : FC Martigues (D2) | 2 - 3 | Lille OSC (D1) | 2 - 1 | 0 - 2
row 8 : RC Paris (D2) | 3 - 1 | Gazélec Ajaccio (D | 3 - 0 | 0 - 1 [/Table] Answer this question based on the above table: what is team 2 when team 1 is fc rouen (d1)?

Answer: Toulouse FC (D1)
[Table] header: Team 1 | Score | Team 2 | 1st round | 2nd round row 1 : Girondins de Bordeaux (D1) | 0 - 4 | FC Nantes (D1) | 0 - 0 | 0 - 4
row 2 : RC Strasbourg (D1) | 2 - 7 | Paris SG (D1) | 0 - 2 | 2 - 5
row 3 : Stade Brestois (D1) | 4 - 2 | AS Monaco (D1) | 4 - 1 | 0 - 1
row 4 : FC Rouen (D1) | 2 - 1 | Toulouse FC (D1) | 2 - 1 | 0 - 0
row 5 : Tours FC (D1) | 4 - 3 | Olympique Lyonnais (D2) | 2 - 0 | 2 - 3
row 6 : Stade Lavallois (D1) | 0 - 0 | En Avant Guingamp (D2) | 0 - 0 | 0 - 0
row 7 : FC Martigues (D2) | 2 - 3 | Lille OSC (D1) | 2 - 1 | 0 - 2
row 8 : RC Paris (D2) | 3 - 1 | Gazélec Ajaccio (D | 3 - 0 | 0 - 1 [/Table] Answer this question based on the above table: what is team 1 when team 2 is gazélec ajaccio (d3)?

Answer: none
[Table] header: Team 1 | Score | Team 2 | 1st round | 2nd round row 1 : Girondins de Bordeaux (D1) | 0 - 4 | FC Nantes (D1) | 0 - 0 | 0 - 4
row 2 : RC Strasbourg (D1) | 2 - 7 | Paris SG (D1) | 0 - 2 | 2 - 5
row 3 : Stade Brestois (D1) | 4 - 2 | AS Monaco (D1) | 4 - 1 | 0 - 1
row 4 : FC Rouen (D1) | 2 - 1 | Toulouse FC (D1) | 2 - 1 | 0 - 0
row 5 : Tours FC (D1) | 4 - 3 | Olympique Lyonnais (D2) | 2 - 0 | 2 - 3
row 6 : Stade Lavallois (D1) | 0 - 0 | En Avant Guingamp (D2) | 0 - 0 | 0 - 0
row 7 : FC Martigues (D2) | 2 - 3 | Lille OSC (D1) | 2 - 1 | 0 - 2
row 8 : RC Paris (D2) | 3 - 1 | Gazélec Ajaccio (D | 3 - 0 | 0 - 1 [/Table] Answer this question based on the above table: what is the 1st round when team 2 is olympique lyonnais (d2)?

Answer: 2 - 0
[Table] header: Name | League | FA Cup | League Cup | Total row 1 : Brian McBride | 9 | 3 | 0 | 12
row 2 : Carlos Bocanegra | 5 | 0 | 0 | 5
row 3 : Vincenzo Montella | 2 | 3 | 0 | 5
row 4 : Heiðar Helguson | 3 | 0 | 1 | 4
row 5 : Tomasz Radzinski | 2 | 1 | 0 | 3
row 6 : Moritz Volz | 2 | 1 | 0 | 3
row 7 : Jimmy Bullard | 2 | 0 | 0 | 2
row 8 : Simon Davies | 2 | 0 | 0 | 2
row 9 : Claus Jensen | 2 | 0 | 0 | 2
row 10 : Zat Knight | 2 | 0 | 0 | 2
row 11 : Philippe Christanval | 1 | 0 | 0 | 1
row 12 : Clint Dempsey | 1 | 0 | 0 | 1
row 13 : Collins John | 1 | 0 | 0 | 1
row 14 : Franck Queudrue | 1 | 0 | 0 | 1
row 15 : Ian Pearce | 1 | 0 | 0 | 1
row 16 : Wayne Routledge | 0 | 1 | 0 | 1
row 17 : Own goals | 2 | 0 | 0 | 2
row 18 : Total | 38 | 9 | 1 | 48 [/Table] Answer this question based on the above table: what is the lowest total when the league cup is more than 0, the name is heiðar helguson and the league is less than 3?

Answer: none
[Table] header: Name | League | FA Cup | League Cup | Total row 1 : Brian McBride | 9 | 3 | 0 | 12
row 2 : Carlos Bocanegra | 5 | 0 | 0 | 5
row 3 : Vincenzo Montella | 2 | 3 | 0 | 5
row 4 : Heiðar Helguson | 3 | 0 | 1 | 4
row 5 : Tomasz Radzinski | 2 | 1 | 0 | 3
row 6 : Moritz Volz | 2 | 1 | 0 | 3
row 7 : Jimmy Bullard | 2 | 0 | 0 | 2
row 8 : Simon Davies | 2 | 0 | 0 | 2
row 9 : Claus Jensen | 2 | 0 | 0 | 2
row 10 : Zat Knight | 2 | 0 | 0 | 2
row 11 : Philippe Christanval | 1 | 0 | 0 | 1
row 12 : Clint Dempsey | 1 | 0 | 0 | 1
row 13 : Collins John | 1 | 0 | 0 | 1
row 14 : Franck Queudrue | 1 | 0 | 0 | 1
row 15 : Ian Pearce | 1 | 0 | 0 | 1
row 16 : Wayne Routledge | 0 | 1 | 0 | 1
row 17 : Own goals | 2 | 0 | 0 | 2
row 18 : Total | 38 | 9 | 1 | 48 [/Table] Answer this question based on the above table: what is the highest fa cup when the league cup is more than 0, the name is heiðar helguson and the league is less than 3?

Answer: none
[Table] header: Name | League | FA Cup | League Cup | Total row 1 : Brian McBride | 9 | 3 | 0 | 12
row 2 : Carlos Bocanegra | 5 | 0 | 0 | 5
row 3 : Vincenzo Montella | 2 | 3 | 0 | 5
row 4 : Heiðar Helguson | 3 | 0 | 1 | 4
row 5 : Tomasz Radzinski | 2 | 1 | 0 | 3
row 6 : Moritz Volz | 2 | 1 | 0 | 3
row 7 : Jimmy Bullard | 2 | 0 | 0 | 2
row 8 : Simon Davies | 2 | 0 | 0 | 2
row 9 : Claus Jensen | 2 | 0 | 0 | 2
row 10 : Zat Knight | 2 | 0 | 0 | 2
row 11 : Philippe Christanval | 1 | 0 | 0 | 1
row 12 : Clint Dempsey | 1 | 0 | 0 | 1
row 13 : Collins John | 1 | 0 | 0 | 1
row 14 : Franck Queudrue | 1 | 0 | 0 | 1
row 15 : Ian Pearce | 1 | 0 | 0 | 1
row 16 : Wayne Routledge | 0 | 1 | 0 | 1
row 17 : Own goals | 2 | 0 | 0 | 2
row 18 : Total | 38 | 9 | 1 | 48 [/Table] Answer this question based on the above table: what is the total when the league is less than 1?

Answer: 1.0
[Table] header: Rank | Company | Headquarters | Industry | Sales (billion $) | Profits (billion $) | Assets (billion $) | Market Value (billion $) row 1 : 1. | Citigroup | USA | Banking | 120.32 | 24.64 | 1,494.04 | 230.93
row 2 : 2. | General Electric | USA | Conglomerate | 149.70 | 16.35 | 673.30 | 348.45
row 3 : 3. | Bank of America | USA | Banking | 85.39 | 16.47 | 1,291.80 | 184.17
row 4 : 4. | American International Group | USA | Insurance | 106.98 | 11.90 | 843.40 | 172.24
row 5 : 5. | HSBC | UK | Banking | 76.38 | 12.36 | 1,274.22 | 193.32
row 6 : 6. | ExxonMobil | USA | Oil & Gas | 328.21 | 36.13 | 208.34 | 362.53
row 7 : 7. | Royal Dutch Shell | Netherlands | Oil & Gas | 306.73 | 25.31 | 216.95 | 203.52
row 8 : 8. | BP | UK | Oil & Gas | 249.47 | 22.63 | 206.91 | 225.93
row 9 : 9. | JPMorgan Chase | USA | Banking | 79.90 | 8.48 | 1,198.94 | 144.13
row 10 : 10. | UBS | Switzerland | Diversified Financials | 78.25 | 10.65 | 1,519.40 | 105.69 [/Table] Answer this question based on the above table: What is the lowest profits (billion $) for the rank 6?

Answer: 36.13
[Table] header: Rank | Company | Headquarters | Industry | Sales (billion $) | Profits (billion $) | Assets (billion $) | Market Value (billion $) row 1 : 1. | Citigroup | USA | Banking | 120.32 | 24.64 | 1,494.04 | 230.93
row 2 : 2. | General Electric | USA | Conglomerate | 149.70 | 16.35 | 673.30 | 348.45
row 3 : 3. | Bank of America | USA | Banking | 85.39 | 16.47 | 1,291.80 | 184.17
row 4 : 4. | American International Group | USA | Insurance | 106.98 | 11.90 | 843.40 | 172.24
row 5 : 5. | HSBC | UK | Banking | 76.38 | 12.36 | 1,274.22 | 193.32
row 6 : 6. | ExxonMobil | USA | Oil & Gas | 328.21 | 36.13 | 208.34 | 362.53
row 7 : 7. | Royal Dutch Shell | Netherlands | Oil & Gas | 306.73 | 25.31 | 216.95 | 203.52
row 8 : 8. | BP | UK | Oil & Gas | 249.47 | 22.63 | 206.91 | 225.93
row 9 : 9. | JPMorgan Chase | USA | Banking | 79.90 | 8.48 | 1,198.94 | 144.13
row 10 : 10. | UBS | Switzerland | Diversified Financials | 78.25 | 10.65 | 1,519.40 | 105.69 [/Table] Answer this question based on the above table: What is the smallest rank for an industry of banking, a company of bank of america, and profits (billion $) larger than 16.47?

Answer: none
[Table] header: Rank | Company | Headquarters | Industry | Sales (billion $) | Profits (billion $) | Assets (billion $) | Market Value (billion $) row 1 : 1. | Citigroup | USA | Banking | 120.32 | 24.64 | 1,494.04 | 230.93
row 2 : 2. | General Electric | USA | Conglomerate | 149.70 | 16.35 | 673.30 | 348.45
row 3 : 3. | Bank of America | USA | Banking | 85.39 | 16.47 | 1,291.80 | 184.17
row 4 : 4. | American International Group | USA | Insurance | 106.98 | 11.90 | 843.40 | 172.24
row 5 : 5. | HSBC | UK | Banking | 76.38 | 12.36 | 1,274.22 | 193.32
row 6 : 6. | ExxonMobil | USA | Oil & Gas | 328.21 | 36.13 | 208.34 | 362.53
row 7 : 7. | Royal Dutch Shell | Netherlands | Oil & Gas | 306.73 | 25.31 | 216.95 | 203.52
row 8 : 8. | BP | UK | Oil & Gas | 249.47 | 22.63 | 206.91 | 225.93
row 9 : 9. | JPMorgan Chase | USA | Banking | 79.90 | 8.48 | 1,198.94 | 144.13
row 10 : 10. | UBS | Switzerland | Diversified Financials | 78.25 | 10.65 | 1,519.40 | 105.69 [/Table] Answer this question based on the above table: What is the lowest market value (billion $) with a headquarter of usa , and the rank larger than 3, assets (billion$) larger than 208.34, and the company jpmorgan chase?

Answer: 144.13
[Table] header: Season in Tamil | English Transliteration | English Translation | Season in Sanskrit | Season in English | Tamil Months | Gregorian Months row 1 : இளவேனில் | ila-venil | Light warmth | Vasanta | Spring | chithirai, vaigās | Mid Apr - Mid Jun
row 2 : முதுவேனில் | mutu-venil | Harsh warmth | Grishma | Summer | āni, ādi | Mid Jun - Mid Aug
row 3 : கார் | kār | Dark clouds, Rain | Varsha | Monsoon | āvani, puratāci | Mid Aug - Mid Oct
row 4 : குளிர் | kulir | Chill, Cold | Sharada | Autumn | aippasi, k | Mid Oct - Mid Dec
row 5 : முன்பனி | mun-pani | Early dew | Hemanta | Winter | mārkazhi,  | Mid Dec - Mid Feb
row 6 : பின்பனி | pin-pani | Late dew | Sishira | Prevernal | māsi, panguni | Mid Feb - Mid Apr [/Table] Answer this question based on the above table: What season in sanskrit means summer in English?

Answer: Grishma
[Table] header: Season in Tamil | English Transliteration | English Translation | Season in Sanskrit | Season in English | Tamil Months | Gregorian Months row 1 : இளவேனில் | ila-venil | Light warmth | Vasanta | Spring | chithirai, vaigās | Mid Apr - Mid Jun
row 2 : முதுவேனில் | mutu-venil | Harsh warmth | Grishma | Summer | āni, ādi | Mid Jun - Mid Aug
row 3 : கார் | kār | Dark clouds, Rain | Varsha | Monsoon | āvani, puratāci | Mid Aug - Mid Oct
row 4 : குளிர் | kulir | Chill, Cold | Sharada | Autumn | aippasi, k | Mid Oct - Mid Dec
row 5 : முன்பனி | mun-pani | Early dew | Hemanta | Winter | mārkazhi,  | Mid Dec - Mid Feb
row 6 : பின்பனி | pin-pani | Late dew | Sishira | Prevernal | māsi, panguni | Mid Feb - Mid Apr [/Table] Answer this question based on the above table: What is the english translation of the sanskrit word varsha?

Answer: Dark clouds, Rain
[Table] header: Season in Tamil | English Transliteration | English Translation | Season in Sanskrit | Season in English | Tamil Months | Gregorian Months row 1 : இளவேனில் | ila-venil | Light warmth | Vasanta | Spring | chithirai, vaigās | Mid Apr - Mid Jun
row 2 : முதுவேனில் | mutu-venil | Harsh warmth | Grishma | Summer | āni, ādi | Mid Jun - Mid Aug
row 3 : கார் | kār | Dark clouds, Rain | Varsha | Monsoon | āvani, puratāci | Mid Aug - Mid Oct
row 4 : குளிர் | kulir | Chill, Cold | Sharada | Autumn | aippasi, k | Mid Oct - Mid Dec
row 5 : முன்பனி | mun-pani | Early dew | Hemanta | Winter | mārkazhi,  | Mid Dec - Mid Feb
row 6 : பின்பனி | pin-pani | Late dew | Sishira | Prevernal | māsi, panguni | Mid Feb - Mid Apr [/Table] Answer this question based on the above table: What are the gregorian months for the season குளிர் in Tamil?

Answer: Mid Oct - Mid Dec
[Table] header: Season in Tamil | English Transliteration | English Translation | Season in Sanskrit | Season in English | Tamil Months | Gregorian Months row 1 : இளவேனில் | ila-venil | Light warmth | Vasanta | Spring | chithirai, vaigās | Mid Apr - Mid Jun
row 2 : முதுவேனில் | mutu-venil | Harsh warmth | Grishma | Summer | āni, ādi | Mid Jun - Mid Aug
row 3 : கார் | kār | Dark clouds, Rain | Varsha | Monsoon | āvani, puratāci | Mid Aug - Mid Oct
row 4 : குளிர் | kulir | Chill, Cold | Sharada | Autumn | aippasi, k | Mid Oct - Mid Dec
row 5 : முன்பனி | mun-pani | Early dew | Hemanta | Winter | mārkazhi,  | Mid Dec - Mid Feb
row 6 : பின்பனி | pin-pani | Late dew | Sishira | Prevernal | māsi, panguni | Mid Feb - Mid Apr [/Table] Answer this question based on the above table: What are the months in Tamil that has an english transliteration of Mun-pani?

Answer: mārkazhi,
[Table] header: Season in Tamil | English Transliteration | English Translation | Season in Sanskrit | Season in English | Tamil Months | Gregorian Months row 1 : இளவேனில் | ila-venil | Light warmth | Vasanta | Spring | chithirai, vaigās | Mid Apr - Mid Jun
row 2 : முதுவேனில் | mutu-venil | Harsh warmth | Grishma | Summer | āni, ādi | Mid Jun - Mid Aug
row 3 : கார் | kār | Dark clouds, Rain | Varsha | Monsoon | āvani, puratāci | Mid Aug - Mid Oct
row 4 : குளிர் | kulir | Chill, Cold | Sharada | Autumn | aippasi, k | Mid Oct - Mid Dec
row 5 : முன்பனி | mun-pani | Early dew | Hemanta | Winter | mārkazhi,  | Mid Dec - Mid Feb
row 6 : பின்பனி | pin-pani | Late dew | Sishira | Prevernal | māsi, panguni | Mid Feb - Mid Apr [/Table] Answer this question based on the above table: What is the english transliteration of late dew?

Answer: pin-pani
[Table] header: Season in Tamil | English Transliteration | English Translation | Season in Sanskrit | Season in English | Tamil Months | Gregorian Months row 1 : இளவேனில் | ila-venil | Light warmth | Vasanta | Spring | chithirai, vaigās | Mid Apr - Mid Jun
row 2 : முதுவேனில் | mutu-venil | Harsh warmth | Grishma | Summer | āni, ādi | Mid Jun - Mid Aug
row 3 : கார் | kār | Dark clouds, Rain | Varsha | Monsoon | āvani, puratāci | Mid Aug - Mid Oct
row 4 : குளிர் | kulir | Chill, Cold | Sharada | Autumn | aippasi, k | Mid Oct - Mid Dec
row 5 : முன்பனி | mun-pani | Early dew | Hemanta | Winter | mārkazhi,  | Mid Dec - Mid Feb
row 6 : பின்பனி | pin-pani | Late dew | Sishira | Prevernal | māsi, panguni | Mid Feb - Mid Apr [/Table] Answer this question based on the above table: What is the english word Monsoon in Tamil?

Answer: கார்
[Table] header: Game | Date | Team | Score | High points | High rebounds | High assists | Location Attendance | Record row 1 : 75 | April 1 | @ Boston | L 109–111 (2OT) | Gerald Wallace (20) | Gerald Wallace , Emeka Okafor | Raymond Felton (12) | TD Banknorth Garden 18,624 | 34–41
row 2 : 76 | April 3 | Miami | L 92–97 (OT) | Gerald Wallace (21) | Emeka Okafor (13) | Raymond Felton (10) | Time Warner Cable Arena 19,568 | 34–42
row 3 : 77 | April 5 | @ Detroit | L 97–104 (OT) | D. J. Augustin (22) | Emeka Okafor (16) | Boris Diaw (6) | The Palace of Auburn Hills 22,076 | 34–43
row 4 : 78 | April 7 | Philadelphia | W 101–98 (OT) | Raymond Felton (32) | Emeka Okafor (12) | Boris Diaw , D. J. | Time Warner Cable Arena 16,499 | 35–43
row 5 : 79 | April 10 | @ Oklahoma City | L 81–84 (OT) | D. J. Augustin (20) | Gerald Wallace (14) | Raymond Felton (5) | Ford Center 19,136 | 35–44
row 6 : 80 | April 11 | @ Chicago | L 106–113 (OT) | Raymond Felton (26) | Emeka Okafor (14) | D. J. Augustin (8) | United Center 20,265 | 35–45
row 7 : 81 | April 13 | @ New Jersey | L 87–91 (OT) | Raymond Felton (19) | DeSagana Diop , | Raymond Felton (5) | Izod Center 14,519 | 35–46
row 8 : 82 | April 15 | @ Orlando | L 73–98 (OT) | Raymond Felton (13) | Gerald Wallace (10) | Dontell Jefferson (4) | Amway Arena 17,461 | 35–47 [/Table] Answer this question based on the above table: Which Score has High points of raymond felton (32)?

Answer: W 101–98 (OT)
[Table] header: Game | Date | Team | Score | High points | High rebounds | High assists | Location Attendance | Record row 1 : 75 | April 1 | @ Boston | L 109–111 (2OT) | Gerald Wallace (20) | Gerald Wallace , Emeka Okafor | Raymond Felton (12) | TD Banknorth Garden 18,624 | 34–41
row 2 : 76 | April 3 | Miami | L 92–97 (OT) | Gerald Wallace (21) | Emeka Okafor (13) | Raymond Felton (10) | Time Warner Cable Arena 19,568 | 34–42
row 3 : 77 | April 5 | @ Detroit | L 97–104 (OT) | D. J. Augustin (22) | Emeka Okafor (16) | Boris Diaw (6) | The Palace of Auburn Hills 22,076 | 34–43
row 4 : 78 | April 7 | Philadelphia | W 101–98 (OT) | Raymond Felton (32) | Emeka Okafor (12) | Boris Diaw , D. J. | Time Warner Cable Arena 16,499 | 35–43
row 5 : 79 | April 10 | @ Oklahoma City | L 81–84 (OT) | D. J. Augustin (20) | Gerald Wallace (14) | Raymond Felton (5) | Ford Center 19,136 | 35–44
row 6 : 80 | April 11 | @ Chicago | L 106–113 (OT) | Raymond Felton (26) | Emeka Okafor (14) | D. J. Augustin (8) | United Center 20,265 | 35–45
row 7 : 81 | April 13 | @ New Jersey | L 87–91 (OT) | Raymond Felton (19) | DeSagana Diop , | Raymond Felton (5) | Izod Center 14,519 | 35–46
row 8 : 82 | April 15 | @ Orlando | L 73–98 (OT) | Raymond Felton (13) | Gerald Wallace (10) | Dontell Jefferson (4) | Amway Arena 17,461 | 35–47 [/Table] Answer this question based on the above table: Which Record has a Team of philadelphia?

Answer: 35–43
[Table] header: Game | Date | Team | Score | High points | High rebounds | High assists | Location Attendance | Record row 1 : 75 | April 1 | @ Boston | L 109–111 (2OT) | Gerald Wallace (20) | Gerald Wallace , Emeka Okafor | Raymond Felton (12) | TD Banknorth Garden 18,624 | 34–41
row 2 : 76 | April 3 | Miami | L 92–97 (OT) | Gerald Wallace (21) | Emeka Okafor (13) | Raymond Felton (10) | Time Warner Cable Arena 19,568 | 34–42
row 3 : 77 | April 5 | @ Detroit | L 97–104 (OT) | D. J. Augustin (22) | Emeka Okafor (16) | Boris Diaw (6) | The Palace of Auburn Hills 22,076 | 34–43
row 4 : 78 | April 7 | Philadelphia | W 101–98 (OT) | Raymond Felton (32) | Emeka Okafor (12) | Boris Diaw , D. J. | Time Warner Cable Arena 16,499 | 35–43
row 5 : 79 | April 10 | @ Oklahoma City | L 81–84 (OT) | D. J. Augustin (20) | Gerald Wallace (14) | Raymond Felton (5) | Ford Center 19,136 | 35–44
row 6 : 80 | April 11 | @ Chicago | L 106–113 (OT) | Raymond Felton (26) | Emeka Okafor (14) | D. J. Augustin (8) | United Center 20,265 | 35–45
row 7 : 81 | April 13 | @ New Jersey | L 87–91 (OT) | Raymond Felton (19) | DeSagana Diop , | Raymond Felton (5) | Izod Center 14,519 | 35–46
row 8 : 82 | April 15 | @ Orlando | L 73–98 (OT) | Raymond Felton (13) | Gerald Wallace (10) | Dontell Jefferson (4) | Amway Arena 17,461 | 35–47 [/Table] Answer this question based on the above table: Which High rebounds has a Game of 76?

Answer: Emeka Okafor (13)
[Table] header: Game | Date | Team | Score | High points | High rebounds | High assists | Location Attendance | Record row 1 : 75 | April 1 | @ Boston | L 109–111 (2OT) | Gerald Wallace (20) | Gerald Wallace , Emeka Okafor | Raymond Felton (12) | TD Banknorth Garden 18,624 | 34–41
row 2 : 76 | April 3 | Miami | L 92–97 (OT) | Gerald Wallace (21) | Emeka Okafor (13) | Raymond Felton (10) | Time Warner Cable Arena 19,568 | 34–42
row 3 : 77 | April 5 | @ Detroit | L 97–104 (OT) | D. J. Augustin (22) | Emeka Okafor (16) | Boris Diaw (6) | The Palace of Auburn Hills 22,076 | 34–43
row 4 : 78 | April 7 | Philadelphia | W 101–98 (OT) | Raymond Felton (32) | Emeka Okafor (12) | Boris Diaw , D. J. | Time Warner Cable Arena 16,499 | 35–43
row 5 : 79 | April 10 | @ Oklahoma City | L 81–84 (OT) | D. J. Augustin (20) | Gerald Wallace (14) | Raymond Felton (5) | Ford Center 19,136 | 35–44
row 6 : 80 | April 11 | @ Chicago | L 106–113 (OT) | Raymond Felton (26) | Emeka Okafor (14) | D. J. Augustin (8) | United Center 20,265 | 35–45
row 7 : 81 | April 13 | @ New Jersey | L 87–91 (OT) | Raymond Felton (19) | DeSagana Diop , | Raymond Felton (5) | Izod Center 14,519 | 35–46
row 8 : 82 | April 15 | @ Orlando | L 73–98 (OT) | Raymond Felton (13) | Gerald Wallace (10) | Dontell Jefferson (4) | Amway Arena 17,461 | 35–47 [/Table] Answer this question based on the above table: Which Location Attendance has a High assists of raymond felton (5), and a Record of 35–44?

Answer: Ford Center 19,136
[Table] header: Game | Date | Team | Score | High points | High rebounds | High assists | Location Attendance | Record row 1 : 75 | April 1 | @ Boston | L 109–111 (2OT) | Gerald Wallace (20) | Gerald Wallace , Emeka Okafor | Raymond Felton (12) | TD Banknorth Garden 18,624 | 34–41
row 2 : 76 | April 3 | Miami | L 92–97 (OT) | Gerald Wallace (21) | Emeka Okafor (13) | Raymond Felton (10) | Time Warner Cable Arena 19,568 | 34–42
row 3 : 77 | April 5 | @ Detroit | L 97–104 (OT) | D. J. Augustin (22) | Emeka Okafor (16) | Boris Diaw (6) | The Palace of Auburn Hills 22,076 | 34–43
row 4 : 78 | April 7 | Philadelphia | W 101–98 (OT) | Raymond Felton (32) | Emeka Okafor (12) | Boris Diaw , D. J. | Time Warner Cable Arena 16,499 | 35–43
row 5 : 79 | April 10 | @ Oklahoma City | L 81–84 (OT) | D. J. Augustin (20) | Gerald Wallace (14) | Raymond Felton (5) | Ford Center 19,136 | 35–44
row 6 : 80 | April 11 | @ Chicago | L 106–113 (OT) | Raymond Felton (26) | Emeka Okafor (14) | D. J. Augustin (8) | United Center 20,265 | 35–45
row 7 : 81 | April 13 | @ New Jersey | L 87–91 (OT) | Raymond Felton (19) | DeSagana Diop , | Raymond Felton (5) | Izod Center 14,519 | 35–46
row 8 : 82 | April 15 | @ Orlando | L 73–98 (OT) | Raymond Felton (13) | Gerald Wallace (10) | Dontell Jefferson (4) | Amway Arena 17,461 | 35–47 [/Table] Answer this question based on the above table: Which Location Attendance has a Date of april 15?

Answer: Amway Arena 17,461
[Table] header: Game | Date | Team | Score | High points | High rebounds | High assists | Location Attendance | Record row 1 : 3 | November 1 | @ Phoenix | L 96–107 (OT) | Brandon Roy , Rudy Fernández | Joel Przybilla (9) | Brandon Roy , Travis Outlaw , Sergi | US Airways Center 18,422 | 1–2
row 2 : 4 | November 5 | @ Utah | L 96–103 (OT) | Brandon Roy , LaMarcus Ald | Joel Przybilla (16) | Brandon Roy (6) | EnergySolutions Arena 19,911 | 1–3
row 3 : 5 | November 6 | Houston | W 101–99 (OT) | LaMarcus Aldridge (27) | Travis Outlaw (13) | Steve Blake (8) | Rose Garden 20,611 | 2–3
row 4 : 6 | November 8 | Minnesota | W 97–93 (OT) | LaMarcus Aldridge , Brandon | LaMarcus Aldridge (13) | Brandon Roy (9) | Rose Garden 20,599 | 3–3
row 5 : 7 | November 10 | @ Orlando | W 106–99 (OT) | Brandon Roy (27) | LaMarcus Aldridge (11) | Steve Blake , Brandon Roy , Sergio | Amway Arena 14,210 | 4–3
row 6 : 8 | November 12 | @ Miami | W 104–96 (OT) | Rudy Fernández (25) | Joel Przybilla (10) | Sergio Rodríguez (5) | American Airlines Arena 15,021 | 5–3
row 7 : 9 | November 14 | @ New Orleans | L 82–87 (OT) | Brandon Roy (21) | Greg Oden (11) | Sergio Rodríguez (7) | New Orleans Arena 16,071 | 5–4
row 8 : 10 | November 15 | @ Minnesota | W 88–83 (OT) | Brandon Roy (24) | Greg Oden , Joel Przybilla | Brandon Roy (6) | Target Center 12,213 | 6–4
row 9 : 11 | November 18 | @ Golden State | L 106–111 (OT) | Brandon Roy , Greg Oden (22) | Greg Oden (10) | Brandon Roy (9) | Oracle Arena 18,284 | 6–5
row 10 : 12 | November 19 | Chicago | W 116–74 (OT) | Brandon Roy (20) | Greg Oden (10) | Sergio Rodríguez (9) | Rose Garden 20,599 | 7–5
row 11 : 13 | November 21 | @ Sacramento | W 117–96 (OT) | Steve Blake (20) | Joel Przybilla (10) | Steve Blake (5) | ARCO Arena 12,056 | 8–5
row 12 : 14 | November 22 | @ Phoenix | L 92–102 (OT) | Brandon Roy (26) | Channing Frye , Joel Przy | Steve Blake (5) | US Airways Center 18,422 | 8–6
row 13 : 15 | November 24 | Sacramento | W 91–90 (OT) | Brandon Roy (28) | Joel Przybilla (12) | Steve Blake (5) | Rose Garden 20,467 | 9–6
row 14 : 16 | November 26 | Miami | W 106–68 (OT) | Channing Frye (17) | Greg Oden (10) | Sergio Rodríguez (11) | Rose Garden 20,528 | 10–6
row 15 : 17 | November 28 | New Orleans | W 101–86 (OT) | Brandon Roy (25) | Greg Oden (8) | Brandon Roy (10) | Rose Garden 20,638 | 11–6
row 16 : 18 | November 30 | @ Detroit | W 96–85 (OT) | LaMarcus Aldridge (27) | Greg Oden (13) | Steve Blake (7) | The Palace of Auburn Hills 22,076 | 12–6 [/Table] Answer this question based on the above table: What date was there a game larger than 17?

Answer: November 30
[Table] header: Date | Opponent | Venue | Result | Attendance row 1 : 20 August 1898 | Partick Thistle | H | 6–2 | 7,000
row 2 : 27 August 1898 | St. Mirren | A | 3–1 | ||A.Smith, Hamilton, McP
row 3 : 3 September 1898 | Heart of Midlothian | A | 3–2 | 17,500
row 4 : 10 September 1898 | Third Lanark | H | 4–1 | 18,000
row 5 : 19 September 1898 | St. Bernard's | A | 2–0 | 8,000
row 6 : 24 September 1898 | Celtic | A | 4–0 | 45,000
row 7 : 26 September 1898 | Third Lanark | A | 3–2 | 14,000
row 8 : 1 October 1898 | Heart of Midlothian | H | 3–1 | 25,000
row 9 : 8 October 1898 | Dundee | A | 2–1 | 7,500
row 10 : 5 November 1898 | Partick Thistle | A | 5–0 | 5,000
row 11 : 19 November 1898 | Hibernian | A | 4–3 | 10,000
row 12 : 26 November 1898 | Clyde | H | 8–0 | 4,000
row 13 : 3 December 1898 | St. Bernard's | H | 5–2 | 3,000
row 14 : 17 December 1898 | Dundee | H | 7–0 | 3,000
row 15 : 24 December 1898 | Hibernian | H | 10–0 | 7,000
row 16 : 31 December 1898 | St. Mirren | H | 3–2 | 5,000
row 17 : 2 January 1899 | Celtic | H | 4–1 | 30,000
row 18 : 7 January 1899 | Clyde | A | 3–0 | 4,000 [/Table] Answer this question based on the above table: What is the result of the match with clyde as the opponent in the h venue?

Answer: 8–0
[Table] header: Date | Opponent | Venue | Result | Attendance row 1 : 20 August 1898 | Partick Thistle | H | 6–2 | 7,000
row 2 : 27 August 1898 | St. Mirren | A | 3–1 | ||A.Smith, Hamilton, McP
row 3 : 3 September 1898 | Heart of Midlothian | A | 3–2 | 17,500
row 4 : 10 September 1898 | Third Lanark | H | 4–1 | 18,000
row 5 : 19 September 1898 | St. Bernard's | A | 2–0 | 8,000
row 6 : 24 September 1898 | Celtic | A | 4–0 | 45,000
row 7 : 26 September 1898 | Third Lanark | A | 3–2 | 14,000
row 8 : 1 October 1898 | Heart of Midlothian | H | 3–1 | 25,000
row 9 : 8 October 1898 | Dundee | A | 2–1 | 7,500
row 10 : 5 November 1898 | Partick Thistle | A | 5–0 | 5,000
row 11 : 19 November 1898 | Hibernian | A | 4–3 | 10,000
row 12 : 26 November 1898 | Clyde | H | 8–0 | 4,000
row 13 : 3 December 1898 | St. Bernard's | H | 5–2 | 3,000
row 14 : 17 December 1898 | Dundee | H | 7–0 | 3,000
row 15 : 24 December 1898 | Hibernian | H | 10–0 | 7,000
row 16 : 31 December 1898 | St. Mirren | H | 3–2 | 5,000
row 17 : 2 January 1899 | Celtic | H | 4–1 | 30,000
row 18 : 7 January 1899 | Clyde | A | 3–0 | 4,000 [/Table] Answer this question based on the above table: What is the attendance on 24 December 1898?

Answer: 7000.0
[Table] header: Date | Opponent | Venue | Result | Attendance row 1 : 20 August 1898 | Partick Thistle | H | 6–2 | 7,000
row 2 : 27 August 1898 | St. Mirren | A | 3–1 | ||A.Smith, Hamilton, McP
row 3 : 3 September 1898 | Heart of Midlothian | A | 3–2 | 17,500
row 4 : 10 September 1898 | Third Lanark | H | 4–1 | 18,000
row 5 : 19 September 1898 | St. Bernard's | A | 2–0 | 8,000
row 6 : 24 September 1898 | Celtic | A | 4–0 | 45,000
row 7 : 26 September 1898 | Third Lanark | A | 3–2 | 14,000
row 8 : 1 October 1898 | Heart of Midlothian | H | 3–1 | 25,000
row 9 : 8 October 1898 | Dundee | A | 2–1 | 7,500
row 10 : 5 November 1898 | Partick Thistle | A | 5–0 | 5,000
row 11 : 19 November 1898 | Hibernian | A | 4–3 | 10,000
row 12 : 26 November 1898 | Clyde | H | 8–0 | 4,000
row 13 : 3 December 1898 | St. Bernard's | H | 5–2 | 3,000
row 14 : 17 December 1898 | Dundee | H | 7–0 | 3,000
row 15 : 24 December 1898 | Hibernian | H | 10–0 | 7,000
row 16 : 31 December 1898 | St. Mirren | H | 3–2 | 5,000
row 17 : 2 January 1899 | Celtic | H | 4–1 | 30,000
row 18 : 7 January 1899 | Clyde | A | 3–0 | 4,000 [/Table] Answer this question based on the above table: What was the date of the match at venue A with the celtic as the opponent?

Answer: 24 September 1898
[Table] header: Date | Opponent | Venue | Result | Attendance row 1 : 20 August 1898 | Partick Thistle | H | 6–2 | 7,000
row 2 : 27 August 1898 | St. Mirren | A | 3–1 | ||A.Smith, Hamilton, McP
row 3 : 3 September 1898 | Heart of Midlothian | A | 3–2 | 17,500
row 4 : 10 September 1898 | Third Lanark | H | 4–1 | 18,000
row 5 : 19 September 1898 | St. Bernard's | A | 2–0 | 8,000
row 6 : 24 September 1898 | Celtic | A | 4–0 | 45,000
row 7 : 26 September 1898 | Third Lanark | A | 3–2 | 14,000
row 8 : 1 October 1898 | Heart of Midlothian | H | 3–1 | 25,000
row 9 : 8 October 1898 | Dundee | A | 2–1 | 7,500
row 10 : 5 November 1898 | Partick Thistle | A | 5–0 | 5,000
row 11 : 19 November 1898 | Hibernian | A | 4–3 | 10,000
row 12 : 26 November 1898 | Clyde | H | 8–0 | 4,000
row 13 : 3 December 1898 | St. Bernard's | H | 5–2 | 3,000
row 14 : 17 December 1898 | Dundee | H | 7–0 | 3,000
row 15 : 24 December 1898 | Hibernian | H | 10–0 | 7,000
row 16 : 31 December 1898 | St. Mirren | H | 3–2 | 5,000
row 17 : 2 January 1899 | Celtic | H | 4–1 | 30,000
row 18 : 7 January 1899 | Clyde | A | 3–0 | 4,000 [/Table] Answer this question based on the above table: Who is the opponent of the match on 3 December 1898 in venue h?

Answer: St. Bernard's
[Table] header: Heat | Lane | Name | Country | Mark | React row 1 : 1 | 4 | Susanna Kallur | Sweden | 7.87 | 0.259
row 2 : 1 | 8 | Lacena Golding-Clarke | Jamaica | 8.01 | 0.230
row 3 : 1 | 2 | Eline Berings | Belgium | 8.05 NR | 0.151
row 4 : 1 | 6 | Angela Whyte | Canada | 8.16 | 0.221
row 5 : 1 | 7 | Reïna-Flor Okori | France | 8.18 | 0.256
row 6 : 1 | 5 | Glory Alozie | Spain | 8.19 SB | 0.173
row 7 : 1 | 3 | Esen Kizildag | Turkey | 8.33 SB | 0.277
row 8 : 2 | 2 | Nevin Yanit | Turkey | 8.09 | 0.255
row 9 : 2 | 4 | Yuliya Kondakova | Russia | 8.13 | 0.187
row 10 : 2 | 5 | Cindy Billaud | France | 8.20 | 0.151
row 11 : 2 | 3 | Yauhenia Valadzko | Belarus | 8.27 | 0.257
row 12 : 2 | 7 | Toyin Augustus | Nigeria | 8.46 | 0.233
row 13 : 2 | 8 | Priscilla Lopes- | Canada | 8.66 | 0.206
row 14 : 2 | 6 | Fadwa Al Bouza | Syria | 9.06 SB | 0.272
row 15 : 3 | 2 | Anay Tejeda | Cuba | 7.93 | 0.133
row 16 : 3 | 5 | Micol Cattaneo | Italy | 8.02 PB | 0.149
row 17 : 3 | 3 | Candice Davis | United States | 8.02 | 0.149
row 18 : 3 | 4 | Miriam Bobková | Slovakia | 8.08 | 0.181
row 19 : 3 | 7 | Kia Davis | Liberia | 8.14 | 0.195
row 20 : 3 | 6 | Flóra Redoúmi | Greece | DNF | 0.242
row 21 : 4 | 7 | Josephine Onyia | Spain | 7.84 PB | 0.171
row 22 : 4 | 4 | LoLo Jones | United States | 7.96 | 0.184
row 23 : 4 | 5 | Aleksandra Antonova | Russia | 8.05 | 0.123
row 24 : 4 | 8 | Sarah Claxton | United Kingdom | 8.12 | 0.207
row 25 : 4 | 6 | Yevgeniya Snihur | Ukraine | 8.16 | 0.134
row 26 : 4 | 3 | Denisa Šcerbová | Czech Republic | 8.42 | 0.235
row 27 : 4 | 2 | Anne Møller | Denmark | 8.54 | 0.256 [/Table] Answer this question based on the above table: What country does Glory Alozie play for?

Answer: Spain
[Table] header: Heat | Lane | Name | Country | Mark | React row 1 : 1 | 4 | Susanna Kallur | Sweden | 7.87 | 0.259
row 2 : 1 | 8 | Lacena Golding-Clarke | Jamaica | 8.01 | 0.230
row 3 : 1 | 2 | Eline Berings | Belgium | 8.05 NR | 0.151
row 4 : 1 | 6 | Angela Whyte | Canada | 8.16 | 0.221
row 5 : 1 | 7 | Reïna-Flor Okori | France | 8.18 | 0.256
row 6 : 1 | 5 | Glory Alozie | Spain | 8.19 SB | 0.173
row 7 : 1 | 3 | Esen Kizildag | Turkey | 8.33 SB | 0.277
row 8 : 2 | 2 | Nevin Yanit | Turkey | 8.09 | 0.255
row 9 : 2 | 4 | Yuliya Kondakova | Russia | 8.13 | 0.187
row 10 : 2 | 5 | Cindy Billaud | France | 8.20 | 0.151
row 11 : 2 | 3 | Yauhenia Valadzko | Belarus | 8.27 | 0.257
row 12 : 2 | 7 | Toyin Augustus | Nigeria | 8.46 | 0.233
row 13 : 2 | 8 | Priscilla Lopes- | Canada | 8.66 | 0.206
row 14 : 2 | 6 | Fadwa Al Bouza | Syria | 9.06 SB | 0.272
row 15 : 3 | 2 | Anay Tejeda | Cuba | 7.93 | 0.133
row 16 : 3 | 5 | Micol Cattaneo | Italy | 8.02 PB | 0.149
row 17 : 3 | 3 | Candice Davis | United States | 8.02 | 0.149
row 18 : 3 | 4 | Miriam Bobková | Slovakia | 8.08 | 0.181
row 19 : 3 | 7 | Kia Davis | Liberia | 8.14 | 0.195
row 20 : 3 | 6 | Flóra Redoúmi | Greece | DNF | 0.242
row 21 : 4 | 7 | Josephine Onyia | Spain | 7.84 PB | 0.171
row 22 : 4 | 4 | LoLo Jones | United States | 7.96 | 0.184
row 23 : 4 | 5 | Aleksandra Antonova | Russia | 8.05 | 0.123
row 24 : 4 | 8 | Sarah Claxton | United Kingdom | 8.12 | 0.207
row 25 : 4 | 6 | Yevgeniya Snihur | Ukraine | 8.16 | 0.134
row 26 : 4 | 3 | Denisa Šcerbová | Czech Republic | 8.42 | 0.235
row 27 : 4 | 2 | Anne Møller | Denmark | 8.54 | 0.256 [/Table] Answer this question based on the above table: In what country did fadwa al bouza have larger than 0.257 react score?

Answer: Syria
[Table] header: Place | Player | Country | Score | To par | Money ( $ ) row 1 : T1 | Lloyd Mangrum | United States | 74-70-68-72=2 | –4 | Playoff
row 2 : T1 | Vic Ghezzi | United States | 71-69-72-72=2 | –4 | Playoff
row 3 : T1 | Byron Nelson | United States | 71-71-69-73=2 | –4 | Playoff
row 4 : T4 | Herman Barron | United States | 72-72-72-69=285 | –3 | 550
row 5 : T4 | Ben Hogan | United States | 72-68-73-72=285 | –3 | 550
row 6 : T6 | Jimmy Demaret | United States | 71-74-73-68=2 | –2 | 350
row 7 : T6 | Ed Oliver | United States | 71-71-74-70=2 | –2 | 350
row 8 : T8 | Chick Harbert | United States | 72-78-67-70=287 | –1 | 225
row 9 : T8 | Dick Metz | United States | 76-70-72-69=287 | –1 | 225
row 10 : T10 | Dutch Harrison | United States | 75-71-72-70=288 | E | 175
row 11 : T10 | Lawson Little | United States | 72-69-76-71=288 | E | 175 [/Table] Answer this question based on the above table: What is Place, when Score is "75-71-72-70=288"?

Answer: T10
[Table] header: Place | Player | Country | Score | To par | Money ( $ ) row 1 : T1 | Lloyd Mangrum | United States | 74-70-68-72=2 | –4 | Playoff
row 2 : T1 | Vic Ghezzi | United States | 71-69-72-72=2 | –4 | Playoff
row 3 : T1 | Byron Nelson | United States | 71-71-69-73=2 | –4 | Playoff
row 4 : T4 | Herman Barron | United States | 72-72-72-69=285 | –3 | 550
row 5 : T4 | Ben Hogan | United States | 72-68-73-72=285 | –3 | 550
row 6 : T6 | Jimmy Demaret | United States | 71-74-73-68=2 | –2 | 350
row 7 : T6 | Ed Oliver | United States | 71-71-74-70=2 | –2 | 350
row 8 : T8 | Chick Harbert | United States | 72-78-67-70=287 | –1 | 225
row 9 : T8 | Dick Metz | United States | 76-70-72-69=287 | –1 | 225
row 10 : T10 | Dutch Harrison | United States | 75-71-72-70=288 | E | 175
row 11 : T10 | Lawson Little | United States | 72-69-76-71=288 | E | 175 [/Table] Answer this question based on the above table: What is Money ( $ ), when Score is "75-71-72-70=288"?

Answer: 175.0
[Table] header: Place | Player | Country | Score | To par | Money ( $ ) row 1 : T1 | Lloyd Mangrum | United States | 74-70-68-72=2 | –4 | Playoff
row 2 : T1 | Vic Ghezzi | United States | 71-69-72-72=2 | –4 | Playoff
row 3 : T1 | Byron Nelson | United States | 71-71-69-73=2 | –4 | Playoff
row 4 : T4 | Herman Barron | United States | 72-72-72-69=285 | –3 | 550
row 5 : T4 | Ben Hogan | United States | 72-68-73-72=285 | –3 | 550
row 6 : T6 | Jimmy Demaret | United States | 71-74-73-68=2 | –2 | 350
row 7 : T6 | Ed Oliver | United States | 71-71-74-70=2 | –2 | 350
row 8 : T8 | Chick Harbert | United States | 72-78-67-70=287 | –1 | 225
row 9 : T8 | Dick Metz | United States | 76-70-72-69=287 | –1 | 225
row 10 : T10 | Dutch Harrison | United States | 75-71-72-70=288 | E | 175
row 11 : T10 | Lawson Little | United States | 72-69-76-71=288 | E | 175 [/Table] Answer this question based on the above table: What is Country, when Player is "Jimmy Demaret"?

Answer: United States
[Table] header: Place | Player | Country | Score | To par | Money ( $ ) row 1 : T1 | Lloyd Mangrum | United States | 74-70-68-72=2 | –4 | Playoff
row 2 : T1 | Vic Ghezzi | United States | 71-69-72-72=2 | –4 | Playoff
row 3 : T1 | Byron Nelson | United States | 71-71-69-73=2 | –4 | Playoff
row 4 : T4 | Herman Barron | United States | 72-72-72-69=285 | –3 | 550
row 5 : T4 | Ben Hogan | United States | 72-68-73-72=285 | –3 | 550
row 6 : T6 | Jimmy Demaret | United States | 71-74-73-68=2 | –2 | 350
row 7 : T6 | Ed Oliver | United States | 71-71-74-70=2 | –2 | 350
row 8 : T8 | Chick Harbert | United States | 72-78-67-70=287 | –1 | 225
row 9 : T8 | Dick Metz | United States | 76-70-72-69=287 | –1 | 225
row 10 : T10 | Dutch Harrison | United States | 75-71-72-70=288 | E | 175
row 11 : T10 | Lawson Little | United States | 72-69-76-71=288 | E | 175 [/Table] Answer this question based on the above table: What is Player, when Score is "71-69-72-72=284"?

Answer: none