sail/symbolic-instruction-tuning huggingface dataset:
[Table] header: Scheme | Tariff code | BTs retail price (regulated) | Approx premium | Prefixes row 1 : Pence per call, fixed at all times | ff15 | 5.10p/call | 7p/call | 0871, 0872
row 2 : Pence per call, fixed at all times | ff28 NTS | 8.50p/call | 10p/call | 0871, 0872
row 3 : Pence per call, fixed at all times | ff0 PRS | 8.60p/call | 10p/call | 0871, 0872
row 4 : Pence per minute, fixed at all times | g21 | geographic rate or inclusive | nil | 030, 033, 034, 037
row 5 : Pence per minute, fixed at all times | g22 | 0.425p/min | 2p/min | 0843, 0844
row 6 : Pence per minute, fixed at all times | g8 | 0.851p/min | 2p/min | 0843, 0844
row 7 : Pence per minute, fixed at all times | g27 | 1.277p/min | 3p/min | 0843, 0844
row 8 : Pence per minute, fixed at all times | g9 | 1.702p/min | 4p/min | 0843, 0844
row 9 : Pence per minute, fixed at all times | (no code) | 2p/min or inclusive | 2p/min | 0845 only
row 10 : Pence per minute, fixed at all times | g28 | 2.128p/min | 3p/min | 0843, 0844
row 11 : Pence per minute, fixed at all times | g10 | 2.553p/min | 4p/min | 0843, 0844
row 12 : Pence per minute, fixed at all times | g11 | 3.404p/min | 5p/min | 0843, 0844
row 13 : Pence per minute, fixed at all times | g6 and p27 | 4.255p/min | 7p/min | 0843, 0844, 0871, 08
row 14 : Pence per minute, fixed at all times | (no code) | 8p/min or inclusive | ~10p/min 0p/ | 0870 only [/Table] Answer this question based on the above table: How many tariff codes have a bts retail price of 2p/min or inclusive?

Answer: 1.0
[Table] header: Scheme | Tariff code | BTs retail price (regulated) | Approx premium | Prefixes row 1 : Pence per call, fixed at all times | ff15 | 5.10p/call | 7p/call | 0871, 0872
row 2 : Pence per call, fixed at all times | ff28 NTS | 8.50p/call | 10p/call | 0871, 0872
row 3 : Pence per call, fixed at all times | ff0 PRS | 8.60p/call | 10p/call | 0871, 0872
row 4 : Pence per minute, fixed at all times | g21 | geographic rate or inclusive | nil | 030, 033, 034, 037
row 5 : Pence per minute, fixed at all times | g22 | 0.425p/min | 2p/min | 0843, 0844
row 6 : Pence per minute, fixed at all times | g8 | 0.851p/min | 2p/min | 0843, 0844
row 7 : Pence per minute, fixed at all times | g27 | 1.277p/min | 3p/min | 0843, 0844
row 8 : Pence per minute, fixed at all times | g9 | 1.702p/min | 4p/min | 0843, 0844
row 9 : Pence per minute, fixed at all times | (no code) | 2p/min or inclusive | 2p/min | 0845 only
row 10 : Pence per minute, fixed at all times | g28 | 2.128p/min | 3p/min | 0843, 0844
row 11 : Pence per minute, fixed at all times | g10 | 2.553p/min | 4p/min | 0843, 0844
row 12 : Pence per minute, fixed at all times | g11 | 3.404p/min | 5p/min | 0843, 0844
row 13 : Pence per minute, fixed at all times | g6 and p27 | 4.255p/min | 7p/min | 0843, 0844, 0871, 08
row 14 : Pence per minute, fixed at all times | (no code) | 8p/min or inclusive | ~10p/min 0p/ | 0870 only [/Table] Answer this question based on the above table: How many tariff codes have a bts retail price of 2.553p/min?

Answer: 1.0
[Table] header: Scheme | Tariff code | BTs retail price (regulated) | Approx premium | Prefixes row 1 : Pence per call, fixed at all times | ff15 | 5.10p/call | 7p/call | 0871, 0872
row 2 : Pence per call, fixed at all times | ff28 NTS | 8.50p/call | 10p/call | 0871, 0872
row 3 : Pence per call, fixed at all times | ff0 PRS | 8.60p/call | 10p/call | 0871, 0872
row 4 : Pence per minute, fixed at all times | g21 | geographic rate or inclusive | nil | 030, 033, 034, 037
row 5 : Pence per minute, fixed at all times | g22 | 0.425p/min | 2p/min | 0843, 0844
row 6 : Pence per minute, fixed at all times | g8 | 0.851p/min | 2p/min | 0843, 0844
row 7 : Pence per minute, fixed at all times | g27 | 1.277p/min | 3p/min | 0843, 0844
row 8 : Pence per minute, fixed at all times | g9 | 1.702p/min | 4p/min | 0843, 0844
row 9 : Pence per minute, fixed at all times | (no code) | 2p/min or inclusive | 2p/min | 0845 only
row 10 : Pence per minute, fixed at all times | g28 | 2.128p/min | 3p/min | 0843, 0844
row 11 : Pence per minute, fixed at all times | g10 | 2.553p/min | 4p/min | 0843, 0844
row 12 : Pence per minute, fixed at all times | g11 | 3.404p/min | 5p/min | 0843, 0844
row 13 : Pence per minute, fixed at all times | g6 and p27 | 4.255p/min | 7p/min | 0843, 0844, 0871, 08
row 14 : Pence per minute, fixed at all times | (no code) | 8p/min or inclusive | ~10p/min 0p/ | 0870 only [/Table] Answer this question based on the above table: What prefixes are priced at pence per minute, fixed at all times with a premium of 3p/min?

Answer: 0843, 0844, 0843, 0844
[Table] header: Scheme | Tariff code | BTs retail price (regulated) | Approx premium | Prefixes row 1 : Pence per call, fixed at all times | ff15 | 5.10p/call | 7p/call | 0871, 0872
row 2 : Pence per call, fixed at all times | ff28 NTS | 8.50p/call | 10p/call | 0871, 0872
row 3 : Pence per call, fixed at all times | ff0 PRS | 8.60p/call | 10p/call | 0871, 0872
row 4 : Pence per minute, fixed at all times | g21 | geographic rate or inclusive | nil | 030, 033, 034, 037
row 5 : Pence per minute, fixed at all times | g22 | 0.425p/min | 2p/min | 0843, 0844
row 6 : Pence per minute, fixed at all times | g8 | 0.851p/min | 2p/min | 0843, 0844
row 7 : Pence per minute, fixed at all times | g27 | 1.277p/min | 3p/min | 0843, 0844
row 8 : Pence per minute, fixed at all times | g9 | 1.702p/min | 4p/min | 0843, 0844
row 9 : Pence per minute, fixed at all times | (no code) | 2p/min or inclusive | 2p/min | 0845 only
row 10 : Pence per minute, fixed at all times | g28 | 2.128p/min | 3p/min | 0843, 0844
row 11 : Pence per minute, fixed at all times | g10 | 2.553p/min | 4p/min | 0843, 0844
row 12 : Pence per minute, fixed at all times | g11 | 3.404p/min | 5p/min | 0843, 0844
row 13 : Pence per minute, fixed at all times | g6 and p27 | 4.255p/min | 7p/min | 0843, 0844, 0871, 08
row 14 : Pence per minute, fixed at all times | (no code) | 8p/min or inclusive | ~10p/min 0p/ | 0870 only [/Table] Answer this question based on the above table: What is the bts retail price (regulated) for tariff code g10?

Answer: 2.553p/min
[Table] header: Nominative | Old orthography | New orthography | /e/ or /æ/ (IPA) | Tone (Latvian notation: /~/ - level, /^/ - broken) | Translation row 1 : mēris | mēŗa | mēra | /meːra/ | /mẽra/ | Gen.Sing. plague
row 2 : mērs | mēra | mēra | /meːra/ | /mẽra/ | Gen.Sing. mayor
row 3 : mērs | mēra | mēra | /mæːra/ | /mẽra/ | Gen.Sing. measure
row 4 : mērīt | mēra | mēra | /mæːra/ | /mẽra/ | 3rd Pers.Ind. 
row 5 : bērt | bēru | bēru | /beːru/ | /bêru/ | I poured (sand, grain, etc
row 6 : bēres | bēŗu | bēru | /bæːru/ | /bêru/ | Gen.Pl. funeral [/Table] Answer this question based on the above table: What is the tone for gen.sing. plague?

Answer: /mẽra/
[Table] header: Star (Pismis24-#) | Spectral type | Magnitude (M bol ) | Temperature (K) | Radius (R ☉ ) | Mass (M ☉ ) row 1 : 1NE | O3.5 If * | −10.0 | 42000 | 17 | 74
row 2 : 1SW | O4 III | −9.8 | 41500 | 16 | 66
row 3 : 2 | O5.5 V(f) | −8.9 | 40000 | 12 | 43
row 4 : 3 | O8 V | −7.7 | 33400 | 9 | 25
row 5 : 10 | O9 V | −7.2 | 31500 | 8 | 20
row 6 : 12 | B1 V | −5.3 | 30000 | 4 | 11
row 7 : 13 | O6.5 III((f)) | −8.6 | 35600 | 12 | 35
row 8 : 15 | O8 V | −7.8 | 33400 | 10 | 25
row 9 : 16 | O7.5 V | −9.0 | 34000 | 16 | 38
row 10 : 17 | O3.5 III | −10.1 | 42700 | 17 | 78
row 11 : 18 | B0.5 V | −6.4 | 30000 | 6 | 15 [/Table] Answer this question based on the above table: What is the smallest possible radius?

Answer: 4.0
[Table] header: Star (Pismis24-#) | Spectral type | Magnitude (M bol ) | Temperature (K) | Radius (R ☉ ) | Mass (M ☉ ) row 1 : 1NE | O3.5 If * | −10.0 | 42000 | 17 | 74
row 2 : 1SW | O4 III | −9.8 | 41500 | 16 | 66
row 3 : 2 | O5.5 V(f) | −8.9 | 40000 | 12 | 43
row 4 : 3 | O8 V | −7.7 | 33400 | 9 | 25
row 5 : 10 | O9 V | −7.2 | 31500 | 8 | 20
row 6 : 12 | B1 V | −5.3 | 30000 | 4 | 11
row 7 : 13 | O6.5 III((f)) | −8.6 | 35600 | 12 | 35
row 8 : 15 | O8 V | −7.8 | 33400 | 10 | 25
row 9 : 16 | O7.5 V | −9.0 | 34000 | 16 | 38
row 10 : 17 | O3.5 III | −10.1 | 42700 | 17 | 78
row 11 : 18 | B0.5 V | −6.4 | 30000 | 6 | 15 [/Table] Answer this question based on the above table: What are all the spectral types for star mismis24-# is 1sw?

Answer: O4 III
[Table] header: Star (Pismis24-#) | Spectral type | Magnitude (M bol ) | Temperature (K) | Radius (R ☉ ) | Mass (M ☉ ) row 1 : 1NE | O3.5 If * | −10.0 | 42000 | 17 | 74
row 2 : 1SW | O4 III | −9.8 | 41500 | 16 | 66
row 3 : 2 | O5.5 V(f) | −8.9 | 40000 | 12 | 43
row 4 : 3 | O8 V | −7.7 | 33400 | 9 | 25
row 5 : 10 | O9 V | −7.2 | 31500 | 8 | 20
row 6 : 12 | B1 V | −5.3 | 30000 | 4 | 11
row 7 : 13 | O6.5 III((f)) | −8.6 | 35600 | 12 | 35
row 8 : 15 | O8 V | −7.8 | 33400 | 10 | 25
row 9 : 16 | O7.5 V | −9.0 | 34000 | 16 | 38
row 10 : 17 | O3.5 III | −10.1 | 42700 | 17 | 78
row 11 : 18 | B0.5 V | −6.4 | 30000 | 6 | 15 [/Table] Answer this question based on the above table: If a radius is 10, what  is the lowest possible mass?

Answer: 25.0
[Table] header: Year | Aircraft kilometers | Departures | Flying hours | Passengers | Seat factor | Employees | Profit/loss row 1 : 2002 | 37767709 | 17096 | 55970 | 1339779 | 66% | 3008 | Loss 3,044,000 JOD
row 2 : 2003 | 36933462 | 16202 | 54972 | 1404588 | 68% | 3162 | Loss 9,753,000 JOD
row 3 : 2004 | 44557377 | 19148 | 66004 | 1736637 | 71% | 3313 | Profit 15,327,000 JOD
row 4 : 2005 | 45557377 | 20777 | 68883 | 1821329 | 69% | 3557 | Profit 20,516,000 JOD
row 5 : 2006 | 52274917 | 25661 | 77374 | 2004559 | 66% | 3799 | Profit 6,135,000 JOD
row 6 : 2007 | 56055803 | 30244 | 88378 | 2288000 | 71% | 4275 | Profit 24,111,000 JOD
row 7 : 2008 | 64379058 | 34285 | 101381 | 2701000 | 72% | 4507 | Loss 23,400,000 JOD
row 8 : 2009 | 66017391 | 35715 | 105579 | 2668590 | 68% | 4399 | Profit 28,614,000 JOD [/Table] Answer this question based on the above table: What percentage of seats were filled in 2006?

Answer: 66%
[Table] header: Year | Aircraft kilometers | Departures | Flying hours | Passengers | Seat factor | Employees | Profit/loss row 1 : 2002 | 37767709 | 17096 | 55970 | 1339779 | 66% | 3008 | Loss 3,044,000 JOD
row 2 : 2003 | 36933462 | 16202 | 54972 | 1404588 | 68% | 3162 | Loss 9,753,000 JOD
row 3 : 2004 | 44557377 | 19148 | 66004 | 1736637 | 71% | 3313 | Profit 15,327,000 JOD
row 4 : 2005 | 45557377 | 20777 | 68883 | 1821329 | 69% | 3557 | Profit 20,516,000 JOD
row 5 : 2006 | 52274917 | 25661 | 77374 | 2004559 | 66% | 3799 | Profit 6,135,000 JOD
row 6 : 2007 | 56055803 | 30244 | 88378 | 2288000 | 71% | 4275 | Profit 24,111,000 JOD
row 7 : 2008 | 64379058 | 34285 | 101381 | 2701000 | 72% | 4507 | Loss 23,400,000 JOD
row 8 : 2009 | 66017391 | 35715 | 105579 | 2668590 | 68% | 4399 | Profit 28,614,000 JOD [/Table] Answer this question based on the above table: How many hours were flown in each of the years where more than 64379058.0 kilometers were flown?

Answer: 105579.0
[Table] header: Year | Aircraft kilometers | Departures | Flying hours | Passengers | Seat factor | Employees | Profit/loss row 1 : 2002 | 37767709 | 17096 | 55970 | 1339779 | 66% | 3008 | Loss 3,044,000 JOD
row 2 : 2003 | 36933462 | 16202 | 54972 | 1404588 | 68% | 3162 | Loss 9,753,000 JOD
row 3 : 2004 | 44557377 | 19148 | 66004 | 1736637 | 71% | 3313 | Profit 15,327,000 JOD
row 4 : 2005 | 45557377 | 20777 | 68883 | 1821329 | 69% | 3557 | Profit 20,516,000 JOD
row 5 : 2006 | 52274917 | 25661 | 77374 | 2004559 | 66% | 3799 | Profit 6,135,000 JOD
row 6 : 2007 | 56055803 | 30244 | 88378 | 2288000 | 71% | 4275 | Profit 24,111,000 JOD
row 7 : 2008 | 64379058 | 34285 | 101381 | 2701000 | 72% | 4507 | Loss 23,400,000 JOD
row 8 : 2009 | 66017391 | 35715 | 105579 | 2668590 | 68% | 4399 | Profit 28,614,000 JOD [/Table] Answer this question based on the above table: Of the years that had exactly 17096 departures, what is the greatest number of aircraft kilometers flown?

Answer: 37767709.0
[Table] header: Year | Game or event | Date contested | League or governing body | Sport | Winning team | Losing team | Final score row 1 : 2002 | 2001 World Series, game seven | November 4, 2001 | Major League Baseball | Baseball | Arizona Diamondbacks | New York Yankees | 3-2
row 2 : 2004 | Super Bowl XXXVIII | February 1, 2004 | National Football League | American football | New England Patriots | Carolina Panthers | 32-29
row 3 : 2008 | Super Bowl XLII | February 3, 2008 | National Football League | American football | New York Giants | New England Patriots | 17-14
row 4 : 2009 | Super Bowl XLIII | February 1, 2009 | National Football League | American football | Pittsburgh Steelers | Arizona Cardinals | 27-23
row 5 : 2010 | Winter Olympics men's hockey gold-medal | February 28, 2010 | International Olympic Committee | Ice hockey | Canada | United States | 3-2 ( overtime )
row 6 : 2011 | NFL Week 15 game | December 19, 2010 | National Football League | American football | Philadelphia Eagles | New York Giants | 38–31 [/Table] Answer this question based on the above table: Which winning team beat the New York Yankees?

Answer: Arizona Diamondbacks
[Table] header: Year | Game or event | Date contested | League or governing body | Sport | Winning team | Losing team | Final score row 1 : 2002 | 2001 World Series, game seven | November 4, 2001 | Major League Baseball | Baseball | Arizona Diamondbacks | New York Yankees | 3-2
row 2 : 2004 | Super Bowl XXXVIII | February 1, 2004 | National Football League | American football | New England Patriots | Carolina Panthers | 32-29
row 3 : 2008 | Super Bowl XLII | February 3, 2008 | National Football League | American football | New York Giants | New England Patriots | 17-14
row 4 : 2009 | Super Bowl XLIII | February 1, 2009 | National Football League | American football | Pittsburgh Steelers | Arizona Cardinals | 27-23
row 5 : 2010 | Winter Olympics men's hockey gold-medal | February 28, 2010 | International Olympic Committee | Ice hockey | Canada | United States | 3-2 ( overtime )
row 6 : 2011 | NFL Week 15 game | December 19, 2010 | National Football League | American football | Philadelphia Eagles | New York Giants | 38–31 [/Table] Answer this question based on the above table: What was the final score for the game that was contested on February 1, 2009?

Answer: 27-23
[Table] header: Year | Game or event | Date contested | League or governing body | Sport | Winning team | Losing team | Final score row 1 : 2002 | 2001 World Series, game seven | November 4, 2001 | Major League Baseball | Baseball | Arizona Diamondbacks | New York Yankees | 3-2
row 2 : 2004 | Super Bowl XXXVIII | February 1, 2004 | National Football League | American football | New England Patriots | Carolina Panthers | 32-29
row 3 : 2008 | Super Bowl XLII | February 3, 2008 | National Football League | American football | New York Giants | New England Patriots | 17-14
row 4 : 2009 | Super Bowl XLIII | February 1, 2009 | National Football League | American football | Pittsburgh Steelers | Arizona Cardinals | 27-23
row 5 : 2010 | Winter Olympics men's hockey gold-medal | February 28, 2010 | International Olympic Committee | Ice hockey | Canada | United States | 3-2 ( overtime )
row 6 : 2011 | NFL Week 15 game | December 19, 2010 | National Football League | American football | Philadelphia Eagles | New York Giants | 38–31 [/Table] Answer this question based on the above table: What sport had a final score of 3-2?

Answer: Baseball
[Table] header: Year | Game or event | Date contested | League or governing body | Sport | Winning team | Losing team | Final score row 1 : 2002 | 2001 World Series, game seven | November 4, 2001 | Major League Baseball | Baseball | Arizona Diamondbacks | New York Yankees | 3-2
row 2 : 2004 | Super Bowl XXXVIII | February 1, 2004 | National Football League | American football | New England Patriots | Carolina Panthers | 32-29
row 3 : 2008 | Super Bowl XLII | February 3, 2008 | National Football League | American football | New York Giants | New England Patriots | 17-14
row 4 : 2009 | Super Bowl XLIII | February 1, 2009 | National Football League | American football | Pittsburgh Steelers | Arizona Cardinals | 27-23
row 5 : 2010 | Winter Olympics men's hockey gold-medal | February 28, 2010 | International Olympic Committee | Ice hockey | Canada | United States | 3-2 ( overtime )
row 6 : 2011 | NFL Week 15 game | December 19, 2010 | National Football League | American football | Philadelphia Eagles | New York Giants | 38–31 [/Table] Answer this question based on the above table: Who was the winning team of the game that was contested on February 1, 2009?

Answer: Pittsburgh Steelers
[Table] header: Year | Game or event | Date contested | League or governing body | Sport | Winning team | Losing team | Final score row 1 : 2002 | 2001 World Series, game seven | November 4, 2001 | Major League Baseball | Baseball | Arizona Diamondbacks | New York Yankees | 3-2
row 2 : 2004 | Super Bowl XXXVIII | February 1, 2004 | National Football League | American football | New England Patriots | Carolina Panthers | 32-29
row 3 : 2008 | Super Bowl XLII | February 3, 2008 | National Football League | American football | New York Giants | New England Patriots | 17-14
row 4 : 2009 | Super Bowl XLIII | February 1, 2009 | National Football League | American football | Pittsburgh Steelers | Arizona Cardinals | 27-23
row 5 : 2010 | Winter Olympics men's hockey gold-medal | February 28, 2010 | International Olympic Committee | Ice hockey | Canada | United States | 3-2 ( overtime )
row 6 : 2011 | NFL Week 15 game | December 19, 2010 | National Football League | American football | Philadelphia Eagles | New York Giants | 38–31 [/Table] Answer this question based on the above table: Who was the losing team of the game that was contested on February 1, 2004?

Answer: Carolina Panthers
[Table] header: Crop (kilotonnes) | New South Wales | Victoria | Queensland | Western Australia | South Australia | Tasmania | Total row 1 : Wheat | 6714 | 2173 | 1301 | 6959 | 3382 | 23 | 20552
row 2 : Barley | 1070 | 1173 | 202 | 1511 | 2000 | 25 | 5981
row 3 : Sorghum | 739 | 3 | 1140 | 3 | 0 | 0 | 1885
row 4 : seed Cotton | 663 | 0 | 1140 | 3 | 0 | 0 | 1806
row 5 : Canola | 637 | 312 | 1 | 530 | 225 | 1 | 1706
row 6 : s Oat | 360 | 420 | 7 | 588 | 137 | 8 | 1520
row 7 : s Lupin | 140 | 30 | 0 | 1050 | 103 | 0 | 1323
row 8 : Field s pea | 20 | 166 | 0 | 47 | 190 | 1 | 424
row 9 : Maize | 190 | 8 | 171 | 6 | 0 | 0 | 375
row 10 : s Chickpea | 86 | 20 | 56 | 29 | 5 | 0 | 196
row 11 : s Lentil | 2 | 68 | 0 | 2 | 56 | 0 | 128
row 12 : Broad beans | 42 | 68 | 1 | 0 | 14 | 0 | 125 [/Table] Answer this question based on the above table: what's the minimum total with crop (kilotonnes) being s lupin

Answer: 1323.0
[Table] header: Crop (kilotonnes) | New South Wales | Victoria | Queensland | Western Australia | South Australia | Tasmania | Total row 1 : Wheat | 6714 | 2173 | 1301 | 6959 | 3382 | 23 | 20552
row 2 : Barley | 1070 | 1173 | 202 | 1511 | 2000 | 25 | 5981
row 3 : Sorghum | 739 | 3 | 1140 | 3 | 0 | 0 | 1885
row 4 : seed Cotton | 663 | 0 | 1140 | 3 | 0 | 0 | 1806
row 5 : Canola | 637 | 312 | 1 | 530 | 225 | 1 | 1706
row 6 : s Oat | 360 | 420 | 7 | 588 | 137 | 8 | 1520
row 7 : s Lupin | 140 | 30 | 0 | 1050 | 103 | 0 | 1323
row 8 : Field s pea | 20 | 166 | 0 | 47 | 190 | 1 | 424
row 9 : Maize | 190 | 8 | 171 | 6 | 0 | 0 | 375
row 10 : s Chickpea | 86 | 20 | 56 | 29 | 5 | 0 | 196
row 11 : s Lentil | 2 | 68 | 0 | 2 | 56 | 0 | 128
row 12 : Broad beans | 42 | 68 | 1 | 0 | 14 | 0 | 125 [/Table] Answer this question based on the above table: what's the new south wales with crop (kilotonnes) being canola

Answer: 637.0
[Table] header: Crop (kilotonnes) | New South Wales | Victoria | Queensland | Western Australia | South Australia | Tasmania | Total row 1 : Wheat | 6714 | 2173 | 1301 | 6959 | 3382 | 23 | 20552
row 2 : Barley | 1070 | 1173 | 202 | 1511 | 2000 | 25 | 5981
row 3 : Sorghum | 739 | 3 | 1140 | 3 | 0 | 0 | 1885
row 4 : seed Cotton | 663 | 0 | 1140 | 3 | 0 | 0 | 1806
row 5 : Canola | 637 | 312 | 1 | 530 | 225 | 1 | 1706
row 6 : s Oat | 360 | 420 | 7 | 588 | 137 | 8 | 1520
row 7 : s Lupin | 140 | 30 | 0 | 1050 | 103 | 0 | 1323
row 8 : Field s pea | 20 | 166 | 0 | 47 | 190 | 1 | 424
row 9 : Maize | 190 | 8 | 171 | 6 | 0 | 0 | 375
row 10 : s Chickpea | 86 | 20 | 56 | 29 | 5 | 0 | 196
row 11 : s Lentil | 2 | 68 | 0 | 2 | 56 | 0 | 128
row 12 : Broad beans | 42 | 68 | 1 | 0 | 14 | 0 | 125 [/Table] Answer this question based on the above table: what's the total number of south australia with victoria value of 2173

Answer: 1.0
[Table] header: Crop (kilotonnes) | New South Wales | Victoria | Queensland | Western Australia | South Australia | Tasmania | Total row 1 : Wheat | 6714 | 2173 | 1301 | 6959 | 3382 | 23 | 20552
row 2 : Barley | 1070 | 1173 | 202 | 1511 | 2000 | 25 | 5981
row 3 : Sorghum | 739 | 3 | 1140 | 3 | 0 | 0 | 1885
row 4 : seed Cotton | 663 | 0 | 1140 | 3 | 0 | 0 | 1806
row 5 : Canola | 637 | 312 | 1 | 530 | 225 | 1 | 1706
row 6 : s Oat | 360 | 420 | 7 | 588 | 137 | 8 | 1520
row 7 : s Lupin | 140 | 30 | 0 | 1050 | 103 | 0 | 1323
row 8 : Field s pea | 20 | 166 | 0 | 47 | 190 | 1 | 424
row 9 : Maize | 190 | 8 | 171 | 6 | 0 | 0 | 375
row 10 : s Chickpea | 86 | 20 | 56 | 29 | 5 | 0 | 196
row 11 : s Lentil | 2 | 68 | 0 | 2 | 56 | 0 | 128
row 12 : Broad beans | 42 | 68 | 1 | 0 | 14 | 0 | 125 [/Table] Answer this question based on the above table: what's the minimum tasmania value

Answer: 0.0
[Table] header: Crop (kilotonnes) | New South Wales | Victoria | Queensland | Western Australia | South Australia | Tasmania | Total row 1 : Wheat | 6714 | 2173 | 1301 | 6959 | 3382 | 23 | 20552
row 2 : Barley | 1070 | 1173 | 202 | 1511 | 2000 | 25 | 5981
row 3 : Sorghum | 739 | 3 | 1140 | 3 | 0 | 0 | 1885
row 4 : seed Cotton | 663 | 0 | 1140 | 3 | 0 | 0 | 1806
row 5 : Canola | 637 | 312 | 1 | 530 | 225 | 1 | 1706
row 6 : s Oat | 360 | 420 | 7 | 588 | 137 | 8 | 1520
row 7 : s Lupin | 140 | 30 | 0 | 1050 | 103 | 0 | 1323
row 8 : Field s pea | 20 | 166 | 0 | 47 | 190 | 1 | 424
row 9 : Maize | 190 | 8 | 171 | 6 | 0 | 0 | 375
row 10 : s Chickpea | 86 | 20 | 56 | 29 | 5 | 0 | 196
row 11 : s Lentil | 2 | 68 | 0 | 2 | 56 | 0 | 128
row 12 : Broad beans | 42 | 68 | 1 | 0 | 14 | 0 | 125 [/Table] Answer this question based on the above table: what's the total number of tasmania with new south wales crop of 190 kilotonnes

Answer: 1.0
[Table] header: Approximate Age | Virtues | Psycho Social Crisis | Significant Relationship | Existential Question [ not in citation given ] | Examples row 1 : 0–2 years | Hopes | Basic Trust vs. Mistrust | Mother | Can I Trust the World? | Feeding, Abandonment
row 2 : 2–4 years | Will | Autonomy vs. Shame and | Parents | Is It Okay To Be Me? | Toilet Training, Clothing Themselves
row 3 : 4–5 years | Purpose | Initiative vs. Guilt | Family | Is It Okay For Me To Do, Move | Exploring, Using Tools or Making Art
row 4 : 5–12 years | Competence | Industry vs. Inferiority | Neighbors, School | Can I Make It In The World Of People And | School, Sports
row 5 : 13–19 years | Fidelity | Identity vs. Role Confusion | Peers, Role Model | Who Am I? What Can I Be? | Social Relationships
row 6 : 20–39 years | Love | Intimacy vs. Isolation | Friends, Partners | Can I Love? | Romantic Relationships
row 7 : 40–64 years | Care | Generativity vs. Stagn | Household, Workmates | Can I Make My Life Count? | Work, Parenthood [/Table] Answer this question based on the above table: How many significant relationships list Will as a virtue?

Answer: 1.0
[Table] header: Approximate Age | Virtues | Psycho Social Crisis | Significant Relationship | Existential Question [ not in citation given ] | Examples row 1 : 0–2 years | Hopes | Basic Trust vs. Mistrust | Mother | Can I Trust the World? | Feeding, Abandonment
row 2 : 2–4 years | Will | Autonomy vs. Shame and | Parents | Is It Okay To Be Me? | Toilet Training, Clothing Themselves
row 3 : 4–5 years | Purpose | Initiative vs. Guilt | Family | Is It Okay For Me To Do, Move | Exploring, Using Tools or Making Art
row 4 : 5–12 years | Competence | Industry vs. Inferiority | Neighbors, School | Can I Make It In The World Of People And | School, Sports
row 5 : 13–19 years | Fidelity | Identity vs. Role Confusion | Peers, Role Model | Who Am I? What Can I Be? | Social Relationships
row 6 : 20–39 years | Love | Intimacy vs. Isolation | Friends, Partners | Can I Love? | Romantic Relationships
row 7 : 40–64 years | Care | Generativity vs. Stagn | Household, Workmates | Can I Make My Life Count? | Work, Parenthood [/Table] Answer this question based on the above table: Which examples ask the existential question "Can I Love?"

Answer: Romantic Relationships
[Table] header: Rank | Member Association | Points | Group stage | Play-off | AFC Cup row 1 : 1 | Japan | 946.8 | 4 | 0 | 0
row 2 : 2 | Korea Republic | 886.6 | 4 | 0 | 0
row 3 : 3 | China PR | 796.7 | 4 | 0 | 0
row 4 : 4 | Australia | 567.0 | 1 | 1 | 0
row 5 : 5 | Thailand | 177.2 | 1 | 1 | 0
row 6 : 6 | Singapore | −135.1 | 0 | 0 | 2
row 7 : 7 | Vietnam | −815.7 | 0 | 0 | 2 [/Table] Answer this question based on the above table: How many countries got 796.7 points?

Answer: 1.0
[Table] header: Rank | Member Association | Points | Group stage | Play-off | AFC Cup row 1 : 1 | Japan | 946.8 | 4 | 0 | 0
row 2 : 2 | Korea Republic | 886.6 | 4 | 0 | 0
row 3 : 3 | China PR | 796.7 | 4 | 0 | 0
row 4 : 4 | Australia | 567.0 | 1 | 1 | 0
row 5 : 5 | Thailand | 177.2 | 1 | 1 | 0
row 6 : 6 | Singapore | −135.1 | 0 | 0 | 2
row 7 : 7 | Vietnam | −815.7 | 0 | 0 | 2 [/Table] Answer this question based on the above table: In what group stage were 177.2 points awarded?

Answer: 1.0
[Table] header: Rank | Member Association | Points | Group stage | Play-off | AFC Cup row 1 : 1 | Japan | 946.8 | 4 | 0 | 0
row 2 : 2 | Korea Republic | 886.6 | 4 | 0 | 0
row 3 : 3 | China PR | 796.7 | 4 | 0 | 0
row 4 : 4 | Australia | 567.0 | 1 | 1 | 0
row 5 : 5 | Thailand | 177.2 | 1 | 1 | 0
row 6 : 6 | Singapore | −135.1 | 0 | 0 | 2
row 7 : 7 | Vietnam | −815.7 | 0 | 0 | 2 [/Table] Answer this question based on the above table: What is the lowest group to earn 886.6 points?

Answer: 4.0
[Table] header: Rank | Member Association | Points | Group stage | Play-off | AFC Cup row 1 : 1 | Japan | 946.8 | 4 | 0 | 0
row 2 : 2 | Korea Republic | 886.6 | 4 | 0 | 0
row 3 : 3 | China PR | 796.7 | 4 | 0 | 0
row 4 : 4 | Australia | 567.0 | 1 | 1 | 0
row 5 : 5 | Thailand | 177.2 | 1 | 1 | 0
row 6 : 6 | Singapore | −135.1 | 0 | 0 | 2
row 7 : 7 | Vietnam | −815.7 | 0 | 0 | 2 [/Table] Answer this question based on the above table: How many countries earned 177.2 points?

Answer: 1.0
[Table] header: No. in series | No. in season | Title | Directed by | Written by | Original air date row 1 : 27 | 1 | "Devil" | Peter Tolan | Denis Leary and Peter Tolan | May30,2006
row 2 : 28 | 2 | "Discovery" | Peter Tolan | Peter Tolan and Denis Leary | June6,2006
row 3 : 29 | 3 | "Torture" | Jace Alexander | Evan Reilly | June13,2006
row 4 : 30 | 4 | "Sparks" | Jace Alexander | Denis Leary and Peter Tolan | June20,2006
row 5 : 31 | 5 | "Chlamydia" | John Fortenberry | Evan Reilly | June27,2006
row 6 : 32 | 6 | "Zombies" | John Fortenberry | Peter Tolan and Denis Leary | July11,2006
row 7 : 33 | 7 | "Satisfaction" | Ken Girotti | Denis Leary and Peter Tolan | July18,2006
row 8 : 34 | 8 | "Karate" | Ken Girotti | Evan Reilly | July25,2006
row 9 : 35 | 9 | "Pieces" | Jace Alexander | Peter Tolan and Denis Leary | August1,2006
row 10 : 36 | 10 | "Retards" | Jace Alexander | Evan Reilly | August8,2006
row 11 : 37 | 11 | "Twilight" | John Fortenberry | John Scurti | August15,2006
row 12 : 38 | 12 | "Hell" | Peter Tolan | Denis Leary and Peter Tolan | August22,2006 [/Table] Answer this question based on the above table: what's the original air date with title  "hell"

Answer: August22,2006
[Table] header: Particulars and Characteristics | Shivalik Zone | Mid-Hill Zone | High hill zone | Trance- n Himalaya Zone row 1 : Altitude | Up to 800 m | 800m-1,600m | 1,600m-2,700m | 2,700m-3,600m
row 2 : Type of area | Valley areas and foothills | Hilly and mountain ranges | Alpine zone | Lahaul Spiti and Kinna
row 3 : Climatic conditions | Sub tropical | Slightly warm temperature | Cool temperature with humidity | Dry and extremely cold conditions
row 4 : Rainfall in mm. | 1,500 | 1,500-3000 | 1,000-1,500 | 500
row 5 : % of total geographical area | 30% | 10% | 25% | 35% [/Table] Answer this question based on the above table: What is the percentage of the Shivalik Zone where the percentage of the Mid-Hill Zone is 10%?

Answer: 30%
[Table] header: Particulars and Characteristics | Shivalik Zone | Mid-Hill Zone | High hill zone | Trance- n Himalaya Zone row 1 : Altitude | Up to 800 m | 800m-1,600m | 1,600m-2,700m | 2,700m-3,600m
row 2 : Type of area | Valley areas and foothills | Hilly and mountain ranges | Alpine zone | Lahaul Spiti and Kinna
row 3 : Climatic conditions | Sub tropical | Slightly warm temperature | Cool temperature with humidity | Dry and extremely cold conditions
row 4 : Rainfall in mm. | 1,500 | 1,500-3000 | 1,000-1,500 | 500
row 5 : % of total geographical area | 30% | 10% | 25% | 35% [/Table] Answer this question based on the above table: For mid-hill zone  what is the altitude?

Answer: 800m-1,600m
[Table] header: Particulars and Characteristics | Shivalik Zone | Mid-Hill Zone | High hill zone | Trance- n Himalaya Zone row 1 : Altitude | Up to 800 m | 800m-1,600m | 1,600m-2,700m | 2,700m-3,600m
row 2 : Type of area | Valley areas and foothills | Hilly and mountain ranges | Alpine zone | Lahaul Spiti and Kinna
row 3 : Climatic conditions | Sub tropical | Slightly warm temperature | Cool temperature with humidity | Dry and extremely cold conditions
row 4 : Rainfall in mm. | 1,500 | 1,500-3000 | 1,000-1,500 | 500
row 5 : % of total geographical area | 30% | 10% | 25% | 35% [/Table] Answer this question based on the above table: What are the climatic conditions for the trance- n himalaya zone?

Answer: Dry and extremely cold conditions
[Table] header: Particulars and Characteristics | Shivalik Zone | Mid-Hill Zone | High hill zone | Trance- n Himalaya Zone row 1 : Altitude | Up to 800 m | 800m-1,600m | 1,600m-2,700m | 2,700m-3,600m
row 2 : Type of area | Valley areas and foothills | Hilly and mountain ranges | Alpine zone | Lahaul Spiti and Kinna
row 3 : Climatic conditions | Sub tropical | Slightly warm temperature | Cool temperature with humidity | Dry and extremely cold conditions
row 4 : Rainfall in mm. | 1,500 | 1,500-3000 | 1,000-1,500 | 500
row 5 : % of total geographical area | 30% | 10% | 25% | 35% [/Table] Answer this question based on the above table: What is the percentage of the  trance- n himalaya zone that corresponds with the high hill zone is 25%?

Answer: 35%
[Table] header: Total tenure rank | Uninterrupted rank | Name | State represented | Dates of service | Total tenure time | Uninterrupted time row 1 : 1 | 1 | Robert Byrd | West Virginia | January 3, 1959 – June 28, 2010 | 51 years, 176 days | 51 years, 176 days
row 2 : 2 | 2 | Daniel Inouye | Hawaii | January 3, 1963 – December 17, 2012 | 49 years, 349 days | 49 years, 349 days
row 3 : 4 | 3 | Ted Kennedy | Massachusetts | November 7, 1962 – August 25, 2009 | 46 years, 292 days | 46 years, 292 days
row 4 : 5 | 5 | Carl Hayden | Arizona | March 4, 1927 – January 3, 1969 | 41 years, 305 days | 41 years, 305 days
row 5 : 6 | 6 | John C. Stennis | Mississippi | November 7, 1947 – January 3, 1989 | 41 years, 59 days | 41 years, 59 days
row 6 : 7 | 7 | Ted Stevens | Alaska | December 24, 1968 – January 3, 2009 | 40 years, 10 days | 40 years, 10 days
row 7 : 8 | 8 | Patrick Leahy | Vermont | Since January 3, 1975 | 39years, 29days | 39years, 29days
row 8 : 9 | 9 | Ernest Hollings | South Carolina | November 8, 1966 – January 3, 2005 | 38 years, 55 days | 38 years, 55 days
row 9 : 10 | 10 | Richard Russell, Jr. | Georgia | January 12, 1933 – January 21, 1971 | 38 years, 9 days | 38 years, 9 days
row 10 : 11 | 11 | Russell B. Long | Louisiana | December 31, 1948 – January 3, 1987 | 38 years, 3 days | 38 years, 3 days
row 11 : 13 | 12 | Orrin Hatch | Utah | Since January 3, 1977 | 37years, 29days | 37years, 29days
row 12 : 15 | 13 | Warren Magnuson | Washington | December 18, 1944 – January 3, 1981 | 36 years, 20 days | 36 years, 20 days
row 13 : 16 | 14 | Joe Biden | Delaware | January 3, 1973 – January 15, 2009 | 36 years, 12 days | 36 years, 12 days
row 14 : 17 | 15 | Claiborne Pell | Rhode Island | January 3, 1961 – January 3, 1997 | 36 years, 0 days | 36 years, 0 days
row 15 : 18 | 16 | Pete Domenici | New Mexico | January 3, 1973 – January 3, 2009 | 36 years, 0 days | 36 years, 0 days [/Table] Answer this question based on the above table: What is the state of Ted Stevens?

Answer: Alaska
[Table] header: Country | Players | Standard | Minor | First title | Last title row 1 : England | 35 | 119 | 28 | 1977 | 2013
row 2 : Scotland | 7 | 71 | 7 | 1987 | 2013
row 3 : Wales | 6 | 29 | 3 | 1974 | 2013
row 4 : China | 3 | 9 | 4 | 2005 | 2013
row 5 : Australia | 1 | 8 | 3 | 2006 | 2013
row 6 : Republic of Ireland | 2 | 7 | 0 | 1993 | 2006
row 7 : Northern Ireland | 4 | 5 | 3 | 1982 | 2013
row 8 : Thailand | 1 | 3 | 0 | 1992 | 1995
row 9 : Canada | 2 | 3 | 0 | 1980 | 1990
row 10 : Hong Kong | 1 | 2 | 0 | 2007 | 2013
row 11 : South Africa | 1 | 1 | 0 | 1985 | 1985 [/Table] Answer this question based on the above table: What's the standard of the country who won its first title in 1992?

Answer: 3.0
[Table] header: Country | Players | Standard | Minor | First title | Last title row 1 : England | 35 | 119 | 28 | 1977 | 2013
row 2 : Scotland | 7 | 71 | 7 | 1987 | 2013
row 3 : Wales | 6 | 29 | 3 | 1974 | 2013
row 4 : China | 3 | 9 | 4 | 2005 | 2013
row 5 : Australia | 1 | 8 | 3 | 2006 | 2013
row 6 : Republic of Ireland | 2 | 7 | 0 | 1993 | 2006
row 7 : Northern Ireland | 4 | 5 | 3 | 1982 | 2013
row 8 : Thailand | 1 | 3 | 0 | 1992 | 1995
row 9 : Canada | 2 | 3 | 0 | 1980 | 1990
row 10 : Hong Kong | 1 | 2 | 0 | 2007 | 2013
row 11 : South Africa | 1 | 1 | 0 | 1985 | 1985 [/Table] Answer this question based on the above table: What's the smallest number of players?

Answer: 1.0
[Table] header: Country | Players | Standard | Minor | First title | Last title row 1 : England | 35 | 119 | 28 | 1977 | 2013
row 2 : Scotland | 7 | 71 | 7 | 1987 | 2013
row 3 : Wales | 6 | 29 | 3 | 1974 | 2013
row 4 : China | 3 | 9 | 4 | 2005 | 2013
row 5 : Australia | 1 | 8 | 3 | 2006 | 2013
row 6 : Republic of Ireland | 2 | 7 | 0 | 1993 | 2006
row 7 : Northern Ireland | 4 | 5 | 3 | 1982 | 2013
row 8 : Thailand | 1 | 3 | 0 | 1992 | 1995
row 9 : Canada | 2 | 3 | 0 | 1980 | 1990
row 10 : Hong Kong | 1 | 2 | 0 | 2007 | 2013
row 11 : South Africa | 1 | 1 | 0 | 1985 | 1985 [/Table] Answer this question based on the above table: In what year was the last last title received, by any of the countries?

Answer: 2013.0
[Table] header: Religious group | Population % 1961 | Population % 1971 | Population % 1981 | Population % 1991 | Population % 2001 row 1 : Hindu | 83.45% | 82.73% | 82.30% | 81.53% | 80.46%
row 2 : Muslim | 10.69% | 11.21% | 11.75% | 12.61% | 13.43%
row 3 : Christian | 2.44% | 2.60% | 2.44% | 2.32% | 2.34%
row 4 : Sikh | 1.79% | 1.89% | 1.92% | 1.94% | 1.87%
row 5 : Buddhist | 0.74% | 0.70% | 0.70% | 0.77% | 0.77%
row 6 : Animist , others | 0.43% | 0.41% | 0.42% | 0.44% | 0.72% [/Table] Answer this question based on the above table: What religious groups made up 0.72% of the Indian population in 2001?

Answer: Animist , others
[Table] header: No. in series | No. in season | Title | Directed by | Written by | Original air date | U.S. viewers (millions) row 1 : 119 | 2 | "Room Service" | Kenneth Fink | Dustin Lee Abraham & Henry Alonso | September29,2005 | 28.00
row 2 : 121 | 4 | "Shooting Stars" | Danny Cannon | Danny Cannon | October13,2005 | 28.34
row 3 : 122 | 5 | "Gum Drops" | Richard J. Lewis | Sarah Goldfinger | October20,2005 | 28.48
row 4 : 123 | 6 | "Secrets and Flies" | Terrence O'Hara | Josh Berman | November3,2005 | 28.73
row 5 : 124 | 7 | "A Bullet Runs Through It (Part 1) | Danny Cannon | Richard Catalani & Carol Mendels | November10,2005 | 29.55
row 6 : 125 | 8 | "A Bullet Runs Through It (Part 2) | Kenneth Fink | Richard Catalani & Carol Mendels | November17,2005 | 28.98
row 7 : 126 | 9 | "Dog Eat Dog" | Duane Clark | Allen MacDonald & Dustin Lee | November24,2005 | 25.72
row 8 : 127 | 10 | "Still Life" | Richard J. Lewis | David Rambo | December8,2005 | 30.95
row 9 : 128 | 11 | "Werewolves" | Kenneth Fink | Josh Berman | January5,2006 | 27.23
row 10 : 130 | 13 | "Kiss-Kiss, By | Danny Cannon | David Rambo | January26,2006 | 25.86
row 11 : 132 | 15 | "Pirates of the Third Reich" | Richard J. Lewis | Jerry Stahl | February9,2006 | 27.42
row 12 : 133 | 16 | "Up in Smoke" | Duane Clark | Josh Berman | March2,2006 | 27.81
row 13 : 134 | 17 | "I Like to Watch" | Kenneth Fink | Richard Catalani & Henry Alonso | March9,2006 | 27.16
row 14 : 135 | 18 | "The Unusual Suspect" | Alec Smight | Allen MacDonald | March30,2006 | 25.23
row 15 : 136 | 19 | "Spellbound" | Jeffrey Hunt | Jacqueline Hoyt | April6,2006 | 23.33
row 16 : 137 | 20 | "Poppin' Tags" | Bryan Spicer | Dustin Lee Abraham | April13,2006 | 24.42
row 17 : 138 | 21 | "Rashomama" | Kenneth Fink | Sarah Goldfinger | April27,2006 | 27.36
row 18 : 140 | 23 | "Bang-Bang" (Part 1) | Terrence O'Hara | Naren Shankar & Anthony E. Zu | May11,2006 | 27.04 [/Table] Answer this question based on the above table: What is the original air date for episode 15 of season 6?

Answer: February9,2006
[Table] header: No. in series | No. in season | Title | Directed by | Written by | Original air date | U.S. viewers (millions) row 1 : 119 | 2 | "Room Service" | Kenneth Fink | Dustin Lee Abraham & Henry Alonso | September29,2005 | 28.00
row 2 : 121 | 4 | "Shooting Stars" | Danny Cannon | Danny Cannon | October13,2005 | 28.34
row 3 : 122 | 5 | "Gum Drops" | Richard J. Lewis | Sarah Goldfinger | October20,2005 | 28.48
row 4 : 123 | 6 | "Secrets and Flies" | Terrence O'Hara | Josh Berman | November3,2005 | 28.73
row 5 : 124 | 7 | "A Bullet Runs Through It (Part 1) | Danny Cannon | Richard Catalani & Carol Mendels | November10,2005 | 29.55
row 6 : 125 | 8 | "A Bullet Runs Through It (Part 2) | Kenneth Fink | Richard Catalani & Carol Mendels | November17,2005 | 28.98
row 7 : 126 | 9 | "Dog Eat Dog" | Duane Clark | Allen MacDonald & Dustin Lee | November24,2005 | 25.72
row 8 : 127 | 10 | "Still Life" | Richard J. Lewis | David Rambo | December8,2005 | 30.95
row 9 : 128 | 11 | "Werewolves" | Kenneth Fink | Josh Berman | January5,2006 | 27.23
row 10 : 130 | 13 | "Kiss-Kiss, By | Danny Cannon | David Rambo | January26,2006 | 25.86
row 11 : 132 | 15 | "Pirates of the Third Reich" | Richard J. Lewis | Jerry Stahl | February9,2006 | 27.42
row 12 : 133 | 16 | "Up in Smoke" | Duane Clark | Josh Berman | March2,2006 | 27.81
row 13 : 134 | 17 | "I Like to Watch" | Kenneth Fink | Richard Catalani & Henry Alonso | March9,2006 | 27.16
row 14 : 135 | 18 | "The Unusual Suspect" | Alec Smight | Allen MacDonald | March30,2006 | 25.23
row 15 : 136 | 19 | "Spellbound" | Jeffrey Hunt | Jacqueline Hoyt | April6,2006 | 23.33
row 16 : 137 | 20 | "Poppin' Tags" | Bryan Spicer | Dustin Lee Abraham | April13,2006 | 24.42
row 17 : 138 | 21 | "Rashomama" | Kenneth Fink | Sarah Goldfinger | April27,2006 | 27.36
row 18 : 140 | 23 | "Bang-Bang" (Part 1) | Terrence O'Hara | Naren Shankar & Anthony E. Zu | May11,2006 | 27.04 [/Table] Answer this question based on the above table: How many episodes in season 6 titles "Poppin' Tags"?

Answer: 1.0
[Table] header: Village (German) | Village (Slovene) | Number of people 1991 | Percent of Slovenes 1991 | Percent of Slovenes 1951 row 1 : Bach | Potok | 104 | 15.4% | 98.6%
row 2 : Edling | Kajzaze | 191 | 27.2% | 96.3%
row 3 : Fellersdorf | Bilnjovs | 52 | 36.5% | 83.8%
row 4 : Franzendorf | Branča vas | 164 | 23.8% | 63.8%
row 5 : Großkleinberg | Mala gora | 41 | 36.6% | 100%
row 6 : Ludmannsdorf | Bilčovs | 150 | 50.7% | 88.3%
row 7 : Lukowitz | Koviče | 91 | 12.1% | 60.4%
row 8 : Moschenitzen | Moščenica | 50 | 98.0% | 100%
row 9 : Muschkau | Muškava | 88 | 18.2% | 94.0%
row 10 : Niederdörfl | Spodnja vesca | 98 | 13.3% | 55.3%
row 11 : Oberdörfl | Zgornja vesca | 121 | 27.3% | 46.5%
row 12 : Pugrad | Podgrad | 132 | 28,8% | 37.8%
row 13 : Rupertiberg | Na gori | 57 | 33.3% | 55.4%
row 14 : Selkach | Želuče | 99 | 57.6% | 84.3%
row 15 : Strein | Stranje | 30 | 60.0% | 100%
row 16 : Wellersdorf | Velinja vas | 115 | 40.0% | 88.0% [/Table] Answer this question based on the above table: What was the percent of slovenes 1951 for bach?

Answer: 98.6%
[Table] header: Pick # | CFL Team | Player | Position | College row 1 : 25 | Hamilton Tiger-Cats (via Montreal via Hamilton | Robert Pavlovic | TE | South Carolina
row 2 : 26 | Edmonton Eskimos | Micheal Jean-louis | DL | Laval
row 3 : 27 | Edmonton Eskimos (via Winnipeg) | Calvin McCarty | RB | Western Washington
row 4 : 28 | Saskatchewan Roughriders | Ryan Ackerman | OL | Regina
row 5 : 29 | Toronto Argonauts | Eric Maranda | LB | Laval
row 6 : 30 | Toronto Argonauts (via Calgary) | Steve Schmidt | TE | San Diego State
row 7 : 31 | Montreal Alouettes | James Judges | DE | Buffalo [/Table] Answer this question based on the above table: What college's team is the Saskatchewan Roughriders?

Answer: Regina
[Table] header: Pick # | CFL Team | Player | Position | College row 1 : 25 | Hamilton Tiger-Cats (via Montreal via Hamilton | Robert Pavlovic | TE | South Carolina
row 2 : 26 | Edmonton Eskimos | Micheal Jean-louis | DL | Laval
row 3 : 27 | Edmonton Eskimos (via Winnipeg) | Calvin McCarty | RB | Western Washington
row 4 : 28 | Saskatchewan Roughriders | Ryan Ackerman | OL | Regina
row 5 : 29 | Toronto Argonauts | Eric Maranda | LB | Laval
row 6 : 30 | Toronto Argonauts (via Calgary) | Steve Schmidt | TE | San Diego State
row 7 : 31 | Montreal Alouettes | James Judges | DE | Buffalo [/Table] Answer this question based on the above table: What position did Calvin Mccarty play?

Answer: RB
[Table] header: Pick # | CFL Team | Player | Position | College row 1 : 25 | Hamilton Tiger-Cats (via Montreal via Hamilton | Robert Pavlovic | TE | South Carolina
row 2 : 26 | Edmonton Eskimos | Micheal Jean-louis | DL | Laval
row 3 : 27 | Edmonton Eskimos (via Winnipeg) | Calvin McCarty | RB | Western Washington
row 4 : 28 | Saskatchewan Roughriders | Ryan Ackerman | OL | Regina
row 5 : 29 | Toronto Argonauts | Eric Maranda | LB | Laval
row 6 : 30 | Toronto Argonauts (via Calgary) | Steve Schmidt | TE | San Diego State
row 7 : 31 | Montreal Alouettes | James Judges | DE | Buffalo [/Table] Answer this question based on the above table: How many people were pick #30?

Answer: 1.0
[Table] header: Pick # | CFL Team | Player | Position | College row 1 : 25 | Hamilton Tiger-Cats (via Montreal via Hamilton | Robert Pavlovic | TE | South Carolina
row 2 : 26 | Edmonton Eskimos | Micheal Jean-louis | DL | Laval
row 3 : 27 | Edmonton Eskimos (via Winnipeg) | Calvin McCarty | RB | Western Washington
row 4 : 28 | Saskatchewan Roughriders | Ryan Ackerman | OL | Regina
row 5 : 29 | Toronto Argonauts | Eric Maranda | LB | Laval
row 6 : 30 | Toronto Argonauts (via Calgary) | Steve Schmidt | TE | San Diego State
row 7 : 31 | Montreal Alouettes | James Judges | DE | Buffalo [/Table] Answer this question based on the above table: What college did Calvin McCarty play at?

Answer: Western Washington
[Table] header: Pick # | CFL Team | Player | Position | College row 1 : 25 | Hamilton Tiger-Cats (via Montreal via Hamilton | Robert Pavlovic | TE | South Carolina
row 2 : 26 | Edmonton Eskimos | Micheal Jean-louis | DL | Laval
row 3 : 27 | Edmonton Eskimos (via Winnipeg) | Calvin McCarty | RB | Western Washington
row 4 : 28 | Saskatchewan Roughriders | Ryan Ackerman | OL | Regina
row 5 : 29 | Toronto Argonauts | Eric Maranda | LB | Laval
row 6 : 30 | Toronto Argonauts (via Calgary) | Steve Schmidt | TE | San Diego State
row 7 : 31 | Montreal Alouettes | James Judges | DE | Buffalo [/Table] Answer this question based on the above table: What college had a LB in the draft?

Answer: Laval
[Table] header: Game | Date | Team | Score | High points | High rebounds | High assists | Location Attendance | Record row 1 : 47 | February 2 | @ Atlanta | W 103–91 (OT) | Chris Bosh (24) | Chris Bosh (10) | T. J. Ford (10) | Philips Arena 13,200 | 24–23
row 2 : 48 | February 4 | L.A. Clippers | W 122–110 (OT) | Chris Bosh (27) | Chris Bosh (7) | José Calderón (12) | Air Canada Centre 17,214 | 25–23
row 3 : 49 | February 7 | Orlando | W 113–103 (OT) | Chris Bosh (41) | Chris Bosh (8) | José Calderón , T. J. | Air Canada Centre 15,157 | 26–23
row 4 : 50 | February 9 | L.A. Lakers | W 96–92 (OT) | Chris Bosh (29) | Chris Bosh (11) | T. J. Ford (7) | Air Canada Centre 20,012 | 27–23
row 5 : 51 | February 10 | @ Detroit | L 92–98 (OT) | T. J. Ford (17) | Chris Bosh (11) | T. J. Ford (11) | The Palace of Auburn Hills 22,076 | 27–24
row 6 : 52 | February 13 | @ Chicago | W 112–111 (OT) | Chris Bosh (25) | Chris Bosh (14) | José Calderón (9) | United Center 21,776 | 28–24
row 7 : 53 | February 14 | New Jersey | W 120–109 (OT) | Chris Bosh (25) | Chris Bosh (9) | T. J. Ford (8) | Air Canada Centre 19,800 | 29–24
row 8 : 54 | February 21 | Cleveland | L 85–86 (OT) | Chris Bosh (24) | Chris Bosh (10) | T. J. Ford (9) | Air Canada Centre 19,800 | 29–25
row 9 : 55 | February 23 | Indiana | W 110–88 (OT) | Chris Bosh (23) | Chris Bosh (12) | José Calderón (12) | Air Canada Centre 19,481 | 30–25
row 10 : 56 | February 24 | @ Charlotte | W 93–76 (OT) | Chris Bosh (24) | Andrea Bargnani , Chris Bos | T. J. Ford (4) | Charlotte Bobcats Arena 17,091 | 31–25
row 11 : 57 | February 26 | @ San Antonio | L 91–107 (OT) | Andrea Bargnani (17) | Chris Bosh , Radoslav Nest | José Calderón (8) | AT&T Center 18,563 | 31–26 [/Table] Answer this question based on the above table: Who got high assists for the game played on February 9?

Answer: T. J. Ford (7)
[Table] header: Name of lava dome | Country | Volcanic area | Composition | Last eruption or growth episode row 1 : Chaitén lava dome | Chile | Southern Volcanic Zone | Rhyolite | 2009
row 2 : Cordón Caulle lava domes | Chile | Southern Volcanic Zone | Rhyodacite to Rhyo | Holocene
row 3 : Galeras lava dome | Colombia | Northern Volcanic Zone | Unknown | 2010
row 4 : Katla lava dome | Iceland | Iceland hotspot | Rhyolite | 1999 onwards
row 5 : Lassen Peak | USA | Cascade Volcanic Arc | Dacite | 1917
row 6 : Mount Meager lava domes | Canada | Cascade Volcanic Arc | Dacite | 2350 BP
row 7 : Mount Merapi lava dome | Indonesia | Sunda Arc | Unknown | 2010
row 8 : Nea Kameni | Greece | South Aegean Volcanic Arc | Dacite | 1950
row 9 : Novarupta lava dome | Alaska ( USA ) | Aleutian Arc | Unknown | 1912
row 10 : Nevados de Chillán lava dome | Chile | Southern Volcanic Zone | Dacite | 1986
row 11 : Puy de Dôme | France | Chaîne des Puys | Unknown | ca. 5760 BC
row 12 : Santa María lava dome | Guatemala | Central America Volcanic Arc | Dacite | 2009
row 13 : Sollipulli lava dome | Chile | Southern Volcanic Zone | Andesite to Dacite | 1240 ± 50 years
row 14 : Soufrière Hills lava dome | Montserrat | Lesser Antilles | Andesite | 2009
row 15 : Mount St. Helens lava domes | USA | Cascade Volcanic Arc | Dacite | 2008
row 16 : Torfajökull lava dome | Iceland | Iceland hotspot | Rhyolite | 1477
row 17 : Tata Sabaya lava domes | Bolivia | Andes | Unknown | ~ Holocene
row 18 : Valles lava dome | USA | Jemez Mountains | Unknown | 50,000-60,000 BP [/Table] Answer this question based on the above table: Which lava domes erupted or had a growth episode during the Holocene period?

Answer: Cordón Caulle lava domes