sail/symbolic-instruction-tuning huggingface dataset:
[Table] header: Round | Date | Opponent | Venue | Result | Attendance row 1 : 1 st | 15 December 2007 | Hayes & Yeading United | Away | Won 5-0 | 435
row 2 : 2 nd | 12 January 2008 | Woking | Away | Won 4-2 | 2,570
row 3 : 3 rd | 2 February 2008 | Braintree Town | Home | Won 3-0 | 1,772
row 4 : QF | 23 February 2008 | Tamworth | Away | Won 2-1 | 1,204
row 5 : SF 1st Leg | 8 March 2008 | Ebbsfleet United | Away | Lost 1-3 | 2,483
row 6 : SF 2nd Leg | 15 March 2008 | Ebbsfleet United | Home | Drew 1-1 (Lost 2-4 on Ag | 4,344
row 7 : Ebbsfleet United won | Ebbsfleet United won | Ebbsfleet United won | Ebbsfleet United won | Ebbsfleet United won | Ebbsfleet United won [/Table] Answer this question based on the above table: What was the date of the game with a result of won 4-2?

Answer: 12 January 2008
[Table] header: Round | Date | Opponent | Venue | Result | Attendance row 1 : 1 st | 15 December 2007 | Hayes & Yeading United | Away | Won 5-0 | 435
row 2 : 2 nd | 12 January 2008 | Woking | Away | Won 4-2 | 2,570
row 3 : 3 rd | 2 February 2008 | Braintree Town | Home | Won 3-0 | 1,772
row 4 : QF | 23 February 2008 | Tamworth | Away | Won 2-1 | 1,204
row 5 : SF 1st Leg | 8 March 2008 | Ebbsfleet United | Away | Lost 1-3 | 2,483
row 6 : SF 2nd Leg | 15 March 2008 | Ebbsfleet United | Home | Drew 1-1 (Lost 2-4 on Ag | 4,344
row 7 : Ebbsfleet United won | Ebbsfleet United won | Ebbsfleet United won | Ebbsfleet United won | Ebbsfleet United won | Ebbsfleet United won [/Table] Answer this question based on the above table: What was the date of the game against Hayes & Yeading United?

Answer: 15 December 2007
[Table] header: Player | Result | Appeared | RR W–L | RR W Rate row 1 : Victoria Azarenka | F:11 SF:12 RR: | 5 | 07–08 | 0.47
row 2 : Marion Bartoli | RR:07,11(A) | 2 | 02–01 | 0.67
row 3 : Jennifer Capriati | SF:03 | 1 | 02–01 | 0.67
row 4 : Anna Chakvetadze | SF:07 | 1 | 02-01 | 0.67
row 5 : Kim Clijsters | W:03,10 SF:06  | 4 | 08–04 | 0.67
row 6 : Lindsay Davenport | SF:05 RR:04 | 2 | 04-02 | 0.67
row 7 : Elena Dementieva | SF:08 RR:03-06 | 7 | 05–16 | 0.24
row 8 : Sara Errani | RR:12,13 | 2 | 02-04 | 0.33
row 9 : Daniela Hantuchová | RR:07 | 1 | 01–02 | 0.33
row 10 : Justine Henin | W:06,07 SF:03 | 3 | 07-02 | 0.78
row 11 : Martina Hingis | RR:06 | 1 | 01–02 | 0.33
row 12 : Ana Ivanovic | SF:07 RR:08 | 2 | 02-03 | 0.4
row 13 : Jelena Janković | SF:08,09,13 RR | 5 | 05-10 | 0.33
row 14 : Angelique Kerber | RR:12,13 | 2 | 01-05 | 0.17
row 15 : Svetlana Kuznetsova | RR:04,06-09 | 5 | 03–12 | 0.2
row 16 : Petra Kvitová | W:11 SF: 13 RR: | 3 | 05-02 | 0.71
row 17 : Li Na | F:13 RR:11,12 | 3 | 05-04 | 0.56
row 18 : Amélie Mauresmo | W:05 F:03,06 SF | 4 | 09-03 | 0.75
row 19 : Anastasia Myskina | SF:04 RR:03 | 2 | 03–03 | 0.5
row 20 : Nadia Petrova | RR:05,06,08(A | 3 | 02-05 | 0.29
row 21 : Mary Pierce | F:05 | 1 | 03–00 | 1
row 22 : Agnieszka Radwańska | SF:12 RR:08(A | 5 | 05-06 | 0.45
row 23 : Chanda Rubin | RR:03 | 1 | 01–02 | 0.33
row 24 : Dinara Safina | RR:08,09 | 2 | 00–04 | 0
row 25 : Francesca Schiavone | RR:10 | 1 | 01–02 | 0.33
row 26 : Patty Schnyder | RR:05 | 1 | 01-02 | 0.33
row 27 : Maria Sharapova | W:04 F:07,12 SF | 6 | 13-04 | 0.76
row 28 : Samantha Stosur | SF:10,11 RR:12 | 3 | 04-04 | 0.5
row 29 : Ai Sugiyama | RR:03 | 1 | 01-02 | 0.33
row 30 : Serena Williams | W:09,12,13 F:04 | 6 | 12-03 | 0.80
row 31 : Venus Williams | W:08 F:09 | 2 | 04-02 | 0.67
row 32 : Caroline Wozniacki | F:10 SF:09 RR: | 3 | 05-04 | 0.56
row 33 : Vera Zvonareva | F:08 SF:10,11  | 5 | 07-06 | 0.54 [/Table] Answer this question based on the above table: If the RR Rate is less than 0.75 with a result of RR:08,09, what is the average appeared?

Answer: 2.0
[Table] header: Player | Result | Appeared | RR W–L | RR W Rate row 1 : Victoria Azarenka | F:11 SF:12 RR: | 5 | 07–08 | 0.47
row 2 : Marion Bartoli | RR:07,11(A) | 2 | 02–01 | 0.67
row 3 : Jennifer Capriati | SF:03 | 1 | 02–01 | 0.67
row 4 : Anna Chakvetadze | SF:07 | 1 | 02-01 | 0.67
row 5 : Kim Clijsters | W:03,10 SF:06  | 4 | 08–04 | 0.67
row 6 : Lindsay Davenport | SF:05 RR:04 | 2 | 04-02 | 0.67
row 7 : Elena Dementieva | SF:08 RR:03-06 | 7 | 05–16 | 0.24
row 8 : Sara Errani | RR:12,13 | 2 | 02-04 | 0.33
row 9 : Daniela Hantuchová | RR:07 | 1 | 01–02 | 0.33
row 10 : Justine Henin | W:06,07 SF:03 | 3 | 07-02 | 0.78
row 11 : Martina Hingis | RR:06 | 1 | 01–02 | 0.33
row 12 : Ana Ivanovic | SF:07 RR:08 | 2 | 02-03 | 0.4
row 13 : Jelena Janković | SF:08,09,13 RR | 5 | 05-10 | 0.33
row 14 : Angelique Kerber | RR:12,13 | 2 | 01-05 | 0.17
row 15 : Svetlana Kuznetsova | RR:04,06-09 | 5 | 03–12 | 0.2
row 16 : Petra Kvitová | W:11 SF: 13 RR: | 3 | 05-02 | 0.71
row 17 : Li Na | F:13 RR:11,12 | 3 | 05-04 | 0.56
row 18 : Amélie Mauresmo | W:05 F:03,06 SF | 4 | 09-03 | 0.75
row 19 : Anastasia Myskina | SF:04 RR:03 | 2 | 03–03 | 0.5
row 20 : Nadia Petrova | RR:05,06,08(A | 3 | 02-05 | 0.29
row 21 : Mary Pierce | F:05 | 1 | 03–00 | 1
row 22 : Agnieszka Radwańska | SF:12 RR:08(A | 5 | 05-06 | 0.45
row 23 : Chanda Rubin | RR:03 | 1 | 01–02 | 0.33
row 24 : Dinara Safina | RR:08,09 | 2 | 00–04 | 0
row 25 : Francesca Schiavone | RR:10 | 1 | 01–02 | 0.33
row 26 : Patty Schnyder | RR:05 | 1 | 01-02 | 0.33
row 27 : Maria Sharapova | W:04 F:07,12 SF | 6 | 13-04 | 0.76
row 28 : Samantha Stosur | SF:10,11 RR:12 | 3 | 04-04 | 0.5
row 29 : Ai Sugiyama | RR:03 | 1 | 01-02 | 0.33
row 30 : Serena Williams | W:09,12,13 F:04 | 6 | 12-03 | 0.80
row 31 : Venus Williams | W:08 F:09 | 2 | 04-02 | 0.67
row 32 : Caroline Wozniacki | F:10 SF:09 RR: | 3 | 05-04 | 0.56
row 33 : Vera Zvonareva | F:08 SF:10,11  | 5 | 07-06 | 0.54 [/Table] Answer this question based on the above table: What's the total appeared that has an RR Rate less than 0.17?

Answer: 2.0
[Table] header: Player | Result | Appeared | RR W–L | RR W Rate row 1 : Victoria Azarenka | F:11 SF:12 RR: | 5 | 07–08 | 0.47
row 2 : Marion Bartoli | RR:07,11(A) | 2 | 02–01 | 0.67
row 3 : Jennifer Capriati | SF:03 | 1 | 02–01 | 0.67
row 4 : Anna Chakvetadze | SF:07 | 1 | 02-01 | 0.67
row 5 : Kim Clijsters | W:03,10 SF:06  | 4 | 08–04 | 0.67
row 6 : Lindsay Davenport | SF:05 RR:04 | 2 | 04-02 | 0.67
row 7 : Elena Dementieva | SF:08 RR:03-06 | 7 | 05–16 | 0.24
row 8 : Sara Errani | RR:12,13 | 2 | 02-04 | 0.33
row 9 : Daniela Hantuchová | RR:07 | 1 | 01–02 | 0.33
row 10 : Justine Henin | W:06,07 SF:03 | 3 | 07-02 | 0.78
row 11 : Martina Hingis | RR:06 | 1 | 01–02 | 0.33
row 12 : Ana Ivanovic | SF:07 RR:08 | 2 | 02-03 | 0.4
row 13 : Jelena Janković | SF:08,09,13 RR | 5 | 05-10 | 0.33
row 14 : Angelique Kerber | RR:12,13 | 2 | 01-05 | 0.17
row 15 : Svetlana Kuznetsova | RR:04,06-09 | 5 | 03–12 | 0.2
row 16 : Petra Kvitová | W:11 SF: 13 RR: | 3 | 05-02 | 0.71
row 17 : Li Na | F:13 RR:11,12 | 3 | 05-04 | 0.56
row 18 : Amélie Mauresmo | W:05 F:03,06 SF | 4 | 09-03 | 0.75
row 19 : Anastasia Myskina | SF:04 RR:03 | 2 | 03–03 | 0.5
row 20 : Nadia Petrova | RR:05,06,08(A | 3 | 02-05 | 0.29
row 21 : Mary Pierce | F:05 | 1 | 03–00 | 1
row 22 : Agnieszka Radwańska | SF:12 RR:08(A | 5 | 05-06 | 0.45
row 23 : Chanda Rubin | RR:03 | 1 | 01–02 | 0.33
row 24 : Dinara Safina | RR:08,09 | 2 | 00–04 | 0
row 25 : Francesca Schiavone | RR:10 | 1 | 01–02 | 0.33
row 26 : Patty Schnyder | RR:05 | 1 | 01-02 | 0.33
row 27 : Maria Sharapova | W:04 F:07,12 SF | 6 | 13-04 | 0.76
row 28 : Samantha Stosur | SF:10,11 RR:12 | 3 | 04-04 | 0.5
row 29 : Ai Sugiyama | RR:03 | 1 | 01-02 | 0.33
row 30 : Serena Williams | W:09,12,13 F:04 | 6 | 12-03 | 0.80
row 31 : Venus Williams | W:08 F:09 | 2 | 04-02 | 0.67
row 32 : Caroline Wozniacki | F:10 SF:09 RR: | 3 | 05-04 | 0.56
row 33 : Vera Zvonareva | F:08 SF:10,11  | 5 | 07-06 | 0.54 [/Table] Answer this question based on the above table: For Angelique Kerber who had an RR Rate of less than 0.33, what's the appeared?

Answer: 2.0
[Table] header: County | Area (acres) | Area (km²) | Population | Population Density (per km 2 ) row 1 : Inverness-shire | 2,695,094 | 10,915.13 | 89,655 | 8.21
row 2 : Argyllshire | 2,067,034 | 8,364.98 | 59,777 | 7.15
row 3 : Ross and Cromarty | 1,977,254 | 8,007.88 | 58,284 | 7.28
row 4 : Perthshire | 1,586,577 | 6,425.63 | 127,104 | 19.78
row 5 : Sutherland | 1,297,914 | 5,276.07 | 13,055 | 2.47
row 6 : Aberdeenshire | 1,246,585 | 5,172.55 | 150,703 | 29.14
row 7 : Ayrshire | 724,239 | 2,930.95 | 361,248 | 123.25
row 8 : Dumfriesshire | 688,067 | 2,784.56 | 88,215 | 31.68
row 9 : Kirkcudbrightshire | 574,024 | 2,324.79 | 27,369 | 11.77
row 10 : Angus | 540,352 | 2,186.77 | 97,312 | 44.50
row 11 : Lanarkshire | 535,605 | 2,169.20 | 626,787 | 288.95
row 12 : Caithness | 438,833 | 1,775.93 | 27,792 | 15.65
row 13 : Roxburghshire | 425,564 | 1,725.24 | 41,960 | 24.32
row 14 : Banffshire | 403,054 | 1,631.14 | 43,500 | 26.67
row 15 : Zetland | c.3,523.37 | 1,425.85 | 17,331 | 12.15
row 16 : Fife | 322,878 | 1,306.67 | 327,126 | 250.35
row 17 : Wigtownshire | 311,984 | 1,262.58 | 27,337 | 21.65
row 18 : Moray | 304,931 | 1,234.97 | 51,502 | 41.70
row 19 : Berwickshire | 292,535 | 1,183.84 | 20,778 | 17.55
row 20 : Stirlingshire | 288,349 | 1,166.90 | 208,958 | 179.07
row 21 : Kincardineshire | 244,428 | 989.93 | 26,066 | 26.33
row 22 : Orkney | c.240,848 | 934.67 | 17,082 | 18.28
row 23 : Peeblesshire | 222,240 | 900.07 | 13,675 | 15.19
row 24 : Midlothian | 203,354 | 823.58 | 142,213 | 172.68
row 25 : Selkirkshire | 171,209 | 692.85 | 20,868 | 30.12
row 26 : East Lothian | 171,044 | 692.73 | 55,908 | 80.71
row 27 : Dunbartonshire | 154,467 | 625.11 | 237,540 | 380.00
row 28 : Renfrewshire | 143,829 | 578.00 | 362,130 | 626.52
row 29 : Bute | 139,711 | 565.39 | 13,309 | 23.54
row 30 : Nairnshire | 104,251 | 422.21 | 11,050 | 26.17
row 31 : West Lothian | 76,859 | 311.03 | 108,484 | 348.79
row 32 : Kinross-shire | 52,025 | 210.70 | 6,423 | 30.48
row 33 : Clackmannanshire | 34,838 | 140.99 | 45,544 | 323.03 [/Table] Answer this question based on the above table: What is the lowest population of the county with an area (km²) of 565.39 and a population density less than 23.54?

Answer: none
[Table] header: County | Area (acres) | Area (km²) | Population | Population Density (per km 2 ) row 1 : Inverness-shire | 2,695,094 | 10,915.13 | 89,655 | 8.21
row 2 : Argyllshire | 2,067,034 | 8,364.98 | 59,777 | 7.15
row 3 : Ross and Cromarty | 1,977,254 | 8,007.88 | 58,284 | 7.28
row 4 : Perthshire | 1,586,577 | 6,425.63 | 127,104 | 19.78
row 5 : Sutherland | 1,297,914 | 5,276.07 | 13,055 | 2.47
row 6 : Aberdeenshire | 1,246,585 | 5,172.55 | 150,703 | 29.14
row 7 : Ayrshire | 724,239 | 2,930.95 | 361,248 | 123.25
row 8 : Dumfriesshire | 688,067 | 2,784.56 | 88,215 | 31.68
row 9 : Kirkcudbrightshire | 574,024 | 2,324.79 | 27,369 | 11.77
row 10 : Angus | 540,352 | 2,186.77 | 97,312 | 44.50
row 11 : Lanarkshire | 535,605 | 2,169.20 | 626,787 | 288.95
row 12 : Caithness | 438,833 | 1,775.93 | 27,792 | 15.65
row 13 : Roxburghshire | 425,564 | 1,725.24 | 41,960 | 24.32
row 14 : Banffshire | 403,054 | 1,631.14 | 43,500 | 26.67
row 15 : Zetland | c.3,523.37 | 1,425.85 | 17,331 | 12.15
row 16 : Fife | 322,878 | 1,306.67 | 327,126 | 250.35
row 17 : Wigtownshire | 311,984 | 1,262.58 | 27,337 | 21.65
row 18 : Moray | 304,931 | 1,234.97 | 51,502 | 41.70
row 19 : Berwickshire | 292,535 | 1,183.84 | 20,778 | 17.55
row 20 : Stirlingshire | 288,349 | 1,166.90 | 208,958 | 179.07
row 21 : Kincardineshire | 244,428 | 989.93 | 26,066 | 26.33
row 22 : Orkney | c.240,848 | 934.67 | 17,082 | 18.28
row 23 : Peeblesshire | 222,240 | 900.07 | 13,675 | 15.19
row 24 : Midlothian | 203,354 | 823.58 | 142,213 | 172.68
row 25 : Selkirkshire | 171,209 | 692.85 | 20,868 | 30.12
row 26 : East Lothian | 171,044 | 692.73 | 55,908 | 80.71
row 27 : Dunbartonshire | 154,467 | 625.11 | 237,540 | 380.00
row 28 : Renfrewshire | 143,829 | 578.00 | 362,130 | 626.52
row 29 : Bute | 139,711 | 565.39 | 13,309 | 23.54
row 30 : Nairnshire | 104,251 | 422.21 | 11,050 | 26.17
row 31 : West Lothian | 76,859 | 311.03 | 108,484 | 348.79
row 32 : Kinross-shire | 52,025 | 210.70 | 6,423 | 30.48
row 33 : Clackmannanshire | 34,838 | 140.99 | 45,544 | 323.03 [/Table] Answer this question based on the above table: What is the area (km²) of Nairnshire county, which has a population less than 11,050?

Answer: none
[Table] header: Date | Opponent | Score | Loss | Attendance | Record row 1 : August 1 | @ Rangers | 9–8 | Ryan (2–4) | 23,973 | 54–55
row 2 : August 2 | @ Rangers | 6–4 | Feldman (4–4) | 32,641 | 55–55
row 3 : August 3 | @ Rangers | 8–4 | Purcey (1–2) | 17,488 | 55–56
row 4 : August 4 | Athletics | 6–1 | Gallagher (4–5) | 24,761 | 56–56
row 5 : August 5 | Athletics | 4–3 | Street (2–5) | 23,580 | 57–56
row 6 : August 6 | Athletics | 5–1 | Gonzalez (0–1) | 29,256 | 58–56
row 7 : August 7 | Athletics | 6–4 | Blevins (1–2) | 28,821 | 59–56
row 8 : August 8 | Indians | 5–2 | Purcey (1–3) | 31,627 | 59–57
row 9 : August 9 | Indians | 4–2 | Halladay (13–9) | 39,623 | 59–58
row 10 : August 10 | Indians | 4–0 | Richmond (0–2) | 36,447 | 59–59
row 11 : August 11 | @ Tigers | 7–2 | Verlander (8–13) | 39,718 | 60–59
row 12 : August 12 | @ Tigers | 6–4 | Zumaya (0–2) | 39,790 | 61–59
row 13 : August 13 | @ Tigers | 4–3 | Rogers (8–10) | 39,073 | 62–59
row 14 : August 14 | @ Tigers | 5–1 | Frasor (1–2) | 41,259 | 62–60
row 15 : August 15 | @ Red Sox | Postponed (rain) Reschedu | Postponed (rain) Reschedu | Postponed (rain) Reschedu | Postponed (rain) Reschedu
row 16 : August 16 | @ Red Sox | 4–1 | Byrd (7–11) | 37,834 | 63–60
row 17 : August 17 | @ Red Sox | 15–4 | Beckett (11–9) | 37,415 | 64–60
row 18 : August 19 | Yankees | 2–1 | Veras (3–2) | 37,221 | 65–60
row 19 : August 20 | Yankees | 5–1 | Purcey (2–4) | 34,910 | 65–61
row 20 : August 21 | Yankees | 14–3 | Ponson (7–4) | 37,037 | 66–61
row 21 : August 22 | Red Sox | 8–4 | Marcum (8–6) | 40,181 | 66–62
row 22 : August 23 | Red Sox | 11–0 | Lester (12–9) | 44,896 | 67–62
row 23 : August 24 | Red Sox | 6–5 | League (0–2) | 44,521 | 67–63
row 24 : August 26 | @ Rays | 6–2 | Shields (11–7) | 13,478 | 68–63
row 25 : August 27 | @ Rays | 1–0 | Purcey (2–5) | 12,678 | 68–64
row 26 : August 28 | @ Rays | 3–2 | Listch (9–8) | 14,039 | 68–65
row 27 : August 29 | @ Yankees | 2–1 | Burnett (16–10) | 53,088 | 68–66
row 28 : August 30 | @ Yankees | 7–6 | Marte (4–3) | 53,273 | 69–66
row 29 : August 31 | @ Yankees | 6–2 | Pettitte (13–11) | 53,634 | 70–66 [/Table] Answer this question based on the above table: What was the Attendance of August 26?

Answer: 13478.0
[Table] header: Order | Minister | Party | Prime Minister | Term start | Term end | Term in office row 1 : 1 | Don Grimes | Labor | Hawke | 13December1984 | 16February1987 | 2years, 65days
row 2 : 2 | Chris Hurford | Labor | Hawke | 16February1987 | 24July1987 | 158 days
row 3 : 3 | Neal Blewett | Labor | Hawke | 24July1987 | 4April1990 | 2years, 254days
row 4 : 4 | Brian Howe | Labor | Hawke | 4April1990 | 7June1991 | 3years, 355days
row 5 : 4 | Brian Howe | Labor | Hawke | 7June1991 | 20December1991 | 3years, 355days
row 6 : 4 | Brian Howe | Labor | Keating | 20December1991 | 24March1993 | 3years, 355days
row 7 : 4 | Brian Howe | Labor | Keating | 24March1993 | 23December1993 | 3years, 355days
row 8 : 4 | Brian Howe | Labor | Keating | 23December1993 | 25March1994 | 3years, 355days
row 9 : 5 | Carmen Lawrence | Labor | Keating | 25March1994 | 11March1996 | 1year, 352days
row 10 : 6 | Michael Wooldridge | Liberal | Howard | 11March1996 | 21October1998 | 2years, 224days
row 11 : 7 | Jocelyn Newman | Liberal | Howard | 21October1998 | 30January2001 | 2years, 101days
row 12 : 8 | Amanda Vanstone | Liberal | Howard | 30January2001 | 7October2003 | 2years, 250days
row 13 : 9 | Kay Patterson | Liberal | Howard | 7October2003 | 27January2006 | 2years, 112days
row 14 : 10 | Mal Brough | Liberal | Howard | 27January2006 | 3December2007 | 1year, 310days
row 15 : 11 | Jenny Macklin | Labor | Rudd | 3December2007 | 24June2010 | 5years, 289days
row 16 : 11 | Jenny Macklin | Labor | Gillard | 24June2010 | 14December2011 | 5years, 289days
row 17 : 11 | Jenny Macklin | Labor | Gillard | 14December2011 | 27June2013 | 5years, 289days
row 18 : 11 | Jenny Macklin | Labor | Rudd | 27June2013 | 18September2013 | 5years, 289days
row 19 : 12 | Kevin Andrews | Liberal | Abbott | 18September2013 | incumbent | 136 days [/Table] Answer this question based on the above table: What is the end of the term associted with the Prime Minister Abbott?

Answer: incumbent
[Table] header: Season | Tropical Lows | Tropical Cyclones | Severe Tropical Cyclones | Strongest storm row 1 : 2000–01 | 9 | 8 | 3 | Sam
row 2 : 2001–02 | 14 | 10 | 4 | Chris
row 3 : 2002–03 | 10 | 9 | 3 | Inigo
row 4 : 2003–04 | 13 | 10 | 5 | Fay
row 5 : 2004–05 | 13 | 10 | 4 | Ingrid
row 6 : 2005–06 | 17 | 14 | 9 | Monica
row 7 : 2006–07 | 8 | 6 | 3 | George
row 8 : 2007–08 | 23 | 9 | 3 | Pancho
row 9 : 2008–09 | 23 | 11 | 3 | Hamish
row 10 : 2009–10 | 13 | 8 | 4 | Laurence [/Table] Answer this question based on the above table: What is the highest number of severe tropical cyclones when there are 10 tropical cyclones and 14 tropical lows?

Answer: 4.0
[Table] header: Player | Sacks | INT'S | Yards | Average | Long row 1 : John Anderson | 3.5 | 3 | 24 | 8.0 | 22
row 2 : Robert Brown | 5.0 | 1 | 5 | 5.0 | 5t
row 3 : Alphonso Carreker | 3.0 | 0 | 0 | 0.0 | 0
row 4 : George Cumby | 2.5 | 1 | 7 | 7.0 | 7
row 5 : Mike Douglass | 9.0 | 0 | 0 | 0.0 | 0
row 6 : Tom Flynn | 0.0 | 9 | 106 | 11.8 | 31
row 7 : Estus Hood | 0.0 | 1 | 8 | 8.0 | 8
row 8 : Donnie Humphrey | 1.0 | 0 | 0 | 0.0 | 0
row 9 : Ezra Johnson | 7.0 | 0 | 0 | 0.0 | 0
row 10 : Terry Jones | 4.0 | 0 | 0 | 0.0 | 0
row 11 : Mark Lee | 0.0 | 3 | 33 | 11.0 | 14
row 12 : Tim Lewis | 0.0 | 7 | 151 | 21.6 | 99t
row 13 : Charles Martin | 3.0 | 0 | 0 | 0.0 | 0
row 14 : Mark Murphy | 2.0 | 1 | 4 | 4.0 | 8
row 15 : Randy Scott | 3.0 | 0 | 0 | 0.0 | 0
row 16 : TOTALS | 44.0 | 0.0 | 27 | 338 | 99t [/Table] Answer this question based on the above table: What is the highest yards when there are 0 INTs?

Answer: none
[Table] header: Player | Sacks | INT'S | Yards | Average | Long row 1 : John Anderson | 3.5 | 3 | 24 | 8.0 | 22
row 2 : Robert Brown | 5.0 | 1 | 5 | 5.0 | 5t
row 3 : Alphonso Carreker | 3.0 | 0 | 0 | 0.0 | 0
row 4 : George Cumby | 2.5 | 1 | 7 | 7.0 | 7
row 5 : Mike Douglass | 9.0 | 0 | 0 | 0.0 | 0
row 6 : Tom Flynn | 0.0 | 9 | 106 | 11.8 | 31
row 7 : Estus Hood | 0.0 | 1 | 8 | 8.0 | 8
row 8 : Donnie Humphrey | 1.0 | 0 | 0 | 0.0 | 0
row 9 : Ezra Johnson | 7.0 | 0 | 0 | 0.0 | 0
row 10 : Terry Jones | 4.0 | 0 | 0 | 0.0 | 0
row 11 : Mark Lee | 0.0 | 3 | 33 | 11.0 | 14
row 12 : Tim Lewis | 0.0 | 7 | 151 | 21.6 | 99t
row 13 : Charles Martin | 3.0 | 0 | 0 | 0.0 | 0
row 14 : Mark Murphy | 2.0 | 1 | 4 | 4.0 | 8
row 15 : Randy Scott | 3.0 | 0 | 0 | 0.0 | 0
row 16 : TOTALS | 44.0 | 0.0 | 27 | 338 | 99t [/Table] Answer this question based on the above table: How many INTs were there with an average less than 8, 0 long, and the player is Mike Douglass?

Answer: 1.0
[Table] header: Player | Sacks | INT'S | Yards | Average | Long row 1 : John Anderson | 3.5 | 3 | 24 | 8.0 | 22
row 2 : Robert Brown | 5.0 | 1 | 5 | 5.0 | 5t
row 3 : Alphonso Carreker | 3.0 | 0 | 0 | 0.0 | 0
row 4 : George Cumby | 2.5 | 1 | 7 | 7.0 | 7
row 5 : Mike Douglass | 9.0 | 0 | 0 | 0.0 | 0
row 6 : Tom Flynn | 0.0 | 9 | 106 | 11.8 | 31
row 7 : Estus Hood | 0.0 | 1 | 8 | 8.0 | 8
row 8 : Donnie Humphrey | 1.0 | 0 | 0 | 0.0 | 0
row 9 : Ezra Johnson | 7.0 | 0 | 0 | 0.0 | 0
row 10 : Terry Jones | 4.0 | 0 | 0 | 0.0 | 0
row 11 : Mark Lee | 0.0 | 3 | 33 | 11.0 | 14
row 12 : Tim Lewis | 0.0 | 7 | 151 | 21.6 | 99t
row 13 : Charles Martin | 3.0 | 0 | 0 | 0.0 | 0
row 14 : Mark Murphy | 2.0 | 1 | 4 | 4.0 | 8
row 15 : Randy Scott | 3.0 | 0 | 0 | 0.0 | 0
row 16 : TOTALS | 44.0 | 0.0 | 27 | 338 | 99t [/Table] Answer this question based on the above table: What is Randy Scott's lowest yards when there are 0 INTs and more than 3 sacks?

Answer: none
[Table] header: Player | Sacks | INT'S | Yards | Average | Long row 1 : John Anderson | 3.5 | 3 | 24 | 8.0 | 22
row 2 : Robert Brown | 5.0 | 1 | 5 | 5.0 | 5t
row 3 : Alphonso Carreker | 3.0 | 0 | 0 | 0.0 | 0
row 4 : George Cumby | 2.5 | 1 | 7 | 7.0 | 7
row 5 : Mike Douglass | 9.0 | 0 | 0 | 0.0 | 0
row 6 : Tom Flynn | 0.0 | 9 | 106 | 11.8 | 31
row 7 : Estus Hood | 0.0 | 1 | 8 | 8.0 | 8
row 8 : Donnie Humphrey | 1.0 | 0 | 0 | 0.0 | 0
row 9 : Ezra Johnson | 7.0 | 0 | 0 | 0.0 | 0
row 10 : Terry Jones | 4.0 | 0 | 0 | 0.0 | 0
row 11 : Mark Lee | 0.0 | 3 | 33 | 11.0 | 14
row 12 : Tim Lewis | 0.0 | 7 | 151 | 21.6 | 99t
row 13 : Charles Martin | 3.0 | 0 | 0 | 0.0 | 0
row 14 : Mark Murphy | 2.0 | 1 | 4 | 4.0 | 8
row 15 : Randy Scott | 3.0 | 0 | 0 | 0.0 | 0
row 16 : TOTALS | 44.0 | 0.0 | 27 | 338 | 99t [/Table] Answer this question based on the above table: How many INTs are there with an average of 0 and more than 7 Sacks?

Answer: 0.0
[Table] header: Country | Track | Length (m) | Vertical Drop (m) | Maximum Grade (%) | Bobsleigh-skeleton curves row 1 : Austria | Igls | 1,220 | 98.10 | 14 | 14
row 2 : Canada | Calgary | 1,475 | 121.48 | 15 | 14
row 3 : Canada | Whistler | 1,450 | 152 | 10.5 (average) | 16
row 4 : France | La Plagne | 1,507.5 | 119 | 8.29 (average) | 19
row 5 : Germany | Altenberg | 1,413 | 122.22 | 15 | 18
row 6 : Germany | Königssee | 1,306 | 117 | 10.35 | 13 (bobsleigh)/ 12 (ske
row 7 : Germany | Oberhof | 1,069.70 | 96.37 | 9.2 (average) | 15
row 8 : Germany | Winterberg | 1,330 | 110 | 15 (9.8% average) | 14
row 9 : Italy | Cortina d'Ampezzo | 1,350 | 120.45 | 15.9 | 13
row 10 : Japan | Nagano | 1,360 | 113 | 8.64 (average) | 14
row 11 : Latvia | Sigulda | 1,200 | 111.5 | 9.3 | 16
row 12 : Norway | Lillehammer | 1,365 | 114.3 | 15 | 16
row 13 : Russia | Paramonovo | 1,600 | 105.0 | 15 | 19
row 14 : Switzerland | St. Moritz | 1,722 | 130 | 15 (8.14 average) | 16
row 15 : United States | Lake Placid | 1,455 | 107 | 9.8 (average) | 20
row 16 : United States | Park City | 1,340 | 103.9 | 8.1 (average) | 15 [/Table] Answer this question based on the above table: Which track in Austria has Bobsleigh-skeleton curves with a grade of 14%?

Answer: Igls
[Table] header: Country | Track | Length (m) | Vertical Drop (m) | Maximum Grade (%) | Bobsleigh-skeleton curves row 1 : Austria | Igls | 1,220 | 98.10 | 14 | 14
row 2 : Canada | Calgary | 1,475 | 121.48 | 15 | 14
row 3 : Canada | Whistler | 1,450 | 152 | 10.5 (average) | 16
row 4 : France | La Plagne | 1,507.5 | 119 | 8.29 (average) | 19
row 5 : Germany | Altenberg | 1,413 | 122.22 | 15 | 18
row 6 : Germany | Königssee | 1,306 | 117 | 10.35 | 13 (bobsleigh)/ 12 (ske
row 7 : Germany | Oberhof | 1,069.70 | 96.37 | 9.2 (average) | 15
row 8 : Germany | Winterberg | 1,330 | 110 | 15 (9.8% average) | 14
row 9 : Italy | Cortina d'Ampezzo | 1,350 | 120.45 | 15.9 | 13
row 10 : Japan | Nagano | 1,360 | 113 | 8.64 (average) | 14
row 11 : Latvia | Sigulda | 1,200 | 111.5 | 9.3 | 16
row 12 : Norway | Lillehammer | 1,365 | 114.3 | 15 | 16
row 13 : Russia | Paramonovo | 1,600 | 105.0 | 15 | 19
row 14 : Switzerland | St. Moritz | 1,722 | 130 | 15 (8.14 average) | 16
row 15 : United States | Lake Placid | 1,455 | 107 | 9.8 (average) | 20
row 16 : United States | Park City | 1,340 | 103.9 | 8.1 (average) | 15 [/Table] Answer this question based on the above table: What is the shortest length of a track in Norway that has a maximum grade of 15% and a vertical drop less than 122.22 m?

Answer: 1365.0
[Table] header: Country | Track | Length (m) | Vertical Drop (m) | Maximum Grade (%) | Bobsleigh-skeleton curves row 1 : Austria | Igls | 1,220 | 98.10 | 14 | 14
row 2 : Canada | Calgary | 1,475 | 121.48 | 15 | 14
row 3 : Canada | Whistler | 1,450 | 152 | 10.5 (average) | 16
row 4 : France | La Plagne | 1,507.5 | 119 | 8.29 (average) | 19
row 5 : Germany | Altenberg | 1,413 | 122.22 | 15 | 18
row 6 : Germany | Königssee | 1,306 | 117 | 10.35 | 13 (bobsleigh)/ 12 (ske
row 7 : Germany | Oberhof | 1,069.70 | 96.37 | 9.2 (average) | 15
row 8 : Germany | Winterberg | 1,330 | 110 | 15 (9.8% average) | 14
row 9 : Italy | Cortina d'Ampezzo | 1,350 | 120.45 | 15.9 | 13
row 10 : Japan | Nagano | 1,360 | 113 | 8.64 (average) | 14
row 11 : Latvia | Sigulda | 1,200 | 111.5 | 9.3 | 16
row 12 : Norway | Lillehammer | 1,365 | 114.3 | 15 | 16
row 13 : Russia | Paramonovo | 1,600 | 105.0 | 15 | 19
row 14 : Switzerland | St. Moritz | 1,722 | 130 | 15 (8.14 average) | 16
row 15 : United States | Lake Placid | 1,455 | 107 | 9.8 (average) | 20
row 16 : United States | Park City | 1,340 | 103.9 | 8.1 (average) | 15 [/Table] Answer this question based on the above table: What is the highest vertical drop among the 1,200 meter long tracks?

Answer: 111.5
[Table] header: Match | Date | Opponent | Venue | Result | Attendance row 1 : 1 | 8 September 1888 | Wolverhampton Wanderers | A | 1 – 1 | 2,500
row 2 : 2 | 15 September 1888 | Stoke | H | 5 – 1 | 4,000
row 3 : 3 | 22 September 1888 | Everton | H | 2 – 1 | 4,000
row 4 : 4 | 29 September 1888 | Notts County | H | 9 – 1 | 4,000
row 5 : 5 | 6 October 1888 | Everton | A | 0 – 2 | 10,000
row 6 : 6 | 13 October 1888 | Blackburn Rovers | H | 6 – 1 | 5,000
row 7 : 7 | 20 October 1888 | Bolton Wanderers | A | 3 – 2 | 8,000
row 8 : 8 | 27 October 1888 | Accrington | H | 4 – 3 | 6,000
row 9 : 9 | 3 November 1888 | Stoke | A | 1 – 1 | 4,000
row 10 : 10 | 10 November 1888 | Preston North End | A | 1 – 1 | 10,000
row 11 : 11 | 17 November 1888 | Blackburn Rovers | A | 1 – 5 | 9,500
row 12 : 12 | 24 November 1888 | Wolverhampton Wanderers | H | 2 – 1 | 6,000
row 13 : 13 | 8 December 1888 | Notts County | A | 4 – 2 | 2,000
row 14 : 14 | 15 December 1888 | Accrington | A | 1 – 1 | 2,000
row 15 : 15 | 22 December 1888 | Burnley | H | 4 – 2 | 2,000
row 16 : 16 | 29 December 1888 | Derby County | H | 4 – 2 | 4,000
row 17 : 17 | 5 January 1889 | Burnley | A | 0 – 4 | 6,000
row 18 : 18 | 12 January 1889 | Bolton Wanderers | H | 6 – 2 | 2,000
row 19 : 19 | 19 January 1889 | West Bromwich Albion | H | 2 – 0 | 10,000
row 20 : 20 | 26 January 1889 | West Bromwich Albion | A | 3 – 3 | 8,515
row 21 : 21 | 9 February 1889 | Preston North End | H | 0 – 2 | 10,000
row 22 : 22 | 9 March 1889 | Derby County | A | 2 – 5 | 3,000 [/Table] Answer this question based on the above table: How many Attendance has a Opponent of west bromwich albion, and a Result of 3 – 3, and a Match larger than 20?

Answer: none
[Table] header: Match | Date | Opponent | Venue | Result | Attendance row 1 : 1 | 8 September 1888 | Wolverhampton Wanderers | A | 1 – 1 | 2,500
row 2 : 2 | 15 September 1888 | Stoke | H | 5 – 1 | 4,000
row 3 : 3 | 22 September 1888 | Everton | H | 2 – 1 | 4,000
row 4 : 4 | 29 September 1888 | Notts County | H | 9 – 1 | 4,000
row 5 : 5 | 6 October 1888 | Everton | A | 0 – 2 | 10,000
row 6 : 6 | 13 October 1888 | Blackburn Rovers | H | 6 – 1 | 5,000
row 7 : 7 | 20 October 1888 | Bolton Wanderers | A | 3 – 2 | 8,000
row 8 : 8 | 27 October 1888 | Accrington | H | 4 – 3 | 6,000
row 9 : 9 | 3 November 1888 | Stoke | A | 1 – 1 | 4,000
row 10 : 10 | 10 November 1888 | Preston North End | A | 1 – 1 | 10,000
row 11 : 11 | 17 November 1888 | Blackburn Rovers | A | 1 – 5 | 9,500
row 12 : 12 | 24 November 1888 | Wolverhampton Wanderers | H | 2 – 1 | 6,000
row 13 : 13 | 8 December 1888 | Notts County | A | 4 – 2 | 2,000
row 14 : 14 | 15 December 1888 | Accrington | A | 1 – 1 | 2,000
row 15 : 15 | 22 December 1888 | Burnley | H | 4 – 2 | 2,000
row 16 : 16 | 29 December 1888 | Derby County | H | 4 – 2 | 4,000
row 17 : 17 | 5 January 1889 | Burnley | A | 0 – 4 | 6,000
row 18 : 18 | 12 January 1889 | Bolton Wanderers | H | 6 – 2 | 2,000
row 19 : 19 | 19 January 1889 | West Bromwich Albion | H | 2 – 0 | 10,000
row 20 : 20 | 26 January 1889 | West Bromwich Albion | A | 3 – 3 | 8,515
row 21 : 21 | 9 February 1889 | Preston North End | H | 0 – 2 | 10,000
row 22 : 22 | 9 March 1889 | Derby County | A | 2 – 5 | 3,000 [/Table] Answer this question based on the above table: WHich Match has a Venue of h on 22 september 1888 with Attendances smaller than 4,000?

Answer: none
[Table] header: Date | Venue | Score | Result | Competition row 1 : 5 April 2000 | Dongdaemun Stadium , | 1–0 | 2–0 | 2000 AFC Asian Cup qualification
row 2 : 10 October 2003 | Bukit Jalil Stadium , Kual | 1–3 | 1–3 | 2004 AFC Asian Cup qualification
row 3 : 24 October 2003 | Bahrain National Stadium , Riffa | 1–0 | 2–1 | 2004 AFC Asian Cup qualification
row 4 : 12 December 2004 | Bukit Jalil Stadium , Kual | 1–0 | 1–0 | Tiger Cup 2004
row 5 : 16 December 2004 | Bukit Jalil Stadium , Kual | 1–0 | 3–1 | Tiger Cup 2004
row 6 : 29 December 2004 | KLFA Stadium , Cheras | 1–1 | 3–4 | Tiger Cup 2004
row 7 : 29 December 2004 | KLFA Stadium , Cheras | 3–4 | 3–4 | Tiger Cup 2004
row 8 : 2 January 2005 | National Stadium , Singapore | 1–0 | 2–4 | Tiger Cup 2004
row 9 : 27 August 2006 | Shah Alam Stadium , Shah Alam | 2–1 | 2–1 | 2006 Merdeka Tournament
row 10 : 29 August 2006 | Shah Alam Stadium , Shah Alam | 2–0 | 2–1 | 2006 Merdeka Tournament
row 11 : 20 August 2007 | MBPJ Stadium , Petaling Jay | 1–0 | 1–0 | 2007 Merdeka Tournament
row 12 : 31 July 2008 | Gachibowli Athletic Stadium , Hyderabad | 3–0 | 3–0 | 2008 AFC Challenge Cup
row 13 : 2 August 2008 | Gachibowli Athletic Stadium , Hyderabad | 1–0 | 3–1 | 2008 AFC Challenge Cup
row 14 : 22 August 2008 | Gelora Bung Karno Stadium  | 3–1 | 7–1 | Independence Cup 2008
row 15 : 18 November 2008 | Thuwunna Stadium , Yangon | 1–0 | 4–1 | 2008 Myanmar Grand Royal Challenge Cup
row 16 : 18 November 2008 | Thuwunna Stadium , Yangon | 2–0 | 4–1 | 2008 Myanmar Grand Royal Challenge Cup
row 17 : 18 November 2008 | Thuwunna Stadium , Yangon | 3–1 | 4–1 | 2008 Myanmar Grand Royal Challenge Cup
row 18 : 21 November 2008 | Thuwunna Stadium , Yangon | 1–0 | 2–1 | 2008 Myanmar Grand Royal Challenge Cup
row 19 : 21 November 2008 | Thuwunna Stadium , Yangon | 2–1 | 2–1 | 2008 Myanmar Grand Royal Challenge Cup [/Table] Answer this question based on the above table: What is the venue of the match on 5 April 2000?

Answer: Dongdaemun Stadium ,
[Table] header: Res. | Record | Opponent | Round | Time | Location row 1 : Loss | 26-17-2 | Hideo Tokoro | 1 | 0:39 | Tokyo , Japan
row 2 : Loss | 26-16-2 | Nico Verresen | 1 | 4:17 | Tokyo , Japan
row 3 : Loss | 26-15-2 | Masakatsu Ueda | 1 | 4:23 | Tokyo , Japan
row 4 : Win | 26–14–2 | Ryota Matsune | 2 | 0:21 | Tokyo , Japan
row 5 : Win | 25–14–2 | Corey Grant | 1 | 3:20 | Tokyo , Japan
row 6 : Loss | 24–14–2 | Takeshi Inoue | 1 | 4:41 | Tokyo , Japan
row 7 : Loss | 24–13–2 | Hatsu Hioki | 1 | 3:32 | Tokyo , Japan
row 8 : Loss | 24–12–2 | Akitoshi Tamura | 3 | 2:37 | Tokyo , Japan
row 9 : Loss | 24–11–2 | Hideki Kadowaki | 1 | 4:09 | Tokyo , Japan
row 10 : Win | 24–10–2 | Augusto Frota | 1 | 1:21 | Tokyo , Japan
row 11 : Loss | 23–10–2 | Antonio Carvalho | 2 | 0:49 | Tokyo , Japan
row 12 : Loss | 23–9–2 | Gilbert Melendez | 1 | 1:32 | Kanagawa , Japan
row 13 : Win | 23–8–2 | Makoto Ishikawa | 3 | 5:00 | Tokyo , Japan
row 14 : Win | 22–8–2 | Katsuya Toida | 2 | 1:21 | Tokyo , Japan
row 15 : Win | 21–8-2 | Bao Quach | 1 | 3:04 | Honolulu, Hawaii , United
row 16 : Win | 20–8-2 | Erikas Petraitis | 2 | 2:20 | Tokyo , Japan
row 17 : Loss | 19–8-2 | Alexandre Franca Nogueira | 1 | 0:41 | Chiba , Japan
row 18 : Win | 19–7-2 | Ryan Ackerman | 1 | 2:12 | Hiroshima , Japan
row 19 : Loss | 18–7-2 | Joachim Hansen | 1 | 2:09 | Tokyo , Japan
row 20 : Draw | 18-6-2 | Takumi Nakayama | 3 | 5:00 | Tokyo , Japan
row 21 : Loss | 18–6–1 | Javier Vazquez | 3 | 5:00 | Osaka , Japan
row 22 : Loss | 18–5–1 | Takanori Gomi | 3 | 5:00 | Chiba , Japan
row 23 : Win | 18–4–1 | Marcio Ramos Barbosa | 3 | 5:00 | Osaka , Japan
row 24 : Loss | 17–4–1 | Caol Uno | 1 | 2:21 | Chiba , Japan
row 25 : Win | 17–3–1 | Takuya Kuwabara | 2 | 5:00 | Kanagawa , Japan
row 26 : Win | 16–3–1 | Yves Edwards | 1 | 0:18 | Honolulu, Hawaii , United
row 27 : Win | 15–3–1 | Rafael Cordeiro | 1 | 0:58 | Chiba , Japan
row 28 : Win | 14–3–1 | Phil Johns | 1 | 0:54 | Osaka , Japan
row 29 : Loss | 13–3–1 | Caol Uno | 3 | 4:02 | Yokohama , Japan
row 30 : Win | 13–2–1 | Charles Diaz | 1 | 0:06 | Tokyo , Japan
row 31 : Loss | 12–2–1 | André Pederneiras | 1 | 4:20 | Chiba , Japan
row 32 : Win | 12–1–1 | Michael Buell | 1 | 0:31 | Tokyo , Japan
row 33 : Loss | 11–1–1 | Joel Gerson | 1 | 3:53 | Tokyo , Japan
row 34 : Win | 11–0–1 | John Lewis | 2 | 1:23 | Chiba , Japan
row 35 : Win | 10–0–1 | Maurice Corty | 1 | 2:01 | Tokyo , Japan
row 36 : Win | 9–0–1 | Alan Fried | 1 | 0:59 | Tokyo , Japan
row 37 : Win | 8–0–1 | Ali Mihoubi | 1 | 2:21 | Tokyo , Japan
row 38 : Win | 7–0–1 | Ricardo Botelho | 3 | 1:24 | Tokyo , Japan
row 39 : Draw | 6–0–1 | John Lewis | 3 | 8:00 | Chiba , Japan
row 40 : Win | 6–0 | Kyuhei Ueno | 1 | 4:04 | Tokyo , Japan
row 41 : Win | 5–0 | Masato Suzuki | 1 | 3:00 | Tokyo , Japan
row 42 : Win | 4–0 | Isamu Osugi | 1 | 2:01 | Tokyo , Japan
row 43 : Win | 3–0 | Ron Balicki | 1 | 2:14 | Saitama , Japan
row 44 : Win | 2–0 | Katsuaki Yano | 1 | 2:23 | Tokyo , Japan
row 45 : Win | 1–0 | Michael McAuliffe | 2 | 2:18 | Tokyo , Japan [/Table] Answer this question based on the above table: What is the round number of the match with Michael Buell as the opponent?

Answer: 1.0
[Table] header: Date | Opponent | Score | Loss | Attendance | Record row 1 : September 1 | @ Tigers | 7 - 4 | Walker (3-3) | 10,986 | 62-76
row 2 : September 2 | @ Tigers | 8 - 6 | Durbin (0-1) | 9,318 | 62-77
row 3 : September 3 | @ Tigers | 6 - 5 (11) | Santiago (1-2) | 10,234 | 62-78
row 4 : September 4 | @ Tigers | 2 - 1 | Westbrook (6-9) | 11,371 | 62-79
row 5 : September 5 | @ White Sox | 5 - 3 | Traber (6-8) | 27,196 | 62-80
row 6 : September 6 | @ White Sox | 8 - 5 | Cressend (2-1) | 24,796 | 62-81
row 7 : September 7 | @ White Sox | 7 - 3 | Báez (1-8) | 19,999 | 62-82
row 8 : September 9 | @ Royals | 7 - 1 | Gobble (3-4) | 12,389 | 63-82
row 9 : September 10 | @ Royals | 9 - 7 | Santiago (1-3) | 21,581 | 63-83
row 10 : September 11 | @ Royals | 6 - 5 | Grimsley (2-6) | 13,188 | 64-83
row 11 : September 12 | Twins | 4 - 3 | Rogers (11-8) | 20,679 | 65-83
row 12 : September 13 | Twins | 2 - 0 | Stanford (0-2) | 20,440 | 65-84
row 13 : September 14 | Twins | 5 - 3 | Báez (2-9) | 19,452 | 65-85
row 14 : September 15 | Twins | 13 - 6 | Davis (8-11) | 16,967 | 65-86
row 15 : September 16 | Royals | 12 - 8 | Traber (6-9) | 16,145 | 65-87
row 16 : September 17 | Royals | 9 - 1 | Abbott (1-2) | 16,363 | 66-87
row 17 : September 18 | Royals | 3 - 2 | Sabathia (13-9) | 17,275 | 66-88
row 18 : September 19 | Red Sox | 2 - 0 | Stanford (0-3) | 20,374 | 66-89
row 19 : September 20 | Red Sox | 13 - 4 | Lowe (16-7) | 23,242 | 67-89
row 20 : September 21 | Red Sox | 2 - 0 | Lee (3-2) | 27,655 | 67-90
row 21 : September 23 | @ Twins | 4 - 1 | Westbrook (7-10) | 33,650 | 67-91
row 22 : September 24 | @ Twins | 3 - 2 | Betancourt (2-2) | 32,986 | 67-92
row 23 : September 26 | @ Blue Jays | 2 - 1 | Lidle (12-15) | 13,861 | 68-92
row 24 : September 27 | @ Blue Jays | 5 - 4 | Mulholland (3-4) | 21,504 | 68-93
row 25 : September 28 | @ Blue Jays | 6 - 2 | Lee (3-3) | 22,014 | 68-94 [/Table] Answer this question based on the above table: what team scored 65-87

Answer: September 16
[Table] header: Date | Opponent | Score | Loss | Attendance | Record row 1 : September 1 | @ Tigers | 7 - 4 | Walker (3-3) | 10,986 | 62-76
row 2 : September 2 | @ Tigers | 8 - 6 | Durbin (0-1) | 9,318 | 62-77
row 3 : September 3 | @ Tigers | 6 - 5 (11) | Santiago (1-2) | 10,234 | 62-78
row 4 : September 4 | @ Tigers | 2 - 1 | Westbrook (6-9) | 11,371 | 62-79
row 5 : September 5 | @ White Sox | 5 - 3 | Traber (6-8) | 27,196 | 62-80
row 6 : September 6 | @ White Sox | 8 - 5 | Cressend (2-1) | 24,796 | 62-81
row 7 : September 7 | @ White Sox | 7 - 3 | Báez (1-8) | 19,999 | 62-82
row 8 : September 9 | @ Royals | 7 - 1 | Gobble (3-4) | 12,389 | 63-82
row 9 : September 10 | @ Royals | 9 - 7 | Santiago (1-3) | 21,581 | 63-83
row 10 : September 11 | @ Royals | 6 - 5 | Grimsley (2-6) | 13,188 | 64-83
row 11 : September 12 | Twins | 4 - 3 | Rogers (11-8) | 20,679 | 65-83
row 12 : September 13 | Twins | 2 - 0 | Stanford (0-2) | 20,440 | 65-84
row 13 : September 14 | Twins | 5 - 3 | Báez (2-9) | 19,452 | 65-85
row 14 : September 15 | Twins | 13 - 6 | Davis (8-11) | 16,967 | 65-86
row 15 : September 16 | Royals | 12 - 8 | Traber (6-9) | 16,145 | 65-87
row 16 : September 17 | Royals | 9 - 1 | Abbott (1-2) | 16,363 | 66-87
row 17 : September 18 | Royals | 3 - 2 | Sabathia (13-9) | 17,275 | 66-88
row 18 : September 19 | Red Sox | 2 - 0 | Stanford (0-3) | 20,374 | 66-89
row 19 : September 20 | Red Sox | 13 - 4 | Lowe (16-7) | 23,242 | 67-89
row 20 : September 21 | Red Sox | 2 - 0 | Lee (3-2) | 27,655 | 67-90
row 21 : September 23 | @ Twins | 4 - 1 | Westbrook (7-10) | 33,650 | 67-91
row 22 : September 24 | @ Twins | 3 - 2 | Betancourt (2-2) | 32,986 | 67-92
row 23 : September 26 | @ Blue Jays | 2 - 1 | Lidle (12-15) | 13,861 | 68-92
row 24 : September 27 | @ Blue Jays | 5 - 4 | Mulholland (3-4) | 21,504 | 68-93
row 25 : September 28 | @ Blue Jays | 6 - 2 | Lee (3-3) | 22,014 | 68-94 [/Table] Answer this question based on the above table: what was the score on september 14

Answer: 5 - 3
[Table] header: Model | Codename | Capacities (GB) | NAND type | Interface | Form factor | Controller | Seq. read/write MB/s | Rnd 4KB read/write IOPS (K) | Introduced row 1 : X18-M/X25-M | Ephraim | 80/160 | 50nm MLC | SATA 3 Gbit/s | 1.8"/2.5" | Intel | 250 / 70 | 35 / 3.300–0.35 | Sept 2008 (now EOL )
row 2 : X25-E | Ephraim | 32/64 | 50nm SLC | SATA 3 Gbit/s | 2.5" | Intel | 250 / 170 | 35 / 3.3 | Oct 2008
row 3 : X18-M G2 /  | Postville | 80/120/160 | 34nm MLC | SATA 3 Gbit/s | 1.8"/2.5" | Intel | 250 / 100 | 35 / 6.6–0.3 | July 2009
row 4 : X25-V | Glenbrook | 40 | 34nm MLC | SATA 3 Gbit/s | 2.5" | Intel | 170 / 35 | 25 / 2.5–? | Mar 2010
row 5 : 310 | Soda Creek | 40/80 | 25nm MLC | SATA 3 Gbit/s | mSATA | Intel | 200/70 | 35/2.6 | Dec 2010
row 6 : 510 | Elmcrest | 120/250 | 34nm MLC | SATA 6 Gbit/s | 2.5" | Marvell | 500/315 | 20/8 | Mar 2011
row 7 : 320 | Postville Refresh | 40/80/120/160/300/ | 25nm MLC | SATA 3 Gbit/s | 1.8"/2.5" | Intel | 270/220 | 39.5/23 | Mar 2011
row 8 : 311 | Larsen Creek | 20 | 34nm SLC | SATA 3 Gbit/s | 2.5"/mSATA | Intel | 200/105 | 37/3.3 | May 2011
row 9 : 710 | Lyndonville | 100/200/300 | 25nm MLC-HET | SATA 3 Gbit/s | 2.5" | Intel | 270/210 | 38.5/2.7 | Q3 2011
row 10 : 520 | Cherryville | 60/120/180/240/480 | 25nm MLC | SATA 6 Gbit/s | 2.5" | SandForce | 550/520 | 50/80 | February 2012
row 11 : 313 | Hawley Creek | 20/24 | 25nm SLC | SATA 3 Gbit/s | 2.5"/mSATA | Intel | 220/115 | 36/4 | April 2012
row 12 : 330 | Maple Crest | 60/120/180/240 | 25nm MLC | SATA 6 Gbit/s | 2.5" | SandForce | 500/450 | 22.5/33 | April 2012
row 13 : 910 | Ramsdale | 400/800 | 25nm MLC-HET | PCIe 2.0 × 8 | PCIe | Intel/Hitachi | 2000/1000 | 180/75 | April 2012
row 14 : 335 | Jay Crest | 80/180/240 | 20nm MLC | SATA 6 Gbit/s | 2.5" | SandForce | 500/450 | 42/52 | October 2012
row 15 : S3700 | Taylorsville | 100/200/400/800 | 25nm MLC-HET | SATA 6 Gbit/s | 1.8"/2.5" | Intel | 500/450 | 72/34 | November 2012
row 16 : 525 | Lincoln Crest | 30/60/120/180/240 | 25nm MLC | SATA 6 Gbit/s | mSATA | SandForce | 550/520 | 50/60 | January 2013
row 17 : S3500 | Wolfsville | 80/120/160/240/300/ | 20nm MLC | SATA 6 Gbit/s | 1.8"/2.5" | Intel | 475/450 | 75/11.5 | June 2013
row 18 : 530 | Dale Crest | 80/120/180/240/360/ | 20nm MLC | SATA 6 Gbit/s | M.2/mSATA/2.5" | SandForce | 540/490 | 41/80 | July 2013
row 19 : Pro 1500 | Sierra Star | 80/120/180/240/360/ | 20nm MLC | SATA 6 Gbit/s | M.2/2.5" | SandForce | 540/490 | 41/80 | Sept 2013
row 20 : Model | Codename | Capacities (GB) | NAND type | Interface | Form factor | Controller | Seq. read/write MB/s | Rnd 4KB read/write IOPS | Introduced [/Table] Answer this question based on the above table: What form factor has capacities at 60/120/180/240?

Answer: 2.5"
[Table] header: Model | Codename | Capacities (GB) | NAND type | Interface | Form factor | Controller | Seq. read/write MB/s | Rnd 4KB read/write IOPS (K) | Introduced row 1 : X18-M/X25-M | Ephraim | 80/160 | 50nm MLC | SATA 3 Gbit/s | 1.8"/2.5" | Intel | 250 / 70 | 35 / 3.300–0.35 | Sept 2008 (now EOL )
row 2 : X25-E | Ephraim | 32/64 | 50nm SLC | SATA 3 Gbit/s | 2.5" | Intel | 250 / 170 | 35 / 3.3 | Oct 2008
row 3 : X18-M G2 /  | Postville | 80/120/160 | 34nm MLC | SATA 3 Gbit/s | 1.8"/2.5" | Intel | 250 / 100 | 35 / 6.6–0.3 | July 2009
row 4 : X25-V | Glenbrook | 40 | 34nm MLC | SATA 3 Gbit/s | 2.5" | Intel | 170 / 35 | 25 / 2.5–? | Mar 2010
row 5 : 310 | Soda Creek | 40/80 | 25nm MLC | SATA 3 Gbit/s | mSATA | Intel | 200/70 | 35/2.6 | Dec 2010
row 6 : 510 | Elmcrest | 120/250 | 34nm MLC | SATA 6 Gbit/s | 2.5" | Marvell | 500/315 | 20/8 | Mar 2011
row 7 : 320 | Postville Refresh | 40/80/120/160/300/ | 25nm MLC | SATA 3 Gbit/s | 1.8"/2.5" | Intel | 270/220 | 39.5/23 | Mar 2011
row 8 : 311 | Larsen Creek | 20 | 34nm SLC | SATA 3 Gbit/s | 2.5"/mSATA | Intel | 200/105 | 37/3.3 | May 2011
row 9 : 710 | Lyndonville | 100/200/300 | 25nm MLC-HET | SATA 3 Gbit/s | 2.5" | Intel | 270/210 | 38.5/2.7 | Q3 2011
row 10 : 520 | Cherryville | 60/120/180/240/480 | 25nm MLC | SATA 6 Gbit/s | 2.5" | SandForce | 550/520 | 50/80 | February 2012
row 11 : 313 | Hawley Creek | 20/24 | 25nm SLC | SATA 3 Gbit/s | 2.5"/mSATA | Intel | 220/115 | 36/4 | April 2012
row 12 : 330 | Maple Crest | 60/120/180/240 | 25nm MLC | SATA 6 Gbit/s | 2.5" | SandForce | 500/450 | 22.5/33 | April 2012
row 13 : 910 | Ramsdale | 400/800 | 25nm MLC-HET | PCIe 2.0 × 8 | PCIe | Intel/Hitachi | 2000/1000 | 180/75 | April 2012
row 14 : 335 | Jay Crest | 80/180/240 | 20nm MLC | SATA 6 Gbit/s | 2.5" | SandForce | 500/450 | 42/52 | October 2012
row 15 : S3700 | Taylorsville | 100/200/400/800 | 25nm MLC-HET | SATA 6 Gbit/s | 1.8"/2.5" | Intel | 500/450 | 72/34 | November 2012
row 16 : 525 | Lincoln Crest | 30/60/120/180/240 | 25nm MLC | SATA 6 Gbit/s | mSATA | SandForce | 550/520 | 50/60 | January 2013
row 17 : S3500 | Wolfsville | 80/120/160/240/300/ | 20nm MLC | SATA 6 Gbit/s | 1.8"/2.5" | Intel | 475/450 | 75/11.5 | June 2013
row 18 : 530 | Dale Crest | 80/120/180/240/360/ | 20nm MLC | SATA 6 Gbit/s | M.2/mSATA/2.5" | SandForce | 540/490 | 41/80 | July 2013
row 19 : Pro 1500 | Sierra Star | 80/120/180/240/360/ | 20nm MLC | SATA 6 Gbit/s | M.2/2.5" | SandForce | 540/490 | 41/80 | Sept 2013
row 20 : Model | Codename | Capacities (GB) | NAND type | Interface | Form factor | Controller | Seq. read/write MB/s | Rnd 4KB read/write IOPS | Introduced [/Table] Answer this question based on the above table: Which value for Form factor has Sandforce with Capacity 80/120/180/240/360/480 introduced in July 2013?

Answer: none
[Table] header: Model | Codename | Capacities (GB) | NAND type | Interface | Form factor | Controller | Seq. read/write MB/s | Rnd 4KB read/write IOPS (K) | Introduced row 1 : X18-M/X25-M | Ephraim | 80/160 | 50nm MLC | SATA 3 Gbit/s | 1.8"/2.5" | Intel | 250 / 70 | 35 / 3.300–0.35 | Sept 2008 (now EOL )
row 2 : X25-E | Ephraim | 32/64 | 50nm SLC | SATA 3 Gbit/s | 2.5" | Intel | 250 / 170 | 35 / 3.3 | Oct 2008
row 3 : X18-M G2 /  | Postville | 80/120/160 | 34nm MLC | SATA 3 Gbit/s | 1.8"/2.5" | Intel | 250 / 100 | 35 / 6.6–0.3 | July 2009
row 4 : X25-V | Glenbrook | 40 | 34nm MLC | SATA 3 Gbit/s | 2.5" | Intel | 170 / 35 | 25 / 2.5–? | Mar 2010
row 5 : 310 | Soda Creek | 40/80 | 25nm MLC | SATA 3 Gbit/s | mSATA | Intel | 200/70 | 35/2.6 | Dec 2010
row 6 : 510 | Elmcrest | 120/250 | 34nm MLC | SATA 6 Gbit/s | 2.5" | Marvell | 500/315 | 20/8 | Mar 2011
row 7 : 320 | Postville Refresh | 40/80/120/160/300/ | 25nm MLC | SATA 3 Gbit/s | 1.8"/2.5" | Intel | 270/220 | 39.5/23 | Mar 2011
row 8 : 311 | Larsen Creek | 20 | 34nm SLC | SATA 3 Gbit/s | 2.5"/mSATA | Intel | 200/105 | 37/3.3 | May 2011
row 9 : 710 | Lyndonville | 100/200/300 | 25nm MLC-HET | SATA 3 Gbit/s | 2.5" | Intel | 270/210 | 38.5/2.7 | Q3 2011
row 10 : 520 | Cherryville | 60/120/180/240/480 | 25nm MLC | SATA 6 Gbit/s | 2.5" | SandForce | 550/520 | 50/80 | February 2012
row 11 : 313 | Hawley Creek | 20/24 | 25nm SLC | SATA 3 Gbit/s | 2.5"/mSATA | Intel | 220/115 | 36/4 | April 2012
row 12 : 330 | Maple Crest | 60/120/180/240 | 25nm MLC | SATA 6 Gbit/s | 2.5" | SandForce | 500/450 | 22.5/33 | April 2012
row 13 : 910 | Ramsdale | 400/800 | 25nm MLC-HET | PCIe 2.0 × 8 | PCIe | Intel/Hitachi | 2000/1000 | 180/75 | April 2012
row 14 : 335 | Jay Crest | 80/180/240 | 20nm MLC | SATA 6 Gbit/s | 2.5" | SandForce | 500/450 | 42/52 | October 2012
row 15 : S3700 | Taylorsville | 100/200/400/800 | 25nm MLC-HET | SATA 6 Gbit/s | 1.8"/2.5" | Intel | 500/450 | 72/34 | November 2012
row 16 : 525 | Lincoln Crest | 30/60/120/180/240 | 25nm MLC | SATA 6 Gbit/s | mSATA | SandForce | 550/520 | 50/60 | January 2013
row 17 : S3500 | Wolfsville | 80/120/160/240/300/ | 20nm MLC | SATA 6 Gbit/s | 1.8"/2.5" | Intel | 475/450 | 75/11.5 | June 2013
row 18 : 530 | Dale Crest | 80/120/180/240/360/ | 20nm MLC | SATA 6 Gbit/s | M.2/mSATA/2.5" | SandForce | 540/490 | 41/80 | July 2013
row 19 : Pro 1500 | Sierra Star | 80/120/180/240/360/ | 20nm MLC | SATA 6 Gbit/s | M.2/2.5" | SandForce | 540/490 | 41/80 | Sept 2013
row 20 : Model | Codename | Capacities (GB) | NAND type | Interface | Form factor | Controller | Seq. read/write MB/s | Rnd 4KB read/write IOPS | Introduced [/Table] Answer this question based on the above table: Which controller has an interface of pcie 2.0 × 8?

Answer: Intel/Hitachi
[Table] header: Model | Codename | Capacities (GB) | NAND type | Interface | Form factor | Controller | Seq. read/write MB/s | Rnd 4KB read/write IOPS (K) | Introduced row 1 : X18-M/X25-M | Ephraim | 80/160 | 50nm MLC | SATA 3 Gbit/s | 1.8"/2.5" | Intel | 250 / 70 | 35 / 3.300–0.35 | Sept 2008 (now EOL )
row 2 : X25-E | Ephraim | 32/64 | 50nm SLC | SATA 3 Gbit/s | 2.5" | Intel | 250 / 170 | 35 / 3.3 | Oct 2008
row 3 : X18-M G2 /  | Postville | 80/120/160 | 34nm MLC | SATA 3 Gbit/s | 1.8"/2.5" | Intel | 250 / 100 | 35 / 6.6–0.3 | July 2009
row 4 : X25-V | Glenbrook | 40 | 34nm MLC | SATA 3 Gbit/s | 2.5" | Intel | 170 / 35 | 25 / 2.5–? | Mar 2010
row 5 : 310 | Soda Creek | 40/80 | 25nm MLC | SATA 3 Gbit/s | mSATA | Intel | 200/70 | 35/2.6 | Dec 2010
row 6 : 510 | Elmcrest | 120/250 | 34nm MLC | SATA 6 Gbit/s | 2.5" | Marvell | 500/315 | 20/8 | Mar 2011
row 7 : 320 | Postville Refresh | 40/80/120/160/300/ | 25nm MLC | SATA 3 Gbit/s | 1.8"/2.5" | Intel | 270/220 | 39.5/23 | Mar 2011
row 8 : 311 | Larsen Creek | 20 | 34nm SLC | SATA 3 Gbit/s | 2.5"/mSATA | Intel | 200/105 | 37/3.3 | May 2011
row 9 : 710 | Lyndonville | 100/200/300 | 25nm MLC-HET | SATA 3 Gbit/s | 2.5" | Intel | 270/210 | 38.5/2.7 | Q3 2011
row 10 : 520 | Cherryville | 60/120/180/240/480 | 25nm MLC | SATA 6 Gbit/s | 2.5" | SandForce | 550/520 | 50/80 | February 2012
row 11 : 313 | Hawley Creek | 20/24 | 25nm SLC | SATA 3 Gbit/s | 2.5"/mSATA | Intel | 220/115 | 36/4 | April 2012
row 12 : 330 | Maple Crest | 60/120/180/240 | 25nm MLC | SATA 6 Gbit/s | 2.5" | SandForce | 500/450 | 22.5/33 | April 2012
row 13 : 910 | Ramsdale | 400/800 | 25nm MLC-HET | PCIe 2.0 × 8 | PCIe | Intel/Hitachi | 2000/1000 | 180/75 | April 2012
row 14 : 335 | Jay Crest | 80/180/240 | 20nm MLC | SATA 6 Gbit/s | 2.5" | SandForce | 500/450 | 42/52 | October 2012
row 15 : S3700 | Taylorsville | 100/200/400/800 | 25nm MLC-HET | SATA 6 Gbit/s | 1.8"/2.5" | Intel | 500/450 | 72/34 | November 2012
row 16 : 525 | Lincoln Crest | 30/60/120/180/240 | 25nm MLC | SATA 6 Gbit/s | mSATA | SandForce | 550/520 | 50/60 | January 2013
row 17 : S3500 | Wolfsville | 80/120/160/240/300/ | 20nm MLC | SATA 6 Gbit/s | 1.8"/2.5" | Intel | 475/450 | 75/11.5 | June 2013
row 18 : 530 | Dale Crest | 80/120/180/240/360/ | 20nm MLC | SATA 6 Gbit/s | M.2/mSATA/2.5" | SandForce | 540/490 | 41/80 | July 2013
row 19 : Pro 1500 | Sierra Star | 80/120/180/240/360/ | 20nm MLC | SATA 6 Gbit/s | M.2/2.5" | SandForce | 540/490 | 41/80 | Sept 2013
row 20 : Model | Codename | Capacities (GB) | NAND type | Interface | Form factor | Controller | Seq. read/write MB/s | Rnd 4KB read/write IOPS | Introduced [/Table] Answer this question based on the above table: Which controller is NAND type 25nm mlc-het with sequential read/write MB/s of 270/210?

Answer: Intel