sail/symbolic-instruction-tuning huggingface dataset:
[Table] header: Year | Team | League | Record | Finish | Organization row 1 : 1968 | Johnson City Yankees | Appalachian League | 39-32 | 3rd | New York Yankees
row 2 : 1969 | Kinston Eagles | Carolina League | 74-68 | 5th | New York Yankees
row 3 : 1970 | Manchester Yankees | Eastern League | 66-73 | 5th | New York Yankees
row 4 : 1971 | Kinston Eagles | Carolina League | 83-52 | 2nd | New York Yankees
row 5 : 1972 | Kinston Eagles | Carolina League | 73-64 | 3rd | New York Yankees
row 6 : 1973 | Kinston Eagles | Carolina League | 68-69 | 4th | New York Yankees
row 7 : 1974 | Johnson City Yankees | Appalachian League | 31-38 | 6th | New York Yankees
row 8 : 1975 | Kingsport Braves | Appalachian League | 33-33 | 6th | Atlanta Braves
row 9 : 1976 | Greenwood Braves | Western Carolinas League | 75-64 | 2nd | Atlanta Braves
row 10 : 1977 | Savannah Braves | Southern League | 77-63 | 3rd | Atlanta Braves
row 11 : 1979 | Kingsport Braves | Appalachian League | 39-31 | 2nd | Atlanta Braves [/Table] Answer this question based on the above table: Which organization has a Finish of 4th?

Answer: New York Yankees
[Table] header: Year | Team | League | Record | Finish | Organization row 1 : 1968 | Johnson City Yankees | Appalachian League | 39-32 | 3rd | New York Yankees
row 2 : 1969 | Kinston Eagles | Carolina League | 74-68 | 5th | New York Yankees
row 3 : 1970 | Manchester Yankees | Eastern League | 66-73 | 5th | New York Yankees
row 4 : 1971 | Kinston Eagles | Carolina League | 83-52 | 2nd | New York Yankees
row 5 : 1972 | Kinston Eagles | Carolina League | 73-64 | 3rd | New York Yankees
row 6 : 1973 | Kinston Eagles | Carolina League | 68-69 | 4th | New York Yankees
row 7 : 1974 | Johnson City Yankees | Appalachian League | 31-38 | 6th | New York Yankees
row 8 : 1975 | Kingsport Braves | Appalachian League | 33-33 | 6th | Atlanta Braves
row 9 : 1976 | Greenwood Braves | Western Carolinas League | 75-64 | 2nd | Atlanta Braves
row 10 : 1977 | Savannah Braves | Southern League | 77-63 | 3rd | Atlanta Braves
row 11 : 1979 | Kingsport Braves | Appalachian League | 39-31 | 2nd | Atlanta Braves [/Table] Answer this question based on the above table: Which year has an Organization of new york yankees, and a Team of johnson city yankees?

Answer: 1968, 1974
[Table] header: Grid | Constructor | Qual | Rank | Laps | Time/Retired row 1 : 2 | Kurtis Kraft - Offenhauser | 135.03 | 5 | 200 | 3:57:38.05
row 2 : 7 | Kurtis Kraft - Offenhauser | 132.18 | 26 | 200 | + 1:47.24
row 3 : 3 | Kurtis Kraft - Offenhauser | 134.3 | 8 | 200 | + 2:51.39
row 4 : 31 | Sherman - Offenhauser | 132.22 | 25 | 200 | + 4:40.12
row 5 : 29 | Schroeder - Offenhauser | 134.09 | 9 | 200 | + 4:52.23
row 6 : 17 | Moore - Offenhauser | 133.89 | 12 | 200 | + 5:40.02
row 7 : 24 | Kurtis Kraft - Offenhauser | 132.89 | 22 | 193 | + 7 Laps
row 8 : 4 | Deidt - Offenhauser | 133.74 | 15 | 180 | + 20 Laps
row 9 : 9 | Deidt - Offenhauser | 131.95 | 29 | 178 | Spun Off
row 10 : 1 | Kurtis Kraft - Novi | 136.49 | 2 | 151 | Retirement
row 11 : 22 | Kurtis Kraft - Offenhauser | 133.1 | 20 | 142 | Engine
row 12 : 12 | Kurtis Kraft - Offenhauser | 132.99 | 21 | 135 | Engine
row 13 : 16 | Kurtis Kraft - Offenhauser | 134.03 | 11 | 129 | Engine
row 14 : 5 | Deidt - Offenhauser | 133.42 | 18 | 126 | Accident
row 15 : 14 | Kuzma - Offenhauser | 136.87 | 1 | 123 | Engine
row 16 : 27 | Pawl - Offenhauser | 133.51 | 17 | 110 | Axle
row 17 : 11 | Kurtis Kraft - Offenhauser | 135.02 | 6 | 109 | Clutch
row 18 : 15 | Kurtis Kraft - Offenhauser | 135.61 | 4 | 93 | Fire
row 19 : 33 | Hall - Offenhauser | 131.47 | 32 | 97 | Clutch
row 20 : 19 | Marchese - Offenhauser | 133.76 | 14 | 93 | Fire
row 21 : 8 | Kurtis Kraft - Offenhauser | 132.15 | 27 | 87 | Magneto
row 22 : 10 | Kurtis Kraft - Offenhauser | 131.89 | 31 | 80 | Engine
row 23 : 6 | Kurtis Kraft - Offenhauser | 132.31 | 24 | 78 | Engine
row 24 : 32 | Schroeder - Offenhauser | 131.97 | 28 | 73 | Overheating
row 25 : 28 | Kurtis Kraft - Novi | 135.79 | 3 | 56 | Ignition
row 26 : 13 | Kurtis Kraft - Offenhauser | 131.9 | 30 | 55 | Magneto
row 27 : 25 | Bromme - Offenhauser | 134.86 | 7 | 34 | Oil Pipe
row 28 : 18 | Kurtis Kraft - Offenhauser | 133.83 | 13 | 30 | Axle
row 29 : 20 | Trevis - Offenhauser | 133.72 | 16 | 29 | Oil leak
row 30 : 21 | Lesovsky - Offenhauser | 133.35 | 19 | 29 | Transmission
row 31 : 23 | Deidt - Offenhauser | 123.92 | 33 | 18 | Engine
row 32 : 26 | Maserati - Offenhauser | 132.47 | 23 | 15 | Fuel leak
row 33 : 30 | Watson - Offenhauser | 134.09 | 10 | 8 | Transmission [/Table] Answer this question based on the above table: Which constructor had a grid number bigger than 14, laps of more than 93, and rank higher than 25?

Answer: Hall - Offenhauser
[Table] header: Grid | Constructor | Qual | Rank | Laps | Time/Retired row 1 : 2 | Kurtis Kraft - Offenhauser | 135.03 | 5 | 200 | 3:57:38.05
row 2 : 7 | Kurtis Kraft - Offenhauser | 132.18 | 26 | 200 | + 1:47.24
row 3 : 3 | Kurtis Kraft - Offenhauser | 134.3 | 8 | 200 | + 2:51.39
row 4 : 31 | Sherman - Offenhauser | 132.22 | 25 | 200 | + 4:40.12
row 5 : 29 | Schroeder - Offenhauser | 134.09 | 9 | 200 | + 4:52.23
row 6 : 17 | Moore - Offenhauser | 133.89 | 12 | 200 | + 5:40.02
row 7 : 24 | Kurtis Kraft - Offenhauser | 132.89 | 22 | 193 | + 7 Laps
row 8 : 4 | Deidt - Offenhauser | 133.74 | 15 | 180 | + 20 Laps
row 9 : 9 | Deidt - Offenhauser | 131.95 | 29 | 178 | Spun Off
row 10 : 1 | Kurtis Kraft - Novi | 136.49 | 2 | 151 | Retirement
row 11 : 22 | Kurtis Kraft - Offenhauser | 133.1 | 20 | 142 | Engine
row 12 : 12 | Kurtis Kraft - Offenhauser | 132.99 | 21 | 135 | Engine
row 13 : 16 | Kurtis Kraft - Offenhauser | 134.03 | 11 | 129 | Engine
row 14 : 5 | Deidt - Offenhauser | 133.42 | 18 | 126 | Accident
row 15 : 14 | Kuzma - Offenhauser | 136.87 | 1 | 123 | Engine
row 16 : 27 | Pawl - Offenhauser | 133.51 | 17 | 110 | Axle
row 17 : 11 | Kurtis Kraft - Offenhauser | 135.02 | 6 | 109 | Clutch
row 18 : 15 | Kurtis Kraft - Offenhauser | 135.61 | 4 | 93 | Fire
row 19 : 33 | Hall - Offenhauser | 131.47 | 32 | 97 | Clutch
row 20 : 19 | Marchese - Offenhauser | 133.76 | 14 | 93 | Fire
row 21 : 8 | Kurtis Kraft - Offenhauser | 132.15 | 27 | 87 | Magneto
row 22 : 10 | Kurtis Kraft - Offenhauser | 131.89 | 31 | 80 | Engine
row 23 : 6 | Kurtis Kraft - Offenhauser | 132.31 | 24 | 78 | Engine
row 24 : 32 | Schroeder - Offenhauser | 131.97 | 28 | 73 | Overheating
row 25 : 28 | Kurtis Kraft - Novi | 135.79 | 3 | 56 | Ignition
row 26 : 13 | Kurtis Kraft - Offenhauser | 131.9 | 30 | 55 | Magneto
row 27 : 25 | Bromme - Offenhauser | 134.86 | 7 | 34 | Oil Pipe
row 28 : 18 | Kurtis Kraft - Offenhauser | 133.83 | 13 | 30 | Axle
row 29 : 20 | Trevis - Offenhauser | 133.72 | 16 | 29 | Oil leak
row 30 : 21 | Lesovsky - Offenhauser | 133.35 | 19 | 29 | Transmission
row 31 : 23 | Deidt - Offenhauser | 123.92 | 33 | 18 | Engine
row 32 : 26 | Maserati - Offenhauser | 132.47 | 23 | 15 | Fuel leak
row 33 : 30 | Watson - Offenhauser | 134.09 | 10 | 8 | Transmission [/Table] Answer this question based on the above table: Which qual has rank of more than 28 and a grid number that is bigger than 23?

Answer: 131.47
[Table] header: Grid | Constructor | Qual | Rank | Laps | Time/Retired row 1 : 2 | Kurtis Kraft - Offenhauser | 135.03 | 5 | 200 | 3:57:38.05
row 2 : 7 | Kurtis Kraft - Offenhauser | 132.18 | 26 | 200 | + 1:47.24
row 3 : 3 | Kurtis Kraft - Offenhauser | 134.3 | 8 | 200 | + 2:51.39
row 4 : 31 | Sherman - Offenhauser | 132.22 | 25 | 200 | + 4:40.12
row 5 : 29 | Schroeder - Offenhauser | 134.09 | 9 | 200 | + 4:52.23
row 6 : 17 | Moore - Offenhauser | 133.89 | 12 | 200 | + 5:40.02
row 7 : 24 | Kurtis Kraft - Offenhauser | 132.89 | 22 | 193 | + 7 Laps
row 8 : 4 | Deidt - Offenhauser | 133.74 | 15 | 180 | + 20 Laps
row 9 : 9 | Deidt - Offenhauser | 131.95 | 29 | 178 | Spun Off
row 10 : 1 | Kurtis Kraft - Novi | 136.49 | 2 | 151 | Retirement
row 11 : 22 | Kurtis Kraft - Offenhauser | 133.1 | 20 | 142 | Engine
row 12 : 12 | Kurtis Kraft - Offenhauser | 132.99 | 21 | 135 | Engine
row 13 : 16 | Kurtis Kraft - Offenhauser | 134.03 | 11 | 129 | Engine
row 14 : 5 | Deidt - Offenhauser | 133.42 | 18 | 126 | Accident
row 15 : 14 | Kuzma - Offenhauser | 136.87 | 1 | 123 | Engine
row 16 : 27 | Pawl - Offenhauser | 133.51 | 17 | 110 | Axle
row 17 : 11 | Kurtis Kraft - Offenhauser | 135.02 | 6 | 109 | Clutch
row 18 : 15 | Kurtis Kraft - Offenhauser | 135.61 | 4 | 93 | Fire
row 19 : 33 | Hall - Offenhauser | 131.47 | 32 | 97 | Clutch
row 20 : 19 | Marchese - Offenhauser | 133.76 | 14 | 93 | Fire
row 21 : 8 | Kurtis Kraft - Offenhauser | 132.15 | 27 | 87 | Magneto
row 22 : 10 | Kurtis Kraft - Offenhauser | 131.89 | 31 | 80 | Engine
row 23 : 6 | Kurtis Kraft - Offenhauser | 132.31 | 24 | 78 | Engine
row 24 : 32 | Schroeder - Offenhauser | 131.97 | 28 | 73 | Overheating
row 25 : 28 | Kurtis Kraft - Novi | 135.79 | 3 | 56 | Ignition
row 26 : 13 | Kurtis Kraft - Offenhauser | 131.9 | 30 | 55 | Magneto
row 27 : 25 | Bromme - Offenhauser | 134.86 | 7 | 34 | Oil Pipe
row 28 : 18 | Kurtis Kraft - Offenhauser | 133.83 | 13 | 30 | Axle
row 29 : 20 | Trevis - Offenhauser | 133.72 | 16 | 29 | Oil leak
row 30 : 21 | Lesovsky - Offenhauser | 133.35 | 19 | 29 | Transmission
row 31 : 23 | Deidt - Offenhauser | 123.92 | 33 | 18 | Engine
row 32 : 26 | Maserati - Offenhauser | 132.47 | 23 | 15 | Fuel leak
row 33 : 30 | Watson - Offenhauser | 134.09 | 10 | 8 | Transmission [/Table] Answer this question based on the above table: What is the total qual where the grid number is 24?

Answer: 132.89
[Table] header: Chemical class | Group | Formula | Prefix | Suffix | Example row 1 : Alkane | Alkyl | R(CH 2 ) n H | alkyl- | -ane | Ethane
row 2 : Alkene | Alkenyl | R 2 C=CR 2 | alkenyl- | -ene | Ethylene (Ethene)
row 3 : Alkyne | Alkynyl | RC≡CR' | alkynyl- | -yne | Acetylene (Ethyne
row 4 : Benzene derivative | Phenyl | RC 6 H 5 RPh | phenyl- | -benzene | Cumene (2-phenylpropan
row 5 : Toluene derivative | Benzyl | RCH 2 C 6 H 5 RBn | benzyl- | 1-(substituent)tol | Benzyl bromide (α- [/Table] Answer this question based on the above table: What is the Suffix for the Group of Benzyl?

Answer: 1-(substituent)tol
[Table] header: Chemical class | Group | Formula | Prefix | Suffix | Example row 1 : Alkane | Alkyl | R(CH 2 ) n H | alkyl- | -ane | Ethane
row 2 : Alkene | Alkenyl | R 2 C=CR 2 | alkenyl- | -ene | Ethylene (Ethene)
row 3 : Alkyne | Alkynyl | RC≡CR' | alkynyl- | -yne | Acetylene (Ethyne
row 4 : Benzene derivative | Phenyl | RC 6 H 5 RPh | phenyl- | -benzene | Cumene (2-phenylpropan
row 5 : Toluene derivative | Benzyl | RCH 2 C 6 H 5 RBn | benzyl- | 1-(substituent)tol | Benzyl bromide (α- [/Table] Answer this question based on the above table: Which Formula has a Prefix of alkyl-?

Answer: R(CH 2 ) n H
[Table] header: Date | Visitor | Score | Home | Decision | Attendance | Record row 1 : March 1 | Tampa Bay | 1 – 5 | Carolina | Smith | 16,831 | 26–32–7
row 2 : March 4 | Pittsburgh | 2 – 0 | Tampa Bay | Smith | 19,206 | 26–33–7
row 3 : March 6 | Tampa Bay | 2 – 3 | Philadelphia | Smith | 19,217 | 26–34–7
row 4 : March 7 | Tampa Bay | 1 – 2 | New Jersey | Ramo | 15,670 | 26–34–8
row 5 : March 9 | Tampa Bay | 3 – 5 | Columbus | Smith | 14,796 | 26–35–8
row 6 : March 11 | NY Islanders | 4 – 8 | Tampa Bay | Ramo | 19,111 | 27–35–8
row 7 : March 13 | Tampa Bay | 3 – 1 | Boston | Smith | 13,373 | 28–35–8
row 8 : March 15 | NY Rangers | 0 – 3 | Tampa Bay | Smith | 20,926 | 29–35–8
row 9 : March 19 | Tampa Bay | 4 – 7 | Buffalo | Ramo | 18,690 | 29–36–8
row 10 : March 20 | Tampa Bay | 2 – 4 | Pittsburgh | Smith | 17,044 | 29–37–8
row 11 : March 22 | Tampa Bay | 2 – 4 | Florida | Smith | 18,502 | 29–38–8
row 12 : March 25 | Florida | 1 – 3 | Tampa Bay | Ramo | 16,110 | 30–38–8
row 13 : March 27 | Washington | 4 – 3 | Tampa Bay | Ramo | 17,777 | 30–38–9
row 14 : March 29 | Carolina | 1 – 2 | Tampa Bay | Ramo | 19,311 | 31–38–9
row 15 : March 31 | Atlanta | 2 – 0 | Tampa Bay | Smith | 17,411 | 31–39–9 [/Table] Answer this question based on the above table: Who was the Home team when the Visitor was Florida, with a Decision of Ramo?

Answer: Tampa Bay
[Table] header: Date | Visitor | Score | Home | Decision | Attendance | Record row 1 : March 1 | Tampa Bay | 1 – 5 | Carolina | Smith | 16,831 | 26–32–7
row 2 : March 4 | Pittsburgh | 2 – 0 | Tampa Bay | Smith | 19,206 | 26–33–7
row 3 : March 6 | Tampa Bay | 2 – 3 | Philadelphia | Smith | 19,217 | 26–34–7
row 4 : March 7 | Tampa Bay | 1 – 2 | New Jersey | Ramo | 15,670 | 26–34–8
row 5 : March 9 | Tampa Bay | 3 – 5 | Columbus | Smith | 14,796 | 26–35–8
row 6 : March 11 | NY Islanders | 4 – 8 | Tampa Bay | Ramo | 19,111 | 27–35–8
row 7 : March 13 | Tampa Bay | 3 – 1 | Boston | Smith | 13,373 | 28–35–8
row 8 : March 15 | NY Rangers | 0 – 3 | Tampa Bay | Smith | 20,926 | 29–35–8
row 9 : March 19 | Tampa Bay | 4 – 7 | Buffalo | Ramo | 18,690 | 29–36–8
row 10 : March 20 | Tampa Bay | 2 – 4 | Pittsburgh | Smith | 17,044 | 29–37–8
row 11 : March 22 | Tampa Bay | 2 – 4 | Florida | Smith | 18,502 | 29–38–8
row 12 : March 25 | Florida | 1 – 3 | Tampa Bay | Ramo | 16,110 | 30–38–8
row 13 : March 27 | Washington | 4 – 3 | Tampa Bay | Ramo | 17,777 | 30–38–9
row 14 : March 29 | Carolina | 1 – 2 | Tampa Bay | Ramo | 19,311 | 31–38–9
row 15 : March 31 | Atlanta | 2 – 0 | Tampa Bay | Smith | 17,411 | 31–39–9 [/Table] Answer this question based on the above table: What was the Decision when the Visitor was Carolina?

Answer: Ramo
[Table] header: Home team | Home team score | Away team | Away team score | Venue | Crowd | Date row 1 : Essendon | 19.18 (132) | Hawthorn | 3.7 (25) | Windy Hill | 8,000 | 22 July 1944
row 2 : Collingwood | 13.11 (89) | North Melbourne | 10.10 (70) | Victoria Park | 11,000 | 22 July 1944
row 3 : Carlton | 10.14 (74) | South Melbourne | 8.12 (60) | Princes Park | 15,000 | 22 July 1944
row 4 : Richmond | 17.8 (110) | Melbourne | 9.15 (69) | Punt Road Oval | 19,000 | 22 July 1944
row 5 : Geelong | 11.11 (77) | Footscray | 14.17 (101) | Kardinia Park | 7,000 | 22 July 1944
row 6 : St Kilda | 12.16 (88) | Fitzroy | 8.14 (62) | Junction Oval | 14,000 | 22 July 1944 [/Table] Answer this question based on the above table: Which crowd has an Away team score of 10.10 (70)?

Answer: 11000.0
[Table] header: Home team | Home team score | Away team | Away team score | Venue | Crowd | Date row 1 : Essendon | 19.18 (132) | Hawthorn | 3.7 (25) | Windy Hill | 8,000 | 22 July 1944
row 2 : Collingwood | 13.11 (89) | North Melbourne | 10.10 (70) | Victoria Park | 11,000 | 22 July 1944
row 3 : Carlton | 10.14 (74) | South Melbourne | 8.12 (60) | Princes Park | 15,000 | 22 July 1944
row 4 : Richmond | 17.8 (110) | Melbourne | 9.15 (69) | Punt Road Oval | 19,000 | 22 July 1944
row 5 : Geelong | 11.11 (77) | Footscray | 14.17 (101) | Kardinia Park | 7,000 | 22 July 1944
row 6 : St Kilda | 12.16 (88) | Fitzroy | 8.14 (62) | Junction Oval | 14,000 | 22 July 1944 [/Table] Answer this question based on the above table: What is the home score with Away team score of 3.7 (25)?

Answer: 19.18 (132)
[Table] header: Home team | Home team score | Away team | Away team score | Venue | Crowd | Date row 1 : Essendon | 19.18 (132) | Hawthorn | 3.7 (25) | Windy Hill | 8,000 | 22 July 1944
row 2 : Collingwood | 13.11 (89) | North Melbourne | 10.10 (70) | Victoria Park | 11,000 | 22 July 1944
row 3 : Carlton | 10.14 (74) | South Melbourne | 8.12 (60) | Princes Park | 15,000 | 22 July 1944
row 4 : Richmond | 17.8 (110) | Melbourne | 9.15 (69) | Punt Road Oval | 19,000 | 22 July 1944
row 5 : Geelong | 11.11 (77) | Footscray | 14.17 (101) | Kardinia Park | 7,000 | 22 July 1944
row 6 : St Kilda | 12.16 (88) | Fitzroy | 8.14 (62) | Junction Oval | 14,000 | 22 July 1944 [/Table] Answer this question based on the above table: Which away team was at windy hill?

Answer: Hawthorn
[Table] header: Home team | Home team score | Away team | Away team score | Venue | Crowd | Date row 1 : Essendon | 19.18 (132) | Hawthorn | 3.7 (25) | Windy Hill | 8,000 | 22 July 1944
row 2 : Collingwood | 13.11 (89) | North Melbourne | 10.10 (70) | Victoria Park | 11,000 | 22 July 1944
row 3 : Carlton | 10.14 (74) | South Melbourne | 8.12 (60) | Princes Park | 15,000 | 22 July 1944
row 4 : Richmond | 17.8 (110) | Melbourne | 9.15 (69) | Punt Road Oval | 19,000 | 22 July 1944
row 5 : Geelong | 11.11 (77) | Footscray | 14.17 (101) | Kardinia Park | 7,000 | 22 July 1944
row 6 : St Kilda | 12.16 (88) | Fitzroy | 8.14 (62) | Junction Oval | 14,000 | 22 July 1944 [/Table] Answer this question based on the above table: Which away team has a Home team score of 10.14 (74)?

Answer: South Melbourne
[Table] header: Year | Award | Category | Nominated work | Result row 1 : 2000 | The National Theater Association of Korea | Best New Actor | Yi | Won
row 2 : 2005 | 11th Korea Musical Awards | Most Popular Star | Hedwig and the Angry Inch | Won
row 3 : 2005 | 11th Korea Musical Awards | Best Actor | Hedwig and the Angry Inch | Won
row 4 : 2005 | MBC Drama Awards | Best New Actor | Shin Don | Nominated
row 5 : 2006 | 12th Korea Musical Awards | Most Popular Star | Finding Kim Jong-wook | Won
row 6 : 2006 | KBS Drama Awards | Best Couple Award with Yoon Eun-h | The Vineyard Man | Won
row 7 : 2006 | KBS Drama Awards | Popularity Award | The Vineyard Man | Won
row 8 : 2006 | KBS Drama Awards | Best New Actor | The Vineyard Man | Won
row 9 : 2007 | 1st The Musical Awards | Male Popularity Award | A Day | Won
row 10 : 2007 | 13th Korea Musical Awards | Most Popular Star | A Day | Won
row 11 : 2007 | SBS Drama Awards | Excellence Award, Actor in a Serial Drama | The King and I | Won
row 12 : 2009 | KBS Drama Awards | Excellence Award, Actor in a Daily Drama | Everybody Cha-cha-cha | Won [/Table] Answer this question based on the above table: For the category of most popular star with a result of won for 2007, what was the award?

Answer: 13th Korea Musical Awards
[Table] header: Year | Award | Category | Nominated work | Result row 1 : 2000 | The National Theater Association of Korea | Best New Actor | Yi | Won
row 2 : 2005 | 11th Korea Musical Awards | Most Popular Star | Hedwig and the Angry Inch | Won
row 3 : 2005 | 11th Korea Musical Awards | Best Actor | Hedwig and the Angry Inch | Won
row 4 : 2005 | MBC Drama Awards | Best New Actor | Shin Don | Nominated
row 5 : 2006 | 12th Korea Musical Awards | Most Popular Star | Finding Kim Jong-wook | Won
row 6 : 2006 | KBS Drama Awards | Best Couple Award with Yoon Eun-h | The Vineyard Man | Won
row 7 : 2006 | KBS Drama Awards | Popularity Award | The Vineyard Man | Won
row 8 : 2006 | KBS Drama Awards | Best New Actor | The Vineyard Man | Won
row 9 : 2007 | 1st The Musical Awards | Male Popularity Award | A Day | Won
row 10 : 2007 | 13th Korea Musical Awards | Most Popular Star | A Day | Won
row 11 : 2007 | SBS Drama Awards | Excellence Award, Actor in a Serial Drama | The King and I | Won
row 12 : 2009 | KBS Drama Awards | Excellence Award, Actor in a Daily Drama | Everybody Cha-cha-cha | Won [/Table] Answer this question based on the above table: What is the result for the king and I after 2006?

Answer: Won
[Table] header: Year | Main colour(s) | Additional colour(s) | Main sponsor(s) | Additional major sponsor(s) row 1 : 1988 | Red | Black, White | Marlboro | Viacom, Nikols
row 2 : 1989 | Red | Black, White | Marlboro , Lusfina | Agip , Nikols, Pir
row 3 : 1990 | Red | Black, White | Marlboro , Lucchini, | Agip , CartaSì,
row 4 : 1991 | Red | Black, White | Marlboro , Lucchini, | Agip , Ghial, OG
row 5 : 1992 | Red | Black, White, blue | Marlboro , Lucchini, | Agip , Ghidini, S
row 6 : 1993 | White | Black, Red, Yellow, Blue | Chesterfield , Lucchini, Bo | Agip , Fastar [/Table] Answer this question based on the above table: What is the main color(s) for marlboro?

Answer: Red
[Table] header: Year | Main colour(s) | Additional colour(s) | Main sponsor(s) | Additional major sponsor(s) row 1 : 1988 | Red | Black, White | Marlboro | Viacom, Nikols
row 2 : 1989 | Red | Black, White | Marlboro , Lusfina | Agip , Nikols, Pir
row 3 : 1990 | Red | Black, White | Marlboro , Lucchini, | Agip , CartaSì,
row 4 : 1991 | Red | Black, White | Marlboro , Lucchini, | Agip , Ghial, OG
row 5 : 1992 | Red | Black, White, blue | Marlboro , Lucchini, | Agip , Ghidini, S
row 6 : 1993 | White | Black, Red, Yellow, Blue | Chesterfield , Lucchini, Bo | Agip , Fastar [/Table] Answer this question based on the above table: What is the additional major sponsor(s) that has red as its main color after 1991?

Answer: Agip , Ghidini, S
[Table] header: Name | Birth | Monarch From | Monarch Until | Relationship with Predecessor(s) row 1 : Name | Birth | Monarch From | Monarch Until | Relationship with Predecessor(s)
row 2 : King George V | 3 June 1865 | 31 May 1910 | 20 January 1936 | None (position ceded)
row 3 : King Edward VIII | 23 June 1894 | 20 January 1936 | 11 December 1936 (Abdicated) | Son of George V
row 4 : King George VI | 14 December 1895 | 11 December 1936 | 6 February 1952 | Brother of Edward VIII
row 5 : Queen Elizabeth II | 21 April 1926 | 6 February 1952 | 31 May 1961 | Daughter of George VI [/Table] Answer this question based on the above table: Who was the brother of Edward VIII?

Answer: King George VI
[Table] header: Driver | Constructor | Laps | Time/Retired | Grid row 1 : Nelson Piquet | Williams - Honda | 44 | 1:21:25.091 | 4
row 2 : Stefan Johansson | McLaren - TAG | 44 | + 1:39.591 | 8
row 3 : Ayrton Senna | Lotus - Honda | 43 | + 1 Lap | 2
row 4 : Philippe Streiff | Tyrrell - Ford | 43 | + 1 Lap | 22
row 5 : Jonathan Palmer | Tyrrell - Ford | 43 | + 1 Lap | 23
row 6 : Philippe Alliot | Lola - Ford | 42 | + 2 Laps | 21
row 7 : Alain Prost | McLaren - TAG | 39 | Electrical | 3
row 8 : Martin Brundle | Zakspeed | 34 | Not Classified | 19
row 9 : Piercarlo Ghinzani | Ligier - Megatron | 32 | Engine | 17
row 10 : Adrián Campos | Minardi - Motori Moderni | 28 | Engine | 18
row 11 : Thierry Boutsen | Benetton - Ford | 26 | Engine | 6
row 12 : Nigel Mansell | Williams - Honda | 25 | Engine | 1
row 13 : Alessandro Nannini | Minardi - Motori Moderni | 25 | Engine | 16
row 14 : Derek Warwick | Arrows - Megatron | 23 | Turbo | 13
row 15 : Christian Danner | Zakspeed | 21 | Halfshaft | 20
row 16 : Gerhard Berger | Ferrari | 19 | Turbo | 10
row 17 : Teo Fabi | Benetton - Ford | 18 | Engine | 9
row 18 : Alex Caffi | Osella - Alfa Romeo | 17 | Engine | 26
row 19 : Andrea de Cesaris | Brabham - BMW | 12 | Engine | 7
row 20 : Michele Alboreto | Ferrari | 10 | Turbo | 5
row 21 : Pascal Fabre | AGS - Ford | 10 | Engine | 25
row 22 : Eddie Cheever | Arrows - Megatron | 9 | Throttle | 15
row 23 : Satoru Nakajima | Lotus - Honda | 9 | Turbo | 14
row 24 : Ivan Capelli | March - Ford | 7 | Engine | 24
row 25 : René Arnoux | Ligier - Megatron | 6 | Ignition | 12
row 26 : Riccardo Patrese | Brabham - BMW | 5 | Ignition | 11 [/Table] Answer this question based on the above table: How many laps are associated with a time of + 1:39.591?

Answer: 44.0
[Table] header: Driver | Constructor | Laps | Time/Retired | Grid row 1 : Nelson Piquet | Williams - Honda | 44 | 1:21:25.091 | 4
row 2 : Stefan Johansson | McLaren - TAG | 44 | + 1:39.591 | 8
row 3 : Ayrton Senna | Lotus - Honda | 43 | + 1 Lap | 2
row 4 : Philippe Streiff | Tyrrell - Ford | 43 | + 1 Lap | 22
row 5 : Jonathan Palmer | Tyrrell - Ford | 43 | + 1 Lap | 23
row 6 : Philippe Alliot | Lola - Ford | 42 | + 2 Laps | 21
row 7 : Alain Prost | McLaren - TAG | 39 | Electrical | 3
row 8 : Martin Brundle | Zakspeed | 34 | Not Classified | 19
row 9 : Piercarlo Ghinzani | Ligier - Megatron | 32 | Engine | 17
row 10 : Adrián Campos | Minardi - Motori Moderni | 28 | Engine | 18
row 11 : Thierry Boutsen | Benetton - Ford | 26 | Engine | 6
row 12 : Nigel Mansell | Williams - Honda | 25 | Engine | 1
row 13 : Alessandro Nannini | Minardi - Motori Moderni | 25 | Engine | 16
row 14 : Derek Warwick | Arrows - Megatron | 23 | Turbo | 13
row 15 : Christian Danner | Zakspeed | 21 | Halfshaft | 20
row 16 : Gerhard Berger | Ferrari | 19 | Turbo | 10
row 17 : Teo Fabi | Benetton - Ford | 18 | Engine | 9
row 18 : Alex Caffi | Osella - Alfa Romeo | 17 | Engine | 26
row 19 : Andrea de Cesaris | Brabham - BMW | 12 | Engine | 7
row 20 : Michele Alboreto | Ferrari | 10 | Turbo | 5
row 21 : Pascal Fabre | AGS - Ford | 10 | Engine | 25
row 22 : Eddie Cheever | Arrows - Megatron | 9 | Throttle | 15
row 23 : Satoru Nakajima | Lotus - Honda | 9 | Turbo | 14
row 24 : Ivan Capelli | March - Ford | 7 | Engine | 24
row 25 : René Arnoux | Ligier - Megatron | 6 | Ignition | 12
row 26 : Riccardo Patrese | Brabham - BMW | 5 | Ignition | 11 [/Table] Answer this question based on the above table: What is the average number of laps for a grid of 6?

Answer: 26.0
[Table] header: Data | Total gain | Percent gain | 2003 | 2000 | 1997 | 1994 | 1991 | 1988 | 1985 | 1982 | 1979 | 1976 | 1973 | 1970 | 1967 row 1 : 20th percentile | $3,982 | 28.4% | $17,984 | $19,142 | $17,601 | $16,484 | $16,580 | $17,006 | $16,306 | $15,548 | $16,457 | $15,615 | $15,844 | $15,126 | $14,002
row 2 : Median (50th) | $9,980 | 29.9% | $43,318 | $44,853 | $42,294 | $39,613 | $39,679 | $40,678 | $38,510 | $36,811 | $38,649 | $36,155 | $37,700 | $35,832 | $33,338
row 3 : 80th percentile | $31,602 | 57.2% | $86,867 | $87,341 | $81,719 | $77,154 | $74,759 | $75,593 | $71,433 | $66,920 | $68,318 | $63,247 | $64,500 | $60,148 | $55,265
row 4 : 95th percentile | $65,442 | 73.8% | $154,120 | $155,121 | $144,636 | $134,835 | $126,969 | $127,958 | $119,459 | $111,516 | $111,445 | $100,839 | $102,243 | $95,090 | $88,678
row 5 : SOURCE: U.S. Census Bureau | SOURCE: U.S. Census Bureau | SOURCE: U.S. Census Bureau | SOURCE: U.S. Census Bureau | SOURCE: U.S. Census Bureau | SOURCE: U.S. Census Bureau | SOURCE: U.S. Census Bureau | SOURCE: U.S. Census Bureau | SOURCE: U.S. Census Bureau | SOURCE: U.S. Census Bureau | SOURCE: U.S. Census Bureau | SOURCE: U.S. Census Bureau | SOURCE: U.S. Census Bureau | SOURCE: U.S. Census Bureau | SOURCE: U.S. Census Bureau | SOURCE: U.S. Census Bureau [/Table] Answer this question based on the above table: Name the data with a percent gain of 28.4%

Answer: 20th percentile
[Table] header: State | Interview | Swimsuit | Evening Gown | Average row 1 : Michigan | 9.261 | 9.364 | 9.489 | 9.371
row 2 : New Jersey | 9.344 | 9.206 | 9.414 | 9.321
row 3 : Alaska | 9.111 | 9.322 | 9.218 | 9.217
row 4 : Kentucky | 8.981 | 9.100 | 9.289 | 9.123
row 5 : South Carolina | 8.848 | 9.139 | 9.259 | 9.082
row 6 : Georgia | 8.683 | 9.325 | 9.100 | 9.036
row 7 : District of Columbia | 8.577 | 9.078 | 9.157 | 8.937
row 8 : Tennessee | 8.739 | 8.903 | 9.023 | 8.888
row 9 : Texas | 8.922 | 8.839 | 8.869 | 8.876
row 10 : Illinois | 8.622 | 8.772 | 9.176 | 8.856
row 11 : Mississippi | 8.574 | 8.694 | 8.792 | 8.686
row 12 : Ohio | 8.481 | 8.370 | 8.746 | 8.532 [/Table] Answer this question based on the above table: Which smallest swimsuit number's interview was less than 8.574 when the average number was bigger than 8.532?

Answer: none
[Table] header: State | Interview | Swimsuit | Evening Gown | Average row 1 : Michigan | 9.261 | 9.364 | 9.489 | 9.371
row 2 : New Jersey | 9.344 | 9.206 | 9.414 | 9.321
row 3 : Alaska | 9.111 | 9.322 | 9.218 | 9.217
row 4 : Kentucky | 8.981 | 9.100 | 9.289 | 9.123
row 5 : South Carolina | 8.848 | 9.139 | 9.259 | 9.082
row 6 : Georgia | 8.683 | 9.325 | 9.100 | 9.036
row 7 : District of Columbia | 8.577 | 9.078 | 9.157 | 8.937
row 8 : Tennessee | 8.739 | 8.903 | 9.023 | 8.888
row 9 : Texas | 8.922 | 8.839 | 8.869 | 8.876
row 10 : Illinois | 8.622 | 8.772 | 9.176 | 8.856
row 11 : Mississippi | 8.574 | 8.694 | 8.792 | 8.686
row 12 : Ohio | 8.481 | 8.370 | 8.746 | 8.532 [/Table] Answer this question based on the above table: Which smallest interview number had a swimsuit stat of less than 9.322, an evening gown score of more than 9.259, and an average number of 9.321?

Answer: 9.344
[Table] header: State | Interview | Swimsuit | Evening Gown | Average row 1 : Michigan | 9.261 | 9.364 | 9.489 | 9.371
row 2 : New Jersey | 9.344 | 9.206 | 9.414 | 9.321
row 3 : Alaska | 9.111 | 9.322 | 9.218 | 9.217
row 4 : Kentucky | 8.981 | 9.100 | 9.289 | 9.123
row 5 : South Carolina | 8.848 | 9.139 | 9.259 | 9.082
row 6 : Georgia | 8.683 | 9.325 | 9.100 | 9.036
row 7 : District of Columbia | 8.577 | 9.078 | 9.157 | 8.937
row 8 : Tennessee | 8.739 | 8.903 | 9.023 | 8.888
row 9 : Texas | 8.922 | 8.839 | 8.869 | 8.876
row 10 : Illinois | 8.622 | 8.772 | 9.176 | 8.856
row 11 : Mississippi | 8.574 | 8.694 | 8.792 | 8.686
row 12 : Ohio | 8.481 | 8.370 | 8.746 | 8.532 [/Table] Answer this question based on the above table: What is the highest mean number for Texas when the swimsuit stat was more than 8.839?

Answer: none
[Table] header: State | Interview | Swimsuit | Evening Gown | Average row 1 : Michigan | 9.261 | 9.364 | 9.489 | 9.371
row 2 : New Jersey | 9.344 | 9.206 | 9.414 | 9.321
row 3 : Alaska | 9.111 | 9.322 | 9.218 | 9.217
row 4 : Kentucky | 8.981 | 9.100 | 9.289 | 9.123
row 5 : South Carolina | 8.848 | 9.139 | 9.259 | 9.082
row 6 : Georgia | 8.683 | 9.325 | 9.100 | 9.036
row 7 : District of Columbia | 8.577 | 9.078 | 9.157 | 8.937
row 8 : Tennessee | 8.739 | 8.903 | 9.023 | 8.888
row 9 : Texas | 8.922 | 8.839 | 8.869 | 8.876
row 10 : Illinois | 8.622 | 8.772 | 9.176 | 8.856
row 11 : Mississippi | 8.574 | 8.694 | 8.792 | 8.686
row 12 : Ohio | 8.481 | 8.370 | 8.746 | 8.532 [/Table] Answer this question based on the above table: What is the mean evening gown number when the average is 8.686?

Answer: 8.792
[Table] header: State | Interview | Swimsuit | Evening Gown | Average row 1 : Michigan | 9.261 | 9.364 | 9.489 | 9.371
row 2 : New Jersey | 9.344 | 9.206 | 9.414 | 9.321
row 3 : Alaska | 9.111 | 9.322 | 9.218 | 9.217
row 4 : Kentucky | 8.981 | 9.100 | 9.289 | 9.123
row 5 : South Carolina | 8.848 | 9.139 | 9.259 | 9.082
row 6 : Georgia | 8.683 | 9.325 | 9.100 | 9.036
row 7 : District of Columbia | 8.577 | 9.078 | 9.157 | 8.937
row 8 : Tennessee | 8.739 | 8.903 | 9.023 | 8.888
row 9 : Texas | 8.922 | 8.839 | 8.869 | 8.876
row 10 : Illinois | 8.622 | 8.772 | 9.176 | 8.856
row 11 : Mississippi | 8.574 | 8.694 | 8.792 | 8.686
row 12 : Ohio | 8.481 | 8.370 | 8.746 | 8.532 [/Table] Answer this question based on the above table: What is the sum number of evening gown stats for New Jersey when the interview was less than 9.344?

Answer: 0.0
[Table] header: Year | Chassis | Engine(s) | Tyres | Points row 1 : 1987 | Lola LC87 | Ford DFZ V8 | G | 3
row 2 : 1988 | Lola LC88 | Ford DFZ V8 | G | 0
row 3 : 1989 | Lola LC88B Lola LC | Lamborghini 3512 V12 | G | 1
row 4 : 1990 | Lola LC89B Lola LC | Lamborghini 3512 V12 | G | 11
row 5 : 1991 | Lola LC91 | Ford DFR V8 | G | 2
row 6 : 1992 | Venturi LC92 | Lamborghini 3512 V12 | G | 1
row 7 : 1993 | Larrousse LH93 | Lamborghini 3512 V12 | G | 3
row 8 : 1994 | Larrousse LH94 | Ford HB V8 | G | 2 [/Table] Answer this question based on the above table: What engine was made in 1991?

Answer: Ford DFR V8
[Table] header: Year | Chassis | Engine(s) | Tyres | Points row 1 : 1987 | Lola LC87 | Ford DFZ V8 | G | 3
row 2 : 1988 | Lola LC88 | Ford DFZ V8 | G | 0
row 3 : 1989 | Lola LC88B Lola LC | Lamborghini 3512 V12 | G | 1
row 4 : 1990 | Lola LC89B Lola LC | Lamborghini 3512 V12 | G | 11
row 5 : 1991 | Lola LC91 | Ford DFR V8 | G | 2
row 6 : 1992 | Venturi LC92 | Lamborghini 3512 V12 | G | 1
row 7 : 1993 | Larrousse LH93 | Lamborghini 3512 V12 | G | 3
row 8 : 1994 | Larrousse LH94 | Ford HB V8 | G | 2 [/Table] Answer this question based on the above table: What engines have the year 1992?

Answer: Lamborghini 3512 V12
[Table] header: Year | Chassis | Engine(s) | Tyres | Points row 1 : 1987 | Lola LC87 | Ford DFZ V8 | G | 3
row 2 : 1988 | Lola LC88 | Ford DFZ V8 | G | 0
row 3 : 1989 | Lola LC88B Lola LC | Lamborghini 3512 V12 | G | 1
row 4 : 1990 | Lola LC89B Lola LC | Lamborghini 3512 V12 | G | 11
row 5 : 1991 | Lola LC91 | Ford DFR V8 | G | 2
row 6 : 1992 | Venturi LC92 | Lamborghini 3512 V12 | G | 1
row 7 : 1993 | Larrousse LH93 | Lamborghini 3512 V12 | G | 3
row 8 : 1994 | Larrousse LH94 | Ford HB V8 | G | 2 [/Table] Answer this question based on the above table: What chassis has the year 1987?

Answer: Lola LC87
[Table] header: Year | Chassis | Engine(s) | Tyres | Points row 1 : 1987 | Lola LC87 | Ford DFZ V8 | G | 3
row 2 : 1988 | Lola LC88 | Ford DFZ V8 | G | 0
row 3 : 1989 | Lola LC88B Lola LC | Lamborghini 3512 V12 | G | 1
row 4 : 1990 | Lola LC89B Lola LC | Lamborghini 3512 V12 | G | 11
row 5 : 1991 | Lola LC91 | Ford DFR V8 | G | 2
row 6 : 1992 | Venturi LC92 | Lamborghini 3512 V12 | G | 1
row 7 : 1993 | Larrousse LH93 | Lamborghini 3512 V12 | G | 3
row 8 : 1994 | Larrousse LH94 | Ford HB V8 | G | 2 [/Table] Answer this question based on the above table: What is the average points for the chassis LOLA LC88?

Answer: 0.0
[Table] header: Game | Date | Score | Location | Time | Attendance row 1 : 1 | October 11 | Philadelphia Phillies – 2, Baltimore Oriole | Memorial Stadium | 2:22 | 52,204
row 2 : 2 | October 12 | Philadelphia Phillies – 1, Baltimore Oriole | Memorial Stadium | 2:27 | 52,132
row 3 : 3 | October 14 | Baltimore Orioles – 3, Philadelphia Phil | Veterans Stadium | 2:35 | 65,792
row 4 : 4 | October 15 | Baltimore Orioles – 5, Philadelphia Phil | Veterans Stadium | 2:50 | 66,947
row 5 : 5 | October 16 | Baltimore Orioles – 5, Philadelphia Phil | Veterans Stadium | 2:21 | 67,064 [/Table] Answer this question based on the above table: what is the attendance when the location is veterans stadium, the game is more than 3 and the time is 2:21?

Answer: 67064.0
[Table] header: Game | Date | Score | Location | Time | Attendance row 1 : 1 | October 11 | Philadelphia Phillies – 2, Baltimore Oriole | Memorial Stadium | 2:22 | 52,204
row 2 : 2 | October 12 | Philadelphia Phillies – 1, Baltimore Oriole | Memorial Stadium | 2:27 | 52,132
row 3 : 3 | October 14 | Baltimore Orioles – 3, Philadelphia Phil | Veterans Stadium | 2:35 | 65,792
row 4 : 4 | October 15 | Baltimore Orioles – 5, Philadelphia Phil | Veterans Stadium | 2:50 | 66,947
row 5 : 5 | October 16 | Baltimore Orioles – 5, Philadelphia Phil | Veterans Stadium | 2:21 | 67,064 [/Table] Answer this question based on the above table: what is the score when the time is 2:22?

Answer: Philadelphia Phillies – 2, Baltimore Oriole
[Table] header: Game | Date | Score | Location | Time | Attendance row 1 : 1 | October 11 | Philadelphia Phillies – 2, Baltimore Oriole | Memorial Stadium | 2:22 | 52,204
row 2 : 2 | October 12 | Philadelphia Phillies – 1, Baltimore Oriole | Memorial Stadium | 2:27 | 52,132
row 3 : 3 | October 14 | Baltimore Orioles – 3, Philadelphia Phil | Veterans Stadium | 2:35 | 65,792
row 4 : 4 | October 15 | Baltimore Orioles – 5, Philadelphia Phil | Veterans Stadium | 2:50 | 66,947
row 5 : 5 | October 16 | Baltimore Orioles – 5, Philadelphia Phil | Veterans Stadium | 2:21 | 67,064 [/Table] Answer this question based on the above table: how many games have a location of memorial stadium and a time of 2:27?

Answer: 1.0
[Table] header: Game | Date | Score | Location | Time | Attendance row 1 : 1 | October 11 | Philadelphia Phillies – 2, Baltimore Oriole | Memorial Stadium | 2:22 | 52,204
row 2 : 2 | October 12 | Philadelphia Phillies – 1, Baltimore Oriole | Memorial Stadium | 2:27 | 52,132
row 3 : 3 | October 14 | Baltimore Orioles – 3, Philadelphia Phil | Veterans Stadium | 2:35 | 65,792
row 4 : 4 | October 15 | Baltimore Orioles – 5, Philadelphia Phil | Veterans Stadium | 2:50 | 66,947
row 5 : 5 | October 16 | Baltimore Orioles – 5, Philadelphia Phil | Veterans Stadium | 2:21 | 67,064 [/Table] Answer this question based on the above table: what is the attendance on the date of october 16 and the game is more than 5?

Answer: none
[Table] header: Date | Opponent | Score | Loss | Attendance | Record row 1 : May 1 | @ Indians | 7 - 5 | Springer (1-4) | 42,712 | 12-15
row 2 : May 2 | @ Indians | 5 - 1 | Saunders (1-3) | 42,525 | 12-16
row 3 : May 3 | @ Indians | 10 - 8 | Hernández (0-2) | 42,597 | 12-17
row 4 : May 5 | @ Royals | 4 - 2 | Álvarez (3-4) | 12,096 | 12-18
row 5 : May 6 | @ Royals | 5 - 0 | Rusch (3-4) | 11,401 | 13-18
row 6 : May 8 | Orioles | 8 - 2 | Lopez (0-1) | 35,355 | 13-19
row 7 : May 9 | Orioles | 7 - 0 | Springer (1-5) | 42,486 | 13-20
row 8 : May 10 | Orioles | 4 - 3 | Mills (0-1) | 34,123 | 14-20
row 9 : May 11 | Indians | 4 - 2 | Burba (3-4) | 30,334 | 15-20
row 10 : May 12 | Indians | 6 - 5 (15) | Jackson (0-1) | 30,194 | 16-20
row 11 : May 13 | Royals | 4 - 0 | Saunders (1-4) | 25,244 | 16-21
row 12 : May 14 | Royals | 10 - 2 | Springer (1-6) | 24,296 | 16-22
row 13 : May 15 | @ Orioles | 4 - 1 | Erickson (4-2) | 47,421 | 17-22
row 14 : May 16 | @ Orioles | 5 - 2 | Belcher (2-5) | 47,538 | 18-22
row 15 : May 17 | @ Orioles | 7 - 3 | Mills (0-2) | 47,628 | 19-22
row 16 : May 18 | @ Orioles | 6 - 3 | Drabek (3-5) | 45,033 | 20-22
row 17 : May 19 | @ Blue Jays | 3 - 1 | Springer (1-7) | 25,662 | 20-23
row 18 : May 20 | @ Blue Jays | 9 - 1 | Álvarez (4-5) | 26,107 | 20-24
row 19 : May 21 | @ Blue Jays | 6 - 1 | Arrojo (6-3) | 30,108 | 20-25
row 20 : May 22 | @ Mariners | 5 - 2 | Moyer (2-5) | 29,522 | 21-25
row 21 : May 23 | @ Mariners | 6 - 3 | Ayala (0-4) | 35,819 | 22-25
row 22 : May 24 | @ Mariners | 3 - 1 | Springer (1-8) | 46,867 | 22-26
row 23 : May 25 | @ Athletics | 8 - 2 | Ruebel (0-1) | 13,199 | 22-27
row 24 : May 26 | @ Athletics | 7 - 2 | Candiotti (4-5) | 9,801 | 23-27
row 25 : May 28 | Mariners | 5 - 2 | Johnson (2-2) | 27,017 | 23-28
row 26 : May 29 | Mariners | 6 - 2 | Saunders (1-5) | 32,142 | 23-29
row 27 : May 30 | Mariners | 5 - 2 | Cloude (3-3) | 40,212 | 24-29
row 28 : May 31 | Mariners | 11 - 6 | White (0-1) | 35,184 | 24-30 [/Table] Answer this question based on the above table: What was the lowest attendance for a score of  5 - 0?

Answer: 11401.0
[Table] header: Date | Opponent | Score | Loss | Attendance | Record row 1 : May 1 | @ Indians | 7 - 5 | Springer (1-4) | 42,712 | 12-15
row 2 : May 2 | @ Indians | 5 - 1 | Saunders (1-3) | 42,525 | 12-16
row 3 : May 3 | @ Indians | 10 - 8 | Hernández (0-2) | 42,597 | 12-17
row 4 : May 5 | @ Royals | 4 - 2 | Álvarez (3-4) | 12,096 | 12-18
row 5 : May 6 | @ Royals | 5 - 0 | Rusch (3-4) | 11,401 | 13-18
row 6 : May 8 | Orioles | 8 - 2 | Lopez (0-1) | 35,355 | 13-19
row 7 : May 9 | Orioles | 7 - 0 | Springer (1-5) | 42,486 | 13-20
row 8 : May 10 | Orioles | 4 - 3 | Mills (0-1) | 34,123 | 14-20
row 9 : May 11 | Indians | 4 - 2 | Burba (3-4) | 30,334 | 15-20
row 10 : May 12 | Indians | 6 - 5 (15) | Jackson (0-1) | 30,194 | 16-20
row 11 : May 13 | Royals | 4 - 0 | Saunders (1-4) | 25,244 | 16-21
row 12 : May 14 | Royals | 10 - 2 | Springer (1-6) | 24,296 | 16-22
row 13 : May 15 | @ Orioles | 4 - 1 | Erickson (4-2) | 47,421 | 17-22
row 14 : May 16 | @ Orioles | 5 - 2 | Belcher (2-5) | 47,538 | 18-22
row 15 : May 17 | @ Orioles | 7 - 3 | Mills (0-2) | 47,628 | 19-22
row 16 : May 18 | @ Orioles | 6 - 3 | Drabek (3-5) | 45,033 | 20-22
row 17 : May 19 | @ Blue Jays | 3 - 1 | Springer (1-7) | 25,662 | 20-23
row 18 : May 20 | @ Blue Jays | 9 - 1 | Álvarez (4-5) | 26,107 | 20-24
row 19 : May 21 | @ Blue Jays | 6 - 1 | Arrojo (6-3) | 30,108 | 20-25
row 20 : May 22 | @ Mariners | 5 - 2 | Moyer (2-5) | 29,522 | 21-25
row 21 : May 23 | @ Mariners | 6 - 3 | Ayala (0-4) | 35,819 | 22-25
row 22 : May 24 | @ Mariners | 3 - 1 | Springer (1-8) | 46,867 | 22-26
row 23 : May 25 | @ Athletics | 8 - 2 | Ruebel (0-1) | 13,199 | 22-27
row 24 : May 26 | @ Athletics | 7 - 2 | Candiotti (4-5) | 9,801 | 23-27
row 25 : May 28 | Mariners | 5 - 2 | Johnson (2-2) | 27,017 | 23-28
row 26 : May 29 | Mariners | 6 - 2 | Saunders (1-5) | 32,142 | 23-29
row 27 : May 30 | Mariners | 5 - 2 | Cloude (3-3) | 40,212 | 24-29
row 28 : May 31 | Mariners | 11 - 6 | White (0-1) | 35,184 | 24-30 [/Table] Answer this question based on the above table: On what date was the record 21-25?

Answer: May 22
[Table] header: Home team | Home team score | Away team | Away team score | Venue | Crowd | Date row 1 : St Kilda | 13.16 (94) | South Melbourne | 8.5 (53) | Junction Oval | 26,400 | 25 May 1963
row 2 : Melbourne | 20.15 (135) | Richmond | 7.14 (56) | MCG | 33,914 | 25 May 1963
row 3 : Hawthorn | 11.17 (83) | North Melbourne | 9.7 (61) | Glenferrie Oval | 14,387 | 25 May 1963
row 4 : Essendon | 13.16 (94) | Footscray | 6.18 (54) | Windy Hill | 27,455 | 25 May 1963
row 5 : Carlton | 7.16 (58) | Geelong | 7.22 (64) | Princes Park | 47,514 | 25 May 1963
row 6 : Fitzroy | 9.5 (59) | Collingwood | 12.14 (86) | Brunswick Street Oval | 23,930 | 25 May 1963 [/Table] Answer this question based on the above table: What is the away team score at princes park with a Crowd larger than 27,455?

Answer: 7.22 (64)
[Table] header: Driver | Constructor | Laps | Time/Retired | Grid row 1 : Emerson Fittipaldi | Lotus - Ford | 40 | 1:43:55.6 | 2
row 2 : Jackie Stewart | Tyrrell - Ford | 40 | + 13.5 | 8
row 3 : Denny Hulme | McLaren - Ford | 40 | + 1:46.4 | 5
row 4 : Arturo Merzario | Ferrari | 39 | + 1 Lap | 17
row 5 : Jacky Ickx | Ferrari | 39 | + 1 Lap | 3
row 6 : Clay Regazzoni | BRM | 39 | + 1 Lap | 4
row 7 : Howden Ganley | Iso Marlboro - Ford | 39 | + 1 Lap | 14
row 8 : Niki Lauda | BRM | 38 | + 2 Laps | 13
row 9 : Nanni Galli | Iso Marlboro - Ford | 38 | + 2 Laps | 18
row 10 : François Cevert | Tyrrell - Ford | 38 | + 2 Laps | 9
row 11 : Carlos Reutemann | Brabham - Ford | 38 | + 2 Laps | 7
row 12 : Luiz Bueno | Surtees - Ford | 36 | + 4 Laps | 20
row 13 : Jean-Pierre Beltoise | BRM | 23 | Electrical | 10
row 14 : Mike Beuttler | March - Ford | 18 | Overheating | 19
row 15 : Carlos Pace | Surtees - Ford | 9 | Suspension | 6
row 16 : Mike Hailwood | Surtees - Ford | 6 | Gearbox | 14
row 17 : Jean-Pierre Jarier | March - Ford | 6 | Gearbox | 15
row 18 : Ronnie Peterson | Lotus - Ford | 5 | Wheel | 1
row 19 : Wilson Fittipaldi | Brabham - Ford | 5 | Overheating | 11
row 20 : Peter Revson | McLaren - Ford | 3 | Gearbox | 12 [/Table] Answer this question based on the above table: I want the total number of Laps for time/retired for + 4 Laps and grid more than 20

Answer: 0.0
[Table] header: Driver | Constructor | Laps | Time/Retired | Grid row 1 : Emerson Fittipaldi | Lotus - Ford | 40 | 1:43:55.6 | 2
row 2 : Jackie Stewart | Tyrrell - Ford | 40 | + 13.5 | 8
row 3 : Denny Hulme | McLaren - Ford | 40 | + 1:46.4 | 5
row 4 : Arturo Merzario | Ferrari | 39 | + 1 Lap | 17
row 5 : Jacky Ickx | Ferrari | 39 | + 1 Lap | 3
row 6 : Clay Regazzoni | BRM | 39 | + 1 Lap | 4
row 7 : Howden Ganley | Iso Marlboro - Ford | 39 | + 1 Lap | 14
row 8 : Niki Lauda | BRM | 38 | + 2 Laps | 13
row 9 : Nanni Galli | Iso Marlboro - Ford | 38 | + 2 Laps | 18
row 10 : François Cevert | Tyrrell - Ford | 38 | + 2 Laps | 9
row 11 : Carlos Reutemann | Brabham - Ford | 38 | + 2 Laps | 7
row 12 : Luiz Bueno | Surtees - Ford | 36 | + 4 Laps | 20
row 13 : Jean-Pierre Beltoise | BRM | 23 | Electrical | 10
row 14 : Mike Beuttler | March - Ford | 18 | Overheating | 19
row 15 : Carlos Pace | Surtees - Ford | 9 | Suspension | 6
row 16 : Mike Hailwood | Surtees - Ford | 6 | Gearbox | 14
row 17 : Jean-Pierre Jarier | March - Ford | 6 | Gearbox | 15
row 18 : Ronnie Peterson | Lotus - Ford | 5 | Wheel | 1
row 19 : Wilson Fittipaldi | Brabham - Ford | 5 | Overheating | 11
row 20 : Peter Revson | McLaren - Ford | 3 | Gearbox | 12 [/Table] Answer this question based on the above table: I want the average Laps for grid of 9

Answer: 38.0
[Table] header: Name | Builder | Type | Date | Works number row 1 : Snowdon Ranger | Vulcan Foundry | 0-6-4T | 1875 | 739
row 2 : Moel Tryfan | Vulcan Foundry | 0-6-4T | 1875 | 738
row 3 : Beddgelert | Hunslet | 0-6-4ST | 1878 | 206
row 4 : Russell | Hunslet | 2-6-2T | 1906 | 901
row 5 : Gowrie | Hunslet | 0-6-4T | 1908 | 979 [/Table] Answer this question based on the above table: What is the total works number of the locomotive with 0-6-4t type after 1875?

Answer: 979.0
[Table] header: Name | Builder | Type | Date | Works number row 1 : Snowdon Ranger | Vulcan Foundry | 0-6-4T | 1875 | 739
row 2 : Moel Tryfan | Vulcan Foundry | 0-6-4T | 1875 | 738
row 3 : Beddgelert | Hunslet | 0-6-4ST | 1878 | 206
row 4 : Russell | Hunslet | 2-6-2T | 1906 | 901
row 5 : Gowrie | Hunslet | 0-6-4T | 1908 | 979 [/Table] Answer this question based on the above table: What is the total work number of Gowrie after 1875?

Answer: 979.0
[Table] header: Name | Builder | Type | Date | Works number row 1 : Snowdon Ranger | Vulcan Foundry | 0-6-4T | 1875 | 739
row 2 : Moel Tryfan | Vulcan Foundry | 0-6-4T | 1875 | 738
row 3 : Beddgelert | Hunslet | 0-6-4ST | 1878 | 206
row 4 : Russell | Hunslet | 2-6-2T | 1906 | 901
row 5 : Gowrie | Hunslet | 0-6-4T | 1908 | 979 [/Table] Answer this question based on the above table: What is the average work number of Snowdon Ranger with the builder Vulcan Foundry?

Answer: 739.0
[Table] header: Name | Builder | Type | Date | Works number row 1 : Snowdon Ranger | Vulcan Foundry | 0-6-4T | 1875 | 739
row 2 : Moel Tryfan | Vulcan Foundry | 0-6-4T | 1875 | 738
row 3 : Beddgelert | Hunslet | 0-6-4ST | 1878 | 206
row 4 : Russell | Hunslet | 2-6-2T | 1906 | 901
row 5 : Gowrie | Hunslet | 0-6-4T | 1908 | 979 [/Table] Answer this question based on the above table: What is the total work number of Gowrie with a 0-6-4t type after 1908?

Answer: 0.0
[Table] header: Date | Score | Set 1 | Set 2 | Set 3 | Total row 1 : 12 Oct | 3–0 | 15–2 | 15–2 | 15–10 | 45–14
row 2 : 13 Oct | 3–0 | 15–2 | 15–5 | 15–6 | 45–13
row 3 : 14 Oct | 3–1 | 15–8 | 13–15 | 15–6 | 58–36
row 4 : 14 Oct | 3–0 | 15–5 | 15–7 | 15–4 | 45–16
row 5 : 15 Oct | 3–2 | 7–15 | 10–15 | 15–2 | 62–41
row 6 : 15 Oct | 3–1 | 9–15 | 15–3 | 15–4 | 54–30 [/Table] Answer this question based on the above table: What was the Set 1 game score when Set 3 game score was 15–4, and a Set 2 game score was 15–7?

Answer: 15–5
[Table] header: Name | Bodyweight | Snatch | Clean & jerk | Total (kg) row 1 : Tara Nott ( USA ) | 47.95 | 77.5 | 100.0 | 177.5
row 2 : Leddy Zuluaga ( COL  | 45.60 | 67.5 | 85.0 | 152.5
row 3 : Guillermina Candelario ( DOM | 46.26 | 65.0 | 80.0 | 145.0
row 4 : Elohim Gracía ( MEX | 47.59 | 60.0 | 75.0 | 135.0
row 5 : Olvina Gómez ( GUA | 47.53 | 55.0 | 75.0 | 130.0
row 6 : Indira Berrios ( HON ) | 45.30 | 55.0 | 70.0 | 125.0
row 7 : Remigia Arcila ( VEN | 47.29 | 70.0 | 95.0 | –
row 8 : Wendy Santana ( DOM ) | 47.20 | 67.5 | 87.5 | – [/Table] Answer this question based on the above table: What lowest Bodyweight has a Snatch smaller than 55?

Answer: none
[Table] header: Name | Bodyweight | Snatch | Clean & jerk | Total (kg) row 1 : Tara Nott ( USA ) | 47.95 | 77.5 | 100.0 | 177.5
row 2 : Leddy Zuluaga ( COL  | 45.60 | 67.5 | 85.0 | 152.5
row 3 : Guillermina Candelario ( DOM | 46.26 | 65.0 | 80.0 | 145.0
row 4 : Elohim Gracía ( MEX | 47.59 | 60.0 | 75.0 | 135.0
row 5 : Olvina Gómez ( GUA | 47.53 | 55.0 | 75.0 | 130.0
row 6 : Indira Berrios ( HON ) | 45.30 | 55.0 | 70.0 | 125.0
row 7 : Remigia Arcila ( VEN | 47.29 | 70.0 | 95.0 | –
row 8 : Wendy Santana ( DOM ) | 47.20 | 67.5 | 87.5 | – [/Table] Answer this question based on the above table: Which bodyweight has a Total (kg) of 145.0?

Answer: 46.26