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

header: Hand | Auto | Wind | Athlete | Nationality | Birthdate | Location | Date row 1 : nan | 10.26 | 2.3 | Troy Douglas | Netherlands | 30.11.1962 | Utrecht | 10.07.2004
row 2 : nan | 10.29 | 1.9 | Troy Douglas | Netherlands | 30.11.1962 | Leiden | 07.06.2003
row 3 : nan | 10.6 | nan | Bill Collins | United States | 20.11.1950 | nan | 06.06.1992
row 4 : nan | 10.84 | 1.8 | Erik Oostweegel | Netherlands | 29.04.1960 | Tilburg | 10.06.2000
row 5 : nan | 10.87 | nan | Eddie Hart | United States | 24.04.1949 | Eugene | 03.08.1989
row 6 : nan | 10.9 | nan | Thaddeus Bell | United States | 28.11.1942 | Raleigh | 01.05.1988
row 7 : nan | 10.93 | 0.6 | Gilles Echevin | France | 01.09.1948 | Grenoble | 07.05.1989
row 8 : 10.7 | nan | nan | Klaus Jurgen Schneider | Germany | 02.03.1942 | Stuttgart | 07.07.1982
row 9 : 10.7 | nan | nan | Walt Butler | United States | 21.03.1941 | Northridge | 16.05.1981
row 10 : 10.7 | nan | nan | Thane Baker | United States | 04.10.1931 | Elkhart | 13.09.1972
row 11 : nan | 10.95 | nan | George McNeill | United Kingdom | 19.02.1947 | Melbourne | 31.11.1987
row 12 : nan | 10.95 | nan | Karl Heinz Schroder | Germany | 17.06.1939 | Hannover | 28.07.1979

what are the names of all of the athletes? what are all of the countries athletes come from? what country does schroder come from? what other athlete comes from germany?

Answer: Klaus Jurgen Schneider
Please answer a question about the following table 

header: Hand | Auto | Wind | Athlete | Nationality | Birthdate | Location | Date row 1 : nan | 10.26 | 2.3 | Troy Douglas | Netherlands | 30.11.1962 | Utrecht | 10.07.2004
row 2 : nan | 10.29 | 1.9 | Troy Douglas | Netherlands | 30.11.1962 | Leiden | 07.06.2003
row 3 : nan | 10.6 | nan | Bill Collins | United States | 20.11.1950 | nan | 06.06.1992
row 4 : nan | 10.84 | 1.8 | Erik Oostweegel | Netherlands | 29.04.1960 | Tilburg | 10.06.2000
row 5 : nan | 10.87 | nan | Eddie Hart | United States | 24.04.1949 | Eugene | 03.08.1989
row 6 : nan | 10.9 | nan | Thaddeus Bell | United States | 28.11.1942 | Raleigh | 01.05.1988
row 7 : nan | 10.93 | 0.6 | Gilles Echevin | France | 01.09.1948 | Grenoble | 07.05.1989
row 8 : 10.7 | nan | nan | Klaus Jurgen Schneider | Germany | 02.03.1942 | Stuttgart | 07.07.1982
row 9 : 10.7 | nan | nan | Walt Butler | United States | 21.03.1941 | Northridge | 16.05.1981
row 10 : 10.7 | nan | nan | Thane Baker | United States | 04.10.1931 | Elkhart | 13.09.1972
row 11 : nan | 10.95 | nan | George McNeill | United Kingdom | 19.02.1947 | Melbourne | 31.11.1987
row 12 : nan | 10.95 | nan | Karl Heinz Schroder | Germany | 17.06.1939 | Hannover | 28.07.1979

who are all of the athletes? where are they from?

Answer: Netherlands, Netherlands, United States, Netherlands, United States, United States, France, Germany, United States, United States, United Kingdom, Germany
Please answer a question about the following table 

header: Hand | Auto | Wind | Athlete | Nationality | Birthdate | Location | Date row 1 : nan | 10.26 | 2.3 | Troy Douglas | Netherlands | 30.11.1962 | Utrecht | 10.07.2004
row 2 : nan | 10.29 | 1.9 | Troy Douglas | Netherlands | 30.11.1962 | Leiden | 07.06.2003
row 3 : nan | 10.6 | nan | Bill Collins | United States | 20.11.1950 | nan | 06.06.1992
row 4 : nan | 10.84 | 1.8 | Erik Oostweegel | Netherlands | 29.04.1960 | Tilburg | 10.06.2000
row 5 : nan | 10.87 | nan | Eddie Hart | United States | 24.04.1949 | Eugene | 03.08.1989
row 6 : nan | 10.9 | nan | Thaddeus Bell | United States | 28.11.1942 | Raleigh | 01.05.1988
row 7 : nan | 10.93 | 0.6 | Gilles Echevin | France | 01.09.1948 | Grenoble | 07.05.1989
row 8 : 10.7 | nan | nan | Klaus Jurgen Schneider | Germany | 02.03.1942 | Stuttgart | 07.07.1982
row 9 : 10.7 | nan | nan | Walt Butler | United States | 21.03.1941 | Northridge | 16.05.1981
row 10 : 10.7 | nan | nan | Thane Baker | United States | 04.10.1931 | Elkhart | 13.09.1972
row 11 : nan | 10.95 | nan | George McNeill | United Kingdom | 19.02.1947 | Melbourne | 31.11.1987
row 12 : nan | 10.95 | nan | Karl Heinz Schroder | Germany | 17.06.1939 | Hannover | 28.07.1979

who are all of the athletes? where are they from? along with karl heinz schroder, which other athlete is from germany?

Answer: Klaus Jurgen Schneider
Please answer a question about the following table 

header: Naturalisations by origin | 2000 | 2005 | 2009 | % Total 2009 row 1 : Africa | 84 182 | 98 453 | 85 144 | 62.7
row 2 : Maghreb | 68 185 | 75 224 | 56 024 | 41.2
row 3 : Sub-Saharan Africa | 10 622 | 15 624 | 22 214 | 16.4
row 4 : Other Africa | 5 375 | 7 605 | 6 906 | 5.1
row 5 : Asia | 27 941 | 26 286 | 19 494 | 14.4
row 6 : South-East Asia | 7 265 | 4 069 | 2 475 | 1.8
row 7 : East Asia | 1 139 | 1 280 | 1 622 | 1.2
row 8 : South Asia | 4 246 | 4 436 | 3 660 | 2.7
row 9 : Other Asia | 15 291 | 16 501 | 11 737 | 8.6
row 10 : Europe (not including CIS ) | 22 085 | 18 072 | 14 753 | 10.9
row 11 : CIS | 1 181 | 2 108 | 4 704 | 3.5
row 12 : CIS (Europe) | 1 000 | 1 535 | 4 454 | 3.3
row 13 : CIS (Asia) | 181 | 573 | 250 | 0.2
row 14 : America | 5 668 | 6 352 | 6 677 | 4.9
row 15 : North America | 1 048 | 854 | 747 | 0.5
row 16 : South and Central America | 4 620 | 5 498 | 5 930 | 4.4
row 17 : Oceania | 87 | 127 | 108 | 0.1
row 18 : Others | 8 882 | 3 245 | 4 962 | 3.7
row 19 : Total | 150 026 | 154 643 | 135 842 | 100.0

what are all of the origins?

Answer: Africa, Maghreb, Sub-Saharan Africa, Other Africa, Asia, South-East Asia, East Asia, South Asia, Other Asia, Europe (not including CIS ), CIS, CIS (Europe), CIS (Asia), America, North America, South and Central America, Oceania, Others
Please answer a question about the following table 

header: Naturalisations by origin | 2000 | 2005 | 2009 | % Total 2009 row 1 : Africa | 84 182 | 98 453 | 85 144 | 62.7
row 2 : Maghreb | 68 185 | 75 224 | 56 024 | 41.2
row 3 : Sub-Saharan Africa | 10 622 | 15 624 | 22 214 | 16.4
row 4 : Other Africa | 5 375 | 7 605 | 6 906 | 5.1
row 5 : Asia | 27 941 | 26 286 | 19 494 | 14.4
row 6 : South-East Asia | 7 265 | 4 069 | 2 475 | 1.8
row 7 : East Asia | 1 139 | 1 280 | 1 622 | 1.2
row 8 : South Asia | 4 246 | 4 436 | 3 660 | 2.7
row 9 : Other Asia | 15 291 | 16 501 | 11 737 | 8.6
row 10 : Europe (not including CIS ) | 22 085 | 18 072 | 14 753 | 10.9
row 11 : CIS | 1 181 | 2 108 | 4 704 | 3.5
row 12 : CIS (Europe) | 1 000 | 1 535 | 4 454 | 3.3
row 13 : CIS (Asia) | 181 | 573 | 250 | 0.2
row 14 : America | 5 668 | 6 352 | 6 677 | 4.9
row 15 : North America | 1 048 | 854 | 747 | 0.5
row 16 : South and Central America | 4 620 | 5 498 | 5 930 | 4.4
row 17 : Oceania | 87 | 127 | 108 | 0.1
row 18 : Others | 8 882 | 3 245 | 4 962 | 3.7
row 19 : Total | 150 026 | 154 643 | 135 842 | 100.0

what are all of the origins? what was total percentage for each in 2009?

Answer: 62.7, 41.2, 16.4, 5.1, 14.4, 1.8, 1.2, 2.7, 8.6, 10.9, 3.5, 3.3, 0.2, 4.9, 0.5, 4.4, 0.1, 3.7
Please answer a question about the following table 

header: Naturalisations by origin | 2000 | 2005 | 2009 | % Total 2009 row 1 : Africa | 84 182 | 98 453 | 85 144 | 62.7
row 2 : Maghreb | 68 185 | 75 224 | 56 024 | 41.2
row 3 : Sub-Saharan Africa | 10 622 | 15 624 | 22 214 | 16.4
row 4 : Other Africa | 5 375 | 7 605 | 6 906 | 5.1
row 5 : Asia | 27 941 | 26 286 | 19 494 | 14.4
row 6 : South-East Asia | 7 265 | 4 069 | 2 475 | 1.8
row 7 : East Asia | 1 139 | 1 280 | 1 622 | 1.2
row 8 : South Asia | 4 246 | 4 436 | 3 660 | 2.7
row 9 : Other Asia | 15 291 | 16 501 | 11 737 | 8.6
row 10 : Europe (not including CIS ) | 22 085 | 18 072 | 14 753 | 10.9
row 11 : CIS | 1 181 | 2 108 | 4 704 | 3.5
row 12 : CIS (Europe) | 1 000 | 1 535 | 4 454 | 3.3
row 13 : CIS (Asia) | 181 | 573 | 250 | 0.2
row 14 : America | 5 668 | 6 352 | 6 677 | 4.9
row 15 : North America | 1 048 | 854 | 747 | 0.5
row 16 : South and Central America | 4 620 | 5 498 | 5 930 | 4.4
row 17 : Oceania | 87 | 127 | 108 | 0.1
row 18 : Others | 8 882 | 3 245 | 4 962 | 3.7
row 19 : Total | 150 026 | 154 643 | 135 842 | 100.0

what are all of the origins? what was total percentage for each in 2009? and which had the smallest percentage?

Answer: Oceania
Please answer a question about the following table 

header: Naturalisations by origin | 2000 | 2005 | 2009 | % Total 2009 row 1 : Africa | 84 182 | 98 453 | 85 144 | 62.7
row 2 : Maghreb | 68 185 | 75 224 | 56 024 | 41.2
row 3 : Sub-Saharan Africa | 10 622 | 15 624 | 22 214 | 16.4
row 4 : Other Africa | 5 375 | 7 605 | 6 906 | 5.1
row 5 : Asia | 27 941 | 26 286 | 19 494 | 14.4
row 6 : South-East Asia | 7 265 | 4 069 | 2 475 | 1.8
row 7 : East Asia | 1 139 | 1 280 | 1 622 | 1.2
row 8 : South Asia | 4 246 | 4 436 | 3 660 | 2.7
row 9 : Other Asia | 15 291 | 16 501 | 11 737 | 8.6
row 10 : Europe (not including CIS ) | 22 085 | 18 072 | 14 753 | 10.9
row 11 : CIS | 1 181 | 2 108 | 4 704 | 3.5
row 12 : CIS (Europe) | 1 000 | 1 535 | 4 454 | 3.3
row 13 : CIS (Asia) | 181 | 573 | 250 | 0.2
row 14 : America | 5 668 | 6 352 | 6 677 | 4.9
row 15 : North America | 1 048 | 854 | 747 | 0.5
row 16 : South and Central America | 4 620 | 5 498 | 5 930 | 4.4
row 17 : Oceania | 87 | 127 | 108 | 0.1
row 18 : Others | 8 882 | 3 245 | 4 962 | 3.7
row 19 : Total | 150 026 | 154 643 | 135 842 | 100.0

which places are shows on the immigration to france list?

Answer: Africa, Maghreb, Sub-Saharan Africa, Other Africa, Asia, South-East Asia, East Asia, South Asia, Other Asia, Europe (not including CIS ), CIS, CIS (Europe), CIS (Asia), America, North America, South and Central America, Oceania, Others
Please answer a question about the following table 

header: Naturalisations by origin | 2000 | 2005 | 2009 | % Total 2009 row 1 : Africa | 84 182 | 98 453 | 85 144 | 62.7
row 2 : Maghreb | 68 185 | 75 224 | 56 024 | 41.2
row 3 : Sub-Saharan Africa | 10 622 | 15 624 | 22 214 | 16.4
row 4 : Other Africa | 5 375 | 7 605 | 6 906 | 5.1
row 5 : Asia | 27 941 | 26 286 | 19 494 | 14.4
row 6 : South-East Asia | 7 265 | 4 069 | 2 475 | 1.8
row 7 : East Asia | 1 139 | 1 280 | 1 622 | 1.2
row 8 : South Asia | 4 246 | 4 436 | 3 660 | 2.7
row 9 : Other Asia | 15 291 | 16 501 | 11 737 | 8.6
row 10 : Europe (not including CIS ) | 22 085 | 18 072 | 14 753 | 10.9
row 11 : CIS | 1 181 | 2 108 | 4 704 | 3.5
row 12 : CIS (Europe) | 1 000 | 1 535 | 4 454 | 3.3
row 13 : CIS (Asia) | 181 | 573 | 250 | 0.2
row 14 : America | 5 668 | 6 352 | 6 677 | 4.9
row 15 : North America | 1 048 | 854 | 747 | 0.5
row 16 : South and Central America | 4 620 | 5 498 | 5 930 | 4.4
row 17 : Oceania | 87 | 127 | 108 | 0.1
row 18 : Others | 8 882 | 3 245 | 4 962 | 3.7
row 19 : Total | 150 026 | 154 643 | 135 842 | 100.0

which places are shows on the immigration to france list? for 2009 who shows the least percentage for 2009?

Answer: Oceania
Please answer a question about the following table 

header: Naturalisations by origin | 2000 | 2005 | 2009 | % Total 2009 row 1 : Africa | 84 182 | 98 453 | 85 144 | 62.7
row 2 : Maghreb | 68 185 | 75 224 | 56 024 | 41.2
row 3 : Sub-Saharan Africa | 10 622 | 15 624 | 22 214 | 16.4
row 4 : Other Africa | 5 375 | 7 605 | 6 906 | 5.1
row 5 : Asia | 27 941 | 26 286 | 19 494 | 14.4
row 6 : South-East Asia | 7 265 | 4 069 | 2 475 | 1.8
row 7 : East Asia | 1 139 | 1 280 | 1 622 | 1.2
row 8 : South Asia | 4 246 | 4 436 | 3 660 | 2.7
row 9 : Other Asia | 15 291 | 16 501 | 11 737 | 8.6
row 10 : Europe (not including CIS ) | 22 085 | 18 072 | 14 753 | 10.9
row 11 : CIS | 1 181 | 2 108 | 4 704 | 3.5
row 12 : CIS (Europe) | 1 000 | 1 535 | 4 454 | 3.3
row 13 : CIS (Asia) | 181 | 573 | 250 | 0.2
row 14 : America | 5 668 | 6 352 | 6 677 | 4.9
row 15 : North America | 1 048 | 854 | 747 | 0.5
row 16 : South and Central America | 4 620 | 5 498 | 5 930 | 4.4
row 17 : Oceania | 87 | 127 | 108 | 0.1
row 18 : Others | 8 882 | 3 245 | 4 962 | 3.7
row 19 : Total | 150 026 | 154 643 | 135 842 | 100.0

what are the different nationalities of all the people who immigrated to france in 2009?

Answer: Africa, Maghreb, Sub-Saharan Africa, Other Africa, Asia, South-East Asia, East Asia, South Asia, Other Asia, Europe (not including CIS ), CIS, CIS (Europe), CIS (Asia), America, North America, South and Central America, Oceania, Others
Please answer a question about the following table 

header: Naturalisations by origin | 2000 | 2005 | 2009 | % Total 2009 row 1 : Africa | 84 182 | 98 453 | 85 144 | 62.7
row 2 : Maghreb | 68 185 | 75 224 | 56 024 | 41.2
row 3 : Sub-Saharan Africa | 10 622 | 15 624 | 22 214 | 16.4
row 4 : Other Africa | 5 375 | 7 605 | 6 906 | 5.1
row 5 : Asia | 27 941 | 26 286 | 19 494 | 14.4
row 6 : South-East Asia | 7 265 | 4 069 | 2 475 | 1.8
row 7 : East Asia | 1 139 | 1 280 | 1 622 | 1.2
row 8 : South Asia | 4 246 | 4 436 | 3 660 | 2.7
row 9 : Other Asia | 15 291 | 16 501 | 11 737 | 8.6
row 10 : Europe (not including CIS ) | 22 085 | 18 072 | 14 753 | 10.9
row 11 : CIS | 1 181 | 2 108 | 4 704 | 3.5
row 12 : CIS (Europe) | 1 000 | 1 535 | 4 454 | 3.3
row 13 : CIS (Asia) | 181 | 573 | 250 | 0.2
row 14 : America | 5 668 | 6 352 | 6 677 | 4.9
row 15 : North America | 1 048 | 854 | 747 | 0.5
row 16 : South and Central America | 4 620 | 5 498 | 5 930 | 4.4
row 17 : Oceania | 87 | 127 | 108 | 0.1
row 18 : Others | 8 882 | 3 245 | 4 962 | 3.7
row 19 : Total | 150 026 | 154 643 | 135 842 | 100.0

what are the different nationalities of all the people who immigrated to france in 2009? which ones made up less than 50% of all nationalities?

Answer: Maghreb, Sub-Saharan Africa, Other Africa, Asia, South-East Asia, East Asia, South Asia, Other Asia, Europe (not including CIS ), CIS, CIS (Europe), CIS (Asia), America, North America, South and Central America, Oceania, Others
Please answer a question about the following table 

header: Naturalisations by origin | 2000 | 2005 | 2009 | % Total 2009 row 1 : Africa | 84 182 | 98 453 | 85 144 | 62.7
row 2 : Maghreb | 68 185 | 75 224 | 56 024 | 41.2
row 3 : Sub-Saharan Africa | 10 622 | 15 624 | 22 214 | 16.4
row 4 : Other Africa | 5 375 | 7 605 | 6 906 | 5.1
row 5 : Asia | 27 941 | 26 286 | 19 494 | 14.4
row 6 : South-East Asia | 7 265 | 4 069 | 2 475 | 1.8
row 7 : East Asia | 1 139 | 1 280 | 1 622 | 1.2
row 8 : South Asia | 4 246 | 4 436 | 3 660 | 2.7
row 9 : Other Asia | 15 291 | 16 501 | 11 737 | 8.6
row 10 : Europe (not including CIS ) | 22 085 | 18 072 | 14 753 | 10.9
row 11 : CIS | 1 181 | 2 108 | 4 704 | 3.5
row 12 : CIS (Europe) | 1 000 | 1 535 | 4 454 | 3.3
row 13 : CIS (Asia) | 181 | 573 | 250 | 0.2
row 14 : America | 5 668 | 6 352 | 6 677 | 4.9
row 15 : North America | 1 048 | 854 | 747 | 0.5
row 16 : South and Central America | 4 620 | 5 498 | 5 930 | 4.4
row 17 : Oceania | 87 | 127 | 108 | 0.1
row 18 : Others | 8 882 | 3 245 | 4 962 | 3.7
row 19 : Total | 150 026 | 154 643 | 135 842 | 100.0

what are the different nationalities of all the people who immigrated to france in 2009? which ones made up less than 50% of all nationalities? of these, which one made up less than 0.2%?

Answer: Oceania
Please answer a question about the following table 

header: Description Losses | 1939/40 | 1940/41 | 1941/42 | 1942/43 | 1943/44 | 1944/45 | Total row 1 : Direct War Losses | 360,000 | nan | nan | nan | nan | 183,000 | 543,000
row 2 : Murdered | 75,000 | 100,000 | 116,000 | 133,000 | 82,000 | nan | 506,000
row 3 : Deaths In Prisons & Camps | 69,000 | 210,000 | 220,000 | 266,000 | 381,000 | nan | 1,146,000
row 4 : Deaths Outside of Prisons & Camps | nan | 42,000 | 71,000 | 142,000 | 218,000 | nan | 473,000
row 5 : Murdered in Eastern Regions | nan | nan | nan | nan | nan | 100,000 | 100,000
row 6 : Deaths other countries | nan | nan | nan | nan | nan | nan | 2,000
row 7 : Total | 504,000 | 352,000 | 407,000 | 541,000 | 681,000 | 270,000 | 2,770,000

what is the third column?

Answer: Deaths In Prisons & Camps
Please answer a question about the following table 

header: Description Losses | 1939/40 | 1940/41 | 1941/42 | 1942/43 | 1943/44 | 1944/45 | Total row 1 : Direct War Losses | 360,000 | nan | nan | nan | nan | 183,000 | 543,000
row 2 : Murdered | 75,000 | 100,000 | 116,000 | 133,000 | 82,000 | nan | 506,000
row 3 : Deaths In Prisons & Camps | 69,000 | 210,000 | 220,000 | 266,000 | 381,000 | nan | 1,146,000
row 4 : Deaths Outside of Prisons & Camps | nan | 42,000 | 71,000 | 142,000 | 218,000 | nan | 473,000
row 5 : Murdered in Eastern Regions | nan | nan | nan | nan | nan | 100,000 | 100,000
row 6 : Deaths other countries | nan | nan | nan | nan | nan | nan | 2,000
row 7 : Total | 504,000 | 352,000 | 407,000 | 541,000 | 681,000 | 270,000 | 2,770,000

what is the third column? how many people died total?

Answer: 1,146,000
Please answer a question about the following table 

header: Description Losses | 1939/40 | 1940/41 | 1941/42 | 1942/43 | 1943/44 | 1944/45 | Total row 1 : Direct War Losses | 360,000 | nan | nan | nan | nan | 183,000 | 543,000
row 2 : Murdered | 75,000 | 100,000 | 116,000 | 133,000 | 82,000 | nan | 506,000
row 3 : Deaths In Prisons & Camps | 69,000 | 210,000 | 220,000 | 266,000 | 381,000 | nan | 1,146,000
row 4 : Deaths Outside of Prisons & Camps | nan | 42,000 | 71,000 | 142,000 | 218,000 | nan | 473,000
row 5 : Murdered in Eastern Regions | nan | nan | nan | nan | nan | 100,000 | 100,000
row 6 : Deaths other countries | nan | nan | nan | nan | nan | nan | 2,000
row 7 : Total | 504,000 | 352,000 | 407,000 | 541,000 | 681,000 | 270,000 | 2,770,000

what were all of the causes of world war ii casualties in poland?

Answer: Direct War Losses, Murdered, Deaths In Prisons & Camps, Deaths Outside of Prisons & Camps, Murdered in Eastern Regions, Deaths other countries
Please answer a question about the following table 

header: Description Losses | 1939/40 | 1940/41 | 1941/42 | 1942/43 | 1943/44 | 1944/45 | Total row 1 : Direct War Losses | 360,000 | nan | nan | nan | nan | 183,000 | 543,000
row 2 : Murdered | 75,000 | 100,000 | 116,000 | 133,000 | 82,000 | nan | 506,000
row 3 : Deaths In Prisons & Camps | 69,000 | 210,000 | 220,000 | 266,000 | 381,000 | nan | 1,146,000
row 4 : Deaths Outside of Prisons & Camps | nan | 42,000 | 71,000 | 142,000 | 218,000 | nan | 473,000
row 5 : Murdered in Eastern Regions | nan | nan | nan | nan | nan | 100,000 | 100,000
row 6 : Deaths other countries | nan | nan | nan | nan | nan | nan | 2,000
row 7 : Total | 504,000 | 352,000 | 407,000 | 541,000 | 681,000 | 270,000 | 2,770,000

what were all of the causes of world war ii casualties in poland? how many deaths did the causes result in?

Answer: 2,770,000
Please answer a question about the following table 

header: Description Losses | 1939/40 | 1940/41 | 1941/42 | 1942/43 | 1943/44 | 1944/45 | Total row 1 : Direct War Losses | 360,000 | nan | nan | nan | nan | 183,000 | 543,000
row 2 : Murdered | 75,000 | 100,000 | 116,000 | 133,000 | 82,000 | nan | 506,000
row 3 : Deaths In Prisons & Camps | 69,000 | 210,000 | 220,000 | 266,000 | 381,000 | nan | 1,146,000
row 4 : Deaths Outside of Prisons & Camps | nan | 42,000 | 71,000 | 142,000 | 218,000 | nan | 473,000
row 5 : Murdered in Eastern Regions | nan | nan | nan | nan | nan | 100,000 | 100,000
row 6 : Deaths other countries | nan | nan | nan | nan | nan | nan | 2,000
row 7 : Total | 504,000 | 352,000 | 407,000 | 541,000 | 681,000 | 270,000 | 2,770,000

what were all of the causes of world war ii casualties in poland? how many deaths did the causes result in? of these casualties, how many were deaths in prisons and camps?

Answer: 1,146,000
Please answer a question about the following table 

header: Description Losses | 1939/40 | 1940/41 | 1941/42 | 1942/43 | 1943/44 | 1944/45 | Total row 1 : Direct War Losses | 360,000 | nan | nan | nan | nan | 183,000 | 543,000
row 2 : Murdered | 75,000 | 100,000 | 116,000 | 133,000 | 82,000 | nan | 506,000
row 3 : Deaths In Prisons & Camps | 69,000 | 210,000 | 220,000 | 266,000 | 381,000 | nan | 1,146,000
row 4 : Deaths Outside of Prisons & Camps | nan | 42,000 | 71,000 | 142,000 | 218,000 | nan | 473,000
row 5 : Murdered in Eastern Regions | nan | nan | nan | nan | nan | 100,000 | 100,000
row 6 : Deaths other countries | nan | nan | nan | nan | nan | nan | 2,000
row 7 : Total | 504,000 | 352,000 | 407,000 | 541,000 | 681,000 | 270,000 | 2,770,000

what are the types of casualties in the world war ii from poland?

Answer: Direct War Losses, Murdered, Deaths In Prisons & Camps, Deaths Outside of Prisons & Camps, Murdered in Eastern Regions, Deaths other countries
Please answer a question about the following table 

header: Description Losses | 1939/40 | 1940/41 | 1941/42 | 1942/43 | 1943/44 | 1944/45 | Total row 1 : Direct War Losses | 360,000 | nan | nan | nan | nan | 183,000 | 543,000
row 2 : Murdered | 75,000 | 100,000 | 116,000 | 133,000 | 82,000 | nan | 506,000
row 3 : Deaths In Prisons & Camps | 69,000 | 210,000 | 220,000 | 266,000 | 381,000 | nan | 1,146,000
row 4 : Deaths Outside of Prisons & Camps | nan | 42,000 | 71,000 | 142,000 | 218,000 | nan | 473,000
row 5 : Murdered in Eastern Regions | nan | nan | nan | nan | nan | 100,000 | 100,000
row 6 : Deaths other countries | nan | nan | nan | nan | nan | nan | 2,000
row 7 : Total | 504,000 | 352,000 | 407,000 | 541,000 | 681,000 | 270,000 | 2,770,000

what are the types of casualties in the world war ii from poland? of these how many total were from deaths in prisons & camps?

Answer: 1,146,000
Please answer a question about the following table 

header: Naturalisations by origin | 2000 | 2005 | 2009 | % Total 2009 row 1 : Africa | 84 182 | 98 453 | 85 144 | 62.7
row 2 : Maghreb | 68 185 | 75 224 | 56 024 | 41.2
row 3 : Sub-Saharan Africa | 10 622 | 15 624 | 22 214 | 16.4
row 4 : Other Africa | 5 375 | 7 605 | 6 906 | 5.1
row 5 : Asia | 27 941 | 26 286 | 19 494 | 14.4
row 6 : South-East Asia | 7 265 | 4 069 | 2 475 | 1.8
row 7 : East Asia | 1 139 | 1 280 | 1 622 | 1.2
row 8 : South Asia | 4 246 | 4 436 | 3 660 | 2.7
row 9 : Other Asia | 15 291 | 16 501 | 11 737 | 8.6
row 10 : Europe (not including CIS ) | 22 085 | 18 072 | 14 753 | 10.9
row 11 : CIS | 1 181 | 2 108 | 4 704 | 3.5
row 12 : CIS (Europe) | 1 000 | 1 535 | 4 454 | 3.3
row 13 : CIS (Asia) | 181 | 573 | 250 | 0.2
row 14 : America | 5 668 | 6 352 | 6 677 | 4.9
row 15 : North America | 1 048 | 854 | 747 | 0.5
row 16 : South and Central America | 4 620 | 5 498 | 5 930 | 4.4
row 17 : Oceania | 87 | 127 | 108 | 0.1
row 18 : Others | 8 882 | 3 245 | 4 962 | 3.7
row 19 : Total | 150 026 | 154 643 | 135 842 | 100.0

what are all of the origins?

Answer: Africa, Maghreb, Sub-Saharan Africa, Other Africa, Asia, South-East Asia, East Asia, South Asia, Other Asia, Europe (not including CIS ), CIS, CIS (Europe), CIS (Asia), America, North America, South and Central America, Oceania
Please answer a question about the following table 

header: Naturalisations by origin | 2000 | 2005 | 2009 | % Total 2009 row 1 : Africa | 84 182 | 98 453 | 85 144 | 62.7
row 2 : Maghreb | 68 185 | 75 224 | 56 024 | 41.2
row 3 : Sub-Saharan Africa | 10 622 | 15 624 | 22 214 | 16.4
row 4 : Other Africa | 5 375 | 7 605 | 6 906 | 5.1
row 5 : Asia | 27 941 | 26 286 | 19 494 | 14.4
row 6 : South-East Asia | 7 265 | 4 069 | 2 475 | 1.8
row 7 : East Asia | 1 139 | 1 280 | 1 622 | 1.2
row 8 : South Asia | 4 246 | 4 436 | 3 660 | 2.7
row 9 : Other Asia | 15 291 | 16 501 | 11 737 | 8.6
row 10 : Europe (not including CIS ) | 22 085 | 18 072 | 14 753 | 10.9
row 11 : CIS | 1 181 | 2 108 | 4 704 | 3.5
row 12 : CIS (Europe) | 1 000 | 1 535 | 4 454 | 3.3
row 13 : CIS (Asia) | 181 | 573 | 250 | 0.2
row 14 : America | 5 668 | 6 352 | 6 677 | 4.9
row 15 : North America | 1 048 | 854 | 747 | 0.5
row 16 : South and Central America | 4 620 | 5 498 | 5 930 | 4.4
row 17 : Oceania | 87 | 127 | 108 | 0.1
row 18 : Others | 8 882 | 3 245 | 4 962 | 3.7
row 19 : Total | 150 026 | 154 643 | 135 842 | 100.0

what are all of the origins? how many naturalizations occurred for each in 2009?

Answer: 85 144, 56 024, 22 214, 6 906, 19 494, 2 475, 1 622, 3 660, 11 737, 14 753, 4 704, 4 454, 250, 6 677, 747, 5 930, 108, 4 962
Please answer a question about the following table 

header: Naturalisations by origin | 2000 | 2005 | 2009 | % Total 2009 row 1 : Africa | 84 182 | 98 453 | 85 144 | 62.7
row 2 : Maghreb | 68 185 | 75 224 | 56 024 | 41.2
row 3 : Sub-Saharan Africa | 10 622 | 15 624 | 22 214 | 16.4
row 4 : Other Africa | 5 375 | 7 605 | 6 906 | 5.1
row 5 : Asia | 27 941 | 26 286 | 19 494 | 14.4
row 6 : South-East Asia | 7 265 | 4 069 | 2 475 | 1.8
row 7 : East Asia | 1 139 | 1 280 | 1 622 | 1.2
row 8 : South Asia | 4 246 | 4 436 | 3 660 | 2.7
row 9 : Other Asia | 15 291 | 16 501 | 11 737 | 8.6
row 10 : Europe (not including CIS ) | 22 085 | 18 072 | 14 753 | 10.9
row 11 : CIS | 1 181 | 2 108 | 4 704 | 3.5
row 12 : CIS (Europe) | 1 000 | 1 535 | 4 454 | 3.3
row 13 : CIS (Asia) | 181 | 573 | 250 | 0.2
row 14 : America | 5 668 | 6 352 | 6 677 | 4.9
row 15 : North America | 1 048 | 854 | 747 | 0.5
row 16 : South and Central America | 4 620 | 5 498 | 5 930 | 4.4
row 17 : Oceania | 87 | 127 | 108 | 0.1
row 18 : Others | 8 882 | 3 245 | 4 962 | 3.7
row 19 : Total | 150 026 | 154 643 | 135 842 | 100.0

what are all of the origins? how many naturalizations occurred for each in 2009? what about just between north america and south and central america?

Answer: 747, 5 930
Please answer a question about the following table 

header: Naturalisations by origin | 2000 | 2005 | 2009 | % Total 2009 row 1 : Africa | 84 182 | 98 453 | 85 144 | 62.7
row 2 : Maghreb | 68 185 | 75 224 | 56 024 | 41.2
row 3 : Sub-Saharan Africa | 10 622 | 15 624 | 22 214 | 16.4
row 4 : Other Africa | 5 375 | 7 605 | 6 906 | 5.1
row 5 : Asia | 27 941 | 26 286 | 19 494 | 14.4
row 6 : South-East Asia | 7 265 | 4 069 | 2 475 | 1.8
row 7 : East Asia | 1 139 | 1 280 | 1 622 | 1.2
row 8 : South Asia | 4 246 | 4 436 | 3 660 | 2.7
row 9 : Other Asia | 15 291 | 16 501 | 11 737 | 8.6
row 10 : Europe (not including CIS ) | 22 085 | 18 072 | 14 753 | 10.9
row 11 : CIS | 1 181 | 2 108 | 4 704 | 3.5
row 12 : CIS (Europe) | 1 000 | 1 535 | 4 454 | 3.3
row 13 : CIS (Asia) | 181 | 573 | 250 | 0.2
row 14 : America | 5 668 | 6 352 | 6 677 | 4.9
row 15 : North America | 1 048 | 854 | 747 | 0.5
row 16 : South and Central America | 4 620 | 5 498 | 5 930 | 4.4
row 17 : Oceania | 87 | 127 | 108 | 0.1
row 18 : Others | 8 882 | 3 245 | 4 962 | 3.7
row 19 : Total | 150 026 | 154 643 | 135 842 | 100.0

what are all of the origins? how many naturalizations occurred for each in 2009? what about just between north america and south and central america? which of those two had more?

Answer: South and Central America
Please answer a question about the following table 

header: Naturalisations by origin | 2000 | 2005 | 2009 | % Total 2009 row 1 : Africa | 84 182 | 98 453 | 85 144 | 62.7
row 2 : Maghreb | 68 185 | 75 224 | 56 024 | 41.2
row 3 : Sub-Saharan Africa | 10 622 | 15 624 | 22 214 | 16.4
row 4 : Other Africa | 5 375 | 7 605 | 6 906 | 5.1
row 5 : Asia | 27 941 | 26 286 | 19 494 | 14.4
row 6 : South-East Asia | 7 265 | 4 069 | 2 475 | 1.8
row 7 : East Asia | 1 139 | 1 280 | 1 622 | 1.2
row 8 : South Asia | 4 246 | 4 436 | 3 660 | 2.7
row 9 : Other Asia | 15 291 | 16 501 | 11 737 | 8.6
row 10 : Europe (not including CIS ) | 22 085 | 18 072 | 14 753 | 10.9
row 11 : CIS | 1 181 | 2 108 | 4 704 | 3.5
row 12 : CIS (Europe) | 1 000 | 1 535 | 4 454 | 3.3
row 13 : CIS (Asia) | 181 | 573 | 250 | 0.2
row 14 : America | 5 668 | 6 352 | 6 677 | 4.9
row 15 : North America | 1 048 | 854 | 747 | 0.5
row 16 : South and Central America | 4 620 | 5 498 | 5 930 | 4.4
row 17 : Oceania | 87 | 127 | 108 | 0.1
row 18 : Others | 8 882 | 3 245 | 4 962 | 3.7
row 19 : Total | 150 026 | 154 643 | 135 842 | 100.0

in 2009 which americas immigrated to france?

Answer: America, North America, South and Central America
Please answer a question about the following table 

header: Naturalisations by origin | 2000 | 2005 | 2009 | % Total 2009 row 1 : Africa | 84 182 | 98 453 | 85 144 | 62.7
row 2 : Maghreb | 68 185 | 75 224 | 56 024 | 41.2
row 3 : Sub-Saharan Africa | 10 622 | 15 624 | 22 214 | 16.4
row 4 : Other Africa | 5 375 | 7 605 | 6 906 | 5.1
row 5 : Asia | 27 941 | 26 286 | 19 494 | 14.4
row 6 : South-East Asia | 7 265 | 4 069 | 2 475 | 1.8
row 7 : East Asia | 1 139 | 1 280 | 1 622 | 1.2
row 8 : South Asia | 4 246 | 4 436 | 3 660 | 2.7
row 9 : Other Asia | 15 291 | 16 501 | 11 737 | 8.6
row 10 : Europe (not including CIS ) | 22 085 | 18 072 | 14 753 | 10.9
row 11 : CIS | 1 181 | 2 108 | 4 704 | 3.5
row 12 : CIS (Europe) | 1 000 | 1 535 | 4 454 | 3.3
row 13 : CIS (Asia) | 181 | 573 | 250 | 0.2
row 14 : America | 5 668 | 6 352 | 6 677 | 4.9
row 15 : North America | 1 048 | 854 | 747 | 0.5
row 16 : South and Central America | 4 620 | 5 498 | 5 930 | 4.4
row 17 : Oceania | 87 | 127 | 108 | 0.1
row 18 : Others | 8 882 | 3 245 | 4 962 | 3.7
row 19 : Total | 150 026 | 154 643 | 135 842 | 100.0

in 2009 which americas immigrated to france? which had the largest number?

Answer: South and Central America
Please answer a question about the following table 

header: Naturalisations by origin | 2000 | 2005 | 2009 | % Total 2009 row 1 : Africa | 84 182 | 98 453 | 85 144 | 62.7
row 2 : Maghreb | 68 185 | 75 224 | 56 024 | 41.2
row 3 : Sub-Saharan Africa | 10 622 | 15 624 | 22 214 | 16.4
row 4 : Other Africa | 5 375 | 7 605 | 6 906 | 5.1
row 5 : Asia | 27 941 | 26 286 | 19 494 | 14.4
row 6 : South-East Asia | 7 265 | 4 069 | 2 475 | 1.8
row 7 : East Asia | 1 139 | 1 280 | 1 622 | 1.2
row 8 : South Asia | 4 246 | 4 436 | 3 660 | 2.7
row 9 : Other Asia | 15 291 | 16 501 | 11 737 | 8.6
row 10 : Europe (not including CIS ) | 22 085 | 18 072 | 14 753 | 10.9
row 11 : CIS | 1 181 | 2 108 | 4 704 | 3.5
row 12 : CIS (Europe) | 1 000 | 1 535 | 4 454 | 3.3
row 13 : CIS (Asia) | 181 | 573 | 250 | 0.2
row 14 : America | 5 668 | 6 352 | 6 677 | 4.9
row 15 : North America | 1 048 | 854 | 747 | 0.5
row 16 : South and Central America | 4 620 | 5 498 | 5 930 | 4.4
row 17 : Oceania | 87 | 127 | 108 | 0.1
row 18 : Others | 8 882 | 3 245 | 4 962 | 3.7
row 19 : Total | 150 026 | 154 643 | 135 842 | 100.0

what are all the possible origins?

Answer: Africa, Maghreb, Sub-Saharan Africa, Other Africa, Asia, South-East Asia, East Asia, South Asia, Other Asia, Europe (not including CIS ), CIS, CIS (Europe), CIS (Asia), America, North America, South and Central America, Oceania, Others
Please answer a question about the following table 

header: Naturalisations by origin | 2000 | 2005 | 2009 | % Total 2009 row 1 : Africa | 84 182 | 98 453 | 85 144 | 62.7
row 2 : Maghreb | 68 185 | 75 224 | 56 024 | 41.2
row 3 : Sub-Saharan Africa | 10 622 | 15 624 | 22 214 | 16.4
row 4 : Other Africa | 5 375 | 7 605 | 6 906 | 5.1
row 5 : Asia | 27 941 | 26 286 | 19 494 | 14.4
row 6 : South-East Asia | 7 265 | 4 069 | 2 475 | 1.8
row 7 : East Asia | 1 139 | 1 280 | 1 622 | 1.2
row 8 : South Asia | 4 246 | 4 436 | 3 660 | 2.7
row 9 : Other Asia | 15 291 | 16 501 | 11 737 | 8.6
row 10 : Europe (not including CIS ) | 22 085 | 18 072 | 14 753 | 10.9
row 11 : CIS | 1 181 | 2 108 | 4 704 | 3.5
row 12 : CIS (Europe) | 1 000 | 1 535 | 4 454 | 3.3
row 13 : CIS (Asia) | 181 | 573 | 250 | 0.2
row 14 : America | 5 668 | 6 352 | 6 677 | 4.9
row 15 : North America | 1 048 | 854 | 747 | 0.5
row 16 : South and Central America | 4 620 | 5 498 | 5 930 | 4.4
row 17 : Oceania | 87 | 127 | 108 | 0.1
row 18 : Others | 8 882 | 3 245 | 4 962 | 3.7
row 19 : Total | 150 026 | 154 643 | 135 842 | 100.0

what are all the possible origins? of these, which has never had more than 6000 immigrants to france?

Answer: East Asia, South Asia, CIS, CIS (Europe), CIS (Asia), North America, South and Central America, Oceania
Please answer a question about the following table 

header: Naturalisations by origin | 2000 | 2005 | 2009 | % Total 2009 row 1 : Africa | 84 182 | 98 453 | 85 144 | 62.7
row 2 : Maghreb | 68 185 | 75 224 | 56 024 | 41.2
row 3 : Sub-Saharan Africa | 10 622 | 15 624 | 22 214 | 16.4
row 4 : Other Africa | 5 375 | 7 605 | 6 906 | 5.1
row 5 : Asia | 27 941 | 26 286 | 19 494 | 14.4
row 6 : South-East Asia | 7 265 | 4 069 | 2 475 | 1.8
row 7 : East Asia | 1 139 | 1 280 | 1 622 | 1.2
row 8 : South Asia | 4 246 | 4 436 | 3 660 | 2.7
row 9 : Other Asia | 15 291 | 16 501 | 11 737 | 8.6
row 10 : Europe (not including CIS ) | 22 085 | 18 072 | 14 753 | 10.9
row 11 : CIS | 1 181 | 2 108 | 4 704 | 3.5
row 12 : CIS (Europe) | 1 000 | 1 535 | 4 454 | 3.3
row 13 : CIS (Asia) | 181 | 573 | 250 | 0.2
row 14 : America | 5 668 | 6 352 | 6 677 | 4.9
row 15 : North America | 1 048 | 854 | 747 | 0.5
row 16 : South and Central America | 4 620 | 5 498 | 5 930 | 4.4
row 17 : Oceania | 87 | 127 | 108 | 0.1
row 18 : Others | 8 882 | 3 245 | 4 962 | 3.7
row 19 : Total | 150 026 | 154 643 | 135 842 | 100.0

what are all the possible origins? of these, which has never had more than 6000 immigrants to france? of the remaining, which accounted for more than 4% of the total immigrants in 2009?

Answer: South and Central America
Please answer a question about the following table 

header: Pos | Name | Team | Laps | Time/Retired | Grid | Points row 1 : 1 | Justin Wilson | RuSPORT | 69 | 1:46:02.236 | 2 | 32
row 2 : 2 | Jan Heylen | Conquest Racing | 69 | +7.227 | 7 | 27
row 3 : 3 | Bruno Junqueira | Dale Coyne Racing | 69 | +8.419 | 11 | 26
row 4 : 4 | Tristan Gommendy | PKV Racing | 69 | +9.037 | 3 | 23
row 5 : 5 | Neel Jani | PKV Racing | 69 | +22.262 | 4 | 21
row 6 : 6 | Simon Pagenaud | Team Australia | 69 | +22.698 | 5 | 19
row 7 : 7 | Sebastien Bourdais | N/H/L Racing | 69 | +22.955 | 1 | 18
row 8 : 8 | Oriol Servia | Forsythe Racing | 69 | +23.406 | 13 | 15
row 9 : 9 | Graham Rahal | N/H/L Racing | 69 | +23.949 | 6 | 13
row 10 : 10 | Ryan Dalziel | Pacific Coast Motorsports | 69 | +29.554 | 15 | 11
row 11 : 11 | Dan Clarke | Minardi Team USA | 69 | +38.903 | 10 | 11
row 12 : 12 | Katherine Legge | Dale Coyne Racing | 69 | +44.860 | 14 | 9
row 13 : 13 | Robert Doornbos | Minardi Team USA | 69 | +1:00.638 | 9 | 8
row 14 : 14 | Will Power | Team Australia | 69 | +1:01.204 | 8 | 7
row 15 : 15 | Alex Tagliani | Rocketsports | 68 | + 1 Lap | 12 | 6
row 16 : 16 | Alex Figge | Pacific Coast Motorsports | 68 | + 1 Lap | 16 | 5
row 17 : 17 | Paul Tracy | Forsythe Racing | 14 | Mechanical | 17 | 4

who were the drivers in the 2007 bavaria champ car grand prix?

Answer: Justin Wilson, Jan Heylen, Bruno Junqueira, Tristan Gommendy, Neel Jani, Simon Pagenaud, Sebastien Bourdais, Oriol Servia, Graham Rahal, Ryan Dalziel, Dan Clarke, Katherine Legge, Robert Doornbos, Will Power, Alex Tagliani, Alex Figge, Paul Tracy
Please answer a question about the following table 

header: Pos | Name | Team | Laps | Time/Retired | Grid | Points row 1 : 1 | Justin Wilson | RuSPORT | 69 | 1:46:02.236 | 2 | 32
row 2 : 2 | Jan Heylen | Conquest Racing | 69 | +7.227 | 7 | 27
row 3 : 3 | Bruno Junqueira | Dale Coyne Racing | 69 | +8.419 | 11 | 26
row 4 : 4 | Tristan Gommendy | PKV Racing | 69 | +9.037 | 3 | 23
row 5 : 5 | Neel Jani | PKV Racing | 69 | +22.262 | 4 | 21
row 6 : 6 | Simon Pagenaud | Team Australia | 69 | +22.698 | 5 | 19
row 7 : 7 | Sebastien Bourdais | N/H/L Racing | 69 | +22.955 | 1 | 18
row 8 : 8 | Oriol Servia | Forsythe Racing | 69 | +23.406 | 13 | 15
row 9 : 9 | Graham Rahal | N/H/L Racing | 69 | +23.949 | 6 | 13
row 10 : 10 | Ryan Dalziel | Pacific Coast Motorsports | 69 | +29.554 | 15 | 11
row 11 : 11 | Dan Clarke | Minardi Team USA | 69 | +38.903 | 10 | 11
row 12 : 12 | Katherine Legge | Dale Coyne Racing | 69 | +44.860 | 14 | 9
row 13 : 13 | Robert Doornbos | Minardi Team USA | 69 | +1:00.638 | 9 | 8
row 14 : 14 | Will Power | Team Australia | 69 | +1:01.204 | 8 | 7
row 15 : 15 | Alex Tagliani | Rocketsports | 68 | + 1 Lap | 12 | 6
row 16 : 16 | Alex Figge | Pacific Coast Motorsports | 68 | + 1 Lap | 16 | 5
row 17 : 17 | Paul Tracy | Forsythe Racing | 14 | Mechanical | 17 | 4

who were the drivers in the 2007 bavaria champ car grand prix? who has the lowest laps?

Answer: Paul Tracy
Please answer a question about the following table 

header: Pos | Name | Team | Laps | Time/Retired | Grid | Points row 1 : 1 | Justin Wilson | RuSPORT | 69 | 1:46:02.236 | 2 | 32
row 2 : 2 | Jan Heylen | Conquest Racing | 69 | +7.227 | 7 | 27
row 3 : 3 | Bruno Junqueira | Dale Coyne Racing | 69 | +8.419 | 11 | 26
row 4 : 4 | Tristan Gommendy | PKV Racing | 69 | +9.037 | 3 | 23
row 5 : 5 | Neel Jani | PKV Racing | 69 | +22.262 | 4 | 21
row 6 : 6 | Simon Pagenaud | Team Australia | 69 | +22.698 | 5 | 19
row 7 : 7 | Sebastien Bourdais | N/H/L Racing | 69 | +22.955 | 1 | 18
row 8 : 8 | Oriol Servia | Forsythe Racing | 69 | +23.406 | 13 | 15
row 9 : 9 | Graham Rahal | N/H/L Racing | 69 | +23.949 | 6 | 13
row 10 : 10 | Ryan Dalziel | Pacific Coast Motorsports | 69 | +29.554 | 15 | 11
row 11 : 11 | Dan Clarke | Minardi Team USA | 69 | +38.903 | 10 | 11
row 12 : 12 | Katherine Legge | Dale Coyne Racing | 69 | +44.860 | 14 | 9
row 13 : 13 | Robert Doornbos | Minardi Team USA | 69 | +1:00.638 | 9 | 8
row 14 : 14 | Will Power | Team Australia | 69 | +1:01.204 | 8 | 7
row 15 : 15 | Alex Tagliani | Rocketsports | 68 | + 1 Lap | 12 | 6
row 16 : 16 | Alex Figge | Pacific Coast Motorsports | 68 | + 1 Lap | 16 | 5
row 17 : 17 | Paul Tracy | Forsythe Racing | 14 | Mechanical | 17 | 4

what was the smallest amount of laps recorded?

Answer: 14
Please answer a question about the following table 

header: Pos | Name | Team | Laps | Time/Retired | Grid | Points row 1 : 1 | Justin Wilson | RuSPORT | 69 | 1:46:02.236 | 2 | 32
row 2 : 2 | Jan Heylen | Conquest Racing | 69 | +7.227 | 7 | 27
row 3 : 3 | Bruno Junqueira | Dale Coyne Racing | 69 | +8.419 | 11 | 26
row 4 : 4 | Tristan Gommendy | PKV Racing | 69 | +9.037 | 3 | 23
row 5 : 5 | Neel Jani | PKV Racing | 69 | +22.262 | 4 | 21
row 6 : 6 | Simon Pagenaud | Team Australia | 69 | +22.698 | 5 | 19
row 7 : 7 | Sebastien Bourdais | N/H/L Racing | 69 | +22.955 | 1 | 18
row 8 : 8 | Oriol Servia | Forsythe Racing | 69 | +23.406 | 13 | 15
row 9 : 9 | Graham Rahal | N/H/L Racing | 69 | +23.949 | 6 | 13
row 10 : 10 | Ryan Dalziel | Pacific Coast Motorsports | 69 | +29.554 | 15 | 11
row 11 : 11 | Dan Clarke | Minardi Team USA | 69 | +38.903 | 10 | 11
row 12 : 12 | Katherine Legge | Dale Coyne Racing | 69 | +44.860 | 14 | 9
row 13 : 13 | Robert Doornbos | Minardi Team USA | 69 | +1:00.638 | 9 | 8
row 14 : 14 | Will Power | Team Australia | 69 | +1:01.204 | 8 | 7
row 15 : 15 | Alex Tagliani | Rocketsports | 68 | + 1 Lap | 12 | 6
row 16 : 16 | Alex Figge | Pacific Coast Motorsports | 68 | + 1 Lap | 16 | 5
row 17 : 17 | Paul Tracy | Forsythe Racing | 14 | Mechanical | 17 | 4

what was the smallest amount of laps recorded? who had that result?

Answer: Paul Tracy
Please answer a question about the following table 

header: Pos | Name | Team | Laps | Time/Retired | Grid | Points row 1 : 1 | Justin Wilson | RuSPORT | 69 | 1:46:02.236 | 2 | 32
row 2 : 2 | Jan Heylen | Conquest Racing | 69 | +7.227 | 7 | 27
row 3 : 3 | Bruno Junqueira | Dale Coyne Racing | 69 | +8.419 | 11 | 26
row 4 : 4 | Tristan Gommendy | PKV Racing | 69 | +9.037 | 3 | 23
row 5 : 5 | Neel Jani | PKV Racing | 69 | +22.262 | 4 | 21
row 6 : 6 | Simon Pagenaud | Team Australia | 69 | +22.698 | 5 | 19
row 7 : 7 | Sebastien Bourdais | N/H/L Racing | 69 | +22.955 | 1 | 18
row 8 : 8 | Oriol Servia | Forsythe Racing | 69 | +23.406 | 13 | 15
row 9 : 9 | Graham Rahal | N/H/L Racing | 69 | +23.949 | 6 | 13
row 10 : 10 | Ryan Dalziel | Pacific Coast Motorsports | 69 | +29.554 | 15 | 11
row 11 : 11 | Dan Clarke | Minardi Team USA | 69 | +38.903 | 10 | 11
row 12 : 12 | Katherine Legge | Dale Coyne Racing | 69 | +44.860 | 14 | 9
row 13 : 13 | Robert Doornbos | Minardi Team USA | 69 | +1:00.638 | 9 | 8
row 14 : 14 | Will Power | Team Australia | 69 | +1:01.204 | 8 | 7
row 15 : 15 | Alex Tagliani | Rocketsports | 68 | + 1 Lap | 12 | 6
row 16 : 16 | Alex Figge | Pacific Coast Motorsports | 68 | + 1 Lap | 16 | 5
row 17 : 17 | Paul Tracy | Forsythe Racing | 14 | Mechanical | 17 | 4

what are all of the driver names?

Answer: Justin Wilson, Jan Heylen, Bruno Junqueira, Tristan Gommendy, Neel Jani, Simon Pagenaud, Sebastien Bourdais, Oriol Servia, Graham Rahal, Ryan Dalziel, Dan Clarke, Katherine Legge, Robert Doornbos, Will Power, Alex Tagliani, Alex Figge, Paul Tracy
Please answer a question about the following table 

header: Pos | Name | Team | Laps | Time/Retired | Grid | Points row 1 : 1 | Justin Wilson | RuSPORT | 69 | 1:46:02.236 | 2 | 32
row 2 : 2 | Jan Heylen | Conquest Racing | 69 | +7.227 | 7 | 27
row 3 : 3 | Bruno Junqueira | Dale Coyne Racing | 69 | +8.419 | 11 | 26
row 4 : 4 | Tristan Gommendy | PKV Racing | 69 | +9.037 | 3 | 23
row 5 : 5 | Neel Jani | PKV Racing | 69 | +22.262 | 4 | 21
row 6 : 6 | Simon Pagenaud | Team Australia | 69 | +22.698 | 5 | 19
row 7 : 7 | Sebastien Bourdais | N/H/L Racing | 69 | +22.955 | 1 | 18
row 8 : 8 | Oriol Servia | Forsythe Racing | 69 | +23.406 | 13 | 15
row 9 : 9 | Graham Rahal | N/H/L Racing | 69 | +23.949 | 6 | 13
row 10 : 10 | Ryan Dalziel | Pacific Coast Motorsports | 69 | +29.554 | 15 | 11
row 11 : 11 | Dan Clarke | Minardi Team USA | 69 | +38.903 | 10 | 11
row 12 : 12 | Katherine Legge | Dale Coyne Racing | 69 | +44.860 | 14 | 9
row 13 : 13 | Robert Doornbos | Minardi Team USA | 69 | +1:00.638 | 9 | 8
row 14 : 14 | Will Power | Team Australia | 69 | +1:01.204 | 8 | 7
row 15 : 15 | Alex Tagliani | Rocketsports | 68 | + 1 Lap | 12 | 6
row 16 : 16 | Alex Figge | Pacific Coast Motorsports | 68 | + 1 Lap | 16 | 5
row 17 : 17 | Paul Tracy | Forsythe Racing | 14 | Mechanical | 17 | 4

what are all of the driver names? how many laps did they complete?

Answer: 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 68, 68, 14
Please answer a question about the following table 

header: Pos | Name | Team | Laps | Time/Retired | Grid | Points row 1 : 1 | Justin Wilson | RuSPORT | 69 | 1:46:02.236 | 2 | 32
row 2 : 2 | Jan Heylen | Conquest Racing | 69 | +7.227 | 7 | 27
row 3 : 3 | Bruno Junqueira | Dale Coyne Racing | 69 | +8.419 | 11 | 26
row 4 : 4 | Tristan Gommendy | PKV Racing | 69 | +9.037 | 3 | 23
row 5 : 5 | Neel Jani | PKV Racing | 69 | +22.262 | 4 | 21
row 6 : 6 | Simon Pagenaud | Team Australia | 69 | +22.698 | 5 | 19
row 7 : 7 | Sebastien Bourdais | N/H/L Racing | 69 | +22.955 | 1 | 18
row 8 : 8 | Oriol Servia | Forsythe Racing | 69 | +23.406 | 13 | 15
row 9 : 9 | Graham Rahal | N/H/L Racing | 69 | +23.949 | 6 | 13
row 10 : 10 | Ryan Dalziel | Pacific Coast Motorsports | 69 | +29.554 | 15 | 11
row 11 : 11 | Dan Clarke | Minardi Team USA | 69 | +38.903 | 10 | 11
row 12 : 12 | Katherine Legge | Dale Coyne Racing | 69 | +44.860 | 14 | 9
row 13 : 13 | Robert Doornbos | Minardi Team USA | 69 | +1:00.638 | 9 | 8
row 14 : 14 | Will Power | Team Australia | 69 | +1:01.204 | 8 | 7
row 15 : 15 | Alex Tagliani | Rocketsports | 68 | + 1 Lap | 12 | 6
row 16 : 16 | Alex Figge | Pacific Coast Motorsports | 68 | + 1 Lap | 16 | 5
row 17 : 17 | Paul Tracy | Forsythe Racing | 14 | Mechanical | 17 | 4

what are all of the driver names? how many laps did they complete? which driver completed the fewest amount of laps?

Answer: Paul Tracy
Please answer a question about the following table 

header: Rank | Nation | Gold | Silver | Bronze | Total row 1 : 1 | Soviet Union | 26 | 17 | 15 | 58
row 2 : 2 | United States | 22 | 18 | 11 | 51
row 3 : 3 | East Germany | 8 | 3 | 4 | 15
row 4 : 4 | Italy | 4 | 4 | 6 | 14
row 5 : 5 | Japan | 3 | 7 | 5 | 15
row 6 : 6 | Hungary | 3 | 6 | 6 | 15
row 7 : 7 | West Germany | 3 | 6 | 4 | 13
row 8 : 8 | United Kingdom | 3 | 4 | 7 | 14
row 9 : 9 | Poland | 3 | 1 | 5 | 9
row 10 : 10 | Yugoslavia | 3 | 1 | 1 | 5
row 11 : 11 | Netherlands | 1 | 1 | 2 | 4
row 12 : 12 | Austria | 1 | 1 | 1 | 3
row 13 : 12 | Bulgaria | 1 | 1 | 1 | 3
row 14 : 14 | France | 1 | 0 | 4 | 5
row 15 : 15 | Romania | 0 | 4 | 2 | 6
row 16 : 16 | Cuba | 0 | 2 | 2 | 4
row 17 : 17 | Australia | 0 | 1 | 0 | 1
row 18 : 17 | Czechoslovakia | 0 | 1 | 0 | 1
row 19 : 17 | Greece | 0 | 1 | 0 | 1
row 20 : 17 | Sweden | 0 | 1 | 0 | 1
row 21 : 21 | Canada | 0 | 0 | 1 | 1
row 22 : 21 | South Korea | 0 | 0 | 1 | 1
row 23 : 21 | Madagascar | 0 | 0 | 1 | 1
row 24 : 21 | Panama | 0 | 0 | 1 | 1
row 25 : Total | Total | 82 | 80 | 80 | 242

which nations competed in the event?

Answer: Soviet Union, United States, East Germany, Italy, Japan, Hungary, West Germany, United Kingdom, Poland, Yugoslavia, Netherlands, Austria, Bulgaria, France, Romania, Cuba, Australia, Czechoslovakia, Greece, Sweden, Canada, South Korea, Madagascar, Panama
Please answer a question about the following table 

header: Rank | Nation | Gold | Silver | Bronze | Total row 1 : 1 | Soviet Union | 26 | 17 | 15 | 58
row 2 : 2 | United States | 22 | 18 | 11 | 51
row 3 : 3 | East Germany | 8 | 3 | 4 | 15
row 4 : 4 | Italy | 4 | 4 | 6 | 14
row 5 : 5 | Japan | 3 | 7 | 5 | 15
row 6 : 6 | Hungary | 3 | 6 | 6 | 15
row 7 : 7 | West Germany | 3 | 6 | 4 | 13
row 8 : 8 | United Kingdom | 3 | 4 | 7 | 14
row 9 : 9 | Poland | 3 | 1 | 5 | 9
row 10 : 10 | Yugoslavia | 3 | 1 | 1 | 5
row 11 : 11 | Netherlands | 1 | 1 | 2 | 4
row 12 : 12 | Austria | 1 | 1 | 1 | 3
row 13 : 12 | Bulgaria | 1 | 1 | 1 | 3
row 14 : 14 | France | 1 | 0 | 4 | 5
row 15 : 15 | Romania | 0 | 4 | 2 | 6
row 16 : 16 | Cuba | 0 | 2 | 2 | 4
row 17 : 17 | Australia | 0 | 1 | 0 | 1
row 18 : 17 | Czechoslovakia | 0 | 1 | 0 | 1
row 19 : 17 | Greece | 0 | 1 | 0 | 1
row 20 : 17 | Sweden | 0 | 1 | 0 | 1
row 21 : 21 | Canada | 0 | 0 | 1 | 1
row 22 : 21 | South Korea | 0 | 0 | 1 | 1
row 23 : 21 | Madagascar | 0 | 0 | 1 | 1
row 24 : 21 | Panama | 0 | 0 | 1 | 1
row 25 : Total | Total | 82 | 80 | 80 | 242

which nations competed in the event? how many gold medals did each nation win?

Answer: 26, 22, 8, 4, 3, 3, 3, 3, 3, 3, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0
Please answer a question about the following table 

header: Rank | Nation | Gold | Silver | Bronze | Total row 1 : 1 | Soviet Union | 26 | 17 | 15 | 58
row 2 : 2 | United States | 22 | 18 | 11 | 51
row 3 : 3 | East Germany | 8 | 3 | 4 | 15
row 4 : 4 | Italy | 4 | 4 | 6 | 14
row 5 : 5 | Japan | 3 | 7 | 5 | 15
row 6 : 6 | Hungary | 3 | 6 | 6 | 15
row 7 : 7 | West Germany | 3 | 6 | 4 | 13
row 8 : 8 | United Kingdom | 3 | 4 | 7 | 14
row 9 : 9 | Poland | 3 | 1 | 5 | 9
row 10 : 10 | Yugoslavia | 3 | 1 | 1 | 5
row 11 : 11 | Netherlands | 1 | 1 | 2 | 4
row 12 : 12 | Austria | 1 | 1 | 1 | 3
row 13 : 12 | Bulgaria | 1 | 1 | 1 | 3
row 14 : 14 | France | 1 | 0 | 4 | 5
row 15 : 15 | Romania | 0 | 4 | 2 | 6
row 16 : 16 | Cuba | 0 | 2 | 2 | 4
row 17 : 17 | Australia | 0 | 1 | 0 | 1
row 18 : 17 | Czechoslovakia | 0 | 1 | 0 | 1
row 19 : 17 | Greece | 0 | 1 | 0 | 1
row 20 : 17 | Sweden | 0 | 1 | 0 | 1
row 21 : 21 | Canada | 0 | 0 | 1 | 1
row 22 : 21 | South Korea | 0 | 0 | 1 | 1
row 23 : 21 | Madagascar | 0 | 0 | 1 | 1
row 24 : 21 | Panama | 0 | 0 | 1 | 1
row 25 : Total | Total | 82 | 80 | 80 | 242

which nations competed in the event? how many gold medals did each nation win? what about just the soviet union?

Answer: 26
Please answer a question about the following table 

header: Rank | Nation | Gold | Silver | Bronze | Total row 1 : 1 | Soviet Union | 26 | 17 | 15 | 58
row 2 : 2 | United States | 22 | 18 | 11 | 51
row 3 : 3 | East Germany | 8 | 3 | 4 | 15
row 4 : 4 | Italy | 4 | 4 | 6 | 14
row 5 : 5 | Japan | 3 | 7 | 5 | 15
row 6 : 6 | Hungary | 3 | 6 | 6 | 15
row 7 : 7 | West Germany | 3 | 6 | 4 | 13
row 8 : 8 | United Kingdom | 3 | 4 | 7 | 14
row 9 : 9 | Poland | 3 | 1 | 5 | 9
row 10 : 10 | Yugoslavia | 3 | 1 | 1 | 5
row 11 : 11 | Netherlands | 1 | 1 | 2 | 4
row 12 : 12 | Austria | 1 | 1 | 1 | 3
row 13 : 12 | Bulgaria | 1 | 1 | 1 | 3
row 14 : 14 | France | 1 | 0 | 4 | 5
row 15 : 15 | Romania | 0 | 4 | 2 | 6
row 16 : 16 | Cuba | 0 | 2 | 2 | 4
row 17 : 17 | Australia | 0 | 1 | 0 | 1
row 18 : 17 | Czechoslovakia | 0 | 1 | 0 | 1
row 19 : 17 | Greece | 0 | 1 | 0 | 1
row 20 : 17 | Sweden | 0 | 1 | 0 | 1
row 21 : 21 | Canada | 0 | 0 | 1 | 1
row 22 : 21 | South Korea | 0 | 0 | 1 | 1
row 23 : 21 | Madagascar | 0 | 0 | 1 | 1
row 24 : 21 | Panama | 0 | 0 | 1 | 1
row 25 : Total | Total | 82 | 80 | 80 | 242

which nations competed in the event? how many gold medals did each nation win? what about just the soviet union? and which nation came second after the soviet union?

Answer: United States