sail/symbolic-instruction-tuning huggingface dataset:
Please answer a question about the following table 

header: Rank | Pair | Country | Athletes | Time | Deficit row 1 : nan | 3 | Netherlands | Sven Kramer Koen Verweij | 3:41.43 | nan
row 2 : nan | 4 | United States | Shani Davis Brian Hansen Jonathan Kuck | 3:43.42 | 1.99
row 3 : nan | 2 | Russia | Ivan Skobrev Denis Yus | 3:43.62 | 2.19
row 4 : 4.0 | 1 | Canada | Denny Morrison Mathieu Giro | 3:44.38 | 2.95
row 5 : 5.0 | 1 | Norway | Sverre Lunde Pedersen | 3:46.33 | 4.9
row 6 : 6.0 | 3 | Germany | Patrick Beckert Marco Weber Robert Leh | 3:46.48 | 5.05
row 7 : 7.0 | 4 | South Korea | Lee Seung-hoon Joo Hy | 3:47.18 | 5.75
row 8 : 8.0 | 2 | Poland | Zbigniew Brodka Kon | 3:47.72 | 6.29

what are all the countries? what are all the times? who had the longest time?

Answer: Poland
Please answer a question about the following table 

header: Rank | Pair | Country | Athletes | Time | Deficit row 1 : nan | 3 | Netherlands | Sven Kramer Koen Verweij | 3:41.43 | nan
row 2 : nan | 4 | United States | Shani Davis Brian Hansen Jonathan Kuck | 3:43.42 | 1.99
row 3 : nan | 2 | Russia | Ivan Skobrev Denis Yus | 3:43.62 | 2.19
row 4 : 4.0 | 1 | Canada | Denny Morrison Mathieu Giro | 3:44.38 | 2.95
row 5 : 5.0 | 1 | Norway | Sverre Lunde Pedersen | 3:46.33 | 4.9
row 6 : 6.0 | 3 | Germany | Patrick Beckert Marco Weber Robert Leh | 3:46.48 | 5.05
row 7 : 7.0 | 4 | South Korea | Lee Seung-hoon Joo Hy | 3:47.18 | 5.75
row 8 : 8.0 | 2 | Poland | Zbigniew Brodka Kon | 3:47.72 | 6.29

what are all of the countries?

Answer: Netherlands, United States, Russia, Canada, Norway, Germany, South Korea, Poland
Please answer a question about the following table 

header: Rank | Pair | Country | Athletes | Time | Deficit row 1 : nan | 3 | Netherlands | Sven Kramer Koen Verweij | 3:41.43 | nan
row 2 : nan | 4 | United States | Shani Davis Brian Hansen Jonathan Kuck | 3:43.42 | 1.99
row 3 : nan | 2 | Russia | Ivan Skobrev Denis Yus | 3:43.62 | 2.19
row 4 : 4.0 | 1 | Canada | Denny Morrison Mathieu Giro | 3:44.38 | 2.95
row 5 : 5.0 | 1 | Norway | Sverre Lunde Pedersen | 3:46.33 | 4.9
row 6 : 6.0 | 3 | Germany | Patrick Beckert Marco Weber Robert Leh | 3:46.48 | 5.05
row 7 : 7.0 | 4 | South Korea | Lee Seung-hoon Joo Hy | 3:47.18 | 5.75
row 8 : 8.0 | 2 | Poland | Zbigniew Brodka Kon | 3:47.72 | 6.29

what are all of the countries? and their times?

Answer: 3:41.43, 3:43.42, 3:43.62, 3:44.38, 3:46.33, 3:46.48, 3:47.18, 3:47.72
Please answer a question about the following table 

header: Rank | Pair | Country | Athletes | Time | Deficit row 1 : nan | 3 | Netherlands | Sven Kramer Koen Verweij | 3:41.43 | nan
row 2 : nan | 4 | United States | Shani Davis Brian Hansen Jonathan Kuck | 3:43.42 | 1.99
row 3 : nan | 2 | Russia | Ivan Skobrev Denis Yus | 3:43.62 | 2.19
row 4 : 4.0 | 1 | Canada | Denny Morrison Mathieu Giro | 3:44.38 | 2.95
row 5 : 5.0 | 1 | Norway | Sverre Lunde Pedersen | 3:46.33 | 4.9
row 6 : 6.0 | 3 | Germany | Patrick Beckert Marco Weber Robert Leh | 3:46.48 | 5.05
row 7 : 7.0 | 4 | South Korea | Lee Seung-hoon Joo Hy | 3:47.18 | 5.75
row 8 : 8.0 | 2 | Poland | Zbigniew Brodka Kon | 3:47.72 | 6.29

what are all of the countries? and their times? which country took the longest?

Answer: Poland
Please answer a question about the following table 

header: Name | League | FA Cup | League Cup | JP Trophy | Total row 1 : Scot Bennett | 5 | 0 | 0 | 0 | 5
row 2 : Danny Coles | 3 | 0 | 0 | 0 | 3
row 3 : Liam Sercombe | 1 | 0 | 0 | 0 | 1
row 4 : Alan Gow | 4 | 0 | 0 | 0 | 4
row 5 : John O'Flynn | 11 | 0 | 1 | 0 | 12
row 6 : Guillem Bauza | 2 | 0 | 0 | 0 | 2
row 7 : Jimmy Keohane | 3 | 0 | 0 | 0 | 3
row 8 : Pat Baldwin | 1 | 0 | 0 | 0 | 1
row 9 : Jamie Cureton | 20 | 0 | 0 | 0 | 20
row 10 : Arron Davies | 3 | 0 | 0 | 0 | 3
row 11 : Jake Gosling | 1 | 0 | 0 | 0 | 1
row 12 : OWN GOALS | 0 | 0 | 0 | 0 | 0
row 13 : Total | 0 | 0 | 0 | 0 | 0

who are all of the players? how many goals did they score in total?

Answer: 5, 3, 1, 4, 12, 2, 3, 1, 20, 3, 1, 0
Please answer a question about the following table 

header: Name | League | FA Cup | League Cup | JP Trophy | Total row 1 : Scot Bennett | 5 | 0 | 0 | 0 | 5
row 2 : Danny Coles | 3 | 0 | 0 | 0 | 3
row 3 : Liam Sercombe | 1 | 0 | 0 | 0 | 1
row 4 : Alan Gow | 4 | 0 | 0 | 0 | 4
row 5 : John O'Flynn | 11 | 0 | 1 | 0 | 12
row 6 : Guillem Bauza | 2 | 0 | 0 | 0 | 2
row 7 : Jimmy Keohane | 3 | 0 | 0 | 0 | 3
row 8 : Pat Baldwin | 1 | 0 | 0 | 0 | 1
row 9 : Jamie Cureton | 20 | 0 | 0 | 0 | 20
row 10 : Arron Davies | 3 | 0 | 0 | 0 | 3
row 11 : Jake Gosling | 1 | 0 | 0 | 0 | 1
row 12 : OWN GOALS | 0 | 0 | 0 | 0 | 0
row 13 : Total | 0 | 0 | 0 | 0 | 0

who are all of the players? how many goals did they score in total? who scored the highest?

Answer: Jamie Cureton
Please answer a question about the following table 

header: Name | League | FA Cup | League Cup | JP Trophy | Total row 1 : Scot Bennett | 5 | 0 | 0 | 0 | 5
row 2 : Danny Coles | 3 | 0 | 0 | 0 | 3
row 3 : Liam Sercombe | 1 | 0 | 0 | 0 | 1
row 4 : Alan Gow | 4 | 0 | 0 | 0 | 4
row 5 : John O'Flynn | 11 | 0 | 1 | 0 | 12
row 6 : Guillem Bauza | 2 | 0 | 0 | 0 | 2
row 7 : Jimmy Keohane | 3 | 0 | 0 | 0 | 3
row 8 : Pat Baldwin | 1 | 0 | 0 | 0 | 1
row 9 : Jamie Cureton | 20 | 0 | 0 | 0 | 20
row 10 : Arron Davies | 3 | 0 | 0 | 0 | 3
row 11 : Jake Gosling | 1 | 0 | 0 | 0 | 1
row 12 : OWN GOALS | 0 | 0 | 0 | 0 | 0
row 13 : Total | 0 | 0 | 0 | 0 | 0

who competed in the 2012-13 exeter city f.c. season?

Answer: Scot Bennett, Danny Coles, Liam Sercombe, Alan Gow, John O'Flynn, Guillem Bauza, Jimmy Keohane, Pat Baldwin, Jamie Cureton, Arron Davies, Jake Gosling, OWN GOALS
Please answer a question about the following table 

header: Name | League | FA Cup | League Cup | JP Trophy | Total row 1 : Scot Bennett | 5 | 0 | 0 | 0 | 5
row 2 : Danny Coles | 3 | 0 | 0 | 0 | 3
row 3 : Liam Sercombe | 1 | 0 | 0 | 0 | 1
row 4 : Alan Gow | 4 | 0 | 0 | 0 | 4
row 5 : John O'Flynn | 11 | 0 | 1 | 0 | 12
row 6 : Guillem Bauza | 2 | 0 | 0 | 0 | 2
row 7 : Jimmy Keohane | 3 | 0 | 0 | 0 | 3
row 8 : Pat Baldwin | 1 | 0 | 0 | 0 | 1
row 9 : Jamie Cureton | 20 | 0 | 0 | 0 | 20
row 10 : Arron Davies | 3 | 0 | 0 | 0 | 3
row 11 : Jake Gosling | 1 | 0 | 0 | 0 | 1
row 12 : OWN GOALS | 0 | 0 | 0 | 0 | 0
row 13 : Total | 0 | 0 | 0 | 0 | 0

who competed in the 2012-13 exeter city f.c. season? which of those players scored a goal?

Answer: 5, 3, 1, 4, 12, 2, 3, 1, 20, 3, 1
Please answer a question about the following table 

header: Name | League | FA Cup | League Cup | JP Trophy | Total row 1 : Scot Bennett | 5 | 0 | 0 | 0 | 5
row 2 : Danny Coles | 3 | 0 | 0 | 0 | 3
row 3 : Liam Sercombe | 1 | 0 | 0 | 0 | 1
row 4 : Alan Gow | 4 | 0 | 0 | 0 | 4
row 5 : John O'Flynn | 11 | 0 | 1 | 0 | 12
row 6 : Guillem Bauza | 2 | 0 | 0 | 0 | 2
row 7 : Jimmy Keohane | 3 | 0 | 0 | 0 | 3
row 8 : Pat Baldwin | 1 | 0 | 0 | 0 | 1
row 9 : Jamie Cureton | 20 | 0 | 0 | 0 | 20
row 10 : Arron Davies | 3 | 0 | 0 | 0 | 3
row 11 : Jake Gosling | 1 | 0 | 0 | 0 | 1
row 12 : OWN GOALS | 0 | 0 | 0 | 0 | 0
row 13 : Total | 0 | 0 | 0 | 0 | 0

who competed in the 2012-13 exeter city f.c. season? which of those players scored a goal? of those, who was the only one to score 20 goals?

Answer: Jamie Cureton
Please answer a question about the following table 

header: Name | League | FA Cup | League Cup | JP Trophy | Total row 1 : Scot Bennett | 5 | 0 | 0 | 0 | 5
row 2 : Danny Coles | 3 | 0 | 0 | 0 | 3
row 3 : Liam Sercombe | 1 | 0 | 0 | 0 | 1
row 4 : Alan Gow | 4 | 0 | 0 | 0 | 4
row 5 : John O'Flynn | 11 | 0 | 1 | 0 | 12
row 6 : Guillem Bauza | 2 | 0 | 0 | 0 | 2
row 7 : Jimmy Keohane | 3 | 0 | 0 | 0 | 3
row 8 : Pat Baldwin | 1 | 0 | 0 | 0 | 1
row 9 : Jamie Cureton | 20 | 0 | 0 | 0 | 20
row 10 : Arron Davies | 3 | 0 | 0 | 0 | 3
row 11 : Jake Gosling | 1 | 0 | 0 | 0 | 1
row 12 : OWN GOALS | 0 | 0 | 0 | 0 | 0
row 13 : Total | 0 | 0 | 0 | 0 | 0

who are the players in the 2012-13 exeter city f.c. season?

Answer: Scot Bennett, Danny Coles, Liam Sercombe, Alan Gow, John O'Flynn, Guillem Bauza, Jimmy Keohane, Pat Baldwin, Jamie Cureton, Arron Davies, Jake Gosling
Please answer a question about the following table 

header: Name | League | FA Cup | League Cup | JP Trophy | Total row 1 : Scot Bennett | 5 | 0 | 0 | 0 | 5
row 2 : Danny Coles | 3 | 0 | 0 | 0 | 3
row 3 : Liam Sercombe | 1 | 0 | 0 | 0 | 1
row 4 : Alan Gow | 4 | 0 | 0 | 0 | 4
row 5 : John O'Flynn | 11 | 0 | 1 | 0 | 12
row 6 : Guillem Bauza | 2 | 0 | 0 | 0 | 2
row 7 : Jimmy Keohane | 3 | 0 | 0 | 0 | 3
row 8 : Pat Baldwin | 1 | 0 | 0 | 0 | 1
row 9 : Jamie Cureton | 20 | 0 | 0 | 0 | 20
row 10 : Arron Davies | 3 | 0 | 0 | 0 | 3
row 11 : Jake Gosling | 1 | 0 | 0 | 0 | 1
row 12 : OWN GOALS | 0 | 0 | 0 | 0 | 0
row 13 : Total | 0 | 0 | 0 | 0 | 0

who are the players in the 2012-13 exeter city f.c. season? which of those scored at least 10 points?

Answer: John O'Flynn, Jamie Cureton
Please answer a question about the following table 

header: Name | League | FA Cup | League Cup | JP Trophy | Total row 1 : Scot Bennett | 5 | 0 | 0 | 0 | 5
row 2 : Danny Coles | 3 | 0 | 0 | 0 | 3
row 3 : Liam Sercombe | 1 | 0 | 0 | 0 | 1
row 4 : Alan Gow | 4 | 0 | 0 | 0 | 4
row 5 : John O'Flynn | 11 | 0 | 1 | 0 | 12
row 6 : Guillem Bauza | 2 | 0 | 0 | 0 | 2
row 7 : Jimmy Keohane | 3 | 0 | 0 | 0 | 3
row 8 : Pat Baldwin | 1 | 0 | 0 | 0 | 1
row 9 : Jamie Cureton | 20 | 0 | 0 | 0 | 20
row 10 : Arron Davies | 3 | 0 | 0 | 0 | 3
row 11 : Jake Gosling | 1 | 0 | 0 | 0 | 1
row 12 : OWN GOALS | 0 | 0 | 0 | 0 | 0
row 13 : Total | 0 | 0 | 0 | 0 | 0

who are the players in the 2012-13 exeter city f.c. season? which of those scored at least 10 points? which of those 2 had the most points?

Answer: Jamie Cureton
Please answer a question about the following table 

header: Rank | Country | Box Office | Year | Box office from national films row 1 : 1 | Canada/United States | $10.8 billion | 2012 | -
row 2 : 2 | China | $3.6 billion | 2013 | 59% (2013)
row 3 : 3 | Japan | $1.88 billion | 2013 | 61% (2013)
row 4 : 4 | United Kingdom | $1.7 billion | 2012 | 36.1% (2011)
row 5 : 5 | France | $1.7 billion | 2012 | 33.3% (2013)
row 6 : 6 | South Korea | $1.47 billion | 2013 | 59.7% (2013)
row 7 : 7 | India | $1.4 billion | 2012 | -
row 8 : 8 | Germany | $1.3 billion | 2012 | -
row 9 : 9 | Russia | $1.2 billion | 2012 | -
row 10 : 10 | Australia | $1.2 billion | 2012 | 4.1% (2011)
row 11 : 11 | Italy | $0.84 billion | 2013 | 30% (2013)
row 12 : 12 | Brazil | $0.72 billion | 2013 | 17% (2013)
row 13 : - | World | $34.7 billion | 2012 | -

which were the amounts of revenue earned?

Answer: $10.8 billion, $3.6 billion, $1.88 billion, $1.7 billion, $1.7 billion, $1.47 billion, $1.4 billion, $1.3 billion, $1.2 billion, $1.2 billion, $0.84 billion, $0.72 billion
Please answer a question about the following table 

header: Rank | Country | Box Office | Year | Box office from national films row 1 : 1 | Canada/United States | $10.8 billion | 2012 | -
row 2 : 2 | China | $3.6 billion | 2013 | 59% (2013)
row 3 : 3 | Japan | $1.88 billion | 2013 | 61% (2013)
row 4 : 4 | United Kingdom | $1.7 billion | 2012 | 36.1% (2011)
row 5 : 5 | France | $1.7 billion | 2012 | 33.3% (2013)
row 6 : 6 | South Korea | $1.47 billion | 2013 | 59.7% (2013)
row 7 : 7 | India | $1.4 billion | 2012 | -
row 8 : 8 | Germany | $1.3 billion | 2012 | -
row 9 : 9 | Russia | $1.2 billion | 2012 | -
row 10 : 10 | Australia | $1.2 billion | 2012 | 4.1% (2011)
row 11 : 11 | Italy | $0.84 billion | 2013 | 30% (2013)
row 12 : 12 | Brazil | $0.72 billion | 2013 | 17% (2013)
row 13 : - | World | $34.7 billion | 2012 | -

which were the amounts of revenue earned? which of these were the highest amount?

Answer: $10.8 billion
Please answer a question about the following table 

header: Rank | Country | Box Office | Year | Box office from national films row 1 : 1 | Canada/United States | $10.8 billion | 2012 | -
row 2 : 2 | China | $3.6 billion | 2013 | 59% (2013)
row 3 : 3 | Japan | $1.88 billion | 2013 | 61% (2013)
row 4 : 4 | United Kingdom | $1.7 billion | 2012 | 36.1% (2011)
row 5 : 5 | France | $1.7 billion | 2012 | 33.3% (2013)
row 6 : 6 | South Korea | $1.47 billion | 2013 | 59.7% (2013)
row 7 : 7 | India | $1.4 billion | 2012 | -
row 8 : 8 | Germany | $1.3 billion | 2012 | -
row 9 : 9 | Russia | $1.2 billion | 2012 | -
row 10 : 10 | Australia | $1.2 billion | 2012 | 4.1% (2011)
row 11 : 11 | Italy | $0.84 billion | 2013 | 30% (2013)
row 12 : 12 | Brazil | $0.72 billion | 2013 | 17% (2013)
row 13 : - | World | $34.7 billion | 2012 | -

which were the amounts of revenue earned? which of these were the highest amount? which country was this made in?

Answer: Canada/United States
Please answer a question about the following table 

header: Rank | Country | Box Office | Year | Box office from national films row 1 : 1 | Canada/United States | $10.8 billion | 2012 | -
row 2 : 2 | China | $3.6 billion | 2013 | 59% (2013)
row 3 : 3 | Japan | $1.88 billion | 2013 | 61% (2013)
row 4 : 4 | United Kingdom | $1.7 billion | 2012 | 36.1% (2011)
row 5 : 5 | France | $1.7 billion | 2012 | 33.3% (2013)
row 6 : 6 | South Korea | $1.47 billion | 2013 | 59.7% (2013)
row 7 : 7 | India | $1.4 billion | 2012 | -
row 8 : 8 | Germany | $1.3 billion | 2012 | -
row 9 : 9 | Russia | $1.2 billion | 2012 | -
row 10 : 10 | Australia | $1.2 billion | 2012 | 4.1% (2011)
row 11 : 11 | Italy | $0.84 billion | 2013 | 30% (2013)
row 12 : 12 | Brazil | $0.72 billion | 2013 | 17% (2013)
row 13 : - | World | $34.7 billion | 2012 | -

what countries had any box office revenue?

Answer: Canada/United States, China, Japan, United Kingdom, France, South Korea, India, Germany, Russia, Australia, Italy, Brazil
Please answer a question about the following table 

header: Rank | Country | Box Office | Year | Box office from national films row 1 : 1 | Canada/United States | $10.8 billion | 2012 | -
row 2 : 2 | China | $3.6 billion | 2013 | 59% (2013)
row 3 : 3 | Japan | $1.88 billion | 2013 | 61% (2013)
row 4 : 4 | United Kingdom | $1.7 billion | 2012 | 36.1% (2011)
row 5 : 5 | France | $1.7 billion | 2012 | 33.3% (2013)
row 6 : 6 | South Korea | $1.47 billion | 2013 | 59.7% (2013)
row 7 : 7 | India | $1.4 billion | 2012 | -
row 8 : 8 | Germany | $1.3 billion | 2012 | -
row 9 : 9 | Russia | $1.2 billion | 2012 | -
row 10 : 10 | Australia | $1.2 billion | 2012 | 4.1% (2011)
row 11 : 11 | Italy | $0.84 billion | 2013 | 30% (2013)
row 12 : 12 | Brazil | $0.72 billion | 2013 | 17% (2013)
row 13 : - | World | $34.7 billion | 2012 | -

what countries had any box office revenue? what were the box office revenue numbers represented?

Answer: $10.8 billion, $3.6 billion, $1.88 billion, $1.7 billion, $1.7 billion, $1.47 billion, $1.4 billion, $1.3 billion, $1.2 billion, $1.2 billion, $0.84 billion, $0.72 billion
Please answer a question about the following table 

header: Rank | Country | Box Office | Year | Box office from national films row 1 : 1 | Canada/United States | $10.8 billion | 2012 | -
row 2 : 2 | China | $3.6 billion | 2013 | 59% (2013)
row 3 : 3 | Japan | $1.88 billion | 2013 | 61% (2013)
row 4 : 4 | United Kingdom | $1.7 billion | 2012 | 36.1% (2011)
row 5 : 5 | France | $1.7 billion | 2012 | 33.3% (2013)
row 6 : 6 | South Korea | $1.47 billion | 2013 | 59.7% (2013)
row 7 : 7 | India | $1.4 billion | 2012 | -
row 8 : 8 | Germany | $1.3 billion | 2012 | -
row 9 : 9 | Russia | $1.2 billion | 2012 | -
row 10 : 10 | Australia | $1.2 billion | 2012 | 4.1% (2011)
row 11 : 11 | Italy | $0.84 billion | 2013 | 30% (2013)
row 12 : 12 | Brazil | $0.72 billion | 2013 | 17% (2013)
row 13 : - | World | $34.7 billion | 2012 | -

what countries had any box office revenue? what were the box office revenue numbers represented? of the box office revenues, which is the highest?

Answer: $10.8 billion
Please answer a question about the following table 

header: Rank | Country | Box Office | Year | Box office from national films row 1 : 1 | Canada/United States | $10.8 billion | 2012 | -
row 2 : 2 | China | $3.6 billion | 2013 | 59% (2013)
row 3 : 3 | Japan | $1.88 billion | 2013 | 61% (2013)
row 4 : 4 | United Kingdom | $1.7 billion | 2012 | 36.1% (2011)
row 5 : 5 | France | $1.7 billion | 2012 | 33.3% (2013)
row 6 : 6 | South Korea | $1.47 billion | 2013 | 59.7% (2013)
row 7 : 7 | India | $1.4 billion | 2012 | -
row 8 : 8 | Germany | $1.3 billion | 2012 | -
row 9 : 9 | Russia | $1.2 billion | 2012 | -
row 10 : 10 | Australia | $1.2 billion | 2012 | 4.1% (2011)
row 11 : 11 | Italy | $0.84 billion | 2013 | 30% (2013)
row 12 : 12 | Brazil | $0.72 billion | 2013 | 17% (2013)
row 13 : - | World | $34.7 billion | 2012 | -

what countries had any box office revenue? what were the box office revenue numbers represented? of the box office revenues, which is the highest? which country had $10.8 billion in box office revenue?

Answer: Canada/United States
Please answer a question about the following table 

header: Rank | Country | Box Office | Year | Box office from national films row 1 : 1 | Canada/United States | $10.8 billion | 2012 | -
row 2 : 2 | China | $3.6 billion | 2013 | 59% (2013)
row 3 : 3 | Japan | $1.88 billion | 2013 | 61% (2013)
row 4 : 4 | United Kingdom | $1.7 billion | 2012 | 36.1% (2011)
row 5 : 5 | France | $1.7 billion | 2012 | 33.3% (2013)
row 6 : 6 | South Korea | $1.47 billion | 2013 | 59.7% (2013)
row 7 : 7 | India | $1.4 billion | 2012 | -
row 8 : 8 | Germany | $1.3 billion | 2012 | -
row 9 : 9 | Russia | $1.2 billion | 2012 | -
row 10 : 10 | Australia | $1.2 billion | 2012 | 4.1% (2011)
row 11 : 11 | Italy | $0.84 billion | 2013 | 30% (2013)
row 12 : 12 | Brazil | $0.72 billion | 2013 | 17% (2013)
row 13 : - | World | $34.7 billion | 2012 | -

which countries are listed?

Answer: Canada/United States, China, Japan, United Kingdom, France, South Korea, India, Germany, Russia, Australia, Italy, Brazil
Please answer a question about the following table 

header: Rank | Country | Box Office | Year | Box office from national films row 1 : 1 | Canada/United States | $10.8 billion | 2012 | -
row 2 : 2 | China | $3.6 billion | 2013 | 59% (2013)
row 3 : 3 | Japan | $1.88 billion | 2013 | 61% (2013)
row 4 : 4 | United Kingdom | $1.7 billion | 2012 | 36.1% (2011)
row 5 : 5 | France | $1.7 billion | 2012 | 33.3% (2013)
row 6 : 6 | South Korea | $1.47 billion | 2013 | 59.7% (2013)
row 7 : 7 | India | $1.4 billion | 2012 | -
row 8 : 8 | Germany | $1.3 billion | 2012 | -
row 9 : 9 | Russia | $1.2 billion | 2012 | -
row 10 : 10 | Australia | $1.2 billion | 2012 | 4.1% (2011)
row 11 : 11 | Italy | $0.84 billion | 2013 | 30% (2013)
row 12 : 12 | Brazil | $0.72 billion | 2013 | 17% (2013)
row 13 : - | World | $34.7 billion | 2012 | -

which countries are listed? what is the box office amount for each?

Answer: $10.8 billion, $3.6 billion, $1.88 billion, $1.7 billion, $1.7 billion, $1.47 billion, $1.4 billion, $1.3 billion, $1.2 billion, $1.2 billion, $0.84 billion, $0.72 billion
Please answer a question about the following table 

header: Rank | Country | Box Office | Year | Box office from national films row 1 : 1 | Canada/United States | $10.8 billion | 2012 | -
row 2 : 2 | China | $3.6 billion | 2013 | 59% (2013)
row 3 : 3 | Japan | $1.88 billion | 2013 | 61% (2013)
row 4 : 4 | United Kingdom | $1.7 billion | 2012 | 36.1% (2011)
row 5 : 5 | France | $1.7 billion | 2012 | 33.3% (2013)
row 6 : 6 | South Korea | $1.47 billion | 2013 | 59.7% (2013)
row 7 : 7 | India | $1.4 billion | 2012 | -
row 8 : 8 | Germany | $1.3 billion | 2012 | -
row 9 : 9 | Russia | $1.2 billion | 2012 | -
row 10 : 10 | Australia | $1.2 billion | 2012 | 4.1% (2011)
row 11 : 11 | Italy | $0.84 billion | 2013 | 30% (2013)
row 12 : 12 | Brazil | $0.72 billion | 2013 | 17% (2013)
row 13 : - | World | $34.7 billion | 2012 | -

which countries are listed? what is the box office amount for each? which country had the highest amount?

Answer: Canada/United States
Please answer a question about the following table 

header: Clerk | Started | Finished | School (year) | Previous clerkship row 1 : Kenneth W. Dam | 1957 | 1958 | Chicago (1957) | none
row 2 : Alan C. Kohn | 1957 | 1958 | Wash U (1955) | none
row 3 : William C. Canby, Jr. | 1958 | 1959 | Minnesota (1956) | none
row 4 : Heywood H. Davis | 1958 | 1959 | Kansas (1958) | none
row 5 : Jerome B. Libin | 1959 | 1960 | Michigan (1959) | none
row 6 : Patrick F. McCartan | 1959 | 1960 | Notre Dame (1959) | none
row 7 : D. Lawrence Gunnels | 1961 | 1962 | Wash U (1960) | none

who are all of the listed clerks?

Answer: Kenneth W. Dam, Alan C. Kohn, William C. Canby, Jr., Heywood H. Davis, Jerome B. Libin, Patrick F. McCartan, D. Lawrence Gunnels
Please answer a question about the following table 

header: Clerk | Started | Finished | School (year) | Previous clerkship row 1 : Kenneth W. Dam | 1957 | 1958 | Chicago (1957) | none
row 2 : Alan C. Kohn | 1957 | 1958 | Wash U (1955) | none
row 3 : William C. Canby, Jr. | 1958 | 1959 | Minnesota (1956) | none
row 4 : Heywood H. Davis | 1958 | 1959 | Kansas (1958) | none
row 5 : Jerome B. Libin | 1959 | 1960 | Michigan (1959) | none
row 6 : Patrick F. McCartan | 1959 | 1960 | Notre Dame (1959) | none
row 7 : D. Lawrence Gunnels | 1961 | 1962 | Wash U (1960) | none

who are all of the listed clerks? when did they start?

Answer: 1957, 1957, 1958, 1958, 1959, 1959, 1961
Please answer a question about the following table 

header: Clerk | Started | Finished | School (year) | Previous clerkship row 1 : Kenneth W. Dam | 1957 | 1958 | Chicago (1957) | none
row 2 : Alan C. Kohn | 1957 | 1958 | Wash U (1955) | none
row 3 : William C. Canby, Jr. | 1958 | 1959 | Minnesota (1956) | none
row 4 : Heywood H. Davis | 1958 | 1959 | Kansas (1958) | none
row 5 : Jerome B. Libin | 1959 | 1960 | Michigan (1959) | none
row 6 : Patrick F. McCartan | 1959 | 1960 | Notre Dame (1959) | none
row 7 : D. Lawrence Gunnels | 1961 | 1962 | Wash U (1960) | none

who are all of the listed clerks? when did they start? what about just kenneth w. dam and william c. canby, jr.?

Answer: 1957, 1958
Please answer a question about the following table 

header: Clerk | Started | Finished | School (year) | Previous clerkship row 1 : Kenneth W. Dam | 1957 | 1958 | Chicago (1957) | none
row 2 : Alan C. Kohn | 1957 | 1958 | Wash U (1955) | none
row 3 : William C. Canby, Jr. | 1958 | 1959 | Minnesota (1956) | none
row 4 : Heywood H. Davis | 1958 | 1959 | Kansas (1958) | none
row 5 : Jerome B. Libin | 1959 | 1960 | Michigan (1959) | none
row 6 : Patrick F. McCartan | 1959 | 1960 | Notre Dame (1959) | none
row 7 : D. Lawrence Gunnels | 1961 | 1962 | Wash U (1960) | none

who are all of the listed clerks? when did they start? what about just kenneth w. dam and william c. canby, jr.? of the two clerks, which started first?

Answer: Kenneth W. Dam
Please answer a question about the following table 

header: Clerk | Started | Finished | School (year) | Previous clerkship row 1 : Kenneth W. Dam | 1957 | 1958 | Chicago (1957) | none
row 2 : Alan C. Kohn | 1957 | 1958 | Wash U (1955) | none
row 3 : William C. Canby, Jr. | 1958 | 1959 | Minnesota (1956) | none
row 4 : Heywood H. Davis | 1958 | 1959 | Kansas (1958) | none
row 5 : Jerome B. Libin | 1959 | 1960 | Michigan (1959) | none
row 6 : Patrick F. McCartan | 1959 | 1960 | Notre Dame (1959) | none
row 7 : D. Lawrence Gunnels | 1961 | 1962 | Wash U (1960) | none

who are the law clerks of the supreme court?

Answer: Kenneth W. Dam, Alan C. Kohn, William C. Canby, Jr., Heywood H. Davis, Jerome B. Libin, Patrick F. McCartan, D. Lawrence Gunnels
Please answer a question about the following table 

header: Clerk | Started | Finished | School (year) | Previous clerkship row 1 : Kenneth W. Dam | 1957 | 1958 | Chicago (1957) | none
row 2 : Alan C. Kohn | 1957 | 1958 | Wash U (1955) | none
row 3 : William C. Canby, Jr. | 1958 | 1959 | Minnesota (1956) | none
row 4 : Heywood H. Davis | 1958 | 1959 | Kansas (1958) | none
row 5 : Jerome B. Libin | 1959 | 1960 | Michigan (1959) | none
row 6 : Patrick F. McCartan | 1959 | 1960 | Notre Dame (1959) | none
row 7 : D. Lawrence Gunnels | 1961 | 1962 | Wash U (1960) | none

who are the law clerks of the supreme court? who started earliest?

Answer: Kenneth W. Dam
Please answer a question about the following table 

header: Clerk | Started | Finished | School (year) | Previous clerkship row 1 : Kenneth W. Dam | 1957 | 1958 | Chicago (1957) | none
row 2 : Alan C. Kohn | 1957 | 1958 | Wash U (1955) | none
row 3 : William C. Canby, Jr. | 1958 | 1959 | Minnesota (1956) | none
row 4 : Heywood H. Davis | 1958 | 1959 | Kansas (1958) | none
row 5 : Jerome B. Libin | 1959 | 1960 | Michigan (1959) | none
row 6 : Patrick F. McCartan | 1959 | 1960 | Notre Dame (1959) | none
row 7 : D. Lawrence Gunnels | 1961 | 1962 | Wash U (1960) | none

when did kenneth w. dam start?

Answer: 1957
Please answer a question about the following table 

header: Clerk | Started | Finished | School (year) | Previous clerkship row 1 : Kenneth W. Dam | 1957 | 1958 | Chicago (1957) | none
row 2 : Alan C. Kohn | 1957 | 1958 | Wash U (1955) | none
row 3 : William C. Canby, Jr. | 1958 | 1959 | Minnesota (1956) | none
row 4 : Heywood H. Davis | 1958 | 1959 | Kansas (1958) | none
row 5 : Jerome B. Libin | 1959 | 1960 | Michigan (1959) | none
row 6 : Patrick F. McCartan | 1959 | 1960 | Notre Dame (1959) | none
row 7 : D. Lawrence Gunnels | 1961 | 1962 | Wash U (1960) | none

when did kenneth w. dam start? when did william c. canby, jr. start?

Answer: 1958
Please answer a question about the following table 

header: Clerk | Started | Finished | School (year) | Previous clerkship row 1 : Kenneth W. Dam | 1957 | 1958 | Chicago (1957) | none
row 2 : Alan C. Kohn | 1957 | 1958 | Wash U (1955) | none
row 3 : William C. Canby, Jr. | 1958 | 1959 | Minnesota (1956) | none
row 4 : Heywood H. Davis | 1958 | 1959 | Kansas (1958) | none
row 5 : Jerome B. Libin | 1959 | 1960 | Michigan (1959) | none
row 6 : Patrick F. McCartan | 1959 | 1960 | Notre Dame (1959) | none
row 7 : D. Lawrence Gunnels | 1961 | 1962 | Wash U (1960) | none

when did kenneth w. dam start? when did william c. canby, jr. start? between dam and canby, jr., who started first?

Answer: Kenneth W. Dam
Please answer a question about the following table 

header: Name | Type | R.A. (J2000) | Dec. (J2000) | Redshift (km/s) | Apparent Magnitude row 1 : Camelopardalis A | Irr | 04h 26m 16.3s | +72deg 48' 21'' | -46 +- 1 | 14.8
row 2 : Camelopardalis B | Irr | 04h 53m 07.1s | +67deg 05' 57' | 77 | 16.1
row 3 : Cassiopeia 1 | dIrr | 02h 06m 02.8s | +68deg 59' 59' | 35 | 16.4
row 4 : IC 342 | SAB(rs)cd | 03h 46m 48.5s | +68deg 05' 46'' | 31 +- 3 | 9.1
row 5 : KK 35 | Irr | 03h 45m 12.6s | +67deg 51' 51'' | 105 +- 1 | 17.2
row 6 : NGC 1560 | SA(s)d | 04h 32m 49.1s | +71deg 52' 59'' | -36 +- 5 | 12.2
row 7 : NGC 1569 | Sbrst | 04h 30m 49.1s | +64deg 50' 52,6' | -104 +- 4 | 11,2
row 8 : UGCA 86 | Im | 03h 59m 50.5s | +67deg 08' 37'' | 67 +- 4 | 13.5
row 9 : UGCA 92 | Im | 04h 32m 04.9s | +63deg 36' 49.0' | -99 +- 5 | 13.8
row 10 : UGCA 105 | Im | 05h 14m 15.3s | +62deg 34' 48'' | 111 +- 5 | 13.9

what stars are in the ic 342 subgroup?

Answer: Camelopardalis A, Camelopardalis B, Cassiopeia 1, IC 342, KK 35, NGC 1560, NGC 1569, UGCA 86, UGCA 92, UGCA 105
Please answer a question about the following table 

header: Name | Type | R.A. (J2000) | Dec. (J2000) | Redshift (km/s) | Apparent Magnitude row 1 : Camelopardalis A | Irr | 04h 26m 16.3s | +72deg 48' 21'' | -46 +- 1 | 14.8
row 2 : Camelopardalis B | Irr | 04h 53m 07.1s | +67deg 05' 57' | 77 | 16.1
row 3 : Cassiopeia 1 | dIrr | 02h 06m 02.8s | +68deg 59' 59' | 35 | 16.4
row 4 : IC 342 | SAB(rs)cd | 03h 46m 48.5s | +68deg 05' 46'' | 31 +- 3 | 9.1
row 5 : KK 35 | Irr | 03h 45m 12.6s | +67deg 51' 51'' | 105 +- 1 | 17.2
row 6 : NGC 1560 | SA(s)d | 04h 32m 49.1s | +71deg 52' 59'' | -36 +- 5 | 12.2
row 7 : NGC 1569 | Sbrst | 04h 30m 49.1s | +64deg 50' 52,6' | -104 +- 4 | 11,2
row 8 : UGCA 86 | Im | 03h 59m 50.5s | +67deg 08' 37'' | 67 +- 4 | 13.5
row 9 : UGCA 92 | Im | 04h 32m 04.9s | +63deg 36' 49.0' | -99 +- 5 | 13.8
row 10 : UGCA 105 | Im | 05h 14m 15.3s | +62deg 34' 48'' | 111 +- 5 | 13.9

what stars are in the ic 342 subgroup? of those, which won has the highest apparent magnitude?

Answer: KK 35
Please answer a question about the following table 

header: Name | Type | R.A. (J2000) | Dec. (J2000) | Redshift (km/s) | Apparent Magnitude row 1 : Camelopardalis A | Irr | 04h 26m 16.3s | +72deg 48' 21'' | -46 +- 1 | 14.8
row 2 : Camelopardalis B | Irr | 04h 53m 07.1s | +67deg 05' 57' | 77 | 16.1
row 3 : Cassiopeia 1 | dIrr | 02h 06m 02.8s | +68deg 59' 59' | 35 | 16.4
row 4 : IC 342 | SAB(rs)cd | 03h 46m 48.5s | +68deg 05' 46'' | 31 +- 3 | 9.1
row 5 : KK 35 | Irr | 03h 45m 12.6s | +67deg 51' 51'' | 105 +- 1 | 17.2
row 6 : NGC 1560 | SA(s)d | 04h 32m 49.1s | +71deg 52' 59'' | -36 +- 5 | 12.2
row 7 : NGC 1569 | Sbrst | 04h 30m 49.1s | +64deg 50' 52,6' | -104 +- 4 | 11,2
row 8 : UGCA 86 | Im | 03h 59m 50.5s | +67deg 08' 37'' | 67 +- 4 | 13.5
row 9 : UGCA 92 | Im | 04h 32m 04.9s | +63deg 36' 49.0' | -99 +- 5 | 13.8
row 10 : UGCA 105 | Im | 05h 14m 15.3s | +62deg 34' 48'' | 111 +- 5 | 13.9

what are all the names?

Answer: Camelopardalis A, Camelopardalis B, Cassiopeia 1, IC 342, KK 35, NGC 1560, NGC 1569, UGCA 86, UGCA 92, UGCA 105
Please answer a question about the following table 

header: Name | Type | R.A. (J2000) | Dec. (J2000) | Redshift (km/s) | Apparent Magnitude row 1 : Camelopardalis A | Irr | 04h 26m 16.3s | +72deg 48' 21'' | -46 +- 1 | 14.8
row 2 : Camelopardalis B | Irr | 04h 53m 07.1s | +67deg 05' 57' | 77 | 16.1
row 3 : Cassiopeia 1 | dIrr | 02h 06m 02.8s | +68deg 59' 59' | 35 | 16.4
row 4 : IC 342 | SAB(rs)cd | 03h 46m 48.5s | +68deg 05' 46'' | 31 +- 3 | 9.1
row 5 : KK 35 | Irr | 03h 45m 12.6s | +67deg 51' 51'' | 105 +- 1 | 17.2
row 6 : NGC 1560 | SA(s)d | 04h 32m 49.1s | +71deg 52' 59'' | -36 +- 5 | 12.2
row 7 : NGC 1569 | Sbrst | 04h 30m 49.1s | +64deg 50' 52,6' | -104 +- 4 | 11,2
row 8 : UGCA 86 | Im | 03h 59m 50.5s | +67deg 08' 37'' | 67 +- 4 | 13.5
row 9 : UGCA 92 | Im | 04h 32m 04.9s | +63deg 36' 49.0' | -99 +- 5 | 13.8
row 10 : UGCA 105 | Im | 05h 14m 15.3s | +62deg 34' 48'' | 111 +- 5 | 13.9

what are all the names? which is type irr?

Answer: Camelopardalis A, Camelopardalis B, KK 35
Please answer a question about the following table 

header: Name | Type | R.A. (J2000) | Dec. (J2000) | Redshift (km/s) | Apparent Magnitude row 1 : Camelopardalis A | Irr | 04h 26m 16.3s | +72deg 48' 21'' | -46 +- 1 | 14.8
row 2 : Camelopardalis B | Irr | 04h 53m 07.1s | +67deg 05' 57' | 77 | 16.1
row 3 : Cassiopeia 1 | dIrr | 02h 06m 02.8s | +68deg 59' 59' | 35 | 16.4
row 4 : IC 342 | SAB(rs)cd | 03h 46m 48.5s | +68deg 05' 46'' | 31 +- 3 | 9.1
row 5 : KK 35 | Irr | 03h 45m 12.6s | +67deg 51' 51'' | 105 +- 1 | 17.2
row 6 : NGC 1560 | SA(s)d | 04h 32m 49.1s | +71deg 52' 59'' | -36 +- 5 | 12.2
row 7 : NGC 1569 | Sbrst | 04h 30m 49.1s | +64deg 50' 52,6' | -104 +- 4 | 11,2
row 8 : UGCA 86 | Im | 03h 59m 50.5s | +67deg 08' 37'' | 67 +- 4 | 13.5
row 9 : UGCA 92 | Im | 04h 32m 04.9s | +63deg 36' 49.0' | -99 +- 5 | 13.8
row 10 : UGCA 105 | Im | 05h 14m 15.3s | +62deg 34' 48'' | 111 +- 5 | 13.9

what are all the names? which is type irr? of those, which has the highest apparent magnitude?

Answer: KK 35
Please answer a question about the following table 

header: Name | Type | R.A. (J2000) | Dec. (J2000) | Redshift (km/s) | Apparent Magnitude row 1 : Camelopardalis A | Irr | 04h 26m 16.3s | +72deg 48' 21'' | -46 +- 1 | 14.8
row 2 : Camelopardalis B | Irr | 04h 53m 07.1s | +67deg 05' 57' | 77 | 16.1
row 3 : Cassiopeia 1 | dIrr | 02h 06m 02.8s | +68deg 59' 59' | 35 | 16.4
row 4 : IC 342 | SAB(rs)cd | 03h 46m 48.5s | +68deg 05' 46'' | 31 +- 3 | 9.1
row 5 : KK 35 | Irr | 03h 45m 12.6s | +67deg 51' 51'' | 105 +- 1 | 17.2
row 6 : NGC 1560 | SA(s)d | 04h 32m 49.1s | +71deg 52' 59'' | -36 +- 5 | 12.2
row 7 : NGC 1569 | Sbrst | 04h 30m 49.1s | +64deg 50' 52,6' | -104 +- 4 | 11,2
row 8 : UGCA 86 | Im | 03h 59m 50.5s | +67deg 08' 37'' | 67 +- 4 | 13.5
row 9 : UGCA 92 | Im | 04h 32m 04.9s | +63deg 36' 49.0' | -99 +- 5 | 13.8
row 10 : UGCA 105 | Im | 05h 14m 15.3s | +62deg 34' 48'' | 111 +- 5 | 13.9

what are all of the group names?

Answer: Camelopardalis A, Camelopardalis B, Cassiopeia 1, IC 342, KK 35, NGC 1560, NGC 1569, UGCA 86, UGCA 92, UGCA 105
Please answer a question about the following table 

header: Name | Type | R.A. (J2000) | Dec. (J2000) | Redshift (km/s) | Apparent Magnitude row 1 : Camelopardalis A | Irr | 04h 26m 16.3s | +72deg 48' 21'' | -46 +- 1 | 14.8
row 2 : Camelopardalis B | Irr | 04h 53m 07.1s | +67deg 05' 57' | 77 | 16.1
row 3 : Cassiopeia 1 | dIrr | 02h 06m 02.8s | +68deg 59' 59' | 35 | 16.4
row 4 : IC 342 | SAB(rs)cd | 03h 46m 48.5s | +68deg 05' 46'' | 31 +- 3 | 9.1
row 5 : KK 35 | Irr | 03h 45m 12.6s | +67deg 51' 51'' | 105 +- 1 | 17.2
row 6 : NGC 1560 | SA(s)d | 04h 32m 49.1s | +71deg 52' 59'' | -36 +- 5 | 12.2
row 7 : NGC 1569 | Sbrst | 04h 30m 49.1s | +64deg 50' 52,6' | -104 +- 4 | 11,2
row 8 : UGCA 86 | Im | 03h 59m 50.5s | +67deg 08' 37'' | 67 +- 4 | 13.5
row 9 : UGCA 92 | Im | 04h 32m 04.9s | +63deg 36' 49.0' | -99 +- 5 | 13.8
row 10 : UGCA 105 | Im | 05h 14m 15.3s | +62deg 34' 48'' | 111 +- 5 | 13.9

what are all of the group names? and their apparent magnitude?

Answer: 14.8, 16.1, 16.4, 9.1, 17.2, 12.2, 11,2, 13.5, 13.8, 13.9
Please answer a question about the following table 

header: Name | Type | R.A. (J2000) | Dec. (J2000) | Redshift (km/s) | Apparent Magnitude row 1 : Camelopardalis A | Irr | 04h 26m 16.3s | +72deg 48' 21'' | -46 +- 1 | 14.8
row 2 : Camelopardalis B | Irr | 04h 53m 07.1s | +67deg 05' 57' | 77 | 16.1
row 3 : Cassiopeia 1 | dIrr | 02h 06m 02.8s | +68deg 59' 59' | 35 | 16.4
row 4 : IC 342 | SAB(rs)cd | 03h 46m 48.5s | +68deg 05' 46'' | 31 +- 3 | 9.1
row 5 : KK 35 | Irr | 03h 45m 12.6s | +67deg 51' 51'' | 105 +- 1 | 17.2
row 6 : NGC 1560 | SA(s)d | 04h 32m 49.1s | +71deg 52' 59'' | -36 +- 5 | 12.2
row 7 : NGC 1569 | Sbrst | 04h 30m 49.1s | +64deg 50' 52,6' | -104 +- 4 | 11,2
row 8 : UGCA 86 | Im | 03h 59m 50.5s | +67deg 08' 37'' | 67 +- 4 | 13.5
row 9 : UGCA 92 | Im | 04h 32m 04.9s | +63deg 36' 49.0' | -99 +- 5 | 13.8
row 10 : UGCA 105 | Im | 05h 14m 15.3s | +62deg 34' 48'' | 111 +- 5 | 13.9

what are all of the group names? and their apparent magnitude? and which had the highest magnitude?

Answer: KK 35
Please answer a question about the following table 

header: Year | Organization | Award | Work | Result row 1 : 2005 | 47th The Television Drama Academy Awards | Best Actress | Hana Yori Dango | Won
row 2 : 2007 | 10th Nikkan Sports Drama Grand Prix | Best Actress | Hana Yori Dango 2 | Won
row 3 : 2007 | 16th Hashida Awards | Newcomer Award | Hana Yori Dango 2 | Won
row 4 : 2007 | 2007 MTV Student Voice Awards | Best Actress | Hana Yori Dango 2 | Won
row 5 : 2007 | 54th The Television Academy Drama Awards | Best Actress | First Kiss | Nominated
row 6 : 2008 | Nickelodeon Kids' Choice Awards | Best Actress | Hana Yori Dango 2 | Won
row 7 : 2010 | Nikkan Sports Grand Prix (Fall) | Best Supporting Actress | Veterinarian Dolittle | Nominated
row 8 : 2011 | 3rd TAMA Film Award | Best Emerging Actress | Miracle in the Pacific | Won
row 9 : 2011 | 35th Fumiko Yamaji Award Film | Newcomer Actress | Youkame no Semi | Won
row 10 : 2011 | 26th Nikkan Sport Film Awards | Best Newcomer | Youkame no Semi, Miracle in the Pacific | Won
row 11 : 2011 | TV Navi | Best Actress | Ohisama | Won
row 12 : 2011 | 70th The Television Drama Academy Awards | Best Actress | Ohisama | Won
row 13 : 2012 | 35th Japan Academy Awards | Best Starring Actress | Youkame no Semi | Won
row 14 : 2012 | Japan Film Festival Theater Staff | Best Actress | Youkame no Semi | Won
row 15 : 2012 | 16th Nikkan Sport Grand Prix | Best Actress | Tokkan | Nominated

what are all of the organizations?

Answer: 47th The Television Drama Academy Awards, 10th Nikkan Sports Drama Grand Prix, 16th Hashida Awards, 2007 MTV Student Voice Awards, 54th The Television Academy Drama Awards, Nickelodeon Kids' Choice Awards, Nikkan Sports Grand Prix (Fall), 3rd TAMA Film Award, 35th Fumiko Yamaji Award Film Awards, 26th Nikkan Sport Film Awards, TV Navi, 70th The Television Drama Academy Awards, 35th Japan Academy Awards, Japan Film Festival Theater Staff, 16th Nikkan Sport Grand Prix
Please answer a question about the following table 

header: Year | Organization | Award | Work | Result row 1 : 2005 | 47th The Television Drama Academy Awards | Best Actress | Hana Yori Dango | Won
row 2 : 2007 | 10th Nikkan Sports Drama Grand Prix | Best Actress | Hana Yori Dango 2 | Won
row 3 : 2007 | 16th Hashida Awards | Newcomer Award | Hana Yori Dango 2 | Won
row 4 : 2007 | 2007 MTV Student Voice Awards | Best Actress | Hana Yori Dango 2 | Won
row 5 : 2007 | 54th The Television Academy Drama Awards | Best Actress | First Kiss | Nominated
row 6 : 2008 | Nickelodeon Kids' Choice Awards | Best Actress | Hana Yori Dango 2 | Won
row 7 : 2010 | Nikkan Sports Grand Prix (Fall) | Best Supporting Actress | Veterinarian Dolittle | Nominated
row 8 : 2011 | 3rd TAMA Film Award | Best Emerging Actress | Miracle in the Pacific | Won
row 9 : 2011 | 35th Fumiko Yamaji Award Film | Newcomer Actress | Youkame no Semi | Won
row 10 : 2011 | 26th Nikkan Sport Film Awards | Best Newcomer | Youkame no Semi, Miracle in the Pacific | Won
row 11 : 2011 | TV Navi | Best Actress | Ohisama | Won
row 12 : 2011 | 70th The Television Drama Academy Awards | Best Actress | Ohisama | Won
row 13 : 2012 | 35th Japan Academy Awards | Best Starring Actress | Youkame no Semi | Won
row 14 : 2012 | Japan Film Festival Theater Staff | Best Actress | Youkame no Semi | Won
row 15 : 2012 | 16th Nikkan Sport Grand Prix | Best Actress | Tokkan | Nominated

what are all of the organizations? what are all of the awards?

Answer: Best Actress, Best Actress, Newcomer Award, Best Actress, Best Actress, Best Actress, Best Supporting Actress, Best Emerging Actress, Newcomer Actress, Best Newcomer, Best Actress, Best Actress, Best Starring Actress, Best Actress, Best Actress
Please answer a question about the following table 

header: Year | Organization | Award | Work | Result row 1 : 2005 | 47th The Television Drama Academy Awards | Best Actress | Hana Yori Dango | Won
row 2 : 2007 | 10th Nikkan Sports Drama Grand Prix | Best Actress | Hana Yori Dango 2 | Won
row 3 : 2007 | 16th Hashida Awards | Newcomer Award | Hana Yori Dango 2 | Won
row 4 : 2007 | 2007 MTV Student Voice Awards | Best Actress | Hana Yori Dango 2 | Won
row 5 : 2007 | 54th The Television Academy Drama Awards | Best Actress | First Kiss | Nominated
row 6 : 2008 | Nickelodeon Kids' Choice Awards | Best Actress | Hana Yori Dango 2 | Won
row 7 : 2010 | Nikkan Sports Grand Prix (Fall) | Best Supporting Actress | Veterinarian Dolittle | Nominated
row 8 : 2011 | 3rd TAMA Film Award | Best Emerging Actress | Miracle in the Pacific | Won
row 9 : 2011 | 35th Fumiko Yamaji Award Film | Newcomer Actress | Youkame no Semi | Won
row 10 : 2011 | 26th Nikkan Sport Film Awards | Best Newcomer | Youkame no Semi, Miracle in the Pacific | Won
row 11 : 2011 | TV Navi | Best Actress | Ohisama | Won
row 12 : 2011 | 70th The Television Drama Academy Awards | Best Actress | Ohisama | Won
row 13 : 2012 | 35th Japan Academy Awards | Best Starring Actress | Youkame no Semi | Won
row 14 : 2012 | Japan Film Festival Theater Staff | Best Actress | Youkame no Semi | Won
row 15 : 2012 | 16th Nikkan Sport Grand Prix | Best Actress | Tokkan | Nominated

what are all of the organizations? what are all of the awards? what about just during the 16th hashida awards?

Answer: Newcomer Award
Please answer a question about the following table 

header: Year | Organization | Award | Work | Result row 1 : 2005 | 47th The Television Drama Academy Awards | Best Actress | Hana Yori Dango | Won
row 2 : 2007 | 10th Nikkan Sports Drama Grand Prix | Best Actress | Hana Yori Dango 2 | Won
row 3 : 2007 | 16th Hashida Awards | Newcomer Award | Hana Yori Dango 2 | Won
row 4 : 2007 | 2007 MTV Student Voice Awards | Best Actress | Hana Yori Dango 2 | Won
row 5 : 2007 | 54th The Television Academy Drama Awards | Best Actress | First Kiss | Nominated
row 6 : 2008 | Nickelodeon Kids' Choice Awards | Best Actress | Hana Yori Dango 2 | Won
row 7 : 2010 | Nikkan Sports Grand Prix (Fall) | Best Supporting Actress | Veterinarian Dolittle | Nominated
row 8 : 2011 | 3rd TAMA Film Award | Best Emerging Actress | Miracle in the Pacific | Won
row 9 : 2011 | 35th Fumiko Yamaji Award Film | Newcomer Actress | Youkame no Semi | Won
row 10 : 2011 | 26th Nikkan Sport Film Awards | Best Newcomer | Youkame no Semi, Miracle in the Pacific | Won
row 11 : 2011 | TV Navi | Best Actress | Ohisama | Won
row 12 : 2011 | 70th The Television Drama Academy Awards | Best Actress | Ohisama | Won
row 13 : 2012 | 35th Japan Academy Awards | Best Starring Actress | Youkame no Semi | Won
row 14 : 2012 | Japan Film Festival Theater Staff | Best Actress | Youkame no Semi | Won
row 15 : 2012 | 16th Nikkan Sport Grand Prix | Best Actress | Tokkan | Nominated

what organizations awarded inoue with an award?

Answer: 47th The Television Drama Academy Awards, 10th Nikkan Sports Drama Grand Prix, 16th Hashida Awards, 2007 MTV Student Voice Awards, 54th The Television Academy Drama Awards, Nickelodeon Kids' Choice Awards, Nikkan Sports Grand Prix (Fall), 3rd TAMA Film Award, 35th Fumiko Yamaji Award Film Awards, 26th Nikkan Sport Film Awards, TV Navi, 70th The Television Drama Academy Awards, 35th Japan Academy Awards, Japan Film Festival Theater Staff, 16th Nikkan Sport Grand Prix
Please answer a question about the following table 

header: Year | Organization | Award | Work | Result row 1 : 2005 | 47th The Television Drama Academy Awards | Best Actress | Hana Yori Dango | Won
row 2 : 2007 | 10th Nikkan Sports Drama Grand Prix | Best Actress | Hana Yori Dango 2 | Won
row 3 : 2007 | 16th Hashida Awards | Newcomer Award | Hana Yori Dango 2 | Won
row 4 : 2007 | 2007 MTV Student Voice Awards | Best Actress | Hana Yori Dango 2 | Won
row 5 : 2007 | 54th The Television Academy Drama Awards | Best Actress | First Kiss | Nominated
row 6 : 2008 | Nickelodeon Kids' Choice Awards | Best Actress | Hana Yori Dango 2 | Won
row 7 : 2010 | Nikkan Sports Grand Prix (Fall) | Best Supporting Actress | Veterinarian Dolittle | Nominated
row 8 : 2011 | 3rd TAMA Film Award | Best Emerging Actress | Miracle in the Pacific | Won
row 9 : 2011 | 35th Fumiko Yamaji Award Film | Newcomer Actress | Youkame no Semi | Won
row 10 : 2011 | 26th Nikkan Sport Film Awards | Best Newcomer | Youkame no Semi, Miracle in the Pacific | Won
row 11 : 2011 | TV Navi | Best Actress | Ohisama | Won
row 12 : 2011 | 70th The Television Drama Academy Awards | Best Actress | Ohisama | Won
row 13 : 2012 | 35th Japan Academy Awards | Best Starring Actress | Youkame no Semi | Won
row 14 : 2012 | Japan Film Festival Theater Staff | Best Actress | Youkame no Semi | Won
row 15 : 2012 | 16th Nikkan Sport Grand Prix | Best Actress | Tokkan | Nominated

what organizations awarded inoue with an award? what was awarded by 16th hashida awards?

Answer: Newcomer Award
Please answer a question about the following table 

header: Year | Organization | Award | Work | Result row 1 : 2005 | 47th The Television Drama Academy Awards | Best Actress | Hana Yori Dango | Won
row 2 : 2007 | 10th Nikkan Sports Drama Grand Prix | Best Actress | Hana Yori Dango 2 | Won
row 3 : 2007 | 16th Hashida Awards | Newcomer Award | Hana Yori Dango 2 | Won
row 4 : 2007 | 2007 MTV Student Voice Awards | Best Actress | Hana Yori Dango 2 | Won
row 5 : 2007 | 54th The Television Academy Drama Awards | Best Actress | First Kiss | Nominated
row 6 : 2008 | Nickelodeon Kids' Choice Awards | Best Actress | Hana Yori Dango 2 | Won
row 7 : 2010 | Nikkan Sports Grand Prix (Fall) | Best Supporting Actress | Veterinarian Dolittle | Nominated
row 8 : 2011 | 3rd TAMA Film Award | Best Emerging Actress | Miracle in the Pacific | Won
row 9 : 2011 | 35th Fumiko Yamaji Award Film | Newcomer Actress | Youkame no Semi | Won
row 10 : 2011 | 26th Nikkan Sport Film Awards | Best Newcomer | Youkame no Semi, Miracle in the Pacific | Won
row 11 : 2011 | TV Navi | Best Actress | Ohisama | Won
row 12 : 2011 | 70th The Television Drama Academy Awards | Best Actress | Ohisama | Won
row 13 : 2012 | 35th Japan Academy Awards | Best Starring Actress | Youkame no Semi | Won
row 14 : 2012 | Japan Film Festival Theater Staff | Best Actress | Youkame no Semi | Won
row 15 : 2012 | 16th Nikkan Sport Grand Prix | Best Actress | Tokkan | Nominated

what year was she honored at the 16th hashida awards?

Answer: 2007
Please answer a question about the following table 

header: Year | Organization | Award | Work | Result row 1 : 2005 | 47th The Television Drama Academy Awards | Best Actress | Hana Yori Dango | Won
row 2 : 2007 | 10th Nikkan Sports Drama Grand Prix | Best Actress | Hana Yori Dango 2 | Won
row 3 : 2007 | 16th Hashida Awards | Newcomer Award | Hana Yori Dango 2 | Won
row 4 : 2007 | 2007 MTV Student Voice Awards | Best Actress | Hana Yori Dango 2 | Won
row 5 : 2007 | 54th The Television Academy Drama Awards | Best Actress | First Kiss | Nominated
row 6 : 2008 | Nickelodeon Kids' Choice Awards | Best Actress | Hana Yori Dango 2 | Won
row 7 : 2010 | Nikkan Sports Grand Prix (Fall) | Best Supporting Actress | Veterinarian Dolittle | Nominated
row 8 : 2011 | 3rd TAMA Film Award | Best Emerging Actress | Miracle in the Pacific | Won
row 9 : 2011 | 35th Fumiko Yamaji Award Film | Newcomer Actress | Youkame no Semi | Won
row 10 : 2011 | 26th Nikkan Sport Film Awards | Best Newcomer | Youkame no Semi, Miracle in the Pacific | Won
row 11 : 2011 | TV Navi | Best Actress | Ohisama | Won
row 12 : 2011 | 70th The Television Drama Academy Awards | Best Actress | Ohisama | Won
row 13 : 2012 | 35th Japan Academy Awards | Best Starring Actress | Youkame no Semi | Won
row 14 : 2012 | Japan Film Festival Theater Staff | Best Actress | Youkame no Semi | Won
row 15 : 2012 | 16th Nikkan Sport Grand Prix | Best Actress | Tokkan | Nominated

what year was she honored at the 16th hashida awards? at those awards, what award did she get?

Answer: Newcomer Award
Please answer a question about the following table 

header: Week | Date | Opponent | Results Final score | Results Team record | Venue | Attendance row 1 : 1 | September 18 | Washington Redskins | L 24-21 | 0-1 | Metropolitan Stadium | 47,900
row 2 : 2 | September 24 | at Detroit Lions | W 34-10 | 1-1 | Tiger Stadium | 54,418
row 3 : 3 | October 1 | Miami Dolphins | L 16-14 | 1-2 | Metropolitan Stadium | 47,900
row 4 : 4 | October 8 | St. Louis Cardinals | L 19-17 | 1-3 | Metropolitan Stadium | 49,687
row 5 : 5 | October 15 | at Denver Broncos | W 23-20 | 2-3 | Mile High Stadium | 51,656
row 6 : 6 | October 23 | at Chicago Bears | L 13-10 | 2-4 | Soldier Field | 55,701
row 7 : 7 | October 29 | at Green Bay Packers | W 27-13 | 3-4 | Lambeau Field | 56,263
row 8 : 8 | November 5 | New Orleans Saints | W 37-6 | 4-4 | Metropolitan Stadium | 49,784
row 9 : 9 | November 12 | Detroit Lions | W 16-14 | 5-4 | Metropolitan Stadium | 49,784
row 10 : 10 | November 19 | at Los Angeles Rams | W 45-41 | 6-4 | Los Angeles Memorial Coliseum | 77,982
row 11 : 11 | November 26 | at Pittsburgh Steelers | L 23-10 | 6-5 | Three Rivers Stadium | 50,348
row 12 : 12 | December 3 | Chicago Bears | W 23-10 | 7-5 | Metropolitan Stadium | 49,784
row 13 : 13 | December 10 | Green Bay Packers | L 23-7 | 7-6 | Metropolitan Stadium | 49,784
row 14 : 14 | December 16 | at San Francisco 49ers | L 20-17 | 7-7 | Candlestick Park | 61,214

what are the dates of the 1972 minnesota vikings season?

Answer: September 18, September 24, October 1, October 8, October 15, October 23, October 29, November 5, November 12, November 19, November 26, December 3, December 10, December 16