sail/symbolic-instruction-tuning huggingface dataset:
[Table] header: Draw | Artist | Song | Result | Place row 1 : 1 | Anna Semenovich | "Love lovila" | 8% | 5
row 2 : 2 | Tomas N'evergreen | "One More Try" | 2% | 11
row 3 : 3 | Alexa | "Ne dumat o te | 7% | 6
row 4 : 4 | Plazma | "Never Ending Story" | 3% | 8
row 5 : 5 | Anastasia Prikhodko | "Mamo" | 25% | 1
row 6 : 6 | Valeriya | "Back to Love" | 14% | 2
row 7 : 7 | Nano | "Traitor" | 2% | 11
row 8 : 8 | Tim Rocks | "The Happiest Man" | 1% | 15
row 9 : 9 | Princessa Avenue | "Never, Never" | 2% | 11
row 10 : 10 | Nikolay Fokeev | "You Can Stop The Time" | 1% | 15
row 11 : 11 | Venger Collective | "9 O'Clock Moscow" | 3% | 8
row 12 : 12 | Polina Griffith | "Cry for You" | 5% | 7
row 13 : 13 | Alexey Vorobyov | "Angelom byt" | 10% | 4
row 14 : 14 | Unisex | "Ai-ai-ai" | 2% | 11
row 15 : 15 | Arishata | "Breakdown" | 3% | 8
row 16 : 16 | Kvatro | "Lyubovyu  | 12% | 3 [/Table] Answer this question based on the above table: What's the smallest draw that has a place bigger more than 1 and Anastasia Prikhodko as the artist?

Answer: none
[Table] header: Draw | Artist | Song | Result | Place row 1 : 1 | Anna Semenovich | "Love lovila" | 8% | 5
row 2 : 2 | Tomas N'evergreen | "One More Try" | 2% | 11
row 3 : 3 | Alexa | "Ne dumat o te | 7% | 6
row 4 : 4 | Plazma | "Never Ending Story" | 3% | 8
row 5 : 5 | Anastasia Prikhodko | "Mamo" | 25% | 1
row 6 : 6 | Valeriya | "Back to Love" | 14% | 2
row 7 : 7 | Nano | "Traitor" | 2% | 11
row 8 : 8 | Tim Rocks | "The Happiest Man" | 1% | 15
row 9 : 9 | Princessa Avenue | "Never, Never" | 2% | 11
row 10 : 10 | Nikolay Fokeev | "You Can Stop The Time" | 1% | 15
row 11 : 11 | Venger Collective | "9 O'Clock Moscow" | 3% | 8
row 12 : 12 | Polina Griffith | "Cry for You" | 5% | 7
row 13 : 13 | Alexey Vorobyov | "Angelom byt" | 10% | 4
row 14 : 14 | Unisex | "Ai-ai-ai" | 2% | 11
row 15 : 15 | Arishata | "Breakdown" | 3% | 8
row 16 : 16 | Kvatro | "Lyubovyu  | 12% | 3 [/Table] Answer this question based on the above table: What's the draw having the result of 10%?

Answer: 13.0
[Table] header: Team | Tries for | Tries against | Try diff | Points for | Points against | Points diff row 1 : Montferrand | 43 | 9 | +34 | 303 | 86 | +217
row 2 : Bourgoin | 36 | 8 | +28 | 222 | 86 | +136
row 3 : Dax | 20 | 15 | +5 | 163 | 124 | +39
row 4 : Castres | 32 | 10 | +22 | 229 | 101 | +128
row 5 : Rugby Roma | 14 | 34 | −20 | 117 | 213 | −96
row 6 : Aberavon | 14 | 42 | −28 | 86 | 287 | −201
row 7 : Spain XV | 7 | 48 | −41 | 65 | 288 | −223 [/Table] Answer this question based on the above table: What is the average tries for less than 117 points and less than 48 tries against?

Answer: 14.0
[Table] header: Country | Airport | City | 2008 | Change (08/07) row 1 : South Africa | OR Tambo International Airport | Johannesburg | 18,501,628 | 0 4.3%
row 2 : Egypt | Cairo International Airport | Cairo | 14,360,029 | 0 14.2%
row 3 : Spain | Gran Canaria Airport | Las Palmas de Gran Canaria | 10,207,283 | unknown
row 4 : South Africa | Cape Town International Airport | Cape Town | 8,077,435 | 0 2.9%
row 5 : Egypt | Sharm el-Sheikh International Airport | Sharm el-Sheikh | 7,747,422 | 0 20.8%
row 6 : Egypt | Hurghada International Airport | Hurghada | 6,741,017 | 0 13.4%
row 7 : Morocco | Mohammed V International Airport | Casablanca | 6,209,711 | 0 6.0%
row 8 : Nigeria | Murtala Muhammed International Airport | Lagos | 5,184,354 | 0 23.5%
row 9 : Kenya | Jomo Kenyatta International Airport | Nairobi | 4,751,159 | 0 3.0%
row 10 : South Africa | Durban International Airport | Durban | 4,458,715 | 0 7.1%
row 11 : Tunisia | Monastir International Airport | Monastir | 4,262,263 | 0 0.8%
row 12 : Tunisia | Carthage Airport | Tunis | 4,218,328 | 0 3.5%
row 13 : Algeria | Houari Boumedienne Airport | Algiers | 4,126,795 | 0 6.0%
row 14 : Ethiopia | Bole International Airport | Addis Ababa | 3,325,618 | 0 9.0%
row 15 : Morocco | Marrakech-Menara Airport | Marrakech | 3,100,495 | 0 1.6%
row 16 : Nigeria | Nnamdi Azikiwe International Airport | Abuja | 2,647,198 | 0 7.0%
row 17 : Tunisia | Djerba-Zarzis Airport | Djerba | 2,621,931 | 0 2.8%
row 18 : Mauritius | Sir Seewoosagur Ramgool | Plaisance | 2,609,265 | 0 1.4%
row 19 : Sudan | Khartoum International Airport | Khartoum | 2,368,642 | unknown
row 20 : Angola | Quatro de Fevereiro Airport | Luanda | 2,222,638 | unknown
row 21 : Egypt | Luxor International Airport | Luxor | 2,160,462 | 0 9.7%
row 22 : Senegal | Yoff Airport | Dakar | 1,802,559 | 0 5.0%
row 23 : France | Roland Garros Airport | Saint-Denis, Réunion | 1,654,105 | unknown
row 24 : Tanzania | Julius Nyerere International Airport | Dar es Salaam | 1,542,778 | unknown
row 25 : South Africa | Port Elizabeth Airport | Port Elizabeth | 1,468,176 | unknown
row 26 : Ghana | Kotoka International Airport | Accra | 1,364,654 | unknown
row 27 : Egypt | Aswan International Airport | Aswan | 1,106,809 | unknown
row 28 : Egypt | Alexandria International Airport | Alexandria | 1,102,497 | unknown [/Table] Answer this question based on the above table: Which 2008 has a City of durban?

Answer: 4458715.0
[Table] header: Country | Airport | City | 2008 | Change (08/07) row 1 : South Africa | OR Tambo International Airport | Johannesburg | 18,501,628 | 0 4.3%
row 2 : Egypt | Cairo International Airport | Cairo | 14,360,029 | 0 14.2%
row 3 : Spain | Gran Canaria Airport | Las Palmas de Gran Canaria | 10,207,283 | unknown
row 4 : South Africa | Cape Town International Airport | Cape Town | 8,077,435 | 0 2.9%
row 5 : Egypt | Sharm el-Sheikh International Airport | Sharm el-Sheikh | 7,747,422 | 0 20.8%
row 6 : Egypt | Hurghada International Airport | Hurghada | 6,741,017 | 0 13.4%
row 7 : Morocco | Mohammed V International Airport | Casablanca | 6,209,711 | 0 6.0%
row 8 : Nigeria | Murtala Muhammed International Airport | Lagos | 5,184,354 | 0 23.5%
row 9 : Kenya | Jomo Kenyatta International Airport | Nairobi | 4,751,159 | 0 3.0%
row 10 : South Africa | Durban International Airport | Durban | 4,458,715 | 0 7.1%
row 11 : Tunisia | Monastir International Airport | Monastir | 4,262,263 | 0 0.8%
row 12 : Tunisia | Carthage Airport | Tunis | 4,218,328 | 0 3.5%
row 13 : Algeria | Houari Boumedienne Airport | Algiers | 4,126,795 | 0 6.0%
row 14 : Ethiopia | Bole International Airport | Addis Ababa | 3,325,618 | 0 9.0%
row 15 : Morocco | Marrakech-Menara Airport | Marrakech | 3,100,495 | 0 1.6%
row 16 : Nigeria | Nnamdi Azikiwe International Airport | Abuja | 2,647,198 | 0 7.0%
row 17 : Tunisia | Djerba-Zarzis Airport | Djerba | 2,621,931 | 0 2.8%
row 18 : Mauritius | Sir Seewoosagur Ramgool | Plaisance | 2,609,265 | 0 1.4%
row 19 : Sudan | Khartoum International Airport | Khartoum | 2,368,642 | unknown
row 20 : Angola | Quatro de Fevereiro Airport | Luanda | 2,222,638 | unknown
row 21 : Egypt | Luxor International Airport | Luxor | 2,160,462 | 0 9.7%
row 22 : Senegal | Yoff Airport | Dakar | 1,802,559 | 0 5.0%
row 23 : France | Roland Garros Airport | Saint-Denis, Réunion | 1,654,105 | unknown
row 24 : Tanzania | Julius Nyerere International Airport | Dar es Salaam | 1,542,778 | unknown
row 25 : South Africa | Port Elizabeth Airport | Port Elizabeth | 1,468,176 | unknown
row 26 : Ghana | Kotoka International Airport | Accra | 1,364,654 | unknown
row 27 : Egypt | Aswan International Airport | Aswan | 1,106,809 | unknown
row 28 : Egypt | Alexandria International Airport | Alexandria | 1,102,497 | unknown [/Table] Answer this question based on the above table: Which Country has a Change (08/07) of unknown, and a 2008 larger than 1,102,497, and a City of luanda?

Answer: Angola
[Table] header: Country | Airport | City | 2008 | Change (08/07) row 1 : South Africa | OR Tambo International Airport | Johannesburg | 18,501,628 | 0 4.3%
row 2 : Egypt | Cairo International Airport | Cairo | 14,360,029 | 0 14.2%
row 3 : Spain | Gran Canaria Airport | Las Palmas de Gran Canaria | 10,207,283 | unknown
row 4 : South Africa | Cape Town International Airport | Cape Town | 8,077,435 | 0 2.9%
row 5 : Egypt | Sharm el-Sheikh International Airport | Sharm el-Sheikh | 7,747,422 | 0 20.8%
row 6 : Egypt | Hurghada International Airport | Hurghada | 6,741,017 | 0 13.4%
row 7 : Morocco | Mohammed V International Airport | Casablanca | 6,209,711 | 0 6.0%
row 8 : Nigeria | Murtala Muhammed International Airport | Lagos | 5,184,354 | 0 23.5%
row 9 : Kenya | Jomo Kenyatta International Airport | Nairobi | 4,751,159 | 0 3.0%
row 10 : South Africa | Durban International Airport | Durban | 4,458,715 | 0 7.1%
row 11 : Tunisia | Monastir International Airport | Monastir | 4,262,263 | 0 0.8%
row 12 : Tunisia | Carthage Airport | Tunis | 4,218,328 | 0 3.5%
row 13 : Algeria | Houari Boumedienne Airport | Algiers | 4,126,795 | 0 6.0%
row 14 : Ethiopia | Bole International Airport | Addis Ababa | 3,325,618 | 0 9.0%
row 15 : Morocco | Marrakech-Menara Airport | Marrakech | 3,100,495 | 0 1.6%
row 16 : Nigeria | Nnamdi Azikiwe International Airport | Abuja | 2,647,198 | 0 7.0%
row 17 : Tunisia | Djerba-Zarzis Airport | Djerba | 2,621,931 | 0 2.8%
row 18 : Mauritius | Sir Seewoosagur Ramgool | Plaisance | 2,609,265 | 0 1.4%
row 19 : Sudan | Khartoum International Airport | Khartoum | 2,368,642 | unknown
row 20 : Angola | Quatro de Fevereiro Airport | Luanda | 2,222,638 | unknown
row 21 : Egypt | Luxor International Airport | Luxor | 2,160,462 | 0 9.7%
row 22 : Senegal | Yoff Airport | Dakar | 1,802,559 | 0 5.0%
row 23 : France | Roland Garros Airport | Saint-Denis, Réunion | 1,654,105 | unknown
row 24 : Tanzania | Julius Nyerere International Airport | Dar es Salaam | 1,542,778 | unknown
row 25 : South Africa | Port Elizabeth Airport | Port Elizabeth | 1,468,176 | unknown
row 26 : Ghana | Kotoka International Airport | Accra | 1,364,654 | unknown
row 27 : Egypt | Aswan International Airport | Aswan | 1,106,809 | unknown
row 28 : Egypt | Alexandria International Airport | Alexandria | 1,102,497 | unknown [/Table] Answer this question based on the above table: Which 2008 has an Airport of hurghada international airport?

Answer: 6741017.0
[Table] header: Country | Airport | City | 2008 | Change (08/07) row 1 : South Africa | OR Tambo International Airport | Johannesburg | 18,501,628 | 0 4.3%
row 2 : Egypt | Cairo International Airport | Cairo | 14,360,029 | 0 14.2%
row 3 : Spain | Gran Canaria Airport | Las Palmas de Gran Canaria | 10,207,283 | unknown
row 4 : South Africa | Cape Town International Airport | Cape Town | 8,077,435 | 0 2.9%
row 5 : Egypt | Sharm el-Sheikh International Airport | Sharm el-Sheikh | 7,747,422 | 0 20.8%
row 6 : Egypt | Hurghada International Airport | Hurghada | 6,741,017 | 0 13.4%
row 7 : Morocco | Mohammed V International Airport | Casablanca | 6,209,711 | 0 6.0%
row 8 : Nigeria | Murtala Muhammed International Airport | Lagos | 5,184,354 | 0 23.5%
row 9 : Kenya | Jomo Kenyatta International Airport | Nairobi | 4,751,159 | 0 3.0%
row 10 : South Africa | Durban International Airport | Durban | 4,458,715 | 0 7.1%
row 11 : Tunisia | Monastir International Airport | Monastir | 4,262,263 | 0 0.8%
row 12 : Tunisia | Carthage Airport | Tunis | 4,218,328 | 0 3.5%
row 13 : Algeria | Houari Boumedienne Airport | Algiers | 4,126,795 | 0 6.0%
row 14 : Ethiopia | Bole International Airport | Addis Ababa | 3,325,618 | 0 9.0%
row 15 : Morocco | Marrakech-Menara Airport | Marrakech | 3,100,495 | 0 1.6%
row 16 : Nigeria | Nnamdi Azikiwe International Airport | Abuja | 2,647,198 | 0 7.0%
row 17 : Tunisia | Djerba-Zarzis Airport | Djerba | 2,621,931 | 0 2.8%
row 18 : Mauritius | Sir Seewoosagur Ramgool | Plaisance | 2,609,265 | 0 1.4%
row 19 : Sudan | Khartoum International Airport | Khartoum | 2,368,642 | unknown
row 20 : Angola | Quatro de Fevereiro Airport | Luanda | 2,222,638 | unknown
row 21 : Egypt | Luxor International Airport | Luxor | 2,160,462 | 0 9.7%
row 22 : Senegal | Yoff Airport | Dakar | 1,802,559 | 0 5.0%
row 23 : France | Roland Garros Airport | Saint-Denis, Réunion | 1,654,105 | unknown
row 24 : Tanzania | Julius Nyerere International Airport | Dar es Salaam | 1,542,778 | unknown
row 25 : South Africa | Port Elizabeth Airport | Port Elizabeth | 1,468,176 | unknown
row 26 : Ghana | Kotoka International Airport | Accra | 1,364,654 | unknown
row 27 : Egypt | Aswan International Airport | Aswan | 1,106,809 | unknown
row 28 : Egypt | Alexandria International Airport | Alexandria | 1,102,497 | unknown [/Table] Answer this question based on the above table: Which 2008 has an Airport of julius nyerere international airport?

Answer: 1542778.0
[Table] header: Stadium | Capacity | City | Region | Home Team | Opened row 1 : Stade de France | 81,338 | Paris | Île-de-France | France national football team | 1998
row 2 : Stade Vélodrome | 60,013 | Marseille | Provence-Alpes-Côte d | Olympique de Marseille | 1937
row 3 : Grand Stade Lille Métropole | 50,186 | Villeneuve-d'Ascq | Nord-Pas-de-Cala | Lille OSC | 2012
row 4 : Parc des Princes | 48,712 | Paris | Île-de-France | Paris Saint-Germain FC | 1897
row 5 : Stade Félix Bollaert | 41,233 | Lens | Nord-Pas-de-Cala | RC Lens | 1932
row 6 : Stade Gerland | 41,044 | Lyon | Rhône-Alpes | Olympique Lyonnais | 1926
row 7 : Stade de la Beaujoire | 38,285 | Nantes | Pays de la Loire | FC Nantes Atlantique | 1984
row 8 : Allianz Riviera | 35,624 | Nice | Provence-Alpes-Côte d | OGC Nice | 2013
row 9 : Stade Geoffroy-Guichard | 35,616 | Saint-Étienne | Rhône-Alpes | AS Saint-Étienne | 1931
row 10 : Stadium Municipal | 35,575 | Toulouse | Midi-Pyrénées | Toulouse FC | 1937
row 11 : Stade Chaban-Delmas | 34,462 | Bordeaux | Aquitaine | FC Girondins de Bordeaux | 1938
row 12 : Stade de la Mosson | 32,939 | Montpellier | Languedoc-Roussillon | Montpellier HSC | 1972
row 13 : Stade de la Route de Lorient | 31,127 | Rennes | Brittany | Stade Rennais FC | 1912
row 14 : Stade de la Meinau | 29,230 | Strasbourg | Alsace | RC Strasbourg | 1914
row 15 : Stade Municipal Saint-Symphori | 26,700 | Metz | Lorraine | FC Metz | 1923
row 16 : Grand Stade du Havre | 25,178 | Le Havre | Upper Normandy | Le Havre AC | 2012
row 17 : MMArena | 25,000 | Le Mans | Pays de la Loire | Le Mans UC | 2011
row 18 : Stade du Hainaut | 24,926 | Valenciennes | Nord-Pas-de-Cala | Valenciennes FC | 2011
row 19 : Stade de l'Abbé | 23,467 | Auxerre | Bourgogne | AJ Auxerre | 1918
row 20 : Stade Louis Dugauguez | 23,189 | Sedan | Champagne-Ardenne | Club Sportif Sedan Ardennes | 2000
row 21 : Stade Michel d'Ornan | 22,500 | Caen | Lower Normandy | Stade Malherbe Caen | 1993
row 22 : Stade Auguste-Delaune | 21,684 | Reims | Champagne-Ardenne | Stade Reims | 1935
row 23 : Stade de l'Aube | 20,400 | Troyes | Champagne-Ardenne | Troyes AC | 1956
row 24 : Stade Marcel Picot | 20,087 | Tomblaine | Lorraine | AS Nancy | 1926
row 25 : Stade des Alpes | 20,068 | Grenoble | Rhône-Alpes | Grenoble Foot 38 | 2008
row 26 : Stade Auguste Bonal | 20,025 | Montbéliard | Franche-Comté | FC Sochaux-Montbél | 2000
row 27 : Stade Sébastien Charlé | 20,000 | Paris | Île-de-France | Paris FC | 1938 [/Table] Answer this question based on the above table: What capacity opened lessed than 1937 and is located in the region of champagne-ardenne?

Answer: 21684.0
[Table] header: Stadium | Capacity | City | Region | Home Team | Opened row 1 : Stade de France | 81,338 | Paris | Île-de-France | France national football team | 1998
row 2 : Stade Vélodrome | 60,013 | Marseille | Provence-Alpes-Côte d | Olympique de Marseille | 1937
row 3 : Grand Stade Lille Métropole | 50,186 | Villeneuve-d'Ascq | Nord-Pas-de-Cala | Lille OSC | 2012
row 4 : Parc des Princes | 48,712 | Paris | Île-de-France | Paris Saint-Germain FC | 1897
row 5 : Stade Félix Bollaert | 41,233 | Lens | Nord-Pas-de-Cala | RC Lens | 1932
row 6 : Stade Gerland | 41,044 | Lyon | Rhône-Alpes | Olympique Lyonnais | 1926
row 7 : Stade de la Beaujoire | 38,285 | Nantes | Pays de la Loire | FC Nantes Atlantique | 1984
row 8 : Allianz Riviera | 35,624 | Nice | Provence-Alpes-Côte d | OGC Nice | 2013
row 9 : Stade Geoffroy-Guichard | 35,616 | Saint-Étienne | Rhône-Alpes | AS Saint-Étienne | 1931
row 10 : Stadium Municipal | 35,575 | Toulouse | Midi-Pyrénées | Toulouse FC | 1937
row 11 : Stade Chaban-Delmas | 34,462 | Bordeaux | Aquitaine | FC Girondins de Bordeaux | 1938
row 12 : Stade de la Mosson | 32,939 | Montpellier | Languedoc-Roussillon | Montpellier HSC | 1972
row 13 : Stade de la Route de Lorient | 31,127 | Rennes | Brittany | Stade Rennais FC | 1912
row 14 : Stade de la Meinau | 29,230 | Strasbourg | Alsace | RC Strasbourg | 1914
row 15 : Stade Municipal Saint-Symphori | 26,700 | Metz | Lorraine | FC Metz | 1923
row 16 : Grand Stade du Havre | 25,178 | Le Havre | Upper Normandy | Le Havre AC | 2012
row 17 : MMArena | 25,000 | Le Mans | Pays de la Loire | Le Mans UC | 2011
row 18 : Stade du Hainaut | 24,926 | Valenciennes | Nord-Pas-de-Cala | Valenciennes FC | 2011
row 19 : Stade de l'Abbé | 23,467 | Auxerre | Bourgogne | AJ Auxerre | 1918
row 20 : Stade Louis Dugauguez | 23,189 | Sedan | Champagne-Ardenne | Club Sportif Sedan Ardennes | 2000
row 21 : Stade Michel d'Ornan | 22,500 | Caen | Lower Normandy | Stade Malherbe Caen | 1993
row 22 : Stade Auguste-Delaune | 21,684 | Reims | Champagne-Ardenne | Stade Reims | 1935
row 23 : Stade de l'Aube | 20,400 | Troyes | Champagne-Ardenne | Troyes AC | 1956
row 24 : Stade Marcel Picot | 20,087 | Tomblaine | Lorraine | AS Nancy | 1926
row 25 : Stade des Alpes | 20,068 | Grenoble | Rhône-Alpes | Grenoble Foot 38 | 2008
row 26 : Stade Auguste Bonal | 20,025 | Montbéliard | Franche-Comté | FC Sochaux-Montbél | 2000
row 27 : Stade Sébastien Charlé | 20,000 | Paris | Île-de-France | Paris FC | 1938 [/Table] Answer this question based on the above table: What total number of opened has a stadium of stade de la mosson and is larger than 32,939 capacity?

Answer: 0.0
[Table] header: Draw | Artist | Song | Points | Place row 1 : 1 | Saules kliošas | "Saulė" | 19 | 9
row 2 : 2 | 69 Danguje | "Meilės simfon | 76 | 3
row 3 : 3 | Rūta Ščiogole | "Redemption" | 72 | 4
row 4 : 4 | Donatas Montvydas | "From The Distance" | 100 | 2
row 5 : 5 | Jonas Čepulis & | "Uosilėli ž | 31 | 8
row 6 : 6 | Darius Pranckevičius  | "Nelytėta vil | 39 | 7
row 7 : 7 | Milanno & Karina Kry | "Kelias pas tave" | 48 | 6
row 8 : 8 | Sasha Son | "Pasiklydęs | 120 | 1
row 9 : 9 | Linas Adomaitis | "Tavo spalvos" | 62 | 5
row 10 : 10 | Aurelija Slavinskaitė | "Part of Me" | 13 | 10 [/Table] Answer this question based on the above table: Which song has a place greater than 7, more than 13 points, and draw of 5?

Answer: "Uosilėli ž
[Table] header: Draw | Language | Artist | Song | English translation | Place | Points row 1 : 01 | Swedish | Marie Bergman and Roger Pontare | " Stjärnorna " | The stars | 13 | 48
row 2 : 02 | Finnish | CatCat | " Bye Bye Baby " | – | 22 | 11
row 3 : 03 | English | Paul Harrington and Charlie McGettigan | " Rock 'n' Roll Kids " | – | 1 | 226
row 4 : 04 | Greek | Evridiki | " Íme ánthropos ki | I'm human too | 11 | 51
row 5 : 05 | Icelandic | Sigga | " Nætur " | Nights | 12 | 49
row 6 : 06 | English | Frances Ruffelle | " We Will Be Free (Lonely Symphony | – | 10 | 63
row 7 : 07 | Croatian | Tony Cetinski | " Nek' ti bude | You may have all the love | 16 | 27
row 8 : 08 | Portuguese | Sara Tavares | " Chamar a música | Call the music | 8 | 73
row 9 : 09 | Italian | Duilio | " Sto pregando " | I'm praying | 19 | 15
row 10 : 10 | Estonian | Silvi Vrait | " Nagu merelaine " | Like a seawave | 24 | 2
row 11 : 11 | Romanian | Dan Bittman | " Dincolo de nori " | Beyond the clouds | 21 | 14
row 12 : 12 | English | Chris and Moira | " More than Love " | – | 5 | 97
row 13 : 13 | Dutch | Willeke Alberti | " Waar is de zon? " | Where is the sun? | 23 | 4
row 14 : 14 | German | MeKaDo | " Wir geben 'ne Party " | We're throwing a party | 3 | 128
row 15 : 15 | Slovak | Tublatanka | " Nekonečná pieseň " | Neverending song | 19 | 15
row 16 : 16 | Lithuanian | Ovidijus Vyšni | " Lopšinė mylimai | Lullaby for my beloved | 25 | 0
row 17 : 17 | Norwegian | Elisabeth Andreassen and Jan Wer | " Duett " | Duet | 6 | 76
row 18 : 18 | Bosnian | Alma and Dejan | " Ostani kraj mene " | Stay beside me | 15 | 39
row 19 : 19 | Greek | Kostas Bigalis and The Sea Lo | " To Trehandiri " (Το | The trehandiri | 14 | 44
row 20 : 20 | German | Petra Frey | " Für den Frieden der Welt " | For the peace of the world | 17 | 19
row 21 : 21 | Spanish | Alejandro Abad | " Ella no es ella " | She's not her | 18 | 17
row 22 : 22 | Hungarian | Friderika Bayer | " Kinek mondjam e | Whom can I tell my sins? | 4 | 122
row 23 : 23 | Russian | Youddiph | " Vechny strannik " | Eternal wanderer | 9 | 70
row 24 : 24 | Polish | Edyta Górniak | " To nie ja! " | That's not me! | 2 | 166
row 25 : 25 | French | Nina Morato | " Je suis un vrai garçon " | I'm a real boy | 7 | 74 [/Table] Answer this question based on the above table: How many points does catcat have with more than 2 draws?

Answer: none
[Table] header: Draw | Language | Artist | Song | English translation | Place | Points row 1 : 01 | Swedish | Marie Bergman and Roger Pontare | " Stjärnorna " | The stars | 13 | 48
row 2 : 02 | Finnish | CatCat | " Bye Bye Baby " | – | 22 | 11
row 3 : 03 | English | Paul Harrington and Charlie McGettigan | " Rock 'n' Roll Kids " | – | 1 | 226
row 4 : 04 | Greek | Evridiki | " Íme ánthropos ki | I'm human too | 11 | 51
row 5 : 05 | Icelandic | Sigga | " Nætur " | Nights | 12 | 49
row 6 : 06 | English | Frances Ruffelle | " We Will Be Free (Lonely Symphony | – | 10 | 63
row 7 : 07 | Croatian | Tony Cetinski | " Nek' ti bude | You may have all the love | 16 | 27
row 8 : 08 | Portuguese | Sara Tavares | " Chamar a música | Call the music | 8 | 73
row 9 : 09 | Italian | Duilio | " Sto pregando " | I'm praying | 19 | 15
row 10 : 10 | Estonian | Silvi Vrait | " Nagu merelaine " | Like a seawave | 24 | 2
row 11 : 11 | Romanian | Dan Bittman | " Dincolo de nori " | Beyond the clouds | 21 | 14
row 12 : 12 | English | Chris and Moira | " More than Love " | – | 5 | 97
row 13 : 13 | Dutch | Willeke Alberti | " Waar is de zon? " | Where is the sun? | 23 | 4
row 14 : 14 | German | MeKaDo | " Wir geben 'ne Party " | We're throwing a party | 3 | 128
row 15 : 15 | Slovak | Tublatanka | " Nekonečná pieseň " | Neverending song | 19 | 15
row 16 : 16 | Lithuanian | Ovidijus Vyšni | " Lopšinė mylimai | Lullaby for my beloved | 25 | 0
row 17 : 17 | Norwegian | Elisabeth Andreassen and Jan Wer | " Duett " | Duet | 6 | 76
row 18 : 18 | Bosnian | Alma and Dejan | " Ostani kraj mene " | Stay beside me | 15 | 39
row 19 : 19 | Greek | Kostas Bigalis and The Sea Lo | " To Trehandiri " (Το | The trehandiri | 14 | 44
row 20 : 20 | German | Petra Frey | " Für den Frieden der Welt " | For the peace of the world | 17 | 19
row 21 : 21 | Spanish | Alejandro Abad | " Ella no es ella " | She's not her | 18 | 17
row 22 : 22 | Hungarian | Friderika Bayer | " Kinek mondjam e | Whom can I tell my sins? | 4 | 122
row 23 : 23 | Russian | Youddiph | " Vechny strannik " | Eternal wanderer | 9 | 70
row 24 : 24 | Polish | Edyta Górniak | " To nie ja! " | That's not me! | 2 | 166
row 25 : 25 | French | Nina Morato | " Je suis un vrai garçon " | I'm a real boy | 7 | 74 [/Table] Answer this question based on the above table: Which Place has an English translation of lullaby for my beloved?

Answer: 25.0
[Table] header: Draw | Language | Artist | Song | English translation | Place | Points row 1 : 01 | Swedish | Marie Bergman and Roger Pontare | " Stjärnorna " | The stars | 13 | 48
row 2 : 02 | Finnish | CatCat | " Bye Bye Baby " | – | 22 | 11
row 3 : 03 | English | Paul Harrington and Charlie McGettigan | " Rock 'n' Roll Kids " | – | 1 | 226
row 4 : 04 | Greek | Evridiki | " Íme ánthropos ki | I'm human too | 11 | 51
row 5 : 05 | Icelandic | Sigga | " Nætur " | Nights | 12 | 49
row 6 : 06 | English | Frances Ruffelle | " We Will Be Free (Lonely Symphony | – | 10 | 63
row 7 : 07 | Croatian | Tony Cetinski | " Nek' ti bude | You may have all the love | 16 | 27
row 8 : 08 | Portuguese | Sara Tavares | " Chamar a música | Call the music | 8 | 73
row 9 : 09 | Italian | Duilio | " Sto pregando " | I'm praying | 19 | 15
row 10 : 10 | Estonian | Silvi Vrait | " Nagu merelaine " | Like a seawave | 24 | 2
row 11 : 11 | Romanian | Dan Bittman | " Dincolo de nori " | Beyond the clouds | 21 | 14
row 12 : 12 | English | Chris and Moira | " More than Love " | – | 5 | 97
row 13 : 13 | Dutch | Willeke Alberti | " Waar is de zon? " | Where is the sun? | 23 | 4
row 14 : 14 | German | MeKaDo | " Wir geben 'ne Party " | We're throwing a party | 3 | 128
row 15 : 15 | Slovak | Tublatanka | " Nekonečná pieseň " | Neverending song | 19 | 15
row 16 : 16 | Lithuanian | Ovidijus Vyšni | " Lopšinė mylimai | Lullaby for my beloved | 25 | 0
row 17 : 17 | Norwegian | Elisabeth Andreassen and Jan Wer | " Duett " | Duet | 6 | 76
row 18 : 18 | Bosnian | Alma and Dejan | " Ostani kraj mene " | Stay beside me | 15 | 39
row 19 : 19 | Greek | Kostas Bigalis and The Sea Lo | " To Trehandiri " (Το | The trehandiri | 14 | 44
row 20 : 20 | German | Petra Frey | " Für den Frieden der Welt " | For the peace of the world | 17 | 19
row 21 : 21 | Spanish | Alejandro Abad | " Ella no es ella " | She's not her | 18 | 17
row 22 : 22 | Hungarian | Friderika Bayer | " Kinek mondjam e | Whom can I tell my sins? | 4 | 122
row 23 : 23 | Russian | Youddiph | " Vechny strannik " | Eternal wanderer | 9 | 70
row 24 : 24 | Polish | Edyta Górniak | " To nie ja! " | That's not me! | 2 | 166
row 25 : 25 | French | Nina Morato | " Je suis un vrai garçon " | I'm a real boy | 7 | 74 [/Table] Answer this question based on the above table: Where is Croatian spoken?

Answer: 16.0
[Table] header: Club | Wins | Losses | Draws | Against row 1 : Mortlake | 12 | 3 | 0 | 1019
row 2 : Warrnambool | 10 | 5 | 0 | 1169
row 3 : Terang | 9 | 6 | 0 | 1086
row 4 : South Warrnambool | 8 | 7 | 0 | 967
row 5 : Camperdown | 5 | 10 | 0 | 1516
row 6 : Cobden | 1 | 14 | 0 | 1487 [/Table] Answer this question based on the above table: When South warrnambool has more than 8 wins, what is the least amount of losses?

Answer: none
[Table] header: Club | Wins | Losses | Draws | Against row 1 : Mortlake | 12 | 3 | 0 | 1019
row 2 : Warrnambool | 10 | 5 | 0 | 1169
row 3 : Terang | 9 | 6 | 0 | 1086
row 4 : South Warrnambool | 8 | 7 | 0 | 967
row 5 : Camperdown | 5 | 10 | 0 | 1516
row 6 : Cobden | 1 | 14 | 0 | 1487 [/Table] Answer this question based on the above table: Cobden has more than 1487 against and what average of losses?

Answer: none
[Table] header: Rank | Athlete | Country | Time | Notes row 1 : 1 | Ondřej Synek | Czech Republic | 7:03.57 | FA
row 2 : 2 | Alan Campbell | Great Britain | 7:05.24 | FA
row 3 : 3 | Mahé Drysdale | New Zealand | 7:05.57 | FA
row 4 : 4 | Ioannis Christou | Greece | 7:06.02 | FB
row 5 : 5 | Ken Jurkowski | United States | 7:11.52 | FB
row 6 : 6 | Mindaugas Griskonis | Lithuania | 7:20.32 | FB [/Table] Answer this question based on the above table: What is the Rank of the Player with a Time of 7:20.32 and Notes of FB?

Answer: 1.0
[Table] header: Rank | Athlete | Country | Time | Notes row 1 : 1 | Ondřej Synek | Czech Republic | 7:03.57 | FA
row 2 : 2 | Alan Campbell | Great Britain | 7:05.24 | FA
row 3 : 3 | Mahé Drysdale | New Zealand | 7:05.57 | FA
row 4 : 4 | Ioannis Christou | Greece | 7:06.02 | FB
row 5 : 5 | Ken Jurkowski | United States | 7:11.52 | FB
row 6 : 6 | Mindaugas Griskonis | Lithuania | 7:20.32 | FB [/Table] Answer this question based on the above table: What is the Time of the Player with a Rank of 2?

Answer: 7:05.24
[Table] header: Rank | Athlete | Country | Time | Notes row 1 : 1 | Ondřej Synek | Czech Republic | 7:03.57 | FA
row 2 : 2 | Alan Campbell | Great Britain | 7:05.24 | FA
row 3 : 3 | Mahé Drysdale | New Zealand | 7:05.57 | FA
row 4 : 4 | Ioannis Christou | Greece | 7:06.02 | FB
row 5 : 5 | Ken Jurkowski | United States | 7:11.52 | FB
row 6 : 6 | Mindaugas Griskonis | Lithuania | 7:20.32 | FB [/Table] Answer this question based on the above table: What is Alan Campbell's Country with Notes of FA?

Answer: Great Britain
[Table] header: Season | League | Division | Coach | Result row 1 : 1995-96 | ECHL | South | Doug Shedden | Lost in Round 1
row 2 : 1996-97 | ECHL | South | Doug Shedden | Lost in Finals
row 3 : 1997-98 | ECHL | Southwest | Doug Shedden | Lost in Round 3
row 4 : 1998-99 | ECHL | Southwest | Doug Shedden | Lost in Round 2
row 5 : 1999-00 | ECHL | Southwest | Don Murdoch | Lost in Finals
row 6 : 2000-01 | ECHL | Southwest | Dave Farrish | Lost in Round 4
row 7 : 2001-02 | ECHL | Southwest | Dave Farrish | Lost in Round 2
row 8 : 2002-03 | ECHL | Southwest | Dave Farrish | Lost in Round 2
row 9 : 2003-04 | ECHL | Central | Dave Farrish | Lost in Round 2
row 10 : 2004-05 | ECHL | South | Todd Gordon | Did Not Qualify [/Table] Answer this question based on the above table: What was the result of the 2000-01 season in which the IceGators were part of the Southwest division and were coached by Dave Farrish?

Answer: Lost in Round 4
[Table] header: Season | League | Division | Coach | Result row 1 : 1995-96 | ECHL | South | Doug Shedden | Lost in Round 1
row 2 : 1996-97 | ECHL | South | Doug Shedden | Lost in Finals
row 3 : 1997-98 | ECHL | Southwest | Doug Shedden | Lost in Round 3
row 4 : 1998-99 | ECHL | Southwest | Doug Shedden | Lost in Round 2
row 5 : 1999-00 | ECHL | Southwest | Don Murdoch | Lost in Finals
row 6 : 2000-01 | ECHL | Southwest | Dave Farrish | Lost in Round 4
row 7 : 2001-02 | ECHL | Southwest | Dave Farrish | Lost in Round 2
row 8 : 2002-03 | ECHL | Southwest | Dave Farrish | Lost in Round 2
row 9 : 2003-04 | ECHL | Central | Dave Farrish | Lost in Round 2
row 10 : 2004-05 | ECHL | South | Todd Gordon | Did Not Qualify [/Table] Answer this question based on the above table: In which division were the IceGators when coached by Todd Gordon?

Answer: South
[Table] header: Rank | Lane | Name | Nationality | Time row 1 : 1 | 6 | Kirsty Coventry | Zimbabwe | 2:09.53
row 2 : 2 | 3 | Stephanie Rice | Australia | 2:10.58
row 3 : 3 | 4 | Katie Hoff | United States | 2:10.90
row 4 : 4 | 2 | Katarzyna Baranowska | Poland | 2:12.13
row 5 : 5 | 5 | Hannah Miley | Great Britain | 2:12.35
row 6 : 6 | 8 | Svetlana Karpeeva | Russia | 2:13.26
row 7 : 7 | 1 | Mireia Belmonte Garcí | Spain | 2:13.45
row 8 : 8 | 7 | Li Jiaxing | China | 2:13.47 [/Table] Answer this question based on the above table: What is the average rank of a swimmer in lane 1?

Answer: 7.0
[Table] header: Rank | Lane | Name | Nationality | Time row 1 : 1 | 6 | Kirsty Coventry | Zimbabwe | 2:09.53
row 2 : 2 | 3 | Stephanie Rice | Australia | 2:10.58
row 3 : 3 | 4 | Katie Hoff | United States | 2:10.90
row 4 : 4 | 2 | Katarzyna Baranowska | Poland | 2:12.13
row 5 : 5 | 5 | Hannah Miley | Great Britain | 2:12.35
row 6 : 6 | 8 | Svetlana Karpeeva | Russia | 2:13.26
row 7 : 7 | 1 | Mireia Belmonte Garcí | Spain | 2:13.45
row 8 : 8 | 7 | Li Jiaxing | China | 2:13.47 [/Table] Answer this question based on the above table: What is the name of the swimmer in lane 6?

Answer: Kirsty Coventry
[Table] header: Medal | Name | Sport | Event | Date row 1 : Gold | Thomas Geierspichler | Athletics | Men's Marathon - T52 | 17
row 2 : Gold | Andrea Scherney | Athletics | Women's Long Jump - F44 | 9
row 3 : Gold | Wolfgang Schattauer | Cycling | Men's Individual Road Time Trial -  | 12
row 4 : Gold | Andreas Vevera | Table Tennis | Men's Singles - TT1 | 11
row 5 : Silver | Wolfgang Eibeck | Cycling | Men's Individual Road Time Trial -  | 12
row 6 : Bronze | Thomas Geierspichler | Athletics | Men's 800 m - T52 | 16 [/Table] Answer this question based on the above table: What is the earliest date for the bronze medal?

Answer: 16.0
[Table] header: Medal | Name | Sport | Event | Date row 1 : Gold | Thomas Geierspichler | Athletics | Men's Marathon - T52 | 17
row 2 : Gold | Andrea Scherney | Athletics | Women's Long Jump - F44 | 9
row 3 : Gold | Wolfgang Schattauer | Cycling | Men's Individual Road Time Trial -  | 12
row 4 : Gold | Andreas Vevera | Table Tennis | Men's Singles - TT1 | 11
row 5 : Silver | Wolfgang Eibeck | Cycling | Men's Individual Road Time Trial -  | 12
row 6 : Bronze | Thomas Geierspichler | Athletics | Men's 800 m - T52 | 16 [/Table] Answer this question based on the above table: Who had the sport of athletics on a date earlier than 16?

Answer: Andrea Scherney
[Table] header: Medal | Name | Sport | Event | Date row 1 : Gold | Thomas Geierspichler | Athletics | Men's Marathon - T52 | 17
row 2 : Gold | Andrea Scherney | Athletics | Women's Long Jump - F44 | 9
row 3 : Gold | Wolfgang Schattauer | Cycling | Men's Individual Road Time Trial -  | 12
row 4 : Gold | Andreas Vevera | Table Tennis | Men's Singles - TT1 | 11
row 5 : Silver | Wolfgang Eibeck | Cycling | Men's Individual Road Time Trial -  | 12
row 6 : Bronze | Thomas Geierspichler | Athletics | Men's 800 m - T52 | 16 [/Table] Answer this question based on the above table: what is the sport for wolfgang schattauer?

Answer: Cycling
[Table] header: Medal | Name | Sport | Event | Date row 1 : Gold | Thomas Geierspichler | Athletics | Men's Marathon - T52 | 17
row 2 : Gold | Andrea Scherney | Athletics | Women's Long Jump - F44 | 9
row 3 : Gold | Wolfgang Schattauer | Cycling | Men's Individual Road Time Trial -  | 12
row 4 : Gold | Andreas Vevera | Table Tennis | Men's Singles - TT1 | 11
row 5 : Silver | Wolfgang Eibeck | Cycling | Men's Individual Road Time Trial -  | 12
row 6 : Bronze | Thomas Geierspichler | Athletics | Men's 800 m - T52 | 16 [/Table] Answer this question based on the above table: what is the date when the medal is bronze for athletics?

Answer: 16.0
[Table] header: Year | Place | Gold | Silver | Bronze row 1 : 1937 | Helsinki | Jacques Louis Mazoyer ( FRA  | Viljo Leskinen ( FIN ) | Gustav Lokotar ( EST )
row 2 : 1939 | Luzern | Karl Steigelmann ( GER ) | August Liivik ( EST ) | Kurt Johansson ( SWE 
row 3 : 1949 | Buenos Aires | Pauli Aapeli Janhonen | Arthur Edwin Cook ( USA ) | Erling Asbjoern Kongsh
row 4 : 1952 | Oslo | Erling Asbjoern Kongsh | Robert Buerchler ( SUI ) | Johan Hunaes ( NOR
row 5 : 1954 | Caracas | Anatoli Bogdanov ( URS  | Vassily Borisov ( URS | Vilho Ilmari Yloen
row 6 : 1958 | Moscow | Victor Shamburkin ( URS ) | Marat Niyazov ( URS  | Moysey Itkis ( 
row 7 : 1962 | Cairo | Gary Anderson ( USA ) | Marat Niyazov ( URS  | Erwin Vogt ( SUI )
row 8 : 1966 | Wiesbaden | Gary Anderson ( USA ) | Marat Niyazov ( URS  | Henryk Gorski ( POL )
row 9 : 1970 | Phoenix | Vitali Parkhimovitch ( URS | John Writer ( USA ) | Lones Wigger ( USA )
row 10 : 1974 | Thun | John Writer ( USA ) | Lones Wigger ( USA ) | Lanny Bassham ( USA )
row 11 : 1978 | Seoul | Lanny Bassham ( USA ) | Malcolm Cooper ( GBR ) | Ulrich Lind ( FRG )
row 12 : 1982 | Caracas | Vladimir Lvov ( URS ) | Peter Heinz ( FRG ) | Viktor Vlasov ( URS
row 13 : 1986 | Suhl | Petr Kurka ( TCH ) | Malcolm Cooper ( GBR ) | Pavel Soukenik ( TCH )
row 14 : 1990 | Moscow | Eun Chul Lee ( KOR ) | Robert Foth ( USA ) | Hrachya Petikyan ( 
row 15 : 1994 | Milan | Petr Kurka ( CZE ) | Thomas Tamas ( USA ) | Wolfram Jun. Waibel ( AUT
row 16 : 1998 | Barcelona | Jozef Gönci ( SV | Pascal Bessy ( FRA ) | Rajmond Debevec ( SLO 
row 17 : 2002 | Lahti | Marcel Buerge ( SUI ) | Konstantin Prikhodtch | Peter Sidi ( HUN )
row 18 : 2006 | Zagreb | Artem Khadjibekov ( R | Stevan Pletikosic ( SCG | Lei Zhang ( CHN )
row 19 : 2010 | Munich | Peter Sidi ( HUN ) | Han Jinseop ( KOR  | Nemanja Mirosavljev [/Table] Answer this question based on the above table: What gold has a year after 1970, with milan as the place?

Answer: Petr Kurka ( CZE )
[Table] header: City | System | Category | Daily ridership | As of | Opened | Stations row 1 : Vancouver, BC | SkyTrain (Vancouver) | ICTS | 354,000 | 2009 | 1985 | 47
row 2 : Toronto , Ontario | Toronto streetcar system | Streetcar | 275,200 | 4Q2009 | 1861 | N/A
row 3 : Calgary, Alberta | C-Train | Light rail | 269,600 | 2012 | 1981 | 44
row 4 : Edmonton, Alberta | Edmonton LRT | Light rail | 93,600 | 2010 | 1978 | 15
row 5 : Toronto , Ontario | Scarborough RT | ICTS | 42,250 | 2009 | 1985 | 6
row 6 : Ottawa, Ontario | O-Train | Diesel light rail | 12,200 | 4Q2009 | 2001 | 5 [/Table] Answer this question based on the above table: Which Opened has a System of c-train, and a Daily ridership smaller than 269,600?

Answer: none
[Table] header: City | System | Category | Daily ridership | As of | Opened | Stations row 1 : Vancouver, BC | SkyTrain (Vancouver) | ICTS | 354,000 | 2009 | 1985 | 47
row 2 : Toronto , Ontario | Toronto streetcar system | Streetcar | 275,200 | 4Q2009 | 1861 | N/A
row 3 : Calgary, Alberta | C-Train | Light rail | 269,600 | 2012 | 1981 | 44
row 4 : Edmonton, Alberta | Edmonton LRT | Light rail | 93,600 | 2010 | 1978 | 15
row 5 : Toronto , Ontario | Scarborough RT | ICTS | 42,250 | 2009 | 1985 | 6
row 6 : Ottawa, Ontario | O-Train | Diesel light rail | 12,200 | 4Q2009 | 2001 | 5 [/Table] Answer this question based on the above table: Which Stations are in vancouver, bc?

Answer: 47.0
[Table] header: City | System | Category | Daily ridership | As of | Opened | Stations row 1 : Vancouver, BC | SkyTrain (Vancouver) | ICTS | 354,000 | 2009 | 1985 | 47
row 2 : Toronto , Ontario | Toronto streetcar system | Streetcar | 275,200 | 4Q2009 | 1861 | N/A
row 3 : Calgary, Alberta | C-Train | Light rail | 269,600 | 2012 | 1981 | 44
row 4 : Edmonton, Alberta | Edmonton LRT | Light rail | 93,600 | 2010 | 1978 | 15
row 5 : Toronto , Ontario | Scarborough RT | ICTS | 42,250 | 2009 | 1985 | 6
row 6 : Ottawa, Ontario | O-Train | Diesel light rail | 12,200 | 4Q2009 | 2001 | 5 [/Table] Answer this question based on the above table: Which category has 5 stations?

Answer: Diesel light rail
[Table] header: City | System | Category | Daily ridership | As of | Opened | Stations row 1 : Vancouver, BC | SkyTrain (Vancouver) | ICTS | 354,000 | 2009 | 1985 | 47
row 2 : Toronto , Ontario | Toronto streetcar system | Streetcar | 275,200 | 4Q2009 | 1861 | N/A
row 3 : Calgary, Alberta | C-Train | Light rail | 269,600 | 2012 | 1981 | 44
row 4 : Edmonton, Alberta | Edmonton LRT | Light rail | 93,600 | 2010 | 1978 | 15
row 5 : Toronto , Ontario | Scarborough RT | ICTS | 42,250 | 2009 | 1985 | 6
row 6 : Ottawa, Ontario | O-Train | Diesel light rail | 12,200 | 4Q2009 | 2001 | 5 [/Table] Answer this question based on the above table: Which Opened has a Category of diesel light rail?

Answer: 2001.0
[Table] header: Date | Time (CET) | Res. | Round | Attendance row 1 : 11 June 2006 | 21:00 | 0–1 | Group D | 45,000
row 2 : 17 June 2006 | 17:00 | 0–2 | Group E | 45,000
row 3 : 20 June 2006 | 18:00 | 2–2 | Group B | 45,000
row 4 : 23 June 2006 | 20:00 | 0–2 | Group G | 45,000
row 5 : 26 June 2006 | 21:00 | 0–0 (0–3p) | Round of 16 | 45,000 [/Table] Answer this question based on the above table: What is the highest attendance among Group E games?

Answer: 45000.0
[Table] header: Position | Team | Played | Wins | Draws | Losses | Scored | Conceded | Points row 1 : 1 | Olimpia | 18 | 11 | 5 | 2 | 38 | 20 | 38
row 2 : 2 | Sol de América | 18 | 9 | 5 | 4 | 27 | 21 | 32
row 3 : 3 | Guaraní | 18 | 9 | 5 | 4 | 28 | 16 | 32
row 4 : 4 | 12 de Octubre | 18 | 8 | 3 | 7 | 21 | 22 | 27
row 5 : 5 | San Lorenzo | 18 | 7 | 6 | 5 | 18 | 16 | 27
row 6 : 6 | Cerro Porteño | 18 | 7 | 5 | 6 | 22 | 17 | 26
row 7 : 7 | Sportivo Luqueño | 18 | 6 | 5 | 7 | 25 | 31 | 23
row 8 : 8 | Atl. Colegiales | 18 | 6 | 2 | 10 | 20 | 25 | 20
row 9 : 9 | Cerro Corá | 18 | 4 | 4 | 10 | 17 | 27 | 16
row 10 : 10 | Universal | 18 | 2 | 2 | 14 | 20 | 41 | 8 [/Table] Answer this question based on the above table: How many total games were played by the team which had a total of 16 points and less than 4 draws?

Answer: none
[Table] header: Position | Team | Played | Wins | Draws | Losses | Scored | Conceded | Points row 1 : 1 | Olimpia | 18 | 11 | 5 | 2 | 38 | 20 | 38
row 2 : 2 | Sol de América | 18 | 9 | 5 | 4 | 27 | 21 | 32
row 3 : 3 | Guaraní | 18 | 9 | 5 | 4 | 28 | 16 | 32
row 4 : 4 | 12 de Octubre | 18 | 8 | 3 | 7 | 21 | 22 | 27
row 5 : 5 | San Lorenzo | 18 | 7 | 6 | 5 | 18 | 16 | 27
row 6 : 6 | Cerro Porteño | 18 | 7 | 5 | 6 | 22 | 17 | 26
row 7 : 7 | Sportivo Luqueño | 18 | 6 | 5 | 7 | 25 | 31 | 23
row 8 : 8 | Atl. Colegiales | 18 | 6 | 2 | 10 | 20 | 25 | 20
row 9 : 9 | Cerro Corá | 18 | 4 | 4 | 10 | 17 | 27 | 16
row 10 : 10 | Universal | 18 | 2 | 2 | 14 | 20 | 41 | 8 [/Table] Answer this question based on the above table: How many points are in the scored category for the team that has less than 5 draws, 8 total wins, and total overall points less than 27?

Answer: 0.0
[Table] header: Position | Team | Played | Wins | Draws | Losses | Scored | Conceded | Points row 1 : 1 | Olimpia | 18 | 11 | 5 | 2 | 38 | 20 | 38
row 2 : 2 | Sol de América | 18 | 9 | 5 | 4 | 27 | 21 | 32
row 3 : 3 | Guaraní | 18 | 9 | 5 | 4 | 28 | 16 | 32
row 4 : 4 | 12 de Octubre | 18 | 8 | 3 | 7 | 21 | 22 | 27
row 5 : 5 | San Lorenzo | 18 | 7 | 6 | 5 | 18 | 16 | 27
row 6 : 6 | Cerro Porteño | 18 | 7 | 5 | 6 | 22 | 17 | 26
row 7 : 7 | Sportivo Luqueño | 18 | 6 | 5 | 7 | 25 | 31 | 23
row 8 : 8 | Atl. Colegiales | 18 | 6 | 2 | 10 | 20 | 25 | 20
row 9 : 9 | Cerro Corá | 18 | 4 | 4 | 10 | 17 | 27 | 16
row 10 : 10 | Universal | 18 | 2 | 2 | 14 | 20 | 41 | 8 [/Table] Answer this question based on the above table: How many points are in the scored category for the team that played less than 18 games?

Answer: none
[Table] header: Position | Team | Played | Wins | Draws | Losses | Scored | Conceded | Points row 1 : 1 | Olimpia | 18 | 11 | 5 | 2 | 38 | 20 | 38
row 2 : 2 | Sol de América | 18 | 9 | 5 | 4 | 27 | 21 | 32
row 3 : 3 | Guaraní | 18 | 9 | 5 | 4 | 28 | 16 | 32
row 4 : 4 | 12 de Octubre | 18 | 8 | 3 | 7 | 21 | 22 | 27
row 5 : 5 | San Lorenzo | 18 | 7 | 6 | 5 | 18 | 16 | 27
row 6 : 6 | Cerro Porteño | 18 | 7 | 5 | 6 | 22 | 17 | 26
row 7 : 7 | Sportivo Luqueño | 18 | 6 | 5 | 7 | 25 | 31 | 23
row 8 : 8 | Atl. Colegiales | 18 | 6 | 2 | 10 | 20 | 25 | 20
row 9 : 9 | Cerro Corá | 18 | 4 | 4 | 10 | 17 | 27 | 16
row 10 : 10 | Universal | 18 | 2 | 2 | 14 | 20 | 41 | 8 [/Table] Answer this question based on the above table: How many points are in the scored category for the team that has 8 total points and a position that is less than 10?

Answer: none
[Table] header: Position | Team | Played | Wins | Draws | Losses | Scored | Conceded | Points row 1 : 1 | Olimpia | 18 | 11 | 5 | 2 | 38 | 20 | 38
row 2 : 2 | Sol de América | 18 | 9 | 5 | 4 | 27 | 21 | 32
row 3 : 3 | Guaraní | 18 | 9 | 5 | 4 | 28 | 16 | 32
row 4 : 4 | 12 de Octubre | 18 | 8 | 3 | 7 | 21 | 22 | 27
row 5 : 5 | San Lorenzo | 18 | 7 | 6 | 5 | 18 | 16 | 27
row 6 : 6 | Cerro Porteño | 18 | 7 | 5 | 6 | 22 | 17 | 26
row 7 : 7 | Sportivo Luqueño | 18 | 6 | 5 | 7 | 25 | 31 | 23
row 8 : 8 | Atl. Colegiales | 18 | 6 | 2 | 10 | 20 | 25 | 20
row 9 : 9 | Cerro Corá | 18 | 4 | 4 | 10 | 17 | 27 | 16
row 10 : 10 | Universal | 18 | 2 | 2 | 14 | 20 | 41 | 8 [/Table] Answer this question based on the above table: How many loses does the team have that conceded 25 and won more than 6 games?

Answer: none
[Table] header: Position | Team | Played | Wins | Draws | Losses | Scored | Conceded | Points row 1 : 1 | Olimpia | 18 | 11 | 5 | 2 | 38 | 20 | 38
row 2 : 2 | Sol de América | 18 | 9 | 5 | 4 | 27 | 21 | 32
row 3 : 3 | Guaraní | 18 | 9 | 5 | 4 | 28 | 16 | 32
row 4 : 4 | 12 de Octubre | 18 | 8 | 3 | 7 | 21 | 22 | 27
row 5 : 5 | San Lorenzo | 18 | 7 | 6 | 5 | 18 | 16 | 27
row 6 : 6 | Cerro Porteño | 18 | 7 | 5 | 6 | 22 | 17 | 26
row 7 : 7 | Sportivo Luqueño | 18 | 6 | 5 | 7 | 25 | 31 | 23
row 8 : 8 | Atl. Colegiales | 18 | 6 | 2 | 10 | 20 | 25 | 20
row 9 : 9 | Cerro Corá | 18 | 4 | 4 | 10 | 17 | 27 | 16
row 10 : 10 | Universal | 18 | 2 | 2 | 14 | 20 | 41 | 8 [/Table] Answer this question based on the above table: Out of the teams that have scored lower than 25 points, have a total of points less than 20, and a position larger than 8, which has the lowest amount of draws?

Answer: none
[Table] header: Rank | Nation | Gold | Silver | Bronze | Total row 1 : 1 | USSR | 112 | 85 | 58 | 255
row 2 : 2 | China | 70 | 45 | 34 | 149
row 3 : 3 | Romania | 47 | 43 | 41 | 131
row 4 : 4 | Japan | 40 | 44 | 58 | 142
row 5 : 5 | Czechoslovakia (1) | 39 | 38 | 30 | 106
row 6 : 6 | United States | 39 | 36 | 27 | 102
row 7 : 7 | Russia | 26 | 33 | 24 | 83
row 8 : 8 | France | 25 | 29 | 22 | 76
row 9 : 9 | Germany (2) | 24 | 27 | 43 | 94
row 10 : 10 | Switzerland | 19 | 16 | 14 | 49
row 11 : 11 | Yugoslavia | 17 | 11 | 9 | 37
row 12 : 12 | Italy | 14 | 8 | 26 | 47
row 13 : 13 | Belarus | 14 | 7 | 11 | 32
row 14 : 14 | Hungary | 10 | 15 | 8 | 33
row 15 : 15 | South Korea | 6 | 2 | 2 | 10
row 16 : 16 | Ukraine | 5 | 7 | 14 | 26
row 17 : 17 | Bulgaria | 5 | 6 | 13 | 24
row 18 : 18 | CIS | 5 | 3 | 5 | 13
row 19 : 19 | Poland | 5 | 2 | 9 | 16
row 20 : 20 | Brazil | 4 | 3 | 3 | 10
row 21 : 21 | North Korea | 4 | 2 | 3 | 9
row 22 : 22 | Greece | 4 | 2 | 2 | 8
row 23 : 23 | Netherlands | 3 | 6 | 2 | 11
row 24 : 24 | Great Britain | 3 | 5 | 6 | 14
row 25 : 25 | Slovenia | 3 | 4 | 0 | 7
row 26 : 26 | Spain | 3 | 3 | 1 | 7
row 27 : 27 | Sweden | 3 | 1 | 2 | 6
row 28 : 28 | Finland | 2 | 5 | 1 | 8
row 29 : 29 | Australia | 2 | 4 | 4 | 10
row 30 : 30 | Uzbekistan | 1 | 2 | 4 | 7
row 31 : 31 | Austria | 1 | 1 | 1 | 3
row 32 : 32 | Luxembourg | 1 | 0 | 4 | 5
row 33 : 33 | Kazakhstan | 1 | 0 | 0 | 1
row 34 : 34 | Belgium | 0 | 4 | 5 | 9
row 35 : 35 | Canada | 0 | 3 | 5 | 8
row 36 : 36 | Latvia | 0 | 2 | 1 | 3
row 37 : 37 | Cuba | 0 | 1 | 2 | 3
row 38 : 38 | Chinese Taipei | 0 | 1 | 0 | 1
row 39 : 38 | Mexico | 0 | 1 | 0 | 1
row 40 : 40 | Israel | 0 | 0 | 2 | 2
row 41 : 41 | Azerbaijan | 0 | 0 | 1 | 1
row 42 : 41 | Puerto Rico | 0 | 0 | 1 | 1
row 43 : 41 | Vietnam | 0 | 0 | 1 | 1 [/Table] Answer this question based on the above table: How many bronze medals did the nation have that had less than 3 silver, 5 gold and ranked better than 31?

Answer: 9.0
[Table] header: Rank | Nation | Gold | Silver | Bronze | Total row 1 : 1 | USSR | 112 | 85 | 58 | 255
row 2 : 2 | China | 70 | 45 | 34 | 149
row 3 : 3 | Romania | 47 | 43 | 41 | 131
row 4 : 4 | Japan | 40 | 44 | 58 | 142
row 5 : 5 | Czechoslovakia (1) | 39 | 38 | 30 | 106
row 6 : 6 | United States | 39 | 36 | 27 | 102
row 7 : 7 | Russia | 26 | 33 | 24 | 83
row 8 : 8 | France | 25 | 29 | 22 | 76
row 9 : 9 | Germany (2) | 24 | 27 | 43 | 94
row 10 : 10 | Switzerland | 19 | 16 | 14 | 49
row 11 : 11 | Yugoslavia | 17 | 11 | 9 | 37
row 12 : 12 | Italy | 14 | 8 | 26 | 47
row 13 : 13 | Belarus | 14 | 7 | 11 | 32
row 14 : 14 | Hungary | 10 | 15 | 8 | 33
row 15 : 15 | South Korea | 6 | 2 | 2 | 10
row 16 : 16 | Ukraine | 5 | 7 | 14 | 26
row 17 : 17 | Bulgaria | 5 | 6 | 13 | 24
row 18 : 18 | CIS | 5 | 3 | 5 | 13
row 19 : 19 | Poland | 5 | 2 | 9 | 16
row 20 : 20 | Brazil | 4 | 3 | 3 | 10
row 21 : 21 | North Korea | 4 | 2 | 3 | 9
row 22 : 22 | Greece | 4 | 2 | 2 | 8
row 23 : 23 | Netherlands | 3 | 6 | 2 | 11
row 24 : 24 | Great Britain | 3 | 5 | 6 | 14
row 25 : 25 | Slovenia | 3 | 4 | 0 | 7
row 26 : 26 | Spain | 3 | 3 | 1 | 7
row 27 : 27 | Sweden | 3 | 1 | 2 | 6
row 28 : 28 | Finland | 2 | 5 | 1 | 8
row 29 : 29 | Australia | 2 | 4 | 4 | 10
row 30 : 30 | Uzbekistan | 1 | 2 | 4 | 7
row 31 : 31 | Austria | 1 | 1 | 1 | 3
row 32 : 32 | Luxembourg | 1 | 0 | 4 | 5
row 33 : 33 | Kazakhstan | 1 | 0 | 0 | 1
row 34 : 34 | Belgium | 0 | 4 | 5 | 9
row 35 : 35 | Canada | 0 | 3 | 5 | 8
row 36 : 36 | Latvia | 0 | 2 | 1 | 3
row 37 : 37 | Cuba | 0 | 1 | 2 | 3
row 38 : 38 | Chinese Taipei | 0 | 1 | 0 | 1
row 39 : 38 | Mexico | 0 | 1 | 0 | 1
row 40 : 40 | Israel | 0 | 0 | 2 | 2
row 41 : 41 | Azerbaijan | 0 | 0 | 1 | 1
row 42 : 41 | Puerto Rico | 0 | 0 | 1 | 1
row 43 : 41 | Vietnam | 0 | 0 | 1 | 1 [/Table] Answer this question based on the above table: What's the bronze medal count of Spain that has less than 39 Gold, 3 silver, and a rank better than 35?

Answer: 1.0