sail/symbolic-instruction-tuning huggingface dataset:
Please answer a question about the following table 

header: Stations | Connections | City/ Neighborhood | Parking | Date Opened row 1 : North Hollywood | Metro Red Line Metro Local: 152,  | North Hollywood | 951 Spaces | October 29, 2005
row 2 : Laurel Canyon | Metro Local: 156, 230, 6 | Valley Village | None | October 29, 2005
row 3 : Valley College | Metro Local: 156, 167, 6 | Valley Glen | None | October 29, 2005
row 4 : Woodman | Metro Local:154, 158 | Valley Glen | None | October 29, 2005
row 5 : Van Nuys | Metro Local:154, 156, 233 | Van Nuys | 776 Spaces | October 29, 2005
row 6 : Sepulveda | Metro Local: 234 Metro Rapid: 734 | Van Nuys | 1,205 Spaces | October 29, 2005
row 7 : Woodley | Metro Local:164, 237 | Van Nuys | None | October 29, 2005
row 8 : Balboa | Metro Local: 164, 236, 237 | Lake Balboa | 270 Spaces | October 29, 2005
row 9 : Reseda | Metro Rapid: 741 Metro Local: 240 | Tarzana | 522 Spaces | October 29, 2005
row 10 : Tampa | Metro Local: 242 | Tarzana | nan | October 29, 2005
row 11 : Pierce College | Metro Local: 164, 243 | Winnetka | 373 Spaces | October 29, 2005
row 12 : De Soto | Metro Local: 164, 244 City of | Winnetka | nan | October 29, 2005
row 13 : Canoga | Metro Local:164, 165 City of Santa | Canoga Park | 612 Spaces | December 27, 2006
row 14 : Warner Center | Metro Local: 150, 161, 164, | Woodland Hills | nan | October 29, 2005
row 15 : Sherman Way | Metro Local: 162, 163 | Canoga Park | Park & Ride Lot | June 30, 2012
row 16 : Roscoe | Metro Local: 152, 353 | Canoga Park | nan | June 30, 2012
row 17 : Nordhoff | Metro Local: 166, 364 LADOT | Chatsworth | nan | June 30, 2012
row 18 : Chatsworth | Metro Local: 158, 166,  | Chatsworth | Parking Expanded | June 30, 2012

what are all the stations? which are tampa and reseda?

Answer: Reseda, Tampa
Please answer a question about the following table 

header: Stations | Connections | City/ Neighborhood | Parking | Date Opened row 1 : North Hollywood | Metro Red Line Metro Local: 152,  | North Hollywood | 951 Spaces | October 29, 2005
row 2 : Laurel Canyon | Metro Local: 156, 230, 6 | Valley Village | None | October 29, 2005
row 3 : Valley College | Metro Local: 156, 167, 6 | Valley Glen | None | October 29, 2005
row 4 : Woodman | Metro Local:154, 158 | Valley Glen | None | October 29, 2005
row 5 : Van Nuys | Metro Local:154, 156, 233 | Van Nuys | 776 Spaces | October 29, 2005
row 6 : Sepulveda | Metro Local: 234 Metro Rapid: 734 | Van Nuys | 1,205 Spaces | October 29, 2005
row 7 : Woodley | Metro Local:164, 237 | Van Nuys | None | October 29, 2005
row 8 : Balboa | Metro Local: 164, 236, 237 | Lake Balboa | 270 Spaces | October 29, 2005
row 9 : Reseda | Metro Rapid: 741 Metro Local: 240 | Tarzana | 522 Spaces | October 29, 2005
row 10 : Tampa | Metro Local: 242 | Tarzana | nan | October 29, 2005
row 11 : Pierce College | Metro Local: 164, 243 | Winnetka | 373 Spaces | October 29, 2005
row 12 : De Soto | Metro Local: 164, 244 City of | Winnetka | nan | October 29, 2005
row 13 : Canoga | Metro Local:164, 165 City of Santa | Canoga Park | 612 Spaces | December 27, 2006
row 14 : Warner Center | Metro Local: 150, 161, 164, | Woodland Hills | nan | October 29, 2005
row 15 : Sherman Way | Metro Local: 162, 163 | Canoga Park | Park & Ride Lot | June 30, 2012
row 16 : Roscoe | Metro Local: 152, 353 | Canoga Park | nan | June 30, 2012
row 17 : Nordhoff | Metro Local: 166, 364 LADOT | Chatsworth | nan | June 30, 2012
row 18 : Chatsworth | Metro Local: 158, 166,  | Chatsworth | Parking Expanded | June 30, 2012

what are all the stations? which are tampa and reseda? of those, which has a greater number of connections?

Answer: Reseda
Please answer a question about the following table 

header: Stations | Connections | City/ Neighborhood | Parking | Date Opened row 1 : North Hollywood | Metro Red Line Metro Local: 152,  | North Hollywood | 951 Spaces | October 29, 2005
row 2 : Laurel Canyon | Metro Local: 156, 230, 6 | Valley Village | None | October 29, 2005
row 3 : Valley College | Metro Local: 156, 167, 6 | Valley Glen | None | October 29, 2005
row 4 : Woodman | Metro Local:154, 158 | Valley Glen | None | October 29, 2005
row 5 : Van Nuys | Metro Local:154, 156, 233 | Van Nuys | 776 Spaces | October 29, 2005
row 6 : Sepulveda | Metro Local: 234 Metro Rapid: 734 | Van Nuys | 1,205 Spaces | October 29, 2005
row 7 : Woodley | Metro Local:164, 237 | Van Nuys | None | October 29, 2005
row 8 : Balboa | Metro Local: 164, 236, 237 | Lake Balboa | 270 Spaces | October 29, 2005
row 9 : Reseda | Metro Rapid: 741 Metro Local: 240 | Tarzana | 522 Spaces | October 29, 2005
row 10 : Tampa | Metro Local: 242 | Tarzana | nan | October 29, 2005
row 11 : Pierce College | Metro Local: 164, 243 | Winnetka | 373 Spaces | October 29, 2005
row 12 : De Soto | Metro Local: 164, 244 City of | Winnetka | nan | October 29, 2005
row 13 : Canoga | Metro Local:164, 165 City of Santa | Canoga Park | 612 Spaces | December 27, 2006
row 14 : Warner Center | Metro Local: 150, 161, 164, | Woodland Hills | nan | October 29, 2005
row 15 : Sherman Way | Metro Local: 162, 163 | Canoga Park | Park & Ride Lot | June 30, 2012
row 16 : Roscoe | Metro Local: 152, 353 | Canoga Park | nan | June 30, 2012
row 17 : Nordhoff | Metro Local: 166, 364 LADOT | Chatsworth | nan | June 30, 2012
row 18 : Chatsworth | Metro Local: 158, 166,  | Chatsworth | Parking Expanded | June 30, 2012

what are the connections of the orange line (los angeles metro)

Answer: Metro Red Line   Metro Local: 152, 154, 156, 162, 183, 224, 353, 656 LADOT Commuter Express: 549 City of Santa Clarita Transit: 757, Metro Local: 156, 230, 656, Metro Local: 156, 167, 656 LADOT Commuter Express: 549 LADOT DASH: Van Nuys/Studio City, Metro Local:154, 158, Metro Local:154, 156, 233, 237, 656 Metro Rapid: 761 LADOT DASH: Van Nuys/Studio City City of Santa Clarita Transit: 793, 798, Metro Local: 234 Metro Rapid: 734, Metro Local:164, 237, Metro Local: 164, 236, 237 LADOT Commuter Express: 573, 574, Metro Rapid: 741 Metro Local: 240, Metro Local: 242, Metro Local: 164, 243, Metro Local: 164, 244 City of Santa Clarita Transit: 796, Metro Local:164, 165 City of Santa Clarita Transit: 796, Metro Local: 150, 161, 164, 245, 645 Metro Rapid: 750 LADOT Commuter Express: 422 City of Santa Clarita Transit: 791, 796 Ventura Intercity Service Transit Authority: Conejo Connection, Metro Local: 162, 163, Metro Local: 152, 353, Metro Local: 166, 364 LADOT DASH Northridge, Metro Local: 158, 166, 167, 244, 245, 364 LADOT Commuter Express: 419 Simi Valley Transit: C Santa Clarita Transit: 791 Metrolink Ventura County Line Amtrak Pacific Surfliner
Please answer a question about the following table 

header: Stations | Connections | City/ Neighborhood | Parking | Date Opened row 1 : North Hollywood | Metro Red Line Metro Local: 152,  | North Hollywood | 951 Spaces | October 29, 2005
row 2 : Laurel Canyon | Metro Local: 156, 230, 6 | Valley Village | None | October 29, 2005
row 3 : Valley College | Metro Local: 156, 167, 6 | Valley Glen | None | October 29, 2005
row 4 : Woodman | Metro Local:154, 158 | Valley Glen | None | October 29, 2005
row 5 : Van Nuys | Metro Local:154, 156, 233 | Van Nuys | 776 Spaces | October 29, 2005
row 6 : Sepulveda | Metro Local: 234 Metro Rapid: 734 | Van Nuys | 1,205 Spaces | October 29, 2005
row 7 : Woodley | Metro Local:164, 237 | Van Nuys | None | October 29, 2005
row 8 : Balboa | Metro Local: 164, 236, 237 | Lake Balboa | 270 Spaces | October 29, 2005
row 9 : Reseda | Metro Rapid: 741 Metro Local: 240 | Tarzana | 522 Spaces | October 29, 2005
row 10 : Tampa | Metro Local: 242 | Tarzana | nan | October 29, 2005
row 11 : Pierce College | Metro Local: 164, 243 | Winnetka | 373 Spaces | October 29, 2005
row 12 : De Soto | Metro Local: 164, 244 City of | Winnetka | nan | October 29, 2005
row 13 : Canoga | Metro Local:164, 165 City of Santa | Canoga Park | 612 Spaces | December 27, 2006
row 14 : Warner Center | Metro Local: 150, 161, 164, | Woodland Hills | nan | October 29, 2005
row 15 : Sherman Way | Metro Local: 162, 163 | Canoga Park | Park & Ride Lot | June 30, 2012
row 16 : Roscoe | Metro Local: 152, 353 | Canoga Park | nan | June 30, 2012
row 17 : Nordhoff | Metro Local: 166, 364 LADOT | Chatsworth | nan | June 30, 2012
row 18 : Chatsworth | Metro Local: 158, 166,  | Chatsworth | Parking Expanded | June 30, 2012

what are the connections of the orange line (los angeles metro) which of these connections are from tampa?

Answer: Metro Local: 242
Please answer a question about the following table 

header: Stations | Connections | City/ Neighborhood | Parking | Date Opened row 1 : North Hollywood | Metro Red Line Metro Local: 152,  | North Hollywood | 951 Spaces | October 29, 2005
row 2 : Laurel Canyon | Metro Local: 156, 230, 6 | Valley Village | None | October 29, 2005
row 3 : Valley College | Metro Local: 156, 167, 6 | Valley Glen | None | October 29, 2005
row 4 : Woodman | Metro Local:154, 158 | Valley Glen | None | October 29, 2005
row 5 : Van Nuys | Metro Local:154, 156, 233 | Van Nuys | 776 Spaces | October 29, 2005
row 6 : Sepulveda | Metro Local: 234 Metro Rapid: 734 | Van Nuys | 1,205 Spaces | October 29, 2005
row 7 : Woodley | Metro Local:164, 237 | Van Nuys | None | October 29, 2005
row 8 : Balboa | Metro Local: 164, 236, 237 | Lake Balboa | 270 Spaces | October 29, 2005
row 9 : Reseda | Metro Rapid: 741 Metro Local: 240 | Tarzana | 522 Spaces | October 29, 2005
row 10 : Tampa | Metro Local: 242 | Tarzana | nan | October 29, 2005
row 11 : Pierce College | Metro Local: 164, 243 | Winnetka | 373 Spaces | October 29, 2005
row 12 : De Soto | Metro Local: 164, 244 City of | Winnetka | nan | October 29, 2005
row 13 : Canoga | Metro Local:164, 165 City of Santa | Canoga Park | 612 Spaces | December 27, 2006
row 14 : Warner Center | Metro Local: 150, 161, 164, | Woodland Hills | nan | October 29, 2005
row 15 : Sherman Way | Metro Local: 162, 163 | Canoga Park | Park & Ride Lot | June 30, 2012
row 16 : Roscoe | Metro Local: 152, 353 | Canoga Park | nan | June 30, 2012
row 17 : Nordhoff | Metro Local: 166, 364 LADOT | Chatsworth | nan | June 30, 2012
row 18 : Chatsworth | Metro Local: 158, 166,  | Chatsworth | Parking Expanded | June 30, 2012

what are the connections of the orange line (los angeles metro) which of these connections are from tampa? which of these are for reseda?

Answer: Metro Rapid: 741 Metro Local: 240
Please answer a question about the following table 

header: Stations | Connections | City/ Neighborhood | Parking | Date Opened row 1 : North Hollywood | Metro Red Line Metro Local: 152,  | North Hollywood | 951 Spaces | October 29, 2005
row 2 : Laurel Canyon | Metro Local: 156, 230, 6 | Valley Village | None | October 29, 2005
row 3 : Valley College | Metro Local: 156, 167, 6 | Valley Glen | None | October 29, 2005
row 4 : Woodman | Metro Local:154, 158 | Valley Glen | None | October 29, 2005
row 5 : Van Nuys | Metro Local:154, 156, 233 | Van Nuys | 776 Spaces | October 29, 2005
row 6 : Sepulveda | Metro Local: 234 Metro Rapid: 734 | Van Nuys | 1,205 Spaces | October 29, 2005
row 7 : Woodley | Metro Local:164, 237 | Van Nuys | None | October 29, 2005
row 8 : Balboa | Metro Local: 164, 236, 237 | Lake Balboa | 270 Spaces | October 29, 2005
row 9 : Reseda | Metro Rapid: 741 Metro Local: 240 | Tarzana | 522 Spaces | October 29, 2005
row 10 : Tampa | Metro Local: 242 | Tarzana | nan | October 29, 2005
row 11 : Pierce College | Metro Local: 164, 243 | Winnetka | 373 Spaces | October 29, 2005
row 12 : De Soto | Metro Local: 164, 244 City of | Winnetka | nan | October 29, 2005
row 13 : Canoga | Metro Local:164, 165 City of Santa | Canoga Park | 612 Spaces | December 27, 2006
row 14 : Warner Center | Metro Local: 150, 161, 164, | Woodland Hills | nan | October 29, 2005
row 15 : Sherman Way | Metro Local: 162, 163 | Canoga Park | Park & Ride Lot | June 30, 2012
row 16 : Roscoe | Metro Local: 152, 353 | Canoga Park | nan | June 30, 2012
row 17 : Nordhoff | Metro Local: 166, 364 LADOT | Chatsworth | nan | June 30, 2012
row 18 : Chatsworth | Metro Local: 158, 166,  | Chatsworth | Parking Expanded | June 30, 2012

what are the connections of the orange line (los angeles metro) which of these connections are from tampa? which of these are for reseda? which has more?

Answer: Reseda
Please answer a question about the following table 

header: Conference | # of Bids | Record | Win % | Round of 32 | Sweet Sixteen | Elite Eight | Final Four | Championship Game row 1 : Southeastern | 6 | 10-6 | .625 | 5 | 3 | 1 | 1 | -
row 2 : Big Ten | 5 | 9-5 | .643 | 4 | 2 | 2 | 1 | -
row 3 : Pacific-10 | 5 | 8-5 | .615 | 4 | 2 | 2 | - | -
row 4 : Southwest | 4 | 5-4 | .556 | 3 | 2 | - | - | -
row 5 : Big Eight | 4 | 3-4 | .429 | 2 | 1 | - | - | -
row 6 : Atlantic Coast | 3 | 9-2 | .818 | 3 | 2 | 1 | 1 | 1
row 7 : Atlantic 10 | 3 | 1-3 | .250 | 1 | - | - | - | -
row 8 : Sun Belt | 2 | 6-2 | .750 | 2 | 1 | 1 | 1 | 1
row 9 : Big East | 2 | 5-2 | .714 | 2 | 2 | 1 | - | -
row 10 : Metro | 2 | 2-2 | .500 | 1 | 1 | - | - | -
row 11 : Missouri Valley | 2 | 2-2 | .500 | 2 | - | - | - | -
row 12 : Big Sky | 2 | 1-2 | .333 | 1 | - | - | - | -
row 13 : Big West | 2 | 0-2 | - | - | - | - | - | -
row 14 : Great Midwest | 2 | 0-2 | - | - | - | - | - | -
row 15 : Mid-Continent | 2 | 0-2 | - | - | - | - | - | -
row 16 : West Coast | 2 | 0-2 | - | - | - | - | - | -
row 17 : Colonial | 1 | 1-1 | .500 | 1 | - | - | - | -
row 18 : Western Athletic | 1 | 1-1 | .500 | 1 | - | - | - | -

which teams played in the 1994 ncaa women's division basketball tournament?

Answer: Southeastern, Big Ten, Pacific-10, Southwest, Big Eight, Atlantic Coast, Atlantic 10, Sun Belt, Big East, Metro, Missouri Valley, Big Sky, Big West, Great Midwest, Mid-Continent, West Coast, Colonial, Western Athletic
Please answer a question about the following table 

header: Conference | # of Bids | Record | Win % | Round of 32 | Sweet Sixteen | Elite Eight | Final Four | Championship Game row 1 : Southeastern | 6 | 10-6 | .625 | 5 | 3 | 1 | 1 | -
row 2 : Big Ten | 5 | 9-5 | .643 | 4 | 2 | 2 | 1 | -
row 3 : Pacific-10 | 5 | 8-5 | .615 | 4 | 2 | 2 | - | -
row 4 : Southwest | 4 | 5-4 | .556 | 3 | 2 | - | - | -
row 5 : Big Eight | 4 | 3-4 | .429 | 2 | 1 | - | - | -
row 6 : Atlantic Coast | 3 | 9-2 | .818 | 3 | 2 | 1 | 1 | 1
row 7 : Atlantic 10 | 3 | 1-3 | .250 | 1 | - | - | - | -
row 8 : Sun Belt | 2 | 6-2 | .750 | 2 | 1 | 1 | 1 | 1
row 9 : Big East | 2 | 5-2 | .714 | 2 | 2 | 1 | - | -
row 10 : Metro | 2 | 2-2 | .500 | 1 | 1 | - | - | -
row 11 : Missouri Valley | 2 | 2-2 | .500 | 2 | - | - | - | -
row 12 : Big Sky | 2 | 1-2 | .333 | 1 | - | - | - | -
row 13 : Big West | 2 | 0-2 | - | - | - | - | - | -
row 14 : Great Midwest | 2 | 0-2 | - | - | - | - | - | -
row 15 : Mid-Continent | 2 | 0-2 | - | - | - | - | - | -
row 16 : West Coast | 2 | 0-2 | - | - | - | - | - | -
row 17 : Colonial | 1 | 1-1 | .500 | 1 | - | - | - | -
row 18 : Western Athletic | 1 | 1-1 | .500 | 1 | - | - | - | -

which teams played in the 1994 ncaa women's division basketball tournament? which of these teams won a game?

Answer: Southeastern, Big Ten, Pacific-10, Southwest, Big Eight, Atlantic Coast, Atlantic 10, Sun Belt, Big East, Metro, Missouri Valley, Big Sky
Please answer a question about the following table 

header: Conference | # of Bids | Record | Win % | Round of 32 | Sweet Sixteen | Elite Eight | Final Four | Championship Game row 1 : Southeastern | 6 | 10-6 | .625 | 5 | 3 | 1 | 1 | -
row 2 : Big Ten | 5 | 9-5 | .643 | 4 | 2 | 2 | 1 | -
row 3 : Pacific-10 | 5 | 8-5 | .615 | 4 | 2 | 2 | - | -
row 4 : Southwest | 4 | 5-4 | .556 | 3 | 2 | - | - | -
row 5 : Big Eight | 4 | 3-4 | .429 | 2 | 1 | - | - | -
row 6 : Atlantic Coast | 3 | 9-2 | .818 | 3 | 2 | 1 | 1 | 1
row 7 : Atlantic 10 | 3 | 1-3 | .250 | 1 | - | - | - | -
row 8 : Sun Belt | 2 | 6-2 | .750 | 2 | 1 | 1 | 1 | 1
row 9 : Big East | 2 | 5-2 | .714 | 2 | 2 | 1 | - | -
row 10 : Metro | 2 | 2-2 | .500 | 1 | 1 | - | - | -
row 11 : Missouri Valley | 2 | 2-2 | .500 | 2 | - | - | - | -
row 12 : Big Sky | 2 | 1-2 | .333 | 1 | - | - | - | -
row 13 : Big West | 2 | 0-2 | - | - | - | - | - | -
row 14 : Great Midwest | 2 | 0-2 | - | - | - | - | - | -
row 15 : Mid-Continent | 2 | 0-2 | - | - | - | - | - | -
row 16 : West Coast | 2 | 0-2 | - | - | - | - | - | -
row 17 : Colonial | 1 | 1-1 | .500 | 1 | - | - | - | -
row 18 : Western Athletic | 1 | 1-1 | .500 | 1 | - | - | - | -

which teams played in the 1994 ncaa women's division basketball tournament? which of these teams won a game? and which of these teams won a number of games in the double digits?

Answer: Southeastern
Please answer a question about the following table 

header: Conference | # of Bids | Record | Win % | Round of 32 | Sweet Sixteen | Elite Eight | Final Four | Championship Game row 1 : Southeastern | 6 | 10-6 | .625 | 5 | 3 | 1 | 1 | -
row 2 : Big Ten | 5 | 9-5 | .643 | 4 | 2 | 2 | 1 | -
row 3 : Pacific-10 | 5 | 8-5 | .615 | 4 | 2 | 2 | - | -
row 4 : Southwest | 4 | 5-4 | .556 | 3 | 2 | - | - | -
row 5 : Big Eight | 4 | 3-4 | .429 | 2 | 1 | - | - | -
row 6 : Atlantic Coast | 3 | 9-2 | .818 | 3 | 2 | 1 | 1 | 1
row 7 : Atlantic 10 | 3 | 1-3 | .250 | 1 | - | - | - | -
row 8 : Sun Belt | 2 | 6-2 | .750 | 2 | 1 | 1 | 1 | 1
row 9 : Big East | 2 | 5-2 | .714 | 2 | 2 | 1 | - | -
row 10 : Metro | 2 | 2-2 | .500 | 1 | 1 | - | - | -
row 11 : Missouri Valley | 2 | 2-2 | .500 | 2 | - | - | - | -
row 12 : Big Sky | 2 | 1-2 | .333 | 1 | - | - | - | -
row 13 : Big West | 2 | 0-2 | - | - | - | - | - | -
row 14 : Great Midwest | 2 | 0-2 | - | - | - | - | - | -
row 15 : Mid-Continent | 2 | 0-2 | - | - | - | - | - | -
row 16 : West Coast | 2 | 0-2 | - | - | - | - | - | -
row 17 : Colonial | 1 | 1-1 | .500 | 1 | - | - | - | -
row 18 : Western Athletic | 1 | 1-1 | .500 | 1 | - | - | - | -

what are all of the conferences? what is the record for each?

Answer: 10-6, 9-5, 8-5, 5-4, 3-4, 9-2, 1-3, 6-2, 5-2, 2-2, 2-2, 1-2, 0-2, 0-2, 0-2, 0-2, 1-1, 1-1
Please answer a question about the following table 

header: Conference | # of Bids | Record | Win % | Round of 32 | Sweet Sixteen | Elite Eight | Final Four | Championship Game row 1 : Southeastern | 6 | 10-6 | .625 | 5 | 3 | 1 | 1 | -
row 2 : Big Ten | 5 | 9-5 | .643 | 4 | 2 | 2 | 1 | -
row 3 : Pacific-10 | 5 | 8-5 | .615 | 4 | 2 | 2 | - | -
row 4 : Southwest | 4 | 5-4 | .556 | 3 | 2 | - | - | -
row 5 : Big Eight | 4 | 3-4 | .429 | 2 | 1 | - | - | -
row 6 : Atlantic Coast | 3 | 9-2 | .818 | 3 | 2 | 1 | 1 | 1
row 7 : Atlantic 10 | 3 | 1-3 | .250 | 1 | - | - | - | -
row 8 : Sun Belt | 2 | 6-2 | .750 | 2 | 1 | 1 | 1 | 1
row 9 : Big East | 2 | 5-2 | .714 | 2 | 2 | 1 | - | -
row 10 : Metro | 2 | 2-2 | .500 | 1 | 1 | - | - | -
row 11 : Missouri Valley | 2 | 2-2 | .500 | 2 | - | - | - | -
row 12 : Big Sky | 2 | 1-2 | .333 | 1 | - | - | - | -
row 13 : Big West | 2 | 0-2 | - | - | - | - | - | -
row 14 : Great Midwest | 2 | 0-2 | - | - | - | - | - | -
row 15 : Mid-Continent | 2 | 0-2 | - | - | - | - | - | -
row 16 : West Coast | 2 | 0-2 | - | - | - | - | - | -
row 17 : Colonial | 1 | 1-1 | .500 | 1 | - | - | - | -
row 18 : Western Athletic | 1 | 1-1 | .500 | 1 | - | - | - | -

what are all of the conferences? what is the record for each? and which had the highest record?

Answer: Southeastern
Please answer a question about the following table 

header: Conference | # of Bids | Record | Win % | Round of 32 | Sweet Sixteen | Elite Eight | Final Four | Championship Game row 1 : Southeastern | 6 | 10-6 | .625 | 5 | 3 | 1 | 1 | -
row 2 : Big Ten | 5 | 9-5 | .643 | 4 | 2 | 2 | 1 | -
row 3 : Pacific-10 | 5 | 8-5 | .615 | 4 | 2 | 2 | - | -
row 4 : Southwest | 4 | 5-4 | .556 | 3 | 2 | - | - | -
row 5 : Big Eight | 4 | 3-4 | .429 | 2 | 1 | - | - | -
row 6 : Atlantic Coast | 3 | 9-2 | .818 | 3 | 2 | 1 | 1 | 1
row 7 : Atlantic 10 | 3 | 1-3 | .250 | 1 | - | - | - | -
row 8 : Sun Belt | 2 | 6-2 | .750 | 2 | 1 | 1 | 1 | 1
row 9 : Big East | 2 | 5-2 | .714 | 2 | 2 | 1 | - | -
row 10 : Metro | 2 | 2-2 | .500 | 1 | 1 | - | - | -
row 11 : Missouri Valley | 2 | 2-2 | .500 | 2 | - | - | - | -
row 12 : Big Sky | 2 | 1-2 | .333 | 1 | - | - | - | -
row 13 : Big West | 2 | 0-2 | - | - | - | - | - | -
row 14 : Great Midwest | 2 | 0-2 | - | - | - | - | - | -
row 15 : Mid-Continent | 2 | 0-2 | - | - | - | - | - | -
row 16 : West Coast | 2 | 0-2 | - | - | - | - | - | -
row 17 : Colonial | 1 | 1-1 | .500 | 1 | - | - | - | -
row 18 : Western Athletic | 1 | 1-1 | .500 | 1 | - | - | - | -

what were the records of the 1994 tournament?

Answer: 10-6, 9-5, 8-5, 5-4, 3-4, 9-2, 1-3, 6-2, 5-2, 2-2, 2-2, 1-2, 0-2, 0-2, 0-2, 0-2, 1-1, 1-1
Please answer a question about the following table 

header: Conference | # of Bids | Record | Win % | Round of 32 | Sweet Sixteen | Elite Eight | Final Four | Championship Game row 1 : Southeastern | 6 | 10-6 | .625 | 5 | 3 | 1 | 1 | -
row 2 : Big Ten | 5 | 9-5 | .643 | 4 | 2 | 2 | 1 | -
row 3 : Pacific-10 | 5 | 8-5 | .615 | 4 | 2 | 2 | - | -
row 4 : Southwest | 4 | 5-4 | .556 | 3 | 2 | - | - | -
row 5 : Big Eight | 4 | 3-4 | .429 | 2 | 1 | - | - | -
row 6 : Atlantic Coast | 3 | 9-2 | .818 | 3 | 2 | 1 | 1 | 1
row 7 : Atlantic 10 | 3 | 1-3 | .250 | 1 | - | - | - | -
row 8 : Sun Belt | 2 | 6-2 | .750 | 2 | 1 | 1 | 1 | 1
row 9 : Big East | 2 | 5-2 | .714 | 2 | 2 | 1 | - | -
row 10 : Metro | 2 | 2-2 | .500 | 1 | 1 | - | - | -
row 11 : Missouri Valley | 2 | 2-2 | .500 | 2 | - | - | - | -
row 12 : Big Sky | 2 | 1-2 | .333 | 1 | - | - | - | -
row 13 : Big West | 2 | 0-2 | - | - | - | - | - | -
row 14 : Great Midwest | 2 | 0-2 | - | - | - | - | - | -
row 15 : Mid-Continent | 2 | 0-2 | - | - | - | - | - | -
row 16 : West Coast | 2 | 0-2 | - | - | - | - | - | -
row 17 : Colonial | 1 | 1-1 | .500 | 1 | - | - | - | -
row 18 : Western Athletic | 1 | 1-1 | .500 | 1 | - | - | - | -

what were the records of the 1994 tournament? which team had the 10-6 record?

Answer: Southeastern
Please answer a question about the following table 

header: Date | Location | Opponent | Result | Competition row 1 : January 19, 2013 | Concepcion, Chile | Chile | 0-3 | F
row 2 : February 6, 2013 | Santa Cruz de la Sierra, Bolivia | Bolivia | 1-2 | F
row 3 : March 20, 2013 | Muscat, Oman | Oman | 0-3 | F
row 4 : March 24, 2013 | Santo Domingo, Dominican Republic | Dominican Republic | 1-3 | F
row 5 : June 8, 2013 | Miami, United States | Spain | 1-2 | F
row 6 : June 11, 2013 | Rio de Janeiro, Brazil | Italy | 2-2 | F
row 7 : July 8, 2013 | Harrison, United States | Honduras | 0-2 | GC
row 8 : July 12, 2013 | Miami Gardens, United States | Trinidad and Tobago | 2-0 | GC
row 9 : July 15, 2013 | Houston, United States | El Salvador | 0-1 | GC
row 10 : September 6, 2013 | Incheon, South Korea | South Korea | 1-4 | F
row 11 : March 5, 2014 | Mitrovica, Kosovo | Kosovo | 0-0 | F

who are all of the opponents? and the results? and against which team did they win both matches?

Answer: Trinidad and Tobago
Please answer a question about the following table 

header: Date | Location | Opponent | Result | Competition row 1 : January 19, 2013 | Concepcion, Chile | Chile | 0-3 | F
row 2 : February 6, 2013 | Santa Cruz de la Sierra, Bolivia | Bolivia | 1-2 | F
row 3 : March 20, 2013 | Muscat, Oman | Oman | 0-3 | F
row 4 : March 24, 2013 | Santo Domingo, Dominican Republic | Dominican Republic | 1-3 | F
row 5 : June 8, 2013 | Miami, United States | Spain | 1-2 | F
row 6 : June 11, 2013 | Rio de Janeiro, Brazil | Italy | 2-2 | F
row 7 : July 8, 2013 | Harrison, United States | Honduras | 0-2 | GC
row 8 : July 12, 2013 | Miami Gardens, United States | Trinidad and Tobago | 2-0 | GC
row 9 : July 15, 2013 | Houston, United States | El Salvador | 0-1 | GC
row 10 : September 6, 2013 | Incheon, South Korea | South Korea | 1-4 | F
row 11 : March 5, 2014 | Mitrovica, Kosovo | Kosovo | 0-0 | F

what day did haiti finally win a match?

Answer: July 12, 2013
Please answer a question about the following table 

header: Date | Location | Opponent | Result | Competition row 1 : January 19, 2013 | Concepcion, Chile | Chile | 0-3 | F
row 2 : February 6, 2013 | Santa Cruz de la Sierra, Bolivia | Bolivia | 1-2 | F
row 3 : March 20, 2013 | Muscat, Oman | Oman | 0-3 | F
row 4 : March 24, 2013 | Santo Domingo, Dominican Republic | Dominican Republic | 1-3 | F
row 5 : June 8, 2013 | Miami, United States | Spain | 1-2 | F
row 6 : June 11, 2013 | Rio de Janeiro, Brazil | Italy | 2-2 | F
row 7 : July 8, 2013 | Harrison, United States | Honduras | 0-2 | GC
row 8 : July 12, 2013 | Miami Gardens, United States | Trinidad and Tobago | 2-0 | GC
row 9 : July 15, 2013 | Houston, United States | El Salvador | 0-1 | GC
row 10 : September 6, 2013 | Incheon, South Korea | South Korea | 1-4 | F
row 11 : March 5, 2014 | Mitrovica, Kosovo | Kosovo | 0-0 | F

what day did haiti finally win a match? what was the score?

Answer: 2-0
Please answer a question about the following table 

header: Date | Location | Opponent | Result | Competition row 1 : January 19, 2013 | Concepcion, Chile | Chile | 0-3 | F
row 2 : February 6, 2013 | Santa Cruz de la Sierra, Bolivia | Bolivia | 1-2 | F
row 3 : March 20, 2013 | Muscat, Oman | Oman | 0-3 | F
row 4 : March 24, 2013 | Santo Domingo, Dominican Republic | Dominican Republic | 1-3 | F
row 5 : June 8, 2013 | Miami, United States | Spain | 1-2 | F
row 6 : June 11, 2013 | Rio de Janeiro, Brazil | Italy | 2-2 | F
row 7 : July 8, 2013 | Harrison, United States | Honduras | 0-2 | GC
row 8 : July 12, 2013 | Miami Gardens, United States | Trinidad and Tobago | 2-0 | GC
row 9 : July 15, 2013 | Houston, United States | El Salvador | 0-1 | GC
row 10 : September 6, 2013 | Incheon, South Korea | South Korea | 1-4 | F
row 11 : March 5, 2014 | Mitrovica, Kosovo | Kosovo | 0-0 | F

what day did haiti finally win a match? what was the score? who did they play?

Answer: Trinidad and Tobago
Please answer a question about the following table 

header: Date | Location | Opponent | Result | Competition row 1 : January 19, 2013 | Concepcion, Chile | Chile | 0-3 | F
row 2 : February 6, 2013 | Santa Cruz de la Sierra, Bolivia | Bolivia | 1-2 | F
row 3 : March 20, 2013 | Muscat, Oman | Oman | 0-3 | F
row 4 : March 24, 2013 | Santo Domingo, Dominican Republic | Dominican Republic | 1-3 | F
row 5 : June 8, 2013 | Miami, United States | Spain | 1-2 | F
row 6 : June 11, 2013 | Rio de Janeiro, Brazil | Italy | 2-2 | F
row 7 : July 8, 2013 | Harrison, United States | Honduras | 0-2 | GC
row 8 : July 12, 2013 | Miami Gardens, United States | Trinidad and Tobago | 2-0 | GC
row 9 : July 15, 2013 | Houston, United States | El Salvador | 0-1 | GC
row 10 : September 6, 2013 | Incheon, South Korea | South Korea | 1-4 | F
row 11 : March 5, 2014 | Mitrovica, Kosovo | Kosovo | 0-0 | F

what date did the team get their only win?

Answer: July 12, 2013
Please answer a question about the following table 

header: Date | Location | Opponent | Result | Competition row 1 : January 19, 2013 | Concepcion, Chile | Chile | 0-3 | F
row 2 : February 6, 2013 | Santa Cruz de la Sierra, Bolivia | Bolivia | 1-2 | F
row 3 : March 20, 2013 | Muscat, Oman | Oman | 0-3 | F
row 4 : March 24, 2013 | Santo Domingo, Dominican Republic | Dominican Republic | 1-3 | F
row 5 : June 8, 2013 | Miami, United States | Spain | 1-2 | F
row 6 : June 11, 2013 | Rio de Janeiro, Brazil | Italy | 2-2 | F
row 7 : July 8, 2013 | Harrison, United States | Honduras | 0-2 | GC
row 8 : July 12, 2013 | Miami Gardens, United States | Trinidad and Tobago | 2-0 | GC
row 9 : July 15, 2013 | Houston, United States | El Salvador | 0-1 | GC
row 10 : September 6, 2013 | Incheon, South Korea | South Korea | 1-4 | F
row 11 : March 5, 2014 | Mitrovica, Kosovo | Kosovo | 0-0 | F

what date did the team get their only win? who did they play that game?

Answer: Trinidad and Tobago
Please answer a question about the following table 

header: Rank | Athlete | Nationality | 2.15 | 2.20 | 2.24 | 2.27 | Result | Notes row 1 : 1.0 | Yaroslav Rybakov | Russia | o | o | o | o | 2.27 | q
row 2 : 1.0 | Andriy Sokolovskyy | Ukraine | o | o | o | o | 2.27 | q
row 3 : 1.0 | Stefan Holm | Sweden | o | o | o | o | 2.27 | q
row 4 : 1.0 | Andrey Tereshin | Russia | o | o | o | o | 2.27 | q
row 5 : 1.0 | Victor Moya | Cuba | o | o | o | o | 2.27 | q, PB
row 6 : 1.0 | Linus Thornblad | Sweden | o | o | o | o | 2.27 | q
row 7 : 7.0 | Giulio Ciotti | Italy | o | o | o | xxx | 2.24 | q
row 8 : 8.0 | Robert Wolski | Poland | xo | o | o | xxx | 2.24 | q
row 9 : 9.0 | Ramsay Carelse | South Africa | xo | xo | o | xxx | 2.24 | nan
row 10 : 10.0 | Tora Harris | United States | o | o | xo | xxx | 2.24 | nan
row 11 : 10.0 | Nicola Ciotti | Italy | o | o | xo | xxx | 2.24 | nan
row 12 : 10.0 | Wojciech Theiner | Poland | o | o | xo | xxx | 2.24 | nan
row 13 : 13.0 | Tomas Janku | Czech Republic | o | o | xxo | xxx | 2.24 | nan
row 14 : 13.0 | Mustapha Raifak | France | o | o | xxo | xxx | 2.24 | nan
row 15 : 15.0 | Svatoslav Ton | Czech Republic | o | xo | xxx | nan | 2.2 | nan
row 16 : 16.0 | Adam Shunk | United States | o | xxx | nan | 2.15 | nan | nan
row 17 : 16.0 | Roman Fricke | Germany | o | xxx | nan | 2.15 | nan | nan

who are all of the athletes?

Answer: Yaroslav Rybakov, Andriy Sokolovskyy, Stefan Holm, Andrey Tereshin, Victor Moya, Linus Thornblad, Giulio Ciotti, Robert Wolski, Ramsay Carelse, Tora Harris, Nicola Ciotti, Wojciech Theiner, Tomas Janku, Mustapha Raifak, Svatoslav Ton, Adam Shunk, Roman Fricke
Please answer a question about the following table 

header: Rank | Athlete | Nationality | 2.15 | 2.20 | 2.24 | 2.27 | Result | Notes row 1 : 1.0 | Yaroslav Rybakov | Russia | o | o | o | o | 2.27 | q
row 2 : 1.0 | Andriy Sokolovskyy | Ukraine | o | o | o | o | 2.27 | q
row 3 : 1.0 | Stefan Holm | Sweden | o | o | o | o | 2.27 | q
row 4 : 1.0 | Andrey Tereshin | Russia | o | o | o | o | 2.27 | q
row 5 : 1.0 | Victor Moya | Cuba | o | o | o | o | 2.27 | q, PB
row 6 : 1.0 | Linus Thornblad | Sweden | o | o | o | o | 2.27 | q
row 7 : 7.0 | Giulio Ciotti | Italy | o | o | o | xxx | 2.24 | q
row 8 : 8.0 | Robert Wolski | Poland | xo | o | o | xxx | 2.24 | q
row 9 : 9.0 | Ramsay Carelse | South Africa | xo | xo | o | xxx | 2.24 | nan
row 10 : 10.0 | Tora Harris | United States | o | o | xo | xxx | 2.24 | nan
row 11 : 10.0 | Nicola Ciotti | Italy | o | o | xo | xxx | 2.24 | nan
row 12 : 10.0 | Wojciech Theiner | Poland | o | o | xo | xxx | 2.24 | nan
row 13 : 13.0 | Tomas Janku | Czech Republic | o | o | xxo | xxx | 2.24 | nan
row 14 : 13.0 | Mustapha Raifak | France | o | o | xxo | xxx | 2.24 | nan
row 15 : 15.0 | Svatoslav Ton | Czech Republic | o | xo | xxx | nan | 2.2 | nan
row 16 : 16.0 | Adam Shunk | United States | o | xxx | nan | 2.15 | nan | nan
row 17 : 16.0 | Roman Fricke | Germany | o | xxx | nan | 2.15 | nan | nan

who are all of the athletes? what were their result scores?

Answer: 2.27, 2.27, 2.27, 2.27, 2.27, 2.27, 2.24, 2.24, 2.24, 2.24, 2.24, 2.24, 2.24, 2.24, 2.20, ,
Please answer a question about the following table 

header: Rank | Athlete | Nationality | 2.15 | 2.20 | 2.24 | 2.27 | Result | Notes row 1 : 1.0 | Yaroslav Rybakov | Russia | o | o | o | o | 2.27 | q
row 2 : 1.0 | Andriy Sokolovskyy | Ukraine | o | o | o | o | 2.27 | q
row 3 : 1.0 | Stefan Holm | Sweden | o | o | o | o | 2.27 | q
row 4 : 1.0 | Andrey Tereshin | Russia | o | o | o | o | 2.27 | q
row 5 : 1.0 | Victor Moya | Cuba | o | o | o | o | 2.27 | q, PB
row 6 : 1.0 | Linus Thornblad | Sweden | o | o | o | o | 2.27 | q
row 7 : 7.0 | Giulio Ciotti | Italy | o | o | o | xxx | 2.24 | q
row 8 : 8.0 | Robert Wolski | Poland | xo | o | o | xxx | 2.24 | q
row 9 : 9.0 | Ramsay Carelse | South Africa | xo | xo | o | xxx | 2.24 | nan
row 10 : 10.0 | Tora Harris | United States | o | o | xo | xxx | 2.24 | nan
row 11 : 10.0 | Nicola Ciotti | Italy | o | o | xo | xxx | 2.24 | nan
row 12 : 10.0 | Wojciech Theiner | Poland | o | o | xo | xxx | 2.24 | nan
row 13 : 13.0 | Tomas Janku | Czech Republic | o | o | xxo | xxx | 2.24 | nan
row 14 : 13.0 | Mustapha Raifak | France | o | o | xxo | xxx | 2.24 | nan
row 15 : 15.0 | Svatoslav Ton | Czech Republic | o | xo | xxx | nan | 2.2 | nan
row 16 : 16.0 | Adam Shunk | United States | o | xxx | nan | 2.15 | nan | nan
row 17 : 16.0 | Roman Fricke | Germany | o | xxx | nan | 2.15 | nan | nan

who are all of the athletes? what were their result scores? what about just adam shunk?

Answer: @NULL@
Please answer a question about the following table 

header: Rank | Athlete | Nationality | 2.15 | 2.20 | 2.24 | 2.27 | Result | Notes row 1 : 1.0 | Yaroslav Rybakov | Russia | o | o | o | o | 2.27 | q
row 2 : 1.0 | Andriy Sokolovskyy | Ukraine | o | o | o | o | 2.27 | q
row 3 : 1.0 | Stefan Holm | Sweden | o | o | o | o | 2.27 | q
row 4 : 1.0 | Andrey Tereshin | Russia | o | o | o | o | 2.27 | q
row 5 : 1.0 | Victor Moya | Cuba | o | o | o | o | 2.27 | q, PB
row 6 : 1.0 | Linus Thornblad | Sweden | o | o | o | o | 2.27 | q
row 7 : 7.0 | Giulio Ciotti | Italy | o | o | o | xxx | 2.24 | q
row 8 : 8.0 | Robert Wolski | Poland | xo | o | o | xxx | 2.24 | q
row 9 : 9.0 | Ramsay Carelse | South Africa | xo | xo | o | xxx | 2.24 | nan
row 10 : 10.0 | Tora Harris | United States | o | o | xo | xxx | 2.24 | nan
row 11 : 10.0 | Nicola Ciotti | Italy | o | o | xo | xxx | 2.24 | nan
row 12 : 10.0 | Wojciech Theiner | Poland | o | o | xo | xxx | 2.24 | nan
row 13 : 13.0 | Tomas Janku | Czech Republic | o | o | xxo | xxx | 2.24 | nan
row 14 : 13.0 | Mustapha Raifak | France | o | o | xxo | xxx | 2.24 | nan
row 15 : 15.0 | Svatoslav Ton | Czech Republic | o | xo | xxx | nan | 2.2 | nan
row 16 : 16.0 | Adam Shunk | United States | o | xxx | nan | 2.15 | nan | nan
row 17 : 16.0 | Roman Fricke | Germany | o | xxx | nan | 2.15 | nan | nan

who are all of the athletes? what were their result scores? what about just adam shunk? who else had no score?

Answer: Roman Fricke
Please answer a question about the following table 

header: Rank | Athlete | Nationality | 2.15 | 2.20 | 2.24 | 2.27 | Result | Notes row 1 : 1.0 | Yaroslav Rybakov | Russia | o | o | o | o | 2.27 | q
row 2 : 1.0 | Andriy Sokolovskyy | Ukraine | o | o | o | o | 2.27 | q
row 3 : 1.0 | Stefan Holm | Sweden | o | o | o | o | 2.27 | q
row 4 : 1.0 | Andrey Tereshin | Russia | o | o | o | o | 2.27 | q
row 5 : 1.0 | Victor Moya | Cuba | o | o | o | o | 2.27 | q, PB
row 6 : 1.0 | Linus Thornblad | Sweden | o | o | o | o | 2.27 | q
row 7 : 7.0 | Giulio Ciotti | Italy | o | o | o | xxx | 2.24 | q
row 8 : 8.0 | Robert Wolski | Poland | xo | o | o | xxx | 2.24 | q
row 9 : 9.0 | Ramsay Carelse | South Africa | xo | xo | o | xxx | 2.24 | nan
row 10 : 10.0 | Tora Harris | United States | o | o | xo | xxx | 2.24 | nan
row 11 : 10.0 | Nicola Ciotti | Italy | o | o | xo | xxx | 2.24 | nan
row 12 : 10.0 | Wojciech Theiner | Poland | o | o | xo | xxx | 2.24 | nan
row 13 : 13.0 | Tomas Janku | Czech Republic | o | o | xxo | xxx | 2.24 | nan
row 14 : 13.0 | Mustapha Raifak | France | o | o | xxo | xxx | 2.24 | nan
row 15 : 15.0 | Svatoslav Ton | Czech Republic | o | xo | xxx | nan | 2.2 | nan
row 16 : 16.0 | Adam Shunk | United States | o | xxx | nan | 2.15 | nan | nan
row 17 : 16.0 | Roman Fricke | Germany | o | xxx | nan | 2.15 | nan | nan

who are all of the athletes? of these, who had a score of 2.15?

Answer: Adam Shunk, Roman Fricke
Please answer a question about the following table 

header: Rank | Athlete | Nationality | 2.15 | 2.20 | 2.24 | 2.27 | Result | Notes row 1 : 1.0 | Yaroslav Rybakov | Russia | o | o | o | o | 2.27 | q
row 2 : 1.0 | Andriy Sokolovskyy | Ukraine | o | o | o | o | 2.27 | q
row 3 : 1.0 | Stefan Holm | Sweden | o | o | o | o | 2.27 | q
row 4 : 1.0 | Andrey Tereshin | Russia | o | o | o | o | 2.27 | q
row 5 : 1.0 | Victor Moya | Cuba | o | o | o | o | 2.27 | q, PB
row 6 : 1.0 | Linus Thornblad | Sweden | o | o | o | o | 2.27 | q
row 7 : 7.0 | Giulio Ciotti | Italy | o | o | o | xxx | 2.24 | q
row 8 : 8.0 | Robert Wolski | Poland | xo | o | o | xxx | 2.24 | q
row 9 : 9.0 | Ramsay Carelse | South Africa | xo | xo | o | xxx | 2.24 | nan
row 10 : 10.0 | Tora Harris | United States | o | o | xo | xxx | 2.24 | nan
row 11 : 10.0 | Nicola Ciotti | Italy | o | o | xo | xxx | 2.24 | nan
row 12 : 10.0 | Wojciech Theiner | Poland | o | o | xo | xxx | 2.24 | nan
row 13 : 13.0 | Tomas Janku | Czech Republic | o | o | xxo | xxx | 2.24 | nan
row 14 : 13.0 | Mustapha Raifak | France | o | o | xxo | xxx | 2.24 | nan
row 15 : 15.0 | Svatoslav Ton | Czech Republic | o | xo | xxx | nan | 2.2 | nan
row 16 : 16.0 | Adam Shunk | United States | o | xxx | nan | 2.15 | nan | nan
row 17 : 16.0 | Roman Fricke | Germany | o | xxx | nan | 2.15 | nan | nan

who are all of the athletes? of these, who had a score of 2.15? of these two, who is from germany?

Answer: Roman Fricke
Please answer a question about the following table 

header: Rank | Athlete | Nationality | 2.15 | 2.20 | 2.24 | 2.27 | Result | Notes row 1 : 1.0 | Yaroslav Rybakov | Russia | o | o | o | o | 2.27 | q
row 2 : 1.0 | Andriy Sokolovskyy | Ukraine | o | o | o | o | 2.27 | q
row 3 : 1.0 | Stefan Holm | Sweden | o | o | o | o | 2.27 | q
row 4 : 1.0 | Andrey Tereshin | Russia | o | o | o | o | 2.27 | q
row 5 : 1.0 | Victor Moya | Cuba | o | o | o | o | 2.27 | q, PB
row 6 : 1.0 | Linus Thornblad | Sweden | o | o | o | o | 2.27 | q
row 7 : 7.0 | Giulio Ciotti | Italy | o | o | o | xxx | 2.24 | q
row 8 : 8.0 | Robert Wolski | Poland | xo | o | o | xxx | 2.24 | q
row 9 : 9.0 | Ramsay Carelse | South Africa | xo | xo | o | xxx | 2.24 | nan
row 10 : 10.0 | Tora Harris | United States | o | o | xo | xxx | 2.24 | nan
row 11 : 10.0 | Nicola Ciotti | Italy | o | o | xo | xxx | 2.24 | nan
row 12 : 10.0 | Wojciech Theiner | Poland | o | o | xo | xxx | 2.24 | nan
row 13 : 13.0 | Tomas Janku | Czech Republic | o | o | xxo | xxx | 2.24 | nan
row 14 : 13.0 | Mustapha Raifak | France | o | o | xxo | xxx | 2.24 | nan
row 15 : 15.0 | Svatoslav Ton | Czech Republic | o | xo | xxx | nan | 2.2 | nan
row 16 : 16.0 | Adam Shunk | United States | o | xxx | nan | 2.15 | nan | nan
row 17 : 16.0 | Roman Fricke | Germany | o | xxx | nan | 2.15 | nan | nan

what athletes competed in the men's high jump?

Answer: Yaroslav Rybakov, Andriy Sokolovskyy, Stefan Holm, Andrey Tereshin, Victor Moya, Linus Thornblad, Giulio Ciotti, Robert Wolski, Ramsay Carelse, Tora Harris, Nicola Ciotti, Wojciech Theiner, Tomas Janku, Mustapha Raifak, Svatoslav Ton, Adam Shunk, Roman Fricke
Please answer a question about the following table 

header: Rank | Athlete | Nationality | 2.15 | 2.20 | 2.24 | 2.27 | Result | Notes row 1 : 1.0 | Yaroslav Rybakov | Russia | o | o | o | o | 2.27 | q
row 2 : 1.0 | Andriy Sokolovskyy | Ukraine | o | o | o | o | 2.27 | q
row 3 : 1.0 | Stefan Holm | Sweden | o | o | o | o | 2.27 | q
row 4 : 1.0 | Andrey Tereshin | Russia | o | o | o | o | 2.27 | q
row 5 : 1.0 | Victor Moya | Cuba | o | o | o | o | 2.27 | q, PB
row 6 : 1.0 | Linus Thornblad | Sweden | o | o | o | o | 2.27 | q
row 7 : 7.0 | Giulio Ciotti | Italy | o | o | o | xxx | 2.24 | q
row 8 : 8.0 | Robert Wolski | Poland | xo | o | o | xxx | 2.24 | q
row 9 : 9.0 | Ramsay Carelse | South Africa | xo | xo | o | xxx | 2.24 | nan
row 10 : 10.0 | Tora Harris | United States | o | o | xo | xxx | 2.24 | nan
row 11 : 10.0 | Nicola Ciotti | Italy | o | o | xo | xxx | 2.24 | nan
row 12 : 10.0 | Wojciech Theiner | Poland | o | o | xo | xxx | 2.24 | nan
row 13 : 13.0 | Tomas Janku | Czech Republic | o | o | xxo | xxx | 2.24 | nan
row 14 : 13.0 | Mustapha Raifak | France | o | o | xxo | xxx | 2.24 | nan
row 15 : 15.0 | Svatoslav Ton | Czech Republic | o | xo | xxx | nan | 2.2 | nan
row 16 : 16.0 | Adam Shunk | United States | o | xxx | nan | 2.15 | nan | nan
row 17 : 16.0 | Roman Fricke | Germany | o | xxx | nan | 2.15 | nan | nan

what athletes competed in the men's high jump? what was adam shunk's ranking?

Answer: 16.
Please answer a question about the following table 

header: Rank | Athlete | Nationality | 2.15 | 2.20 | 2.24 | 2.27 | Result | Notes row 1 : 1.0 | Yaroslav Rybakov | Russia | o | o | o | o | 2.27 | q
row 2 : 1.0 | Andriy Sokolovskyy | Ukraine | o | o | o | o | 2.27 | q
row 3 : 1.0 | Stefan Holm | Sweden | o | o | o | o | 2.27 | q
row 4 : 1.0 | Andrey Tereshin | Russia | o | o | o | o | 2.27 | q
row 5 : 1.0 | Victor Moya | Cuba | o | o | o | o | 2.27 | q, PB
row 6 : 1.0 | Linus Thornblad | Sweden | o | o | o | o | 2.27 | q
row 7 : 7.0 | Giulio Ciotti | Italy | o | o | o | xxx | 2.24 | q
row 8 : 8.0 | Robert Wolski | Poland | xo | o | o | xxx | 2.24 | q
row 9 : 9.0 | Ramsay Carelse | South Africa | xo | xo | o | xxx | 2.24 | nan
row 10 : 10.0 | Tora Harris | United States | o | o | xo | xxx | 2.24 | nan
row 11 : 10.0 | Nicola Ciotti | Italy | o | o | xo | xxx | 2.24 | nan
row 12 : 10.0 | Wojciech Theiner | Poland | o | o | xo | xxx | 2.24 | nan
row 13 : 13.0 | Tomas Janku | Czech Republic | o | o | xxo | xxx | 2.24 | nan
row 14 : 13.0 | Mustapha Raifak | France | o | o | xxo | xxx | 2.24 | nan
row 15 : 15.0 | Svatoslav Ton | Czech Republic | o | xo | xxx | nan | 2.2 | nan
row 16 : 16.0 | Adam Shunk | United States | o | xxx | nan | 2.15 | nan | nan
row 17 : 16.0 | Roman Fricke | Germany | o | xxx | nan | 2.15 | nan | nan

what athletes competed in the men's high jump? what was adam shunk's ranking? what other ranking tied this?

Answer: 16.
Please answer a question about the following table 

header: Rank | Athlete | Nationality | 2.15 | 2.20 | 2.24 | 2.27 | Result | Notes row 1 : 1.0 | Yaroslav Rybakov | Russia | o | o | o | o | 2.27 | q
row 2 : 1.0 | Andriy Sokolovskyy | Ukraine | o | o | o | o | 2.27 | q
row 3 : 1.0 | Stefan Holm | Sweden | o | o | o | o | 2.27 | q
row 4 : 1.0 | Andrey Tereshin | Russia | o | o | o | o | 2.27 | q
row 5 : 1.0 | Victor Moya | Cuba | o | o | o | o | 2.27 | q, PB
row 6 : 1.0 | Linus Thornblad | Sweden | o | o | o | o | 2.27 | q
row 7 : 7.0 | Giulio Ciotti | Italy | o | o | o | xxx | 2.24 | q
row 8 : 8.0 | Robert Wolski | Poland | xo | o | o | xxx | 2.24 | q
row 9 : 9.0 | Ramsay Carelse | South Africa | xo | xo | o | xxx | 2.24 | nan
row 10 : 10.0 | Tora Harris | United States | o | o | xo | xxx | 2.24 | nan
row 11 : 10.0 | Nicola Ciotti | Italy | o | o | xo | xxx | 2.24 | nan
row 12 : 10.0 | Wojciech Theiner | Poland | o | o | xo | xxx | 2.24 | nan
row 13 : 13.0 | Tomas Janku | Czech Republic | o | o | xxo | xxx | 2.24 | nan
row 14 : 13.0 | Mustapha Raifak | France | o | o | xxo | xxx | 2.24 | nan
row 15 : 15.0 | Svatoslav Ton | Czech Republic | o | xo | xxx | nan | 2.2 | nan
row 16 : 16.0 | Adam Shunk | United States | o | xxx | nan | 2.15 | nan | nan
row 17 : 16.0 | Roman Fricke | Germany | o | xxx | nan | 2.15 | nan | nan

what athletes competed in the men's high jump? what was adam shunk's ranking? what other ranking tied this? what driver had this ranking?

Answer: Roman Fricke
Please answer a question about the following table 

header: Network name | Flagship | Programming type | Owner | Affiliates row 1 : Canal de las Estrellas | XEW 2 | soap operas, retro movies and sports | Televisa | 10
row 2 : Canal 5 | XHGC 5 | cartoons, movies, and series | Televisa | 4
row 3 : Azteca 7 | XHIMT 7 | sports, series, and movies | TV Azteca | 5
row 4 : Galavision | XEQ 9 | retro programming and sports | Televisa | 1
row 5 : TV 10 Chiapas | XHTTG | educational | Gobierno del Estad | 7
row 6 : Azteca 13 | XHDF 13 | news, soap operas, and sports | TV Azteca | 4
row 7 : Independent | nan | varies | Independent | 3

what are the names of the television stations in chiapas?

Answer: Canal de las Estrellas, Canal 5, Azteca 7, Galavision, TV 10 Chiapas, Azteca 13, Independent
Please answer a question about the following table 

header: Network name | Flagship | Programming type | Owner | Affiliates row 1 : Canal de las Estrellas | XEW 2 | soap operas, retro movies and sports | Televisa | 10
row 2 : Canal 5 | XHGC 5 | cartoons, movies, and series | Televisa | 4
row 3 : Azteca 7 | XHIMT 7 | sports, series, and movies | TV Azteca | 5
row 4 : Galavision | XEQ 9 | retro programming and sports | Televisa | 1
row 5 : TV 10 Chiapas | XHTTG | educational | Gobierno del Estad | 7
row 6 : Azteca 13 | XHDF 13 | news, soap operas, and sports | TV Azteca | 4
row 7 : Independent | nan | varies | Independent | 3

what are the names of the television stations in chiapas? of these who offers only educational programming?

Answer: TV 10 Chiapas
Please answer a question about the following table 

header: Network name | Flagship | Programming type | Owner | Affiliates row 1 : Canal de las Estrellas | XEW 2 | soap operas, retro movies and sports | Televisa | 10
row 2 : Canal 5 | XHGC 5 | cartoons, movies, and series | Televisa | 4
row 3 : Azteca 7 | XHIMT 7 | sports, series, and movies | TV Azteca | 5
row 4 : Galavision | XEQ 9 | retro programming and sports | Televisa | 1
row 5 : TV 10 Chiapas | XHTTG | educational | Gobierno del Estad | 7
row 6 : Azteca 13 | XHDF 13 | news, soap operas, and sports | TV Azteca | 4
row 7 : Independent | nan | varies | Independent | 3

what are all of the network names? and their programming type?

Answer: soap operas, retro movies and sports, cartoons, movies, and series, sports, series, and movies, retro programming and sports, educational, news, soap operas, and sports, varies
Please answer a question about the following table 

header: Network name | Flagship | Programming type | Owner | Affiliates row 1 : Canal de las Estrellas | XEW 2 | soap operas, retro movies and sports | Televisa | 10
row 2 : Canal 5 | XHGC 5 | cartoons, movies, and series | Televisa | 4
row 3 : Azteca 7 | XHIMT 7 | sports, series, and movies | TV Azteca | 5
row 4 : Galavision | XEQ 9 | retro programming and sports | Televisa | 1
row 5 : TV 10 Chiapas | XHTTG | educational | Gobierno del Estad | 7
row 6 : Azteca 13 | XHDF 13 | news, soap operas, and sports | TV Azteca | 4
row 7 : Independent | nan | varies | Independent | 3

what are all of the network names? and their programming type? which network offers educational programming?

Answer: TV 10 Chiapas
Please answer a question about the following table 

header: Network name | Flagship | Programming type | Owner | Affiliates row 1 : Canal de las Estrellas | XEW 2 | soap operas, retro movies and sports | Televisa | 10
row 2 : Canal 5 | XHGC 5 | cartoons, movies, and series | Televisa | 4
row 3 : Azteca 7 | XHIMT 7 | sports, series, and movies | TV Azteca | 5
row 4 : Galavision | XEQ 9 | retro programming and sports | Televisa | 1
row 5 : TV 10 Chiapas | XHTTG | educational | Gobierno del Estad | 7
row 6 : Azteca 13 | XHDF 13 | news, soap operas, and sports | TV Azteca | 4
row 7 : Independent | nan | varies | Independent | 3

what channel only has educational programming?

Answer: XHTTG
Please answer a question about the following table 

header: Network name | Flagship | Programming type | Owner | Affiliates row 1 : Canal de las Estrellas | XEW 2 | soap operas, retro movies and sports | Televisa | 10
row 2 : Canal 5 | XHGC 5 | cartoons, movies, and series | Televisa | 4
row 3 : Azteca 7 | XHIMT 7 | sports, series, and movies | TV Azteca | 5
row 4 : Galavision | XEQ 9 | retro programming and sports | Televisa | 1
row 5 : TV 10 Chiapas | XHTTG | educational | Gobierno del Estad | 7
row 6 : Azteca 13 | XHDF 13 | news, soap operas, and sports | TV Azteca | 4
row 7 : Independent | nan | varies | Independent | 3

what channel only has educational programming? what is that network's name?

Answer: TV 10 Chiapas
Please answer a question about the following table 

header: Category | Examples | Cancers | Gene functions row 1 : Growth factors, or mitogens | c-Sis | glioblastomas, fibros | induces cell proliferation.
row 2 : Receptor tyrosine kin | epidermal growth factor receptor (EGFR), | Breast cancer, gastrointestinal stromal tumours | transduce signals for cell growth and differentiation.
row 3 : Cytoplasmic tyrosine  | Src-family, Syk-Z | colorectal and breast cancers, me | mediate the responses to, and the activ
row 4 : Cytoplasmic Serine/threon | Raf kinase, and  | malignant melanoma, papillar | Involved in organism development, cell cycle
row 5 : Regulatory GTPases | Ras protein | adenocarcinomas of the pan | involved in signalling a major pathway leading to
row 6 : Transcription factors | myc gene | malignant T-cell lymphomas and acute | -They regulate transcription of genes that induce cell

what gene functions are listed?

Answer: Growth factors, or mitogens, Receptor tyrosine kinases, Cytoplasmic tyrosine kinases, Cytoplasmic Serine/threonine kinases and their regulatory subunits, Regulatory GTPases, Transcription factors