sail/symbolic-instruction-tuning huggingface dataset:
[Table] header: Year | Formula | Driver | Constructor | Location | Report row 1 : 1902 | Grand Prix | Charles Jarrott | Panhard 70 | Bastogne | Report
row 2 : 1903 | Grand Prix | Pierre de Crawhez | Panhard 70 | Bastogne | Report
row 3 : 1904 | Grand Prix | George Heath | Panhard 70 | Bastogne | Report
row 4 : 1905 | Grand Prix | Victor Hémery | Darracq | Bastogne | Report
row 5 : 1906 | Grand Prix | Arthur Duray | Lorraine-Dietrich | Bastogne | Report
row 6 : 1907 | Grand Prix | Pierre de Caters | Mercedes-Benz | Bastogne | Report [/Table] Answer this question based on the above table: What is the total number of drivers who have cars constructed by Mercedes-Benz?

Answer: 1.0
[Table] header: Year | Formula | Driver | Constructor | Location | Report row 1 : 1902 | Grand Prix | Charles Jarrott | Panhard 70 | Bastogne | Report
row 2 : 1903 | Grand Prix | Pierre de Crawhez | Panhard 70 | Bastogne | Report
row 3 : 1904 | Grand Prix | George Heath | Panhard 70 | Bastogne | Report
row 4 : 1905 | Grand Prix | Victor Hémery | Darracq | Bastogne | Report
row 5 : 1906 | Grand Prix | Arthur Duray | Lorraine-Dietrich | Bastogne | Report
row 6 : 1907 | Grand Prix | Pierre de Caters | Mercedes-Benz | Bastogne | Report [/Table] Answer this question based on the above table: What is the location of the car that has a constructor of Lorraine-Dietrich?

Answer: Bastogne
[Table] header: Year | Formula | Driver | Constructor | Location | Report row 1 : 1902 | Grand Prix | Charles Jarrott | Panhard 70 | Bastogne | Report
row 2 : 1903 | Grand Prix | Pierre de Crawhez | Panhard 70 | Bastogne | Report
row 3 : 1904 | Grand Prix | George Heath | Panhard 70 | Bastogne | Report
row 4 : 1905 | Grand Prix | Victor Hémery | Darracq | Bastogne | Report
row 5 : 1906 | Grand Prix | Arthur Duray | Lorraine-Dietrich | Bastogne | Report
row 6 : 1907 | Grand Prix | Pierre de Caters | Mercedes-Benz | Bastogne | Report [/Table] Answer this question based on the above table: How many times did Charles Jarrott report?

Answer: 1.0
[Table] header: Year | Formula | Driver | Constructor | Location | Report row 1 : 1902 | Grand Prix | Charles Jarrott | Panhard 70 | Bastogne | Report
row 2 : 1903 | Grand Prix | Pierre de Crawhez | Panhard 70 | Bastogne | Report
row 3 : 1904 | Grand Prix | George Heath | Panhard 70 | Bastogne | Report
row 4 : 1905 | Grand Prix | Victor Hémery | Darracq | Bastogne | Report
row 5 : 1906 | Grand Prix | Arthur Duray | Lorraine-Dietrich | Bastogne | Report
row 6 : 1907 | Grand Prix | Pierre de Caters | Mercedes-Benz | Bastogne | Report [/Table] Answer this question based on the above table: Who is the driver of the entry constructed by Mercedes-Benz?

Answer: Pierre de Caters
[Table] header: Graphics mode | Char cells | Pixels | Hardware colours | used (KB) | map | Type row 1 : 0 | 80 × 32 | 640 × 256 | 2 | 20 | 3000–7FFF | Graphics
row 2 : 1 | 40 × 32 | 320 × 256 | 4 | 20 | 3000–7FFF | Graphics
row 3 : 2 | 20 × 32 | 160 × 256 | 8 | 20 | 3000–7FFF | Graphics
row 4 : 3 | 80 × 25 | 640 × 200 | 2 | 16 | 4000–7FFF | Text
row 5 : 4 | 40 × 32 | 320 × 256 | 2 | 10 | 5800–7FFF | Graphics
row 6 : 5 | 20 × 32 | 160 × 256 | 4 | 10 | 5800–7FFF | Graphics
row 7 : 6 | 40 × 25 | 320 × 200 | 2 | 8 | 6000–7FFF | Text [/Table] Answer this question based on the above table: What is the used (kb) when the graphics mode is 4?

Answer: 10.0
[Table] header: Graphics mode | Char cells | Pixels | Hardware colours | used (KB) | map | Type row 1 : 0 | 80 × 32 | 640 × 256 | 2 | 20 | 3000–7FFF | Graphics
row 2 : 1 | 40 × 32 | 320 × 256 | 4 | 20 | 3000–7FFF | Graphics
row 3 : 2 | 20 × 32 | 160 × 256 | 8 | 20 | 3000–7FFF | Graphics
row 4 : 3 | 80 × 25 | 640 × 200 | 2 | 16 | 4000–7FFF | Text
row 5 : 4 | 40 × 32 | 320 × 256 | 2 | 10 | 5800–7FFF | Graphics
row 6 : 5 | 20 × 32 | 160 × 256 | 4 | 10 | 5800–7FFF | Graphics
row 7 : 6 | 40 × 25 | 320 × 200 | 2 | 8 | 6000–7FFF | Text [/Table] Answer this question based on the above table: If graphics mode is less than 1.0, what are the char cells?

Answer: 80 × 32
[Table] header: Number | Previous Number(s) | Previous Class | Converted | Use | Withdrawn | Disposal row 1 : 1 | 68845 | J52 | 1952 | Steam shunter | 1958 | Scrapped (1958)
row 2 : 2 (1st) | 68816 | J52 | 1952 | Steam shunter | 1956 | Scrapped (1956)
row 3 : 2 (2nd) | 68858 | J52 | 1956 | Steam shunter | 1961 | Scrapped (1961)
row 4 : 3 | 68181 | Y3 | 1952 | Steam shunter | 1959 | Scrapped (1959)
row 5 : 4 | 68132 | Y1 | 1952 | Steam shunter | 1959 | Scrapped (1959)
row 6 : 5 | 68165 | Y3 | 1953 | Steam shunter | 1958 | Scrapped (1958)
row 7 : 6 | 68133 | Y1 | 1953 | Steam shunter | 1955 | Scrapped (1955)
row 8 : 7 | 68166 | Y3 | 1953 | Steam shunter | 1964 | Scrapped (1964)
row 9 : 8 | 68183 | Y3 | 1955 | Steam shunter | 1959 | Scrapped (1959)
row 10 : 9 | 68840 | J52 | 1958 | Steam shunter | 1961 | Scrapped (1961)
row 11 : 10 | 68911 | J50 | 1961 | Steam shunter | 1965 | Scrapped (1965)
row 12 : 11 | 68914 | J50 | 1961 | Steam shunter | 1965 | Scrapped (1965)
row 13 : 12 | 68917 | J50 | 1962 | Steam shunter | 1965 | Scrapped (1965)
row 14 : 13 | 68928 | J50 | 1962 | Steam shunter | 1965 | Scrapped (1965)
row 15 : 14 | 68961 | J50 | 1962 | Steam shunter | 1965 | Scrapped (1965)
row 16 : 15 | 68971 | J50 | 1962 | Steam shunter | 1965 | Scrapped (1965)
row 17 : 16 | 68976 | J50 | 1962 | Steam shunter | 1965 | Scrapped (1965)
row 18 : 17 | 61059 | B1 | 1963 | Stationary boiler for carriage warming | 1966 | Scrapped (1966)
row 19 : 18 | 61181 | B1 | 1963 | Stationary boiler for carriage warming | 1965 | Scrapped (1966)
row 20 : 19 | 61204 | B1 | 1963 | Stationary boiler for carriage warming | 1966 | Scrapped (1966)
row 21 : 20 | 61205 | B1 | 1963 | Stationary boiler for carriage warming | 1965 | Scrapped (1966)
row 22 : 21 (1st) | 68162 | Y3 | 1956 | Steam shunter | 1960 | Scrapped (1960)
row 23 : 21 (2nd) | 61233 | B1 | 1963 | Stationary boiler for carriage warming | 1966 | Scrapped (1966)
row 24 : 22 | 61252 | B1 | 1963 | Stationary boiler for carriage warming | 1964 | Scrapped (1966)
row 25 : 23 | 61300 | B1 | 1963 | Stationary boiler for carriage warming | 1965 | Scrapped (1966)
row 26 : 24 (1st) | 61323 | B1 | 1963 | Stationary boiler for carriage warming | 1963 | Scrapped (1964)
row 27 : 24 (2nd) | 61375 | B1 | 1963 | Stationary boiler for carriage warming | 1966 | Scrapped (1966)
row 28 : 25 | 61272 | B1 | 1965 | Stationary boiler for carriage warming | 1966 | Scrapped (1966)
row 29 : 26 | 61138 | B1 | 1965 | Stationary boiler for carriage warming | 1967 | Scrapped (1968)
row 30 : 27 | 61105 | B1 | 1965 | Stationary boiler for carriage warming | 1966 | Scrapped (1966)
row 31 : 28 | 61194 | B1 | 1965 | Stationary boiler for carriage warming | 1966 | Scrapped (1966)
row 32 : 29 | 61264 | B1 | 1965 | Stationary boiler for carriage warming | 1967 | Preserved
row 33 : 30 | 61050 | B1 | 1966 | Stationary boiler for carriage warming | 1968 | Scrapped (1968)
row 34 : 31 (2nd) | 61051 | B1 | 1966 | Stationary boiler for carriage warming | 1966 | Scrapped (1966) [/Table] Answer this question based on the above table: What is the smallest converted value at number 19?

Answer: 1963.0
[Table] header: Number | Previous Number(s) | Previous Class | Converted | Use | Withdrawn | Disposal row 1 : 1 | 68845 | J52 | 1952 | Steam shunter | 1958 | Scrapped (1958)
row 2 : 2 (1st) | 68816 | J52 | 1952 | Steam shunter | 1956 | Scrapped (1956)
row 3 : 2 (2nd) | 68858 | J52 | 1956 | Steam shunter | 1961 | Scrapped (1961)
row 4 : 3 | 68181 | Y3 | 1952 | Steam shunter | 1959 | Scrapped (1959)
row 5 : 4 | 68132 | Y1 | 1952 | Steam shunter | 1959 | Scrapped (1959)
row 6 : 5 | 68165 | Y3 | 1953 | Steam shunter | 1958 | Scrapped (1958)
row 7 : 6 | 68133 | Y1 | 1953 | Steam shunter | 1955 | Scrapped (1955)
row 8 : 7 | 68166 | Y3 | 1953 | Steam shunter | 1964 | Scrapped (1964)
row 9 : 8 | 68183 | Y3 | 1955 | Steam shunter | 1959 | Scrapped (1959)
row 10 : 9 | 68840 | J52 | 1958 | Steam shunter | 1961 | Scrapped (1961)
row 11 : 10 | 68911 | J50 | 1961 | Steam shunter | 1965 | Scrapped (1965)
row 12 : 11 | 68914 | J50 | 1961 | Steam shunter | 1965 | Scrapped (1965)
row 13 : 12 | 68917 | J50 | 1962 | Steam shunter | 1965 | Scrapped (1965)
row 14 : 13 | 68928 | J50 | 1962 | Steam shunter | 1965 | Scrapped (1965)
row 15 : 14 | 68961 | J50 | 1962 | Steam shunter | 1965 | Scrapped (1965)
row 16 : 15 | 68971 | J50 | 1962 | Steam shunter | 1965 | Scrapped (1965)
row 17 : 16 | 68976 | J50 | 1962 | Steam shunter | 1965 | Scrapped (1965)
row 18 : 17 | 61059 | B1 | 1963 | Stationary boiler for carriage warming | 1966 | Scrapped (1966)
row 19 : 18 | 61181 | B1 | 1963 | Stationary boiler for carriage warming | 1965 | Scrapped (1966)
row 20 : 19 | 61204 | B1 | 1963 | Stationary boiler for carriage warming | 1966 | Scrapped (1966)
row 21 : 20 | 61205 | B1 | 1963 | Stationary boiler for carriage warming | 1965 | Scrapped (1966)
row 22 : 21 (1st) | 68162 | Y3 | 1956 | Steam shunter | 1960 | Scrapped (1960)
row 23 : 21 (2nd) | 61233 | B1 | 1963 | Stationary boiler for carriage warming | 1966 | Scrapped (1966)
row 24 : 22 | 61252 | B1 | 1963 | Stationary boiler for carriage warming | 1964 | Scrapped (1966)
row 25 : 23 | 61300 | B1 | 1963 | Stationary boiler for carriage warming | 1965 | Scrapped (1966)
row 26 : 24 (1st) | 61323 | B1 | 1963 | Stationary boiler for carriage warming | 1963 | Scrapped (1964)
row 27 : 24 (2nd) | 61375 | B1 | 1963 | Stationary boiler for carriage warming | 1966 | Scrapped (1966)
row 28 : 25 | 61272 | B1 | 1965 | Stationary boiler for carriage warming | 1966 | Scrapped (1966)
row 29 : 26 | 61138 | B1 | 1965 | Stationary boiler for carriage warming | 1967 | Scrapped (1968)
row 30 : 27 | 61105 | B1 | 1965 | Stationary boiler for carriage warming | 1966 | Scrapped (1966)
row 31 : 28 | 61194 | B1 | 1965 | Stationary boiler for carriage warming | 1966 | Scrapped (1966)
row 32 : 29 | 61264 | B1 | 1965 | Stationary boiler for carriage warming | 1967 | Preserved
row 33 : 30 | 61050 | B1 | 1966 | Stationary boiler for carriage warming | 1968 | Scrapped (1968)
row 34 : 31 (2nd) | 61051 | B1 | 1966 | Stationary boiler for carriage warming | 1966 | Scrapped (1966) [/Table] Answer this question based on the above table: What is every previous class when the previous number is 61323?

Answer: B1
[Table] header: Number | Previous Number(s) | Previous Class | Converted | Use | Withdrawn | Disposal row 1 : 1 | 68845 | J52 | 1952 | Steam shunter | 1958 | Scrapped (1958)
row 2 : 2 (1st) | 68816 | J52 | 1952 | Steam shunter | 1956 | Scrapped (1956)
row 3 : 2 (2nd) | 68858 | J52 | 1956 | Steam shunter | 1961 | Scrapped (1961)
row 4 : 3 | 68181 | Y3 | 1952 | Steam shunter | 1959 | Scrapped (1959)
row 5 : 4 | 68132 | Y1 | 1952 | Steam shunter | 1959 | Scrapped (1959)
row 6 : 5 | 68165 | Y3 | 1953 | Steam shunter | 1958 | Scrapped (1958)
row 7 : 6 | 68133 | Y1 | 1953 | Steam shunter | 1955 | Scrapped (1955)
row 8 : 7 | 68166 | Y3 | 1953 | Steam shunter | 1964 | Scrapped (1964)
row 9 : 8 | 68183 | Y3 | 1955 | Steam shunter | 1959 | Scrapped (1959)
row 10 : 9 | 68840 | J52 | 1958 | Steam shunter | 1961 | Scrapped (1961)
row 11 : 10 | 68911 | J50 | 1961 | Steam shunter | 1965 | Scrapped (1965)
row 12 : 11 | 68914 | J50 | 1961 | Steam shunter | 1965 | Scrapped (1965)
row 13 : 12 | 68917 | J50 | 1962 | Steam shunter | 1965 | Scrapped (1965)
row 14 : 13 | 68928 | J50 | 1962 | Steam shunter | 1965 | Scrapped (1965)
row 15 : 14 | 68961 | J50 | 1962 | Steam shunter | 1965 | Scrapped (1965)
row 16 : 15 | 68971 | J50 | 1962 | Steam shunter | 1965 | Scrapped (1965)
row 17 : 16 | 68976 | J50 | 1962 | Steam shunter | 1965 | Scrapped (1965)
row 18 : 17 | 61059 | B1 | 1963 | Stationary boiler for carriage warming | 1966 | Scrapped (1966)
row 19 : 18 | 61181 | B1 | 1963 | Stationary boiler for carriage warming | 1965 | Scrapped (1966)
row 20 : 19 | 61204 | B1 | 1963 | Stationary boiler for carriage warming | 1966 | Scrapped (1966)
row 21 : 20 | 61205 | B1 | 1963 | Stationary boiler for carriage warming | 1965 | Scrapped (1966)
row 22 : 21 (1st) | 68162 | Y3 | 1956 | Steam shunter | 1960 | Scrapped (1960)
row 23 : 21 (2nd) | 61233 | B1 | 1963 | Stationary boiler for carriage warming | 1966 | Scrapped (1966)
row 24 : 22 | 61252 | B1 | 1963 | Stationary boiler for carriage warming | 1964 | Scrapped (1966)
row 25 : 23 | 61300 | B1 | 1963 | Stationary boiler for carriage warming | 1965 | Scrapped (1966)
row 26 : 24 (1st) | 61323 | B1 | 1963 | Stationary boiler for carriage warming | 1963 | Scrapped (1964)
row 27 : 24 (2nd) | 61375 | B1 | 1963 | Stationary boiler for carriage warming | 1966 | Scrapped (1966)
row 28 : 25 | 61272 | B1 | 1965 | Stationary boiler for carriage warming | 1966 | Scrapped (1966)
row 29 : 26 | 61138 | B1 | 1965 | Stationary boiler for carriage warming | 1967 | Scrapped (1968)
row 30 : 27 | 61105 | B1 | 1965 | Stationary boiler for carriage warming | 1966 | Scrapped (1966)
row 31 : 28 | 61194 | B1 | 1965 | Stationary boiler for carriage warming | 1966 | Scrapped (1966)
row 32 : 29 | 61264 | B1 | 1965 | Stationary boiler for carriage warming | 1967 | Preserved
row 33 : 30 | 61050 | B1 | 1966 | Stationary boiler for carriage warming | 1968 | Scrapped (1968)
row 34 : 31 (2nd) | 61051 | B1 | 1966 | Stationary boiler for carriage warming | 1966 | Scrapped (1966) [/Table] Answer this question based on the above table: What is every use for number 1?

Answer: Steam shunter
[Table] header: Match no. | Match Type | Team Europe | Score | Team USA | Progressive Total row 1 : 7 | Doubles | Paul Moor / Tore Torgers | 236 - 215 | Bill Hoffman / Doug Kent | 4 - 3
row 2 : 8 | Singles | Osku Palermaa | 227 - 239 | Chris Barnes | 4 - 4
row 3 : 9 | Doubles | Tomas Leandersson / Mik | 207 - 226 | Tim Mack / Tommy Jones | 4 - 5
row 4 : 10 | Singles | Mika Koivuniemi | 208 - 212 | Doug Kent | 4 - 6
row 5 : 11 | Doubles | Paul Moor / Osku Paler | 231 - 279 | Tommy Jones / Chris Barnes | 4 - 7 [/Table] Answer this question based on the above table: How many match numbers have team europe listed as osku palermaa?

Answer: 1.0
[Table] header: Match no. | Match Type | Team Europe | Score | Team USA | Progressive Total row 1 : 25 | Singles | Mika Koivuniemi | 217 - 279 | Chris Barnes | 14 - 11
row 2 : 26 | Singles | Osku Palermaa | 217 - 244 | Tommy Jones | 14 - 12
row 3 : 27 | Singles | Paul Moor | 210 - 199 | Tim Mack | 15 - 12
row 4 : 28 | Singles | Tore Torgersen | 206 - 275 | Doug Kent | 15 - 13
row 5 : 29 | Singles | Tomas Leandersson | 176 - 258 | Bill Hoffman | 15 - 14
row 6 : 30 | Baker | Team Europe | 202 - 203 | Team USA | 15 - 15
row 7 : 31 | Singles | Tore Torgersen | 202 - 264 | Chris Barnes | 15 - 16 [/Table] Answer this question based on the above table: When osku palermaa is on the europe team how many match numbers are there?

Answer: 1.0
[Table] header: Match no. | Match Type | Team Europe | Score | Team USA | Progressive Total row 1 : 25 | Singles | Mika Koivuniemi | 217 - 279 | Chris Barnes | 14 - 11
row 2 : 26 | Singles | Osku Palermaa | 217 - 244 | Tommy Jones | 14 - 12
row 3 : 27 | Singles | Paul Moor | 210 - 199 | Tim Mack | 15 - 12
row 4 : 28 | Singles | Tore Torgersen | 206 - 275 | Doug Kent | 15 - 13
row 5 : 29 | Singles | Tomas Leandersson | 176 - 258 | Bill Hoffman | 15 - 14
row 6 : 30 | Baker | Team Europe | 202 - 203 | Team USA | 15 - 15
row 7 : 31 | Singles | Tore Torgersen | 202 - 264 | Chris Barnes | 15 - 16 [/Table] Answer this question based on the above table: When paul moor is on the europe team who is on the usa team?

Answer: Tim Mack
[Table] header: Stage (Winner) | General Classification | Points Classification | Mountains Classification | Young Rider Classification | Team Classification row 1 : Stage 1 ( Mark Cavendish ) | Mark Cavendish | Alexander Kristoff | Matt Wilson | Mark Cavendish | Topsport Vlaanderen
row 2 : Stage 2 ( Mark Cavendish ) | Mark Cavendish | Mark Cavendish | Matt Wilson | Mark Cavendish | Topsport Vlaanderen
row 3 : Stage 3 ( Mark Cavendish ) | Mark Cavendish | Mark Cavendish | Matt Wilson | Mark Cavendish | Topsport Vlaanderen
row 4 : Stage 4 ( Russell Downing ) | Russell Downing | Mark Cavendish | Matt Wilson | Gonzalo Rabuñal | Topsport Vlaanderen
row 5 : Stage 5 ( František Rab | Marco Pinotti | Russell Downing | Matt Wilson | Simon Clarke | Team Columbia [/Table] Answer this question based on the above table: Name the mountains classification for team columbia

Answer: Matt Wilson
[Table] header: Stage (Winner) | General Classification | Points Classification | Mountains Classification | Young Rider Classification | Team Classification row 1 : Stage 1 ( Mark Cavendish ) | Mark Cavendish | Alexander Kristoff | Matt Wilson | Mark Cavendish | Topsport Vlaanderen
row 2 : Stage 2 ( Mark Cavendish ) | Mark Cavendish | Mark Cavendish | Matt Wilson | Mark Cavendish | Topsport Vlaanderen
row 3 : Stage 3 ( Mark Cavendish ) | Mark Cavendish | Mark Cavendish | Matt Wilson | Mark Cavendish | Topsport Vlaanderen
row 4 : Stage 4 ( Russell Downing ) | Russell Downing | Mark Cavendish | Matt Wilson | Gonzalo Rabuñal | Topsport Vlaanderen
row 5 : Stage 5 ( František Rab | Marco Pinotti | Russell Downing | Matt Wilson | Simon Clarke | Team Columbia [/Table] Answer this question based on the above table: Name the number of stage winners for team columbia

Answer: 1.0
[Table] header: Stage (Winner) | General Classification | Points Classification | Mountains Classification | Young Rider Classification | Team Classification row 1 : Stage 1 ( Mark Cavendish ) | Mark Cavendish | Alexander Kristoff | Matt Wilson | Mark Cavendish | Topsport Vlaanderen
row 2 : Stage 2 ( Mark Cavendish ) | Mark Cavendish | Mark Cavendish | Matt Wilson | Mark Cavendish | Topsport Vlaanderen
row 3 : Stage 3 ( Mark Cavendish ) | Mark Cavendish | Mark Cavendish | Matt Wilson | Mark Cavendish | Topsport Vlaanderen
row 4 : Stage 4 ( Russell Downing ) | Russell Downing | Mark Cavendish | Matt Wilson | Gonzalo Rabuñal | Topsport Vlaanderen
row 5 : Stage 5 ( František Rab | Marco Pinotti | Russell Downing | Matt Wilson | Simon Clarke | Team Columbia [/Table] Answer this question based on the above table: Name the mountains classification for alexander kristoff

Answer: Matt Wilson
[Table] header: Rank | London Borough | Black African Population | Black Caribbean Population | Other Black Population | Total Black Population row 1 : 1 | Lambeth | 35187 | 28886 | 14469 | 78542
row 2 : 2 | Southwark | 47413 | 17974 | 12124 | 77511
row 3 : 3 | Lewisham | 32025 | 30854 | 12063 | 74942
row 4 : 4 | Croydon | 28981 | 31320 | 12955 | 73256
row 5 : 5 | Newham | 37811 | 15050 | 7395 | 60256
row 6 : 6 | Hackney | 27976 | 19168 | 9714 | 56858
row 7 : 7 | Brent | 24391 | 23723 | 10518 | 58632
row 8 : 8 | Enfield | 28222 | 17334 | 8131 | 53687
row 9 : 9 | Greenwich | 35164 | 8051 | 5440 | 48655
row 10 : 10 | Haringey | 23037 | 18087 | 6706 | 47830
row 11 : 11 | Waltham Forest | 18815 | 18841 | 7135 | 44791
row 12 : 12 | Barking and Dagenham | 28685 | 5227 | 3228 | 37140
row 13 : 13 | Ealing | 17299 | 13192 | 6369 | 36860
row 14 : 14 | Barnet | 19392 | 4468 | 3571 | 27431
row 15 : 15 | Islington | 12622 | 7943 | 5729 | 26294
row 16 : 16 | Redbridge | 12357 | 9064 | 3424 | 24845
row 17 : 17 | Hammersmith and Fulham | 10552 | 7111 | 3842 | 21505
row 18 : 18 | Merton | 10442 | 8126 | 2243 | 20811
row 19 : 19 | Hillingdon | 11275 | 4615 | 4192 | 20082 [/Table] Answer this question based on the above table: How much is the other black population when the black African population is 37811?

Answer: 7395.0
[Table] header: Rank | London Borough | Black African Population | Black Caribbean Population | Other Black Population | Total Black Population row 1 : 1 | Lambeth | 35187 | 28886 | 14469 | 78542
row 2 : 2 | Southwark | 47413 | 17974 | 12124 | 77511
row 3 : 3 | Lewisham | 32025 | 30854 | 12063 | 74942
row 4 : 4 | Croydon | 28981 | 31320 | 12955 | 73256
row 5 : 5 | Newham | 37811 | 15050 | 7395 | 60256
row 6 : 6 | Hackney | 27976 | 19168 | 9714 | 56858
row 7 : 7 | Brent | 24391 | 23723 | 10518 | 58632
row 8 : 8 | Enfield | 28222 | 17334 | 8131 | 53687
row 9 : 9 | Greenwich | 35164 | 8051 | 5440 | 48655
row 10 : 10 | Haringey | 23037 | 18087 | 6706 | 47830
row 11 : 11 | Waltham Forest | 18815 | 18841 | 7135 | 44791
row 12 : 12 | Barking and Dagenham | 28685 | 5227 | 3228 | 37140
row 13 : 13 | Ealing | 17299 | 13192 | 6369 | 36860
row 14 : 14 | Barnet | 19392 | 4468 | 3571 | 27431
row 15 : 15 | Islington | 12622 | 7943 | 5729 | 26294
row 16 : 16 | Redbridge | 12357 | 9064 | 3424 | 24845
row 17 : 17 | Hammersmith and Fulham | 10552 | 7111 | 3842 | 21505
row 18 : 18 | Merton | 10442 | 8126 | 2243 | 20811
row 19 : 19 | Hillingdon | 11275 | 4615 | 4192 | 20082 [/Table] Answer this question based on the above table: Where are the london borough with the black caribbean population of 17974?

Answer: Southwark
[Table] header: Rank | London Borough | Black African Population | Black Caribbean Population | Other Black Population | Total Black Population row 1 : 1 | Lambeth | 35187 | 28886 | 14469 | 78542
row 2 : 2 | Southwark | 47413 | 17974 | 12124 | 77511
row 3 : 3 | Lewisham | 32025 | 30854 | 12063 | 74942
row 4 : 4 | Croydon | 28981 | 31320 | 12955 | 73256
row 5 : 5 | Newham | 37811 | 15050 | 7395 | 60256
row 6 : 6 | Hackney | 27976 | 19168 | 9714 | 56858
row 7 : 7 | Brent | 24391 | 23723 | 10518 | 58632
row 8 : 8 | Enfield | 28222 | 17334 | 8131 | 53687
row 9 : 9 | Greenwich | 35164 | 8051 | 5440 | 48655
row 10 : 10 | Haringey | 23037 | 18087 | 6706 | 47830
row 11 : 11 | Waltham Forest | 18815 | 18841 | 7135 | 44791
row 12 : 12 | Barking and Dagenham | 28685 | 5227 | 3228 | 37140
row 13 : 13 | Ealing | 17299 | 13192 | 6369 | 36860
row 14 : 14 | Barnet | 19392 | 4468 | 3571 | 27431
row 15 : 15 | Islington | 12622 | 7943 | 5729 | 26294
row 16 : 16 | Redbridge | 12357 | 9064 | 3424 | 24845
row 17 : 17 | Hammersmith and Fulham | 10552 | 7111 | 3842 | 21505
row 18 : 18 | Merton | 10442 | 8126 | 2243 | 20811
row 19 : 19 | Hillingdon | 11275 | 4615 | 4192 | 20082 [/Table] Answer this question based on the above table: What is the rank of london borough in southwark?

Answer: 2.0
[Table] header: Rank | London Borough | Black African Population | Black Caribbean Population | Other Black Population | Total Black Population row 1 : 1 | Lambeth | 35187 | 28886 | 14469 | 78542
row 2 : 2 | Southwark | 47413 | 17974 | 12124 | 77511
row 3 : 3 | Lewisham | 32025 | 30854 | 12063 | 74942
row 4 : 4 | Croydon | 28981 | 31320 | 12955 | 73256
row 5 : 5 | Newham | 37811 | 15050 | 7395 | 60256
row 6 : 6 | Hackney | 27976 | 19168 | 9714 | 56858
row 7 : 7 | Brent | 24391 | 23723 | 10518 | 58632
row 8 : 8 | Enfield | 28222 | 17334 | 8131 | 53687
row 9 : 9 | Greenwich | 35164 | 8051 | 5440 | 48655
row 10 : 10 | Haringey | 23037 | 18087 | 6706 | 47830
row 11 : 11 | Waltham Forest | 18815 | 18841 | 7135 | 44791
row 12 : 12 | Barking and Dagenham | 28685 | 5227 | 3228 | 37140
row 13 : 13 | Ealing | 17299 | 13192 | 6369 | 36860
row 14 : 14 | Barnet | 19392 | 4468 | 3571 | 27431
row 15 : 15 | Islington | 12622 | 7943 | 5729 | 26294
row 16 : 16 | Redbridge | 12357 | 9064 | 3424 | 24845
row 17 : 17 | Hammersmith and Fulham | 10552 | 7111 | 3842 | 21505
row 18 : 18 | Merton | 10442 | 8126 | 2243 | 20811
row 19 : 19 | Hillingdon | 11275 | 4615 | 4192 | 20082 [/Table] Answer this question based on the above table: What is the black caribbean population when the other black population is 2243?

Answer: 8126.0
[Table] header: Rank | London Borough | Black African Population | Black Caribbean Population | Other Black Population | Total Black Population row 1 : 1 | Lambeth | 35187 | 28886 | 14469 | 78542
row 2 : 2 | Southwark | 47413 | 17974 | 12124 | 77511
row 3 : 3 | Lewisham | 32025 | 30854 | 12063 | 74942
row 4 : 4 | Croydon | 28981 | 31320 | 12955 | 73256
row 5 : 5 | Newham | 37811 | 15050 | 7395 | 60256
row 6 : 6 | Hackney | 27976 | 19168 | 9714 | 56858
row 7 : 7 | Brent | 24391 | 23723 | 10518 | 58632
row 8 : 8 | Enfield | 28222 | 17334 | 8131 | 53687
row 9 : 9 | Greenwich | 35164 | 8051 | 5440 | 48655
row 10 : 10 | Haringey | 23037 | 18087 | 6706 | 47830
row 11 : 11 | Waltham Forest | 18815 | 18841 | 7135 | 44791
row 12 : 12 | Barking and Dagenham | 28685 | 5227 | 3228 | 37140
row 13 : 13 | Ealing | 17299 | 13192 | 6369 | 36860
row 14 : 14 | Barnet | 19392 | 4468 | 3571 | 27431
row 15 : 15 | Islington | 12622 | 7943 | 5729 | 26294
row 16 : 16 | Redbridge | 12357 | 9064 | 3424 | 24845
row 17 : 17 | Hammersmith and Fulham | 10552 | 7111 | 3842 | 21505
row 18 : 18 | Merton | 10442 | 8126 | 2243 | 20811
row 19 : 19 | Hillingdon | 11275 | 4615 | 4192 | 20082 [/Table] Answer this question based on the above table: What is the black caribbean population when the black African population is less than 10552.0?

Answer: 8126.0
[Table] header: Season | Timeslot | Season premiere | Season finale | TV season | Rank | U.S. viewers (in millions) | Rating (adults 18–49) row 1 : 1 | Wednesday 9/8c Monday 8/7c | September 19, 2007 | May 19, 2008 | 2007–08 | #196 | 2.35 | 1.2
row 2 : 2 | Monday 8/7c | September 1, 2008 | May 18, 2009 | 2008–09 | #168 | 2.48 | 1.4
row 3 : 3 | Monday 9/8c | September 14, 2009 | May 17, 2010 | 2009–10 | #135 | 2.02 | 1.1
row 4 : 4 | Monday 9/8c | September 13, 2010 | May 16, 2011 | 2010–11 | #139 | 1.64 | 0.8
row 5 : 5 | Monday 8/7c | September 26, 2011 | May 14, 2012 | 2011–12 | #188 | 1.18 | 0.6 [/Table] Answer this question based on the above table: What time slot had an adult rating of 0.6?

Answer: Monday 8/7c
[Table] header: Season | Timeslot | Season premiere | Season finale | TV season | Rank | U.S. viewers (in millions) | Rating (adults 18–49) row 1 : 1 | Wednesday 9/8c Monday 8/7c | September 19, 2007 | May 19, 2008 | 2007–08 | #196 | 2.35 | 1.2
row 2 : 2 | Monday 8/7c | September 1, 2008 | May 18, 2009 | 2008–09 | #168 | 2.48 | 1.4
row 3 : 3 | Monday 9/8c | September 14, 2009 | May 17, 2010 | 2009–10 | #135 | 2.02 | 1.1
row 4 : 4 | Monday 9/8c | September 13, 2010 | May 16, 2011 | 2010–11 | #139 | 1.64 | 0.8
row 5 : 5 | Monday 8/7c | September 26, 2011 | May 14, 2012 | 2011–12 | #188 | 1.18 | 0.6 [/Table] Answer this question based on the above table: What season finale date has 2.02 million u.s. Viewers?

Answer: May 17, 2010
[Table] header: Season | Timeslot | Season premiere | Season finale | TV season | Rank | U.S. viewers (in millions) | Rating (adults 18–49) row 1 : 1 | Wednesday 9/8c Monday 8/7c | September 19, 2007 | May 19, 2008 | 2007–08 | #196 | 2.35 | 1.2
row 2 : 2 | Monday 8/7c | September 1, 2008 | May 18, 2009 | 2008–09 | #168 | 2.48 | 1.4
row 3 : 3 | Monday 9/8c | September 14, 2009 | May 17, 2010 | 2009–10 | #135 | 2.02 | 1.1
row 4 : 4 | Monday 9/8c | September 13, 2010 | May 16, 2011 | 2010–11 | #139 | 1.64 | 0.8
row 5 : 5 | Monday 8/7c | September 26, 2011 | May 14, 2012 | 2011–12 | #188 | 1.18 | 0.6 [/Table] Answer this question based on the above table: How many million u.s. Viewers watched season 1?

Answer: 2.35
[Table] header: Season | Timeslot | Season premiere | Season finale | TV season | Rank | U.S. viewers (in millions) | Rating (adults 18–49) row 1 : 1 | Wednesday 9/8c Monday 8/7c | September 19, 2007 | May 19, 2008 | 2007–08 | #196 | 2.35 | 1.2
row 2 : 2 | Monday 8/7c | September 1, 2008 | May 18, 2009 | 2008–09 | #168 | 2.48 | 1.4
row 3 : 3 | Monday 9/8c | September 14, 2009 | May 17, 2010 | 2009–10 | #135 | 2.02 | 1.1
row 4 : 4 | Monday 9/8c | September 13, 2010 | May 16, 2011 | 2010–11 | #139 | 1.64 | 0.8
row 5 : 5 | Monday 8/7c | September 26, 2011 | May 14, 2012 | 2011–12 | #188 | 1.18 | 0.6 [/Table] Answer this question based on the above table: How many tv series had an adult rating of 1.2?

Answer: 1.0
[Table] header: Institution | Location | Founded | Affiliation | Enrollment | Year Joined | Nickname | Conference row 1 : Drexel University | University City | 1891 | Private | 25500 | 1986 | Dragons | Colonial Athletic Association
row 2 : La Salle University | Germantown | 1863 | Private/Catholic | 7554 | 1995 | Explorers | Atlantic 10
row 3 : Saint Joseph's University | West Philadelphia / Lower Merion Township | 1851 | Private/Catholic | 8800 | 1986 | Hawks | Atlantic 10
row 4 : Temple University | North Philadelphia | 1884 | Public | 38648 | 1986 | Owls | American Athletic Conference
row 5 : University of Pennsylvania | University City | 1740 | Private | 21329 | 1986 | Quakers | Ivy League [/Table] Answer this question based on the above table: Where is the University that is also called Hawks?

Answer: West Philadelphia / Lower Merion Township
[Table] header: Institution | Location | Founded | Affiliation | Enrollment | Year Joined | Nickname | Conference row 1 : Drexel University | University City | 1891 | Private | 25500 | 1986 | Dragons | Colonial Athletic Association
row 2 : La Salle University | Germantown | 1863 | Private/Catholic | 7554 | 1995 | Explorers | Atlantic 10
row 3 : Saint Joseph's University | West Philadelphia / Lower Merion Township | 1851 | Private/Catholic | 8800 | 1986 | Hawks | Atlantic 10
row 4 : Temple University | North Philadelphia | 1884 | Public | 38648 | 1986 | Owls | American Athletic Conference
row 5 : University of Pennsylvania | University City | 1740 | Private | 21329 | 1986 | Quakers | Ivy League [/Table] Answer this question based on the above table: Where is the University that is also called Owls?

Answer: North Philadelphia
[Table] header: Institution | Location | Founded | Affiliation | Enrollment | Year Joined | Nickname | Conference row 1 : Drexel University | University City | 1891 | Private | 25500 | 1986 | Dragons | Colonial Athletic Association
row 2 : La Salle University | Germantown | 1863 | Private/Catholic | 7554 | 1995 | Explorers | Atlantic 10
row 3 : Saint Joseph's University | West Philadelphia / Lower Merion Township | 1851 | Private/Catholic | 8800 | 1986 | Hawks | Atlantic 10
row 4 : Temple University | North Philadelphia | 1884 | Public | 38648 | 1986 | Owls | American Athletic Conference
row 5 : University of Pennsylvania | University City | 1740 | Private | 21329 | 1986 | Quakers | Ivy League [/Table] Answer this question based on the above table: How many University founded in 1863?

Answer: 1.0
[Table] header: Institution | Location | Founded | Affiliation | Enrollment | Year Joined | Nickname | Conference row 1 : Drexel University | University City | 1891 | Private | 25500 | 1986 | Dragons | Colonial Athletic Association
row 2 : La Salle University | Germantown | 1863 | Private/Catholic | 7554 | 1995 | Explorers | Atlantic 10
row 3 : Saint Joseph's University | West Philadelphia / Lower Merion Township | 1851 | Private/Catholic | 8800 | 1986 | Hawks | Atlantic 10
row 4 : Temple University | North Philadelphia | 1884 | Public | 38648 | 1986 | Owls | American Athletic Conference
row 5 : University of Pennsylvania | University City | 1740 | Private | 21329 | 1986 | Quakers | Ivy League [/Table] Answer this question based on the above table: Where is the University that plays in the American Athletic Conference?

Answer: North Philadelphia
[Table] header: Institution | Location | Founded | Affiliation | Enrollment | Year Joined | Nickname | Conference row 1 : Drexel University | University City | 1891 | Private | 25500 | 1986 | Dragons | Colonial Athletic Association
row 2 : La Salle University | Germantown | 1863 | Private/Catholic | 7554 | 1995 | Explorers | Atlantic 10
row 3 : Saint Joseph's University | West Philadelphia / Lower Merion Township | 1851 | Private/Catholic | 8800 | 1986 | Hawks | Atlantic 10
row 4 : Temple University | North Philadelphia | 1884 | Public | 38648 | 1986 | Owls | American Athletic Conference
row 5 : University of Pennsylvania | University City | 1740 | Private | 21329 | 1986 | Quakers | Ivy League [/Table] Answer this question based on the above table: What is the affiliation of the University called Explorers?

Answer: Private/Catholic
[Table] header: Institution | Location | Founded | Affiliation | Enrollment | Year Joined | Nickname | Conference row 1 : Drexel University | University City | 1891 | Private | 25500 | 1986 | Dragons | Colonial Athletic Association
row 2 : La Salle University | Germantown | 1863 | Private/Catholic | 7554 | 1995 | Explorers | Atlantic 10
row 3 : Saint Joseph's University | West Philadelphia / Lower Merion Township | 1851 | Private/Catholic | 8800 | 1986 | Hawks | Atlantic 10
row 4 : Temple University | North Philadelphia | 1884 | Public | 38648 | 1986 | Owls | American Athletic Conference
row 5 : University of Pennsylvania | University City | 1740 | Private | 21329 | 1986 | Quakers | Ivy League [/Table] Answer this question based on the above table: What is the nickname of Drexel University?

Answer: Dragons
[Table] header: Branding | Callsign | Frequency | Power (kW) | Location row 1 : 92.3 News FM | DWFM | 92.3MHz | 25kW | Metro Manila
row 2 : 102.3 News FM | DZYB-FM | 102.3MHz | 10kW | Baguio
row 3 : 88.7 News FM | DWYC-FM | 88.7MHz | 5kW | Cabanatuan
row 4 : 94.3 News FM | DWJY-FM | 94.3MHz | 5kW | San Pablo
row 5 : 102.3 News FM | DYBC-FM | 102.3MHz | 5kW | Bacolod
row 6 : 101.9 News FM | DYNC-FM | 101.9MHz | 10kW | Cebu
row 7 : 101.5 News FM | DXRL-FM | 101.5MHz | 10kW | Cagayan De Oro [/Table] Answer this question based on the above table: What is the brand in Metro Manila?

Answer: 92.3 News FM
[Table] header: Branding | Callsign | Frequency | Power (kW) | Location row 1 : 92.3 News FM | DWFM | 92.3MHz | 25kW | Metro Manila
row 2 : 102.3 News FM | DZYB-FM | 102.3MHz | 10kW | Baguio
row 3 : 88.7 News FM | DWYC-FM | 88.7MHz | 5kW | Cabanatuan
row 4 : 94.3 News FM | DWJY-FM | 94.3MHz | 5kW | San Pablo
row 5 : 102.3 News FM | DYBC-FM | 102.3MHz | 5kW | Bacolod
row 6 : 101.9 News FM | DYNC-FM | 101.9MHz | 10kW | Cebu
row 7 : 101.5 News FM | DXRL-FM | 101.5MHz | 10kW | Cagayan De Oro [/Table] Answer this question based on the above table: What is the brand in Cabanatuan?

Answer: 88.7 News FM
[Table] header: Branding | Callsign | Frequency | Power (kW) | Location row 1 : 92.3 News FM | DWFM | 92.3MHz | 25kW | Metro Manila
row 2 : 102.3 News FM | DZYB-FM | 102.3MHz | 10kW | Baguio
row 3 : 88.7 News FM | DWYC-FM | 88.7MHz | 5kW | Cabanatuan
row 4 : 94.3 News FM | DWJY-FM | 94.3MHz | 5kW | San Pablo
row 5 : 102.3 News FM | DYBC-FM | 102.3MHz | 5kW | Bacolod
row 6 : 101.9 News FM | DYNC-FM | 101.9MHz | 10kW | Cebu
row 7 : 101.5 News FM | DXRL-FM | 101.5MHz | 10kW | Cagayan De Oro [/Table] Answer this question based on the above table: What is the power at the cebu station?

Answer: 10kW
[Table] header: Branding | Callsign | Frequency | Power (kW) | Location row 1 : 92.3 News FM | DWFM | 92.3MHz | 25kW | Metro Manila
row 2 : 102.3 News FM | DZYB-FM | 102.3MHz | 10kW | Baguio
row 3 : 88.7 News FM | DWYC-FM | 88.7MHz | 5kW | Cabanatuan
row 4 : 94.3 News FM | DWJY-FM | 94.3MHz | 5kW | San Pablo
row 5 : 102.3 News FM | DYBC-FM | 102.3MHz | 5kW | Bacolod
row 6 : 101.9 News FM | DYNC-FM | 101.9MHz | 10kW | Cebu
row 7 : 101.5 News FM | DXRL-FM | 101.5MHz | 10kW | Cagayan De Oro [/Table] Answer this question based on the above table: What is the frequency of 101.5 News FM?

Answer: 101.5MHz
[Table] header: Branding | Callsign | Frequency | Power (kW) | Location row 1 : 92.3 News FM | DWFM | 92.3MHz | 25kW | Metro Manila
row 2 : 102.3 News FM | DZYB-FM | 102.3MHz | 10kW | Baguio
row 3 : 88.7 News FM | DWYC-FM | 88.7MHz | 5kW | Cabanatuan
row 4 : 94.3 News FM | DWJY-FM | 94.3MHz | 5kW | San Pablo
row 5 : 102.3 News FM | DYBC-FM | 102.3MHz | 5kW | Bacolod
row 6 : 101.9 News FM | DYNC-FM | 101.9MHz | 10kW | Cebu
row 7 : 101.5 News FM | DXRL-FM | 101.5MHz | 10kW | Cagayan De Oro [/Table] Answer this question based on the above table: Where is the frequency 102.3mhz and 5kw power?

Answer: Bacolod
[Table] header: Branding | Callsign | Frequency | Power (kW) | Location row 1 : 92.3 News FM | DWFM | 92.3MHz | 25kW | Metro Manila
row 2 : 102.3 News FM | DZYB-FM | 102.3MHz | 10kW | Baguio
row 3 : 88.7 News FM | DWYC-FM | 88.7MHz | 5kW | Cabanatuan
row 4 : 94.3 News FM | DWJY-FM | 94.3MHz | 5kW | San Pablo
row 5 : 102.3 News FM | DYBC-FM | 102.3MHz | 5kW | Bacolod
row 6 : 101.9 News FM | DYNC-FM | 101.9MHz | 10kW | Cebu
row 7 : 101.5 News FM | DXRL-FM | 101.5MHz | 10kW | Cagayan De Oro [/Table] Answer this question based on the above table: Where is the frequency 92.3mhz?

Answer: Metro Manila
[Table] header: Pos | No | Driver | Constructor | Q1 order | Q1 time | Q1 pos | Q1+Q2 time row 1 : 1 | 9 | Kimi Räikkönen | McLaren - Mercedes | 18 | 1:13.644 | 1 | 2.30.325
row 2 : 2 | 5 | Fernando Alonso | Renault | 17 | 1:14.125 | 2 | 2.30.406
row 3 : 3 | 7 | Mark Webber | Williams - BMW | 13 | 1:14.584 | 3 | 2.31.656
row 4 : 4 | 6 | Giancarlo Fisichella | Renault | 14 | 1:14.783 | 4 | 2.32.100
row 5 : 5 | 16 | Jarno Trulli | Toyota | 16 | 1:15.189 | 7 | 2.32.590
row 6 : 6 | 8 | Nick Heidfeld | Williams - BMW | 9 | 1:15.128 | 6 | 2.32.883
row 7 : 7 | 14 | David Coulthard | Red Bull - Cosworth | 11 | 1:15.329 | 8 | 2.33.867
row 8 : 8 | 1 | Michael Schumacher | Ferrari | 4 | 1:16.186 | 11 | 2.34.736
row 9 : 9 | 11 | Jacques Villeneuve | Sauber - Petronas | 5 | 1:15.921 | 9 | 2.34.936
row 10 : 10 | 2 | Rubens Barrichello | Ferrari | 10 | 1:16.142 | 10 | 2.34.983
row 11 : 11 | 12 | Felipe Massa | Sauber - Petronas | 8 | 1:16.218 | 12 | 2.35.120
row 12 : 12 | 15 | Vitantonio Liuzzi | Red Bull - Cosworth | 1 | 1:16.817 | 13 | 2.37.152
row 13 : 13 | 20 | Patrick Friesacher | Minardi - Cosworth | 2 | 1:18.574 | 14 | 2.40.810
row 14 : 14 | 21 | Christijan Albers | Minardi - Cosworth | 3 | 1:19.229 | 15 | 2.42.206
row 15 : 15 | 18 | Tiago Monteiro | Jordan - Toyota | 7 | 1:19.408 | 16 | 2.43.078
row 16 : 16 | 10 | Juan Pablo Montoya # | McLaren - Mercedes | 12 | 1:14.858 | 5 | NO TIME
row 17 : 17 | 19 | Narain Karthikeyan * | Jordan - Toyota | 6 | 1:19.474 | 17 | 2.43.422 [/Table] Answer this question based on the above table: What is the highest no.?

Answer: 21.0
[Table] header: Pos | No | Driver | Constructor | Q1 order | Q1 time | Q1 pos | Q1+Q2 time row 1 : 1 | 9 | Kimi Räikkönen | McLaren - Mercedes | 18 | 1:13.644 | 1 | 2.30.325
row 2 : 2 | 5 | Fernando Alonso | Renault | 17 | 1:14.125 | 2 | 2.30.406
row 3 : 3 | 7 | Mark Webber | Williams - BMW | 13 | 1:14.584 | 3 | 2.31.656
row 4 : 4 | 6 | Giancarlo Fisichella | Renault | 14 | 1:14.783 | 4 | 2.32.100
row 5 : 5 | 16 | Jarno Trulli | Toyota | 16 | 1:15.189 | 7 | 2.32.590
row 6 : 6 | 8 | Nick Heidfeld | Williams - BMW | 9 | 1:15.128 | 6 | 2.32.883
row 7 : 7 | 14 | David Coulthard | Red Bull - Cosworth | 11 | 1:15.329 | 8 | 2.33.867
row 8 : 8 | 1 | Michael Schumacher | Ferrari | 4 | 1:16.186 | 11 | 2.34.736
row 9 : 9 | 11 | Jacques Villeneuve | Sauber - Petronas | 5 | 1:15.921 | 9 | 2.34.936
row 10 : 10 | 2 | Rubens Barrichello | Ferrari | 10 | 1:16.142 | 10 | 2.34.983
row 11 : 11 | 12 | Felipe Massa | Sauber - Petronas | 8 | 1:16.218 | 12 | 2.35.120
row 12 : 12 | 15 | Vitantonio Liuzzi | Red Bull - Cosworth | 1 | 1:16.817 | 13 | 2.37.152
row 13 : 13 | 20 | Patrick Friesacher | Minardi - Cosworth | 2 | 1:18.574 | 14 | 2.40.810
row 14 : 14 | 21 | Christijan Albers | Minardi - Cosworth | 3 | 1:19.229 | 15 | 2.42.206
row 15 : 15 | 18 | Tiago Monteiro | Jordan - Toyota | 7 | 1:19.408 | 16 | 2.43.078
row 16 : 16 | 10 | Juan Pablo Montoya # | McLaren - Mercedes | 12 | 1:14.858 | 5 | NO TIME
row 17 : 17 | 19 | Narain Karthikeyan * | Jordan - Toyota | 6 | 1:19.474 | 17 | 2.43.422 [/Table] Answer this question based on the above table: What is the q1+q2 time in which q1 is 1:18.574?

Answer: 240810.0
[Table] header: Pos | No | Driver | Constructor | Q1 order | Q1 time | Q1 pos | Q1+Q2 time row 1 : 1 | 9 | Kimi Räikkönen | McLaren - Mercedes | 18 | 1:13.644 | 1 | 2.30.325
row 2 : 2 | 5 | Fernando Alonso | Renault | 17 | 1:14.125 | 2 | 2.30.406
row 3 : 3 | 7 | Mark Webber | Williams - BMW | 13 | 1:14.584 | 3 | 2.31.656
row 4 : 4 | 6 | Giancarlo Fisichella | Renault | 14 | 1:14.783 | 4 | 2.32.100
row 5 : 5 | 16 | Jarno Trulli | Toyota | 16 | 1:15.189 | 7 | 2.32.590
row 6 : 6 | 8 | Nick Heidfeld | Williams - BMW | 9 | 1:15.128 | 6 | 2.32.883
row 7 : 7 | 14 | David Coulthard | Red Bull - Cosworth | 11 | 1:15.329 | 8 | 2.33.867
row 8 : 8 | 1 | Michael Schumacher | Ferrari | 4 | 1:16.186 | 11 | 2.34.736
row 9 : 9 | 11 | Jacques Villeneuve | Sauber - Petronas | 5 | 1:15.921 | 9 | 2.34.936
row 10 : 10 | 2 | Rubens Barrichello | Ferrari | 10 | 1:16.142 | 10 | 2.34.983
row 11 : 11 | 12 | Felipe Massa | Sauber - Petronas | 8 | 1:16.218 | 12 | 2.35.120
row 12 : 12 | 15 | Vitantonio Liuzzi | Red Bull - Cosworth | 1 | 1:16.817 | 13 | 2.37.152
row 13 : 13 | 20 | Patrick Friesacher | Minardi - Cosworth | 2 | 1:18.574 | 14 | 2.40.810
row 14 : 14 | 21 | Christijan Albers | Minardi - Cosworth | 3 | 1:19.229 | 15 | 2.42.206
row 15 : 15 | 18 | Tiago Monteiro | Jordan - Toyota | 7 | 1:19.408 | 16 | 2.43.078
row 16 : 16 | 10 | Juan Pablo Montoya # | McLaren - Mercedes | 12 | 1:14.858 | 5 | NO TIME
row 17 : 17 | 19 | Narain Karthikeyan * | Jordan - Toyota | 6 | 1:19.474 | 17 | 2.43.422 [/Table] Answer this question based on the above table: when q1 pos is 8 what is the q1+q2 time?

Answer: 233867.0
[Table] header: Pos | No | Driver | Constructor | Q1 order | Q1 time | Q1 pos | Q1+Q2 time row 1 : 1 | 9 | Kimi Räikkönen | McLaren - Mercedes | 18 | 1:13.644 | 1 | 2.30.325
row 2 : 2 | 5 | Fernando Alonso | Renault | 17 | 1:14.125 | 2 | 2.30.406
row 3 : 3 | 7 | Mark Webber | Williams - BMW | 13 | 1:14.584 | 3 | 2.31.656
row 4 : 4 | 6 | Giancarlo Fisichella | Renault | 14 | 1:14.783 | 4 | 2.32.100
row 5 : 5 | 16 | Jarno Trulli | Toyota | 16 | 1:15.189 | 7 | 2.32.590
row 6 : 6 | 8 | Nick Heidfeld | Williams - BMW | 9 | 1:15.128 | 6 | 2.32.883
row 7 : 7 | 14 | David Coulthard | Red Bull - Cosworth | 11 | 1:15.329 | 8 | 2.33.867
row 8 : 8 | 1 | Michael Schumacher | Ferrari | 4 | 1:16.186 | 11 | 2.34.736
row 9 : 9 | 11 | Jacques Villeneuve | Sauber - Petronas | 5 | 1:15.921 | 9 | 2.34.936
row 10 : 10 | 2 | Rubens Barrichello | Ferrari | 10 | 1:16.142 | 10 | 2.34.983
row 11 : 11 | 12 | Felipe Massa | Sauber - Petronas | 8 | 1:16.218 | 12 | 2.35.120
row 12 : 12 | 15 | Vitantonio Liuzzi | Red Bull - Cosworth | 1 | 1:16.817 | 13 | 2.37.152
row 13 : 13 | 20 | Patrick Friesacher | Minardi - Cosworth | 2 | 1:18.574 | 14 | 2.40.810
row 14 : 14 | 21 | Christijan Albers | Minardi - Cosworth | 3 | 1:19.229 | 15 | 2.42.206
row 15 : 15 | 18 | Tiago Monteiro | Jordan - Toyota | 7 | 1:19.408 | 16 | 2.43.078
row 16 : 16 | 10 | Juan Pablo Montoya # | McLaren - Mercedes | 12 | 1:14.858 | 5 | NO TIME
row 17 : 17 | 19 | Narain Karthikeyan * | Jordan - Toyota | 6 | 1:19.474 | 17 | 2.43.422 [/Table] Answer this question based on the above table: when the q1+q2 time was 2.34.736, what was the total pos number?

Answer: 1.0
[Table] header: Pos | No | Driver | Constructor | Q1 order | Q1 time | Q1 pos | Q1+Q2 time row 1 : 1 | 9 | Kimi Räikkönen | McLaren - Mercedes | 18 | 1:13.644 | 1 | 2.30.325
row 2 : 2 | 5 | Fernando Alonso | Renault | 17 | 1:14.125 | 2 | 2.30.406
row 3 : 3 | 7 | Mark Webber | Williams - BMW | 13 | 1:14.584 | 3 | 2.31.656
row 4 : 4 | 6 | Giancarlo Fisichella | Renault | 14 | 1:14.783 | 4 | 2.32.100
row 5 : 5 | 16 | Jarno Trulli | Toyota | 16 | 1:15.189 | 7 | 2.32.590
row 6 : 6 | 8 | Nick Heidfeld | Williams - BMW | 9 | 1:15.128 | 6 | 2.32.883
row 7 : 7 | 14 | David Coulthard | Red Bull - Cosworth | 11 | 1:15.329 | 8 | 2.33.867
row 8 : 8 | 1 | Michael Schumacher | Ferrari | 4 | 1:16.186 | 11 | 2.34.736
row 9 : 9 | 11 | Jacques Villeneuve | Sauber - Petronas | 5 | 1:15.921 | 9 | 2.34.936
row 10 : 10 | 2 | Rubens Barrichello | Ferrari | 10 | 1:16.142 | 10 | 2.34.983
row 11 : 11 | 12 | Felipe Massa | Sauber - Petronas | 8 | 1:16.218 | 12 | 2.35.120
row 12 : 12 | 15 | Vitantonio Liuzzi | Red Bull - Cosworth | 1 | 1:16.817 | 13 | 2.37.152
row 13 : 13 | 20 | Patrick Friesacher | Minardi - Cosworth | 2 | 1:18.574 | 14 | 2.40.810
row 14 : 14 | 21 | Christijan Albers | Minardi - Cosworth | 3 | 1:19.229 | 15 | 2.42.206
row 15 : 15 | 18 | Tiago Monteiro | Jordan - Toyota | 7 | 1:19.408 | 16 | 2.43.078
row 16 : 16 | 10 | Juan Pablo Montoya # | McLaren - Mercedes | 12 | 1:14.858 | 5 | NO TIME
row 17 : 17 | 19 | Narain Karthikeyan * | Jordan - Toyota | 6 | 1:19.474 | 17 | 2.43.422 [/Table] Answer this question based on the above table: When the q1 time is 1:16.218 what is the highest q1 pos? 

Answer: 12.0
[Table] header: Fiscal year | 2-car sets | 4-car sets | 6-car sets | 8-car sets | Total vehicles row 1 : 1963 | 0 | 15 | 0 | 0 | 60
row 2 : 1964 | 8 | 15 | 0 | 0 | 76
row 3 : 1965 | 21 | 21 | 0 | 0 | 126
row 4 : 1966 | 27 | 27 | 0 | 0 | 162
row 5 : 1967 | 39 | 36 | 0 | 0 | 222
row 6 : 1968 | 47 | 43 | 0 | 0 | 266
row 7 : 1969 | 58 | 51 | 0 | 0 | 320
row 8 : 1970 | 62 | 55 | 0 | 0 | 344
row 9 : 1971 | 62 | 42 | 13 | 0 | 370
row 10 : 1972 | 62 | 41 | 17 | 0 | 390
row 11 : 1973 | 63 | 41 | 22 | 0 | 422
row 12 : 1974 | 68 | 41 | 25 | 0 | 450
row 13 : 1976 | 70 | 41 | 31 | 0 | 490
row 14 : 1977 | 70 | 41 | 31 | 5 | 530
row 15 : 1978 | 70 | 42 | 31 | 9 | 566
row 16 : 1979 | 70 | 42 | 31 | 14 | 606
row 17 : 1980 | 73 | 45 | 32 | 16 | 646
row 18 : 1981 | 75 | 47 | 33 | 16 | 664 [/Table] Answer this question based on the above table: What is the smallest 8-car sets if 4-car sets is 47?

Answer: 16.0
[Table] header: Fiscal year | 2-car sets | 4-car sets | 6-car sets | 8-car sets | Total vehicles row 1 : 1963 | 0 | 15 | 0 | 0 | 60
row 2 : 1964 | 8 | 15 | 0 | 0 | 76
row 3 : 1965 | 21 | 21 | 0 | 0 | 126
row 4 : 1966 | 27 | 27 | 0 | 0 | 162
row 5 : 1967 | 39 | 36 | 0 | 0 | 222
row 6 : 1968 | 47 | 43 | 0 | 0 | 266
row 7 : 1969 | 58 | 51 | 0 | 0 | 320
row 8 : 1970 | 62 | 55 | 0 | 0 | 344
row 9 : 1971 | 62 | 42 | 13 | 0 | 370
row 10 : 1972 | 62 | 41 | 17 | 0 | 390
row 11 : 1973 | 63 | 41 | 22 | 0 | 422
row 12 : 1974 | 68 | 41 | 25 | 0 | 450
row 13 : 1976 | 70 | 41 | 31 | 0 | 490
row 14 : 1977 | 70 | 41 | 31 | 5 | 530
row 15 : 1978 | 70 | 42 | 31 | 9 | 566
row 16 : 1979 | 70 | 42 | 31 | 14 | 606
row 17 : 1980 | 73 | 45 | 32 | 16 | 646
row 18 : 1981 | 75 | 47 | 33 | 16 | 664 [/Table] Answer this question based on the above table: What is the largest 6-car-sets for fiscal year 1968?

Answer: 0.0
[Table] header: Fiscal year | 2-car sets | 4-car sets | 6-car sets | 8-car sets | Total vehicles row 1 : 1963 | 0 | 15 | 0 | 0 | 60
row 2 : 1964 | 8 | 15 | 0 | 0 | 76
row 3 : 1965 | 21 | 21 | 0 | 0 | 126
row 4 : 1966 | 27 | 27 | 0 | 0 | 162
row 5 : 1967 | 39 | 36 | 0 | 0 | 222
row 6 : 1968 | 47 | 43 | 0 | 0 | 266
row 7 : 1969 | 58 | 51 | 0 | 0 | 320
row 8 : 1970 | 62 | 55 | 0 | 0 | 344
row 9 : 1971 | 62 | 42 | 13 | 0 | 370
row 10 : 1972 | 62 | 41 | 17 | 0 | 390
row 11 : 1973 | 63 | 41 | 22 | 0 | 422
row 12 : 1974 | 68 | 41 | 25 | 0 | 450
row 13 : 1976 | 70 | 41 | 31 | 0 | 490
row 14 : 1977 | 70 | 41 | 31 | 5 | 530
row 15 : 1978 | 70 | 42 | 31 | 9 | 566
row 16 : 1979 | 70 | 42 | 31 | 14 | 606
row 17 : 1980 | 73 | 45 | 32 | 16 | 646
row 18 : 1981 | 75 | 47 | 33 | 16 | 664 [/Table] Answer this question based on the above table: What is the lowest fiscal year if total vehicles is 490?

Answer: 1976.0
[Table] header: Discipline | Degree/Diploma | Total Seats | Recognised Seats | Permitted Seats row 1 : Anaesthesiology | MD | 8 | 5 | 3
row 2 : Biochemistry | MD | 4 | 0 | 4
row 3 : Dermatology , Venereology  | MD | 1 | 1 | 0
row 4 : Forensic Medicine | MD | 4 | 3 | 1
row 5 : General Medicine | MD | 14 | 6 | 8
row 6 : Microbiology | MD | 6 | 4 | 2
row 7 : Pediatrics | MD | 7 | 7 | 0
row 8 : Pathology | MD | 8 | 0 | 8
row 9 : Pharmacology | MD | 4 | 3 | 1
row 10 : Physical medicine and rehabilitation | MD | 1 | 0 | 1
row 11 : Physiology | MD | 7 | 5 | 2
row 12 : Psychiatry | MD | 1 | 0 | 1
row 13 : Radiotherapy | MD | 4 | 0 | 4
row 14 : Social & Preventive Medicine | MD | 5 | 0 | 5
row 15 : Tuberculosis & Respir | MD | 3 | 3 | 0
row 16 : Anatomy | MD/MS | 5 | 4 | 1
row 17 : Obstetrics & Gynae | MD/MS | 14 | 12 | 2
row 18 : Ophthalmology | MD/MS | 1 | 1 | 0
row 19 : Otorhinolaryngology | MS | 4 | 4 | 0
row 20 : Orthopaedics | MS | 4 | 4 | 0
row 21 : General Surgery | MS | 14 | 6 | 8 [/Table] Answer this question based on the above table: Name the degree for otorhinolaryngology

Answer: MS