sail/symbolic-instruction-tuning huggingface dataset:
[Table] header: Rank | Name | Floors* | Year* (est.) | Status row 1 : 1 | Museum Plaza | 62 | n/a | cancelled; plans abandoned
row 2 : 2 | Capital Plaza | 25 | 2012 | proposed
row 3 : 3 | Jefferson Development | 18 | 2010 | proposed
row 4 : 4 | Willow Grande | 17 | 2011 | proposed
row 5 : 5 | RiverPark Place Tower 2 | 16 | 2008 | proposed
row 6 : 6 | RiverPark Place Tower 1 | 16 | 2008 | proposed
row 7 : 7 | Central City District Residential Tower | 15 | 2010 | proposed
row 8 : 8 | ZirMed Gateway Towers | 12 | 2009 | completed [/Table] Answer this question based on the above table: What is the rank of the Riverpark Place Tower 2 with under 62 floors, and a construction date of 2008?

Answer: 5.0
[Table] header: Player | Team | Matches | Innings | Runs | Average | Highest Score | 100s row 1 : Arthur Morris | Australia | 5 | 9 | 696 | 87.00 | 196 | 3
row 2 : Denis Compton | England | 5 | 10 | 562 | 62.44 | 184 | 2
row 3 : Donald Bradman | Australia | 5 | 9 | 508 | 72.57 | 173* | 2
row 4 : Cyril Washbrook | England | 4 | 8 | 356 | 50.85 | 143 | 1
row 5 : Len Hutton | England | 4 | 8 | 342 | 42.75 | 81 | 0
row 6 : Sid Barnes | Australia | 4 | 6 | 329 | 82.25 | 141 | 1
row 7 : Bill Edrich | England | 5 | 10 | 342 | 31.90 | 111 | 1
row 8 : Lindsay Hassett | Australia | 5 | 8 | 310 | 44.28 | 137 | 1 [/Table] Answer this question based on the above table: Which player has less than 2 in the 100s category, more than 4 matches, and an average greater than 42.75?

Answer: Lindsay Hassett
[Table] header: Player | Team | Matches | Innings | Runs | Average | Highest Score | 100s row 1 : Arthur Morris | Australia | 5 | 9 | 696 | 87.00 | 196 | 3
row 2 : Denis Compton | England | 5 | 10 | 562 | 62.44 | 184 | 2
row 3 : Donald Bradman | Australia | 5 | 9 | 508 | 72.57 | 173* | 2
row 4 : Cyril Washbrook | England | 4 | 8 | 356 | 50.85 | 143 | 1
row 5 : Len Hutton | England | 4 | 8 | 342 | 42.75 | 81 | 0
row 6 : Sid Barnes | Australia | 4 | 6 | 329 | 82.25 | 141 | 1
row 7 : Bill Edrich | England | 5 | 10 | 342 | 31.90 | 111 | 1
row 8 : Lindsay Hassett | Australia | 5 | 8 | 310 | 44.28 | 137 | 1 [/Table] Answer this question based on the above table: How many matches have a 100s category less than 0?

Answer: 0.0
[Table] header: Player | Team | Matches | Innings | Runs | Average | Highest Score | 100s row 1 : Arthur Morris | Australia | 5 | 9 | 696 | 87.00 | 196 | 3
row 2 : Denis Compton | England | 5 | 10 | 562 | 62.44 | 184 | 2
row 3 : Donald Bradman | Australia | 5 | 9 | 508 | 72.57 | 173* | 2
row 4 : Cyril Washbrook | England | 4 | 8 | 356 | 50.85 | 143 | 1
row 5 : Len Hutton | England | 4 | 8 | 342 | 42.75 | 81 | 0
row 6 : Sid Barnes | Australia | 4 | 6 | 329 | 82.25 | 141 | 1
row 7 : Bill Edrich | England | 5 | 10 | 342 | 31.90 | 111 | 1
row 8 : Lindsay Hassett | Australia | 5 | 8 | 310 | 44.28 | 137 | 1 [/Table] Answer this question based on the above table: What is the average number of innings with more than 3 in the 100s category?

Answer: none
[Table] header: Player | Team | Matches | Innings | Runs | Average | Highest Score | 100s row 1 : Arthur Morris | Australia | 5 | 9 | 696 | 87.00 | 196 | 3
row 2 : Denis Compton | England | 5 | 10 | 562 | 62.44 | 184 | 2
row 3 : Donald Bradman | Australia | 5 | 9 | 508 | 72.57 | 173* | 2
row 4 : Cyril Washbrook | England | 4 | 8 | 356 | 50.85 | 143 | 1
row 5 : Len Hutton | England | 4 | 8 | 342 | 42.75 | 81 | 0
row 6 : Sid Barnes | Australia | 4 | 6 | 329 | 82.25 | 141 | 1
row 7 : Bill Edrich | England | 5 | 10 | 342 | 31.90 | 111 | 1
row 8 : Lindsay Hassett | Australia | 5 | 8 | 310 | 44.28 | 137 | 1 [/Table] Answer this question based on the above table: What is the largest number of innings with less than 342 runs and more than 4 matches?

Answer: 8.0
[Table] header: Player | Team | Matches | Innings | Runs | Average | Highest Score | 100s row 1 : Arthur Morris | Australia | 5 | 9 | 696 | 87.00 | 196 | 3
row 2 : Denis Compton | England | 5 | 10 | 562 | 62.44 | 184 | 2
row 3 : Donald Bradman | Australia | 5 | 9 | 508 | 72.57 | 173* | 2
row 4 : Cyril Washbrook | England | 4 | 8 | 356 | 50.85 | 143 | 1
row 5 : Len Hutton | England | 4 | 8 | 342 | 42.75 | 81 | 0
row 6 : Sid Barnes | Australia | 4 | 6 | 329 | 82.25 | 141 | 1
row 7 : Bill Edrich | England | 5 | 10 | 342 | 31.90 | 111 | 1
row 8 : Lindsay Hassett | Australia | 5 | 8 | 310 | 44.28 | 137 | 1 [/Table] Answer this question based on the above table: What is the average value in the 100s category when the high score is 196?

Answer: 3.0
[Table] header: Round | Pick # | Player | Position | College row 1 : 1 | 18 | Reuben Gant | Tight end | Oklahoma State
row 2 : 2 | 27 | Doug Allen | Linebacker | Penn State
row 3 : 3 | 70 | Gary Marangi | Quarterback | Boston College
row 4 : 4 | 95 | Carlester Crumpler | Running back | East Carolina
row 5 : 5 | 106 | Gary Hayman | Wide receiver | Penn State
row 6 : 5 | 122 | Tim Guy | Tackle | Oregon
row 7 : 8 | 203 | Greg Hare | Quarterback | Ohio State
row 8 : 9 | 226 | Brian Doherty | Punter | Notre Dame
row 9 : 10 | 241 | Art Cameron | Tight end | Albany State
row 10 : 10 | 249 | Don Calhoun | Running back | Kansas State
row 11 : 11 | 279 | Rod Kirby | Linebacker | Pittsburgh
row 12 : 12 | 303 | Dave Means | Defensive end | Southeast Missouri State
row 13 : 13 | 331 | Ed Gatewood | Linebacker | Tennessee State
row 14 : 14 | 339 | Phil Lamm | Defensive back | North Carolina
row 15 : 14 | 355 | Phil Gurbada | Defensive back | Mayville
row 16 : 15 | 382 | Ken Williams | Linebacker | Southwestern Louisiana
row 17 : 16 | 406 | Sanford Qvale | Tackle | North Dakota State
row 18 : 17 | 434 | Sal Casola | Kicker | Cincinnati [/Table] Answer this question based on the above table: A Round larger than 1, a College of Oklahoma state, and a average Pick # that has a Position of tight end is what?

Answer: none
[Table] header: Round | Pick # | Player | Position | College row 1 : 1 | 18 | Reuben Gant | Tight end | Oklahoma State
row 2 : 2 | 27 | Doug Allen | Linebacker | Penn State
row 3 : 3 | 70 | Gary Marangi | Quarterback | Boston College
row 4 : 4 | 95 | Carlester Crumpler | Running back | East Carolina
row 5 : 5 | 106 | Gary Hayman | Wide receiver | Penn State
row 6 : 5 | 122 | Tim Guy | Tackle | Oregon
row 7 : 8 | 203 | Greg Hare | Quarterback | Ohio State
row 8 : 9 | 226 | Brian Doherty | Punter | Notre Dame
row 9 : 10 | 241 | Art Cameron | Tight end | Albany State
row 10 : 10 | 249 | Don Calhoun | Running back | Kansas State
row 11 : 11 | 279 | Rod Kirby | Linebacker | Pittsburgh
row 12 : 12 | 303 | Dave Means | Defensive end | Southeast Missouri State
row 13 : 13 | 331 | Ed Gatewood | Linebacker | Tennessee State
row 14 : 14 | 339 | Phil Lamm | Defensive back | North Carolina
row 15 : 14 | 355 | Phil Gurbada | Defensive back | Mayville
row 16 : 15 | 382 | Ken Williams | Linebacker | Southwestern Louisiana
row 17 : 16 | 406 | Sanford Qvale | Tackle | North Dakota State
row 18 : 17 | 434 | Sal Casola | Kicker | Cincinnati [/Table] Answer this question based on the above table: A Pick # larger than 339 and the College that has a Round of 14 is what?

Answer: Mayville
[Table] header: Round | Pick # | Player | Position | College row 1 : 1 | 18 | Reuben Gant | Tight end | Oklahoma State
row 2 : 2 | 27 | Doug Allen | Linebacker | Penn State
row 3 : 3 | 70 | Gary Marangi | Quarterback | Boston College
row 4 : 4 | 95 | Carlester Crumpler | Running back | East Carolina
row 5 : 5 | 106 | Gary Hayman | Wide receiver | Penn State
row 6 : 5 | 122 | Tim Guy | Tackle | Oregon
row 7 : 8 | 203 | Greg Hare | Quarterback | Ohio State
row 8 : 9 | 226 | Brian Doherty | Punter | Notre Dame
row 9 : 10 | 241 | Art Cameron | Tight end | Albany State
row 10 : 10 | 249 | Don Calhoun | Running back | Kansas State
row 11 : 11 | 279 | Rod Kirby | Linebacker | Pittsburgh
row 12 : 12 | 303 | Dave Means | Defensive end | Southeast Missouri State
row 13 : 13 | 331 | Ed Gatewood | Linebacker | Tennessee State
row 14 : 14 | 339 | Phil Lamm | Defensive back | North Carolina
row 15 : 14 | 355 | Phil Gurbada | Defensive back | Mayville
row 16 : 15 | 382 | Ken Williams | Linebacker | Southwestern Louisiana
row 17 : 16 | 406 | Sanford Qvale | Tackle | North Dakota State
row 18 : 17 | 434 | Sal Casola | Kicker | Cincinnati [/Table] Answer this question based on the above table: Pick # of 331 went to which college?

Answer: Tennessee State
[Table] header: Round | Pick # | Player | Position | College row 1 : 1 | 18 | Reuben Gant | Tight end | Oklahoma State
row 2 : 2 | 27 | Doug Allen | Linebacker | Penn State
row 3 : 3 | 70 | Gary Marangi | Quarterback | Boston College
row 4 : 4 | 95 | Carlester Crumpler | Running back | East Carolina
row 5 : 5 | 106 | Gary Hayman | Wide receiver | Penn State
row 6 : 5 | 122 | Tim Guy | Tackle | Oregon
row 7 : 8 | 203 | Greg Hare | Quarterback | Ohio State
row 8 : 9 | 226 | Brian Doherty | Punter | Notre Dame
row 9 : 10 | 241 | Art Cameron | Tight end | Albany State
row 10 : 10 | 249 | Don Calhoun | Running back | Kansas State
row 11 : 11 | 279 | Rod Kirby | Linebacker | Pittsburgh
row 12 : 12 | 303 | Dave Means | Defensive end | Southeast Missouri State
row 13 : 13 | 331 | Ed Gatewood | Linebacker | Tennessee State
row 14 : 14 | 339 | Phil Lamm | Defensive back | North Carolina
row 15 : 14 | 355 | Phil Gurbada | Defensive back | Mayville
row 16 : 15 | 382 | Ken Williams | Linebacker | Southwestern Louisiana
row 17 : 16 | 406 | Sanford Qvale | Tackle | North Dakota State
row 18 : 17 | 434 | Sal Casola | Kicker | Cincinnati [/Table] Answer this question based on the above table: Pick # of 203 went to which college?

Answer: Ohio State
[Table] header: Length feet (m) | Width feet (m) | Load short tons (MT) | Truss type(s) | Year built | Source (Year) row 1 : feet (m) | feet 6inches (m) | short tons (t) | Queen post | 1878 | Landis (1966)
row 2 : feet 2inches (m) | feet 5inches (m) | short tons (t) | Wood or Timber | Pre-1900 | NBI (2009)
row 3 : feet (m) | feet 5inches (m) | short tons (t) | Multiple kingpost and queenpost Burr arch | 1898 | NRHP (1980)
row 4 : feet 4inches (m) | feet 8.5inches (m) | NA | Queenpost with kingpost | 1898 | Evans (2001)
row 5 : feet (m) | feet 5inches (m) | NA | Burr | 1898 | Zacher (1994) [/Table] Answer this question based on the above table: What is the width feet in meeters for the truss with a source of nbi (2009)?

Answer: feet 5inches (m)
[Table] header: Length feet (m) | Width feet (m) | Load short tons (MT) | Truss type(s) | Year built | Source (Year) row 1 : feet (m) | feet 6inches (m) | short tons (t) | Queen post | 1878 | Landis (1966)
row 2 : feet 2inches (m) | feet 5inches (m) | short tons (t) | Wood or Timber | Pre-1900 | NBI (2009)
row 3 : feet (m) | feet 5inches (m) | short tons (t) | Multiple kingpost and queenpost Burr arch | 1898 | NRHP (1980)
row 4 : feet 4inches (m) | feet 8.5inches (m) | NA | Queenpost with kingpost | 1898 | Evans (2001)
row 5 : feet (m) | feet 5inches (m) | NA | Burr | 1898 | Zacher (1994) [/Table] Answer this question based on the above table: What is the width for hte truss with a source of zacher (1994)?

Answer: feet 5inches (m)
[Table] header: Articulatory class | Non- stop | Plain stop | Aspirated stop | "Muddy" voice row 1 : 牙音 "molar sounds" | (ㆁ) | ㄱ | ㅋ | ㄲ
row 2 : 舌音 "tongue sounds" | ㄴ | ㄷ | ㅌ | ㄸ
row 3 : 脣音 "lip sounds" | ㅁ | ㅂ | ㅍ | ㅃ
row 4 : 齒音 "incisor sounds" | ㅅ | ㅈ | ㅊ | ㅉ, ㅆ
row 5 : 喉音 "throat sounds" | ㅇ | ㆆ | ㅎ | ᅇ, ㆅ
row 6 : 輕脣音 "light lip sounds" | ㅱ | ㅸ | ㆄ | ㅹ [/Table] Answer this question based on the above table: Which Articulatory class has and Aspirated stop of ㅍ?

Answer: 脣音 "lip sounds"
[Table] header: Articulatory class | Non- stop | Plain stop | Aspirated stop | "Muddy" voice row 1 : 牙音 "molar sounds" | (ㆁ) | ㄱ | ㅋ | ㄲ
row 2 : 舌音 "tongue sounds" | ㄴ | ㄷ | ㅌ | ㄸ
row 3 : 脣音 "lip sounds" | ㅁ | ㅂ | ㅍ | ㅃ
row 4 : 齒音 "incisor sounds" | ㅅ | ㅈ | ㅊ | ㅉ, ㅆ
row 5 : 喉音 "throat sounds" | ㅇ | ㆆ | ㅎ | ᅇ, ㆅ
row 6 : 輕脣音 "light lip sounds" | ㅱ | ㅸ | ㆄ | ㅹ [/Table] Answer this question based on the above table: Which Non- stop has an Aspirated stop of ㅎ?

Answer: ㅇ
[Table] header: Articulatory class | Non- stop | Plain stop | Aspirated stop | "Muddy" voice row 1 : 牙音 "molar sounds" | (ㆁ) | ㄱ | ㅋ | ㄲ
row 2 : 舌音 "tongue sounds" | ㄴ | ㄷ | ㅌ | ㄸ
row 3 : 脣音 "lip sounds" | ㅁ | ㅂ | ㅍ | ㅃ
row 4 : 齒音 "incisor sounds" | ㅅ | ㅈ | ㅊ | ㅉ, ㅆ
row 5 : 喉音 "throat sounds" | ㅇ | ㆆ | ㅎ | ᅇ, ㆅ
row 6 : 輕脣音 "light lip sounds" | ㅱ | ㅸ | ㆄ | ㅹ [/Table] Answer this question based on the above table: If the Non- stop is (ㆁ), what is the Articulatory Class?

Answer: 牙音 "molar sounds"
[Table] header: Articulatory class | Non- stop | Plain stop | Aspirated stop | "Muddy" voice row 1 : 牙音 "molar sounds" | (ㆁ) | ㄱ | ㅋ | ㄲ
row 2 : 舌音 "tongue sounds" | ㄴ | ㄷ | ㅌ | ㄸ
row 3 : 脣音 "lip sounds" | ㅁ | ㅂ | ㅍ | ㅃ
row 4 : 齒音 "incisor sounds" | ㅅ | ㅈ | ㅊ | ㅉ, ㅆ
row 5 : 喉音 "throat sounds" | ㅇ | ㆆ | ㅎ | ᅇ, ㆅ
row 6 : 輕脣音 "light lip sounds" | ㅱ | ㅸ | ㆄ | ㅹ [/Table] Answer this question based on the above table: Which Aspirated stop has a "Muddy" voice of ㄲ?

Answer: ㅋ
[Table] header: Articulatory class | Non- stop | Plain stop | Aspirated stop | "Muddy" voice row 1 : 牙音 "molar sounds" | (ㆁ) | ㄱ | ㅋ | ㄲ
row 2 : 舌音 "tongue sounds" | ㄴ | ㄷ | ㅌ | ㄸ
row 3 : 脣音 "lip sounds" | ㅁ | ㅂ | ㅍ | ㅃ
row 4 : 齒音 "incisor sounds" | ㅅ | ㅈ | ㅊ | ㅉ, ㅆ
row 5 : 喉音 "throat sounds" | ㅇ | ㆆ | ㅎ | ᅇ, ㆅ
row 6 : 輕脣音 "light lip sounds" | ㅱ | ㅸ | ㆄ | ㅹ [/Table] Answer this question based on the above table: If the Plain stop is ㄷ, what is the Non- stop?

Answer: ㄴ
[Table] header: Articulatory class | Non- stop | Plain stop | Aspirated stop | "Muddy" voice row 1 : 牙音 "molar sounds" | (ㆁ) | ㄱ | ㅋ | ㄲ
row 2 : 舌音 "tongue sounds" | ㄴ | ㄷ | ㅌ | ㄸ
row 3 : 脣音 "lip sounds" | ㅁ | ㅂ | ㅍ | ㅃ
row 4 : 齒音 "incisor sounds" | ㅅ | ㅈ | ㅊ | ㅉ, ㅆ
row 5 : 喉音 "throat sounds" | ㅇ | ㆆ | ㅎ | ᅇ, ㆅ
row 6 : 輕脣音 "light lip sounds" | ㅱ | ㅸ | ㆄ | ㅹ [/Table] Answer this question based on the above table: If the "Muddy" voice is ᅇ, ㆅ, what is the Articulatory class?

Answer: 喉音 "throat sounds"
[Table] header: Round | Pick | Player | Position | School row 1 : 1 | 3 | Bruce Pickens | Defensive Back | Nebraska
row 2 : 1 | 13 | Mike Pritchard | Wide Receiver | Colorado
row 3 : 2 | 33 | Brett Favre | Quarterback | Southern Mississippi
row 4 : 4 | 87 | Moe Gardner | Defensive Tackle | Illinois
row 5 : 5 | 114 | James Goode | Linebacker | Oklahoma
row 6 : 6 | 145 | Erric Pegram | Running Back | North Texas
row 7 : 7 | 172 | Brian K. Mitchell | Defensive Back | BYU
row 8 : 7 | 186 | Mark Tucker | Guard | USC
row 9 : 8 | 199 | Randy Austin | Tight End | UCLA
row 10 : 9 | 226 | Ernie Logan | Nose tackle | East Carolina
row 11 : 10 | 256 | Walter Sutton | Wide Receiver | Southwest Minnesota
row 12 : 11 | 258 | Pete Lucas | Tackle | Wisconsin–Stevens Point
row 13 : 11 | 283 | Joe Sims | Tackle | Nebraska
row 14 : 12 | 310 | Bob Christian | Running Back | Northwestern [/Table] Answer this question based on the above table: What round was Joe Sims picked?

Answer: 11.0
[Table] header: Round | Pick | Player | Position | School row 1 : 1 | 3 | Bruce Pickens | Defensive Back | Nebraska
row 2 : 1 | 13 | Mike Pritchard | Wide Receiver | Colorado
row 3 : 2 | 33 | Brett Favre | Quarterback | Southern Mississippi
row 4 : 4 | 87 | Moe Gardner | Defensive Tackle | Illinois
row 5 : 5 | 114 | James Goode | Linebacker | Oklahoma
row 6 : 6 | 145 | Erric Pegram | Running Back | North Texas
row 7 : 7 | 172 | Brian K. Mitchell | Defensive Back | BYU
row 8 : 7 | 186 | Mark Tucker | Guard | USC
row 9 : 8 | 199 | Randy Austin | Tight End | UCLA
row 10 : 9 | 226 | Ernie Logan | Nose tackle | East Carolina
row 11 : 10 | 256 | Walter Sutton | Wide Receiver | Southwest Minnesota
row 12 : 11 | 258 | Pete Lucas | Tackle | Wisconsin–Stevens Point
row 13 : 11 | 283 | Joe Sims | Tackle | Nebraska
row 14 : 12 | 310 | Bob Christian | Running Back | Northwestern [/Table] Answer this question based on the above table: What was Moe Gardner's pick?

Answer: 87.0
[Table] header: Round | Pick | Player | Position | School row 1 : 1 | 3 | Bruce Pickens | Defensive Back | Nebraska
row 2 : 1 | 13 | Mike Pritchard | Wide Receiver | Colorado
row 3 : 2 | 33 | Brett Favre | Quarterback | Southern Mississippi
row 4 : 4 | 87 | Moe Gardner | Defensive Tackle | Illinois
row 5 : 5 | 114 | James Goode | Linebacker | Oklahoma
row 6 : 6 | 145 | Erric Pegram | Running Back | North Texas
row 7 : 7 | 172 | Brian K. Mitchell | Defensive Back | BYU
row 8 : 7 | 186 | Mark Tucker | Guard | USC
row 9 : 8 | 199 | Randy Austin | Tight End | UCLA
row 10 : 9 | 226 | Ernie Logan | Nose tackle | East Carolina
row 11 : 10 | 256 | Walter Sutton | Wide Receiver | Southwest Minnesota
row 12 : 11 | 258 | Pete Lucas | Tackle | Wisconsin–Stevens Point
row 13 : 11 | 283 | Joe Sims | Tackle | Nebraska
row 14 : 12 | 310 | Bob Christian | Running Back | Northwestern [/Table] Answer this question based on the above table: What was the highest round that had northwestern?

Answer: 12.0
[Table] header: Province | Area (km 2 ) | Total population (2000 census) | Total population (2005 estimate) | Total population (2010 census) row 1 : West Kalimantan (Kalimant | 147,307.00 | 4,016,353 | 4,042,817 | 4,393,239
row 2 : Central Kalimantan (Kalimant | 153,564.50 | 1,801,965 | 1,913,026 | 2,202,599
row 3 : South Kalimantan (Kalimant | 38,744.23 | 2,984,026 | 3,271,413 | 3,626,119
row 4 : East Kalimantan (Kalimant | 204,534.34 | 2,451,895 | 2,840,874 | 3,550,586
row 5 : North Kalimantan (Kalimant | 71,176.72 | — | 473,424 | 524,526
row 6 : Total | 615,326.79 | 11,254,239 | 12,541,554 | 14,297,069 [/Table] Answer this question based on the above table: Which Total population (2010 census) has an Area (km 2) smaller than 147,307.00?

Answer: 3626119.0
[Table] header: Province | Area (km 2 ) | Total population (2000 census) | Total population (2005 estimate) | Total population (2010 census) row 1 : West Kalimantan (Kalimant | 147,307.00 | 4,016,353 | 4,042,817 | 4,393,239
row 2 : Central Kalimantan (Kalimant | 153,564.50 | 1,801,965 | 1,913,026 | 2,202,599
row 3 : South Kalimantan (Kalimant | 38,744.23 | 2,984,026 | 3,271,413 | 3,626,119
row 4 : East Kalimantan (Kalimant | 204,534.34 | 2,451,895 | 2,840,874 | 3,550,586
row 5 : North Kalimantan (Kalimant | 71,176.72 | — | 473,424 | 524,526
row 6 : Total | 615,326.79 | 11,254,239 | 12,541,554 | 14,297,069 [/Table] Answer this question based on the above table: Which Total population (2005 estimate) has a Total population (2010 census) of 3,626,119?

Answer: 3271413.0
[Table] header: Province | Area (km 2 ) | Total population (2000 census) | Total population (2005 estimate) | Total population (2010 census) row 1 : West Kalimantan (Kalimant | 147,307.00 | 4,016,353 | 4,042,817 | 4,393,239
row 2 : Central Kalimantan (Kalimant | 153,564.50 | 1,801,965 | 1,913,026 | 2,202,599
row 3 : South Kalimantan (Kalimant | 38,744.23 | 2,984,026 | 3,271,413 | 3,626,119
row 4 : East Kalimantan (Kalimant | 204,534.34 | 2,451,895 | 2,840,874 | 3,550,586
row 5 : North Kalimantan (Kalimant | 71,176.72 | — | 473,424 | 524,526
row 6 : Total | 615,326.79 | 11,254,239 | 12,541,554 | 14,297,069 [/Table] Answer this question based on the above table: Which Total population (2005 estimate) has a Province of west kalimantan (kalimantan barat), and an Area (km 2) smaller than 147,307.00?

Answer: none
[Table] header: Game | March | Opponent | Score | Record row 1 : 64 | 2 | Boston Bruins | 2 - 1 | 30-25-9
row 2 : 65 | 5 | Buffalo Sabres | 4 - 2 | 31-25-9
row 3 : 66 | 8 | @ Montreal Canadiens | 5 - 2 | 31-26-9
row 4 : 67 | 9 | Minnesota North Stars | 4 - 2 | 32-26-9
row 5 : 68 | 12 | Colorado Rockies | 6 - 0 | 33-26-9
row 6 : 69 | 15 | @ Toronto Maple Leafs | 8 - 4 | 34-26-9
row 7 : 70 | 16 | St. Louis Blues | 5 - 2 | 35-26-9
row 8 : 71 | 19 | @ Edmonton Oilers | 4 - 2 | 35-27-9
row 9 : 72 | 21 | @ Winnipeg Jets | 4 - 2 | 35-28-9
row 10 : 73 | 23 | Montreal Canadiens | 6 - 1 | 35-29-9
row 11 : 74 | 25 | Buffalo Sabres | 3 - 3 | 35-29-10
row 12 : 75 | 28 | @ Atlanta Flames | 4 - 2 | 35-30-10
row 13 : 76 | 29 | @ St. Louis Blues | 4 - 3 | 36-30-10
row 14 : 77 | 31 | Detroit Red Wings | 7 - 5 | 37-30-10 [/Table] Answer this question based on the above table: who is the opponent after march 21 and the game is 75?

Answer: @ Atlanta Flames
[Table] header: Game | March | Opponent | Score | Record row 1 : 64 | 2 | Boston Bruins | 2 - 1 | 30-25-9
row 2 : 65 | 5 | Buffalo Sabres | 4 - 2 | 31-25-9
row 3 : 66 | 8 | @ Montreal Canadiens | 5 - 2 | 31-26-9
row 4 : 67 | 9 | Minnesota North Stars | 4 - 2 | 32-26-9
row 5 : 68 | 12 | Colorado Rockies | 6 - 0 | 33-26-9
row 6 : 69 | 15 | @ Toronto Maple Leafs | 8 - 4 | 34-26-9
row 7 : 70 | 16 | St. Louis Blues | 5 - 2 | 35-26-9
row 8 : 71 | 19 | @ Edmonton Oilers | 4 - 2 | 35-27-9
row 9 : 72 | 21 | @ Winnipeg Jets | 4 - 2 | 35-28-9
row 10 : 73 | 23 | Montreal Canadiens | 6 - 1 | 35-29-9
row 11 : 74 | 25 | Buffalo Sabres | 3 - 3 | 35-29-10
row 12 : 75 | 28 | @ Atlanta Flames | 4 - 2 | 35-30-10
row 13 : 76 | 29 | @ St. Louis Blues | 4 - 3 | 36-30-10
row 14 : 77 | 31 | Detroit Red Wings | 7 - 5 | 37-30-10 [/Table] Answer this question based on the above table: what is the game when march is 15?

Answer: 69.0
[Table] header: Game | March | Opponent | Score | Record row 1 : 64 | 2 | Boston Bruins | 2 - 1 | 30-25-9
row 2 : 65 | 5 | Buffalo Sabres | 4 - 2 | 31-25-9
row 3 : 66 | 8 | @ Montreal Canadiens | 5 - 2 | 31-26-9
row 4 : 67 | 9 | Minnesota North Stars | 4 - 2 | 32-26-9
row 5 : 68 | 12 | Colorado Rockies | 6 - 0 | 33-26-9
row 6 : 69 | 15 | @ Toronto Maple Leafs | 8 - 4 | 34-26-9
row 7 : 70 | 16 | St. Louis Blues | 5 - 2 | 35-26-9
row 8 : 71 | 19 | @ Edmonton Oilers | 4 - 2 | 35-27-9
row 9 : 72 | 21 | @ Winnipeg Jets | 4 - 2 | 35-28-9
row 10 : 73 | 23 | Montreal Canadiens | 6 - 1 | 35-29-9
row 11 : 74 | 25 | Buffalo Sabres | 3 - 3 | 35-29-10
row 12 : 75 | 28 | @ Atlanta Flames | 4 - 2 | 35-30-10
row 13 : 76 | 29 | @ St. Louis Blues | 4 - 3 | 36-30-10
row 14 : 77 | 31 | Detroit Red Wings | 7 - 5 | 37-30-10 [/Table] Answer this question based on the above table: what is the score when the game is higher than 66 on march 28?

Answer: 4 - 2
[Table] header: Date | Home team | Score | Away team | Venue | Box Score | Report row 1 : 29 October | Wollongong Hawks | 101-93 | Cairns Taipans | WIN Entertainment Centre | box score | report
row 2 : 30 October | New Zealand Breakers | 103-99 | Perth Wildcats | North Shore Events Centre | box score | report
row 3 : 1 November | Cairns Taipans | 87-89 | Wollongong Hawks | Cairns Convention Centre | box score | report
row 4 : 1 November | Melbourne Tigers | 123-111 | Gold Coast Blaze | State Netball and Hockey Centre | box score | report
row 5 : 1 November | South Dragons | 96-87 | Sydney Spirit | Hisense Arena | box score | report
row 6 : 1 November | Townsville Crocodiles | 97-106 | New Zealand Breakers | Townsville Entertainment Centre | box score | report
row 7 : 2 November | Adelaide 36ers | 108-76 | Sydney Spirit | Distinctive Homes Dome | box score | report [/Table] Answer this question based on the above table: What was the report for an away team of Sydney Spirit and score of 96-87?

Answer: report
[Table] header: Date | Home team | Score | Away team | Venue | Box Score | Report row 1 : 29 October | Wollongong Hawks | 101-93 | Cairns Taipans | WIN Entertainment Centre | box score | report
row 2 : 30 October | New Zealand Breakers | 103-99 | Perth Wildcats | North Shore Events Centre | box score | report
row 3 : 1 November | Cairns Taipans | 87-89 | Wollongong Hawks | Cairns Convention Centre | box score | report
row 4 : 1 November | Melbourne Tigers | 123-111 | Gold Coast Blaze | State Netball and Hockey Centre | box score | report
row 5 : 1 November | South Dragons | 96-87 | Sydney Spirit | Hisense Arena | box score | report
row 6 : 1 November | Townsville Crocodiles | 97-106 | New Zealand Breakers | Townsville Entertainment Centre | box score | report
row 7 : 2 November | Adelaide 36ers | 108-76 | Sydney Spirit | Distinctive Homes Dome | box score | report [/Table] Answer this question based on the above table: Who was the home team with a score of 101-93?

Answer: Wollongong Hawks
[Table] header: Date | Home team | Score | Away team | Venue | Box Score | Report row 1 : 29 October | Wollongong Hawks | 101-93 | Cairns Taipans | WIN Entertainment Centre | box score | report
row 2 : 30 October | New Zealand Breakers | 103-99 | Perth Wildcats | North Shore Events Centre | box score | report
row 3 : 1 November | Cairns Taipans | 87-89 | Wollongong Hawks | Cairns Convention Centre | box score | report
row 4 : 1 November | Melbourne Tigers | 123-111 | Gold Coast Blaze | State Netball and Hockey Centre | box score | report
row 5 : 1 November | South Dragons | 96-87 | Sydney Spirit | Hisense Arena | box score | report
row 6 : 1 November | Townsville Crocodiles | 97-106 | New Zealand Breakers | Townsville Entertainment Centre | box score | report
row 7 : 2 November | Adelaide 36ers | 108-76 | Sydney Spirit | Distinctive Homes Dome | box score | report [/Table] Answer this question based on the above table: What was the score for the Perth Wildcats as away team?

Answer: 103-99
[Table] header: Date | Home team | Score | Away team | Venue | Box Score | Report row 1 : 29 October | Wollongong Hawks | 101-93 | Cairns Taipans | WIN Entertainment Centre | box score | report
row 2 : 30 October | New Zealand Breakers | 103-99 | Perth Wildcats | North Shore Events Centre | box score | report
row 3 : 1 November | Cairns Taipans | 87-89 | Wollongong Hawks | Cairns Convention Centre | box score | report
row 4 : 1 November | Melbourne Tigers | 123-111 | Gold Coast Blaze | State Netball and Hockey Centre | box score | report
row 5 : 1 November | South Dragons | 96-87 | Sydney Spirit | Hisense Arena | box score | report
row 6 : 1 November | Townsville Crocodiles | 97-106 | New Zealand Breakers | Townsville Entertainment Centre | box score | report
row 7 : 2 November | Adelaide 36ers | 108-76 | Sydney Spirit | Distinctive Homes Dome | box score | report [/Table] Answer this question based on the above table: On what date were the Melbourne Tigers the home team?

Answer: 1 November
[Table] header: Episode | 7 Deadly Sin | Challenge Winner | Challenge Loser | Voted In To 'El Duelo' | Eliminated row 1 : 1A | Passion | Silvia & Vinci | Janet | Jainmy & Maria | Maria
row 2 : 1B | Passion | Roseny | Janet | Jainmy | Jainmy
row 3 : 2 | Lust | Berto | Alexcy | Geovannie | Alexcy
row 4 : 3 | Vanity | Jenn | Janet | Vinci | Kalain 1 & Janet
row 5 : 4 | Drama | Jenn & Geovannie | Enrique | Vinci | Vinci
row 6 : 5 | Fire | Gisel | Enrique | Geovannie | Silvia 3 & Enrique
row 7 : 6 | Seduction | Geovannie | Roseny | Jenn | Roseny
row 8 : 7 | Scandal | Geovannie | Gisel | Geovannie | Geovannie [/Table] Answer this question based on the above table: Which challenge loser has a Challenge Winner of roseny?

Answer: Janet
[Table] header: Episode | 7 Deadly Sin | Challenge Winner | Challenge Loser | Voted In To 'El Duelo' | Eliminated row 1 : 1A | Passion | Silvia & Vinci | Janet | Jainmy & Maria | Maria
row 2 : 1B | Passion | Roseny | Janet | Jainmy | Jainmy
row 3 : 2 | Lust | Berto | Alexcy | Geovannie | Alexcy
row 4 : 3 | Vanity | Jenn | Janet | Vinci | Kalain 1 & Janet
row 5 : 4 | Drama | Jenn & Geovannie | Enrique | Vinci | Vinci
row 6 : 5 | Fire | Gisel | Enrique | Geovannie | Silvia 3 & Enrique
row 7 : 6 | Seduction | Geovannie | Roseny | Jenn | Roseny
row 8 : 7 | Scandal | Geovannie | Gisel | Geovannie | Geovannie [/Table] Answer this question based on the above table: Which episode has a Challenge Winner of berto?

Answer: 2.0
[Table] header: Episode | 7 Deadly Sin | Challenge Winner | Challenge Loser | Voted In To 'El Duelo' | Eliminated row 1 : 1A | Passion | Silvia & Vinci | Janet | Jainmy & Maria | Maria
row 2 : 1B | Passion | Roseny | Janet | Jainmy | Jainmy
row 3 : 2 | Lust | Berto | Alexcy | Geovannie | Alexcy
row 4 : 3 | Vanity | Jenn | Janet | Vinci | Kalain 1 & Janet
row 5 : 4 | Drama | Jenn & Geovannie | Enrique | Vinci | Vinci
row 6 : 5 | Fire | Gisel | Enrique | Geovannie | Silvia 3 & Enrique
row 7 : 6 | Seduction | Geovannie | Roseny | Jenn | Roseny
row 8 : 7 | Scandal | Geovannie | Gisel | Geovannie | Geovannie [/Table] Answer this question based on the above table: Which winner has a Challenge Loser of alexcy?

Answer: Berto
[Table] header: Episode | 7 Deadly Sin | Challenge Winner | Challenge Loser | Voted In To 'El Duelo' | Eliminated row 1 : 1A | Passion | Silvia & Vinci | Janet | Jainmy & Maria | Maria
row 2 : 1B | Passion | Roseny | Janet | Jainmy | Jainmy
row 3 : 2 | Lust | Berto | Alexcy | Geovannie | Alexcy
row 4 : 3 | Vanity | Jenn | Janet | Vinci | Kalain 1 & Janet
row 5 : 4 | Drama | Jenn & Geovannie | Enrique | Vinci | Vinci
row 6 : 5 | Fire | Gisel | Enrique | Geovannie | Silvia 3 & Enrique
row 7 : 6 | Seduction | Geovannie | Roseny | Jenn | Roseny
row 8 : 7 | Scandal | Geovannie | Gisel | Geovannie | Geovannie [/Table] Answer this question based on the above table: Which episode has a 7 Deadly Sin of fire?

Answer: 5.0
[Table] header: Episode | 7 Deadly Sin | Challenge Winner | Challenge Loser | Voted In To 'El Duelo' | Eliminated row 1 : 1A | Passion | Silvia & Vinci | Janet | Jainmy & Maria | Maria
row 2 : 1B | Passion | Roseny | Janet | Jainmy | Jainmy
row 3 : 2 | Lust | Berto | Alexcy | Geovannie | Alexcy
row 4 : 3 | Vanity | Jenn | Janet | Vinci | Kalain 1 & Janet
row 5 : 4 | Drama | Jenn & Geovannie | Enrique | Vinci | Vinci
row 6 : 5 | Fire | Gisel | Enrique | Geovannie | Silvia 3 & Enrique
row 7 : 6 | Seduction | Geovannie | Roseny | Jenn | Roseny
row 8 : 7 | Scandal | Geovannie | Gisel | Geovannie | Geovannie [/Table] Answer this question based on the above table: Which winner has a Challenge Loser of gisel?

Answer: Geovannie
[Table] header: Event | Skip | Lead | Alternate | Result row 1 : 2010 OG | Wang Bingyu | Zhou Yan | Liu Jinli | 3rd (6-3)
row 2 : 2009 WCC | Wang Bingyu | Zhou Yan | Liu Jinli | 1st (10-1)
row 3 : 2008 WCC | Wang Bingyu | Zhou Yan | Liu Jinli | 2nd (9-2)
row 4 : 2007 WCC | Wang Bingyu(3rd) | Zhou Yan | Sun Yue | 7th (5-6)
row 5 : 2006 WCC | Wang Bingyu | Zhou Yan | Sun Yue | T-5th (6-5)
row 6 : 2005 WCC | Wang Bingyu | Zhou Yan | Yu Xinna | T-7th (4-7) [/Table] Answer this question based on the above table: What was the result for the 2007 WCC when Sun Yue was the alternate?

Answer: 7th (5-6)
[Table] header: Event | Skip | Lead | Alternate | Result row 1 : 2010 OG | Wang Bingyu | Zhou Yan | Liu Jinli | 3rd (6-3)
row 2 : 2009 WCC | Wang Bingyu | Zhou Yan | Liu Jinli | 1st (10-1)
row 3 : 2008 WCC | Wang Bingyu | Zhou Yan | Liu Jinli | 2nd (9-2)
row 4 : 2007 WCC | Wang Bingyu(3rd) | Zhou Yan | Sun Yue | 7th (5-6)
row 5 : 2006 WCC | Wang Bingyu | Zhou Yan | Sun Yue | T-5th (6-5)
row 6 : 2005 WCC | Wang Bingyu | Zhou Yan | Yu Xinna | T-7th (4-7) [/Table] Answer this question based on the above table: What event has the result of 7th (5-6)?

Answer: 2007 WCC
[Table] header: Event | Skip | Lead | Alternate | Result row 1 : 2010 OG | Wang Bingyu | Zhou Yan | Liu Jinli | 3rd (6-3)
row 2 : 2009 WCC | Wang Bingyu | Zhou Yan | Liu Jinli | 1st (10-1)
row 3 : 2008 WCC | Wang Bingyu | Zhou Yan | Liu Jinli | 2nd (9-2)
row 4 : 2007 WCC | Wang Bingyu(3rd) | Zhou Yan | Sun Yue | 7th (5-6)
row 5 : 2006 WCC | Wang Bingyu | Zhou Yan | Sun Yue | T-5th (6-5)
row 6 : 2005 WCC | Wang Bingyu | Zhou Yan | Yu Xinna | T-7th (4-7) [/Table] Answer this question based on the above table: Who was the lead for the 2008 WCC?

Answer: Zhou Yan
[Table] header: Event | Skip | Lead | Alternate | Result row 1 : 2010 OG | Wang Bingyu | Zhou Yan | Liu Jinli | 3rd (6-3)
row 2 : 2009 WCC | Wang Bingyu | Zhou Yan | Liu Jinli | 1st (10-1)
row 3 : 2008 WCC | Wang Bingyu | Zhou Yan | Liu Jinli | 2nd (9-2)
row 4 : 2007 WCC | Wang Bingyu(3rd) | Zhou Yan | Sun Yue | 7th (5-6)
row 5 : 2006 WCC | Wang Bingyu | Zhou Yan | Sun Yue | T-5th (6-5)
row 6 : 2005 WCC | Wang Bingyu | Zhou Yan | Yu Xinna | T-7th (4-7) [/Table] Answer this question based on the above table: What was the Lead for the 2009 WCC when Wang Bingyu news was the skip?

Answer: Zhou Yan
[Table] header: Event | Skip | Lead | Alternate | Result row 1 : 2010 OG | Wang Bingyu | Zhou Yan | Liu Jinli | 3rd (6-3)
row 2 : 2009 WCC | Wang Bingyu | Zhou Yan | Liu Jinli | 1st (10-1)
row 3 : 2008 WCC | Wang Bingyu | Zhou Yan | Liu Jinli | 2nd (9-2)
row 4 : 2007 WCC | Wang Bingyu(3rd) | Zhou Yan | Sun Yue | 7th (5-6)
row 5 : 2006 WCC | Wang Bingyu | Zhou Yan | Sun Yue | T-5th (6-5)
row 6 : 2005 WCC | Wang Bingyu | Zhou Yan | Yu Xinna | T-7th (4-7) [/Table] Answer this question based on the above table: What event had Wang Bingyu for the skip?

Answer: 2010 OG, 2009 WCC, 2008 WCC, 2006 WCC, 2005 WCC
[Table] header: Event | Skip | Lead | Alternate | Result row 1 : 2010 OG | Wang Bingyu | Zhou Yan | Liu Jinli | 3rd (6-3)
row 2 : 2009 WCC | Wang Bingyu | Zhou Yan | Liu Jinli | 1st (10-1)
row 3 : 2008 WCC | Wang Bingyu | Zhou Yan | Liu Jinli | 2nd (9-2)
row 4 : 2007 WCC | Wang Bingyu(3rd) | Zhou Yan | Sun Yue | 7th (5-6)
row 5 : 2006 WCC | Wang Bingyu | Zhou Yan | Sun Yue | T-5th (6-5)
row 6 : 2005 WCC | Wang Bingyu | Zhou Yan | Yu Xinna | T-7th (4-7) [/Table] Answer this question based on the above table: What event was Sun Yue the alternate and wang bingyu(3rd) the skip?

Answer: 2007 WCC
[Table] header: Team 1 | Agg. | Team 2 | 1st leg | 2nd leg row 1 : Racing B | 2–3 | Noja | 2–1 | 0–2
row 2 : Espanyol B | 13–0 | ADF Logroñés | 2–0 | 11–0
row 3 : Real Madrid C | 1–2 | SS Reyes | 1–0 | 0–2
row 4 : Reus | 3–0 | Haro | 3–0 | 0–0
row 5 : Ferriolense | 2–5 | Ourense | 2–1 | 0–4
row 6 : Tuilla | 1–0 | Lemona | 0–0 | 1–0
row 7 : Marbella | 1–0 | Don Benito | 1–0 | 0–0
row 8 : Linares | 3–5 | Mazarrón | 1–1 | 2–4 [/Table] Answer this question based on the above table: WHAT IS THE SECOND LEG WITH HARO AS TEAM TWO?

Answer: 0–0
[Table] header: Team 1 | Agg. | Team 2 | 1st leg | 2nd leg row 1 : Racing B | 2–3 | Noja | 2–1 | 0–2
row 2 : Espanyol B | 13–0 | ADF Logroñés | 2–0 | 11–0
row 3 : Real Madrid C | 1–2 | SS Reyes | 1–0 | 0–2
row 4 : Reus | 3–0 | Haro | 3–0 | 0–0
row 5 : Ferriolense | 2–5 | Ourense | 2–1 | 0–4
row 6 : Tuilla | 1–0 | Lemona | 0–0 | 1–0
row 7 : Marbella | 1–0 | Don Benito | 1–0 | 0–0
row 8 : Linares | 3–5 | Mazarrón | 1–1 | 2–4 [/Table] Answer this question based on the above table: WHAT IS THE FIRST LEG OF TUILLA?

Answer: 0–0
[Table] header: Game | Date | Team | Score | High points | High assists | Location Attendance | Record row 1 : 47 | February 2 | @ Washington | W 113–97 (OT) | O. J. Mayo (33) | Mike Conley, Jr. (5) | Verizon Center 11,442 | 12–35
row 2 : 48 | February 4 | Houston | W 104–93 (OT) | O. J. Mayo (32) | Mike Conley, Jr. (7) | FedExForum 10,109 | 13–35
row 3 : 49 | February 6 | L.A. Clippers | L 105–126 (OT) | Rudy Gay (26) | Mike Conley, Jr. (3) | FedExForum 10,912 | 13–36
row 4 : 50 | February 7 | Toronto | W 78–70 (OT) | O. J. Mayo , Hakim | Mike Conley, Jr. (8) | FedExForum 11,498 | 14–36
row 5 : 51 | February 9 | New Orleans | W 85–80 (OT) | O. J. Mayo (22) | Mike Conley, Jr. (8) | FedExForum 10,896 | 15–36
row 6 : 52 | February 11 | @ Philadelphia | L 87–91 (OT) | Hakim Warrick (31) | O. J. Mayo (5) | Wachovia Center 12,812 | 15–37
row 7 : 53 | February 17 | @ Utah | L 99–117 (OT) | O. J. Mayo , Rudy | Mike Conley, Jr. (4) | EnergySolutions Arena 19,911 | 15–38
row 8 : 54 | February 18 | @ Portland | L 90–94 (OT) | Rudy Gay (20) | Mike Conley, Jr. (10) | Rose Garden 20,385 | 15–39
row 9 : 55 | February 20 | Sacramento | L 106–115 (OT) | O. J. Mayo (24) | Mike Conley, Jr. (7) | FedExForum 15,036 | 15–40
row 10 : 56 | February 24 | @ Cleveland | L 79–94 (OT) | Hakim Warrick , Rudy Gay (1 | Mike Conley, Jr. (7) | Quicken Loans Arena 20,562 | 15–41
row 11 : 57 | February 25 | @ Indiana | L 99–104 (OT) | Marc Gasol (22) | Mike Conley, Jr. (8) | Conseco Fieldhouse 13,211 | 15–42
row 12 : 58 | February 28 | Oklahoma City | L 92–99 (OT) | Rudy Gay (20) | Mike Conley, Jr. (4) | FedExForum 10,074 | 15–43 [/Table] Answer this question based on the above table: Which team has a Game of 49?

Answer: L.A. Clippers
[Table] header: Game | Date | Team | Score | High points | High assists | Location Attendance | Record row 1 : 47 | February 2 | @ Washington | W 113–97 (OT) | O. J. Mayo (33) | Mike Conley, Jr. (5) | Verizon Center 11,442 | 12–35
row 2 : 48 | February 4 | Houston | W 104–93 (OT) | O. J. Mayo (32) | Mike Conley, Jr. (7) | FedExForum 10,109 | 13–35
row 3 : 49 | February 6 | L.A. Clippers | L 105–126 (OT) | Rudy Gay (26) | Mike Conley, Jr. (3) | FedExForum 10,912 | 13–36
row 4 : 50 | February 7 | Toronto | W 78–70 (OT) | O. J. Mayo , Hakim | Mike Conley, Jr. (8) | FedExForum 11,498 | 14–36
row 5 : 51 | February 9 | New Orleans | W 85–80 (OT) | O. J. Mayo (22) | Mike Conley, Jr. (8) | FedExForum 10,896 | 15–36
row 6 : 52 | February 11 | @ Philadelphia | L 87–91 (OT) | Hakim Warrick (31) | O. J. Mayo (5) | Wachovia Center 12,812 | 15–37
row 7 : 53 | February 17 | @ Utah | L 99–117 (OT) | O. J. Mayo , Rudy | Mike Conley, Jr. (4) | EnergySolutions Arena 19,911 | 15–38
row 8 : 54 | February 18 | @ Portland | L 90–94 (OT) | Rudy Gay (20) | Mike Conley, Jr. (10) | Rose Garden 20,385 | 15–39
row 9 : 55 | February 20 | Sacramento | L 106–115 (OT) | O. J. Mayo (24) | Mike Conley, Jr. (7) | FedExForum 15,036 | 15–40
row 10 : 56 | February 24 | @ Cleveland | L 79–94 (OT) | Hakim Warrick , Rudy Gay (1 | Mike Conley, Jr. (7) | Quicken Loans Arena 20,562 | 15–41
row 11 : 57 | February 25 | @ Indiana | L 99–104 (OT) | Marc Gasol (22) | Mike Conley, Jr. (8) | Conseco Fieldhouse 13,211 | 15–42
row 12 : 58 | February 28 | Oklahoma City | L 92–99 (OT) | Rudy Gay (20) | Mike Conley, Jr. (4) | FedExForum 10,074 | 15–43 [/Table] Answer this question based on the above table: What are the High points for Team @ portland?

Answer: Rudy Gay (20)
[Table] header: Game | Date | Team | Score | High points | High assists | Location Attendance | Record row 1 : 47 | February 2 | @ Washington | W 113–97 (OT) | O. J. Mayo (33) | Mike Conley, Jr. (5) | Verizon Center 11,442 | 12–35
row 2 : 48 | February 4 | Houston | W 104–93 (OT) | O. J. Mayo (32) | Mike Conley, Jr. (7) | FedExForum 10,109 | 13–35
row 3 : 49 | February 6 | L.A. Clippers | L 105–126 (OT) | Rudy Gay (26) | Mike Conley, Jr. (3) | FedExForum 10,912 | 13–36
row 4 : 50 | February 7 | Toronto | W 78–70 (OT) | O. J. Mayo , Hakim | Mike Conley, Jr. (8) | FedExForum 11,498 | 14–36
row 5 : 51 | February 9 | New Orleans | W 85–80 (OT) | O. J. Mayo (22) | Mike Conley, Jr. (8) | FedExForum 10,896 | 15–36
row 6 : 52 | February 11 | @ Philadelphia | L 87–91 (OT) | Hakim Warrick (31) | O. J. Mayo (5) | Wachovia Center 12,812 | 15–37
row 7 : 53 | February 17 | @ Utah | L 99–117 (OT) | O. J. Mayo , Rudy | Mike Conley, Jr. (4) | EnergySolutions Arena 19,911 | 15–38
row 8 : 54 | February 18 | @ Portland | L 90–94 (OT) | Rudy Gay (20) | Mike Conley, Jr. (10) | Rose Garden 20,385 | 15–39
row 9 : 55 | February 20 | Sacramento | L 106–115 (OT) | O. J. Mayo (24) | Mike Conley, Jr. (7) | FedExForum 15,036 | 15–40
row 10 : 56 | February 24 | @ Cleveland | L 79–94 (OT) | Hakim Warrick , Rudy Gay (1 | Mike Conley, Jr. (7) | Quicken Loans Arena 20,562 | 15–41
row 11 : 57 | February 25 | @ Indiana | L 99–104 (OT) | Marc Gasol (22) | Mike Conley, Jr. (8) | Conseco Fieldhouse 13,211 | 15–42
row 12 : 58 | February 28 | Oklahoma City | L 92–99 (OT) | Rudy Gay (20) | Mike Conley, Jr. (4) | FedExForum 10,074 | 15–43 [/Table] Answer this question based on the above table: What are the High assists for Team houston?

Answer: Mike Conley, Jr. (7)
[Table] header: Game | Date | Team | Score | High points | High assists | Location Attendance | Record row 1 : 47 | February 2 | @ Washington | W 113–97 (OT) | O. J. Mayo (33) | Mike Conley, Jr. (5) | Verizon Center 11,442 | 12–35
row 2 : 48 | February 4 | Houston | W 104–93 (OT) | O. J. Mayo (32) | Mike Conley, Jr. (7) | FedExForum 10,109 | 13–35
row 3 : 49 | February 6 | L.A. Clippers | L 105–126 (OT) | Rudy Gay (26) | Mike Conley, Jr. (3) | FedExForum 10,912 | 13–36
row 4 : 50 | February 7 | Toronto | W 78–70 (OT) | O. J. Mayo , Hakim | Mike Conley, Jr. (8) | FedExForum 11,498 | 14–36
row 5 : 51 | February 9 | New Orleans | W 85–80 (OT) | O. J. Mayo (22) | Mike Conley, Jr. (8) | FedExForum 10,896 | 15–36
row 6 : 52 | February 11 | @ Philadelphia | L 87–91 (OT) | Hakim Warrick (31) | O. J. Mayo (5) | Wachovia Center 12,812 | 15–37
row 7 : 53 | February 17 | @ Utah | L 99–117 (OT) | O. J. Mayo , Rudy | Mike Conley, Jr. (4) | EnergySolutions Arena 19,911 | 15–38
row 8 : 54 | February 18 | @ Portland | L 90–94 (OT) | Rudy Gay (20) | Mike Conley, Jr. (10) | Rose Garden 20,385 | 15–39
row 9 : 55 | February 20 | Sacramento | L 106–115 (OT) | O. J. Mayo (24) | Mike Conley, Jr. (7) | FedExForum 15,036 | 15–40
row 10 : 56 | February 24 | @ Cleveland | L 79–94 (OT) | Hakim Warrick , Rudy Gay (1 | Mike Conley, Jr. (7) | Quicken Loans Arena 20,562 | 15–41
row 11 : 57 | February 25 | @ Indiana | L 99–104 (OT) | Marc Gasol (22) | Mike Conley, Jr. (8) | Conseco Fieldhouse 13,211 | 15–42
row 12 : 58 | February 28 | Oklahoma City | L 92–99 (OT) | Rudy Gay (20) | Mike Conley, Jr. (4) | FedExForum 10,074 | 15–43 [/Table] Answer this question based on the above table: What are the High assists for February 2?

Answer: Mike Conley, Jr. (5)
[Table] header: Game | Date | Opponent | Result | Bills points | Opponents | Bills first downs | Record | 'Attendance row 1 : 1 | Sept. 16 | Oakland Raiders | Win | 21 | 20 | 22 | 1–0 | 80,020
row 2 : 2 | Sept. 22 | Miami Dolphins | Loss | 16 | 24 | 16 | 1–1 | 80,020
row 3 : 3 | Sept. 29 | New York Jets | Win | 16 | 12 | 17 | 2–1 | 76,978
row 4 : 4 | Oct. 6 | at Green Bay Packers | Win | 27 | 7 | 22 | 3–1 | 56,267
row 5 : 5 | Oct. 13 | at Baltimore Colts | Win | 27 | 14 | 15 | 4–1 | 40,626
row 6 : 6 | Oct. 20 | New England Patriots | Win | 30 | 28 | 19 | 5–1 | 78,935
row 7 : 7 | Oct. 27 | Chicago Bears | Win | 16 | 6 | 16 | 6–1 | 78,084
row 8 : 8 | Nov. 3 | at New England Patriots | Win | 29 | 28 | 22 | 7–1 | 61,279
row 9 : 9 | Nov. 10 | Houston Oilers | Loss | 9 | 21 | 16 | 7–2 | 79,144
row 10 : 10 | Nov. 17 | at Miami Dolphins | Loss | 28 | 35 | 16 | 7–3 | 69,313
row 11 : 11 | Nov. 24 | at Cleveland Browns | Win | 15 | 10 | 10 | 8–3 | 66,504
row 12 : 12 | Dec. 1 | Baltimore Colts | Win | 6 | 0 | 9 | 9–3 | 75,325
row 13 : 13 | Dec. 8 | at New York Jets | Loss | 10 | 20 | 12 | 9–4 | 61,091
row 14 : 14 | Dec. 15 | at Los Angeles Rams | Loss | 14 | 19 | 8 | 9–5 | 84,324 [/Table] Answer this question based on the above table: What game did the Buffalo Bills' opponents earn more than 28 points?

Answer: 10.0
[Table] header: Name | Pinnacle height planned | Year completion expected | Structure type | Country | Town row 1 : Kingdom Tower | metres (ft) | 2019 | Skyscraper | Saudi Arabia | Jeddah
row 2 : Pingan International Finance Centre | metres (ft) | 2015 | Skyscraper | China | Shenzhen
row 3 : Wuhan Greenland Center | metres (ft) | 2014 | Skyscraper | China | Wuhan
row 4 : Shanghai Tower | metres (ft) | 2014 | Skyscraper | China | Shanghai
row 5 : Goldin Finance 117 | metres (ft) | 2015 | Skyscraper | China | Tianjin
row 6 : Lotte World Tower | metres (ft) | 2015 | Skyscraper | South Korea | Seoul
row 7 : 1 World Trade Center | metres (ft) | 2013 | Skyscraper | United States | New York City
row 8 : Chow Tai Fook Centre | metres (ft) | 2015 | Skyscraper | China | Guangzhou
row 9 : China Zun | metres (ft) | 2016 | Skyscraper | China | Beijing
row 10 : Pentominium | metres (ft) | 2014 | Skyscraper | United Arab Emirates | Dubai
row 11 : Busan Lotte World Tower | metres (ft) | 2016 | Skyscraper | South Korea | Busan
row 12 : Federation Tower | metres (ft) | 2013 | Skyscraper | Russia | Moscow
row 13 : Tianjin R&F Guangd | metres (ft) | 2015 | Skyscraper | China | Tianjin [/Table] Answer this question based on the above table: What was the year that China will have a building completed?

Answer: 2015, 2014, 2014, 2015, 2015, 2016, 2015
[Table] header: Name | Pinnacle height planned | Year completion expected | Structure type | Country | Town row 1 : Kingdom Tower | metres (ft) | 2019 | Skyscraper | Saudi Arabia | Jeddah
row 2 : Pingan International Finance Centre | metres (ft) | 2015 | Skyscraper | China | Shenzhen
row 3 : Wuhan Greenland Center | metres (ft) | 2014 | Skyscraper | China | Wuhan
row 4 : Shanghai Tower | metres (ft) | 2014 | Skyscraper | China | Shanghai
row 5 : Goldin Finance 117 | metres (ft) | 2015 | Skyscraper | China | Tianjin
row 6 : Lotte World Tower | metres (ft) | 2015 | Skyscraper | South Korea | Seoul
row 7 : 1 World Trade Center | metres (ft) | 2013 | Skyscraper | United States | New York City
row 8 : Chow Tai Fook Centre | metres (ft) | 2015 | Skyscraper | China | Guangzhou
row 9 : China Zun | metres (ft) | 2016 | Skyscraper | China | Beijing
row 10 : Pentominium | metres (ft) | 2014 | Skyscraper | United Arab Emirates | Dubai
row 11 : Busan Lotte World Tower | metres (ft) | 2016 | Skyscraper | South Korea | Busan
row 12 : Federation Tower | metres (ft) | 2013 | Skyscraper | Russia | Moscow
row 13 : Tianjin R&F Guangd | metres (ft) | 2015 | Skyscraper | China | Tianjin [/Table] Answer this question based on the above table: What is the name of the buildings for China?

Answer: Pingan International Finance Centre, Wuhan Greenland Center, Shanghai Tower, Goldin Finance 117, Chow Tai Fook Centre, China Zun, Tianjin R&F Guangd
[Table] header: Name | Pinnacle height planned | Year completion expected | Structure type | Country | Town row 1 : Kingdom Tower | metres (ft) | 2019 | Skyscraper | Saudi Arabia | Jeddah
row 2 : Pingan International Finance Centre | metres (ft) | 2015 | Skyscraper | China | Shenzhen
row 3 : Wuhan Greenland Center | metres (ft) | 2014 | Skyscraper | China | Wuhan
row 4 : Shanghai Tower | metres (ft) | 2014 | Skyscraper | China | Shanghai
row 5 : Goldin Finance 117 | metres (ft) | 2015 | Skyscraper | China | Tianjin
row 6 : Lotte World Tower | metres (ft) | 2015 | Skyscraper | South Korea | Seoul
row 7 : 1 World Trade Center | metres (ft) | 2013 | Skyscraper | United States | New York City
row 8 : Chow Tai Fook Centre | metres (ft) | 2015 | Skyscraper | China | Guangzhou
row 9 : China Zun | metres (ft) | 2016 | Skyscraper | China | Beijing
row 10 : Pentominium | metres (ft) | 2014 | Skyscraper | United Arab Emirates | Dubai
row 11 : Busan Lotte World Tower | metres (ft) | 2016 | Skyscraper | South Korea | Busan
row 12 : Federation Tower | metres (ft) | 2013 | Skyscraper | Russia | Moscow
row 13 : Tianjin R&F Guangd | metres (ft) | 2015 | Skyscraper | China | Tianjin [/Table] Answer this question based on the above table: What are the names for projects that will be completed after 2016?

Answer: Kingdom Tower
[Table] header: Name | Pinnacle height planned | Year completion expected | Structure type | Country | Town row 1 : Kingdom Tower | metres (ft) | 2019 | Skyscraper | Saudi Arabia | Jeddah
row 2 : Pingan International Finance Centre | metres (ft) | 2015 | Skyscraper | China | Shenzhen
row 3 : Wuhan Greenland Center | metres (ft) | 2014 | Skyscraper | China | Wuhan
row 4 : Shanghai Tower | metres (ft) | 2014 | Skyscraper | China | Shanghai
row 5 : Goldin Finance 117 | metres (ft) | 2015 | Skyscraper | China | Tianjin
row 6 : Lotte World Tower | metres (ft) | 2015 | Skyscraper | South Korea | Seoul
row 7 : 1 World Trade Center | metres (ft) | 2013 | Skyscraper | United States | New York City
row 8 : Chow Tai Fook Centre | metres (ft) | 2015 | Skyscraper | China | Guangzhou
row 9 : China Zun | metres (ft) | 2016 | Skyscraper | China | Beijing
row 10 : Pentominium | metres (ft) | 2014 | Skyscraper | United Arab Emirates | Dubai
row 11 : Busan Lotte World Tower | metres (ft) | 2016 | Skyscraper | South Korea | Busan
row 12 : Federation Tower | metres (ft) | 2013 | Skyscraper | Russia | Moscow
row 13 : Tianjin R&F Guangd | metres (ft) | 2015 | Skyscraper | China | Tianjin [/Table] Answer this question based on the above table: How high is the Goldin Finance 117 building currently being build in China?

Answer: metres (ft)