sail/symbolic-instruction-tuning huggingface dataset:
[Table] header: Name | Years | Gender | Area | Authority | Decile row 1 : Ashgrove School | 1–8 | Coed | Rangiora | State | 9
row 2 : Ashley School | 1–8 | Coed | Ashley | State | 9
row 3 : Clarkville School | 1–8 | Coed | Clarkville | State | 9
row 4 : Cust School | 1–8 | Coed | Cust | State | 10
row 5 : Fernside School | 1–8 | Coed | Fernside | State | 10
row 6 : Kaiapoi Borough School | 1–8 | Coed | Kaiapoi | State | 6
row 7 : Kaiapoi High School | 9–13 | Coed | Kaiapoi | State | 6
row 8 : Kaiapoi North School | 1–8 | Coed | Kaiapoi | State | 5
row 9 : Karanga Mai Young Parents College | – | – | Kaiapoi | State | 1
row 10 : Loburn School | 1–8 | Coed | Loburn | State | 10
row 11 : North Loburn School | 1–8 | Coed | Loburn | State | 9
row 12 : Ohoka School | 1–8 | Coed | Kaiapoi | State | 10
row 13 : Oxford Area School | 1–13 | Coed | Oxford | State | 7
row 14 : Rangiora Borough School | 1–8 | Coed | Rangiora | State | 7
row 15 : Rangiora High School | 9–13 | Coed | Rangiora | State | 8
row 16 : Rangiora New Life School | 1–13 | Coed | Southbrook | State integrated | 8
row 17 : Sefton School | 1–8 | Coed | Sefton | State | 7
row 18 : Southbrook School | 1–8 | Coed | Southbrook | State | 7
row 19 : St Joseph's School | 1–8 | Coed | Rangiora | State integrated | 9
row 20 : St Patrick's School | 1–8 | Coed | Kaiapoi | State integrated | 8
row 21 : Swannanoa School | 1–8 | Coed | Swannanoa | State | 10
row 22 : Tuahiwi School | 1–8 | Coed | Kaiapoi | State | 7
row 23 : View Hill School | 1–8 | Coed | Oxford | State | 7
row 24 : Waikuku School | 1–8 | Coed | Waikuku | State | 7
row 25 : West Eyreton School | 1–8 | Coed | West Eyreton | State | 10
row 26 : Woodend School | 1–8 | Coed | Woodend | State | 9 [/Table] Answer this question based on the above table: What Gender has the area of swannanoa?

Answer: Coed
[Table] header: Name | Years | Gender | Area | Authority | Decile row 1 : Ashgrove School | 1–8 | Coed | Rangiora | State | 9
row 2 : Ashley School | 1–8 | Coed | Ashley | State | 9
row 3 : Clarkville School | 1–8 | Coed | Clarkville | State | 9
row 4 : Cust School | 1–8 | Coed | Cust | State | 10
row 5 : Fernside School | 1–8 | Coed | Fernside | State | 10
row 6 : Kaiapoi Borough School | 1–8 | Coed | Kaiapoi | State | 6
row 7 : Kaiapoi High School | 9–13 | Coed | Kaiapoi | State | 6
row 8 : Kaiapoi North School | 1–8 | Coed | Kaiapoi | State | 5
row 9 : Karanga Mai Young Parents College | – | – | Kaiapoi | State | 1
row 10 : Loburn School | 1–8 | Coed | Loburn | State | 10
row 11 : North Loburn School | 1–8 | Coed | Loburn | State | 9
row 12 : Ohoka School | 1–8 | Coed | Kaiapoi | State | 10
row 13 : Oxford Area School | 1–13 | Coed | Oxford | State | 7
row 14 : Rangiora Borough School | 1–8 | Coed | Rangiora | State | 7
row 15 : Rangiora High School | 9–13 | Coed | Rangiora | State | 8
row 16 : Rangiora New Life School | 1–13 | Coed | Southbrook | State integrated | 8
row 17 : Sefton School | 1–8 | Coed | Sefton | State | 7
row 18 : Southbrook School | 1–8 | Coed | Southbrook | State | 7
row 19 : St Joseph's School | 1–8 | Coed | Rangiora | State integrated | 9
row 20 : St Patrick's School | 1–8 | Coed | Kaiapoi | State integrated | 8
row 21 : Swannanoa School | 1–8 | Coed | Swannanoa | State | 10
row 22 : Tuahiwi School | 1–8 | Coed | Kaiapoi | State | 7
row 23 : View Hill School | 1–8 | Coed | Oxford | State | 7
row 24 : Waikuku School | 1–8 | Coed | Waikuku | State | 7
row 25 : West Eyreton School | 1–8 | Coed | West Eyreton | State | 10
row 26 : Woodend School | 1–8 | Coed | Woodend | State | 9 [/Table] Answer this question based on the above table: What years had the decile smaller than 8 in the area of southbrook?

Answer: 1–8
[Table] header: Club | Played | Drawn | Lost | Points for | Points against | Tries for | Tries against | Try bonus row 1 : Club | Played | Drawn | Lost | Points for | Points against | Tries for | Tries against | Try bonus
row 2 : Felinfoel RFC | 22 | 0 | 0 | 662 | 266 | 83 | 32 | 10
row 3 : Carmarthen Athletic RFC | 22 | 1 | 3 | 606 | 263 | 81 | 28 | 11
row 4 : Loughor RFC | 22 | 0 | 6 | 546 | 365 | 70 | 41 | 8
row 5 : Mumbles RFC | 22 | 1 | 8 | 515 | 416 | 68 | 51 | 10
row 6 : Pencoed RFC | 22 | 1 | 8 | 585 | 329 | 78 | 33 | 9
row 7 : Kidwelly RFC | 22 | 0 | 11 | 474 | 400 | 54 | 54 | 7
row 8 : Cwmavon RFC | 22 | 1 | 10 | 352 | 364 | 47 | 46 | 4
row 9 : Penclawdd RFC | 22 | 0 | 13 | 394 | 429 | 47 | 55 | 4
row 10 : Gorseinon RFC | 22 | 0 | 14 | 401 | 437 | 53 | 56 | 5
row 11 : Pontyberem RFC | 22 | 0 | 16 | 289 | 435 | 35 | 58 | 2
row 12 : Tumble RFC | 22 | 1 | 20 | 291 | 721 | 35 | 102 | 2
row 13 : Nantymoel RFC | 22 | 1 | 20 | 160 | 850 | 22 | 117 | 0
row 14 : Correct as of 2008-05-27 | Correct as of 2008-05-27 | Correct as of 2008-05-27 | Correct as of 2008-05-27 | Correct as of 2008-05-27 | Correct as of 2008-05-27 | Correct as of 2008-05-27 | Correct as of 2008-05-27 | Correct as of 2008-05-27 [/Table] Answer this question based on the above table: For a Lost of 10 and a Try Bonus of 4, what are the points against them?

Answer: 364.0
[Table] header: Club | Played | Drawn | Lost | Points for | Points against | Tries for | Tries against | Try bonus row 1 : Club | Played | Drawn | Lost | Points for | Points against | Tries for | Tries against | Try bonus
row 2 : Felinfoel RFC | 22 | 0 | 0 | 662 | 266 | 83 | 32 | 10
row 3 : Carmarthen Athletic RFC | 22 | 1 | 3 | 606 | 263 | 81 | 28 | 11
row 4 : Loughor RFC | 22 | 0 | 6 | 546 | 365 | 70 | 41 | 8
row 5 : Mumbles RFC | 22 | 1 | 8 | 515 | 416 | 68 | 51 | 10
row 6 : Pencoed RFC | 22 | 1 | 8 | 585 | 329 | 78 | 33 | 9
row 7 : Kidwelly RFC | 22 | 0 | 11 | 474 | 400 | 54 | 54 | 7
row 8 : Cwmavon RFC | 22 | 1 | 10 | 352 | 364 | 47 | 46 | 4
row 9 : Penclawdd RFC | 22 | 0 | 13 | 394 | 429 | 47 | 55 | 4
row 10 : Gorseinon RFC | 22 | 0 | 14 | 401 | 437 | 53 | 56 | 5
row 11 : Pontyberem RFC | 22 | 0 | 16 | 289 | 435 | 35 | 58 | 2
row 12 : Tumble RFC | 22 | 1 | 20 | 291 | 721 | 35 | 102 | 2
row 13 : Nantymoel RFC | 22 | 1 | 20 | 160 | 850 | 22 | 117 | 0
row 14 : Correct as of 2008-05-27 | Correct as of 2008-05-27 | Correct as of 2008-05-27 | Correct as of 2008-05-27 | Correct as of 2008-05-27 | Correct as of 2008-05-27 | Correct as of 2008-05-27 | Correct as of 2008-05-27 | Correct as of 2008-05-27 [/Table] Answer this question based on the above table: Having 429 points against, what is the Tries Against?

Answer: 55.0
[Table] header: Club | Played | Drawn | Lost | Points for | Points against | Tries for | Tries against | Try bonus row 1 : Club | Played | Drawn | Lost | Points for | Points against | Tries for | Tries against | Try bonus
row 2 : Felinfoel RFC | 22 | 0 | 0 | 662 | 266 | 83 | 32 | 10
row 3 : Carmarthen Athletic RFC | 22 | 1 | 3 | 606 | 263 | 81 | 28 | 11
row 4 : Loughor RFC | 22 | 0 | 6 | 546 | 365 | 70 | 41 | 8
row 5 : Mumbles RFC | 22 | 1 | 8 | 515 | 416 | 68 | 51 | 10
row 6 : Pencoed RFC | 22 | 1 | 8 | 585 | 329 | 78 | 33 | 9
row 7 : Kidwelly RFC | 22 | 0 | 11 | 474 | 400 | 54 | 54 | 7
row 8 : Cwmavon RFC | 22 | 1 | 10 | 352 | 364 | 47 | 46 | 4
row 9 : Penclawdd RFC | 22 | 0 | 13 | 394 | 429 | 47 | 55 | 4
row 10 : Gorseinon RFC | 22 | 0 | 14 | 401 | 437 | 53 | 56 | 5
row 11 : Pontyberem RFC | 22 | 0 | 16 | 289 | 435 | 35 | 58 | 2
row 12 : Tumble RFC | 22 | 1 | 20 | 291 | 721 | 35 | 102 | 2
row 13 : Nantymoel RFC | 22 | 1 | 20 | 160 | 850 | 22 | 117 | 0
row 14 : Correct as of 2008-05-27 | Correct as of 2008-05-27 | Correct as of 2008-05-27 | Correct as of 2008-05-27 | Correct as of 2008-05-27 | Correct as of 2008-05-27 | Correct as of 2008-05-27 | Correct as of 2008-05-27 | Correct as of 2008-05-27 [/Table] Answer this question based on the above table: With a Try Bonus of 8, what is the Tries Against?

Answer: 41.0
[Table] header: Club | Played | Drawn | Lost | Points for | Points against | Tries for | Tries against | Try bonus row 1 : Club | Played | Drawn | Lost | Points for | Points against | Tries for | Tries against | Try bonus
row 2 : Felinfoel RFC | 22 | 0 | 0 | 662 | 266 | 83 | 32 | 10
row 3 : Carmarthen Athletic RFC | 22 | 1 | 3 | 606 | 263 | 81 | 28 | 11
row 4 : Loughor RFC | 22 | 0 | 6 | 546 | 365 | 70 | 41 | 8
row 5 : Mumbles RFC | 22 | 1 | 8 | 515 | 416 | 68 | 51 | 10
row 6 : Pencoed RFC | 22 | 1 | 8 | 585 | 329 | 78 | 33 | 9
row 7 : Kidwelly RFC | 22 | 0 | 11 | 474 | 400 | 54 | 54 | 7
row 8 : Cwmavon RFC | 22 | 1 | 10 | 352 | 364 | 47 | 46 | 4
row 9 : Penclawdd RFC | 22 | 0 | 13 | 394 | 429 | 47 | 55 | 4
row 10 : Gorseinon RFC | 22 | 0 | 14 | 401 | 437 | 53 | 56 | 5
row 11 : Pontyberem RFC | 22 | 0 | 16 | 289 | 435 | 35 | 58 | 2
row 12 : Tumble RFC | 22 | 1 | 20 | 291 | 721 | 35 | 102 | 2
row 13 : Nantymoel RFC | 22 | 1 | 20 | 160 | 850 | 22 | 117 | 0
row 14 : Correct as of 2008-05-27 | Correct as of 2008-05-27 | Correct as of 2008-05-27 | Correct as of 2008-05-27 | Correct as of 2008-05-27 | Correct as of 2008-05-27 | Correct as of 2008-05-27 | Correct as of 2008-05-27 | Correct as of 2008-05-27 [/Table] Answer this question based on the above table: What club has a Try Bonus of 8?

Answer: Loughor RFC
[Table] header: Club | Played | Drawn | Lost | Points for | Points against | Tries for | Tries against | Try bonus row 1 : Club | Played | Drawn | Lost | Points for | Points against | Tries for | Tries against | Try bonus
row 2 : Felinfoel RFC | 22 | 0 | 0 | 662 | 266 | 83 | 32 | 10
row 3 : Carmarthen Athletic RFC | 22 | 1 | 3 | 606 | 263 | 81 | 28 | 11
row 4 : Loughor RFC | 22 | 0 | 6 | 546 | 365 | 70 | 41 | 8
row 5 : Mumbles RFC | 22 | 1 | 8 | 515 | 416 | 68 | 51 | 10
row 6 : Pencoed RFC | 22 | 1 | 8 | 585 | 329 | 78 | 33 | 9
row 7 : Kidwelly RFC | 22 | 0 | 11 | 474 | 400 | 54 | 54 | 7
row 8 : Cwmavon RFC | 22 | 1 | 10 | 352 | 364 | 47 | 46 | 4
row 9 : Penclawdd RFC | 22 | 0 | 13 | 394 | 429 | 47 | 55 | 4
row 10 : Gorseinon RFC | 22 | 0 | 14 | 401 | 437 | 53 | 56 | 5
row 11 : Pontyberem RFC | 22 | 0 | 16 | 289 | 435 | 35 | 58 | 2
row 12 : Tumble RFC | 22 | 1 | 20 | 291 | 721 | 35 | 102 | 2
row 13 : Nantymoel RFC | 22 | 1 | 20 | 160 | 850 | 22 | 117 | 0
row 14 : Correct as of 2008-05-27 | Correct as of 2008-05-27 | Correct as of 2008-05-27 | Correct as of 2008-05-27 | Correct as of 2008-05-27 | Correct as of 2008-05-27 | Correct as of 2008-05-27 | Correct as of 2008-05-27 | Correct as of 2008-05-27 [/Table] Answer this question based on the above table: For Pontyberem RFC that has a Try Bonus of 2, what is the played?

Answer: 22.0
[Table] header: Club | Played | Drawn | Lost | Points for | Points against | Tries for | Tries against | Try bonus row 1 : Club | Played | Drawn | Lost | Points for | Points against | Tries for | Tries against | Try bonus
row 2 : Felinfoel RFC | 22 | 0 | 0 | 662 | 266 | 83 | 32 | 10
row 3 : Carmarthen Athletic RFC | 22 | 1 | 3 | 606 | 263 | 81 | 28 | 11
row 4 : Loughor RFC | 22 | 0 | 6 | 546 | 365 | 70 | 41 | 8
row 5 : Mumbles RFC | 22 | 1 | 8 | 515 | 416 | 68 | 51 | 10
row 6 : Pencoed RFC | 22 | 1 | 8 | 585 | 329 | 78 | 33 | 9
row 7 : Kidwelly RFC | 22 | 0 | 11 | 474 | 400 | 54 | 54 | 7
row 8 : Cwmavon RFC | 22 | 1 | 10 | 352 | 364 | 47 | 46 | 4
row 9 : Penclawdd RFC | 22 | 0 | 13 | 394 | 429 | 47 | 55 | 4
row 10 : Gorseinon RFC | 22 | 0 | 14 | 401 | 437 | 53 | 56 | 5
row 11 : Pontyberem RFC | 22 | 0 | 16 | 289 | 435 | 35 | 58 | 2
row 12 : Tumble RFC | 22 | 1 | 20 | 291 | 721 | 35 | 102 | 2
row 13 : Nantymoel RFC | 22 | 1 | 20 | 160 | 850 | 22 | 117 | 0
row 14 : Correct as of 2008-05-27 | Correct as of 2008-05-27 | Correct as of 2008-05-27 | Correct as of 2008-05-27 | Correct as of 2008-05-27 | Correct as of 2008-05-27 | Correct as of 2008-05-27 | Correct as of 2008-05-27 | Correct as of 2008-05-27 [/Table] Answer this question based on the above table: With a club that has 400 Points against, what are the points?

Answer: 474.0
[Table] header: Sanskrit | Pali | Burmese | Khmer | Sinhala | Thai | # of days | ~Gregorian row 1 : Caitra | Citta | Tagu ( တန်ခူး ) | ចេត្រ | Bak | Deuan Ha (เดือน ๕) | 29 | March–April
row 2 : Vaisākha | Visakha | Kason ( ကဆုန် ) | ពិសាខ | Vesak | Deuan Hok (เดือน ๖) | 30 | April–May
row 3 : Jyaiṣṭha | Jeṭṭha | Nayon ( နယုန် ) | ជេស្ឋ | Poson | Deuan Chet (เดือน ๗) | 29 [30] | May–June
row 4 : Āṣāḍha | Āsāḷha | Waso ( ဝါဆို ) | អាសាធ | Æsala | Deuan Paet (เดือน ๘ | 30 | June–July
row 5 : Śrāvaṇa | Sāvaṇa | Wagaung ( ဝါခေါင် ) | ស្រាពណ៍ | Nikini | Deuan Kao (เดือน ๙) | 29 | July–August
row 6 : Bhādrapada | Poṭṭhapāda | Tawthalin ( တော်သလင်း ) | ភទ្របទ | Binara | Deuan Sip (เดือน ๑๐) | 30 | August–September
row 7 : Āśvina | Assayuja | Thadingyut ( သီတင်းကျွတ်  | អស្សុជ | Wap | Deuan Sip Et (เดือน ๑๑ | 29 | September–October
row 8 : Kārttika | Kattikā | Tazaungmon ( တန်ဆောင်မုန်း ) | កក្ដិក | Il | Deuan Sip Song (เดือน ๑๒ | 30 | October–November
row 9 : Mārgaśirṣa | Māgasira | Nadaw ( နတ်တော် ) | មិគសិរ | Undhuvap | Deuan Aai (เดือนอ้าย) | 29 | November–December
row 10 : Pauṣa | Phussa | Pyatho ( ပြာသို ) | បុស្ស | Dhuruthu | Deuan Yi (เดือนยี่) | 30 | December–January
row 11 : Māgha | Māgha | Tabodwe ( တပို့တွဲ ) | មាឃ | Navam | Deuan Sam (เดือน ๓) | 29 | January–February
row 12 : Phālguna | Phagguṇa | Tabaung ( တပေါင်း ) | ផល្គុន | Mædhin | Deuan Si (เดือน ๔) | 30 | February–March [/Table] Answer this question based on the above table: What Thai has a ~Gregorian of April–May?

Answer: Deuan Hok (เดือน ๖)
[Table] header: Position | Club | Played | Wins | Draws | Losses | Goals for | Goals against | Points | Goal Difference row 1 : 1 | Levski | 30 | 24 | 5 | 1 | 96 | 13 | 77 | +83
row 2 : 2 | CSKA | 30 | 23 | 3 | 4 | 68 | 13 | 72 | +55
row 3 : 3 | Lokomotiv Sofia | 30 | 23 | 3 | 4 | 70 | 28 | 72 | +42
row 4 : 4 | Litex | 30 | 19 | 5 | 6 | 65 | 29 | 62 | +36
row 5 : 5 | Slavia | 30 | 14 | 7 | 9 | 47 | 35 | 49 | +12
row 6 : 6 | Cherno More | 30 | 14 | 5 | 11 | 37 | 29 | 47 | +8
row 7 : 7 | Lokomotiv Plovdiv | 30 | 13 | 4 | 13 | 47 | 43 | 43 | +4
row 8 : 8 | Belasitsa | 30 | 11 | 5 | 14 | 38 | 43 | 38 | -5
row 9 : 9 | Botev Plovdiv | 30 | 11 | 4 | 15 | 41 | 45 | 37 | -4
row 10 : 10 | Vihren | 30 | 11 | 4 | 15 | 27 | 39 | 37 | -12
row 11 : 11 | Beroe | 30 | 10 | 6 | 14 | 34 | 33 | 36 | +1
row 12 : 12 | Marek | 30 | 9 | 7 | 14 | 39 | 60 | 34 | -21
row 13 : 13 | Spartak Varna | 30 | 10 | 3 | 17 | 27 | 51 | 33 | -24
row 14 : 14 | Rilski sportist | 30 | 10 | 0 | 20 | 31 | 53 | 30 | -22
row 15 : 15 | Rodopa | 30 | 5 | 4 | 21 | 22 | 52 | 19 | -30
row 16 : 16 | Chernomorets Sf | 30 | 0 | 1 | 29 | 8 | 131 | -2 | -123 [/Table] Answer this question based on the above table: When goals against is greater than 60 and losses less than 29, what is the highest played?

Answer: none
[Table] header: Position | Club | Played | Wins | Draws | Losses | Goals for | Goals against | Points | Goal Difference row 1 : 1 | Levski | 30 | 24 | 5 | 1 | 96 | 13 | 77 | +83
row 2 : 2 | CSKA | 30 | 23 | 3 | 4 | 68 | 13 | 72 | +55
row 3 : 3 | Lokomotiv Sofia | 30 | 23 | 3 | 4 | 70 | 28 | 72 | +42
row 4 : 4 | Litex | 30 | 19 | 5 | 6 | 65 | 29 | 62 | +36
row 5 : 5 | Slavia | 30 | 14 | 7 | 9 | 47 | 35 | 49 | +12
row 6 : 6 | Cherno More | 30 | 14 | 5 | 11 | 37 | 29 | 47 | +8
row 7 : 7 | Lokomotiv Plovdiv | 30 | 13 | 4 | 13 | 47 | 43 | 43 | +4
row 8 : 8 | Belasitsa | 30 | 11 | 5 | 14 | 38 | 43 | 38 | -5
row 9 : 9 | Botev Plovdiv | 30 | 11 | 4 | 15 | 41 | 45 | 37 | -4
row 10 : 10 | Vihren | 30 | 11 | 4 | 15 | 27 | 39 | 37 | -12
row 11 : 11 | Beroe | 30 | 10 | 6 | 14 | 34 | 33 | 36 | +1
row 12 : 12 | Marek | 30 | 9 | 7 | 14 | 39 | 60 | 34 | -21
row 13 : 13 | Spartak Varna | 30 | 10 | 3 | 17 | 27 | 51 | 33 | -24
row 14 : 14 | Rilski sportist | 30 | 10 | 0 | 20 | 31 | 53 | 30 | -22
row 15 : 15 | Rodopa | 30 | 5 | 4 | 21 | 22 | 52 | 19 | -30
row 16 : 16 | Chernomorets Sf | 30 | 0 | 1 | 29 | 8 | 131 | -2 | -123 [/Table] Answer this question based on the above table: What club has less than 60 goals against, a goal difference smaller than 1, and a position of 8?

Answer: Belasitsa
[Table] header: Week | Opponent | Result | Game site | Attendance row 1 : 1 | at San Diego Chargers | L 14–21 | San Diego Stadium | 54,061
row 2 : 2 | at Houston Oilers | W 20–16 | Astrodome | 46,498
row 3 : 3 | at Denver Broncos | W 16–3 | Mile High Stadium | 51,200
row 4 : 4 | San Diego Chargers | W 31–10 | Municipal Stadium | 50,514
row 5 : 5 | Pittsburgh Steelers | W 38–16 | Municipal Stadium | 49,533
row 6 : 6 | Washington Redskins | W 27–20 | Municipal Stadium | 51,989
row 7 : 7 | at Oakland Raiders | T 20–20 | Oakland-Alameda County Colise | 54,715
row 8 : 8 | at New York Jets | L 13–10 | Shea Stadium | 62,812
row 9 : 9 | Cleveland Browns | W 20–14 | Municipal Stadium | 50,388
row 10 : 10 | Denver Broncos | W 28–10 | Municipal Stadium | 49,945
row 11 : 11 | at Detroit Lions | L 21–32 | Tiger Stadium | 54,418
row 12 : 12 | at San Francisco 49ers | W 26–17 | Candlestick Park | 45,306
row 13 : 13 | Oakland Raiders | W 16–14 | Municipal Stadium | 51,215
row 14 : 14 | Buffalo Bills | W 22–9 | Municipal Stadium | 48,121
row 15 : 1971 NFL playoffs | 1971 NFL playoffs | 1971 NFL playoffs | 1971 NFL playoffs | 1971 NFL playoffs
row 16 : Divisional Playoffs | Miami Dolphins | L 24–27 (2OT) | Municipal Stadium | 45,822 [/Table] Answer this question based on the above table: Where did they play in week 14?

Answer: Municipal Stadium
[Table] header: Week | Opponent | Result | Game site | Attendance row 1 : 1 | at San Diego Chargers | L 14–21 | San Diego Stadium | 54,061
row 2 : 2 | at Houston Oilers | W 20–16 | Astrodome | 46,498
row 3 : 3 | at Denver Broncos | W 16–3 | Mile High Stadium | 51,200
row 4 : 4 | San Diego Chargers | W 31–10 | Municipal Stadium | 50,514
row 5 : 5 | Pittsburgh Steelers | W 38–16 | Municipal Stadium | 49,533
row 6 : 6 | Washington Redskins | W 27–20 | Municipal Stadium | 51,989
row 7 : 7 | at Oakland Raiders | T 20–20 | Oakland-Alameda County Colise | 54,715
row 8 : 8 | at New York Jets | L 13–10 | Shea Stadium | 62,812
row 9 : 9 | Cleveland Browns | W 20–14 | Municipal Stadium | 50,388
row 10 : 10 | Denver Broncos | W 28–10 | Municipal Stadium | 49,945
row 11 : 11 | at Detroit Lions | L 21–32 | Tiger Stadium | 54,418
row 12 : 12 | at San Francisco 49ers | W 26–17 | Candlestick Park | 45,306
row 13 : 13 | Oakland Raiders | W 16–14 | Municipal Stadium | 51,215
row 14 : 14 | Buffalo Bills | W 22–9 | Municipal Stadium | 48,121
row 15 : 1971 NFL playoffs | 1971 NFL playoffs | 1971 NFL playoffs | 1971 NFL playoffs | 1971 NFL playoffs
row 16 : Divisional Playoffs | Miami Dolphins | L 24–27 (2OT) | Municipal Stadium | 45,822 [/Table] Answer this question based on the above table: Who was the opponent when 48,121 people attended?

Answer: Buffalo Bills
[Table] header: Week | Opponent | Result | Game site | Attendance row 1 : 1 | at San Diego Chargers | L 14–21 | San Diego Stadium | 54,061
row 2 : 2 | at Houston Oilers | W 20–16 | Astrodome | 46,498
row 3 : 3 | at Denver Broncos | W 16–3 | Mile High Stadium | 51,200
row 4 : 4 | San Diego Chargers | W 31–10 | Municipal Stadium | 50,514
row 5 : 5 | Pittsburgh Steelers | W 38–16 | Municipal Stadium | 49,533
row 6 : 6 | Washington Redskins | W 27–20 | Municipal Stadium | 51,989
row 7 : 7 | at Oakland Raiders | T 20–20 | Oakland-Alameda County Colise | 54,715
row 8 : 8 | at New York Jets | L 13–10 | Shea Stadium | 62,812
row 9 : 9 | Cleveland Browns | W 20–14 | Municipal Stadium | 50,388
row 10 : 10 | Denver Broncos | W 28–10 | Municipal Stadium | 49,945
row 11 : 11 | at Detroit Lions | L 21–32 | Tiger Stadium | 54,418
row 12 : 12 | at San Francisco 49ers | W 26–17 | Candlestick Park | 45,306
row 13 : 13 | Oakland Raiders | W 16–14 | Municipal Stadium | 51,215
row 14 : 14 | Buffalo Bills | W 22–9 | Municipal Stadium | 48,121
row 15 : 1971 NFL playoffs | 1971 NFL playoffs | 1971 NFL playoffs | 1971 NFL playoffs | 1971 NFL playoffs
row 16 : Divisional Playoffs | Miami Dolphins | L 24–27 (2OT) | Municipal Stadium | 45,822 [/Table] Answer this question based on the above table: What was the score when 50,514 people were in attendance?

Answer: W 31–10
[Table] header: Week | Opponent | Result | Game site | Attendance row 1 : 1 | at San Diego Chargers | L 14–21 | San Diego Stadium | 54,061
row 2 : 2 | at Houston Oilers | W 20–16 | Astrodome | 46,498
row 3 : 3 | at Denver Broncos | W 16–3 | Mile High Stadium | 51,200
row 4 : 4 | San Diego Chargers | W 31–10 | Municipal Stadium | 50,514
row 5 : 5 | Pittsburgh Steelers | W 38–16 | Municipal Stadium | 49,533
row 6 : 6 | Washington Redskins | W 27–20 | Municipal Stadium | 51,989
row 7 : 7 | at Oakland Raiders | T 20–20 | Oakland-Alameda County Colise | 54,715
row 8 : 8 | at New York Jets | L 13–10 | Shea Stadium | 62,812
row 9 : 9 | Cleveland Browns | W 20–14 | Municipal Stadium | 50,388
row 10 : 10 | Denver Broncos | W 28–10 | Municipal Stadium | 49,945
row 11 : 11 | at Detroit Lions | L 21–32 | Tiger Stadium | 54,418
row 12 : 12 | at San Francisco 49ers | W 26–17 | Candlestick Park | 45,306
row 13 : 13 | Oakland Raiders | W 16–14 | Municipal Stadium | 51,215
row 14 : 14 | Buffalo Bills | W 22–9 | Municipal Stadium | 48,121
row 15 : 1971 NFL playoffs | 1971 NFL playoffs | 1971 NFL playoffs | 1971 NFL playoffs | 1971 NFL playoffs
row 16 : Divisional Playoffs | Miami Dolphins | L 24–27 (2OT) | Municipal Stadium | 45,822 [/Table] Answer this question based on the above table: Where did they have the divisional playoffs?

Answer: Municipal Stadium
[Table] header: Week | Opponent | Result | Game site | Attendance row 1 : 1 | at San Diego Chargers | L 14–21 | San Diego Stadium | 54,061
row 2 : 2 | at Houston Oilers | W 20–16 | Astrodome | 46,498
row 3 : 3 | at Denver Broncos | W 16–3 | Mile High Stadium | 51,200
row 4 : 4 | San Diego Chargers | W 31–10 | Municipal Stadium | 50,514
row 5 : 5 | Pittsburgh Steelers | W 38–16 | Municipal Stadium | 49,533
row 6 : 6 | Washington Redskins | W 27–20 | Municipal Stadium | 51,989
row 7 : 7 | at Oakland Raiders | T 20–20 | Oakland-Alameda County Colise | 54,715
row 8 : 8 | at New York Jets | L 13–10 | Shea Stadium | 62,812
row 9 : 9 | Cleveland Browns | W 20–14 | Municipal Stadium | 50,388
row 10 : 10 | Denver Broncos | W 28–10 | Municipal Stadium | 49,945
row 11 : 11 | at Detroit Lions | L 21–32 | Tiger Stadium | 54,418
row 12 : 12 | at San Francisco 49ers | W 26–17 | Candlestick Park | 45,306
row 13 : 13 | Oakland Raiders | W 16–14 | Municipal Stadium | 51,215
row 14 : 14 | Buffalo Bills | W 22–9 | Municipal Stadium | 48,121
row 15 : 1971 NFL playoffs | 1971 NFL playoffs | 1971 NFL playoffs | 1971 NFL playoffs | 1971 NFL playoffs
row 16 : Divisional Playoffs | Miami Dolphins | L 24–27 (2OT) | Municipal Stadium | 45,822 [/Table] Answer this question based on the above table: What is the result when there was an attendance of 54,418?

Answer: L 21–32
[Table] header: Year active | Title | Role | Medium | Notes row 1 : 2005 | Arrested Development | Hope Loblaw | TV series | Guest appearance, 2 episodes
row 2 : 2007 | Bratz: The Movie | Yasmin | Film | Lead role
row 3 : 2008 | True Jackson, VP | Dakota North | TV series | Guest appearance, 1 episode
row 4 : 2009 | 31 North 62 East | Rachel | Film | Supporting role
row 5 : 2011 | Family BrainSurge | Herself | TV Gameshow | Guest star; 1 episode; partners with Jade
row 6 : 2011–2012 | House of Anubis | Nina Martin | TV series | Lead role (season 1-2), 150 episodes
row 7 : 2013 | I Dream of Dinner | Herself | TV series | Guest star; 1 episode
row 8 : 2013 | Gallows Hill | Jill | Film | Lead role
row 9 : 2013 | Dean Slaters: Resident Advisor | Hanna | Film | Lead role [/Table] Answer this question based on the above table: What year was the role of Rachel active in TV?

Answer: 2009.0
[Table] header: Urban area | Population 1.1.2009 | Population 1.1.2008 | Population 1.1.2007 | Population 1.1.2006 | Population per square km row 1 : Oslo | 876.391 | 856.915 | 839.423 | 825.105 | 3.009
row 2 : Bergen | 227.752 | 223.593 | 220.418 | 218.032 | 2.387
row 3 : Stavanger | 189.828 | 185.913 | 181.280 | 177.337 | 2.387
row 4 : Trondheim | 160.072 | 156.794 | 152.845 | 150.049 | 2.509
row 5 : Fredrikstad/Sarpsborg | 101.698 | 100.458 | 99.227 | 98.152 | 1.533
row 6 : Drammen | 96.563 | 94.901 | 93.006 | 91.584 | 1.915
row 7 : Porsgrunn/Skien | 86.923 | 86.342 | 85.812 | 85.408 | 1.493
row 8 : Kristiansand | 67.547 | 66.532 | 65.636 | 64.930 | 2.082
row 9 : Tromsø | 55.057 | 54.070 | 53.622 | 53.042 | 2.418
row 10 : Tønsberg | 47.465 | 46.862 | 46.091 | 45.447 | 1.518
row 11 : Ålesund | 46.471 | 45.902 | 45.299 | 44.706 | 1.533
row 12 : Haugesund | 42.850 | 42.112 | 41.183 | 40.685 | 1.792
row 13 : Moss | 41.725 | 40.309 | 40.217 | 34.684 | 1.864
row 14 : Sandefjord | 40.817 | 40.596 | 40.211 | 39.849 | 1.493
row 15 : Bodø | 36.482 | 36.073 | 35.618 | 35.106 | 2.419
row 16 : Arendal | 32.439 | 32.103 | 31.442 | 31.182 | 1.222
row 17 : Hamar | 30.015 | 29.808 | 29.479 | 29.077 | 1.656
row 18 : Larvik | 23.899 | 23.577 | 23.359 | 23.164 | 1.627
row 19 : Halden | 22.986 | 22.688 | 22.339 | 22.184 | 1.607
row 20 : Lillehammer | 20.097 | 19.922 | 19.638 | 19.422 | 1.545
row 21 : Harstad | 19.519 | 19.470 | 19.573 | 19.528 | 1.676
row 22 : Molde | 19.353 | 19.217 | 18.631 | 18.579 | 1.806
row 23 : Kongsberg | 18.809 | 18.565 | 18.136 | 17.914 | 1.448
row 24 : Gjøvik | 18.707 | 18.424 | 17.987 | 17.897 | 1.428
row 25 : Askøy | 18.326 | 18.054 | 17.754 | 17.480 | 1.202
row 26 : Horten | 18.211 | 17.966 | 17.940 | 17.723 | 2.099
row 27 : Mo i Rana | 17.894 | 17.750 | 17.830 | 17.942 | 1.391
row 28 : Kristiansund | 17.002 | 16.854 | 16.820 | 16.829 | 2.155
row 29 : Jessheim | 15.349 | 14.632 | 13.385 | 13.038 | 1.701
row 30 : Hønefoss | 14.292 | 14.177 | 13.930 | 13.811 | 1.380
row 31 : Narvik | 13 927 | 13.958 | 13.944 | 13.950 | 2.065
row 32 : Alta | 13.583 | 13.344 | 13.128 | 12.530 | 1.349
row 33 : Elverum | 13.541 | 13.295 | 13.051 | 12.757 | 1.088
row 34 : Askim | 13.137 | 12.884 | 12.696 | 12.570 | 1.654
row 35 : Ski | 12.876 | 12.934 | 12.687 | 12.670 | 1.957
row 36 : Drøbak | 12.420 | 12.239 | 11.853 | 11.514 | 1.764
row 37 : Nesoddtangen | 11.599 | 11.420 | 11.285 | 11.083 | 1.655
row 38 : Steinkjer | 11.538 | 11.443 | 11.338 | 11.137 | 1.327
row 39 : Leirvik | 11.424 | 11.342 | 11.237 | 11.143 | 1.341
row 40 : Vennesla | 11.409 | 11.289 | 11.057 | 11.009 | 1.331
row 41 : Kongsvinger | 11.360 | 11.394 | 11 181 | 11.125 | 1.358
row 42 : shalsen Stjørd | 10.779 | 10.638 | 10.494 | 10.227 | 1.461
row 43 : Grimstad | 10.668 | 10.454 | 10.133 | 9.973 | 1.071
row 44 : Mandal | 10.494 | 10.512 | 10.372 | 10.281 | 1.553
row 45 : Egersund | 10.397 | 10.226 | 9.707 | 9.528 | 1.587 [/Table] Answer this question based on the above table: Name the sum of population 1.1.2008 for tønsberg and population 1.1.2006 more than 45.447

Answer: none
[Table] header: Urban area | Population 1.1.2009 | Population 1.1.2008 | Population 1.1.2007 | Population 1.1.2006 | Population per square km row 1 : Oslo | 876.391 | 856.915 | 839.423 | 825.105 | 3.009
row 2 : Bergen | 227.752 | 223.593 | 220.418 | 218.032 | 2.387
row 3 : Stavanger | 189.828 | 185.913 | 181.280 | 177.337 | 2.387
row 4 : Trondheim | 160.072 | 156.794 | 152.845 | 150.049 | 2.509
row 5 : Fredrikstad/Sarpsborg | 101.698 | 100.458 | 99.227 | 98.152 | 1.533
row 6 : Drammen | 96.563 | 94.901 | 93.006 | 91.584 | 1.915
row 7 : Porsgrunn/Skien | 86.923 | 86.342 | 85.812 | 85.408 | 1.493
row 8 : Kristiansand | 67.547 | 66.532 | 65.636 | 64.930 | 2.082
row 9 : Tromsø | 55.057 | 54.070 | 53.622 | 53.042 | 2.418
row 10 : Tønsberg | 47.465 | 46.862 | 46.091 | 45.447 | 1.518
row 11 : Ålesund | 46.471 | 45.902 | 45.299 | 44.706 | 1.533
row 12 : Haugesund | 42.850 | 42.112 | 41.183 | 40.685 | 1.792
row 13 : Moss | 41.725 | 40.309 | 40.217 | 34.684 | 1.864
row 14 : Sandefjord | 40.817 | 40.596 | 40.211 | 39.849 | 1.493
row 15 : Bodø | 36.482 | 36.073 | 35.618 | 35.106 | 2.419
row 16 : Arendal | 32.439 | 32.103 | 31.442 | 31.182 | 1.222
row 17 : Hamar | 30.015 | 29.808 | 29.479 | 29.077 | 1.656
row 18 : Larvik | 23.899 | 23.577 | 23.359 | 23.164 | 1.627
row 19 : Halden | 22.986 | 22.688 | 22.339 | 22.184 | 1.607
row 20 : Lillehammer | 20.097 | 19.922 | 19.638 | 19.422 | 1.545
row 21 : Harstad | 19.519 | 19.470 | 19.573 | 19.528 | 1.676
row 22 : Molde | 19.353 | 19.217 | 18.631 | 18.579 | 1.806
row 23 : Kongsberg | 18.809 | 18.565 | 18.136 | 17.914 | 1.448
row 24 : Gjøvik | 18.707 | 18.424 | 17.987 | 17.897 | 1.428
row 25 : Askøy | 18.326 | 18.054 | 17.754 | 17.480 | 1.202
row 26 : Horten | 18.211 | 17.966 | 17.940 | 17.723 | 2.099
row 27 : Mo i Rana | 17.894 | 17.750 | 17.830 | 17.942 | 1.391
row 28 : Kristiansund | 17.002 | 16.854 | 16.820 | 16.829 | 2.155
row 29 : Jessheim | 15.349 | 14.632 | 13.385 | 13.038 | 1.701
row 30 : Hønefoss | 14.292 | 14.177 | 13.930 | 13.811 | 1.380
row 31 : Narvik | 13 927 | 13.958 | 13.944 | 13.950 | 2.065
row 32 : Alta | 13.583 | 13.344 | 13.128 | 12.530 | 1.349
row 33 : Elverum | 13.541 | 13.295 | 13.051 | 12.757 | 1.088
row 34 : Askim | 13.137 | 12.884 | 12.696 | 12.570 | 1.654
row 35 : Ski | 12.876 | 12.934 | 12.687 | 12.670 | 1.957
row 36 : Drøbak | 12.420 | 12.239 | 11.853 | 11.514 | 1.764
row 37 : Nesoddtangen | 11.599 | 11.420 | 11.285 | 11.083 | 1.655
row 38 : Steinkjer | 11.538 | 11.443 | 11.338 | 11.137 | 1.327
row 39 : Leirvik | 11.424 | 11.342 | 11.237 | 11.143 | 1.341
row 40 : Vennesla | 11.409 | 11.289 | 11.057 | 11.009 | 1.331
row 41 : Kongsvinger | 11.360 | 11.394 | 11 181 | 11.125 | 1.358
row 42 : shalsen Stjørd | 10.779 | 10.638 | 10.494 | 10.227 | 1.461
row 43 : Grimstad | 10.668 | 10.454 | 10.133 | 9.973 | 1.071
row 44 : Mandal | 10.494 | 10.512 | 10.372 | 10.281 | 1.553
row 45 : Egersund | 10.397 | 10.226 | 9.707 | 9.528 | 1.587 [/Table] Answer this question based on the above table: Name the least population 1.1.2008 with population per square km of 1.957 and population 1.1.2006 less than 12.67

Answer: none
[Table] header: Urban area | Population 1.1.2009 | Population 1.1.2008 | Population 1.1.2007 | Population 1.1.2006 | Population per square km row 1 : Oslo | 876.391 | 856.915 | 839.423 | 825.105 | 3.009
row 2 : Bergen | 227.752 | 223.593 | 220.418 | 218.032 | 2.387
row 3 : Stavanger | 189.828 | 185.913 | 181.280 | 177.337 | 2.387
row 4 : Trondheim | 160.072 | 156.794 | 152.845 | 150.049 | 2.509
row 5 : Fredrikstad/Sarpsborg | 101.698 | 100.458 | 99.227 | 98.152 | 1.533
row 6 : Drammen | 96.563 | 94.901 | 93.006 | 91.584 | 1.915
row 7 : Porsgrunn/Skien | 86.923 | 86.342 | 85.812 | 85.408 | 1.493
row 8 : Kristiansand | 67.547 | 66.532 | 65.636 | 64.930 | 2.082
row 9 : Tromsø | 55.057 | 54.070 | 53.622 | 53.042 | 2.418
row 10 : Tønsberg | 47.465 | 46.862 | 46.091 | 45.447 | 1.518
row 11 : Ålesund | 46.471 | 45.902 | 45.299 | 44.706 | 1.533
row 12 : Haugesund | 42.850 | 42.112 | 41.183 | 40.685 | 1.792
row 13 : Moss | 41.725 | 40.309 | 40.217 | 34.684 | 1.864
row 14 : Sandefjord | 40.817 | 40.596 | 40.211 | 39.849 | 1.493
row 15 : Bodø | 36.482 | 36.073 | 35.618 | 35.106 | 2.419
row 16 : Arendal | 32.439 | 32.103 | 31.442 | 31.182 | 1.222
row 17 : Hamar | 30.015 | 29.808 | 29.479 | 29.077 | 1.656
row 18 : Larvik | 23.899 | 23.577 | 23.359 | 23.164 | 1.627
row 19 : Halden | 22.986 | 22.688 | 22.339 | 22.184 | 1.607
row 20 : Lillehammer | 20.097 | 19.922 | 19.638 | 19.422 | 1.545
row 21 : Harstad | 19.519 | 19.470 | 19.573 | 19.528 | 1.676
row 22 : Molde | 19.353 | 19.217 | 18.631 | 18.579 | 1.806
row 23 : Kongsberg | 18.809 | 18.565 | 18.136 | 17.914 | 1.448
row 24 : Gjøvik | 18.707 | 18.424 | 17.987 | 17.897 | 1.428
row 25 : Askøy | 18.326 | 18.054 | 17.754 | 17.480 | 1.202
row 26 : Horten | 18.211 | 17.966 | 17.940 | 17.723 | 2.099
row 27 : Mo i Rana | 17.894 | 17.750 | 17.830 | 17.942 | 1.391
row 28 : Kristiansund | 17.002 | 16.854 | 16.820 | 16.829 | 2.155
row 29 : Jessheim | 15.349 | 14.632 | 13.385 | 13.038 | 1.701
row 30 : Hønefoss | 14.292 | 14.177 | 13.930 | 13.811 | 1.380
row 31 : Narvik | 13 927 | 13.958 | 13.944 | 13.950 | 2.065
row 32 : Alta | 13.583 | 13.344 | 13.128 | 12.530 | 1.349
row 33 : Elverum | 13.541 | 13.295 | 13.051 | 12.757 | 1.088
row 34 : Askim | 13.137 | 12.884 | 12.696 | 12.570 | 1.654
row 35 : Ski | 12.876 | 12.934 | 12.687 | 12.670 | 1.957
row 36 : Drøbak | 12.420 | 12.239 | 11.853 | 11.514 | 1.764
row 37 : Nesoddtangen | 11.599 | 11.420 | 11.285 | 11.083 | 1.655
row 38 : Steinkjer | 11.538 | 11.443 | 11.338 | 11.137 | 1.327
row 39 : Leirvik | 11.424 | 11.342 | 11.237 | 11.143 | 1.341
row 40 : Vennesla | 11.409 | 11.289 | 11.057 | 11.009 | 1.331
row 41 : Kongsvinger | 11.360 | 11.394 | 11 181 | 11.125 | 1.358
row 42 : shalsen Stjørd | 10.779 | 10.638 | 10.494 | 10.227 | 1.461
row 43 : Grimstad | 10.668 | 10.454 | 10.133 | 9.973 | 1.071
row 44 : Mandal | 10.494 | 10.512 | 10.372 | 10.281 | 1.553
row 45 : Egersund | 10.397 | 10.226 | 9.707 | 9.528 | 1.587 [/Table] Answer this question based on the above table: Name the total number of population per square km with population 1.12006 of 12.757

Answer: 1.0
[Table] header: Year | Entrant | Chassis | Engine | Points row 1 : 1957 | J B Naylor | Cooper T43 F2 | Climax Straight-4 | 0
row 2 : 1958 | J B Naylor | Cooper T45 F2 | Climax Straight-4 | 0
row 3 : 1959 | J B Naylor | JBW | Maserati Straight-4 | 0
row 4 : 1960 | J B Naylor | JBW | Maserati Straight-4 | 0
row 5 : 1961 | J B Naylor | JBW | Climax Straight-4 | 0 [/Table] Answer this question based on the above table: What is the average Points when the engine was a climax straight-4 earlier than 1958?

Answer: 0.0
[Table] header: Year | Entrant | Chassis | Engine | Points row 1 : 1957 | J B Naylor | Cooper T43 F2 | Climax Straight-4 | 0
row 2 : 1958 | J B Naylor | Cooper T45 F2 | Climax Straight-4 | 0
row 3 : 1959 | J B Naylor | JBW | Maserati Straight-4 | 0
row 4 : 1960 | J B Naylor | JBW | Maserati Straight-4 | 0
row 5 : 1961 | J B Naylor | JBW | Climax Straight-4 | 0 [/Table] Answer this question based on the above table: What is the number of points for the maserati straight-4 engine, later than 1959?

Answer: 1.0
[Table] header: Year | Entrant | Chassis | Engine | Points row 1 : 1957 | J B Naylor | Cooper T43 F2 | Climax Straight-4 | 0
row 2 : 1958 | J B Naylor | Cooper T45 F2 | Climax Straight-4 | 0
row 3 : 1959 | J B Naylor | JBW | Maserati Straight-4 | 0
row 4 : 1960 | J B Naylor | JBW | Maserati Straight-4 | 0
row 5 : 1961 | J B Naylor | JBW | Climax Straight-4 | 0 [/Table] Answer this question based on the above table: What engine had a JBW chassis in 1960?

Answer: Maserati Straight-4
[Table] header: Year | Entrant | Chassis | Engine | Points row 1 : 1957 | J B Naylor | Cooper T43 F2 | Climax Straight-4 | 0
row 2 : 1958 | J B Naylor | Cooper T45 F2 | Climax Straight-4 | 0
row 3 : 1959 | J B Naylor | JBW | Maserati Straight-4 | 0
row 4 : 1960 | J B Naylor | JBW | Maserati Straight-4 | 0
row 5 : 1961 | J B Naylor | JBW | Climax Straight-4 | 0 [/Table] Answer this question based on the above table: What is the highest points for the JBW chassis with a climax straight-4 engine, later than 1961?

Answer: none
[Table] header: Year | Entrant | Chassis | Engine | Points row 1 : 1957 | J B Naylor | Cooper T43 F2 | Climax Straight-4 | 0
row 2 : 1958 | J B Naylor | Cooper T45 F2 | Climax Straight-4 | 0
row 3 : 1959 | J B Naylor | JBW | Maserati Straight-4 | 0
row 4 : 1960 | J B Naylor | JBW | Maserati Straight-4 | 0
row 5 : 1961 | J B Naylor | JBW | Climax Straight-4 | 0 [/Table] Answer this question based on the above table: What is the name of the engine in 1961?

Answer: Climax Straight-4
[Table] header: Date | Opponent | Score | Loss | Attendance | Record row 1 : August 1 | @ Angels | 5 - 0 | Halladay (15-3) | 42,635 | 54-55
row 2 : August 2 | @ Angels | 6 - 1 | Washburn (8-11) | 43,087 | 55-55
row 3 : August 3 | @ Angels | 4 - 0 | Shields (2-2) | 42,198 | 56-55
row 4 : August 4 | @ Devil Rays | 10 - 1 | Lidle (11-10) | 8,193 | 56-56
row 5 : August 5 | @ Devil Rays | 5 - 4 (10) | Acevedo (1-5) | 9,566 | 56-57
row 6 : August 6 | @ Devil Rays | 7 - 3 | Kennedy (3-9) | 9,430 | 57-57
row 7 : August 8 | Rangers | 5 - 3 | Thurman (1-1) | 24,392 | 57-58
row 8 : August 9 | Rangers | 5 - 3 | Fultz (1-3) | 24,644 | 58-58
row 9 : August 10 | Rangers | 5 - 4 | Towers (1-1) | 25,401 | 58-59
row 10 : August 11 | @ Mariners | 5 - 3 | Piñeiro (13-7) | 44,922 | 59-59
row 11 : August 12 | @ Mariners | 3 - 1 | Halladay (16-4) | 37,018 | 59-60
row 12 : August 13 | @ Mariners | 13 - 6 | Kershner (0-2) | 37,066 | 59-61
row 13 : August 14 | @ Mariners | 5 - 2 | Meche (13-8) | 41,945 | 60-61
row 14 : August 15 | @ Athletics | 8 - 5 | Harden (3-2) | 17,446 | 61-61
row 15 : August 16 | @ Athletics | 6 - 4 | Hendrickson (7-9) | 31,045 | 61-62
row 16 : August 17 | @ Athletics | 7 - 3 | Halladay (16-5) | 32,488 | 61-63
row 17 : August 19 | Mariners | 9 - 1 | Escobar (9-7) | 24,025 | 61-64
row 18 : August 20 | Mariners | 5 - 2 | Meche (13-9) | 21,588 | 62-64
row 19 : August 21 | Mariners | 7 - 3 | Moyer (15-6) | 20,111 | 63-64
row 20 : August 22 | Athletics | 6 - 3 | Zito (10-11) | 22,050 | 64-64
row 21 : August 23 | Athletics | 11 - 5 | Sturtze (6-6) | 27,740 | 64-65
row 22 : August 24 | Athletics | 17 - 2 | Escobar (9-8) | 32,979 | 64-66
row 23 : August 25 | Athletics | 8 - 6 | Lidle (11-11) | 22,111 | 64-67
row 24 : August 26 | @ Red Sox | 12 - 9 | Sauerbeck (0-1) | 33,731 | 65-67
row 25 : August 27 | @ Red Sox | 6 - 3 | Halladay (17-6) | 34,206 | 65-68
row 26 : August 29 | @ Indians | 7 - 3 | Sabathia (12-8) | 21,008 | 66-68
row 27 : August 30 | @ Indians | 9 - 3 | Westbrook (6-8) | 21,806 | 67-68
row 28 : August 31 | @ Indians | 5 - 4 | Kershner (0-3) | 20,866 | 67-69 [/Table] Answer this question based on the above table: On which date were the 2003 Toronto Blue Jays 54-55?

Answer: August 1
[Table] header: Date | Opponent | Score | Loss | Attendance | Record row 1 : August 1 | @ Angels | 5 - 0 | Halladay (15-3) | 42,635 | 54-55
row 2 : August 2 | @ Angels | 6 - 1 | Washburn (8-11) | 43,087 | 55-55
row 3 : August 3 | @ Angels | 4 - 0 | Shields (2-2) | 42,198 | 56-55
row 4 : August 4 | @ Devil Rays | 10 - 1 | Lidle (11-10) | 8,193 | 56-56
row 5 : August 5 | @ Devil Rays | 5 - 4 (10) | Acevedo (1-5) | 9,566 | 56-57
row 6 : August 6 | @ Devil Rays | 7 - 3 | Kennedy (3-9) | 9,430 | 57-57
row 7 : August 8 | Rangers | 5 - 3 | Thurman (1-1) | 24,392 | 57-58
row 8 : August 9 | Rangers | 5 - 3 | Fultz (1-3) | 24,644 | 58-58
row 9 : August 10 | Rangers | 5 - 4 | Towers (1-1) | 25,401 | 58-59
row 10 : August 11 | @ Mariners | 5 - 3 | Piñeiro (13-7) | 44,922 | 59-59
row 11 : August 12 | @ Mariners | 3 - 1 | Halladay (16-4) | 37,018 | 59-60
row 12 : August 13 | @ Mariners | 13 - 6 | Kershner (0-2) | 37,066 | 59-61
row 13 : August 14 | @ Mariners | 5 - 2 | Meche (13-8) | 41,945 | 60-61
row 14 : August 15 | @ Athletics | 8 - 5 | Harden (3-2) | 17,446 | 61-61
row 15 : August 16 | @ Athletics | 6 - 4 | Hendrickson (7-9) | 31,045 | 61-62
row 16 : August 17 | @ Athletics | 7 - 3 | Halladay (16-5) | 32,488 | 61-63
row 17 : August 19 | Mariners | 9 - 1 | Escobar (9-7) | 24,025 | 61-64
row 18 : August 20 | Mariners | 5 - 2 | Meche (13-9) | 21,588 | 62-64
row 19 : August 21 | Mariners | 7 - 3 | Moyer (15-6) | 20,111 | 63-64
row 20 : August 22 | Athletics | 6 - 3 | Zito (10-11) | 22,050 | 64-64
row 21 : August 23 | Athletics | 11 - 5 | Sturtze (6-6) | 27,740 | 64-65
row 22 : August 24 | Athletics | 17 - 2 | Escobar (9-8) | 32,979 | 64-66
row 23 : August 25 | Athletics | 8 - 6 | Lidle (11-11) | 22,111 | 64-67
row 24 : August 26 | @ Red Sox | 12 - 9 | Sauerbeck (0-1) | 33,731 | 65-67
row 25 : August 27 | @ Red Sox | 6 - 3 | Halladay (17-6) | 34,206 | 65-68
row 26 : August 29 | @ Indians | 7 - 3 | Sabathia (12-8) | 21,008 | 66-68
row 27 : August 30 | @ Indians | 9 - 3 | Westbrook (6-8) | 21,806 | 67-68
row 28 : August 31 | @ Indians | 5 - 4 | Kershner (0-3) | 20,866 | 67-69 [/Table] Answer this question based on the above table: What is the average attendance of the Mariners' attendance when their record was 62-64?

Answer: 21588.0
[Table] header: Date | Opponent | Score | Loss | Attendance | Record row 1 : August 1 | @ Angels | 5 - 0 | Halladay (15-3) | 42,635 | 54-55
row 2 : August 2 | @ Angels | 6 - 1 | Washburn (8-11) | 43,087 | 55-55
row 3 : August 3 | @ Angels | 4 - 0 | Shields (2-2) | 42,198 | 56-55
row 4 : August 4 | @ Devil Rays | 10 - 1 | Lidle (11-10) | 8,193 | 56-56
row 5 : August 5 | @ Devil Rays | 5 - 4 (10) | Acevedo (1-5) | 9,566 | 56-57
row 6 : August 6 | @ Devil Rays | 7 - 3 | Kennedy (3-9) | 9,430 | 57-57
row 7 : August 8 | Rangers | 5 - 3 | Thurman (1-1) | 24,392 | 57-58
row 8 : August 9 | Rangers | 5 - 3 | Fultz (1-3) | 24,644 | 58-58
row 9 : August 10 | Rangers | 5 - 4 | Towers (1-1) | 25,401 | 58-59
row 10 : August 11 | @ Mariners | 5 - 3 | Piñeiro (13-7) | 44,922 | 59-59
row 11 : August 12 | @ Mariners | 3 - 1 | Halladay (16-4) | 37,018 | 59-60
row 12 : August 13 | @ Mariners | 13 - 6 | Kershner (0-2) | 37,066 | 59-61
row 13 : August 14 | @ Mariners | 5 - 2 | Meche (13-8) | 41,945 | 60-61
row 14 : August 15 | @ Athletics | 8 - 5 | Harden (3-2) | 17,446 | 61-61
row 15 : August 16 | @ Athletics | 6 - 4 | Hendrickson (7-9) | 31,045 | 61-62
row 16 : August 17 | @ Athletics | 7 - 3 | Halladay (16-5) | 32,488 | 61-63
row 17 : August 19 | Mariners | 9 - 1 | Escobar (9-7) | 24,025 | 61-64
row 18 : August 20 | Mariners | 5 - 2 | Meche (13-9) | 21,588 | 62-64
row 19 : August 21 | Mariners | 7 - 3 | Moyer (15-6) | 20,111 | 63-64
row 20 : August 22 | Athletics | 6 - 3 | Zito (10-11) | 22,050 | 64-64
row 21 : August 23 | Athletics | 11 - 5 | Sturtze (6-6) | 27,740 | 64-65
row 22 : August 24 | Athletics | 17 - 2 | Escobar (9-8) | 32,979 | 64-66
row 23 : August 25 | Athletics | 8 - 6 | Lidle (11-11) | 22,111 | 64-67
row 24 : August 26 | @ Red Sox | 12 - 9 | Sauerbeck (0-1) | 33,731 | 65-67
row 25 : August 27 | @ Red Sox | 6 - 3 | Halladay (17-6) | 34,206 | 65-68
row 26 : August 29 | @ Indians | 7 - 3 | Sabathia (12-8) | 21,008 | 66-68
row 27 : August 30 | @ Indians | 9 - 3 | Westbrook (6-8) | 21,806 | 67-68
row 28 : August 31 | @ Indians | 5 - 4 | Kershner (0-3) | 20,866 | 67-69 [/Table] Answer this question based on the above table: What was the score when the Blue Jays had an attendance larger than 9,430?

Answer: 5 - 0, 6 - 1, 4 - 0, 5 - 4 (10), 5 - 3, 5 - 3, 5 - 4, 5 - 3, 3 - 1, 13 - 6, 5 - 2, 8 - 5, 6 - 4, 7 - 3, 9 - 1, 5 - 2, 7 - 3, 6 - 3, 11 - 5, 17 - 2, 8 - 6, 12 - 9, 6 - 3, 7 - 3, 9 - 3, 5 - 4
[Table] header: Name | Country | Year | Structure Height [m] | Structure Volume [10 6 m 3 ] | Reservoir Volume [10 9 m 3 ] | Type row 1 : Syncrude Tailings Dam Mildred | Canada | 1995 | 88 | 540/720 | 0.35 | TE
row 2 : Tarbela Dam | Pakistan | 1976 | 143 | 106 /152 | 13.7 | TE/ER
row 3 : Syncrude Tailings Dam Mildred | Canada | 2010 | 40-50 | 119 | 0.25 | TE
row 4 : Fort Peck Dam | United States | 1940 | 76.4 | 96 | 23 | TE
row 5 : Atatürk Dam | Turkey | 1990 | 166 | 84.5 | 48.7 | TE/ER
row 6 : Flevoland Dyke | Netherlands | 1968 | 13 | 78 | 0 | TE/ER
row 7 : Oahe Dam | United States | 1963 | 75 | 70.3 | 29 | TE/ER
row 8 : Gardiner Dam | Canada | 1967 | 64 | 65.4 | 9.4 | TE
row 9 : Mangla Dam | Pakistan | 1967 | 138 | 65.4 | 7.25 | TE or TE/ER
row 10 : Oroville Dam | United States | 1968 | 230 | 59.6 | 4.36 | TE/ER
row 11 : San Luis Dam (B F Sisk Dam | United States | 1967 | 93 | 59.6 | 2.52 | TE
row 12 : Nurek Dam | Tajikistan | 1980 | 300 | 54 | 10.5 | TE
row 13 : Samara Dam ( Kuybyshev | Russia | 1955 | 52 | 54 | 57.3 | TE or ER
row 14 : Garrison Dam ( Lake Sakakawea  | United States | 1954 | 64 | 50.8 | 29 | TE
row 15 : Cochiti Dam | United States | 1975 | 76.5 | 50.2 | 0.73 | TE
row 16 : Aswan Dam | Egypt | 1970 | 111 | 44.3 | 157 | TE/ER
row 17 : W. A. C. Bennett Dam ( Will | Canada | 1968 | 186 | 43.7 | 7.4 | TE
row 18 : ASARCO Mission Mine Tailings Dam | United States | 1973 | 30 | 40.1 | 0 | ER
row 19 : Fort Randall Dam ( Lake Francis Case ) | United States | 1953 | 50.3 | 38.2 | 6.7 | TE/ER
row 20 : Afsluitdijk | Netherlands | 1932 | 13 | 36.5 | 5.5 | TE/ER
row 21 : San Roque Dam | Philippines | 2003 | 200/210 | 35 | 0.835 | TE or ER [/Table] Answer this question based on the above table: What is the height of the fort peck dam which was built before 1968, is located in the united states and has a dam type of TE ?

Answer: 76.4
[Table] header: Season | Champion | Count | Runner-up | Third Place row 1 : 2006 | Deportivo Municipal | 2 | Universidad San Marcos | Deportivo Aviación
row 2 : 2007 | Universidad César Vallejo | 1 | Atlético Minero | Universidad Técnica de Caja
row 3 : 2008 | Total Clean | 1 | Inti Gas | Sport Águila
row 4 : 2009 | Sport Boys | 2 | Cobresol | Deportivo Coopsol
row 5 : 2010 | Cobresol | 1 | Sport Áncash | Hijos de Acosvinchos
row 6 : 2011 | José Gálvez | 1 | Deportivo Coopsol | Alianza Unicachi
row 7 : 2012 | Pacífico | 1 | Deportivo Coopsol | Los Caimanes
row 8 : 2013 | Los Caimanes | 1 | Alfonso Ugarte | Atlético Torino [/Table] Answer this question based on the above table: Who was the runner up before 2007?

Answer: Universidad San Marcos
[Table] header: Season | Champion | Runner-up | Series Result | Finals MVP | Champion's Coach row 1 : 1983–84 | Real Madrid | FC Barcelona | 2 – 1 | N/A | Lolo Sainz
row 2 : 1984–85 | Real Madrid | Joventut Badalona | 2 – 1 | N/A | Lolo Sainz
row 3 : 1985–86 | Real Madrid | FC Barcelona | 2 – 0 | N/A | Lolo Sainz
row 4 : 1986–87 | FC Barcelona | Joventut Badalona | 3 – 1 | N/A | Aíto García Reneses
row 5 : 1987–88 | FC Barcelona | Real Madrid | 3 – 2 | N/A | Aíto García Reneses
row 6 : 1988–89 | FC Barcelona | Real Madrid | 3 – 2 | N/A | Aíto García Reneses
row 7 : 1989–90 | FC Barcelona | Joventut Badalona | 3 – 0 | N/A | Aíto García Reneses
row 8 : 1990–91 | Joventut Badalona | FC Barcelona | 3 – 1 | Corny Thompson | Lolo Sainz
row 9 : 1991–92 | Joventut Badalona | Real Madrid | 3 – 2 | Mike Smith | Lolo Sainz
row 10 : 1992–93 | Real Madrid | Joventut Badalona | 3 – 2 | Arvydas Sabonis | Clifford Luyk
row 11 : 1993–94 | Real Madrid | FC Barcelona | 3 – 0 | Arvydas Sabonis | Clifford Luyk
row 12 : 1994–95 | FC Barcelona | CB Málaga | 3 – 2 | Michael Ansley | Aíto García Reneses
row 13 : 1995–96 | FC Barcelona | CB Sevilla | 3 – 0 | Xavi Fernández | Aíto García Reneses
row 14 : 1996–97 | FC Barcelona | Real Madrid | 3 – 2 | Roberto Dueñas | Aíto García Reneses
row 15 : 1997–98 | Manresa | Baskonia | 3 – 1 | Joan Creus | Luis Casimiro
row 16 : 1998–99 | FC Barcelona | CB Sevilla | 3 – 0 | Derrick Alston | Aíto García Reneses
row 17 : 1999–00 | Real Madrid | FC Barcelona | 3 – 2 | Alberto Angulo | Sergio Scariolo
row 18 : 2000–01 | FC Barcelona | Real Madrid | 3 – 0 | Pau Gasol | Aíto García Reneses
row 19 : 2001–02 | Baskonia | CB Málaga | 3 – 0 | Elmer Bennett | Duško Ivanović
row 20 : 2002–03 | FC Barcelona | Valencia BC | 3 – 0 | Šarūnas Jasike | Svetislav Pešić
row 21 : 2003–04 | FC Barcelona | Estudiantes | 3 – 2 | Dejan Bodiroga | Svetislav Pešić
row 22 : 2004–05 | Real Madrid | Baskonia | 3 – 2 | Louis Bullock | Božidar Maljković
row 23 : 2005–06 | CB Málaga | Baskonia | 3 – 0 | Jorge Garbajosa | Sergio Scariolo
row 24 : 2006–07 | Real Madrid | FC Barcelona | 3 – 1 | Felipe Reyes | Joan Plaza
row 25 : 2007–08 | Baskonia | FC Barcelona | 3 – 0 | Pete Mickeal | Neven Spahija
row 26 : 2008–09 | FC Barcelona | Baskonia | 3 – 1 | Juan Carlos Navarro | Xavier Pascual
row 27 : 2009–10 | Baskonia | FC Barcelona | 3 – 0 | Tiago Splitter | Duško Ivanović
row 28 : 2010–11 | FC Barcelona | Bilbao Basket | 3 – 0 | Juan Carlos Navarro | Xavier Pascual
row 29 : 2011–12 | FC Barcelona | Real Madrid | 3 – 2 | Erazem Lorbek | Xavier Pascual
row 30 : 2012–13 | Real Madrid | FC Barcelona | 3 – 2 | Felipe Reyes | Pablo Laso [/Table] Answer this question based on the above table: Which season was Manresa the champion?

Answer: 1997–98
[Table] header: Year | Entrant | Chassis | Engine | Points row 1 : 1997 | Mild Seven Benetton Renault | Benetton B197 | Renault RS9 3.0 V10 | 4
row 2 : 1998 | Mild Seven Benetton Playlife | Benetton B198 | Playlife GC37-01 3.0 V10 | 17
row 3 : 1999 | Mild Seven Benetton Playlife | Benetton B199 | Playlife FB01 3.0 V10 | 3
row 4 : 2000 | Mild Seven Benetton Playlife | Benetton B200 | Playlife FB02 3.0 V10 | 2
row 5 : 2005 | Team McLaren Mercedes | McLaren MP4-20 | Mercedes FO 110R 3.0 V10 | 6
row 6 : 2006 | WilliamsF1 Team | Williams FW28 | Cosworth CA2006 2.4 V8 4 | –
row 7 : 2007 | AT&T Williams | Williams FW29 | Toyota RVX-07 2.4 V8 | 13 [/Table] Answer this question based on the above table: What year was the cosworth ca2006 2.4 v8 4 series used?

Answer: none