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nt-5356
col : rank | name | nationality | time row 1 : nan | sule utura | ethiopia | 15:38.70 row 2 : nan | emebet anteneh mengistu | ethiopia | 15:40.13 row 3 : nan | pauline korikwiang | kenya | 15:40.93 row 4 : 4.0 | hyvin jepkemoi | kenya | 15:42.64 row 5 : 5.0 | esther ndiema | kenya | 15:43.48 row 6 : 6.0 | goytetom gebresilasse | ethiopia | 15:49.90 row 7 : 7.0 | angeline myiramsabimana | rwanda | 16:24.04 row 8 : 8.0 | mekdes weldu | eritrea | 16:42.69 row 9 : 9.0 | thandiwe nyathy | zimbabwe | 17:13.00
table_csv/204_90.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8 ] }
[ "which athletes competed in the 2011 all-africa games - women's 5000 metres?" ]
1
sule utura, emebet anteneh mengistu, pauline korikwiang, hyvin jepkemoi, esther ndiema, goytetom gebresilasse, angeline myiramsabimana, mekdes weldu, thandiwe nyathy
[ "Rank", "Name", "Nationality", "Time" ]
which athletes competed in the 2011 all-africa games - women's 5000 metres?
[ [ "nan", "Sule Utura", "Ethiopia", "15:38.70" ], [ "nan", "Emebet Anteneh Mengistu", "Ethiopia", "15:40.13" ], [ "nan", "Pauline Korikwiang", "Kenya", "15:40.93" ], [ "4.0", "Hyvin Jepkemoi", "Kenya", "15:42.64" ], [ "5.0", "Esther Ndiema", "Kenya", "15:43.48" ], [ "6.0", "Goytetom Gebresilasse", "Ethiopia", "15:49.90" ], [ "7.0", "Angeline Myiramsabimana", "Rwanda", "16:24.04" ], [ "8.0", "Mekdes Weldu", "Eritrea", "16:42.69" ], [ "9.0", "Thandiwe Nyathy", "Zimbabwe", "17:13.00" ] ]
[ "Sule Utura", "Emebet Anteneh Mengistu", "Pauline Korikwiang", "Hyvin Jepkemoi", "Esther Ndiema", "Goytetom Gebresilasse", "Angeline Myiramsabimana", "Mekdes Weldu", "Thandiwe Nyathy" ]
which athletes competed in the 2011 all-africa games - women's 5000 metres? ||
nt-5356
col : rank | name | nationality | time row 1 : nan | sule utura | ethiopia | 15:38.70 row 2 : nan | emebet anteneh mengistu | ethiopia | 15:40.13 row 3 : nan | pauline korikwiang | kenya | 15:40.93 row 4 : 4.0 | hyvin jepkemoi | kenya | 15:42.64 row 5 : 5.0 | esther ndiema | kenya | 15:43.48 row 6 : 6.0 | goytetom gebresilasse | ethiopia | 15:49.90 row 7 : 7.0 | angeline myiramsabimana | rwanda | 16:24.04 row 8 : 8.0 | mekdes weldu | eritrea | 16:42.69 row 9 : 9.0 | thandiwe nyathy | zimbabwe | 17:13.00
table_csv/204_90.csv
1
{ "column_index": [ 1, 1, 1 ], "row_index": [ 0, 1, 2 ] }
[ "which athletes competed in the 2011 all-africa games - women's 5000 metres?", "of these athletes, which were the top three finalists?" ]
1
sule utura, emebet anteneh mengistu, pauline korikwiang
[ "Rank", "Name", "Nationality", "Time" ]
of these athletes, which were the top three finalists?
[ [ "nan", "Sule Utura", "Ethiopia", "15:38.70" ], [ "nan", "Emebet Anteneh Mengistu", "Ethiopia", "15:40.13" ], [ "nan", "Pauline Korikwiang", "Kenya", "15:40.93" ], [ "4.0", "Hyvin Jepkemoi", "Kenya", "15:42.64" ], [ "5.0", "Esther Ndiema", "Kenya", "15:43.48" ], [ "6.0", "Goytetom Gebresilasse", "Ethiopia", "15:49.90" ], [ "7.0", "Angeline Myiramsabimana", "Rwanda", "16:24.04" ], [ "8.0", "Mekdes Weldu", "Eritrea", "16:42.69" ], [ "9.0", "Thandiwe Nyathy", "Zimbabwe", "17:13.00" ] ]
[ "Sule Utura", "Emebet Anteneh Mengistu", "Pauline Korikwiang" ]
of these athletes, which were the top three finalists? || which athletes competed in the 2011 all-africa games - women's 5000 metres?
nt-5356
col : rank | name | nationality | time row 1 : nan | sule utura | ethiopia | 15:38.70 row 2 : nan | emebet anteneh mengistu | ethiopia | 15:40.13 row 3 : nan | pauline korikwiang | kenya | 15:40.93 row 4 : 4.0 | hyvin jepkemoi | kenya | 15:42.64 row 5 : 5.0 | esther ndiema | kenya | 15:43.48 row 6 : 6.0 | goytetom gebresilasse | ethiopia | 15:49.90 row 7 : 7.0 | angeline myiramsabimana | rwanda | 16:24.04 row 8 : 8.0 | mekdes weldu | eritrea | 16:42.69 row 9 : 9.0 | thandiwe nyathy | zimbabwe | 17:13.00
table_csv/204_90.csv
2
{ "column_index": [ 1 ], "row_index": [ 0 ] }
[ "which athletes competed in the 2011 all-africa games - women's 5000 metres?", "of these athletes, which were the top three finalists?", "of these finalists, which athlete ran a shorter time than emebet anteneh mengistu?" ]
1
sule utura
[ "Rank", "Name", "Nationality", "Time" ]
of these finalists, which athlete ran a shorter time than emebet anteneh mengistu?
[ [ "nan", "Sule Utura", "Ethiopia", "15:38.70" ], [ "nan", "Emebet Anteneh Mengistu", "Ethiopia", "15:40.13" ], [ "nan", "Pauline Korikwiang", "Kenya", "15:40.93" ], [ "4.0", "Hyvin Jepkemoi", "Kenya", "15:42.64" ], [ "5.0", "Esther Ndiema", "Kenya", "15:43.48" ], [ "6.0", "Goytetom Gebresilasse", "Ethiopia", "15:49.90" ], [ "7.0", "Angeline Myiramsabimana", "Rwanda", "16:24.04" ], [ "8.0", "Mekdes Weldu", "Eritrea", "16:42.69" ], [ "9.0", "Thandiwe Nyathy", "Zimbabwe", "17:13.00" ] ]
[ "Sule Utura" ]
of these finalists, which athlete ran a shorter time than emebet anteneh mengistu? || of these athletes, which were the top three finalists? | which athletes competed in the 2011 all-africa games - women's 5000 metres?
nt-5356
col : rank | name | nationality | time row 1 : nan | sule utura | ethiopia | 15:38.70 row 2 : nan | emebet anteneh mengistu | ethiopia | 15:40.13 row 3 : nan | pauline korikwiang | kenya | 15:40.93 row 4 : 4.0 | hyvin jepkemoi | kenya | 15:42.64 row 5 : 5.0 | esther ndiema | kenya | 15:43.48 row 6 : 6.0 | goytetom gebresilasse | ethiopia | 15:49.90 row 7 : 7.0 | angeline myiramsabimana | rwanda | 16:24.04 row 8 : 8.0 | mekdes weldu | eritrea | 16:42.69 row 9 : 9.0 | thandiwe nyathy | zimbabwe | 17:13.00
table_csv/204_90.csv
0
{ "column_index": [ 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3 ], "row_index": [ 0, 0, 1, 1, 2, 2, 3, 3, 4, 4, 5, 5, 6, 6, 7, 7, 8, 8 ] }
[ "who are the athletes?" ]
2
sule utura, 15:38.70, emebet anteneh mengistu, 15:40.13, pauline korikwiang, 15:40.93, hyvin jepkemoi, 15:42.64, esther ndiema, 15:43.48, goytetom gebresilasse, 15:49.90, angeline myiramsabimana, 16:24.04, mekdes weldu, 16:42.69, thandiwe nyathy, 17:13.00
[ "Rank", "Name", "Nationality", "Time" ]
who are the athletes?
[ [ "nan", "Sule Utura", "Ethiopia", "15:38.70" ], [ "nan", "Emebet Anteneh Mengistu", "Ethiopia", "15:40.13" ], [ "nan", "Pauline Korikwiang", "Kenya", "15:40.93" ], [ "4.0", "Hyvin Jepkemoi", "Kenya", "15:42.64" ], [ "5.0", "Esther Ndiema", "Kenya", "15:43.48" ], [ "6.0", "Goytetom Gebresilasse", "Ethiopia", "15:49.90" ], [ "7.0", "Angeline Myiramsabimana", "Rwanda", "16:24.04" ], [ "8.0", "Mekdes Weldu", "Eritrea", "16:42.69" ], [ "9.0", "Thandiwe Nyathy", "Zimbabwe", "17:13.00" ] ]
[ "Sule Utura", "15:38.70", "Emebet Anteneh Mengistu", "15:40.13", "Pauline Korikwiang", "15:40.93", "Hyvin Jepkemoi", "15:42.64", "Esther Ndiema", "15:43.48", "Goytetom Gebresilasse", "15:49.90", "Angeline Myiramsabimana", "16:24.04", "Mekdes Weldu", "16:42.69", "Thandiwe Nyathy", "17:13.00" ]
who are the athletes? ||
nt-5356
col : rank | name | nationality | time row 1 : nan | sule utura | ethiopia | 15:38.70 row 2 : nan | emebet anteneh mengistu | ethiopia | 15:40.13 row 3 : nan | pauline korikwiang | kenya | 15:40.93 row 4 : 4.0 | hyvin jepkemoi | kenya | 15:42.64 row 5 : 5.0 | esther ndiema | kenya | 15:43.48 row 6 : 6.0 | goytetom gebresilasse | ethiopia | 15:49.90 row 7 : 7.0 | angeline myiramsabimana | rwanda | 16:24.04 row 8 : 8.0 | mekdes weldu | eritrea | 16:42.69 row 9 : 9.0 | thandiwe nyathy | zimbabwe | 17:13.00
table_csv/204_90.csv
1
{ "column_index": [ 1, 3 ], "row_index": [ 1, 1 ] }
[ "who are the athletes?", "what was emebet anteneh mengistu's time?" ]
2
emebet anteneh mengistu, 15:40.13
[ "Rank", "Name", "Nationality", "Time" ]
what was emebet anteneh mengistu's time?
[ [ "nan", "Sule Utura", "Ethiopia", "15:38.70" ], [ "nan", "Emebet Anteneh Mengistu", "Ethiopia", "15:40.13" ], [ "nan", "Pauline Korikwiang", "Kenya", "15:40.93" ], [ "4.0", "Hyvin Jepkemoi", "Kenya", "15:42.64" ], [ "5.0", "Esther Ndiema", "Kenya", "15:43.48" ], [ "6.0", "Goytetom Gebresilasse", "Ethiopia", "15:49.90" ], [ "7.0", "Angeline Myiramsabimana", "Rwanda", "16:24.04" ], [ "8.0", "Mekdes Weldu", "Eritrea", "16:42.69" ], [ "9.0", "Thandiwe Nyathy", "Zimbabwe", "17:13.00" ] ]
[ "Emebet Anteneh Mengistu", "15:40.13" ]
what was emebet anteneh mengistu's time? || who are the athletes?
nt-5356
col : rank | name | nationality | time row 1 : nan | sule utura | ethiopia | 15:38.70 row 2 : nan | emebet anteneh mengistu | ethiopia | 15:40.13 row 3 : nan | pauline korikwiang | kenya | 15:40.93 row 4 : 4.0 | hyvin jepkemoi | kenya | 15:42.64 row 5 : 5.0 | esther ndiema | kenya | 15:43.48 row 6 : 6.0 | goytetom gebresilasse | ethiopia | 15:49.90 row 7 : 7.0 | angeline myiramsabimana | rwanda | 16:24.04 row 8 : 8.0 | mekdes weldu | eritrea | 16:42.69 row 9 : 9.0 | thandiwe nyathy | zimbabwe | 17:13.00
table_csv/204_90.csv
2
{ "column_index": [ 1, 3 ], "row_index": [ 0, 0 ] }
[ "who are the athletes?", "what was emebet anteneh mengistu's time?", "who had a faster time?" ]
2
sule utura, 15:38.70
[ "Rank", "Name", "Nationality", "Time" ]
who had a faster time?
[ [ "nan", "Sule Utura", "Ethiopia", "15:38.70" ], [ "nan", "Emebet Anteneh Mengistu", "Ethiopia", "15:40.13" ], [ "nan", "Pauline Korikwiang", "Kenya", "15:40.93" ], [ "4.0", "Hyvin Jepkemoi", "Kenya", "15:42.64" ], [ "5.0", "Esther Ndiema", "Kenya", "15:43.48" ], [ "6.0", "Goytetom Gebresilasse", "Ethiopia", "15:49.90" ], [ "7.0", "Angeline Myiramsabimana", "Rwanda", "16:24.04" ], [ "8.0", "Mekdes Weldu", "Eritrea", "16:42.69" ], [ "9.0", "Thandiwe Nyathy", "Zimbabwe", "17:13.00" ] ]
[ "Sule Utura", "15:38.70" ]
who had a faster time? || what was emebet anteneh mengistu's time? | who are the athletes?
nt-5356
col : rank | name | nationality | time row 1 : nan | sule utura | ethiopia | 15:38.70 row 2 : nan | emebet anteneh mengistu | ethiopia | 15:40.13 row 3 : nan | pauline korikwiang | kenya | 15:40.93 row 4 : 4.0 | hyvin jepkemoi | kenya | 15:42.64 row 5 : 5.0 | esther ndiema | kenya | 15:43.48 row 6 : 6.0 | goytetom gebresilasse | ethiopia | 15:49.90 row 7 : 7.0 | angeline myiramsabimana | rwanda | 16:24.04 row 8 : 8.0 | mekdes weldu | eritrea | 16:42.69 row 9 : 9.0 | thandiwe nyathy | zimbabwe | 17:13.00
table_csv/204_90.csv
3
{ "column_index": [ 1 ], "row_index": [ 0 ] }
[ "who are the athletes?", "what was emebet anteneh mengistu's time?", "who had a faster time?", "who is it?" ]
2
sule utura
[ "Rank", "Name", "Nationality", "Time" ]
who is it?
[ [ "nan", "Sule Utura", "Ethiopia", "15:38.70" ], [ "nan", "Emebet Anteneh Mengistu", "Ethiopia", "15:40.13" ], [ "nan", "Pauline Korikwiang", "Kenya", "15:40.93" ], [ "4.0", "Hyvin Jepkemoi", "Kenya", "15:42.64" ], [ "5.0", "Esther Ndiema", "Kenya", "15:43.48" ], [ "6.0", "Goytetom Gebresilasse", "Ethiopia", "15:49.90" ], [ "7.0", "Angeline Myiramsabimana", "Rwanda", "16:24.04" ], [ "8.0", "Mekdes Weldu", "Eritrea", "16:42.69" ], [ "9.0", "Thandiwe Nyathy", "Zimbabwe", "17:13.00" ] ]
[ "Sule Utura" ]
who is it? || who had a faster time? | what was emebet anteneh mengistu's time? | who are the athletes?
ns-9
col : district | area size (km2) | population | density per km2 row 1 : yamato flat inland plain | 837.27 | 1,282 | 1,531 row 2 : (share in %) | 22.7% | 89.7% | nan row 3 : yamato highland | 506.89 | 56 | 110 row 4 : (share in %) | 13.7% | 3.9% | nan row 5 : gojo, yoshino | 2,346.84 | 92 | 39 row 6 : (share in %) | 63.6% | 6.4% | nan row 7 : total prefecture | 3,691.09 | 1,430 | 387 row 8 : (share in %) | 100.0% | 100.0% | nan
table_csv/200_33.csv
0
{ "column_index": [ 1, 1, 1 ], "row_index": [ 0, 2, 4 ] }
[ "what are the different total area land sizes?" ]
0
837.27, 506.89, 2,346.84
[ "District", "Area Size (km2)", "Population", "Density per km2" ]
what are the different total area land sizes?
[ [ "Yamato flat inland plain", "837.27", "1,282", "1,531" ], [ "(Share in %)", "22.7%", "89.7%", "nan" ], [ "Yamato highland", "506.89", "56", "110" ], [ "(Share in %)", "13.7%", "3.9%", "nan" ], [ "Gojo, Yoshino", "2,346.84", "92", "39" ], [ "(Share in %)", "63.6%", "6.4%", "nan" ], [ "Total Prefecture", "3,691.09", "1,430", "387" ], [ "(Share in %)", "100.0%", "100.0%", "nan" ] ]
[ "837.27", "506.89", "2,346.84" ]
what are the different total area land sizes? ||
ns-9
col : district | area size (km2) | population | density per km2 row 1 : yamato flat inland plain | 837.27 | 1,282 | 1,531 row 2 : (share in %) | 22.7% | 89.7% | nan row 3 : yamato highland | 506.89 | 56 | 110 row 4 : (share in %) | 13.7% | 3.9% | nan row 5 : gojo, yoshino | 2,346.84 | 92 | 39 row 6 : (share in %) | 63.6% | 6.4% | nan row 7 : total prefecture | 3,691.09 | 1,430 | 387 row 8 : (share in %) | 100.0% | 100.0% | nan
table_csv/200_33.csv
1
{ "column_index": [ 1 ], "row_index": [ 2 ] }
[ "what are the different total area land sizes?", "which of those is the lowest?" ]
0
506.89
[ "District", "Area Size (km2)", "Population", "Density per km2" ]
which of those is the lowest?
[ [ "Yamato flat inland plain", "837.27", "1,282", "1,531" ], [ "(Share in %)", "22.7%", "89.7%", "nan" ], [ "Yamato highland", "506.89", "56", "110" ], [ "(Share in %)", "13.7%", "3.9%", "nan" ], [ "Gojo, Yoshino", "2,346.84", "92", "39" ], [ "(Share in %)", "63.6%", "6.4%", "nan" ], [ "Total Prefecture", "3,691.09", "1,430", "387" ], [ "(Share in %)", "100.0%", "100.0%", "nan" ] ]
[ "506.89" ]
which of those is the lowest? || what are the different total area land sizes?
ns-9
col : district | area size (km2) | population | density per km2 row 1 : yamato flat inland plain | 837.27 | 1,282 | 1,531 row 2 : (share in %) | 22.7% | 89.7% | nan row 3 : yamato highland | 506.89 | 56 | 110 row 4 : (share in %) | 13.7% | 3.9% | nan row 5 : gojo, yoshino | 2,346.84 | 92 | 39 row 6 : (share in %) | 63.6% | 6.4% | nan row 7 : total prefecture | 3,691.09 | 1,430 | 387 row 8 : (share in %) | 100.0% | 100.0% | nan
table_csv/200_33.csv
2
{ "column_index": [ 0 ], "row_index": [ 2 ] }
[ "what are the different total area land sizes?", "which of those is the lowest?", "to what district does that correspond?" ]
0
yamato highland
[ "District", "Area Size (km2)", "Population", "Density per km2" ]
to what district does that correspond?
[ [ "Yamato flat inland plain", "837.27", "1,282", "1,531" ], [ "(Share in %)", "22.7%", "89.7%", "nan" ], [ "Yamato highland", "506.89", "56", "110" ], [ "(Share in %)", "13.7%", "3.9%", "nan" ], [ "Gojo, Yoshino", "2,346.84", "92", "39" ], [ "(Share in %)", "63.6%", "6.4%", "nan" ], [ "Total Prefecture", "3,691.09", "1,430", "387" ], [ "(Share in %)", "100.0%", "100.0%", "nan" ] ]
[ "Yamato highland" ]
to what district does that correspond? || which of those is the lowest? | what are the different total area land sizes?
ns-9
col : district | area size (km2) | population | density per km2 row 1 : yamato flat inland plain | 837.27 | 1,282 | 1,531 row 2 : (share in %) | 22.7% | 89.7% | nan row 3 : yamato highland | 506.89 | 56 | 110 row 4 : (share in %) | 13.7% | 3.9% | nan row 5 : gojo, yoshino | 2,346.84 | 92 | 39 row 6 : (share in %) | 63.6% | 6.4% | nan row 7 : total prefecture | 3,691.09 | 1,430 | 387 row 8 : (share in %) | 100.0% | 100.0% | nan
table_csv/200_33.csv
0
{ "column_index": [ 0, 0, 0 ], "row_index": [ 0, 2, 4 ] }
[ "what are the districts?" ]
1
yamato flat inland plain, yamato highland, gojo, yoshino
[ "District", "Area Size (km2)", "Population", "Density per km2" ]
what are the districts?
[ [ "Yamato flat inland plain", "837.27", "1,282", "1,531" ], [ "(Share in %)", "22.7%", "89.7%", "nan" ], [ "Yamato highland", "506.89", "56", "110" ], [ "(Share in %)", "13.7%", "3.9%", "nan" ], [ "Gojo, Yoshino", "2,346.84", "92", "39" ], [ "(Share in %)", "63.6%", "6.4%", "nan" ], [ "Total Prefecture", "3,691.09", "1,430", "387" ], [ "(Share in %)", "100.0%", "100.0%", "nan" ] ]
[ "Yamato flat inland plain", "Yamato highland", "Gojo, Yoshino" ]
what are the districts? ||
ns-9
col : district | area size (km2) | population | density per km2 row 1 : yamato flat inland plain | 837.27 | 1,282 | 1,531 row 2 : (share in %) | 22.7% | 89.7% | nan row 3 : yamato highland | 506.89 | 56 | 110 row 4 : (share in %) | 13.7% | 3.9% | nan row 5 : gojo, yoshino | 2,346.84 | 92 | 39 row 6 : (share in %) | 63.6% | 6.4% | nan row 7 : total prefecture | 3,691.09 | 1,430 | 387 row 8 : (share in %) | 100.0% | 100.0% | nan
table_csv/200_33.csv
1
{ "column_index": [ 1, 1, 1 ], "row_index": [ 0, 2, 4 ] }
[ "what are the districts?", "what are the total area sizes of each district?" ]
1
837.27, 506.89, 2,346.84
[ "District", "Area Size (km2)", "Population", "Density per km2" ]
what are the total area sizes of each district?
[ [ "Yamato flat inland plain", "837.27", "1,282", "1,531" ], [ "(Share in %)", "22.7%", "89.7%", "nan" ], [ "Yamato highland", "506.89", "56", "110" ], [ "(Share in %)", "13.7%", "3.9%", "nan" ], [ "Gojo, Yoshino", "2,346.84", "92", "39" ], [ "(Share in %)", "63.6%", "6.4%", "nan" ], [ "Total Prefecture", "3,691.09", "1,430", "387" ], [ "(Share in %)", "100.0%", "100.0%", "nan" ] ]
[ "837.27", "506.89", "2,346.84" ]
what are the total area sizes of each district? || what are the districts?
ns-9
col : district | area size (km2) | population | density per km2 row 1 : yamato flat inland plain | 837.27 | 1,282 | 1,531 row 2 : (share in %) | 22.7% | 89.7% | nan row 3 : yamato highland | 506.89 | 56 | 110 row 4 : (share in %) | 13.7% | 3.9% | nan row 5 : gojo, yoshino | 2,346.84 | 92 | 39 row 6 : (share in %) | 63.6% | 6.4% | nan row 7 : total prefecture | 3,691.09 | 1,430 | 387 row 8 : (share in %) | 100.0% | 100.0% | nan
table_csv/200_33.csv
2
{ "column_index": [ 0 ], "row_index": [ 2 ] }
[ "what are the districts?", "what are the total area sizes of each district?", "which district at the lowest area?" ]
1
yamato highland
[ "District", "Area Size (km2)", "Population", "Density per km2" ]
which district at the lowest area?
[ [ "Yamato flat inland plain", "837.27", "1,282", "1,531" ], [ "(Share in %)", "22.7%", "89.7%", "nan" ], [ "Yamato highland", "506.89", "56", "110" ], [ "(Share in %)", "13.7%", "3.9%", "nan" ], [ "Gojo, Yoshino", "2,346.84", "92", "39" ], [ "(Share in %)", "63.6%", "6.4%", "nan" ], [ "Total Prefecture", "3,691.09", "1,430", "387" ], [ "(Share in %)", "100.0%", "100.0%", "nan" ] ]
[ "Yamato highland" ]
which district at the lowest area? || what are the total area sizes of each district? | what are the districts?
ns-9
col : district | area size (km2) | population | density per km2 row 1 : yamato flat inland plain | 837.27 | 1,282 | 1,531 row 2 : (share in %) | 22.7% | 89.7% | nan row 3 : yamato highland | 506.89 | 56 | 110 row 4 : (share in %) | 13.7% | 3.9% | nan row 5 : gojo, yoshino | 2,346.84 | 92 | 39 row 6 : (share in %) | 63.6% | 6.4% | nan row 7 : total prefecture | 3,691.09 | 1,430 | 387 row 8 : (share in %) | 100.0% | 100.0% | nan
table_csv/200_33.csv
0
{ "column_index": [ 0, 0, 0, 0 ], "row_index": [ 0, 2, 4, 6 ] }
[ "what are all of the districts?" ]
2
yamato flat inland plain, yamato highland, gojo, yoshino, total prefecture
[ "District", "Area Size (km2)", "Population", "Density per km2" ]
what are all of the districts?
[ [ "Yamato flat inland plain", "837.27", "1,282", "1,531" ], [ "(Share in %)", "22.7%", "89.7%", "nan" ], [ "Yamato highland", "506.89", "56", "110" ], [ "(Share in %)", "13.7%", "3.9%", "nan" ], [ "Gojo, Yoshino", "2,346.84", "92", "39" ], [ "(Share in %)", "63.6%", "6.4%", "nan" ], [ "Total Prefecture", "3,691.09", "1,430", "387" ], [ "(Share in %)", "100.0%", "100.0%", "nan" ] ]
[ "Yamato flat inland plain", "Yamato highland", "Gojo, Yoshino", "Total Prefecture" ]
what are all of the districts? ||
ns-9
col : district | area size (km2) | population | density per km2 row 1 : yamato flat inland plain | 837.27 | 1,282 | 1,531 row 2 : (share in %) | 22.7% | 89.7% | nan row 3 : yamato highland | 506.89 | 56 | 110 row 4 : (share in %) | 13.7% | 3.9% | nan row 5 : gojo, yoshino | 2,346.84 | 92 | 39 row 6 : (share in %) | 63.6% | 6.4% | nan row 7 : total prefecture | 3,691.09 | 1,430 | 387 row 8 : (share in %) | 100.0% | 100.0% | nan
table_csv/200_33.csv
1
{ "column_index": [ 1, 1, 1, 1 ], "row_index": [ 0, 2, 4, 6 ] }
[ "what are all of the districts?", "what is the total area size of each?" ]
2
837.27, 506.89, 2,346.84, 3,691.09
[ "District", "Area Size (km2)", "Population", "Density per km2" ]
what is the total area size of each?
[ [ "Yamato flat inland plain", "837.27", "1,282", "1,531" ], [ "(Share in %)", "22.7%", "89.7%", "nan" ], [ "Yamato highland", "506.89", "56", "110" ], [ "(Share in %)", "13.7%", "3.9%", "nan" ], [ "Gojo, Yoshino", "2,346.84", "92", "39" ], [ "(Share in %)", "63.6%", "6.4%", "nan" ], [ "Total Prefecture", "3,691.09", "1,430", "387" ], [ "(Share in %)", "100.0%", "100.0%", "nan" ] ]
[ "837.27", "506.89", "2,346.84", "3,691.09" ]
what is the total area size of each? || what are all of the districts?
ns-9
col : district | area size (km2) | population | density per km2 row 1 : yamato flat inland plain | 837.27 | 1,282 | 1,531 row 2 : (share in %) | 22.7% | 89.7% | nan row 3 : yamato highland | 506.89 | 56 | 110 row 4 : (share in %) | 13.7% | 3.9% | nan row 5 : gojo, yoshino | 2,346.84 | 92 | 39 row 6 : (share in %) | 63.6% | 6.4% | nan row 7 : total prefecture | 3,691.09 | 1,430 | 387 row 8 : (share in %) | 100.0% | 100.0% | nan
table_csv/200_33.csv
2
{ "column_index": [ 0 ], "row_index": [ 2 ] }
[ "what are all of the districts?", "what is the total area size of each?", "and which district has the smallest area size?" ]
2
yamato highland
[ "District", "Area Size (km2)", "Population", "Density per km2" ]
and which district has the smallest area size?
[ [ "Yamato flat inland plain", "837.27", "1,282", "1,531" ], [ "(Share in %)", "22.7%", "89.7%", "nan" ], [ "Yamato highland", "506.89", "56", "110" ], [ "(Share in %)", "13.7%", "3.9%", "nan" ], [ "Gojo, Yoshino", "2,346.84", "92", "39" ], [ "(Share in %)", "63.6%", "6.4%", "nan" ], [ "Total Prefecture", "3,691.09", "1,430", "387" ], [ "(Share in %)", "100.0%", "100.0%", "nan" ] ]
[ "Yamato highland" ]
and which district has the smallest area size? || what is the total area size of each? | what are all of the districts?
nt-8081
col : date | tournament | winner | purse ($) | notes row 1 : 25 feb | pinamar open | miguel rodriguez | 70,000 | nan row 2 : 3 mar | south open | rafael gomez | 100,000 | nan row 3 : 10 mar | parana open | julio zapata | 70,000 | nan row 4 : 8 apr | norpatagonico open | luciano dodda (amateur) | nan | pga argentina- no valid tpg row 5 : 15 apr | center open | angel cabrera | 200,000 | co-sanctioned by the tla row 6 : 22 apr | angel cabrera classic | rafael gomez | 120,000 | nan row 7 : 29 apr | chaco open | fabian gomez | 70,000 | nan row 8 : 9 jun | north open | ricardo gonzalez, andres romero (tie | 80,000 | nan row 9 : 10 jul | metropolitano open | jose coceres | nan | pga argentina- no valid tpg row 10 : 11 aug | misiones open | sergio acevedo | 70,000 | nan row 11 : 19 aug | carlos franco invitational | marco ruiz | 93,000 | nan row 12 : 29 sep | salta open | andres romero | 80,000 | nan row 13 : 7 oct | tandil open | diego ortiz | 70,000 | nan row 14 : 27 oct | argentine masters | angel cabrera | 420,000 | co-sanctioned by the tla row 15 : 4 nov | mendoza open | rafael echenique | 80,000 | nan row 16 : 11 nov | roberto de vicenzo classic | miguel guzman | 120,000 | nan row 17 : 25 nov | san luis open | emilio dominguez | 450,000 | co-sanctioned by the tla row 18 : 2 dec | abierto del litoral | miguel rodriguez | 520,000 | co-sanctioned by the tla and challenge tour row 19 : 9 dec | argentine open | marco ruiz | 600,000 | co-sanctioned by the tla and challenge tour
table_csv/204_865.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18 ] }
[ "what where the tournaments in the 2007 tpg tour?" ]
0
pinamar open, south open, parana open, norpatagonico open, center open, angel cabrera classic, chaco open, north open, metropolitano open, misiones open, carlos franco invitational, salta open, tandil open, argentine masters, mendoza open, roberto de vicenzo classic, san luis open, abierto del litoral, argentine open
[ "Date", "Tournament", "Winner", "Purse ($)", "Notes" ]
what where the tournaments in the 2007 tpg tour?
[ [ "25 Feb", "Pinamar Open", "Miguel Rodriguez", "70,000", "nan" ], [ "3 Mar", "South Open", "Rafael Gomez", "100,000", "nan" ], [ "10 Mar", "Parana Open", "Julio Zapata", "70,000", "nan" ], [ "8 Apr", "Norpatagonico Open", "Luciano Dodda (amateur)", "nan", "PGA Argentina- No valid TPG" ], [ "15 Apr", "Center Open", "Angel Cabrera", "200,000", "Co-sanctioned by the TLA" ], [ "22 Apr", "Angel Cabrera Classic", "Rafael Gomez", "120,000", "nan" ], [ "29 Apr", "Chaco Open", "Fabian Gomez", "70,000", "nan" ], [ "9 Jun", "North Open", "Ricardo Gonzalez, Andres Romero (tie", "80,000", "nan" ], [ "10 Jul", "Metropolitano Open", "Jose Coceres", "nan", "PGA Argentina- No valid TPG" ], [ "11 Aug", "Misiones Open", "Sergio Acevedo", "70,000", "nan" ], [ "19 Aug", "Carlos Franco Invitational", "Marco Ruiz", "93,000", "nan" ], [ "29 Sep", "Salta Open", "Andres Romero", "80,000", "nan" ], [ "7 Oct", "Tandil Open", "Diego Ortiz", "70,000", "nan" ], [ "27 Oct", "Argentine Masters", "Angel Cabrera", "420,000", "Co-sanctioned by the TLA" ], [ "4 Nov", "Mendoza Open", "Rafael Echenique", "80,000", "nan" ], [ "11 Nov", "Roberto de Vicenzo Classic", "Miguel Guzman", "120,000", "nan" ], [ "25 Nov", "San Luis Open", "Emilio Dominguez", "450,000", "Co-sanctioned by the TLA" ], [ "2 Dec", "Abierto del Litoral", "Miguel Rodriguez", "520,000", "Co-sanctioned by the TLA and Challenge Tour" ], [ "9 Dec", "Argentine Open", "Marco Ruiz", "600,000", "Co-sanctioned by the TLA and Challenge Tour" ] ]
[ "Pinamar Open", "South Open", "Parana Open", "Norpatagonico Open", "Center Open", "Angel Cabrera Classic", "Chaco Open", "North Open", "Metropolitano Open", "Misiones Open", "Carlos Franco Invitational", "Salta Open", "Tandil Open", "Argentine Masters", "Mendoza Open", "Roberto de Vicenzo Classic", "San Luis Open", "Abierto del Litoral", "Argentine Open" ]
what where the tournaments in the 2007 tpg tour? ||
nt-8081
col : date | tournament | winner | purse ($) | notes row 1 : 25 feb | pinamar open | miguel rodriguez | 70,000 | nan row 2 : 3 mar | south open | rafael gomez | 100,000 | nan row 3 : 10 mar | parana open | julio zapata | 70,000 | nan row 4 : 8 apr | norpatagonico open | luciano dodda (amateur) | nan | pga argentina- no valid tpg row 5 : 15 apr | center open | angel cabrera | 200,000 | co-sanctioned by the tla row 6 : 22 apr | angel cabrera classic | rafael gomez | 120,000 | nan row 7 : 29 apr | chaco open | fabian gomez | 70,000 | nan row 8 : 9 jun | north open | ricardo gonzalez, andres romero (tie | 80,000 | nan row 9 : 10 jul | metropolitano open | jose coceres | nan | pga argentina- no valid tpg row 10 : 11 aug | misiones open | sergio acevedo | 70,000 | nan row 11 : 19 aug | carlos franco invitational | marco ruiz | 93,000 | nan row 12 : 29 sep | salta open | andres romero | 80,000 | nan row 13 : 7 oct | tandil open | diego ortiz | 70,000 | nan row 14 : 27 oct | argentine masters | angel cabrera | 420,000 | co-sanctioned by the tla row 15 : 4 nov | mendoza open | rafael echenique | 80,000 | nan row 16 : 11 nov | roberto de vicenzo classic | miguel guzman | 120,000 | nan row 17 : 25 nov | san luis open | emilio dominguez | 450,000 | co-sanctioned by the tla row 18 : 2 dec | abierto del litoral | miguel rodriguez | 520,000 | co-sanctioned by the tla and challenge tour row 19 : 9 dec | argentine open | marco ruiz | 600,000 | co-sanctioned by the tla and challenge tour
table_csv/204_865.csv
1
{ "column_index": [ 1 ], "row_index": [ 18 ] }
[ "what where the tournaments in the 2007 tpg tour?", "which of these tournaments had the highest purse?" ]
0
argentine open
[ "Date", "Tournament", "Winner", "Purse ($)", "Notes" ]
which of these tournaments had the highest purse?
[ [ "25 Feb", "Pinamar Open", "Miguel Rodriguez", "70,000", "nan" ], [ "3 Mar", "South Open", "Rafael Gomez", "100,000", "nan" ], [ "10 Mar", "Parana Open", "Julio Zapata", "70,000", "nan" ], [ "8 Apr", "Norpatagonico Open", "Luciano Dodda (amateur)", "nan", "PGA Argentina- No valid TPG" ], [ "15 Apr", "Center Open", "Angel Cabrera", "200,000", "Co-sanctioned by the TLA" ], [ "22 Apr", "Angel Cabrera Classic", "Rafael Gomez", "120,000", "nan" ], [ "29 Apr", "Chaco Open", "Fabian Gomez", "70,000", "nan" ], [ "9 Jun", "North Open", "Ricardo Gonzalez, Andres Romero (tie", "80,000", "nan" ], [ "10 Jul", "Metropolitano Open", "Jose Coceres", "nan", "PGA Argentina- No valid TPG" ], [ "11 Aug", "Misiones Open", "Sergio Acevedo", "70,000", "nan" ], [ "19 Aug", "Carlos Franco Invitational", "Marco Ruiz", "93,000", "nan" ], [ "29 Sep", "Salta Open", "Andres Romero", "80,000", "nan" ], [ "7 Oct", "Tandil Open", "Diego Ortiz", "70,000", "nan" ], [ "27 Oct", "Argentine Masters", "Angel Cabrera", "420,000", "Co-sanctioned by the TLA" ], [ "4 Nov", "Mendoza Open", "Rafael Echenique", "80,000", "nan" ], [ "11 Nov", "Roberto de Vicenzo Classic", "Miguel Guzman", "120,000", "nan" ], [ "25 Nov", "San Luis Open", "Emilio Dominguez", "450,000", "Co-sanctioned by the TLA" ], [ "2 Dec", "Abierto del Litoral", "Miguel Rodriguez", "520,000", "Co-sanctioned by the TLA and Challenge Tour" ], [ "9 Dec", "Argentine Open", "Marco Ruiz", "600,000", "Co-sanctioned by the TLA and Challenge Tour" ] ]
[ "Argentine Open" ]
which of these tournaments had the highest purse? || what where the tournaments in the 2007 tpg tour?
nt-8081
col : date | tournament | winner | purse ($) | notes row 1 : 25 feb | pinamar open | miguel rodriguez | 70,000 | nan row 2 : 3 mar | south open | rafael gomez | 100,000 | nan row 3 : 10 mar | parana open | julio zapata | 70,000 | nan row 4 : 8 apr | norpatagonico open | luciano dodda (amateur) | nan | pga argentina- no valid tpg row 5 : 15 apr | center open | angel cabrera | 200,000 | co-sanctioned by the tla row 6 : 22 apr | angel cabrera classic | rafael gomez | 120,000 | nan row 7 : 29 apr | chaco open | fabian gomez | 70,000 | nan row 8 : 9 jun | north open | ricardo gonzalez, andres romero (tie | 80,000 | nan row 9 : 10 jul | metropolitano open | jose coceres | nan | pga argentina- no valid tpg row 10 : 11 aug | misiones open | sergio acevedo | 70,000 | nan row 11 : 19 aug | carlos franco invitational | marco ruiz | 93,000 | nan row 12 : 29 sep | salta open | andres romero | 80,000 | nan row 13 : 7 oct | tandil open | diego ortiz | 70,000 | nan row 14 : 27 oct | argentine masters | angel cabrera | 420,000 | co-sanctioned by the tla row 15 : 4 nov | mendoza open | rafael echenique | 80,000 | nan row 16 : 11 nov | roberto de vicenzo classic | miguel guzman | 120,000 | nan row 17 : 25 nov | san luis open | emilio dominguez | 450,000 | co-sanctioned by the tla row 18 : 2 dec | abierto del litoral | miguel rodriguez | 520,000 | co-sanctioned by the tla and challenge tour row 19 : 9 dec | argentine open | marco ruiz | 600,000 | co-sanctioned by the tla and challenge tour
table_csv/204_865.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18 ] }
[ "what were all the tournaments in 2007?" ]
1
pinamar open, south open, parana open, norpatagonico open, center open, angel cabrera classic, chaco open, north open, metropolitano open, misiones open, carlos franco invitational, salta open, tandil open, argentine masters, mendoza open, roberto de vicenzo classic, san luis open, abierto del litoral, argentine open
[ "Date", "Tournament", "Winner", "Purse ($)", "Notes" ]
what were all the tournaments in 2007?
[ [ "25 Feb", "Pinamar Open", "Miguel Rodriguez", "70,000", "nan" ], [ "3 Mar", "South Open", "Rafael Gomez", "100,000", "nan" ], [ "10 Mar", "Parana Open", "Julio Zapata", "70,000", "nan" ], [ "8 Apr", "Norpatagonico Open", "Luciano Dodda (amateur)", "nan", "PGA Argentina- No valid TPG" ], [ "15 Apr", "Center Open", "Angel Cabrera", "200,000", "Co-sanctioned by the TLA" ], [ "22 Apr", "Angel Cabrera Classic", "Rafael Gomez", "120,000", "nan" ], [ "29 Apr", "Chaco Open", "Fabian Gomez", "70,000", "nan" ], [ "9 Jun", "North Open", "Ricardo Gonzalez, Andres Romero (tie", "80,000", "nan" ], [ "10 Jul", "Metropolitano Open", "Jose Coceres", "nan", "PGA Argentina- No valid TPG" ], [ "11 Aug", "Misiones Open", "Sergio Acevedo", "70,000", "nan" ], [ "19 Aug", "Carlos Franco Invitational", "Marco Ruiz", "93,000", "nan" ], [ "29 Sep", "Salta Open", "Andres Romero", "80,000", "nan" ], [ "7 Oct", "Tandil Open", "Diego Ortiz", "70,000", "nan" ], [ "27 Oct", "Argentine Masters", "Angel Cabrera", "420,000", "Co-sanctioned by the TLA" ], [ "4 Nov", "Mendoza Open", "Rafael Echenique", "80,000", "nan" ], [ "11 Nov", "Roberto de Vicenzo Classic", "Miguel Guzman", "120,000", "nan" ], [ "25 Nov", "San Luis Open", "Emilio Dominguez", "450,000", "Co-sanctioned by the TLA" ], [ "2 Dec", "Abierto del Litoral", "Miguel Rodriguez", "520,000", "Co-sanctioned by the TLA and Challenge Tour" ], [ "9 Dec", "Argentine Open", "Marco Ruiz", "600,000", "Co-sanctioned by the TLA and Challenge Tour" ] ]
[ "Pinamar Open", "South Open", "Parana Open", "Norpatagonico Open", "Center Open", "Angel Cabrera Classic", "Chaco Open", "North Open", "Metropolitano Open", "Misiones Open", "Carlos Franco Invitational", "Salta Open", "Tandil Open", "Argentine Masters", "Mendoza Open", "Roberto de Vicenzo Classic", "San Luis Open", "Abierto del Litoral", "Argentine Open" ]
what were all the tournaments in 2007? ||
nt-8081
col : date | tournament | winner | purse ($) | notes row 1 : 25 feb | pinamar open | miguel rodriguez | 70,000 | nan row 2 : 3 mar | south open | rafael gomez | 100,000 | nan row 3 : 10 mar | parana open | julio zapata | 70,000 | nan row 4 : 8 apr | norpatagonico open | luciano dodda (amateur) | nan | pga argentina- no valid tpg row 5 : 15 apr | center open | angel cabrera | 200,000 | co-sanctioned by the tla row 6 : 22 apr | angel cabrera classic | rafael gomez | 120,000 | nan row 7 : 29 apr | chaco open | fabian gomez | 70,000 | nan row 8 : 9 jun | north open | ricardo gonzalez, andres romero (tie | 80,000 | nan row 9 : 10 jul | metropolitano open | jose coceres | nan | pga argentina- no valid tpg row 10 : 11 aug | misiones open | sergio acevedo | 70,000 | nan row 11 : 19 aug | carlos franco invitational | marco ruiz | 93,000 | nan row 12 : 29 sep | salta open | andres romero | 80,000 | nan row 13 : 7 oct | tandil open | diego ortiz | 70,000 | nan row 14 : 27 oct | argentine masters | angel cabrera | 420,000 | co-sanctioned by the tla row 15 : 4 nov | mendoza open | rafael echenique | 80,000 | nan row 16 : 11 nov | roberto de vicenzo classic | miguel guzman | 120,000 | nan row 17 : 25 nov | san luis open | emilio dominguez | 450,000 | co-sanctioned by the tla row 18 : 2 dec | abierto del litoral | miguel rodriguez | 520,000 | co-sanctioned by the tla and challenge tour row 19 : 9 dec | argentine open | marco ruiz | 600,000 | co-sanctioned by the tla and challenge tour
table_csv/204_865.csv
1
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18 ] }
[ "what were all the tournaments in 2007?", "of these, which had a purse?" ]
1
pinamar open, south open, parana open, center open, angel cabrera classic, chaco open, north open, misiones open, carlos franco invitational, salta open, tandil open, argentine masters, mendoza open, roberto de vicenzo classic, san luis open, abierto del litoral, argentine open
[ "Date", "Tournament", "Winner", "Purse ($)", "Notes" ]
of these, which had a purse?
[ [ "25 Feb", "Pinamar Open", "Miguel Rodriguez", "70,000", "nan" ], [ "3 Mar", "South Open", "Rafael Gomez", "100,000", "nan" ], [ "10 Mar", "Parana Open", "Julio Zapata", "70,000", "nan" ], [ "8 Apr", "Norpatagonico Open", "Luciano Dodda (amateur)", "nan", "PGA Argentina- No valid TPG" ], [ "15 Apr", "Center Open", "Angel Cabrera", "200,000", "Co-sanctioned by the TLA" ], [ "22 Apr", "Angel Cabrera Classic", "Rafael Gomez", "120,000", "nan" ], [ "29 Apr", "Chaco Open", "Fabian Gomez", "70,000", "nan" ], [ "9 Jun", "North Open", "Ricardo Gonzalez, Andres Romero (tie", "80,000", "nan" ], [ "10 Jul", "Metropolitano Open", "Jose Coceres", "nan", "PGA Argentina- No valid TPG" ], [ "11 Aug", "Misiones Open", "Sergio Acevedo", "70,000", "nan" ], [ "19 Aug", "Carlos Franco Invitational", "Marco Ruiz", "93,000", "nan" ], [ "29 Sep", "Salta Open", "Andres Romero", "80,000", "nan" ], [ "7 Oct", "Tandil Open", "Diego Ortiz", "70,000", "nan" ], [ "27 Oct", "Argentine Masters", "Angel Cabrera", "420,000", "Co-sanctioned by the TLA" ], [ "4 Nov", "Mendoza Open", "Rafael Echenique", "80,000", "nan" ], [ "11 Nov", "Roberto de Vicenzo Classic", "Miguel Guzman", "120,000", "nan" ], [ "25 Nov", "San Luis Open", "Emilio Dominguez", "450,000", "Co-sanctioned by the TLA" ], [ "2 Dec", "Abierto del Litoral", "Miguel Rodriguez", "520,000", "Co-sanctioned by the TLA and Challenge Tour" ], [ "9 Dec", "Argentine Open", "Marco Ruiz", "600,000", "Co-sanctioned by the TLA and Challenge Tour" ] ]
[ "Pinamar Open", "South Open", "Parana Open", "Center Open", "Angel Cabrera Classic", "Chaco Open", "North Open", "Misiones Open", "Carlos Franco Invitational", "Salta Open", "Tandil Open", "Argentine Masters", "Mendoza Open", "Roberto de Vicenzo Classic", "San Luis Open", "Abierto del Litoral", "Argentine Open" ]
of these, which had a purse? || what were all the tournaments in 2007?
nt-8081
col : date | tournament | winner | purse ($) | notes row 1 : 25 feb | pinamar open | miguel rodriguez | 70,000 | nan row 2 : 3 mar | south open | rafael gomez | 100,000 | nan row 3 : 10 mar | parana open | julio zapata | 70,000 | nan row 4 : 8 apr | norpatagonico open | luciano dodda (amateur) | nan | pga argentina- no valid tpg row 5 : 15 apr | center open | angel cabrera | 200,000 | co-sanctioned by the tla row 6 : 22 apr | angel cabrera classic | rafael gomez | 120,000 | nan row 7 : 29 apr | chaco open | fabian gomez | 70,000 | nan row 8 : 9 jun | north open | ricardo gonzalez, andres romero (tie | 80,000 | nan row 9 : 10 jul | metropolitano open | jose coceres | nan | pga argentina- no valid tpg row 10 : 11 aug | misiones open | sergio acevedo | 70,000 | nan row 11 : 19 aug | carlos franco invitational | marco ruiz | 93,000 | nan row 12 : 29 sep | salta open | andres romero | 80,000 | nan row 13 : 7 oct | tandil open | diego ortiz | 70,000 | nan row 14 : 27 oct | argentine masters | angel cabrera | 420,000 | co-sanctioned by the tla row 15 : 4 nov | mendoza open | rafael echenique | 80,000 | nan row 16 : 11 nov | roberto de vicenzo classic | miguel guzman | 120,000 | nan row 17 : 25 nov | san luis open | emilio dominguez | 450,000 | co-sanctioned by the tla row 18 : 2 dec | abierto del litoral | miguel rodriguez | 520,000 | co-sanctioned by the tla and challenge tour row 19 : 9 dec | argentine open | marco ruiz | 600,000 | co-sanctioned by the tla and challenge tour
table_csv/204_865.csv
2
{ "column_index": [ 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3 ], "row_index": [ 0, 1, 2, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18 ] }
[ "what were all the tournaments in 2007?", "of these, which had a purse?", "what were the purses of these tournaments?" ]
1
70,000, 100,000, 70,000, 200,000, 120,000, 70,000, 80,000, 70,000, 93,000, 80,000, 70,000, 420,000, 80,000, 120,000, 450,000, 520,000, 600,000
[ "Date", "Tournament", "Winner", "Purse ($)", "Notes" ]
what were the purses of these tournaments?
[ [ "25 Feb", "Pinamar Open", "Miguel Rodriguez", "70,000", "nan" ], [ "3 Mar", "South Open", "Rafael Gomez", "100,000", "nan" ], [ "10 Mar", "Parana Open", "Julio Zapata", "70,000", "nan" ], [ "8 Apr", "Norpatagonico Open", "Luciano Dodda (amateur)", "nan", "PGA Argentina- No valid TPG" ], [ "15 Apr", "Center Open", "Angel Cabrera", "200,000", "Co-sanctioned by the TLA" ], [ "22 Apr", "Angel Cabrera Classic", "Rafael Gomez", "120,000", "nan" ], [ "29 Apr", "Chaco Open", "Fabian Gomez", "70,000", "nan" ], [ "9 Jun", "North Open", "Ricardo Gonzalez, Andres Romero (tie", "80,000", "nan" ], [ "10 Jul", "Metropolitano Open", "Jose Coceres", "nan", "PGA Argentina- No valid TPG" ], [ "11 Aug", "Misiones Open", "Sergio Acevedo", "70,000", "nan" ], [ "19 Aug", "Carlos Franco Invitational", "Marco Ruiz", "93,000", "nan" ], [ "29 Sep", "Salta Open", "Andres Romero", "80,000", "nan" ], [ "7 Oct", "Tandil Open", "Diego Ortiz", "70,000", "nan" ], [ "27 Oct", "Argentine Masters", "Angel Cabrera", "420,000", "Co-sanctioned by the TLA" ], [ "4 Nov", "Mendoza Open", "Rafael Echenique", "80,000", "nan" ], [ "11 Nov", "Roberto de Vicenzo Classic", "Miguel Guzman", "120,000", "nan" ], [ "25 Nov", "San Luis Open", "Emilio Dominguez", "450,000", "Co-sanctioned by the TLA" ], [ "2 Dec", "Abierto del Litoral", "Miguel Rodriguez", "520,000", "Co-sanctioned by the TLA and Challenge Tour" ], [ "9 Dec", "Argentine Open", "Marco Ruiz", "600,000", "Co-sanctioned by the TLA and Challenge Tour" ] ]
[ "70,000", "100,000", "70,000", "200,000", "120,000", "70,000", "80,000", "70,000", "93,000", "80,000", "70,000", "420,000", "80,000", "120,000", "450,000", "520,000", "600,000" ]
what were the purses of these tournaments? || of these, which had a purse? | what were all the tournaments in 2007?
nt-8081
col : date | tournament | winner | purse ($) | notes row 1 : 25 feb | pinamar open | miguel rodriguez | 70,000 | nan row 2 : 3 mar | south open | rafael gomez | 100,000 | nan row 3 : 10 mar | parana open | julio zapata | 70,000 | nan row 4 : 8 apr | norpatagonico open | luciano dodda (amateur) | nan | pga argentina- no valid tpg row 5 : 15 apr | center open | angel cabrera | 200,000 | co-sanctioned by the tla row 6 : 22 apr | angel cabrera classic | rafael gomez | 120,000 | nan row 7 : 29 apr | chaco open | fabian gomez | 70,000 | nan row 8 : 9 jun | north open | ricardo gonzalez, andres romero (tie | 80,000 | nan row 9 : 10 jul | metropolitano open | jose coceres | nan | pga argentina- no valid tpg row 10 : 11 aug | misiones open | sergio acevedo | 70,000 | nan row 11 : 19 aug | carlos franco invitational | marco ruiz | 93,000 | nan row 12 : 29 sep | salta open | andres romero | 80,000 | nan row 13 : 7 oct | tandil open | diego ortiz | 70,000 | nan row 14 : 27 oct | argentine masters | angel cabrera | 420,000 | co-sanctioned by the tla row 15 : 4 nov | mendoza open | rafael echenique | 80,000 | nan row 16 : 11 nov | roberto de vicenzo classic | miguel guzman | 120,000 | nan row 17 : 25 nov | san luis open | emilio dominguez | 450,000 | co-sanctioned by the tla row 18 : 2 dec | abierto del litoral | miguel rodriguez | 520,000 | co-sanctioned by the tla and challenge tour row 19 : 9 dec | argentine open | marco ruiz | 600,000 | co-sanctioned by the tla and challenge tour
table_csv/204_865.csv
3
{ "column_index": [ 3 ], "row_index": [ 18 ] }
[ "what were all the tournaments in 2007?", "of these, which had a purse?", "what were the purses of these tournaments?", "of these, which is the largest?" ]
1
600,000
[ "Date", "Tournament", "Winner", "Purse ($)", "Notes" ]
of these, which is the largest?
[ [ "25 Feb", "Pinamar Open", "Miguel Rodriguez", "70,000", "nan" ], [ "3 Mar", "South Open", "Rafael Gomez", "100,000", "nan" ], [ "10 Mar", "Parana Open", "Julio Zapata", "70,000", "nan" ], [ "8 Apr", "Norpatagonico Open", "Luciano Dodda (amateur)", "nan", "PGA Argentina- No valid TPG" ], [ "15 Apr", "Center Open", "Angel Cabrera", "200,000", "Co-sanctioned by the TLA" ], [ "22 Apr", "Angel Cabrera Classic", "Rafael Gomez", "120,000", "nan" ], [ "29 Apr", "Chaco Open", "Fabian Gomez", "70,000", "nan" ], [ "9 Jun", "North Open", "Ricardo Gonzalez, Andres Romero (tie", "80,000", "nan" ], [ "10 Jul", "Metropolitano Open", "Jose Coceres", "nan", "PGA Argentina- No valid TPG" ], [ "11 Aug", "Misiones Open", "Sergio Acevedo", "70,000", "nan" ], [ "19 Aug", "Carlos Franco Invitational", "Marco Ruiz", "93,000", "nan" ], [ "29 Sep", "Salta Open", "Andres Romero", "80,000", "nan" ], [ "7 Oct", "Tandil Open", "Diego Ortiz", "70,000", "nan" ], [ "27 Oct", "Argentine Masters", "Angel Cabrera", "420,000", "Co-sanctioned by the TLA" ], [ "4 Nov", "Mendoza Open", "Rafael Echenique", "80,000", "nan" ], [ "11 Nov", "Roberto de Vicenzo Classic", "Miguel Guzman", "120,000", "nan" ], [ "25 Nov", "San Luis Open", "Emilio Dominguez", "450,000", "Co-sanctioned by the TLA" ], [ "2 Dec", "Abierto del Litoral", "Miguel Rodriguez", "520,000", "Co-sanctioned by the TLA and Challenge Tour" ], [ "9 Dec", "Argentine Open", "Marco Ruiz", "600,000", "Co-sanctioned by the TLA and Challenge Tour" ] ]
[ "600,000" ]
of these, which is the largest? || what were the purses of these tournaments? | of these, which had a purse? | what were all the tournaments in 2007?
nt-8081
col : date | tournament | winner | purse ($) | notes row 1 : 25 feb | pinamar open | miguel rodriguez | 70,000 | nan row 2 : 3 mar | south open | rafael gomez | 100,000 | nan row 3 : 10 mar | parana open | julio zapata | 70,000 | nan row 4 : 8 apr | norpatagonico open | luciano dodda (amateur) | nan | pga argentina- no valid tpg row 5 : 15 apr | center open | angel cabrera | 200,000 | co-sanctioned by the tla row 6 : 22 apr | angel cabrera classic | rafael gomez | 120,000 | nan row 7 : 29 apr | chaco open | fabian gomez | 70,000 | nan row 8 : 9 jun | north open | ricardo gonzalez, andres romero (tie | 80,000 | nan row 9 : 10 jul | metropolitano open | jose coceres | nan | pga argentina- no valid tpg row 10 : 11 aug | misiones open | sergio acevedo | 70,000 | nan row 11 : 19 aug | carlos franco invitational | marco ruiz | 93,000 | nan row 12 : 29 sep | salta open | andres romero | 80,000 | nan row 13 : 7 oct | tandil open | diego ortiz | 70,000 | nan row 14 : 27 oct | argentine masters | angel cabrera | 420,000 | co-sanctioned by the tla row 15 : 4 nov | mendoza open | rafael echenique | 80,000 | nan row 16 : 11 nov | roberto de vicenzo classic | miguel guzman | 120,000 | nan row 17 : 25 nov | san luis open | emilio dominguez | 450,000 | co-sanctioned by the tla row 18 : 2 dec | abierto del litoral | miguel rodriguez | 520,000 | co-sanctioned by the tla and challenge tour row 19 : 9 dec | argentine open | marco ruiz | 600,000 | co-sanctioned by the tla and challenge tour
table_csv/204_865.csv
4
{ "column_index": [ 1 ], "row_index": [ 18 ] }
[ "what were all the tournaments in 2007?", "of these, which had a purse?", "what were the purses of these tournaments?", "of these, which is the largest?", "which tournament has this purse?" ]
1
argentine open
[ "Date", "Tournament", "Winner", "Purse ($)", "Notes" ]
which tournament has this purse?
[ [ "25 Feb", "Pinamar Open", "Miguel Rodriguez", "70,000", "nan" ], [ "3 Mar", "South Open", "Rafael Gomez", "100,000", "nan" ], [ "10 Mar", "Parana Open", "Julio Zapata", "70,000", "nan" ], [ "8 Apr", "Norpatagonico Open", "Luciano Dodda (amateur)", "nan", "PGA Argentina- No valid TPG" ], [ "15 Apr", "Center Open", "Angel Cabrera", "200,000", "Co-sanctioned by the TLA" ], [ "22 Apr", "Angel Cabrera Classic", "Rafael Gomez", "120,000", "nan" ], [ "29 Apr", "Chaco Open", "Fabian Gomez", "70,000", "nan" ], [ "9 Jun", "North Open", "Ricardo Gonzalez, Andres Romero (tie", "80,000", "nan" ], [ "10 Jul", "Metropolitano Open", "Jose Coceres", "nan", "PGA Argentina- No valid TPG" ], [ "11 Aug", "Misiones Open", "Sergio Acevedo", "70,000", "nan" ], [ "19 Aug", "Carlos Franco Invitational", "Marco Ruiz", "93,000", "nan" ], [ "29 Sep", "Salta Open", "Andres Romero", "80,000", "nan" ], [ "7 Oct", "Tandil Open", "Diego Ortiz", "70,000", "nan" ], [ "27 Oct", "Argentine Masters", "Angel Cabrera", "420,000", "Co-sanctioned by the TLA" ], [ "4 Nov", "Mendoza Open", "Rafael Echenique", "80,000", "nan" ], [ "11 Nov", "Roberto de Vicenzo Classic", "Miguel Guzman", "120,000", "nan" ], [ "25 Nov", "San Luis Open", "Emilio Dominguez", "450,000", "Co-sanctioned by the TLA" ], [ "2 Dec", "Abierto del Litoral", "Miguel Rodriguez", "520,000", "Co-sanctioned by the TLA and Challenge Tour" ], [ "9 Dec", "Argentine Open", "Marco Ruiz", "600,000", "Co-sanctioned by the TLA and Challenge Tour" ] ]
[ "Argentine Open" ]
which tournament has this purse? || of these, which is the largest? | what were the purses of these tournaments? | of these, which had a purse? | what were all the tournaments in 2007?
nt-8081
col : date | tournament | winner | purse ($) | notes row 1 : 25 feb | pinamar open | miguel rodriguez | 70,000 | nan row 2 : 3 mar | south open | rafael gomez | 100,000 | nan row 3 : 10 mar | parana open | julio zapata | 70,000 | nan row 4 : 8 apr | norpatagonico open | luciano dodda (amateur) | nan | pga argentina- no valid tpg row 5 : 15 apr | center open | angel cabrera | 200,000 | co-sanctioned by the tla row 6 : 22 apr | angel cabrera classic | rafael gomez | 120,000 | nan row 7 : 29 apr | chaco open | fabian gomez | 70,000 | nan row 8 : 9 jun | north open | ricardo gonzalez, andres romero (tie | 80,000 | nan row 9 : 10 jul | metropolitano open | jose coceres | nan | pga argentina- no valid tpg row 10 : 11 aug | misiones open | sergio acevedo | 70,000 | nan row 11 : 19 aug | carlos franco invitational | marco ruiz | 93,000 | nan row 12 : 29 sep | salta open | andres romero | 80,000 | nan row 13 : 7 oct | tandil open | diego ortiz | 70,000 | nan row 14 : 27 oct | argentine masters | angel cabrera | 420,000 | co-sanctioned by the tla row 15 : 4 nov | mendoza open | rafael echenique | 80,000 | nan row 16 : 11 nov | roberto de vicenzo classic | miguel guzman | 120,000 | nan row 17 : 25 nov | san luis open | emilio dominguez | 450,000 | co-sanctioned by the tla row 18 : 2 dec | abierto del litoral | miguel rodriguez | 520,000 | co-sanctioned by the tla and challenge tour row 19 : 9 dec | argentine open | marco ruiz | 600,000 | co-sanctioned by the tla and challenge tour
table_csv/204_865.csv
0
{ "column_index": [ 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18 ] }
[ "what are the purse rewards?" ]
2
70,000, 100,000, 70,000, , 200,000, 120,000, 70,000, 80,000, , 70,000, 93,000, 80,000, 70,000, 420,000, 80,000, 120,000, 450,000, 520,000, 600,000
[ "Date", "Tournament", "Winner", "Purse ($)", "Notes" ]
what are the purse rewards?
[ [ "25 Feb", "Pinamar Open", "Miguel Rodriguez", "70,000", "nan" ], [ "3 Mar", "South Open", "Rafael Gomez", "100,000", "nan" ], [ "10 Mar", "Parana Open", "Julio Zapata", "70,000", "nan" ], [ "8 Apr", "Norpatagonico Open", "Luciano Dodda (amateur)", "nan", "PGA Argentina- No valid TPG" ], [ "15 Apr", "Center Open", "Angel Cabrera", "200,000", "Co-sanctioned by the TLA" ], [ "22 Apr", "Angel Cabrera Classic", "Rafael Gomez", "120,000", "nan" ], [ "29 Apr", "Chaco Open", "Fabian Gomez", "70,000", "nan" ], [ "9 Jun", "North Open", "Ricardo Gonzalez, Andres Romero (tie", "80,000", "nan" ], [ "10 Jul", "Metropolitano Open", "Jose Coceres", "nan", "PGA Argentina- No valid TPG" ], [ "11 Aug", "Misiones Open", "Sergio Acevedo", "70,000", "nan" ], [ "19 Aug", "Carlos Franco Invitational", "Marco Ruiz", "93,000", "nan" ], [ "29 Sep", "Salta Open", "Andres Romero", "80,000", "nan" ], [ "7 Oct", "Tandil Open", "Diego Ortiz", "70,000", "nan" ], [ "27 Oct", "Argentine Masters", "Angel Cabrera", "420,000", "Co-sanctioned by the TLA" ], [ "4 Nov", "Mendoza Open", "Rafael Echenique", "80,000", "nan" ], [ "11 Nov", "Roberto de Vicenzo Classic", "Miguel Guzman", "120,000", "nan" ], [ "25 Nov", "San Luis Open", "Emilio Dominguez", "450,000", "Co-sanctioned by the TLA" ], [ "2 Dec", "Abierto del Litoral", "Miguel Rodriguez", "520,000", "Co-sanctioned by the TLA and Challenge Tour" ], [ "9 Dec", "Argentine Open", "Marco Ruiz", "600,000", "Co-sanctioned by the TLA and Challenge Tour" ] ]
[ "70,000", "100,000", "70,000", "", "200,000", "120,000", "70,000", "80,000", "", "70,000", "93,000", "80,000", "70,000", "420,000", "80,000", "120,000", "450,000", "520,000", "600,000" ]
what are the purse rewards? ||
nt-8081
col : date | tournament | winner | purse ($) | notes row 1 : 25 feb | pinamar open | miguel rodriguez | 70,000 | nan row 2 : 3 mar | south open | rafael gomez | 100,000 | nan row 3 : 10 mar | parana open | julio zapata | 70,000 | nan row 4 : 8 apr | norpatagonico open | luciano dodda (amateur) | nan | pga argentina- no valid tpg row 5 : 15 apr | center open | angel cabrera | 200,000 | co-sanctioned by the tla row 6 : 22 apr | angel cabrera classic | rafael gomez | 120,000 | nan row 7 : 29 apr | chaco open | fabian gomez | 70,000 | nan row 8 : 9 jun | north open | ricardo gonzalez, andres romero (tie | 80,000 | nan row 9 : 10 jul | metropolitano open | jose coceres | nan | pga argentina- no valid tpg row 10 : 11 aug | misiones open | sergio acevedo | 70,000 | nan row 11 : 19 aug | carlos franco invitational | marco ruiz | 93,000 | nan row 12 : 29 sep | salta open | andres romero | 80,000 | nan row 13 : 7 oct | tandil open | diego ortiz | 70,000 | nan row 14 : 27 oct | argentine masters | angel cabrera | 420,000 | co-sanctioned by the tla row 15 : 4 nov | mendoza open | rafael echenique | 80,000 | nan row 16 : 11 nov | roberto de vicenzo classic | miguel guzman | 120,000 | nan row 17 : 25 nov | san luis open | emilio dominguez | 450,000 | co-sanctioned by the tla row 18 : 2 dec | abierto del litoral | miguel rodriguez | 520,000 | co-sanctioned by the tla and challenge tour row 19 : 9 dec | argentine open | marco ruiz | 600,000 | co-sanctioned by the tla and challenge tour
table_csv/204_865.csv
1
{ "column_index": [ 3 ], "row_index": [ 18 ] }
[ "what are the purse rewards?", "of these, which is the highest?" ]
2
600,000
[ "Date", "Tournament", "Winner", "Purse ($)", "Notes" ]
of these, which is the highest?
[ [ "25 Feb", "Pinamar Open", "Miguel Rodriguez", "70,000", "nan" ], [ "3 Mar", "South Open", "Rafael Gomez", "100,000", "nan" ], [ "10 Mar", "Parana Open", "Julio Zapata", "70,000", "nan" ], [ "8 Apr", "Norpatagonico Open", "Luciano Dodda (amateur)", "nan", "PGA Argentina- No valid TPG" ], [ "15 Apr", "Center Open", "Angel Cabrera", "200,000", "Co-sanctioned by the TLA" ], [ "22 Apr", "Angel Cabrera Classic", "Rafael Gomez", "120,000", "nan" ], [ "29 Apr", "Chaco Open", "Fabian Gomez", "70,000", "nan" ], [ "9 Jun", "North Open", "Ricardo Gonzalez, Andres Romero (tie", "80,000", "nan" ], [ "10 Jul", "Metropolitano Open", "Jose Coceres", "nan", "PGA Argentina- No valid TPG" ], [ "11 Aug", "Misiones Open", "Sergio Acevedo", "70,000", "nan" ], [ "19 Aug", "Carlos Franco Invitational", "Marco Ruiz", "93,000", "nan" ], [ "29 Sep", "Salta Open", "Andres Romero", "80,000", "nan" ], [ "7 Oct", "Tandil Open", "Diego Ortiz", "70,000", "nan" ], [ "27 Oct", "Argentine Masters", "Angel Cabrera", "420,000", "Co-sanctioned by the TLA" ], [ "4 Nov", "Mendoza Open", "Rafael Echenique", "80,000", "nan" ], [ "11 Nov", "Roberto de Vicenzo Classic", "Miguel Guzman", "120,000", "nan" ], [ "25 Nov", "San Luis Open", "Emilio Dominguez", "450,000", "Co-sanctioned by the TLA" ], [ "2 Dec", "Abierto del Litoral", "Miguel Rodriguez", "520,000", "Co-sanctioned by the TLA and Challenge Tour" ], [ "9 Dec", "Argentine Open", "Marco Ruiz", "600,000", "Co-sanctioned by the TLA and Challenge Tour" ] ]
[ "600,000" ]
of these, which is the highest? || what are the purse rewards?
nt-8081
col : date | tournament | winner | purse ($) | notes row 1 : 25 feb | pinamar open | miguel rodriguez | 70,000 | nan row 2 : 3 mar | south open | rafael gomez | 100,000 | nan row 3 : 10 mar | parana open | julio zapata | 70,000 | nan row 4 : 8 apr | norpatagonico open | luciano dodda (amateur) | nan | pga argentina- no valid tpg row 5 : 15 apr | center open | angel cabrera | 200,000 | co-sanctioned by the tla row 6 : 22 apr | angel cabrera classic | rafael gomez | 120,000 | nan row 7 : 29 apr | chaco open | fabian gomez | 70,000 | nan row 8 : 9 jun | north open | ricardo gonzalez, andres romero (tie | 80,000 | nan row 9 : 10 jul | metropolitano open | jose coceres | nan | pga argentina- no valid tpg row 10 : 11 aug | misiones open | sergio acevedo | 70,000 | nan row 11 : 19 aug | carlos franco invitational | marco ruiz | 93,000 | nan row 12 : 29 sep | salta open | andres romero | 80,000 | nan row 13 : 7 oct | tandil open | diego ortiz | 70,000 | nan row 14 : 27 oct | argentine masters | angel cabrera | 420,000 | co-sanctioned by the tla row 15 : 4 nov | mendoza open | rafael echenique | 80,000 | nan row 16 : 11 nov | roberto de vicenzo classic | miguel guzman | 120,000 | nan row 17 : 25 nov | san luis open | emilio dominguez | 450,000 | co-sanctioned by the tla row 18 : 2 dec | abierto del litoral | miguel rodriguez | 520,000 | co-sanctioned by the tla and challenge tour row 19 : 9 dec | argentine open | marco ruiz | 600,000 | co-sanctioned by the tla and challenge tour
table_csv/204_865.csv
2
{ "column_index": [ 1 ], "row_index": [ 18 ] }
[ "what are the purse rewards?", "of these, which is the highest?", "which tournament is listed for this purse?" ]
2
argentine open
[ "Date", "Tournament", "Winner", "Purse ($)", "Notes" ]
which tournament is listed for this purse?
[ [ "25 Feb", "Pinamar Open", "Miguel Rodriguez", "70,000", "nan" ], [ "3 Mar", "South Open", "Rafael Gomez", "100,000", "nan" ], [ "10 Mar", "Parana Open", "Julio Zapata", "70,000", "nan" ], [ "8 Apr", "Norpatagonico Open", "Luciano Dodda (amateur)", "nan", "PGA Argentina- No valid TPG" ], [ "15 Apr", "Center Open", "Angel Cabrera", "200,000", "Co-sanctioned by the TLA" ], [ "22 Apr", "Angel Cabrera Classic", "Rafael Gomez", "120,000", "nan" ], [ "29 Apr", "Chaco Open", "Fabian Gomez", "70,000", "nan" ], [ "9 Jun", "North Open", "Ricardo Gonzalez, Andres Romero (tie", "80,000", "nan" ], [ "10 Jul", "Metropolitano Open", "Jose Coceres", "nan", "PGA Argentina- No valid TPG" ], [ "11 Aug", "Misiones Open", "Sergio Acevedo", "70,000", "nan" ], [ "19 Aug", "Carlos Franco Invitational", "Marco Ruiz", "93,000", "nan" ], [ "29 Sep", "Salta Open", "Andres Romero", "80,000", "nan" ], [ "7 Oct", "Tandil Open", "Diego Ortiz", "70,000", "nan" ], [ "27 Oct", "Argentine Masters", "Angel Cabrera", "420,000", "Co-sanctioned by the TLA" ], [ "4 Nov", "Mendoza Open", "Rafael Echenique", "80,000", "nan" ], [ "11 Nov", "Roberto de Vicenzo Classic", "Miguel Guzman", "120,000", "nan" ], [ "25 Nov", "San Luis Open", "Emilio Dominguez", "450,000", "Co-sanctioned by the TLA" ], [ "2 Dec", "Abierto del Litoral", "Miguel Rodriguez", "520,000", "Co-sanctioned by the TLA and Challenge Tour" ], [ "9 Dec", "Argentine Open", "Marco Ruiz", "600,000", "Co-sanctioned by the TLA and Challenge Tour" ] ]
[ "Argentine Open" ]
which tournament is listed for this purse? || of these, which is the highest? | what are the purse rewards?
nt-3238
col : pos. | driver | co-driver | car | time | difference | points row 1 : 1. | sebastien loeb | daniel elena | citroen c4 wrc | 3:59:18.9 | 0.0 | 10 row 2 : 2. | dani sordo | marc marti | citroen c4 wrc | 3:59;36.4 | 17.5 | 8 row 3 : 3. | mikko hirvonen | jarmo lehtinen | ford focus rs wrc 08 | 4:00:00.4 | 41.5 | 6 row 4 : 4. | petter solberg | phil mills | subaru impreza wrc 2008 | 4:02:07.8 | 2:48.9 | 5 row 5 : 5. | urmo aava | kuldar sikk | citroen c4 wrc | 4:02:49.6 | 3:30.7 | 4 row 6 : 6. | pg andersson | jonas andersson | suzuki sx4 wrc | 4:06:56.3 | 7:37.4 | 3 row 7 : 7. | toni gardemeister | tomi tuominen | suzuki sx4 wrc | 4:07:13.8 | 7:54.9 | 2 row 8 : 8. | federico villagra | jorge perez companc | ford focus rs wrc 07 | 4:07:53.9 | 8:35.0 | 1 row 9 : 1. (10.) | martin prokop | jan tomanek | mitsubishi lancer evo ix | 4:13:07.9 | 0.0 | 10 row 10 : 2. (11.) | patrik sandell | emil axelsson | mitsubishi lancer evo ix | 4:13:44.1 | 36.2 | 8 row 11 : 3. (12.) | martin rauam | silver kutt | mitsubishi lancer evo ix | 4:14:05.7 | 57.8 | 6
table_csv/203_399.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 1, 2, 3, 4, 5, 6, 7, 9, 10 ] }
[ "which drivers scored less than 10 points?" ]
0
dani sordo, mikko hirvonen, petter solberg, urmo aava, pg andersson, toni gardemeister, federico villagra, patrik sandell, martin rauam
[ "Pos.", "Driver", "Co-driver", "Car", "Time", "Difference", "Points" ]
which drivers scored less than 10 points?
[ [ "1.", "Sebastien Loeb", "Daniel Elena", "Citroen C4 WRC", "3:59:18.9", "0.0", "10" ], [ "2.", "Dani Sordo", "Marc Marti", "Citroen C4 WRC", "3:59;36.4", "17.5", "8" ], [ "3.", "Mikko Hirvonen", "Jarmo Lehtinen", "Ford Focus RS WRC 08", "4:00:00.4", "41.5", "6" ], [ "4.", "Petter Solberg", "Phil Mills", "Subaru Impreza WRC 2008", "4:02:07.8", "2:48.9", "5" ], [ "5.", "Urmo Aava", "Kuldar Sikk", "Citroen C4 WRC", "4:02:49.6", "3:30.7", "4" ], [ "6.", "PG Andersson", "Jonas Andersson", "Suzuki SX4 WRC", "4:06:56.3", "7:37.4", "3" ], [ "7.", "Toni Gardemeister", "Tomi Tuominen", "Suzuki SX4 WRC", "4:07:13.8", "7:54.9", "2" ], [ "8.", "Federico Villagra", "Jorge Perez Companc", "Ford Focus RS WRC 07", "4:07:53.9", "8:35.0", "1" ], [ "1. (10.)", "Martin Prokop", "Jan Tomanek", "Mitsubishi Lancer Evo IX", "4:13:07.9", "0.0", "10" ], [ "2. (11.)", "Patrik Sandell", "Emil Axelsson", "Mitsubishi Lancer Evo IX", "4:13:44.1", "36.2", "8" ], [ "3. (12.)", "Martin Rauam", "Silver Kutt", "Mitsubishi Lancer Evo IX", "4:14:05.7", "57.8", "6" ] ]
[ "Dani Sordo", "Mikko Hirvonen", "Petter Solberg", "Urmo Aava", "PG Andersson", "Toni Gardemeister", "Federico Villagra", "Patrik Sandell", "Martin Rauam" ]
which drivers scored less than 10 points? ||
nt-3238
col : pos. | driver | co-driver | car | time | difference | points row 1 : 1. | sebastien loeb | daniel elena | citroen c4 wrc | 3:59:18.9 | 0.0 | 10 row 2 : 2. | dani sordo | marc marti | citroen c4 wrc | 3:59;36.4 | 17.5 | 8 row 3 : 3. | mikko hirvonen | jarmo lehtinen | ford focus rs wrc 08 | 4:00:00.4 | 41.5 | 6 row 4 : 4. | petter solberg | phil mills | subaru impreza wrc 2008 | 4:02:07.8 | 2:48.9 | 5 row 5 : 5. | urmo aava | kuldar sikk | citroen c4 wrc | 4:02:49.6 | 3:30.7 | 4 row 6 : 6. | pg andersson | jonas andersson | suzuki sx4 wrc | 4:06:56.3 | 7:37.4 | 3 row 7 : 7. | toni gardemeister | tomi tuominen | suzuki sx4 wrc | 4:07:13.8 | 7:54.9 | 2 row 8 : 8. | federico villagra | jorge perez companc | ford focus rs wrc 07 | 4:07:53.9 | 8:35.0 | 1 row 9 : 1. (10.) | martin prokop | jan tomanek | mitsubishi lancer evo ix | 4:13:07.9 | 0.0 | 10 row 10 : 2. (11.) | patrik sandell | emil axelsson | mitsubishi lancer evo ix | 4:13:44.1 | 36.2 | 8 row 11 : 3. (12.) | martin rauam | silver kutt | mitsubishi lancer evo ix | 4:14:05.7 | 57.8 | 6
table_csv/203_399.csv
1
{ "column_index": [ 1, 1 ], "row_index": [ 9, 10 ] }
[ "which drivers scored less than 10 points?", "which of these drivers drove a mitsubishi?" ]
0
patrik sandell, martin rauam
[ "Pos.", "Driver", "Co-driver", "Car", "Time", "Difference", "Points" ]
which of these drivers drove a mitsubishi?
[ [ "1.", "Sebastien Loeb", "Daniel Elena", "Citroen C4 WRC", "3:59:18.9", "0.0", "10" ], [ "2.", "Dani Sordo", "Marc Marti", "Citroen C4 WRC", "3:59;36.4", "17.5", "8" ], [ "3.", "Mikko Hirvonen", "Jarmo Lehtinen", "Ford Focus RS WRC 08", "4:00:00.4", "41.5", "6" ], [ "4.", "Petter Solberg", "Phil Mills", "Subaru Impreza WRC 2008", "4:02:07.8", "2:48.9", "5" ], [ "5.", "Urmo Aava", "Kuldar Sikk", "Citroen C4 WRC", "4:02:49.6", "3:30.7", "4" ], [ "6.", "PG Andersson", "Jonas Andersson", "Suzuki SX4 WRC", "4:06:56.3", "7:37.4", "3" ], [ "7.", "Toni Gardemeister", "Tomi Tuominen", "Suzuki SX4 WRC", "4:07:13.8", "7:54.9", "2" ], [ "8.", "Federico Villagra", "Jorge Perez Companc", "Ford Focus RS WRC 07", "4:07:53.9", "8:35.0", "1" ], [ "1. (10.)", "Martin Prokop", "Jan Tomanek", "Mitsubishi Lancer Evo IX", "4:13:07.9", "0.0", "10" ], [ "2. (11.)", "Patrik Sandell", "Emil Axelsson", "Mitsubishi Lancer Evo IX", "4:13:44.1", "36.2", "8" ], [ "3. (12.)", "Martin Rauam", "Silver Kutt", "Mitsubishi Lancer Evo IX", "4:14:05.7", "57.8", "6" ] ]
[ "Patrik Sandell", "Martin Rauam" ]
which of these drivers drove a mitsubishi? || which drivers scored less than 10 points?
nt-3238
col : pos. | driver | co-driver | car | time | difference | points row 1 : 1. | sebastien loeb | daniel elena | citroen c4 wrc | 3:59:18.9 | 0.0 | 10 row 2 : 2. | dani sordo | marc marti | citroen c4 wrc | 3:59;36.4 | 17.5 | 8 row 3 : 3. | mikko hirvonen | jarmo lehtinen | ford focus rs wrc 08 | 4:00:00.4 | 41.5 | 6 row 4 : 4. | petter solberg | phil mills | subaru impreza wrc 2008 | 4:02:07.8 | 2:48.9 | 5 row 5 : 5. | urmo aava | kuldar sikk | citroen c4 wrc | 4:02:49.6 | 3:30.7 | 4 row 6 : 6. | pg andersson | jonas andersson | suzuki sx4 wrc | 4:06:56.3 | 7:37.4 | 3 row 7 : 7. | toni gardemeister | tomi tuominen | suzuki sx4 wrc | 4:07:13.8 | 7:54.9 | 2 row 8 : 8. | federico villagra | jorge perez companc | ford focus rs wrc 07 | 4:07:53.9 | 8:35.0 | 1 row 9 : 1. (10.) | martin prokop | jan tomanek | mitsubishi lancer evo ix | 4:13:07.9 | 0.0 | 10 row 10 : 2. (11.) | patrik sandell | emil axelsson | mitsubishi lancer evo ix | 4:13:44.1 | 36.2 | 8 row 11 : 3. (12.) | martin rauam | silver kutt | mitsubishi lancer evo ix | 4:14:05.7 | 57.8 | 6
table_csv/203_399.csv
2
{ "column_index": [ 1 ], "row_index": [ 9 ] }
[ "which drivers scored less than 10 points?", "which of these drivers drove a mitsubishi?", "of the two left, which one scored 8 points?" ]
0
patrik sandell
[ "Pos.", "Driver", "Co-driver", "Car", "Time", "Difference", "Points" ]
of the two left, which one scored 8 points?
[ [ "1.", "Sebastien Loeb", "Daniel Elena", "Citroen C4 WRC", "3:59:18.9", "0.0", "10" ], [ "2.", "Dani Sordo", "Marc Marti", "Citroen C4 WRC", "3:59;36.4", "17.5", "8" ], [ "3.", "Mikko Hirvonen", "Jarmo Lehtinen", "Ford Focus RS WRC 08", "4:00:00.4", "41.5", "6" ], [ "4.", "Petter Solberg", "Phil Mills", "Subaru Impreza WRC 2008", "4:02:07.8", "2:48.9", "5" ], [ "5.", "Urmo Aava", "Kuldar Sikk", "Citroen C4 WRC", "4:02:49.6", "3:30.7", "4" ], [ "6.", "PG Andersson", "Jonas Andersson", "Suzuki SX4 WRC", "4:06:56.3", "7:37.4", "3" ], [ "7.", "Toni Gardemeister", "Tomi Tuominen", "Suzuki SX4 WRC", "4:07:13.8", "7:54.9", "2" ], [ "8.", "Federico Villagra", "Jorge Perez Companc", "Ford Focus RS WRC 07", "4:07:53.9", "8:35.0", "1" ], [ "1. (10.)", "Martin Prokop", "Jan Tomanek", "Mitsubishi Lancer Evo IX", "4:13:07.9", "0.0", "10" ], [ "2. (11.)", "Patrik Sandell", "Emil Axelsson", "Mitsubishi Lancer Evo IX", "4:13:44.1", "36.2", "8" ], [ "3. (12.)", "Martin Rauam", "Silver Kutt", "Mitsubishi Lancer Evo IX", "4:14:05.7", "57.8", "6" ] ]
[ "Patrik Sandell" ]
of the two left, which one scored 8 points? || which of these drivers drove a mitsubishi? | which drivers scored less than 10 points?
nt-3238
col : pos. | driver | co-driver | car | time | difference | points row 1 : 1. | sebastien loeb | daniel elena | citroen c4 wrc | 3:59:18.9 | 0.0 | 10 row 2 : 2. | dani sordo | marc marti | citroen c4 wrc | 3:59;36.4 | 17.5 | 8 row 3 : 3. | mikko hirvonen | jarmo lehtinen | ford focus rs wrc 08 | 4:00:00.4 | 41.5 | 6 row 4 : 4. | petter solberg | phil mills | subaru impreza wrc 2008 | 4:02:07.8 | 2:48.9 | 5 row 5 : 5. | urmo aava | kuldar sikk | citroen c4 wrc | 4:02:49.6 | 3:30.7 | 4 row 6 : 6. | pg andersson | jonas andersson | suzuki sx4 wrc | 4:06:56.3 | 7:37.4 | 3 row 7 : 7. | toni gardemeister | tomi tuominen | suzuki sx4 wrc | 4:07:13.8 | 7:54.9 | 2 row 8 : 8. | federico villagra | jorge perez companc | ford focus rs wrc 07 | 4:07:53.9 | 8:35.0 | 1 row 9 : 1. (10.) | martin prokop | jan tomanek | mitsubishi lancer evo ix | 4:13:07.9 | 0.0 | 10 row 10 : 2. (11.) | patrik sandell | emil axelsson | mitsubishi lancer evo ix | 4:13:44.1 | 36.2 | 8 row 11 : 3. (12.) | martin rauam | silver kutt | mitsubishi lancer evo ix | 4:14:05.7 | 57.8 | 6
table_csv/203_399.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 ] }
[ "who are all the drivers?" ]
1
sebastien loeb, dani sordo, mikko hirvonen, petter solberg, urmo aava, pg andersson, toni gardemeister, federico villagra, martin prokop, patrik sandell, martin rauam
[ "Pos.", "Driver", "Co-driver", "Car", "Time", "Difference", "Points" ]
who are all the drivers?
[ [ "1.", "Sebastien Loeb", "Daniel Elena", "Citroen C4 WRC", "3:59:18.9", "0.0", "10" ], [ "2.", "Dani Sordo", "Marc Marti", "Citroen C4 WRC", "3:59;36.4", "17.5", "8" ], [ "3.", "Mikko Hirvonen", "Jarmo Lehtinen", "Ford Focus RS WRC 08", "4:00:00.4", "41.5", "6" ], [ "4.", "Petter Solberg", "Phil Mills", "Subaru Impreza WRC 2008", "4:02:07.8", "2:48.9", "5" ], [ "5.", "Urmo Aava", "Kuldar Sikk", "Citroen C4 WRC", "4:02:49.6", "3:30.7", "4" ], [ "6.", "PG Andersson", "Jonas Andersson", "Suzuki SX4 WRC", "4:06:56.3", "7:37.4", "3" ], [ "7.", "Toni Gardemeister", "Tomi Tuominen", "Suzuki SX4 WRC", "4:07:13.8", "7:54.9", "2" ], [ "8.", "Federico Villagra", "Jorge Perez Companc", "Ford Focus RS WRC 07", "4:07:53.9", "8:35.0", "1" ], [ "1. (10.)", "Martin Prokop", "Jan Tomanek", "Mitsubishi Lancer Evo IX", "4:13:07.9", "0.0", "10" ], [ "2. (11.)", "Patrik Sandell", "Emil Axelsson", "Mitsubishi Lancer Evo IX", "4:13:44.1", "36.2", "8" ], [ "3. (12.)", "Martin Rauam", "Silver Kutt", "Mitsubishi Lancer Evo IX", "4:14:05.7", "57.8", "6" ] ]
[ "Sebastien Loeb", "Dani Sordo", "Mikko Hirvonen", "Petter Solberg", "Urmo Aava", "PG Andersson", "Toni Gardemeister", "Federico Villagra", "Martin Prokop", "Patrik Sandell", "Martin Rauam" ]
who are all the drivers? ||
nt-3238
col : pos. | driver | co-driver | car | time | difference | points row 1 : 1. | sebastien loeb | daniel elena | citroen c4 wrc | 3:59:18.9 | 0.0 | 10 row 2 : 2. | dani sordo | marc marti | citroen c4 wrc | 3:59;36.4 | 17.5 | 8 row 3 : 3. | mikko hirvonen | jarmo lehtinen | ford focus rs wrc 08 | 4:00:00.4 | 41.5 | 6 row 4 : 4. | petter solberg | phil mills | subaru impreza wrc 2008 | 4:02:07.8 | 2:48.9 | 5 row 5 : 5. | urmo aava | kuldar sikk | citroen c4 wrc | 4:02:49.6 | 3:30.7 | 4 row 6 : 6. | pg andersson | jonas andersson | suzuki sx4 wrc | 4:06:56.3 | 7:37.4 | 3 row 7 : 7. | toni gardemeister | tomi tuominen | suzuki sx4 wrc | 4:07:13.8 | 7:54.9 | 2 row 8 : 8. | federico villagra | jorge perez companc | ford focus rs wrc 07 | 4:07:53.9 | 8:35.0 | 1 row 9 : 1. (10.) | martin prokop | jan tomanek | mitsubishi lancer evo ix | 4:13:07.9 | 0.0 | 10 row 10 : 2. (11.) | patrik sandell | emil axelsson | mitsubishi lancer evo ix | 4:13:44.1 | 36.2 | 8 row 11 : 3. (12.) | martin rauam | silver kutt | mitsubishi lancer evo ix | 4:14:05.7 | 57.8 | 6
table_csv/203_399.csv
1
{ "column_index": [ 1, 1, 1 ], "row_index": [ 8, 9, 10 ] }
[ "who are all the drivers?", "which drivers drove a mitsubishi?" ]
1
martin prokop, patrik sandell, martin rauam
[ "Pos.", "Driver", "Co-driver", "Car", "Time", "Difference", "Points" ]
which drivers drove a mitsubishi?
[ [ "1.", "Sebastien Loeb", "Daniel Elena", "Citroen C4 WRC", "3:59:18.9", "0.0", "10" ], [ "2.", "Dani Sordo", "Marc Marti", "Citroen C4 WRC", "3:59;36.4", "17.5", "8" ], [ "3.", "Mikko Hirvonen", "Jarmo Lehtinen", "Ford Focus RS WRC 08", "4:00:00.4", "41.5", "6" ], [ "4.", "Petter Solberg", "Phil Mills", "Subaru Impreza WRC 2008", "4:02:07.8", "2:48.9", "5" ], [ "5.", "Urmo Aava", "Kuldar Sikk", "Citroen C4 WRC", "4:02:49.6", "3:30.7", "4" ], [ "6.", "PG Andersson", "Jonas Andersson", "Suzuki SX4 WRC", "4:06:56.3", "7:37.4", "3" ], [ "7.", "Toni Gardemeister", "Tomi Tuominen", "Suzuki SX4 WRC", "4:07:13.8", "7:54.9", "2" ], [ "8.", "Federico Villagra", "Jorge Perez Companc", "Ford Focus RS WRC 07", "4:07:53.9", "8:35.0", "1" ], [ "1. (10.)", "Martin Prokop", "Jan Tomanek", "Mitsubishi Lancer Evo IX", "4:13:07.9", "0.0", "10" ], [ "2. (11.)", "Patrik Sandell", "Emil Axelsson", "Mitsubishi Lancer Evo IX", "4:13:44.1", "36.2", "8" ], [ "3. (12.)", "Martin Rauam", "Silver Kutt", "Mitsubishi Lancer Evo IX", "4:14:05.7", "57.8", "6" ] ]
[ "Martin Prokop", "Patrik Sandell", "Martin Rauam" ]
which drivers drove a mitsubishi? || who are all the drivers?
nt-3238
col : pos. | driver | co-driver | car | time | difference | points row 1 : 1. | sebastien loeb | daniel elena | citroen c4 wrc | 3:59:18.9 | 0.0 | 10 row 2 : 2. | dani sordo | marc marti | citroen c4 wrc | 3:59;36.4 | 17.5 | 8 row 3 : 3. | mikko hirvonen | jarmo lehtinen | ford focus rs wrc 08 | 4:00:00.4 | 41.5 | 6 row 4 : 4. | petter solberg | phil mills | subaru impreza wrc 2008 | 4:02:07.8 | 2:48.9 | 5 row 5 : 5. | urmo aava | kuldar sikk | citroen c4 wrc | 4:02:49.6 | 3:30.7 | 4 row 6 : 6. | pg andersson | jonas andersson | suzuki sx4 wrc | 4:06:56.3 | 7:37.4 | 3 row 7 : 7. | toni gardemeister | tomi tuominen | suzuki sx4 wrc | 4:07:13.8 | 7:54.9 | 2 row 8 : 8. | federico villagra | jorge perez companc | ford focus rs wrc 07 | 4:07:53.9 | 8:35.0 | 1 row 9 : 1. (10.) | martin prokop | jan tomanek | mitsubishi lancer evo ix | 4:13:07.9 | 0.0 | 10 row 10 : 2. (11.) | patrik sandell | emil axelsson | mitsubishi lancer evo ix | 4:13:44.1 | 36.2 | 8 row 11 : 3. (12.) | martin rauam | silver kutt | mitsubishi lancer evo ix | 4:14:05.7 | 57.8 | 6
table_csv/203_399.csv
2
{ "column_index": [ 1 ], "row_index": [ 9 ] }
[ "who are all the drivers?", "which drivers drove a mitsubishi?", "which of these scored 8 points?" ]
1
patrik sandell
[ "Pos.", "Driver", "Co-driver", "Car", "Time", "Difference", "Points" ]
which of these scored 8 points?
[ [ "1.", "Sebastien Loeb", "Daniel Elena", "Citroen C4 WRC", "3:59:18.9", "0.0", "10" ], [ "2.", "Dani Sordo", "Marc Marti", "Citroen C4 WRC", "3:59;36.4", "17.5", "8" ], [ "3.", "Mikko Hirvonen", "Jarmo Lehtinen", "Ford Focus RS WRC 08", "4:00:00.4", "41.5", "6" ], [ "4.", "Petter Solberg", "Phil Mills", "Subaru Impreza WRC 2008", "4:02:07.8", "2:48.9", "5" ], [ "5.", "Urmo Aava", "Kuldar Sikk", "Citroen C4 WRC", "4:02:49.6", "3:30.7", "4" ], [ "6.", "PG Andersson", "Jonas Andersson", "Suzuki SX4 WRC", "4:06:56.3", "7:37.4", "3" ], [ "7.", "Toni Gardemeister", "Tomi Tuominen", "Suzuki SX4 WRC", "4:07:13.8", "7:54.9", "2" ], [ "8.", "Federico Villagra", "Jorge Perez Companc", "Ford Focus RS WRC 07", "4:07:53.9", "8:35.0", "1" ], [ "1. (10.)", "Martin Prokop", "Jan Tomanek", "Mitsubishi Lancer Evo IX", "4:13:07.9", "0.0", "10" ], [ "2. (11.)", "Patrik Sandell", "Emil Axelsson", "Mitsubishi Lancer Evo IX", "4:13:44.1", "36.2", "8" ], [ "3. (12.)", "Martin Rauam", "Silver Kutt", "Mitsubishi Lancer Evo IX", "4:14:05.7", "57.8", "6" ] ]
[ "Patrik Sandell" ]
which of these scored 8 points? || which drivers drove a mitsubishi? | who are all the drivers?
nt-3238
col : pos. | driver | co-driver | car | time | difference | points row 1 : 1. | sebastien loeb | daniel elena | citroen c4 wrc | 3:59:18.9 | 0.0 | 10 row 2 : 2. | dani sordo | marc marti | citroen c4 wrc | 3:59;36.4 | 17.5 | 8 row 3 : 3. | mikko hirvonen | jarmo lehtinen | ford focus rs wrc 08 | 4:00:00.4 | 41.5 | 6 row 4 : 4. | petter solberg | phil mills | subaru impreza wrc 2008 | 4:02:07.8 | 2:48.9 | 5 row 5 : 5. | urmo aava | kuldar sikk | citroen c4 wrc | 4:02:49.6 | 3:30.7 | 4 row 6 : 6. | pg andersson | jonas andersson | suzuki sx4 wrc | 4:06:56.3 | 7:37.4 | 3 row 7 : 7. | toni gardemeister | tomi tuominen | suzuki sx4 wrc | 4:07:13.8 | 7:54.9 | 2 row 8 : 8. | federico villagra | jorge perez companc | ford focus rs wrc 07 | 4:07:53.9 | 8:35.0 | 1 row 9 : 1. (10.) | martin prokop | jan tomanek | mitsubishi lancer evo ix | 4:13:07.9 | 0.0 | 10 row 10 : 2. (11.) | patrik sandell | emil axelsson | mitsubishi lancer evo ix | 4:13:44.1 | 36.2 | 8 row 11 : 3. (12.) | martin rauam | silver kutt | mitsubishi lancer evo ix | 4:14:05.7 | 57.8 | 6
table_csv/203_399.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 ] }
[ "what are the names of all the drivers at the 2008 rally new zealand?" ]
2
sebastien loeb, dani sordo, mikko hirvonen, petter solberg, urmo aava, pg andersson, toni gardemeister, federico villagra, martin prokop, patrik sandell, martin rauam
[ "Pos.", "Driver", "Co-driver", "Car", "Time", "Difference", "Points" ]
what are the names of all the drivers at the 2008 rally new zealand?
[ [ "1.", "Sebastien Loeb", "Daniel Elena", "Citroen C4 WRC", "3:59:18.9", "0.0", "10" ], [ "2.", "Dani Sordo", "Marc Marti", "Citroen C4 WRC", "3:59;36.4", "17.5", "8" ], [ "3.", "Mikko Hirvonen", "Jarmo Lehtinen", "Ford Focus RS WRC 08", "4:00:00.4", "41.5", "6" ], [ "4.", "Petter Solberg", "Phil Mills", "Subaru Impreza WRC 2008", "4:02:07.8", "2:48.9", "5" ], [ "5.", "Urmo Aava", "Kuldar Sikk", "Citroen C4 WRC", "4:02:49.6", "3:30.7", "4" ], [ "6.", "PG Andersson", "Jonas Andersson", "Suzuki SX4 WRC", "4:06:56.3", "7:37.4", "3" ], [ "7.", "Toni Gardemeister", "Tomi Tuominen", "Suzuki SX4 WRC", "4:07:13.8", "7:54.9", "2" ], [ "8.", "Federico Villagra", "Jorge Perez Companc", "Ford Focus RS WRC 07", "4:07:53.9", "8:35.0", "1" ], [ "1. (10.)", "Martin Prokop", "Jan Tomanek", "Mitsubishi Lancer Evo IX", "4:13:07.9", "0.0", "10" ], [ "2. (11.)", "Patrik Sandell", "Emil Axelsson", "Mitsubishi Lancer Evo IX", "4:13:44.1", "36.2", "8" ], [ "3. (12.)", "Martin Rauam", "Silver Kutt", "Mitsubishi Lancer Evo IX", "4:14:05.7", "57.8", "6" ] ]
[ "Sebastien Loeb", "Dani Sordo", "Mikko Hirvonen", "Petter Solberg", "Urmo Aava", "PG Andersson", "Toni Gardemeister", "Federico Villagra", "Martin Prokop", "Patrik Sandell", "Martin Rauam" ]
what are the names of all the drivers at the 2008 rally new zealand? ||
nt-3238
col : pos. | driver | co-driver | car | time | difference | points row 1 : 1. | sebastien loeb | daniel elena | citroen c4 wrc | 3:59:18.9 | 0.0 | 10 row 2 : 2. | dani sordo | marc marti | citroen c4 wrc | 3:59;36.4 | 17.5 | 8 row 3 : 3. | mikko hirvonen | jarmo lehtinen | ford focus rs wrc 08 | 4:00:00.4 | 41.5 | 6 row 4 : 4. | petter solberg | phil mills | subaru impreza wrc 2008 | 4:02:07.8 | 2:48.9 | 5 row 5 : 5. | urmo aava | kuldar sikk | citroen c4 wrc | 4:02:49.6 | 3:30.7 | 4 row 6 : 6. | pg andersson | jonas andersson | suzuki sx4 wrc | 4:06:56.3 | 7:37.4 | 3 row 7 : 7. | toni gardemeister | tomi tuominen | suzuki sx4 wrc | 4:07:13.8 | 7:54.9 | 2 row 8 : 8. | federico villagra | jorge perez companc | ford focus rs wrc 07 | 4:07:53.9 | 8:35.0 | 1 row 9 : 1. (10.) | martin prokop | jan tomanek | mitsubishi lancer evo ix | 4:13:07.9 | 0.0 | 10 row 10 : 2. (11.) | patrik sandell | emil axelsson | mitsubishi lancer evo ix | 4:13:44.1 | 36.2 | 8 row 11 : 3. (12.) | martin rauam | silver kutt | mitsubishi lancer evo ix | 4:14:05.7 | 57.8 | 6
table_csv/203_399.csv
1
{ "column_index": [ 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 ] }
[ "what are the names of all the drivers at the 2008 rally new zealand?", "how many points did each driver score?" ]
2
10, 8, 6, 5, 4, 3, 2, 1, 10, 8, 6
[ "Pos.", "Driver", "Co-driver", "Car", "Time", "Difference", "Points" ]
how many points did each driver score?
[ [ "1.", "Sebastien Loeb", "Daniel Elena", "Citroen C4 WRC", "3:59:18.9", "0.0", "10" ], [ "2.", "Dani Sordo", "Marc Marti", "Citroen C4 WRC", "3:59;36.4", "17.5", "8" ], [ "3.", "Mikko Hirvonen", "Jarmo Lehtinen", "Ford Focus RS WRC 08", "4:00:00.4", "41.5", "6" ], [ "4.", "Petter Solberg", "Phil Mills", "Subaru Impreza WRC 2008", "4:02:07.8", "2:48.9", "5" ], [ "5.", "Urmo Aava", "Kuldar Sikk", "Citroen C4 WRC", "4:02:49.6", "3:30.7", "4" ], [ "6.", "PG Andersson", "Jonas Andersson", "Suzuki SX4 WRC", "4:06:56.3", "7:37.4", "3" ], [ "7.", "Toni Gardemeister", "Tomi Tuominen", "Suzuki SX4 WRC", "4:07:13.8", "7:54.9", "2" ], [ "8.", "Federico Villagra", "Jorge Perez Companc", "Ford Focus RS WRC 07", "4:07:53.9", "8:35.0", "1" ], [ "1. (10.)", "Martin Prokop", "Jan Tomanek", "Mitsubishi Lancer Evo IX", "4:13:07.9", "0.0", "10" ], [ "2. (11.)", "Patrik Sandell", "Emil Axelsson", "Mitsubishi Lancer Evo IX", "4:13:44.1", "36.2", "8" ], [ "3. (12.)", "Martin Rauam", "Silver Kutt", "Mitsubishi Lancer Evo IX", "4:14:05.7", "57.8", "6" ] ]
[ "10", "8", "6", "5", "4", "3", "2", "1", "10", "8", "6" ]
how many points did each driver score? || what are the names of all the drivers at the 2008 rally new zealand?
nt-3238
col : pos. | driver | co-driver | car | time | difference | points row 1 : 1. | sebastien loeb | daniel elena | citroen c4 wrc | 3:59:18.9 | 0.0 | 10 row 2 : 2. | dani sordo | marc marti | citroen c4 wrc | 3:59;36.4 | 17.5 | 8 row 3 : 3. | mikko hirvonen | jarmo lehtinen | ford focus rs wrc 08 | 4:00:00.4 | 41.5 | 6 row 4 : 4. | petter solberg | phil mills | subaru impreza wrc 2008 | 4:02:07.8 | 2:48.9 | 5 row 5 : 5. | urmo aava | kuldar sikk | citroen c4 wrc | 4:02:49.6 | 3:30.7 | 4 row 6 : 6. | pg andersson | jonas andersson | suzuki sx4 wrc | 4:06:56.3 | 7:37.4 | 3 row 7 : 7. | toni gardemeister | tomi tuominen | suzuki sx4 wrc | 4:07:13.8 | 7:54.9 | 2 row 8 : 8. | federico villagra | jorge perez companc | ford focus rs wrc 07 | 4:07:53.9 | 8:35.0 | 1 row 9 : 1. (10.) | martin prokop | jan tomanek | mitsubishi lancer evo ix | 4:13:07.9 | 0.0 | 10 row 10 : 2. (11.) | patrik sandell | emil axelsson | mitsubishi lancer evo ix | 4:13:44.1 | 36.2 | 8 row 11 : 3. (12.) | martin rauam | silver kutt | mitsubishi lancer evo ix | 4:14:05.7 | 57.8 | 6
table_csv/203_399.csv
2
{ "column_index": [ 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 ] }
[ "what are the names of all the drivers at the 2008 rally new zealand?", "how many points did each driver score?", "and what car did they drive?" ]
2
citroen c4 wrc, citroen c4 wrc, ford focus rs wrc 08, subaru impreza wrc 2008, citroen c4 wrc, suzuki sx4 wrc, suzuki sx4 wrc, ford focus rs wrc 07, mitsubishi lancer evo ix, mitsubishi lancer evo ix, mitsubishi lancer evo ix
[ "Pos.", "Driver", "Co-driver", "Car", "Time", "Difference", "Points" ]
and what car did they drive?
[ [ "1.", "Sebastien Loeb", "Daniel Elena", "Citroen C4 WRC", "3:59:18.9", "0.0", "10" ], [ "2.", "Dani Sordo", "Marc Marti", "Citroen C4 WRC", "3:59;36.4", "17.5", "8" ], [ "3.", "Mikko Hirvonen", "Jarmo Lehtinen", "Ford Focus RS WRC 08", "4:00:00.4", "41.5", "6" ], [ "4.", "Petter Solberg", "Phil Mills", "Subaru Impreza WRC 2008", "4:02:07.8", "2:48.9", "5" ], [ "5.", "Urmo Aava", "Kuldar Sikk", "Citroen C4 WRC", "4:02:49.6", "3:30.7", "4" ], [ "6.", "PG Andersson", "Jonas Andersson", "Suzuki SX4 WRC", "4:06:56.3", "7:37.4", "3" ], [ "7.", "Toni Gardemeister", "Tomi Tuominen", "Suzuki SX4 WRC", "4:07:13.8", "7:54.9", "2" ], [ "8.", "Federico Villagra", "Jorge Perez Companc", "Ford Focus RS WRC 07", "4:07:53.9", "8:35.0", "1" ], [ "1. (10.)", "Martin Prokop", "Jan Tomanek", "Mitsubishi Lancer Evo IX", "4:13:07.9", "0.0", "10" ], [ "2. (11.)", "Patrik Sandell", "Emil Axelsson", "Mitsubishi Lancer Evo IX", "4:13:44.1", "36.2", "8" ], [ "3. (12.)", "Martin Rauam", "Silver Kutt", "Mitsubishi Lancer Evo IX", "4:14:05.7", "57.8", "6" ] ]
[ "Citroen C4 WRC", "Citroen C4 WRC", "Ford Focus RS WRC 08", "Subaru Impreza WRC 2008", "Citroen C4 WRC", "Suzuki SX4 WRC", "Suzuki SX4 WRC", "Ford Focus RS WRC 07", "Mitsubishi Lancer Evo IX", "Mitsubishi Lancer Evo IX", "Mitsubishi Lancer Evo IX" ]
and what car did they drive? || how many points did each driver score? | what are the names of all the drivers at the 2008 rally new zealand?
nt-3238
col : pos. | driver | co-driver | car | time | difference | points row 1 : 1. | sebastien loeb | daniel elena | citroen c4 wrc | 3:59:18.9 | 0.0 | 10 row 2 : 2. | dani sordo | marc marti | citroen c4 wrc | 3:59;36.4 | 17.5 | 8 row 3 : 3. | mikko hirvonen | jarmo lehtinen | ford focus rs wrc 08 | 4:00:00.4 | 41.5 | 6 row 4 : 4. | petter solberg | phil mills | subaru impreza wrc 2008 | 4:02:07.8 | 2:48.9 | 5 row 5 : 5. | urmo aava | kuldar sikk | citroen c4 wrc | 4:02:49.6 | 3:30.7 | 4 row 6 : 6. | pg andersson | jonas andersson | suzuki sx4 wrc | 4:06:56.3 | 7:37.4 | 3 row 7 : 7. | toni gardemeister | tomi tuominen | suzuki sx4 wrc | 4:07:13.8 | 7:54.9 | 2 row 8 : 8. | federico villagra | jorge perez companc | ford focus rs wrc 07 | 4:07:53.9 | 8:35.0 | 1 row 9 : 1. (10.) | martin prokop | jan tomanek | mitsubishi lancer evo ix | 4:13:07.9 | 0.0 | 10 row 10 : 2. (11.) | patrik sandell | emil axelsson | mitsubishi lancer evo ix | 4:13:44.1 | 36.2 | 8 row 11 : 3. (12.) | martin rauam | silver kutt | mitsubishi lancer evo ix | 4:14:05.7 | 57.8 | 6
table_csv/203_399.csv
3
{ "column_index": [ 1 ], "row_index": [ 9 ] }
[ "what are the names of all the drivers at the 2008 rally new zealand?", "how many points did each driver score?", "and what car did they drive?", "who scored 8 points whilst driving a mitsubishi car?" ]
2
patrik sandell
[ "Pos.", "Driver", "Co-driver", "Car", "Time", "Difference", "Points" ]
who scored 8 points whilst driving a mitsubishi car?
[ [ "1.", "Sebastien Loeb", "Daniel Elena", "Citroen C4 WRC", "3:59:18.9", "0.0", "10" ], [ "2.", "Dani Sordo", "Marc Marti", "Citroen C4 WRC", "3:59;36.4", "17.5", "8" ], [ "3.", "Mikko Hirvonen", "Jarmo Lehtinen", "Ford Focus RS WRC 08", "4:00:00.4", "41.5", "6" ], [ "4.", "Petter Solberg", "Phil Mills", "Subaru Impreza WRC 2008", "4:02:07.8", "2:48.9", "5" ], [ "5.", "Urmo Aava", "Kuldar Sikk", "Citroen C4 WRC", "4:02:49.6", "3:30.7", "4" ], [ "6.", "PG Andersson", "Jonas Andersson", "Suzuki SX4 WRC", "4:06:56.3", "7:37.4", "3" ], [ "7.", "Toni Gardemeister", "Tomi Tuominen", "Suzuki SX4 WRC", "4:07:13.8", "7:54.9", "2" ], [ "8.", "Federico Villagra", "Jorge Perez Companc", "Ford Focus RS WRC 07", "4:07:53.9", "8:35.0", "1" ], [ "1. (10.)", "Martin Prokop", "Jan Tomanek", "Mitsubishi Lancer Evo IX", "4:13:07.9", "0.0", "10" ], [ "2. (11.)", "Patrik Sandell", "Emil Axelsson", "Mitsubishi Lancer Evo IX", "4:13:44.1", "36.2", "8" ], [ "3. (12.)", "Martin Rauam", "Silver Kutt", "Mitsubishi Lancer Evo IX", "4:14:05.7", "57.8", "6" ] ]
[ "Patrik Sandell" ]
who scored 8 points whilst driving a mitsubishi car? || and what car did they drive? | how many points did each driver score? | what are the names of all the drivers at the 2008 rally new zealand?
nt-8087
col : # | name | alma mater | birth date | marriage date | president | tenure | tenure.1 row 1 : 1 | jiang qing | shandong provincial experimental theatre | 19 march 1914 | 20 november 1938 | mao zedong | 27 april 1959 | 27 april 1959 row 2 : 2 | wang guangmei | fu jen catholic university | 26 september 1921 | 21 august 1948 | liu shaoqi | 21 october 1968 | 21 october 1968 row 3 : 3 | he lianying | nan | nan | nan | dong biwu | 17 january 1975 | 17 january 1975 row 4 : 4 | lin jiamei | tong de medical college | 1924 | nan | li xiannian | 8 april 1988 | 8 april 1988 row 5 : 5 | wang yeping | shanghai foreign language institute | february 1928 | december 1949 | jiang zemin | 15 march 2003 | 15 march 2003 row 6 : 6 | liu yongqing | tsinghua university | 1940 | february 1970 | hu jintao | 14 march 2013 | 14 march 2013 row 7 : 7 | peng liyuan | china conservatory of music | 20 november 1962 | 1 september 1987 | xi jinping | incumbent | incumbent
table_csv/204_873.csv
0
{ "column_index": [ 1 ], "row_index": [ 0 ] }
[ "whose spouse was mao zedong?" ]
0
jiang qing
[ "#", "Name", "Alma mater", "Birth date", "Marriage date", "President", "Tenure", "Tenure.1" ]
whose spouse was mao zedong?
[ [ "1", "Jiang Qing", "Shandong Provincial Experimental Theatre", "19 March 1914", "20 November 1938", "Mao Zedong", "27 April 1959", "27 April 1959" ], [ "2", "Wang Guangmei", "Fu Jen Catholic University", "26 September 1921", "21 August 1948", "Liu Shaoqi", "21 October 1968", "21 October 1968" ], [ "3", "He Lianying", "nan", "nan", "nan", "Dong Biwu", "17 January 1975", "17 January 1975" ], [ "4", "Lin Jiamei", "Tong De Medical College", "1924", "nan", "Li Xiannian", "8 April 1988", "8 April 1988" ], [ "5", "Wang Yeping", "Shanghai Foreign Language Institute", "February 1928", "December 1949", "Jiang Zemin", "15 March 2003", "15 March 2003" ], [ "6", "Liu Yongqing", "Tsinghua University", "1940", "February 1970", "Hu Jintao", "14 March 2013", "14 March 2013" ], [ "7", "Peng Liyuan", "China Conservatory of Music", "20 November 1962", "1 September 1987", "Xi Jinping", "Incumbent", "Incumbent" ] ]
[ "Jiang Qing" ]
whose spouse was mao zedong? ||
nt-8087
col : # | name | alma mater | birth date | marriage date | president | tenure | tenure.1 row 1 : 1 | jiang qing | shandong provincial experimental theatre | 19 march 1914 | 20 november 1938 | mao zedong | 27 april 1959 | 27 april 1959 row 2 : 2 | wang guangmei | fu jen catholic university | 26 september 1921 | 21 august 1948 | liu shaoqi | 21 october 1968 | 21 october 1968 row 3 : 3 | he lianying | nan | nan | nan | dong biwu | 17 january 1975 | 17 january 1975 row 4 : 4 | lin jiamei | tong de medical college | 1924 | nan | li xiannian | 8 april 1988 | 8 april 1988 row 5 : 5 | wang yeping | shanghai foreign language institute | february 1928 | december 1949 | jiang zemin | 15 march 2003 | 15 march 2003 row 6 : 6 | liu yongqing | tsinghua university | 1940 | february 1970 | hu jintao | 14 march 2013 | 14 march 2013 row 7 : 7 | peng liyuan | china conservatory of music | 20 november 1962 | 1 september 1987 | xi jinping | incumbent | incumbent
table_csv/204_873.csv
1
{ "column_index": [ 1 ], "row_index": [ 1 ] }
[ "whose spouse was mao zedong?", "whose spouse was liu shaoqi?" ]
0
wang guangmei
[ "#", "Name", "Alma mater", "Birth date", "Marriage date", "President", "Tenure", "Tenure.1" ]
whose spouse was liu shaoqi?
[ [ "1", "Jiang Qing", "Shandong Provincial Experimental Theatre", "19 March 1914", "20 November 1938", "Mao Zedong", "27 April 1959", "27 April 1959" ], [ "2", "Wang Guangmei", "Fu Jen Catholic University", "26 September 1921", "21 August 1948", "Liu Shaoqi", "21 October 1968", "21 October 1968" ], [ "3", "He Lianying", "nan", "nan", "nan", "Dong Biwu", "17 January 1975", "17 January 1975" ], [ "4", "Lin Jiamei", "Tong De Medical College", "1924", "nan", "Li Xiannian", "8 April 1988", "8 April 1988" ], [ "5", "Wang Yeping", "Shanghai Foreign Language Institute", "February 1928", "December 1949", "Jiang Zemin", "15 March 2003", "15 March 2003" ], [ "6", "Liu Yongqing", "Tsinghua University", "1940", "February 1970", "Hu Jintao", "14 March 2013", "14 March 2013" ], [ "7", "Peng Liyuan", "China Conservatory of Music", "20 November 1962", "1 September 1987", "Xi Jinping", "Incumbent", "Incumbent" ] ]
[ "Wang Guangmei" ]
whose spouse was liu shaoqi? || whose spouse was mao zedong?
nt-8087
col : # | name | alma mater | birth date | marriage date | president | tenure | tenure.1 row 1 : 1 | jiang qing | shandong provincial experimental theatre | 19 march 1914 | 20 november 1938 | mao zedong | 27 april 1959 | 27 april 1959 row 2 : 2 | wang guangmei | fu jen catholic university | 26 september 1921 | 21 august 1948 | liu shaoqi | 21 october 1968 | 21 october 1968 row 3 : 3 | he lianying | nan | nan | nan | dong biwu | 17 january 1975 | 17 january 1975 row 4 : 4 | lin jiamei | tong de medical college | 1924 | nan | li xiannian | 8 april 1988 | 8 april 1988 row 5 : 5 | wang yeping | shanghai foreign language institute | february 1928 | december 1949 | jiang zemin | 15 march 2003 | 15 march 2003 row 6 : 6 | liu yongqing | tsinghua university | 1940 | february 1970 | hu jintao | 14 march 2013 | 14 march 2013 row 7 : 7 | peng liyuan | china conservatory of music | 20 november 1962 | 1 september 1987 | xi jinping | incumbent | incumbent
table_csv/204_873.csv
2
{ "column_index": [ 1 ], "row_index": [ 5 ] }
[ "whose spouse was mao zedong?", "whose spouse was liu shaoqi?", "whose spouse was hu jintao's?" ]
0
liu yongqing
[ "#", "Name", "Alma mater", "Birth date", "Marriage date", "President", "Tenure", "Tenure.1" ]
whose spouse was hu jintao's?
[ [ "1", "Jiang Qing", "Shandong Provincial Experimental Theatre", "19 March 1914", "20 November 1938", "Mao Zedong", "27 April 1959", "27 April 1959" ], [ "2", "Wang Guangmei", "Fu Jen Catholic University", "26 September 1921", "21 August 1948", "Liu Shaoqi", "21 October 1968", "21 October 1968" ], [ "3", "He Lianying", "nan", "nan", "nan", "Dong Biwu", "17 January 1975", "17 January 1975" ], [ "4", "Lin Jiamei", "Tong De Medical College", "1924", "nan", "Li Xiannian", "8 April 1988", "8 April 1988" ], [ "5", "Wang Yeping", "Shanghai Foreign Language Institute", "February 1928", "December 1949", "Jiang Zemin", "15 March 2003", "15 March 2003" ], [ "6", "Liu Yongqing", "Tsinghua University", "1940", "February 1970", "Hu Jintao", "14 March 2013", "14 March 2013" ], [ "7", "Peng Liyuan", "China Conservatory of Music", "20 November 1962", "1 September 1987", "Xi Jinping", "Incumbent", "Incumbent" ] ]
[ "Liu Yongqing" ]
whose spouse was hu jintao's? || whose spouse was liu shaoqi? | whose spouse was mao zedong?
nt-8087
col : # | name | alma mater | birth date | marriage date | president | tenure | tenure.1 row 1 : 1 | jiang qing | shandong provincial experimental theatre | 19 march 1914 | 20 november 1938 | mao zedong | 27 april 1959 | 27 april 1959 row 2 : 2 | wang guangmei | fu jen catholic university | 26 september 1921 | 21 august 1948 | liu shaoqi | 21 october 1968 | 21 october 1968 row 3 : 3 | he lianying | nan | nan | nan | dong biwu | 17 january 1975 | 17 january 1975 row 4 : 4 | lin jiamei | tong de medical college | 1924 | nan | li xiannian | 8 april 1988 | 8 april 1988 row 5 : 5 | wang yeping | shanghai foreign language institute | february 1928 | december 1949 | jiang zemin | 15 march 2003 | 15 march 2003 row 6 : 6 | liu yongqing | tsinghua university | 1940 | february 1970 | hu jintao | 14 march 2013 | 14 march 2013 row 7 : 7 | peng liyuan | china conservatory of music | 20 november 1962 | 1 september 1987 | xi jinping | incumbent | incumbent
table_csv/204_873.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6 ] }
[ "who are all of the spouses?" ]
1
jiang qing, wang guangmei, he lianying, lin jiamei, wang yeping, liu yongqing, peng liyuan
[ "#", "Name", "Alma mater", "Birth date", "Marriage date", "President", "Tenure", "Tenure.1" ]
who are all of the spouses?
[ [ "1", "Jiang Qing", "Shandong Provincial Experimental Theatre", "19 March 1914", "20 November 1938", "Mao Zedong", "27 April 1959", "27 April 1959" ], [ "2", "Wang Guangmei", "Fu Jen Catholic University", "26 September 1921", "21 August 1948", "Liu Shaoqi", "21 October 1968", "21 October 1968" ], [ "3", "He Lianying", "nan", "nan", "nan", "Dong Biwu", "17 January 1975", "17 January 1975" ], [ "4", "Lin Jiamei", "Tong De Medical College", "1924", "nan", "Li Xiannian", "8 April 1988", "8 April 1988" ], [ "5", "Wang Yeping", "Shanghai Foreign Language Institute", "February 1928", "December 1949", "Jiang Zemin", "15 March 2003", "15 March 2003" ], [ "6", "Liu Yongqing", "Tsinghua University", "1940", "February 1970", "Hu Jintao", "14 March 2013", "14 March 2013" ], [ "7", "Peng Liyuan", "China Conservatory of Music", "20 November 1962", "1 September 1987", "Xi Jinping", "Incumbent", "Incumbent" ] ]
[ "Jiang Qing", "Wang Guangmei", "He Lianying", "Lin Jiamei", "Wang Yeping", "Liu Yongqing", "Peng Liyuan" ]
who are all of the spouses? ||
nt-8087
col : # | name | alma mater | birth date | marriage date | president | tenure | tenure.1 row 1 : 1 | jiang qing | shandong provincial experimental theatre | 19 march 1914 | 20 november 1938 | mao zedong | 27 april 1959 | 27 april 1959 row 2 : 2 | wang guangmei | fu jen catholic university | 26 september 1921 | 21 august 1948 | liu shaoqi | 21 october 1968 | 21 october 1968 row 3 : 3 | he lianying | nan | nan | nan | dong biwu | 17 january 1975 | 17 january 1975 row 4 : 4 | lin jiamei | tong de medical college | 1924 | nan | li xiannian | 8 april 1988 | 8 april 1988 row 5 : 5 | wang yeping | shanghai foreign language institute | february 1928 | december 1949 | jiang zemin | 15 march 2003 | 15 march 2003 row 6 : 6 | liu yongqing | tsinghua university | 1940 | february 1970 | hu jintao | 14 march 2013 | 14 march 2013 row 7 : 7 | peng liyuan | china conservatory of music | 20 november 1962 | 1 september 1987 | xi jinping | incumbent | incumbent
table_csv/204_873.csv
1
{ "column_index": [ 5, 5, 5, 5, 5, 5, 5 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6 ] }
[ "who are all of the spouses?", "who was each spouse married to?" ]
1
mao zedong, liu shaoqi, dong biwu, li xiannian, jiang zemin, hu jintao, xi jinping
[ "#", "Name", "Alma mater", "Birth date", "Marriage date", "President", "Tenure", "Tenure.1" ]
who was each spouse married to?
[ [ "1", "Jiang Qing", "Shandong Provincial Experimental Theatre", "19 March 1914", "20 November 1938", "Mao Zedong", "27 April 1959", "27 April 1959" ], [ "2", "Wang Guangmei", "Fu Jen Catholic University", "26 September 1921", "21 August 1948", "Liu Shaoqi", "21 October 1968", "21 October 1968" ], [ "3", "He Lianying", "nan", "nan", "nan", "Dong Biwu", "17 January 1975", "17 January 1975" ], [ "4", "Lin Jiamei", "Tong De Medical College", "1924", "nan", "Li Xiannian", "8 April 1988", "8 April 1988" ], [ "5", "Wang Yeping", "Shanghai Foreign Language Institute", "February 1928", "December 1949", "Jiang Zemin", "15 March 2003", "15 March 2003" ], [ "6", "Liu Yongqing", "Tsinghua University", "1940", "February 1970", "Hu Jintao", "14 March 2013", "14 March 2013" ], [ "7", "Peng Liyuan", "China Conservatory of Music", "20 November 1962", "1 September 1987", "Xi Jinping", "Incumbent", "Incumbent" ] ]
[ "Mao Zedong", "Liu Shaoqi", "Dong Biwu", "Li Xiannian", "Jiang Zemin", "Hu Jintao", "Xi Jinping" ]
who was each spouse married to? || who are all of the spouses?
nt-8087
col : # | name | alma mater | birth date | marriage date | president | tenure | tenure.1 row 1 : 1 | jiang qing | shandong provincial experimental theatre | 19 march 1914 | 20 november 1938 | mao zedong | 27 april 1959 | 27 april 1959 row 2 : 2 | wang guangmei | fu jen catholic university | 26 september 1921 | 21 august 1948 | liu shaoqi | 21 october 1968 | 21 october 1968 row 3 : 3 | he lianying | nan | nan | nan | dong biwu | 17 january 1975 | 17 january 1975 row 4 : 4 | lin jiamei | tong de medical college | 1924 | nan | li xiannian | 8 april 1988 | 8 april 1988 row 5 : 5 | wang yeping | shanghai foreign language institute | february 1928 | december 1949 | jiang zemin | 15 march 2003 | 15 march 2003 row 6 : 6 | liu yongqing | tsinghua university | 1940 | february 1970 | hu jintao | 14 march 2013 | 14 march 2013 row 7 : 7 | peng liyuan | china conservatory of music | 20 november 1962 | 1 september 1987 | xi jinping | incumbent | incumbent
table_csv/204_873.csv
2
{ "column_index": [ 1 ], "row_index": [ 5 ] }
[ "who are all of the spouses?", "who was each spouse married to?", "oh those, which spouse was married to hu jintao?" ]
1
liu yongqing
[ "#", "Name", "Alma mater", "Birth date", "Marriage date", "President", "Tenure", "Tenure.1" ]
oh those, which spouse was married to hu jintao?
[ [ "1", "Jiang Qing", "Shandong Provincial Experimental Theatre", "19 March 1914", "20 November 1938", "Mao Zedong", "27 April 1959", "27 April 1959" ], [ "2", "Wang Guangmei", "Fu Jen Catholic University", "26 September 1921", "21 August 1948", "Liu Shaoqi", "21 October 1968", "21 October 1968" ], [ "3", "He Lianying", "nan", "nan", "nan", "Dong Biwu", "17 January 1975", "17 January 1975" ], [ "4", "Lin Jiamei", "Tong De Medical College", "1924", "nan", "Li Xiannian", "8 April 1988", "8 April 1988" ], [ "5", "Wang Yeping", "Shanghai Foreign Language Institute", "February 1928", "December 1949", "Jiang Zemin", "15 March 2003", "15 March 2003" ], [ "6", "Liu Yongqing", "Tsinghua University", "1940", "February 1970", "Hu Jintao", "14 March 2013", "14 March 2013" ], [ "7", "Peng Liyuan", "China Conservatory of Music", "20 November 1962", "1 September 1987", "Xi Jinping", "Incumbent", "Incumbent" ] ]
[ "Liu Yongqing" ]
oh those, which spouse was married to hu jintao? || who was each spouse married to? | who are all of the spouses?
nt-8087
col : # | name | alma mater | birth date | marriage date | president | tenure | tenure.1 row 1 : 1 | jiang qing | shandong provincial experimental theatre | 19 march 1914 | 20 november 1938 | mao zedong | 27 april 1959 | 27 april 1959 row 2 : 2 | wang guangmei | fu jen catholic university | 26 september 1921 | 21 august 1948 | liu shaoqi | 21 october 1968 | 21 october 1968 row 3 : 3 | he lianying | nan | nan | nan | dong biwu | 17 january 1975 | 17 january 1975 row 4 : 4 | lin jiamei | tong de medical college | 1924 | nan | li xiannian | 8 april 1988 | 8 april 1988 row 5 : 5 | wang yeping | shanghai foreign language institute | february 1928 | december 1949 | jiang zemin | 15 march 2003 | 15 march 2003 row 6 : 6 | liu yongqing | tsinghua university | 1940 | february 1970 | hu jintao | 14 march 2013 | 14 march 2013 row 7 : 7 | peng liyuan | china conservatory of music | 20 november 1962 | 1 september 1987 | xi jinping | incumbent | incumbent
table_csv/204_873.csv
0
{ "column_index": [ 0 ], "row_index": [ 5 ] }
[ "which row is liu yongqing in?" ]
2
6
[ "#", "Name", "Alma mater", "Birth date", "Marriage date", "President", "Tenure", "Tenure.1" ]
which row is liu yongqing in?
[ [ "1", "Jiang Qing", "Shandong Provincial Experimental Theatre", "19 March 1914", "20 November 1938", "Mao Zedong", "27 April 1959", "27 April 1959" ], [ "2", "Wang Guangmei", "Fu Jen Catholic University", "26 September 1921", "21 August 1948", "Liu Shaoqi", "21 October 1968", "21 October 1968" ], [ "3", "He Lianying", "nan", "nan", "nan", "Dong Biwu", "17 January 1975", "17 January 1975" ], [ "4", "Lin Jiamei", "Tong De Medical College", "1924", "nan", "Li Xiannian", "8 April 1988", "8 April 1988" ], [ "5", "Wang Yeping", "Shanghai Foreign Language Institute", "February 1928", "December 1949", "Jiang Zemin", "15 March 2003", "15 March 2003" ], [ "6", "Liu Yongqing", "Tsinghua University", "1940", "February 1970", "Hu Jintao", "14 March 2013", "14 March 2013" ], [ "7", "Peng Liyuan", "China Conservatory of Music", "20 November 1962", "1 September 1987", "Xi Jinping", "Incumbent", "Incumbent" ] ]
[ "6" ]
which row is liu yongqing in? ||
nt-8087
col : # | name | alma mater | birth date | marriage date | president | tenure | tenure.1 row 1 : 1 | jiang qing | shandong provincial experimental theatre | 19 march 1914 | 20 november 1938 | mao zedong | 27 april 1959 | 27 april 1959 row 2 : 2 | wang guangmei | fu jen catholic university | 26 september 1921 | 21 august 1948 | liu shaoqi | 21 october 1968 | 21 october 1968 row 3 : 3 | he lianying | nan | nan | nan | dong biwu | 17 january 1975 | 17 january 1975 row 4 : 4 | lin jiamei | tong de medical college | 1924 | nan | li xiannian | 8 april 1988 | 8 april 1988 row 5 : 5 | wang yeping | shanghai foreign language institute | february 1928 | december 1949 | jiang zemin | 15 march 2003 | 15 march 2003 row 6 : 6 | liu yongqing | tsinghua university | 1940 | february 1970 | hu jintao | 14 march 2013 | 14 march 2013 row 7 : 7 | peng liyuan | china conservatory of music | 20 november 1962 | 1 september 1987 | xi jinping | incumbent | incumbent
table_csv/204_873.csv
1
{ "column_index": [ 0 ], "row_index": [ 4 ] }
[ "which row is liu yongqing in?", "which row is wang yeping in?" ]
2
5
[ "#", "Name", "Alma mater", "Birth date", "Marriage date", "President", "Tenure", "Tenure.1" ]
which row is wang yeping in?
[ [ "1", "Jiang Qing", "Shandong Provincial Experimental Theatre", "19 March 1914", "20 November 1938", "Mao Zedong", "27 April 1959", "27 April 1959" ], [ "2", "Wang Guangmei", "Fu Jen Catholic University", "26 September 1921", "21 August 1948", "Liu Shaoqi", "21 October 1968", "21 October 1968" ], [ "3", "He Lianying", "nan", "nan", "nan", "Dong Biwu", "17 January 1975", "17 January 1975" ], [ "4", "Lin Jiamei", "Tong De Medical College", "1924", "nan", "Li Xiannian", "8 April 1988", "8 April 1988" ], [ "5", "Wang Yeping", "Shanghai Foreign Language Institute", "February 1928", "December 1949", "Jiang Zemin", "15 March 2003", "15 March 2003" ], [ "6", "Liu Yongqing", "Tsinghua University", "1940", "February 1970", "Hu Jintao", "14 March 2013", "14 March 2013" ], [ "7", "Peng Liyuan", "China Conservatory of Music", "20 November 1962", "1 September 1987", "Xi Jinping", "Incumbent", "Incumbent" ] ]
[ "5" ]
which row is wang yeping in? || which row is liu yongqing in?
nt-8087
col : # | name | alma mater | birth date | marriage date | president | tenure | tenure.1 row 1 : 1 | jiang qing | shandong provincial experimental theatre | 19 march 1914 | 20 november 1938 | mao zedong | 27 april 1959 | 27 april 1959 row 2 : 2 | wang guangmei | fu jen catholic university | 26 september 1921 | 21 august 1948 | liu shaoqi | 21 october 1968 | 21 october 1968 row 3 : 3 | he lianying | nan | nan | nan | dong biwu | 17 january 1975 | 17 january 1975 row 4 : 4 | lin jiamei | tong de medical college | 1924 | nan | li xiannian | 8 april 1988 | 8 april 1988 row 5 : 5 | wang yeping | shanghai foreign language institute | february 1928 | december 1949 | jiang zemin | 15 march 2003 | 15 march 2003 row 6 : 6 | liu yongqing | tsinghua university | 1940 | february 1970 | hu jintao | 14 march 2013 | 14 march 2013 row 7 : 7 | peng liyuan | china conservatory of music | 20 november 1962 | 1 september 1987 | xi jinping | incumbent | incumbent
table_csv/204_873.csv
2
{ "column_index": [ 0 ], "row_index": [ 5 ] }
[ "which row is liu yongqing in?", "which row is wang yeping in?", "which row is hu jintao in?" ]
2
6
[ "#", "Name", "Alma mater", "Birth date", "Marriage date", "President", "Tenure", "Tenure.1" ]
which row is hu jintao in?
[ [ "1", "Jiang Qing", "Shandong Provincial Experimental Theatre", "19 March 1914", "20 November 1938", "Mao Zedong", "27 April 1959", "27 April 1959" ], [ "2", "Wang Guangmei", "Fu Jen Catholic University", "26 September 1921", "21 August 1948", "Liu Shaoqi", "21 October 1968", "21 October 1968" ], [ "3", "He Lianying", "nan", "nan", "nan", "Dong Biwu", "17 January 1975", "17 January 1975" ], [ "4", "Lin Jiamei", "Tong De Medical College", "1924", "nan", "Li Xiannian", "8 April 1988", "8 April 1988" ], [ "5", "Wang Yeping", "Shanghai Foreign Language Institute", "February 1928", "December 1949", "Jiang Zemin", "15 March 2003", "15 March 2003" ], [ "6", "Liu Yongqing", "Tsinghua University", "1940", "February 1970", "Hu Jintao", "14 March 2013", "14 March 2013" ], [ "7", "Peng Liyuan", "China Conservatory of Music", "20 November 1962", "1 September 1987", "Xi Jinping", "Incumbent", "Incumbent" ] ]
[ "6" ]
which row is hu jintao in? || which row is wang yeping in? | which row is liu yongqing in?
nt-8087
col : # | name | alma mater | birth date | marriage date | president | tenure | tenure.1 row 1 : 1 | jiang qing | shandong provincial experimental theatre | 19 march 1914 | 20 november 1938 | mao zedong | 27 april 1959 | 27 april 1959 row 2 : 2 | wang guangmei | fu jen catholic university | 26 september 1921 | 21 august 1948 | liu shaoqi | 21 october 1968 | 21 october 1968 row 3 : 3 | he lianying | nan | nan | nan | dong biwu | 17 january 1975 | 17 january 1975 row 4 : 4 | lin jiamei | tong de medical college | 1924 | nan | li xiannian | 8 april 1988 | 8 april 1988 row 5 : 5 | wang yeping | shanghai foreign language institute | february 1928 | december 1949 | jiang zemin | 15 march 2003 | 15 march 2003 row 6 : 6 | liu yongqing | tsinghua university | 1940 | february 1970 | hu jintao | 14 march 2013 | 14 march 2013 row 7 : 7 | peng liyuan | china conservatory of music | 20 november 1962 | 1 september 1987 | xi jinping | incumbent | incumbent
table_csv/204_873.csv
3
{ "column_index": [ 1 ], "row_index": [ 5 ] }
[ "which row is liu yongqing in?", "which row is wang yeping in?", "which row is hu jintao in?", "of liu and wang, who shares the same row as hu jintao?" ]
2
liu yongqing
[ "#", "Name", "Alma mater", "Birth date", "Marriage date", "President", "Tenure", "Tenure.1" ]
of liu and wang, who shares the same row as hu jintao?
[ [ "1", "Jiang Qing", "Shandong Provincial Experimental Theatre", "19 March 1914", "20 November 1938", "Mao Zedong", "27 April 1959", "27 April 1959" ], [ "2", "Wang Guangmei", "Fu Jen Catholic University", "26 September 1921", "21 August 1948", "Liu Shaoqi", "21 October 1968", "21 October 1968" ], [ "3", "He Lianying", "nan", "nan", "nan", "Dong Biwu", "17 January 1975", "17 January 1975" ], [ "4", "Lin Jiamei", "Tong De Medical College", "1924", "nan", "Li Xiannian", "8 April 1988", "8 April 1988" ], [ "5", "Wang Yeping", "Shanghai Foreign Language Institute", "February 1928", "December 1949", "Jiang Zemin", "15 March 2003", "15 March 2003" ], [ "6", "Liu Yongqing", "Tsinghua University", "1940", "February 1970", "Hu Jintao", "14 March 2013", "14 March 2013" ], [ "7", "Peng Liyuan", "China Conservatory of Music", "20 November 1962", "1 September 1987", "Xi Jinping", "Incumbent", "Incumbent" ] ]
[ "Liu Yongqing" ]
of liu and wang, who shares the same row as hu jintao? || which row is hu jintao in? | which row is wang yeping in? | which row is liu yongqing in?
nt-3231
col : rank | lane | name | nationality | time | notes row 1 : 1 | 4 | petra chocova | czech republic | 31.44 | q row 2 : 2 | 5 | sycerika mcmahon | ireland | 31.51 | q row 3 : 3 | 6 | concepcion badillo diaz | spain | 31.66 | q row 4 : 4 | 1 | katharina stiberg | norway | 31.84 | q row 5 : 5 | 3 | hrafnhildur luthersdottir | iceland | 31.95 | q row 6 : 6 | 8 | anastasia christoforou | cyprus | 31.98 | nan row 7 : 7 | 2 | ivana ninkovic | bosnia and herzegovina | 32.26 | nan row 8 : 8 | 7 | jenna laukkanen | finland | 32.26 | nan
table_csv/204_547.csv
0
{ "column_index": [ 0 ], "row_index": [ 7 ] }
[ "how many people competed in the race?" ]
0
8
[ "Rank", "Lane", "Name", "Nationality", "Time", "Notes" ]
how many people competed in the race?
[ [ "1", "4", "Petra Chocova", "Czech Republic", "31.44", "Q" ], [ "2", "5", "Sycerika McMahon", "Ireland", "31.51", "Q" ], [ "3", "6", "Concepcion Badillo Diaz", "Spain", "31.66", "Q" ], [ "4", "1", "Katharina Stiberg", "Norway", "31.84", "Q" ], [ "5", "3", "Hrafnhildur Luthersdottir", "Iceland", "31.95", "Q" ], [ "6", "8", "Anastasia Christoforou", "Cyprus", "31.98", "nan" ], [ "7", "2", "Ivana Ninkovic", "Bosnia and Herzegovina", "32.26", "nan" ], [ "8", "7", "Jenna Laukkanen", "Finland", "32.26", "nan" ] ]
[ "8" ]
how many people competed in the race? ||
nt-3231
col : rank | lane | name | nationality | time | notes row 1 : 1 | 4 | petra chocova | czech republic | 31.44 | q row 2 : 2 | 5 | sycerika mcmahon | ireland | 31.51 | q row 3 : 3 | 6 | concepcion badillo diaz | spain | 31.66 | q row 4 : 4 | 1 | katharina stiberg | norway | 31.84 | q row 5 : 5 | 3 | hrafnhildur luthersdottir | iceland | 31.95 | q row 6 : 6 | 8 | anastasia christoforou | cyprus | 31.98 | nan row 7 : 7 | 2 | ivana ninkovic | bosnia and herzegovina | 32.26 | nan row 8 : 8 | 7 | jenna laukkanen | finland | 32.26 | nan
table_csv/204_547.csv
1
{ "column_index": [ 4 ], "row_index": [ 0 ] }
[ "how many people competed in the race?", "of the people who competed in the race what was the fastest time?" ]
0
31.44
[ "Rank", "Lane", "Name", "Nationality", "Time", "Notes" ]
of the people who competed in the race what was the fastest time?
[ [ "1", "4", "Petra Chocova", "Czech Republic", "31.44", "Q" ], [ "2", "5", "Sycerika McMahon", "Ireland", "31.51", "Q" ], [ "3", "6", "Concepcion Badillo Diaz", "Spain", "31.66", "Q" ], [ "4", "1", "Katharina Stiberg", "Norway", "31.84", "Q" ], [ "5", "3", "Hrafnhildur Luthersdottir", "Iceland", "31.95", "Q" ], [ "6", "8", "Anastasia Christoforou", "Cyprus", "31.98", "nan" ], [ "7", "2", "Ivana Ninkovic", "Bosnia and Herzegovina", "32.26", "nan" ], [ "8", "7", "Jenna Laukkanen", "Finland", "32.26", "nan" ] ]
[ "31.44" ]
of the people who competed in the race what was the fastest time? || how many people competed in the race?
nt-3231
col : rank | lane | name | nationality | time | notes row 1 : 1 | 4 | petra chocova | czech republic | 31.44 | q row 2 : 2 | 5 | sycerika mcmahon | ireland | 31.51 | q row 3 : 3 | 6 | concepcion badillo diaz | spain | 31.66 | q row 4 : 4 | 1 | katharina stiberg | norway | 31.84 | q row 5 : 5 | 3 | hrafnhildur luthersdottir | iceland | 31.95 | q row 6 : 6 | 8 | anastasia christoforou | cyprus | 31.98 | nan row 7 : 7 | 2 | ivana ninkovic | bosnia and herzegovina | 32.26 | nan row 8 : 8 | 7 | jenna laukkanen | finland | 32.26 | nan
table_csv/204_547.csv
0
{ "column_index": [ 2, 2, 2, 2, 2, 2 ], "row_index": [ 0, 1, 2, 3, 4, 5 ] }
[ "which swimmers finished in less than 32 seconds?" ]
1
petra chocova, sycerika mcmahon, concepcion badillo diaz, katharina stiberg, hrafnhildur luthersdottir, anastasia christoforou
[ "Rank", "Lane", "Name", "Nationality", "Time", "Notes" ]
which swimmers finished in less than 32 seconds?
[ [ "1", "4", "Petra Chocova", "Czech Republic", "31.44", "Q" ], [ "2", "5", "Sycerika McMahon", "Ireland", "31.51", "Q" ], [ "3", "6", "Concepcion Badillo Diaz", "Spain", "31.66", "Q" ], [ "4", "1", "Katharina Stiberg", "Norway", "31.84", "Q" ], [ "5", "3", "Hrafnhildur Luthersdottir", "Iceland", "31.95", "Q" ], [ "6", "8", "Anastasia Christoforou", "Cyprus", "31.98", "nan" ], [ "7", "2", "Ivana Ninkovic", "Bosnia and Herzegovina", "32.26", "nan" ], [ "8", "7", "Jenna Laukkanen", "Finland", "32.26", "nan" ] ]
[ "Petra Chocova", "Sycerika McMahon", "Concepcion Badillo Diaz", "Katharina Stiberg", "Hrafnhildur Luthersdottir", "Anastasia Christoforou" ]
which swimmers finished in less than 32 seconds? ||
nt-3231
col : rank | lane | name | nationality | time | notes row 1 : 1 | 4 | petra chocova | czech republic | 31.44 | q row 2 : 2 | 5 | sycerika mcmahon | ireland | 31.51 | q row 3 : 3 | 6 | concepcion badillo diaz | spain | 31.66 | q row 4 : 4 | 1 | katharina stiberg | norway | 31.84 | q row 5 : 5 | 3 | hrafnhildur luthersdottir | iceland | 31.95 | q row 6 : 6 | 8 | anastasia christoforou | cyprus | 31.98 | nan row 7 : 7 | 2 | ivana ninkovic | bosnia and herzegovina | 32.26 | nan row 8 : 8 | 7 | jenna laukkanen | finland | 32.26 | nan
table_csv/204_547.csv
1
{ "column_index": [ 4, 4, 4, 4, 4, 4 ], "row_index": [ 0, 1, 2, 3, 4, 5 ] }
[ "which swimmers finished in less than 32 seconds?", "what were those swimmer's times?" ]
1
31.44, 31.51, 31.66, 31.84, 31.95, 31.98
[ "Rank", "Lane", "Name", "Nationality", "Time", "Notes" ]
what were those swimmer's times?
[ [ "1", "4", "Petra Chocova", "Czech Republic", "31.44", "Q" ], [ "2", "5", "Sycerika McMahon", "Ireland", "31.51", "Q" ], [ "3", "6", "Concepcion Badillo Diaz", "Spain", "31.66", "Q" ], [ "4", "1", "Katharina Stiberg", "Norway", "31.84", "Q" ], [ "5", "3", "Hrafnhildur Luthersdottir", "Iceland", "31.95", "Q" ], [ "6", "8", "Anastasia Christoforou", "Cyprus", "31.98", "nan" ], [ "7", "2", "Ivana Ninkovic", "Bosnia and Herzegovina", "32.26", "nan" ], [ "8", "7", "Jenna Laukkanen", "Finland", "32.26", "nan" ] ]
[ "31.44", "31.51", "31.66", "31.84", "31.95", "31.98" ]
what were those swimmer's times? || which swimmers finished in less than 32 seconds?
nt-3231
col : rank | lane | name | nationality | time | notes row 1 : 1 | 4 | petra chocova | czech republic | 31.44 | q row 2 : 2 | 5 | sycerika mcmahon | ireland | 31.51 | q row 3 : 3 | 6 | concepcion badillo diaz | spain | 31.66 | q row 4 : 4 | 1 | katharina stiberg | norway | 31.84 | q row 5 : 5 | 3 | hrafnhildur luthersdottir | iceland | 31.95 | q row 6 : 6 | 8 | anastasia christoforou | cyprus | 31.98 | nan row 7 : 7 | 2 | ivana ninkovic | bosnia and herzegovina | 32.26 | nan row 8 : 8 | 7 | jenna laukkanen | finland | 32.26 | nan
table_csv/204_547.csv
2
{ "column_index": [ 4 ], "row_index": [ 0 ] }
[ "which swimmers finished in less than 32 seconds?", "what were those swimmer's times?", "what was the fastest time?" ]
1
31.44
[ "Rank", "Lane", "Name", "Nationality", "Time", "Notes" ]
what was the fastest time?
[ [ "1", "4", "Petra Chocova", "Czech Republic", "31.44", "Q" ], [ "2", "5", "Sycerika McMahon", "Ireland", "31.51", "Q" ], [ "3", "6", "Concepcion Badillo Diaz", "Spain", "31.66", "Q" ], [ "4", "1", "Katharina Stiberg", "Norway", "31.84", "Q" ], [ "5", "3", "Hrafnhildur Luthersdottir", "Iceland", "31.95", "Q" ], [ "6", "8", "Anastasia Christoforou", "Cyprus", "31.98", "nan" ], [ "7", "2", "Ivana Ninkovic", "Bosnia and Herzegovina", "32.26", "nan" ], [ "8", "7", "Jenna Laukkanen", "Finland", "32.26", "nan" ] ]
[ "31.44" ]
what was the fastest time? || what were those swimmer's times? | which swimmers finished in less than 32 seconds?
nt-3231
col : rank | lane | name | nationality | time | notes row 1 : 1 | 4 | petra chocova | czech republic | 31.44 | q row 2 : 2 | 5 | sycerika mcmahon | ireland | 31.51 | q row 3 : 3 | 6 | concepcion badillo diaz | spain | 31.66 | q row 4 : 4 | 1 | katharina stiberg | norway | 31.84 | q row 5 : 5 | 3 | hrafnhildur luthersdottir | iceland | 31.95 | q row 6 : 6 | 8 | anastasia christoforou | cyprus | 31.98 | nan row 7 : 7 | 2 | ivana ninkovic | bosnia and herzegovina | 32.26 | nan row 8 : 8 | 7 | jenna laukkanen | finland | 32.26 | nan
table_csv/204_547.csv
0
{ "column_index": [ 2, 2, 2, 2, 2, 2, 2, 2 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7 ] }
[ "who took part in the women's 50 metre breaststroke event at the 2012 european aquatics championships?" ]
2
petra chocova, sycerika mcmahon, concepcion badillo diaz, katharina stiberg, hrafnhildur luthersdottir, anastasia christoforou, ivana ninkovic, jenna laukkanen
[ "Rank", "Lane", "Name", "Nationality", "Time", "Notes" ]
who took part in the women's 50 metre breaststroke event at the 2012 european aquatics championships?
[ [ "1", "4", "Petra Chocova", "Czech Republic", "31.44", "Q" ], [ "2", "5", "Sycerika McMahon", "Ireland", "31.51", "Q" ], [ "3", "6", "Concepcion Badillo Diaz", "Spain", "31.66", "Q" ], [ "4", "1", "Katharina Stiberg", "Norway", "31.84", "Q" ], [ "5", "3", "Hrafnhildur Luthersdottir", "Iceland", "31.95", "Q" ], [ "6", "8", "Anastasia Christoforou", "Cyprus", "31.98", "nan" ], [ "7", "2", "Ivana Ninkovic", "Bosnia and Herzegovina", "32.26", "nan" ], [ "8", "7", "Jenna Laukkanen", "Finland", "32.26", "nan" ] ]
[ "Petra Chocova", "Sycerika McMahon", "Concepcion Badillo Diaz", "Katharina Stiberg", "Hrafnhildur Luthersdottir", "Anastasia Christoforou", "Ivana Ninkovic", "Jenna Laukkanen" ]
who took part in the women's 50 metre breaststroke event at the 2012 european aquatics championships? ||
nt-3231
col : rank | lane | name | nationality | time | notes row 1 : 1 | 4 | petra chocova | czech republic | 31.44 | q row 2 : 2 | 5 | sycerika mcmahon | ireland | 31.51 | q row 3 : 3 | 6 | concepcion badillo diaz | spain | 31.66 | q row 4 : 4 | 1 | katharina stiberg | norway | 31.84 | q row 5 : 5 | 3 | hrafnhildur luthersdottir | iceland | 31.95 | q row 6 : 6 | 8 | anastasia christoforou | cyprus | 31.98 | nan row 7 : 7 | 2 | ivana ninkovic | bosnia and herzegovina | 32.26 | nan row 8 : 8 | 7 | jenna laukkanen | finland | 32.26 | nan
table_csv/204_547.csv
1
{ "column_index": [ 4, 4, 4, 4, 4, 4, 4, 4 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7 ] }
[ "who took part in the women's 50 metre breaststroke event at the 2012 european aquatics championships?", "what were the times achieved by these swimmers?" ]
2
31.44, 31.51, 31.66, 31.84, 31.95, 31.98, 32.26, 32.26
[ "Rank", "Lane", "Name", "Nationality", "Time", "Notes" ]
what were the times achieved by these swimmers?
[ [ "1", "4", "Petra Chocova", "Czech Republic", "31.44", "Q" ], [ "2", "5", "Sycerika McMahon", "Ireland", "31.51", "Q" ], [ "3", "6", "Concepcion Badillo Diaz", "Spain", "31.66", "Q" ], [ "4", "1", "Katharina Stiberg", "Norway", "31.84", "Q" ], [ "5", "3", "Hrafnhildur Luthersdottir", "Iceland", "31.95", "Q" ], [ "6", "8", "Anastasia Christoforou", "Cyprus", "31.98", "nan" ], [ "7", "2", "Ivana Ninkovic", "Bosnia and Herzegovina", "32.26", "nan" ], [ "8", "7", "Jenna Laukkanen", "Finland", "32.26", "nan" ] ]
[ "31.44", "31.51", "31.66", "31.84", "31.95", "31.98", "32.26", "32.26" ]
what were the times achieved by these swimmers? || who took part in the women's 50 metre breaststroke event at the 2012 european aquatics championships?
nt-3231
col : rank | lane | name | nationality | time | notes row 1 : 1 | 4 | petra chocova | czech republic | 31.44 | q row 2 : 2 | 5 | sycerika mcmahon | ireland | 31.51 | q row 3 : 3 | 6 | concepcion badillo diaz | spain | 31.66 | q row 4 : 4 | 1 | katharina stiberg | norway | 31.84 | q row 5 : 5 | 3 | hrafnhildur luthersdottir | iceland | 31.95 | q row 6 : 6 | 8 | anastasia christoforou | cyprus | 31.98 | nan row 7 : 7 | 2 | ivana ninkovic | bosnia and herzegovina | 32.26 | nan row 8 : 8 | 7 | jenna laukkanen | finland | 32.26 | nan
table_csv/204_547.csv
2
{ "column_index": [ 4 ], "row_index": [ 0 ] }
[ "who took part in the women's 50 metre breaststroke event at the 2012 european aquatics championships?", "what were the times achieved by these swimmers?", "which time is the fastest?" ]
2
31.44
[ "Rank", "Lane", "Name", "Nationality", "Time", "Notes" ]
which time is the fastest?
[ [ "1", "4", "Petra Chocova", "Czech Republic", "31.44", "Q" ], [ "2", "5", "Sycerika McMahon", "Ireland", "31.51", "Q" ], [ "3", "6", "Concepcion Badillo Diaz", "Spain", "31.66", "Q" ], [ "4", "1", "Katharina Stiberg", "Norway", "31.84", "Q" ], [ "5", "3", "Hrafnhildur Luthersdottir", "Iceland", "31.95", "Q" ], [ "6", "8", "Anastasia Christoforou", "Cyprus", "31.98", "nan" ], [ "7", "2", "Ivana Ninkovic", "Bosnia and Herzegovina", "32.26", "nan" ], [ "8", "7", "Jenna Laukkanen", "Finland", "32.26", "nan" ] ]
[ "31.44" ]
which time is the fastest? || what were the times achieved by these swimmers? | who took part in the women's 50 metre breaststroke event at the 2012 european aquatics championships?
nt-5171
col : year | representative | hometown | placement in miss nepal | special awards at miss nepal | placement in miss pokhara row 1 : 1995 | rita gurung | pamee | 1st runner up | nan | winner row 2 : 1996 | binita gurung | batulichor | 2nd runner up | nan | winner row 3 : 1997 | neelima gurung | nadipur | winner | miss personality | winner row 4 : 1998 | sunita ranjit | lakeside | nan | nan | winner row 5 : 1999 | kripa gurung | tersapatti | 2nd runner up | miss photogenic | winner row 6 : 2004 | anita gurung | bajapatan | 2nd runner up | miss talent | miss paschimanchal 2003 row 7 : 2005 | chandra gurung | ghorepatan | nan | nan | nan row 8 : 2011 | madina begum | pokreli | nan | miss perseverance | nan row 9 : 2012 | dilasha gc | chindata | nan | nan | nan row 10 : 2013 | sipora gurung | mahendrapool | 3rd runner up | miss talent | nan row 11 : 2014 | rashmi adhikari | goripatan | tba | tba | winner
table_csv/204_172.csv
0
{ "column_index": [ 1, 1, 1, 1, 1 ], "row_index": [ 2, 4, 5, 7, 9 ] }
[ "which of the representatives won special awards at miss nepal?" ]
0
neelima gurung, kripa gurung, anita gurung, madina begum, sipora gurung
[ "Year", "Representative", "Hometown", "Placement in Miss Nepal", "Special awards at Miss Nepal", "Placement in Miss Pokhara" ]
which of the representatives won special awards at miss nepal?
[ [ "1995", "Rita Gurung", "Pamee", "1st Runner Up", "nan", "Winner" ], [ "1996", "Binita Gurung", "Batulichor", "2nd Runner Up", "nan", "Winner" ], [ "1997", "Neelima Gurung", "Nadipur", "WINNER", "Miss Personality", "Winner" ], [ "1998", "Sunita Ranjit", "Lakeside", "nan", "nan", "Winner" ], [ "1999", "Kripa Gurung", "Tersapatti", "2nd Runner Up", "Miss Photogenic", "Winner" ], [ "2004", "Anita Gurung", "Bajapatan", "2nd Runner Up", "Miss Talent", "Miss Paschimanchal 2003" ], [ "2005", "Chandra Gurung", "Ghorepatan", "nan", "nan", "nan" ], [ "2011", "Madina Begum", "Pokreli", "nan", "Miss Perseverance", "nan" ], [ "2012", "Dilasha GC", "Chindata", "nan", "nan", "nan" ], [ "2013", "Sipora Gurung", "Mahendrapool", "3rd Runner Up", "Miss Talent", "nan" ], [ "2014", "Rashmi Adhikari", "Goripatan", "TBA", "TBA", "Winner" ] ]
[ "Neelima Gurung", "Kripa Gurung", "Anita Gurung", "Madina Begum", "Sipora Gurung" ]
which of the representatives won special awards at miss nepal? ||
nt-5171
col : year | representative | hometown | placement in miss nepal | special awards at miss nepal | placement in miss pokhara row 1 : 1995 | rita gurung | pamee | 1st runner up | nan | winner row 2 : 1996 | binita gurung | batulichor | 2nd runner up | nan | winner row 3 : 1997 | neelima gurung | nadipur | winner | miss personality | winner row 4 : 1998 | sunita ranjit | lakeside | nan | nan | winner row 5 : 1999 | kripa gurung | tersapatti | 2nd runner up | miss photogenic | winner row 6 : 2004 | anita gurung | bajapatan | 2nd runner up | miss talent | miss paschimanchal 2003 row 7 : 2005 | chandra gurung | ghorepatan | nan | nan | nan row 8 : 2011 | madina begum | pokreli | nan | miss perseverance | nan row 9 : 2012 | dilasha gc | chindata | nan | nan | nan row 10 : 2013 | sipora gurung | mahendrapool | 3rd runner up | miss talent | nan row 11 : 2014 | rashmi adhikari | goripatan | tba | tba | winner
table_csv/204_172.csv
1
{ "column_index": [ 1 ], "row_index": [ 7 ] }
[ "which of the representatives won special awards at miss nepal?", "of these, which of them did not win miss nepal?" ]
0
madina begum
[ "Year", "Representative", "Hometown", "Placement in Miss Nepal", "Special awards at Miss Nepal", "Placement in Miss Pokhara" ]
of these, which of them did not win miss nepal?
[ [ "1995", "Rita Gurung", "Pamee", "1st Runner Up", "nan", "Winner" ], [ "1996", "Binita Gurung", "Batulichor", "2nd Runner Up", "nan", "Winner" ], [ "1997", "Neelima Gurung", "Nadipur", "WINNER", "Miss Personality", "Winner" ], [ "1998", "Sunita Ranjit", "Lakeside", "nan", "nan", "Winner" ], [ "1999", "Kripa Gurung", "Tersapatti", "2nd Runner Up", "Miss Photogenic", "Winner" ], [ "2004", "Anita Gurung", "Bajapatan", "2nd Runner Up", "Miss Talent", "Miss Paschimanchal 2003" ], [ "2005", "Chandra Gurung", "Ghorepatan", "nan", "nan", "nan" ], [ "2011", "Madina Begum", "Pokreli", "nan", "Miss Perseverance", "nan" ], [ "2012", "Dilasha GC", "Chindata", "nan", "nan", "nan" ], [ "2013", "Sipora Gurung", "Mahendrapool", "3rd Runner Up", "Miss Talent", "nan" ], [ "2014", "Rashmi Adhikari", "Goripatan", "TBA", "TBA", "Winner" ] ]
[ "Madina Begum" ]
of these, which of them did not win miss nepal? || which of the representatives won special awards at miss nepal?
nt-5171
col : year | representative | hometown | placement in miss nepal | special awards at miss nepal | placement in miss pokhara row 1 : 1995 | rita gurung | pamee | 1st runner up | nan | winner row 2 : 1996 | binita gurung | batulichor | 2nd runner up | nan | winner row 3 : 1997 | neelima gurung | nadipur | winner | miss personality | winner row 4 : 1998 | sunita ranjit | lakeside | nan | nan | winner row 5 : 1999 | kripa gurung | tersapatti | 2nd runner up | miss photogenic | winner row 6 : 2004 | anita gurung | bajapatan | 2nd runner up | miss talent | miss paschimanchal 2003 row 7 : 2005 | chandra gurung | ghorepatan | nan | nan | nan row 8 : 2011 | madina begum | pokreli | nan | miss perseverance | nan row 9 : 2012 | dilasha gc | chindata | nan | nan | nan row 10 : 2013 | sipora gurung | mahendrapool | 3rd runner up | miss talent | nan row 11 : 2014 | rashmi adhikari | goripatan | tba | tba | winner
table_csv/204_172.csv
0
{ "column_index": [ 1 ], "row_index": [ 0 ] }
[ "what representative won at pamee?" ]
1
rita gurung
[ "Year", "Representative", "Hometown", "Placement in Miss Nepal", "Special awards at Miss Nepal", "Placement in Miss Pokhara" ]
what representative won at pamee?
[ [ "1995", "Rita Gurung", "Pamee", "1st Runner Up", "nan", "Winner" ], [ "1996", "Binita Gurung", "Batulichor", "2nd Runner Up", "nan", "Winner" ], [ "1997", "Neelima Gurung", "Nadipur", "WINNER", "Miss Personality", "Winner" ], [ "1998", "Sunita Ranjit", "Lakeside", "nan", "nan", "Winner" ], [ "1999", "Kripa Gurung", "Tersapatti", "2nd Runner Up", "Miss Photogenic", "Winner" ], [ "2004", "Anita Gurung", "Bajapatan", "2nd Runner Up", "Miss Talent", "Miss Paschimanchal 2003" ], [ "2005", "Chandra Gurung", "Ghorepatan", "nan", "nan", "nan" ], [ "2011", "Madina Begum", "Pokreli", "nan", "Miss Perseverance", "nan" ], [ "2012", "Dilasha GC", "Chindata", "nan", "nan", "nan" ], [ "2013", "Sipora Gurung", "Mahendrapool", "3rd Runner Up", "Miss Talent", "nan" ], [ "2014", "Rashmi Adhikari", "Goripatan", "TBA", "TBA", "Winner" ] ]
[ "Rita Gurung" ]
what representative won at pamee? ||
nt-5171
col : year | representative | hometown | placement in miss nepal | special awards at miss nepal | placement in miss pokhara row 1 : 1995 | rita gurung | pamee | 1st runner up | nan | winner row 2 : 1996 | binita gurung | batulichor | 2nd runner up | nan | winner row 3 : 1997 | neelima gurung | nadipur | winner | miss personality | winner row 4 : 1998 | sunita ranjit | lakeside | nan | nan | winner row 5 : 1999 | kripa gurung | tersapatti | 2nd runner up | miss photogenic | winner row 6 : 2004 | anita gurung | bajapatan | 2nd runner up | miss talent | miss paschimanchal 2003 row 7 : 2005 | chandra gurung | ghorepatan | nan | nan | nan row 8 : 2011 | madina begum | pokreli | nan | miss perseverance | nan row 9 : 2012 | dilasha gc | chindata | nan | nan | nan row 10 : 2013 | sipora gurung | mahendrapool | 3rd runner up | miss talent | nan row 11 : 2014 | rashmi adhikari | goripatan | tba | tba | winner
table_csv/204_172.csv
1
{ "column_index": [ 1 ], "row_index": [ 1 ] }
[ "what representative won at pamee?", "what representative won at batulichor?" ]
1
binita gurung
[ "Year", "Representative", "Hometown", "Placement in Miss Nepal", "Special awards at Miss Nepal", "Placement in Miss Pokhara" ]
what representative won at batulichor?
[ [ "1995", "Rita Gurung", "Pamee", "1st Runner Up", "nan", "Winner" ], [ "1996", "Binita Gurung", "Batulichor", "2nd Runner Up", "nan", "Winner" ], [ "1997", "Neelima Gurung", "Nadipur", "WINNER", "Miss Personality", "Winner" ], [ "1998", "Sunita Ranjit", "Lakeside", "nan", "nan", "Winner" ], [ "1999", "Kripa Gurung", "Tersapatti", "2nd Runner Up", "Miss Photogenic", "Winner" ], [ "2004", "Anita Gurung", "Bajapatan", "2nd Runner Up", "Miss Talent", "Miss Paschimanchal 2003" ], [ "2005", "Chandra Gurung", "Ghorepatan", "nan", "nan", "nan" ], [ "2011", "Madina Begum", "Pokreli", "nan", "Miss Perseverance", "nan" ], [ "2012", "Dilasha GC", "Chindata", "nan", "nan", "nan" ], [ "2013", "Sipora Gurung", "Mahendrapool", "3rd Runner Up", "Miss Talent", "nan" ], [ "2014", "Rashmi Adhikari", "Goripatan", "TBA", "TBA", "Winner" ] ]
[ "Binita Gurung" ]
what representative won at batulichor? || what representative won at pamee?
nt-5171
col : year | representative | hometown | placement in miss nepal | special awards at miss nepal | placement in miss pokhara row 1 : 1995 | rita gurung | pamee | 1st runner up | nan | winner row 2 : 1996 | binita gurung | batulichor | 2nd runner up | nan | winner row 3 : 1997 | neelima gurung | nadipur | winner | miss personality | winner row 4 : 1998 | sunita ranjit | lakeside | nan | nan | winner row 5 : 1999 | kripa gurung | tersapatti | 2nd runner up | miss photogenic | winner row 6 : 2004 | anita gurung | bajapatan | 2nd runner up | miss talent | miss paschimanchal 2003 row 7 : 2005 | chandra gurung | ghorepatan | nan | nan | nan row 8 : 2011 | madina begum | pokreli | nan | miss perseverance | nan row 9 : 2012 | dilasha gc | chindata | nan | nan | nan row 10 : 2013 | sipora gurung | mahendrapool | 3rd runner up | miss talent | nan row 11 : 2014 | rashmi adhikari | goripatan | tba | tba | winner
table_csv/204_172.csv
2
{ "column_index": [ 1 ], "row_index": [ 7 ] }
[ "what representative won at pamee?", "what representative won at batulichor?", "what representative won a special award?" ]
1
madina begum
[ "Year", "Representative", "Hometown", "Placement in Miss Nepal", "Special awards at Miss Nepal", "Placement in Miss Pokhara" ]
what representative won a special award?
[ [ "1995", "Rita Gurung", "Pamee", "1st Runner Up", "nan", "Winner" ], [ "1996", "Binita Gurung", "Batulichor", "2nd Runner Up", "nan", "Winner" ], [ "1997", "Neelima Gurung", "Nadipur", "WINNER", "Miss Personality", "Winner" ], [ "1998", "Sunita Ranjit", "Lakeside", "nan", "nan", "Winner" ], [ "1999", "Kripa Gurung", "Tersapatti", "2nd Runner Up", "Miss Photogenic", "Winner" ], [ "2004", "Anita Gurung", "Bajapatan", "2nd Runner Up", "Miss Talent", "Miss Paschimanchal 2003" ], [ "2005", "Chandra Gurung", "Ghorepatan", "nan", "nan", "nan" ], [ "2011", "Madina Begum", "Pokreli", "nan", "Miss Perseverance", "nan" ], [ "2012", "Dilasha GC", "Chindata", "nan", "nan", "nan" ], [ "2013", "Sipora Gurung", "Mahendrapool", "3rd Runner Up", "Miss Talent", "nan" ], [ "2014", "Rashmi Adhikari", "Goripatan", "TBA", "TBA", "Winner" ] ]
[ "Madina Begum" ]
what representative won a special award? || what representative won at batulichor? | what representative won at pamee?
nt-5171
col : year | representative | hometown | placement in miss nepal | special awards at miss nepal | placement in miss pokhara row 1 : 1995 | rita gurung | pamee | 1st runner up | nan | winner row 2 : 1996 | binita gurung | batulichor | 2nd runner up | nan | winner row 3 : 1997 | neelima gurung | nadipur | winner | miss personality | winner row 4 : 1998 | sunita ranjit | lakeside | nan | nan | winner row 5 : 1999 | kripa gurung | tersapatti | 2nd runner up | miss photogenic | winner row 6 : 2004 | anita gurung | bajapatan | 2nd runner up | miss talent | miss paschimanchal 2003 row 7 : 2005 | chandra gurung | ghorepatan | nan | nan | nan row 8 : 2011 | madina begum | pokreli | nan | miss perseverance | nan row 9 : 2012 | dilasha gc | chindata | nan | nan | nan row 10 : 2013 | sipora gurung | mahendrapool | 3rd runner up | miss talent | nan row 11 : 2014 | rashmi adhikari | goripatan | tba | tba | winner
table_csv/204_172.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 ] }
[ "who are all of the representatives?" ]
2
rita gurung, binita gurung, neelima gurung, sunita ranjit, kripa gurung, anita gurung, chandra gurung, madina begum, dilasha gc, sipora gurung, rashmi adhikari
[ "Year", "Representative", "Hometown", "Placement in Miss Nepal", "Special awards at Miss Nepal", "Placement in Miss Pokhara" ]
who are all of the representatives?
[ [ "1995", "Rita Gurung", "Pamee", "1st Runner Up", "nan", "Winner" ], [ "1996", "Binita Gurung", "Batulichor", "2nd Runner Up", "nan", "Winner" ], [ "1997", "Neelima Gurung", "Nadipur", "WINNER", "Miss Personality", "Winner" ], [ "1998", "Sunita Ranjit", "Lakeside", "nan", "nan", "Winner" ], [ "1999", "Kripa Gurung", "Tersapatti", "2nd Runner Up", "Miss Photogenic", "Winner" ], [ "2004", "Anita Gurung", "Bajapatan", "2nd Runner Up", "Miss Talent", "Miss Paschimanchal 2003" ], [ "2005", "Chandra Gurung", "Ghorepatan", "nan", "nan", "nan" ], [ "2011", "Madina Begum", "Pokreli", "nan", "Miss Perseverance", "nan" ], [ "2012", "Dilasha GC", "Chindata", "nan", "nan", "nan" ], [ "2013", "Sipora Gurung", "Mahendrapool", "3rd Runner Up", "Miss Talent", "nan" ], [ "2014", "Rashmi Adhikari", "Goripatan", "TBA", "TBA", "Winner" ] ]
[ "Rita Gurung", "Binita Gurung", "Neelima Gurung", "Sunita Ranjit", "Kripa Gurung", "Anita Gurung", "Chandra Gurung", "Madina Begum", "Dilasha GC", "Sipora Gurung", "Rashmi Adhikari" ]
who are all of the representatives? ||
nt-5171
col : year | representative | hometown | placement in miss nepal | special awards at miss nepal | placement in miss pokhara row 1 : 1995 | rita gurung | pamee | 1st runner up | nan | winner row 2 : 1996 | binita gurung | batulichor | 2nd runner up | nan | winner row 3 : 1997 | neelima gurung | nadipur | winner | miss personality | winner row 4 : 1998 | sunita ranjit | lakeside | nan | nan | winner row 5 : 1999 | kripa gurung | tersapatti | 2nd runner up | miss photogenic | winner row 6 : 2004 | anita gurung | bajapatan | 2nd runner up | miss talent | miss paschimanchal 2003 row 7 : 2005 | chandra gurung | ghorepatan | nan | nan | nan row 8 : 2011 | madina begum | pokreli | nan | miss perseverance | nan row 9 : 2012 | dilasha gc | chindata | nan | nan | nan row 10 : 2013 | sipora gurung | mahendrapool | 3rd runner up | miss talent | nan row 11 : 2014 | rashmi adhikari | goripatan | tba | tba | winner
table_csv/204_172.csv
1
{ "column_index": [ 4, 4, 4, 4, 4, 4 ], "row_index": [ 2, 4, 5, 7, 9, 10 ] }
[ "who are all of the representatives?", "what were their placements in miss nepal?" ]
2
miss personality, miss photogenic, miss talent, miss perseverance, miss talent, tba
[ "Year", "Representative", "Hometown", "Placement in Miss Nepal", "Special awards at Miss Nepal", "Placement in Miss Pokhara" ]
what were their placements in miss nepal?
[ [ "1995", "Rita Gurung", "Pamee", "1st Runner Up", "nan", "Winner" ], [ "1996", "Binita Gurung", "Batulichor", "2nd Runner Up", "nan", "Winner" ], [ "1997", "Neelima Gurung", "Nadipur", "WINNER", "Miss Personality", "Winner" ], [ "1998", "Sunita Ranjit", "Lakeside", "nan", "nan", "Winner" ], [ "1999", "Kripa Gurung", "Tersapatti", "2nd Runner Up", "Miss Photogenic", "Winner" ], [ "2004", "Anita Gurung", "Bajapatan", "2nd Runner Up", "Miss Talent", "Miss Paschimanchal 2003" ], [ "2005", "Chandra Gurung", "Ghorepatan", "nan", "nan", "nan" ], [ "2011", "Madina Begum", "Pokreli", "nan", "Miss Perseverance", "nan" ], [ "2012", "Dilasha GC", "Chindata", "nan", "nan", "nan" ], [ "2013", "Sipora Gurung", "Mahendrapool", "3rd Runner Up", "Miss Talent", "nan" ], [ "2014", "Rashmi Adhikari", "Goripatan", "TBA", "TBA", "Winner" ] ]
[ "Miss Personality", "Miss Photogenic", "Miss Talent", "Miss Perseverance", "Miss Talent", "TBA" ]
what were their placements in miss nepal? || who are all of the representatives?
nt-5171
col : year | representative | hometown | placement in miss nepal | special awards at miss nepal | placement in miss pokhara row 1 : 1995 | rita gurung | pamee | 1st runner up | nan | winner row 2 : 1996 | binita gurung | batulichor | 2nd runner up | nan | winner row 3 : 1997 | neelima gurung | nadipur | winner | miss personality | winner row 4 : 1998 | sunita ranjit | lakeside | nan | nan | winner row 5 : 1999 | kripa gurung | tersapatti | 2nd runner up | miss photogenic | winner row 6 : 2004 | anita gurung | bajapatan | 2nd runner up | miss talent | miss paschimanchal 2003 row 7 : 2005 | chandra gurung | ghorepatan | nan | nan | nan row 8 : 2011 | madina begum | pokreli | nan | miss perseverance | nan row 9 : 2012 | dilasha gc | chindata | nan | nan | nan row 10 : 2013 | sipora gurung | mahendrapool | 3rd runner up | miss talent | nan row 11 : 2014 | rashmi adhikari | goripatan | tba | tba | winner
table_csv/204_172.csv
2
{ "column_index": [ 4, 4, 4, 4, 4, 4 ], "row_index": [ 2, 4, 5, 7, 9, 10 ] }
[ "who are all of the representatives?", "what were their placements in miss nepal?", "what about special awards?" ]
2
miss personality, miss photogenic, miss talent, miss perseverance, miss talent, tba
[ "Year", "Representative", "Hometown", "Placement in Miss Nepal", "Special awards at Miss Nepal", "Placement in Miss Pokhara" ]
what about special awards?
[ [ "1995", "Rita Gurung", "Pamee", "1st Runner Up", "nan", "Winner" ], [ "1996", "Binita Gurung", "Batulichor", "2nd Runner Up", "nan", "Winner" ], [ "1997", "Neelima Gurung", "Nadipur", "WINNER", "Miss Personality", "Winner" ], [ "1998", "Sunita Ranjit", "Lakeside", "nan", "nan", "Winner" ], [ "1999", "Kripa Gurung", "Tersapatti", "2nd Runner Up", "Miss Photogenic", "Winner" ], [ "2004", "Anita Gurung", "Bajapatan", "2nd Runner Up", "Miss Talent", "Miss Paschimanchal 2003" ], [ "2005", "Chandra Gurung", "Ghorepatan", "nan", "nan", "nan" ], [ "2011", "Madina Begum", "Pokreli", "nan", "Miss Perseverance", "nan" ], [ "2012", "Dilasha GC", "Chindata", "nan", "nan", "nan" ], [ "2013", "Sipora Gurung", "Mahendrapool", "3rd Runner Up", "Miss Talent", "nan" ], [ "2014", "Rashmi Adhikari", "Goripatan", "TBA", "TBA", "Winner" ] ]
[ "Miss Personality", "Miss Photogenic", "Miss Talent", "Miss Perseverance", "Miss Talent", "TBA" ]
what about special awards? || what were their placements in miss nepal? | who are all of the representatives?
nt-5171
col : year | representative | hometown | placement in miss nepal | special awards at miss nepal | placement in miss pokhara row 1 : 1995 | rita gurung | pamee | 1st runner up | nan | winner row 2 : 1996 | binita gurung | batulichor | 2nd runner up | nan | winner row 3 : 1997 | neelima gurung | nadipur | winner | miss personality | winner row 4 : 1998 | sunita ranjit | lakeside | nan | nan | winner row 5 : 1999 | kripa gurung | tersapatti | 2nd runner up | miss photogenic | winner row 6 : 2004 | anita gurung | bajapatan | 2nd runner up | miss talent | miss paschimanchal 2003 row 7 : 2005 | chandra gurung | ghorepatan | nan | nan | nan row 8 : 2011 | madina begum | pokreli | nan | miss perseverance | nan row 9 : 2012 | dilasha gc | chindata | nan | nan | nan row 10 : 2013 | sipora gurung | mahendrapool | 3rd runner up | miss talent | nan row 11 : 2014 | rashmi adhikari | goripatan | tba | tba | winner
table_csv/204_172.csv
3
{ "column_index": [ 1 ], "row_index": [ 7 ] }
[ "who are all of the representatives?", "what were their placements in miss nepal?", "what about special awards?", "which representative did not place in miss nepal, but did receive a special award?" ]
2
madina begum
[ "Year", "Representative", "Hometown", "Placement in Miss Nepal", "Special awards at Miss Nepal", "Placement in Miss Pokhara" ]
which representative did not place in miss nepal, but did receive a special award?
[ [ "1995", "Rita Gurung", "Pamee", "1st Runner Up", "nan", "Winner" ], [ "1996", "Binita Gurung", "Batulichor", "2nd Runner Up", "nan", "Winner" ], [ "1997", "Neelima Gurung", "Nadipur", "WINNER", "Miss Personality", "Winner" ], [ "1998", "Sunita Ranjit", "Lakeside", "nan", "nan", "Winner" ], [ "1999", "Kripa Gurung", "Tersapatti", "2nd Runner Up", "Miss Photogenic", "Winner" ], [ "2004", "Anita Gurung", "Bajapatan", "2nd Runner Up", "Miss Talent", "Miss Paschimanchal 2003" ], [ "2005", "Chandra Gurung", "Ghorepatan", "nan", "nan", "nan" ], [ "2011", "Madina Begum", "Pokreli", "nan", "Miss Perseverance", "nan" ], [ "2012", "Dilasha GC", "Chindata", "nan", "nan", "nan" ], [ "2013", "Sipora Gurung", "Mahendrapool", "3rd Runner Up", "Miss Talent", "nan" ], [ "2014", "Rashmi Adhikari", "Goripatan", "TBA", "TBA", "Winner" ] ]
[ "Madina Begum" ]
which representative did not place in miss nepal, but did receive a special award? || what about special awards? | what were their placements in miss nepal? | who are all of the representatives?
nt-12440
col : place | nation | 5 hoops | 3 balls, 2 ribbons | total row 1 : 1 | bulgaria | 19.800 (1) | 19.800 (1) | 39.6 row 2 : 2 | spain | 19.700 (3) | 19.700 (2) | 39.4 row 3 : 3 | belarus | 19.733 (2) | 19.600 (3) | 39.333 row 4 : 4 | russia | 19.600 (4) | 19.566 (4) | 39.166 row 5 : 5 | ukraine | 19.366 (5) | 15.500 (5) | 38.866 row 6 : 6 | japan | 19.166 (6) | 19.333 (7) | 38.499 row 7 : 7 | italy | 19.066 (7) | 19.400 (6) | 38.466 row 8 : 8 | hungary | 18.766 (8) | 19.166 (8) | 37.932
table_csv/204_979.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7 ] }
[ "what nations participated in the 1996 world rhythmic gymnastics championships?" ]
0
bulgaria, spain, belarus, russia, ukraine, japan, italy, hungary
[ "Place", "Nation", "5 Hoops", "3 Balls, 2 Ribbons", "Total" ]
what nations participated in the 1996 world rhythmic gymnastics championships?
[ [ "1", "Bulgaria", "19.800 (1)", "19.800 (1)", "39.6" ], [ "2", "Spain", "19.700 (3)", "19.700 (2)", "39.4" ], [ "3", "Belarus", "19.733 (2)", "19.600 (3)", "39.333" ], [ "4", "Russia", "19.600 (4)", "19.566 (4)", "39.166" ], [ "5", "Ukraine", "19.366 (5)", "15.500 (5)", "38.866" ], [ "6", "Japan", "19.166 (6)", "19.333 (7)", "38.499" ], [ "7", "Italy", "19.066 (7)", "19.400 (6)", "38.466" ], [ "8", "Hungary", "18.766 (8)", "19.166 (8)", "37.932" ] ]
[ "Bulgaria", "Spain", "Belarus", "Russia", "Ukraine", "Japan", "Italy", "Hungary" ]
what nations participated in the 1996 world rhythmic gymnastics championships? ||
nt-12440
col : place | nation | 5 hoops | 3 balls, 2 ribbons | total row 1 : 1 | bulgaria | 19.800 (1) | 19.800 (1) | 39.6 row 2 : 2 | spain | 19.700 (3) | 19.700 (2) | 39.4 row 3 : 3 | belarus | 19.733 (2) | 19.600 (3) | 39.333 row 4 : 4 | russia | 19.600 (4) | 19.566 (4) | 39.166 row 5 : 5 | ukraine | 19.366 (5) | 15.500 (5) | 38.866 row 6 : 6 | japan | 19.166 (6) | 19.333 (7) | 38.499 row 7 : 7 | italy | 19.066 (7) | 19.400 (6) | 38.466 row 8 : 8 | hungary | 18.766 (8) | 19.166 (8) | 37.932
table_csv/204_979.csv
1
{ "column_index": [ 4, 4, 4, 4, 4, 4, 4, 4 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7 ] }
[ "what nations participated in the 1996 world rhythmic gymnastics championships?", "what were the total scores achieved by these nations?" ]
0
39.600, 39.400, 39.333, 39.166, 38.866, 38.499, 38.466, 37.932
[ "Place", "Nation", "5 Hoops", "3 Balls, 2 Ribbons", "Total" ]
what were the total scores achieved by these nations?
[ [ "1", "Bulgaria", "19.800 (1)", "19.800 (1)", "39.6" ], [ "2", "Spain", "19.700 (3)", "19.700 (2)", "39.4" ], [ "3", "Belarus", "19.733 (2)", "19.600 (3)", "39.333" ], [ "4", "Russia", "19.600 (4)", "19.566 (4)", "39.166" ], [ "5", "Ukraine", "19.366 (5)", "15.500 (5)", "38.866" ], [ "6", "Japan", "19.166 (6)", "19.333 (7)", "38.499" ], [ "7", "Italy", "19.066 (7)", "19.400 (6)", "38.466" ], [ "8", "Hungary", "18.766 (8)", "19.166 (8)", "37.932" ] ]
[ "39.600", "39.400", "39.333", "39.166", "38.866", "38.499", "38.466", "37.932" ]
what were the total scores achieved by these nations? || what nations participated in the 1996 world rhythmic gymnastics championships?
nt-12440
col : place | nation | 5 hoops | 3 balls, 2 ribbons | total row 1 : 1 | bulgaria | 19.800 (1) | 19.800 (1) | 39.6 row 2 : 2 | spain | 19.700 (3) | 19.700 (2) | 39.4 row 3 : 3 | belarus | 19.733 (2) | 19.600 (3) | 39.333 row 4 : 4 | russia | 19.600 (4) | 19.566 (4) | 39.166 row 5 : 5 | ukraine | 19.366 (5) | 15.500 (5) | 38.866 row 6 : 6 | japan | 19.166 (6) | 19.333 (7) | 38.499 row 7 : 7 | italy | 19.066 (7) | 19.400 (6) | 38.466 row 8 : 8 | hungary | 18.766 (8) | 19.166 (8) | 37.932
table_csv/204_979.csv
2
{ "column_index": [ 4 ], "row_index": [ 0 ] }
[ "what nations participated in the 1996 world rhythmic gymnastics championships?", "what were the total scores achieved by these nations?", "which of these scores is the highest?" ]
0
39.600
[ "Place", "Nation", "5 Hoops", "3 Balls, 2 Ribbons", "Total" ]
which of these scores is the highest?
[ [ "1", "Bulgaria", "19.800 (1)", "19.800 (1)", "39.6" ], [ "2", "Spain", "19.700 (3)", "19.700 (2)", "39.4" ], [ "3", "Belarus", "19.733 (2)", "19.600 (3)", "39.333" ], [ "4", "Russia", "19.600 (4)", "19.566 (4)", "39.166" ], [ "5", "Ukraine", "19.366 (5)", "15.500 (5)", "38.866" ], [ "6", "Japan", "19.166 (6)", "19.333 (7)", "38.499" ], [ "7", "Italy", "19.066 (7)", "19.400 (6)", "38.466" ], [ "8", "Hungary", "18.766 (8)", "19.166 (8)", "37.932" ] ]
[ "39.600" ]
which of these scores is the highest? || what were the total scores achieved by these nations? | what nations participated in the 1996 world rhythmic gymnastics championships?
nt-12440
col : place | nation | 5 hoops | 3 balls, 2 ribbons | total row 1 : 1 | bulgaria | 19.800 (1) | 19.800 (1) | 39.6 row 2 : 2 | spain | 19.700 (3) | 19.700 (2) | 39.4 row 3 : 3 | belarus | 19.733 (2) | 19.600 (3) | 39.333 row 4 : 4 | russia | 19.600 (4) | 19.566 (4) | 39.166 row 5 : 5 | ukraine | 19.366 (5) | 15.500 (5) | 38.866 row 6 : 6 | japan | 19.166 (6) | 19.333 (7) | 38.499 row 7 : 7 | italy | 19.066 (7) | 19.400 (6) | 38.466 row 8 : 8 | hungary | 18.766 (8) | 19.166 (8) | 37.932
table_csv/204_979.csv
3
{ "column_index": [ 1 ], "row_index": [ 0 ] }
[ "what nations participated in the 1996 world rhythmic gymnastics championships?", "what were the total scores achieved by these nations?", "which of these scores is the highest?", "which nation achieved this score?" ]
0
bulgaria
[ "Place", "Nation", "5 Hoops", "3 Balls, 2 Ribbons", "Total" ]
which nation achieved this score?
[ [ "1", "Bulgaria", "19.800 (1)", "19.800 (1)", "39.6" ], [ "2", "Spain", "19.700 (3)", "19.700 (2)", "39.4" ], [ "3", "Belarus", "19.733 (2)", "19.600 (3)", "39.333" ], [ "4", "Russia", "19.600 (4)", "19.566 (4)", "39.166" ], [ "5", "Ukraine", "19.366 (5)", "15.500 (5)", "38.866" ], [ "6", "Japan", "19.166 (6)", "19.333 (7)", "38.499" ], [ "7", "Italy", "19.066 (7)", "19.400 (6)", "38.466" ], [ "8", "Hungary", "18.766 (8)", "19.166 (8)", "37.932" ] ]
[ "Bulgaria" ]
which nation achieved this score? || which of these scores is the highest? | what were the total scores achieved by these nations? | what nations participated in the 1996 world rhythmic gymnastics championships?
nt-12440
col : place | nation | 5 hoops | 3 balls, 2 ribbons | total row 1 : 1 | bulgaria | 19.800 (1) | 19.800 (1) | 39.6 row 2 : 2 | spain | 19.700 (3) | 19.700 (2) | 39.4 row 3 : 3 | belarus | 19.733 (2) | 19.600 (3) | 39.333 row 4 : 4 | russia | 19.600 (4) | 19.566 (4) | 39.166 row 5 : 5 | ukraine | 19.366 (5) | 15.500 (5) | 38.866 row 6 : 6 | japan | 19.166 (6) | 19.333 (7) | 38.499 row 7 : 7 | italy | 19.066 (7) | 19.400 (6) | 38.466 row 8 : 8 | hungary | 18.766 (8) | 19.166 (8) | 37.932
table_csv/204_979.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7 ] }
[ "which nations participated?" ]
1
bulgaria, spain, belarus, russia, ukraine, japan, italy, hungary
[ "Place", "Nation", "5 Hoops", "3 Balls, 2 Ribbons", "Total" ]
which nations participated?
[ [ "1", "Bulgaria", "19.800 (1)", "19.800 (1)", "39.6" ], [ "2", "Spain", "19.700 (3)", "19.700 (2)", "39.4" ], [ "3", "Belarus", "19.733 (2)", "19.600 (3)", "39.333" ], [ "4", "Russia", "19.600 (4)", "19.566 (4)", "39.166" ], [ "5", "Ukraine", "19.366 (5)", "15.500 (5)", "38.866" ], [ "6", "Japan", "19.166 (6)", "19.333 (7)", "38.499" ], [ "7", "Italy", "19.066 (7)", "19.400 (6)", "38.466" ], [ "8", "Hungary", "18.766 (8)", "19.166 (8)", "37.932" ] ]
[ "Bulgaria", "Spain", "Belarus", "Russia", "Ukraine", "Japan", "Italy", "Hungary" ]
which nations participated? ||
nt-12440
col : place | nation | 5 hoops | 3 balls, 2 ribbons | total row 1 : 1 | bulgaria | 19.800 (1) | 19.800 (1) | 39.6 row 2 : 2 | spain | 19.700 (3) | 19.700 (2) | 39.4 row 3 : 3 | belarus | 19.733 (2) | 19.600 (3) | 39.333 row 4 : 4 | russia | 19.600 (4) | 19.566 (4) | 39.166 row 5 : 5 | ukraine | 19.366 (5) | 15.500 (5) | 38.866 row 6 : 6 | japan | 19.166 (6) | 19.333 (7) | 38.499 row 7 : 7 | italy | 19.066 (7) | 19.400 (6) | 38.466 row 8 : 8 | hungary | 18.766 (8) | 19.166 (8) | 37.932
table_csv/204_979.csv
1
{ "column_index": [ 4, 4, 4, 4, 4, 4, 4, 4 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7 ] }
[ "which nations participated?", "what were their total scores?" ]
1
39.600, 39.400, 39.333, 39.166, 38.866, 38.499, 38.466, 37.932
[ "Place", "Nation", "5 Hoops", "3 Balls, 2 Ribbons", "Total" ]
what were their total scores?
[ [ "1", "Bulgaria", "19.800 (1)", "19.800 (1)", "39.6" ], [ "2", "Spain", "19.700 (3)", "19.700 (2)", "39.4" ], [ "3", "Belarus", "19.733 (2)", "19.600 (3)", "39.333" ], [ "4", "Russia", "19.600 (4)", "19.566 (4)", "39.166" ], [ "5", "Ukraine", "19.366 (5)", "15.500 (5)", "38.866" ], [ "6", "Japan", "19.166 (6)", "19.333 (7)", "38.499" ], [ "7", "Italy", "19.066 (7)", "19.400 (6)", "38.466" ], [ "8", "Hungary", "18.766 (8)", "19.166 (8)", "37.932" ] ]
[ "39.600", "39.400", "39.333", "39.166", "38.866", "38.499", "38.466", "37.932" ]
what were their total scores? || which nations participated?
nt-12440
col : place | nation | 5 hoops | 3 balls, 2 ribbons | total row 1 : 1 | bulgaria | 19.800 (1) | 19.800 (1) | 39.6 row 2 : 2 | spain | 19.700 (3) | 19.700 (2) | 39.4 row 3 : 3 | belarus | 19.733 (2) | 19.600 (3) | 39.333 row 4 : 4 | russia | 19.600 (4) | 19.566 (4) | 39.166 row 5 : 5 | ukraine | 19.366 (5) | 15.500 (5) | 38.866 row 6 : 6 | japan | 19.166 (6) | 19.333 (7) | 38.499 row 7 : 7 | italy | 19.066 (7) | 19.400 (6) | 38.466 row 8 : 8 | hungary | 18.766 (8) | 19.166 (8) | 37.932
table_csv/204_979.csv
2
{ "column_index": [ 1 ], "row_index": [ 0 ] }
[ "which nations participated?", "what were their total scores?", "and which nation scored the highest?" ]
1
bulgaria
[ "Place", "Nation", "5 Hoops", "3 Balls, 2 Ribbons", "Total" ]
and which nation scored the highest?
[ [ "1", "Bulgaria", "19.800 (1)", "19.800 (1)", "39.6" ], [ "2", "Spain", "19.700 (3)", "19.700 (2)", "39.4" ], [ "3", "Belarus", "19.733 (2)", "19.600 (3)", "39.333" ], [ "4", "Russia", "19.600 (4)", "19.566 (4)", "39.166" ], [ "5", "Ukraine", "19.366 (5)", "15.500 (5)", "38.866" ], [ "6", "Japan", "19.166 (6)", "19.333 (7)", "38.499" ], [ "7", "Italy", "19.066 (7)", "19.400 (6)", "38.466" ], [ "8", "Hungary", "18.766 (8)", "19.166 (8)", "37.932" ] ]
[ "Bulgaria" ]
and which nation scored the highest? || what were their total scores? | which nations participated?
nt-12440
col : place | nation | 5 hoops | 3 balls, 2 ribbons | total row 1 : 1 | bulgaria | 19.800 (1) | 19.800 (1) | 39.6 row 2 : 2 | spain | 19.700 (3) | 19.700 (2) | 39.4 row 3 : 3 | belarus | 19.733 (2) | 19.600 (3) | 39.333 row 4 : 4 | russia | 19.600 (4) | 19.566 (4) | 39.166 row 5 : 5 | ukraine | 19.366 (5) | 15.500 (5) | 38.866 row 6 : 6 | japan | 19.166 (6) | 19.333 (7) | 38.499 row 7 : 7 | italy | 19.066 (7) | 19.400 (6) | 38.466 row 8 : 8 | hungary | 18.766 (8) | 19.166 (8) | 37.932
table_csv/204_979.csv
0
{ "column_index": [ 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4 ] }
[ "which countries are the top five scoring countries?" ]
2
bulgaria, spain, belarus, russia, ukraine
[ "Place", "Nation", "5 Hoops", "3 Balls, 2 Ribbons", "Total" ]
which countries are the top five scoring countries?
[ [ "1", "Bulgaria", "19.800 (1)", "19.800 (1)", "39.6" ], [ "2", "Spain", "19.700 (3)", "19.700 (2)", "39.4" ], [ "3", "Belarus", "19.733 (2)", "19.600 (3)", "39.333" ], [ "4", "Russia", "19.600 (4)", "19.566 (4)", "39.166" ], [ "5", "Ukraine", "19.366 (5)", "15.500 (5)", "38.866" ], [ "6", "Japan", "19.166 (6)", "19.333 (7)", "38.499" ], [ "7", "Italy", "19.066 (7)", "19.400 (6)", "38.466" ], [ "8", "Hungary", "18.766 (8)", "19.166 (8)", "37.932" ] ]
[ "Bulgaria", "Spain", "Belarus", "Russia", "Ukraine" ]
which countries are the top five scoring countries? ||
nt-12440
col : place | nation | 5 hoops | 3 balls, 2 ribbons | total row 1 : 1 | bulgaria | 19.800 (1) | 19.800 (1) | 39.6 row 2 : 2 | spain | 19.700 (3) | 19.700 (2) | 39.4 row 3 : 3 | belarus | 19.733 (2) | 19.600 (3) | 39.333 row 4 : 4 | russia | 19.600 (4) | 19.566 (4) | 39.166 row 5 : 5 | ukraine | 19.366 (5) | 15.500 (5) | 38.866 row 6 : 6 | japan | 19.166 (6) | 19.333 (7) | 38.499 row 7 : 7 | italy | 19.066 (7) | 19.400 (6) | 38.466 row 8 : 8 | hungary | 18.766 (8) | 19.166 (8) | 37.932
table_csv/204_979.csv
1
{ "column_index": [ 1 ], "row_index": [ 0 ] }
[ "which countries are the top five scoring countries?", "of the nations listed above, which one scored the most points?" ]
2
bulgaria
[ "Place", "Nation", "5 Hoops", "3 Balls, 2 Ribbons", "Total" ]
of the nations listed above, which one scored the most points?
[ [ "1", "Bulgaria", "19.800 (1)", "19.800 (1)", "39.6" ], [ "2", "Spain", "19.700 (3)", "19.700 (2)", "39.4" ], [ "3", "Belarus", "19.733 (2)", "19.600 (3)", "39.333" ], [ "4", "Russia", "19.600 (4)", "19.566 (4)", "39.166" ], [ "5", "Ukraine", "19.366 (5)", "15.500 (5)", "38.866" ], [ "6", "Japan", "19.166 (6)", "19.333 (7)", "38.499" ], [ "7", "Italy", "19.066 (7)", "19.400 (6)", "38.466" ], [ "8", "Hungary", "18.766 (8)", "19.166 (8)", "37.932" ] ]
[ "Bulgaria" ]
of the nations listed above, which one scored the most points? || which countries are the top five scoring countries?
nt-12445
col : outcome | no. | date | tournament | surface | opponent in the final | score row 1 : runner-up | 1.0 | 2 september 2001 | mostar | clay | adriana basaric | 4-6, 3-6 row 2 : winner | 1.0 | 27 january 2002 | courmayeur | hard | stefanie weis | 4-6, 7-6(7-3), 6-4 row 3 : winner | 2.0 | 17 february 2002 | bergamo | hard | rita degli-esposti | 6-1, 6-2 row 4 : runner-up | 2.0 | 31 march 2002 | rome - parioli | clay | dinara safina | 7-6(7-3), 2-6, 3-6 row 5 : runner-up | 3.0 | 23 june 2002 | gorizia | clay | ainhoa goni-blanco | 6-7(4-7), 1-6 row 6 : runner-up | 4.0 | 11 august 2002 | rimini | clay | laurence andretto | 5-7, 4-6 row 7 : winner | 3.0 | 26 january 2003 | grenoble | hard | sophie lefevre | 7-5, 7-5 row 8 : winner | 4.0 | 16 february 2003 | southampton | hard | magdalena zdenovcova | 6-1, 3-0, ret. row 9 : winner | 5.0 | 23 february 2003 | redbridge | hard | olga barabanschikova | 6-3, 6-2 row 10 : winner | 6.0 | 23 march 2003 | castellon | clay | ludmila cervanova | 6-3, 6-3 row 11 : winner | 7.0 | 2 november 2003 | poitiers | hard | roberta vinci | 6-4, 7-5 row 12 : winner | 8.0 | 1 march 2009 | biberach | hard | kirsten flipkens | 6-1, 6-2 row 13 : winner | 9.0 | 11 april 2009 | torhout | hard | viktoriya kutuzova | 6-1, 6-4 row 14 : winner | 10.0 | 11 april 2009 | mestre | hard | yvonne meusburger | 2-6, 6-2, 6-4
table_csv/203_220.csv
0
{ "column_index": [ 3, 3, 3, 3, 3 ], "row_index": [ 6, 7, 8, 9, 10 ] }
[ "which tournaments did karoline sprem compete in in 2003?" ]
0
grenoble, southampton, redbridge, castellon, poitiers
[ "Outcome", "No.", "Date", "Tournament", "Surface", "Opponent in the final", "Score" ]
which tournaments did karoline sprem compete in in 2003?
[ [ "Runner-up", "1.0", "2 September 2001", "Mostar", "Clay", "Adriana Basaric", "4-6, 3-6" ], [ "Winner", "1.0", "27 January 2002", "Courmayeur", "Hard", "Stefanie Weis", "4-6, 7-6(7-3), 6-4" ], [ "Winner", "2.0", "17 February 2002", "Bergamo", "Hard", "Rita Degli-Esposti", "6-1, 6-2" ], [ "Runner-up", "2.0", "31 March 2002", "Rome - Parioli", "Clay", "Dinara Safina", "7-6(7-3), 2-6, 3-6" ], [ "Runner-up", "3.0", "23 June 2002", "Gorizia", "Clay", "Ainhoa Goni-Blanco", "6-7(4-7), 1-6" ], [ "Runner-up", "4.0", "11 August 2002", "Rimini", "Clay", "Laurence Andretto", "5-7, 4-6" ], [ "Winner", "3.0", "26 January 2003", "Grenoble", "Hard", "Sophie Lefevre", "7-5, 7-5" ], [ "Winner", "4.0", "16 February 2003", "Southampton", "Hard", "Magdalena Zdenovcova", "6-1, 3-0, ret." ], [ "Winner", "5.0", "23 February 2003", "Redbridge", "Hard", "Olga Barabanschikova", "6-3, 6-2" ], [ "Winner", "6.0", "23 March 2003", "Castellon", "Clay", "Ludmila Cervanova", "6-3, 6-3" ], [ "Winner", "7.0", "2 November 2003", "Poitiers", "Hard", "Roberta Vinci", "6-4, 7-5" ], [ "Winner", "8.0", "1 March 2009", "Biberach", "Hard", "Kirsten Flipkens", "6-1, 6-2" ], [ "Winner", "9.0", "11 April 2009", "Torhout", "Hard", "Viktoriya Kutuzova", "6-1, 6-4" ], [ "Winner", "10.0", "11 April 2009", "Mestre", "Hard", "Yvonne Meusburger", "2-6, 6-2, 6-4" ] ]
[ "Grenoble", "Southampton", "Redbridge", "Castellon", "Poitiers" ]
which tournaments did karoline sprem compete in in 2003? ||
nt-12445
col : outcome | no. | date | tournament | surface | opponent in the final | score row 1 : runner-up | 1.0 | 2 september 2001 | mostar | clay | adriana basaric | 4-6, 3-6 row 2 : winner | 1.0 | 27 january 2002 | courmayeur | hard | stefanie weis | 4-6, 7-6(7-3), 6-4 row 3 : winner | 2.0 | 17 february 2002 | bergamo | hard | rita degli-esposti | 6-1, 6-2 row 4 : runner-up | 2.0 | 31 march 2002 | rome - parioli | clay | dinara safina | 7-6(7-3), 2-6, 3-6 row 5 : runner-up | 3.0 | 23 june 2002 | gorizia | clay | ainhoa goni-blanco | 6-7(4-7), 1-6 row 6 : runner-up | 4.0 | 11 august 2002 | rimini | clay | laurence andretto | 5-7, 4-6 row 7 : winner | 3.0 | 26 january 2003 | grenoble | hard | sophie lefevre | 7-5, 7-5 row 8 : winner | 4.0 | 16 february 2003 | southampton | hard | magdalena zdenovcova | 6-1, 3-0, ret. row 9 : winner | 5.0 | 23 february 2003 | redbridge | hard | olga barabanschikova | 6-3, 6-2 row 10 : winner | 6.0 | 23 march 2003 | castellon | clay | ludmila cervanova | 6-3, 6-3 row 11 : winner | 7.0 | 2 november 2003 | poitiers | hard | roberta vinci | 6-4, 7-5 row 12 : winner | 8.0 | 1 march 2009 | biberach | hard | kirsten flipkens | 6-1, 6-2 row 13 : winner | 9.0 | 11 april 2009 | torhout | hard | viktoriya kutuzova | 6-1, 6-4 row 14 : winner | 10.0 | 11 april 2009 | mestre | hard | yvonne meusburger | 2-6, 6-2, 6-4
table_csv/203_220.csv
1
{ "column_index": [ 3, 3, 3, 3, 3 ], "row_index": [ 6, 7, 8, 9, 10 ] }
[ "which tournaments did karoline sprem compete in in 2003?", "which tournaments did karolina sprem win in 2003?" ]
0
grenoble, southampton, redbridge, castellon, poitiers
[ "Outcome", "No.", "Date", "Tournament", "Surface", "Opponent in the final", "Score" ]
which tournaments did karolina sprem win in 2003?
[ [ "Runner-up", "1.0", "2 September 2001", "Mostar", "Clay", "Adriana Basaric", "4-6, 3-6" ], [ "Winner", "1.0", "27 January 2002", "Courmayeur", "Hard", "Stefanie Weis", "4-6, 7-6(7-3), 6-4" ], [ "Winner", "2.0", "17 February 2002", "Bergamo", "Hard", "Rita Degli-Esposti", "6-1, 6-2" ], [ "Runner-up", "2.0", "31 March 2002", "Rome - Parioli", "Clay", "Dinara Safina", "7-6(7-3), 2-6, 3-6" ], [ "Runner-up", "3.0", "23 June 2002", "Gorizia", "Clay", "Ainhoa Goni-Blanco", "6-7(4-7), 1-6" ], [ "Runner-up", "4.0", "11 August 2002", "Rimini", "Clay", "Laurence Andretto", "5-7, 4-6" ], [ "Winner", "3.0", "26 January 2003", "Grenoble", "Hard", "Sophie Lefevre", "7-5, 7-5" ], [ "Winner", "4.0", "16 February 2003", "Southampton", "Hard", "Magdalena Zdenovcova", "6-1, 3-0, ret." ], [ "Winner", "5.0", "23 February 2003", "Redbridge", "Hard", "Olga Barabanschikova", "6-3, 6-2" ], [ "Winner", "6.0", "23 March 2003", "Castellon", "Clay", "Ludmila Cervanova", "6-3, 6-3" ], [ "Winner", "7.0", "2 November 2003", "Poitiers", "Hard", "Roberta Vinci", "6-4, 7-5" ], [ "Winner", "8.0", "1 March 2009", "Biberach", "Hard", "Kirsten Flipkens", "6-1, 6-2" ], [ "Winner", "9.0", "11 April 2009", "Torhout", "Hard", "Viktoriya Kutuzova", "6-1, 6-4" ], [ "Winner", "10.0", "11 April 2009", "Mestre", "Hard", "Yvonne Meusburger", "2-6, 6-2, 6-4" ] ]
[ "Grenoble", "Southampton", "Redbridge", "Castellon", "Poitiers" ]
which tournaments did karolina sprem win in 2003? || which tournaments did karoline sprem compete in in 2003?
nt-12445
col : outcome | no. | date | tournament | surface | opponent in the final | score row 1 : runner-up | 1.0 | 2 september 2001 | mostar | clay | adriana basaric | 4-6, 3-6 row 2 : winner | 1.0 | 27 january 2002 | courmayeur | hard | stefanie weis | 4-6, 7-6(7-3), 6-4 row 3 : winner | 2.0 | 17 february 2002 | bergamo | hard | rita degli-esposti | 6-1, 6-2 row 4 : runner-up | 2.0 | 31 march 2002 | rome - parioli | clay | dinara safina | 7-6(7-3), 2-6, 3-6 row 5 : runner-up | 3.0 | 23 june 2002 | gorizia | clay | ainhoa goni-blanco | 6-7(4-7), 1-6 row 6 : runner-up | 4.0 | 11 august 2002 | rimini | clay | laurence andretto | 5-7, 4-6 row 7 : winner | 3.0 | 26 january 2003 | grenoble | hard | sophie lefevre | 7-5, 7-5 row 8 : winner | 4.0 | 16 february 2003 | southampton | hard | magdalena zdenovcova | 6-1, 3-0, ret. row 9 : winner | 5.0 | 23 february 2003 | redbridge | hard | olga barabanschikova | 6-3, 6-2 row 10 : winner | 6.0 | 23 march 2003 | castellon | clay | ludmila cervanova | 6-3, 6-3 row 11 : winner | 7.0 | 2 november 2003 | poitiers | hard | roberta vinci | 6-4, 7-5 row 12 : winner | 8.0 | 1 march 2009 | biberach | hard | kirsten flipkens | 6-1, 6-2 row 13 : winner | 9.0 | 11 april 2009 | torhout | hard | viktoriya kutuzova | 6-1, 6-4 row 14 : winner | 10.0 | 11 april 2009 | mestre | hard | yvonne meusburger | 2-6, 6-2, 6-4
table_csv/203_220.csv
2
{ "column_index": [ 5, 5, 5, 5, 5 ], "row_index": [ 6, 7, 8, 9, 10 ] }
[ "which tournaments did karoline sprem compete in in 2003?", "which tournaments did karolina sprem win in 2003?", "who were her final opponents?" ]
0
sophie lefevre, magdalena zdenovcova, olga barabanschikova, ludmila cervanova, roberta vinci
[ "Outcome", "No.", "Date", "Tournament", "Surface", "Opponent in the final", "Score" ]
who were her final opponents?
[ [ "Runner-up", "1.0", "2 September 2001", "Mostar", "Clay", "Adriana Basaric", "4-6, 3-6" ], [ "Winner", "1.0", "27 January 2002", "Courmayeur", "Hard", "Stefanie Weis", "4-6, 7-6(7-3), 6-4" ], [ "Winner", "2.0", "17 February 2002", "Bergamo", "Hard", "Rita Degli-Esposti", "6-1, 6-2" ], [ "Runner-up", "2.0", "31 March 2002", "Rome - Parioli", "Clay", "Dinara Safina", "7-6(7-3), 2-6, 3-6" ], [ "Runner-up", "3.0", "23 June 2002", "Gorizia", "Clay", "Ainhoa Goni-Blanco", "6-7(4-7), 1-6" ], [ "Runner-up", "4.0", "11 August 2002", "Rimini", "Clay", "Laurence Andretto", "5-7, 4-6" ], [ "Winner", "3.0", "26 January 2003", "Grenoble", "Hard", "Sophie Lefevre", "7-5, 7-5" ], [ "Winner", "4.0", "16 February 2003", "Southampton", "Hard", "Magdalena Zdenovcova", "6-1, 3-0, ret." ], [ "Winner", "5.0", "23 February 2003", "Redbridge", "Hard", "Olga Barabanschikova", "6-3, 6-2" ], [ "Winner", "6.0", "23 March 2003", "Castellon", "Clay", "Ludmila Cervanova", "6-3, 6-3" ], [ "Winner", "7.0", "2 November 2003", "Poitiers", "Hard", "Roberta Vinci", "6-4, 7-5" ], [ "Winner", "8.0", "1 March 2009", "Biberach", "Hard", "Kirsten Flipkens", "6-1, 6-2" ], [ "Winner", "9.0", "11 April 2009", "Torhout", "Hard", "Viktoriya Kutuzova", "6-1, 6-4" ], [ "Winner", "10.0", "11 April 2009", "Mestre", "Hard", "Yvonne Meusburger", "2-6, 6-2, 6-4" ] ]
[ "Sophie Lefevre", "Magdalena Zdenovcova", "Olga Barabanschikova", "Ludmila Cervanova", "Roberta Vinci" ]
who were her final opponents? || which tournaments did karolina sprem win in 2003? | which tournaments did karoline sprem compete in in 2003?
nt-12445
col : outcome | no. | date | tournament | surface | opponent in the final | score row 1 : runner-up | 1.0 | 2 september 2001 | mostar | clay | adriana basaric | 4-6, 3-6 row 2 : winner | 1.0 | 27 january 2002 | courmayeur | hard | stefanie weis | 4-6, 7-6(7-3), 6-4 row 3 : winner | 2.0 | 17 february 2002 | bergamo | hard | rita degli-esposti | 6-1, 6-2 row 4 : runner-up | 2.0 | 31 march 2002 | rome - parioli | clay | dinara safina | 7-6(7-3), 2-6, 3-6 row 5 : runner-up | 3.0 | 23 june 2002 | gorizia | clay | ainhoa goni-blanco | 6-7(4-7), 1-6 row 6 : runner-up | 4.0 | 11 august 2002 | rimini | clay | laurence andretto | 5-7, 4-6 row 7 : winner | 3.0 | 26 january 2003 | grenoble | hard | sophie lefevre | 7-5, 7-5 row 8 : winner | 4.0 | 16 february 2003 | southampton | hard | magdalena zdenovcova | 6-1, 3-0, ret. row 9 : winner | 5.0 | 23 february 2003 | redbridge | hard | olga barabanschikova | 6-3, 6-2 row 10 : winner | 6.0 | 23 march 2003 | castellon | clay | ludmila cervanova | 6-3, 6-3 row 11 : winner | 7.0 | 2 november 2003 | poitiers | hard | roberta vinci | 6-4, 7-5 row 12 : winner | 8.0 | 1 march 2009 | biberach | hard | kirsten flipkens | 6-1, 6-2 row 13 : winner | 9.0 | 11 april 2009 | torhout | hard | viktoriya kutuzova | 6-1, 6-4 row 14 : winner | 10.0 | 11 april 2009 | mestre | hard | yvonne meusburger | 2-6, 6-2, 6-4
table_csv/203_220.csv
3
{ "column_index": [ 5, 5, 5, 5, 5 ], "row_index": [ 6, 7, 8, 9, 10 ] }
[ "which tournaments did karoline sprem compete in in 2003?", "which tournaments did karolina sprem win in 2003?", "who were her final opponents?", "which of her final opponents did she beat?" ]
0
sophie lefevre, magdalena zdenovcova, olga barabanschikova, ludmila cervanova, roberta vinci
[ "Outcome", "No.", "Date", "Tournament", "Surface", "Opponent in the final", "Score" ]
which of her final opponents did she beat?
[ [ "Runner-up", "1.0", "2 September 2001", "Mostar", "Clay", "Adriana Basaric", "4-6, 3-6" ], [ "Winner", "1.0", "27 January 2002", "Courmayeur", "Hard", "Stefanie Weis", "4-6, 7-6(7-3), 6-4" ], [ "Winner", "2.0", "17 February 2002", "Bergamo", "Hard", "Rita Degli-Esposti", "6-1, 6-2" ], [ "Runner-up", "2.0", "31 March 2002", "Rome - Parioli", "Clay", "Dinara Safina", "7-6(7-3), 2-6, 3-6" ], [ "Runner-up", "3.0", "23 June 2002", "Gorizia", "Clay", "Ainhoa Goni-Blanco", "6-7(4-7), 1-6" ], [ "Runner-up", "4.0", "11 August 2002", "Rimini", "Clay", "Laurence Andretto", "5-7, 4-6" ], [ "Winner", "3.0", "26 January 2003", "Grenoble", "Hard", "Sophie Lefevre", "7-5, 7-5" ], [ "Winner", "4.0", "16 February 2003", "Southampton", "Hard", "Magdalena Zdenovcova", "6-1, 3-0, ret." ], [ "Winner", "5.0", "23 February 2003", "Redbridge", "Hard", "Olga Barabanschikova", "6-3, 6-2" ], [ "Winner", "6.0", "23 March 2003", "Castellon", "Clay", "Ludmila Cervanova", "6-3, 6-3" ], [ "Winner", "7.0", "2 November 2003", "Poitiers", "Hard", "Roberta Vinci", "6-4, 7-5" ], [ "Winner", "8.0", "1 March 2009", "Biberach", "Hard", "Kirsten Flipkens", "6-1, 6-2" ], [ "Winner", "9.0", "11 April 2009", "Torhout", "Hard", "Viktoriya Kutuzova", "6-1, 6-4" ], [ "Winner", "10.0", "11 April 2009", "Mestre", "Hard", "Yvonne Meusburger", "2-6, 6-2, 6-4" ] ]
[ "Sophie Lefevre", "Magdalena Zdenovcova", "Olga Barabanschikova", "Ludmila Cervanova", "Roberta Vinci" ]
which of her final opponents did she beat? || who were her final opponents? | which tournaments did karolina sprem win in 2003? | which tournaments did karoline sprem compete in in 2003?
nt-12445
col : outcome | no. | date | tournament | surface | opponent in the final | score row 1 : runner-up | 1.0 | 2 september 2001 | mostar | clay | adriana basaric | 4-6, 3-6 row 2 : winner | 1.0 | 27 january 2002 | courmayeur | hard | stefanie weis | 4-6, 7-6(7-3), 6-4 row 3 : winner | 2.0 | 17 february 2002 | bergamo | hard | rita degli-esposti | 6-1, 6-2 row 4 : runner-up | 2.0 | 31 march 2002 | rome - parioli | clay | dinara safina | 7-6(7-3), 2-6, 3-6 row 5 : runner-up | 3.0 | 23 june 2002 | gorizia | clay | ainhoa goni-blanco | 6-7(4-7), 1-6 row 6 : runner-up | 4.0 | 11 august 2002 | rimini | clay | laurence andretto | 5-7, 4-6 row 7 : winner | 3.0 | 26 january 2003 | grenoble | hard | sophie lefevre | 7-5, 7-5 row 8 : winner | 4.0 | 16 february 2003 | southampton | hard | magdalena zdenovcova | 6-1, 3-0, ret. row 9 : winner | 5.0 | 23 february 2003 | redbridge | hard | olga barabanschikova | 6-3, 6-2 row 10 : winner | 6.0 | 23 march 2003 | castellon | clay | ludmila cervanova | 6-3, 6-3 row 11 : winner | 7.0 | 2 november 2003 | poitiers | hard | roberta vinci | 6-4, 7-5 row 12 : winner | 8.0 | 1 march 2009 | biberach | hard | kirsten flipkens | 6-1, 6-2 row 13 : winner | 9.0 | 11 april 2009 | torhout | hard | viktoriya kutuzova | 6-1, 6-4 row 14 : winner | 10.0 | 11 april 2009 | mestre | hard | yvonne meusburger | 2-6, 6-2, 6-4
table_csv/203_220.csv
4
{ "column_index": [ 5 ], "row_index": [ 6 ] }
[ "which tournaments did karoline sprem compete in in 2003?", "which tournaments did karolina sprem win in 2003?", "who were her final opponents?", "which of her final opponents did she beat?", "which of these opponents were french?" ]
0
sophie lefevre
[ "Outcome", "No.", "Date", "Tournament", "Surface", "Opponent in the final", "Score" ]
which of these opponents were french?
[ [ "Runner-up", "1.0", "2 September 2001", "Mostar", "Clay", "Adriana Basaric", "4-6, 3-6" ], [ "Winner", "1.0", "27 January 2002", "Courmayeur", "Hard", "Stefanie Weis", "4-6, 7-6(7-3), 6-4" ], [ "Winner", "2.0", "17 February 2002", "Bergamo", "Hard", "Rita Degli-Esposti", "6-1, 6-2" ], [ "Runner-up", "2.0", "31 March 2002", "Rome - Parioli", "Clay", "Dinara Safina", "7-6(7-3), 2-6, 3-6" ], [ "Runner-up", "3.0", "23 June 2002", "Gorizia", "Clay", "Ainhoa Goni-Blanco", "6-7(4-7), 1-6" ], [ "Runner-up", "4.0", "11 August 2002", "Rimini", "Clay", "Laurence Andretto", "5-7, 4-6" ], [ "Winner", "3.0", "26 January 2003", "Grenoble", "Hard", "Sophie Lefevre", "7-5, 7-5" ], [ "Winner", "4.0", "16 February 2003", "Southampton", "Hard", "Magdalena Zdenovcova", "6-1, 3-0, ret." ], [ "Winner", "5.0", "23 February 2003", "Redbridge", "Hard", "Olga Barabanschikova", "6-3, 6-2" ], [ "Winner", "6.0", "23 March 2003", "Castellon", "Clay", "Ludmila Cervanova", "6-3, 6-3" ], [ "Winner", "7.0", "2 November 2003", "Poitiers", "Hard", "Roberta Vinci", "6-4, 7-5" ], [ "Winner", "8.0", "1 March 2009", "Biberach", "Hard", "Kirsten Flipkens", "6-1, 6-2" ], [ "Winner", "9.0", "11 April 2009", "Torhout", "Hard", "Viktoriya Kutuzova", "6-1, 6-4" ], [ "Winner", "10.0", "11 April 2009", "Mestre", "Hard", "Yvonne Meusburger", "2-6, 6-2, 6-4" ] ]
[ "Sophie Lefevre" ]
which of these opponents were french? || which of her final opponents did she beat? | who were her final opponents? | which tournaments did karolina sprem win in 2003? | which tournaments did karoline sprem compete in in 2003?
nt-12445
col : outcome | no. | date | tournament | surface | opponent in the final | score row 1 : runner-up | 1.0 | 2 september 2001 | mostar | clay | adriana basaric | 4-6, 3-6 row 2 : winner | 1.0 | 27 january 2002 | courmayeur | hard | stefanie weis | 4-6, 7-6(7-3), 6-4 row 3 : winner | 2.0 | 17 february 2002 | bergamo | hard | rita degli-esposti | 6-1, 6-2 row 4 : runner-up | 2.0 | 31 march 2002 | rome - parioli | clay | dinara safina | 7-6(7-3), 2-6, 3-6 row 5 : runner-up | 3.0 | 23 june 2002 | gorizia | clay | ainhoa goni-blanco | 6-7(4-7), 1-6 row 6 : runner-up | 4.0 | 11 august 2002 | rimini | clay | laurence andretto | 5-7, 4-6 row 7 : winner | 3.0 | 26 january 2003 | grenoble | hard | sophie lefevre | 7-5, 7-5 row 8 : winner | 4.0 | 16 february 2003 | southampton | hard | magdalena zdenovcova | 6-1, 3-0, ret. row 9 : winner | 5.0 | 23 february 2003 | redbridge | hard | olga barabanschikova | 6-3, 6-2 row 10 : winner | 6.0 | 23 march 2003 | castellon | clay | ludmila cervanova | 6-3, 6-3 row 11 : winner | 7.0 | 2 november 2003 | poitiers | hard | roberta vinci | 6-4, 7-5 row 12 : winner | 8.0 | 1 march 2009 | biberach | hard | kirsten flipkens | 6-1, 6-2 row 13 : winner | 9.0 | 11 april 2009 | torhout | hard | viktoriya kutuzova | 6-1, 6-4 row 14 : winner | 10.0 | 11 april 2009 | mestre | hard | yvonne meusburger | 2-6, 6-2, 6-4
table_csv/203_220.csv
0
{ "column_index": [ 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13 ] }
[ "who are all the players?" ]
1
adriana basaric, stefanie weis, rita degli-esposti, dinara safina, ainhoa goni-blanco, laurence andretto, sophie lefevre, magdalena zdenovcova, olga barabanschikova, ludmila cervanova, roberta vinci, kirsten flipkens, viktoriya kutuzova, yvonne meusburger
[ "Outcome", "No.", "Date", "Tournament", "Surface", "Opponent in the final", "Score" ]
who are all the players?
[ [ "Runner-up", "1.0", "2 September 2001", "Mostar", "Clay", "Adriana Basaric", "4-6, 3-6" ], [ "Winner", "1.0", "27 January 2002", "Courmayeur", "Hard", "Stefanie Weis", "4-6, 7-6(7-3), 6-4" ], [ "Winner", "2.0", "17 February 2002", "Bergamo", "Hard", "Rita Degli-Esposti", "6-1, 6-2" ], [ "Runner-up", "2.0", "31 March 2002", "Rome - Parioli", "Clay", "Dinara Safina", "7-6(7-3), 2-6, 3-6" ], [ "Runner-up", "3.0", "23 June 2002", "Gorizia", "Clay", "Ainhoa Goni-Blanco", "6-7(4-7), 1-6" ], [ "Runner-up", "4.0", "11 August 2002", "Rimini", "Clay", "Laurence Andretto", "5-7, 4-6" ], [ "Winner", "3.0", "26 January 2003", "Grenoble", "Hard", "Sophie Lefevre", "7-5, 7-5" ], [ "Winner", "4.0", "16 February 2003", "Southampton", "Hard", "Magdalena Zdenovcova", "6-1, 3-0, ret." ], [ "Winner", "5.0", "23 February 2003", "Redbridge", "Hard", "Olga Barabanschikova", "6-3, 6-2" ], [ "Winner", "6.0", "23 March 2003", "Castellon", "Clay", "Ludmila Cervanova", "6-3, 6-3" ], [ "Winner", "7.0", "2 November 2003", "Poitiers", "Hard", "Roberta Vinci", "6-4, 7-5" ], [ "Winner", "8.0", "1 March 2009", "Biberach", "Hard", "Kirsten Flipkens", "6-1, 6-2" ], [ "Winner", "9.0", "11 April 2009", "Torhout", "Hard", "Viktoriya Kutuzova", "6-1, 6-4" ], [ "Winner", "10.0", "11 April 2009", "Mestre", "Hard", "Yvonne Meusburger", "2-6, 6-2, 6-4" ] ]
[ "Adriana Basaric", "Stefanie Weis", "Rita Degli-Esposti", "Dinara Safina", "Ainhoa Goni-Blanco", "Laurence Andretto", "Sophie Lefevre", "Magdalena Zdenovcova", "Olga Barabanschikova", "Ludmila Cervanova", "Roberta Vinci", "Kirsten Flipkens", "Viktoriya Kutuzova", "Yvonne Meusburger" ]
who are all the players? ||
nt-12445
col : outcome | no. | date | tournament | surface | opponent in the final | score row 1 : runner-up | 1.0 | 2 september 2001 | mostar | clay | adriana basaric | 4-6, 3-6 row 2 : winner | 1.0 | 27 january 2002 | courmayeur | hard | stefanie weis | 4-6, 7-6(7-3), 6-4 row 3 : winner | 2.0 | 17 february 2002 | bergamo | hard | rita degli-esposti | 6-1, 6-2 row 4 : runner-up | 2.0 | 31 march 2002 | rome - parioli | clay | dinara safina | 7-6(7-3), 2-6, 3-6 row 5 : runner-up | 3.0 | 23 june 2002 | gorizia | clay | ainhoa goni-blanco | 6-7(4-7), 1-6 row 6 : runner-up | 4.0 | 11 august 2002 | rimini | clay | laurence andretto | 5-7, 4-6 row 7 : winner | 3.0 | 26 january 2003 | grenoble | hard | sophie lefevre | 7-5, 7-5 row 8 : winner | 4.0 | 16 february 2003 | southampton | hard | magdalena zdenovcova | 6-1, 3-0, ret. row 9 : winner | 5.0 | 23 february 2003 | redbridge | hard | olga barabanschikova | 6-3, 6-2 row 10 : winner | 6.0 | 23 march 2003 | castellon | clay | ludmila cervanova | 6-3, 6-3 row 11 : winner | 7.0 | 2 november 2003 | poitiers | hard | roberta vinci | 6-4, 7-5 row 12 : winner | 8.0 | 1 march 2009 | biberach | hard | kirsten flipkens | 6-1, 6-2 row 13 : winner | 9.0 | 11 april 2009 | torhout | hard | viktoriya kutuzova | 6-1, 6-4 row 14 : winner | 10.0 | 11 april 2009 | mestre | hard | yvonne meusburger | 2-6, 6-2, 6-4
table_csv/203_220.csv
1
{ "column_index": [ 5, 5, 5, 5, 5, 5, 5, 5, 5, 5 ], "row_index": [ 1, 2, 6, 7, 8, 9, 10, 11, 12, 13 ] }
[ "who are all the players?", "against which players did karolina sprem win?" ]
1
stefanie weis, rita degli-esposti, sophie lefevre, magdalena zdenovcova, olga barabanschikova, ludmila cervanova, roberta vinci, kirsten flipkens, viktoriya kutuzova, yvonne meusburger
[ "Outcome", "No.", "Date", "Tournament", "Surface", "Opponent in the final", "Score" ]
against which players did karolina sprem win?
[ [ "Runner-up", "1.0", "2 September 2001", "Mostar", "Clay", "Adriana Basaric", "4-6, 3-6" ], [ "Winner", "1.0", "27 January 2002", "Courmayeur", "Hard", "Stefanie Weis", "4-6, 7-6(7-3), 6-4" ], [ "Winner", "2.0", "17 February 2002", "Bergamo", "Hard", "Rita Degli-Esposti", "6-1, 6-2" ], [ "Runner-up", "2.0", "31 March 2002", "Rome - Parioli", "Clay", "Dinara Safina", "7-6(7-3), 2-6, 3-6" ], [ "Runner-up", "3.0", "23 June 2002", "Gorizia", "Clay", "Ainhoa Goni-Blanco", "6-7(4-7), 1-6" ], [ "Runner-up", "4.0", "11 August 2002", "Rimini", "Clay", "Laurence Andretto", "5-7, 4-6" ], [ "Winner", "3.0", "26 January 2003", "Grenoble", "Hard", "Sophie Lefevre", "7-5, 7-5" ], [ "Winner", "4.0", "16 February 2003", "Southampton", "Hard", "Magdalena Zdenovcova", "6-1, 3-0, ret." ], [ "Winner", "5.0", "23 February 2003", "Redbridge", "Hard", "Olga Barabanschikova", "6-3, 6-2" ], [ "Winner", "6.0", "23 March 2003", "Castellon", "Clay", "Ludmila Cervanova", "6-3, 6-3" ], [ "Winner", "7.0", "2 November 2003", "Poitiers", "Hard", "Roberta Vinci", "6-4, 7-5" ], [ "Winner", "8.0", "1 March 2009", "Biberach", "Hard", "Kirsten Flipkens", "6-1, 6-2" ], [ "Winner", "9.0", "11 April 2009", "Torhout", "Hard", "Viktoriya Kutuzova", "6-1, 6-4" ], [ "Winner", "10.0", "11 April 2009", "Mestre", "Hard", "Yvonne Meusburger", "2-6, 6-2, 6-4" ] ]
[ "Stefanie Weis", "Rita Degli-Esposti", "Sophie Lefevre", "Magdalena Zdenovcova", "Olga Barabanschikova", "Ludmila Cervanova", "Roberta Vinci", "Kirsten Flipkens", "Viktoriya Kutuzova", "Yvonne Meusburger" ]
against which players did karolina sprem win? || who are all the players?
nt-12445
col : outcome | no. | date | tournament | surface | opponent in the final | score row 1 : runner-up | 1.0 | 2 september 2001 | mostar | clay | adriana basaric | 4-6, 3-6 row 2 : winner | 1.0 | 27 january 2002 | courmayeur | hard | stefanie weis | 4-6, 7-6(7-3), 6-4 row 3 : winner | 2.0 | 17 february 2002 | bergamo | hard | rita degli-esposti | 6-1, 6-2 row 4 : runner-up | 2.0 | 31 march 2002 | rome - parioli | clay | dinara safina | 7-6(7-3), 2-6, 3-6 row 5 : runner-up | 3.0 | 23 june 2002 | gorizia | clay | ainhoa goni-blanco | 6-7(4-7), 1-6 row 6 : runner-up | 4.0 | 11 august 2002 | rimini | clay | laurence andretto | 5-7, 4-6 row 7 : winner | 3.0 | 26 january 2003 | grenoble | hard | sophie lefevre | 7-5, 7-5 row 8 : winner | 4.0 | 16 february 2003 | southampton | hard | magdalena zdenovcova | 6-1, 3-0, ret. row 9 : winner | 5.0 | 23 february 2003 | redbridge | hard | olga barabanschikova | 6-3, 6-2 row 10 : winner | 6.0 | 23 march 2003 | castellon | clay | ludmila cervanova | 6-3, 6-3 row 11 : winner | 7.0 | 2 november 2003 | poitiers | hard | roberta vinci | 6-4, 7-5 row 12 : winner | 8.0 | 1 march 2009 | biberach | hard | kirsten flipkens | 6-1, 6-2 row 13 : winner | 9.0 | 11 april 2009 | torhout | hard | viktoriya kutuzova | 6-1, 6-4 row 14 : winner | 10.0 | 11 april 2009 | mestre | hard | yvonne meusburger | 2-6, 6-2, 6-4
table_csv/203_220.csv
2
{ "column_index": [ 5 ], "row_index": [ 6 ] }
[ "who are all the players?", "against which players did karolina sprem win?", "of these players, which ones were french?" ]
1
sophie lefevre
[ "Outcome", "No.", "Date", "Tournament", "Surface", "Opponent in the final", "Score" ]
of these players, which ones were french?
[ [ "Runner-up", "1.0", "2 September 2001", "Mostar", "Clay", "Adriana Basaric", "4-6, 3-6" ], [ "Winner", "1.0", "27 January 2002", "Courmayeur", "Hard", "Stefanie Weis", "4-6, 7-6(7-3), 6-4" ], [ "Winner", "2.0", "17 February 2002", "Bergamo", "Hard", "Rita Degli-Esposti", "6-1, 6-2" ], [ "Runner-up", "2.0", "31 March 2002", "Rome - Parioli", "Clay", "Dinara Safina", "7-6(7-3), 2-6, 3-6" ], [ "Runner-up", "3.0", "23 June 2002", "Gorizia", "Clay", "Ainhoa Goni-Blanco", "6-7(4-7), 1-6" ], [ "Runner-up", "4.0", "11 August 2002", "Rimini", "Clay", "Laurence Andretto", "5-7, 4-6" ], [ "Winner", "3.0", "26 January 2003", "Grenoble", "Hard", "Sophie Lefevre", "7-5, 7-5" ], [ "Winner", "4.0", "16 February 2003", "Southampton", "Hard", "Magdalena Zdenovcova", "6-1, 3-0, ret." ], [ "Winner", "5.0", "23 February 2003", "Redbridge", "Hard", "Olga Barabanschikova", "6-3, 6-2" ], [ "Winner", "6.0", "23 March 2003", "Castellon", "Clay", "Ludmila Cervanova", "6-3, 6-3" ], [ "Winner", "7.0", "2 November 2003", "Poitiers", "Hard", "Roberta Vinci", "6-4, 7-5" ], [ "Winner", "8.0", "1 March 2009", "Biberach", "Hard", "Kirsten Flipkens", "6-1, 6-2" ], [ "Winner", "9.0", "11 April 2009", "Torhout", "Hard", "Viktoriya Kutuzova", "6-1, 6-4" ], [ "Winner", "10.0", "11 April 2009", "Mestre", "Hard", "Yvonne Meusburger", "2-6, 6-2, 6-4" ] ]
[ "Sophie Lefevre" ]
of these players, which ones were french? || against which players did karolina sprem win? | who are all the players?
nt-12445
col : outcome | no. | date | tournament | surface | opponent in the final | score row 1 : runner-up | 1.0 | 2 september 2001 | mostar | clay | adriana basaric | 4-6, 3-6 row 2 : winner | 1.0 | 27 january 2002 | courmayeur | hard | stefanie weis | 4-6, 7-6(7-3), 6-4 row 3 : winner | 2.0 | 17 february 2002 | bergamo | hard | rita degli-esposti | 6-1, 6-2 row 4 : runner-up | 2.0 | 31 march 2002 | rome - parioli | clay | dinara safina | 7-6(7-3), 2-6, 3-6 row 5 : runner-up | 3.0 | 23 june 2002 | gorizia | clay | ainhoa goni-blanco | 6-7(4-7), 1-6 row 6 : runner-up | 4.0 | 11 august 2002 | rimini | clay | laurence andretto | 5-7, 4-6 row 7 : winner | 3.0 | 26 january 2003 | grenoble | hard | sophie lefevre | 7-5, 7-5 row 8 : winner | 4.0 | 16 february 2003 | southampton | hard | magdalena zdenovcova | 6-1, 3-0, ret. row 9 : winner | 5.0 | 23 february 2003 | redbridge | hard | olga barabanschikova | 6-3, 6-2 row 10 : winner | 6.0 | 23 march 2003 | castellon | clay | ludmila cervanova | 6-3, 6-3 row 11 : winner | 7.0 | 2 november 2003 | poitiers | hard | roberta vinci | 6-4, 7-5 row 12 : winner | 8.0 | 1 march 2009 | biberach | hard | kirsten flipkens | 6-1, 6-2 row 13 : winner | 9.0 | 11 april 2009 | torhout | hard | viktoriya kutuzova | 6-1, 6-4 row 14 : winner | 10.0 | 11 april 2009 | mestre | hard | yvonne meusburger | 2-6, 6-2, 6-4
table_csv/203_220.csv
0
{ "column_index": [ 5, 5, 5, 5, 5, 5, 5, 5, 5, 5 ], "row_index": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 ] }
[ "which players did karolina sprem defeat in 2002 and 2003?" ]
2
stefanie weis, rita degli-esposti, dinara safina, ainhoa goni-blanco, laurence andretto, sophie lefevre, magdalena zdenovcova, olga barabanschikova, ludmila cervanova, roberta vinci
[ "Outcome", "No.", "Date", "Tournament", "Surface", "Opponent in the final", "Score" ]
which players did karolina sprem defeat in 2002 and 2003?
[ [ "Runner-up", "1.0", "2 September 2001", "Mostar", "Clay", "Adriana Basaric", "4-6, 3-6" ], [ "Winner", "1.0", "27 January 2002", "Courmayeur", "Hard", "Stefanie Weis", "4-6, 7-6(7-3), 6-4" ], [ "Winner", "2.0", "17 February 2002", "Bergamo", "Hard", "Rita Degli-Esposti", "6-1, 6-2" ], [ "Runner-up", "2.0", "31 March 2002", "Rome - Parioli", "Clay", "Dinara Safina", "7-6(7-3), 2-6, 3-6" ], [ "Runner-up", "3.0", "23 June 2002", "Gorizia", "Clay", "Ainhoa Goni-Blanco", "6-7(4-7), 1-6" ], [ "Runner-up", "4.0", "11 August 2002", "Rimini", "Clay", "Laurence Andretto", "5-7, 4-6" ], [ "Winner", "3.0", "26 January 2003", "Grenoble", "Hard", "Sophie Lefevre", "7-5, 7-5" ], [ "Winner", "4.0", "16 February 2003", "Southampton", "Hard", "Magdalena Zdenovcova", "6-1, 3-0, ret." ], [ "Winner", "5.0", "23 February 2003", "Redbridge", "Hard", "Olga Barabanschikova", "6-3, 6-2" ], [ "Winner", "6.0", "23 March 2003", "Castellon", "Clay", "Ludmila Cervanova", "6-3, 6-3" ], [ "Winner", "7.0", "2 November 2003", "Poitiers", "Hard", "Roberta Vinci", "6-4, 7-5" ], [ "Winner", "8.0", "1 March 2009", "Biberach", "Hard", "Kirsten Flipkens", "6-1, 6-2" ], [ "Winner", "9.0", "11 April 2009", "Torhout", "Hard", "Viktoriya Kutuzova", "6-1, 6-4" ], [ "Winner", "10.0", "11 April 2009", "Mestre", "Hard", "Yvonne Meusburger", "2-6, 6-2, 6-4" ] ]
[ "Stefanie Weis", "Rita Degli-Esposti", "Dinara Safina", "Ainhoa Goni-Blanco", "Laurence Andretto", "Sophie Lefevre", "Magdalena Zdenovcova", "Olga Barabanschikova", "Ludmila Cervanova", "Roberta Vinci" ]
which players did karolina sprem defeat in 2002 and 2003? ||
nt-12445
col : outcome | no. | date | tournament | surface | opponent in the final | score row 1 : runner-up | 1.0 | 2 september 2001 | mostar | clay | adriana basaric | 4-6, 3-6 row 2 : winner | 1.0 | 27 january 2002 | courmayeur | hard | stefanie weis | 4-6, 7-6(7-3), 6-4 row 3 : winner | 2.0 | 17 february 2002 | bergamo | hard | rita degli-esposti | 6-1, 6-2 row 4 : runner-up | 2.0 | 31 march 2002 | rome - parioli | clay | dinara safina | 7-6(7-3), 2-6, 3-6 row 5 : runner-up | 3.0 | 23 june 2002 | gorizia | clay | ainhoa goni-blanco | 6-7(4-7), 1-6 row 6 : runner-up | 4.0 | 11 august 2002 | rimini | clay | laurence andretto | 5-7, 4-6 row 7 : winner | 3.0 | 26 january 2003 | grenoble | hard | sophie lefevre | 7-5, 7-5 row 8 : winner | 4.0 | 16 february 2003 | southampton | hard | magdalena zdenovcova | 6-1, 3-0, ret. row 9 : winner | 5.0 | 23 february 2003 | redbridge | hard | olga barabanschikova | 6-3, 6-2 row 10 : winner | 6.0 | 23 march 2003 | castellon | clay | ludmila cervanova | 6-3, 6-3 row 11 : winner | 7.0 | 2 november 2003 | poitiers | hard | roberta vinci | 6-4, 7-5 row 12 : winner | 8.0 | 1 march 2009 | biberach | hard | kirsten flipkens | 6-1, 6-2 row 13 : winner | 9.0 | 11 april 2009 | torhout | hard | viktoriya kutuzova | 6-1, 6-4 row 14 : winner | 10.0 | 11 april 2009 | mestre | hard | yvonne meusburger | 2-6, 6-2, 6-4
table_csv/203_220.csv
1
{ "column_index": [ 5, 5 ], "row_index": [ 5, 6 ] }
[ "which players did karolina sprem defeat in 2002 and 2003?", "of those players, which were french?" ]
2
laurence andretto, sophie lefevre
[ "Outcome", "No.", "Date", "Tournament", "Surface", "Opponent in the final", "Score" ]
of those players, which were french?
[ [ "Runner-up", "1.0", "2 September 2001", "Mostar", "Clay", "Adriana Basaric", "4-6, 3-6" ], [ "Winner", "1.0", "27 January 2002", "Courmayeur", "Hard", "Stefanie Weis", "4-6, 7-6(7-3), 6-4" ], [ "Winner", "2.0", "17 February 2002", "Bergamo", "Hard", "Rita Degli-Esposti", "6-1, 6-2" ], [ "Runner-up", "2.0", "31 March 2002", "Rome - Parioli", "Clay", "Dinara Safina", "7-6(7-3), 2-6, 3-6" ], [ "Runner-up", "3.0", "23 June 2002", "Gorizia", "Clay", "Ainhoa Goni-Blanco", "6-7(4-7), 1-6" ], [ "Runner-up", "4.0", "11 August 2002", "Rimini", "Clay", "Laurence Andretto", "5-7, 4-6" ], [ "Winner", "3.0", "26 January 2003", "Grenoble", "Hard", "Sophie Lefevre", "7-5, 7-5" ], [ "Winner", "4.0", "16 February 2003", "Southampton", "Hard", "Magdalena Zdenovcova", "6-1, 3-0, ret." ], [ "Winner", "5.0", "23 February 2003", "Redbridge", "Hard", "Olga Barabanschikova", "6-3, 6-2" ], [ "Winner", "6.0", "23 March 2003", "Castellon", "Clay", "Ludmila Cervanova", "6-3, 6-3" ], [ "Winner", "7.0", "2 November 2003", "Poitiers", "Hard", "Roberta Vinci", "6-4, 7-5" ], [ "Winner", "8.0", "1 March 2009", "Biberach", "Hard", "Kirsten Flipkens", "6-1, 6-2" ], [ "Winner", "9.0", "11 April 2009", "Torhout", "Hard", "Viktoriya Kutuzova", "6-1, 6-4" ], [ "Winner", "10.0", "11 April 2009", "Mestre", "Hard", "Yvonne Meusburger", "2-6, 6-2, 6-4" ] ]
[ "Laurence Andretto", "Sophie Lefevre" ]
of those players, which were french? || which players did karolina sprem defeat in 2002 and 2003?
nt-12445
col : outcome | no. | date | tournament | surface | opponent in the final | score row 1 : runner-up | 1.0 | 2 september 2001 | mostar | clay | adriana basaric | 4-6, 3-6 row 2 : winner | 1.0 | 27 january 2002 | courmayeur | hard | stefanie weis | 4-6, 7-6(7-3), 6-4 row 3 : winner | 2.0 | 17 february 2002 | bergamo | hard | rita degli-esposti | 6-1, 6-2 row 4 : runner-up | 2.0 | 31 march 2002 | rome - parioli | clay | dinara safina | 7-6(7-3), 2-6, 3-6 row 5 : runner-up | 3.0 | 23 june 2002 | gorizia | clay | ainhoa goni-blanco | 6-7(4-7), 1-6 row 6 : runner-up | 4.0 | 11 august 2002 | rimini | clay | laurence andretto | 5-7, 4-6 row 7 : winner | 3.0 | 26 january 2003 | grenoble | hard | sophie lefevre | 7-5, 7-5 row 8 : winner | 4.0 | 16 february 2003 | southampton | hard | magdalena zdenovcova | 6-1, 3-0, ret. row 9 : winner | 5.0 | 23 february 2003 | redbridge | hard | olga barabanschikova | 6-3, 6-2 row 10 : winner | 6.0 | 23 march 2003 | castellon | clay | ludmila cervanova | 6-3, 6-3 row 11 : winner | 7.0 | 2 november 2003 | poitiers | hard | roberta vinci | 6-4, 7-5 row 12 : winner | 8.0 | 1 march 2009 | biberach | hard | kirsten flipkens | 6-1, 6-2 row 13 : winner | 9.0 | 11 april 2009 | torhout | hard | viktoriya kutuzova | 6-1, 6-4 row 14 : winner | 10.0 | 11 april 2009 | mestre | hard | yvonne meusburger | 2-6, 6-2, 6-4
table_csv/203_220.csv
2
{ "column_index": [ 5 ], "row_index": [ 6 ] }
[ "which players did karolina sprem defeat in 2002 and 2003?", "of those players, which were french?", "of the two that are french, which player did karolina sprem defeat in 2003?" ]
2
sophie lefevre
[ "Outcome", "No.", "Date", "Tournament", "Surface", "Opponent in the final", "Score" ]
of the two that are french, which player did karolina sprem defeat in 2003?
[ [ "Runner-up", "1.0", "2 September 2001", "Mostar", "Clay", "Adriana Basaric", "4-6, 3-6" ], [ "Winner", "1.0", "27 January 2002", "Courmayeur", "Hard", "Stefanie Weis", "4-6, 7-6(7-3), 6-4" ], [ "Winner", "2.0", "17 February 2002", "Bergamo", "Hard", "Rita Degli-Esposti", "6-1, 6-2" ], [ "Runner-up", "2.0", "31 March 2002", "Rome - Parioli", "Clay", "Dinara Safina", "7-6(7-3), 2-6, 3-6" ], [ "Runner-up", "3.0", "23 June 2002", "Gorizia", "Clay", "Ainhoa Goni-Blanco", "6-7(4-7), 1-6" ], [ "Runner-up", "4.0", "11 August 2002", "Rimini", "Clay", "Laurence Andretto", "5-7, 4-6" ], [ "Winner", "3.0", "26 January 2003", "Grenoble", "Hard", "Sophie Lefevre", "7-5, 7-5" ], [ "Winner", "4.0", "16 February 2003", "Southampton", "Hard", "Magdalena Zdenovcova", "6-1, 3-0, ret." ], [ "Winner", "5.0", "23 February 2003", "Redbridge", "Hard", "Olga Barabanschikova", "6-3, 6-2" ], [ "Winner", "6.0", "23 March 2003", "Castellon", "Clay", "Ludmila Cervanova", "6-3, 6-3" ], [ "Winner", "7.0", "2 November 2003", "Poitiers", "Hard", "Roberta Vinci", "6-4, 7-5" ], [ "Winner", "8.0", "1 March 2009", "Biberach", "Hard", "Kirsten Flipkens", "6-1, 6-2" ], [ "Winner", "9.0", "11 April 2009", "Torhout", "Hard", "Viktoriya Kutuzova", "6-1, 6-4" ], [ "Winner", "10.0", "11 April 2009", "Mestre", "Hard", "Yvonne Meusburger", "2-6, 6-2, 6-4" ] ]
[ "Sophie Lefevre" ]
of the two that are french, which player did karolina sprem defeat in 2003? || of those players, which were french? | which players did karolina sprem defeat in 2002 and 2003?
nt-13400
col : rank | area | state/ province | csa/cma 2009 population | projected 2025 population | projected increase 2009-2025 row 1 : 1 | chicago | il-in-wi | 9,804,845 | 10,935,100 | 1,130,255 row 2 : 2 | toronto | on | 5,741,400 | 7,408,000 | 1,666,600 row 3 : 3 | detroit | mi | 5,327,764 | 6,191,000 | 863,236 row 4 : 4 | cleveland | oh | 2,891,988 | 3,172,000 | 280,012 row 5 : 5 | milwaukee | wi | 1,760,268 | 1,913,000 | 157,732 row 6 : 6 | ottawa - gatineau | on-qc | 1,451,415 | 1,596,556 | 145,141 row 7 : 7 | grand rapids | mi | 1,327,366 | 1,530,000 | 202,634 row 8 : 8 | buffalo | ny | 1,203,493 | 1,040,400 | -163,093 row 9 : 9 | rochester | ny | 1,149,653 | 1,248,600 | 98,947 row 10 : 10 | hamilton | on | 740,200 | 954,858 | 214,658 row 11 : 11 | toledo | oh | 672,220 | 672,220 | 0 row 12 : 12 | lansing | mi | 523,609 | 547,325 | 23,716 row 13 : 13 | kitchener - cambridge - waterloo | on | 492,400 | 635,196 | 142,796 row 14 : 14 | london | on | 492,200 | 634,938 | 142,738 row 15 : 15 | fort wayne | in | 414,315 | 455,623 | 39,366 row 16 : 16 | st. catharines - niagara | on | 404,400 | 521,676 | 117,276 row 17 : 17 | windsor | on | 330,900 | 426,861 | 95,961 row 18 : 18 | erie | pa | 280,985 | nan | nan
table_csv/204_113.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17 ] }
[ "what are all the population centers?" ]
0
chicago, toronto, detroit, cleveland, milwaukee, ottawa - gatineau, grand rapids, buffalo, rochester, hamilton, toledo, lansing, kitchener - cambridge - waterloo, london, fort wayne, st. catharines - niagara, windsor, erie
[ "Rank", "Area", "State/ Province", "CSA/CMA 2009 population", "Projected 2025 population", "Projected increase 2009-2025" ]
what are all the population centers?
[ [ "1", "Chicago", "IL-IN-WI", "9,804,845", "10,935,100", "1,130,255" ], [ "2", "Toronto", "ON", "5,741,400", "7,408,000", "1,666,600" ], [ "3", "Detroit", "MI", "5,327,764", "6,191,000", "863,236" ], [ "4", "Cleveland", "OH", "2,891,988", "3,172,000", "280,012" ], [ "5", "Milwaukee", "WI", "1,760,268", "1,913,000", "157,732" ], [ "6", "Ottawa - Gatineau", "ON-QC", "1,451,415", "1,596,556", "145,141" ], [ "7", "Grand Rapids", "MI", "1,327,366", "1,530,000", "202,634" ], [ "8", "Buffalo", "NY", "1,203,493", "1,040,400", "-163,093" ], [ "9", "Rochester", "NY", "1,149,653", "1,248,600", "98,947" ], [ "10", "Hamilton", "ON", "740,200", "954,858", "214,658" ], [ "11", "Toledo", "OH", "672,220", "672,220", "0" ], [ "12", "Lansing", "MI", "523,609", "547,325", "23,716" ], [ "13", "Kitchener - Cambridge - Waterloo", "ON", "492,400", "635,196", "142,796" ], [ "14", "London", "ON", "492,200", "634,938", "142,738" ], [ "15", "Fort Wayne", "IN", "414,315", "455,623", "39,366" ], [ "16", "St. Catharines - Niagara", "ON", "404,400", "521,676", "117,276" ], [ "17", "Windsor", "ON", "330,900", "426,861", "95,961" ], [ "18", "Erie", "PA", "280,985", "nan", "nan" ] ]
[ "Chicago", "Toronto", "Detroit", "Cleveland", "Milwaukee", "Ottawa - Gatineau", "Grand Rapids", "Buffalo", "Rochester", "Hamilton", "Toledo", "Lansing", "Kitchener - Cambridge - Waterloo", "London", "Fort Wayne", "St. Catharines - Niagara", "Windsor", "Erie" ]
what are all the population centers? ||
nt-13400
col : rank | area | state/ province | csa/cma 2009 population | projected 2025 population | projected increase 2009-2025 row 1 : 1 | chicago | il-in-wi | 9,804,845 | 10,935,100 | 1,130,255 row 2 : 2 | toronto | on | 5,741,400 | 7,408,000 | 1,666,600 row 3 : 3 | detroit | mi | 5,327,764 | 6,191,000 | 863,236 row 4 : 4 | cleveland | oh | 2,891,988 | 3,172,000 | 280,012 row 5 : 5 | milwaukee | wi | 1,760,268 | 1,913,000 | 157,732 row 6 : 6 | ottawa - gatineau | on-qc | 1,451,415 | 1,596,556 | 145,141 row 7 : 7 | grand rapids | mi | 1,327,366 | 1,530,000 | 202,634 row 8 : 8 | buffalo | ny | 1,203,493 | 1,040,400 | -163,093 row 9 : 9 | rochester | ny | 1,149,653 | 1,248,600 | 98,947 row 10 : 10 | hamilton | on | 740,200 | 954,858 | 214,658 row 11 : 11 | toledo | oh | 672,220 | 672,220 | 0 row 12 : 12 | lansing | mi | 523,609 | 547,325 | 23,716 row 13 : 13 | kitchener - cambridge - waterloo | on | 492,400 | 635,196 | 142,796 row 14 : 14 | london | on | 492,200 | 634,938 | 142,738 row 15 : 15 | fort wayne | in | 414,315 | 455,623 | 39,366 row 16 : 16 | st. catharines - niagara | on | 404,400 | 521,676 | 117,276 row 17 : 17 | windsor | on | 330,900 | 426,861 | 95,961 row 18 : 18 | erie | pa | 280,985 | nan | nan
table_csv/204_113.csv
1
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 8, 9, 11, 12, 13, 14, 15, 16 ] }
[ "what are all the population centers?", "which population centers have a projected increase?" ]
0
chicago, toronto, detroit, cleveland, milwaukee, ottawa - gatineau, grand rapids, rochester, hamilton, lansing, kitchener - cambridge - waterloo, london, fort wayne, st. catharines - niagara, windsor
[ "Rank", "Area", "State/ Province", "CSA/CMA 2009 population", "Projected 2025 population", "Projected increase 2009-2025" ]
which population centers have a projected increase?
[ [ "1", "Chicago", "IL-IN-WI", "9,804,845", "10,935,100", "1,130,255" ], [ "2", "Toronto", "ON", "5,741,400", "7,408,000", "1,666,600" ], [ "3", "Detroit", "MI", "5,327,764", "6,191,000", "863,236" ], [ "4", "Cleveland", "OH", "2,891,988", "3,172,000", "280,012" ], [ "5", "Milwaukee", "WI", "1,760,268", "1,913,000", "157,732" ], [ "6", "Ottawa - Gatineau", "ON-QC", "1,451,415", "1,596,556", "145,141" ], [ "7", "Grand Rapids", "MI", "1,327,366", "1,530,000", "202,634" ], [ "8", "Buffalo", "NY", "1,203,493", "1,040,400", "-163,093" ], [ "9", "Rochester", "NY", "1,149,653", "1,248,600", "98,947" ], [ "10", "Hamilton", "ON", "740,200", "954,858", "214,658" ], [ "11", "Toledo", "OH", "672,220", "672,220", "0" ], [ "12", "Lansing", "MI", "523,609", "547,325", "23,716" ], [ "13", "Kitchener - Cambridge - Waterloo", "ON", "492,400", "635,196", "142,796" ], [ "14", "London", "ON", "492,200", "634,938", "142,738" ], [ "15", "Fort Wayne", "IN", "414,315", "455,623", "39,366" ], [ "16", "St. Catharines - Niagara", "ON", "404,400", "521,676", "117,276" ], [ "17", "Windsor", "ON", "330,900", "426,861", "95,961" ], [ "18", "Erie", "PA", "280,985", "nan", "nan" ] ]
[ "Chicago", "Toronto", "Detroit", "Cleveland", "Milwaukee", "Ottawa - Gatineau", "Grand Rapids", "Rochester", "Hamilton", "Lansing", "Kitchener - Cambridge - Waterloo", "London", "Fort Wayne", "St. Catharines - Niagara", "Windsor" ]
which population centers have a projected increase? || what are all the population centers?
nt-13400
col : rank | area | state/ province | csa/cma 2009 population | projected 2025 population | projected increase 2009-2025 row 1 : 1 | chicago | il-in-wi | 9,804,845 | 10,935,100 | 1,130,255 row 2 : 2 | toronto | on | 5,741,400 | 7,408,000 | 1,666,600 row 3 : 3 | detroit | mi | 5,327,764 | 6,191,000 | 863,236 row 4 : 4 | cleveland | oh | 2,891,988 | 3,172,000 | 280,012 row 5 : 5 | milwaukee | wi | 1,760,268 | 1,913,000 | 157,732 row 6 : 6 | ottawa - gatineau | on-qc | 1,451,415 | 1,596,556 | 145,141 row 7 : 7 | grand rapids | mi | 1,327,366 | 1,530,000 | 202,634 row 8 : 8 | buffalo | ny | 1,203,493 | 1,040,400 | -163,093 row 9 : 9 | rochester | ny | 1,149,653 | 1,248,600 | 98,947 row 10 : 10 | hamilton | on | 740,200 | 954,858 | 214,658 row 11 : 11 | toledo | oh | 672,220 | 672,220 | 0 row 12 : 12 | lansing | mi | 523,609 | 547,325 | 23,716 row 13 : 13 | kitchener - cambridge - waterloo | on | 492,400 | 635,196 | 142,796 row 14 : 14 | london | on | 492,200 | 634,938 | 142,738 row 15 : 15 | fort wayne | in | 414,315 | 455,623 | 39,366 row 16 : 16 | st. catharines - niagara | on | 404,400 | 521,676 | 117,276 row 17 : 17 | windsor | on | 330,900 | 426,861 | 95,961 row 18 : 18 | erie | pa | 280,985 | nan | nan
table_csv/204_113.csv
2
{ "column_index": [ 1, 1, 1 ], "row_index": [ 0, 1, 2 ] }
[ "what are all the population centers?", "which population centers have a projected increase?", "which population centers have a projected increase above 300,000?" ]
0
chicago, toronto, detroit
[ "Rank", "Area", "State/ Province", "CSA/CMA 2009 population", "Projected 2025 population", "Projected increase 2009-2025" ]
which population centers have a projected increase above 300,000?
[ [ "1", "Chicago", "IL-IN-WI", "9,804,845", "10,935,100", "1,130,255" ], [ "2", "Toronto", "ON", "5,741,400", "7,408,000", "1,666,600" ], [ "3", "Detroit", "MI", "5,327,764", "6,191,000", "863,236" ], [ "4", "Cleveland", "OH", "2,891,988", "3,172,000", "280,012" ], [ "5", "Milwaukee", "WI", "1,760,268", "1,913,000", "157,732" ], [ "6", "Ottawa - Gatineau", "ON-QC", "1,451,415", "1,596,556", "145,141" ], [ "7", "Grand Rapids", "MI", "1,327,366", "1,530,000", "202,634" ], [ "8", "Buffalo", "NY", "1,203,493", "1,040,400", "-163,093" ], [ "9", "Rochester", "NY", "1,149,653", "1,248,600", "98,947" ], [ "10", "Hamilton", "ON", "740,200", "954,858", "214,658" ], [ "11", "Toledo", "OH", "672,220", "672,220", "0" ], [ "12", "Lansing", "MI", "523,609", "547,325", "23,716" ], [ "13", "Kitchener - Cambridge - Waterloo", "ON", "492,400", "635,196", "142,796" ], [ "14", "London", "ON", "492,200", "634,938", "142,738" ], [ "15", "Fort Wayne", "IN", "414,315", "455,623", "39,366" ], [ "16", "St. Catharines - Niagara", "ON", "404,400", "521,676", "117,276" ], [ "17", "Windsor", "ON", "330,900", "426,861", "95,961" ], [ "18", "Erie", "PA", "280,985", "nan", "nan" ] ]
[ "Chicago", "Toronto", "Detroit" ]
which population centers have a projected increase above 300,000? || which population centers have a projected increase? | what are all the population centers?
nt-13400
col : rank | area | state/ province | csa/cma 2009 population | projected 2025 population | projected increase 2009-2025 row 1 : 1 | chicago | il-in-wi | 9,804,845 | 10,935,100 | 1,130,255 row 2 : 2 | toronto | on | 5,741,400 | 7,408,000 | 1,666,600 row 3 : 3 | detroit | mi | 5,327,764 | 6,191,000 | 863,236 row 4 : 4 | cleveland | oh | 2,891,988 | 3,172,000 | 280,012 row 5 : 5 | milwaukee | wi | 1,760,268 | 1,913,000 | 157,732 row 6 : 6 | ottawa - gatineau | on-qc | 1,451,415 | 1,596,556 | 145,141 row 7 : 7 | grand rapids | mi | 1,327,366 | 1,530,000 | 202,634 row 8 : 8 | buffalo | ny | 1,203,493 | 1,040,400 | -163,093 row 9 : 9 | rochester | ny | 1,149,653 | 1,248,600 | 98,947 row 10 : 10 | hamilton | on | 740,200 | 954,858 | 214,658 row 11 : 11 | toledo | oh | 672,220 | 672,220 | 0 row 12 : 12 | lansing | mi | 523,609 | 547,325 | 23,716 row 13 : 13 | kitchener - cambridge - waterloo | on | 492,400 | 635,196 | 142,796 row 14 : 14 | london | on | 492,200 | 634,938 | 142,738 row 15 : 15 | fort wayne | in | 414,315 | 455,623 | 39,366 row 16 : 16 | st. catharines - niagara | on | 404,400 | 521,676 | 117,276 row 17 : 17 | windsor | on | 330,900 | 426,861 | 95,961 row 18 : 18 | erie | pa | 280,985 | nan | nan
table_csv/204_113.csv
3
{ "column_index": [ 1 ], "row_index": [ 2 ] }
[ "what are all the population centers?", "which population centers have a projected increase?", "which population centers have a projected increase above 300,000?", "of these, which are detroit or cleveland?" ]
0
detroit
[ "Rank", "Area", "State/ Province", "CSA/CMA 2009 population", "Projected 2025 population", "Projected increase 2009-2025" ]
of these, which are detroit or cleveland?
[ [ "1", "Chicago", "IL-IN-WI", "9,804,845", "10,935,100", "1,130,255" ], [ "2", "Toronto", "ON", "5,741,400", "7,408,000", "1,666,600" ], [ "3", "Detroit", "MI", "5,327,764", "6,191,000", "863,236" ], [ "4", "Cleveland", "OH", "2,891,988", "3,172,000", "280,012" ], [ "5", "Milwaukee", "WI", "1,760,268", "1,913,000", "157,732" ], [ "6", "Ottawa - Gatineau", "ON-QC", "1,451,415", "1,596,556", "145,141" ], [ "7", "Grand Rapids", "MI", "1,327,366", "1,530,000", "202,634" ], [ "8", "Buffalo", "NY", "1,203,493", "1,040,400", "-163,093" ], [ "9", "Rochester", "NY", "1,149,653", "1,248,600", "98,947" ], [ "10", "Hamilton", "ON", "740,200", "954,858", "214,658" ], [ "11", "Toledo", "OH", "672,220", "672,220", "0" ], [ "12", "Lansing", "MI", "523,609", "547,325", "23,716" ], [ "13", "Kitchener - Cambridge - Waterloo", "ON", "492,400", "635,196", "142,796" ], [ "14", "London", "ON", "492,200", "634,938", "142,738" ], [ "15", "Fort Wayne", "IN", "414,315", "455,623", "39,366" ], [ "16", "St. Catharines - Niagara", "ON", "404,400", "521,676", "117,276" ], [ "17", "Windsor", "ON", "330,900", "426,861", "95,961" ], [ "18", "Erie", "PA", "280,985", "nan", "nan" ] ]
[ "Detroit" ]
of these, which are detroit or cleveland? || which population centers have a projected increase above 300,000? | which population centers have a projected increase? | what are all the population centers?
nt-13400
col : rank | area | state/ province | csa/cma 2009 population | projected 2025 population | projected increase 2009-2025 row 1 : 1 | chicago | il-in-wi | 9,804,845 | 10,935,100 | 1,130,255 row 2 : 2 | toronto | on | 5,741,400 | 7,408,000 | 1,666,600 row 3 : 3 | detroit | mi | 5,327,764 | 6,191,000 | 863,236 row 4 : 4 | cleveland | oh | 2,891,988 | 3,172,000 | 280,012 row 5 : 5 | milwaukee | wi | 1,760,268 | 1,913,000 | 157,732 row 6 : 6 | ottawa - gatineau | on-qc | 1,451,415 | 1,596,556 | 145,141 row 7 : 7 | grand rapids | mi | 1,327,366 | 1,530,000 | 202,634 row 8 : 8 | buffalo | ny | 1,203,493 | 1,040,400 | -163,093 row 9 : 9 | rochester | ny | 1,149,653 | 1,248,600 | 98,947 row 10 : 10 | hamilton | on | 740,200 | 954,858 | 214,658 row 11 : 11 | toledo | oh | 672,220 | 672,220 | 0 row 12 : 12 | lansing | mi | 523,609 | 547,325 | 23,716 row 13 : 13 | kitchener - cambridge - waterloo | on | 492,400 | 635,196 | 142,796 row 14 : 14 | london | on | 492,200 | 634,938 | 142,738 row 15 : 15 | fort wayne | in | 414,315 | 455,623 | 39,366 row 16 : 16 | st. catharines - niagara | on | 404,400 | 521,676 | 117,276 row 17 : 17 | windsor | on | 330,900 | 426,861 | 95,961 row 18 : 18 | erie | pa | 280,985 | nan | nan
table_csv/204_113.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17 ] }
[ "what are all of the areas?" ]
1
chicago, toronto, detroit, cleveland, milwaukee, ottawa - gatineau, grand rapids, buffalo, rochester, hamilton, toledo, lansing, kitchener - cambridge - waterloo, london, fort wayne, st. catharines - niagara, windsor, erie
[ "Rank", "Area", "State/ Province", "CSA/CMA 2009 population", "Projected 2025 population", "Projected increase 2009-2025" ]
what are all of the areas?
[ [ "1", "Chicago", "IL-IN-WI", "9,804,845", "10,935,100", "1,130,255" ], [ "2", "Toronto", "ON", "5,741,400", "7,408,000", "1,666,600" ], [ "3", "Detroit", "MI", "5,327,764", "6,191,000", "863,236" ], [ "4", "Cleveland", "OH", "2,891,988", "3,172,000", "280,012" ], [ "5", "Milwaukee", "WI", "1,760,268", "1,913,000", "157,732" ], [ "6", "Ottawa - Gatineau", "ON-QC", "1,451,415", "1,596,556", "145,141" ], [ "7", "Grand Rapids", "MI", "1,327,366", "1,530,000", "202,634" ], [ "8", "Buffalo", "NY", "1,203,493", "1,040,400", "-163,093" ], [ "9", "Rochester", "NY", "1,149,653", "1,248,600", "98,947" ], [ "10", "Hamilton", "ON", "740,200", "954,858", "214,658" ], [ "11", "Toledo", "OH", "672,220", "672,220", "0" ], [ "12", "Lansing", "MI", "523,609", "547,325", "23,716" ], [ "13", "Kitchener - Cambridge - Waterloo", "ON", "492,400", "635,196", "142,796" ], [ "14", "London", "ON", "492,200", "634,938", "142,738" ], [ "15", "Fort Wayne", "IN", "414,315", "455,623", "39,366" ], [ "16", "St. Catharines - Niagara", "ON", "404,400", "521,676", "117,276" ], [ "17", "Windsor", "ON", "330,900", "426,861", "95,961" ], [ "18", "Erie", "PA", "280,985", "nan", "nan" ] ]
[ "Chicago", "Toronto", "Detroit", "Cleveland", "Milwaukee", "Ottawa - Gatineau", "Grand Rapids", "Buffalo", "Rochester", "Hamilton", "Toledo", "Lansing", "Kitchener - Cambridge - Waterloo", "London", "Fort Wayne", "St. Catharines - Niagara", "Windsor", "Erie" ]
what are all of the areas? ||
nt-13400
col : rank | area | state/ province | csa/cma 2009 population | projected 2025 population | projected increase 2009-2025 row 1 : 1 | chicago | il-in-wi | 9,804,845 | 10,935,100 | 1,130,255 row 2 : 2 | toronto | on | 5,741,400 | 7,408,000 | 1,666,600 row 3 : 3 | detroit | mi | 5,327,764 | 6,191,000 | 863,236 row 4 : 4 | cleveland | oh | 2,891,988 | 3,172,000 | 280,012 row 5 : 5 | milwaukee | wi | 1,760,268 | 1,913,000 | 157,732 row 6 : 6 | ottawa - gatineau | on-qc | 1,451,415 | 1,596,556 | 145,141 row 7 : 7 | grand rapids | mi | 1,327,366 | 1,530,000 | 202,634 row 8 : 8 | buffalo | ny | 1,203,493 | 1,040,400 | -163,093 row 9 : 9 | rochester | ny | 1,149,653 | 1,248,600 | 98,947 row 10 : 10 | hamilton | on | 740,200 | 954,858 | 214,658 row 11 : 11 | toledo | oh | 672,220 | 672,220 | 0 row 12 : 12 | lansing | mi | 523,609 | 547,325 | 23,716 row 13 : 13 | kitchener - cambridge - waterloo | on | 492,400 | 635,196 | 142,796 row 14 : 14 | london | on | 492,200 | 634,938 | 142,738 row 15 : 15 | fort wayne | in | 414,315 | 455,623 | 39,366 row 16 : 16 | st. catharines - niagara | on | 404,400 | 521,676 | 117,276 row 17 : 17 | windsor | on | 330,900 | 426,861 | 95,961 row 18 : 18 | erie | pa | 280,985 | nan | nan
table_csv/204_113.csv
1
{ "column_index": [ 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17 ] }
[ "what are all of the areas?", "what is the projected increase for them?" ]
1
1,130,255, 1,666,600, 863,236, 280,012, 157,732, 145,141, 202,634, -163,093, 98,947, 214,658, 0, 23,716, 142,796, 142,738, 39,366, 117,276, 95,961, n/a
[ "Rank", "Area", "State/ Province", "CSA/CMA 2009 population", "Projected 2025 population", "Projected increase 2009-2025" ]
what is the projected increase for them?
[ [ "1", "Chicago", "IL-IN-WI", "9,804,845", "10,935,100", "1,130,255" ], [ "2", "Toronto", "ON", "5,741,400", "7,408,000", "1,666,600" ], [ "3", "Detroit", "MI", "5,327,764", "6,191,000", "863,236" ], [ "4", "Cleveland", "OH", "2,891,988", "3,172,000", "280,012" ], [ "5", "Milwaukee", "WI", "1,760,268", "1,913,000", "157,732" ], [ "6", "Ottawa - Gatineau", "ON-QC", "1,451,415", "1,596,556", "145,141" ], [ "7", "Grand Rapids", "MI", "1,327,366", "1,530,000", "202,634" ], [ "8", "Buffalo", "NY", "1,203,493", "1,040,400", "-163,093" ], [ "9", "Rochester", "NY", "1,149,653", "1,248,600", "98,947" ], [ "10", "Hamilton", "ON", "740,200", "954,858", "214,658" ], [ "11", "Toledo", "OH", "672,220", "672,220", "0" ], [ "12", "Lansing", "MI", "523,609", "547,325", "23,716" ], [ "13", "Kitchener - Cambridge - Waterloo", "ON", "492,400", "635,196", "142,796" ], [ "14", "London", "ON", "492,200", "634,938", "142,738" ], [ "15", "Fort Wayne", "IN", "414,315", "455,623", "39,366" ], [ "16", "St. Catharines - Niagara", "ON", "404,400", "521,676", "117,276" ], [ "17", "Windsor", "ON", "330,900", "426,861", "95,961" ], [ "18", "Erie", "PA", "280,985", "nan", "nan" ] ]
[ "1,130,255", "1,666,600", "863,236", "280,012", "157,732", "145,141", "202,634", "-163,093", "98,947", "214,658", "0", "23,716", "142,796", "142,738", "39,366", "117,276", "95,961", "N/A" ]
what is the projected increase for them? || what are all of the areas?
nt-13400
col : rank | area | state/ province | csa/cma 2009 population | projected 2025 population | projected increase 2009-2025 row 1 : 1 | chicago | il-in-wi | 9,804,845 | 10,935,100 | 1,130,255 row 2 : 2 | toronto | on | 5,741,400 | 7,408,000 | 1,666,600 row 3 : 3 | detroit | mi | 5,327,764 | 6,191,000 | 863,236 row 4 : 4 | cleveland | oh | 2,891,988 | 3,172,000 | 280,012 row 5 : 5 | milwaukee | wi | 1,760,268 | 1,913,000 | 157,732 row 6 : 6 | ottawa - gatineau | on-qc | 1,451,415 | 1,596,556 | 145,141 row 7 : 7 | grand rapids | mi | 1,327,366 | 1,530,000 | 202,634 row 8 : 8 | buffalo | ny | 1,203,493 | 1,040,400 | -163,093 row 9 : 9 | rochester | ny | 1,149,653 | 1,248,600 | 98,947 row 10 : 10 | hamilton | on | 740,200 | 954,858 | 214,658 row 11 : 11 | toledo | oh | 672,220 | 672,220 | 0 row 12 : 12 | lansing | mi | 523,609 | 547,325 | 23,716 row 13 : 13 | kitchener - cambridge - waterloo | on | 492,400 | 635,196 | 142,796 row 14 : 14 | london | on | 492,200 | 634,938 | 142,738 row 15 : 15 | fort wayne | in | 414,315 | 455,623 | 39,366 row 16 : 16 | st. catharines - niagara | on | 404,400 | 521,676 | 117,276 row 17 : 17 | windsor | on | 330,900 | 426,861 | 95,961 row 18 : 18 | erie | pa | 280,985 | nan | nan
table_csv/204_113.csv
2
{ "column_index": [ 1 ], "row_index": [ 2 ] }
[ "what are all of the areas?", "what is the projected increase for them?", "and between cleveland and detroit, which has the higher projected increase?" ]
1
detroit
[ "Rank", "Area", "State/ Province", "CSA/CMA 2009 population", "Projected 2025 population", "Projected increase 2009-2025" ]
and between cleveland and detroit, which has the higher projected increase?
[ [ "1", "Chicago", "IL-IN-WI", "9,804,845", "10,935,100", "1,130,255" ], [ "2", "Toronto", "ON", "5,741,400", "7,408,000", "1,666,600" ], [ "3", "Detroit", "MI", "5,327,764", "6,191,000", "863,236" ], [ "4", "Cleveland", "OH", "2,891,988", "3,172,000", "280,012" ], [ "5", "Milwaukee", "WI", "1,760,268", "1,913,000", "157,732" ], [ "6", "Ottawa - Gatineau", "ON-QC", "1,451,415", "1,596,556", "145,141" ], [ "7", "Grand Rapids", "MI", "1,327,366", "1,530,000", "202,634" ], [ "8", "Buffalo", "NY", "1,203,493", "1,040,400", "-163,093" ], [ "9", "Rochester", "NY", "1,149,653", "1,248,600", "98,947" ], [ "10", "Hamilton", "ON", "740,200", "954,858", "214,658" ], [ "11", "Toledo", "OH", "672,220", "672,220", "0" ], [ "12", "Lansing", "MI", "523,609", "547,325", "23,716" ], [ "13", "Kitchener - Cambridge - Waterloo", "ON", "492,400", "635,196", "142,796" ], [ "14", "London", "ON", "492,200", "634,938", "142,738" ], [ "15", "Fort Wayne", "IN", "414,315", "455,623", "39,366" ], [ "16", "St. Catharines - Niagara", "ON", "404,400", "521,676", "117,276" ], [ "17", "Windsor", "ON", "330,900", "426,861", "95,961" ], [ "18", "Erie", "PA", "280,985", "nan", "nan" ] ]
[ "Detroit" ]
and between cleveland and detroit, which has the higher projected increase? || what is the projected increase for them? | what are all of the areas?
nt-13400
col : rank | area | state/ province | csa/cma 2009 population | projected 2025 population | projected increase 2009-2025 row 1 : 1 | chicago | il-in-wi | 9,804,845 | 10,935,100 | 1,130,255 row 2 : 2 | toronto | on | 5,741,400 | 7,408,000 | 1,666,600 row 3 : 3 | detroit | mi | 5,327,764 | 6,191,000 | 863,236 row 4 : 4 | cleveland | oh | 2,891,988 | 3,172,000 | 280,012 row 5 : 5 | milwaukee | wi | 1,760,268 | 1,913,000 | 157,732 row 6 : 6 | ottawa - gatineau | on-qc | 1,451,415 | 1,596,556 | 145,141 row 7 : 7 | grand rapids | mi | 1,327,366 | 1,530,000 | 202,634 row 8 : 8 | buffalo | ny | 1,203,493 | 1,040,400 | -163,093 row 9 : 9 | rochester | ny | 1,149,653 | 1,248,600 | 98,947 row 10 : 10 | hamilton | on | 740,200 | 954,858 | 214,658 row 11 : 11 | toledo | oh | 672,220 | 672,220 | 0 row 12 : 12 | lansing | mi | 523,609 | 547,325 | 23,716 row 13 : 13 | kitchener - cambridge - waterloo | on | 492,400 | 635,196 | 142,796 row 14 : 14 | london | on | 492,200 | 634,938 | 142,738 row 15 : 15 | fort wayne | in | 414,315 | 455,623 | 39,366 row 16 : 16 | st. catharines - niagara | on | 404,400 | 521,676 | 117,276 row 17 : 17 | windsor | on | 330,900 | 426,861 | 95,961 row 18 : 18 | erie | pa | 280,985 | nan | nan
table_csv/204_113.csv
0
{ "column_index": [ 1, 1, 1 ], "row_index": [ 2, 6, 11 ] }
[ "which of the areas are located in mi?" ]
2
detroit, grand rapids, lansing
[ "Rank", "Area", "State/ Province", "CSA/CMA 2009 population", "Projected 2025 population", "Projected increase 2009-2025" ]
which of the areas are located in mi?
[ [ "1", "Chicago", "IL-IN-WI", "9,804,845", "10,935,100", "1,130,255" ], [ "2", "Toronto", "ON", "5,741,400", "7,408,000", "1,666,600" ], [ "3", "Detroit", "MI", "5,327,764", "6,191,000", "863,236" ], [ "4", "Cleveland", "OH", "2,891,988", "3,172,000", "280,012" ], [ "5", "Milwaukee", "WI", "1,760,268", "1,913,000", "157,732" ], [ "6", "Ottawa - Gatineau", "ON-QC", "1,451,415", "1,596,556", "145,141" ], [ "7", "Grand Rapids", "MI", "1,327,366", "1,530,000", "202,634" ], [ "8", "Buffalo", "NY", "1,203,493", "1,040,400", "-163,093" ], [ "9", "Rochester", "NY", "1,149,653", "1,248,600", "98,947" ], [ "10", "Hamilton", "ON", "740,200", "954,858", "214,658" ], [ "11", "Toledo", "OH", "672,220", "672,220", "0" ], [ "12", "Lansing", "MI", "523,609", "547,325", "23,716" ], [ "13", "Kitchener - Cambridge - Waterloo", "ON", "492,400", "635,196", "142,796" ], [ "14", "London", "ON", "492,200", "634,938", "142,738" ], [ "15", "Fort Wayne", "IN", "414,315", "455,623", "39,366" ], [ "16", "St. Catharines - Niagara", "ON", "404,400", "521,676", "117,276" ], [ "17", "Windsor", "ON", "330,900", "426,861", "95,961" ], [ "18", "Erie", "PA", "280,985", "nan", "nan" ] ]
[ "Detroit", "Grand Rapids", "Lansing" ]
which of the areas are located in mi? ||
nt-13400
col : rank | area | state/ province | csa/cma 2009 population | projected 2025 population | projected increase 2009-2025 row 1 : 1 | chicago | il-in-wi | 9,804,845 | 10,935,100 | 1,130,255 row 2 : 2 | toronto | on | 5,741,400 | 7,408,000 | 1,666,600 row 3 : 3 | detroit | mi | 5,327,764 | 6,191,000 | 863,236 row 4 : 4 | cleveland | oh | 2,891,988 | 3,172,000 | 280,012 row 5 : 5 | milwaukee | wi | 1,760,268 | 1,913,000 | 157,732 row 6 : 6 | ottawa - gatineau | on-qc | 1,451,415 | 1,596,556 | 145,141 row 7 : 7 | grand rapids | mi | 1,327,366 | 1,530,000 | 202,634 row 8 : 8 | buffalo | ny | 1,203,493 | 1,040,400 | -163,093 row 9 : 9 | rochester | ny | 1,149,653 | 1,248,600 | 98,947 row 10 : 10 | hamilton | on | 740,200 | 954,858 | 214,658 row 11 : 11 | toledo | oh | 672,220 | 672,220 | 0 row 12 : 12 | lansing | mi | 523,609 | 547,325 | 23,716 row 13 : 13 | kitchener - cambridge - waterloo | on | 492,400 | 635,196 | 142,796 row 14 : 14 | london | on | 492,200 | 634,938 | 142,738 row 15 : 15 | fort wayne | in | 414,315 | 455,623 | 39,366 row 16 : 16 | st. catharines - niagara | on | 404,400 | 521,676 | 117,276 row 17 : 17 | windsor | on | 330,900 | 426,861 | 95,961 row 18 : 18 | erie | pa | 280,985 | nan | nan
table_csv/204_113.csv
1
{ "column_index": [ 1, 1 ], "row_index": [ 2, 6 ] }
[ "which of the areas are located in mi?", "of these, which have a population over 1,000,000?" ]
2
detroit, grand rapids
[ "Rank", "Area", "State/ Province", "CSA/CMA 2009 population", "Projected 2025 population", "Projected increase 2009-2025" ]
of these, which have a population over 1,000,000?
[ [ "1", "Chicago", "IL-IN-WI", "9,804,845", "10,935,100", "1,130,255" ], [ "2", "Toronto", "ON", "5,741,400", "7,408,000", "1,666,600" ], [ "3", "Detroit", "MI", "5,327,764", "6,191,000", "863,236" ], [ "4", "Cleveland", "OH", "2,891,988", "3,172,000", "280,012" ], [ "5", "Milwaukee", "WI", "1,760,268", "1,913,000", "157,732" ], [ "6", "Ottawa - Gatineau", "ON-QC", "1,451,415", "1,596,556", "145,141" ], [ "7", "Grand Rapids", "MI", "1,327,366", "1,530,000", "202,634" ], [ "8", "Buffalo", "NY", "1,203,493", "1,040,400", "-163,093" ], [ "9", "Rochester", "NY", "1,149,653", "1,248,600", "98,947" ], [ "10", "Hamilton", "ON", "740,200", "954,858", "214,658" ], [ "11", "Toledo", "OH", "672,220", "672,220", "0" ], [ "12", "Lansing", "MI", "523,609", "547,325", "23,716" ], [ "13", "Kitchener - Cambridge - Waterloo", "ON", "492,400", "635,196", "142,796" ], [ "14", "London", "ON", "492,200", "634,938", "142,738" ], [ "15", "Fort Wayne", "IN", "414,315", "455,623", "39,366" ], [ "16", "St. Catharines - Niagara", "ON", "404,400", "521,676", "117,276" ], [ "17", "Windsor", "ON", "330,900", "426,861", "95,961" ], [ "18", "Erie", "PA", "280,985", "nan", "nan" ] ]
[ "Detroit", "Grand Rapids" ]
of these, which have a population over 1,000,000? || which of the areas are located in mi?
nt-13400
col : rank | area | state/ province | csa/cma 2009 population | projected 2025 population | projected increase 2009-2025 row 1 : 1 | chicago | il-in-wi | 9,804,845 | 10,935,100 | 1,130,255 row 2 : 2 | toronto | on | 5,741,400 | 7,408,000 | 1,666,600 row 3 : 3 | detroit | mi | 5,327,764 | 6,191,000 | 863,236 row 4 : 4 | cleveland | oh | 2,891,988 | 3,172,000 | 280,012 row 5 : 5 | milwaukee | wi | 1,760,268 | 1,913,000 | 157,732 row 6 : 6 | ottawa - gatineau | on-qc | 1,451,415 | 1,596,556 | 145,141 row 7 : 7 | grand rapids | mi | 1,327,366 | 1,530,000 | 202,634 row 8 : 8 | buffalo | ny | 1,203,493 | 1,040,400 | -163,093 row 9 : 9 | rochester | ny | 1,149,653 | 1,248,600 | 98,947 row 10 : 10 | hamilton | on | 740,200 | 954,858 | 214,658 row 11 : 11 | toledo | oh | 672,220 | 672,220 | 0 row 12 : 12 | lansing | mi | 523,609 | 547,325 | 23,716 row 13 : 13 | kitchener - cambridge - waterloo | on | 492,400 | 635,196 | 142,796 row 14 : 14 | london | on | 492,200 | 634,938 | 142,738 row 15 : 15 | fort wayne | in | 414,315 | 455,623 | 39,366 row 16 : 16 | st. catharines - niagara | on | 404,400 | 521,676 | 117,276 row 17 : 17 | windsor | on | 330,900 | 426,861 | 95,961 row 18 : 18 | erie | pa | 280,985 | nan | nan
table_csv/204_113.csv
2
{ "column_index": [ 1 ], "row_index": [ 2 ] }
[ "which of the areas are located in mi?", "of these, which have a population over 1,000,000?", "which of the remaining two has a higher projected population increase?" ]
2
detroit
[ "Rank", "Area", "State/ Province", "CSA/CMA 2009 population", "Projected 2025 population", "Projected increase 2009-2025" ]
which of the remaining two has a higher projected population increase?
[ [ "1", "Chicago", "IL-IN-WI", "9,804,845", "10,935,100", "1,130,255" ], [ "2", "Toronto", "ON", "5,741,400", "7,408,000", "1,666,600" ], [ "3", "Detroit", "MI", "5,327,764", "6,191,000", "863,236" ], [ "4", "Cleveland", "OH", "2,891,988", "3,172,000", "280,012" ], [ "5", "Milwaukee", "WI", "1,760,268", "1,913,000", "157,732" ], [ "6", "Ottawa - Gatineau", "ON-QC", "1,451,415", "1,596,556", "145,141" ], [ "7", "Grand Rapids", "MI", "1,327,366", "1,530,000", "202,634" ], [ "8", "Buffalo", "NY", "1,203,493", "1,040,400", "-163,093" ], [ "9", "Rochester", "NY", "1,149,653", "1,248,600", "98,947" ], [ "10", "Hamilton", "ON", "740,200", "954,858", "214,658" ], [ "11", "Toledo", "OH", "672,220", "672,220", "0" ], [ "12", "Lansing", "MI", "523,609", "547,325", "23,716" ], [ "13", "Kitchener - Cambridge - Waterloo", "ON", "492,400", "635,196", "142,796" ], [ "14", "London", "ON", "492,200", "634,938", "142,738" ], [ "15", "Fort Wayne", "IN", "414,315", "455,623", "39,366" ], [ "16", "St. Catharines - Niagara", "ON", "404,400", "521,676", "117,276" ], [ "17", "Windsor", "ON", "330,900", "426,861", "95,961" ], [ "18", "Erie", "PA", "280,985", "nan", "nan" ] ]
[ "Detroit" ]
which of the remaining two has a higher projected population increase? || of these, which have a population over 1,000,000? | which of the areas are located in mi?
ns-2710
col : rank | npc | gold | silver | bronze | total row 1 : 1 | china (chn) | 95 | 71 | 65 | 231 row 2 : 2 | russia (rus) | 36 | 38 | 28 | 102 row 3 : 3 | great britain (gbr)* | 34 | 43 | 43 | 120 row 4 : 4 | ukraine (ukr) | 32 | 24 | 28 | 84 row 5 : 5 | australia (aus) | 32 | 23 | 30 | 85 row 6 : 6 | united states (usa) | 31 | 29 | 38 | 98 row 7 : 7 | brazil (bra) | 21 | 14 | 8 | 43 row 8 : 8 | germany (ger) | 18 | 26 | 22 | 66 row 9 : 9 | poland (pol) | 14 | 13 | 9 | 36 row 10 : 10 | netherlands (ned) | 10 | 10 | 19 | 39 row 11 : total (75 npcs) | total (75 npcs) | 503 | 503 | 516 | 1522
table_csv/203_707.csv
0
{ "column_index": [ 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 ] }
[ "what are the number of bronze medals won by each country?" ]
0
65, 28, 43, 28, 30, 38, 8, 22, 9, 19
[ "Rank", "NPC", "Gold", "Silver", "Bronze", "Total" ]
what are the number of bronze medals won by each country?
[ [ "1", "China (CHN)", "95", "71", "65", "231" ], [ "2", "Russia (RUS)", "36", "38", "28", "102" ], [ "3", "Great Britain (GBR)*", "34", "43", "43", "120" ], [ "4", "Ukraine (UKR)", "32", "24", "28", "84" ], [ "5", "Australia (AUS)", "32", "23", "30", "85" ], [ "6", "United States (USA)", "31", "29", "38", "98" ], [ "7", "Brazil (BRA)", "21", "14", "8", "43" ], [ "8", "Germany (GER)", "18", "26", "22", "66" ], [ "9", "Poland (POL)", "14", "13", "9", "36" ], [ "10", "Netherlands (NED)", "10", "10", "19", "39" ], [ "Total (75 NPCs)", "Total (75 NPCs)", "503", "503", "516", "1522" ] ]
[ "65", "28", "43", "28", "30", "38", "8", "22", "9", "19" ]
what are the number of bronze medals won by each country? ||
ns-2710
col : rank | npc | gold | silver | bronze | total row 1 : 1 | china (chn) | 95 | 71 | 65 | 231 row 2 : 2 | russia (rus) | 36 | 38 | 28 | 102 row 3 : 3 | great britain (gbr)* | 34 | 43 | 43 | 120 row 4 : 4 | ukraine (ukr) | 32 | 24 | 28 | 84 row 5 : 5 | australia (aus) | 32 | 23 | 30 | 85 row 6 : 6 | united states (usa) | 31 | 29 | 38 | 98 row 7 : 7 | brazil (bra) | 21 | 14 | 8 | 43 row 8 : 8 | germany (ger) | 18 | 26 | 22 | 66 row 9 : 9 | poland (pol) | 14 | 13 | 9 | 36 row 10 : 10 | netherlands (ned) | 10 | 10 | 19 | 39 row 11 : total (75 npcs) | total (75 npcs) | 503 | 503 | 516 | 1522
table_csv/203_707.csv
1
{ "column_index": [ 4 ], "row_index": [ 6 ] }
[ "what are the number of bronze medals won by each country?", "what is the least number of these medals won?" ]
0
8
[ "Rank", "NPC", "Gold", "Silver", "Bronze", "Total" ]
what is the least number of these medals won?
[ [ "1", "China (CHN)", "95", "71", "65", "231" ], [ "2", "Russia (RUS)", "36", "38", "28", "102" ], [ "3", "Great Britain (GBR)*", "34", "43", "43", "120" ], [ "4", "Ukraine (UKR)", "32", "24", "28", "84" ], [ "5", "Australia (AUS)", "32", "23", "30", "85" ], [ "6", "United States (USA)", "31", "29", "38", "98" ], [ "7", "Brazil (BRA)", "21", "14", "8", "43" ], [ "8", "Germany (GER)", "18", "26", "22", "66" ], [ "9", "Poland (POL)", "14", "13", "9", "36" ], [ "10", "Netherlands (NED)", "10", "10", "19", "39" ], [ "Total (75 NPCs)", "Total (75 NPCs)", "503", "503", "516", "1522" ] ]
[ "8" ]
what is the least number of these medals won? || what are the number of bronze medals won by each country?
ns-2710
col : rank | npc | gold | silver | bronze | total row 1 : 1 | china (chn) | 95 | 71 | 65 | 231 row 2 : 2 | russia (rus) | 36 | 38 | 28 | 102 row 3 : 3 | great britain (gbr)* | 34 | 43 | 43 | 120 row 4 : 4 | ukraine (ukr) | 32 | 24 | 28 | 84 row 5 : 5 | australia (aus) | 32 | 23 | 30 | 85 row 6 : 6 | united states (usa) | 31 | 29 | 38 | 98 row 7 : 7 | brazil (bra) | 21 | 14 | 8 | 43 row 8 : 8 | germany (ger) | 18 | 26 | 22 | 66 row 9 : 9 | poland (pol) | 14 | 13 | 9 | 36 row 10 : 10 | netherlands (ned) | 10 | 10 | 19 | 39 row 11 : total (75 npcs) | total (75 npcs) | 503 | 503 | 516 | 1522
table_csv/203_707.csv
2
{ "column_index": [ 1 ], "row_index": [ 6 ] }
[ "what are the number of bronze medals won by each country?", "what is the least number of these medals won?", "what country won 8 bronze medals?" ]
0
brazil (bra)
[ "Rank", "NPC", "Gold", "Silver", "Bronze", "Total" ]
what country won 8 bronze medals?
[ [ "1", "China (CHN)", "95", "71", "65", "231" ], [ "2", "Russia (RUS)", "36", "38", "28", "102" ], [ "3", "Great Britain (GBR)*", "34", "43", "43", "120" ], [ "4", "Ukraine (UKR)", "32", "24", "28", "84" ], [ "5", "Australia (AUS)", "32", "23", "30", "85" ], [ "6", "United States (USA)", "31", "29", "38", "98" ], [ "7", "Brazil (BRA)", "21", "14", "8", "43" ], [ "8", "Germany (GER)", "18", "26", "22", "66" ], [ "9", "Poland (POL)", "14", "13", "9", "36" ], [ "10", "Netherlands (NED)", "10", "10", "19", "39" ], [ "Total (75 NPCs)", "Total (75 NPCs)", "503", "503", "516", "1522" ] ]
[ "Brazil (BRA)" ]
what country won 8 bronze medals? || what is the least number of these medals won? | what are the number of bronze medals won by each country?
ns-2710
col : rank | npc | gold | silver | bronze | total row 1 : 1 | china (chn) | 95 | 71 | 65 | 231 row 2 : 2 | russia (rus) | 36 | 38 | 28 | 102 row 3 : 3 | great britain (gbr)* | 34 | 43 | 43 | 120 row 4 : 4 | ukraine (ukr) | 32 | 24 | 28 | 84 row 5 : 5 | australia (aus) | 32 | 23 | 30 | 85 row 6 : 6 | united states (usa) | 31 | 29 | 38 | 98 row 7 : 7 | brazil (bra) | 21 | 14 | 8 | 43 row 8 : 8 | germany (ger) | 18 | 26 | 22 | 66 row 9 : 9 | poland (pol) | 14 | 13 | 9 | 36 row 10 : 10 | netherlands (ned) | 10 | 10 | 19 | 39 row 11 : total (75 npcs) | total (75 npcs) | 503 | 503 | 516 | 1522
table_csv/203_707.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 ] }
[ "what countries have won bronze metals ?" ]
1
china (chn), russia (rus), great britain (gbr)*, ukraine (ukr), australia (aus), united states (usa), brazil (bra), germany (ger), poland (pol), netherlands (ned)
[ "Rank", "NPC", "Gold", "Silver", "Bronze", "Total" ]
what countries have won bronze metals ?
[ [ "1", "China (CHN)", "95", "71", "65", "231" ], [ "2", "Russia (RUS)", "36", "38", "28", "102" ], [ "3", "Great Britain (GBR)*", "34", "43", "43", "120" ], [ "4", "Ukraine (UKR)", "32", "24", "28", "84" ], [ "5", "Australia (AUS)", "32", "23", "30", "85" ], [ "6", "United States (USA)", "31", "29", "38", "98" ], [ "7", "Brazil (BRA)", "21", "14", "8", "43" ], [ "8", "Germany (GER)", "18", "26", "22", "66" ], [ "9", "Poland (POL)", "14", "13", "9", "36" ], [ "10", "Netherlands (NED)", "10", "10", "19", "39" ], [ "Total (75 NPCs)", "Total (75 NPCs)", "503", "503", "516", "1522" ] ]
[ "China (CHN)", "Russia (RUS)", "Great Britain (GBR)*", "Ukraine (UKR)", "Australia (AUS)", "United States (USA)", "Brazil (BRA)", "Germany (GER)", "Poland (POL)", "Netherlands (NED)" ]
what countries have won bronze metals ? ||
ns-2710
col : rank | npc | gold | silver | bronze | total row 1 : 1 | china (chn) | 95 | 71 | 65 | 231 row 2 : 2 | russia (rus) | 36 | 38 | 28 | 102 row 3 : 3 | great britain (gbr)* | 34 | 43 | 43 | 120 row 4 : 4 | ukraine (ukr) | 32 | 24 | 28 | 84 row 5 : 5 | australia (aus) | 32 | 23 | 30 | 85 row 6 : 6 | united states (usa) | 31 | 29 | 38 | 98 row 7 : 7 | brazil (bra) | 21 | 14 | 8 | 43 row 8 : 8 | germany (ger) | 18 | 26 | 22 | 66 row 9 : 9 | poland (pol) | 14 | 13 | 9 | 36 row 10 : 10 | netherlands (ned) | 10 | 10 | 19 | 39 row 11 : total (75 npcs) | total (75 npcs) | 503 | 503 | 516 | 1522
table_csv/203_707.csv
1
{ "column_index": [ 1 ], "row_index": [ 6 ] }
[ "what countries have won bronze metals ?", "among these countries, who has the fewest bronze metals ?" ]
1
brazil (bra)
[ "Rank", "NPC", "Gold", "Silver", "Bronze", "Total" ]
among these countries, who has the fewest bronze metals ?
[ [ "1", "China (CHN)", "95", "71", "65", "231" ], [ "2", "Russia (RUS)", "36", "38", "28", "102" ], [ "3", "Great Britain (GBR)*", "34", "43", "43", "120" ], [ "4", "Ukraine (UKR)", "32", "24", "28", "84" ], [ "5", "Australia (AUS)", "32", "23", "30", "85" ], [ "6", "United States (USA)", "31", "29", "38", "98" ], [ "7", "Brazil (BRA)", "21", "14", "8", "43" ], [ "8", "Germany (GER)", "18", "26", "22", "66" ], [ "9", "Poland (POL)", "14", "13", "9", "36" ], [ "10", "Netherlands (NED)", "10", "10", "19", "39" ], [ "Total (75 NPCs)", "Total (75 NPCs)", "503", "503", "516", "1522" ] ]
[ "Brazil (BRA)" ]
among these countries, who has the fewest bronze metals ? || what countries have won bronze metals ?
ns-2710
col : rank | npc | gold | silver | bronze | total row 1 : 1 | china (chn) | 95 | 71 | 65 | 231 row 2 : 2 | russia (rus) | 36 | 38 | 28 | 102 row 3 : 3 | great britain (gbr)* | 34 | 43 | 43 | 120 row 4 : 4 | ukraine (ukr) | 32 | 24 | 28 | 84 row 5 : 5 | australia (aus) | 32 | 23 | 30 | 85 row 6 : 6 | united states (usa) | 31 | 29 | 38 | 98 row 7 : 7 | brazil (bra) | 21 | 14 | 8 | 43 row 8 : 8 | germany (ger) | 18 | 26 | 22 | 66 row 9 : 9 | poland (pol) | 14 | 13 | 9 | 36 row 10 : 10 | netherlands (ned) | 10 | 10 | 19 | 39 row 11 : total (75 npcs) | total (75 npcs) | 503 | 503 | 516 | 1522
table_csv/203_707.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 ] }
[ "which countries participated in the 2012 summer paralympics?" ]
2
china (chn), russia (rus), great britain (gbr)*, ukraine (ukr), australia (aus), united states (usa), brazil (bra), germany (ger), poland (pol), netherlands (ned)
[ "Rank", "NPC", "Gold", "Silver", "Bronze", "Total" ]
which countries participated in the 2012 summer paralympics?
[ [ "1", "China (CHN)", "95", "71", "65", "231" ], [ "2", "Russia (RUS)", "36", "38", "28", "102" ], [ "3", "Great Britain (GBR)*", "34", "43", "43", "120" ], [ "4", "Ukraine (UKR)", "32", "24", "28", "84" ], [ "5", "Australia (AUS)", "32", "23", "30", "85" ], [ "6", "United States (USA)", "31", "29", "38", "98" ], [ "7", "Brazil (BRA)", "21", "14", "8", "43" ], [ "8", "Germany (GER)", "18", "26", "22", "66" ], [ "9", "Poland (POL)", "14", "13", "9", "36" ], [ "10", "Netherlands (NED)", "10", "10", "19", "39" ], [ "Total (75 NPCs)", "Total (75 NPCs)", "503", "503", "516", "1522" ] ]
[ "China (CHN)", "Russia (RUS)", "Great Britain (GBR)*", "Ukraine (UKR)", "Australia (AUS)", "United States (USA)", "Brazil (BRA)", "Germany (GER)", "Poland (POL)", "Netherlands (NED)" ]
which countries participated in the 2012 summer paralympics? ||
ns-2710
col : rank | npc | gold | silver | bronze | total row 1 : 1 | china (chn) | 95 | 71 | 65 | 231 row 2 : 2 | russia (rus) | 36 | 38 | 28 | 102 row 3 : 3 | great britain (gbr)* | 34 | 43 | 43 | 120 row 4 : 4 | ukraine (ukr) | 32 | 24 | 28 | 84 row 5 : 5 | australia (aus) | 32 | 23 | 30 | 85 row 6 : 6 | united states (usa) | 31 | 29 | 38 | 98 row 7 : 7 | brazil (bra) | 21 | 14 | 8 | 43 row 8 : 8 | germany (ger) | 18 | 26 | 22 | 66 row 9 : 9 | poland (pol) | 14 | 13 | 9 | 36 row 10 : 10 | netherlands (ned) | 10 | 10 | 19 | 39 row 11 : total (75 npcs) | total (75 npcs) | 503 | 503 | 516 | 1522
table_csv/203_707.csv
1
{ "column_index": [ 1 ], "row_index": [ 6 ] }
[ "which countries participated in the 2012 summer paralympics?", "of these who earned the least amount of bronze medals?" ]
2
brazil (bra)
[ "Rank", "NPC", "Gold", "Silver", "Bronze", "Total" ]
of these who earned the least amount of bronze medals?
[ [ "1", "China (CHN)", "95", "71", "65", "231" ], [ "2", "Russia (RUS)", "36", "38", "28", "102" ], [ "3", "Great Britain (GBR)*", "34", "43", "43", "120" ], [ "4", "Ukraine (UKR)", "32", "24", "28", "84" ], [ "5", "Australia (AUS)", "32", "23", "30", "85" ], [ "6", "United States (USA)", "31", "29", "38", "98" ], [ "7", "Brazil (BRA)", "21", "14", "8", "43" ], [ "8", "Germany (GER)", "18", "26", "22", "66" ], [ "9", "Poland (POL)", "14", "13", "9", "36" ], [ "10", "Netherlands (NED)", "10", "10", "19", "39" ], [ "Total (75 NPCs)", "Total (75 NPCs)", "503", "503", "516", "1522" ] ]
[ "Brazil (BRA)" ]
of these who earned the least amount of bronze medals? || which countries participated in the 2012 summer paralympics?