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

header: Team | City | Venue | Capacity | Head Coach | Team Captain | Past Season row 1 : Aboomoslem | Mashhad | Samen | 35,000 | Ali Hanteh | Saeed Khani | 4th
row 2 : Bargh Shiraz | Shiraz | Hafezieh | 20,000 | Rasoul Korbekandi | Sattar Zare | 7th
row 3 : Damash Gilan | Rasht | Sardar Jangal | 15,000 | Stanko Poklepovic | Mohammad Reza Mahdavi | 15th
row 4 : Est. Ahvaz | Ahvaz | Takhti Ahvaz | 30,000 | Khodadad Azizi | Afshin Komaei | 8th
row 5 : Esteghlal | Tehran | Azadi | 90,000 | Amir Ghalenoei | Farhad Majidi | 13th
row 6 : Foolad | Ahvaz | Takhti Ahvaz | 15,000 | Majid Jalali | Ali Badavi | Qualifier
row 7 : Malavan | Anzali | Takhti Anzali | 8,000 | Mohammad Ahmadzadeh | Masoud Gholamalizad | 16th
row 8 : Mes Kerman | Kerman | Shahid Bahonar | 15,000 | Parviz Mazloomi | Farzad Hosseinkhani | 10th
row 9 : Moghavemat | Shiraz | Hafezieh | 20,000 | Gholam Hossein Peyrovani | Mostafa Sabri | 14th
row 10 : Pas Hamedan | Hamedan | Ghods | 5,000 | Vinko Begovic | Omid Khouraj | 5th
row 11 : Paykan | Qazvin | Shahid Rajaei | 5,000 | Ali Asghar Modir Roosta | Mohammad Reza Tahmaseb | 9th
row 12 : Payam | Mashhad | Samen | 35,000 | Kazem Ghiyasiyan | Mehdi Hasheminasa | Qualifier
row 13 : Persepolis | Tehran | Azadi | 90,000 | Nelo Vingada | Karim Bagheri | Champion
row 14 : Rah Ahan | Rey, Iran | Rah Ahan | 15,000 | Mehdi Tartar | Ahmad Taghavi | 12th
row 15 : Saba Qom | Qom | Yadegar Emam | 15,000 | Firouz Karimi | Yahya Golmohammad | 3rd
row 16 : Saipa | Karaj | Enghelab Karaj | 15,000 | Mohammad Mayeli Kohan | Ebrahim Sadeghi | 11th
row 17 : Sepahan | Esfahan | Foolad Shahr | 25,000 | Farhad Kazemi | Moharram Navidkia | 2nd
row 18 : Zob Ahan | Esfahan | Foolad Shahr | 25,000 | Mansour Ebrahimzadeh | Mohammad Salsali | 6th

what city was ghods in? what team played there?

Answer: Pas Hamedan
Please answer a question about the following table 

header: Team | City | Venue | Capacity | Head Coach | Team Captain | Past Season row 1 : Aboomoslem | Mashhad | Samen | 35,000 | Ali Hanteh | Saeed Khani | 4th
row 2 : Bargh Shiraz | Shiraz | Hafezieh | 20,000 | Rasoul Korbekandi | Sattar Zare | 7th
row 3 : Damash Gilan | Rasht | Sardar Jangal | 15,000 | Stanko Poklepovic | Mohammad Reza Mahdavi | 15th
row 4 : Est. Ahvaz | Ahvaz | Takhti Ahvaz | 30,000 | Khodadad Azizi | Afshin Komaei | 8th
row 5 : Esteghlal | Tehran | Azadi | 90,000 | Amir Ghalenoei | Farhad Majidi | 13th
row 6 : Foolad | Ahvaz | Takhti Ahvaz | 15,000 | Majid Jalali | Ali Badavi | Qualifier
row 7 : Malavan | Anzali | Takhti Anzali | 8,000 | Mohammad Ahmadzadeh | Masoud Gholamalizad | 16th
row 8 : Mes Kerman | Kerman | Shahid Bahonar | 15,000 | Parviz Mazloomi | Farzad Hosseinkhani | 10th
row 9 : Moghavemat | Shiraz | Hafezieh | 20,000 | Gholam Hossein Peyrovani | Mostafa Sabri | 14th
row 10 : Pas Hamedan | Hamedan | Ghods | 5,000 | Vinko Begovic | Omid Khouraj | 5th
row 11 : Paykan | Qazvin | Shahid Rajaei | 5,000 | Ali Asghar Modir Roosta | Mohammad Reza Tahmaseb | 9th
row 12 : Payam | Mashhad | Samen | 35,000 | Kazem Ghiyasiyan | Mehdi Hasheminasa | Qualifier
row 13 : Persepolis | Tehran | Azadi | 90,000 | Nelo Vingada | Karim Bagheri | Champion
row 14 : Rah Ahan | Rey, Iran | Rah Ahan | 15,000 | Mehdi Tartar | Ahmad Taghavi | 12th
row 15 : Saba Qom | Qom | Yadegar Emam | 15,000 | Firouz Karimi | Yahya Golmohammad | 3rd
row 16 : Saipa | Karaj | Enghelab Karaj | 15,000 | Mohammad Mayeli Kohan | Ebrahim Sadeghi | 11th
row 17 : Sepahan | Esfahan | Foolad Shahr | 25,000 | Farhad Kazemi | Moharram Navidkia | 2nd
row 18 : Zob Ahan | Esfahan | Foolad Shahr | 25,000 | Mansour Ebrahimzadeh | Mohammad Salsali | 6th

what are the names of all of the teams?

Answer: Aboomoslem, Bargh Shiraz, Damash Gilan, Est. Ahvaz, Esteghlal, Foolad, Malavan, Mes Kerman, Moghavemat, Pas Hamedan, Paykan, Payam, Persepolis, Rah Ahan, Saba Qom, Saipa, Sepahan, Zob Ahan
Please answer a question about the following table 

header: Team | City | Venue | Capacity | Head Coach | Team Captain | Past Season row 1 : Aboomoslem | Mashhad | Samen | 35,000 | Ali Hanteh | Saeed Khani | 4th
row 2 : Bargh Shiraz | Shiraz | Hafezieh | 20,000 | Rasoul Korbekandi | Sattar Zare | 7th
row 3 : Damash Gilan | Rasht | Sardar Jangal | 15,000 | Stanko Poklepovic | Mohammad Reza Mahdavi | 15th
row 4 : Est. Ahvaz | Ahvaz | Takhti Ahvaz | 30,000 | Khodadad Azizi | Afshin Komaei | 8th
row 5 : Esteghlal | Tehran | Azadi | 90,000 | Amir Ghalenoei | Farhad Majidi | 13th
row 6 : Foolad | Ahvaz | Takhti Ahvaz | 15,000 | Majid Jalali | Ali Badavi | Qualifier
row 7 : Malavan | Anzali | Takhti Anzali | 8,000 | Mohammad Ahmadzadeh | Masoud Gholamalizad | 16th
row 8 : Mes Kerman | Kerman | Shahid Bahonar | 15,000 | Parviz Mazloomi | Farzad Hosseinkhani | 10th
row 9 : Moghavemat | Shiraz | Hafezieh | 20,000 | Gholam Hossein Peyrovani | Mostafa Sabri | 14th
row 10 : Pas Hamedan | Hamedan | Ghods | 5,000 | Vinko Begovic | Omid Khouraj | 5th
row 11 : Paykan | Qazvin | Shahid Rajaei | 5,000 | Ali Asghar Modir Roosta | Mohammad Reza Tahmaseb | 9th
row 12 : Payam | Mashhad | Samen | 35,000 | Kazem Ghiyasiyan | Mehdi Hasheminasa | Qualifier
row 13 : Persepolis | Tehran | Azadi | 90,000 | Nelo Vingada | Karim Bagheri | Champion
row 14 : Rah Ahan | Rey, Iran | Rah Ahan | 15,000 | Mehdi Tartar | Ahmad Taghavi | 12th
row 15 : Saba Qom | Qom | Yadegar Emam | 15,000 | Firouz Karimi | Yahya Golmohammad | 3rd
row 16 : Saipa | Karaj | Enghelab Karaj | 15,000 | Mohammad Mayeli Kohan | Ebrahim Sadeghi | 11th
row 17 : Sepahan | Esfahan | Foolad Shahr | 25,000 | Farhad Kazemi | Moharram Navidkia | 2nd
row 18 : Zob Ahan | Esfahan | Foolad Shahr | 25,000 | Mansour Ebrahimzadeh | Mohammad Salsali | 6th

what are the names of all of the teams? what are the names of all of the venues?

Answer: Samen, Hafezieh, Sardar Jangal, Takhti Ahvaz, Azadi, Takhti Ahvaz, Takhti Anzali, Shahid Bahonar, Hafezieh, Ghods, Shahid Rajaei, Samen, Azadi, Rah Ahan, Yadegar Emam, Enghelab Karaj, Foolad Shahr, Foolad Shahr
Please answer a question about the following table 

header: Team | City | Venue | Capacity | Head Coach | Team Captain | Past Season row 1 : Aboomoslem | Mashhad | Samen | 35,000 | Ali Hanteh | Saeed Khani | 4th
row 2 : Bargh Shiraz | Shiraz | Hafezieh | 20,000 | Rasoul Korbekandi | Sattar Zare | 7th
row 3 : Damash Gilan | Rasht | Sardar Jangal | 15,000 | Stanko Poklepovic | Mohammad Reza Mahdavi | 15th
row 4 : Est. Ahvaz | Ahvaz | Takhti Ahvaz | 30,000 | Khodadad Azizi | Afshin Komaei | 8th
row 5 : Esteghlal | Tehran | Azadi | 90,000 | Amir Ghalenoei | Farhad Majidi | 13th
row 6 : Foolad | Ahvaz | Takhti Ahvaz | 15,000 | Majid Jalali | Ali Badavi | Qualifier
row 7 : Malavan | Anzali | Takhti Anzali | 8,000 | Mohammad Ahmadzadeh | Masoud Gholamalizad | 16th
row 8 : Mes Kerman | Kerman | Shahid Bahonar | 15,000 | Parviz Mazloomi | Farzad Hosseinkhani | 10th
row 9 : Moghavemat | Shiraz | Hafezieh | 20,000 | Gholam Hossein Peyrovani | Mostafa Sabri | 14th
row 10 : Pas Hamedan | Hamedan | Ghods | 5,000 | Vinko Begovic | Omid Khouraj | 5th
row 11 : Paykan | Qazvin | Shahid Rajaei | 5,000 | Ali Asghar Modir Roosta | Mohammad Reza Tahmaseb | 9th
row 12 : Payam | Mashhad | Samen | 35,000 | Kazem Ghiyasiyan | Mehdi Hasheminasa | Qualifier
row 13 : Persepolis | Tehran | Azadi | 90,000 | Nelo Vingada | Karim Bagheri | Champion
row 14 : Rah Ahan | Rey, Iran | Rah Ahan | 15,000 | Mehdi Tartar | Ahmad Taghavi | 12th
row 15 : Saba Qom | Qom | Yadegar Emam | 15,000 | Firouz Karimi | Yahya Golmohammad | 3rd
row 16 : Saipa | Karaj | Enghelab Karaj | 15,000 | Mohammad Mayeli Kohan | Ebrahim Sadeghi | 11th
row 17 : Sepahan | Esfahan | Foolad Shahr | 25,000 | Farhad Kazemi | Moharram Navidkia | 2nd
row 18 : Zob Ahan | Esfahan | Foolad Shahr | 25,000 | Mansour Ebrahimzadeh | Mohammad Salsali | 6th

what are the names of all of the teams? what are the names of all of the venues? which teams played at the venue ghods?

Answer: Pas Hamedan
Please answer a question about the following table 

header: Team | City | Venue | Capacity | Head Coach | Team Captain | Past Season row 1 : Aboomoslem | Mashhad | Samen | 35,000 | Ali Hanteh | Saeed Khani | 4th
row 2 : Bargh Shiraz | Shiraz | Hafezieh | 20,000 | Rasoul Korbekandi | Sattar Zare | 7th
row 3 : Damash Gilan | Rasht | Sardar Jangal | 15,000 | Stanko Poklepovic | Mohammad Reza Mahdavi | 15th
row 4 : Est. Ahvaz | Ahvaz | Takhti Ahvaz | 30,000 | Khodadad Azizi | Afshin Komaei | 8th
row 5 : Esteghlal | Tehran | Azadi | 90,000 | Amir Ghalenoei | Farhad Majidi | 13th
row 6 : Foolad | Ahvaz | Takhti Ahvaz | 15,000 | Majid Jalali | Ali Badavi | Qualifier
row 7 : Malavan | Anzali | Takhti Anzali | 8,000 | Mohammad Ahmadzadeh | Masoud Gholamalizad | 16th
row 8 : Mes Kerman | Kerman | Shahid Bahonar | 15,000 | Parviz Mazloomi | Farzad Hosseinkhani | 10th
row 9 : Moghavemat | Shiraz | Hafezieh | 20,000 | Gholam Hossein Peyrovani | Mostafa Sabri | 14th
row 10 : Pas Hamedan | Hamedan | Ghods | 5,000 | Vinko Begovic | Omid Khouraj | 5th
row 11 : Paykan | Qazvin | Shahid Rajaei | 5,000 | Ali Asghar Modir Roosta | Mohammad Reza Tahmaseb | 9th
row 12 : Payam | Mashhad | Samen | 35,000 | Kazem Ghiyasiyan | Mehdi Hasheminasa | Qualifier
row 13 : Persepolis | Tehran | Azadi | 90,000 | Nelo Vingada | Karim Bagheri | Champion
row 14 : Rah Ahan | Rey, Iran | Rah Ahan | 15,000 | Mehdi Tartar | Ahmad Taghavi | 12th
row 15 : Saba Qom | Qom | Yadegar Emam | 15,000 | Firouz Karimi | Yahya Golmohammad | 3rd
row 16 : Saipa | Karaj | Enghelab Karaj | 15,000 | Mohammad Mayeli Kohan | Ebrahim Sadeghi | 11th
row 17 : Sepahan | Esfahan | Foolad Shahr | 25,000 | Farhad Kazemi | Moharram Navidkia | 2nd
row 18 : Zob Ahan | Esfahan | Foolad Shahr | 25,000 | Mansour Ebrahimzadeh | Mohammad Salsali | 6th

what are all of the teams?

Answer: Aboomoslem, Bargh Shiraz, Damash Gilan, Est. Ahvaz, Esteghlal, Foolad, Malavan, Mes Kerman, Moghavemat, Pas Hamedan, Paykan, Payam, Persepolis, Rah Ahan, Saba Qom, Saipa, Sepahan, Zob Ahan
Please answer a question about the following table 

header: Team | City | Venue | Capacity | Head Coach | Team Captain | Past Season row 1 : Aboomoslem | Mashhad | Samen | 35,000 | Ali Hanteh | Saeed Khani | 4th
row 2 : Bargh Shiraz | Shiraz | Hafezieh | 20,000 | Rasoul Korbekandi | Sattar Zare | 7th
row 3 : Damash Gilan | Rasht | Sardar Jangal | 15,000 | Stanko Poklepovic | Mohammad Reza Mahdavi | 15th
row 4 : Est. Ahvaz | Ahvaz | Takhti Ahvaz | 30,000 | Khodadad Azizi | Afshin Komaei | 8th
row 5 : Esteghlal | Tehran | Azadi | 90,000 | Amir Ghalenoei | Farhad Majidi | 13th
row 6 : Foolad | Ahvaz | Takhti Ahvaz | 15,000 | Majid Jalali | Ali Badavi | Qualifier
row 7 : Malavan | Anzali | Takhti Anzali | 8,000 | Mohammad Ahmadzadeh | Masoud Gholamalizad | 16th
row 8 : Mes Kerman | Kerman | Shahid Bahonar | 15,000 | Parviz Mazloomi | Farzad Hosseinkhani | 10th
row 9 : Moghavemat | Shiraz | Hafezieh | 20,000 | Gholam Hossein Peyrovani | Mostafa Sabri | 14th
row 10 : Pas Hamedan | Hamedan | Ghods | 5,000 | Vinko Begovic | Omid Khouraj | 5th
row 11 : Paykan | Qazvin | Shahid Rajaei | 5,000 | Ali Asghar Modir Roosta | Mohammad Reza Tahmaseb | 9th
row 12 : Payam | Mashhad | Samen | 35,000 | Kazem Ghiyasiyan | Mehdi Hasheminasa | Qualifier
row 13 : Persepolis | Tehran | Azadi | 90,000 | Nelo Vingada | Karim Bagheri | Champion
row 14 : Rah Ahan | Rey, Iran | Rah Ahan | 15,000 | Mehdi Tartar | Ahmad Taghavi | 12th
row 15 : Saba Qom | Qom | Yadegar Emam | 15,000 | Firouz Karimi | Yahya Golmohammad | 3rd
row 16 : Saipa | Karaj | Enghelab Karaj | 15,000 | Mohammad Mayeli Kohan | Ebrahim Sadeghi | 11th
row 17 : Sepahan | Esfahan | Foolad Shahr | 25,000 | Farhad Kazemi | Moharram Navidkia | 2nd
row 18 : Zob Ahan | Esfahan | Foolad Shahr | 25,000 | Mansour Ebrahimzadeh | Mohammad Salsali | 6th

what are all of the teams? at what venue did they play?

Answer: Samen, Hafezieh, Sardar Jangal, Takhti Ahvaz, Azadi, Takhti Ahvaz, Takhti Anzali, Shahid Bahonar, Hafezieh, Ghods, Shahid Rajaei, Samen, Azadi, Rah Ahan, Yadegar Emam, Enghelab Karaj, Foolad Shahr, Foolad Shahr
Please answer a question about the following table 

header: Team | City | Venue | Capacity | Head Coach | Team Captain | Past Season row 1 : Aboomoslem | Mashhad | Samen | 35,000 | Ali Hanteh | Saeed Khani | 4th
row 2 : Bargh Shiraz | Shiraz | Hafezieh | 20,000 | Rasoul Korbekandi | Sattar Zare | 7th
row 3 : Damash Gilan | Rasht | Sardar Jangal | 15,000 | Stanko Poklepovic | Mohammad Reza Mahdavi | 15th
row 4 : Est. Ahvaz | Ahvaz | Takhti Ahvaz | 30,000 | Khodadad Azizi | Afshin Komaei | 8th
row 5 : Esteghlal | Tehran | Azadi | 90,000 | Amir Ghalenoei | Farhad Majidi | 13th
row 6 : Foolad | Ahvaz | Takhti Ahvaz | 15,000 | Majid Jalali | Ali Badavi | Qualifier
row 7 : Malavan | Anzali | Takhti Anzali | 8,000 | Mohammad Ahmadzadeh | Masoud Gholamalizad | 16th
row 8 : Mes Kerman | Kerman | Shahid Bahonar | 15,000 | Parviz Mazloomi | Farzad Hosseinkhani | 10th
row 9 : Moghavemat | Shiraz | Hafezieh | 20,000 | Gholam Hossein Peyrovani | Mostafa Sabri | 14th
row 10 : Pas Hamedan | Hamedan | Ghods | 5,000 | Vinko Begovic | Omid Khouraj | 5th
row 11 : Paykan | Qazvin | Shahid Rajaei | 5,000 | Ali Asghar Modir Roosta | Mohammad Reza Tahmaseb | 9th
row 12 : Payam | Mashhad | Samen | 35,000 | Kazem Ghiyasiyan | Mehdi Hasheminasa | Qualifier
row 13 : Persepolis | Tehran | Azadi | 90,000 | Nelo Vingada | Karim Bagheri | Champion
row 14 : Rah Ahan | Rey, Iran | Rah Ahan | 15,000 | Mehdi Tartar | Ahmad Taghavi | 12th
row 15 : Saba Qom | Qom | Yadegar Emam | 15,000 | Firouz Karimi | Yahya Golmohammad | 3rd
row 16 : Saipa | Karaj | Enghelab Karaj | 15,000 | Mohammad Mayeli Kohan | Ebrahim Sadeghi | 11th
row 17 : Sepahan | Esfahan | Foolad Shahr | 25,000 | Farhad Kazemi | Moharram Navidkia | 2nd
row 18 : Zob Ahan | Esfahan | Foolad Shahr | 25,000 | Mansour Ebrahimzadeh | Mohammad Salsali | 6th

what are all of the teams? at what venue did they play? which team played at ghods?

Answer: Pas Hamedan
Please answer a question about the following table 

header: Representative | Party | Home Town/City | District row 1 : Trey Martinez Fischer | D | San Antonio | 116
row 2 : Philip Cortez | D | San Antonio | 117
row 3 : Joe Farias | D | San Antonio | 118
row 4 : Roland Gutierrez | D | San Antonio | 119
row 5 : Ruth McClendon | D | San Antonio | 120
row 6 : Joe Straus | R | San Antonio | 121
row 7 : Lyle Larson | R | San Antonio | 122
row 8 : Mike Villarreal | D | San Antonio | 123
row 9 : Jose Menendez | D | San Antonio | 124
row 10 : Justin Rodriguez | D | San Antonio | 125

who are all of the representatives?

Answer: Trey Martinez Fischer, Philip Cortez, Joe Farias, Roland Gutierrez, Ruth McClendon, Joe Straus, Lyle Larson, Mike Villarreal, Jose Menendez, Justin Rodriguez
Please answer a question about the following table 

header: Representative | Party | Home Town/City | District row 1 : Trey Martinez Fischer | D | San Antonio | 116
row 2 : Philip Cortez | D | San Antonio | 117
row 3 : Joe Farias | D | San Antonio | 118
row 4 : Roland Gutierrez | D | San Antonio | 119
row 5 : Ruth McClendon | D | San Antonio | 120
row 6 : Joe Straus | R | San Antonio | 121
row 7 : Lyle Larson | R | San Antonio | 122
row 8 : Mike Villarreal | D | San Antonio | 123
row 9 : Jose Menendez | D | San Antonio | 124
row 10 : Justin Rodriguez | D | San Antonio | 125

who are all of the representatives? of these representatives, which ones are republicans?

Answer: Joe Straus, Lyle Larson
Please answer a question about the following table 

header: Representative | Party | Home Town/City | District row 1 : Trey Martinez Fischer | D | San Antonio | 116
row 2 : Philip Cortez | D | San Antonio | 117
row 3 : Joe Farias | D | San Antonio | 118
row 4 : Roland Gutierrez | D | San Antonio | 119
row 5 : Ruth McClendon | D | San Antonio | 120
row 6 : Joe Straus | R | San Antonio | 121
row 7 : Lyle Larson | R | San Antonio | 122
row 8 : Mike Villarreal | D | San Antonio | 123
row 9 : Jose Menendez | D | San Antonio | 124
row 10 : Justin Rodriguez | D | San Antonio | 125

who are all of the representatives? of these representatives, which ones are republicans? of these two, which is from district 122?

Answer: Lyle Larson
Please answer a question about the following table 

header: Representative | Party | Home Town/City | District row 1 : Trey Martinez Fischer | D | San Antonio | 116
row 2 : Philip Cortez | D | San Antonio | 117
row 3 : Joe Farias | D | San Antonio | 118
row 4 : Roland Gutierrez | D | San Antonio | 119
row 5 : Ruth McClendon | D | San Antonio | 120
row 6 : Joe Straus | R | San Antonio | 121
row 7 : Lyle Larson | R | San Antonio | 122
row 8 : Mike Villarreal | D | San Antonio | 123
row 9 : Jose Menendez | D | San Antonio | 124
row 10 : Justin Rodriguez | D | San Antonio | 125

who are the representatives for bexar county, texas?

Answer: Trey Martinez Fischer, Philip Cortez, Joe Farias, Roland Gutierrez, Ruth McClendon, Joe Straus, Lyle Larson, Mike Villarreal, Jose Menendez, Justin Rodriguez
Please answer a question about the following table 

header: Representative | Party | Home Town/City | District row 1 : Trey Martinez Fischer | D | San Antonio | 116
row 2 : Philip Cortez | D | San Antonio | 117
row 3 : Joe Farias | D | San Antonio | 118
row 4 : Roland Gutierrez | D | San Antonio | 119
row 5 : Ruth McClendon | D | San Antonio | 120
row 6 : Joe Straus | R | San Antonio | 121
row 7 : Lyle Larson | R | San Antonio | 122
row 8 : Mike Villarreal | D | San Antonio | 123
row 9 : Jose Menendez | D | San Antonio | 124
row 10 : Justin Rodriguez | D | San Antonio | 125

who are the representatives for bexar county, texas? which of them is a republican?

Answer: Joe Straus, Lyle Larson
Please answer a question about the following table 

header: Representative | Party | Home Town/City | District row 1 : Trey Martinez Fischer | D | San Antonio | 116
row 2 : Philip Cortez | D | San Antonio | 117
row 3 : Joe Farias | D | San Antonio | 118
row 4 : Roland Gutierrez | D | San Antonio | 119
row 5 : Ruth McClendon | D | San Antonio | 120
row 6 : Joe Straus | R | San Antonio | 121
row 7 : Lyle Larson | R | San Antonio | 122
row 8 : Mike Villarreal | D | San Antonio | 123
row 9 : Jose Menendez | D | San Antonio | 124
row 10 : Justin Rodriguez | D | San Antonio | 125

who are the representatives for bexar county, texas? which of them is a republican? which of those is in district 122?

Answer: Lyle Larson
Please answer a question about the following table 

header: Representative | Party | Home Town/City | District row 1 : Trey Martinez Fischer | D | San Antonio | 116
row 2 : Philip Cortez | D | San Antonio | 117
row 3 : Joe Farias | D | San Antonio | 118
row 4 : Roland Gutierrez | D | San Antonio | 119
row 5 : Ruth McClendon | D | San Antonio | 120
row 6 : Joe Straus | R | San Antonio | 121
row 7 : Lyle Larson | R | San Antonio | 122
row 8 : Mike Villarreal | D | San Antonio | 123
row 9 : Jose Menendez | D | San Antonio | 124
row 10 : Justin Rodriguez | D | San Antonio | 125

who are all of the representatives? what party are they in?

Answer: D, D, D, D, D, R, R, D, D, D
Please answer a question about the following table 

header: Representative | Party | Home Town/City | District row 1 : Trey Martinez Fischer | D | San Antonio | 116
row 2 : Philip Cortez | D | San Antonio | 117
row 3 : Joe Farias | D | San Antonio | 118
row 4 : Roland Gutierrez | D | San Antonio | 119
row 5 : Ruth McClendon | D | San Antonio | 120
row 6 : Joe Straus | R | San Antonio | 121
row 7 : Lyle Larson | R | San Antonio | 122
row 8 : Mike Villarreal | D | San Antonio | 123
row 9 : Jose Menendez | D | San Antonio | 124
row 10 : Justin Rodriguez | D | San Antonio | 125

who are all of the representatives? what party are they in? what about just joe strauss?

Answer: R
Please answer a question about the following table 

header: Representative | Party | Home Town/City | District row 1 : Trey Martinez Fischer | D | San Antonio | 116
row 2 : Philip Cortez | D | San Antonio | 117
row 3 : Joe Farias | D | San Antonio | 118
row 4 : Roland Gutierrez | D | San Antonio | 119
row 5 : Ruth McClendon | D | San Antonio | 120
row 6 : Joe Straus | R | San Antonio | 121
row 7 : Lyle Larson | R | San Antonio | 122
row 8 : Mike Villarreal | D | San Antonio | 123
row 9 : Jose Menendez | D | San Antonio | 124
row 10 : Justin Rodriguez | D | San Antonio | 125

who are all of the representatives? what party are they in? what about just joe strauss? who else is in that party?

Answer: Lyle Larson
Please answer a question about the following table 

header: Rank | Nation | Gold | Silver | Bronze | Total row 1 : 1 | Brazil | 7 | 5 | 3 | 15
row 2 : 2 | Venezuela | 3 | 2 | 8 | 13
row 3 : 3 | Colombia | 2 | 3 | 4 | 9
row 4 : 4 | Chile | 2 | 0 | 2 | 4
row 5 : 5 | Argentina | 1 | 2 | 5 | 8
row 6 : 6 | Peru | 1 | 1 | 2 | 4
row 7 : 7 | Ecuador | 0 | 2 | 2 | 4
row 8 : 8 | Guyana | 0 | 1 | 0 | 1
row 9 : 9 | Aruba | 0 | 0 | 1 | 1
row 10 : 9 | Netherlands Antilles | 0 | 0 | 1 | 1
row 11 : 9 | Panama | 0 | 0 | 1 | 1
row 12 : 9 | Uruguay | 0 | 0 | 1 | 1
row 13 : Total | Total | 16 | 16 | 30 | 62

which nations were in the taekwondo 2010 south american games?

Answer: Brazil, Venezuela, Colombia, Chile, Argentina, Peru, Ecuador, Guyana, Aruba, Netherlands Antilles, Panama, Uruguay
Please answer a question about the following table 

header: Rank | Nation | Gold | Silver | Bronze | Total row 1 : 1 | Brazil | 7 | 5 | 3 | 15
row 2 : 2 | Venezuela | 3 | 2 | 8 | 13
row 3 : 3 | Colombia | 2 | 3 | 4 | 9
row 4 : 4 | Chile | 2 | 0 | 2 | 4
row 5 : 5 | Argentina | 1 | 2 | 5 | 8
row 6 : 6 | Peru | 1 | 1 | 2 | 4
row 7 : 7 | Ecuador | 0 | 2 | 2 | 4
row 8 : 8 | Guyana | 0 | 1 | 0 | 1
row 9 : 9 | Aruba | 0 | 0 | 1 | 1
row 10 : 9 | Netherlands Antilles | 0 | 0 | 1 | 1
row 11 : 9 | Panama | 0 | 0 | 1 | 1
row 12 : 9 | Uruguay | 0 | 0 | 1 | 1
row 13 : Total | Total | 16 | 16 | 30 | 62

which nations were in the taekwondo 2010 south american games? of these who won the least bronze medals?

Answer: Guyana
Please answer a question about the following table 

header: Rank | Nation | Gold | Silver | Bronze | Total row 1 : 1 | Brazil | 7 | 5 | 3 | 15
row 2 : 2 | Venezuela | 3 | 2 | 8 | 13
row 3 : 3 | Colombia | 2 | 3 | 4 | 9
row 4 : 4 | Chile | 2 | 0 | 2 | 4
row 5 : 5 | Argentina | 1 | 2 | 5 | 8
row 6 : 6 | Peru | 1 | 1 | 2 | 4
row 7 : 7 | Ecuador | 0 | 2 | 2 | 4
row 8 : 8 | Guyana | 0 | 1 | 0 | 1
row 9 : 9 | Aruba | 0 | 0 | 1 | 1
row 10 : 9 | Netherlands Antilles | 0 | 0 | 1 | 1
row 11 : 9 | Panama | 0 | 0 | 1 | 1
row 12 : 9 | Uruguay | 0 | 0 | 1 | 1
row 13 : Total | Total | 16 | 16 | 30 | 62

what are all of the nations?

Answer: Brazil, Venezuela, Colombia, Chile, Argentina, Peru, Ecuador, Guyana, Aruba, Netherlands Antilles, Panama, Uruguay
Please answer a question about the following table 

header: Rank | Nation | Gold | Silver | Bronze | Total row 1 : 1 | Brazil | 7 | 5 | 3 | 15
row 2 : 2 | Venezuela | 3 | 2 | 8 | 13
row 3 : 3 | Colombia | 2 | 3 | 4 | 9
row 4 : 4 | Chile | 2 | 0 | 2 | 4
row 5 : 5 | Argentina | 1 | 2 | 5 | 8
row 6 : 6 | Peru | 1 | 1 | 2 | 4
row 7 : 7 | Ecuador | 0 | 2 | 2 | 4
row 8 : 8 | Guyana | 0 | 1 | 0 | 1
row 9 : 9 | Aruba | 0 | 0 | 1 | 1
row 10 : 9 | Netherlands Antilles | 0 | 0 | 1 | 1
row 11 : 9 | Panama | 0 | 0 | 1 | 1
row 12 : 9 | Uruguay | 0 | 0 | 1 | 1
row 13 : Total | Total | 16 | 16 | 30 | 62

what are all of the nations? how many bronze medals did each nation win?

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

header: Rank | Nation | Gold | Silver | Bronze | Total row 1 : 1 | Brazil | 7 | 5 | 3 | 15
row 2 : 2 | Venezuela | 3 | 2 | 8 | 13
row 3 : 3 | Colombia | 2 | 3 | 4 | 9
row 4 : 4 | Chile | 2 | 0 | 2 | 4
row 5 : 5 | Argentina | 1 | 2 | 5 | 8
row 6 : 6 | Peru | 1 | 1 | 2 | 4
row 7 : 7 | Ecuador | 0 | 2 | 2 | 4
row 8 : 8 | Guyana | 0 | 1 | 0 | 1
row 9 : 9 | Aruba | 0 | 0 | 1 | 1
row 10 : 9 | Netherlands Antilles | 0 | 0 | 1 | 1
row 11 : 9 | Panama | 0 | 0 | 1 | 1
row 12 : 9 | Uruguay | 0 | 0 | 1 | 1
row 13 : Total | Total | 16 | 16 | 30 | 62

what are all of the nations? how many bronze medals did each nation win? which nation won the fewest amount of bronze medals?

Answer: Guyana
Please answer a question about the following table 

header: Rank | Nation | Gold | Silver | Bronze | Total row 1 : 1 | Brazil | 7 | 5 | 3 | 15
row 2 : 2 | Venezuela | 3 | 2 | 8 | 13
row 3 : 3 | Colombia | 2 | 3 | 4 | 9
row 4 : 4 | Chile | 2 | 0 | 2 | 4
row 5 : 5 | Argentina | 1 | 2 | 5 | 8
row 6 : 6 | Peru | 1 | 1 | 2 | 4
row 7 : 7 | Ecuador | 0 | 2 | 2 | 4
row 8 : 8 | Guyana | 0 | 1 | 0 | 1
row 9 : 9 | Aruba | 0 | 0 | 1 | 1
row 10 : 9 | Netherlands Antilles | 0 | 0 | 1 | 1
row 11 : 9 | Panama | 0 | 0 | 1 | 1
row 12 : 9 | Uruguay | 0 | 0 | 1 | 1
row 13 : Total | Total | 16 | 16 | 30 | 62

what were the number of bronze medals scored by each team in the taekwondo event?

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

header: Rank | Nation | Gold | Silver | Bronze | Total row 1 : 1 | Brazil | 7 | 5 | 3 | 15
row 2 : 2 | Venezuela | 3 | 2 | 8 | 13
row 3 : 3 | Colombia | 2 | 3 | 4 | 9
row 4 : 4 | Chile | 2 | 0 | 2 | 4
row 5 : 5 | Argentina | 1 | 2 | 5 | 8
row 6 : 6 | Peru | 1 | 1 | 2 | 4
row 7 : 7 | Ecuador | 0 | 2 | 2 | 4
row 8 : 8 | Guyana | 0 | 1 | 0 | 1
row 9 : 9 | Aruba | 0 | 0 | 1 | 1
row 10 : 9 | Netherlands Antilles | 0 | 0 | 1 | 1
row 11 : 9 | Panama | 0 | 0 | 1 | 1
row 12 : 9 | Uruguay | 0 | 0 | 1 | 1
row 13 : Total | Total | 16 | 16 | 30 | 62

what were the number of bronze medals scored by each team in the taekwondo event? what was the least amount of bronze medals earned by a team?

Answer: 0
Please answer a question about the following table 

header: Rank | Nation | Gold | Silver | Bronze | Total row 1 : 1 | Brazil | 7 | 5 | 3 | 15
row 2 : 2 | Venezuela | 3 | 2 | 8 | 13
row 3 : 3 | Colombia | 2 | 3 | 4 | 9
row 4 : 4 | Chile | 2 | 0 | 2 | 4
row 5 : 5 | Argentina | 1 | 2 | 5 | 8
row 6 : 6 | Peru | 1 | 1 | 2 | 4
row 7 : 7 | Ecuador | 0 | 2 | 2 | 4
row 8 : 8 | Guyana | 0 | 1 | 0 | 1
row 9 : 9 | Aruba | 0 | 0 | 1 | 1
row 10 : 9 | Netherlands Antilles | 0 | 0 | 1 | 1
row 11 : 9 | Panama | 0 | 0 | 1 | 1
row 12 : 9 | Uruguay | 0 | 0 | 1 | 1
row 13 : Total | Total | 16 | 16 | 30 | 62

what were the number of bronze medals scored by each team in the taekwondo event? what was the least amount of bronze medals earned by a team? what team scored these medals?

Answer: Guyana
Please answer a question about the following table 

header: Rank | Nation | Gold | Silver | Bronze | Total row 1 : 1 | China (CHN) | 127 | 63 | 33 | 223
row 2 : 2 | Japan (JPN) | 46 | 56 | 77 | 179
row 3 : 3 | South Korea (KOR) | 32 | 48 | 65 | 145
row 4 : 4 | Chinese Taipei (TPE) | 12 | 34 | 26 | 72
row 5 : 5 | Macau (MAC) | 11 | 16 | 17 | 44
row 6 : 6 | North Korea (PRK) | 6 | 10 | 20 | 36
row 7 : 7 | Hong Kong (HKG) | 2 | 2 | 9 | 13
row 8 : 8 | Mongolia (MGL) | 1 | 1 | 6 | 8
row 9 : 9 | Guam (GUM) | 0 | 0 | 1 | 1
row 10 : Total | Total | 237 | 230 | 254 | 721

what are all of the nations?

Answer: China (CHN), Japan (JPN), South Korea (KOR), Chinese Taipei (TPE), Macau (MAC), North Korea (PRK), Hong Kong (HKG), Mongolia (MGL), Guam (GUM)
Please answer a question about the following table 

header: Rank | Nation | Gold | Silver | Bronze | Total row 1 : 1 | China (CHN) | 127 | 63 | 33 | 223
row 2 : 2 | Japan (JPN) | 46 | 56 | 77 | 179
row 3 : 3 | South Korea (KOR) | 32 | 48 | 65 | 145
row 4 : 4 | Chinese Taipei (TPE) | 12 | 34 | 26 | 72
row 5 : 5 | Macau (MAC) | 11 | 16 | 17 | 44
row 6 : 6 | North Korea (PRK) | 6 | 10 | 20 | 36
row 7 : 7 | Hong Kong (HKG) | 2 | 2 | 9 | 13
row 8 : 8 | Mongolia (MGL) | 1 | 1 | 6 | 8
row 9 : 9 | Guam (GUM) | 0 | 0 | 1 | 1
row 10 : Total | Total | 237 | 230 | 254 | 721

what are all of the nations? which ones won gold medals?

Answer: China (CHN), Japan (JPN), South Korea (KOR), Chinese Taipei (TPE), Macau (MAC), North Korea (PRK), Hong Kong (HKG), Mongolia (MGL)
Please answer a question about the following table 

header: Rank | Nation | Gold | Silver | Bronze | Total row 1 : 1 | China (CHN) | 127 | 63 | 33 | 223
row 2 : 2 | Japan (JPN) | 46 | 56 | 77 | 179
row 3 : 3 | South Korea (KOR) | 32 | 48 | 65 | 145
row 4 : 4 | Chinese Taipei (TPE) | 12 | 34 | 26 | 72
row 5 : 5 | Macau (MAC) | 11 | 16 | 17 | 44
row 6 : 6 | North Korea (PRK) | 6 | 10 | 20 | 36
row 7 : 7 | Hong Kong (HKG) | 2 | 2 | 9 | 13
row 8 : 8 | Mongolia (MGL) | 1 | 1 | 6 | 8
row 9 : 9 | Guam (GUM) | 0 | 0 | 1 | 1
row 10 : Total | Total | 237 | 230 | 254 | 721

what are all of the nations? which ones won gold medals? who only won one total medal?

Answer: Guam (GUM)
Please answer a question about the following table 

header: Rank | Nation | Gold | Silver | Bronze | Total row 1 : 1 | China (CHN) | 127 | 63 | 33 | 223
row 2 : 2 | Japan (JPN) | 46 | 56 | 77 | 179
row 3 : 3 | South Korea (KOR) | 32 | 48 | 65 | 145
row 4 : 4 | Chinese Taipei (TPE) | 12 | 34 | 26 | 72
row 5 : 5 | Macau (MAC) | 11 | 16 | 17 | 44
row 6 : 6 | North Korea (PRK) | 6 | 10 | 20 | 36
row 7 : 7 | Hong Kong (HKG) | 2 | 2 | 9 | 13
row 8 : 8 | Mongolia (MGL) | 1 | 1 | 6 | 8
row 9 : 9 | Guam (GUM) | 0 | 0 | 1 | 1
row 10 : Total | Total | 237 | 230 | 254 | 721

which nations competed in the 2005 east asian games?

Answer: China (CHN), Japan (JPN), South Korea (KOR), Chinese Taipei (TPE), Macau (MAC), North Korea (PRK), Hong Kong (HKG), Mongolia (MGL), Guam (GUM)
Please answer a question about the following table 

header: Rank | Nation | Gold | Silver | Bronze | Total row 1 : 1 | China (CHN) | 127 | 63 | 33 | 223
row 2 : 2 | Japan (JPN) | 46 | 56 | 77 | 179
row 3 : 3 | South Korea (KOR) | 32 | 48 | 65 | 145
row 4 : 4 | Chinese Taipei (TPE) | 12 | 34 | 26 | 72
row 5 : 5 | Macau (MAC) | 11 | 16 | 17 | 44
row 6 : 6 | North Korea (PRK) | 6 | 10 | 20 | 36
row 7 : 7 | Hong Kong (HKG) | 2 | 2 | 9 | 13
row 8 : 8 | Mongolia (MGL) | 1 | 1 | 6 | 8
row 9 : 9 | Guam (GUM) | 0 | 0 | 1 | 1
row 10 : Total | Total | 237 | 230 | 254 | 721

which nations competed in the 2005 east asian games? of the above, which nations won gold medals?

Answer: China (CHN), Japan (JPN), South Korea (KOR), Chinese Taipei (TPE), Macau (MAC), North Korea (PRK), Hong Kong (HKG), Mongolia (MGL)
Please answer a question about the following table 

header: Rank | Nation | Gold | Silver | Bronze | Total row 1 : 1 | China (CHN) | 127 | 63 | 33 | 223
row 2 : 2 | Japan (JPN) | 46 | 56 | 77 | 179
row 3 : 3 | South Korea (KOR) | 32 | 48 | 65 | 145
row 4 : 4 | Chinese Taipei (TPE) | 12 | 34 | 26 | 72
row 5 : 5 | Macau (MAC) | 11 | 16 | 17 | 44
row 6 : 6 | North Korea (PRK) | 6 | 10 | 20 | 36
row 7 : 7 | Hong Kong (HKG) | 2 | 2 | 9 | 13
row 8 : 8 | Mongolia (MGL) | 1 | 1 | 6 | 8
row 9 : 9 | Guam (GUM) | 0 | 0 | 1 | 1
row 10 : Total | Total | 237 | 230 | 254 | 721

which nations competed in the 2005 east asian games? of the above, which nations won gold medals? of all of the nations participating, which is not included in the above question?

Answer: Guam (GUM)
Please answer a question about the following table 

header: Rank | Nation | Gold | Silver | Bronze | Total row 1 : 1 | China (CHN) | 127 | 63 | 33 | 223
row 2 : 2 | Japan (JPN) | 46 | 56 | 77 | 179
row 3 : 3 | South Korea (KOR) | 32 | 48 | 65 | 145
row 4 : 4 | Chinese Taipei (TPE) | 12 | 34 | 26 | 72
row 5 : 5 | Macau (MAC) | 11 | 16 | 17 | 44
row 6 : 6 | North Korea (PRK) | 6 | 10 | 20 | 36
row 7 : 7 | Hong Kong (HKG) | 2 | 2 | 9 | 13
row 8 : 8 | Mongolia (MGL) | 1 | 1 | 6 | 8
row 9 : 9 | Guam (GUM) | 0 | 0 | 1 | 1
row 10 : Total | Total | 237 | 230 | 254 | 721

what are all of the nations? how many gold medals did they win?

Answer: 127, 46, 32, 12, 11, 6, 2, 1, 0
Please answer a question about the following table 

header: Rank | Nation | Gold | Silver | Bronze | Total row 1 : 1 | China (CHN) | 127 | 63 | 33 | 223
row 2 : 2 | Japan (JPN) | 46 | 56 | 77 | 179
row 3 : 3 | South Korea (KOR) | 32 | 48 | 65 | 145
row 4 : 4 | Chinese Taipei (TPE) | 12 | 34 | 26 | 72
row 5 : 5 | Macau (MAC) | 11 | 16 | 17 | 44
row 6 : 6 | North Korea (PRK) | 6 | 10 | 20 | 36
row 7 : 7 | Hong Kong (HKG) | 2 | 2 | 9 | 13
row 8 : 8 | Mongolia (MGL) | 1 | 1 | 6 | 8
row 9 : 9 | Guam (GUM) | 0 | 0 | 1 | 1
row 10 : Total | Total | 237 | 230 | 254 | 721

what are all of the nations? how many gold medals did they win? which nation won no gold medals?

Answer: Guam (GUM)
Please answer a question about the following table 

header: Description Losses | 1939/40 | 1940/41 | 1941/42 | 1942/43 | 1943/44 | 1944/45 | Total row 1 : Direct War Losses | 360,000 | nan | nan | nan | nan | 183,000 | 543,000
row 2 : Murdered | 75,000 | 100,000 | 116,000 | 133,000 | 82,000 | nan | 506,000
row 3 : Deaths In Prisons & Camps | 69,000 | 210,000 | 220,000 | 266,000 | 381,000 | nan | 1,146,000
row 4 : Deaths Outside of Prisons & Camps | nan | 42,000 | 71,000 | 142,000 | 218,000 | nan | 473,000
row 5 : Murdered in Eastern Regions | nan | nan | nan | nan | nan | 100,000 | 100,000
row 6 : Deaths other countries | nan | nan | nan | nan | nan | nan | 2,000
row 7 : Total | 504,000 | 352,000 | 407,000 | 541,000 | 681,000 | 270,000 | 2,770,000

what are all of the description losses? what are their totals?

Answer: 543,000, 506,000, 1,146,000, 473,000, 100,000, 2,000
Please answer a question about the following table 

header: Description Losses | 1939/40 | 1940/41 | 1941/42 | 1942/43 | 1943/44 | 1944/45 | Total row 1 : Direct War Losses | 360,000 | nan | nan | nan | nan | 183,000 | 543,000
row 2 : Murdered | 75,000 | 100,000 | 116,000 | 133,000 | 82,000 | nan | 506,000
row 3 : Deaths In Prisons & Camps | 69,000 | 210,000 | 220,000 | 266,000 | 381,000 | nan | 1,146,000
row 4 : Deaths Outside of Prisons & Camps | nan | 42,000 | 71,000 | 142,000 | 218,000 | nan | 473,000
row 5 : Murdered in Eastern Regions | nan | nan | nan | nan | nan | 100,000 | 100,000
row 6 : Deaths other countries | nan | nan | nan | nan | nan | nan | 2,000
row 7 : Total | 504,000 | 352,000 | 407,000 | 541,000 | 681,000 | 270,000 | 2,770,000

what are all of the description losses? what are their totals? what about just between deaths in prisons & camps and deaths outside of prisons & camps?

Answer: 1,146,000, 473,000
Please answer a question about the following table 

header: Description Losses | 1939/40 | 1940/41 | 1941/42 | 1942/43 | 1943/44 | 1944/45 | Total row 1 : Direct War Losses | 360,000 | nan | nan | nan | nan | 183,000 | 543,000
row 2 : Murdered | 75,000 | 100,000 | 116,000 | 133,000 | 82,000 | nan | 506,000
row 3 : Deaths In Prisons & Camps | 69,000 | 210,000 | 220,000 | 266,000 | 381,000 | nan | 1,146,000
row 4 : Deaths Outside of Prisons & Camps | nan | 42,000 | 71,000 | 142,000 | 218,000 | nan | 473,000
row 5 : Murdered in Eastern Regions | nan | nan | nan | nan | nan | 100,000 | 100,000
row 6 : Deaths other countries | nan | nan | nan | nan | nan | nan | 2,000
row 7 : Total | 504,000 | 352,000 | 407,000 | 541,000 | 681,000 | 270,000 | 2,770,000

what are all of the description losses? what are their totals? what about just between deaths in prisons & camps and deaths outside of prisons & camps? which of the two had more recorded deaths?

Answer: Deaths In Prisons & Camps
Please answer a question about the following table 

header: Description Losses | 1939/40 | 1940/41 | 1941/42 | 1942/43 | 1943/44 | 1944/45 | Total row 1 : Direct War Losses | 360,000 | nan | nan | nan | nan | 183,000 | 543,000
row 2 : Murdered | 75,000 | 100,000 | 116,000 | 133,000 | 82,000 | nan | 506,000
row 3 : Deaths In Prisons & Camps | 69,000 | 210,000 | 220,000 | 266,000 | 381,000 | nan | 1,146,000
row 4 : Deaths Outside of Prisons & Camps | nan | 42,000 | 71,000 | 142,000 | 218,000 | nan | 473,000
row 5 : Murdered in Eastern Regions | nan | nan | nan | nan | nan | 100,000 | 100,000
row 6 : Deaths other countries | nan | nan | nan | nan | nan | nan | 2,000
row 7 : Total | 504,000 | 352,000 | 407,000 | 541,000 | 681,000 | 270,000 | 2,770,000

how many deaths in prison and camps were there?

Answer: 1,146,000
Please answer a question about the following table 

header: Description Losses | 1939/40 | 1940/41 | 1941/42 | 1942/43 | 1943/44 | 1944/45 | Total row 1 : Direct War Losses | 360,000 | nan | nan | nan | nan | 183,000 | 543,000
row 2 : Murdered | 75,000 | 100,000 | 116,000 | 133,000 | 82,000 | nan | 506,000
row 3 : Deaths In Prisons & Camps | 69,000 | 210,000 | 220,000 | 266,000 | 381,000 | nan | 1,146,000
row 4 : Deaths Outside of Prisons & Camps | nan | 42,000 | 71,000 | 142,000 | 218,000 | nan | 473,000
row 5 : Murdered in Eastern Regions | nan | nan | nan | nan | nan | 100,000 | 100,000
row 6 : Deaths other countries | nan | nan | nan | nan | nan | nan | 2,000
row 7 : Total | 504,000 | 352,000 | 407,000 | 541,000 | 681,000 | 270,000 | 2,770,000

how many deaths in prison and camps were there? how many deaths outside prisons & camps were there?

Answer: 473,000
Please answer a question about the following table 

header: Description Losses | 1939/40 | 1940/41 | 1941/42 | 1942/43 | 1943/44 | 1944/45 | Total row 1 : Direct War Losses | 360,000 | nan | nan | nan | nan | 183,000 | 543,000
row 2 : Murdered | 75,000 | 100,000 | 116,000 | 133,000 | 82,000 | nan | 506,000
row 3 : Deaths In Prisons & Camps | 69,000 | 210,000 | 220,000 | 266,000 | 381,000 | nan | 1,146,000
row 4 : Deaths Outside of Prisons & Camps | nan | 42,000 | 71,000 | 142,000 | 218,000 | nan | 473,000
row 5 : Murdered in Eastern Regions | nan | nan | nan | nan | nan | 100,000 | 100,000
row 6 : Deaths other countries | nan | nan | nan | nan | nan | nan | 2,000
row 7 : Total | 504,000 | 352,000 | 407,000 | 541,000 | 681,000 | 270,000 | 2,770,000

how many deaths in prison and camps were there? how many deaths outside prisons & camps were there? which had more?

Answer: Deaths In Prisons & Camps
Please answer a question about the following table 

header: Description Losses | 1939/40 | 1940/41 | 1941/42 | 1942/43 | 1943/44 | 1944/45 | Total row 1 : Direct War Losses | 360,000 | nan | nan | nan | nan | 183,000 | 543,000
row 2 : Murdered | 75,000 | 100,000 | 116,000 | 133,000 | 82,000 | nan | 506,000
row 3 : Deaths In Prisons & Camps | 69,000 | 210,000 | 220,000 | 266,000 | 381,000 | nan | 1,146,000
row 4 : Deaths Outside of Prisons & Camps | nan | 42,000 | 71,000 | 142,000 | 218,000 | nan | 473,000
row 5 : Murdered in Eastern Regions | nan | nan | nan | nan | nan | 100,000 | 100,000
row 6 : Deaths other countries | nan | nan | nan | nan | nan | nan | 2,000
row 7 : Total | 504,000 | 352,000 | 407,000 | 541,000 | 681,000 | 270,000 | 2,770,000

what are the descriptions of direct war losses?

Answer: Direct War Losses, Murdered, Deaths In Prisons & Camps, Deaths Outside of Prisons & Camps, Murdered in Eastern Regions, Deaths other countries
Please answer a question about the following table 

header: Description Losses | 1939/40 | 1940/41 | 1941/42 | 1942/43 | 1943/44 | 1944/45 | Total row 1 : Direct War Losses | 360,000 | nan | nan | nan | nan | 183,000 | 543,000
row 2 : Murdered | 75,000 | 100,000 | 116,000 | 133,000 | 82,000 | nan | 506,000
row 3 : Deaths In Prisons & Camps | 69,000 | 210,000 | 220,000 | 266,000 | 381,000 | nan | 1,146,000
row 4 : Deaths Outside of Prisons & Camps | nan | 42,000 | 71,000 | 142,000 | 218,000 | nan | 473,000
row 5 : Murdered in Eastern Regions | nan | nan | nan | nan | nan | 100,000 | 100,000
row 6 : Deaths other countries | nan | nan | nan | nan | nan | nan | 2,000
row 7 : Total | 504,000 | 352,000 | 407,000 | 541,000 | 681,000 | 270,000 | 2,770,000

what are the descriptions of direct war losses? of the types of losses which type has a total number of casualties grater than 5,000 but less than 500,000?

Answer: Deaths Outside of Prisons & Camps
Please answer a question about the following table 

header: Description Losses | 1939/40 | 1940/41 | 1941/42 | 1942/43 | 1943/44 | 1944/45 | Total row 1 : Direct War Losses | 360,000 | nan | nan | nan | nan | 183,000 | 543,000
row 2 : Murdered | 75,000 | 100,000 | 116,000 | 133,000 | 82,000 | nan | 506,000
row 3 : Deaths In Prisons & Camps | 69,000 | 210,000 | 220,000 | 266,000 | 381,000 | nan | 1,146,000
row 4 : Deaths Outside of Prisons & Camps | nan | 42,000 | 71,000 | 142,000 | 218,000 | nan | 473,000
row 5 : Murdered in Eastern Regions | nan | nan | nan | nan | nan | 100,000 | 100,000
row 6 : Deaths other countries | nan | nan | nan | nan | nan | nan | 2,000
row 7 : Total | 504,000 | 352,000 | 407,000 | 541,000 | 681,000 | 270,000 | 2,770,000

what are the descriptions of direct war losses? of the types of losses which type has a total number of casualties grater than 5,000 but less than 500,000? what is the highest number of casualties shown on the table?

Answer: 1,146,000
Please answer a question about the following table 

header: Description Losses | 1939/40 | 1940/41 | 1941/42 | 1942/43 | 1943/44 | 1944/45 | Total row 1 : Direct War Losses | 360,000 | nan | nan | nan | nan | 183,000 | 543,000
row 2 : Murdered | 75,000 | 100,000 | 116,000 | 133,000 | 82,000 | nan | 506,000
row 3 : Deaths In Prisons & Camps | 69,000 | 210,000 | 220,000 | 266,000 | 381,000 | nan | 1,146,000
row 4 : Deaths Outside of Prisons & Camps | nan | 42,000 | 71,000 | 142,000 | 218,000 | nan | 473,000
row 5 : Murdered in Eastern Regions | nan | nan | nan | nan | nan | 100,000 | 100,000
row 6 : Deaths other countries | nan | nan | nan | nan | nan | nan | 2,000
row 7 : Total | 504,000 | 352,000 | 407,000 | 541,000 | 681,000 | 270,000 | 2,770,000

what are the descriptions of direct war losses? of the types of losses which type has a total number of casualties grater than 5,000 but less than 500,000? what is the highest number of casualties shown on the table? what description does the highest number of casualties belong to?

Answer: Deaths In Prisons & Camps
Please answer a question about the following table 

header: Hand | Auto | Wind | Athlete | Nationality | Birthdate | Location | Date row 1 : nan | 10.26 | 2.3 | Troy Douglas | Netherlands | 30.11.1962 | Utrecht | 10.07.2004
row 2 : nan | 10.29 | 1.9 | Troy Douglas | Netherlands | 30.11.1962 | Leiden | 07.06.2003
row 3 : nan | 10.6 | nan | Bill Collins | United States | 20.11.1950 | nan | 06.06.1992
row 4 : nan | 10.84 | 1.8 | Erik Oostweegel | Netherlands | 29.04.1960 | Tilburg | 10.06.2000
row 5 : nan | 10.87 | nan | Eddie Hart | United States | 24.04.1949 | Eugene | 03.08.1989
row 6 : nan | 10.9 | nan | Thaddeus Bell | United States | 28.11.1942 | Raleigh | 01.05.1988
row 7 : nan | 10.93 | 0.6 | Gilles Echevin | France | 01.09.1948 | Grenoble | 07.05.1989
row 8 : 10.7 | nan | nan | Klaus Jurgen Schneider | Germany | 02.03.1942 | Stuttgart | 07.07.1982
row 9 : 10.7 | nan | nan | Walt Butler | United States | 21.03.1941 | Northridge | 16.05.1981
row 10 : 10.7 | nan | nan | Thane Baker | United States | 04.10.1931 | Elkhart | 13.09.1972
row 11 : nan | 10.95 | nan | George McNeill | United Kingdom | 19.02.1947 | Melbourne | 31.11.1987
row 12 : nan | 10.95 | nan | Karl Heinz Schroder | Germany | 17.06.1939 | Hannover | 28.07.1979

where is schroder from?

Answer: Germany
Please answer a question about the following table 

header: Hand | Auto | Wind | Athlete | Nationality | Birthdate | Location | Date row 1 : nan | 10.26 | 2.3 | Troy Douglas | Netherlands | 30.11.1962 | Utrecht | 10.07.2004
row 2 : nan | 10.29 | 1.9 | Troy Douglas | Netherlands | 30.11.1962 | Leiden | 07.06.2003
row 3 : nan | 10.6 | nan | Bill Collins | United States | 20.11.1950 | nan | 06.06.1992
row 4 : nan | 10.84 | 1.8 | Erik Oostweegel | Netherlands | 29.04.1960 | Tilburg | 10.06.2000
row 5 : nan | 10.87 | nan | Eddie Hart | United States | 24.04.1949 | Eugene | 03.08.1989
row 6 : nan | 10.9 | nan | Thaddeus Bell | United States | 28.11.1942 | Raleigh | 01.05.1988
row 7 : nan | 10.93 | 0.6 | Gilles Echevin | France | 01.09.1948 | Grenoble | 07.05.1989
row 8 : 10.7 | nan | nan | Klaus Jurgen Schneider | Germany | 02.03.1942 | Stuttgart | 07.07.1982
row 9 : 10.7 | nan | nan | Walt Butler | United States | 21.03.1941 | Northridge | 16.05.1981
row 10 : 10.7 | nan | nan | Thane Baker | United States | 04.10.1931 | Elkhart | 13.09.1972
row 11 : nan | 10.95 | nan | George McNeill | United Kingdom | 19.02.1947 | Melbourne | 31.11.1987
row 12 : nan | 10.95 | nan | Karl Heinz Schroder | Germany | 17.06.1939 | Hannover | 28.07.1979

where is schroder from? what other athlete is from germany?

Answer: Klaus Jurgen Schneider
Please answer a question about the following table 

header: Hand | Auto | Wind | Athlete | Nationality | Birthdate | Location | Date row 1 : nan | 10.26 | 2.3 | Troy Douglas | Netherlands | 30.11.1962 | Utrecht | 10.07.2004
row 2 : nan | 10.29 | 1.9 | Troy Douglas | Netherlands | 30.11.1962 | Leiden | 07.06.2003
row 3 : nan | 10.6 | nan | Bill Collins | United States | 20.11.1950 | nan | 06.06.1992
row 4 : nan | 10.84 | 1.8 | Erik Oostweegel | Netherlands | 29.04.1960 | Tilburg | 10.06.2000
row 5 : nan | 10.87 | nan | Eddie Hart | United States | 24.04.1949 | Eugene | 03.08.1989
row 6 : nan | 10.9 | nan | Thaddeus Bell | United States | 28.11.1942 | Raleigh | 01.05.1988
row 7 : nan | 10.93 | 0.6 | Gilles Echevin | France | 01.09.1948 | Grenoble | 07.05.1989
row 8 : 10.7 | nan | nan | Klaus Jurgen Schneider | Germany | 02.03.1942 | Stuttgart | 07.07.1982
row 9 : 10.7 | nan | nan | Walt Butler | United States | 21.03.1941 | Northridge | 16.05.1981
row 10 : 10.7 | nan | nan | Thane Baker | United States | 04.10.1931 | Elkhart | 13.09.1972
row 11 : nan | 10.95 | nan | George McNeill | United Kingdom | 19.02.1947 | Melbourne | 31.11.1987
row 12 : nan | 10.95 | nan | Karl Heinz Schroder | Germany | 17.06.1939 | Hannover | 28.07.1979

what are the names of all of the athletes?

Answer: Troy Douglas, Bill Collins, Erik Oostweegel, Eddie Hart, Thaddeus Bell, Gilles Echevin, Klaus Jurgen Schneider, Walt Butler, Thane Baker, George McNeill, Karl Heinz Schroder
Please answer a question about the following table 

header: Hand | Auto | Wind | Athlete | Nationality | Birthdate | Location | Date row 1 : nan | 10.26 | 2.3 | Troy Douglas | Netherlands | 30.11.1962 | Utrecht | 10.07.2004
row 2 : nan | 10.29 | 1.9 | Troy Douglas | Netherlands | 30.11.1962 | Leiden | 07.06.2003
row 3 : nan | 10.6 | nan | Bill Collins | United States | 20.11.1950 | nan | 06.06.1992
row 4 : nan | 10.84 | 1.8 | Erik Oostweegel | Netherlands | 29.04.1960 | Tilburg | 10.06.2000
row 5 : nan | 10.87 | nan | Eddie Hart | United States | 24.04.1949 | Eugene | 03.08.1989
row 6 : nan | 10.9 | nan | Thaddeus Bell | United States | 28.11.1942 | Raleigh | 01.05.1988
row 7 : nan | 10.93 | 0.6 | Gilles Echevin | France | 01.09.1948 | Grenoble | 07.05.1989
row 8 : 10.7 | nan | nan | Klaus Jurgen Schneider | Germany | 02.03.1942 | Stuttgart | 07.07.1982
row 9 : 10.7 | nan | nan | Walt Butler | United States | 21.03.1941 | Northridge | 16.05.1981
row 10 : 10.7 | nan | nan | Thane Baker | United States | 04.10.1931 | Elkhart | 13.09.1972
row 11 : nan | 10.95 | nan | George McNeill | United Kingdom | 19.02.1947 | Melbourne | 31.11.1987
row 12 : nan | 10.95 | nan | Karl Heinz Schroder | Germany | 17.06.1939 | Hannover | 28.07.1979

what are the names of all of the athletes? what are all of the countries athletes come from?

Answer: Netherlands, United States, France, Germany, United Kingdom
Please answer a question about the following table 

header: Hand | Auto | Wind | Athlete | Nationality | Birthdate | Location | Date row 1 : nan | 10.26 | 2.3 | Troy Douglas | Netherlands | 30.11.1962 | Utrecht | 10.07.2004
row 2 : nan | 10.29 | 1.9 | Troy Douglas | Netherlands | 30.11.1962 | Leiden | 07.06.2003
row 3 : nan | 10.6 | nan | Bill Collins | United States | 20.11.1950 | nan | 06.06.1992
row 4 : nan | 10.84 | 1.8 | Erik Oostweegel | Netherlands | 29.04.1960 | Tilburg | 10.06.2000
row 5 : nan | 10.87 | nan | Eddie Hart | United States | 24.04.1949 | Eugene | 03.08.1989
row 6 : nan | 10.9 | nan | Thaddeus Bell | United States | 28.11.1942 | Raleigh | 01.05.1988
row 7 : nan | 10.93 | 0.6 | Gilles Echevin | France | 01.09.1948 | Grenoble | 07.05.1989
row 8 : 10.7 | nan | nan | Klaus Jurgen Schneider | Germany | 02.03.1942 | Stuttgart | 07.07.1982
row 9 : 10.7 | nan | nan | Walt Butler | United States | 21.03.1941 | Northridge | 16.05.1981
row 10 : 10.7 | nan | nan | Thane Baker | United States | 04.10.1931 | Elkhart | 13.09.1972
row 11 : nan | 10.95 | nan | George McNeill | United Kingdom | 19.02.1947 | Melbourne | 31.11.1987
row 12 : nan | 10.95 | nan | Karl Heinz Schroder | Germany | 17.06.1939 | Hannover | 28.07.1979

what are the names of all of the athletes? what are all of the countries athletes come from? what country does schroder come from?

Answer: Germany