sail/symbolic-instruction-tuning huggingface dataset:
[Table] header: Week | Date | Opponent | Result | Attendance row 1 : 1 | Bye | Bye | Bye | Bye
row 2 : 2 | September 18, 1966 | New York Giants | W 52–7 | 60,010
row 3 : 3 | September 25, 1966 | Minnesota Vikings | W 28–17 | 64,116
row 4 : 4 | October 2, 1966 | at Atlanta Falcons | W 47–14 | 56,990
row 5 : 5 | October 9, 1966 | Philadelphia Eagles | W 56–7 | 69,372
row 6 : 6 | October 16, 1966 | at St. Louis Cardinals | T 10–10 | 50,673
row 7 : 7 | October 23, 1966 | at Cleveland Browns | L 30–21 | 84,721
row 8 : 8 | October 30, 1966 | Pittsburgh Steelers | W 52–21 | 58,453
row 9 : 9 | November 6, 1966 | at Philadelphia Eagles | L 24–23 | 60,658
row 10 : 10 | November 13, 1966 | at Washington Redskins | W 31–30 | 50,927
row 11 : 11 | November 20, 1966 | at Pittsburgh Steelers | W 20–7 | 42,185
row 12 : 12 | November 24, 1966 | Cleveland Browns | W 26–14 | 80,259
row 13 : 13 | December 4, 1966 | St. Louis Cardinals | W 31–17 | 76,965
row 14 : 14 | December 11, 1966 | Washington Redskins | L 34–31 | 64,198
row 15 : 15 | December 18, 1966 | at New York Giants | W 17–7 | 62,735 [/Table] Answer this question based on the above table: What is the date of the game played after week 4 with 60,658 people in attendance?

Answer: November 6, 1966
[Table] header: Club | City | Stadium | 2006–07 result | Capacity row 1 : Belišće | Belišće | Gradski stadion | 7th in 2. HNL | 3,000
row 2 : Croatia Sesvete | Zagreb | Stadion ŠRC Sesvete | 3rd in 2. HNL | 3,500
row 3 : Hrvatski Dragovoljac | Zagreb | NŠC Stjepan Spajić | 4th in 2. HNL | 5,000
row 4 : Imotski | Imotski | Gospin dolac | 6th in 2. HNL | 4,000
row 5 : Istra 1961 | Pula | Veruda | 11th in 1. HNL | 3,500
row 6 : Kamen Ingrad | Velika | Stadion Kamen Ingrad | 12th in 1. HNL | 8,000
row 7 : Marsonia | Slavonski Brod | Gradski stadion uz Sa | 12th in 2. HNL | 10,000
row 8 : Moslavina | Kutina | Gradski stadion u Kut | 13th in 2. HNL | 2,000
row 9 : Mosor | Žrnovnica | Pricviće | 11th in 2. HNL | 2,000
row 10 : Pomorac | Kostrena | Žuknica | 8th in 2. HNL | 3,000
row 11 : Segesta | Sisak | Gradski stadion Sisak | 2nd in 3. HNL West | 8,000
row 12 : Slavonac CO | Stari Perkovci | Igralište Slavon | 1st in 3. HNL East | 1,000
row 13 : Solin | Solin | Stadion pokraj Jadra | 5th in 2. HNL | 4,000
row 14 : Trogir | Trogir | Poljud | 1st in 3. HNL South | 35,000
row 15 : Vinogradar | Jastrebarsko | Stadion Mladina | 1st in 3. HNL West | 2,000
row 16 : Vukovar '91 | Vukovar | Gradski stadion u Borov | 9th in 2. HNL | 6,000 [/Table] Answer this question based on the above table: What is the total capacity for the city of Trogir?

Answer: 35000.0
[Table] header: Province | Inhabitants | established | President | Party | Election row 1 : Milan | 3,156,694 | 1754 | Guido Podestà | The People of Freedom | 2009
row 2 : Brescia | 1,256,025 | 1797 | Daniele Molgora | Lega Lombarda | 2009
row 3 : Bergamo | 1,098,740 | 1797 | Ettore Pirovano | Lega Lombarda | 2009
row 4 : Varese | 883,285 | 1927 | Dario Galli , commissioner | Lega Lombarda | 2007
row 5 : Monza and Brianza | 849,636 | 2009 | Dario Allevi | The People of Freedom | 2009
row 6 : Como | 598,988 | 1786 | Leonardo Carioni , commissioner | Lega Lombarda | 2007
row 7 : Pavia | 548,307 | 1786 | Daniele Bosone | Democratic Party | 2011
row 8 : Mantua | 415,442 | 1797 | Alessandro Pastacci | Democratic Party | 2011
row 9 : Cremona | 363,606 | 1786 | Massimiliano Salini | The People of Freedom | 2009
row 10 : Lecco | 340,167 | 1995 | Daniele Nava | The People of Freedom | 2009
row 11 : Lodi | 227,665 | 1995 | Pietro Foroni | Lega Lombarda | 2009
row 12 : Sondrio | 183,169 | 1797 | Massimo Sertori | Lega Lombarda | 2009 [/Table] Answer this question based on the above table: What party established in 1797 won an election in 2007?

Answer: Lega Lombarda
[Table] header: Date | Round | Opponents | H / A | Result F – A | Attendance row 1 : 22 September 1993 | Round 2 First leg | Stoke City | A | 1 – 2 | 23,327
row 2 : 6 October 1993 | Round 2 Second leg | Stoke City | H | 2 – 0 | 41,387
row 3 : 27 October 1993 | Round 3 | Leicester City | H | 5 – 1 | 41,344
row 4 : 30 November 1993 | Round 4 | Everton | A | 2 – 0 | 34,052
row 5 : 12 January 1994 | Round 5 | Portsmouth | H | 2 – 2 | 43,794
row 6 : 26 January 1994 | Round 5 Replay | Portsmouth | A | 1 – 0 | 24,950
row 7 : 13 February 1994 | Semi-final First leg | Sheffield Wednesday | H | 1 – 0 | 43,294
row 8 : 2 March 1994 | Semi-final Second leg | Sheffield Wednesday | A | 4 – 1 | 43,794
row 9 : 27 March 1994 | Final | Aston Villa | N | 1 – 3 | 77,231 [/Table] Answer this question based on the above table: What date has a H/A of A, more than 23,327 in attendance, and opponents of everton?

Answer: 30 November 1993
[Table] header: Played | Drawn | Lost | Against | % Won row 1 : 2 | 0 | 0 | 29 | 100
row 2 : 5 | 0 | 2 | 80 | 60
row 3 : 1 | 0 | 0 | 24 | 100
row 4 : 5 | 0 | 2 | 64 | 60
row 5 : 2 | 0 | 0 | 16 | 100
row 6 : 3 | 0 | 0 | 33 | 100
row 7 : 1 | 0 | 0 | 7 | 100
row 8 : 3 | 0 | 3 | 93 | 0
row 9 : 1 | 0 | 0 | 3 | 100
row 10 : 3 | 0 | 0 | 66 | 100
row 11 : 2 | 0 | 0 | 18 | 100
row 12 : 4 | 0 | 3 | 95 | 25
row 13 : 2 | 0 | 0 | 30 | 100
row 14 : 3 | 0 | 0 | 25 | 100
row 15 : 1 | 0 | 0 | 13 | 100
row 16 : 2 | 0 | 1 | 33 | 50
row 17 : 40 | 0 | 11 | 633 | 72.5 [/Table] Answer this question based on the above table: What Played has a Lost smaller than 3, and a Drawn smaller than 0?

Answer: none
[Table] header: Played | Drawn | Lost | Against | % Won row 1 : 2 | 0 | 0 | 29 | 100
row 2 : 5 | 0 | 2 | 80 | 60
row 3 : 1 | 0 | 0 | 24 | 100
row 4 : 5 | 0 | 2 | 64 | 60
row 5 : 2 | 0 | 0 | 16 | 100
row 6 : 3 | 0 | 0 | 33 | 100
row 7 : 1 | 0 | 0 | 7 | 100
row 8 : 3 | 0 | 3 | 93 | 0
row 9 : 1 | 0 | 0 | 3 | 100
row 10 : 3 | 0 | 0 | 66 | 100
row 11 : 2 | 0 | 0 | 18 | 100
row 12 : 4 | 0 | 3 | 95 | 25
row 13 : 2 | 0 | 0 | 30 | 100
row 14 : 3 | 0 | 0 | 25 | 100
row 15 : 1 | 0 | 0 | 13 | 100
row 16 : 2 | 0 | 1 | 33 | 50
row 17 : 40 | 0 | 11 | 633 | 72.5 [/Table] Answer this question based on the above table: What is the largest % Won with a Lost smaller than 0?

Answer: none
[Table] header: Played | Drawn | Lost | Against | % Won row 1 : 2 | 0 | 0 | 29 | 100
row 2 : 5 | 0 | 2 | 80 | 60
row 3 : 1 | 0 | 0 | 24 | 100
row 4 : 5 | 0 | 2 | 64 | 60
row 5 : 2 | 0 | 0 | 16 | 100
row 6 : 3 | 0 | 0 | 33 | 100
row 7 : 1 | 0 | 0 | 7 | 100
row 8 : 3 | 0 | 3 | 93 | 0
row 9 : 1 | 0 | 0 | 3 | 100
row 10 : 3 | 0 | 0 | 66 | 100
row 11 : 2 | 0 | 0 | 18 | 100
row 12 : 4 | 0 | 3 | 95 | 25
row 13 : 2 | 0 | 0 | 30 | 100
row 14 : 3 | 0 | 0 | 25 | 100
row 15 : 1 | 0 | 0 | 13 | 100
row 16 : 2 | 0 | 1 | 33 | 50
row 17 : 40 | 0 | 11 | 633 | 72.5 [/Table] Answer this question based on the above table: What is the total of Against with % Won larger than 100?

Answer: none
[Table] header: Played | Drawn | Lost | Against | % Won row 1 : 2 | 0 | 0 | 29 | 100
row 2 : 5 | 0 | 2 | 80 | 60
row 3 : 1 | 0 | 0 | 24 | 100
row 4 : 5 | 0 | 2 | 64 | 60
row 5 : 2 | 0 | 0 | 16 | 100
row 6 : 3 | 0 | 0 | 33 | 100
row 7 : 1 | 0 | 0 | 7 | 100
row 8 : 3 | 0 | 3 | 93 | 0
row 9 : 1 | 0 | 0 | 3 | 100
row 10 : 3 | 0 | 0 | 66 | 100
row 11 : 2 | 0 | 0 | 18 | 100
row 12 : 4 | 0 | 3 | 95 | 25
row 13 : 2 | 0 | 0 | 30 | 100
row 14 : 3 | 0 | 0 | 25 | 100
row 15 : 1 | 0 | 0 | 13 | 100
row 16 : 2 | 0 | 1 | 33 | 50
row 17 : 40 | 0 | 11 | 633 | 72.5 [/Table] Answer this question based on the above table: What is the smallest Against with Lost larger than 0, % Won larger than 50, and Played smaller than 5?

Answer: none
[Table] header: Played | Drawn | Lost | Against | % Won row 1 : 2 | 0 | 0 | 29 | 100
row 2 : 5 | 0 | 2 | 80 | 60
row 3 : 1 | 0 | 0 | 24 | 100
row 4 : 5 | 0 | 2 | 64 | 60
row 5 : 2 | 0 | 0 | 16 | 100
row 6 : 3 | 0 | 0 | 33 | 100
row 7 : 1 | 0 | 0 | 7 | 100
row 8 : 3 | 0 | 3 | 93 | 0
row 9 : 1 | 0 | 0 | 3 | 100
row 10 : 3 | 0 | 0 | 66 | 100
row 11 : 2 | 0 | 0 | 18 | 100
row 12 : 4 | 0 | 3 | 95 | 25
row 13 : 2 | 0 | 0 | 30 | 100
row 14 : 3 | 0 | 0 | 25 | 100
row 15 : 1 | 0 | 0 | 13 | 100
row 16 : 2 | 0 | 1 | 33 | 50
row 17 : 40 | 0 | 11 | 633 | 72.5 [/Table] Answer this question based on the above table: What is the Lost with Against smaller than 25, and Played smaller than 1?

Answer: none
[Table] header: Country | Builder | Location | Ship | Class / type row 1 : Royal Navy | Laird, Son & Co. | Birkenhead | HMSVanguard | Audacious-classbattleship
row 2 : Hellenic Navy | Stabilimento Tecnico Triest | Trieste | Vasilissa Olga | Battleship
row 3 : United Kingdom | Maudslay, Sons & Field | Greenwich | Blackadder | Clipper
row 4 : Royal Navy | Dudgeon | Poplar, London | HMSAbyssinia | Breastwork monitor
row 5 : Royal Navy | Pembroke Dockyard | Pembroke | HMSIron Duke | Audacious-classbattleship
row 6 : Royal Navy | Thames Ironworks and Shipbuilding Company | River Thames | HMSMagdala | Cerberus-classmonitor
row 7 : United Kingdom | J & G Thomson | Govan | SSAbyssinia | ocean liner
row 8 : Royal Navy | Napier | Govan | HMSHotspur | Ironclad ram
row 9 : Royal Navy | Chatham Dockyard | Chatham | HMSSultan | Central battery ironclad
row 10 : Royal Navy | Palmers Shipbuilding and Iron Company | Jarrow | HMSSwiftsure | Swiftsure-class battleship
row 11 : United Kingdom | Harland and Wolff | Belfast | RMSOceanic | ocean liner
row 12 : United Kingdom | William Denny and Brothers | Dumbarton | SSParthia | ocean liner
row 13 : Royal Navy | Palmers Shipbuilding and Iron Company | Jarrow | HMSTriumph | Swiftsure-class battleship
row 14 : Royal Navy | Pembroke Dockyard | Pembroke | HMYOsborne | Royal yacht
row 15 : Imperial Japanese Navy | A. Hall & Co. | Aberdeen | Unyo | Gunboat [/Table] Answer this question based on the above table: What ship was built by Palmers Shipbuilding and Iron Company for the Royal Navy?

Answer: HMSSwiftsure, HMSTriumph
[Table] header: Country | Builder | Location | Ship | Class / type row 1 : Royal Navy | Laird, Son & Co. | Birkenhead | HMSVanguard | Audacious-classbattleship
row 2 : Hellenic Navy | Stabilimento Tecnico Triest | Trieste | Vasilissa Olga | Battleship
row 3 : United Kingdom | Maudslay, Sons & Field | Greenwich | Blackadder | Clipper
row 4 : Royal Navy | Dudgeon | Poplar, London | HMSAbyssinia | Breastwork monitor
row 5 : Royal Navy | Pembroke Dockyard | Pembroke | HMSIron Duke | Audacious-classbattleship
row 6 : Royal Navy | Thames Ironworks and Shipbuilding Company | River Thames | HMSMagdala | Cerberus-classmonitor
row 7 : United Kingdom | J & G Thomson | Govan | SSAbyssinia | ocean liner
row 8 : Royal Navy | Napier | Govan | HMSHotspur | Ironclad ram
row 9 : Royal Navy | Chatham Dockyard | Chatham | HMSSultan | Central battery ironclad
row 10 : Royal Navy | Palmers Shipbuilding and Iron Company | Jarrow | HMSSwiftsure | Swiftsure-class battleship
row 11 : United Kingdom | Harland and Wolff | Belfast | RMSOceanic | ocean liner
row 12 : United Kingdom | William Denny and Brothers | Dumbarton | SSParthia | ocean liner
row 13 : Royal Navy | Palmers Shipbuilding and Iron Company | Jarrow | HMSTriumph | Swiftsure-class battleship
row 14 : Royal Navy | Pembroke Dockyard | Pembroke | HMYOsborne | Royal yacht
row 15 : Imperial Japanese Navy | A. Hall & Co. | Aberdeen | Unyo | Gunboat [/Table] Answer this question based on the above table: What is the class/type at Trieste?

Answer: Battleship
[Table] header: Country | Builder | Location | Ship | Class / type row 1 : Royal Navy | Laird, Son & Co. | Birkenhead | HMSVanguard | Audacious-classbattleship
row 2 : Hellenic Navy | Stabilimento Tecnico Triest | Trieste | Vasilissa Olga | Battleship
row 3 : United Kingdom | Maudslay, Sons & Field | Greenwich | Blackadder | Clipper
row 4 : Royal Navy | Dudgeon | Poplar, London | HMSAbyssinia | Breastwork monitor
row 5 : Royal Navy | Pembroke Dockyard | Pembroke | HMSIron Duke | Audacious-classbattleship
row 6 : Royal Navy | Thames Ironworks and Shipbuilding Company | River Thames | HMSMagdala | Cerberus-classmonitor
row 7 : United Kingdom | J & G Thomson | Govan | SSAbyssinia | ocean liner
row 8 : Royal Navy | Napier | Govan | HMSHotspur | Ironclad ram
row 9 : Royal Navy | Chatham Dockyard | Chatham | HMSSultan | Central battery ironclad
row 10 : Royal Navy | Palmers Shipbuilding and Iron Company | Jarrow | HMSSwiftsure | Swiftsure-class battleship
row 11 : United Kingdom | Harland and Wolff | Belfast | RMSOceanic | ocean liner
row 12 : United Kingdom | William Denny and Brothers | Dumbarton | SSParthia | ocean liner
row 13 : Royal Navy | Palmers Shipbuilding and Iron Company | Jarrow | HMSTriumph | Swiftsure-class battleship
row 14 : Royal Navy | Pembroke Dockyard | Pembroke | HMYOsborne | Royal yacht
row 15 : Imperial Japanese Navy | A. Hall & Co. | Aberdeen | Unyo | Gunboat [/Table] Answer this question based on the above table: What is the country of Palmers Shipbuilding and Iron Company?

Answer: Royal Navy, Royal Navy
[Table] header: Country | Builder | Location | Ship | Class / type row 1 : Royal Navy | Laird, Son & Co. | Birkenhead | HMSVanguard | Audacious-classbattleship
row 2 : Hellenic Navy | Stabilimento Tecnico Triest | Trieste | Vasilissa Olga | Battleship
row 3 : United Kingdom | Maudslay, Sons & Field | Greenwich | Blackadder | Clipper
row 4 : Royal Navy | Dudgeon | Poplar, London | HMSAbyssinia | Breastwork monitor
row 5 : Royal Navy | Pembroke Dockyard | Pembroke | HMSIron Duke | Audacious-classbattleship
row 6 : Royal Navy | Thames Ironworks and Shipbuilding Company | River Thames | HMSMagdala | Cerberus-classmonitor
row 7 : United Kingdom | J & G Thomson | Govan | SSAbyssinia | ocean liner
row 8 : Royal Navy | Napier | Govan | HMSHotspur | Ironclad ram
row 9 : Royal Navy | Chatham Dockyard | Chatham | HMSSultan | Central battery ironclad
row 10 : Royal Navy | Palmers Shipbuilding and Iron Company | Jarrow | HMSSwiftsure | Swiftsure-class battleship
row 11 : United Kingdom | Harland and Wolff | Belfast | RMSOceanic | ocean liner
row 12 : United Kingdom | William Denny and Brothers | Dumbarton | SSParthia | ocean liner
row 13 : Royal Navy | Palmers Shipbuilding and Iron Company | Jarrow | HMSTriumph | Swiftsure-class battleship
row 14 : Royal Navy | Pembroke Dockyard | Pembroke | HMYOsborne | Royal yacht
row 15 : Imperial Japanese Navy | A. Hall & Co. | Aberdeen | Unyo | Gunboat [/Table] Answer this question based on the above table: In what country is Aberdeen?

Answer: Imperial Japanese Navy
[Table] header: Player | Height | Position | Year born (Age) | Current Club row 1 : Theodoros Papaloukas | 2.00 | PG | May 8, 1977 (age36) | Olympiacos
row 2 : Yiannis Bourousis | 2.13 | C | November 17, 1983 (age30) | Olympiacos
row 3 : Nikos Zisis | 1.97 | G | August 16, 1983 (age30) | CSKA Moscow
row 4 : Vassilis Spanoulis | 1.93 | G | August 7, 1982 (age31) | Panathinaikos
row 5 : Panagiotis Vasilopoulos | 2.03 | PF | February 8, 1984 (age29) | Olympiacos
row 6 : Antonis Fotsis | 2.09 | PF | April 1, 1981 (age32) | Panathinaikos
row 7 : Giorgos Printezis | 2.06 | F | February 22, 1985 (age28) | Olympiacos
row 8 : Andreas Glyniadakis | 2.16 | C | August 26, 1981 (age32) | Maroussi
row 9 : Kostas Tsartsaris | 2.09 | PF/C | October 17, 1979 (age34) | Panathinaikos
row 10 : Dimitris Diamantidis | 1.96 | G | May 6, 1980 (age33) | Panathinaikos
row 11 : Sofoklis Schortsan | 2.06 | PF/C | June 22, 1985 (age28) | Olympiacos
row 12 : Michalis Pelekanos | 1.98 | SF | May 25, 1981 (age32) | Olympiacos [/Table] Answer this question based on the above table: Count the average Height which has a Position of pf, and a Year born (Age) on april 1, 1981 (age32)?

Answer: 2.09
[Table] header: Player | Height | Position | Year born (Age) | Current Club row 1 : Theodoros Papaloukas | 2.00 | PG | May 8, 1977 (age36) | Olympiacos
row 2 : Yiannis Bourousis | 2.13 | C | November 17, 1983 (age30) | Olympiacos
row 3 : Nikos Zisis | 1.97 | G | August 16, 1983 (age30) | CSKA Moscow
row 4 : Vassilis Spanoulis | 1.93 | G | August 7, 1982 (age31) | Panathinaikos
row 5 : Panagiotis Vasilopoulos | 2.03 | PF | February 8, 1984 (age29) | Olympiacos
row 6 : Antonis Fotsis | 2.09 | PF | April 1, 1981 (age32) | Panathinaikos
row 7 : Giorgos Printezis | 2.06 | F | February 22, 1985 (age28) | Olympiacos
row 8 : Andreas Glyniadakis | 2.16 | C | August 26, 1981 (age32) | Maroussi
row 9 : Kostas Tsartsaris | 2.09 | PF/C | October 17, 1979 (age34) | Panathinaikos
row 10 : Dimitris Diamantidis | 1.96 | G | May 6, 1980 (age33) | Panathinaikos
row 11 : Sofoklis Schortsan | 2.06 | PF/C | June 22, 1985 (age28) | Olympiacos
row 12 : Michalis Pelekanos | 1.98 | SF | May 25, 1981 (age32) | Olympiacos [/Table] Answer this question based on the above table: Which Height has a Position of c, and a Player of yiannis bourousis?

Answer: 2.13
[Table] header: Team | 2005–06 Pts | 2006–07 Pts | 2007–08 Pts | Total Pts | Total Pld row 1 : Boca Juniors | 83 | 83 | 70 | 236 | 114
row 2 : Estudiantes (LP) | 52 | 81 | 69 | 202 | 114
row 3 : River Plate | 62 | 71 | 66 | 199 | 114
row 4 : San Lorenzo | 56 | 73 | 64 | 193 | 114
row 5 : Vélez Sársfield | 58 | 56 | 59 | 173 | 114
row 6 : Lanús | 58 | 59 | 56 | 173 | 114
row 7 : Independiente | 55 | 57 | 59 | 171 | 114
row 8 : Tigre | 0 | 0 | 56 | 56 | 38
row 9 : Argentinos Juniors | 50 | 46 | 61 | 157 | 114
row 10 : Arsenal | 44 | 62 | 51 | 157 | 114
row 11 : Huracán | 0 | 0 | 52 | 52 | 38
row 12 : Banfield | 59 | 39 | 54 | 152 | 114
row 13 : Gimnasia y Esgrima | 69 | 40 | 36 | 145 | 114
row 14 : Newell'sOldBoy | 51 | 38 | 53 | 142 | 114
row 15 : Rosario Central | 45 | 52 | 41 | 138 | 114
row 16 : Colón | 46 | 46 | 45 | 137 | 114
row 17 : Racing | 44 | 49 | 40 | 133 | 114
row 18 : Gimnasia y Esgrima | 51 | 43 | 35 | 129 | 114
row 19 : Olimpo | 0 | 0 | 42 | 42 | 38
row 20 : San Martín (SJ) | 0 | 0 | 35 | 35 | 38 [/Table] Answer this question based on the above table: Which 2005–06 Pts has a Team of estudiantes (lp), and a 2006–07 Pts smaller than 81?

Answer: 0.0
[Table] header: Team | 2005–06 Pts | 2006–07 Pts | 2007–08 Pts | Total Pts | Total Pld row 1 : Boca Juniors | 83 | 83 | 70 | 236 | 114
row 2 : Estudiantes (LP) | 52 | 81 | 69 | 202 | 114
row 3 : River Plate | 62 | 71 | 66 | 199 | 114
row 4 : San Lorenzo | 56 | 73 | 64 | 193 | 114
row 5 : Vélez Sársfield | 58 | 56 | 59 | 173 | 114
row 6 : Lanús | 58 | 59 | 56 | 173 | 114
row 7 : Independiente | 55 | 57 | 59 | 171 | 114
row 8 : Tigre | 0 | 0 | 56 | 56 | 38
row 9 : Argentinos Juniors | 50 | 46 | 61 | 157 | 114
row 10 : Arsenal | 44 | 62 | 51 | 157 | 114
row 11 : Huracán | 0 | 0 | 52 | 52 | 38
row 12 : Banfield | 59 | 39 | 54 | 152 | 114
row 13 : Gimnasia y Esgrima | 69 | 40 | 36 | 145 | 114
row 14 : Newell'sOldBoy | 51 | 38 | 53 | 142 | 114
row 15 : Rosario Central | 45 | 52 | 41 | 138 | 114
row 16 : Colón | 46 | 46 | 45 | 137 | 114
row 17 : Racing | 44 | 49 | 40 | 133 | 114
row 18 : Gimnasia y Esgrima | 51 | 43 | 35 | 129 | 114
row 19 : Olimpo | 0 | 0 | 42 | 42 | 38
row 20 : San Martín (SJ) | 0 | 0 | 35 | 35 | 38 [/Table] Answer this question based on the above table: Which 2006–07 Pts has a 2005–06 Pts smaller than 51, a Team of huracán, and a 2007–08 Pts larger than 52?

Answer: none
[Table] header: Team | 2005–06 Pts | 2006–07 Pts | 2007–08 Pts | Total Pts | Total Pld row 1 : Boca Juniors | 83 | 83 | 70 | 236 | 114
row 2 : Estudiantes (LP) | 52 | 81 | 69 | 202 | 114
row 3 : River Plate | 62 | 71 | 66 | 199 | 114
row 4 : San Lorenzo | 56 | 73 | 64 | 193 | 114
row 5 : Vélez Sársfield | 58 | 56 | 59 | 173 | 114
row 6 : Lanús | 58 | 59 | 56 | 173 | 114
row 7 : Independiente | 55 | 57 | 59 | 171 | 114
row 8 : Tigre | 0 | 0 | 56 | 56 | 38
row 9 : Argentinos Juniors | 50 | 46 | 61 | 157 | 114
row 10 : Arsenal | 44 | 62 | 51 | 157 | 114
row 11 : Huracán | 0 | 0 | 52 | 52 | 38
row 12 : Banfield | 59 | 39 | 54 | 152 | 114
row 13 : Gimnasia y Esgrima | 69 | 40 | 36 | 145 | 114
row 14 : Newell'sOldBoy | 51 | 38 | 53 | 142 | 114
row 15 : Rosario Central | 45 | 52 | 41 | 138 | 114
row 16 : Colón | 46 | 46 | 45 | 137 | 114
row 17 : Racing | 44 | 49 | 40 | 133 | 114
row 18 : Gimnasia y Esgrima | 51 | 43 | 35 | 129 | 114
row 19 : Olimpo | 0 | 0 | 42 | 42 | 38
row 20 : San Martín (SJ) | 0 | 0 | 35 | 35 | 38 [/Table] Answer this question based on the above table: Which 2007–08 Pts has a Total Pts smaller than 173, a Total Pld larger than 38, a Team of banfield, and a 2005–06 Pts smaller than 59?

Answer: none
[Table] header: Team | 2005–06 Pts | 2006–07 Pts | 2007–08 Pts | Total Pts | Total Pld row 1 : Boca Juniors | 83 | 83 | 70 | 236 | 114
row 2 : Estudiantes (LP) | 52 | 81 | 69 | 202 | 114
row 3 : River Plate | 62 | 71 | 66 | 199 | 114
row 4 : San Lorenzo | 56 | 73 | 64 | 193 | 114
row 5 : Vélez Sársfield | 58 | 56 | 59 | 173 | 114
row 6 : Lanús | 58 | 59 | 56 | 173 | 114
row 7 : Independiente | 55 | 57 | 59 | 171 | 114
row 8 : Tigre | 0 | 0 | 56 | 56 | 38
row 9 : Argentinos Juniors | 50 | 46 | 61 | 157 | 114
row 10 : Arsenal | 44 | 62 | 51 | 157 | 114
row 11 : Huracán | 0 | 0 | 52 | 52 | 38
row 12 : Banfield | 59 | 39 | 54 | 152 | 114
row 13 : Gimnasia y Esgrima | 69 | 40 | 36 | 145 | 114
row 14 : Newell'sOldBoy | 51 | 38 | 53 | 142 | 114
row 15 : Rosario Central | 45 | 52 | 41 | 138 | 114
row 16 : Colón | 46 | 46 | 45 | 137 | 114
row 17 : Racing | 44 | 49 | 40 | 133 | 114
row 18 : Gimnasia y Esgrima | 51 | 43 | 35 | 129 | 114
row 19 : Olimpo | 0 | 0 | 42 | 42 | 38
row 20 : San Martín (SJ) | 0 | 0 | 35 | 35 | 38 [/Table] Answer this question based on the above table: Which 2006–07 Pts has a 2007–08 Pts of 53, and a 2005–06 Pts larger than 51?

Answer: none
[Table] header: Rank | Map Reference Number | Census Statistical Area | 2007 Population | Lake(s) row 1 : 1 | 16 | Chicago-Naperville-Michigan | 9,745,165 | Lake Michigan
row 2 : 2 | 15 | Detroit-Warren-Flint, | 5,405,918 | Lake Erie and Lake Huron
row 3 : 3 | 21 | Cleveland-Akron-Elyri | 2,896,968 | Lake Erie
row 4 : 4 | 13 | Milwaukee-Racine-Waukesha | 1,739,497 | Lake Michigan
row 5 : 5 | 14 | Grand Rapids-Muskegon-Ho | 1,323,095 | Lake Michigan
row 6 : 6 | 24 | Buffalo-Niagara-Catta | 1,208,270 | Lake Erie and Lake Ontario
row 7 : 7 | 25 | Rochester-Batavia-Sene | 1,122,845 | Lake Ontario
row 8 : 8 | 26 | Syracuse-Auburn, NY CSA | 725,359 | Lake Ontario
row 9 : 9 | 19 | Toledo-Fremont, OH CSA | 711,952 | Lake Erie
row 10 : 10 | 17 | Kalamazoo-Portage, MI MS | 323,264 | Lake Michigan
row 11 : 11 | 12 | Saginaw-Bay City-S | 309,785 | Lake Huron
row 12 : 12 | 9 | Green Bay, WI MSA | 301,131 | Lake Michigan
row 13 : 13 | 22 | Erie, PA MSA | 279,092 | Lake Erie
row 14 : 14 | 1 | Duluth, MN-WI MS | 274,308 | Lake Superior
row 15 : 15 | 18 | Niles-Benton Harbor, MI MSA | 159,589 | Lake Michigan
row 16 : 16 | 7 | Traverse City, MI μSA | 142,075 | Lake Michigan
row 17 : 17 | 23 | Jamestown-Dunkirk-Fredonia | 133,945 | Lake Erie
row 18 : 18 | 27 | Watertown-Fort Drum, NY μ | 117,201 | Lake Ontario
row 19 : 19 | 11 | Sheboygan, WI MSA | 114,504 | Lake Michigan
row 20 : 20 | 10 | Manitowoc, WI μSA | 80,928 | Lake Michigan
row 21 : 21 | 20 | Sandusky, OH MSA | 77,323 | Lake Erie
row 22 : 22 | 6 | Marinette, WI-MI μSA | 66,820 | Lake Michigan
row 23 : 23 | 3 | Marquette, MI μSA | 65,216 | Lake Superior
row 24 : 24 | 4 | Sault Ste. Marie, MI μSA | 38,922 | Lake Huron and Lake Superior
row 25 : 25 | 5 | Escanaba, MI μSA | 37,367 | Lake Michigan
row 26 : 26 | 2 | Houghton, MI μSA | 37,352 | Lake Superior
row 27 : 27 | 8 | Alpena, MI μSA | 29,707 | Lake Huron [/Table] Answer this question based on the above table: What is the map reference number for Lake Superior with a larger population than 65,216

Answer: 1.0
[Table] header: Rank | Map Reference Number | Census Statistical Area | 2007 Population | Lake(s) row 1 : 1 | 16 | Chicago-Naperville-Michigan | 9,745,165 | Lake Michigan
row 2 : 2 | 15 | Detroit-Warren-Flint, | 5,405,918 | Lake Erie and Lake Huron
row 3 : 3 | 21 | Cleveland-Akron-Elyri | 2,896,968 | Lake Erie
row 4 : 4 | 13 | Milwaukee-Racine-Waukesha | 1,739,497 | Lake Michigan
row 5 : 5 | 14 | Grand Rapids-Muskegon-Ho | 1,323,095 | Lake Michigan
row 6 : 6 | 24 | Buffalo-Niagara-Catta | 1,208,270 | Lake Erie and Lake Ontario
row 7 : 7 | 25 | Rochester-Batavia-Sene | 1,122,845 | Lake Ontario
row 8 : 8 | 26 | Syracuse-Auburn, NY CSA | 725,359 | Lake Ontario
row 9 : 9 | 19 | Toledo-Fremont, OH CSA | 711,952 | Lake Erie
row 10 : 10 | 17 | Kalamazoo-Portage, MI MS | 323,264 | Lake Michigan
row 11 : 11 | 12 | Saginaw-Bay City-S | 309,785 | Lake Huron
row 12 : 12 | 9 | Green Bay, WI MSA | 301,131 | Lake Michigan
row 13 : 13 | 22 | Erie, PA MSA | 279,092 | Lake Erie
row 14 : 14 | 1 | Duluth, MN-WI MS | 274,308 | Lake Superior
row 15 : 15 | 18 | Niles-Benton Harbor, MI MSA | 159,589 | Lake Michigan
row 16 : 16 | 7 | Traverse City, MI μSA | 142,075 | Lake Michigan
row 17 : 17 | 23 | Jamestown-Dunkirk-Fredonia | 133,945 | Lake Erie
row 18 : 18 | 27 | Watertown-Fort Drum, NY μ | 117,201 | Lake Ontario
row 19 : 19 | 11 | Sheboygan, WI MSA | 114,504 | Lake Michigan
row 20 : 20 | 10 | Manitowoc, WI μSA | 80,928 | Lake Michigan
row 21 : 21 | 20 | Sandusky, OH MSA | 77,323 | Lake Erie
row 22 : 22 | 6 | Marinette, WI-MI μSA | 66,820 | Lake Michigan
row 23 : 23 | 3 | Marquette, MI μSA | 65,216 | Lake Superior
row 24 : 24 | 4 | Sault Ste. Marie, MI μSA | 38,922 | Lake Huron and Lake Superior
row 25 : 25 | 5 | Escanaba, MI μSA | 37,367 | Lake Michigan
row 26 : 26 | 2 | Houghton, MI μSA | 37,352 | Lake Superior
row 27 : 27 | 8 | Alpena, MI μSA | 29,707 | Lake Huron [/Table] Answer this question based on the above table: What is the average map reference number for Lake Michigan, a larger rank than 15, and a smaller population on 2007 than 114,504

Answer: 7.0
[Table] header: Rank | Map Reference Number | Census Statistical Area | 2007 Population | Lake(s) row 1 : 1 | 16 | Chicago-Naperville-Michigan | 9,745,165 | Lake Michigan
row 2 : 2 | 15 | Detroit-Warren-Flint, | 5,405,918 | Lake Erie and Lake Huron
row 3 : 3 | 21 | Cleveland-Akron-Elyri | 2,896,968 | Lake Erie
row 4 : 4 | 13 | Milwaukee-Racine-Waukesha | 1,739,497 | Lake Michigan
row 5 : 5 | 14 | Grand Rapids-Muskegon-Ho | 1,323,095 | Lake Michigan
row 6 : 6 | 24 | Buffalo-Niagara-Catta | 1,208,270 | Lake Erie and Lake Ontario
row 7 : 7 | 25 | Rochester-Batavia-Sene | 1,122,845 | Lake Ontario
row 8 : 8 | 26 | Syracuse-Auburn, NY CSA | 725,359 | Lake Ontario
row 9 : 9 | 19 | Toledo-Fremont, OH CSA | 711,952 | Lake Erie
row 10 : 10 | 17 | Kalamazoo-Portage, MI MS | 323,264 | Lake Michigan
row 11 : 11 | 12 | Saginaw-Bay City-S | 309,785 | Lake Huron
row 12 : 12 | 9 | Green Bay, WI MSA | 301,131 | Lake Michigan
row 13 : 13 | 22 | Erie, PA MSA | 279,092 | Lake Erie
row 14 : 14 | 1 | Duluth, MN-WI MS | 274,308 | Lake Superior
row 15 : 15 | 18 | Niles-Benton Harbor, MI MSA | 159,589 | Lake Michigan
row 16 : 16 | 7 | Traverse City, MI μSA | 142,075 | Lake Michigan
row 17 : 17 | 23 | Jamestown-Dunkirk-Fredonia | 133,945 | Lake Erie
row 18 : 18 | 27 | Watertown-Fort Drum, NY μ | 117,201 | Lake Ontario
row 19 : 19 | 11 | Sheboygan, WI MSA | 114,504 | Lake Michigan
row 20 : 20 | 10 | Manitowoc, WI μSA | 80,928 | Lake Michigan
row 21 : 21 | 20 | Sandusky, OH MSA | 77,323 | Lake Erie
row 22 : 22 | 6 | Marinette, WI-MI μSA | 66,820 | Lake Michigan
row 23 : 23 | 3 | Marquette, MI μSA | 65,216 | Lake Superior
row 24 : 24 | 4 | Sault Ste. Marie, MI μSA | 38,922 | Lake Huron and Lake Superior
row 25 : 25 | 5 | Escanaba, MI μSA | 37,367 | Lake Michigan
row 26 : 26 | 2 | Houghton, MI μSA | 37,352 | Lake Superior
row 27 : 27 | 8 | Alpena, MI μSA | 29,707 | Lake Huron [/Table] Answer this question based on the above table: What is the lowest rank with a smaller population in 2007 than 117,201 and whose map reference number is 22?

Answer: 13.0
[Table] header: Outcome | Date | Tournament | Surface | Partner | Opponents in the final | Score in the final row 1 : Runner-ups | August 6, 1989 | Sofia , Bulgaria WTA Tier V | Clay | Silke Meier | Laura Garrone Laura Golarsa | 4–6, 5–7
row 2 : Runner-ups | September 17, 1989 | Athens , Greece WTA Tier V | Clay | Silke Meier | Sandra Cecchini Patricia Tarabini | 6–4, 4–6, 2–6
row 3 : Runner-ups | September 15, 1996 | Karlovy Vary , Czech Republic W | Clay | Eva Martincová | Karina Habšudová Helena | 6–3, 3–6, 2–6
row 4 : Winners | September 22, 1996 | Warsaw , Poland WTA Tier III | Clay | Olga Lugina | Alexandra Fusai Laura Garrone | 1–6, 6–4, 7–5
row 5 : Runner-ups | January 5, 1997 | Auckland , New Zealand WTA Tier IV | Hard | Aleksandra Olsza | Janette Husárová Dominique Van Roost | 2–6, 7–6 (7–5) 
row 6 : Runner-ups | April 27, 1997 | Budapest , Hungary WTA Tier IV | Clay | Eva Martincová | Amanda Coetzer Alexandra Fusai | 3–6, 1–6
row 7 : Winners | July 19, 1998 | Palermo , Italy WTA Tier | Clay | Pavlina Nola | Barbara Schett Patty Schnyder | 6–4, 6–2
row 8 : Winners | August 8, 1999 | Knokke-Heist , Belgium W | Clay | Eva Martincová | Evgenia Koulikovs | 3–6, 6–3, 6–3 [/Table] Answer this question based on the above table: Which Outcome has a Score in the final of 1–6, 6–4, 7–5?

Answer: Winners
[Table] header: Outcome | Date | Tournament | Surface | Partner | Opponents in the final | Score in the final row 1 : Runner-ups | August 6, 1989 | Sofia , Bulgaria WTA Tier V | Clay | Silke Meier | Laura Garrone Laura Golarsa | 4–6, 5–7
row 2 : Runner-ups | September 17, 1989 | Athens , Greece WTA Tier V | Clay | Silke Meier | Sandra Cecchini Patricia Tarabini | 6–4, 4–6, 2–6
row 3 : Runner-ups | September 15, 1996 | Karlovy Vary , Czech Republic W | Clay | Eva Martincová | Karina Habšudová Helena | 6–3, 3–6, 2–6
row 4 : Winners | September 22, 1996 | Warsaw , Poland WTA Tier III | Clay | Olga Lugina | Alexandra Fusai Laura Garrone | 1–6, 6–4, 7–5
row 5 : Runner-ups | January 5, 1997 | Auckland , New Zealand WTA Tier IV | Hard | Aleksandra Olsza | Janette Husárová Dominique Van Roost | 2–6, 7–6 (7–5) 
row 6 : Runner-ups | April 27, 1997 | Budapest , Hungary WTA Tier IV | Clay | Eva Martincová | Amanda Coetzer Alexandra Fusai | 3–6, 1–6
row 7 : Winners | July 19, 1998 | Palermo , Italy WTA Tier | Clay | Pavlina Nola | Barbara Schett Patty Schnyder | 6–4, 6–2
row 8 : Winners | August 8, 1999 | Knokke-Heist , Belgium W | Clay | Eva Martincová | Evgenia Koulikovs | 3–6, 6–3, 6–3 [/Table] Answer this question based on the above table: Which Outcome has a Score in the final of 4–6, 5–7?

Answer: Runner-ups
[Table] header: Outcome | Date | Tournament | Surface | Partner | Opponents in the final | Score in the final row 1 : Runner-ups | August 6, 1989 | Sofia , Bulgaria WTA Tier V | Clay | Silke Meier | Laura Garrone Laura Golarsa | 4–6, 5–7
row 2 : Runner-ups | September 17, 1989 | Athens , Greece WTA Tier V | Clay | Silke Meier | Sandra Cecchini Patricia Tarabini | 6–4, 4–6, 2–6
row 3 : Runner-ups | September 15, 1996 | Karlovy Vary , Czech Republic W | Clay | Eva Martincová | Karina Habšudová Helena | 6–3, 3–6, 2–6
row 4 : Winners | September 22, 1996 | Warsaw , Poland WTA Tier III | Clay | Olga Lugina | Alexandra Fusai Laura Garrone | 1–6, 6–4, 7–5
row 5 : Runner-ups | January 5, 1997 | Auckland , New Zealand WTA Tier IV | Hard | Aleksandra Olsza | Janette Husárová Dominique Van Roost | 2–6, 7–6 (7–5) 
row 6 : Runner-ups | April 27, 1997 | Budapest , Hungary WTA Tier IV | Clay | Eva Martincová | Amanda Coetzer Alexandra Fusai | 3–6, 1–6
row 7 : Winners | July 19, 1998 | Palermo , Italy WTA Tier | Clay | Pavlina Nola | Barbara Schett Patty Schnyder | 6–4, 6–2
row 8 : Winners | August 8, 1999 | Knokke-Heist , Belgium W | Clay | Eva Martincová | Evgenia Koulikovs | 3–6, 6–3, 6–3 [/Table] Answer this question based on the above table: Which Opponents in the final has a Partner of olga lugina?

Answer: Alexandra Fusai Laura Garrone
[Table] header: Outcome | Date | Tournament | Surface | Partner | Opponents in the final | Score in the final row 1 : Runner-ups | August 6, 1989 | Sofia , Bulgaria WTA Tier V | Clay | Silke Meier | Laura Garrone Laura Golarsa | 4–6, 5–7
row 2 : Runner-ups | September 17, 1989 | Athens , Greece WTA Tier V | Clay | Silke Meier | Sandra Cecchini Patricia Tarabini | 6–4, 4–6, 2–6
row 3 : Runner-ups | September 15, 1996 | Karlovy Vary , Czech Republic W | Clay | Eva Martincová | Karina Habšudová Helena | 6–3, 3–6, 2–6
row 4 : Winners | September 22, 1996 | Warsaw , Poland WTA Tier III | Clay | Olga Lugina | Alexandra Fusai Laura Garrone | 1–6, 6–4, 7–5
row 5 : Runner-ups | January 5, 1997 | Auckland , New Zealand WTA Tier IV | Hard | Aleksandra Olsza | Janette Husárová Dominique Van Roost | 2–6, 7–6 (7–5) 
row 6 : Runner-ups | April 27, 1997 | Budapest , Hungary WTA Tier IV | Clay | Eva Martincová | Amanda Coetzer Alexandra Fusai | 3–6, 1–6
row 7 : Winners | July 19, 1998 | Palermo , Italy WTA Tier | Clay | Pavlina Nola | Barbara Schett Patty Schnyder | 6–4, 6–2
row 8 : Winners | August 8, 1999 | Knokke-Heist , Belgium W | Clay | Eva Martincová | Evgenia Koulikovs | 3–6, 6–3, 6–3 [/Table] Answer this question based on the above table: Which Outcome has a Score in the final of 3–6, 1–6?

Answer: Runner-ups
[Table] header: Team 1 | Score | Team 2 | 1st round | 2nd round row 1 : Stade Brestois (D1) | 2 - 5 | AJ Auxerre (D1) | 2 - 4 | 0 - 1
row 2 : Paris SG (D1) | 3 - 1 | FC Mulhouse (D2) | 1 - 0 | 2 - 1
row 3 : ECAC Chaumont (D2) | 0 - 5 | Girondins de Bordeaux (D1) | 0 - 0 | 0 - 5
row 4 : FC Rouen (D2) | 1 - 3 | Stade Rennais (D1) | 1 - 1 | 0 - 2
row 5 : Limoges FC (D2) | 4 - 8 | RC Lens (D1) | 3 - 4 | 1 - 4
row 6 : Olympique de Marseille (D1) | 4 - 1 | CS Blénod (D | 3 - 0 | 1 - 1
row 7 : Stade Lavallois (D1) | 1 - 3 | RC Paris (D2) | 1 - 0 | 0 - 3
row 8 : RC Strasbourg (D1) | 0 - 3 | Tours FC (D2) | 0 - 0 | 0 - 3 [/Table] Answer this question based on the above table: What is the 1st round result for ECAC Chaumont (D2) as team 1?

Answer: 0 - 0
[Table] header: Team 1 | Score | Team 2 | 1st round | 2nd round row 1 : Stade Brestois (D1) | 2 - 5 | AJ Auxerre (D1) | 2 - 4 | 0 - 1
row 2 : Paris SG (D1) | 3 - 1 | FC Mulhouse (D2) | 1 - 0 | 2 - 1
row 3 : ECAC Chaumont (D2) | 0 - 5 | Girondins de Bordeaux (D1) | 0 - 0 | 0 - 5
row 4 : FC Rouen (D2) | 1 - 3 | Stade Rennais (D1) | 1 - 1 | 0 - 2
row 5 : Limoges FC (D2) | 4 - 8 | RC Lens (D1) | 3 - 4 | 1 - 4
row 6 : Olympique de Marseille (D1) | 4 - 1 | CS Blénod (D | 3 - 0 | 1 - 1
row 7 : Stade Lavallois (D1) | 1 - 3 | RC Paris (D2) | 1 - 0 | 0 - 3
row 8 : RC Strasbourg (D1) | 0 - 3 | Tours FC (D2) | 0 - 0 | 0 - 3 [/Table] Answer this question based on the above table: Which team 1 played against team 2 of Tours FC (D2)?

Answer: RC Strasbourg (D1)
[Table] header: Team 1 | Score | Team 2 | 1st round | 2nd round row 1 : Stade Brestois (D1) | 2 - 5 | AJ Auxerre (D1) | 2 - 4 | 0 - 1
row 2 : Paris SG (D1) | 3 - 1 | FC Mulhouse (D2) | 1 - 0 | 2 - 1
row 3 : ECAC Chaumont (D2) | 0 - 5 | Girondins de Bordeaux (D1) | 0 - 0 | 0 - 5
row 4 : FC Rouen (D2) | 1 - 3 | Stade Rennais (D1) | 1 - 1 | 0 - 2
row 5 : Limoges FC (D2) | 4 - 8 | RC Lens (D1) | 3 - 4 | 1 - 4
row 6 : Olympique de Marseille (D1) | 4 - 1 | CS Blénod (D | 3 - 0 | 1 - 1
row 7 : Stade Lavallois (D1) | 1 - 3 | RC Paris (D2) | 1 - 0 | 0 - 3
row 8 : RC Strasbourg (D1) | 0 - 3 | Tours FC (D2) | 0 - 0 | 0 - 3 [/Table] Answer this question based on the above table: Which is team 2 when team 1 is ECAC Chaumont (d2)?

Answer: Girondins de Bordeaux (D1)
[Table] header: Block | Title | Directed by | Written by | Code row 1 : 1 | "Rose" "Aliens of | Keith Boak | Russell T Davies | 1.1 1.4 1.5
row 2 : 2 | "The End of the World" "The Un | Euros Lyn | Russell T Davies Mark Gatiss | 1.2 1.3
row 3 : 3 | "Dalek" "Father | Joe Ahearne | Robert Shearman Paul Cornell | 1.6 1.8
row 4 : 4 | "The Long Game" | Brian Grant | Russell T Davies | 1.7
row 5 : 5 | "The Empty Child" "The Doctor | James Hawes | Steven Moffat | 1.9 1.10
row 6 : 6 | "Boom Town" "Bad Wolf | Joe Ahearne | Russell T Davies | 1.11 1.12 1.13 [/Table] Answer this question based on the above table: Which Written by has a Code of 1.2 1.3?

Answer: Russell T Davies Mark Gatiss
[Table] header: Week | Date | Opponent | Result | Attendance row 1 : 1 | September 4, 1994 | San Diego Chargers | L 37–34 | 74,032
row 2 : 2 | September 11, 1994 | at New York Jets | L 25–22 | 73,436
row 3 : 3 | September 18, 1994 | Los Angeles Raiders | L 48–16 | 75,764
row 4 : 4 | September 26, 1994 | at Buffalo Bills | L 27–20 | 75,373
row 5 : 5 | Bye | Bye | Bye | Bye
row 6 : 6 | October 9, 1994 | at Seattle Seahawks | W 16–9 | 63,872
row 7 : 7 | October 17, 1994 | Kansas City Chiefs | L 31–28 | 75,151
row 8 : 8 | October 23, 1994 | at San Diego Chargers | W 20–15 | 61,626
row 9 : 9 | October 30, 1994 | Cleveland Browns | W 26–14 | 73,190
row 10 : 10 | November 6, 1994 | at Los Angeles Rams | L 27–21 | 48,103
row 11 : 11 | November 13, 1994 | Seattle Seahawks | W 17–10 | 71,290
row 12 : 12 | November 20, 1994 | Atlanta Falcons | W 32–28 | 70,594
row 13 : 13 | November 27, 1994 | Cincinnati Bengals | W 15–13 | 69,714
row 14 : 14 | December 4, 1994 | at Kansas City Chiefs | W 20–17 | 77,631
row 15 : 15 | December 11, 1994 | at Los Angeles Raiders | L 23–13 | 60,016
row 16 : 16 | December 17, 1994 | at San Francisco 49ers | L 42–19 | 64,884
row 17 : 17 | December 24, 1994 | New Orleans Saints | L 30–28 | 64,445 [/Table] Answer this question based on the above table: In what week(s) did the Broncos go up against the Cleveland Browns?

Answer: 9.0
[Table] header: Week | Date | Opponent | Result | Attendance row 1 : 1 | September 4, 1994 | San Diego Chargers | L 37–34 | 74,032
row 2 : 2 | September 11, 1994 | at New York Jets | L 25–22 | 73,436
row 3 : 3 | September 18, 1994 | Los Angeles Raiders | L 48–16 | 75,764
row 4 : 4 | September 26, 1994 | at Buffalo Bills | L 27–20 | 75,373
row 5 : 5 | Bye | Bye | Bye | Bye
row 6 : 6 | October 9, 1994 | at Seattle Seahawks | W 16–9 | 63,872
row 7 : 7 | October 17, 1994 | Kansas City Chiefs | L 31–28 | 75,151
row 8 : 8 | October 23, 1994 | at San Diego Chargers | W 20–15 | 61,626
row 9 : 9 | October 30, 1994 | Cleveland Browns | W 26–14 | 73,190
row 10 : 10 | November 6, 1994 | at Los Angeles Rams | L 27–21 | 48,103
row 11 : 11 | November 13, 1994 | Seattle Seahawks | W 17–10 | 71,290
row 12 : 12 | November 20, 1994 | Atlanta Falcons | W 32–28 | 70,594
row 13 : 13 | November 27, 1994 | Cincinnati Bengals | W 15–13 | 69,714
row 14 : 14 | December 4, 1994 | at Kansas City Chiefs | W 20–17 | 77,631
row 15 : 15 | December 11, 1994 | at Los Angeles Raiders | L 23–13 | 60,016
row 16 : 16 | December 17, 1994 | at San Francisco 49ers | L 42–19 | 64,884
row 17 : 17 | December 24, 1994 | New Orleans Saints | L 30–28 | 64,445 [/Table] Answer this question based on the above table: What week was the December 24, 1994 game?

Answer: 17.0
[Table] header: Round | Player | Position | Nationality | College/junior/club team (league) row 1 : 2 | Danny Kristo | Right Wing | United States | USA U-18
row 2 : 3 | Steve Quailer | Right Wing | United States | Sioux City Musketeers (
row 3 : 4 | Jason Missiaen | Goalie | Canada | Peterborough Petes ( OHL )
row 4 : 5 | Maxim Trunev | Right Wing | Russia | Cherepovets-2 (Russia-
row 5 : 7 | Patrick Johnson | Center | United States | University of Wisconsin ( WCHA ) [/Table] Answer this question based on the above table: Which Nationality has a Round smaller than 3?

Answer: United States
[Table] header: Round | Player | Position | Nationality | College/junior/club team (league) row 1 : 2 | Danny Kristo | Right Wing | United States | USA U-18
row 2 : 3 | Steve Quailer | Right Wing | United States | Sioux City Musketeers (
row 3 : 4 | Jason Missiaen | Goalie | Canada | Peterborough Petes ( OHL )
row 4 : 5 | Maxim Trunev | Right Wing | Russia | Cherepovets-2 (Russia-
row 5 : 7 | Patrick Johnson | Center | United States | University of Wisconsin ( WCHA ) [/Table] Answer this question based on the above table: Which Position has a Round larger than 4, and a Player of patrick johnson?

Answer: Center
[Table] header: Round | Player | Position | Nationality | College/junior/club team (league) row 1 : 2 | Danny Kristo | Right Wing | United States | USA U-18
row 2 : 3 | Steve Quailer | Right Wing | United States | Sioux City Musketeers (
row 3 : 4 | Jason Missiaen | Goalie | Canada | Peterborough Petes ( OHL )
row 4 : 5 | Maxim Trunev | Right Wing | Russia | Cherepovets-2 (Russia-
row 5 : 7 | Patrick Johnson | Center | United States | University of Wisconsin ( WCHA ) [/Table] Answer this question based on the above table: Which Nationality has a Round of 4?

Answer: Canada
[Table] header: Round | Player | Position | Nationality | College/junior/club team (league) row 1 : 2 | Danny Kristo | Right Wing | United States | USA U-18
row 2 : 3 | Steve Quailer | Right Wing | United States | Sioux City Musketeers (
row 3 : 4 | Jason Missiaen | Goalie | Canada | Peterborough Petes ( OHL )
row 4 : 5 | Maxim Trunev | Right Wing | Russia | Cherepovets-2 (Russia-
row 5 : 7 | Patrick Johnson | Center | United States | University of Wisconsin ( WCHA ) [/Table] Answer this question based on the above table: Which Player has a Round smaller than 4, and a College/junior/club team (league) of usa u-18?

Answer: Danny Kristo
[Table] header: Team 1 | Agg. | Team 2 | 1st leg | 2nd leg row 1 : Belasica | 1–1 (3–1 p ) | Pobeda | 1–1 | 1–1 ( aet )
row 2 : Pelister | 2–4 | Sloga Jugomagnat | 1–1 | 1–3
row 3 : Rabotnički | 3–3( a ) | Cementarnica | 1–3 | 2–0
row 4 : Teteks | 1–1 (3–4 p ) | Vardar | 1–0 | 0–1 ( aet 
row 5 : Makedonija | 2–7 | Napredok | 1–4 | 1–3
row 6 : Kožuv | 1–3 | Tikveš | 0–0 | 1–3
row 7 : Sileks | 10–2 | 11 Oktomvri | 5–0 | 5–2
row 8 : Lokomotiva | 3–2 | Borec | 0–1 | 3–1 [/Table] Answer this question based on the above table: What team 2 has lokomotiva as team 1?

Answer: Borec
[Table] header: Team 1 | Agg. | Team 2 | 1st leg | 2nd leg row 1 : Belasica | 1–1 (3–1 p ) | Pobeda | 1–1 | 1–1 ( aet )
row 2 : Pelister | 2–4 | Sloga Jugomagnat | 1–1 | 1–3
row 3 : Rabotnički | 3–3( a ) | Cementarnica | 1–3 | 2–0
row 4 : Teteks | 1–1 (3–4 p ) | Vardar | 1–0 | 0–1 ( aet 
row 5 : Makedonija | 2–7 | Napredok | 1–4 | 1–3
row 6 : Kožuv | 1–3 | Tikveš | 0–0 | 1–3
row 7 : Sileks | 10–2 | 11 Oktomvri | 5–0 | 5–2
row 8 : Lokomotiva | 3–2 | Borec | 0–1 | 3–1 [/Table] Answer this question based on the above table: What team 1 has sloga jugomagnat as team 2?

Answer: Pelister
[Table] header: Team 1 | Agg. | Team 2 | 1st leg | 2nd leg row 1 : Belasica | 1–1 (3–1 p ) | Pobeda | 1–1 | 1–1 ( aet )
row 2 : Pelister | 2–4 | Sloga Jugomagnat | 1–1 | 1–3
row 3 : Rabotnički | 3–3( a ) | Cementarnica | 1–3 | 2–0
row 4 : Teteks | 1–1 (3–4 p ) | Vardar | 1–0 | 0–1 ( aet 
row 5 : Makedonija | 2–7 | Napredok | 1–4 | 1–3
row 6 : Kožuv | 1–3 | Tikveš | 0–0 | 1–3
row 7 : Sileks | 10–2 | 11 Oktomvri | 5–0 | 5–2
row 8 : Lokomotiva | 3–2 | Borec | 0–1 | 3–1 [/Table] Answer this question based on the above table: What 2nd leg has pelister as team 1?

Answer: 1–3
[Table] header: Team 1 | Agg. | Team 2 | 1st leg | 2nd leg row 1 : Belasica | 1–1 (3–1 p ) | Pobeda | 1–1 | 1–1 ( aet )
row 2 : Pelister | 2–4 | Sloga Jugomagnat | 1–1 | 1–3
row 3 : Rabotnički | 3–3( a ) | Cementarnica | 1–3 | 2–0
row 4 : Teteks | 1–1 (3–4 p ) | Vardar | 1–0 | 0–1 ( aet 
row 5 : Makedonija | 2–7 | Napredok | 1–4 | 1–3
row 6 : Kožuv | 1–3 | Tikveš | 0–0 | 1–3
row 7 : Sileks | 10–2 | 11 Oktomvri | 5–0 | 5–2
row 8 : Lokomotiva | 3–2 | Borec | 0–1 | 3–1 [/Table] Answer this question based on the above table: What 1st leg has 11 oktomvri as team 2?

Answer: 5–0
[Table] header: Opposing Teams | Against | Date | Venue | Status row 1 : Scotland | 21 | 20/02/1999 | Twickenham , London | Five Nations
row 2 : Ireland | 15 | 06/03/1999 | Lansdowne Road , Dublin | Five Nations
row 3 : France | 10 | 20/03/1999 | Twickenham , London | Five Nations
row 4 : Wales | 32 | 11/04/1999 | Wembley Stadium , London | Five Nations
row 5 : Australia | 22 | 26/06/1999 | Stadium Australia , Sydney | Test Match
row 6 : U.S.A. | 8 | 21/08/1999 | Twickenham , London | Test Match
row 7 : Canada | 11 | 28/08/1999 | Twickenham , London | Test Match
row 8 : Italy | 7 | 02/10/1999 | Twickenham , London | 1999 Rugby World Cup
row 9 : New Zealand | 30 | 09/10/1999 | Twickenham , London | 1999 Rugby World Cup
row 10 : Tonga | 10 | 15/10/1999 | Twickenham , London | 1999 Rugby World Cup
row 11 : Fiji | 24 | 20/10/1999 | Twickenham , London | 1999 Rugby World Cup
row 12 : South Africa | 44 | 24/10/1999 | Stade de France , Saint-D | 1999 Rugby World Cup [/Table] Answer this question based on the above table: What is the total against on 15/10/1999?

Answer: 10.0
[Table] header: Opposing Teams | Against | Date | Venue | Status row 1 : Scotland | 21 | 20/02/1999 | Twickenham , London | Five Nations
row 2 : Ireland | 15 | 06/03/1999 | Lansdowne Road , Dublin | Five Nations
row 3 : France | 10 | 20/03/1999 | Twickenham , London | Five Nations
row 4 : Wales | 32 | 11/04/1999 | Wembley Stadium , London | Five Nations
row 5 : Australia | 22 | 26/06/1999 | Stadium Australia , Sydney | Test Match
row 6 : U.S.A. | 8 | 21/08/1999 | Twickenham , London | Test Match
row 7 : Canada | 11 | 28/08/1999 | Twickenham , London | Test Match
row 8 : Italy | 7 | 02/10/1999 | Twickenham , London | 1999 Rugby World Cup
row 9 : New Zealand | 30 | 09/10/1999 | Twickenham , London | 1999 Rugby World Cup
row 10 : Tonga | 10 | 15/10/1999 | Twickenham , London | 1999 Rugby World Cup
row 11 : Fiji | 24 | 20/10/1999 | Twickenham , London | 1999 Rugby World Cup
row 12 : South Africa | 44 | 24/10/1999 | Stade de France , Saint-D | 1999 Rugby World Cup [/Table] Answer this question based on the above table: What status is on 21/08/1999?

Answer: Test Match
[Table] header: Opposing Teams | Against | Date | Venue | Status row 1 : Scotland | 21 | 20/02/1999 | Twickenham , London | Five Nations
row 2 : Ireland | 15 | 06/03/1999 | Lansdowne Road , Dublin | Five Nations
row 3 : France | 10 | 20/03/1999 | Twickenham , London | Five Nations
row 4 : Wales | 32 | 11/04/1999 | Wembley Stadium , London | Five Nations
row 5 : Australia | 22 | 26/06/1999 | Stadium Australia , Sydney | Test Match
row 6 : U.S.A. | 8 | 21/08/1999 | Twickenham , London | Test Match
row 7 : Canada | 11 | 28/08/1999 | Twickenham , London | Test Match
row 8 : Italy | 7 | 02/10/1999 | Twickenham , London | 1999 Rugby World Cup
row 9 : New Zealand | 30 | 09/10/1999 | Twickenham , London | 1999 Rugby World Cup
row 10 : Tonga | 10 | 15/10/1999 | Twickenham , London | 1999 Rugby World Cup
row 11 : Fiji | 24 | 20/10/1999 | Twickenham , London | 1999 Rugby World Cup
row 12 : South Africa | 44 | 24/10/1999 | Stade de France , Saint-D | 1999 Rugby World Cup [/Table] Answer this question based on the above table: What opposing teams playing on 11/04/1999?

Answer: Wales
[Table] header: Year | Song | Film | Co-Singer | Composer | Lyricist row 1 : 2013 | Hridoy Aamar Nache Re | Shunyo Awnko | None | Rabindranath Tagore | Rabindranath Tagore
row 2 : 2013 | Aloy Alokmoy Kore | Shunyo Awnko | None | Rabindranath Tagore | Rabindranath Tagore
row 3 : 2013 | Emoni Barasha Chhilo Se | Shunyo Awnko | None | Kamal Dasgupta | Pranab Roy
row 4 : 2013 | Rabso Neha Laage ( Bila | Shunyo Awnko | Ajoy Chakraborty | Gautam Ghose | Gautam Ghose
row 5 : 2012 | Bhalobashi | Teen Kanya | None | Indradeep Dasgupta | Srijato
row 6 : 2012 | Rahoon Tere Peechhe Peech | Paanch Adhyay | None | Shantanu Moitra | Swanand Kirkire
row 7 : 2011 | Paata Jhora Brishti | Chaplin | Shaan | Indradeep Dasgupta | Srijato
row 8 : 2011 | Phire Ja Re Mon Ja | Jaani Dyakha Hawbe | None | Indradeep Dasgupta | Srijato
row 9 : 2005 | Vaishnava Jan To | Water | Ajoy Chakraborty | Sukhwinder Singh | Sukhwinder Singh [/Table] Answer this question based on the above table: What co-singer has sukhwinder singh as the composer?

Answer: Ajoy Chakraborty
[Table] header: Place | Player | Country | Score | To par row 1 : 1 | Jean van de Velde | France | 75-68=143 | +1
row 2 : 2 | Ángel Cabrera | Argentina | 75-69=144 | +2
row 3 : 3 | Jesper Parnevik | Sweden | 74-71=145 | +3
row 4 : T4 | Greg Norman | Australia | 76-70=146 | +4
row 5 : T4 | Patrik Sjöland | Sweden | 74-72=146 | +4
row 6 : T4 | Tiger Woods | United States | 74-72=146 | +4
row 7 : T7 | Bradley Hughes | Australia | 76-71=147 | +5
row 8 : T7 | Paul Lawrie | Scotland | 73-74=147 | +5
row 9 : T7 | Justin Leonard | United States | 73-74=147 | +5
row 10 : T7 | Len Mattiace | United States | 73-74=147 | +5
row 11 : T7 | Brian Watts | United States | 74-73=147 | +5 [/Table] Answer this question based on the above table: What is the score of player brian watts, who has a to par of 5?

Answer: 74-73=147