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

header: District balance [clarification needed] | Area km2 | Area sq mi | Pop. 1998 | Pop. 2008 | Pop./km2 2008 row 1 : Alarm Forest | 5.9 | 2.3 | 289 | 276 | 46.8
row 2 : Blue Hill | 36.5 | 14.1 | 177 | 153 | 4.2
row 3 : Half Tree Hollow | 1.6 | 0.6 | 1,140 | 901 | 563.1
row 4 : Jamestown | 3.6 | 1.4 | 884 | 714 | 198.3
row 5 : Levelwood | 14.0 | 5.4 | 376 | 316 | 22.6
row 6 : Longwood | 33.4 | 12.9 | 960 | 715 | 21.4
row 7 : Sandy Bay | 15.3 | 5.9 | 254 | 205 | 13.4
row 8 : Saint Paul's | 11.4 | 4.4 | 908 | 795 | 69.7
row 9 : Royal Mail Ship St. Helena[clarification | - | - | 149 | 171 | -
row 10 : Jamestown Harbour | - | - | 20 | 9 | -
row 11 : Total | 121.7 | 47.0 | 5,157 | 4,255 | 35.0

what are the names of all of the districts? what is the population for each of those districts in 1998? what is the population for each of those districts in 2008? what is the population for blue hill in 2008? what is the population for sandy bay in 2008? of those, who has the higher population?

Answer: Sandy Bay
Please answer a question about the following table 

header: District balance [clarification needed] | Area km2 | Area sq mi | Pop. 1998 | Pop. 2008 | Pop./km2 2008 row 1 : Alarm Forest | 5.9 | 2.3 | 289 | 276 | 46.8
row 2 : Blue Hill | 36.5 | 14.1 | 177 | 153 | 4.2
row 3 : Half Tree Hollow | 1.6 | 0.6 | 1,140 | 901 | 563.1
row 4 : Jamestown | 3.6 | 1.4 | 884 | 714 | 198.3
row 5 : Levelwood | 14.0 | 5.4 | 376 | 316 | 22.6
row 6 : Longwood | 33.4 | 12.9 | 960 | 715 | 21.4
row 7 : Sandy Bay | 15.3 | 5.9 | 254 | 205 | 13.4
row 8 : Saint Paul's | 11.4 | 4.4 | 908 | 795 | 69.7
row 9 : Royal Mail Ship St. Helena[clarification | - | - | 149 | 171 | -
row 10 : Jamestown Harbour | - | - | 20 | 9 | -
row 11 : Total | 121.7 | 47.0 | 5,157 | 4,255 | 35.0

what are all of the districts?

Answer: Alarm Forest, Blue Hill, Half Tree Hollow, Jamestown, Levelwood, Longwood, Sandy Bay, Saint Paul's, Royal Mail Ship St. Helena[clarification needed]
Please answer a question about the following table 

header: District balance [clarification needed] | Area km2 | Area sq mi | Pop. 1998 | Pop. 2008 | Pop./km2 2008 row 1 : Alarm Forest | 5.9 | 2.3 | 289 | 276 | 46.8
row 2 : Blue Hill | 36.5 | 14.1 | 177 | 153 | 4.2
row 3 : Half Tree Hollow | 1.6 | 0.6 | 1,140 | 901 | 563.1
row 4 : Jamestown | 3.6 | 1.4 | 884 | 714 | 198.3
row 5 : Levelwood | 14.0 | 5.4 | 376 | 316 | 22.6
row 6 : Longwood | 33.4 | 12.9 | 960 | 715 | 21.4
row 7 : Sandy Bay | 15.3 | 5.9 | 254 | 205 | 13.4
row 8 : Saint Paul's | 11.4 | 4.4 | 908 | 795 | 69.7
row 9 : Royal Mail Ship St. Helena[clarification | - | - | 149 | 171 | -
row 10 : Jamestown Harbour | - | - | 20 | 9 | -
row 11 : Total | 121.7 | 47.0 | 5,157 | 4,255 | 35.0

what are all of the districts? what were their 2008 populations?

Answer: 276, 153, 901, 714, 316, 715, 205, 795, 171, 9
Please answer a question about the following table 

header: District balance [clarification needed] | Area km2 | Area sq mi | Pop. 1998 | Pop. 2008 | Pop./km2 2008 row 1 : Alarm Forest | 5.9 | 2.3 | 289 | 276 | 46.8
row 2 : Blue Hill | 36.5 | 14.1 | 177 | 153 | 4.2
row 3 : Half Tree Hollow | 1.6 | 0.6 | 1,140 | 901 | 563.1
row 4 : Jamestown | 3.6 | 1.4 | 884 | 714 | 198.3
row 5 : Levelwood | 14.0 | 5.4 | 376 | 316 | 22.6
row 6 : Longwood | 33.4 | 12.9 | 960 | 715 | 21.4
row 7 : Sandy Bay | 15.3 | 5.9 | 254 | 205 | 13.4
row 8 : Saint Paul's | 11.4 | 4.4 | 908 | 795 | 69.7
row 9 : Royal Mail Ship St. Helena[clarification | - | - | 149 | 171 | -
row 10 : Jamestown Harbour | - | - | 20 | 9 | -
row 11 : Total | 121.7 | 47.0 | 5,157 | 4,255 | 35.0

what are all of the districts? what were their 2008 populations? what about just between sandy bay and blue hill?

Answer: 153, 205
Please answer a question about the following table 

header: District balance [clarification needed] | Area km2 | Area sq mi | Pop. 1998 | Pop. 2008 | Pop./km2 2008 row 1 : Alarm Forest | 5.9 | 2.3 | 289 | 276 | 46.8
row 2 : Blue Hill | 36.5 | 14.1 | 177 | 153 | 4.2
row 3 : Half Tree Hollow | 1.6 | 0.6 | 1,140 | 901 | 563.1
row 4 : Jamestown | 3.6 | 1.4 | 884 | 714 | 198.3
row 5 : Levelwood | 14.0 | 5.4 | 376 | 316 | 22.6
row 6 : Longwood | 33.4 | 12.9 | 960 | 715 | 21.4
row 7 : Sandy Bay | 15.3 | 5.9 | 254 | 205 | 13.4
row 8 : Saint Paul's | 11.4 | 4.4 | 908 | 795 | 69.7
row 9 : Royal Mail Ship St. Helena[clarification | - | - | 149 | 171 | -
row 10 : Jamestown Harbour | - | - | 20 | 9 | -
row 11 : Total | 121.7 | 47.0 | 5,157 | 4,255 | 35.0

what are all of the districts? what were their 2008 populations? what about just between sandy bay and blue hill? and which had a larger population?

Answer: Sandy Bay
Please answer a question about the following table 

header: Unnamed: 0 | 1980 | 1975 | 1975.1 | 1985 | 1985.1 row 1 : World | 4,434,682,000 | 366,573,000 | 366,573,000 | 396,297,000 | 396,297,000
row 2 : Africa | 469,618,000 | 61,458,000 | 61,458,000 | 72,196,000 | 72,196,000
row 3 : Asia | 2,632,335,000 | 234,823,000 | 234,823,000 | 255,217,000 | 255,217,000
row 4 : Europe | 692,431,000 | 16,889,000 | 16,889,000 | 13,578,000 | 13,578,000
row 5 : Latin-America & Caribbean | 361,401,000 | 39,495,000 | 39,495,000 | 40,068,000 | 40,068,000
row 6 : North America | 256,068,000 | 12,643,000 | 12,643,000 | 13,388,000 | 13,388,000
row 7 : Oceania | 22,828,000 | 1,264,000 | 1,264,000 | 1,850,000 | 1,850,000

what was the population of each continent in 1975?

Answer: Africa, 61,458,000, Asia, 234,823,000, Europe, 16,889,000, Latin-America & Caribbean, 39,495,000, North America, 12,643,000
Please answer a question about the following table 

header: Unnamed: 0 | 1980 | 1975 | 1975.1 | 1985 | 1985.1 row 1 : World | 4,434,682,000 | 366,573,000 | 366,573,000 | 396,297,000 | 396,297,000
row 2 : Africa | 469,618,000 | 61,458,000 | 61,458,000 | 72,196,000 | 72,196,000
row 3 : Asia | 2,632,335,000 | 234,823,000 | 234,823,000 | 255,217,000 | 255,217,000
row 4 : Europe | 692,431,000 | 16,889,000 | 16,889,000 | 13,578,000 | 13,578,000
row 5 : Latin-America & Caribbean | 361,401,000 | 39,495,000 | 39,495,000 | 40,068,000 | 40,068,000
row 6 : North America | 256,068,000 | 12,643,000 | 12,643,000 | 13,388,000 | 13,388,000
row 7 : Oceania | 22,828,000 | 1,264,000 | 1,264,000 | 1,850,000 | 1,850,000

what was the population of each continent in 1975? what was the population of each continent in 1985?

Answer: Africa, 72,196,000, Asia, 255,217,000, Europe, 13,578,000, Latin-America & Caribbean, 40,068,000, North America, 13,388,000
Please answer a question about the following table 

header: Unnamed: 0 | 1980 | 1975 | 1975.1 | 1985 | 1985.1 row 1 : World | 4,434,682,000 | 366,573,000 | 366,573,000 | 396,297,000 | 396,297,000
row 2 : Africa | 469,618,000 | 61,458,000 | 61,458,000 | 72,196,000 | 72,196,000
row 3 : Asia | 2,632,335,000 | 234,823,000 | 234,823,000 | 255,217,000 | 255,217,000
row 4 : Europe | 692,431,000 | 16,889,000 | 16,889,000 | 13,578,000 | 13,578,000
row 5 : Latin-America & Caribbean | 361,401,000 | 39,495,000 | 39,495,000 | 40,068,000 | 40,068,000
row 6 : North America | 256,068,000 | 12,643,000 | 12,643,000 | 13,388,000 | 13,388,000
row 7 : Oceania | 22,828,000 | 1,264,000 | 1,264,000 | 1,850,000 | 1,850,000

what was the population of each continent in 1975? what was the population of each continent in 1985? which had the largeset growth?

Answer: Asia
Please answer a question about the following table 

header: Unnamed: 0 | 1980 | 1975 | 1975.1 | 1985 | 1985.1 row 1 : World | 4,434,682,000 | 366,573,000 | 366,573,000 | 396,297,000 | 396,297,000
row 2 : Africa | 469,618,000 | 61,458,000 | 61,458,000 | 72,196,000 | 72,196,000
row 3 : Asia | 2,632,335,000 | 234,823,000 | 234,823,000 | 255,217,000 | 255,217,000
row 4 : Europe | 692,431,000 | 16,889,000 | 16,889,000 | 13,578,000 | 13,578,000
row 5 : Latin-America & Caribbean | 361,401,000 | 39,495,000 | 39,495,000 | 40,068,000 | 40,068,000
row 6 : North America | 256,068,000 | 12,643,000 | 12,643,000 | 13,388,000 | 13,388,000
row 7 : Oceania | 22,828,000 | 1,264,000 | 1,264,000 | 1,850,000 | 1,850,000

what are the continents shown?

Answer: Africa, Asia, Europe, Latin-America & Caribbean, North America, Oceania
Please answer a question about the following table 

header: Unnamed: 0 | 1980 | 1975 | 1975.1 | 1985 | 1985.1 row 1 : World | 4,434,682,000 | 366,573,000 | 366,573,000 | 396,297,000 | 396,297,000
row 2 : Africa | 469,618,000 | 61,458,000 | 61,458,000 | 72,196,000 | 72,196,000
row 3 : Asia | 2,632,335,000 | 234,823,000 | 234,823,000 | 255,217,000 | 255,217,000
row 4 : Europe | 692,431,000 | 16,889,000 | 16,889,000 | 13,578,000 | 13,578,000
row 5 : Latin-America & Caribbean | 361,401,000 | 39,495,000 | 39,495,000 | 40,068,000 | 40,068,000
row 6 : North America | 256,068,000 | 12,643,000 | 12,643,000 | 13,388,000 | 13,388,000
row 7 : Oceania | 22,828,000 | 1,264,000 | 1,264,000 | 1,850,000 | 1,850,000

what are the continents shown? which has the highest growth rates 1975-1985?

Answer: Asia
Please answer a question about the following table 

header: Unnamed: 0 | 1980 | 1975 | 1975.1 | 1985 | 1985.1 row 1 : World | 4,434,682,000 | 366,573,000 | 366,573,000 | 396,297,000 | 396,297,000
row 2 : Africa | 469,618,000 | 61,458,000 | 61,458,000 | 72,196,000 | 72,196,000
row 3 : Asia | 2,632,335,000 | 234,823,000 | 234,823,000 | 255,217,000 | 255,217,000
row 4 : Europe | 692,431,000 | 16,889,000 | 16,889,000 | 13,578,000 | 13,578,000
row 5 : Latin-America & Caribbean | 361,401,000 | 39,495,000 | 39,495,000 | 40,068,000 | 40,068,000
row 6 : North America | 256,068,000 | 12,643,000 | 12,643,000 | 13,388,000 | 13,388,000
row 7 : Oceania | 22,828,000 | 1,264,000 | 1,264,000 | 1,850,000 | 1,850,000

what are the amounts of population growth?

Answer: 4,434,682,000, 366,573,000, 366,573,000, 396,297,000, 396,297,000, 469,618,000, 61,458,000, 61,458,000, 72,196,000, 72,196,000, 2,632,335,000, 234,823,000, 234,823,000, 255,217,000, 255,217,000, 692,431,000, 16,889,000, 16,889,000, 13,578,000, 13,578,000, 361,401,000, 39,495,000, 39,495,000, 40,068,000, 40,068,000, 256,068,000, 12,643,000, 12,643,000, 13,388,000, 13,388,000, 22,828,000, 1,264,000, 1,264,000, 1,850,000, 1,850,000
Please answer a question about the following table 

header: Unnamed: 0 | 1980 | 1975 | 1975.1 | 1985 | 1985.1 row 1 : World | 4,434,682,000 | 366,573,000 | 366,573,000 | 396,297,000 | 396,297,000
row 2 : Africa | 469,618,000 | 61,458,000 | 61,458,000 | 72,196,000 | 72,196,000
row 3 : Asia | 2,632,335,000 | 234,823,000 | 234,823,000 | 255,217,000 | 255,217,000
row 4 : Europe | 692,431,000 | 16,889,000 | 16,889,000 | 13,578,000 | 13,578,000
row 5 : Latin-America & Caribbean | 361,401,000 | 39,495,000 | 39,495,000 | 40,068,000 | 40,068,000
row 6 : North America | 256,068,000 | 12,643,000 | 12,643,000 | 13,388,000 | 13,388,000
row 7 : Oceania | 22,828,000 | 1,264,000 | 1,264,000 | 1,850,000 | 1,850,000

what are the amounts of population growth? which had the greatest growth?

Answer: Asia
Please answer a question about the following table 

header: Rank | Nation | Gold | Silver | Bronze | Total row 1 : 1.0 | Brazil | 21 | 9 | 12 | 42
row 2 : 2.0 | United States | 9 | 3 | 6 | 18
row 3 : 3.0 | China | 1 | 9 | 8 | 18
row 4 : 4.0 | Australia | 1 | 1 | 1 | 3
row 5 : 4.0 | Netherlands | 1 | 1 | 1 | 3
row 6 : 6.0 | Estonia | 1 | 0 | 0 | 1
row 7 : 7.0 | Germany | 0 | 5 | 1 | 6
row 8 : 8.0 | Russia | 0 | 2 | 3 | 5
row 9 : 9.0 | Argentina | 0 | 2 | 0 | 2
row 10 : 10.0 | Switzerland | 0 | 1 | 1 | 2
row 11 : 11.0 | Norway | 0 | 1 | 0 | 1
row 12 : 12.0 | Austria | 0 | 0 | 1 | 1

what is the total medal count of the united states?

Answer: 18
Please answer a question about the following table 

header: Rank | Nation | Gold | Silver | Bronze | Total row 1 : 1.0 | Brazil | 21 | 9 | 12 | 42
row 2 : 2.0 | United States | 9 | 3 | 6 | 18
row 3 : 3.0 | China | 1 | 9 | 8 | 18
row 4 : 4.0 | Australia | 1 | 1 | 1 | 3
row 5 : 4.0 | Netherlands | 1 | 1 | 1 | 3
row 6 : 6.0 | Estonia | 1 | 0 | 0 | 1
row 7 : 7.0 | Germany | 0 | 5 | 1 | 6
row 8 : 8.0 | Russia | 0 | 2 | 3 | 5
row 9 : 9.0 | Argentina | 0 | 2 | 0 | 2
row 10 : 10.0 | Switzerland | 0 | 1 | 1 | 2
row 11 : 11.0 | Norway | 0 | 1 | 0 | 1
row 12 : 12.0 | Austria | 0 | 0 | 1 | 1

what is the total medal count of the united states? which countries have a medal count of 18?

Answer: United States, China
Please answer a question about the following table 

header: Rank | Nation | Gold | Silver | Bronze | Total row 1 : 1.0 | Brazil | 21 | 9 | 12 | 42
row 2 : 2.0 | United States | 9 | 3 | 6 | 18
row 3 : 3.0 | China | 1 | 9 | 8 | 18
row 4 : 4.0 | Australia | 1 | 1 | 1 | 3
row 5 : 4.0 | Netherlands | 1 | 1 | 1 | 3
row 6 : 6.0 | Estonia | 1 | 0 | 0 | 1
row 7 : 7.0 | Germany | 0 | 5 | 1 | 6
row 8 : 8.0 | Russia | 0 | 2 | 3 | 5
row 9 : 9.0 | Argentina | 0 | 2 | 0 | 2
row 10 : 10.0 | Switzerland | 0 | 1 | 1 | 2
row 11 : 11.0 | Norway | 0 | 1 | 0 | 1
row 12 : 12.0 | Austria | 0 | 0 | 1 | 1

what is the total medal count of the united states? which countries have a medal count of 18? of those, what are the total silver medal counts represented?

Answer: 3, 9
Please answer a question about the following table 

header: Rank | Nation | Gold | Silver | Bronze | Total row 1 : 1.0 | Brazil | 21 | 9 | 12 | 42
row 2 : 2.0 | United States | 9 | 3 | 6 | 18
row 3 : 3.0 | China | 1 | 9 | 8 | 18
row 4 : 4.0 | Australia | 1 | 1 | 1 | 3
row 5 : 4.0 | Netherlands | 1 | 1 | 1 | 3
row 6 : 6.0 | Estonia | 1 | 0 | 0 | 1
row 7 : 7.0 | Germany | 0 | 5 | 1 | 6
row 8 : 8.0 | Russia | 0 | 2 | 3 | 5
row 9 : 9.0 | Argentina | 0 | 2 | 0 | 2
row 10 : 10.0 | Switzerland | 0 | 1 | 1 | 2
row 11 : 11.0 | Norway | 0 | 1 | 0 | 1
row 12 : 12.0 | Austria | 0 | 0 | 1 | 1

what is the total medal count of the united states? which countries have a medal count of 18? of those, what are the total silver medal counts represented? which country has a silver medal count of 9?

Answer: China
Please answer a question about the following table 

header: Rank | Nation | Gold | Silver | Bronze | Total row 1 : 1.0 | Brazil | 21 | 9 | 12 | 42
row 2 : 2.0 | United States | 9 | 3 | 6 | 18
row 3 : 3.0 | China | 1 | 9 | 8 | 18
row 4 : 4.0 | Australia | 1 | 1 | 1 | 3
row 5 : 4.0 | Netherlands | 1 | 1 | 1 | 3
row 6 : 6.0 | Estonia | 1 | 0 | 0 | 1
row 7 : 7.0 | Germany | 0 | 5 | 1 | 6
row 8 : 8.0 | Russia | 0 | 2 | 3 | 5
row 9 : 9.0 | Argentina | 0 | 2 | 0 | 2
row 10 : 10.0 | Switzerland | 0 | 1 | 1 | 2
row 11 : 11.0 | Norway | 0 | 1 | 0 | 1
row 12 : 12.0 | Austria | 0 | 0 | 1 | 1

which countries are part of the swatch fivb world tour 2007?

Answer: Brazil, United States, China, Australia, Netherlands, Estonia, Germany, Russia, Argentina, Switzerland, Norway, Austria
Please answer a question about the following table 

header: Rank | Nation | Gold | Silver | Bronze | Total row 1 : 1.0 | Brazil | 21 | 9 | 12 | 42
row 2 : 2.0 | United States | 9 | 3 | 6 | 18
row 3 : 3.0 | China | 1 | 9 | 8 | 18
row 4 : 4.0 | Australia | 1 | 1 | 1 | 3
row 5 : 4.0 | Netherlands | 1 | 1 | 1 | 3
row 6 : 6.0 | Estonia | 1 | 0 | 0 | 1
row 7 : 7.0 | Germany | 0 | 5 | 1 | 6
row 8 : 8.0 | Russia | 0 | 2 | 3 | 5
row 9 : 9.0 | Argentina | 0 | 2 | 0 | 2
row 10 : 10.0 | Switzerland | 0 | 1 | 1 | 2
row 11 : 11.0 | Norway | 0 | 1 | 0 | 1
row 12 : 12.0 | Austria | 0 | 0 | 1 | 1

which countries are part of the swatch fivb world tour 2007? which of those have won at least one gold medal?

Answer: Brazil, United States, China, Australia, Netherlands, Estonia
Please answer a question about the following table 

header: Rank | Nation | Gold | Silver | Bronze | Total row 1 : 1.0 | Brazil | 21 | 9 | 12 | 42
row 2 : 2.0 | United States | 9 | 3 | 6 | 18
row 3 : 3.0 | China | 1 | 9 | 8 | 18
row 4 : 4.0 | Australia | 1 | 1 | 1 | 3
row 5 : 4.0 | Netherlands | 1 | 1 | 1 | 3
row 6 : 6.0 | Estonia | 1 | 0 | 0 | 1
row 7 : 7.0 | Germany | 0 | 5 | 1 | 6
row 8 : 8.0 | Russia | 0 | 2 | 3 | 5
row 9 : 9.0 | Argentina | 0 | 2 | 0 | 2
row 10 : 10.0 | Switzerland | 0 | 1 | 1 | 2
row 11 : 11.0 | Norway | 0 | 1 | 0 | 1
row 12 : 12.0 | Austria | 0 | 0 | 1 | 1

which countries are part of the swatch fivb world tour 2007? which of those have won at least one gold medal? which 3 have the most total medals?

Answer: Brazil, United States, China
Please answer a question about the following table 

header: Rank | Nation | Gold | Silver | Bronze | Total row 1 : 1.0 | Brazil | 21 | 9 | 12 | 42
row 2 : 2.0 | United States | 9 | 3 | 6 | 18
row 3 : 3.0 | China | 1 | 9 | 8 | 18
row 4 : 4.0 | Australia | 1 | 1 | 1 | 3
row 5 : 4.0 | Netherlands | 1 | 1 | 1 | 3
row 6 : 6.0 | Estonia | 1 | 0 | 0 | 1
row 7 : 7.0 | Germany | 0 | 5 | 1 | 6
row 8 : 8.0 | Russia | 0 | 2 | 3 | 5
row 9 : 9.0 | Argentina | 0 | 2 | 0 | 2
row 10 : 10.0 | Switzerland | 0 | 1 | 1 | 2
row 11 : 11.0 | Norway | 0 | 1 | 0 | 1
row 12 : 12.0 | Austria | 0 | 0 | 1 | 1

which countries are part of the swatch fivb world tour 2007? which of those have won at least one gold medal? which 3 have the most total medals? of those which has the fewest gold medals?

Answer: China
Please answer a question about the following table 

header: Rank | Nation | Gold | Silver | Bronze | Total row 1 : 1.0 | Brazil | 21 | 9 | 12 | 42
row 2 : 2.0 | United States | 9 | 3 | 6 | 18
row 3 : 3.0 | China | 1 | 9 | 8 | 18
row 4 : 4.0 | Australia | 1 | 1 | 1 | 3
row 5 : 4.0 | Netherlands | 1 | 1 | 1 | 3
row 6 : 6.0 | Estonia | 1 | 0 | 0 | 1
row 7 : 7.0 | Germany | 0 | 5 | 1 | 6
row 8 : 8.0 | Russia | 0 | 2 | 3 | 5
row 9 : 9.0 | Argentina | 0 | 2 | 0 | 2
row 10 : 10.0 | Switzerland | 0 | 1 | 1 | 2
row 11 : 11.0 | Norway | 0 | 1 | 0 | 1
row 12 : 12.0 | Austria | 0 | 0 | 1 | 1

what is the amount of silver medals that the us won?

Answer: 3
Please answer a question about the following table 

header: Rank | Nation | Gold | Silver | Bronze | Total row 1 : 1.0 | Brazil | 21 | 9 | 12 | 42
row 2 : 2.0 | United States | 9 | 3 | 6 | 18
row 3 : 3.0 | China | 1 | 9 | 8 | 18
row 4 : 4.0 | Australia | 1 | 1 | 1 | 3
row 5 : 4.0 | Netherlands | 1 | 1 | 1 | 3
row 6 : 6.0 | Estonia | 1 | 0 | 0 | 1
row 7 : 7.0 | Germany | 0 | 5 | 1 | 6
row 8 : 8.0 | Russia | 0 | 2 | 3 | 5
row 9 : 9.0 | Argentina | 0 | 2 | 0 | 2
row 10 : 10.0 | Switzerland | 0 | 1 | 1 | 2
row 11 : 11.0 | Norway | 0 | 1 | 0 | 1
row 12 : 12.0 | Austria | 0 | 0 | 1 | 1

what is the amount of silver medals that the us won? what is the amount of silver medals for china?

Answer: 9
Please answer a question about the following table 

header: Rank | Nation | Gold | Silver | Bronze | Total row 1 : 1.0 | Brazil | 21 | 9 | 12 | 42
row 2 : 2.0 | United States | 9 | 3 | 6 | 18
row 3 : 3.0 | China | 1 | 9 | 8 | 18
row 4 : 4.0 | Australia | 1 | 1 | 1 | 3
row 5 : 4.0 | Netherlands | 1 | 1 | 1 | 3
row 6 : 6.0 | Estonia | 1 | 0 | 0 | 1
row 7 : 7.0 | Germany | 0 | 5 | 1 | 6
row 8 : 8.0 | Russia | 0 | 2 | 3 | 5
row 9 : 9.0 | Argentina | 0 | 2 | 0 | 2
row 10 : 10.0 | Switzerland | 0 | 1 | 1 | 2
row 11 : 11.0 | Norway | 0 | 1 | 0 | 1
row 12 : 12.0 | Austria | 0 | 0 | 1 | 1

what is the amount of silver medals that the us won? what is the amount of silver medals for china? who had more medals?

Answer: China
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

which countries played in the event?

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

which countries played in the event? and what were the athlete names?

Answer: Sven Kramer Koen Verweij Jan Blokhuijsen, Shani Davis Brian Hansen Jonathan Kuck, Ivan Skobrev Denis Yuskov Yevgeny Lalenkov, Denny Morrison Mathieu Giroux Lucas Makowsky, Sverre Lunde Pedersen Havard Bokko Kristian Reistad Fredriksen, Patrick Beckert Marco Weber Robert Lehmann, Lee Seung-hoon Joo Hyong-jun Ko Byung-wook, Zbigniew Brodka Konrad Niedzwiedzki Jan Szymanski
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

which countries played in the event? and what were the athlete names? which country do shani davis and brian hansen represent?

Answer: United States
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 athletes competed in the 2012 world single distance speed skating championships- men's team pursuit?

Answer: Sven Kramer Koen Verweij Jan Blokhuijsen, Shani Davis Brian Hansen Jonathan Kuck, Ivan Skobrev Denis Yuskov Yevgeny Lalenkov, Denny Morrison Mathieu Giroux Lucas Makowsky, Sverre Lunde Pedersen Havard Bokko Kristian Reistad Fredriksen, Patrick Beckert Marco Weber Robert Lehmann, Lee Seung-hoon Joo Hyong-jun Ko Byung-wook, Zbigniew Brodka Konrad Niedzwiedzki Jan Szymanski
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 athletes competed in the 2012 world single distance speed skating championships- men's team pursuit? of the athletes shani davis and brian hansen, what country did they skate for?

Answer: United States
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

who was pair 4?

Answer: Shani Davis Brian Hansen Jonathan Kuck
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

who was pair 4? what country did they skate for?

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

header: Place | Code | Area (km2) | Population | Most spoken language row 1 : Backer | 91101 | 0.34 | 1,217 | Northern Sotho
row 2 : Bochum | 91102 | 11.64 | 4,142 | Northern Sotho
row 3 : Dendron | 91103 | 2.98 | 1,885 | Northern Sotho
row 4 : Ga-Ramokgopha | 91104 | 11.22 | 15,806 | Northern Sotho
row 5 : Manthata | 91105 | 12.24 | 22,121 | Northern Sotho
row 6 : Moletji | 91107 | 11.66 | 4,989 | Northern Sotho
row 7 : Sekgosese | 91108 | 349.99 | 46,749 | Northern Sotho
row 8 : Sekhokho | 91109 | 1.24 | 1,852 | Northern Sotho
row 9 : Soekmekaar | 91110 | 1.06 | 217 | Northern Sotho
row 10 : Remainder of the municipality | 91106 | 2,944.04 | 10,463 | Northern Sotho

what are all of the listed places?

Answer: Backer, Bochum, Dendron, Ga-Ramokgopha, Manthata, Moletji, Sekgosese, Sekhokho, Soekmekaar, Remainder of the municipality
Please answer a question about the following table 

header: Place | Code | Area (km2) | Population | Most spoken language row 1 : Backer | 91101 | 0.34 | 1,217 | Northern Sotho
row 2 : Bochum | 91102 | 11.64 | 4,142 | Northern Sotho
row 3 : Dendron | 91103 | 2.98 | 1,885 | Northern Sotho
row 4 : Ga-Ramokgopha | 91104 | 11.22 | 15,806 | Northern Sotho
row 5 : Manthata | 91105 | 12.24 | 22,121 | Northern Sotho
row 6 : Moletji | 91107 | 11.66 | 4,989 | Northern Sotho
row 7 : Sekgosese | 91108 | 349.99 | 46,749 | Northern Sotho
row 8 : Sekhokho | 91109 | 1.24 | 1,852 | Northern Sotho
row 9 : Soekmekaar | 91110 | 1.06 | 217 | Northern Sotho
row 10 : Remainder of the municipality | 91106 | 2,944.04 | 10,463 | Northern Sotho

what are all of the listed places? what is the area of all of the non-remainders?

Answer: 0.34, 11.64, 2.98, 11.22, 12.24, 11.66, 349.99, 1.24, 1.06
Please answer a question about the following table 

header: Place | Code | Area (km2) | Population | Most spoken language row 1 : Backer | 91101 | 0.34 | 1,217 | Northern Sotho
row 2 : Bochum | 91102 | 11.64 | 4,142 | Northern Sotho
row 3 : Dendron | 91103 | 2.98 | 1,885 | Northern Sotho
row 4 : Ga-Ramokgopha | 91104 | 11.22 | 15,806 | Northern Sotho
row 5 : Manthata | 91105 | 12.24 | 22,121 | Northern Sotho
row 6 : Moletji | 91107 | 11.66 | 4,989 | Northern Sotho
row 7 : Sekgosese | 91108 | 349.99 | 46,749 | Northern Sotho
row 8 : Sekhokho | 91109 | 1.24 | 1,852 | Northern Sotho
row 9 : Soekmekaar | 91110 | 1.06 | 217 | Northern Sotho
row 10 : Remainder of the municipality | 91106 | 2,944.04 | 10,463 | Northern Sotho

what are all of the listed places? what is the area of all of the non-remainders? which of those places is the largest?

Answer: Sekgosese
Please answer a question about the following table 

header: Place | Code | Area (km2) | Population | Most spoken language row 1 : Backer | 91101 | 0.34 | 1,217 | Northern Sotho
row 2 : Bochum | 91102 | 11.64 | 4,142 | Northern Sotho
row 3 : Dendron | 91103 | 2.98 | 1,885 | Northern Sotho
row 4 : Ga-Ramokgopha | 91104 | 11.22 | 15,806 | Northern Sotho
row 5 : Manthata | 91105 | 12.24 | 22,121 | Northern Sotho
row 6 : Moletji | 91107 | 11.66 | 4,989 | Northern Sotho
row 7 : Sekgosese | 91108 | 349.99 | 46,749 | Northern Sotho
row 8 : Sekhokho | 91109 | 1.24 | 1,852 | Northern Sotho
row 9 : Soekmekaar | 91110 | 1.06 | 217 | Northern Sotho
row 10 : Remainder of the municipality | 91106 | 2,944.04 | 10,463 | Northern Sotho

what are the areas of the places individually, not counting the remainder of the municipality?

Answer: 0.34, 11.64, 2.98, 11.22, 12.24, 11.66, 349.99, 1.24, 1.06
Please answer a question about the following table 

header: Place | Code | Area (km2) | Population | Most spoken language row 1 : Backer | 91101 | 0.34 | 1,217 | Northern Sotho
row 2 : Bochum | 91102 | 11.64 | 4,142 | Northern Sotho
row 3 : Dendron | 91103 | 2.98 | 1,885 | Northern Sotho
row 4 : Ga-Ramokgopha | 91104 | 11.22 | 15,806 | Northern Sotho
row 5 : Manthata | 91105 | 12.24 | 22,121 | Northern Sotho
row 6 : Moletji | 91107 | 11.66 | 4,989 | Northern Sotho
row 7 : Sekgosese | 91108 | 349.99 | 46,749 | Northern Sotho
row 8 : Sekhokho | 91109 | 1.24 | 1,852 | Northern Sotho
row 9 : Soekmekaar | 91110 | 1.06 | 217 | Northern Sotho
row 10 : Remainder of the municipality | 91106 | 2,944.04 | 10,463 | Northern Sotho

what are the areas of the places individually, not counting the remainder of the municipality? which of these areas is the largest?

Answer: 349.99
Please answer a question about the following table 

header: Place | Code | Area (km2) | Population | Most spoken language row 1 : Backer | 91101 | 0.34 | 1,217 | Northern Sotho
row 2 : Bochum | 91102 | 11.64 | 4,142 | Northern Sotho
row 3 : Dendron | 91103 | 2.98 | 1,885 | Northern Sotho
row 4 : Ga-Ramokgopha | 91104 | 11.22 | 15,806 | Northern Sotho
row 5 : Manthata | 91105 | 12.24 | 22,121 | Northern Sotho
row 6 : Moletji | 91107 | 11.66 | 4,989 | Northern Sotho
row 7 : Sekgosese | 91108 | 349.99 | 46,749 | Northern Sotho
row 8 : Sekhokho | 91109 | 1.24 | 1,852 | Northern Sotho
row 9 : Soekmekaar | 91110 | 1.06 | 217 | Northern Sotho
row 10 : Remainder of the municipality | 91106 | 2,944.04 | 10,463 | Northern Sotho

what are the areas of the places individually, not counting the remainder of the municipality? which of these areas is the largest? what place has an area of 349.99 km squared?

Answer: Sekgosese
Please answer a question about the following table 

header: Place | Code | Area (km2) | Population | Most spoken language row 1 : Backer | 91101 | 0.34 | 1,217 | Northern Sotho
row 2 : Bochum | 91102 | 11.64 | 4,142 | Northern Sotho
row 3 : Dendron | 91103 | 2.98 | 1,885 | Northern Sotho
row 4 : Ga-Ramokgopha | 91104 | 11.22 | 15,806 | Northern Sotho
row 5 : Manthata | 91105 | 12.24 | 22,121 | Northern Sotho
row 6 : Moletji | 91107 | 11.66 | 4,989 | Northern Sotho
row 7 : Sekgosese | 91108 | 349.99 | 46,749 | Northern Sotho
row 8 : Sekhokho | 91109 | 1.24 | 1,852 | Northern Sotho
row 9 : Soekmekaar | 91110 | 1.06 | 217 | Northern Sotho
row 10 : Remainder of the municipality | 91106 | 2,944.04 | 10,463 | Northern Sotho

what are the three largest areas>

Answer: 12.24, 11.66, 349.99
Please answer a question about the following table 

header: Place | Code | Area (km2) | Population | Most spoken language row 1 : Backer | 91101 | 0.34 | 1,217 | Northern Sotho
row 2 : Bochum | 91102 | 11.64 | 4,142 | Northern Sotho
row 3 : Dendron | 91103 | 2.98 | 1,885 | Northern Sotho
row 4 : Ga-Ramokgopha | 91104 | 11.22 | 15,806 | Northern Sotho
row 5 : Manthata | 91105 | 12.24 | 22,121 | Northern Sotho
row 6 : Moletji | 91107 | 11.66 | 4,989 | Northern Sotho
row 7 : Sekgosese | 91108 | 349.99 | 46,749 | Northern Sotho
row 8 : Sekhokho | 91109 | 1.24 | 1,852 | Northern Sotho
row 9 : Soekmekaar | 91110 | 1.06 | 217 | Northern Sotho
row 10 : Remainder of the municipality | 91106 | 2,944.04 | 10,463 | Northern Sotho

what are the three largest areas> which has the largest?

Answer: Sekgosese
Please answer a question about the following table 

header: Rank | Nation | Gold | Silver | Bronze | Total row 1 : 1 | Australia (AUS) | 2 | 1 | 0 | 3
row 2 : 2 | Italy (ITA) | 1 | 1 | 1 | 3
row 3 : 3 | Germany (EUA) | 1 | 0 | 1 | 2
row 4 : 4 | Soviet Union (URS) | 1 | 0 | 0 | 1
row 5 : 5 | Switzerland (SUI) | 0 | 2 | 1 | 3
row 6 : 6 | United States (USA) | 0 | 1 | 0 | 1
row 7 : 7 | Great Britain (GBR) | 0 | 0 | 1 | 1
row 8 : 7 | France (FRA) | 0 | 0 | 1 | 1

how many gold medals did italy win?

Answer: 1
Please answer a question about the following table 

header: Rank | Nation | Gold | Silver | Bronze | Total row 1 : 1 | Australia (AUS) | 2 | 1 | 0 | 3
row 2 : 2 | Italy (ITA) | 1 | 1 | 1 | 3
row 3 : 3 | Germany (EUA) | 1 | 0 | 1 | 2
row 4 : 4 | Soviet Union (URS) | 1 | 0 | 0 | 1
row 5 : 5 | Switzerland (SUI) | 0 | 2 | 1 | 3
row 6 : 6 | United States (USA) | 0 | 1 | 0 | 1
row 7 : 7 | Great Britain (GBR) | 0 | 0 | 1 | 1
row 8 : 7 | France (FRA) | 0 | 0 | 1 | 1

how many gold medals did italy win? what other country won 1 gold medal?

Answer: Germany (EUA)
Please answer a question about the following table 

header: Rank | Nation | Gold | Silver | Bronze | Total row 1 : 1 | Australia (AUS) | 2 | 1 | 0 | 3
row 2 : 2 | Italy (ITA) | 1 | 1 | 1 | 3
row 3 : 3 | Germany (EUA) | 1 | 0 | 1 | 2
row 4 : 4 | Soviet Union (URS) | 1 | 0 | 0 | 1
row 5 : 5 | Switzerland (SUI) | 0 | 2 | 1 | 3
row 6 : 6 | United States (USA) | 0 | 1 | 0 | 1
row 7 : 7 | Great Britain (GBR) | 0 | 0 | 1 | 1
row 8 : 7 | France (FRA) | 0 | 0 | 1 | 1

how many gold medals did italy receive?

Answer: 1
Please answer a question about the following table 

header: Rank | Nation | Gold | Silver | Bronze | Total row 1 : 1 | Australia (AUS) | 2 | 1 | 0 | 3
row 2 : 2 | Italy (ITA) | 1 | 1 | 1 | 3
row 3 : 3 | Germany (EUA) | 1 | 0 | 1 | 2
row 4 : 4 | Soviet Union (URS) | 1 | 0 | 0 | 1
row 5 : 5 | Switzerland (SUI) | 0 | 2 | 1 | 3
row 6 : 6 | United States (USA) | 0 | 1 | 0 | 1
row 7 : 7 | Great Britain (GBR) | 0 | 0 | 1 | 1
row 8 : 7 | France (FRA) | 0 | 0 | 1 | 1

how many gold medals did italy receive? what other countries received 1 gold medal?

Answer: Germany (EUA), Soviet Union (URS)
Please answer a question about the following table 

header: Rank | Nation | Gold | Silver | Bronze | Total row 1 : 1 | Australia (AUS) | 2 | 1 | 0 | 3
row 2 : 2 | Italy (ITA) | 1 | 1 | 1 | 3
row 3 : 3 | Germany (EUA) | 1 | 0 | 1 | 2
row 4 : 4 | Soviet Union (URS) | 1 | 0 | 0 | 1
row 5 : 5 | Switzerland (SUI) | 0 | 2 | 1 | 3
row 6 : 6 | United States (USA) | 0 | 1 | 0 | 1
row 7 : 7 | Great Britain (GBR) | 0 | 0 | 1 | 1
row 8 : 7 | France (FRA) | 0 | 0 | 1 | 1

how many gold medals did italy receive? what other countries received 1 gold medal? of these, which country received more total medals?

Answer: Germany (EUA)
Please answer a question about the following table 

header: Rank | Nation | Gold | Silver | Bronze | Total row 1 : 1 | Australia (AUS) | 2 | 1 | 0 | 3
row 2 : 2 | Italy (ITA) | 1 | 1 | 1 | 3
row 3 : 3 | Germany (EUA) | 1 | 0 | 1 | 2
row 4 : 4 | Soviet Union (URS) | 1 | 0 | 0 | 1
row 5 : 5 | Switzerland (SUI) | 0 | 2 | 1 | 3
row 6 : 6 | United States (USA) | 0 | 1 | 0 | 1
row 7 : 7 | Great Britain (GBR) | 0 | 0 | 1 | 1
row 8 : 7 | France (FRA) | 0 | 0 | 1 | 1

which nations participated?

Answer: Australia (AUS), Italy (ITA), Germany (EUA), Soviet Union (URS), Switzerland (SUI), United States (USA), Great Britain (GBR), France (FRA)
Please answer a question about the following table 

header: Rank | Nation | Gold | Silver | Bronze | Total row 1 : 1 | Australia (AUS) | 2 | 1 | 0 | 3
row 2 : 2 | Italy (ITA) | 1 | 1 | 1 | 3
row 3 : 3 | Germany (EUA) | 1 | 0 | 1 | 2
row 4 : 4 | Soviet Union (URS) | 1 | 0 | 0 | 1
row 5 : 5 | Switzerland (SUI) | 0 | 2 | 1 | 3
row 6 : 6 | United States (USA) | 0 | 1 | 0 | 1
row 7 : 7 | Great Britain (GBR) | 0 | 0 | 1 | 1
row 8 : 7 | France (FRA) | 0 | 0 | 1 | 1

which nations participated? how many gold medals did they earn?

Answer: 2, 1, 1, 1, 0, 0, 0, 0
Please answer a question about the following table 

header: Rank | Nation | Gold | Silver | Bronze | Total row 1 : 1 | Australia (AUS) | 2 | 1 | 0 | 3
row 2 : 2 | Italy (ITA) | 1 | 1 | 1 | 3
row 3 : 3 | Germany (EUA) | 1 | 0 | 1 | 2
row 4 : 4 | Soviet Union (URS) | 1 | 0 | 0 | 1
row 5 : 5 | Switzerland (SUI) | 0 | 2 | 1 | 3
row 6 : 6 | United States (USA) | 0 | 1 | 0 | 1
row 7 : 7 | Great Britain (GBR) | 0 | 0 | 1 | 1
row 8 : 7 | France (FRA) | 0 | 0 | 1 | 1

which nations participated? how many gold medals did they earn? what about just italy?

Answer: 1
Please answer a question about the following table 

header: Rank | Nation | Gold | Silver | Bronze | Total row 1 : 1 | Australia (AUS) | 2 | 1 | 0 | 3
row 2 : 2 | Italy (ITA) | 1 | 1 | 1 | 3
row 3 : 3 | Germany (EUA) | 1 | 0 | 1 | 2
row 4 : 4 | Soviet Union (URS) | 1 | 0 | 0 | 1
row 5 : 5 | Switzerland (SUI) | 0 | 2 | 1 | 3
row 6 : 6 | United States (USA) | 0 | 1 | 0 | 1
row 7 : 7 | Great Britain (GBR) | 0 | 0 | 1 | 1
row 8 : 7 | France (FRA) | 0 | 0 | 1 | 1

which nations participated? how many gold medals did they earn? what about just italy? and which nation won the same amount after italy?

Answer: Germany (EUA)
Please answer a question about the following table 

header: Rank | Name | Club | Nationality | Points row 1 : 1 | Eusebio | Benfica | Portugal | 67
row 2 : 2 | Giacinto Facchetti | Internazionale | Italy | 59
row 3 : 3 | Luis Suarez | Internazionale | Spain | 45
row 4 : 4 | Paul Van Himst | Anderlecht | Belgium | 25
row 5 : 5 | Bobby Charlton | Manchester United | England | 19
row 6 : 6 | Florian Albert | Ferencvarosi | Hungary | 14
row 7 : 7 | Gianni Rivera | Milan | Italy | 10
row 8 : 8 | Georgi Asparuhov | Levski Sofia | Bulgaria | 9
row 9 : 8 | Alessandro Mazzola | Internazionale | Italy | 9
row 10 : 8 | Valery Voronin | Torpedo Moskva | Soviet Union | 9
row 11 : 11 | Denis Law | Manchester United | Scotland | 8
row 12 : 12 | Karl-Heinz Schnellinger | Milan | West Germany | 6
row 13 : 13 | Ferenc Puskas | Real Madrid | Spain | 5
row 14 : 13 | Jim Baxter | Sunderland | Scotland | 5
row 15 : 15 | Mario Corso | Internazionale | Italy | 3
row 16 : 15 | Lev Yashin | Dynamo Moscow | Soviet Union | 3
row 17 : 17 | Mario Coluna | Benfica | Portugal | 2
row 18 : 17 | Amancio Amaro | Real Madrid | Spain | 2
row 19 : 17 | Franz Beckenbauer | Bayern Munich | West Germany | 2
row 20 : 17 | Milan Galic | Partizan Beograd | Yugoslavia | 2
row 21 : 17 | Philippe Gondet | Nantes | France | 2
row 22 : 17 | Andrej Kvasnak | Sparta Praha | Czechoslovakia | 2
row 23 : 17 | Ferenc Bene | Ujpest Dozsa | Hungary | 2
row 24 : 17 | Slava Metreveli | Dinamo Tbilisi | Soviet Union | 2
row 25 : 25 | Ivor Allchurch | Cardiff City | Wales | 1
row 26 : 25 | Jakob Kuhn | Zurich | Switzerland | 1
row 27 : 25 | Sigfried Held | Borussia Dortmund | West Germany | 1

what are all of the names?

Answer: Eusebio, Giacinto Facchetti, Luis Suarez, Paul Van Himst, Bobby Charlton, Florian Albert, Gianni Rivera, Georgi Asparuhov, Alessandro Mazzola, Valery Voronin, Denis Law, Karl-Heinz Schnellinger, Ferenc Puskas, Jim Baxter, Mario Corso, Lev Yashin, Mario Coluna, Amancio Amaro, Franz Beckenbauer, Milan Galic, Philippe Gondet, Andrej Kvasnak, Ferenc Bene, Slava Metreveli, Ivor Allchurch, Jakob Kuhn, Sigfried Held
Please answer a question about the following table 

header: Rank | Name | Club | Nationality | Points row 1 : 1 | Eusebio | Benfica | Portugal | 67
row 2 : 2 | Giacinto Facchetti | Internazionale | Italy | 59
row 3 : 3 | Luis Suarez | Internazionale | Spain | 45
row 4 : 4 | Paul Van Himst | Anderlecht | Belgium | 25
row 5 : 5 | Bobby Charlton | Manchester United | England | 19
row 6 : 6 | Florian Albert | Ferencvarosi | Hungary | 14
row 7 : 7 | Gianni Rivera | Milan | Italy | 10
row 8 : 8 | Georgi Asparuhov | Levski Sofia | Bulgaria | 9
row 9 : 8 | Alessandro Mazzola | Internazionale | Italy | 9
row 10 : 8 | Valery Voronin | Torpedo Moskva | Soviet Union | 9
row 11 : 11 | Denis Law | Manchester United | Scotland | 8
row 12 : 12 | Karl-Heinz Schnellinger | Milan | West Germany | 6
row 13 : 13 | Ferenc Puskas | Real Madrid | Spain | 5
row 14 : 13 | Jim Baxter | Sunderland | Scotland | 5
row 15 : 15 | Mario Corso | Internazionale | Italy | 3
row 16 : 15 | Lev Yashin | Dynamo Moscow | Soviet Union | 3
row 17 : 17 | Mario Coluna | Benfica | Portugal | 2
row 18 : 17 | Amancio Amaro | Real Madrid | Spain | 2
row 19 : 17 | Franz Beckenbauer | Bayern Munich | West Germany | 2
row 20 : 17 | Milan Galic | Partizan Beograd | Yugoslavia | 2
row 21 : 17 | Philippe Gondet | Nantes | France | 2
row 22 : 17 | Andrej Kvasnak | Sparta Praha | Czechoslovakia | 2
row 23 : 17 | Ferenc Bene | Ujpest Dozsa | Hungary | 2
row 24 : 17 | Slava Metreveli | Dinamo Tbilisi | Soviet Union | 2
row 25 : 25 | Ivor Allchurch | Cardiff City | Wales | 1
row 26 : 25 | Jakob Kuhn | Zurich | Switzerland | 1
row 27 : 25 | Sigfried Held | Borussia Dortmund | West Germany | 1

what are all of the names? where are they from?

Answer: Portugal, Italy, Spain, Belgium, England, Hungary, Italy, Bulgaria, Italy, Soviet Union, Scotland, West Germany, Spain, Scotland, Italy, Soviet Union, Portugal, Spain, West Germany, Yugoslavia, France, Czechoslovakia, Hungary, Soviet Union, Wales, Switzerland, West Germany
Please answer a question about the following table 

header: Rank | Name | Club | Nationality | Points row 1 : 1 | Eusebio | Benfica | Portugal | 67
row 2 : 2 | Giacinto Facchetti | Internazionale | Italy | 59
row 3 : 3 | Luis Suarez | Internazionale | Spain | 45
row 4 : 4 | Paul Van Himst | Anderlecht | Belgium | 25
row 5 : 5 | Bobby Charlton | Manchester United | England | 19
row 6 : 6 | Florian Albert | Ferencvarosi | Hungary | 14
row 7 : 7 | Gianni Rivera | Milan | Italy | 10
row 8 : 8 | Georgi Asparuhov | Levski Sofia | Bulgaria | 9
row 9 : 8 | Alessandro Mazzola | Internazionale | Italy | 9
row 10 : 8 | Valery Voronin | Torpedo Moskva | Soviet Union | 9
row 11 : 11 | Denis Law | Manchester United | Scotland | 8
row 12 : 12 | Karl-Heinz Schnellinger | Milan | West Germany | 6
row 13 : 13 | Ferenc Puskas | Real Madrid | Spain | 5
row 14 : 13 | Jim Baxter | Sunderland | Scotland | 5
row 15 : 15 | Mario Corso | Internazionale | Italy | 3
row 16 : 15 | Lev Yashin | Dynamo Moscow | Soviet Union | 3
row 17 : 17 | Mario Coluna | Benfica | Portugal | 2
row 18 : 17 | Amancio Amaro | Real Madrid | Spain | 2
row 19 : 17 | Franz Beckenbauer | Bayern Munich | West Germany | 2
row 20 : 17 | Milan Galic | Partizan Beograd | Yugoslavia | 2
row 21 : 17 | Philippe Gondet | Nantes | France | 2
row 22 : 17 | Andrej Kvasnak | Sparta Praha | Czechoslovakia | 2
row 23 : 17 | Ferenc Bene | Ujpest Dozsa | Hungary | 2
row 24 : 17 | Slava Metreveli | Dinamo Tbilisi | Soviet Union | 2
row 25 : 25 | Ivor Allchurch | Cardiff City | Wales | 1
row 26 : 25 | Jakob Kuhn | Zurich | Switzerland | 1
row 27 : 25 | Sigfried Held | Borussia Dortmund | West Germany | 1

what are all of the names? where are they from? and which is from bulgaria?

Answer: Georgi Asparuhov
Please answer a question about the following table 

header: Rank | Name | Club | Nationality | Points row 1 : 1 | Eusebio | Benfica | Portugal | 67
row 2 : 2 | Giacinto Facchetti | Internazionale | Italy | 59
row 3 : 3 | Luis Suarez | Internazionale | Spain | 45
row 4 : 4 | Paul Van Himst | Anderlecht | Belgium | 25
row 5 : 5 | Bobby Charlton | Manchester United | England | 19
row 6 : 6 | Florian Albert | Ferencvarosi | Hungary | 14
row 7 : 7 | Gianni Rivera | Milan | Italy | 10
row 8 : 8 | Georgi Asparuhov | Levski Sofia | Bulgaria | 9
row 9 : 8 | Alessandro Mazzola | Internazionale | Italy | 9
row 10 : 8 | Valery Voronin | Torpedo Moskva | Soviet Union | 9
row 11 : 11 | Denis Law | Manchester United | Scotland | 8
row 12 : 12 | Karl-Heinz Schnellinger | Milan | West Germany | 6
row 13 : 13 | Ferenc Puskas | Real Madrid | Spain | 5
row 14 : 13 | Jim Baxter | Sunderland | Scotland | 5
row 15 : 15 | Mario Corso | Internazionale | Italy | 3
row 16 : 15 | Lev Yashin | Dynamo Moscow | Soviet Union | 3
row 17 : 17 | Mario Coluna | Benfica | Portugal | 2
row 18 : 17 | Amancio Amaro | Real Madrid | Spain | 2
row 19 : 17 | Franz Beckenbauer | Bayern Munich | West Germany | 2
row 20 : 17 | Milan Galic | Partizan Beograd | Yugoslavia | 2
row 21 : 17 | Philippe Gondet | Nantes | France | 2
row 22 : 17 | Andrej Kvasnak | Sparta Praha | Czechoslovakia | 2
row 23 : 17 | Ferenc Bene | Ujpest Dozsa | Hungary | 2
row 24 : 17 | Slava Metreveli | Dinamo Tbilisi | Soviet Union | 2
row 25 : 25 | Ivor Allchurch | Cardiff City | Wales | 1
row 26 : 25 | Jakob Kuhn | Zurich | Switzerland | 1
row 27 : 25 | Sigfried Held | Borussia Dortmund | West Germany | 1

where are the players from?

Answer: Portugal, Italy, Spain, Belgium, England, Hungary, Italy, Bulgaria, Italy, Soviet Union, Scotland, West Germany, Spain, Scotland, Italy, Soviet Union, Portugal, Spain, West Germany, Yugoslavia, France, Czechoslovakia, Hungary, Soviet Union, Wales, Switzerland, West Germany
Please answer a question about the following table 

header: Rank | Name | Club | Nationality | Points row 1 : 1 | Eusebio | Benfica | Portugal | 67
row 2 : 2 | Giacinto Facchetti | Internazionale | Italy | 59
row 3 : 3 | Luis Suarez | Internazionale | Spain | 45
row 4 : 4 | Paul Van Himst | Anderlecht | Belgium | 25
row 5 : 5 | Bobby Charlton | Manchester United | England | 19
row 6 : 6 | Florian Albert | Ferencvarosi | Hungary | 14
row 7 : 7 | Gianni Rivera | Milan | Italy | 10
row 8 : 8 | Georgi Asparuhov | Levski Sofia | Bulgaria | 9
row 9 : 8 | Alessandro Mazzola | Internazionale | Italy | 9
row 10 : 8 | Valery Voronin | Torpedo Moskva | Soviet Union | 9
row 11 : 11 | Denis Law | Manchester United | Scotland | 8
row 12 : 12 | Karl-Heinz Schnellinger | Milan | West Germany | 6
row 13 : 13 | Ferenc Puskas | Real Madrid | Spain | 5
row 14 : 13 | Jim Baxter | Sunderland | Scotland | 5
row 15 : 15 | Mario Corso | Internazionale | Italy | 3
row 16 : 15 | Lev Yashin | Dynamo Moscow | Soviet Union | 3
row 17 : 17 | Mario Coluna | Benfica | Portugal | 2
row 18 : 17 | Amancio Amaro | Real Madrid | Spain | 2
row 19 : 17 | Franz Beckenbauer | Bayern Munich | West Germany | 2
row 20 : 17 | Milan Galic | Partizan Beograd | Yugoslavia | 2
row 21 : 17 | Philippe Gondet | Nantes | France | 2
row 22 : 17 | Andrej Kvasnak | Sparta Praha | Czechoslovakia | 2
row 23 : 17 | Ferenc Bene | Ujpest Dozsa | Hungary | 2
row 24 : 17 | Slava Metreveli | Dinamo Tbilisi | Soviet Union | 2
row 25 : 25 | Ivor Allchurch | Cardiff City | Wales | 1
row 26 : 25 | Jakob Kuhn | Zurich | Switzerland | 1
row 27 : 25 | Sigfried Held | Borussia Dortmund | West Germany | 1

where are the players from? what is the name of the player from bulgaria?

Answer: Georgi Asparuhov