sail/symbolic-instruction-tuning huggingface dataset:
[Table] header: Tie no | Home team | Score | Away team | Attendance row 1 : 6 | Billingham Synthonia | 5–1 | Glasshoughton Welfare | 103
row 2 : 16 | Brandon United | 1–2 | Billingham Town | 70
row 3 : 18 | Stokesley SC | 2–0 | Washington | 148
row 4 : 33 | St Helens Town | 1–0 | Holker Old Boys | 83
row 5 : 35 | Nostell Miners Welfare | 3–0 | Winsford United | 135
row 6 : 37 | Flixton | 3–1† | Abbey Hey | 68
row 7 : 42 | AFC Blackpool | 1–4 | Congleton Town | 54
row 8 : 49 | Pilkington XXX | 2–1 | AFC Wulfrunians | 68
row 9 : 67 | Meir KA | 4–4 | Goodrich | 76
row 10 : Meir KA won 5–4 on | Meir KA won 5–4 on | Meir KA won 5–4 on | Meir KA won 5–4 on | Meir KA won 5–4 on
row 11 : 76 | Lye Town | 5–1 | Brocton | 252
row 12 : 84 | March Town United | 2–0 | Haverhill Rovers | 105
row 13 : 85 | Ipswich Wanderers | 2–0 | Stowmarket Town | 116
row 14 : 92 | Cornard United | 3–3 | Whitton United | 33
row 15 : Cornard United won 4–2 on penalties | Cornard United won 4–2 on penalties | Cornard United won 4–2 on penalties | Cornard United won 4–2 on penalties | Cornard United won 4–2 on penalties
row 16 : 98 | Norwich United | 1–3 | Wisbech Town | 114
row 17 : 101 | Harwich & Parkeston | 0–3 | Raunds Town | 131
row 18 : 108 | Saffron Walden Town | 2–1 | Desborough Town | 166
row 19 : 111 | Wellingborough Town | 2–0 | Kentish Town | 112
row 20 : 118 | Sporting Bengal United | 1–0 | London Colney | 98
row 21 : 126 | Royston Town | 4–0 | Wembley | 201
row 22 : 131 | Burnham Ramblers | 5–3 | Daventry United | 84
row 23 : 140 | Tunbridge Wells | 2–1 | Slade Green | 112
row 24 : 145 | Croydon | 4–3 | Whitehawk | 63
row 25 : 147 | Chichester City United | 3–1 | Crawley Down | 72
row 26 : 148 | Southwick | 1–3 | Cobham | 77
row 27 : 155 | Lordswood | 2–4 | Camberley Town | 52
row 28 : 157 | Deal Town | 1–2 | Chertsey Town | 104
row 29 : 159 | Raynes Park Vale | 3–1 | Horley Town | 72
row 30 : 162 | Hamble ASSC | 2–2 | Westbury United | 62
row 31 : Westbury United won 4–2 on penalties | Westbury United won 4–2 on penalties | Westbury United won 4–2 on penalties | Westbury United won 4–2 on penalties | Westbury United won 4–2 on penalties
row 32 : 171 | Marlow United | 2–2 | Hungerford Town | 59
row 33 : Marlow United won 4–2 on penalties | Marlow United won 4–2 on penalties | Marlow United won 4–2 on penalties | Marlow United won 4–2 on penalties | Marlow United won 4–2 on penalties
row 34 : 172 | Calne Town | 3–0 | Devizes Town | 76
row 35 : 176 | Bitton | 3–0 | Thame United | 82
row 36 : 184 | Wootton Bassett Town | 1–6 | Flackwell Heath | 97
row 37 : 187 | Street | 5–1 | Chard Town | 123
row 38 : 195 | Falmouth Town | 4–2 | Shaftesbury | 66
row 39 : 197 | Saltash United | 2–4 | Gillingham Town | 116
row 40 : 200 | Wimborne Town | 3–2 | Dawlish Town | 273 [/Table] Answer this question based on the above table: What is Home Team, when Attendance is "112", and when Away Team is "Kentish Town"?

Answer: Wellingborough Town
[Table] header: Date | Tournament | Surface | Opponent in the final | Score row 1 : April 28, 1999 | Hatfield , United Kingdom | Clay | Jean-René Lisnard | 7–6, 1–6, 6–0
row 2 : August 16, 1999 | Bronx , U.S. | Hard | Alexander Popp | 4 6–7, 7–6 4 
row 3 : October 15, 2001 | Brasilia , Brazil | Clay | Sebastián Prieto | 6–4, 4–6, 7–6 6
row 4 : September 22, 2003 | San Antonio , U.S. | Hard | Dmitry Tursunov | 6–2, 3 6–7, 6–
row 5 : September 29, 2003 | Nevers , France | Hard | Jean-Michel Pequery | 6–4, 6–4
row 6 : March 13, 2006 | Lille , France | Hard | Jo-Wilfried Tsonga | 7–5, 7–5
row 7 : January 7, 2008 | Nußloch , Germany | Carpet | Karol Beck | 6–4, 6–4
row 8 : April 7, 2008 | Angers , France | Clay | Alexandre Sidorenko | 7 6–7, 6–2, 7–
row 9 : May 11, 2009 | Newcastle , United Kingdom | Clay | David Guez | 6–3, 3–6, 6–0 [/Table] Answer this question based on the above table: What was the April 7, 2008 score on a clay surface?

Answer: 7 6–7, 6–2, 7–
[Table] header: Date | Tournament | Surface | Opponent in the final | Score row 1 : April 28, 1999 | Hatfield , United Kingdom | Clay | Jean-René Lisnard | 7–6, 1–6, 6–0
row 2 : August 16, 1999 | Bronx , U.S. | Hard | Alexander Popp | 4 6–7, 7–6 4 
row 3 : October 15, 2001 | Brasilia , Brazil | Clay | Sebastián Prieto | 6–4, 4–6, 7–6 6
row 4 : September 22, 2003 | San Antonio , U.S. | Hard | Dmitry Tursunov | 6–2, 3 6–7, 6–
row 5 : September 29, 2003 | Nevers , France | Hard | Jean-Michel Pequery | 6–4, 6–4
row 6 : March 13, 2006 | Lille , France | Hard | Jo-Wilfried Tsonga | 7–5, 7–5
row 7 : January 7, 2008 | Nußloch , Germany | Carpet | Karol Beck | 6–4, 6–4
row 8 : April 7, 2008 | Angers , France | Clay | Alexandre Sidorenko | 7 6–7, 6–2, 7–
row 9 : May 11, 2009 | Newcastle , United Kingdom | Clay | David Guez | 6–3, 3–6, 6–0 [/Table] Answer this question based on the above table: What date was the score 6–3, 3–6, 6–0?

Answer: May 11, 2009
[Table] header: Institution | Location | Founded | Affiliation | Enrollment | Nickname | NCAA Team Championships (through July 4, 2012) row 1 : University of Arizona | Tucson, Arizona | 1885 | Public | 38,057 | Wildcats | 18
row 2 : Arizona State University | Tempe, Arizona | 1885 | Public | 55,552 | Sun Devils | 23
row 3 : University of California, Berkeley | Berkeley, California | 1868 | Public | 35,843 | Golden Bears | 32
row 4 : University of Colorado at Boulder | Boulder, Colorado | 1876 | Public | 29,709 | Buffaloes | 22
row 5 : University of Oregon | Eugene, Oregon | 1876 | Public | 23,389 | Ducks | 21
row 6 : Oregon State University | Corvallis, Oregon | 1868 | Public | 23,671 | Beavers | 3
row 7 : Stanford University | Stanford, California | 1891 | Private | 19,535 | Cardinal | 103
row 8 : University of California, Los Angeles | Los Angeles, California | 1919 | Public | 39,984 | Bruins | 109
row 9 : University of Southern California | Los Angeles, California | 1880 | Private | 33,747 | Trojans | 95
row 10 : University of Utah | Salt Lake City, Utah | 1850 | Public | 29,284 | Utes | 20
row 11 : University of Washington | Seattle, Washington | 1861 | Public | 47,361 | Huskies | 6
row 12 : Washington State University | Pullman, Washington | 1890 | Public | 26,101 | Cougars | 2 [/Table] Answer this question based on the above table: What is the highest enrollment for an unversity whose nickname is the Golden Bears and had fewer than 32 NCAA championships as of July 4, 2012?

Answer: none
[Table] header: 17th c. | American | British | Australian | Examples row 1 : ɐ | ə | ə | ə | amœba, anemone,
row 2 : e | i, ɪ, ə | i, ɪ, ə | i, ɪ, ə | Elysium, emeritus
row 3 : e | i, ɪ, ə | i, ɪ, ə | i, ɪ, ə | ænigma
row 4 : e | i, ɪ, ə | i, ɪ, ə | i, ɪ, ə | œsophagus
row 5 : ɛi | ai | aɪ | ɑe | idea
row 6 : ɛi | ai | aɪ | ɑe | hyperbola, hypothesis
row 7 : o | ɞu, ɞ, ə | əʊ, ə | əʉ, ə | Olympus [/Table] Answer this question based on the above table: What is 17th c., when American is "ə"?

Answer: ɐ
[Table] header: 17th c. | American | British | Australian | Examples row 1 : ɐ | ə | ə | ə | amœba, anemone,
row 2 : e | i, ɪ, ə | i, ɪ, ə | i, ɪ, ə | Elysium, emeritus
row 3 : e | i, ɪ, ə | i, ɪ, ə | i, ɪ, ə | ænigma
row 4 : e | i, ɪ, ə | i, ɪ, ə | i, ɪ, ə | œsophagus
row 5 : ɛi | ai | aɪ | ɑe | idea
row 6 : ɛi | ai | aɪ | ɑe | hyperbola, hypothesis
row 7 : o | ɞu, ɞ, ə | əʊ, ə | əʉ, ə | Olympus [/Table] Answer this question based on the above table: What is British, when 17th c. is "ɛi"?

Answer: aɪ, aɪ
[Table] header: 17th c. | American | British | Australian | Examples row 1 : ɐ | ə | ə | ə | amœba, anemone,
row 2 : e | i, ɪ, ə | i, ɪ, ə | i, ɪ, ə | Elysium, emeritus
row 3 : e | i, ɪ, ə | i, ɪ, ə | i, ɪ, ə | ænigma
row 4 : e | i, ɪ, ə | i, ɪ, ə | i, ɪ, ə | œsophagus
row 5 : ɛi | ai | aɪ | ɑe | idea
row 6 : ɛi | ai | aɪ | ɑe | hyperbola, hypothesis
row 7 : o | ɞu, ɞ, ə | əʊ, ə | əʉ, ə | Olympus [/Table] Answer this question based on the above table: What is 17th c., when Australian is "i, ɪ, ə", and when Examples is "œsophagus"?

Answer: e
[Table] header: 17th c. | American | British | Australian | Examples row 1 : ɐ | ə | ə | ə | amœba, anemone,
row 2 : e | i, ɪ, ə | i, ɪ, ə | i, ɪ, ə | Elysium, emeritus
row 3 : e | i, ɪ, ə | i, ɪ, ə | i, ɪ, ə | ænigma
row 4 : e | i, ɪ, ə | i, ɪ, ə | i, ɪ, ə | œsophagus
row 5 : ɛi | ai | aɪ | ɑe | idea
row 6 : ɛi | ai | aɪ | ɑe | hyperbola, hypothesis
row 7 : o | ɞu, ɞ, ə | əʊ, ə | əʉ, ə | Olympus [/Table] Answer this question based on the above table: What is Australian, when Examples is "amœba, anemone, ascesis"?

Answer: none
[Table] header: 17th c. | American | British | Australian | Examples row 1 : ɐ | ə | ə | ə | amœba, anemone,
row 2 : e | i, ɪ, ə | i, ɪ, ə | i, ɪ, ə | Elysium, emeritus
row 3 : e | i, ɪ, ə | i, ɪ, ə | i, ɪ, ə | ænigma
row 4 : e | i, ɪ, ə | i, ɪ, ə | i, ɪ, ə | œsophagus
row 5 : ɛi | ai | aɪ | ɑe | idea
row 6 : ɛi | ai | aɪ | ɑe | hyperbola, hypothesis
row 7 : o | ɞu, ɞ, ə | əʊ, ə | əʉ, ə | Olympus [/Table] Answer this question based on the above table: What is British, when Australian is "i, ɪ, ə", and when Examples is "œsophagus"?

Answer: i, ɪ, ə
[Table] header: 17th c. | American | British | Australian | Examples row 1 : ɐ | ə | ə | ə | amœba, anemone,
row 2 : e | i, ɪ, ə | i, ɪ, ə | i, ɪ, ə | Elysium, emeritus
row 3 : e | i, ɪ, ə | i, ɪ, ə | i, ɪ, ə | ænigma
row 4 : e | i, ɪ, ə | i, ɪ, ə | i, ɪ, ə | œsophagus
row 5 : ɛi | ai | aɪ | ɑe | idea
row 6 : ɛi | ai | aɪ | ɑe | hyperbola, hypothesis
row 7 : o | ɞu, ɞ, ə | əʊ, ə | əʉ, ə | Olympus [/Table] Answer this question based on the above table: What is Australian, when Examples is "elysium, emeritus, epitome, erotica"?

Answer: none
[Table] header: Name | Circuit | Date | Winning driver | Winning constructor | Report row 1 : Targa Florio | Madonie | 2 April | Giulio Masetti | Mercedes | Report
row 2 : Sardo Circuit | Cagliari | 30 May | Ernesto Ceirano | SCAT | Report
row 3 : Mugello Circuit | Mugello | 18 June | Alfieri Maserati | Isotta-Fra | Report
row 4 : Tourist Trophy | Isle of Man | 22 June | Jean Chassagne | Sunbeam | Report
row 5 : Coppa Montenero | Montenero | 27 August | Carlo Masetti | Bugatti | Report
row 6 : Garda Circuit | Salò | 15 October | Guido Meregalli | Diatto | Report
row 7 : Autumn Grand Prix | Monza | 22 October | André Dubonnet | Hispano-Suiza | Report
row 8 : Coppa Florio | Madonie | 4 November | André Boillot | Peugeot | Report [/Table] Answer this question based on the above table: Which report had a circuit of Cagliari?

Answer: Report
[Table] header: Name | Circuit | Date | Winning driver | Winning constructor | Report row 1 : Targa Florio | Madonie | 2 April | Giulio Masetti | Mercedes | Report
row 2 : Sardo Circuit | Cagliari | 30 May | Ernesto Ceirano | SCAT | Report
row 3 : Mugello Circuit | Mugello | 18 June | Alfieri Maserati | Isotta-Fra | Report
row 4 : Tourist Trophy | Isle of Man | 22 June | Jean Chassagne | Sunbeam | Report
row 5 : Coppa Montenero | Montenero | 27 August | Carlo Masetti | Bugatti | Report
row 6 : Garda Circuit | Salò | 15 October | Guido Meregalli | Diatto | Report
row 7 : Autumn Grand Prix | Monza | 22 October | André Dubonnet | Hispano-Suiza | Report
row 8 : Coppa Florio | Madonie | 4 November | André Boillot | Peugeot | Report [/Table] Answer this question based on the above table: Which name had the circuit Monza?

Answer: Autumn Grand Prix
[Table] header: Name | Circuit | Date | Winning driver | Winning constructor | Report row 1 : Targa Florio | Madonie | 2 April | Giulio Masetti | Mercedes | Report
row 2 : Sardo Circuit | Cagliari | 30 May | Ernesto Ceirano | SCAT | Report
row 3 : Mugello Circuit | Mugello | 18 June | Alfieri Maserati | Isotta-Fra | Report
row 4 : Tourist Trophy | Isle of Man | 22 June | Jean Chassagne | Sunbeam | Report
row 5 : Coppa Montenero | Montenero | 27 August | Carlo Masetti | Bugatti | Report
row 6 : Garda Circuit | Salò | 15 October | Guido Meregalli | Diatto | Report
row 7 : Autumn Grand Prix | Monza | 22 October | André Dubonnet | Hispano-Suiza | Report
row 8 : Coppa Florio | Madonie | 4 November | André Boillot | Peugeot | Report [/Table] Answer this question based on the above table: What day was the circuit Isle of Man?

Answer: 22 June
[Table] header: Team 1 | Agg. | Team 2 | 1st leg | 2nd leg row 1 : Metalurg | 0–1 | Milano | 0–1 | 0–0
row 2 : Vardar | 1–3 | Renova | 1–1 | 0–2
row 3 : Rabotnički | 3–0 | Nov Milenium | 1–0 | 2–0
row 4 : Drita | 1–5 | Miravci | 1–1 | 0–4
row 5 : Sileks | 2–0 | Belasica | 2–0 | 0–0
row 6 : Pelister | 6–1 | Horizont Turnovo | 4–0 | 2–1
row 7 : Pobeda | 1–5 | Makedonija | 1–1 | 0–4
row 8 : Škendija 79 | 5–1 | Ohrid 2004 | 3–0 | 2–1 [/Table] Answer this question based on the above table: What is the 2nd leg for the team 2 Milano?

Answer: 0–0
[Table] header: Player | Round | Pick | Position | NFL Club row 1 : John Hicks | 1 | 3 | Guard | New York Giants
row 2 : Rick Middleton | 1 | 13 | Linebacker | New Orleans Saints
row 3 : Randy Gradishar | 1 | 14 | Linebacker | Denver Broncos
row 4 : Morris Bradshaw | 4 | 93 | Wide Receiver | Oakland Raiders
row 5 : Gregg Hare | 8 | 203 | Quarterback | Buffalo Bills
row 6 : Dan Scott | 9 | 224 | Guard | Cleveland Browns
row 7 : Jim Kregel | 10 | 243 | Guard | Pittsburgh Steelers
row 8 : Vic Koegel | 12 | 304 | Linebacker | Atlanta Falcons [/Table] Answer this question based on the above table: What was the position of the player picked at 243?

Answer: Linebacker
[Table] header: Rank | Nation | Gold | Silver | Bronze | Total row 1 : 1 | Australia | 34 | 27 | 19 | 80
row 2 : 2 | England | 19 | 16 | 13 | 48
row 3 : 3 | New Zealand | 10 | 22 | 22 | 54
row 4 : 4 | Canada | 8 | 9 | 13 | 31
row 5 : 5 | South Africa | 8 | 4 | 8 | 20
row 6 : 6 | Scotland | 5 | 3 | 2 | 10
row 7 : 7 | Malaya | 2 | 1 | 1 | 4
row 8 : 8 | Fiji | 1 | 2 | 2 | 5
row 9 : 9 | Ceylon | 1 | 2 | 0 | 3
row 10 : 10 | Nigeria | 0 | 1 | 0 | 1
row 11 : 11 | Wales | 0 | 1 | 0 | 1
row 12 : 12 | Southern Rhodesia | 0 | 1 | 0 | 1
row 13 : Total | Total | 88 | 89 | 80 | 257 [/Table] Answer this question based on the above table: What is the total number of Silver, when Gold is "1", and when Bronze is less than 0?

Answer: 0.0
[Table] header: Rank | Nation | Gold | Silver | Bronze | Total row 1 : 1 | Australia | 34 | 27 | 19 | 80
row 2 : 2 | England | 19 | 16 | 13 | 48
row 3 : 3 | New Zealand | 10 | 22 | 22 | 54
row 4 : 4 | Canada | 8 | 9 | 13 | 31
row 5 : 5 | South Africa | 8 | 4 | 8 | 20
row 6 : 6 | Scotland | 5 | 3 | 2 | 10
row 7 : 7 | Malaya | 2 | 1 | 1 | 4
row 8 : 8 | Fiji | 1 | 2 | 2 | 5
row 9 : 9 | Ceylon | 1 | 2 | 0 | 3
row 10 : 10 | Nigeria | 0 | 1 | 0 | 1
row 11 : 11 | Wales | 0 | 1 | 0 | 1
row 12 : 12 | Southern Rhodesia | 0 | 1 | 0 | 1
row 13 : Total | Total | 88 | 89 | 80 | 257 [/Table] Answer this question based on the above table: What is the highest Bronze, when Nation is "South Africa", and when Total is less than 20?

Answer: none
[Table] header: Rank | Nation | Gold | Silver | Bronze | Total row 1 : 1 | Australia | 34 | 27 | 19 | 80
row 2 : 2 | England | 19 | 16 | 13 | 48
row 3 : 3 | New Zealand | 10 | 22 | 22 | 54
row 4 : 4 | Canada | 8 | 9 | 13 | 31
row 5 : 5 | South Africa | 8 | 4 | 8 | 20
row 6 : 6 | Scotland | 5 | 3 | 2 | 10
row 7 : 7 | Malaya | 2 | 1 | 1 | 4
row 8 : 8 | Fiji | 1 | 2 | 2 | 5
row 9 : 9 | Ceylon | 1 | 2 | 0 | 3
row 10 : 10 | Nigeria | 0 | 1 | 0 | 1
row 11 : 11 | Wales | 0 | 1 | 0 | 1
row 12 : 12 | Southern Rhodesia | 0 | 1 | 0 | 1
row 13 : Total | Total | 88 | 89 | 80 | 257 [/Table] Answer this question based on the above table: What is the highest Silver, when Gold is "8", and when Total is greater than 31?

Answer: none
[Table] header: Rank | Nation | Gold | Silver | Bronze | Total row 1 : 1 | Australia | 34 | 27 | 19 | 80
row 2 : 2 | England | 19 | 16 | 13 | 48
row 3 : 3 | New Zealand | 10 | 22 | 22 | 54
row 4 : 4 | Canada | 8 | 9 | 13 | 31
row 5 : 5 | South Africa | 8 | 4 | 8 | 20
row 6 : 6 | Scotland | 5 | 3 | 2 | 10
row 7 : 7 | Malaya | 2 | 1 | 1 | 4
row 8 : 8 | Fiji | 1 | 2 | 2 | 5
row 9 : 9 | Ceylon | 1 | 2 | 0 | 3
row 10 : 10 | Nigeria | 0 | 1 | 0 | 1
row 11 : 11 | Wales | 0 | 1 | 0 | 1
row 12 : 12 | Southern Rhodesia | 0 | 1 | 0 | 1
row 13 : Total | Total | 88 | 89 | 80 | 257 [/Table] Answer this question based on the above table: What is the total number of Silver, when Gold is less than 34, when Rank is "6", and when Total is greater than 10?

Answer: 0.0
[Table] header: Rank | Nation | Gold | Silver | Bronze | Total row 1 : 1 | Australia | 34 | 27 | 19 | 80
row 2 : 2 | England | 19 | 16 | 13 | 48
row 3 : 3 | New Zealand | 10 | 22 | 22 | 54
row 4 : 4 | Canada | 8 | 9 | 13 | 31
row 5 : 5 | South Africa | 8 | 4 | 8 | 20
row 6 : 6 | Scotland | 5 | 3 | 2 | 10
row 7 : 7 | Malaya | 2 | 1 | 1 | 4
row 8 : 8 | Fiji | 1 | 2 | 2 | 5
row 9 : 9 | Ceylon | 1 | 2 | 0 | 3
row 10 : 10 | Nigeria | 0 | 1 | 0 | 1
row 11 : 11 | Wales | 0 | 1 | 0 | 1
row 12 : 12 | Southern Rhodesia | 0 | 1 | 0 | 1
row 13 : Total | Total | 88 | 89 | 80 | 257 [/Table] Answer this question based on the above table: What is Bronze, when Silver is less than 89, and when Total is "4"?

Answer: 1.0
[Table] header: Model | Chassis code | Production time | Number built | Engine row 1 : 250S | W108.012 | 07/65 - 03/69 | 74.677 | 2.5L M108 I6
row 2 : 250SE | W108.014 | 08/65 - 01/68 | 55.181 | 2.5L M129 I6
row 3 : 300SEb | W108.015 | 08/65 - 12/67 | 2.737 | 3.0L M189 I6
row 4 : 280S | W108.016 | 11/67 - 09/72 | 93.666 | 2.8L M130 I6
row 5 : 280SE | W108.018 | 11/67 - 09/72 | 91.051 | 2.8L M130 I6
row 6 : 280SEL | W108.019 | 01/68 - 04/71 | 8.250 | 2.8L M130 I6
row 7 : 280SE 3.5 | W108.057 | 07/70 - 09/72 | 11.309 | 3.5L M116 V8
row 8 : 280SEL 3.5 | W108.058 | 06/70 - 08/72 | 951 | 3.5L M116 V8
row 9 : 280SE 4.5 | W108.067 | 04/71 - 11/72 | 13.527 | 4.5L M117 V8
row 10 : 280SEL 4.5 | W108.068 | 05/71 - 11/72 | 8.173 | 4.5L M117 V8 [/Table] Answer this question based on the above table: What's the production time with more than 2.737 built and a 280s model?

Answer: 11/67 - 09/72
[Table] header: Model | Chassis code | Production time | Number built | Engine row 1 : 250S | W108.012 | 07/65 - 03/69 | 74.677 | 2.5L M108 I6
row 2 : 250SE | W108.014 | 08/65 - 01/68 | 55.181 | 2.5L M129 I6
row 3 : 300SEb | W108.015 | 08/65 - 12/67 | 2.737 | 3.0L M189 I6
row 4 : 280S | W108.016 | 11/67 - 09/72 | 93.666 | 2.8L M130 I6
row 5 : 280SE | W108.018 | 11/67 - 09/72 | 91.051 | 2.8L M130 I6
row 6 : 280SEL | W108.019 | 01/68 - 04/71 | 8.250 | 2.8L M130 I6
row 7 : 280SE 3.5 | W108.057 | 07/70 - 09/72 | 11.309 | 3.5L M116 V8
row 8 : 280SEL 3.5 | W108.058 | 06/70 - 08/72 | 951 | 3.5L M116 V8
row 9 : 280SE 4.5 | W108.067 | 04/71 - 11/72 | 13.527 | 4.5L M117 V8
row 10 : 280SEL 4.5 | W108.068 | 05/71 - 11/72 | 8.173 | 4.5L M117 V8 [/Table] Answer this question based on the above table: What's the total number built with a chassis code of w108.057?

Answer: 1.0
[Table] header: Model | Chassis code | Production time | Number built | Engine row 1 : 250S | W108.012 | 07/65 - 03/69 | 74.677 | 2.5L M108 I6
row 2 : 250SE | W108.014 | 08/65 - 01/68 | 55.181 | 2.5L M129 I6
row 3 : 300SEb | W108.015 | 08/65 - 12/67 | 2.737 | 3.0L M189 I6
row 4 : 280S | W108.016 | 11/67 - 09/72 | 93.666 | 2.8L M130 I6
row 5 : 280SE | W108.018 | 11/67 - 09/72 | 91.051 | 2.8L M130 I6
row 6 : 280SEL | W108.019 | 01/68 - 04/71 | 8.250 | 2.8L M130 I6
row 7 : 280SE 3.5 | W108.057 | 07/70 - 09/72 | 11.309 | 3.5L M116 V8
row 8 : 280SEL 3.5 | W108.058 | 06/70 - 08/72 | 951 | 3.5L M116 V8
row 9 : 280SE 4.5 | W108.067 | 04/71 - 11/72 | 13.527 | 4.5L M117 V8
row 10 : 280SEL 4.5 | W108.068 | 05/71 - 11/72 | 8.173 | 4.5L M117 V8 [/Table] Answer this question based on the above table: What's the chassis code for the 280s model?

Answer: W108.016
[Table] header: Rank | Athlete | Qiangshu | Jianshu | Total row 1 : 1 | Liu Yang ( HKG ) | 9.70 | 9.70 | 19.40
row 2 : 2 | Lim Yew Fai ( MAS ) | 9.66 | 9.66 | 19.32
row 3 : 3 | Nguyen Huy Thanh ( V | 9.66 | 9.65 | 19.31
row 4 : 4 | Gogi Nebulana ( INA | 9.61 | 9.55 | 19.16
row 5 : 5 | Colvin Wang ( USA ) | 9.52 | 9.54 | 19.06
row 6 : 6 | Richard Devine ( GBR ) | 9.58 | 9.44 | 19.02
row 7 : 7 | Kweon Heung-Seok ( | 9.46 | 9.51 | 18.97
row 8 : 8 | Raul Estevez ( ESP ) | 9.19 | 9.48 | 18.67
row 9 : 9 | Pierre Rouviere ( FRA ) | 9.21 | 9.32 | 18.53
row 10 : 10 | Bryan Adam Son ( RSA ) | 8.64 | 8.97 | 17.61 [/Table] Answer this question based on the above table: What is the lowest Jianshu number for Liu Yang ( hkg )?

Answer: 9.7
[Table] header: Rank | Athlete | Qiangshu | Jianshu | Total row 1 : 1 | Liu Yang ( HKG ) | 9.70 | 9.70 | 19.40
row 2 : 2 | Lim Yew Fai ( MAS ) | 9.66 | 9.66 | 19.32
row 3 : 3 | Nguyen Huy Thanh ( V | 9.66 | 9.65 | 19.31
row 4 : 4 | Gogi Nebulana ( INA | 9.61 | 9.55 | 19.16
row 5 : 5 | Colvin Wang ( USA ) | 9.52 | 9.54 | 19.06
row 6 : 6 | Richard Devine ( GBR ) | 9.58 | 9.44 | 19.02
row 7 : 7 | Kweon Heung-Seok ( | 9.46 | 9.51 | 18.97
row 8 : 8 | Raul Estevez ( ESP ) | 9.19 | 9.48 | 18.67
row 9 : 9 | Pierre Rouviere ( FRA ) | 9.21 | 9.32 | 18.53
row 10 : 10 | Bryan Adam Son ( RSA ) | 8.64 | 8.97 | 17.61 [/Table] Answer this question based on the above table: What is the lowest rank when Jianshu is smaller than 9.66, for Richard Devine ( gbr ), with a total smaller than 19.02?

Answer: none
[Table] header: Rank | Athlete | Qiangshu | Jianshu | Total row 1 : 1 | Liu Yang ( HKG ) | 9.70 | 9.70 | 19.40
row 2 : 2 | Lim Yew Fai ( MAS ) | 9.66 | 9.66 | 19.32
row 3 : 3 | Nguyen Huy Thanh ( V | 9.66 | 9.65 | 19.31
row 4 : 4 | Gogi Nebulana ( INA | 9.61 | 9.55 | 19.16
row 5 : 5 | Colvin Wang ( USA ) | 9.52 | 9.54 | 19.06
row 6 : 6 | Richard Devine ( GBR ) | 9.58 | 9.44 | 19.02
row 7 : 7 | Kweon Heung-Seok ( | 9.46 | 9.51 | 18.97
row 8 : 8 | Raul Estevez ( ESP ) | 9.19 | 9.48 | 18.67
row 9 : 9 | Pierre Rouviere ( FRA ) | 9.21 | 9.32 | 18.53
row 10 : 10 | Bryan Adam Son ( RSA ) | 8.64 | 8.97 | 17.61 [/Table] Answer this question based on the above table: What is the number of Jianshu when the total is more than 19.16, for Nguyen Huy Thanh ( vie ), and Qiangshu is more than 9.66?

Answer: 0.0
[Table] header: Rank | Athlete | Qiangshu | Jianshu | Total row 1 : 1 | Liu Yang ( HKG ) | 9.70 | 9.70 | 19.40
row 2 : 2 | Lim Yew Fai ( MAS ) | 9.66 | 9.66 | 19.32
row 3 : 3 | Nguyen Huy Thanh ( V | 9.66 | 9.65 | 19.31
row 4 : 4 | Gogi Nebulana ( INA | 9.61 | 9.55 | 19.16
row 5 : 5 | Colvin Wang ( USA ) | 9.52 | 9.54 | 19.06
row 6 : 6 | Richard Devine ( GBR ) | 9.58 | 9.44 | 19.02
row 7 : 7 | Kweon Heung-Seok ( | 9.46 | 9.51 | 18.97
row 8 : 8 | Raul Estevez ( ESP ) | 9.19 | 9.48 | 18.67
row 9 : 9 | Pierre Rouviere ( FRA ) | 9.21 | 9.32 | 18.53
row 10 : 10 | Bryan Adam Son ( RSA ) | 8.64 | 8.97 | 17.61 [/Table] Answer this question based on the above table: What is the number of Qiangshu when rank is less than 10, with a total of 18.97, and Jianshu is larger than 9.51?

Answer: 0.0
[Table] header: Place | Player | Country | Score | To par row 1 : T1 | Michael Allen | United States | 66 | –6
row 2 : T1 | Greg Norman | Australia | 66 | –6
row 3 : 3 | Nick Faldo | England | 67 | –5
row 4 : 4 | Ian Baker-Finch | Australia | 68 | –4
row 5 : 4 | Peter Jacobsen | United States | 68 | –4
row 6 : 4 | Christy O'Connor Jnr | Ireland | 68 | –4
row 7 : 4 | Craig Parry | Australia | 68 | –4
row 8 : 4 | Martin Poxon | England | 68 | –4
row 9 : 4 | Payne Stewart | United States | 68 | –4
row 10 : 4 | Sam Torrance | Scotland | 68 | –4
row 11 : 4 | Ian Woosnam | Wales | 68 | –4 [/Table] Answer this question based on the above table: Can you tell me the Place that has the Country of australia, and the Player of ian baker-finch?

Answer: 4.0
[Table] header: Place | Player | Country | Score | To par row 1 : T1 | Michael Allen | United States | 66 | –6
row 2 : T1 | Greg Norman | Australia | 66 | –6
row 3 : 3 | Nick Faldo | England | 67 | –5
row 4 : 4 | Ian Baker-Finch | Australia | 68 | –4
row 5 : 4 | Peter Jacobsen | United States | 68 | –4
row 6 : 4 | Christy O'Connor Jnr | Ireland | 68 | –4
row 7 : 4 | Craig Parry | Australia | 68 | –4
row 8 : 4 | Martin Poxon | England | 68 | –4
row 9 : 4 | Payne Stewart | United States | 68 | –4
row 10 : 4 | Sam Torrance | Scotland | 68 | –4
row 11 : 4 | Ian Woosnam | Wales | 68 | –4 [/Table] Answer this question based on the above table: Can you tell me the Place that has the Score of 68, and the Player of christy o'connor jnr?

Answer: 4.0
[Table] header: Place | Player | Country | Score | To par row 1 : T1 | Michael Allen | United States | 66 | –6
row 2 : T1 | Greg Norman | Australia | 66 | –6
row 3 : 3 | Nick Faldo | England | 67 | –5
row 4 : 4 | Ian Baker-Finch | Australia | 68 | –4
row 5 : 4 | Peter Jacobsen | United States | 68 | –4
row 6 : 4 | Christy O'Connor Jnr | Ireland | 68 | –4
row 7 : 4 | Craig Parry | Australia | 68 | –4
row 8 : 4 | Martin Poxon | England | 68 | –4
row 9 : 4 | Payne Stewart | United States | 68 | –4
row 10 : 4 | Sam Torrance | Scotland | 68 | –4
row 11 : 4 | Ian Woosnam | Wales | 68 | –4 [/Table] Answer this question based on the above table: Can you tell me the Player that has the Score larger than 67?

Answer: Ian Baker-Finch, Peter Jacobsen, Christy O'Connor Jnr, Craig Parry, Martin Poxon, Payne Stewart, Sam Torrance, Ian Woosnam
[Table] header: Tournament | 2008 | 2009 | 2010 | 2011 | 2012 row 1 : Grand Slam Tournaments | Grand Slam Tournaments | Grand Slam Tournaments | Grand Slam Tournaments | Grand Slam Tournaments | Grand Slam Tournaments
row 2 : Australian Open | A | 1R | A | 2R | 1R
row 3 : French Open | 1R | 1R | Q3 | 1R | 1R
row 4 : Wimbledon | A | 1R | Q3 | 2R | Q1
row 5 : US Open | A | Q2 | 2R | 1R | Q3
row 6 : Win–Loss | 0–1 | 0–3 | 1–1 | 2–4 | 0–2
row 7 : ATP Masters Series | ATP Masters Series | ATP Masters Series | ATP Masters Series | ATP Masters Series | ATP Masters Series
row 8 : Indian Wells Masters | A | A | A | 1R | A
row 9 : Miami Masters | A | A | A | 1R | A
row 10 : Monte Carlo Masters | A | A | A | A | A
row 11 : Rome Masters | A | A | A | 1R | A
row 12 : Madrid Masters | A | A | A | 2R | A
row 13 : Canada Masters | A | A | A | 1R | A
row 14 : Cincinnati Masters | A | A | A | Q2 | A
row 15 : Shanghai Masters | NMS | A | A | A | A
row 16 : Paris Masters | 1R | A | A | 2R | A
row 17 : Win–Loss | 0–1 | 0–0 | 0–0 | 2–6 | 0–0
row 18 : Career statistics | Career statistics | Career statistics | Career statistics | Career statistics | Career statistics
row 19 : Titles–Finals | 0–0 | 0–0 | 0–0 | 0–0 | 0–0
row 20 : Year-End Ranking | 134 | 179 | 83 | 82 | 188 [/Table] Answer this question based on the above table: What is the 2011 value with a 134 in 2008?

Answer: 82.0
[Table] header: Tournament | 2008 | 2009 | 2010 | 2011 | 2012 row 1 : Grand Slam Tournaments | Grand Slam Tournaments | Grand Slam Tournaments | Grand Slam Tournaments | Grand Slam Tournaments | Grand Slam Tournaments
row 2 : Australian Open | A | 1R | A | 2R | 1R
row 3 : French Open | 1R | 1R | Q3 | 1R | 1R
row 4 : Wimbledon | A | 1R | Q3 | 2R | Q1
row 5 : US Open | A | Q2 | 2R | 1R | Q3
row 6 : Win–Loss | 0–1 | 0–3 | 1–1 | 2–4 | 0–2
row 7 : ATP Masters Series | ATP Masters Series | ATP Masters Series | ATP Masters Series | ATP Masters Series | ATP Masters Series
row 8 : Indian Wells Masters | A | A | A | 1R | A
row 9 : Miami Masters | A | A | A | 1R | A
row 10 : Monte Carlo Masters | A | A | A | A | A
row 11 : Rome Masters | A | A | A | 1R | A
row 12 : Madrid Masters | A | A | A | 2R | A
row 13 : Canada Masters | A | A | A | 1R | A
row 14 : Cincinnati Masters | A | A | A | Q2 | A
row 15 : Shanghai Masters | NMS | A | A | A | A
row 16 : Paris Masters | 1R | A | A | 2R | A
row 17 : Win–Loss | 0–1 | 0–0 | 0–0 | 2–6 | 0–0
row 18 : Career statistics | Career statistics | Career statistics | Career statistics | Career statistics | Career statistics
row 19 : Titles–Finals | 0–0 | 0–0 | 0–0 | 0–0 | 0–0
row 20 : Year-End Ranking | 134 | 179 | 83 | 82 | 188 [/Table] Answer this question based on the above table: What is the 2009 value with A in 2012 and q2 in 2011?

Answer: A
[Table] header: Tournament | 2008 | 2009 | 2010 | 2011 | 2012 row 1 : Grand Slam Tournaments | Grand Slam Tournaments | Grand Slam Tournaments | Grand Slam Tournaments | Grand Slam Tournaments | Grand Slam Tournaments
row 2 : Australian Open | A | 1R | A | 2R | 1R
row 3 : French Open | 1R | 1R | Q3 | 1R | 1R
row 4 : Wimbledon | A | 1R | Q3 | 2R | Q1
row 5 : US Open | A | Q2 | 2R | 1R | Q3
row 6 : Win–Loss | 0–1 | 0–3 | 1–1 | 2–4 | 0–2
row 7 : ATP Masters Series | ATP Masters Series | ATP Masters Series | ATP Masters Series | ATP Masters Series | ATP Masters Series
row 8 : Indian Wells Masters | A | A | A | 1R | A
row 9 : Miami Masters | A | A | A | 1R | A
row 10 : Monte Carlo Masters | A | A | A | A | A
row 11 : Rome Masters | A | A | A | 1R | A
row 12 : Madrid Masters | A | A | A | 2R | A
row 13 : Canada Masters | A | A | A | 1R | A
row 14 : Cincinnati Masters | A | A | A | Q2 | A
row 15 : Shanghai Masters | NMS | A | A | A | A
row 16 : Paris Masters | 1R | A | A | 2R | A
row 17 : Win–Loss | 0–1 | 0–0 | 0–0 | 2–6 | 0–0
row 18 : Career statistics | Career statistics | Career statistics | Career statistics | Career statistics | Career statistics
row 19 : Titles–Finals | 0–0 | 0–0 | 0–0 | 0–0 | 0–0
row 20 : Year-End Ranking | 134 | 179 | 83 | 82 | 188 [/Table] Answer this question based on the above table: What is the 2011 value for the paris masters tournament with 1r in 2008?

Answer: 2R
[Table] header: Tournament | 2008 | 2009 | 2010 | 2011 | 2012 row 1 : Grand Slam Tournaments | Grand Slam Tournaments | Grand Slam Tournaments | Grand Slam Tournaments | Grand Slam Tournaments | Grand Slam Tournaments
row 2 : Australian Open | A | 1R | A | 2R | 1R
row 3 : French Open | 1R | 1R | Q3 | 1R | 1R
row 4 : Wimbledon | A | 1R | Q3 | 2R | Q1
row 5 : US Open | A | Q2 | 2R | 1R | Q3
row 6 : Win–Loss | 0–1 | 0–3 | 1–1 | 2–4 | 0–2
row 7 : ATP Masters Series | ATP Masters Series | ATP Masters Series | ATP Masters Series | ATP Masters Series | ATP Masters Series
row 8 : Indian Wells Masters | A | A | A | 1R | A
row 9 : Miami Masters | A | A | A | 1R | A
row 10 : Monte Carlo Masters | A | A | A | A | A
row 11 : Rome Masters | A | A | A | 1R | A
row 12 : Madrid Masters | A | A | A | 2R | A
row 13 : Canada Masters | A | A | A | 1R | A
row 14 : Cincinnati Masters | A | A | A | Q2 | A
row 15 : Shanghai Masters | NMS | A | A | A | A
row 16 : Paris Masters | 1R | A | A | 2R | A
row 17 : Win–Loss | 0–1 | 0–0 | 0–0 | 2–6 | 0–0
row 18 : Career statistics | Career statistics | Career statistics | Career statistics | Career statistics | Career statistics
row 19 : Titles–Finals | 0–0 | 0–0 | 0–0 | 0–0 | 0–0
row 20 : Year-End Ranking | 134 | 179 | 83 | 82 | 188 [/Table] Answer this question based on the above table: What is the 2011 value with nms in 2008?

Answer: A
[Table] header: Position | Club | Played | Points | Wins | Draws | Losses | Goals for | Goals against | Goal Difference row 1 : 1 | Deportivo La Coruña | 30 | 43 | 18 | 7 | 5 | 53 | 29 | +24
row 2 : 2 | Real Valladolid | 30 | 41 | 17 | 7 | 6 | 48 | 27 | +21
row 3 : 3 | RC Celta de Vigo | 30 | 36 | 15 | 6 | 9 | 57 | 33 | +24
row 4 : 4 | AD Rayo Vallecano | 30 | 36 | 15 | 6 | 9 | 44 | 39 | +5
row 5 : 5 | Real Gijón CF | 30 | 34 | 13 | 8 | 9 | 47 | 38 | +9
row 6 : 6 | Real Oviedo CF | 30 | 32 | 12 | 8 | 10 | 43 | 29 | +14
row 7 : 7 | Club Ferrol | 30 | 32 | 13 | 6 | 11 | 42 | 37 | +5
row 8 : 8 | Burgos CF | 30 | 32 | 11 | 10 | 9 | 34 | 35 | -1
row 9 : 9 | CF Badalona | 30 | 30 | 12 | 6 | 12 | 44 | 30 | +14
row 10 : 10 | UP Langreo | 30 | 28 | 12 | 4 | 14 | 32 | 37 | -5
row 11 : 11 | Real Santander | 30 | 27 | 11 | 5 | 14 | 39 | 38 | +1
row 12 : 12 | UD Lérida | 30 | 24 | 8 | 8 | 14 | 25 | 51 | -26
row 13 : 13 | CD Badajoz | 30 | 22 | 10 | 2 | 18 | 31 | 52 | -21
row 14 : 14 | CD Europa | 30 | 21 | 8 | 5 | 17 | 32 | 56 | -24
row 15 : 15 | CA Osasuna | 30 | 21 | 7 | 7 | 16 | 31 | 48 | -17
row 16 : 16 | Gimnástica Torrelave | 30 | 21 | 7 | 7 | 16 | 25 | 48 | -23 [/Table] Answer this question based on the above table: Which Draws have a Club of burgos cf, and a Position larger than 8?

Answer: none
[Table] header: Position | Club | Played | Points | Wins | Draws | Losses | Goals for | Goals against | Goal Difference row 1 : 1 | Deportivo La Coruña | 30 | 43 | 18 | 7 | 5 | 53 | 29 | +24
row 2 : 2 | Real Valladolid | 30 | 41 | 17 | 7 | 6 | 48 | 27 | +21
row 3 : 3 | RC Celta de Vigo | 30 | 36 | 15 | 6 | 9 | 57 | 33 | +24
row 4 : 4 | AD Rayo Vallecano | 30 | 36 | 15 | 6 | 9 | 44 | 39 | +5
row 5 : 5 | Real Gijón CF | 30 | 34 | 13 | 8 | 9 | 47 | 38 | +9
row 6 : 6 | Real Oviedo CF | 30 | 32 | 12 | 8 | 10 | 43 | 29 | +14
row 7 : 7 | Club Ferrol | 30 | 32 | 13 | 6 | 11 | 42 | 37 | +5
row 8 : 8 | Burgos CF | 30 | 32 | 11 | 10 | 9 | 34 | 35 | -1
row 9 : 9 | CF Badalona | 30 | 30 | 12 | 6 | 12 | 44 | 30 | +14
row 10 : 10 | UP Langreo | 30 | 28 | 12 | 4 | 14 | 32 | 37 | -5
row 11 : 11 | Real Santander | 30 | 27 | 11 | 5 | 14 | 39 | 38 | +1
row 12 : 12 | UD Lérida | 30 | 24 | 8 | 8 | 14 | 25 | 51 | -26
row 13 : 13 | CD Badajoz | 30 | 22 | 10 | 2 | 18 | 31 | 52 | -21
row 14 : 14 | CD Europa | 30 | 21 | 8 | 5 | 17 | 32 | 56 | -24
row 15 : 15 | CA Osasuna | 30 | 21 | 7 | 7 | 16 | 31 | 48 | -17
row 16 : 16 | Gimnástica Torrelave | 30 | 21 | 7 | 7 | 16 | 25 | 48 | -23 [/Table] Answer this question based on the above table: Which Played has a Goal Difference larger than 24?

Answer: none
[Table] header: Position | Club | Played | Points | Wins | Draws | Losses | Goals for | Goals against | Goal Difference row 1 : 1 | Deportivo La Coruña | 30 | 43 | 18 | 7 | 5 | 53 | 29 | +24
row 2 : 2 | Real Valladolid | 30 | 41 | 17 | 7 | 6 | 48 | 27 | +21
row 3 : 3 | RC Celta de Vigo | 30 | 36 | 15 | 6 | 9 | 57 | 33 | +24
row 4 : 4 | AD Rayo Vallecano | 30 | 36 | 15 | 6 | 9 | 44 | 39 | +5
row 5 : 5 | Real Gijón CF | 30 | 34 | 13 | 8 | 9 | 47 | 38 | +9
row 6 : 6 | Real Oviedo CF | 30 | 32 | 12 | 8 | 10 | 43 | 29 | +14
row 7 : 7 | Club Ferrol | 30 | 32 | 13 | 6 | 11 | 42 | 37 | +5
row 8 : 8 | Burgos CF | 30 | 32 | 11 | 10 | 9 | 34 | 35 | -1
row 9 : 9 | CF Badalona | 30 | 30 | 12 | 6 | 12 | 44 | 30 | +14
row 10 : 10 | UP Langreo | 30 | 28 | 12 | 4 | 14 | 32 | 37 | -5
row 11 : 11 | Real Santander | 30 | 27 | 11 | 5 | 14 | 39 | 38 | +1
row 12 : 12 | UD Lérida | 30 | 24 | 8 | 8 | 14 | 25 | 51 | -26
row 13 : 13 | CD Badajoz | 30 | 22 | 10 | 2 | 18 | 31 | 52 | -21
row 14 : 14 | CD Europa | 30 | 21 | 8 | 5 | 17 | 32 | 56 | -24
row 15 : 15 | CA Osasuna | 30 | 21 | 7 | 7 | 16 | 31 | 48 | -17
row 16 : 16 | Gimnástica Torrelave | 30 | 21 | 7 | 7 | 16 | 25 | 48 | -23 [/Table] Answer this question based on the above table: Which Goals against has Wins of 13, and Goals for larger than 42, and more than 9 Losses?

Answer: none
[Table] header: Position | Club | Played | Points | Wins | Draws | Losses | Goals for | Goals against | Goal Difference row 1 : 1 | Deportivo La Coruña | 30 | 43 | 18 | 7 | 5 | 53 | 29 | +24
row 2 : 2 | Real Valladolid | 30 | 41 | 17 | 7 | 6 | 48 | 27 | +21
row 3 : 3 | RC Celta de Vigo | 30 | 36 | 15 | 6 | 9 | 57 | 33 | +24
row 4 : 4 | AD Rayo Vallecano | 30 | 36 | 15 | 6 | 9 | 44 | 39 | +5
row 5 : 5 | Real Gijón CF | 30 | 34 | 13 | 8 | 9 | 47 | 38 | +9
row 6 : 6 | Real Oviedo CF | 30 | 32 | 12 | 8 | 10 | 43 | 29 | +14
row 7 : 7 | Club Ferrol | 30 | 32 | 13 | 6 | 11 | 42 | 37 | +5
row 8 : 8 | Burgos CF | 30 | 32 | 11 | 10 | 9 | 34 | 35 | -1
row 9 : 9 | CF Badalona | 30 | 30 | 12 | 6 | 12 | 44 | 30 | +14
row 10 : 10 | UP Langreo | 30 | 28 | 12 | 4 | 14 | 32 | 37 | -5
row 11 : 11 | Real Santander | 30 | 27 | 11 | 5 | 14 | 39 | 38 | +1
row 12 : 12 | UD Lérida | 30 | 24 | 8 | 8 | 14 | 25 | 51 | -26
row 13 : 13 | CD Badajoz | 30 | 22 | 10 | 2 | 18 | 31 | 52 | -21
row 14 : 14 | CD Europa | 30 | 21 | 8 | 5 | 17 | 32 | 56 | -24
row 15 : 15 | CA Osasuna | 30 | 21 | 7 | 7 | 16 | 31 | 48 | -17
row 16 : 16 | Gimnástica Torrelave | 30 | 21 | 7 | 7 | 16 | 25 | 48 | -23 [/Table] Answer this question based on the above table: How many draws have less than 8 wins, and 31 goals for?

Answer: 7.0
[Table] header: Team | Wins | Losses | Points | WPct. | G.F. | G.A. | Assists | Penalties | P.I.M. row 1 : Team | Wins | Losses | Points | WPct. | G.F. | G.A. | Assists | Penalties | P.I.M.
row 2 : Germany | 5 | 0 | 10 | 1 | 67 | 25 | 29 | 34 | 25
row 3 : Scotland | 3 | 2 | 6 | 0.6 | 55 | 36 | 13 | 38 | 31
row 4 : Wales | 3 | 2 | 6 | 0.6 | 46 | 31 | 8 | 65 | 54
row 5 : Bermuda | 3 | 2 | 6 | 0.6 | 40 | 42 | 5 | 51 | 38.5
row 6 : South Korea | 1 | 4 | 2 | 0.2 | 27 | 61 | 3 | 50 | 40
row 7 : Finland | 0 | 5 | 0 | 0 | 18 | 58 | 1 | 34 | 28 [/Table] Answer this question based on the above table: How many penalties were there in the game with a G.F. of 40?

Answer: 51.0
[Table] header: Team | Wins | Losses | Points | WPct. | G.F. | G.A. | Assists | Penalties | P.I.M. row 1 : Team | Wins | Losses | Points | WPct. | G.F. | G.A. | Assists | Penalties | P.I.M.
row 2 : Germany | 5 | 0 | 10 | 1 | 67 | 25 | 29 | 34 | 25
row 3 : Scotland | 3 | 2 | 6 | 0.6 | 55 | 36 | 13 | 38 | 31
row 4 : Wales | 3 | 2 | 6 | 0.6 | 46 | 31 | 8 | 65 | 54
row 5 : Bermuda | 3 | 2 | 6 | 0.6 | 40 | 42 | 5 | 51 | 38.5
row 6 : South Korea | 1 | 4 | 2 | 0.2 | 27 | 61 | 3 | 50 | 40
row 7 : Finland | 0 | 5 | 0 | 0 | 18 | 58 | 1 | 34 | 28 [/Table] Answer this question based on the above table: What's the P.I.M. for the G.F. of 55?

Answer: 31.0
[Table] header: Team | Wins | Losses | Points | WPct. | G.F. | G.A. | Assists | Penalties | P.I.M. row 1 : Team | Wins | Losses | Points | WPct. | G.F. | G.A. | Assists | Penalties | P.I.M.
row 2 : Germany | 5 | 0 | 10 | 1 | 67 | 25 | 29 | 34 | 25
row 3 : Scotland | 3 | 2 | 6 | 0.6 | 55 | 36 | 13 | 38 | 31
row 4 : Wales | 3 | 2 | 6 | 0.6 | 46 | 31 | 8 | 65 | 54
row 5 : Bermuda | 3 | 2 | 6 | 0.6 | 40 | 42 | 5 | 51 | 38.5
row 6 : South Korea | 1 | 4 | 2 | 0.2 | 27 | 61 | 3 | 50 | 40
row 7 : Finland | 0 | 5 | 0 | 0 | 18 | 58 | 1 | 34 | 28 [/Table] Answer this question based on the above table: What's the G.A. when there were 2 losses and Scotland played?

Answer: 36.0
[Table] header: Year | Venue | Position | Event | Notes row 1 : 1997 | Bridgetown, Barbados | 6th | 800 m | 2:25.66
row 2 : 1997 | Bridgetown, Barbados | 7th | 1500 m | 5:13.83
row 3 : 2000 | San Juan, Puerto Rico | 6th | 800 m | 2:14.18
row 4 : 2000 | San Juan, Puerto Rico | 2nd | 4x400 m | 3:40.24
row 5 : 2003 | St. George's, Grenada | 1st | 800 m | 2:04.12
row 6 : 2003 | St. George's, Grenada | 2nd | 4x400 m | 3:32.99
row 7 : 2003 | Santo Domingo, Dominican Republic | 9th (h) | 800 m | 2:04.22
row 8 : 2005 | Nassau, Bahamas | 1st | 800 m | 2:03.56
row 9 : 2005 | Helsinki, Finland | 23rd (h) | 800 m | 2:02.50
row 10 : 2006 | Melbourne, Australia | 8th | 800 m | 2:01.96
row 11 : 2008 | Beijing, China | 21st (sf) | 800 m | 2:01.84
row 12 : 2009 | Berlin, Germany | 28th (sf) | 800 m | 2:04.55
row 13 : 2011 | Mayagüez, Puerto Rico | 4th | 800 m | 2:03.56
row 14 : 2012 | London, United Kingdom | 16th (sf) | 800 m | 2:00.68 [/Table] Answer this question based on the above table: Which venue has 2:04.22 notes?

Answer: Santo Domingo, Dominican Republic
[Table] header: School | Location (Population) | Nickname(s) | Colors | Years Member | Enrollment (2013/14) row 1 : Eastern Division | Eastern Division | Eastern Division | Eastern Division | Eastern Division | Eastern Division
row 2 : Carmi-White County High School | Carmi, Illinois (5,240) | Bulldogs Lady Bulldogs | Maroon White | 2003–Present | 375
row 3 : Eldorado High School | Eldorado, Illinois (4,122) | Eagles | Purple Gold | 1992-2003 (affiliate) 2003 | 355
row 4 : Fairfield Community High School | Fairfield, Illinois (5,154) | Mules Lady Mules | Red Black | 2003–Present | 402
row 5 : Hamilton County Senior High School | McLeansboro, Illinois (2,883) | Foxes Lady Foxes | Kelly Green White | 1990-2003 (affiliate) 2003 | 333
row 6 : Johnston City High School | Johnston City, Illinois (3,543) | Indians Lady Indians | Red Black | 1975–Present | 328
row 7 : Vienna High School | Vienna, Illinois (1,434) | Eagles Lady Eagles | Royal Blue Orange | 2008–Present | 324
row 8 : Western Division | Western Division | Western Division | Western Division | Western Division | Western Division
row 9 : Chester High School | Chester, Illinois (8,400) | Yellow Jackets Lady Yellow Jackets | Orange Black | 2010–Present | 336
row 10 : Christopher High School | Christopher, Illinois (2,382) | Bearcats Lady Cats | Blue Orange | 1949-1973 1975–Present | 252
row 11 : Elverado High School | Elkville, Illinois (1,001) | Falcons Lady Falcons | Blue Gold | 1962–Present | 152
row 12 : Goreville High School | Goreville, Illinois (938) | Blackcats | Gold Black | 2011–Present | 179
row 13 : Sesser-Valier High School | Sesser, Illinois (2,128) | Red Devils | Maroon White | 1963–Present | 216
row 14 : Trico High School | Campbell Hill, Illinois (333) | Pioneers Lady Pioneers | Blue Gold | 1968-1971 2003–Present | 284
row 15 : Zeigler-Royalton High | Zeigler, Illinois (1,801) | Tornadoes Lady Tornadoes | Navy Blue White | 1962–Present | 160 [/Table] Answer this question based on the above table: What years does Goreville High School have members?

Answer: 2011–Present
[Table] header: School | Location (Population) | Nickname(s) | Colors | Years Member | Enrollment (2013/14) row 1 : Eastern Division | Eastern Division | Eastern Division | Eastern Division | Eastern Division | Eastern Division
row 2 : Carmi-White County High School | Carmi, Illinois (5,240) | Bulldogs Lady Bulldogs | Maroon White | 2003–Present | 375
row 3 : Eldorado High School | Eldorado, Illinois (4,122) | Eagles | Purple Gold | 1992-2003 (affiliate) 2003 | 355
row 4 : Fairfield Community High School | Fairfield, Illinois (5,154) | Mules Lady Mules | Red Black | 2003–Present | 402
row 5 : Hamilton County Senior High School | McLeansboro, Illinois (2,883) | Foxes Lady Foxes | Kelly Green White | 1990-2003 (affiliate) 2003 | 333
row 6 : Johnston City High School | Johnston City, Illinois (3,543) | Indians Lady Indians | Red Black | 1975–Present | 328
row 7 : Vienna High School | Vienna, Illinois (1,434) | Eagles Lady Eagles | Royal Blue Orange | 2008–Present | 324
row 8 : Western Division | Western Division | Western Division | Western Division | Western Division | Western Division
row 9 : Chester High School | Chester, Illinois (8,400) | Yellow Jackets Lady Yellow Jackets | Orange Black | 2010–Present | 336
row 10 : Christopher High School | Christopher, Illinois (2,382) | Bearcats Lady Cats | Blue Orange | 1949-1973 1975–Present | 252
row 11 : Elverado High School | Elkville, Illinois (1,001) | Falcons Lady Falcons | Blue Gold | 1962–Present | 152
row 12 : Goreville High School | Goreville, Illinois (938) | Blackcats | Gold Black | 2011–Present | 179
row 13 : Sesser-Valier High School | Sesser, Illinois (2,128) | Red Devils | Maroon White | 1963–Present | 216
row 14 : Trico High School | Campbell Hill, Illinois (333) | Pioneers Lady Pioneers | Blue Gold | 1968-1971 2003–Present | 284
row 15 : Zeigler-Royalton High | Zeigler, Illinois (1,801) | Tornadoes Lady Tornadoes | Navy Blue White | 1962–Present | 160 [/Table] Answer this question based on the above table: What is the name of the school with the Tornadoes Lady Tornadoes?

Answer: Zeigler-Royalton High
[Table] header: School | Location (Population) | Nickname(s) | Colors | Years Member | Enrollment (2013/14) row 1 : Eastern Division | Eastern Division | Eastern Division | Eastern Division | Eastern Division | Eastern Division
row 2 : Carmi-White County High School | Carmi, Illinois (5,240) | Bulldogs Lady Bulldogs | Maroon White | 2003–Present | 375
row 3 : Eldorado High School | Eldorado, Illinois (4,122) | Eagles | Purple Gold | 1992-2003 (affiliate) 2003 | 355
row 4 : Fairfield Community High School | Fairfield, Illinois (5,154) | Mules Lady Mules | Red Black | 2003–Present | 402
row 5 : Hamilton County Senior High School | McLeansboro, Illinois (2,883) | Foxes Lady Foxes | Kelly Green White | 1990-2003 (affiliate) 2003 | 333
row 6 : Johnston City High School | Johnston City, Illinois (3,543) | Indians Lady Indians | Red Black | 1975–Present | 328
row 7 : Vienna High School | Vienna, Illinois (1,434) | Eagles Lady Eagles | Royal Blue Orange | 2008–Present | 324
row 8 : Western Division | Western Division | Western Division | Western Division | Western Division | Western Division
row 9 : Chester High School | Chester, Illinois (8,400) | Yellow Jackets Lady Yellow Jackets | Orange Black | 2010–Present | 336
row 10 : Christopher High School | Christopher, Illinois (2,382) | Bearcats Lady Cats | Blue Orange | 1949-1973 1975–Present | 252
row 11 : Elverado High School | Elkville, Illinois (1,001) | Falcons Lady Falcons | Blue Gold | 1962–Present | 152
row 12 : Goreville High School | Goreville, Illinois (938) | Blackcats | Gold Black | 2011–Present | 179
row 13 : Sesser-Valier High School | Sesser, Illinois (2,128) | Red Devils | Maroon White | 1963–Present | 216
row 14 : Trico High School | Campbell Hill, Illinois (333) | Pioneers Lady Pioneers | Blue Gold | 1968-1971 2003–Present | 284
row 15 : Zeigler-Royalton High | Zeigler, Illinois (1,801) | Tornadoes Lady Tornadoes | Navy Blue White | 1962–Present | 160 [/Table] Answer this question based on the above table: What is the school with the nickname Tornadoes Lady Tornadoes?

Answer: Zeigler-Royalton High
[Table] header: School | Location (Population) | Nickname(s) | Colors | Years Member | Enrollment (2013/14) row 1 : Eastern Division | Eastern Division | Eastern Division | Eastern Division | Eastern Division | Eastern Division
row 2 : Carmi-White County High School | Carmi, Illinois (5,240) | Bulldogs Lady Bulldogs | Maroon White | 2003–Present | 375
row 3 : Eldorado High School | Eldorado, Illinois (4,122) | Eagles | Purple Gold | 1992-2003 (affiliate) 2003 | 355
row 4 : Fairfield Community High School | Fairfield, Illinois (5,154) | Mules Lady Mules | Red Black | 2003–Present | 402
row 5 : Hamilton County Senior High School | McLeansboro, Illinois (2,883) | Foxes Lady Foxes | Kelly Green White | 1990-2003 (affiliate) 2003 | 333
row 6 : Johnston City High School | Johnston City, Illinois (3,543) | Indians Lady Indians | Red Black | 1975–Present | 328
row 7 : Vienna High School | Vienna, Illinois (1,434) | Eagles Lady Eagles | Royal Blue Orange | 2008–Present | 324
row 8 : Western Division | Western Division | Western Division | Western Division | Western Division | Western Division
row 9 : Chester High School | Chester, Illinois (8,400) | Yellow Jackets Lady Yellow Jackets | Orange Black | 2010–Present | 336
row 10 : Christopher High School | Christopher, Illinois (2,382) | Bearcats Lady Cats | Blue Orange | 1949-1973 1975–Present | 252
row 11 : Elverado High School | Elkville, Illinois (1,001) | Falcons Lady Falcons | Blue Gold | 1962–Present | 152
row 12 : Goreville High School | Goreville, Illinois (938) | Blackcats | Gold Black | 2011–Present | 179
row 13 : Sesser-Valier High School | Sesser, Illinois (2,128) | Red Devils | Maroon White | 1963–Present | 216
row 14 : Trico High School | Campbell Hill, Illinois (333) | Pioneers Lady Pioneers | Blue Gold | 1968-1971 2003–Present | 284
row 15 : Zeigler-Royalton High | Zeigler, Illinois (1,801) | Tornadoes Lady Tornadoes | Navy Blue White | 1962–Present | 160 [/Table] Answer this question based on the above table: What is the nickname with an enrollment (2013/14) of 160?

Answer: Tornadoes Lady Tornadoes
[Table] header: Year | Gold | Silver | Bronze | Notes row 1 : 2002 | Michael Mamleev | Yuri Omeltchenko | Jamie Stevenson | 5.2km, 15controls
row 2 : 2004 | Thierry Gueorgiou | Jarkko Huovila | Emil Wingstedt | 6.4km, 22controls
row 3 : 2006 | Thierry Gueorgiou | Martins Sirmais | Valentin Novikov | 6.7km, 18controls
row 4 : 2008 | Thierry Gueorgiou | Martins Sirmais | Pasi Ikonen | 6.7km, 22controls
row 5 : 2010 | Valentin Novikov | Matthias Merz | Daniel Hubmann | 6.4km, 22controls
row 6 : 2012 | Olav Lundanes | Valentin Novikov | Carl Waaler Kaas | 6.24km, 23controls [/Table] Answer this question based on the above table: What is Notes, when Gold is "Thierry Gueorgiou", when Year is before 2008, and when Bronze is "Valentin Novikov"?

Answer: 6.7km, 18controls
[Table] header: Year | Gold | Silver | Bronze | Notes row 1 : 2002 | Michael Mamleev | Yuri Omeltchenko | Jamie Stevenson | 5.2km, 15controls
row 2 : 2004 | Thierry Gueorgiou | Jarkko Huovila | Emil Wingstedt | 6.4km, 22controls
row 3 : 2006 | Thierry Gueorgiou | Martins Sirmais | Valentin Novikov | 6.7km, 18controls
row 4 : 2008 | Thierry Gueorgiou | Martins Sirmais | Pasi Ikonen | 6.7km, 22controls
row 5 : 2010 | Valentin Novikov | Matthias Merz | Daniel Hubmann | 6.4km, 22controls
row 6 : 2012 | Olav Lundanes | Valentin Novikov | Carl Waaler Kaas | 6.24km, 23controls [/Table] Answer this question based on the above table: What is Notes, when Silver is "Jarkko Huovila"?

Answer: 6.4km, 22controls