id
stringlengths
4
8
struct_in
stringlengths
301
4.09k
table_file
stringlengths
19
21
position
int64
0
7
answer_coordinates
dict
question_and_history
list
annotator
int64
0
2
seq_out
stringlengths
1
1.73k
table_header
list
question
stringlengths
10
291
table_data
list
answer_text
list
text_in
stringlengths
19
565
nt-12630
col : season | level | division | place row 1 : 2001/02 | 4 | 3a | 4th row 2 : 2002/03 | 3 | 2ab | 20th row 3 : 2003/04 | 4 | 3a | 9th row 4 : 2004/05 | 4 | 3a | 2nd row 5 : 2005/06 | 4 | 3a | 3rd row 6 : 2006/07 | 4 | 3a | 7th row 7 : 2007/08 | 4 | 3a | 9th row 8 : 2008/09 | 4 | 3a | 14th row 9 : 2009/10 | 4 | 3a | 6th row 10 : 2010/11 | 4 | 3a | 19th row 11 : 2011/12 | 5 | reg. pref. | 18th row 12 : 2012/13 | 6 | 1a reg. | 15th row 13 : 2013/14 | 6 | 1a reg. | --
table_csv/204_717.csv
3
{ "column_index": [ 0 ], "row_index": [ 10 ] }
[ "what were all the seasons of ribadesella cf?", "in those, what were their table positions?", "of those, which were 18th?", "which season did they finish that position?" ]
2
2011/12
[ "Season", "Level", "Division", "Place" ]
which season did they finish that position?
[ [ "2001/02", "4", "3a", "4th" ], [ "2002/03", "3", "2aB", "20th" ], [ "2003/04", "4", "3a", "9th" ], [ "2004/05", "4", "3a", "2nd" ], [ "2005/06", "4", "3a", "3rd" ], [ "2006/07", "4", "3a", "7th" ], [ "2007/08", "4", "3a", "9th" ], [ "2008/09", "4", "3a", "14th" ], [ "2009/10", "4", "3a", "6th" ], [ "2010/11", "4", "3a", "19th" ], [ "2011/12", "5", "Reg. Pref.", "18th" ], [ "2012/13", "6", "1a Reg.", "15th" ], [ "2013/14", "6", "1a Reg.", "--" ] ]
[ "2011/12" ]
which season did they finish that position? || of those, which were 18th? | in those, what were their table positions? | what were all the seasons of ribadesella cf?
nt-9570
col : rank | diver | preliminary points | preliminary rank | final points | final rank | final total row 1 : nan | ingrid kramer (eua) | 56.3 | 1 | 34.98 | 2.0 | 91.28 row 2 : nan | paula jean myers-pope (usa) | 54.7 | 2 | 35.24 | 1.0 | 89.94 row 3 : nan | ninel krutova (urs) | 53.38 | 3 | 33.61 | 3.0 | 86.99 row 4 : 4.0 | juno stover-irwin (usa) | 51.9 | 6 | 31.69 | 4.0 | 83.59 row 5 : 5.0 | raisa gorokhovskaya (urs) | 51.53 | 8 | 31.5 | 5.0 | 83.03 row 6 : 6.0 | norma thomas (gbr) | 51.77 | 7 | 30.44 | 7.0 | 82.21 row 7 : 7.0 | nicolle darrigrand-pellissard (fra | 49.68 | 12 | 31.5 | 5.0 | 81.18 row 8 : 8.0 | phyllis long (gbr) | 52.12 | 5 | 28.86 | 9.0 | 80.98 row 9 : 9.0 | irene macdonald (can) | 51.31 | 9 | 29.18 | 8.0 | 80.49 row 10 : 10.0 | kumiko watanabe (jpn) | 51.04 | 10 | 28.56 | 10.0 | 79.6 row 11 : 11.0 | kanoko tsutani-mabuchi (jpn | 49.76 | 11 | 28.14 | 11.0 | 77.9 row 12 : 12.0 | birte christoffersen-hanson (swe) | 53.03 | 4 | 24.4 | 12.0 | 77.43 row 13 : 13.0 | maria teresa adames (mex) | 49.54 | 13 | nan | nan | nan row 14 : 14.0 | hanna laursen (den) | 48.89 | 14 | nan | nan | nan row 15 : 15.0 | gabriele schope (eua) | 48.81 | 15 | nan | nan | nan row 16 : 16.0 | bende velin (den) | 48.35 | 16 | nan | nan | nan row 17 : 17.0 | laura conter (ita) | 45.55 | 17 | nan | nan | nan row 18 : 18.0 | susan knight (aus) | 43.03 | 18 | nan | nan | nan
table_csv/203_780.csv
0
{ "column_index": [ 1, 1, 1 ], "row_index": [ 0, 1, 2 ] }
[ "which divers had preliminary points higher than 52?" ]
0
ingrid kramer (eua), paula jean myers-pope (usa), ninel krutova (urs)
[ "Rank", "Diver", "Preliminary Points", "Preliminary Rank", "Final Points", "Final Rank", "Final Total" ]
which divers had preliminary points higher than 52?
[ [ "nan", "Ingrid Kramer (EUA)", "56.3", "1", "34.98", "2.0", "91.28" ], [ "nan", "Paula Jean Myers-Pope (USA)", "54.7", "2", "35.24", "1.0", "89.94" ], [ "nan", "Ninel Krutova (URS)", "53.38", "3", "33.61", "3.0", "86.99" ], [ "4.0", "Juno Stover-Irwin (USA)", "51.9", "6", "31.69", "4.0", "83.59" ], [ "5.0", "Raisa Gorokhovskaya (URS)", "51.53", "8", "31.5", "5.0", "83.03" ], [ "6.0", "Norma Thomas (GBR)", "51.77", "7", "30.44", "7.0", "82.21" ], [ "7.0", "Nicolle Darrigrand-Pellissard (FRA", "49.68", "12", "31.5", "5.0", "81.18" ], [ "8.0", "Phyllis Long (GBR)", "52.12", "5", "28.86", "9.0", "80.98" ], [ "9.0", "Irene MacDonald (CAN)", "51.31", "9", "29.18", "8.0", "80.49" ], [ "10.0", "Kumiko Watanabe (JPN)", "51.04", "10", "28.56", "10.0", "79.6" ], [ "11.0", "Kanoko Tsutani-Mabuchi (JPN", "49.76", "11", "28.14", "11.0", "77.9" ], [ "12.0", "Birte Christoffersen-Hanson (SWE)", "53.03", "4", "24.4", "12.0", "77.43" ], [ "13.0", "Maria Teresa Adames (MEX)", "49.54", "13", "nan", "nan", "nan" ], [ "14.0", "Hanna Laursen (DEN)", "48.89", "14", "nan", "nan", "nan" ], [ "15.0", "Gabriele Schope (EUA)", "48.81", "15", "nan", "nan", "nan" ], [ "16.0", "Bende Velin (DEN)", "48.35", "16", "nan", "nan", "nan" ], [ "17.0", "Laura Conter (ITA)", "45.55", "17", "nan", "nan", "nan" ], [ "18.0", "Susan Knight (AUS)", "43.03", "18", "nan", "nan", "nan" ] ]
[ "Ingrid Kramer (EUA)", "Paula Jean Myers-Pope (USA)", "Ninel Krutova (URS)" ]
which divers had preliminary points higher than 52? ||
nt-9570
col : rank | diver | preliminary points | preliminary rank | final points | final rank | final total row 1 : nan | ingrid kramer (eua) | 56.3 | 1 | 34.98 | 2.0 | 91.28 row 2 : nan | paula jean myers-pope (usa) | 54.7 | 2 | 35.24 | 1.0 | 89.94 row 3 : nan | ninel krutova (urs) | 53.38 | 3 | 33.61 | 3.0 | 86.99 row 4 : 4.0 | juno stover-irwin (usa) | 51.9 | 6 | 31.69 | 4.0 | 83.59 row 5 : 5.0 | raisa gorokhovskaya (urs) | 51.53 | 8 | 31.5 | 5.0 | 83.03 row 6 : 6.0 | norma thomas (gbr) | 51.77 | 7 | 30.44 | 7.0 | 82.21 row 7 : 7.0 | nicolle darrigrand-pellissard (fra | 49.68 | 12 | 31.5 | 5.0 | 81.18 row 8 : 8.0 | phyllis long (gbr) | 52.12 | 5 | 28.86 | 9.0 | 80.98 row 9 : 9.0 | irene macdonald (can) | 51.31 | 9 | 29.18 | 8.0 | 80.49 row 10 : 10.0 | kumiko watanabe (jpn) | 51.04 | 10 | 28.56 | 10.0 | 79.6 row 11 : 11.0 | kanoko tsutani-mabuchi (jpn | 49.76 | 11 | 28.14 | 11.0 | 77.9 row 12 : 12.0 | birte christoffersen-hanson (swe) | 53.03 | 4 | 24.4 | 12.0 | 77.43 row 13 : 13.0 | maria teresa adames (mex) | 49.54 | 13 | nan | nan | nan row 14 : 14.0 | hanna laursen (den) | 48.89 | 14 | nan | nan | nan row 15 : 15.0 | gabriele schope (eua) | 48.81 | 15 | nan | nan | nan row 16 : 16.0 | bende velin (den) | 48.35 | 16 | nan | nan | nan row 17 : 17.0 | laura conter (ita) | 45.55 | 17 | nan | nan | nan row 18 : 18.0 | susan knight (aus) | 43.03 | 18 | nan | nan | nan
table_csv/203_780.csv
1
{ "column_index": [ 1 ], "row_index": [ 2 ] }
[ "which divers had preliminary points higher than 52?", "which of the divers were from the usa?" ]
0
ninel krutova (urs)
[ "Rank", "Diver", "Preliminary Points", "Preliminary Rank", "Final Points", "Final Rank", "Final Total" ]
which of the divers were from the usa?
[ [ "nan", "Ingrid Kramer (EUA)", "56.3", "1", "34.98", "2.0", "91.28" ], [ "nan", "Paula Jean Myers-Pope (USA)", "54.7", "2", "35.24", "1.0", "89.94" ], [ "nan", "Ninel Krutova (URS)", "53.38", "3", "33.61", "3.0", "86.99" ], [ "4.0", "Juno Stover-Irwin (USA)", "51.9", "6", "31.69", "4.0", "83.59" ], [ "5.0", "Raisa Gorokhovskaya (URS)", "51.53", "8", "31.5", "5.0", "83.03" ], [ "6.0", "Norma Thomas (GBR)", "51.77", "7", "30.44", "7.0", "82.21" ], [ "7.0", "Nicolle Darrigrand-Pellissard (FRA", "49.68", "12", "31.5", "5.0", "81.18" ], [ "8.0", "Phyllis Long (GBR)", "52.12", "5", "28.86", "9.0", "80.98" ], [ "9.0", "Irene MacDonald (CAN)", "51.31", "9", "29.18", "8.0", "80.49" ], [ "10.0", "Kumiko Watanabe (JPN)", "51.04", "10", "28.56", "10.0", "79.6" ], [ "11.0", "Kanoko Tsutani-Mabuchi (JPN", "49.76", "11", "28.14", "11.0", "77.9" ], [ "12.0", "Birte Christoffersen-Hanson (SWE)", "53.03", "4", "24.4", "12.0", "77.43" ], [ "13.0", "Maria Teresa Adames (MEX)", "49.54", "13", "nan", "nan", "nan" ], [ "14.0", "Hanna Laursen (DEN)", "48.89", "14", "nan", "nan", "nan" ], [ "15.0", "Gabriele Schope (EUA)", "48.81", "15", "nan", "nan", "nan" ], [ "16.0", "Bende Velin (DEN)", "48.35", "16", "nan", "nan", "nan" ], [ "17.0", "Laura Conter (ITA)", "45.55", "17", "nan", "nan", "nan" ], [ "18.0", "Susan Knight (AUS)", "43.03", "18", "nan", "nan", "nan" ] ]
[ "Ninel Krutova (URS)" ]
which of the divers were from the usa? || which divers had preliminary points higher than 52?
nt-9570
col : rank | diver | preliminary points | preliminary rank | final points | final rank | final total row 1 : nan | ingrid kramer (eua) | 56.3 | 1 | 34.98 | 2.0 | 91.28 row 2 : nan | paula jean myers-pope (usa) | 54.7 | 2 | 35.24 | 1.0 | 89.94 row 3 : nan | ninel krutova (urs) | 53.38 | 3 | 33.61 | 3.0 | 86.99 row 4 : 4.0 | juno stover-irwin (usa) | 51.9 | 6 | 31.69 | 4.0 | 83.59 row 5 : 5.0 | raisa gorokhovskaya (urs) | 51.53 | 8 | 31.5 | 5.0 | 83.03 row 6 : 6.0 | norma thomas (gbr) | 51.77 | 7 | 30.44 | 7.0 | 82.21 row 7 : 7.0 | nicolle darrigrand-pellissard (fra | 49.68 | 12 | 31.5 | 5.0 | 81.18 row 8 : 8.0 | phyllis long (gbr) | 52.12 | 5 | 28.86 | 9.0 | 80.98 row 9 : 9.0 | irene macdonald (can) | 51.31 | 9 | 29.18 | 8.0 | 80.49 row 10 : 10.0 | kumiko watanabe (jpn) | 51.04 | 10 | 28.56 | 10.0 | 79.6 row 11 : 11.0 | kanoko tsutani-mabuchi (jpn | 49.76 | 11 | 28.14 | 11.0 | 77.9 row 12 : 12.0 | birte christoffersen-hanson (swe) | 53.03 | 4 | 24.4 | 12.0 | 77.43 row 13 : 13.0 | maria teresa adames (mex) | 49.54 | 13 | nan | nan | nan row 14 : 14.0 | hanna laursen (den) | 48.89 | 14 | nan | nan | nan row 15 : 15.0 | gabriele schope (eua) | 48.81 | 15 | nan | nan | nan row 16 : 16.0 | bende velin (den) | 48.35 | 16 | nan | nan | nan row 17 : 17.0 | laura conter (ita) | 45.55 | 17 | nan | nan | nan row 18 : 18.0 | susan knight (aus) | 43.03 | 18 | nan | nan | nan
table_csv/203_780.csv
2
{ "column_index": [ 1 ], "row_index": [ 1 ] }
[ "which divers had preliminary points higher than 52?", "which of the divers were from the usa?", "of the two remaining divers which had the higher final points?" ]
0
paula jean myers-pope (usa)
[ "Rank", "Diver", "Preliminary Points", "Preliminary Rank", "Final Points", "Final Rank", "Final Total" ]
of the two remaining divers which had the higher final points?
[ [ "nan", "Ingrid Kramer (EUA)", "56.3", "1", "34.98", "2.0", "91.28" ], [ "nan", "Paula Jean Myers-Pope (USA)", "54.7", "2", "35.24", "1.0", "89.94" ], [ "nan", "Ninel Krutova (URS)", "53.38", "3", "33.61", "3.0", "86.99" ], [ "4.0", "Juno Stover-Irwin (USA)", "51.9", "6", "31.69", "4.0", "83.59" ], [ "5.0", "Raisa Gorokhovskaya (URS)", "51.53", "8", "31.5", "5.0", "83.03" ], [ "6.0", "Norma Thomas (GBR)", "51.77", "7", "30.44", "7.0", "82.21" ], [ "7.0", "Nicolle Darrigrand-Pellissard (FRA", "49.68", "12", "31.5", "5.0", "81.18" ], [ "8.0", "Phyllis Long (GBR)", "52.12", "5", "28.86", "9.0", "80.98" ], [ "9.0", "Irene MacDonald (CAN)", "51.31", "9", "29.18", "8.0", "80.49" ], [ "10.0", "Kumiko Watanabe (JPN)", "51.04", "10", "28.56", "10.0", "79.6" ], [ "11.0", "Kanoko Tsutani-Mabuchi (JPN", "49.76", "11", "28.14", "11.0", "77.9" ], [ "12.0", "Birte Christoffersen-Hanson (SWE)", "53.03", "4", "24.4", "12.0", "77.43" ], [ "13.0", "Maria Teresa Adames (MEX)", "49.54", "13", "nan", "nan", "nan" ], [ "14.0", "Hanna Laursen (DEN)", "48.89", "14", "nan", "nan", "nan" ], [ "15.0", "Gabriele Schope (EUA)", "48.81", "15", "nan", "nan", "nan" ], [ "16.0", "Bende Velin (DEN)", "48.35", "16", "nan", "nan", "nan" ], [ "17.0", "Laura Conter (ITA)", "45.55", "17", "nan", "nan", "nan" ], [ "18.0", "Susan Knight (AUS)", "43.03", "18", "nan", "nan", "nan" ] ]
[ "Paula Jean Myers-Pope (USA)" ]
of the two remaining divers which had the higher final points? || which of the divers were from the usa? | which divers had preliminary points higher than 52?
nt-9570
col : rank | diver | preliminary points | preliminary rank | final points | final rank | final total row 1 : nan | ingrid kramer (eua) | 56.3 | 1 | 34.98 | 2.0 | 91.28 row 2 : nan | paula jean myers-pope (usa) | 54.7 | 2 | 35.24 | 1.0 | 89.94 row 3 : nan | ninel krutova (urs) | 53.38 | 3 | 33.61 | 3.0 | 86.99 row 4 : 4.0 | juno stover-irwin (usa) | 51.9 | 6 | 31.69 | 4.0 | 83.59 row 5 : 5.0 | raisa gorokhovskaya (urs) | 51.53 | 8 | 31.5 | 5.0 | 83.03 row 6 : 6.0 | norma thomas (gbr) | 51.77 | 7 | 30.44 | 7.0 | 82.21 row 7 : 7.0 | nicolle darrigrand-pellissard (fra | 49.68 | 12 | 31.5 | 5.0 | 81.18 row 8 : 8.0 | phyllis long (gbr) | 52.12 | 5 | 28.86 | 9.0 | 80.98 row 9 : 9.0 | irene macdonald (can) | 51.31 | 9 | 29.18 | 8.0 | 80.49 row 10 : 10.0 | kumiko watanabe (jpn) | 51.04 | 10 | 28.56 | 10.0 | 79.6 row 11 : 11.0 | kanoko tsutani-mabuchi (jpn | 49.76 | 11 | 28.14 | 11.0 | 77.9 row 12 : 12.0 | birte christoffersen-hanson (swe) | 53.03 | 4 | 24.4 | 12.0 | 77.43 row 13 : 13.0 | maria teresa adames (mex) | 49.54 | 13 | nan | nan | nan row 14 : 14.0 | hanna laursen (den) | 48.89 | 14 | nan | nan | nan row 15 : 15.0 | gabriele schope (eua) | 48.81 | 15 | nan | nan | nan row 16 : 16.0 | bende velin (den) | 48.35 | 16 | nan | nan | nan row 17 : 17.0 | laura conter (ita) | 45.55 | 17 | nan | nan | nan row 18 : 18.0 | susan knight (aus) | 43.03 | 18 | nan | nan | nan
table_csv/203_780.csv
0
{ "column_index": [ 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11 ] }
[ "what are all of the final scores?" ]
1
34.98, 35.24, 33.61, 31.69, 31.50, 30.44, 31.50, 28.86, 29.18, 28.56, 28.14, 24.40
[ "Rank", "Diver", "Preliminary Points", "Preliminary Rank", "Final Points", "Final Rank", "Final Total" ]
what are all of the final scores?
[ [ "nan", "Ingrid Kramer (EUA)", "56.3", "1", "34.98", "2.0", "91.28" ], [ "nan", "Paula Jean Myers-Pope (USA)", "54.7", "2", "35.24", "1.0", "89.94" ], [ "nan", "Ninel Krutova (URS)", "53.38", "3", "33.61", "3.0", "86.99" ], [ "4.0", "Juno Stover-Irwin (USA)", "51.9", "6", "31.69", "4.0", "83.59" ], [ "5.0", "Raisa Gorokhovskaya (URS)", "51.53", "8", "31.5", "5.0", "83.03" ], [ "6.0", "Norma Thomas (GBR)", "51.77", "7", "30.44", "7.0", "82.21" ], [ "7.0", "Nicolle Darrigrand-Pellissard (FRA", "49.68", "12", "31.5", "5.0", "81.18" ], [ "8.0", "Phyllis Long (GBR)", "52.12", "5", "28.86", "9.0", "80.98" ], [ "9.0", "Irene MacDonald (CAN)", "51.31", "9", "29.18", "8.0", "80.49" ], [ "10.0", "Kumiko Watanabe (JPN)", "51.04", "10", "28.56", "10.0", "79.6" ], [ "11.0", "Kanoko Tsutani-Mabuchi (JPN", "49.76", "11", "28.14", "11.0", "77.9" ], [ "12.0", "Birte Christoffersen-Hanson (SWE)", "53.03", "4", "24.4", "12.0", "77.43" ], [ "13.0", "Maria Teresa Adames (MEX)", "49.54", "13", "nan", "nan", "nan" ], [ "14.0", "Hanna Laursen (DEN)", "48.89", "14", "nan", "nan", "nan" ], [ "15.0", "Gabriele Schope (EUA)", "48.81", "15", "nan", "nan", "nan" ], [ "16.0", "Bende Velin (DEN)", "48.35", "16", "nan", "nan", "nan" ], [ "17.0", "Laura Conter (ITA)", "45.55", "17", "nan", "nan", "nan" ], [ "18.0", "Susan Knight (AUS)", "43.03", "18", "nan", "nan", "nan" ] ]
[ "34.98", "35.24", "33.61", "31.69", "31.50", "30.44", "31.50", "28.86", "29.18", "28.56", "28.14", "24.40" ]
what are all of the final scores? ||
nt-9570
col : rank | diver | preliminary points | preliminary rank | final points | final rank | final total row 1 : nan | ingrid kramer (eua) | 56.3 | 1 | 34.98 | 2.0 | 91.28 row 2 : nan | paula jean myers-pope (usa) | 54.7 | 2 | 35.24 | 1.0 | 89.94 row 3 : nan | ninel krutova (urs) | 53.38 | 3 | 33.61 | 3.0 | 86.99 row 4 : 4.0 | juno stover-irwin (usa) | 51.9 | 6 | 31.69 | 4.0 | 83.59 row 5 : 5.0 | raisa gorokhovskaya (urs) | 51.53 | 8 | 31.5 | 5.0 | 83.03 row 6 : 6.0 | norma thomas (gbr) | 51.77 | 7 | 30.44 | 7.0 | 82.21 row 7 : 7.0 | nicolle darrigrand-pellissard (fra | 49.68 | 12 | 31.5 | 5.0 | 81.18 row 8 : 8.0 | phyllis long (gbr) | 52.12 | 5 | 28.86 | 9.0 | 80.98 row 9 : 9.0 | irene macdonald (can) | 51.31 | 9 | 29.18 | 8.0 | 80.49 row 10 : 10.0 | kumiko watanabe (jpn) | 51.04 | 10 | 28.56 | 10.0 | 79.6 row 11 : 11.0 | kanoko tsutani-mabuchi (jpn | 49.76 | 11 | 28.14 | 11.0 | 77.9 row 12 : 12.0 | birte christoffersen-hanson (swe) | 53.03 | 4 | 24.4 | 12.0 | 77.43 row 13 : 13.0 | maria teresa adames (mex) | 49.54 | 13 | nan | nan | nan row 14 : 14.0 | hanna laursen (den) | 48.89 | 14 | nan | nan | nan row 15 : 15.0 | gabriele schope (eua) | 48.81 | 15 | nan | nan | nan row 16 : 16.0 | bende velin (den) | 48.35 | 16 | nan | nan | nan row 17 : 17.0 | laura conter (ita) | 45.55 | 17 | nan | nan | nan row 18 : 18.0 | susan knight (aus) | 43.03 | 18 | nan | nan | nan
table_csv/203_780.csv
1
{ "column_index": [ 4 ], "row_index": [ 0 ] }
[ "what are all of the final scores?", "which score is ingrid kramer's?" ]
1
34.98
[ "Rank", "Diver", "Preliminary Points", "Preliminary Rank", "Final Points", "Final Rank", "Final Total" ]
which score is ingrid kramer's?
[ [ "nan", "Ingrid Kramer (EUA)", "56.3", "1", "34.98", "2.0", "91.28" ], [ "nan", "Paula Jean Myers-Pope (USA)", "54.7", "2", "35.24", "1.0", "89.94" ], [ "nan", "Ninel Krutova (URS)", "53.38", "3", "33.61", "3.0", "86.99" ], [ "4.0", "Juno Stover-Irwin (USA)", "51.9", "6", "31.69", "4.0", "83.59" ], [ "5.0", "Raisa Gorokhovskaya (URS)", "51.53", "8", "31.5", "5.0", "83.03" ], [ "6.0", "Norma Thomas (GBR)", "51.77", "7", "30.44", "7.0", "82.21" ], [ "7.0", "Nicolle Darrigrand-Pellissard (FRA", "49.68", "12", "31.5", "5.0", "81.18" ], [ "8.0", "Phyllis Long (GBR)", "52.12", "5", "28.86", "9.0", "80.98" ], [ "9.0", "Irene MacDonald (CAN)", "51.31", "9", "29.18", "8.0", "80.49" ], [ "10.0", "Kumiko Watanabe (JPN)", "51.04", "10", "28.56", "10.0", "79.6" ], [ "11.0", "Kanoko Tsutani-Mabuchi (JPN", "49.76", "11", "28.14", "11.0", "77.9" ], [ "12.0", "Birte Christoffersen-Hanson (SWE)", "53.03", "4", "24.4", "12.0", "77.43" ], [ "13.0", "Maria Teresa Adames (MEX)", "49.54", "13", "nan", "nan", "nan" ], [ "14.0", "Hanna Laursen (DEN)", "48.89", "14", "nan", "nan", "nan" ], [ "15.0", "Gabriele Schope (EUA)", "48.81", "15", "nan", "nan", "nan" ], [ "16.0", "Bende Velin (DEN)", "48.35", "16", "nan", "nan", "nan" ], [ "17.0", "Laura Conter (ITA)", "45.55", "17", "nan", "nan", "nan" ], [ "18.0", "Susan Knight (AUS)", "43.03", "18", "nan", "nan", "nan" ] ]
[ "34.98" ]
which score is ingrid kramer's? || what are all of the final scores?
nt-9570
col : rank | diver | preliminary points | preliminary rank | final points | final rank | final total row 1 : nan | ingrid kramer (eua) | 56.3 | 1 | 34.98 | 2.0 | 91.28 row 2 : nan | paula jean myers-pope (usa) | 54.7 | 2 | 35.24 | 1.0 | 89.94 row 3 : nan | ninel krutova (urs) | 53.38 | 3 | 33.61 | 3.0 | 86.99 row 4 : 4.0 | juno stover-irwin (usa) | 51.9 | 6 | 31.69 | 4.0 | 83.59 row 5 : 5.0 | raisa gorokhovskaya (urs) | 51.53 | 8 | 31.5 | 5.0 | 83.03 row 6 : 6.0 | norma thomas (gbr) | 51.77 | 7 | 30.44 | 7.0 | 82.21 row 7 : 7.0 | nicolle darrigrand-pellissard (fra | 49.68 | 12 | 31.5 | 5.0 | 81.18 row 8 : 8.0 | phyllis long (gbr) | 52.12 | 5 | 28.86 | 9.0 | 80.98 row 9 : 9.0 | irene macdonald (can) | 51.31 | 9 | 29.18 | 8.0 | 80.49 row 10 : 10.0 | kumiko watanabe (jpn) | 51.04 | 10 | 28.56 | 10.0 | 79.6 row 11 : 11.0 | kanoko tsutani-mabuchi (jpn | 49.76 | 11 | 28.14 | 11.0 | 77.9 row 12 : 12.0 | birte christoffersen-hanson (swe) | 53.03 | 4 | 24.4 | 12.0 | 77.43 row 13 : 13.0 | maria teresa adames (mex) | 49.54 | 13 | nan | nan | nan row 14 : 14.0 | hanna laursen (den) | 48.89 | 14 | nan | nan | nan row 15 : 15.0 | gabriele schope (eua) | 48.81 | 15 | nan | nan | nan row 16 : 16.0 | bende velin (den) | 48.35 | 16 | nan | nan | nan row 17 : 17.0 | laura conter (ita) | 45.55 | 17 | nan | nan | nan row 18 : 18.0 | susan knight (aus) | 43.03 | 18 | nan | nan | nan
table_csv/203_780.csv
2
{ "column_index": [ 4 ], "row_index": [ 1 ] }
[ "what are all of the final scores?", "which score is ingrid kramer's?", "what score(s) are more points than this?" ]
1
35.24
[ "Rank", "Diver", "Preliminary Points", "Preliminary Rank", "Final Points", "Final Rank", "Final Total" ]
what score(s) are more points than this?
[ [ "nan", "Ingrid Kramer (EUA)", "56.3", "1", "34.98", "2.0", "91.28" ], [ "nan", "Paula Jean Myers-Pope (USA)", "54.7", "2", "35.24", "1.0", "89.94" ], [ "nan", "Ninel Krutova (URS)", "53.38", "3", "33.61", "3.0", "86.99" ], [ "4.0", "Juno Stover-Irwin (USA)", "51.9", "6", "31.69", "4.0", "83.59" ], [ "5.0", "Raisa Gorokhovskaya (URS)", "51.53", "8", "31.5", "5.0", "83.03" ], [ "6.0", "Norma Thomas (GBR)", "51.77", "7", "30.44", "7.0", "82.21" ], [ "7.0", "Nicolle Darrigrand-Pellissard (FRA", "49.68", "12", "31.5", "5.0", "81.18" ], [ "8.0", "Phyllis Long (GBR)", "52.12", "5", "28.86", "9.0", "80.98" ], [ "9.0", "Irene MacDonald (CAN)", "51.31", "9", "29.18", "8.0", "80.49" ], [ "10.0", "Kumiko Watanabe (JPN)", "51.04", "10", "28.56", "10.0", "79.6" ], [ "11.0", "Kanoko Tsutani-Mabuchi (JPN", "49.76", "11", "28.14", "11.0", "77.9" ], [ "12.0", "Birte Christoffersen-Hanson (SWE)", "53.03", "4", "24.4", "12.0", "77.43" ], [ "13.0", "Maria Teresa Adames (MEX)", "49.54", "13", "nan", "nan", "nan" ], [ "14.0", "Hanna Laursen (DEN)", "48.89", "14", "nan", "nan", "nan" ], [ "15.0", "Gabriele Schope (EUA)", "48.81", "15", "nan", "nan", "nan" ], [ "16.0", "Bende Velin (DEN)", "48.35", "16", "nan", "nan", "nan" ], [ "17.0", "Laura Conter (ITA)", "45.55", "17", "nan", "nan", "nan" ], [ "18.0", "Susan Knight (AUS)", "43.03", "18", "nan", "nan", "nan" ] ]
[ "35.24" ]
what score(s) are more points than this? || which score is ingrid kramer's? | what are all of the final scores?
nt-9570
col : rank | diver | preliminary points | preliminary rank | final points | final rank | final total row 1 : nan | ingrid kramer (eua) | 56.3 | 1 | 34.98 | 2.0 | 91.28 row 2 : nan | paula jean myers-pope (usa) | 54.7 | 2 | 35.24 | 1.0 | 89.94 row 3 : nan | ninel krutova (urs) | 53.38 | 3 | 33.61 | 3.0 | 86.99 row 4 : 4.0 | juno stover-irwin (usa) | 51.9 | 6 | 31.69 | 4.0 | 83.59 row 5 : 5.0 | raisa gorokhovskaya (urs) | 51.53 | 8 | 31.5 | 5.0 | 83.03 row 6 : 6.0 | norma thomas (gbr) | 51.77 | 7 | 30.44 | 7.0 | 82.21 row 7 : 7.0 | nicolle darrigrand-pellissard (fra | 49.68 | 12 | 31.5 | 5.0 | 81.18 row 8 : 8.0 | phyllis long (gbr) | 52.12 | 5 | 28.86 | 9.0 | 80.98 row 9 : 9.0 | irene macdonald (can) | 51.31 | 9 | 29.18 | 8.0 | 80.49 row 10 : 10.0 | kumiko watanabe (jpn) | 51.04 | 10 | 28.56 | 10.0 | 79.6 row 11 : 11.0 | kanoko tsutani-mabuchi (jpn | 49.76 | 11 | 28.14 | 11.0 | 77.9 row 12 : 12.0 | birte christoffersen-hanson (swe) | 53.03 | 4 | 24.4 | 12.0 | 77.43 row 13 : 13.0 | maria teresa adames (mex) | 49.54 | 13 | nan | nan | nan row 14 : 14.0 | hanna laursen (den) | 48.89 | 14 | nan | nan | nan row 15 : 15.0 | gabriele schope (eua) | 48.81 | 15 | nan | nan | nan row 16 : 16.0 | bende velin (den) | 48.35 | 16 | nan | nan | nan row 17 : 17.0 | laura conter (ita) | 45.55 | 17 | nan | nan | nan row 18 : 18.0 | susan knight (aus) | 43.03 | 18 | nan | nan | nan
table_csv/203_780.csv
3
{ "column_index": [ 1 ], "row_index": [ 1 ] }
[ "what are all of the final scores?", "which score is ingrid kramer's?", "what score(s) are more points than this?", "who had this number of final points?" ]
1
paula jean myers-pope (usa)
[ "Rank", "Diver", "Preliminary Points", "Preliminary Rank", "Final Points", "Final Rank", "Final Total" ]
who had this number of final points?
[ [ "nan", "Ingrid Kramer (EUA)", "56.3", "1", "34.98", "2.0", "91.28" ], [ "nan", "Paula Jean Myers-Pope (USA)", "54.7", "2", "35.24", "1.0", "89.94" ], [ "nan", "Ninel Krutova (URS)", "53.38", "3", "33.61", "3.0", "86.99" ], [ "4.0", "Juno Stover-Irwin (USA)", "51.9", "6", "31.69", "4.0", "83.59" ], [ "5.0", "Raisa Gorokhovskaya (URS)", "51.53", "8", "31.5", "5.0", "83.03" ], [ "6.0", "Norma Thomas (GBR)", "51.77", "7", "30.44", "7.0", "82.21" ], [ "7.0", "Nicolle Darrigrand-Pellissard (FRA", "49.68", "12", "31.5", "5.0", "81.18" ], [ "8.0", "Phyllis Long (GBR)", "52.12", "5", "28.86", "9.0", "80.98" ], [ "9.0", "Irene MacDonald (CAN)", "51.31", "9", "29.18", "8.0", "80.49" ], [ "10.0", "Kumiko Watanabe (JPN)", "51.04", "10", "28.56", "10.0", "79.6" ], [ "11.0", "Kanoko Tsutani-Mabuchi (JPN", "49.76", "11", "28.14", "11.0", "77.9" ], [ "12.0", "Birte Christoffersen-Hanson (SWE)", "53.03", "4", "24.4", "12.0", "77.43" ], [ "13.0", "Maria Teresa Adames (MEX)", "49.54", "13", "nan", "nan", "nan" ], [ "14.0", "Hanna Laursen (DEN)", "48.89", "14", "nan", "nan", "nan" ], [ "15.0", "Gabriele Schope (EUA)", "48.81", "15", "nan", "nan", "nan" ], [ "16.0", "Bende Velin (DEN)", "48.35", "16", "nan", "nan", "nan" ], [ "17.0", "Laura Conter (ITA)", "45.55", "17", "nan", "nan", "nan" ], [ "18.0", "Susan Knight (AUS)", "43.03", "18", "nan", "nan", "nan" ] ]
[ "Paula Jean Myers-Pope (USA)" ]
who had this number of final points? || what score(s) are more points than this? | which score is ingrid kramer's? | what are all of the final scores?
nt-9570
col : rank | diver | preliminary points | preliminary rank | final points | final rank | final total row 1 : nan | ingrid kramer (eua) | 56.3 | 1 | 34.98 | 2.0 | 91.28 row 2 : nan | paula jean myers-pope (usa) | 54.7 | 2 | 35.24 | 1.0 | 89.94 row 3 : nan | ninel krutova (urs) | 53.38 | 3 | 33.61 | 3.0 | 86.99 row 4 : 4.0 | juno stover-irwin (usa) | 51.9 | 6 | 31.69 | 4.0 | 83.59 row 5 : 5.0 | raisa gorokhovskaya (urs) | 51.53 | 8 | 31.5 | 5.0 | 83.03 row 6 : 6.0 | norma thomas (gbr) | 51.77 | 7 | 30.44 | 7.0 | 82.21 row 7 : 7.0 | nicolle darrigrand-pellissard (fra | 49.68 | 12 | 31.5 | 5.0 | 81.18 row 8 : 8.0 | phyllis long (gbr) | 52.12 | 5 | 28.86 | 9.0 | 80.98 row 9 : 9.0 | irene macdonald (can) | 51.31 | 9 | 29.18 | 8.0 | 80.49 row 10 : 10.0 | kumiko watanabe (jpn) | 51.04 | 10 | 28.56 | 10.0 | 79.6 row 11 : 11.0 | kanoko tsutani-mabuchi (jpn | 49.76 | 11 | 28.14 | 11.0 | 77.9 row 12 : 12.0 | birte christoffersen-hanson (swe) | 53.03 | 4 | 24.4 | 12.0 | 77.43 row 13 : 13.0 | maria teresa adames (mex) | 49.54 | 13 | nan | nan | nan row 14 : 14.0 | hanna laursen (den) | 48.89 | 14 | nan | nan | nan row 15 : 15.0 | gabriele schope (eua) | 48.81 | 15 | nan | nan | nan row 16 : 16.0 | bende velin (den) | 48.35 | 16 | nan | nan | nan row 17 : 17.0 | laura conter (ita) | 45.55 | 17 | nan | nan | nan row 18 : 18.0 | susan knight (aus) | 43.03 | 18 | nan | nan | nan
table_csv/203_780.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 ] }
[ "list the diver names" ]
2
ingrid kramer (eua), paula jean myers-pope (usa), ninel krutova (urs), juno stover-irwin (usa), raisa gorokhovskaya (urs), norma thomas (gbr), nicolle darrigrand-pellissard (fra, phyllis long (gbr), irene macdonald (can), kumiko watanabe (jpn), kanoko tsutani-mabuchi (jpn, birte christoffersen-hanson (swe), maria teresa adames (mex), hanna laursen (den), gabriele schope (eua), bende velin (den), laura conter (ita), susan knight (aus)
[ "Rank", "Diver", "Preliminary Points", "Preliminary Rank", "Final Points", "Final Rank", "Final Total" ]
list the diver names
[ [ "nan", "Ingrid Kramer (EUA)", "56.3", "1", "34.98", "2.0", "91.28" ], [ "nan", "Paula Jean Myers-Pope (USA)", "54.7", "2", "35.24", "1.0", "89.94" ], [ "nan", "Ninel Krutova (URS)", "53.38", "3", "33.61", "3.0", "86.99" ], [ "4.0", "Juno Stover-Irwin (USA)", "51.9", "6", "31.69", "4.0", "83.59" ], [ "5.0", "Raisa Gorokhovskaya (URS)", "51.53", "8", "31.5", "5.0", "83.03" ], [ "6.0", "Norma Thomas (GBR)", "51.77", "7", "30.44", "7.0", "82.21" ], [ "7.0", "Nicolle Darrigrand-Pellissard (FRA", "49.68", "12", "31.5", "5.0", "81.18" ], [ "8.0", "Phyllis Long (GBR)", "52.12", "5", "28.86", "9.0", "80.98" ], [ "9.0", "Irene MacDonald (CAN)", "51.31", "9", "29.18", "8.0", "80.49" ], [ "10.0", "Kumiko Watanabe (JPN)", "51.04", "10", "28.56", "10.0", "79.6" ], [ "11.0", "Kanoko Tsutani-Mabuchi (JPN", "49.76", "11", "28.14", "11.0", "77.9" ], [ "12.0", "Birte Christoffersen-Hanson (SWE)", "53.03", "4", "24.4", "12.0", "77.43" ], [ "13.0", "Maria Teresa Adames (MEX)", "49.54", "13", "nan", "nan", "nan" ], [ "14.0", "Hanna Laursen (DEN)", "48.89", "14", "nan", "nan", "nan" ], [ "15.0", "Gabriele Schope (EUA)", "48.81", "15", "nan", "nan", "nan" ], [ "16.0", "Bende Velin (DEN)", "48.35", "16", "nan", "nan", "nan" ], [ "17.0", "Laura Conter (ITA)", "45.55", "17", "nan", "nan", "nan" ], [ "18.0", "Susan Knight (AUS)", "43.03", "18", "nan", "nan", "nan" ] ]
[ "Ingrid Kramer (EUA)", "Paula Jean Myers-Pope (USA)", "Ninel Krutova (URS)", "Juno Stover-Irwin (USA)", "Raisa Gorokhovskaya (URS)", "Norma Thomas (GBR)", "Nicolle Darrigrand-Pellissard (FRA", "Phyllis Long (GBR)", "Irene MacDonald (CAN)", "Kumiko Watanabe (JPN)", "Kanoko Tsutani-Mabuchi (JPN", "Birte Christoffersen-Hanson (SWE)", "Maria Teresa Adames (MEX)", "Hanna Laursen (DEN)", "Gabriele Schope (EUA)", "Bende Velin (DEN)", "Laura Conter (ITA)", "Susan Knight (AUS)" ]
list the diver names ||
nt-9570
col : rank | diver | preliminary points | preliminary rank | final points | final rank | final total row 1 : nan | ingrid kramer (eua) | 56.3 | 1 | 34.98 | 2.0 | 91.28 row 2 : nan | paula jean myers-pope (usa) | 54.7 | 2 | 35.24 | 1.0 | 89.94 row 3 : nan | ninel krutova (urs) | 53.38 | 3 | 33.61 | 3.0 | 86.99 row 4 : 4.0 | juno stover-irwin (usa) | 51.9 | 6 | 31.69 | 4.0 | 83.59 row 5 : 5.0 | raisa gorokhovskaya (urs) | 51.53 | 8 | 31.5 | 5.0 | 83.03 row 6 : 6.0 | norma thomas (gbr) | 51.77 | 7 | 30.44 | 7.0 | 82.21 row 7 : 7.0 | nicolle darrigrand-pellissard (fra | 49.68 | 12 | 31.5 | 5.0 | 81.18 row 8 : 8.0 | phyllis long (gbr) | 52.12 | 5 | 28.86 | 9.0 | 80.98 row 9 : 9.0 | irene macdonald (can) | 51.31 | 9 | 29.18 | 8.0 | 80.49 row 10 : 10.0 | kumiko watanabe (jpn) | 51.04 | 10 | 28.56 | 10.0 | 79.6 row 11 : 11.0 | kanoko tsutani-mabuchi (jpn | 49.76 | 11 | 28.14 | 11.0 | 77.9 row 12 : 12.0 | birte christoffersen-hanson (swe) | 53.03 | 4 | 24.4 | 12.0 | 77.43 row 13 : 13.0 | maria teresa adames (mex) | 49.54 | 13 | nan | nan | nan row 14 : 14.0 | hanna laursen (den) | 48.89 | 14 | nan | nan | nan row 15 : 15.0 | gabriele schope (eua) | 48.81 | 15 | nan | nan | nan row 16 : 16.0 | bende velin (den) | 48.35 | 16 | nan | nan | nan row 17 : 17.0 | laura conter (ita) | 45.55 | 17 | nan | nan | nan row 18 : 18.0 | susan knight (aus) | 43.03 | 18 | nan | nan | nan
table_csv/203_780.csv
1
{ "column_index": [ 1 ], "row_index": [ 0 ] }
[ "list the diver names", "which of those is ingrid kramer" ]
2
ingrid kramer (eua)
[ "Rank", "Diver", "Preliminary Points", "Preliminary Rank", "Final Points", "Final Rank", "Final Total" ]
which of those is ingrid kramer
[ [ "nan", "Ingrid Kramer (EUA)", "56.3", "1", "34.98", "2.0", "91.28" ], [ "nan", "Paula Jean Myers-Pope (USA)", "54.7", "2", "35.24", "1.0", "89.94" ], [ "nan", "Ninel Krutova (URS)", "53.38", "3", "33.61", "3.0", "86.99" ], [ "4.0", "Juno Stover-Irwin (USA)", "51.9", "6", "31.69", "4.0", "83.59" ], [ "5.0", "Raisa Gorokhovskaya (URS)", "51.53", "8", "31.5", "5.0", "83.03" ], [ "6.0", "Norma Thomas (GBR)", "51.77", "7", "30.44", "7.0", "82.21" ], [ "7.0", "Nicolle Darrigrand-Pellissard (FRA", "49.68", "12", "31.5", "5.0", "81.18" ], [ "8.0", "Phyllis Long (GBR)", "52.12", "5", "28.86", "9.0", "80.98" ], [ "9.0", "Irene MacDonald (CAN)", "51.31", "9", "29.18", "8.0", "80.49" ], [ "10.0", "Kumiko Watanabe (JPN)", "51.04", "10", "28.56", "10.0", "79.6" ], [ "11.0", "Kanoko Tsutani-Mabuchi (JPN", "49.76", "11", "28.14", "11.0", "77.9" ], [ "12.0", "Birte Christoffersen-Hanson (SWE)", "53.03", "4", "24.4", "12.0", "77.43" ], [ "13.0", "Maria Teresa Adames (MEX)", "49.54", "13", "nan", "nan", "nan" ], [ "14.0", "Hanna Laursen (DEN)", "48.89", "14", "nan", "nan", "nan" ], [ "15.0", "Gabriele Schope (EUA)", "48.81", "15", "nan", "nan", "nan" ], [ "16.0", "Bende Velin (DEN)", "48.35", "16", "nan", "nan", "nan" ], [ "17.0", "Laura Conter (ITA)", "45.55", "17", "nan", "nan", "nan" ], [ "18.0", "Susan Knight (AUS)", "43.03", "18", "nan", "nan", "nan" ] ]
[ "Ingrid Kramer (EUA)" ]
which of those is ingrid kramer || list the diver names
nt-9570
col : rank | diver | preliminary points | preliminary rank | final points | final rank | final total row 1 : nan | ingrid kramer (eua) | 56.3 | 1 | 34.98 | 2.0 | 91.28 row 2 : nan | paula jean myers-pope (usa) | 54.7 | 2 | 35.24 | 1.0 | 89.94 row 3 : nan | ninel krutova (urs) | 53.38 | 3 | 33.61 | 3.0 | 86.99 row 4 : 4.0 | juno stover-irwin (usa) | 51.9 | 6 | 31.69 | 4.0 | 83.59 row 5 : 5.0 | raisa gorokhovskaya (urs) | 51.53 | 8 | 31.5 | 5.0 | 83.03 row 6 : 6.0 | norma thomas (gbr) | 51.77 | 7 | 30.44 | 7.0 | 82.21 row 7 : 7.0 | nicolle darrigrand-pellissard (fra | 49.68 | 12 | 31.5 | 5.0 | 81.18 row 8 : 8.0 | phyllis long (gbr) | 52.12 | 5 | 28.86 | 9.0 | 80.98 row 9 : 9.0 | irene macdonald (can) | 51.31 | 9 | 29.18 | 8.0 | 80.49 row 10 : 10.0 | kumiko watanabe (jpn) | 51.04 | 10 | 28.56 | 10.0 | 79.6 row 11 : 11.0 | kanoko tsutani-mabuchi (jpn | 49.76 | 11 | 28.14 | 11.0 | 77.9 row 12 : 12.0 | birte christoffersen-hanson (swe) | 53.03 | 4 | 24.4 | 12.0 | 77.43 row 13 : 13.0 | maria teresa adames (mex) | 49.54 | 13 | nan | nan | nan row 14 : 14.0 | hanna laursen (den) | 48.89 | 14 | nan | nan | nan row 15 : 15.0 | gabriele schope (eua) | 48.81 | 15 | nan | nan | nan row 16 : 16.0 | bende velin (den) | 48.35 | 16 | nan | nan | nan row 17 : 17.0 | laura conter (ita) | 45.55 | 17 | nan | nan | nan row 18 : 18.0 | susan knight (aus) | 43.03 | 18 | nan | nan | nan
table_csv/203_780.csv
2
{ "column_index": [ 4 ], "row_index": [ 0 ] }
[ "list the diver names", "which of those is ingrid kramer", "what was her final point total?" ]
2
34.98
[ "Rank", "Diver", "Preliminary Points", "Preliminary Rank", "Final Points", "Final Rank", "Final Total" ]
what was her final point total?
[ [ "nan", "Ingrid Kramer (EUA)", "56.3", "1", "34.98", "2.0", "91.28" ], [ "nan", "Paula Jean Myers-Pope (USA)", "54.7", "2", "35.24", "1.0", "89.94" ], [ "nan", "Ninel Krutova (URS)", "53.38", "3", "33.61", "3.0", "86.99" ], [ "4.0", "Juno Stover-Irwin (USA)", "51.9", "6", "31.69", "4.0", "83.59" ], [ "5.0", "Raisa Gorokhovskaya (URS)", "51.53", "8", "31.5", "5.0", "83.03" ], [ "6.0", "Norma Thomas (GBR)", "51.77", "7", "30.44", "7.0", "82.21" ], [ "7.0", "Nicolle Darrigrand-Pellissard (FRA", "49.68", "12", "31.5", "5.0", "81.18" ], [ "8.0", "Phyllis Long (GBR)", "52.12", "5", "28.86", "9.0", "80.98" ], [ "9.0", "Irene MacDonald (CAN)", "51.31", "9", "29.18", "8.0", "80.49" ], [ "10.0", "Kumiko Watanabe (JPN)", "51.04", "10", "28.56", "10.0", "79.6" ], [ "11.0", "Kanoko Tsutani-Mabuchi (JPN", "49.76", "11", "28.14", "11.0", "77.9" ], [ "12.0", "Birte Christoffersen-Hanson (SWE)", "53.03", "4", "24.4", "12.0", "77.43" ], [ "13.0", "Maria Teresa Adames (MEX)", "49.54", "13", "nan", "nan", "nan" ], [ "14.0", "Hanna Laursen (DEN)", "48.89", "14", "nan", "nan", "nan" ], [ "15.0", "Gabriele Schope (EUA)", "48.81", "15", "nan", "nan", "nan" ], [ "16.0", "Bende Velin (DEN)", "48.35", "16", "nan", "nan", "nan" ], [ "17.0", "Laura Conter (ITA)", "45.55", "17", "nan", "nan", "nan" ], [ "18.0", "Susan Knight (AUS)", "43.03", "18", "nan", "nan", "nan" ] ]
[ "34.98" ]
what was her final point total? || which of those is ingrid kramer | list the diver names
nt-9570
col : rank | diver | preliminary points | preliminary rank | final points | final rank | final total row 1 : nan | ingrid kramer (eua) | 56.3 | 1 | 34.98 | 2.0 | 91.28 row 2 : nan | paula jean myers-pope (usa) | 54.7 | 2 | 35.24 | 1.0 | 89.94 row 3 : nan | ninel krutova (urs) | 53.38 | 3 | 33.61 | 3.0 | 86.99 row 4 : 4.0 | juno stover-irwin (usa) | 51.9 | 6 | 31.69 | 4.0 | 83.59 row 5 : 5.0 | raisa gorokhovskaya (urs) | 51.53 | 8 | 31.5 | 5.0 | 83.03 row 6 : 6.0 | norma thomas (gbr) | 51.77 | 7 | 30.44 | 7.0 | 82.21 row 7 : 7.0 | nicolle darrigrand-pellissard (fra | 49.68 | 12 | 31.5 | 5.0 | 81.18 row 8 : 8.0 | phyllis long (gbr) | 52.12 | 5 | 28.86 | 9.0 | 80.98 row 9 : 9.0 | irene macdonald (can) | 51.31 | 9 | 29.18 | 8.0 | 80.49 row 10 : 10.0 | kumiko watanabe (jpn) | 51.04 | 10 | 28.56 | 10.0 | 79.6 row 11 : 11.0 | kanoko tsutani-mabuchi (jpn | 49.76 | 11 | 28.14 | 11.0 | 77.9 row 12 : 12.0 | birte christoffersen-hanson (swe) | 53.03 | 4 | 24.4 | 12.0 | 77.43 row 13 : 13.0 | maria teresa adames (mex) | 49.54 | 13 | nan | nan | nan row 14 : 14.0 | hanna laursen (den) | 48.89 | 14 | nan | nan | nan row 15 : 15.0 | gabriele schope (eua) | 48.81 | 15 | nan | nan | nan row 16 : 16.0 | bende velin (den) | 48.35 | 16 | nan | nan | nan row 17 : 17.0 | laura conter (ita) | 45.55 | 17 | nan | nan | nan row 18 : 18.0 | susan knight (aus) | 43.03 | 18 | nan | nan | nan
table_csv/203_780.csv
3
{ "column_index": [ 4 ], "row_index": [ 1 ] }
[ "list the diver names", "which of those is ingrid kramer", "what was her final point total?", "list any entries that had a higher final point total" ]
2
35.24
[ "Rank", "Diver", "Preliminary Points", "Preliminary Rank", "Final Points", "Final Rank", "Final Total" ]
list any entries that had a higher final point total
[ [ "nan", "Ingrid Kramer (EUA)", "56.3", "1", "34.98", "2.0", "91.28" ], [ "nan", "Paula Jean Myers-Pope (USA)", "54.7", "2", "35.24", "1.0", "89.94" ], [ "nan", "Ninel Krutova (URS)", "53.38", "3", "33.61", "3.0", "86.99" ], [ "4.0", "Juno Stover-Irwin (USA)", "51.9", "6", "31.69", "4.0", "83.59" ], [ "5.0", "Raisa Gorokhovskaya (URS)", "51.53", "8", "31.5", "5.0", "83.03" ], [ "6.0", "Norma Thomas (GBR)", "51.77", "7", "30.44", "7.0", "82.21" ], [ "7.0", "Nicolle Darrigrand-Pellissard (FRA", "49.68", "12", "31.5", "5.0", "81.18" ], [ "8.0", "Phyllis Long (GBR)", "52.12", "5", "28.86", "9.0", "80.98" ], [ "9.0", "Irene MacDonald (CAN)", "51.31", "9", "29.18", "8.0", "80.49" ], [ "10.0", "Kumiko Watanabe (JPN)", "51.04", "10", "28.56", "10.0", "79.6" ], [ "11.0", "Kanoko Tsutani-Mabuchi (JPN", "49.76", "11", "28.14", "11.0", "77.9" ], [ "12.0", "Birte Christoffersen-Hanson (SWE)", "53.03", "4", "24.4", "12.0", "77.43" ], [ "13.0", "Maria Teresa Adames (MEX)", "49.54", "13", "nan", "nan", "nan" ], [ "14.0", "Hanna Laursen (DEN)", "48.89", "14", "nan", "nan", "nan" ], [ "15.0", "Gabriele Schope (EUA)", "48.81", "15", "nan", "nan", "nan" ], [ "16.0", "Bende Velin (DEN)", "48.35", "16", "nan", "nan", "nan" ], [ "17.0", "Laura Conter (ITA)", "45.55", "17", "nan", "nan", "nan" ], [ "18.0", "Susan Knight (AUS)", "43.03", "18", "nan", "nan", "nan" ] ]
[ "35.24" ]
list any entries that had a higher final point total || what was her final point total? | which of those is ingrid kramer | list the diver names
nt-9570
col : rank | diver | preliminary points | preliminary rank | final points | final rank | final total row 1 : nan | ingrid kramer (eua) | 56.3 | 1 | 34.98 | 2.0 | 91.28 row 2 : nan | paula jean myers-pope (usa) | 54.7 | 2 | 35.24 | 1.0 | 89.94 row 3 : nan | ninel krutova (urs) | 53.38 | 3 | 33.61 | 3.0 | 86.99 row 4 : 4.0 | juno stover-irwin (usa) | 51.9 | 6 | 31.69 | 4.0 | 83.59 row 5 : 5.0 | raisa gorokhovskaya (urs) | 51.53 | 8 | 31.5 | 5.0 | 83.03 row 6 : 6.0 | norma thomas (gbr) | 51.77 | 7 | 30.44 | 7.0 | 82.21 row 7 : 7.0 | nicolle darrigrand-pellissard (fra | 49.68 | 12 | 31.5 | 5.0 | 81.18 row 8 : 8.0 | phyllis long (gbr) | 52.12 | 5 | 28.86 | 9.0 | 80.98 row 9 : 9.0 | irene macdonald (can) | 51.31 | 9 | 29.18 | 8.0 | 80.49 row 10 : 10.0 | kumiko watanabe (jpn) | 51.04 | 10 | 28.56 | 10.0 | 79.6 row 11 : 11.0 | kanoko tsutani-mabuchi (jpn | 49.76 | 11 | 28.14 | 11.0 | 77.9 row 12 : 12.0 | birte christoffersen-hanson (swe) | 53.03 | 4 | 24.4 | 12.0 | 77.43 row 13 : 13.0 | maria teresa adames (mex) | 49.54 | 13 | nan | nan | nan row 14 : 14.0 | hanna laursen (den) | 48.89 | 14 | nan | nan | nan row 15 : 15.0 | gabriele schope (eua) | 48.81 | 15 | nan | nan | nan row 16 : 16.0 | bende velin (den) | 48.35 | 16 | nan | nan | nan row 17 : 17.0 | laura conter (ita) | 45.55 | 17 | nan | nan | nan row 18 : 18.0 | susan knight (aus) | 43.03 | 18 | nan | nan | nan
table_csv/203_780.csv
4
{ "column_index": [ 1 ], "row_index": [ 1 ] }
[ "list the diver names", "which of those is ingrid kramer", "what was her final point total?", "list any entries that had a higher final point total", "to who did that entry belong?" ]
2
paula jean myers-pope (usa)
[ "Rank", "Diver", "Preliminary Points", "Preliminary Rank", "Final Points", "Final Rank", "Final Total" ]
to who did that entry belong?
[ [ "nan", "Ingrid Kramer (EUA)", "56.3", "1", "34.98", "2.0", "91.28" ], [ "nan", "Paula Jean Myers-Pope (USA)", "54.7", "2", "35.24", "1.0", "89.94" ], [ "nan", "Ninel Krutova (URS)", "53.38", "3", "33.61", "3.0", "86.99" ], [ "4.0", "Juno Stover-Irwin (USA)", "51.9", "6", "31.69", "4.0", "83.59" ], [ "5.0", "Raisa Gorokhovskaya (URS)", "51.53", "8", "31.5", "5.0", "83.03" ], [ "6.0", "Norma Thomas (GBR)", "51.77", "7", "30.44", "7.0", "82.21" ], [ "7.0", "Nicolle Darrigrand-Pellissard (FRA", "49.68", "12", "31.5", "5.0", "81.18" ], [ "8.0", "Phyllis Long (GBR)", "52.12", "5", "28.86", "9.0", "80.98" ], [ "9.0", "Irene MacDonald (CAN)", "51.31", "9", "29.18", "8.0", "80.49" ], [ "10.0", "Kumiko Watanabe (JPN)", "51.04", "10", "28.56", "10.0", "79.6" ], [ "11.0", "Kanoko Tsutani-Mabuchi (JPN", "49.76", "11", "28.14", "11.0", "77.9" ], [ "12.0", "Birte Christoffersen-Hanson (SWE)", "53.03", "4", "24.4", "12.0", "77.43" ], [ "13.0", "Maria Teresa Adames (MEX)", "49.54", "13", "nan", "nan", "nan" ], [ "14.0", "Hanna Laursen (DEN)", "48.89", "14", "nan", "nan", "nan" ], [ "15.0", "Gabriele Schope (EUA)", "48.81", "15", "nan", "nan", "nan" ], [ "16.0", "Bende Velin (DEN)", "48.35", "16", "nan", "nan", "nan" ], [ "17.0", "Laura Conter (ITA)", "45.55", "17", "nan", "nan", "nan" ], [ "18.0", "Susan Knight (AUS)", "43.03", "18", "nan", "nan", "nan" ] ]
[ "Paula Jean Myers-Pope (USA)" ]
to who did that entry belong? || list any entries that had a higher final point total | what was her final point total? | which of those is ingrid kramer | list the diver names
ns-1042
col : township | fips | population center | population | population density /km2 (/sq mi) | land area km2 (sq mi) | water area km2 (sq mi) | water % | geographic coordinates row 1 : belleville | 5575 | nan | 675 | 4 (11) | 155 (60) | 0 (0) | 0.14% | 37deg3'50''n 96deg7' row 2 : caneyville | 10425 | nan | 88 | 1 (2) | 144 (55) | 1 (0) | 0.38% | 37deg15'23''n 96deg27' row 3 : center | 11575 | nan | 75 | 1 (1) | 144 (56) | 1 (0) | 0.80% | 37deg15'28''n 96deg18' row 4 : harrison | 30275 | nan | 114 | 1 (2) | 142 (55) | 0 (0) | 0.14% | 37deg4'3''n 96deg26' row 5 : hendricks | 31300 | nan | 179 | 1 (3) | 142 (55) | 0 (0) | 0.05% | 37deg1'12''n 96deg18' row 6 : jefferson | 35125 | cedar vale | 834 | 6 (15) | 144 (56) | 1 (0) | 0.45% | 37deg6'45''n 96deg29' row 7 : lafayette | 37650 | nan | 65 | 0 (1) | 154 (59) | 2 (1) | 1.40% | 37deg15'36''n 96deg10' row 8 : little caney | 41525 | nan | 353 | 3 (8) | 117 (45) | 0 (0) | 0.31% | 37deg3'51''n 96deg1' row 9 : salt creek | 62775 | nan | 123 | 1 (3) | 127 (49) | 0 (0) | 0.34% | 37deg15'13''n 96deg1' row 10 : sedan | 63775 | sedan | 1,660 | 13 (34) | 128 (49) | 1 (0) | 0.65% | 37deg7'50''n 96deg11' row 11 : summit | 69025 | nan | 106 | 1 (2) | 144 (56) | 1 (0) | 0.40% | 37deg8'17''n 96deg19' row 12 : washington | 75550 | nan | 87 | 1 (2) | 121 (47) | 1 (0) | 0.71% | 37deg7'41''n 96deg0'
table_csv/203_459.csv
0
{ "column_index": [ 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 ] }
[ "what are the land areas?" ]
0
155 (60), 144 (55), 144 (56), 142 (55), 142 (55), 144 (56), 154 (59), 117 (45), 127 (49), 128 (49), 144 (56), 121 (47)
[ "Township", "FIPS", "Population center", "Population", "Population density /km2 (/sq mi)", "Land area km2 (sq mi)", "Water area km2 (sq mi)", "Water %", "Geographic coordinates" ]
what are the land areas?
[ [ "Belleville", "5575", "nan", "675", "4 (11)", "155 (60)", "0 (0)", "0.14%", "37deg3'50''N 96deg7'" ], [ "Caneyville", "10425", "nan", "88", "1 (2)", "144 (55)", "1 (0)", "0.38%", "37deg15'23''N 96deg27'" ], [ "Center", "11575", "nan", "75", "1 (1)", "144 (56)", "1 (0)", "0.80%", "37deg15'28''N 96deg18'" ], [ "Harrison", "30275", "nan", "114", "1 (2)", "142 (55)", "0 (0)", "0.14%", "37deg4'3''N 96deg26'" ], [ "Hendricks", "31300", "nan", "179", "1 (3)", "142 (55)", "0 (0)", "0.05%", "37deg1'12''N 96deg18'" ], [ "Jefferson", "35125", "Cedar Vale", "834", "6 (15)", "144 (56)", "1 (0)", "0.45%", "37deg6'45''N 96deg29'" ], [ "Lafayette", "37650", "nan", "65", "0 (1)", "154 (59)", "2 (1)", "1.40%", "37deg15'36''N 96deg10'" ], [ "Little Caney", "41525", "nan", "353", "3 (8)", "117 (45)", "0 (0)", "0.31%", "37deg3'51''N 96deg1'" ], [ "Salt Creek", "62775", "nan", "123", "1 (3)", "127 (49)", "0 (0)", "0.34%", "37deg15'13''N 96deg1'" ], [ "Sedan", "63775", "Sedan", "1,660", "13 (34)", "128 (49)", "1 (0)", "0.65%", "37deg7'50''N 96deg11'" ], [ "Summit", "69025", "nan", "106", "1 (2)", "144 (56)", "1 (0)", "0.40%", "37deg8'17''N 96deg19'" ], [ "Washington", "75550", "nan", "87", "1 (2)", "121 (47)", "1 (0)", "0.71%", "37deg7'41''N 96deg0'" ] ]
[ "155 (60)", "144 (55)", "144 (56)", "142 (55)", "142 (55)", "144 (56)", "154 (59)", "117 (45)", "127 (49)", "128 (49)", "144 (56)", "121 (47)" ]
what are the land areas? ||
ns-1042
col : township | fips | population center | population | population density /km2 (/sq mi) | land area km2 (sq mi) | water area km2 (sq mi) | water % | geographic coordinates row 1 : belleville | 5575 | nan | 675 | 4 (11) | 155 (60) | 0 (0) | 0.14% | 37deg3'50''n 96deg7' row 2 : caneyville | 10425 | nan | 88 | 1 (2) | 144 (55) | 1 (0) | 0.38% | 37deg15'23''n 96deg27' row 3 : center | 11575 | nan | 75 | 1 (1) | 144 (56) | 1 (0) | 0.80% | 37deg15'28''n 96deg18' row 4 : harrison | 30275 | nan | 114 | 1 (2) | 142 (55) | 0 (0) | 0.14% | 37deg4'3''n 96deg26' row 5 : hendricks | 31300 | nan | 179 | 1 (3) | 142 (55) | 0 (0) | 0.05% | 37deg1'12''n 96deg18' row 6 : jefferson | 35125 | cedar vale | 834 | 6 (15) | 144 (56) | 1 (0) | 0.45% | 37deg6'45''n 96deg29' row 7 : lafayette | 37650 | nan | 65 | 0 (1) | 154 (59) | 2 (1) | 1.40% | 37deg15'36''n 96deg10' row 8 : little caney | 41525 | nan | 353 | 3 (8) | 117 (45) | 0 (0) | 0.31% | 37deg3'51''n 96deg1' row 9 : salt creek | 62775 | nan | 123 | 1 (3) | 127 (49) | 0 (0) | 0.34% | 37deg15'13''n 96deg1' row 10 : sedan | 63775 | sedan | 1,660 | 13 (34) | 128 (49) | 1 (0) | 0.65% | 37deg7'50''n 96deg11' row 11 : summit | 69025 | nan | 106 | 1 (2) | 144 (56) | 1 (0) | 0.40% | 37deg8'17''n 96deg19' row 12 : washington | 75550 | nan | 87 | 1 (2) | 121 (47) | 1 (0) | 0.71% | 37deg7'41''n 96deg0'
table_csv/203_459.csv
1
{ "column_index": [ 5, 5 ], "row_index": [ 3, 4 ] }
[ "what are the land areas?", "of those, which are 142?" ]
0
142 (55), 142 (55)
[ "Township", "FIPS", "Population center", "Population", "Population density /km2 (/sq mi)", "Land area km2 (sq mi)", "Water area km2 (sq mi)", "Water %", "Geographic coordinates" ]
of those, which are 142?
[ [ "Belleville", "5575", "nan", "675", "4 (11)", "155 (60)", "0 (0)", "0.14%", "37deg3'50''N 96deg7'" ], [ "Caneyville", "10425", "nan", "88", "1 (2)", "144 (55)", "1 (0)", "0.38%", "37deg15'23''N 96deg27'" ], [ "Center", "11575", "nan", "75", "1 (1)", "144 (56)", "1 (0)", "0.80%", "37deg15'28''N 96deg18'" ], [ "Harrison", "30275", "nan", "114", "1 (2)", "142 (55)", "0 (0)", "0.14%", "37deg4'3''N 96deg26'" ], [ "Hendricks", "31300", "nan", "179", "1 (3)", "142 (55)", "0 (0)", "0.05%", "37deg1'12''N 96deg18'" ], [ "Jefferson", "35125", "Cedar Vale", "834", "6 (15)", "144 (56)", "1 (0)", "0.45%", "37deg6'45''N 96deg29'" ], [ "Lafayette", "37650", "nan", "65", "0 (1)", "154 (59)", "2 (1)", "1.40%", "37deg15'36''N 96deg10'" ], [ "Little Caney", "41525", "nan", "353", "3 (8)", "117 (45)", "0 (0)", "0.31%", "37deg3'51''N 96deg1'" ], [ "Salt Creek", "62775", "nan", "123", "1 (3)", "127 (49)", "0 (0)", "0.34%", "37deg15'13''N 96deg1'" ], [ "Sedan", "63775", "Sedan", "1,660", "13 (34)", "128 (49)", "1 (0)", "0.65%", "37deg7'50''N 96deg11'" ], [ "Summit", "69025", "nan", "106", "1 (2)", "144 (56)", "1 (0)", "0.40%", "37deg8'17''N 96deg19'" ], [ "Washington", "75550", "nan", "87", "1 (2)", "121 (47)", "1 (0)", "0.71%", "37deg7'41''N 96deg0'" ] ]
[ "142 (55)", "142 (55)" ]
of those, which are 142? || what are the land areas?
ns-1042
col : township | fips | population center | population | population density /km2 (/sq mi) | land area km2 (sq mi) | water area km2 (sq mi) | water % | geographic coordinates row 1 : belleville | 5575 | nan | 675 | 4 (11) | 155 (60) | 0 (0) | 0.14% | 37deg3'50''n 96deg7' row 2 : caneyville | 10425 | nan | 88 | 1 (2) | 144 (55) | 1 (0) | 0.38% | 37deg15'23''n 96deg27' row 3 : center | 11575 | nan | 75 | 1 (1) | 144 (56) | 1 (0) | 0.80% | 37deg15'28''n 96deg18' row 4 : harrison | 30275 | nan | 114 | 1 (2) | 142 (55) | 0 (0) | 0.14% | 37deg4'3''n 96deg26' row 5 : hendricks | 31300 | nan | 179 | 1 (3) | 142 (55) | 0 (0) | 0.05% | 37deg1'12''n 96deg18' row 6 : jefferson | 35125 | cedar vale | 834 | 6 (15) | 144 (56) | 1 (0) | 0.45% | 37deg6'45''n 96deg29' row 7 : lafayette | 37650 | nan | 65 | 0 (1) | 154 (59) | 2 (1) | 1.40% | 37deg15'36''n 96deg10' row 8 : little caney | 41525 | nan | 353 | 3 (8) | 117 (45) | 0 (0) | 0.31% | 37deg3'51''n 96deg1' row 9 : salt creek | 62775 | nan | 123 | 1 (3) | 127 (49) | 0 (0) | 0.34% | 37deg15'13''n 96deg1' row 10 : sedan | 63775 | sedan | 1,660 | 13 (34) | 128 (49) | 1 (0) | 0.65% | 37deg7'50''n 96deg11' row 11 : summit | 69025 | nan | 106 | 1 (2) | 144 (56) | 1 (0) | 0.40% | 37deg8'17''n 96deg19' row 12 : washington | 75550 | nan | 87 | 1 (2) | 121 (47) | 1 (0) | 0.71% | 37deg7'41''n 96deg0'
table_csv/203_459.csv
2
{ "column_index": [ 0, 0 ], "row_index": [ 3, 4 ] }
[ "what are the land areas?", "of those, which are 142?", "what are the names of the towns with land area 142?" ]
0
harrison, hendricks
[ "Township", "FIPS", "Population center", "Population", "Population density /km2 (/sq mi)", "Land area km2 (sq mi)", "Water area km2 (sq mi)", "Water %", "Geographic coordinates" ]
what are the names of the towns with land area 142?
[ [ "Belleville", "5575", "nan", "675", "4 (11)", "155 (60)", "0 (0)", "0.14%", "37deg3'50''N 96deg7'" ], [ "Caneyville", "10425", "nan", "88", "1 (2)", "144 (55)", "1 (0)", "0.38%", "37deg15'23''N 96deg27'" ], [ "Center", "11575", "nan", "75", "1 (1)", "144 (56)", "1 (0)", "0.80%", "37deg15'28''N 96deg18'" ], [ "Harrison", "30275", "nan", "114", "1 (2)", "142 (55)", "0 (0)", "0.14%", "37deg4'3''N 96deg26'" ], [ "Hendricks", "31300", "nan", "179", "1 (3)", "142 (55)", "0 (0)", "0.05%", "37deg1'12''N 96deg18'" ], [ "Jefferson", "35125", "Cedar Vale", "834", "6 (15)", "144 (56)", "1 (0)", "0.45%", "37deg6'45''N 96deg29'" ], [ "Lafayette", "37650", "nan", "65", "0 (1)", "154 (59)", "2 (1)", "1.40%", "37deg15'36''N 96deg10'" ], [ "Little Caney", "41525", "nan", "353", "3 (8)", "117 (45)", "0 (0)", "0.31%", "37deg3'51''N 96deg1'" ], [ "Salt Creek", "62775", "nan", "123", "1 (3)", "127 (49)", "0 (0)", "0.34%", "37deg15'13''N 96deg1'" ], [ "Sedan", "63775", "Sedan", "1,660", "13 (34)", "128 (49)", "1 (0)", "0.65%", "37deg7'50''N 96deg11'" ], [ "Summit", "69025", "nan", "106", "1 (2)", "144 (56)", "1 (0)", "0.40%", "37deg8'17''N 96deg19'" ], [ "Washington", "75550", "nan", "87", "1 (2)", "121 (47)", "1 (0)", "0.71%", "37deg7'41''N 96deg0'" ] ]
[ "Harrison", "Hendricks" ]
what are the names of the towns with land area 142? || of those, which are 142? | what are the land areas?
ns-1042
col : township | fips | population center | population | population density /km2 (/sq mi) | land area km2 (sq mi) | water area km2 (sq mi) | water % | geographic coordinates row 1 : belleville | 5575 | nan | 675 | 4 (11) | 155 (60) | 0 (0) | 0.14% | 37deg3'50''n 96deg7' row 2 : caneyville | 10425 | nan | 88 | 1 (2) | 144 (55) | 1 (0) | 0.38% | 37deg15'23''n 96deg27' row 3 : center | 11575 | nan | 75 | 1 (1) | 144 (56) | 1 (0) | 0.80% | 37deg15'28''n 96deg18' row 4 : harrison | 30275 | nan | 114 | 1 (2) | 142 (55) | 0 (0) | 0.14% | 37deg4'3''n 96deg26' row 5 : hendricks | 31300 | nan | 179 | 1 (3) | 142 (55) | 0 (0) | 0.05% | 37deg1'12''n 96deg18' row 6 : jefferson | 35125 | cedar vale | 834 | 6 (15) | 144 (56) | 1 (0) | 0.45% | 37deg6'45''n 96deg29' row 7 : lafayette | 37650 | nan | 65 | 0 (1) | 154 (59) | 2 (1) | 1.40% | 37deg15'36''n 96deg10' row 8 : little caney | 41525 | nan | 353 | 3 (8) | 117 (45) | 0 (0) | 0.31% | 37deg3'51''n 96deg1' row 9 : salt creek | 62775 | nan | 123 | 1 (3) | 127 (49) | 0 (0) | 0.34% | 37deg15'13''n 96deg1' row 10 : sedan | 63775 | sedan | 1,660 | 13 (34) | 128 (49) | 1 (0) | 0.65% | 37deg7'50''n 96deg11' row 11 : summit | 69025 | nan | 106 | 1 (2) | 144 (56) | 1 (0) | 0.40% | 37deg8'17''n 96deg19' row 12 : washington | 75550 | nan | 87 | 1 (2) | 121 (47) | 1 (0) | 0.71% | 37deg7'41''n 96deg0'
table_csv/203_459.csv
3
{ "column_index": [ 0 ], "row_index": [ 3 ] }
[ "what are the land areas?", "of those, which are 142?", "what are the names of the towns with land area 142?", "what is the name that is not hendricks?" ]
0
harrison
[ "Township", "FIPS", "Population center", "Population", "Population density /km2 (/sq mi)", "Land area km2 (sq mi)", "Water area km2 (sq mi)", "Water %", "Geographic coordinates" ]
what is the name that is not hendricks?
[ [ "Belleville", "5575", "nan", "675", "4 (11)", "155 (60)", "0 (0)", "0.14%", "37deg3'50''N 96deg7'" ], [ "Caneyville", "10425", "nan", "88", "1 (2)", "144 (55)", "1 (0)", "0.38%", "37deg15'23''N 96deg27'" ], [ "Center", "11575", "nan", "75", "1 (1)", "144 (56)", "1 (0)", "0.80%", "37deg15'28''N 96deg18'" ], [ "Harrison", "30275", "nan", "114", "1 (2)", "142 (55)", "0 (0)", "0.14%", "37deg4'3''N 96deg26'" ], [ "Hendricks", "31300", "nan", "179", "1 (3)", "142 (55)", "0 (0)", "0.05%", "37deg1'12''N 96deg18'" ], [ "Jefferson", "35125", "Cedar Vale", "834", "6 (15)", "144 (56)", "1 (0)", "0.45%", "37deg6'45''N 96deg29'" ], [ "Lafayette", "37650", "nan", "65", "0 (1)", "154 (59)", "2 (1)", "1.40%", "37deg15'36''N 96deg10'" ], [ "Little Caney", "41525", "nan", "353", "3 (8)", "117 (45)", "0 (0)", "0.31%", "37deg3'51''N 96deg1'" ], [ "Salt Creek", "62775", "nan", "123", "1 (3)", "127 (49)", "0 (0)", "0.34%", "37deg15'13''N 96deg1'" ], [ "Sedan", "63775", "Sedan", "1,660", "13 (34)", "128 (49)", "1 (0)", "0.65%", "37deg7'50''N 96deg11'" ], [ "Summit", "69025", "nan", "106", "1 (2)", "144 (56)", "1 (0)", "0.40%", "37deg8'17''N 96deg19'" ], [ "Washington", "75550", "nan", "87", "1 (2)", "121 (47)", "1 (0)", "0.71%", "37deg7'41''N 96deg0'" ] ]
[ "Harrison" ]
what is the name that is not hendricks? || what are the names of the towns with land area 142? | of those, which are 142? | what are the land areas?
ns-1042
col : township | fips | population center | population | population density /km2 (/sq mi) | land area km2 (sq mi) | water area km2 (sq mi) | water % | geographic coordinates row 1 : belleville | 5575 | nan | 675 | 4 (11) | 155 (60) | 0 (0) | 0.14% | 37deg3'50''n 96deg7' row 2 : caneyville | 10425 | nan | 88 | 1 (2) | 144 (55) | 1 (0) | 0.38% | 37deg15'23''n 96deg27' row 3 : center | 11575 | nan | 75 | 1 (1) | 144 (56) | 1 (0) | 0.80% | 37deg15'28''n 96deg18' row 4 : harrison | 30275 | nan | 114 | 1 (2) | 142 (55) | 0 (0) | 0.14% | 37deg4'3''n 96deg26' row 5 : hendricks | 31300 | nan | 179 | 1 (3) | 142 (55) | 0 (0) | 0.05% | 37deg1'12''n 96deg18' row 6 : jefferson | 35125 | cedar vale | 834 | 6 (15) | 144 (56) | 1 (0) | 0.45% | 37deg6'45''n 96deg29' row 7 : lafayette | 37650 | nan | 65 | 0 (1) | 154 (59) | 2 (1) | 1.40% | 37deg15'36''n 96deg10' row 8 : little caney | 41525 | nan | 353 | 3 (8) | 117 (45) | 0 (0) | 0.31% | 37deg3'51''n 96deg1' row 9 : salt creek | 62775 | nan | 123 | 1 (3) | 127 (49) | 0 (0) | 0.34% | 37deg15'13''n 96deg1' row 10 : sedan | 63775 | sedan | 1,660 | 13 (34) | 128 (49) | 1 (0) | 0.65% | 37deg7'50''n 96deg11' row 11 : summit | 69025 | nan | 106 | 1 (2) | 144 (56) | 1 (0) | 0.40% | 37deg8'17''n 96deg19' row 12 : washington | 75550 | nan | 87 | 1 (2) | 121 (47) | 1 (0) | 0.71% | 37deg7'41''n 96deg0'
table_csv/203_459.csv
0
{ "column_index": [ 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 ] }
[ "what are the land areas?" ]
1
155 (60), 144 (55), 144 (56), 142 (55), 142 (55), 144 (56), 154 (59), 117 (45), 127 (49), 128 (49), 144 (56), 121 (47)
[ "Township", "FIPS", "Population center", "Population", "Population density /km2 (/sq mi)", "Land area km2 (sq mi)", "Water area km2 (sq mi)", "Water %", "Geographic coordinates" ]
what are the land areas?
[ [ "Belleville", "5575", "nan", "675", "4 (11)", "155 (60)", "0 (0)", "0.14%", "37deg3'50''N 96deg7'" ], [ "Caneyville", "10425", "nan", "88", "1 (2)", "144 (55)", "1 (0)", "0.38%", "37deg15'23''N 96deg27'" ], [ "Center", "11575", "nan", "75", "1 (1)", "144 (56)", "1 (0)", "0.80%", "37deg15'28''N 96deg18'" ], [ "Harrison", "30275", "nan", "114", "1 (2)", "142 (55)", "0 (0)", "0.14%", "37deg4'3''N 96deg26'" ], [ "Hendricks", "31300", "nan", "179", "1 (3)", "142 (55)", "0 (0)", "0.05%", "37deg1'12''N 96deg18'" ], [ "Jefferson", "35125", "Cedar Vale", "834", "6 (15)", "144 (56)", "1 (0)", "0.45%", "37deg6'45''N 96deg29'" ], [ "Lafayette", "37650", "nan", "65", "0 (1)", "154 (59)", "2 (1)", "1.40%", "37deg15'36''N 96deg10'" ], [ "Little Caney", "41525", "nan", "353", "3 (8)", "117 (45)", "0 (0)", "0.31%", "37deg3'51''N 96deg1'" ], [ "Salt Creek", "62775", "nan", "123", "1 (3)", "127 (49)", "0 (0)", "0.34%", "37deg15'13''N 96deg1'" ], [ "Sedan", "63775", "Sedan", "1,660", "13 (34)", "128 (49)", "1 (0)", "0.65%", "37deg7'50''N 96deg11'" ], [ "Summit", "69025", "nan", "106", "1 (2)", "144 (56)", "1 (0)", "0.40%", "37deg8'17''N 96deg19'" ], [ "Washington", "75550", "nan", "87", "1 (2)", "121 (47)", "1 (0)", "0.71%", "37deg7'41''N 96deg0'" ] ]
[ "155 (60)", "144 (55)", "144 (56)", "142 (55)", "142 (55)", "144 (56)", "154 (59)", "117 (45)", "127 (49)", "128 (49)", "144 (56)", "121 (47)" ]
what are the land areas? ||
ns-1042
col : township | fips | population center | population | population density /km2 (/sq mi) | land area km2 (sq mi) | water area km2 (sq mi) | water % | geographic coordinates row 1 : belleville | 5575 | nan | 675 | 4 (11) | 155 (60) | 0 (0) | 0.14% | 37deg3'50''n 96deg7' row 2 : caneyville | 10425 | nan | 88 | 1 (2) | 144 (55) | 1 (0) | 0.38% | 37deg15'23''n 96deg27' row 3 : center | 11575 | nan | 75 | 1 (1) | 144 (56) | 1 (0) | 0.80% | 37deg15'28''n 96deg18' row 4 : harrison | 30275 | nan | 114 | 1 (2) | 142 (55) | 0 (0) | 0.14% | 37deg4'3''n 96deg26' row 5 : hendricks | 31300 | nan | 179 | 1 (3) | 142 (55) | 0 (0) | 0.05% | 37deg1'12''n 96deg18' row 6 : jefferson | 35125 | cedar vale | 834 | 6 (15) | 144 (56) | 1 (0) | 0.45% | 37deg6'45''n 96deg29' row 7 : lafayette | 37650 | nan | 65 | 0 (1) | 154 (59) | 2 (1) | 1.40% | 37deg15'36''n 96deg10' row 8 : little caney | 41525 | nan | 353 | 3 (8) | 117 (45) | 0 (0) | 0.31% | 37deg3'51''n 96deg1' row 9 : salt creek | 62775 | nan | 123 | 1 (3) | 127 (49) | 0 (0) | 0.34% | 37deg15'13''n 96deg1' row 10 : sedan | 63775 | sedan | 1,660 | 13 (34) | 128 (49) | 1 (0) | 0.65% | 37deg7'50''n 96deg11' row 11 : summit | 69025 | nan | 106 | 1 (2) | 144 (56) | 1 (0) | 0.40% | 37deg8'17''n 96deg19' row 12 : washington | 75550 | nan | 87 | 1 (2) | 121 (47) | 1 (0) | 0.71% | 37deg7'41''n 96deg0'
table_csv/203_459.csv
1
{ "column_index": [ 0, 0 ], "row_index": [ 3, 4 ] }
[ "what are the land areas?", "what township has 142km as their land area?" ]
1
harrison, hendricks
[ "Township", "FIPS", "Population center", "Population", "Population density /km2 (/sq mi)", "Land area km2 (sq mi)", "Water area km2 (sq mi)", "Water %", "Geographic coordinates" ]
what township has 142km as their land area?
[ [ "Belleville", "5575", "nan", "675", "4 (11)", "155 (60)", "0 (0)", "0.14%", "37deg3'50''N 96deg7'" ], [ "Caneyville", "10425", "nan", "88", "1 (2)", "144 (55)", "1 (0)", "0.38%", "37deg15'23''N 96deg27'" ], [ "Center", "11575", "nan", "75", "1 (1)", "144 (56)", "1 (0)", "0.80%", "37deg15'28''N 96deg18'" ], [ "Harrison", "30275", "nan", "114", "1 (2)", "142 (55)", "0 (0)", "0.14%", "37deg4'3''N 96deg26'" ], [ "Hendricks", "31300", "nan", "179", "1 (3)", "142 (55)", "0 (0)", "0.05%", "37deg1'12''N 96deg18'" ], [ "Jefferson", "35125", "Cedar Vale", "834", "6 (15)", "144 (56)", "1 (0)", "0.45%", "37deg6'45''N 96deg29'" ], [ "Lafayette", "37650", "nan", "65", "0 (1)", "154 (59)", "2 (1)", "1.40%", "37deg15'36''N 96deg10'" ], [ "Little Caney", "41525", "nan", "353", "3 (8)", "117 (45)", "0 (0)", "0.31%", "37deg3'51''N 96deg1'" ], [ "Salt Creek", "62775", "nan", "123", "1 (3)", "127 (49)", "0 (0)", "0.34%", "37deg15'13''N 96deg1'" ], [ "Sedan", "63775", "Sedan", "1,660", "13 (34)", "128 (49)", "1 (0)", "0.65%", "37deg7'50''N 96deg11'" ], [ "Summit", "69025", "nan", "106", "1 (2)", "144 (56)", "1 (0)", "0.40%", "37deg8'17''N 96deg19'" ], [ "Washington", "75550", "nan", "87", "1 (2)", "121 (47)", "1 (0)", "0.71%", "37deg7'41''N 96deg0'" ] ]
[ "Harrison", "Hendricks" ]
what township has 142km as their land area? || what are the land areas?
ns-1042
col : township | fips | population center | population | population density /km2 (/sq mi) | land area km2 (sq mi) | water area km2 (sq mi) | water % | geographic coordinates row 1 : belleville | 5575 | nan | 675 | 4 (11) | 155 (60) | 0 (0) | 0.14% | 37deg3'50''n 96deg7' row 2 : caneyville | 10425 | nan | 88 | 1 (2) | 144 (55) | 1 (0) | 0.38% | 37deg15'23''n 96deg27' row 3 : center | 11575 | nan | 75 | 1 (1) | 144 (56) | 1 (0) | 0.80% | 37deg15'28''n 96deg18' row 4 : harrison | 30275 | nan | 114 | 1 (2) | 142 (55) | 0 (0) | 0.14% | 37deg4'3''n 96deg26' row 5 : hendricks | 31300 | nan | 179 | 1 (3) | 142 (55) | 0 (0) | 0.05% | 37deg1'12''n 96deg18' row 6 : jefferson | 35125 | cedar vale | 834 | 6 (15) | 144 (56) | 1 (0) | 0.45% | 37deg6'45''n 96deg29' row 7 : lafayette | 37650 | nan | 65 | 0 (1) | 154 (59) | 2 (1) | 1.40% | 37deg15'36''n 96deg10' row 8 : little caney | 41525 | nan | 353 | 3 (8) | 117 (45) | 0 (0) | 0.31% | 37deg3'51''n 96deg1' row 9 : salt creek | 62775 | nan | 123 | 1 (3) | 127 (49) | 0 (0) | 0.34% | 37deg15'13''n 96deg1' row 10 : sedan | 63775 | sedan | 1,660 | 13 (34) | 128 (49) | 1 (0) | 0.65% | 37deg7'50''n 96deg11' row 11 : summit | 69025 | nan | 106 | 1 (2) | 144 (56) | 1 (0) | 0.40% | 37deg8'17''n 96deg19' row 12 : washington | 75550 | nan | 87 | 1 (2) | 121 (47) | 1 (0) | 0.71% | 37deg7'41''n 96deg0'
table_csv/203_459.csv
2
{ "column_index": [ 0 ], "row_index": [ 3 ] }
[ "what are the land areas?", "what township has 142km as their land area?", "besides hendricks what other township has 1424km?" ]
1
harrison
[ "Township", "FIPS", "Population center", "Population", "Population density /km2 (/sq mi)", "Land area km2 (sq mi)", "Water area km2 (sq mi)", "Water %", "Geographic coordinates" ]
besides hendricks what other township has 1424km?
[ [ "Belleville", "5575", "nan", "675", "4 (11)", "155 (60)", "0 (0)", "0.14%", "37deg3'50''N 96deg7'" ], [ "Caneyville", "10425", "nan", "88", "1 (2)", "144 (55)", "1 (0)", "0.38%", "37deg15'23''N 96deg27'" ], [ "Center", "11575", "nan", "75", "1 (1)", "144 (56)", "1 (0)", "0.80%", "37deg15'28''N 96deg18'" ], [ "Harrison", "30275", "nan", "114", "1 (2)", "142 (55)", "0 (0)", "0.14%", "37deg4'3''N 96deg26'" ], [ "Hendricks", "31300", "nan", "179", "1 (3)", "142 (55)", "0 (0)", "0.05%", "37deg1'12''N 96deg18'" ], [ "Jefferson", "35125", "Cedar Vale", "834", "6 (15)", "144 (56)", "1 (0)", "0.45%", "37deg6'45''N 96deg29'" ], [ "Lafayette", "37650", "nan", "65", "0 (1)", "154 (59)", "2 (1)", "1.40%", "37deg15'36''N 96deg10'" ], [ "Little Caney", "41525", "nan", "353", "3 (8)", "117 (45)", "0 (0)", "0.31%", "37deg3'51''N 96deg1'" ], [ "Salt Creek", "62775", "nan", "123", "1 (3)", "127 (49)", "0 (0)", "0.34%", "37deg15'13''N 96deg1'" ], [ "Sedan", "63775", "Sedan", "1,660", "13 (34)", "128 (49)", "1 (0)", "0.65%", "37deg7'50''N 96deg11'" ], [ "Summit", "69025", "nan", "106", "1 (2)", "144 (56)", "1 (0)", "0.40%", "37deg8'17''N 96deg19'" ], [ "Washington", "75550", "nan", "87", "1 (2)", "121 (47)", "1 (0)", "0.71%", "37deg7'41''N 96deg0'" ] ]
[ "Harrison" ]
besides hendricks what other township has 1424km? || what township has 142km as their land area? | what are the land areas?
ns-1042
col : township | fips | population center | population | population density /km2 (/sq mi) | land area km2 (sq mi) | water area km2 (sq mi) | water % | geographic coordinates row 1 : belleville | 5575 | nan | 675 | 4 (11) | 155 (60) | 0 (0) | 0.14% | 37deg3'50''n 96deg7' row 2 : caneyville | 10425 | nan | 88 | 1 (2) | 144 (55) | 1 (0) | 0.38% | 37deg15'23''n 96deg27' row 3 : center | 11575 | nan | 75 | 1 (1) | 144 (56) | 1 (0) | 0.80% | 37deg15'28''n 96deg18' row 4 : harrison | 30275 | nan | 114 | 1 (2) | 142 (55) | 0 (0) | 0.14% | 37deg4'3''n 96deg26' row 5 : hendricks | 31300 | nan | 179 | 1 (3) | 142 (55) | 0 (0) | 0.05% | 37deg1'12''n 96deg18' row 6 : jefferson | 35125 | cedar vale | 834 | 6 (15) | 144 (56) | 1 (0) | 0.45% | 37deg6'45''n 96deg29' row 7 : lafayette | 37650 | nan | 65 | 0 (1) | 154 (59) | 2 (1) | 1.40% | 37deg15'36''n 96deg10' row 8 : little caney | 41525 | nan | 353 | 3 (8) | 117 (45) | 0 (0) | 0.31% | 37deg3'51''n 96deg1' row 9 : salt creek | 62775 | nan | 123 | 1 (3) | 127 (49) | 0 (0) | 0.34% | 37deg15'13''n 96deg1' row 10 : sedan | 63775 | sedan | 1,660 | 13 (34) | 128 (49) | 1 (0) | 0.65% | 37deg7'50''n 96deg11' row 11 : summit | 69025 | nan | 106 | 1 (2) | 144 (56) | 1 (0) | 0.40% | 37deg8'17''n 96deg19' row 12 : washington | 75550 | nan | 87 | 1 (2) | 121 (47) | 1 (0) | 0.71% | 37deg7'41''n 96deg0'
table_csv/203_459.csv
0
{ "column_index": [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11 ] }
[ "what are the townships?" ]
2
belleville, caneyville, center, harrison, hendricks, jefferson, lafayette, little caney, salt creek, sedan, summit, washington
[ "Township", "FIPS", "Population center", "Population", "Population density /km2 (/sq mi)", "Land area km2 (sq mi)", "Water area km2 (sq mi)", "Water %", "Geographic coordinates" ]
what are the townships?
[ [ "Belleville", "5575", "nan", "675", "4 (11)", "155 (60)", "0 (0)", "0.14%", "37deg3'50''N 96deg7'" ], [ "Caneyville", "10425", "nan", "88", "1 (2)", "144 (55)", "1 (0)", "0.38%", "37deg15'23''N 96deg27'" ], [ "Center", "11575", "nan", "75", "1 (1)", "144 (56)", "1 (0)", "0.80%", "37deg15'28''N 96deg18'" ], [ "Harrison", "30275", "nan", "114", "1 (2)", "142 (55)", "0 (0)", "0.14%", "37deg4'3''N 96deg26'" ], [ "Hendricks", "31300", "nan", "179", "1 (3)", "142 (55)", "0 (0)", "0.05%", "37deg1'12''N 96deg18'" ], [ "Jefferson", "35125", "Cedar Vale", "834", "6 (15)", "144 (56)", "1 (0)", "0.45%", "37deg6'45''N 96deg29'" ], [ "Lafayette", "37650", "nan", "65", "0 (1)", "154 (59)", "2 (1)", "1.40%", "37deg15'36''N 96deg10'" ], [ "Little Caney", "41525", "nan", "353", "3 (8)", "117 (45)", "0 (0)", "0.31%", "37deg3'51''N 96deg1'" ], [ "Salt Creek", "62775", "nan", "123", "1 (3)", "127 (49)", "0 (0)", "0.34%", "37deg15'13''N 96deg1'" ], [ "Sedan", "63775", "Sedan", "1,660", "13 (34)", "128 (49)", "1 (0)", "0.65%", "37deg7'50''N 96deg11'" ], [ "Summit", "69025", "nan", "106", "1 (2)", "144 (56)", "1 (0)", "0.40%", "37deg8'17''N 96deg19'" ], [ "Washington", "75550", "nan", "87", "1 (2)", "121 (47)", "1 (0)", "0.71%", "37deg7'41''N 96deg0'" ] ]
[ "Belleville", "Caneyville", "Center", "Harrison", "Hendricks", "Jefferson", "Lafayette", "Little Caney", "Salt Creek", "Sedan", "Summit", "Washington" ]
what are the townships? ||
ns-1042
col : township | fips | population center | population | population density /km2 (/sq mi) | land area km2 (sq mi) | water area km2 (sq mi) | water % | geographic coordinates row 1 : belleville | 5575 | nan | 675 | 4 (11) | 155 (60) | 0 (0) | 0.14% | 37deg3'50''n 96deg7' row 2 : caneyville | 10425 | nan | 88 | 1 (2) | 144 (55) | 1 (0) | 0.38% | 37deg15'23''n 96deg27' row 3 : center | 11575 | nan | 75 | 1 (1) | 144 (56) | 1 (0) | 0.80% | 37deg15'28''n 96deg18' row 4 : harrison | 30275 | nan | 114 | 1 (2) | 142 (55) | 0 (0) | 0.14% | 37deg4'3''n 96deg26' row 5 : hendricks | 31300 | nan | 179 | 1 (3) | 142 (55) | 0 (0) | 0.05% | 37deg1'12''n 96deg18' row 6 : jefferson | 35125 | cedar vale | 834 | 6 (15) | 144 (56) | 1 (0) | 0.45% | 37deg6'45''n 96deg29' row 7 : lafayette | 37650 | nan | 65 | 0 (1) | 154 (59) | 2 (1) | 1.40% | 37deg15'36''n 96deg10' row 8 : little caney | 41525 | nan | 353 | 3 (8) | 117 (45) | 0 (0) | 0.31% | 37deg3'51''n 96deg1' row 9 : salt creek | 62775 | nan | 123 | 1 (3) | 127 (49) | 0 (0) | 0.34% | 37deg15'13''n 96deg1' row 10 : sedan | 63775 | sedan | 1,660 | 13 (34) | 128 (49) | 1 (0) | 0.65% | 37deg7'50''n 96deg11' row 11 : summit | 69025 | nan | 106 | 1 (2) | 144 (56) | 1 (0) | 0.40% | 37deg8'17''n 96deg19' row 12 : washington | 75550 | nan | 87 | 1 (2) | 121 (47) | 1 (0) | 0.71% | 37deg7'41''n 96deg0'
table_csv/203_459.csv
1
{ "column_index": [ 5 ], "row_index": [ 4 ] }
[ "what are the townships?", "what is hendrick's land area?" ]
2
142 (55)
[ "Township", "FIPS", "Population center", "Population", "Population density /km2 (/sq mi)", "Land area km2 (sq mi)", "Water area km2 (sq mi)", "Water %", "Geographic coordinates" ]
what is hendrick's land area?
[ [ "Belleville", "5575", "nan", "675", "4 (11)", "155 (60)", "0 (0)", "0.14%", "37deg3'50''N 96deg7'" ], [ "Caneyville", "10425", "nan", "88", "1 (2)", "144 (55)", "1 (0)", "0.38%", "37deg15'23''N 96deg27'" ], [ "Center", "11575", "nan", "75", "1 (1)", "144 (56)", "1 (0)", "0.80%", "37deg15'28''N 96deg18'" ], [ "Harrison", "30275", "nan", "114", "1 (2)", "142 (55)", "0 (0)", "0.14%", "37deg4'3''N 96deg26'" ], [ "Hendricks", "31300", "nan", "179", "1 (3)", "142 (55)", "0 (0)", "0.05%", "37deg1'12''N 96deg18'" ], [ "Jefferson", "35125", "Cedar Vale", "834", "6 (15)", "144 (56)", "1 (0)", "0.45%", "37deg6'45''N 96deg29'" ], [ "Lafayette", "37650", "nan", "65", "0 (1)", "154 (59)", "2 (1)", "1.40%", "37deg15'36''N 96deg10'" ], [ "Little Caney", "41525", "nan", "353", "3 (8)", "117 (45)", "0 (0)", "0.31%", "37deg3'51''N 96deg1'" ], [ "Salt Creek", "62775", "nan", "123", "1 (3)", "127 (49)", "0 (0)", "0.34%", "37deg15'13''N 96deg1'" ], [ "Sedan", "63775", "Sedan", "1,660", "13 (34)", "128 (49)", "1 (0)", "0.65%", "37deg7'50''N 96deg11'" ], [ "Summit", "69025", "nan", "106", "1 (2)", "144 (56)", "1 (0)", "0.40%", "37deg8'17''N 96deg19'" ], [ "Washington", "75550", "nan", "87", "1 (2)", "121 (47)", "1 (0)", "0.71%", "37deg7'41''N 96deg0'" ] ]
[ "142 (55)" ]
what is hendrick's land area? || what are the townships?
ns-1042
col : township | fips | population center | population | population density /km2 (/sq mi) | land area km2 (sq mi) | water area km2 (sq mi) | water % | geographic coordinates row 1 : belleville | 5575 | nan | 675 | 4 (11) | 155 (60) | 0 (0) | 0.14% | 37deg3'50''n 96deg7' row 2 : caneyville | 10425 | nan | 88 | 1 (2) | 144 (55) | 1 (0) | 0.38% | 37deg15'23''n 96deg27' row 3 : center | 11575 | nan | 75 | 1 (1) | 144 (56) | 1 (0) | 0.80% | 37deg15'28''n 96deg18' row 4 : harrison | 30275 | nan | 114 | 1 (2) | 142 (55) | 0 (0) | 0.14% | 37deg4'3''n 96deg26' row 5 : hendricks | 31300 | nan | 179 | 1 (3) | 142 (55) | 0 (0) | 0.05% | 37deg1'12''n 96deg18' row 6 : jefferson | 35125 | cedar vale | 834 | 6 (15) | 144 (56) | 1 (0) | 0.45% | 37deg6'45''n 96deg29' row 7 : lafayette | 37650 | nan | 65 | 0 (1) | 154 (59) | 2 (1) | 1.40% | 37deg15'36''n 96deg10' row 8 : little caney | 41525 | nan | 353 | 3 (8) | 117 (45) | 0 (0) | 0.31% | 37deg3'51''n 96deg1' row 9 : salt creek | 62775 | nan | 123 | 1 (3) | 127 (49) | 0 (0) | 0.34% | 37deg15'13''n 96deg1' row 10 : sedan | 63775 | sedan | 1,660 | 13 (34) | 128 (49) | 1 (0) | 0.65% | 37deg7'50''n 96deg11' row 11 : summit | 69025 | nan | 106 | 1 (2) | 144 (56) | 1 (0) | 0.40% | 37deg8'17''n 96deg19' row 12 : washington | 75550 | nan | 87 | 1 (2) | 121 (47) | 1 (0) | 0.71% | 37deg7'41''n 96deg0'
table_csv/203_459.csv
2
{ "column_index": [ 0 ], "row_index": [ 3 ] }
[ "what are the townships?", "what is hendrick's land area?", "which other township has this value?" ]
2
harrison
[ "Township", "FIPS", "Population center", "Population", "Population density /km2 (/sq mi)", "Land area km2 (sq mi)", "Water area km2 (sq mi)", "Water %", "Geographic coordinates" ]
which other township has this value?
[ [ "Belleville", "5575", "nan", "675", "4 (11)", "155 (60)", "0 (0)", "0.14%", "37deg3'50''N 96deg7'" ], [ "Caneyville", "10425", "nan", "88", "1 (2)", "144 (55)", "1 (0)", "0.38%", "37deg15'23''N 96deg27'" ], [ "Center", "11575", "nan", "75", "1 (1)", "144 (56)", "1 (0)", "0.80%", "37deg15'28''N 96deg18'" ], [ "Harrison", "30275", "nan", "114", "1 (2)", "142 (55)", "0 (0)", "0.14%", "37deg4'3''N 96deg26'" ], [ "Hendricks", "31300", "nan", "179", "1 (3)", "142 (55)", "0 (0)", "0.05%", "37deg1'12''N 96deg18'" ], [ "Jefferson", "35125", "Cedar Vale", "834", "6 (15)", "144 (56)", "1 (0)", "0.45%", "37deg6'45''N 96deg29'" ], [ "Lafayette", "37650", "nan", "65", "0 (1)", "154 (59)", "2 (1)", "1.40%", "37deg15'36''N 96deg10'" ], [ "Little Caney", "41525", "nan", "353", "3 (8)", "117 (45)", "0 (0)", "0.31%", "37deg3'51''N 96deg1'" ], [ "Salt Creek", "62775", "nan", "123", "1 (3)", "127 (49)", "0 (0)", "0.34%", "37deg15'13''N 96deg1'" ], [ "Sedan", "63775", "Sedan", "1,660", "13 (34)", "128 (49)", "1 (0)", "0.65%", "37deg7'50''N 96deg11'" ], [ "Summit", "69025", "nan", "106", "1 (2)", "144 (56)", "1 (0)", "0.40%", "37deg8'17''N 96deg19'" ], [ "Washington", "75550", "nan", "87", "1 (2)", "121 (47)", "1 (0)", "0.71%", "37deg7'41''N 96deg0'" ] ]
[ "Harrison" ]
which other township has this value? || what is hendrick's land area? | what are the townships?
nt-8417
col : pick # | nfl team | player | position | college row 1 : 417 | buffalo bills | wayne lineberry | linebacker | east carolina row 2 : 418 | atlanta falcons | paul williams | running back | california row 3 : 419 | philadelphia eagles | bob haack | tackle | linfield (ore.) row 4 : 420 | pittsburgh steelers | bill eppright | kicker | kent state row 5 : 421 | cincinnati bengals | terry story | tackle | georgia tech row 6 : 422 | boston patriots | george muse | linebacker | grambling row 7 : 423 | new orleans saints | chico kurzawski | defensive back | northwestern row 8 : 424 | detroit lions | gary steele | tight end | army row 9 : 425 | denver broncos | buster o'brien | quarterback | richmond row 10 : 426 | washington redskins | rich dobbert | defensive end | springfield (mass.) row 11 : 427 | miami dolphins | tom krallman | defensive end | xavier row 12 : 428 | green bay packers | john mack | running back | central missouri row 13 : 429 | new york giants | ken riley | linebacker | texas-arlington row 14 : 430 | houston oilers | hank autry | center | southern mississippi row 15 : 431 | chicago bears | bob long | wide receiver | texas a&m row 16 : 432 | san francisco 49ers | joe rushing | linebacker | memphis state row 17 : 433 | minnesota vikings | wendell housely | running back | texas a&m row 18 : 434 | san diego chargers | larry rentz | defensive back | florida row 19 : 435 | st. louis cardinals | george hummer | center | arizona state row 20 : 436 | cleveland browns | bob oliver | defensive end | abilene christian row 21 : 437 | los angeles rams | jim thorpe | defensive back | hofstra row 22 : 438 | kansas city chiefs | ralph jenkins | defensive back | tuskegee row 23 : 439 | dallas cowboys | bill bailey | defensive tackle | lewis & clark row 24 : 440 | oakland raiders | billy austin | tight end | arkansas am&n row 25 : 441 | baltimore colts | joe cowan | wide receiver | johns hopkins row 26 : 442 | new york jets | fred zirkie | defensive tackle | duke
table_csv/203_229.csv
0
{ "column_index": [ 2 ], "row_index": [ 17 ] }
[ "who did the chargers draft?" ]
0
larry rentz
[ "Pick #", "NFL Team", "Player", "Position", "College" ]
who did the chargers draft?
[ [ "417", "Buffalo Bills", "Wayne Lineberry", "Linebacker", "East Carolina" ], [ "418", "Atlanta Falcons", "Paul Williams", "Running back", "California" ], [ "419", "Philadelphia Eagles", "Bob Haack", "Tackle", "Linfield (Ore.)" ], [ "420", "Pittsburgh Steelers", "Bill Eppright", "Kicker", "Kent State" ], [ "421", "Cincinnati Bengals", "Terry Story", "Tackle", "Georgia Tech" ], [ "422", "Boston Patriots", "George Muse", "Linebacker", "Grambling" ], [ "423", "New Orleans Saints", "Chico Kurzawski", "Defensive back", "Northwestern" ], [ "424", "Detroit Lions", "Gary Steele", "Tight end", "Army" ], [ "425", "Denver Broncos", "Buster O'Brien", "Quarterback", "Richmond" ], [ "426", "Washington Redskins", "Rich Dobbert", "Defensive end", "Springfield (Mass.)" ], [ "427", "Miami Dolphins", "Tom Krallman", "Defensive end", "Xavier" ], [ "428", "Green Bay Packers", "John Mack", "Running back", "Central Missouri" ], [ "429", "New York Giants", "Ken Riley", "Linebacker", "Texas-Arlington" ], [ "430", "Houston Oilers", "Hank Autry", "Center", "Southern Mississippi" ], [ "431", "Chicago Bears", "Bob Long", "Wide receiver", "Texas A&M" ], [ "432", "San Francisco 49ers", "Joe Rushing", "Linebacker", "Memphis State" ], [ "433", "Minnesota Vikings", "Wendell Housely", "Running back", "Texas A&M" ], [ "434", "San Diego Chargers", "Larry Rentz", "Defensive back", "Florida" ], [ "435", "St. Louis Cardinals", "George Hummer", "Center", "Arizona State" ], [ "436", "Cleveland Browns", "Bob Oliver", "Defensive end", "Abilene Christian" ], [ "437", "Los Angeles Rams", "Jim Thorpe", "Defensive back", "Hofstra" ], [ "438", "Kansas City Chiefs", "Ralph Jenkins", "Defensive back", "Tuskegee" ], [ "439", "Dallas Cowboys", "Bill Bailey", "Defensive tackle", "Lewis & Clark" ], [ "440", "Oakland Raiders", "Billy Austin", "Tight end", "Arkansas AM&N" ], [ "441", "Baltimore Colts", "Joe Cowan", "Wide receiver", "Johns Hopkins" ], [ "442", "New York Jets", "Fred Zirkie", "Defensive tackle", "Duke" ] ]
[ "Larry Rentz" ]
who did the chargers draft? ||
nt-8417
col : pick # | nfl team | player | position | college row 1 : 417 | buffalo bills | wayne lineberry | linebacker | east carolina row 2 : 418 | atlanta falcons | paul williams | running back | california row 3 : 419 | philadelphia eagles | bob haack | tackle | linfield (ore.) row 4 : 420 | pittsburgh steelers | bill eppright | kicker | kent state row 5 : 421 | cincinnati bengals | terry story | tackle | georgia tech row 6 : 422 | boston patriots | george muse | linebacker | grambling row 7 : 423 | new orleans saints | chico kurzawski | defensive back | northwestern row 8 : 424 | detroit lions | gary steele | tight end | army row 9 : 425 | denver broncos | buster o'brien | quarterback | richmond row 10 : 426 | washington redskins | rich dobbert | defensive end | springfield (mass.) row 11 : 427 | miami dolphins | tom krallman | defensive end | xavier row 12 : 428 | green bay packers | john mack | running back | central missouri row 13 : 429 | new york giants | ken riley | linebacker | texas-arlington row 14 : 430 | houston oilers | hank autry | center | southern mississippi row 15 : 431 | chicago bears | bob long | wide receiver | texas a&m row 16 : 432 | san francisco 49ers | joe rushing | linebacker | memphis state row 17 : 433 | minnesota vikings | wendell housely | running back | texas a&m row 18 : 434 | san diego chargers | larry rentz | defensive back | florida row 19 : 435 | st. louis cardinals | george hummer | center | arizona state row 20 : 436 | cleveland browns | bob oliver | defensive end | abilene christian row 21 : 437 | los angeles rams | jim thorpe | defensive back | hofstra row 22 : 438 | kansas city chiefs | ralph jenkins | defensive back | tuskegee row 23 : 439 | dallas cowboys | bill bailey | defensive tackle | lewis & clark row 24 : 440 | oakland raiders | billy austin | tight end | arkansas am&n row 25 : 441 | baltimore colts | joe cowan | wide receiver | johns hopkins row 26 : 442 | new york jets | fred zirkie | defensive tackle | duke
table_csv/203_229.csv
1
{ "column_index": [ 4 ], "row_index": [ 17 ] }
[ "who did the chargers draft?", "where did larry rentz attend college?" ]
0
florida
[ "Pick #", "NFL Team", "Player", "Position", "College" ]
where did larry rentz attend college?
[ [ "417", "Buffalo Bills", "Wayne Lineberry", "Linebacker", "East Carolina" ], [ "418", "Atlanta Falcons", "Paul Williams", "Running back", "California" ], [ "419", "Philadelphia Eagles", "Bob Haack", "Tackle", "Linfield (Ore.)" ], [ "420", "Pittsburgh Steelers", "Bill Eppright", "Kicker", "Kent State" ], [ "421", "Cincinnati Bengals", "Terry Story", "Tackle", "Georgia Tech" ], [ "422", "Boston Patriots", "George Muse", "Linebacker", "Grambling" ], [ "423", "New Orleans Saints", "Chico Kurzawski", "Defensive back", "Northwestern" ], [ "424", "Detroit Lions", "Gary Steele", "Tight end", "Army" ], [ "425", "Denver Broncos", "Buster O'Brien", "Quarterback", "Richmond" ], [ "426", "Washington Redskins", "Rich Dobbert", "Defensive end", "Springfield (Mass.)" ], [ "427", "Miami Dolphins", "Tom Krallman", "Defensive end", "Xavier" ], [ "428", "Green Bay Packers", "John Mack", "Running back", "Central Missouri" ], [ "429", "New York Giants", "Ken Riley", "Linebacker", "Texas-Arlington" ], [ "430", "Houston Oilers", "Hank Autry", "Center", "Southern Mississippi" ], [ "431", "Chicago Bears", "Bob Long", "Wide receiver", "Texas A&M" ], [ "432", "San Francisco 49ers", "Joe Rushing", "Linebacker", "Memphis State" ], [ "433", "Minnesota Vikings", "Wendell Housely", "Running back", "Texas A&M" ], [ "434", "San Diego Chargers", "Larry Rentz", "Defensive back", "Florida" ], [ "435", "St. Louis Cardinals", "George Hummer", "Center", "Arizona State" ], [ "436", "Cleveland Browns", "Bob Oliver", "Defensive end", "Abilene Christian" ], [ "437", "Los Angeles Rams", "Jim Thorpe", "Defensive back", "Hofstra" ], [ "438", "Kansas City Chiefs", "Ralph Jenkins", "Defensive back", "Tuskegee" ], [ "439", "Dallas Cowboys", "Bill Bailey", "Defensive tackle", "Lewis & Clark" ], [ "440", "Oakland Raiders", "Billy Austin", "Tight end", "Arkansas AM&N" ], [ "441", "Baltimore Colts", "Joe Cowan", "Wide receiver", "Johns Hopkins" ], [ "442", "New York Jets", "Fred Zirkie", "Defensive tackle", "Duke" ] ]
[ "Florida" ]
where did larry rentz attend college? || who did the chargers draft?
nt-8417
col : pick # | nfl team | player | position | college row 1 : 417 | buffalo bills | wayne lineberry | linebacker | east carolina row 2 : 418 | atlanta falcons | paul williams | running back | california row 3 : 419 | philadelphia eagles | bob haack | tackle | linfield (ore.) row 4 : 420 | pittsburgh steelers | bill eppright | kicker | kent state row 5 : 421 | cincinnati bengals | terry story | tackle | georgia tech row 6 : 422 | boston patriots | george muse | linebacker | grambling row 7 : 423 | new orleans saints | chico kurzawski | defensive back | northwestern row 8 : 424 | detroit lions | gary steele | tight end | army row 9 : 425 | denver broncos | buster o'brien | quarterback | richmond row 10 : 426 | washington redskins | rich dobbert | defensive end | springfield (mass.) row 11 : 427 | miami dolphins | tom krallman | defensive end | xavier row 12 : 428 | green bay packers | john mack | running back | central missouri row 13 : 429 | new york giants | ken riley | linebacker | texas-arlington row 14 : 430 | houston oilers | hank autry | center | southern mississippi row 15 : 431 | chicago bears | bob long | wide receiver | texas a&m row 16 : 432 | san francisco 49ers | joe rushing | linebacker | memphis state row 17 : 433 | minnesota vikings | wendell housely | running back | texas a&m row 18 : 434 | san diego chargers | larry rentz | defensive back | florida row 19 : 435 | st. louis cardinals | george hummer | center | arizona state row 20 : 436 | cleveland browns | bob oliver | defensive end | abilene christian row 21 : 437 | los angeles rams | jim thorpe | defensive back | hofstra row 22 : 438 | kansas city chiefs | ralph jenkins | defensive back | tuskegee row 23 : 439 | dallas cowboys | bill bailey | defensive tackle | lewis & clark row 24 : 440 | oakland raiders | billy austin | tight end | arkansas am&n row 25 : 441 | baltimore colts | joe cowan | wide receiver | johns hopkins row 26 : 442 | new york jets | fred zirkie | defensive tackle | duke
table_csv/203_229.csv
0
{ "column_index": [ 2, 2, 2, 2 ], "row_index": [ 6, 17, 20, 21 ] }
[ "which players played the position defensive back?" ]
1
chico kurzawski, larry rentz, jim thorpe, ralph jenkins
[ "Pick #", "NFL Team", "Player", "Position", "College" ]
which players played the position defensive back?
[ [ "417", "Buffalo Bills", "Wayne Lineberry", "Linebacker", "East Carolina" ], [ "418", "Atlanta Falcons", "Paul Williams", "Running back", "California" ], [ "419", "Philadelphia Eagles", "Bob Haack", "Tackle", "Linfield (Ore.)" ], [ "420", "Pittsburgh Steelers", "Bill Eppright", "Kicker", "Kent State" ], [ "421", "Cincinnati Bengals", "Terry Story", "Tackle", "Georgia Tech" ], [ "422", "Boston Patriots", "George Muse", "Linebacker", "Grambling" ], [ "423", "New Orleans Saints", "Chico Kurzawski", "Defensive back", "Northwestern" ], [ "424", "Detroit Lions", "Gary Steele", "Tight end", "Army" ], [ "425", "Denver Broncos", "Buster O'Brien", "Quarterback", "Richmond" ], [ "426", "Washington Redskins", "Rich Dobbert", "Defensive end", "Springfield (Mass.)" ], [ "427", "Miami Dolphins", "Tom Krallman", "Defensive end", "Xavier" ], [ "428", "Green Bay Packers", "John Mack", "Running back", "Central Missouri" ], [ "429", "New York Giants", "Ken Riley", "Linebacker", "Texas-Arlington" ], [ "430", "Houston Oilers", "Hank Autry", "Center", "Southern Mississippi" ], [ "431", "Chicago Bears", "Bob Long", "Wide receiver", "Texas A&M" ], [ "432", "San Francisco 49ers", "Joe Rushing", "Linebacker", "Memphis State" ], [ "433", "Minnesota Vikings", "Wendell Housely", "Running back", "Texas A&M" ], [ "434", "San Diego Chargers", "Larry Rentz", "Defensive back", "Florida" ], [ "435", "St. Louis Cardinals", "George Hummer", "Center", "Arizona State" ], [ "436", "Cleveland Browns", "Bob Oliver", "Defensive end", "Abilene Christian" ], [ "437", "Los Angeles Rams", "Jim Thorpe", "Defensive back", "Hofstra" ], [ "438", "Kansas City Chiefs", "Ralph Jenkins", "Defensive back", "Tuskegee" ], [ "439", "Dallas Cowboys", "Bill Bailey", "Defensive tackle", "Lewis & Clark" ], [ "440", "Oakland Raiders", "Billy Austin", "Tight end", "Arkansas AM&N" ], [ "441", "Baltimore Colts", "Joe Cowan", "Wide receiver", "Johns Hopkins" ], [ "442", "New York Jets", "Fred Zirkie", "Defensive tackle", "Duke" ] ]
[ "Chico Kurzawski", "Larry Rentz", "Jim Thorpe", "Ralph Jenkins" ]
which players played the position defensive back? ||
nt-8417
col : pick # | nfl team | player | position | college row 1 : 417 | buffalo bills | wayne lineberry | linebacker | east carolina row 2 : 418 | atlanta falcons | paul williams | running back | california row 3 : 419 | philadelphia eagles | bob haack | tackle | linfield (ore.) row 4 : 420 | pittsburgh steelers | bill eppright | kicker | kent state row 5 : 421 | cincinnati bengals | terry story | tackle | georgia tech row 6 : 422 | boston patriots | george muse | linebacker | grambling row 7 : 423 | new orleans saints | chico kurzawski | defensive back | northwestern row 8 : 424 | detroit lions | gary steele | tight end | army row 9 : 425 | denver broncos | buster o'brien | quarterback | richmond row 10 : 426 | washington redskins | rich dobbert | defensive end | springfield (mass.) row 11 : 427 | miami dolphins | tom krallman | defensive end | xavier row 12 : 428 | green bay packers | john mack | running back | central missouri row 13 : 429 | new york giants | ken riley | linebacker | texas-arlington row 14 : 430 | houston oilers | hank autry | center | southern mississippi row 15 : 431 | chicago bears | bob long | wide receiver | texas a&m row 16 : 432 | san francisco 49ers | joe rushing | linebacker | memphis state row 17 : 433 | minnesota vikings | wendell housely | running back | texas a&m row 18 : 434 | san diego chargers | larry rentz | defensive back | florida row 19 : 435 | st. louis cardinals | george hummer | center | arizona state row 20 : 436 | cleveland browns | bob oliver | defensive end | abilene christian row 21 : 437 | los angeles rams | jim thorpe | defensive back | hofstra row 22 : 438 | kansas city chiefs | ralph jenkins | defensive back | tuskegee row 23 : 439 | dallas cowboys | bill bailey | defensive tackle | lewis & clark row 24 : 440 | oakland raiders | billy austin | tight end | arkansas am&n row 25 : 441 | baltimore colts | joe cowan | wide receiver | johns hopkins row 26 : 442 | new york jets | fred zirkie | defensive tackle | duke
table_csv/203_229.csv
1
{ "column_index": [ 2 ], "row_index": [ 17 ] }
[ "which players played the position defensive back?", "of these, which one plays for the san diego chargers?" ]
1
larry rentz
[ "Pick #", "NFL Team", "Player", "Position", "College" ]
of these, which one plays for the san diego chargers?
[ [ "417", "Buffalo Bills", "Wayne Lineberry", "Linebacker", "East Carolina" ], [ "418", "Atlanta Falcons", "Paul Williams", "Running back", "California" ], [ "419", "Philadelphia Eagles", "Bob Haack", "Tackle", "Linfield (Ore.)" ], [ "420", "Pittsburgh Steelers", "Bill Eppright", "Kicker", "Kent State" ], [ "421", "Cincinnati Bengals", "Terry Story", "Tackle", "Georgia Tech" ], [ "422", "Boston Patriots", "George Muse", "Linebacker", "Grambling" ], [ "423", "New Orleans Saints", "Chico Kurzawski", "Defensive back", "Northwestern" ], [ "424", "Detroit Lions", "Gary Steele", "Tight end", "Army" ], [ "425", "Denver Broncos", "Buster O'Brien", "Quarterback", "Richmond" ], [ "426", "Washington Redskins", "Rich Dobbert", "Defensive end", "Springfield (Mass.)" ], [ "427", "Miami Dolphins", "Tom Krallman", "Defensive end", "Xavier" ], [ "428", "Green Bay Packers", "John Mack", "Running back", "Central Missouri" ], [ "429", "New York Giants", "Ken Riley", "Linebacker", "Texas-Arlington" ], [ "430", "Houston Oilers", "Hank Autry", "Center", "Southern Mississippi" ], [ "431", "Chicago Bears", "Bob Long", "Wide receiver", "Texas A&M" ], [ "432", "San Francisco 49ers", "Joe Rushing", "Linebacker", "Memphis State" ], [ "433", "Minnesota Vikings", "Wendell Housely", "Running back", "Texas A&M" ], [ "434", "San Diego Chargers", "Larry Rentz", "Defensive back", "Florida" ], [ "435", "St. Louis Cardinals", "George Hummer", "Center", "Arizona State" ], [ "436", "Cleveland Browns", "Bob Oliver", "Defensive end", "Abilene Christian" ], [ "437", "Los Angeles Rams", "Jim Thorpe", "Defensive back", "Hofstra" ], [ "438", "Kansas City Chiefs", "Ralph Jenkins", "Defensive back", "Tuskegee" ], [ "439", "Dallas Cowboys", "Bill Bailey", "Defensive tackle", "Lewis & Clark" ], [ "440", "Oakland Raiders", "Billy Austin", "Tight end", "Arkansas AM&N" ], [ "441", "Baltimore Colts", "Joe Cowan", "Wide receiver", "Johns Hopkins" ], [ "442", "New York Jets", "Fred Zirkie", "Defensive tackle", "Duke" ] ]
[ "Larry Rentz" ]
of these, which one plays for the san diego chargers? || which players played the position defensive back?
nt-8417
col : pick # | nfl team | player | position | college row 1 : 417 | buffalo bills | wayne lineberry | linebacker | east carolina row 2 : 418 | atlanta falcons | paul williams | running back | california row 3 : 419 | philadelphia eagles | bob haack | tackle | linfield (ore.) row 4 : 420 | pittsburgh steelers | bill eppright | kicker | kent state row 5 : 421 | cincinnati bengals | terry story | tackle | georgia tech row 6 : 422 | boston patriots | george muse | linebacker | grambling row 7 : 423 | new orleans saints | chico kurzawski | defensive back | northwestern row 8 : 424 | detroit lions | gary steele | tight end | army row 9 : 425 | denver broncos | buster o'brien | quarterback | richmond row 10 : 426 | washington redskins | rich dobbert | defensive end | springfield (mass.) row 11 : 427 | miami dolphins | tom krallman | defensive end | xavier row 12 : 428 | green bay packers | john mack | running back | central missouri row 13 : 429 | new york giants | ken riley | linebacker | texas-arlington row 14 : 430 | houston oilers | hank autry | center | southern mississippi row 15 : 431 | chicago bears | bob long | wide receiver | texas a&m row 16 : 432 | san francisco 49ers | joe rushing | linebacker | memphis state row 17 : 433 | minnesota vikings | wendell housely | running back | texas a&m row 18 : 434 | san diego chargers | larry rentz | defensive back | florida row 19 : 435 | st. louis cardinals | george hummer | center | arizona state row 20 : 436 | cleveland browns | bob oliver | defensive end | abilene christian row 21 : 437 | los angeles rams | jim thorpe | defensive back | hofstra row 22 : 438 | kansas city chiefs | ralph jenkins | defensive back | tuskegee row 23 : 439 | dallas cowboys | bill bailey | defensive tackle | lewis & clark row 24 : 440 | oakland raiders | billy austin | tight end | arkansas am&n row 25 : 441 | baltimore colts | joe cowan | wide receiver | johns hopkins row 26 : 442 | new york jets | fred zirkie | defensive tackle | duke
table_csv/203_229.csv
2
{ "column_index": [ 4 ], "row_index": [ 17 ] }
[ "which players played the position defensive back?", "of these, which one plays for the san diego chargers?", "which college did this player attend?" ]
1
florida
[ "Pick #", "NFL Team", "Player", "Position", "College" ]
which college did this player attend?
[ [ "417", "Buffalo Bills", "Wayne Lineberry", "Linebacker", "East Carolina" ], [ "418", "Atlanta Falcons", "Paul Williams", "Running back", "California" ], [ "419", "Philadelphia Eagles", "Bob Haack", "Tackle", "Linfield (Ore.)" ], [ "420", "Pittsburgh Steelers", "Bill Eppright", "Kicker", "Kent State" ], [ "421", "Cincinnati Bengals", "Terry Story", "Tackle", "Georgia Tech" ], [ "422", "Boston Patriots", "George Muse", "Linebacker", "Grambling" ], [ "423", "New Orleans Saints", "Chico Kurzawski", "Defensive back", "Northwestern" ], [ "424", "Detroit Lions", "Gary Steele", "Tight end", "Army" ], [ "425", "Denver Broncos", "Buster O'Brien", "Quarterback", "Richmond" ], [ "426", "Washington Redskins", "Rich Dobbert", "Defensive end", "Springfield (Mass.)" ], [ "427", "Miami Dolphins", "Tom Krallman", "Defensive end", "Xavier" ], [ "428", "Green Bay Packers", "John Mack", "Running back", "Central Missouri" ], [ "429", "New York Giants", "Ken Riley", "Linebacker", "Texas-Arlington" ], [ "430", "Houston Oilers", "Hank Autry", "Center", "Southern Mississippi" ], [ "431", "Chicago Bears", "Bob Long", "Wide receiver", "Texas A&M" ], [ "432", "San Francisco 49ers", "Joe Rushing", "Linebacker", "Memphis State" ], [ "433", "Minnesota Vikings", "Wendell Housely", "Running back", "Texas A&M" ], [ "434", "San Diego Chargers", "Larry Rentz", "Defensive back", "Florida" ], [ "435", "St. Louis Cardinals", "George Hummer", "Center", "Arizona State" ], [ "436", "Cleveland Browns", "Bob Oliver", "Defensive end", "Abilene Christian" ], [ "437", "Los Angeles Rams", "Jim Thorpe", "Defensive back", "Hofstra" ], [ "438", "Kansas City Chiefs", "Ralph Jenkins", "Defensive back", "Tuskegee" ], [ "439", "Dallas Cowboys", "Bill Bailey", "Defensive tackle", "Lewis & Clark" ], [ "440", "Oakland Raiders", "Billy Austin", "Tight end", "Arkansas AM&N" ], [ "441", "Baltimore Colts", "Joe Cowan", "Wide receiver", "Johns Hopkins" ], [ "442", "New York Jets", "Fred Zirkie", "Defensive tackle", "Duke" ] ]
[ "Florida" ]
which college did this player attend? || of these, which one plays for the san diego chargers? | which players played the position defensive back?
nt-8417
col : pick # | nfl team | player | position | college row 1 : 417 | buffalo bills | wayne lineberry | linebacker | east carolina row 2 : 418 | atlanta falcons | paul williams | running back | california row 3 : 419 | philadelphia eagles | bob haack | tackle | linfield (ore.) row 4 : 420 | pittsburgh steelers | bill eppright | kicker | kent state row 5 : 421 | cincinnati bengals | terry story | tackle | georgia tech row 6 : 422 | boston patriots | george muse | linebacker | grambling row 7 : 423 | new orleans saints | chico kurzawski | defensive back | northwestern row 8 : 424 | detroit lions | gary steele | tight end | army row 9 : 425 | denver broncos | buster o'brien | quarterback | richmond row 10 : 426 | washington redskins | rich dobbert | defensive end | springfield (mass.) row 11 : 427 | miami dolphins | tom krallman | defensive end | xavier row 12 : 428 | green bay packers | john mack | running back | central missouri row 13 : 429 | new york giants | ken riley | linebacker | texas-arlington row 14 : 430 | houston oilers | hank autry | center | southern mississippi row 15 : 431 | chicago bears | bob long | wide receiver | texas a&m row 16 : 432 | san francisco 49ers | joe rushing | linebacker | memphis state row 17 : 433 | minnesota vikings | wendell housely | running back | texas a&m row 18 : 434 | san diego chargers | larry rentz | defensive back | florida row 19 : 435 | st. louis cardinals | george hummer | center | arizona state row 20 : 436 | cleveland browns | bob oliver | defensive end | abilene christian row 21 : 437 | los angeles rams | jim thorpe | defensive back | hofstra row 22 : 438 | kansas city chiefs | ralph jenkins | defensive back | tuskegee row 23 : 439 | dallas cowboys | bill bailey | defensive tackle | lewis & clark row 24 : 440 | oakland raiders | billy austin | tight end | arkansas am&n row 25 : 441 | baltimore colts | joe cowan | wide receiver | johns hopkins row 26 : 442 | new york jets | fred zirkie | defensive tackle | duke
table_csv/203_229.csv
0
{ "column_index": [ 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25 ] }
[ "what are all the colleges?" ]
2
east carolina, california, linfield (ore.), kent state, georgia tech, grambling, northwestern, army, richmond, springfield (mass.), xavier, central missouri, texas-arlington, southern mississippi, texas a&m, memphis state, texas a&m, florida, arizona state, abilene christian, hofstra, tuskegee, lewis & clark, arkansas am&n, johns hopkins, duke
[ "Pick #", "NFL Team", "Player", "Position", "College" ]
what are all the colleges?
[ [ "417", "Buffalo Bills", "Wayne Lineberry", "Linebacker", "East Carolina" ], [ "418", "Atlanta Falcons", "Paul Williams", "Running back", "California" ], [ "419", "Philadelphia Eagles", "Bob Haack", "Tackle", "Linfield (Ore.)" ], [ "420", "Pittsburgh Steelers", "Bill Eppright", "Kicker", "Kent State" ], [ "421", "Cincinnati Bengals", "Terry Story", "Tackle", "Georgia Tech" ], [ "422", "Boston Patriots", "George Muse", "Linebacker", "Grambling" ], [ "423", "New Orleans Saints", "Chico Kurzawski", "Defensive back", "Northwestern" ], [ "424", "Detroit Lions", "Gary Steele", "Tight end", "Army" ], [ "425", "Denver Broncos", "Buster O'Brien", "Quarterback", "Richmond" ], [ "426", "Washington Redskins", "Rich Dobbert", "Defensive end", "Springfield (Mass.)" ], [ "427", "Miami Dolphins", "Tom Krallman", "Defensive end", "Xavier" ], [ "428", "Green Bay Packers", "John Mack", "Running back", "Central Missouri" ], [ "429", "New York Giants", "Ken Riley", "Linebacker", "Texas-Arlington" ], [ "430", "Houston Oilers", "Hank Autry", "Center", "Southern Mississippi" ], [ "431", "Chicago Bears", "Bob Long", "Wide receiver", "Texas A&M" ], [ "432", "San Francisco 49ers", "Joe Rushing", "Linebacker", "Memphis State" ], [ "433", "Minnesota Vikings", "Wendell Housely", "Running back", "Texas A&M" ], [ "434", "San Diego Chargers", "Larry Rentz", "Defensive back", "Florida" ], [ "435", "St. Louis Cardinals", "George Hummer", "Center", "Arizona State" ], [ "436", "Cleveland Browns", "Bob Oliver", "Defensive end", "Abilene Christian" ], [ "437", "Los Angeles Rams", "Jim Thorpe", "Defensive back", "Hofstra" ], [ "438", "Kansas City Chiefs", "Ralph Jenkins", "Defensive back", "Tuskegee" ], [ "439", "Dallas Cowboys", "Bill Bailey", "Defensive tackle", "Lewis & Clark" ], [ "440", "Oakland Raiders", "Billy Austin", "Tight end", "Arkansas AM&N" ], [ "441", "Baltimore Colts", "Joe Cowan", "Wide receiver", "Johns Hopkins" ], [ "442", "New York Jets", "Fred Zirkie", "Defensive tackle", "Duke" ] ]
[ "East Carolina", "California", "Linfield (Ore.)", "Kent State", "Georgia Tech", "Grambling", "Northwestern", "Army", "Richmond", "Springfield (Mass.)", "Xavier", "Central Missouri", "Texas-Arlington", "Southern Mississippi", "Texas A&M", "Memphis State", "Texas A&M", "Florida", "Arizona State", "Abilene Christian", "Hofstra", "Tuskegee", "Lewis & Clark", "Arkansas AM&N", "Johns Hopkins", "Duke" ]
what are all the colleges? ||
nt-8417
col : pick # | nfl team | player | position | college row 1 : 417 | buffalo bills | wayne lineberry | linebacker | east carolina row 2 : 418 | atlanta falcons | paul williams | running back | california row 3 : 419 | philadelphia eagles | bob haack | tackle | linfield (ore.) row 4 : 420 | pittsburgh steelers | bill eppright | kicker | kent state row 5 : 421 | cincinnati bengals | terry story | tackle | georgia tech row 6 : 422 | boston patriots | george muse | linebacker | grambling row 7 : 423 | new orleans saints | chico kurzawski | defensive back | northwestern row 8 : 424 | detroit lions | gary steele | tight end | army row 9 : 425 | denver broncos | buster o'brien | quarterback | richmond row 10 : 426 | washington redskins | rich dobbert | defensive end | springfield (mass.) row 11 : 427 | miami dolphins | tom krallman | defensive end | xavier row 12 : 428 | green bay packers | john mack | running back | central missouri row 13 : 429 | new york giants | ken riley | linebacker | texas-arlington row 14 : 430 | houston oilers | hank autry | center | southern mississippi row 15 : 431 | chicago bears | bob long | wide receiver | texas a&m row 16 : 432 | san francisco 49ers | joe rushing | linebacker | memphis state row 17 : 433 | minnesota vikings | wendell housely | running back | texas a&m row 18 : 434 | san diego chargers | larry rentz | defensive back | florida row 19 : 435 | st. louis cardinals | george hummer | center | arizona state row 20 : 436 | cleveland browns | bob oliver | defensive end | abilene christian row 21 : 437 | los angeles rams | jim thorpe | defensive back | hofstra row 22 : 438 | kansas city chiefs | ralph jenkins | defensive back | tuskegee row 23 : 439 | dallas cowboys | bill bailey | defensive tackle | lewis & clark row 24 : 440 | oakland raiders | billy austin | tight end | arkansas am&n row 25 : 441 | baltimore colts | joe cowan | wide receiver | johns hopkins row 26 : 442 | new york jets | fred zirkie | defensive tackle | duke
table_csv/203_229.csv
1
{ "column_index": [ 4 ], "row_index": [ 17 ] }
[ "what are all the colleges?", "which college did larry rentz attend?" ]
2
florida
[ "Pick #", "NFL Team", "Player", "Position", "College" ]
which college did larry rentz attend?
[ [ "417", "Buffalo Bills", "Wayne Lineberry", "Linebacker", "East Carolina" ], [ "418", "Atlanta Falcons", "Paul Williams", "Running back", "California" ], [ "419", "Philadelphia Eagles", "Bob Haack", "Tackle", "Linfield (Ore.)" ], [ "420", "Pittsburgh Steelers", "Bill Eppright", "Kicker", "Kent State" ], [ "421", "Cincinnati Bengals", "Terry Story", "Tackle", "Georgia Tech" ], [ "422", "Boston Patriots", "George Muse", "Linebacker", "Grambling" ], [ "423", "New Orleans Saints", "Chico Kurzawski", "Defensive back", "Northwestern" ], [ "424", "Detroit Lions", "Gary Steele", "Tight end", "Army" ], [ "425", "Denver Broncos", "Buster O'Brien", "Quarterback", "Richmond" ], [ "426", "Washington Redskins", "Rich Dobbert", "Defensive end", "Springfield (Mass.)" ], [ "427", "Miami Dolphins", "Tom Krallman", "Defensive end", "Xavier" ], [ "428", "Green Bay Packers", "John Mack", "Running back", "Central Missouri" ], [ "429", "New York Giants", "Ken Riley", "Linebacker", "Texas-Arlington" ], [ "430", "Houston Oilers", "Hank Autry", "Center", "Southern Mississippi" ], [ "431", "Chicago Bears", "Bob Long", "Wide receiver", "Texas A&M" ], [ "432", "San Francisco 49ers", "Joe Rushing", "Linebacker", "Memphis State" ], [ "433", "Minnesota Vikings", "Wendell Housely", "Running back", "Texas A&M" ], [ "434", "San Diego Chargers", "Larry Rentz", "Defensive back", "Florida" ], [ "435", "St. Louis Cardinals", "George Hummer", "Center", "Arizona State" ], [ "436", "Cleveland Browns", "Bob Oliver", "Defensive end", "Abilene Christian" ], [ "437", "Los Angeles Rams", "Jim Thorpe", "Defensive back", "Hofstra" ], [ "438", "Kansas City Chiefs", "Ralph Jenkins", "Defensive back", "Tuskegee" ], [ "439", "Dallas Cowboys", "Bill Bailey", "Defensive tackle", "Lewis & Clark" ], [ "440", "Oakland Raiders", "Billy Austin", "Tight end", "Arkansas AM&N" ], [ "441", "Baltimore Colts", "Joe Cowan", "Wide receiver", "Johns Hopkins" ], [ "442", "New York Jets", "Fred Zirkie", "Defensive tackle", "Duke" ] ]
[ "Florida" ]
which college did larry rentz attend? || what are all the colleges?
nt-889
col : model | released | usage | features | storage row 1 : betsie/dottie | unknown | used for calculating odds for bookmakers | nan | nan row 2 : sadie | 1966 | sterling and decimal invoicing electronically | programming stored on soldered-through connectors on double-sided printed | nickel acoustic delay line working storage (8 words of decimal row 3 : susie | 1967 | stock updating and sales invoicing electronically | programmes (2) stored on drum, each with 1000 machine instructions. programme could | as for sadie, plus magnetic drum (6k words) row 4 : mark 1 | 1970 | sales order processing | architecture similar to the data general nova in that the memory and i/ | nan row 5 : operating system known as los developed by joe templeman in leicester office of | ferrite core memory. from plessey or fabritek and | nan | nan | nan row 6 : mark 2 | 1973 | sales order processing | totally new processor with hardware interrupt stacking, a variable cycle time | fabritek or emm ferrite core memory. introduced the row 7 : mark 3 | nan | nan | designation not used but was effectively the 3me/6me which was | nan row 8 : mark 4 | nan | sop, livestock markets, paper merchants, plumbers merchant | developed after the demise of bcl by abs computers. basically | core memory or static ram, introduced the cdc hawk 9427 row 9 : mark 5 | 1984 | sop, livestock markets, paper merchants, plumbers merchant | basically a re engineering of the 6me processor to remove redundant | initially large-format ampex ferrite core memory then static row 10 : distributor | 1986 | sop, livestock markets, paper merchants, plumbers merchant | smaller version of the mark 5 in an oversized pc style vertical cabinet | support for seven additional external lark 2 or amcodyne drives row 11 : nan | 1990(?) | sop, livestock markets, paper merchants, plumbers merchant | a single board processor was developed to replace the 3 card processor and was working | support for seven additional external lark 2 or amcodyne drives row 12 : distributor ep | 1989 | sop, livestock markets | enhanced version of the distributor | scsi disk and tape support
table_csv/204_309.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 3, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 5, 6, 7, 8, 9, 10, 11 ] }
[ "what are the release dates for the bcl molectular?" ]
0
unknown, 1966, 1967, 1970, ferrite core memory. from plessey or fabritek and, 1973, totally new processor with hardware interrupt stacking, a variable cycle time, , , 1984, 1986, 1990(?), 1989
[ "Model", "Released", "Usage", "Features", "Storage" ]
what are the release dates for the bcl molectular?
[ [ "Betsie/Dottie", "Unknown", "Used for calculating odds for bookmakers", "nan", "nan" ], [ "SADIE", "1966", "Sterling And Decimal Invoicing Electronically", "Programming stored on soldered-through connectors on double-sided printed", "Nickel acoustic delay line working storage (8 words of decimal" ], [ "SUSIE", "1967", "Stock Updating and Sales Invoicing Electronically", "Programmes (2) stored on drum, each with 1000 machine instructions. Programme could", "As for SADIE, plus magnetic drum (6k words)" ], [ "Mark 1", "1970", "Sales Order processing", "Architecture similar to the Data General NOVA in that the memory and I/", "nan" ], [ "Operating system known as LOS developed by Joe Templeman in Leicester office of", "Ferrite core memory. from Plessey or Fabritek and", "nan", "nan", "nan" ], [ "Mark 2", "1973", "Sales Order Processing", "Totally new processor with hardware interrupt stacking, a variable cycle time", "Fabritek or EMM ferrite core memory. Introduced the" ], [ "Mark 3", "nan", "nan", "Designation not used but was effectively the 3ME/6ME which was", "nan" ], [ "Mark 4", "nan", "SOP, Livestock Markets, Paper merchants, Plumbers merchant", "Developed after the demise of BCL by ABS computers. Basically", "Core Memory or static RAM, Introduced the CDC Hawk 9427" ], [ "Mark 5", "1984", "SOP, Livestock Markets, Paper merchants, Plumbers merchant", "Basically a re engineering of the 6ME processor to remove redundant", "Initially large-format Ampex ferrite core memory then static" ], [ "Distributor", "1986", "SOP, Livestock Markets, Paper merchants, Plumbers merchant", "Smaller version of the Mark 5 in an oversized PC style vertical cabinet", "Support for seven additional external Lark 2 or Amcodyne drives" ], [ "nan", "1990(?)", "SOP, Livestock Markets, Paper merchants, Plumbers merchant", "A single board processor was developed to replace the 3 card processor and was working", "Support for seven additional external Lark 2 or Amcodyne drives" ], [ "Distributor EP", "1989", "SOP, Livestock Markets", "Enhanced version of the Distributor", "SCSI disk and tape support" ] ]
[ "Unknown", "1966", "1967", "1970", "Ferrite core memory. from Plessey or Fabritek and", "1973", "Totally new processor with hardware interrupt stacking, a variable cycle time", "", "", "1984", "1986", "1990(?)", "1989" ]
what are the release dates for the bcl molectular? ||
nt-889
col : model | released | usage | features | storage row 1 : betsie/dottie | unknown | used for calculating odds for bookmakers | nan | nan row 2 : sadie | 1966 | sterling and decimal invoicing electronically | programming stored on soldered-through connectors on double-sided printed | nickel acoustic delay line working storage (8 words of decimal row 3 : susie | 1967 | stock updating and sales invoicing electronically | programmes (2) stored on drum, each with 1000 machine instructions. programme could | as for sadie, plus magnetic drum (6k words) row 4 : mark 1 | 1970 | sales order processing | architecture similar to the data general nova in that the memory and i/ | nan row 5 : operating system known as los developed by joe templeman in leicester office of | ferrite core memory. from plessey or fabritek and | nan | nan | nan row 6 : mark 2 | 1973 | sales order processing | totally new processor with hardware interrupt stacking, a variable cycle time | fabritek or emm ferrite core memory. introduced the row 7 : mark 3 | nan | nan | designation not used but was effectively the 3me/6me which was | nan row 8 : mark 4 | nan | sop, livestock markets, paper merchants, plumbers merchant | developed after the demise of bcl by abs computers. basically | core memory or static ram, introduced the cdc hawk 9427 row 9 : mark 5 | 1984 | sop, livestock markets, paper merchants, plumbers merchant | basically a re engineering of the 6me processor to remove redundant | initially large-format ampex ferrite core memory then static row 10 : distributor | 1986 | sop, livestock markets, paper merchants, plumbers merchant | smaller version of the mark 5 in an oversized pc style vertical cabinet | support for seven additional external lark 2 or amcodyne drives row 11 : nan | 1990(?) | sop, livestock markets, paper merchants, plumbers merchant | a single board processor was developed to replace the 3 card processor and was working | support for seven additional external lark 2 or amcodyne drives row 12 : distributor ep | 1989 | sop, livestock markets | enhanced version of the distributor | scsi disk and tape support
table_csv/204_309.csv
1
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 1, 2, 3, 5, 8, 9, 11 ] }
[ "what are the release dates for the bcl molectular?", "which of these has a confirmed numerical date?" ]
0
1966, 1967, 1970, 1973, 1984, 1986, 1989
[ "Model", "Released", "Usage", "Features", "Storage" ]
which of these has a confirmed numerical date?
[ [ "Betsie/Dottie", "Unknown", "Used for calculating odds for bookmakers", "nan", "nan" ], [ "SADIE", "1966", "Sterling And Decimal Invoicing Electronically", "Programming stored on soldered-through connectors on double-sided printed", "Nickel acoustic delay line working storage (8 words of decimal" ], [ "SUSIE", "1967", "Stock Updating and Sales Invoicing Electronically", "Programmes (2) stored on drum, each with 1000 machine instructions. Programme could", "As for SADIE, plus magnetic drum (6k words)" ], [ "Mark 1", "1970", "Sales Order processing", "Architecture similar to the Data General NOVA in that the memory and I/", "nan" ], [ "Operating system known as LOS developed by Joe Templeman in Leicester office of", "Ferrite core memory. from Plessey or Fabritek and", "nan", "nan", "nan" ], [ "Mark 2", "1973", "Sales Order Processing", "Totally new processor with hardware interrupt stacking, a variable cycle time", "Fabritek or EMM ferrite core memory. Introduced the" ], [ "Mark 3", "nan", "nan", "Designation not used but was effectively the 3ME/6ME which was", "nan" ], [ "Mark 4", "nan", "SOP, Livestock Markets, Paper merchants, Plumbers merchant", "Developed after the demise of BCL by ABS computers. Basically", "Core Memory or static RAM, Introduced the CDC Hawk 9427" ], [ "Mark 5", "1984", "SOP, Livestock Markets, Paper merchants, Plumbers merchant", "Basically a re engineering of the 6ME processor to remove redundant", "Initially large-format Ampex ferrite core memory then static" ], [ "Distributor", "1986", "SOP, Livestock Markets, Paper merchants, Plumbers merchant", "Smaller version of the Mark 5 in an oversized PC style vertical cabinet", "Support for seven additional external Lark 2 or Amcodyne drives" ], [ "nan", "1990(?)", "SOP, Livestock Markets, Paper merchants, Plumbers merchant", "A single board processor was developed to replace the 3 card processor and was working", "Support for seven additional external Lark 2 or Amcodyne drives" ], [ "Distributor EP", "1989", "SOP, Livestock Markets", "Enhanced version of the Distributor", "SCSI disk and tape support" ] ]
[ "1966", "1967", "1970", "1973", "1984", "1986", "1989" ]
which of these has a confirmed numerical date? || what are the release dates for the bcl molectular?
nt-889
col : model | released | usage | features | storage row 1 : betsie/dottie | unknown | used for calculating odds for bookmakers | nan | nan row 2 : sadie | 1966 | sterling and decimal invoicing electronically | programming stored on soldered-through connectors on double-sided printed | nickel acoustic delay line working storage (8 words of decimal row 3 : susie | 1967 | stock updating and sales invoicing electronically | programmes (2) stored on drum, each with 1000 machine instructions. programme could | as for sadie, plus magnetic drum (6k words) row 4 : mark 1 | 1970 | sales order processing | architecture similar to the data general nova in that the memory and i/ | nan row 5 : operating system known as los developed by joe templeman in leicester office of | ferrite core memory. from plessey or fabritek and | nan | nan | nan row 6 : mark 2 | 1973 | sales order processing | totally new processor with hardware interrupt stacking, a variable cycle time | fabritek or emm ferrite core memory. introduced the row 7 : mark 3 | nan | nan | designation not used but was effectively the 3me/6me which was | nan row 8 : mark 4 | nan | sop, livestock markets, paper merchants, plumbers merchant | developed after the demise of bcl by abs computers. basically | core memory or static ram, introduced the cdc hawk 9427 row 9 : mark 5 | 1984 | sop, livestock markets, paper merchants, plumbers merchant | basically a re engineering of the 6me processor to remove redundant | initially large-format ampex ferrite core memory then static row 10 : distributor | 1986 | sop, livestock markets, paper merchants, plumbers merchant | smaller version of the mark 5 in an oversized pc style vertical cabinet | support for seven additional external lark 2 or amcodyne drives row 11 : nan | 1990(?) | sop, livestock markets, paper merchants, plumbers merchant | a single board processor was developed to replace the 3 card processor and was working | support for seven additional external lark 2 or amcodyne drives row 12 : distributor ep | 1989 | sop, livestock markets | enhanced version of the distributor | scsi disk and tape support
table_csv/204_309.csv
2
{ "column_index": [ 1 ], "row_index": [ 11 ] }
[ "what are the release dates for the bcl molectular?", "which of these has a confirmed numerical date?", "which date is the most recent?" ]
0
1989
[ "Model", "Released", "Usage", "Features", "Storage" ]
which date is the most recent?
[ [ "Betsie/Dottie", "Unknown", "Used for calculating odds for bookmakers", "nan", "nan" ], [ "SADIE", "1966", "Sterling And Decimal Invoicing Electronically", "Programming stored on soldered-through connectors on double-sided printed", "Nickel acoustic delay line working storage (8 words of decimal" ], [ "SUSIE", "1967", "Stock Updating and Sales Invoicing Electronically", "Programmes (2) stored on drum, each with 1000 machine instructions. Programme could", "As for SADIE, plus magnetic drum (6k words)" ], [ "Mark 1", "1970", "Sales Order processing", "Architecture similar to the Data General NOVA in that the memory and I/", "nan" ], [ "Operating system known as LOS developed by Joe Templeman in Leicester office of", "Ferrite core memory. from Plessey or Fabritek and", "nan", "nan", "nan" ], [ "Mark 2", "1973", "Sales Order Processing", "Totally new processor with hardware interrupt stacking, a variable cycle time", "Fabritek or EMM ferrite core memory. Introduced the" ], [ "Mark 3", "nan", "nan", "Designation not used but was effectively the 3ME/6ME which was", "nan" ], [ "Mark 4", "nan", "SOP, Livestock Markets, Paper merchants, Plumbers merchant", "Developed after the demise of BCL by ABS computers. Basically", "Core Memory or static RAM, Introduced the CDC Hawk 9427" ], [ "Mark 5", "1984", "SOP, Livestock Markets, Paper merchants, Plumbers merchant", "Basically a re engineering of the 6ME processor to remove redundant", "Initially large-format Ampex ferrite core memory then static" ], [ "Distributor", "1986", "SOP, Livestock Markets, Paper merchants, Plumbers merchant", "Smaller version of the Mark 5 in an oversized PC style vertical cabinet", "Support for seven additional external Lark 2 or Amcodyne drives" ], [ "nan", "1990(?)", "SOP, Livestock Markets, Paper merchants, Plumbers merchant", "A single board processor was developed to replace the 3 card processor and was working", "Support for seven additional external Lark 2 or Amcodyne drives" ], [ "Distributor EP", "1989", "SOP, Livestock Markets", "Enhanced version of the Distributor", "SCSI disk and tape support" ] ]
[ "1989" ]
which date is the most recent? || which of these has a confirmed numerical date? | what are the release dates for the bcl molectular?
nt-889
col : model | released | usage | features | storage row 1 : betsie/dottie | unknown | used for calculating odds for bookmakers | nan | nan row 2 : sadie | 1966 | sterling and decimal invoicing electronically | programming stored on soldered-through connectors on double-sided printed | nickel acoustic delay line working storage (8 words of decimal row 3 : susie | 1967 | stock updating and sales invoicing electronically | programmes (2) stored on drum, each with 1000 machine instructions. programme could | as for sadie, plus magnetic drum (6k words) row 4 : mark 1 | 1970 | sales order processing | architecture similar to the data general nova in that the memory and i/ | nan row 5 : operating system known as los developed by joe templeman in leicester office of | ferrite core memory. from plessey or fabritek and | nan | nan | nan row 6 : mark 2 | 1973 | sales order processing | totally new processor with hardware interrupt stacking, a variable cycle time | fabritek or emm ferrite core memory. introduced the row 7 : mark 3 | nan | nan | designation not used but was effectively the 3me/6me which was | nan row 8 : mark 4 | nan | sop, livestock markets, paper merchants, plumbers merchant | developed after the demise of bcl by abs computers. basically | core memory or static ram, introduced the cdc hawk 9427 row 9 : mark 5 | 1984 | sop, livestock markets, paper merchants, plumbers merchant | basically a re engineering of the 6me processor to remove redundant | initially large-format ampex ferrite core memory then static row 10 : distributor | 1986 | sop, livestock markets, paper merchants, plumbers merchant | smaller version of the mark 5 in an oversized pc style vertical cabinet | support for seven additional external lark 2 or amcodyne drives row 11 : nan | 1990(?) | sop, livestock markets, paper merchants, plumbers merchant | a single board processor was developed to replace the 3 card processor and was working | support for seven additional external lark 2 or amcodyne drives row 12 : distributor ep | 1989 | sop, livestock markets | enhanced version of the distributor | scsi disk and tape support
table_csv/204_309.csv
3
{ "column_index": [ 0 ], "row_index": [ 11 ] }
[ "what are the release dates for the bcl molectular?", "which of these has a confirmed numerical date?", "which date is the most recent?", "what version was this for?" ]
0
distributor ep
[ "Model", "Released", "Usage", "Features", "Storage" ]
what version was this for?
[ [ "Betsie/Dottie", "Unknown", "Used for calculating odds for bookmakers", "nan", "nan" ], [ "SADIE", "1966", "Sterling And Decimal Invoicing Electronically", "Programming stored on soldered-through connectors on double-sided printed", "Nickel acoustic delay line working storage (8 words of decimal" ], [ "SUSIE", "1967", "Stock Updating and Sales Invoicing Electronically", "Programmes (2) stored on drum, each with 1000 machine instructions. Programme could", "As for SADIE, plus magnetic drum (6k words)" ], [ "Mark 1", "1970", "Sales Order processing", "Architecture similar to the Data General NOVA in that the memory and I/", "nan" ], [ "Operating system known as LOS developed by Joe Templeman in Leicester office of", "Ferrite core memory. from Plessey or Fabritek and", "nan", "nan", "nan" ], [ "Mark 2", "1973", "Sales Order Processing", "Totally new processor with hardware interrupt stacking, a variable cycle time", "Fabritek or EMM ferrite core memory. Introduced the" ], [ "Mark 3", "nan", "nan", "Designation not used but was effectively the 3ME/6ME which was", "nan" ], [ "Mark 4", "nan", "SOP, Livestock Markets, Paper merchants, Plumbers merchant", "Developed after the demise of BCL by ABS computers. Basically", "Core Memory or static RAM, Introduced the CDC Hawk 9427" ], [ "Mark 5", "1984", "SOP, Livestock Markets, Paper merchants, Plumbers merchant", "Basically a re engineering of the 6ME processor to remove redundant", "Initially large-format Ampex ferrite core memory then static" ], [ "Distributor", "1986", "SOP, Livestock Markets, Paper merchants, Plumbers merchant", "Smaller version of the Mark 5 in an oversized PC style vertical cabinet", "Support for seven additional external Lark 2 or Amcodyne drives" ], [ "nan", "1990(?)", "SOP, Livestock Markets, Paper merchants, Plumbers merchant", "A single board processor was developed to replace the 3 card processor and was working", "Support for seven additional external Lark 2 or Amcodyne drives" ], [ "Distributor EP", "1989", "SOP, Livestock Markets", "Enhanced version of the Distributor", "SCSI disk and tape support" ] ]
[ "Distributor EP" ]
what version was this for? || which date is the most recent? | which of these has a confirmed numerical date? | what are the release dates for the bcl molectular?
nt-889
col : model | released | usage | features | storage row 1 : betsie/dottie | unknown | used for calculating odds for bookmakers | nan | nan row 2 : sadie | 1966 | sterling and decimal invoicing electronically | programming stored on soldered-through connectors on double-sided printed | nickel acoustic delay line working storage (8 words of decimal row 3 : susie | 1967 | stock updating and sales invoicing electronically | programmes (2) stored on drum, each with 1000 machine instructions. programme could | as for sadie, plus magnetic drum (6k words) row 4 : mark 1 | 1970 | sales order processing | architecture similar to the data general nova in that the memory and i/ | nan row 5 : operating system known as los developed by joe templeman in leicester office of | ferrite core memory. from plessey or fabritek and | nan | nan | nan row 6 : mark 2 | 1973 | sales order processing | totally new processor with hardware interrupt stacking, a variable cycle time | fabritek or emm ferrite core memory. introduced the row 7 : mark 3 | nan | nan | designation not used but was effectively the 3me/6me which was | nan row 8 : mark 4 | nan | sop, livestock markets, paper merchants, plumbers merchant | developed after the demise of bcl by abs computers. basically | core memory or static ram, introduced the cdc hawk 9427 row 9 : mark 5 | 1984 | sop, livestock markets, paper merchants, plumbers merchant | basically a re engineering of the 6me processor to remove redundant | initially large-format ampex ferrite core memory then static row 10 : distributor | 1986 | sop, livestock markets, paper merchants, plumbers merchant | smaller version of the mark 5 in an oversized pc style vertical cabinet | support for seven additional external lark 2 or amcodyne drives row 11 : nan | 1990(?) | sop, livestock markets, paper merchants, plumbers merchant | a single board processor was developed to replace the 3 card processor and was working | support for seven additional external lark 2 or amcodyne drives row 12 : distributor ep | 1989 | sop, livestock markets | enhanced version of the distributor | scsi disk and tape support
table_csv/204_309.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 1, 2, 3, 5, 8, 9, 11 ] }
[ "in what (definitely) known years were bcl molecular releases?" ]
1
1966, 1967, 1970, 1973, 1984, 1986, 1989
[ "Model", "Released", "Usage", "Features", "Storage" ]
in what (definitely) known years were bcl molecular releases?
[ [ "Betsie/Dottie", "Unknown", "Used for calculating odds for bookmakers", "nan", "nan" ], [ "SADIE", "1966", "Sterling And Decimal Invoicing Electronically", "Programming stored on soldered-through connectors on double-sided printed", "Nickel acoustic delay line working storage (8 words of decimal" ], [ "SUSIE", "1967", "Stock Updating and Sales Invoicing Electronically", "Programmes (2) stored on drum, each with 1000 machine instructions. Programme could", "As for SADIE, plus magnetic drum (6k words)" ], [ "Mark 1", "1970", "Sales Order processing", "Architecture similar to the Data General NOVA in that the memory and I/", "nan" ], [ "Operating system known as LOS developed by Joe Templeman in Leicester office of", "Ferrite core memory. from Plessey or Fabritek and", "nan", "nan", "nan" ], [ "Mark 2", "1973", "Sales Order Processing", "Totally new processor with hardware interrupt stacking, a variable cycle time", "Fabritek or EMM ferrite core memory. Introduced the" ], [ "Mark 3", "nan", "nan", "Designation not used but was effectively the 3ME/6ME which was", "nan" ], [ "Mark 4", "nan", "SOP, Livestock Markets, Paper merchants, Plumbers merchant", "Developed after the demise of BCL by ABS computers. Basically", "Core Memory or static RAM, Introduced the CDC Hawk 9427" ], [ "Mark 5", "1984", "SOP, Livestock Markets, Paper merchants, Plumbers merchant", "Basically a re engineering of the 6ME processor to remove redundant", "Initially large-format Ampex ferrite core memory then static" ], [ "Distributor", "1986", "SOP, Livestock Markets, Paper merchants, Plumbers merchant", "Smaller version of the Mark 5 in an oversized PC style vertical cabinet", "Support for seven additional external Lark 2 or Amcodyne drives" ], [ "nan", "1990(?)", "SOP, Livestock Markets, Paper merchants, Plumbers merchant", "A single board processor was developed to replace the 3 card processor and was working", "Support for seven additional external Lark 2 or Amcodyne drives" ], [ "Distributor EP", "1989", "SOP, Livestock Markets", "Enhanced version of the Distributor", "SCSI disk and tape support" ] ]
[ "1966", "1967", "1970", "1973", "1984", "1986", "1989" ]
in what (definitely) known years were bcl molecular releases? ||
nt-889
col : model | released | usage | features | storage row 1 : betsie/dottie | unknown | used for calculating odds for bookmakers | nan | nan row 2 : sadie | 1966 | sterling and decimal invoicing electronically | programming stored on soldered-through connectors on double-sided printed | nickel acoustic delay line working storage (8 words of decimal row 3 : susie | 1967 | stock updating and sales invoicing electronically | programmes (2) stored on drum, each with 1000 machine instructions. programme could | as for sadie, plus magnetic drum (6k words) row 4 : mark 1 | 1970 | sales order processing | architecture similar to the data general nova in that the memory and i/ | nan row 5 : operating system known as los developed by joe templeman in leicester office of | ferrite core memory. from plessey or fabritek and | nan | nan | nan row 6 : mark 2 | 1973 | sales order processing | totally new processor with hardware interrupt stacking, a variable cycle time | fabritek or emm ferrite core memory. introduced the row 7 : mark 3 | nan | nan | designation not used but was effectively the 3me/6me which was | nan row 8 : mark 4 | nan | sop, livestock markets, paper merchants, plumbers merchant | developed after the demise of bcl by abs computers. basically | core memory or static ram, introduced the cdc hawk 9427 row 9 : mark 5 | 1984 | sop, livestock markets, paper merchants, plumbers merchant | basically a re engineering of the 6me processor to remove redundant | initially large-format ampex ferrite core memory then static row 10 : distributor | 1986 | sop, livestock markets, paper merchants, plumbers merchant | smaller version of the mark 5 in an oversized pc style vertical cabinet | support for seven additional external lark 2 or amcodyne drives row 11 : nan | 1990(?) | sop, livestock markets, paper merchants, plumbers merchant | a single board processor was developed to replace the 3 card processor and was working | support for seven additional external lark 2 or amcodyne drives row 12 : distributor ep | 1989 | sop, livestock markets | enhanced version of the distributor | scsi disk and tape support
table_csv/204_309.csv
1
{ "column_index": [ 1 ], "row_index": [ 11 ] }
[ "in what (definitely) known years were bcl molecular releases?", "which of these were the most recent?" ]
1
1989
[ "Model", "Released", "Usage", "Features", "Storage" ]
which of these were the most recent?
[ [ "Betsie/Dottie", "Unknown", "Used for calculating odds for bookmakers", "nan", "nan" ], [ "SADIE", "1966", "Sterling And Decimal Invoicing Electronically", "Programming stored on soldered-through connectors on double-sided printed", "Nickel acoustic delay line working storage (8 words of decimal" ], [ "SUSIE", "1967", "Stock Updating and Sales Invoicing Electronically", "Programmes (2) stored on drum, each with 1000 machine instructions. Programme could", "As for SADIE, plus magnetic drum (6k words)" ], [ "Mark 1", "1970", "Sales Order processing", "Architecture similar to the Data General NOVA in that the memory and I/", "nan" ], [ "Operating system known as LOS developed by Joe Templeman in Leicester office of", "Ferrite core memory. from Plessey or Fabritek and", "nan", "nan", "nan" ], [ "Mark 2", "1973", "Sales Order Processing", "Totally new processor with hardware interrupt stacking, a variable cycle time", "Fabritek or EMM ferrite core memory. Introduced the" ], [ "Mark 3", "nan", "nan", "Designation not used but was effectively the 3ME/6ME which was", "nan" ], [ "Mark 4", "nan", "SOP, Livestock Markets, Paper merchants, Plumbers merchant", "Developed after the demise of BCL by ABS computers. Basically", "Core Memory or static RAM, Introduced the CDC Hawk 9427" ], [ "Mark 5", "1984", "SOP, Livestock Markets, Paper merchants, Plumbers merchant", "Basically a re engineering of the 6ME processor to remove redundant", "Initially large-format Ampex ferrite core memory then static" ], [ "Distributor", "1986", "SOP, Livestock Markets, Paper merchants, Plumbers merchant", "Smaller version of the Mark 5 in an oversized PC style vertical cabinet", "Support for seven additional external Lark 2 or Amcodyne drives" ], [ "nan", "1990(?)", "SOP, Livestock Markets, Paper merchants, Plumbers merchant", "A single board processor was developed to replace the 3 card processor and was working", "Support for seven additional external Lark 2 or Amcodyne drives" ], [ "Distributor EP", "1989", "SOP, Livestock Markets", "Enhanced version of the Distributor", "SCSI disk and tape support" ] ]
[ "1989" ]
which of these were the most recent? || in what (definitely) known years were bcl molecular releases?
nt-889
col : model | released | usage | features | storage row 1 : betsie/dottie | unknown | used for calculating odds for bookmakers | nan | nan row 2 : sadie | 1966 | sterling and decimal invoicing electronically | programming stored on soldered-through connectors on double-sided printed | nickel acoustic delay line working storage (8 words of decimal row 3 : susie | 1967 | stock updating and sales invoicing electronically | programmes (2) stored on drum, each with 1000 machine instructions. programme could | as for sadie, plus magnetic drum (6k words) row 4 : mark 1 | 1970 | sales order processing | architecture similar to the data general nova in that the memory and i/ | nan row 5 : operating system known as los developed by joe templeman in leicester office of | ferrite core memory. from plessey or fabritek and | nan | nan | nan row 6 : mark 2 | 1973 | sales order processing | totally new processor with hardware interrupt stacking, a variable cycle time | fabritek or emm ferrite core memory. introduced the row 7 : mark 3 | nan | nan | designation not used but was effectively the 3me/6me which was | nan row 8 : mark 4 | nan | sop, livestock markets, paper merchants, plumbers merchant | developed after the demise of bcl by abs computers. basically | core memory or static ram, introduced the cdc hawk 9427 row 9 : mark 5 | 1984 | sop, livestock markets, paper merchants, plumbers merchant | basically a re engineering of the 6me processor to remove redundant | initially large-format ampex ferrite core memory then static row 10 : distributor | 1986 | sop, livestock markets, paper merchants, plumbers merchant | smaller version of the mark 5 in an oversized pc style vertical cabinet | support for seven additional external lark 2 or amcodyne drives row 11 : nan | 1990(?) | sop, livestock markets, paper merchants, plumbers merchant | a single board processor was developed to replace the 3 card processor and was working | support for seven additional external lark 2 or amcodyne drives row 12 : distributor ep | 1989 | sop, livestock markets | enhanced version of the distributor | scsi disk and tape support
table_csv/204_309.csv
2
{ "column_index": [ 0 ], "row_index": [ 11 ] }
[ "in what (definitely) known years were bcl molecular releases?", "which of these were the most recent?", "what was the model released in this year?" ]
1
distributor ep
[ "Model", "Released", "Usage", "Features", "Storage" ]
what was the model released in this year?
[ [ "Betsie/Dottie", "Unknown", "Used for calculating odds for bookmakers", "nan", "nan" ], [ "SADIE", "1966", "Sterling And Decimal Invoicing Electronically", "Programming stored on soldered-through connectors on double-sided printed", "Nickel acoustic delay line working storage (8 words of decimal" ], [ "SUSIE", "1967", "Stock Updating and Sales Invoicing Electronically", "Programmes (2) stored on drum, each with 1000 machine instructions. Programme could", "As for SADIE, plus magnetic drum (6k words)" ], [ "Mark 1", "1970", "Sales Order processing", "Architecture similar to the Data General NOVA in that the memory and I/", "nan" ], [ "Operating system known as LOS developed by Joe Templeman in Leicester office of", "Ferrite core memory. from Plessey or Fabritek and", "nan", "nan", "nan" ], [ "Mark 2", "1973", "Sales Order Processing", "Totally new processor with hardware interrupt stacking, a variable cycle time", "Fabritek or EMM ferrite core memory. Introduced the" ], [ "Mark 3", "nan", "nan", "Designation not used but was effectively the 3ME/6ME which was", "nan" ], [ "Mark 4", "nan", "SOP, Livestock Markets, Paper merchants, Plumbers merchant", "Developed after the demise of BCL by ABS computers. Basically", "Core Memory or static RAM, Introduced the CDC Hawk 9427" ], [ "Mark 5", "1984", "SOP, Livestock Markets, Paper merchants, Plumbers merchant", "Basically a re engineering of the 6ME processor to remove redundant", "Initially large-format Ampex ferrite core memory then static" ], [ "Distributor", "1986", "SOP, Livestock Markets, Paper merchants, Plumbers merchant", "Smaller version of the Mark 5 in an oversized PC style vertical cabinet", "Support for seven additional external Lark 2 or Amcodyne drives" ], [ "nan", "1990(?)", "SOP, Livestock Markets, Paper merchants, Plumbers merchant", "A single board processor was developed to replace the 3 card processor and was working", "Support for seven additional external Lark 2 or Amcodyne drives" ], [ "Distributor EP", "1989", "SOP, Livestock Markets", "Enhanced version of the Distributor", "SCSI disk and tape support" ] ]
[ "Distributor EP" ]
what was the model released in this year? || which of these were the most recent? | in what (definitely) known years were bcl molecular releases?
nt-889
col : model | released | usage | features | storage row 1 : betsie/dottie | unknown | used for calculating odds for bookmakers | nan | nan row 2 : sadie | 1966 | sterling and decimal invoicing electronically | programming stored on soldered-through connectors on double-sided printed | nickel acoustic delay line working storage (8 words of decimal row 3 : susie | 1967 | stock updating and sales invoicing electronically | programmes (2) stored on drum, each with 1000 machine instructions. programme could | as for sadie, plus magnetic drum (6k words) row 4 : mark 1 | 1970 | sales order processing | architecture similar to the data general nova in that the memory and i/ | nan row 5 : operating system known as los developed by joe templeman in leicester office of | ferrite core memory. from plessey or fabritek and | nan | nan | nan row 6 : mark 2 | 1973 | sales order processing | totally new processor with hardware interrupt stacking, a variable cycle time | fabritek or emm ferrite core memory. introduced the row 7 : mark 3 | nan | nan | designation not used but was effectively the 3me/6me which was | nan row 8 : mark 4 | nan | sop, livestock markets, paper merchants, plumbers merchant | developed after the demise of bcl by abs computers. basically | core memory or static ram, introduced the cdc hawk 9427 row 9 : mark 5 | 1984 | sop, livestock markets, paper merchants, plumbers merchant | basically a re engineering of the 6me processor to remove redundant | initially large-format ampex ferrite core memory then static row 10 : distributor | 1986 | sop, livestock markets, paper merchants, plumbers merchant | smaller version of the mark 5 in an oversized pc style vertical cabinet | support for seven additional external lark 2 or amcodyne drives row 11 : nan | 1990(?) | sop, livestock markets, paper merchants, plumbers merchant | a single board processor was developed to replace the 3 card processor and was working | support for seven additional external lark 2 or amcodyne drives row 12 : distributor ep | 1989 | sop, livestock markets | enhanced version of the distributor | scsi disk and tape support
table_csv/204_309.csv
0
{ "column_index": [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11 ] }
[ "what were all of the models?" ]
2
betsie/dottie, sadie, susie, mark 1, operating system known as los developed by joe templeman in leicester office of, mark 2, mark 3, mark 4, mark 5, distributor, , distributor ep
[ "Model", "Released", "Usage", "Features", "Storage" ]
what were all of the models?
[ [ "Betsie/Dottie", "Unknown", "Used for calculating odds for bookmakers", "nan", "nan" ], [ "SADIE", "1966", "Sterling And Decimal Invoicing Electronically", "Programming stored on soldered-through connectors on double-sided printed", "Nickel acoustic delay line working storage (8 words of decimal" ], [ "SUSIE", "1967", "Stock Updating and Sales Invoicing Electronically", "Programmes (2) stored on drum, each with 1000 machine instructions. Programme could", "As for SADIE, plus magnetic drum (6k words)" ], [ "Mark 1", "1970", "Sales Order processing", "Architecture similar to the Data General NOVA in that the memory and I/", "nan" ], [ "Operating system known as LOS developed by Joe Templeman in Leicester office of", "Ferrite core memory. from Plessey or Fabritek and", "nan", "nan", "nan" ], [ "Mark 2", "1973", "Sales Order Processing", "Totally new processor with hardware interrupt stacking, a variable cycle time", "Fabritek or EMM ferrite core memory. Introduced the" ], [ "Mark 3", "nan", "nan", "Designation not used but was effectively the 3ME/6ME which was", "nan" ], [ "Mark 4", "nan", "SOP, Livestock Markets, Paper merchants, Plumbers merchant", "Developed after the demise of BCL by ABS computers. Basically", "Core Memory or static RAM, Introduced the CDC Hawk 9427" ], [ "Mark 5", "1984", "SOP, Livestock Markets, Paper merchants, Plumbers merchant", "Basically a re engineering of the 6ME processor to remove redundant", "Initially large-format Ampex ferrite core memory then static" ], [ "Distributor", "1986", "SOP, Livestock Markets, Paper merchants, Plumbers merchant", "Smaller version of the Mark 5 in an oversized PC style vertical cabinet", "Support for seven additional external Lark 2 or Amcodyne drives" ], [ "nan", "1990(?)", "SOP, Livestock Markets, Paper merchants, Plumbers merchant", "A single board processor was developed to replace the 3 card processor and was working", "Support for seven additional external Lark 2 or Amcodyne drives" ], [ "Distributor EP", "1989", "SOP, Livestock Markets", "Enhanced version of the Distributor", "SCSI disk and tape support" ] ]
[ "Betsie/Dottie", "SADIE", "SUSIE", "Mark 1", "Operating system known as LOS developed by Joe Templeman in Leicester office of", "Mark 2", "Mark 3", "Mark 4", "Mark 5", "Distributor", "", "Distributor EP" ]
what were all of the models? ||
nt-889
col : model | released | usage | features | storage row 1 : betsie/dottie | unknown | used for calculating odds for bookmakers | nan | nan row 2 : sadie | 1966 | sterling and decimal invoicing electronically | programming stored on soldered-through connectors on double-sided printed | nickel acoustic delay line working storage (8 words of decimal row 3 : susie | 1967 | stock updating and sales invoicing electronically | programmes (2) stored on drum, each with 1000 machine instructions. programme could | as for sadie, plus magnetic drum (6k words) row 4 : mark 1 | 1970 | sales order processing | architecture similar to the data general nova in that the memory and i/ | nan row 5 : operating system known as los developed by joe templeman in leicester office of | ferrite core memory. from plessey or fabritek and | nan | nan | nan row 6 : mark 2 | 1973 | sales order processing | totally new processor with hardware interrupt stacking, a variable cycle time | fabritek or emm ferrite core memory. introduced the row 7 : mark 3 | nan | nan | designation not used but was effectively the 3me/6me which was | nan row 8 : mark 4 | nan | sop, livestock markets, paper merchants, plumbers merchant | developed after the demise of bcl by abs computers. basically | core memory or static ram, introduced the cdc hawk 9427 row 9 : mark 5 | 1984 | sop, livestock markets, paper merchants, plumbers merchant | basically a re engineering of the 6me processor to remove redundant | initially large-format ampex ferrite core memory then static row 10 : distributor | 1986 | sop, livestock markets, paper merchants, plumbers merchant | smaller version of the mark 5 in an oversized pc style vertical cabinet | support for seven additional external lark 2 or amcodyne drives row 11 : nan | 1990(?) | sop, livestock markets, paper merchants, plumbers merchant | a single board processor was developed to replace the 3 card processor and was working | support for seven additional external lark 2 or amcodyne drives row 12 : distributor ep | 1989 | sop, livestock markets | enhanced version of the distributor | scsi disk and tape support
table_csv/204_309.csv
1
{ "column_index": [ 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 ] }
[ "what were all of the models?", "and their release dates?" ]
2
unknown, 1966, 1967, 1970, ferrite core memory. from plessey or fabritek and, 1973, , , 1984, 1986, 1990(?), 1989
[ "Model", "Released", "Usage", "Features", "Storage" ]
and their release dates?
[ [ "Betsie/Dottie", "Unknown", "Used for calculating odds for bookmakers", "nan", "nan" ], [ "SADIE", "1966", "Sterling And Decimal Invoicing Electronically", "Programming stored on soldered-through connectors on double-sided printed", "Nickel acoustic delay line working storage (8 words of decimal" ], [ "SUSIE", "1967", "Stock Updating and Sales Invoicing Electronically", "Programmes (2) stored on drum, each with 1000 machine instructions. Programme could", "As for SADIE, plus magnetic drum (6k words)" ], [ "Mark 1", "1970", "Sales Order processing", "Architecture similar to the Data General NOVA in that the memory and I/", "nan" ], [ "Operating system known as LOS developed by Joe Templeman in Leicester office of", "Ferrite core memory. from Plessey or Fabritek and", "nan", "nan", "nan" ], [ "Mark 2", "1973", "Sales Order Processing", "Totally new processor with hardware interrupt stacking, a variable cycle time", "Fabritek or EMM ferrite core memory. Introduced the" ], [ "Mark 3", "nan", "nan", "Designation not used but was effectively the 3ME/6ME which was", "nan" ], [ "Mark 4", "nan", "SOP, Livestock Markets, Paper merchants, Plumbers merchant", "Developed after the demise of BCL by ABS computers. Basically", "Core Memory or static RAM, Introduced the CDC Hawk 9427" ], [ "Mark 5", "1984", "SOP, Livestock Markets, Paper merchants, Plumbers merchant", "Basically a re engineering of the 6ME processor to remove redundant", "Initially large-format Ampex ferrite core memory then static" ], [ "Distributor", "1986", "SOP, Livestock Markets, Paper merchants, Plumbers merchant", "Smaller version of the Mark 5 in an oversized PC style vertical cabinet", "Support for seven additional external Lark 2 or Amcodyne drives" ], [ "nan", "1990(?)", "SOP, Livestock Markets, Paper merchants, Plumbers merchant", "A single board processor was developed to replace the 3 card processor and was working", "Support for seven additional external Lark 2 or Amcodyne drives" ], [ "Distributor EP", "1989", "SOP, Livestock Markets", "Enhanced version of the Distributor", "SCSI disk and tape support" ] ]
[ "Unknown", "1966", "1967", "1970", "Ferrite core memory. from Plessey or Fabritek and", "1973", "", "", "1984", "1986", "1990(?)", "1989" ]
and their release dates? || what were all of the models?
nt-889
col : model | released | usage | features | storage row 1 : betsie/dottie | unknown | used for calculating odds for bookmakers | nan | nan row 2 : sadie | 1966 | sterling and decimal invoicing electronically | programming stored on soldered-through connectors on double-sided printed | nickel acoustic delay line working storage (8 words of decimal row 3 : susie | 1967 | stock updating and sales invoicing electronically | programmes (2) stored on drum, each with 1000 machine instructions. programme could | as for sadie, plus magnetic drum (6k words) row 4 : mark 1 | 1970 | sales order processing | architecture similar to the data general nova in that the memory and i/ | nan row 5 : operating system known as los developed by joe templeman in leicester office of | ferrite core memory. from plessey or fabritek and | nan | nan | nan row 6 : mark 2 | 1973 | sales order processing | totally new processor with hardware interrupt stacking, a variable cycle time | fabritek or emm ferrite core memory. introduced the row 7 : mark 3 | nan | nan | designation not used but was effectively the 3me/6me which was | nan row 8 : mark 4 | nan | sop, livestock markets, paper merchants, plumbers merchant | developed after the demise of bcl by abs computers. basically | core memory or static ram, introduced the cdc hawk 9427 row 9 : mark 5 | 1984 | sop, livestock markets, paper merchants, plumbers merchant | basically a re engineering of the 6me processor to remove redundant | initially large-format ampex ferrite core memory then static row 10 : distributor | 1986 | sop, livestock markets, paper merchants, plumbers merchant | smaller version of the mark 5 in an oversized pc style vertical cabinet | support for seven additional external lark 2 or amcodyne drives row 11 : nan | 1990(?) | sop, livestock markets, paper merchants, plumbers merchant | a single board processor was developed to replace the 3 card processor and was working | support for seven additional external lark 2 or amcodyne drives row 12 : distributor ep | 1989 | sop, livestock markets | enhanced version of the distributor | scsi disk and tape support
table_csv/204_309.csv
2
{ "column_index": [ 0 ], "row_index": [ 11 ] }
[ "what were all of the models?", "and their release dates?", "which model was released most recently?" ]
2
distributor ep
[ "Model", "Released", "Usage", "Features", "Storage" ]
which model was released most recently?
[ [ "Betsie/Dottie", "Unknown", "Used for calculating odds for bookmakers", "nan", "nan" ], [ "SADIE", "1966", "Sterling And Decimal Invoicing Electronically", "Programming stored on soldered-through connectors on double-sided printed", "Nickel acoustic delay line working storage (8 words of decimal" ], [ "SUSIE", "1967", "Stock Updating and Sales Invoicing Electronically", "Programmes (2) stored on drum, each with 1000 machine instructions. Programme could", "As for SADIE, plus magnetic drum (6k words)" ], [ "Mark 1", "1970", "Sales Order processing", "Architecture similar to the Data General NOVA in that the memory and I/", "nan" ], [ "Operating system known as LOS developed by Joe Templeman in Leicester office of", "Ferrite core memory. from Plessey or Fabritek and", "nan", "nan", "nan" ], [ "Mark 2", "1973", "Sales Order Processing", "Totally new processor with hardware interrupt stacking, a variable cycle time", "Fabritek or EMM ferrite core memory. Introduced the" ], [ "Mark 3", "nan", "nan", "Designation not used but was effectively the 3ME/6ME which was", "nan" ], [ "Mark 4", "nan", "SOP, Livestock Markets, Paper merchants, Plumbers merchant", "Developed after the demise of BCL by ABS computers. Basically", "Core Memory or static RAM, Introduced the CDC Hawk 9427" ], [ "Mark 5", "1984", "SOP, Livestock Markets, Paper merchants, Plumbers merchant", "Basically a re engineering of the 6ME processor to remove redundant", "Initially large-format Ampex ferrite core memory then static" ], [ "Distributor", "1986", "SOP, Livestock Markets, Paper merchants, Plumbers merchant", "Smaller version of the Mark 5 in an oversized PC style vertical cabinet", "Support for seven additional external Lark 2 or Amcodyne drives" ], [ "nan", "1990(?)", "SOP, Livestock Markets, Paper merchants, Plumbers merchant", "A single board processor was developed to replace the 3 card processor and was working", "Support for seven additional external Lark 2 or Amcodyne drives" ], [ "Distributor EP", "1989", "SOP, Livestock Markets", "Enhanced version of the Distributor", "SCSI disk and tape support" ] ]
[ "Distributor EP" ]
which model was released most recently? || and their release dates? | what were all of the models?
nt-888
col : season | competition | round | club | home | away | aggregate row 1 : 2003 | uefa intertoto cup | r1 | wit georgia | 1-0 | 1-2 | 2-2 row 2 : nan | nan | r2 | fk pobeda | 2-1 | 1-1 | 3-2 row 3 : nan | nan | r3 | tobol kostanay | 3-0 | 1-0 | 4-0 row 4 : nan | nan | semifinals | werder bremen | 4-0 | 1-1 | 5-1 row 5 : nan | nan | finals | fc schalke 04 | 0-2 | 0-0 | 0-2 row 6 : 2004/05 | uefa cup | q2 | zenit st. petersburg | 3-1 | 0-2 | 3-3 row 7 : 2005/06 | uefa cup | q2 | zenit st. petersburg | 2-2 | 1-1 | 3-3 row 8 : 2006/07 | uefa cup | 1 | livorno | 0-1 | 0-2 | 0-3
table_csv/204_985.csv
0
{ "column_index": [ 1 ], "row_index": [ 5 ] }
[ "did uefa cup in the finals?" ]
0
uefa cup
[ "Season", "Competition", "Round", "Club", "Home", "Away", "Aggregate" ]
did uefa cup in the finals?
[ [ "2003", "UEFA Intertoto Cup", "R1", "WIT Georgia", "1-0", "1-2", "2-2" ], [ "nan", "nan", "R2", "FK Pobeda", "2-1", "1-1", "3-2" ], [ "nan", "nan", "R3", "Tobol Kostanay", "3-0", "1-0", "4-0" ], [ "nan", "nan", "Semifinals", "Werder Bremen", "4-0", "1-1", "5-1" ], [ "nan", "nan", "Finals", "FC Schalke 04", "0-2", "0-0", "0-2" ], [ "2004/05", "UEFA Cup", "Q2", "Zenit St. Petersburg", "3-1", "0-2", "3-3" ], [ "2005/06", "UEFA Cup", "Q2", "Zenit St. Petersburg", "2-2", "1-1", "3-3" ], [ "2006/07", "UEFA Cup", "1", "Livorno", "0-1", "0-2", "0-3" ] ]
[ "UEFA Cup" ]
did uefa cup in the finals? ||
nt-888
col : season | competition | round | club | home | away | aggregate row 1 : 2003 | uefa intertoto cup | r1 | wit georgia | 1-0 | 1-2 | 2-2 row 2 : nan | nan | r2 | fk pobeda | 2-1 | 1-1 | 3-2 row 3 : nan | nan | r3 | tobol kostanay | 3-0 | 1-0 | 4-0 row 4 : nan | nan | semifinals | werder bremen | 4-0 | 1-1 | 5-1 row 5 : nan | nan | finals | fc schalke 04 | 0-2 | 0-0 | 0-2 row 6 : 2004/05 | uefa cup | q2 | zenit st. petersburg | 3-1 | 0-2 | 3-3 row 7 : 2005/06 | uefa cup | q2 | zenit st. petersburg | 2-2 | 1-1 | 3-3 row 8 : 2006/07 | uefa cup | 1 | livorno | 0-1 | 0-2 | 0-3
table_csv/204_985.csv
1
{ "column_index": [ 1 ], "row_index": [ 0 ] }
[ "did uefa cup in the finals?", "did livorno they had a play off?" ]
0
uefa intertoto cup
[ "Season", "Competition", "Round", "Club", "Home", "Away", "Aggregate" ]
did livorno they had a play off?
[ [ "2003", "UEFA Intertoto Cup", "R1", "WIT Georgia", "1-0", "1-2", "2-2" ], [ "nan", "nan", "R2", "FK Pobeda", "2-1", "1-1", "3-2" ], [ "nan", "nan", "R3", "Tobol Kostanay", "3-0", "1-0", "4-0" ], [ "nan", "nan", "Semifinals", "Werder Bremen", "4-0", "1-1", "5-1" ], [ "nan", "nan", "Finals", "FC Schalke 04", "0-2", "0-0", "0-2" ], [ "2004/05", "UEFA Cup", "Q2", "Zenit St. Petersburg", "3-1", "0-2", "3-3" ], [ "2005/06", "UEFA Cup", "Q2", "Zenit St. Petersburg", "2-2", "1-1", "3-3" ], [ "2006/07", "UEFA Cup", "1", "Livorno", "0-1", "0-2", "0-3" ] ]
[ "UEFA Intertoto Cup" ]
did livorno they had a play off? || did uefa cup in the finals?
nt-888
col : season | competition | round | club | home | away | aggregate row 1 : 2003 | uefa intertoto cup | r1 | wit georgia | 1-0 | 1-2 | 2-2 row 2 : nan | nan | r2 | fk pobeda | 2-1 | 1-1 | 3-2 row 3 : nan | nan | r3 | tobol kostanay | 3-0 | 1-0 | 4-0 row 4 : nan | nan | semifinals | werder bremen | 4-0 | 1-1 | 5-1 row 5 : nan | nan | finals | fc schalke 04 | 0-2 | 0-0 | 0-2 row 6 : 2004/05 | uefa cup | q2 | zenit st. petersburg | 3-1 | 0-2 | 3-3 row 7 : 2005/06 | uefa cup | q2 | zenit st. petersburg | 2-2 | 1-1 | 3-3 row 8 : 2006/07 | uefa cup | 1 | livorno | 0-1 | 0-2 | 0-3
table_csv/204_985.csv
2
{ "column_index": [ 3 ], "row_index": [ 7 ] }
[ "did uefa cup in the finals?", "did livorno they had a play off?", "did livorno play first?" ]
0
livorno
[ "Season", "Competition", "Round", "Club", "Home", "Away", "Aggregate" ]
did livorno play first?
[ [ "2003", "UEFA Intertoto Cup", "R1", "WIT Georgia", "1-0", "1-2", "2-2" ], [ "nan", "nan", "R2", "FK Pobeda", "2-1", "1-1", "3-2" ], [ "nan", "nan", "R3", "Tobol Kostanay", "3-0", "1-0", "4-0" ], [ "nan", "nan", "Semifinals", "Werder Bremen", "4-0", "1-1", "5-1" ], [ "nan", "nan", "Finals", "FC Schalke 04", "0-2", "0-0", "0-2" ], [ "2004/05", "UEFA Cup", "Q2", "Zenit St. Petersburg", "3-1", "0-2", "3-3" ], [ "2005/06", "UEFA Cup", "Q2", "Zenit St. Petersburg", "2-2", "1-1", "3-3" ], [ "2006/07", "UEFA Cup", "1", "Livorno", "0-1", "0-2", "0-3" ] ]
[ "Livorno" ]
did livorno play first? || did livorno they had a play off? | did uefa cup in the finals?
nt-888
col : season | competition | round | club | home | away | aggregate row 1 : 2003 | uefa intertoto cup | r1 | wit georgia | 1-0 | 1-2 | 2-2 row 2 : nan | nan | r2 | fk pobeda | 2-1 | 1-1 | 3-2 row 3 : nan | nan | r3 | tobol kostanay | 3-0 | 1-0 | 4-0 row 4 : nan | nan | semifinals | werder bremen | 4-0 | 1-1 | 5-1 row 5 : nan | nan | finals | fc schalke 04 | 0-2 | 0-0 | 0-2 row 6 : 2004/05 | uefa cup | q2 | zenit st. petersburg | 3-1 | 0-2 | 3-3 row 7 : 2005/06 | uefa cup | q2 | zenit st. petersburg | 2-2 | 1-1 | 3-3 row 8 : 2006/07 | uefa cup | 1 | livorno | 0-1 | 0-2 | 0-3
table_csv/204_985.csv
0
{ "column_index": [ 3, 3, 3, 3, 3, 3, 3, 3 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7 ] }
[ "what are all of the club names?" ]
1
wit georgia, fk pobeda, tobol kostanay, werder bremen, fc schalke 04, zenit st. petersburg, zenit st. petersburg, livorno
[ "Season", "Competition", "Round", "Club", "Home", "Away", "Aggregate" ]
what are all of the club names?
[ [ "2003", "UEFA Intertoto Cup", "R1", "WIT Georgia", "1-0", "1-2", "2-2" ], [ "nan", "nan", "R2", "FK Pobeda", "2-1", "1-1", "3-2" ], [ "nan", "nan", "R3", "Tobol Kostanay", "3-0", "1-0", "4-0" ], [ "nan", "nan", "Semifinals", "Werder Bremen", "4-0", "1-1", "5-1" ], [ "nan", "nan", "Finals", "FC Schalke 04", "0-2", "0-0", "0-2" ], [ "2004/05", "UEFA Cup", "Q2", "Zenit St. Petersburg", "3-1", "0-2", "3-3" ], [ "2005/06", "UEFA Cup", "Q2", "Zenit St. Petersburg", "2-2", "1-1", "3-3" ], [ "2006/07", "UEFA Cup", "1", "Livorno", "0-1", "0-2", "0-3" ] ]
[ "WIT Georgia", "FK Pobeda", "Tobol Kostanay", "Werder Bremen", "FC Schalke 04", "Zenit St. Petersburg", "Zenit St. Petersburg", "Livorno" ]
what are all of the club names? ||
nt-888
col : season | competition | round | club | home | away | aggregate row 1 : 2003 | uefa intertoto cup | r1 | wit georgia | 1-0 | 1-2 | 2-2 row 2 : nan | nan | r2 | fk pobeda | 2-1 | 1-1 | 3-2 row 3 : nan | nan | r3 | tobol kostanay | 3-0 | 1-0 | 4-0 row 4 : nan | nan | semifinals | werder bremen | 4-0 | 1-1 | 5-1 row 5 : nan | nan | finals | fc schalke 04 | 0-2 | 0-0 | 0-2 row 6 : 2004/05 | uefa cup | q2 | zenit st. petersburg | 3-1 | 0-2 | 3-3 row 7 : 2005/06 | uefa cup | q2 | zenit st. petersburg | 2-2 | 1-1 | 3-3 row 8 : 2006/07 | uefa cup | 1 | livorno | 0-1 | 0-2 | 0-3
table_csv/204_985.csv
1
{ "column_index": [ 4, 4, 4, 4, 4, 4, 4, 4 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7 ] }
[ "what are all of the club names?", "what were the home results?" ]
1
1-0, 2-1, 3-0, 4-0, 0-2, 3-1, 2-2, 0-1
[ "Season", "Competition", "Round", "Club", "Home", "Away", "Aggregate" ]
what were the home results?
[ [ "2003", "UEFA Intertoto Cup", "R1", "WIT Georgia", "1-0", "1-2", "2-2" ], [ "nan", "nan", "R2", "FK Pobeda", "2-1", "1-1", "3-2" ], [ "nan", "nan", "R3", "Tobol Kostanay", "3-0", "1-0", "4-0" ], [ "nan", "nan", "Semifinals", "Werder Bremen", "4-0", "1-1", "5-1" ], [ "nan", "nan", "Finals", "FC Schalke 04", "0-2", "0-0", "0-2" ], [ "2004/05", "UEFA Cup", "Q2", "Zenit St. Petersburg", "3-1", "0-2", "3-3" ], [ "2005/06", "UEFA Cup", "Q2", "Zenit St. Petersburg", "2-2", "1-1", "3-3" ], [ "2006/07", "UEFA Cup", "1", "Livorno", "0-1", "0-2", "0-3" ] ]
[ "1-0", "2-1", "3-0", "4-0", "0-2", "3-1", "2-2", "0-1" ]
what were the home results? || what are all of the club names?
nt-888
col : season | competition | round | club | home | away | aggregate row 1 : 2003 | uefa intertoto cup | r1 | wit georgia | 1-0 | 1-2 | 2-2 row 2 : nan | nan | r2 | fk pobeda | 2-1 | 1-1 | 3-2 row 3 : nan | nan | r3 | tobol kostanay | 3-0 | 1-0 | 4-0 row 4 : nan | nan | semifinals | werder bremen | 4-0 | 1-1 | 5-1 row 5 : nan | nan | finals | fc schalke 04 | 0-2 | 0-0 | 0-2 row 6 : 2004/05 | uefa cup | q2 | zenit st. petersburg | 3-1 | 0-2 | 3-3 row 7 : 2005/06 | uefa cup | q2 | zenit st. petersburg | 2-2 | 1-1 | 3-3 row 8 : 2006/07 | uefa cup | 1 | livorno | 0-1 | 0-2 | 0-3
table_csv/204_985.csv
2
{ "column_index": [ 3 ], "row_index": [ 7 ] }
[ "what are all of the club names?", "what were the home results?", "along with fc schalke 04, which other club won the home game?" ]
1
livorno
[ "Season", "Competition", "Round", "Club", "Home", "Away", "Aggregate" ]
along with fc schalke 04, which other club won the home game?
[ [ "2003", "UEFA Intertoto Cup", "R1", "WIT Georgia", "1-0", "1-2", "2-2" ], [ "nan", "nan", "R2", "FK Pobeda", "2-1", "1-1", "3-2" ], [ "nan", "nan", "R3", "Tobol Kostanay", "3-0", "1-0", "4-0" ], [ "nan", "nan", "Semifinals", "Werder Bremen", "4-0", "1-1", "5-1" ], [ "nan", "nan", "Finals", "FC Schalke 04", "0-2", "0-0", "0-2" ], [ "2004/05", "UEFA Cup", "Q2", "Zenit St. Petersburg", "3-1", "0-2", "3-3" ], [ "2005/06", "UEFA Cup", "Q2", "Zenit St. Petersburg", "2-2", "1-1", "3-3" ], [ "2006/07", "UEFA Cup", "1", "Livorno", "0-1", "0-2", "0-3" ] ]
[ "Livorno" ]
along with fc schalke 04, which other club won the home game? || what were the home results? | what are all of the club names?
nt-888
col : season | competition | round | club | home | away | aggregate row 1 : 2003 | uefa intertoto cup | r1 | wit georgia | 1-0 | 1-2 | 2-2 row 2 : nan | nan | r2 | fk pobeda | 2-1 | 1-1 | 3-2 row 3 : nan | nan | r3 | tobol kostanay | 3-0 | 1-0 | 4-0 row 4 : nan | nan | semifinals | werder bremen | 4-0 | 1-1 | 5-1 row 5 : nan | nan | finals | fc schalke 04 | 0-2 | 0-0 | 0-2 row 6 : 2004/05 | uefa cup | q2 | zenit st. petersburg | 3-1 | 0-2 | 3-3 row 7 : 2005/06 | uefa cup | q2 | zenit st. petersburg | 2-2 | 1-1 | 3-3 row 8 : 2006/07 | uefa cup | 1 | livorno | 0-1 | 0-2 | 0-3
table_csv/204_985.csv
0
{ "column_index": [ 6, 6, 6, 6, 6, 6, 6, 6 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7 ] }
[ "list all of the aggregate results" ]
2
2-2, 3-2, 4-0, 5-1, 0-2, 3-3, 3-3, 0-3
[ "Season", "Competition", "Round", "Club", "Home", "Away", "Aggregate" ]
list all of the aggregate results
[ [ "2003", "UEFA Intertoto Cup", "R1", "WIT Georgia", "1-0", "1-2", "2-2" ], [ "nan", "nan", "R2", "FK Pobeda", "2-1", "1-1", "3-2" ], [ "nan", "nan", "R3", "Tobol Kostanay", "3-0", "1-0", "4-0" ], [ "nan", "nan", "Semifinals", "Werder Bremen", "4-0", "1-1", "5-1" ], [ "nan", "nan", "Finals", "FC Schalke 04", "0-2", "0-0", "0-2" ], [ "2004/05", "UEFA Cup", "Q2", "Zenit St. Petersburg", "3-1", "0-2", "3-3" ], [ "2005/06", "UEFA Cup", "Q2", "Zenit St. Petersburg", "2-2", "1-1", "3-3" ], [ "2006/07", "UEFA Cup", "1", "Livorno", "0-1", "0-2", "0-3" ] ]
[ "2-2", "3-2", "4-0", "5-1", "0-2", "3-3", "3-3", "0-3" ]
list all of the aggregate results ||
nt-888
col : season | competition | round | club | home | away | aggregate row 1 : 2003 | uefa intertoto cup | r1 | wit georgia | 1-0 | 1-2 | 2-2 row 2 : nan | nan | r2 | fk pobeda | 2-1 | 1-1 | 3-2 row 3 : nan | nan | r3 | tobol kostanay | 3-0 | 1-0 | 4-0 row 4 : nan | nan | semifinals | werder bremen | 4-0 | 1-1 | 5-1 row 5 : nan | nan | finals | fc schalke 04 | 0-2 | 0-0 | 0-2 row 6 : 2004/05 | uefa cup | q2 | zenit st. petersburg | 3-1 | 0-2 | 3-3 row 7 : 2005/06 | uefa cup | q2 | zenit st. petersburg | 2-2 | 1-1 | 3-3 row 8 : 2006/07 | uefa cup | 1 | livorno | 0-1 | 0-2 | 0-3
table_csv/204_985.csv
1
{ "column_index": [ 6, 6 ], "row_index": [ 4, 7 ] }
[ "list all of the aggregate results", "which of these were losses?" ]
2
0-2, 0-3
[ "Season", "Competition", "Round", "Club", "Home", "Away", "Aggregate" ]
which of these were losses?
[ [ "2003", "UEFA Intertoto Cup", "R1", "WIT Georgia", "1-0", "1-2", "2-2" ], [ "nan", "nan", "R2", "FK Pobeda", "2-1", "1-1", "3-2" ], [ "nan", "nan", "R3", "Tobol Kostanay", "3-0", "1-0", "4-0" ], [ "nan", "nan", "Semifinals", "Werder Bremen", "4-0", "1-1", "5-1" ], [ "nan", "nan", "Finals", "FC Schalke 04", "0-2", "0-0", "0-2" ], [ "2004/05", "UEFA Cup", "Q2", "Zenit St. Petersburg", "3-1", "0-2", "3-3" ], [ "2005/06", "UEFA Cup", "Q2", "Zenit St. Petersburg", "2-2", "1-1", "3-3" ], [ "2006/07", "UEFA Cup", "1", "Livorno", "0-1", "0-2", "0-3" ] ]
[ "0-2", "0-3" ]
which of these were losses? || list all of the aggregate results
nt-888
col : season | competition | round | club | home | away | aggregate row 1 : 2003 | uefa intertoto cup | r1 | wit georgia | 1-0 | 1-2 | 2-2 row 2 : nan | nan | r2 | fk pobeda | 2-1 | 1-1 | 3-2 row 3 : nan | nan | r3 | tobol kostanay | 3-0 | 1-0 | 4-0 row 4 : nan | nan | semifinals | werder bremen | 4-0 | 1-1 | 5-1 row 5 : nan | nan | finals | fc schalke 04 | 0-2 | 0-0 | 0-2 row 6 : 2004/05 | uefa cup | q2 | zenit st. petersburg | 3-1 | 0-2 | 3-3 row 7 : 2005/06 | uefa cup | q2 | zenit st. petersburg | 2-2 | 1-1 | 3-3 row 8 : 2006/07 | uefa cup | 1 | livorno | 0-1 | 0-2 | 0-3
table_csv/204_985.csv
2
{ "column_index": [ 3 ], "row_index": [ 7 ] }
[ "list all of the aggregate results", "which of these were losses?", "to which team (excluding schalke) do these losses belong to?" ]
2
livorno
[ "Season", "Competition", "Round", "Club", "Home", "Away", "Aggregate" ]
to which team (excluding schalke) do these losses belong to?
[ [ "2003", "UEFA Intertoto Cup", "R1", "WIT Georgia", "1-0", "1-2", "2-2" ], [ "nan", "nan", "R2", "FK Pobeda", "2-1", "1-1", "3-2" ], [ "nan", "nan", "R3", "Tobol Kostanay", "3-0", "1-0", "4-0" ], [ "nan", "nan", "Semifinals", "Werder Bremen", "4-0", "1-1", "5-1" ], [ "nan", "nan", "Finals", "FC Schalke 04", "0-2", "0-0", "0-2" ], [ "2004/05", "UEFA Cup", "Q2", "Zenit St. Petersburg", "3-1", "0-2", "3-3" ], [ "2005/06", "UEFA Cup", "Q2", "Zenit St. Petersburg", "2-2", "1-1", "3-3" ], [ "2006/07", "UEFA Cup", "1", "Livorno", "0-1", "0-2", "0-3" ] ]
[ "Livorno" ]
to which team (excluding schalke) do these losses belong to? || which of these were losses? | list all of the aggregate results
nt-12833
col : year | name | birth date | winner | awarding age | unnamed: 5 row 1 : 1998 | nick cheung | 1967-12-02 | winner | 30 years, 352 days | nan row 2 : 1998 | chin kar lok | 1965-08-06 | winner | 33 years, 105 days | nan row 3 : 2002 | moses chan | 1971-04-16 | winner | 31 years, 217 days | nan row 4 : 2003 | raymond lam | 1979-12-08 | winner | 23 years, 346 days | youngest winner row 5 : 2004 | ron ng | 1979-09-02 | winner | 25 years, 78 days | nan row 6 : 2005 | bosco wong | 1980-12-13 | winner | 24 years, 341 days | nan row 7 : 2006 | kenneth ma | 1974-02-13 | winner | 32 years, 270 days | nan row 8 : 2007 | amigo choi | 1979-05-08 | winner | 28 years, 193 days | nan row 9 : 2008 | wong cho lam | 1980-01-09 | winner | 28 years, 311 days | nan row 10 : 2009 | ngo ka-nin | 1976-09-26 | winner | 33 years, 69 days | nan row 11 : 2010 | raymond wong | 1976-08-25 | winner | 34 years, 102 days | oldest winner row 12 : 2011 | jin au-yeung | 1982-06-04 | winner | 29 years, 184 days | nan row 13 : 2012 | oscar leung | 1979-03-26 | winner | 33 years, 266 days | nan
table_csv/204_935.csv
0
{ "column_index": [ 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 ] }
[ "what are the names of all the players?" ]
0
nick cheung, chin kar lok, moses chan, raymond lam, ron ng, bosco wong, kenneth ma, amigo choi, wong cho lam, ngo ka-nin, raymond wong, jin au-yeung, oscar leung
[ "Year", "Name", "Birth Date", "Winner", "Awarding Age", "Unnamed: 5" ]
what are the names of all the players?
[ [ "1998", "Nick Cheung", "1967-12-02", "Winner", "30 years, 352 days", "nan" ], [ "1998", "Chin Kar Lok", "1965-08-06", "Winner", "33 years, 105 days", "nan" ], [ "2002", "Moses Chan", "1971-04-16", "Winner", "31 years, 217 days", "nan" ], [ "2003", "Raymond Lam", "1979-12-08", "Winner", "23 years, 346 days", "Youngest winner" ], [ "2004", "Ron Ng", "1979-09-02", "Winner", "25 years, 78 days", "nan" ], [ "2005", "Bosco Wong", "1980-12-13", "Winner", "24 years, 341 days", "nan" ], [ "2006", "Kenneth Ma", "1974-02-13", "Winner", "32 years, 270 days", "nan" ], [ "2007", "Amigo Choi", "1979-05-08", "Winner", "28 years, 193 days", "nan" ], [ "2008", "Wong Cho Lam", "1980-01-09", "Winner", "28 years, 311 days", "nan" ], [ "2009", "Ngo Ka-nin", "1976-09-26", "Winner", "33 years, 69 days", "nan" ], [ "2010", "Raymond Wong", "1976-08-25", "Winner", "34 years, 102 days", "Oldest winner" ], [ "2011", "Jin Au-Yeung", "1982-06-04", "Winner", "29 years, 184 days", "nan" ], [ "2012", "Oscar Leung", "1979-03-26", "Winner", "33 years, 266 days", "nan" ] ]
[ "Nick Cheung", "Chin Kar Lok", "Moses Chan", "Raymond Lam", "Ron Ng", "Bosco Wong", "Kenneth Ma", "Amigo Choi", "Wong Cho Lam", "Ngo Ka-nin", "Raymond Wong", "Jin Au-Yeung", "Oscar Leung" ]
what are the names of all the players? ||
nt-12833
col : year | name | birth date | winner | awarding age | unnamed: 5 row 1 : 1998 | nick cheung | 1967-12-02 | winner | 30 years, 352 days | nan row 2 : 1998 | chin kar lok | 1965-08-06 | winner | 33 years, 105 days | nan row 3 : 2002 | moses chan | 1971-04-16 | winner | 31 years, 217 days | nan row 4 : 2003 | raymond lam | 1979-12-08 | winner | 23 years, 346 days | youngest winner row 5 : 2004 | ron ng | 1979-09-02 | winner | 25 years, 78 days | nan row 6 : 2005 | bosco wong | 1980-12-13 | winner | 24 years, 341 days | nan row 7 : 2006 | kenneth ma | 1974-02-13 | winner | 32 years, 270 days | nan row 8 : 2007 | amigo choi | 1979-05-08 | winner | 28 years, 193 days | nan row 9 : 2008 | wong cho lam | 1980-01-09 | winner | 28 years, 311 days | nan row 10 : 2009 | ngo ka-nin | 1976-09-26 | winner | 33 years, 69 days | nan row 11 : 2010 | raymond wong | 1976-08-25 | winner | 34 years, 102 days | oldest winner row 12 : 2011 | jin au-yeung | 1982-06-04 | winner | 29 years, 184 days | nan row 13 : 2012 | oscar leung | 1979-03-26 | winner | 33 years, 266 days | nan
table_csv/204_935.csv
1
{ "column_index": [ 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 ] }
[ "what are the names of all the players?", "what are the birth dates of all the players?" ]
0
1967-12-02, 1965-08-06, 1971-04-16, 1979-12-08, 1979-09-02, 1980-12-13, 1974-02-13, 1979-05-08, 1980-01-09, 1976-09-26, 1976-08-25, 1982-06-04, 1979-03-26
[ "Year", "Name", "Birth Date", "Winner", "Awarding Age", "Unnamed: 5" ]
what are the birth dates of all the players?
[ [ "1998", "Nick Cheung", "1967-12-02", "Winner", "30 years, 352 days", "nan" ], [ "1998", "Chin Kar Lok", "1965-08-06", "Winner", "33 years, 105 days", "nan" ], [ "2002", "Moses Chan", "1971-04-16", "Winner", "31 years, 217 days", "nan" ], [ "2003", "Raymond Lam", "1979-12-08", "Winner", "23 years, 346 days", "Youngest winner" ], [ "2004", "Ron Ng", "1979-09-02", "Winner", "25 years, 78 days", "nan" ], [ "2005", "Bosco Wong", "1980-12-13", "Winner", "24 years, 341 days", "nan" ], [ "2006", "Kenneth Ma", "1974-02-13", "Winner", "32 years, 270 days", "nan" ], [ "2007", "Amigo Choi", "1979-05-08", "Winner", "28 years, 193 days", "nan" ], [ "2008", "Wong Cho Lam", "1980-01-09", "Winner", "28 years, 311 days", "nan" ], [ "2009", "Ngo Ka-nin", "1976-09-26", "Winner", "33 years, 69 days", "nan" ], [ "2010", "Raymond Wong", "1976-08-25", "Winner", "34 years, 102 days", "Oldest winner" ], [ "2011", "Jin Au-Yeung", "1982-06-04", "Winner", "29 years, 184 days", "nan" ], [ "2012", "Oscar Leung", "1979-03-26", "Winner", "33 years, 266 days", "nan" ] ]
[ "1967-12-02", "1965-08-06", "1971-04-16", "1979-12-08", "1979-09-02", "1980-12-13", "1974-02-13", "1979-05-08", "1980-01-09", "1976-09-26", "1976-08-25", "1982-06-04", "1979-03-26" ]
what are the birth dates of all the players? || what are the names of all the players?
nt-12833
col : year | name | birth date | winner | awarding age | unnamed: 5 row 1 : 1998 | nick cheung | 1967-12-02 | winner | 30 years, 352 days | nan row 2 : 1998 | chin kar lok | 1965-08-06 | winner | 33 years, 105 days | nan row 3 : 2002 | moses chan | 1971-04-16 | winner | 31 years, 217 days | nan row 4 : 2003 | raymond lam | 1979-12-08 | winner | 23 years, 346 days | youngest winner row 5 : 2004 | ron ng | 1979-09-02 | winner | 25 years, 78 days | nan row 6 : 2005 | bosco wong | 1980-12-13 | winner | 24 years, 341 days | nan row 7 : 2006 | kenneth ma | 1974-02-13 | winner | 32 years, 270 days | nan row 8 : 2007 | amigo choi | 1979-05-08 | winner | 28 years, 193 days | nan row 9 : 2008 | wong cho lam | 1980-01-09 | winner | 28 years, 311 days | nan row 10 : 2009 | ngo ka-nin | 1976-09-26 | winner | 33 years, 69 days | nan row 11 : 2010 | raymond wong | 1976-08-25 | winner | 34 years, 102 days | oldest winner row 12 : 2011 | jin au-yeung | 1982-06-04 | winner | 29 years, 184 days | nan row 13 : 2012 | oscar leung | 1979-03-26 | winner | 33 years, 266 days | nan
table_csv/204_935.csv
2
{ "column_index": [ 2 ], "row_index": [ 7 ] }
[ "what are the names of all the players?", "what are the birth dates of all the players?", "what is the birth date of choi?" ]
0
1979-05-08
[ "Year", "Name", "Birth Date", "Winner", "Awarding Age", "Unnamed: 5" ]
what is the birth date of choi?
[ [ "1998", "Nick Cheung", "1967-12-02", "Winner", "30 years, 352 days", "nan" ], [ "1998", "Chin Kar Lok", "1965-08-06", "Winner", "33 years, 105 days", "nan" ], [ "2002", "Moses Chan", "1971-04-16", "Winner", "31 years, 217 days", "nan" ], [ "2003", "Raymond Lam", "1979-12-08", "Winner", "23 years, 346 days", "Youngest winner" ], [ "2004", "Ron Ng", "1979-09-02", "Winner", "25 years, 78 days", "nan" ], [ "2005", "Bosco Wong", "1980-12-13", "Winner", "24 years, 341 days", "nan" ], [ "2006", "Kenneth Ma", "1974-02-13", "Winner", "32 years, 270 days", "nan" ], [ "2007", "Amigo Choi", "1979-05-08", "Winner", "28 years, 193 days", "nan" ], [ "2008", "Wong Cho Lam", "1980-01-09", "Winner", "28 years, 311 days", "nan" ], [ "2009", "Ngo Ka-nin", "1976-09-26", "Winner", "33 years, 69 days", "nan" ], [ "2010", "Raymond Wong", "1976-08-25", "Winner", "34 years, 102 days", "Oldest winner" ], [ "2011", "Jin Au-Yeung", "1982-06-04", "Winner", "29 years, 184 days", "nan" ], [ "2012", "Oscar Leung", "1979-03-26", "Winner", "33 years, 266 days", "nan" ] ]
[ "1979-05-08" ]
what is the birth date of choi? || what are the birth dates of all the players? | what are the names of all the players?
nt-12833
col : year | name | birth date | winner | awarding age | unnamed: 5 row 1 : 1998 | nick cheung | 1967-12-02 | winner | 30 years, 352 days | nan row 2 : 1998 | chin kar lok | 1965-08-06 | winner | 33 years, 105 days | nan row 3 : 2002 | moses chan | 1971-04-16 | winner | 31 years, 217 days | nan row 4 : 2003 | raymond lam | 1979-12-08 | winner | 23 years, 346 days | youngest winner row 5 : 2004 | ron ng | 1979-09-02 | winner | 25 years, 78 days | nan row 6 : 2005 | bosco wong | 1980-12-13 | winner | 24 years, 341 days | nan row 7 : 2006 | kenneth ma | 1974-02-13 | winner | 32 years, 270 days | nan row 8 : 2007 | amigo choi | 1979-05-08 | winner | 28 years, 193 days | nan row 9 : 2008 | wong cho lam | 1980-01-09 | winner | 28 years, 311 days | nan row 10 : 2009 | ngo ka-nin | 1976-09-26 | winner | 33 years, 69 days | nan row 11 : 2010 | raymond wong | 1976-08-25 | winner | 34 years, 102 days | oldest winner row 12 : 2011 | jin au-yeung | 1982-06-04 | winner | 29 years, 184 days | nan row 13 : 2012 | oscar leung | 1979-03-26 | winner | 33 years, 266 days | nan
table_csv/204_935.csv
3
{ "column_index": [ 1 ], "row_index": [ 8 ] }
[ "what are the names of all the players?", "what are the birth dates of all the players?", "what is the birth date of choi?", "what player is the same number of years old as choi?" ]
0
wong cho lam
[ "Year", "Name", "Birth Date", "Winner", "Awarding Age", "Unnamed: 5" ]
what player is the same number of years old as choi?
[ [ "1998", "Nick Cheung", "1967-12-02", "Winner", "30 years, 352 days", "nan" ], [ "1998", "Chin Kar Lok", "1965-08-06", "Winner", "33 years, 105 days", "nan" ], [ "2002", "Moses Chan", "1971-04-16", "Winner", "31 years, 217 days", "nan" ], [ "2003", "Raymond Lam", "1979-12-08", "Winner", "23 years, 346 days", "Youngest winner" ], [ "2004", "Ron Ng", "1979-09-02", "Winner", "25 years, 78 days", "nan" ], [ "2005", "Bosco Wong", "1980-12-13", "Winner", "24 years, 341 days", "nan" ], [ "2006", "Kenneth Ma", "1974-02-13", "Winner", "32 years, 270 days", "nan" ], [ "2007", "Amigo Choi", "1979-05-08", "Winner", "28 years, 193 days", "nan" ], [ "2008", "Wong Cho Lam", "1980-01-09", "Winner", "28 years, 311 days", "nan" ], [ "2009", "Ngo Ka-nin", "1976-09-26", "Winner", "33 years, 69 days", "nan" ], [ "2010", "Raymond Wong", "1976-08-25", "Winner", "34 years, 102 days", "Oldest winner" ], [ "2011", "Jin Au-Yeung", "1982-06-04", "Winner", "29 years, 184 days", "nan" ], [ "2012", "Oscar Leung", "1979-03-26", "Winner", "33 years, 266 days", "nan" ] ]
[ "Wong Cho Lam" ]
what player is the same number of years old as choi? || what is the birth date of choi? | what are the birth dates of all the players? | what are the names of all the players?
nt-12833
col : year | name | birth date | winner | awarding age | unnamed: 5 row 1 : 1998 | nick cheung | 1967-12-02 | winner | 30 years, 352 days | nan row 2 : 1998 | chin kar lok | 1965-08-06 | winner | 33 years, 105 days | nan row 3 : 2002 | moses chan | 1971-04-16 | winner | 31 years, 217 days | nan row 4 : 2003 | raymond lam | 1979-12-08 | winner | 23 years, 346 days | youngest winner row 5 : 2004 | ron ng | 1979-09-02 | winner | 25 years, 78 days | nan row 6 : 2005 | bosco wong | 1980-12-13 | winner | 24 years, 341 days | nan row 7 : 2006 | kenneth ma | 1974-02-13 | winner | 32 years, 270 days | nan row 8 : 2007 | amigo choi | 1979-05-08 | winner | 28 years, 193 days | nan row 9 : 2008 | wong cho lam | 1980-01-09 | winner | 28 years, 311 days | nan row 10 : 2009 | ngo ka-nin | 1976-09-26 | winner | 33 years, 69 days | nan row 11 : 2010 | raymond wong | 1976-08-25 | winner | 34 years, 102 days | oldest winner row 12 : 2011 | jin au-yeung | 1982-06-04 | winner | 29 years, 184 days | nan row 13 : 2012 | oscar leung | 1979-03-26 | winner | 33 years, 266 days | nan
table_csv/204_935.csv
0
{ "column_index": [ 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 ] }
[ "who are all the players?" ]
1
nick cheung, chin kar lok, moses chan, raymond lam, ron ng, bosco wong, kenneth ma, amigo choi, wong cho lam, ngo ka-nin, raymond wong, jin au-yeung, oscar leung
[ "Year", "Name", "Birth Date", "Winner", "Awarding Age", "Unnamed: 5" ]
who are all the players?
[ [ "1998", "Nick Cheung", "1967-12-02", "Winner", "30 years, 352 days", "nan" ], [ "1998", "Chin Kar Lok", "1965-08-06", "Winner", "33 years, 105 days", "nan" ], [ "2002", "Moses Chan", "1971-04-16", "Winner", "31 years, 217 days", "nan" ], [ "2003", "Raymond Lam", "1979-12-08", "Winner", "23 years, 346 days", "Youngest winner" ], [ "2004", "Ron Ng", "1979-09-02", "Winner", "25 years, 78 days", "nan" ], [ "2005", "Bosco Wong", "1980-12-13", "Winner", "24 years, 341 days", "nan" ], [ "2006", "Kenneth Ma", "1974-02-13", "Winner", "32 years, 270 days", "nan" ], [ "2007", "Amigo Choi", "1979-05-08", "Winner", "28 years, 193 days", "nan" ], [ "2008", "Wong Cho Lam", "1980-01-09", "Winner", "28 years, 311 days", "nan" ], [ "2009", "Ngo Ka-nin", "1976-09-26", "Winner", "33 years, 69 days", "nan" ], [ "2010", "Raymond Wong", "1976-08-25", "Winner", "34 years, 102 days", "Oldest winner" ], [ "2011", "Jin Au-Yeung", "1982-06-04", "Winner", "29 years, 184 days", "nan" ], [ "2012", "Oscar Leung", "1979-03-26", "Winner", "33 years, 266 days", "nan" ] ]
[ "Nick Cheung", "Chin Kar Lok", "Moses Chan", "Raymond Lam", "Ron Ng", "Bosco Wong", "Kenneth Ma", "Amigo Choi", "Wong Cho Lam", "Ngo Ka-nin", "Raymond Wong", "Jin Au-Yeung", "Oscar Leung" ]
who are all the players? ||
nt-12833
col : year | name | birth date | winner | awarding age | unnamed: 5 row 1 : 1998 | nick cheung | 1967-12-02 | winner | 30 years, 352 days | nan row 2 : 1998 | chin kar lok | 1965-08-06 | winner | 33 years, 105 days | nan row 3 : 2002 | moses chan | 1971-04-16 | winner | 31 years, 217 days | nan row 4 : 2003 | raymond lam | 1979-12-08 | winner | 23 years, 346 days | youngest winner row 5 : 2004 | ron ng | 1979-09-02 | winner | 25 years, 78 days | nan row 6 : 2005 | bosco wong | 1980-12-13 | winner | 24 years, 341 days | nan row 7 : 2006 | kenneth ma | 1974-02-13 | winner | 32 years, 270 days | nan row 8 : 2007 | amigo choi | 1979-05-08 | winner | 28 years, 193 days | nan row 9 : 2008 | wong cho lam | 1980-01-09 | winner | 28 years, 311 days | nan row 10 : 2009 | ngo ka-nin | 1976-09-26 | winner | 33 years, 69 days | nan row 11 : 2010 | raymond wong | 1976-08-25 | winner | 34 years, 102 days | oldest winner row 12 : 2011 | jin au-yeung | 1982-06-04 | winner | 29 years, 184 days | nan row 13 : 2012 | oscar leung | 1979-03-26 | winner | 33 years, 266 days | nan
table_csv/204_935.csv
1
{ "column_index": [ 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 ] }
[ "who are all the players?", "when were they born?" ]
1
1967-12-02, 1965-08-06, 1971-04-16, 1979-12-08, 1979-09-02, 1980-12-13, 1974-02-13, 1979-05-08, 1980-01-09, 1976-09-26, 1976-08-25, 1982-06-04, 1979-03-26
[ "Year", "Name", "Birth Date", "Winner", "Awarding Age", "Unnamed: 5" ]
when were they born?
[ [ "1998", "Nick Cheung", "1967-12-02", "Winner", "30 years, 352 days", "nan" ], [ "1998", "Chin Kar Lok", "1965-08-06", "Winner", "33 years, 105 days", "nan" ], [ "2002", "Moses Chan", "1971-04-16", "Winner", "31 years, 217 days", "nan" ], [ "2003", "Raymond Lam", "1979-12-08", "Winner", "23 years, 346 days", "Youngest winner" ], [ "2004", "Ron Ng", "1979-09-02", "Winner", "25 years, 78 days", "nan" ], [ "2005", "Bosco Wong", "1980-12-13", "Winner", "24 years, 341 days", "nan" ], [ "2006", "Kenneth Ma", "1974-02-13", "Winner", "32 years, 270 days", "nan" ], [ "2007", "Amigo Choi", "1979-05-08", "Winner", "28 years, 193 days", "nan" ], [ "2008", "Wong Cho Lam", "1980-01-09", "Winner", "28 years, 311 days", "nan" ], [ "2009", "Ngo Ka-nin", "1976-09-26", "Winner", "33 years, 69 days", "nan" ], [ "2010", "Raymond Wong", "1976-08-25", "Winner", "34 years, 102 days", "Oldest winner" ], [ "2011", "Jin Au-Yeung", "1982-06-04", "Winner", "29 years, 184 days", "nan" ], [ "2012", "Oscar Leung", "1979-03-26", "Winner", "33 years, 266 days", "nan" ] ]
[ "1967-12-02", "1965-08-06", "1971-04-16", "1979-12-08", "1979-09-02", "1980-12-13", "1974-02-13", "1979-05-08", "1980-01-09", "1976-09-26", "1976-08-25", "1982-06-04", "1979-03-26" ]
when were they born? || who are all the players?
nt-12833
col : year | name | birth date | winner | awarding age | unnamed: 5 row 1 : 1998 | nick cheung | 1967-12-02 | winner | 30 years, 352 days | nan row 2 : 1998 | chin kar lok | 1965-08-06 | winner | 33 years, 105 days | nan row 3 : 2002 | moses chan | 1971-04-16 | winner | 31 years, 217 days | nan row 4 : 2003 | raymond lam | 1979-12-08 | winner | 23 years, 346 days | youngest winner row 5 : 2004 | ron ng | 1979-09-02 | winner | 25 years, 78 days | nan row 6 : 2005 | bosco wong | 1980-12-13 | winner | 24 years, 341 days | nan row 7 : 2006 | kenneth ma | 1974-02-13 | winner | 32 years, 270 days | nan row 8 : 2007 | amigo choi | 1979-05-08 | winner | 28 years, 193 days | nan row 9 : 2008 | wong cho lam | 1980-01-09 | winner | 28 years, 311 days | nan row 10 : 2009 | ngo ka-nin | 1976-09-26 | winner | 33 years, 69 days | nan row 11 : 2010 | raymond wong | 1976-08-25 | winner | 34 years, 102 days | oldest winner row 12 : 2011 | jin au-yeung | 1982-06-04 | winner | 29 years, 184 days | nan row 13 : 2012 | oscar leung | 1979-03-26 | winner | 33 years, 266 days | nan
table_csv/204_935.csv
2
{ "column_index": [ 1 ], "row_index": [ 8 ] }
[ "who are all the players?", "when were they born?", "and which player shared an age with amigo choi?" ]
1
wong cho lam
[ "Year", "Name", "Birth Date", "Winner", "Awarding Age", "Unnamed: 5" ]
and which player shared an age with amigo choi?
[ [ "1998", "Nick Cheung", "1967-12-02", "Winner", "30 years, 352 days", "nan" ], [ "1998", "Chin Kar Lok", "1965-08-06", "Winner", "33 years, 105 days", "nan" ], [ "2002", "Moses Chan", "1971-04-16", "Winner", "31 years, 217 days", "nan" ], [ "2003", "Raymond Lam", "1979-12-08", "Winner", "23 years, 346 days", "Youngest winner" ], [ "2004", "Ron Ng", "1979-09-02", "Winner", "25 years, 78 days", "nan" ], [ "2005", "Bosco Wong", "1980-12-13", "Winner", "24 years, 341 days", "nan" ], [ "2006", "Kenneth Ma", "1974-02-13", "Winner", "32 years, 270 days", "nan" ], [ "2007", "Amigo Choi", "1979-05-08", "Winner", "28 years, 193 days", "nan" ], [ "2008", "Wong Cho Lam", "1980-01-09", "Winner", "28 years, 311 days", "nan" ], [ "2009", "Ngo Ka-nin", "1976-09-26", "Winner", "33 years, 69 days", "nan" ], [ "2010", "Raymond Wong", "1976-08-25", "Winner", "34 years, 102 days", "Oldest winner" ], [ "2011", "Jin Au-Yeung", "1982-06-04", "Winner", "29 years, 184 days", "nan" ], [ "2012", "Oscar Leung", "1979-03-26", "Winner", "33 years, 266 days", "nan" ] ]
[ "Wong Cho Lam" ]
and which player shared an age with amigo choi? || when were they born? | who are all the players?
nt-12833
col : year | name | birth date | winner | awarding age | unnamed: 5 row 1 : 1998 | nick cheung | 1967-12-02 | winner | 30 years, 352 days | nan row 2 : 1998 | chin kar lok | 1965-08-06 | winner | 33 years, 105 days | nan row 3 : 2002 | moses chan | 1971-04-16 | winner | 31 years, 217 days | nan row 4 : 2003 | raymond lam | 1979-12-08 | winner | 23 years, 346 days | youngest winner row 5 : 2004 | ron ng | 1979-09-02 | winner | 25 years, 78 days | nan row 6 : 2005 | bosco wong | 1980-12-13 | winner | 24 years, 341 days | nan row 7 : 2006 | kenneth ma | 1974-02-13 | winner | 32 years, 270 days | nan row 8 : 2007 | amigo choi | 1979-05-08 | winner | 28 years, 193 days | nan row 9 : 2008 | wong cho lam | 1980-01-09 | winner | 28 years, 311 days | nan row 10 : 2009 | ngo ka-nin | 1976-09-26 | winner | 33 years, 69 days | nan row 11 : 2010 | raymond wong | 1976-08-25 | winner | 34 years, 102 days | oldest winner row 12 : 2011 | jin au-yeung | 1982-06-04 | winner | 29 years, 184 days | nan row 13 : 2012 | oscar leung | 1979-03-26 | winner | 33 years, 266 days | nan
table_csv/204_935.csv
0
{ "column_index": [ 1 ], "row_index": [ 9 ] }
[ "who is the same age as chin kar lok?" ]
2
ngo ka-nin
[ "Year", "Name", "Birth Date", "Winner", "Awarding Age", "Unnamed: 5" ]
who is the same age as chin kar lok?
[ [ "1998", "Nick Cheung", "1967-12-02", "Winner", "30 years, 352 days", "nan" ], [ "1998", "Chin Kar Lok", "1965-08-06", "Winner", "33 years, 105 days", "nan" ], [ "2002", "Moses Chan", "1971-04-16", "Winner", "31 years, 217 days", "nan" ], [ "2003", "Raymond Lam", "1979-12-08", "Winner", "23 years, 346 days", "Youngest winner" ], [ "2004", "Ron Ng", "1979-09-02", "Winner", "25 years, 78 days", "nan" ], [ "2005", "Bosco Wong", "1980-12-13", "Winner", "24 years, 341 days", "nan" ], [ "2006", "Kenneth Ma", "1974-02-13", "Winner", "32 years, 270 days", "nan" ], [ "2007", "Amigo Choi", "1979-05-08", "Winner", "28 years, 193 days", "nan" ], [ "2008", "Wong Cho Lam", "1980-01-09", "Winner", "28 years, 311 days", "nan" ], [ "2009", "Ngo Ka-nin", "1976-09-26", "Winner", "33 years, 69 days", "nan" ], [ "2010", "Raymond Wong", "1976-08-25", "Winner", "34 years, 102 days", "Oldest winner" ], [ "2011", "Jin Au-Yeung", "1982-06-04", "Winner", "29 years, 184 days", "nan" ], [ "2012", "Oscar Leung", "1979-03-26", "Winner", "33 years, 266 days", "nan" ] ]
[ "Ngo Ka-nin" ]
who is the same age as chin kar lok? ||
nt-12833
col : year | name | birth date | winner | awarding age | unnamed: 5 row 1 : 1998 | nick cheung | 1967-12-02 | winner | 30 years, 352 days | nan row 2 : 1998 | chin kar lok | 1965-08-06 | winner | 33 years, 105 days | nan row 3 : 2002 | moses chan | 1971-04-16 | winner | 31 years, 217 days | nan row 4 : 2003 | raymond lam | 1979-12-08 | winner | 23 years, 346 days | youngest winner row 5 : 2004 | ron ng | 1979-09-02 | winner | 25 years, 78 days | nan row 6 : 2005 | bosco wong | 1980-12-13 | winner | 24 years, 341 days | nan row 7 : 2006 | kenneth ma | 1974-02-13 | winner | 32 years, 270 days | nan row 8 : 2007 | amigo choi | 1979-05-08 | winner | 28 years, 193 days | nan row 9 : 2008 | wong cho lam | 1980-01-09 | winner | 28 years, 311 days | nan row 10 : 2009 | ngo ka-nin | 1976-09-26 | winner | 33 years, 69 days | nan row 11 : 2010 | raymond wong | 1976-08-25 | winner | 34 years, 102 days | oldest winner row 12 : 2011 | jin au-yeung | 1982-06-04 | winner | 29 years, 184 days | nan row 13 : 2012 | oscar leung | 1979-03-26 | winner | 33 years, 266 days | nan
table_csv/204_935.csv
1
{ "column_index": [ 1 ], "row_index": [ 0 ] }
[ "who is the same age as chin kar lok?", "who is older than wong cho lam?" ]
2
nick cheung
[ "Year", "Name", "Birth Date", "Winner", "Awarding Age", "Unnamed: 5" ]
who is older than wong cho lam?
[ [ "1998", "Nick Cheung", "1967-12-02", "Winner", "30 years, 352 days", "nan" ], [ "1998", "Chin Kar Lok", "1965-08-06", "Winner", "33 years, 105 days", "nan" ], [ "2002", "Moses Chan", "1971-04-16", "Winner", "31 years, 217 days", "nan" ], [ "2003", "Raymond Lam", "1979-12-08", "Winner", "23 years, 346 days", "Youngest winner" ], [ "2004", "Ron Ng", "1979-09-02", "Winner", "25 years, 78 days", "nan" ], [ "2005", "Bosco Wong", "1980-12-13", "Winner", "24 years, 341 days", "nan" ], [ "2006", "Kenneth Ma", "1974-02-13", "Winner", "32 years, 270 days", "nan" ], [ "2007", "Amigo Choi", "1979-05-08", "Winner", "28 years, 193 days", "nan" ], [ "2008", "Wong Cho Lam", "1980-01-09", "Winner", "28 years, 311 days", "nan" ], [ "2009", "Ngo Ka-nin", "1976-09-26", "Winner", "33 years, 69 days", "nan" ], [ "2010", "Raymond Wong", "1976-08-25", "Winner", "34 years, 102 days", "Oldest winner" ], [ "2011", "Jin Au-Yeung", "1982-06-04", "Winner", "29 years, 184 days", "nan" ], [ "2012", "Oscar Leung", "1979-03-26", "Winner", "33 years, 266 days", "nan" ] ]
[ "Nick Cheung" ]
who is older than wong cho lam? || who is the same age as chin kar lok?
nt-12833
col : year | name | birth date | winner | awarding age | unnamed: 5 row 1 : 1998 | nick cheung | 1967-12-02 | winner | 30 years, 352 days | nan row 2 : 1998 | chin kar lok | 1965-08-06 | winner | 33 years, 105 days | nan row 3 : 2002 | moses chan | 1971-04-16 | winner | 31 years, 217 days | nan row 4 : 2003 | raymond lam | 1979-12-08 | winner | 23 years, 346 days | youngest winner row 5 : 2004 | ron ng | 1979-09-02 | winner | 25 years, 78 days | nan row 6 : 2005 | bosco wong | 1980-12-13 | winner | 24 years, 341 days | nan row 7 : 2006 | kenneth ma | 1974-02-13 | winner | 32 years, 270 days | nan row 8 : 2007 | amigo choi | 1979-05-08 | winner | 28 years, 193 days | nan row 9 : 2008 | wong cho lam | 1980-01-09 | winner | 28 years, 311 days | nan row 10 : 2009 | ngo ka-nin | 1976-09-26 | winner | 33 years, 69 days | nan row 11 : 2010 | raymond wong | 1976-08-25 | winner | 34 years, 102 days | oldest winner row 12 : 2011 | jin au-yeung | 1982-06-04 | winner | 29 years, 184 days | nan row 13 : 2012 | oscar leung | 1979-03-26 | winner | 33 years, 266 days | nan
table_csv/204_935.csv
2
{ "column_index": [ 1 ], "row_index": [ 8 ] }
[ "who is the same age as chin kar lok?", "who is older than wong cho lam?", "who is the same age as choi?" ]
2
wong cho lam
[ "Year", "Name", "Birth Date", "Winner", "Awarding Age", "Unnamed: 5" ]
who is the same age as choi?
[ [ "1998", "Nick Cheung", "1967-12-02", "Winner", "30 years, 352 days", "nan" ], [ "1998", "Chin Kar Lok", "1965-08-06", "Winner", "33 years, 105 days", "nan" ], [ "2002", "Moses Chan", "1971-04-16", "Winner", "31 years, 217 days", "nan" ], [ "2003", "Raymond Lam", "1979-12-08", "Winner", "23 years, 346 days", "Youngest winner" ], [ "2004", "Ron Ng", "1979-09-02", "Winner", "25 years, 78 days", "nan" ], [ "2005", "Bosco Wong", "1980-12-13", "Winner", "24 years, 341 days", "nan" ], [ "2006", "Kenneth Ma", "1974-02-13", "Winner", "32 years, 270 days", "nan" ], [ "2007", "Amigo Choi", "1979-05-08", "Winner", "28 years, 193 days", "nan" ], [ "2008", "Wong Cho Lam", "1980-01-09", "Winner", "28 years, 311 days", "nan" ], [ "2009", "Ngo Ka-nin", "1976-09-26", "Winner", "33 years, 69 days", "nan" ], [ "2010", "Raymond Wong", "1976-08-25", "Winner", "34 years, 102 days", "Oldest winner" ], [ "2011", "Jin Au-Yeung", "1982-06-04", "Winner", "29 years, 184 days", "nan" ], [ "2012", "Oscar Leung", "1979-03-26", "Winner", "33 years, 266 days", "nan" ] ]
[ "Wong Cho Lam" ]
who is the same age as choi? || who is older than wong cho lam? | who is the same age as chin kar lok?
nt-3532
col : # | district | land area (km2) | population (2010 census) | density (persons/km2) row 1 : 1.0 | anse la raye | 30.9 | 6,247 | 210 row 2 : 2.0 | praslin | 16.0 | 2,044 | 119 row 3 : 3.0 | castries | 79.5 | 65,656 | 776 row 4 : 4.0 | choiseul | 31.3 | 6,098 | 206 row 5 : 5.0 | dennery | 69.7 | 12,599 | 182 row 6 : 6.0 | forest reserve | 78.0 | 0 | 0 row 7 : 7.0 | gros islet | 101.5 | 25,210 | 196 row 8 : 8.0 | laborie | 37.8 | 6,701 | 210 row 9 : 9.0 | micoud | 77.7 | 16,284 | 220 row 10 : 10.0 | soufriere | 50.5 | 8,472 | 144 row 11 : 11.0 | vieux fort | 43.8 | 16,284 | 371 row 12 : nan | saint lucia | 608.7 | 165,595 | 256
table_csv/203_212.csv
0
{ "column_index": [ 1, 1, 1 ], "row_index": [ 0, 1, 3 ] }
[ "which districts have a smaller land area than laborie" ]
0
anse la raye, praslin, choiseul
[ "#", "District", "Land area (km2)", "Population (2010 census)", "Density (persons/km2)" ]
which districts have a smaller land area than laborie
[ [ "1.0", "Anse la Raye", "30.9", "6,247", "210" ], [ "2.0", "Praslin", "16.0", "2,044", "119" ], [ "3.0", "Castries", "79.5", "65,656", "776" ], [ "4.0", "Choiseul", "31.3", "6,098", "206" ], [ "5.0", "Dennery", "69.7", "12,599", "182" ], [ "6.0", "Forest Reserve", "78.0", "0", "0" ], [ "7.0", "Gros Islet", "101.5", "25,210", "196" ], [ "8.0", "Laborie", "37.8", "6,701", "210" ], [ "9.0", "Micoud", "77.7", "16,284", "220" ], [ "10.0", "Soufriere", "50.5", "8,472", "144" ], [ "11.0", "Vieux Fort", "43.8", "16,284", "371" ], [ "nan", "Saint Lucia", "608.7", "165,595", "256" ] ]
[ "Anse la Raye", "Praslin", "Choiseul" ]
which districts have a smaller land area than laborie ||
nt-3532
col : # | district | land area (km2) | population (2010 census) | density (persons/km2) row 1 : 1.0 | anse la raye | 30.9 | 6,247 | 210 row 2 : 2.0 | praslin | 16.0 | 2,044 | 119 row 3 : 3.0 | castries | 79.5 | 65,656 | 776 row 4 : 4.0 | choiseul | 31.3 | 6,098 | 206 row 5 : 5.0 | dennery | 69.7 | 12,599 | 182 row 6 : 6.0 | forest reserve | 78.0 | 0 | 0 row 7 : 7.0 | gros islet | 101.5 | 25,210 | 196 row 8 : 8.0 | laborie | 37.8 | 6,701 | 210 row 9 : 9.0 | micoud | 77.7 | 16,284 | 220 row 10 : 10.0 | soufriere | 50.5 | 8,472 | 144 row 11 : 11.0 | vieux fort | 43.8 | 16,284 | 371 row 12 : nan | saint lucia | 608.7 | 165,595 | 256
table_csv/203_212.csv
1
{ "column_index": [ 1 ], "row_index": [ 0 ] }
[ "which districts have a smaller land area than laborie", "of those which has the same popluation density of laborie" ]
0
anse la raye
[ "#", "District", "Land area (km2)", "Population (2010 census)", "Density (persons/km2)" ]
of those which has the same popluation density of laborie
[ [ "1.0", "Anse la Raye", "30.9", "6,247", "210" ], [ "2.0", "Praslin", "16.0", "2,044", "119" ], [ "3.0", "Castries", "79.5", "65,656", "776" ], [ "4.0", "Choiseul", "31.3", "6,098", "206" ], [ "5.0", "Dennery", "69.7", "12,599", "182" ], [ "6.0", "Forest Reserve", "78.0", "0", "0" ], [ "7.0", "Gros Islet", "101.5", "25,210", "196" ], [ "8.0", "Laborie", "37.8", "6,701", "210" ], [ "9.0", "Micoud", "77.7", "16,284", "220" ], [ "10.0", "Soufriere", "50.5", "8,472", "144" ], [ "11.0", "Vieux Fort", "43.8", "16,284", "371" ], [ "nan", "Saint Lucia", "608.7", "165,595", "256" ] ]
[ "Anse la Raye" ]
of those which has the same popluation density of laborie || which districts have a smaller land area than laborie
nt-3532
col : # | district | land area (km2) | population (2010 census) | density (persons/km2) row 1 : 1.0 | anse la raye | 30.9 | 6,247 | 210 row 2 : 2.0 | praslin | 16.0 | 2,044 | 119 row 3 : 3.0 | castries | 79.5 | 65,656 | 776 row 4 : 4.0 | choiseul | 31.3 | 6,098 | 206 row 5 : 5.0 | dennery | 69.7 | 12,599 | 182 row 6 : 6.0 | forest reserve | 78.0 | 0 | 0 row 7 : 7.0 | gros islet | 101.5 | 25,210 | 196 row 8 : 8.0 | laborie | 37.8 | 6,701 | 210 row 9 : 9.0 | micoud | 77.7 | 16,284 | 220 row 10 : 10.0 | soufriere | 50.5 | 8,472 | 144 row 11 : 11.0 | vieux fort | 43.8 | 16,284 | 371 row 12 : nan | saint lucia | 608.7 | 165,595 | 256
table_csv/203_212.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 2, 3, 7, 8, 10, 11 ] }
[ "what districts have a population density over 100 persons/km2?" ]
1
anse la raye, castries, choiseul, laborie, micoud, vieux fort, saint lucia
[ "#", "District", "Land area (km2)", "Population (2010 census)", "Density (persons/km2)" ]
what districts have a population density over 100 persons/km2?
[ [ "1.0", "Anse la Raye", "30.9", "6,247", "210" ], [ "2.0", "Praslin", "16.0", "2,044", "119" ], [ "3.0", "Castries", "79.5", "65,656", "776" ], [ "4.0", "Choiseul", "31.3", "6,098", "206" ], [ "5.0", "Dennery", "69.7", "12,599", "182" ], [ "6.0", "Forest Reserve", "78.0", "0", "0" ], [ "7.0", "Gros Islet", "101.5", "25,210", "196" ], [ "8.0", "Laborie", "37.8", "6,701", "210" ], [ "9.0", "Micoud", "77.7", "16,284", "220" ], [ "10.0", "Soufriere", "50.5", "8,472", "144" ], [ "11.0", "Vieux Fort", "43.8", "16,284", "371" ], [ "nan", "Saint Lucia", "608.7", "165,595", "256" ] ]
[ "Anse la Raye", "Castries", "Choiseul", "Laborie", "Micoud", "Vieux Fort", "Saint Lucia" ]
what districts have a population density over 100 persons/km2? ||
nt-3532
col : # | district | land area (km2) | population (2010 census) | density (persons/km2) row 1 : 1.0 | anse la raye | 30.9 | 6,247 | 210 row 2 : 2.0 | praslin | 16.0 | 2,044 | 119 row 3 : 3.0 | castries | 79.5 | 65,656 | 776 row 4 : 4.0 | choiseul | 31.3 | 6,098 | 206 row 5 : 5.0 | dennery | 69.7 | 12,599 | 182 row 6 : 6.0 | forest reserve | 78.0 | 0 | 0 row 7 : 7.0 | gros islet | 101.5 | 25,210 | 196 row 8 : 8.0 | laborie | 37.8 | 6,701 | 210 row 9 : 9.0 | micoud | 77.7 | 16,284 | 220 row 10 : 10.0 | soufriere | 50.5 | 8,472 | 144 row 11 : 11.0 | vieux fort | 43.8 | 16,284 | 371 row 12 : nan | saint lucia | 608.7 | 165,595 | 256
table_csv/203_212.csv
1
{ "column_index": [ 1, 1, 1 ], "row_index": [ 0, 3, 7 ] }
[ "what districts have a population density over 100 persons/km2?", "of these districts which ones have a population in the 2010 census under 10,000?" ]
1
anse la raye, choiseul, laborie
[ "#", "District", "Land area (km2)", "Population (2010 census)", "Density (persons/km2)" ]
of these districts which ones have a population in the 2010 census under 10,000?
[ [ "1.0", "Anse la Raye", "30.9", "6,247", "210" ], [ "2.0", "Praslin", "16.0", "2,044", "119" ], [ "3.0", "Castries", "79.5", "65,656", "776" ], [ "4.0", "Choiseul", "31.3", "6,098", "206" ], [ "5.0", "Dennery", "69.7", "12,599", "182" ], [ "6.0", "Forest Reserve", "78.0", "0", "0" ], [ "7.0", "Gros Islet", "101.5", "25,210", "196" ], [ "8.0", "Laborie", "37.8", "6,701", "210" ], [ "9.0", "Micoud", "77.7", "16,284", "220" ], [ "10.0", "Soufriere", "50.5", "8,472", "144" ], [ "11.0", "Vieux Fort", "43.8", "16,284", "371" ], [ "nan", "Saint Lucia", "608.7", "165,595", "256" ] ]
[ "Anse la Raye", "Choiseul", "Laborie" ]
of these districts which ones have a population in the 2010 census under 10,000? || what districts have a population density over 100 persons/km2?
nt-3532
col : # | district | land area (km2) | population (2010 census) | density (persons/km2) row 1 : 1.0 | anse la raye | 30.9 | 6,247 | 210 row 2 : 2.0 | praslin | 16.0 | 2,044 | 119 row 3 : 3.0 | castries | 79.5 | 65,656 | 776 row 4 : 4.0 | choiseul | 31.3 | 6,098 | 206 row 5 : 5.0 | dennery | 69.7 | 12,599 | 182 row 6 : 6.0 | forest reserve | 78.0 | 0 | 0 row 7 : 7.0 | gros islet | 101.5 | 25,210 | 196 row 8 : 8.0 | laborie | 37.8 | 6,701 | 210 row 9 : 9.0 | micoud | 77.7 | 16,284 | 220 row 10 : 10.0 | soufriere | 50.5 | 8,472 | 144 row 11 : 11.0 | vieux fort | 43.8 | 16,284 | 371 row 12 : nan | saint lucia | 608.7 | 165,595 | 256
table_csv/203_212.csv
2
{ "column_index": [ 1 ], "row_index": [ 0 ] }
[ "what districts have a population density over 100 persons/km2?", "of these districts which ones have a population in the 2010 census under 10,000?", "which of these has the smallest land area?" ]
1
anse la raye
[ "#", "District", "Land area (km2)", "Population (2010 census)", "Density (persons/km2)" ]
which of these has the smallest land area?
[ [ "1.0", "Anse la Raye", "30.9", "6,247", "210" ], [ "2.0", "Praslin", "16.0", "2,044", "119" ], [ "3.0", "Castries", "79.5", "65,656", "776" ], [ "4.0", "Choiseul", "31.3", "6,098", "206" ], [ "5.0", "Dennery", "69.7", "12,599", "182" ], [ "6.0", "Forest Reserve", "78.0", "0", "0" ], [ "7.0", "Gros Islet", "101.5", "25,210", "196" ], [ "8.0", "Laborie", "37.8", "6,701", "210" ], [ "9.0", "Micoud", "77.7", "16,284", "220" ], [ "10.0", "Soufriere", "50.5", "8,472", "144" ], [ "11.0", "Vieux Fort", "43.8", "16,284", "371" ], [ "nan", "Saint Lucia", "608.7", "165,595", "256" ] ]
[ "Anse la Raye" ]
which of these has the smallest land area? || of these districts which ones have a population in the 2010 census under 10,000? | what districts have a population density over 100 persons/km2?
nt-3532
col : # | district | land area (km2) | population (2010 census) | density (persons/km2) row 1 : 1.0 | anse la raye | 30.9 | 6,247 | 210 row 2 : 2.0 | praslin | 16.0 | 2,044 | 119 row 3 : 3.0 | castries | 79.5 | 65,656 | 776 row 4 : 4.0 | choiseul | 31.3 | 6,098 | 206 row 5 : 5.0 | dennery | 69.7 | 12,599 | 182 row 6 : 6.0 | forest reserve | 78.0 | 0 | 0 row 7 : 7.0 | gros islet | 101.5 | 25,210 | 196 row 8 : 8.0 | laborie | 37.8 | 6,701 | 210 row 9 : 9.0 | micoud | 77.7 | 16,284 | 220 row 10 : 10.0 | soufriere | 50.5 | 8,472 | 144 row 11 : 11.0 | vieux fort | 43.8 | 16,284 | 371 row 12 : nan | saint lucia | 608.7 | 165,595 | 256
table_csv/203_212.csv
0
{ "column_index": [ 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 3, 7, 10 ] }
[ "which areas have a land area of less than 50 square kilometers? (km2)" ]
2
anse la raye, praslin, choiseul, laborie, vieux fort
[ "#", "District", "Land area (km2)", "Population (2010 census)", "Density (persons/km2)" ]
which areas have a land area of less than 50 square kilometers? (km2)
[ [ "1.0", "Anse la Raye", "30.9", "6,247", "210" ], [ "2.0", "Praslin", "16.0", "2,044", "119" ], [ "3.0", "Castries", "79.5", "65,656", "776" ], [ "4.0", "Choiseul", "31.3", "6,098", "206" ], [ "5.0", "Dennery", "69.7", "12,599", "182" ], [ "6.0", "Forest Reserve", "78.0", "0", "0" ], [ "7.0", "Gros Islet", "101.5", "25,210", "196" ], [ "8.0", "Laborie", "37.8", "6,701", "210" ], [ "9.0", "Micoud", "77.7", "16,284", "220" ], [ "10.0", "Soufriere", "50.5", "8,472", "144" ], [ "11.0", "Vieux Fort", "43.8", "16,284", "371" ], [ "nan", "Saint Lucia", "608.7", "165,595", "256" ] ]
[ "Anse la Raye", "Praslin", "Choiseul", "Laborie", "Vieux Fort" ]
which areas have a land area of less than 50 square kilometers? (km2) ||
nt-3532
col : # | district | land area (km2) | population (2010 census) | density (persons/km2) row 1 : 1.0 | anse la raye | 30.9 | 6,247 | 210 row 2 : 2.0 | praslin | 16.0 | 2,044 | 119 row 3 : 3.0 | castries | 79.5 | 65,656 | 776 row 4 : 4.0 | choiseul | 31.3 | 6,098 | 206 row 5 : 5.0 | dennery | 69.7 | 12,599 | 182 row 6 : 6.0 | forest reserve | 78.0 | 0 | 0 row 7 : 7.0 | gros islet | 101.5 | 25,210 | 196 row 8 : 8.0 | laborie | 37.8 | 6,701 | 210 row 9 : 9.0 | micoud | 77.7 | 16,284 | 220 row 10 : 10.0 | soufriere | 50.5 | 8,472 | 144 row 11 : 11.0 | vieux fort | 43.8 | 16,284 | 371 row 12 : nan | saint lucia | 608.7 | 165,595 | 256
table_csv/203_212.csv
1
{ "column_index": [ 1, 1, 1, 1 ], "row_index": [ 0, 1, 3, 7 ] }
[ "which areas have a land area of less than 50 square kilometers? (km2)", "of these areas, which of them have less than 10000 people?" ]
2
anse la raye, praslin, choiseul, laborie
[ "#", "District", "Land area (km2)", "Population (2010 census)", "Density (persons/km2)" ]
of these areas, which of them have less than 10000 people?
[ [ "1.0", "Anse la Raye", "30.9", "6,247", "210" ], [ "2.0", "Praslin", "16.0", "2,044", "119" ], [ "3.0", "Castries", "79.5", "65,656", "776" ], [ "4.0", "Choiseul", "31.3", "6,098", "206" ], [ "5.0", "Dennery", "69.7", "12,599", "182" ], [ "6.0", "Forest Reserve", "78.0", "0", "0" ], [ "7.0", "Gros Islet", "101.5", "25,210", "196" ], [ "8.0", "Laborie", "37.8", "6,701", "210" ], [ "9.0", "Micoud", "77.7", "16,284", "220" ], [ "10.0", "Soufriere", "50.5", "8,472", "144" ], [ "11.0", "Vieux Fort", "43.8", "16,284", "371" ], [ "nan", "Saint Lucia", "608.7", "165,595", "256" ] ]
[ "Anse la Raye", "Praslin", "Choiseul", "Laborie" ]
of these areas, which of them have less than 10000 people? || which areas have a land area of less than 50 square kilometers? (km2)
nt-3532
col : # | district | land area (km2) | population (2010 census) | density (persons/km2) row 1 : 1.0 | anse la raye | 30.9 | 6,247 | 210 row 2 : 2.0 | praslin | 16.0 | 2,044 | 119 row 3 : 3.0 | castries | 79.5 | 65,656 | 776 row 4 : 4.0 | choiseul | 31.3 | 6,098 | 206 row 5 : 5.0 | dennery | 69.7 | 12,599 | 182 row 6 : 6.0 | forest reserve | 78.0 | 0 | 0 row 7 : 7.0 | gros islet | 101.5 | 25,210 | 196 row 8 : 8.0 | laborie | 37.8 | 6,701 | 210 row 9 : 9.0 | micoud | 77.7 | 16,284 | 220 row 10 : 10.0 | soufriere | 50.5 | 8,472 | 144 row 11 : 11.0 | vieux fort | 43.8 | 16,284 | 371 row 12 : nan | saint lucia | 608.7 | 165,595 | 256
table_csv/203_212.csv
2
{ "column_index": [ 1, 1, 1 ], "row_index": [ 0, 3, 7 ] }
[ "which areas have a land area of less than 50 square kilometers? (km2)", "of these areas, which of them have less than 10000 people?", "which of the remaining areas has a density population of greater than 200 persons per square kilometer?" ]
2
anse la raye, choiseul, laborie
[ "#", "District", "Land area (km2)", "Population (2010 census)", "Density (persons/km2)" ]
which of the remaining areas has a density population of greater than 200 persons per square kilometer?
[ [ "1.0", "Anse la Raye", "30.9", "6,247", "210" ], [ "2.0", "Praslin", "16.0", "2,044", "119" ], [ "3.0", "Castries", "79.5", "65,656", "776" ], [ "4.0", "Choiseul", "31.3", "6,098", "206" ], [ "5.0", "Dennery", "69.7", "12,599", "182" ], [ "6.0", "Forest Reserve", "78.0", "0", "0" ], [ "7.0", "Gros Islet", "101.5", "25,210", "196" ], [ "8.0", "Laborie", "37.8", "6,701", "210" ], [ "9.0", "Micoud", "77.7", "16,284", "220" ], [ "10.0", "Soufriere", "50.5", "8,472", "144" ], [ "11.0", "Vieux Fort", "43.8", "16,284", "371" ], [ "nan", "Saint Lucia", "608.7", "165,595", "256" ] ]
[ "Anse la Raye", "Choiseul", "Laborie" ]
which of the remaining areas has a density population of greater than 200 persons per square kilometer? || of these areas, which of them have less than 10000 people? | which areas have a land area of less than 50 square kilometers? (km2)
nt-3532
col : # | district | land area (km2) | population (2010 census) | density (persons/km2) row 1 : 1.0 | anse la raye | 30.9 | 6,247 | 210 row 2 : 2.0 | praslin | 16.0 | 2,044 | 119 row 3 : 3.0 | castries | 79.5 | 65,656 | 776 row 4 : 4.0 | choiseul | 31.3 | 6,098 | 206 row 5 : 5.0 | dennery | 69.7 | 12,599 | 182 row 6 : 6.0 | forest reserve | 78.0 | 0 | 0 row 7 : 7.0 | gros islet | 101.5 | 25,210 | 196 row 8 : 8.0 | laborie | 37.8 | 6,701 | 210 row 9 : 9.0 | micoud | 77.7 | 16,284 | 220 row 10 : 10.0 | soufriere | 50.5 | 8,472 | 144 row 11 : 11.0 | vieux fort | 43.8 | 16,284 | 371 row 12 : nan | saint lucia | 608.7 | 165,595 | 256
table_csv/203_212.csv
3
{ "column_index": [ 1 ], "row_index": [ 0 ] }
[ "which areas have a land area of less than 50 square kilometers? (km2)", "of these areas, which of them have less than 10000 people?", "which of the remaining areas has a density population of greater than 200 persons per square kilometer?", "which of these areas has the smallest total land area?" ]
2
anse la raye
[ "#", "District", "Land area (km2)", "Population (2010 census)", "Density (persons/km2)" ]
which of these areas has the smallest total land area?
[ [ "1.0", "Anse la Raye", "30.9", "6,247", "210" ], [ "2.0", "Praslin", "16.0", "2,044", "119" ], [ "3.0", "Castries", "79.5", "65,656", "776" ], [ "4.0", "Choiseul", "31.3", "6,098", "206" ], [ "5.0", "Dennery", "69.7", "12,599", "182" ], [ "6.0", "Forest Reserve", "78.0", "0", "0" ], [ "7.0", "Gros Islet", "101.5", "25,210", "196" ], [ "8.0", "Laborie", "37.8", "6,701", "210" ], [ "9.0", "Micoud", "77.7", "16,284", "220" ], [ "10.0", "Soufriere", "50.5", "8,472", "144" ], [ "11.0", "Vieux Fort", "43.8", "16,284", "371" ], [ "nan", "Saint Lucia", "608.7", "165,595", "256" ] ]
[ "Anse la Raye" ]
which of these areas has the smallest total land area? || which of the remaining areas has a density population of greater than 200 persons per square kilometer? | of these areas, which of them have less than 10000 people? | which areas have a land area of less than 50 square kilometers? (km2)
nt-3538
col : device | type | iops | interface | notes row 1 : simple slc ssd | ssd | ~400 iops[citation needed] | sata 3 gbit/s | nan row 2 : intel x25-m g2 (mlc) | ssd | ~8,600 iops | sata 3 gbit/s | intel's data sheet claims 6,600/8,600 iops ( row 3 : intel x25-e (slc) | ssd | ~5,000 iops | sata 3 gbit/s | intel's data sheet claims 3,300 iops and 35,000 i row 4 : g.skill phoenix pro | ssd | ~20,000 iops | sata 3 gbit/s | sandforce-1200 based ssd drives with enhanced firmware, states up row 5 : ocz vertex 3 | ssd | up to 60,000 iops | sata 6 gbit/s | random write 4 kb (aligned) row 6 : corsair force series gt | ssd | up to 85,000 iops | sata 6 gbit/s | 240 gb drive, 555 mb/s sequential read row 7 : ocz vertex 4 | ssd | up to 120,000 iops | sata 6 gbit/s | 256 gb drive, 560 mb/s sequential read row 8 : texas memory systems ramsan-20 | ssd | 120,000+ random read/write iops | pcie | includes ram cache row 9 : fusion-io iodrive | ssd | 140,000 read iops, 135,000 write iops | pcie | nan row 10 : virident systems tachion | ssd | 320,000 sustained read iops using 4kb blocks and 200,000 | pcie | nan row 11 : ocz revodrive 3 x2 | ssd | 200,000 random write 4k iops | pcie | nan row 12 : fusion-io iodrive duo | ssd | 250,000+ iops | pcie | nan row 13 : violin memory violin 3200 | ssd | 250,000+ random read/write iops | pcie /fc/infiniband/iscsi | flash memory array row 14 : whiptail, accela | ssd | 250,000/200,000+ write/read iops | fibre channel, iscsi, infiniband/srp | flash based storage array row 15 : ddrdrive x1, | ssd | 300,000+ (512b random read iops) and | pcie | nan row 16 : solidfire sf3010/sf6010 | ssd | 250,000 4kb read/write iops | iscsi | flash based storage array (5ru) row 17 : texas memory systems ramsan-720 appliance | ssd | 500,000 optimal read, 250,000 optimal write 4kb | fc / infiniband | nan row 18 : ocz single superscale z-drive r4 pci | ssd | up to 500,000 iops | pcie | nan row 19 : whiptail, invicta | ssd | 650,000/550,000+ read/write iops | fibre channel, iscsi, infiniband/srp | flash based storage array row 20 : violin memory violin 6000 | 3ru flash memory array | 1,000,000+ random read/write iops | /fc/infiniband/10gb(iscsi) | nan row 21 : texas memory systems ramsan-630 appliance | ssd | 1,000,000+ 4kb random read/write iops | fc / infiniband | nan row 22 : fusion-io iodrive octal (single pc | ssd | 1,180,000+ random read/write iops | pcie | nan row 23 : ocz 2x superscale z-drive r4 pc | ssd | up to 1,200,000 iops | pcie | nan row 24 : texas memory systems ramsan-70 | ssd | 1,200,000 random read/write iops | pcie | includes ram cache
table_csv/204_152.csv
0
{ "column_index": [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26 ] }
[ "which devices are listed?" ]
0
simple slc ssd, intel x25-m g2 (mlc), intel x25-e (slc), g.skill phoenix pro, ocz vertex 3, corsair force series gt, ocz vertex 4, texas memory systems ramsan-20, fusion-io iodrive, virident systems tachion, ocz revodrive 3 x2, fusion-io iodrive duo, violin memory violin 3200, whiptail, accela, ddrdrive x1,, solidfire sf3010/sf6010, texas memory systems ramsan-720 appliance, ocz single superscale z-drive r4 pci, whiptail, invicta, violin memory violin 6000, texas memory systems ramsan-630 appliance, fusion-io iodrive octal (single pc, ocz 2x superscale z-drive r4 pc, texas memory systems ramsan-70, kaminario k2, netapp fas6240 cluster, fusion-io iodrive2
[ "Device", "Type", "IOPS", "Interface", "Notes" ]
which devices are listed?
[ [ "Simple SLC SSD", "SSD", "~400 IOPS[citation needed]", "SATA 3 Gbit/s", "nan" ], [ "Intel X25-M G2 (MLC)", "SSD", "~8,600 IOPS", "SATA 3 Gbit/s", "Intel's data sheet claims 6,600/8,600 IOPS (" ], [ "Intel X25-E (SLC)", "SSD", "~5,000 IOPS", "SATA 3 Gbit/s", "Intel's data sheet claims 3,300 IOPS and 35,000 I" ], [ "G.Skill Phoenix Pro", "SSD", "~20,000 IOPS", "SATA 3 Gbit/s", "SandForce-1200 based SSD drives with enhanced firmware, states up" ], [ "OCZ Vertex 3", "SSD", "Up to 60,000 IOPS", "SATA 6 Gbit/s", "Random Write 4 KB (Aligned)" ], [ "Corsair Force Series GT", "SSD", "Up to 85,000 IOPS", "SATA 6 Gbit/s", "240 GB Drive, 555 MB/s sequential read" ], [ "OCZ Vertex 4", "SSD", "Up to 120,000 IOPS", "SATA 6 Gbit/s", "256 GB Drive, 560 MB/s sequential read" ], [ "Texas Memory Systems RamSan-20", "SSD", "120,000+ Random Read/Write IOPS", "PCIe", "Includes RAM cache" ], [ "Fusion-io ioDrive", "SSD", "140,000 Read IOPS, 135,000 Write IOPS", "PCIe", "nan" ], [ "Virident Systems tachIOn", "SSD", "320,000 sustained READ IOPS using 4KB blocks and 200,000", "PCIe", "nan" ], [ "OCZ RevoDrive 3 X2", "SSD", "200,000 Random Write 4K IOPS", "PCIe", "nan" ], [ "Fusion-io ioDrive Duo", "SSD", "250,000+ IOPS", "PCIe", "nan" ], [ "Violin Memory Violin 3200", "SSD", "250,000+ Random Read/Write IOPS", "PCIe /FC/Infiniband/iSCSI", "Flash Memory Array" ], [ "WHIPTAIL, ACCELA", "SSD", "250,000/200,000+ Write/Read IOPS", "Fibre Channel, iSCSI, Infiniband/SRP", "Flash Based Storage Array" ], [ "DDRdrive X1,", "SSD", "300,000+ (512B Random Read IOPS) and", "PCIe", "nan" ], [ "SolidFire SF3010/SF6010", "SSD", "250,000 4KB Read/Write IOPS", "iSCSI", "Flash Based Storage Array (5RU)" ], [ "Texas Memory Systems RamSan-720 Appliance", "SSD", "500,000 Optimal Read, 250,000 Optimal Write 4KB", "FC / InfiniBand", "nan" ], [ "OCZ Single SuperScale Z-Drive R4 PCI", "SSD", "Up to 500,000 IOPS", "PCIe", "nan" ], [ "WHIPTAIL, INVICTA", "SSD", "650,000/550,000+ Read/Write IOPS", "Fibre Channel, iSCSI, Infiniband/SRP", "Flash Based Storage Array" ], [ "Violin Memory Violin 6000", "3RU Flash Memory Array", "1,000,000+ Random Read/Write IOPS", "/FC/Infiniband/10Gb(iSCSI)", "nan" ], [ "Texas Memory Systems RamSan-630 Appliance", "SSD", "1,000,000+ 4KB Random Read/Write IOPS", "FC / InfiniBand", "nan" ], [ "Fusion-io ioDrive Octal (single PC", "SSD", "1,180,000+ Random Read/Write IOPS", "PCIe", "nan" ], [ "OCZ 2x SuperScale Z-Drive R4 PC", "SSD", "Up to 1,200,000 IOPS", "PCIe", "nan" ], [ "Texas Memory Systems RamSan-70", "SSD", "1,200,000 Random Read/Write IOPS", "PCIe", "Includes RAM cache" ] ]
[ "Simple SLC SSD", "Intel X25-M G2 (MLC)", "Intel X25-E (SLC)", "G.Skill Phoenix Pro", "OCZ Vertex 3", "Corsair Force Series GT", "OCZ Vertex 4", "Texas Memory Systems RamSan-20", "Fusion-io ioDrive", "Virident Systems tachIOn", "OCZ RevoDrive 3 X2", "Fusion-io ioDrive Duo", "Violin Memory Violin 3200", "WHIPTAIL, ACCELA", "DDRdrive X1,", "SolidFire SF3010/SF6010", "Texas Memory Systems RamSan-720 Appliance", "OCZ Single SuperScale Z-Drive R4 PCI", "WHIPTAIL, INVICTA", "Violin Memory Violin 6000", "Texas Memory Systems RamSan-630 Appliance", "Fusion-io ioDrive Octal (single PC", "OCZ 2x SuperScale Z-Drive R4 PC", "Texas Memory Systems RamSan-70", "Kaminario K2", "NetApp FAS6240 cluster", "Fusion-io ioDrive2" ]
which devices are listed? ||
nt-3538
col : device | type | iops | interface | notes row 1 : simple slc ssd | ssd | ~400 iops[citation needed] | sata 3 gbit/s | nan row 2 : intel x25-m g2 (mlc) | ssd | ~8,600 iops | sata 3 gbit/s | intel's data sheet claims 6,600/8,600 iops ( row 3 : intel x25-e (slc) | ssd | ~5,000 iops | sata 3 gbit/s | intel's data sheet claims 3,300 iops and 35,000 i row 4 : g.skill phoenix pro | ssd | ~20,000 iops | sata 3 gbit/s | sandforce-1200 based ssd drives with enhanced firmware, states up row 5 : ocz vertex 3 | ssd | up to 60,000 iops | sata 6 gbit/s | random write 4 kb (aligned) row 6 : corsair force series gt | ssd | up to 85,000 iops | sata 6 gbit/s | 240 gb drive, 555 mb/s sequential read row 7 : ocz vertex 4 | ssd | up to 120,000 iops | sata 6 gbit/s | 256 gb drive, 560 mb/s sequential read row 8 : texas memory systems ramsan-20 | ssd | 120,000+ random read/write iops | pcie | includes ram cache row 9 : fusion-io iodrive | ssd | 140,000 read iops, 135,000 write iops | pcie | nan row 10 : ocz revodrive 3 x2 | ssd | 200,000 random write 4k iops | pcie | nan row 11 : fusion-io iodrive duo | ssd | 250,000+ iops | pcie | nan row 12 : violin memory violin 3200 | ssd | 250,000+ random read/write iops | pcie /fc/infiniband/iscsi | flash memory array row 13 : whiptail, accela | ssd | 250,000/200,000+ write/read iops | fibre channel, iscsi, infiniband/srp | flash based storage array row 14 : ddrdrive x1, | ssd | 300,000+ (512b random read iops) and | pcie | nan row 15 : solidfire sf3010/sf6010 | ssd | 250,000 4kb read/write iops | iscsi | flash based storage array (5ru) row 16 : texas memory systems ramsan-720 appliance | ssd | 500,000 optimal read, 250,000 optimal write 4kb | fc / infiniband | nan row 17 : ocz single superscale z-drive r4 pci | ssd | up to 500,000 iops | pcie | nan row 18 : whiptail, invicta | ssd | 650,000/550,000+ read/write iops | fibre channel, iscsi, infiniband/srp | flash based storage array row 19 : violin memory violin 6000 | 3ru flash memory array | 1,000,000+ random read/write iops | /fc/infiniband/10gb(iscsi) | nan row 20 : texas memory systems ramsan-630 appliance | ssd | 1,000,000+ 4kb random read/write iops | fc / infiniband | nan row 21 : fusion-io iodrive octal (single pc | ssd | 1,180,000+ random read/write iops | pcie | nan row 22 : ocz 2x superscale z-drive r4 pc | ssd | up to 1,200,000 iops | pcie | nan row 23 : texas memory systems ramsan-70 | ssd | 1,200,000 random read/write iops | pcie | includes ram cache row 24 : kaminario k2 | flash/dram/hybrid ssd | up to 1,200,000 iops spc-1 iops with the | fc | nan
table_csv/204_152.csv
1
{ "column_index": [ 0, 0, 0, 0 ], "row_index": [ 12, 13, 15, 18 ] }
[ "which devices are listed?", "of those, which mention flash in the notes?" ]
0
violin memory violin 3200, whiptail, accela, solidfire sf3010/sf6010, whiptail, invicta
[ "Device", "Type", "IOPS", "Interface", "Notes" ]
of those, which mention flash in the notes?
[ [ "Simple SLC SSD", "SSD", "~400 IOPS[citation needed]", "SATA 3 Gbit/s", "nan" ], [ "Intel X25-M G2 (MLC)", "SSD", "~8,600 IOPS", "SATA 3 Gbit/s", "Intel's data sheet claims 6,600/8,600 IOPS (" ], [ "Intel X25-E (SLC)", "SSD", "~5,000 IOPS", "SATA 3 Gbit/s", "Intel's data sheet claims 3,300 IOPS and 35,000 I" ], [ "G.Skill Phoenix Pro", "SSD", "~20,000 IOPS", "SATA 3 Gbit/s", "SandForce-1200 based SSD drives with enhanced firmware, states up" ], [ "OCZ Vertex 3", "SSD", "Up to 60,000 IOPS", "SATA 6 Gbit/s", "Random Write 4 KB (Aligned)" ], [ "Corsair Force Series GT", "SSD", "Up to 85,000 IOPS", "SATA 6 Gbit/s", "240 GB Drive, 555 MB/s sequential read" ], [ "OCZ Vertex 4", "SSD", "Up to 120,000 IOPS", "SATA 6 Gbit/s", "256 GB Drive, 560 MB/s sequential read" ], [ "Texas Memory Systems RamSan-20", "SSD", "120,000+ Random Read/Write IOPS", "PCIe", "Includes RAM cache" ], [ "Fusion-io ioDrive", "SSD", "140,000 Read IOPS, 135,000 Write IOPS", "PCIe", "nan" ], [ "OCZ RevoDrive 3 X2", "SSD", "200,000 Random Write 4K IOPS", "PCIe", "nan" ], [ "Fusion-io ioDrive Duo", "SSD", "250,000+ IOPS", "PCIe", "nan" ], [ "Violin Memory Violin 3200", "SSD", "250,000+ Random Read/Write IOPS", "PCIe /FC/Infiniband/iSCSI", "Flash Memory Array" ], [ "WHIPTAIL, ACCELA", "SSD", "250,000/200,000+ Write/Read IOPS", "Fibre Channel, iSCSI, Infiniband/SRP", "Flash Based Storage Array" ], [ "DDRdrive X1,", "SSD", "300,000+ (512B Random Read IOPS) and", "PCIe", "nan" ], [ "SolidFire SF3010/SF6010", "SSD", "250,000 4KB Read/Write IOPS", "iSCSI", "Flash Based Storage Array (5RU)" ], [ "Texas Memory Systems RamSan-720 Appliance", "SSD", "500,000 Optimal Read, 250,000 Optimal Write 4KB", "FC / InfiniBand", "nan" ], [ "OCZ Single SuperScale Z-Drive R4 PCI", "SSD", "Up to 500,000 IOPS", "PCIe", "nan" ], [ "WHIPTAIL, INVICTA", "SSD", "650,000/550,000+ Read/Write IOPS", "Fibre Channel, iSCSI, Infiniband/SRP", "Flash Based Storage Array" ], [ "Violin Memory Violin 6000", "3RU Flash Memory Array", "1,000,000+ Random Read/Write IOPS", "/FC/Infiniband/10Gb(iSCSI)", "nan" ], [ "Texas Memory Systems RamSan-630 Appliance", "SSD", "1,000,000+ 4KB Random Read/Write IOPS", "FC / InfiniBand", "nan" ], [ "Fusion-io ioDrive Octal (single PC", "SSD", "1,180,000+ Random Read/Write IOPS", "PCIe", "nan" ], [ "OCZ 2x SuperScale Z-Drive R4 PC", "SSD", "Up to 1,200,000 IOPS", "PCIe", "nan" ], [ "Texas Memory Systems RamSan-70", "SSD", "1,200,000 Random Read/Write IOPS", "PCIe", "Includes RAM cache" ], [ "Kaminario K2", "Flash/DRAM/Hybrid SSD", "Up to 1,200,000 IOPS SPC-1 IOPS with the", "FC", "nan" ] ]
[ "Violin Memory Violin 3200", "WHIPTAIL, ACCELA", "SolidFire SF3010/SF6010", "WHIPTAIL, INVICTA" ]
of those, which mention flash in the notes? || which devices are listed?
nt-3538
col : device | type | iops | interface | notes row 1 : simple slc ssd | ssd | ~400 iops[citation needed] | sata 3 gbit/s | nan row 2 : intel x25-m g2 (mlc) | ssd | ~8,600 iops | sata 3 gbit/s | intel's data sheet claims 6,600/8,600 iops ( row 3 : intel x25-e (slc) | ssd | ~5,000 iops | sata 3 gbit/s | intel's data sheet claims 3,300 iops and 35,000 i row 4 : g.skill phoenix pro | ssd | ~20,000 iops | sata 3 gbit/s | sandforce-1200 based ssd drives with enhanced firmware, states up row 5 : ocz vertex 3 | ssd | up to 60,000 iops | sata 6 gbit/s | random write 4 kb (aligned) row 6 : ocz vertex 4 | ssd | up to 120,000 iops | sata 6 gbit/s | 256 gb drive, 560 mb/s sequential read row 7 : texas memory systems ramsan-20 | ssd | 120,000+ random read/write iops | pcie | includes ram cache row 8 : fusion-io iodrive | ssd | 140,000 read iops, 135,000 write iops | pcie | nan row 9 : virident systems tachion | ssd | 320,000 sustained read iops using 4kb blocks and 200,000 | pcie | nan row 10 : ocz revodrive 3 x2 | ssd | 200,000 random write 4k iops | pcie | nan row 11 : fusion-io iodrive duo | ssd | 250,000+ iops | pcie | nan row 12 : violin memory violin 3200 | ssd | 250,000+ random read/write iops | pcie /fc/infiniband/iscsi | flash memory array row 13 : whiptail, accela | ssd | 250,000/200,000+ write/read iops | fibre channel, iscsi, infiniband/srp | flash based storage array row 14 : ddrdrive x1, | ssd | 300,000+ (512b random read iops) and | pcie | nan row 15 : solidfire sf3010/sf6010 | ssd | 250,000 4kb read/write iops | iscsi | flash based storage array (5ru) row 16 : texas memory systems ramsan-720 appliance | ssd | 500,000 optimal read, 250,000 optimal write 4kb | fc / infiniband | nan row 17 : ocz single superscale z-drive r4 pci | ssd | up to 500,000 iops | pcie | nan row 18 : whiptail, invicta | ssd | 650,000/550,000+ read/write iops | fibre channel, iscsi, infiniband/srp | flash based storage array row 19 : violin memory violin 6000 | 3ru flash memory array | 1,000,000+ random read/write iops | /fc/infiniband/10gb(iscsi) | nan row 20 : fusion-io iodrive octal (single pc | ssd | 1,180,000+ random read/write iops | pcie | nan row 21 : texas memory systems ramsan-70 | ssd | 1,200,000 random read/write iops | pcie | includes ram cache row 22 : kaminario k2 | flash/dram/hybrid ssd | up to 1,200,000 iops spc-1 iops with the | fc | nan row 23 : netapp fas6240 cluster | flash/disk | 1,261,145 specsfs2008 nfsv | nfs, cifs, fc, fcoe, i | specsfs2008 is the latest version of the standard performance evaluation
table_csv/204_152.csv
2
{ "column_index": [ 0 ], "row_index": [ 12 ] }
[ "which devices are listed?", "of those, which mention flash in the notes?", "which of those specifically mention flash memory array?" ]
0
violin memory violin 3200
[ "Device", "Type", "IOPS", "Interface", "Notes" ]
which of those specifically mention flash memory array?
[ [ "Simple SLC SSD", "SSD", "~400 IOPS[citation needed]", "SATA 3 Gbit/s", "nan" ], [ "Intel X25-M G2 (MLC)", "SSD", "~8,600 IOPS", "SATA 3 Gbit/s", "Intel's data sheet claims 6,600/8,600 IOPS (" ], [ "Intel X25-E (SLC)", "SSD", "~5,000 IOPS", "SATA 3 Gbit/s", "Intel's data sheet claims 3,300 IOPS and 35,000 I" ], [ "G.Skill Phoenix Pro", "SSD", "~20,000 IOPS", "SATA 3 Gbit/s", "SandForce-1200 based SSD drives with enhanced firmware, states up" ], [ "OCZ Vertex 3", "SSD", "Up to 60,000 IOPS", "SATA 6 Gbit/s", "Random Write 4 KB (Aligned)" ], [ "OCZ Vertex 4", "SSD", "Up to 120,000 IOPS", "SATA 6 Gbit/s", "256 GB Drive, 560 MB/s sequential read" ], [ "Texas Memory Systems RamSan-20", "SSD", "120,000+ Random Read/Write IOPS", "PCIe", "Includes RAM cache" ], [ "Fusion-io ioDrive", "SSD", "140,000 Read IOPS, 135,000 Write IOPS", "PCIe", "nan" ], [ "Virident Systems tachIOn", "SSD", "320,000 sustained READ IOPS using 4KB blocks and 200,000", "PCIe", "nan" ], [ "OCZ RevoDrive 3 X2", "SSD", "200,000 Random Write 4K IOPS", "PCIe", "nan" ], [ "Fusion-io ioDrive Duo", "SSD", "250,000+ IOPS", "PCIe", "nan" ], [ "Violin Memory Violin 3200", "SSD", "250,000+ Random Read/Write IOPS", "PCIe /FC/Infiniband/iSCSI", "Flash Memory Array" ], [ "WHIPTAIL, ACCELA", "SSD", "250,000/200,000+ Write/Read IOPS", "Fibre Channel, iSCSI, Infiniband/SRP", "Flash Based Storage Array" ], [ "DDRdrive X1,", "SSD", "300,000+ (512B Random Read IOPS) and", "PCIe", "nan" ], [ "SolidFire SF3010/SF6010", "SSD", "250,000 4KB Read/Write IOPS", "iSCSI", "Flash Based Storage Array (5RU)" ], [ "Texas Memory Systems RamSan-720 Appliance", "SSD", "500,000 Optimal Read, 250,000 Optimal Write 4KB", "FC / InfiniBand", "nan" ], [ "OCZ Single SuperScale Z-Drive R4 PCI", "SSD", "Up to 500,000 IOPS", "PCIe", "nan" ], [ "WHIPTAIL, INVICTA", "SSD", "650,000/550,000+ Read/Write IOPS", "Fibre Channel, iSCSI, Infiniband/SRP", "Flash Based Storage Array" ], [ "Violin Memory Violin 6000", "3RU Flash Memory Array", "1,000,000+ Random Read/Write IOPS", "/FC/Infiniband/10Gb(iSCSI)", "nan" ], [ "Fusion-io ioDrive Octal (single PC", "SSD", "1,180,000+ Random Read/Write IOPS", "PCIe", "nan" ], [ "Texas Memory Systems RamSan-70", "SSD", "1,200,000 Random Read/Write IOPS", "PCIe", "Includes RAM cache" ], [ "Kaminario K2", "Flash/DRAM/Hybrid SSD", "Up to 1,200,000 IOPS SPC-1 IOPS with the", "FC", "nan" ], [ "NetApp FAS6240 cluster", "Flash/Disk", "1,261,145 SPECsfs2008 nfsv", "NFS, CIFS, FC, FCoE, i", "SPECsfs2008 is the latest version of the Standard Performance Evaluation" ] ]
[ "Violin Memory Violin 3200" ]
which of those specifically mention flash memory array? || of those, which mention flash in the notes? | which devices are listed?
nt-3538
col : device | type | iops | interface | notes row 1 : simple slc ssd | ssd | ~400 iops[citation needed] | sata 3 gbit/s | nan row 2 : intel x25-m g2 (mlc) | ssd | ~8,600 iops | sata 3 gbit/s | intel's data sheet claims 6,600/8,600 iops ( row 3 : g.skill phoenix pro | ssd | ~20,000 iops | sata 3 gbit/s | sandforce-1200 based ssd drives with enhanced firmware, states up row 4 : ocz vertex 3 | ssd | up to 60,000 iops | sata 6 gbit/s | random write 4 kb (aligned) row 5 : corsair force series gt | ssd | up to 85,000 iops | sata 6 gbit/s | 240 gb drive, 555 mb/s sequential read row 6 : ocz vertex 4 | ssd | up to 120,000 iops | sata 6 gbit/s | 256 gb drive, 560 mb/s sequential read row 7 : texas memory systems ramsan-20 | ssd | 120,000+ random read/write iops | pcie | includes ram cache row 8 : fusion-io iodrive | ssd | 140,000 read iops, 135,000 write iops | pcie | nan row 9 : virident systems tachion | ssd | 320,000 sustained read iops using 4kb blocks and 200,000 | pcie | nan row 10 : ocz revodrive 3 x2 | ssd | 200,000 random write 4k iops | pcie | nan row 11 : fusion-io iodrive duo | ssd | 250,000+ iops | pcie | nan row 12 : violin memory violin 3200 | ssd | 250,000+ random read/write iops | pcie /fc/infiniband/iscsi | flash memory array row 13 : whiptail, accela | ssd | 250,000/200,000+ write/read iops | fibre channel, iscsi, infiniband/srp | flash based storage array row 14 : ddrdrive x1, | ssd | 300,000+ (512b random read iops) and | pcie | nan row 15 : solidfire sf3010/sf6010 | ssd | 250,000 4kb read/write iops | iscsi | flash based storage array (5ru) row 16 : texas memory systems ramsan-720 appliance | ssd | 500,000 optimal read, 250,000 optimal write 4kb | fc / infiniband | nan row 17 : ocz single superscale z-drive r4 pci | ssd | up to 500,000 iops | pcie | nan row 18 : whiptail, invicta | ssd | 650,000/550,000+ read/write iops | fibre channel, iscsi, infiniband/srp | flash based storage array row 19 : violin memory violin 6000 | 3ru flash memory array | 1,000,000+ random read/write iops | /fc/infiniband/10gb(iscsi) | nan row 20 : texas memory systems ramsan-630 appliance | ssd | 1,000,000+ 4kb random read/write iops | fc / infiniband | nan row 21 : fusion-io iodrive octal (single pc | ssd | 1,180,000+ random read/write iops | pcie | nan row 22 : ocz 2x superscale z-drive r4 pc | ssd | up to 1,200,000 iops | pcie | nan row 23 : texas memory systems ramsan-70 | ssd | 1,200,000 random read/write iops | pcie | includes ram cache row 24 : kaminario k2 | flash/dram/hybrid ssd | up to 1,200,000 iops spc-1 iops with the | fc | nan
table_csv/204_152.csv
0
{ "column_index": [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], "row_index": [ 7, 8, 9, 10, 11, 12, 14, 17, 19, 21, 22, 23, 26 ] }
[ "what devices are pcie compatible?" ]
1
texas memory systems ramsan-20, fusion-io iodrive, virident systems tachion, ocz revodrive 3 x2, fusion-io iodrive duo, violin memory violin 3200, ddrdrive x1,, ocz single superscale z-drive r4 pci, violin memory violin 6000, fusion-io iodrive octal (single pc, ocz 2x superscale z-drive r4 pc, texas memory systems ramsan-70, fusion-io iodrive2
[ "Device", "Type", "IOPS", "Interface", "Notes" ]
what devices are pcie compatible?
[ [ "Simple SLC SSD", "SSD", "~400 IOPS[citation needed]", "SATA 3 Gbit/s", "nan" ], [ "Intel X25-M G2 (MLC)", "SSD", "~8,600 IOPS", "SATA 3 Gbit/s", "Intel's data sheet claims 6,600/8,600 IOPS (" ], [ "G.Skill Phoenix Pro", "SSD", "~20,000 IOPS", "SATA 3 Gbit/s", "SandForce-1200 based SSD drives with enhanced firmware, states up" ], [ "OCZ Vertex 3", "SSD", "Up to 60,000 IOPS", "SATA 6 Gbit/s", "Random Write 4 KB (Aligned)" ], [ "Corsair Force Series GT", "SSD", "Up to 85,000 IOPS", "SATA 6 Gbit/s", "240 GB Drive, 555 MB/s sequential read" ], [ "OCZ Vertex 4", "SSD", "Up to 120,000 IOPS", "SATA 6 Gbit/s", "256 GB Drive, 560 MB/s sequential read" ], [ "Texas Memory Systems RamSan-20", "SSD", "120,000+ Random Read/Write IOPS", "PCIe", "Includes RAM cache" ], [ "Fusion-io ioDrive", "SSD", "140,000 Read IOPS, 135,000 Write IOPS", "PCIe", "nan" ], [ "Virident Systems tachIOn", "SSD", "320,000 sustained READ IOPS using 4KB blocks and 200,000", "PCIe", "nan" ], [ "OCZ RevoDrive 3 X2", "SSD", "200,000 Random Write 4K IOPS", "PCIe", "nan" ], [ "Fusion-io ioDrive Duo", "SSD", "250,000+ IOPS", "PCIe", "nan" ], [ "Violin Memory Violin 3200", "SSD", "250,000+ Random Read/Write IOPS", "PCIe /FC/Infiniband/iSCSI", "Flash Memory Array" ], [ "WHIPTAIL, ACCELA", "SSD", "250,000/200,000+ Write/Read IOPS", "Fibre Channel, iSCSI, Infiniband/SRP", "Flash Based Storage Array" ], [ "DDRdrive X1,", "SSD", "300,000+ (512B Random Read IOPS) and", "PCIe", "nan" ], [ "SolidFire SF3010/SF6010", "SSD", "250,000 4KB Read/Write IOPS", "iSCSI", "Flash Based Storage Array (5RU)" ], [ "Texas Memory Systems RamSan-720 Appliance", "SSD", "500,000 Optimal Read, 250,000 Optimal Write 4KB", "FC / InfiniBand", "nan" ], [ "OCZ Single SuperScale Z-Drive R4 PCI", "SSD", "Up to 500,000 IOPS", "PCIe", "nan" ], [ "WHIPTAIL, INVICTA", "SSD", "650,000/550,000+ Read/Write IOPS", "Fibre Channel, iSCSI, Infiniband/SRP", "Flash Based Storage Array" ], [ "Violin Memory Violin 6000", "3RU Flash Memory Array", "1,000,000+ Random Read/Write IOPS", "/FC/Infiniband/10Gb(iSCSI)", "nan" ], [ "Texas Memory Systems RamSan-630 Appliance", "SSD", "1,000,000+ 4KB Random Read/Write IOPS", "FC / InfiniBand", "nan" ], [ "Fusion-io ioDrive Octal (single PC", "SSD", "1,180,000+ Random Read/Write IOPS", "PCIe", "nan" ], [ "OCZ 2x SuperScale Z-Drive R4 PC", "SSD", "Up to 1,200,000 IOPS", "PCIe", "nan" ], [ "Texas Memory Systems RamSan-70", "SSD", "1,200,000 Random Read/Write IOPS", "PCIe", "Includes RAM cache" ], [ "Kaminario K2", "Flash/DRAM/Hybrid SSD", "Up to 1,200,000 IOPS SPC-1 IOPS with the", "FC", "nan" ] ]
[ "Texas Memory Systems RamSan-20", "Fusion-io ioDrive", "Virident Systems tachIOn", "OCZ RevoDrive 3 X2", "Fusion-io ioDrive Duo", "Violin Memory Violin 3200", "DDRdrive X1,", "OCZ Single SuperScale Z-Drive R4 PCI", "Violin Memory Violin 6000", "Fusion-io ioDrive Octal (single PC", "OCZ 2x SuperScale Z-Drive R4 PC", "Texas Memory Systems RamSan-70", "Fusion-io ioDrive2" ]
what devices are pcie compatible? ||
nt-3538
col : device | type | iops | interface | notes row 1 : intel x25-m g2 (mlc) | ssd | ~8,600 iops | sata 3 gbit/s | intel's data sheet claims 6,600/8,600 iops ( row 2 : g.skill phoenix pro | ssd | ~20,000 iops | sata 3 gbit/s | sandforce-1200 based ssd drives with enhanced firmware, states up row 3 : ocz vertex 3 | ssd | up to 60,000 iops | sata 6 gbit/s | random write 4 kb (aligned) row 4 : corsair force series gt | ssd | up to 85,000 iops | sata 6 gbit/s | 240 gb drive, 555 mb/s sequential read row 5 : ocz vertex 4 | ssd | up to 120,000 iops | sata 6 gbit/s | 256 gb drive, 560 mb/s sequential read row 6 : texas memory systems ramsan-20 | ssd | 120,000+ random read/write iops | pcie | includes ram cache row 7 : fusion-io iodrive | ssd | 140,000 read iops, 135,000 write iops | pcie | nan row 8 : virident systems tachion | ssd | 320,000 sustained read iops using 4kb blocks and 200,000 | pcie | nan row 9 : ocz revodrive 3 x2 | ssd | 200,000 random write 4k iops | pcie | nan row 10 : fusion-io iodrive duo | ssd | 250,000+ iops | pcie | nan row 11 : violin memory violin 3200 | ssd | 250,000+ random read/write iops | pcie /fc/infiniband/iscsi | flash memory array row 12 : whiptail, accela | ssd | 250,000/200,000+ write/read iops | fibre channel, iscsi, infiniband/srp | flash based storage array row 13 : ddrdrive x1, | ssd | 300,000+ (512b random read iops) and | pcie | nan row 14 : solidfire sf3010/sf6010 | ssd | 250,000 4kb read/write iops | iscsi | flash based storage array (5ru) row 15 : texas memory systems ramsan-720 appliance | ssd | 500,000 optimal read, 250,000 optimal write 4kb | fc / infiniband | nan row 16 : ocz single superscale z-drive r4 pci | ssd | up to 500,000 iops | pcie | nan row 17 : whiptail, invicta | ssd | 650,000/550,000+ read/write iops | fibre channel, iscsi, infiniband/srp | flash based storage array row 18 : violin memory violin 6000 | 3ru flash memory array | 1,000,000+ random read/write iops | /fc/infiniband/10gb(iscsi) | nan row 19 : texas memory systems ramsan-630 appliance | ssd | 1,000,000+ 4kb random read/write iops | fc / infiniband | nan row 20 : fusion-io iodrive octal (single pc | ssd | 1,180,000+ random read/write iops | pcie | nan row 21 : ocz 2x superscale z-drive r4 pc | ssd | up to 1,200,000 iops | pcie | nan row 22 : texas memory systems ramsan-70 | ssd | 1,200,000 random read/write iops | pcie | includes ram cache row 23 : kaminario k2 | flash/dram/hybrid ssd | up to 1,200,000 iops spc-1 iops with the | fc | nan
table_csv/204_152.csv
1
{ "column_index": [ 0, 0, 0, 0, 0, 0, 0 ], "row_index": [ 7, 10, 12, 14, 19, 21, 23 ] }
[ "what devices are pcie compatible?", "which of these list an iops that contains random?" ]
1
texas memory systems ramsan-20, ocz revodrive 3 x2, violin memory violin 3200, ddrdrive x1,, violin memory violin 6000, fusion-io iodrive octal (single pc, texas memory systems ramsan-70
[ "Device", "Type", "IOPS", "Interface", "Notes" ]
which of these list an iops that contains random?
[ [ "Intel X25-M G2 (MLC)", "SSD", "~8,600 IOPS", "SATA 3 Gbit/s", "Intel's data sheet claims 6,600/8,600 IOPS (" ], [ "G.Skill Phoenix Pro", "SSD", "~20,000 IOPS", "SATA 3 Gbit/s", "SandForce-1200 based SSD drives with enhanced firmware, states up" ], [ "OCZ Vertex 3", "SSD", "Up to 60,000 IOPS", "SATA 6 Gbit/s", "Random Write 4 KB (Aligned)" ], [ "Corsair Force Series GT", "SSD", "Up to 85,000 IOPS", "SATA 6 Gbit/s", "240 GB Drive, 555 MB/s sequential read" ], [ "OCZ Vertex 4", "SSD", "Up to 120,000 IOPS", "SATA 6 Gbit/s", "256 GB Drive, 560 MB/s sequential read" ], [ "Texas Memory Systems RamSan-20", "SSD", "120,000+ Random Read/Write IOPS", "PCIe", "Includes RAM cache" ], [ "Fusion-io ioDrive", "SSD", "140,000 Read IOPS, 135,000 Write IOPS", "PCIe", "nan" ], [ "Virident Systems tachIOn", "SSD", "320,000 sustained READ IOPS using 4KB blocks and 200,000", "PCIe", "nan" ], [ "OCZ RevoDrive 3 X2", "SSD", "200,000 Random Write 4K IOPS", "PCIe", "nan" ], [ "Fusion-io ioDrive Duo", "SSD", "250,000+ IOPS", "PCIe", "nan" ], [ "Violin Memory Violin 3200", "SSD", "250,000+ Random Read/Write IOPS", "PCIe /FC/Infiniband/iSCSI", "Flash Memory Array" ], [ "WHIPTAIL, ACCELA", "SSD", "250,000/200,000+ Write/Read IOPS", "Fibre Channel, iSCSI, Infiniband/SRP", "Flash Based Storage Array" ], [ "DDRdrive X1,", "SSD", "300,000+ (512B Random Read IOPS) and", "PCIe", "nan" ], [ "SolidFire SF3010/SF6010", "SSD", "250,000 4KB Read/Write IOPS", "iSCSI", "Flash Based Storage Array (5RU)" ], [ "Texas Memory Systems RamSan-720 Appliance", "SSD", "500,000 Optimal Read, 250,000 Optimal Write 4KB", "FC / InfiniBand", "nan" ], [ "OCZ Single SuperScale Z-Drive R4 PCI", "SSD", "Up to 500,000 IOPS", "PCIe", "nan" ], [ "WHIPTAIL, INVICTA", "SSD", "650,000/550,000+ Read/Write IOPS", "Fibre Channel, iSCSI, Infiniband/SRP", "Flash Based Storage Array" ], [ "Violin Memory Violin 6000", "3RU Flash Memory Array", "1,000,000+ Random Read/Write IOPS", "/FC/Infiniband/10Gb(iSCSI)", "nan" ], [ "Texas Memory Systems RamSan-630 Appliance", "SSD", "1,000,000+ 4KB Random Read/Write IOPS", "FC / InfiniBand", "nan" ], [ "Fusion-io ioDrive Octal (single PC", "SSD", "1,180,000+ Random Read/Write IOPS", "PCIe", "nan" ], [ "OCZ 2x SuperScale Z-Drive R4 PC", "SSD", "Up to 1,200,000 IOPS", "PCIe", "nan" ], [ "Texas Memory Systems RamSan-70", "SSD", "1,200,000 Random Read/Write IOPS", "PCIe", "Includes RAM cache" ], [ "Kaminario K2", "Flash/DRAM/Hybrid SSD", "Up to 1,200,000 IOPS SPC-1 IOPS with the", "FC", "nan" ] ]
[ "Texas Memory Systems RamSan-20", "OCZ RevoDrive 3 X2", "Violin Memory Violin 3200", "DDRdrive X1,", "Violin Memory Violin 6000", "Fusion-io ioDrive Octal (single PC", "Texas Memory Systems RamSan-70" ]
which of these list an iops that contains random? || what devices are pcie compatible?
nt-3538
col : device | type | iops | interface | notes row 1 : intel x25-e (slc) | ssd | ~5,000 iops | sata 3 gbit/s | intel's data sheet claims 3,300 iops and 35,000 i row 2 : ocz vertex 3 | ssd | up to 60,000 iops | sata 6 gbit/s | random write 4 kb (aligned) row 3 : corsair force series gt | ssd | up to 85,000 iops | sata 6 gbit/s | 240 gb drive, 555 mb/s sequential read row 4 : ocz vertex 4 | ssd | up to 120,000 iops | sata 6 gbit/s | 256 gb drive, 560 mb/s sequential read row 5 : texas memory systems ramsan-20 | ssd | 120,000+ random read/write iops | pcie | includes ram cache row 6 : fusion-io iodrive | ssd | 140,000 read iops, 135,000 write iops | pcie | nan row 7 : virident systems tachion | ssd | 320,000 sustained read iops using 4kb blocks and 200,000 | pcie | nan row 8 : ocz revodrive 3 x2 | ssd | 200,000 random write 4k iops | pcie | nan row 9 : fusion-io iodrive duo | ssd | 250,000+ iops | pcie | nan row 10 : violin memory violin 3200 | ssd | 250,000+ random read/write iops | pcie /fc/infiniband/iscsi | flash memory array row 11 : whiptail, accela | ssd | 250,000/200,000+ write/read iops | fibre channel, iscsi, infiniband/srp | flash based storage array row 12 : ddrdrive x1, | ssd | 300,000+ (512b random read iops) and | pcie | nan row 13 : solidfire sf3010/sf6010 | ssd | 250,000 4kb read/write iops | iscsi | flash based storage array (5ru) row 14 : texas memory systems ramsan-720 appliance | ssd | 500,000 optimal read, 250,000 optimal write 4kb | fc / infiniband | nan row 15 : ocz single superscale z-drive r4 pci | ssd | up to 500,000 iops | pcie | nan row 16 : whiptail, invicta | ssd | 650,000/550,000+ read/write iops | fibre channel, iscsi, infiniband/srp | flash based storage array row 17 : violin memory violin 6000 | 3ru flash memory array | 1,000,000+ random read/write iops | /fc/infiniband/10gb(iscsi) | nan row 18 : texas memory systems ramsan-630 appliance | ssd | 1,000,000+ 4kb random read/write iops | fc / infiniband | nan row 19 : fusion-io iodrive octal (single pc | ssd | 1,180,000+ random read/write iops | pcie | nan row 20 : ocz 2x superscale z-drive r4 pc | ssd | up to 1,200,000 iops | pcie | nan row 21 : texas memory systems ramsan-70 | ssd | 1,200,000 random read/write iops | pcie | includes ram cache row 22 : kaminario k2 | flash/dram/hybrid ssd | up to 1,200,000 iops spc-1 iops with the | fc | nan row 23 : netapp fas6240 cluster | flash/disk | 1,261,145 specsfs2008 nfsv | nfs, cifs, fc, fcoe, i | specsfs2008 is the latest version of the standard performance evaluation
table_csv/204_152.csv
2
{ "column_index": [ 0, 0 ], "row_index": [ 12, 19 ] }
[ "what devices are pcie compatible?", "which of these list an iops that contains random?", "of these which ones are infiniband capable?" ]
1
violin memory violin 3200, violin memory violin 6000
[ "Device", "Type", "IOPS", "Interface", "Notes" ]
of these which ones are infiniband capable?
[ [ "Intel X25-E (SLC)", "SSD", "~5,000 IOPS", "SATA 3 Gbit/s", "Intel's data sheet claims 3,300 IOPS and 35,000 I" ], [ "OCZ Vertex 3", "SSD", "Up to 60,000 IOPS", "SATA 6 Gbit/s", "Random Write 4 KB (Aligned)" ], [ "Corsair Force Series GT", "SSD", "Up to 85,000 IOPS", "SATA 6 Gbit/s", "240 GB Drive, 555 MB/s sequential read" ], [ "OCZ Vertex 4", "SSD", "Up to 120,000 IOPS", "SATA 6 Gbit/s", "256 GB Drive, 560 MB/s sequential read" ], [ "Texas Memory Systems RamSan-20", "SSD", "120,000+ Random Read/Write IOPS", "PCIe", "Includes RAM cache" ], [ "Fusion-io ioDrive", "SSD", "140,000 Read IOPS, 135,000 Write IOPS", "PCIe", "nan" ], [ "Virident Systems tachIOn", "SSD", "320,000 sustained READ IOPS using 4KB blocks and 200,000", "PCIe", "nan" ], [ "OCZ RevoDrive 3 X2", "SSD", "200,000 Random Write 4K IOPS", "PCIe", "nan" ], [ "Fusion-io ioDrive Duo", "SSD", "250,000+ IOPS", "PCIe", "nan" ], [ "Violin Memory Violin 3200", "SSD", "250,000+ Random Read/Write IOPS", "PCIe /FC/Infiniband/iSCSI", "Flash Memory Array" ], [ "WHIPTAIL, ACCELA", "SSD", "250,000/200,000+ Write/Read IOPS", "Fibre Channel, iSCSI, Infiniband/SRP", "Flash Based Storage Array" ], [ "DDRdrive X1,", "SSD", "300,000+ (512B Random Read IOPS) and", "PCIe", "nan" ], [ "SolidFire SF3010/SF6010", "SSD", "250,000 4KB Read/Write IOPS", "iSCSI", "Flash Based Storage Array (5RU)" ], [ "Texas Memory Systems RamSan-720 Appliance", "SSD", "500,000 Optimal Read, 250,000 Optimal Write 4KB", "FC / InfiniBand", "nan" ], [ "OCZ Single SuperScale Z-Drive R4 PCI", "SSD", "Up to 500,000 IOPS", "PCIe", "nan" ], [ "WHIPTAIL, INVICTA", "SSD", "650,000/550,000+ Read/Write IOPS", "Fibre Channel, iSCSI, Infiniband/SRP", "Flash Based Storage Array" ], [ "Violin Memory Violin 6000", "3RU Flash Memory Array", "1,000,000+ Random Read/Write IOPS", "/FC/Infiniband/10Gb(iSCSI)", "nan" ], [ "Texas Memory Systems RamSan-630 Appliance", "SSD", "1,000,000+ 4KB Random Read/Write IOPS", "FC / InfiniBand", "nan" ], [ "Fusion-io ioDrive Octal (single PC", "SSD", "1,180,000+ Random Read/Write IOPS", "PCIe", "nan" ], [ "OCZ 2x SuperScale Z-Drive R4 PC", "SSD", "Up to 1,200,000 IOPS", "PCIe", "nan" ], [ "Texas Memory Systems RamSan-70", "SSD", "1,200,000 Random Read/Write IOPS", "PCIe", "Includes RAM cache" ], [ "Kaminario K2", "Flash/DRAM/Hybrid SSD", "Up to 1,200,000 IOPS SPC-1 IOPS with the", "FC", "nan" ], [ "NetApp FAS6240 cluster", "Flash/Disk", "1,261,145 SPECsfs2008 nfsv", "NFS, CIFS, FC, FCoE, i", "SPECsfs2008 is the latest version of the Standard Performance Evaluation" ] ]
[ "Violin Memory Violin 3200", "Violin Memory Violin 6000" ]
of these which ones are infiniband capable? || which of these list an iops that contains random? | what devices are pcie compatible?
nt-3538
col : device | type | iops | interface | notes row 1 : intel x25-e (slc) | ssd | ~5,000 iops | sata 3 gbit/s | intel's data sheet claims 3,300 iops and 35,000 i row 2 : g.skill phoenix pro | ssd | ~20,000 iops | sata 3 gbit/s | sandforce-1200 based ssd drives with enhanced firmware, states up row 3 : ocz vertex 3 | ssd | up to 60,000 iops | sata 6 gbit/s | random write 4 kb (aligned) row 4 : corsair force series gt | ssd | up to 85,000 iops | sata 6 gbit/s | 240 gb drive, 555 mb/s sequential read row 5 : ocz vertex 4 | ssd | up to 120,000 iops | sata 6 gbit/s | 256 gb drive, 560 mb/s sequential read row 6 : texas memory systems ramsan-20 | ssd | 120,000+ random read/write iops | pcie | includes ram cache row 7 : fusion-io iodrive | ssd | 140,000 read iops, 135,000 write iops | pcie | nan row 8 : virident systems tachion | ssd | 320,000 sustained read iops using 4kb blocks and 200,000 | pcie | nan row 9 : ocz revodrive 3 x2 | ssd | 200,000 random write 4k iops | pcie | nan row 10 : fusion-io iodrive duo | ssd | 250,000+ iops | pcie | nan row 11 : violin memory violin 3200 | ssd | 250,000+ random read/write iops | pcie /fc/infiniband/iscsi | flash memory array row 12 : whiptail, accela | ssd | 250,000/200,000+ write/read iops | fibre channel, iscsi, infiniband/srp | flash based storage array row 13 : ddrdrive x1, | ssd | 300,000+ (512b random read iops) and | pcie | nan row 14 : solidfire sf3010/sf6010 | ssd | 250,000 4kb read/write iops | iscsi | flash based storage array (5ru) row 15 : texas memory systems ramsan-720 appliance | ssd | 500,000 optimal read, 250,000 optimal write 4kb | fc / infiniband | nan row 16 : ocz single superscale z-drive r4 pci | ssd | up to 500,000 iops | pcie | nan row 17 : whiptail, invicta | ssd | 650,000/550,000+ read/write iops | fibre channel, iscsi, infiniband/srp | flash based storage array row 18 : violin memory violin 6000 | 3ru flash memory array | 1,000,000+ random read/write iops | /fc/infiniband/10gb(iscsi) | nan row 19 : texas memory systems ramsan-630 appliance | ssd | 1,000,000+ 4kb random read/write iops | fc / infiniband | nan row 20 : fusion-io iodrive octal (single pc | ssd | 1,180,000+ random read/write iops | pcie | nan row 21 : ocz 2x superscale z-drive r4 pc | ssd | up to 1,200,000 iops | pcie | nan row 22 : texas memory systems ramsan-70 | ssd | 1,200,000 random read/write iops | pcie | includes ram cache row 23 : kaminario k2 | flash/dram/hybrid ssd | up to 1,200,000 iops spc-1 iops with the | fc | nan
table_csv/204_152.csv
3
{ "column_index": [ 0 ], "row_index": [ 12 ] }
[ "what devices are pcie compatible?", "which of these list an iops that contains random?", "of these which ones are infiniband capable?", "which of these is not 10gb(iscsi) compatible?" ]
1
violin memory violin 3200
[ "Device", "Type", "IOPS", "Interface", "Notes" ]
which of these is not 10gb(iscsi) compatible?
[ [ "Intel X25-E (SLC)", "SSD", "~5,000 IOPS", "SATA 3 Gbit/s", "Intel's data sheet claims 3,300 IOPS and 35,000 I" ], [ "G.Skill Phoenix Pro", "SSD", "~20,000 IOPS", "SATA 3 Gbit/s", "SandForce-1200 based SSD drives with enhanced firmware, states up" ], [ "OCZ Vertex 3", "SSD", "Up to 60,000 IOPS", "SATA 6 Gbit/s", "Random Write 4 KB (Aligned)" ], [ "Corsair Force Series GT", "SSD", "Up to 85,000 IOPS", "SATA 6 Gbit/s", "240 GB Drive, 555 MB/s sequential read" ], [ "OCZ Vertex 4", "SSD", "Up to 120,000 IOPS", "SATA 6 Gbit/s", "256 GB Drive, 560 MB/s sequential read" ], [ "Texas Memory Systems RamSan-20", "SSD", "120,000+ Random Read/Write IOPS", "PCIe", "Includes RAM cache" ], [ "Fusion-io ioDrive", "SSD", "140,000 Read IOPS, 135,000 Write IOPS", "PCIe", "nan" ], [ "Virident Systems tachIOn", "SSD", "320,000 sustained READ IOPS using 4KB blocks and 200,000", "PCIe", "nan" ], [ "OCZ RevoDrive 3 X2", "SSD", "200,000 Random Write 4K IOPS", "PCIe", "nan" ], [ "Fusion-io ioDrive Duo", "SSD", "250,000+ IOPS", "PCIe", "nan" ], [ "Violin Memory Violin 3200", "SSD", "250,000+ Random Read/Write IOPS", "PCIe /FC/Infiniband/iSCSI", "Flash Memory Array" ], [ "WHIPTAIL, ACCELA", "SSD", "250,000/200,000+ Write/Read IOPS", "Fibre Channel, iSCSI, Infiniband/SRP", "Flash Based Storage Array" ], [ "DDRdrive X1,", "SSD", "300,000+ (512B Random Read IOPS) and", "PCIe", "nan" ], [ "SolidFire SF3010/SF6010", "SSD", "250,000 4KB Read/Write IOPS", "iSCSI", "Flash Based Storage Array (5RU)" ], [ "Texas Memory Systems RamSan-720 Appliance", "SSD", "500,000 Optimal Read, 250,000 Optimal Write 4KB", "FC / InfiniBand", "nan" ], [ "OCZ Single SuperScale Z-Drive R4 PCI", "SSD", "Up to 500,000 IOPS", "PCIe", "nan" ], [ "WHIPTAIL, INVICTA", "SSD", "650,000/550,000+ Read/Write IOPS", "Fibre Channel, iSCSI, Infiniband/SRP", "Flash Based Storage Array" ], [ "Violin Memory Violin 6000", "3RU Flash Memory Array", "1,000,000+ Random Read/Write IOPS", "/FC/Infiniband/10Gb(iSCSI)", "nan" ], [ "Texas Memory Systems RamSan-630 Appliance", "SSD", "1,000,000+ 4KB Random Read/Write IOPS", "FC / InfiniBand", "nan" ], [ "Fusion-io ioDrive Octal (single PC", "SSD", "1,180,000+ Random Read/Write IOPS", "PCIe", "nan" ], [ "OCZ 2x SuperScale Z-Drive R4 PC", "SSD", "Up to 1,200,000 IOPS", "PCIe", "nan" ], [ "Texas Memory Systems RamSan-70", "SSD", "1,200,000 Random Read/Write IOPS", "PCIe", "Includes RAM cache" ], [ "Kaminario K2", "Flash/DRAM/Hybrid SSD", "Up to 1,200,000 IOPS SPC-1 IOPS with the", "FC", "nan" ] ]
[ "Violin Memory Violin 3200" ]
which of these is not 10gb(iscsi) compatible? || of these which ones are infiniband capable? | which of these list an iops that contains random? | what devices are pcie compatible?
nt-3538
col : device | type | iops | interface | notes row 1 : simple slc ssd | ssd | ~400 iops[citation needed] | sata 3 gbit/s | nan row 2 : intel x25-m g2 (mlc) | ssd | ~8,600 iops | sata 3 gbit/s | intel's data sheet claims 6,600/8,600 iops ( row 3 : intel x25-e (slc) | ssd | ~5,000 iops | sata 3 gbit/s | intel's data sheet claims 3,300 iops and 35,000 i row 4 : g.skill phoenix pro | ssd | ~20,000 iops | sata 3 gbit/s | sandforce-1200 based ssd drives with enhanced firmware, states up row 5 : corsair force series gt | ssd | up to 85,000 iops | sata 6 gbit/s | 240 gb drive, 555 mb/s sequential read row 6 : ocz vertex 4 | ssd | up to 120,000 iops | sata 6 gbit/s | 256 gb drive, 560 mb/s sequential read row 7 : texas memory systems ramsan-20 | ssd | 120,000+ random read/write iops | pcie | includes ram cache row 8 : fusion-io iodrive | ssd | 140,000 read iops, 135,000 write iops | pcie | nan row 9 : virident systems tachion | ssd | 320,000 sustained read iops using 4kb blocks and 200,000 | pcie | nan row 10 : ocz revodrive 3 x2 | ssd | 200,000 random write 4k iops | pcie | nan row 11 : fusion-io iodrive duo | ssd | 250,000+ iops | pcie | nan row 12 : violin memory violin 3200 | ssd | 250,000+ random read/write iops | pcie /fc/infiniband/iscsi | flash memory array row 13 : whiptail, accela | ssd | 250,000/200,000+ write/read iops | fibre channel, iscsi, infiniband/srp | flash based storage array row 14 : ddrdrive x1, | ssd | 300,000+ (512b random read iops) and | pcie | nan row 15 : solidfire sf3010/sf6010 | ssd | 250,000 4kb read/write iops | iscsi | flash based storage array (5ru) row 16 : ocz single superscale z-drive r4 pci | ssd | up to 500,000 iops | pcie | nan row 17 : whiptail, invicta | ssd | 650,000/550,000+ read/write iops | fibre channel, iscsi, infiniband/srp | flash based storage array row 18 : violin memory violin 6000 | 3ru flash memory array | 1,000,000+ random read/write iops | /fc/infiniband/10gb(iscsi) | nan row 19 : texas memory systems ramsan-630 appliance | ssd | 1,000,000+ 4kb random read/write iops | fc / infiniband | nan row 20 : fusion-io iodrive octal (single pc | ssd | 1,180,000+ random read/write iops | pcie | nan row 21 : ocz 2x superscale z-drive r4 pc | ssd | up to 1,200,000 iops | pcie | nan row 22 : texas memory systems ramsan-70 | ssd | 1,200,000 random read/write iops | pcie | includes ram cache row 23 : kaminario k2 | flash/dram/hybrid ssd | up to 1,200,000 iops spc-1 iops with the | fc | nan
table_csv/204_152.csv
0
{ "column_index": [ 2 ], "row_index": [ 12 ] }
[ "what iops does the violin memory violin 3200 have?" ]
2
250,000+ random read/write iops
[ "Device", "Type", "IOPS", "Interface", "Notes" ]
what iops does the violin memory violin 3200 have?
[ [ "Simple SLC SSD", "SSD", "~400 IOPS[citation needed]", "SATA 3 Gbit/s", "nan" ], [ "Intel X25-M G2 (MLC)", "SSD", "~8,600 IOPS", "SATA 3 Gbit/s", "Intel's data sheet claims 6,600/8,600 IOPS (" ], [ "Intel X25-E (SLC)", "SSD", "~5,000 IOPS", "SATA 3 Gbit/s", "Intel's data sheet claims 3,300 IOPS and 35,000 I" ], [ "G.Skill Phoenix Pro", "SSD", "~20,000 IOPS", "SATA 3 Gbit/s", "SandForce-1200 based SSD drives with enhanced firmware, states up" ], [ "Corsair Force Series GT", "SSD", "Up to 85,000 IOPS", "SATA 6 Gbit/s", "240 GB Drive, 555 MB/s sequential read" ], [ "OCZ Vertex 4", "SSD", "Up to 120,000 IOPS", "SATA 6 Gbit/s", "256 GB Drive, 560 MB/s sequential read" ], [ "Texas Memory Systems RamSan-20", "SSD", "120,000+ Random Read/Write IOPS", "PCIe", "Includes RAM cache" ], [ "Fusion-io ioDrive", "SSD", "140,000 Read IOPS, 135,000 Write IOPS", "PCIe", "nan" ], [ "Virident Systems tachIOn", "SSD", "320,000 sustained READ IOPS using 4KB blocks and 200,000", "PCIe", "nan" ], [ "OCZ RevoDrive 3 X2", "SSD", "200,000 Random Write 4K IOPS", "PCIe", "nan" ], [ "Fusion-io ioDrive Duo", "SSD", "250,000+ IOPS", "PCIe", "nan" ], [ "Violin Memory Violin 3200", "SSD", "250,000+ Random Read/Write IOPS", "PCIe /FC/Infiniband/iSCSI", "Flash Memory Array" ], [ "WHIPTAIL, ACCELA", "SSD", "250,000/200,000+ Write/Read IOPS", "Fibre Channel, iSCSI, Infiniband/SRP", "Flash Based Storage Array" ], [ "DDRdrive X1,", "SSD", "300,000+ (512B Random Read IOPS) and", "PCIe", "nan" ], [ "SolidFire SF3010/SF6010", "SSD", "250,000 4KB Read/Write IOPS", "iSCSI", "Flash Based Storage Array (5RU)" ], [ "OCZ Single SuperScale Z-Drive R4 PCI", "SSD", "Up to 500,000 IOPS", "PCIe", "nan" ], [ "WHIPTAIL, INVICTA", "SSD", "650,000/550,000+ Read/Write IOPS", "Fibre Channel, iSCSI, Infiniband/SRP", "Flash Based Storage Array" ], [ "Violin Memory Violin 6000", "3RU Flash Memory Array", "1,000,000+ Random Read/Write IOPS", "/FC/Infiniband/10Gb(iSCSI)", "nan" ], [ "Texas Memory Systems RamSan-630 Appliance", "SSD", "1,000,000+ 4KB Random Read/Write IOPS", "FC / InfiniBand", "nan" ], [ "Fusion-io ioDrive Octal (single PC", "SSD", "1,180,000+ Random Read/Write IOPS", "PCIe", "nan" ], [ "OCZ 2x SuperScale Z-Drive R4 PC", "SSD", "Up to 1,200,000 IOPS", "PCIe", "nan" ], [ "Texas Memory Systems RamSan-70", "SSD", "1,200,000 Random Read/Write IOPS", "PCIe", "Includes RAM cache" ], [ "Kaminario K2", "Flash/DRAM/Hybrid SSD", "Up to 1,200,000 IOPS SPC-1 IOPS with the", "FC", "nan" ] ]
[ "250,000+ Random Read/Write IOPS" ]
what iops does the violin memory violin 3200 have? ||
nt-3538
col : device | type | iops | interface | notes row 1 : simple slc ssd | ssd | ~400 iops[citation needed] | sata 3 gbit/s | nan row 2 : intel x25-m g2 (mlc) | ssd | ~8,600 iops | sata 3 gbit/s | intel's data sheet claims 6,600/8,600 iops ( row 3 : intel x25-e (slc) | ssd | ~5,000 iops | sata 3 gbit/s | intel's data sheet claims 3,300 iops and 35,000 i row 4 : g.skill phoenix pro | ssd | ~20,000 iops | sata 3 gbit/s | sandforce-1200 based ssd drives with enhanced firmware, states up row 5 : ocz vertex 3 | ssd | up to 60,000 iops | sata 6 gbit/s | random write 4 kb (aligned) row 6 : corsair force series gt | ssd | up to 85,000 iops | sata 6 gbit/s | 240 gb drive, 555 mb/s sequential read row 7 : texas memory systems ramsan-20 | ssd | 120,000+ random read/write iops | pcie | includes ram cache row 8 : fusion-io iodrive | ssd | 140,000 read iops, 135,000 write iops | pcie | nan row 9 : virident systems tachion | ssd | 320,000 sustained read iops using 4kb blocks and 200,000 | pcie | nan row 10 : ocz revodrive 3 x2 | ssd | 200,000 random write 4k iops | pcie | nan row 11 : fusion-io iodrive duo | ssd | 250,000+ iops | pcie | nan row 12 : violin memory violin 3200 | ssd | 250,000+ random read/write iops | pcie /fc/infiniband/iscsi | flash memory array row 13 : whiptail, accela | ssd | 250,000/200,000+ write/read iops | fibre channel, iscsi, infiniband/srp | flash based storage array row 14 : ddrdrive x1, | ssd | 300,000+ (512b random read iops) and | pcie | nan row 15 : texas memory systems ramsan-720 appliance | ssd | 500,000 optimal read, 250,000 optimal write 4kb | fc / infiniband | nan row 16 : ocz single superscale z-drive r4 pci | ssd | up to 500,000 iops | pcie | nan row 17 : whiptail, invicta | ssd | 650,000/550,000+ read/write iops | fibre channel, iscsi, infiniband/srp | flash based storage array row 18 : texas memory systems ramsan-630 appliance | ssd | 1,000,000+ 4kb random read/write iops | fc / infiniband | nan row 19 : fusion-io iodrive octal (single pc | ssd | 1,180,000+ random read/write iops | pcie | nan row 20 : ocz 2x superscale z-drive r4 pc | ssd | up to 1,200,000 iops | pcie | nan row 21 : texas memory systems ramsan-70 | ssd | 1,200,000 random read/write iops | pcie | includes ram cache row 22 : kaminario k2 | flash/dram/hybrid ssd | up to 1,200,000 iops spc-1 iops with the | fc | nan row 23 : netapp fas6240 cluster | flash/disk | 1,261,145 specsfs2008 nfsv | nfs, cifs, fc, fcoe, i | specsfs2008 is the latest version of the standard performance evaluation row 24 : fusion-io iodrive2 | ssd | up to 9,608,000 iops | pcie | nan
table_csv/204_152.csv
1
{ "column_index": [ 3 ], "row_index": [ 12 ] }
[ "what iops does the violin memory violin 3200 have?", "what interface does the violin memory violin 3200 have?" ]
2
pcie /fc/infiniband/iscsi
[ "Device", "Type", "IOPS", "Interface", "Notes" ]
what interface does the violin memory violin 3200 have?
[ [ "Simple SLC SSD", "SSD", "~400 IOPS[citation needed]", "SATA 3 Gbit/s", "nan" ], [ "Intel X25-M G2 (MLC)", "SSD", "~8,600 IOPS", "SATA 3 Gbit/s", "Intel's data sheet claims 6,600/8,600 IOPS (" ], [ "Intel X25-E (SLC)", "SSD", "~5,000 IOPS", "SATA 3 Gbit/s", "Intel's data sheet claims 3,300 IOPS and 35,000 I" ], [ "G.Skill Phoenix Pro", "SSD", "~20,000 IOPS", "SATA 3 Gbit/s", "SandForce-1200 based SSD drives with enhanced firmware, states up" ], [ "OCZ Vertex 3", "SSD", "Up to 60,000 IOPS", "SATA 6 Gbit/s", "Random Write 4 KB (Aligned)" ], [ "Corsair Force Series GT", "SSD", "Up to 85,000 IOPS", "SATA 6 Gbit/s", "240 GB Drive, 555 MB/s sequential read" ], [ "Texas Memory Systems RamSan-20", "SSD", "120,000+ Random Read/Write IOPS", "PCIe", "Includes RAM cache" ], [ "Fusion-io ioDrive", "SSD", "140,000 Read IOPS, 135,000 Write IOPS", "PCIe", "nan" ], [ "Virident Systems tachIOn", "SSD", "320,000 sustained READ IOPS using 4KB blocks and 200,000", "PCIe", "nan" ], [ "OCZ RevoDrive 3 X2", "SSD", "200,000 Random Write 4K IOPS", "PCIe", "nan" ], [ "Fusion-io ioDrive Duo", "SSD", "250,000+ IOPS", "PCIe", "nan" ], [ "Violin Memory Violin 3200", "SSD", "250,000+ Random Read/Write IOPS", "PCIe /FC/Infiniband/iSCSI", "Flash Memory Array" ], [ "WHIPTAIL, ACCELA", "SSD", "250,000/200,000+ Write/Read IOPS", "Fibre Channel, iSCSI, Infiniband/SRP", "Flash Based Storage Array" ], [ "DDRdrive X1,", "SSD", "300,000+ (512B Random Read IOPS) and", "PCIe", "nan" ], [ "Texas Memory Systems RamSan-720 Appliance", "SSD", "500,000 Optimal Read, 250,000 Optimal Write 4KB", "FC / InfiniBand", "nan" ], [ "OCZ Single SuperScale Z-Drive R4 PCI", "SSD", "Up to 500,000 IOPS", "PCIe", "nan" ], [ "WHIPTAIL, INVICTA", "SSD", "650,000/550,000+ Read/Write IOPS", "Fibre Channel, iSCSI, Infiniband/SRP", "Flash Based Storage Array" ], [ "Texas Memory Systems RamSan-630 Appliance", "SSD", "1,000,000+ 4KB Random Read/Write IOPS", "FC / InfiniBand", "nan" ], [ "Fusion-io ioDrive Octal (single PC", "SSD", "1,180,000+ Random Read/Write IOPS", "PCIe", "nan" ], [ "OCZ 2x SuperScale Z-Drive R4 PC", "SSD", "Up to 1,200,000 IOPS", "PCIe", "nan" ], [ "Texas Memory Systems RamSan-70", "SSD", "1,200,000 Random Read/Write IOPS", "PCIe", "Includes RAM cache" ], [ "Kaminario K2", "Flash/DRAM/Hybrid SSD", "Up to 1,200,000 IOPS SPC-1 IOPS with the", "FC", "nan" ], [ "NetApp FAS6240 cluster", "Flash/Disk", "1,261,145 SPECsfs2008 nfsv", "NFS, CIFS, FC, FCoE, i", "SPECsfs2008 is the latest version of the Standard Performance Evaluation" ], [ "Fusion-io ioDrive2", "SSD", "Up to 9,608,000 IOPS", "PCIe", "nan" ] ]
[ "PCIe /FC/Infiniband/iSCSI" ]
what interface does the violin memory violin 3200 have? || what iops does the violin memory violin 3200 have?
nt-3538
col : device | type | iops | interface | notes row 1 : simple slc ssd | ssd | ~400 iops[citation needed] | sata 3 gbit/s | nan row 2 : intel x25-m g2 (mlc) | ssd | ~8,600 iops | sata 3 gbit/s | intel's data sheet claims 6,600/8,600 iops ( row 3 : intel x25-e (slc) | ssd | ~5,000 iops | sata 3 gbit/s | intel's data sheet claims 3,300 iops and 35,000 i row 4 : g.skill phoenix pro | ssd | ~20,000 iops | sata 3 gbit/s | sandforce-1200 based ssd drives with enhanced firmware, states up row 5 : corsair force series gt | ssd | up to 85,000 iops | sata 6 gbit/s | 240 gb drive, 555 mb/s sequential read row 6 : ocz vertex 4 | ssd | up to 120,000 iops | sata 6 gbit/s | 256 gb drive, 560 mb/s sequential read row 7 : texas memory systems ramsan-20 | ssd | 120,000+ random read/write iops | pcie | includes ram cache row 8 : fusion-io iodrive | ssd | 140,000 read iops, 135,000 write iops | pcie | nan row 9 : virident systems tachion | ssd | 320,000 sustained read iops using 4kb blocks and 200,000 | pcie | nan row 10 : ocz revodrive 3 x2 | ssd | 200,000 random write 4k iops | pcie | nan row 11 : fusion-io iodrive duo | ssd | 250,000+ iops | pcie | nan row 12 : violin memory violin 3200 | ssd | 250,000+ random read/write iops | pcie /fc/infiniband/iscsi | flash memory array row 13 : whiptail, accela | ssd | 250,000/200,000+ write/read iops | fibre channel, iscsi, infiniband/srp | flash based storage array row 14 : ddrdrive x1, | ssd | 300,000+ (512b random read iops) and | pcie | nan row 15 : solidfire sf3010/sf6010 | ssd | 250,000 4kb read/write iops | iscsi | flash based storage array (5ru) row 16 : texas memory systems ramsan-720 appliance | ssd | 500,000 optimal read, 250,000 optimal write 4kb | fc / infiniband | nan row 17 : ocz single superscale z-drive r4 pci | ssd | up to 500,000 iops | pcie | nan row 18 : whiptail, invicta | ssd | 650,000/550,000+ read/write iops | fibre channel, iscsi, infiniband/srp | flash based storage array row 19 : violin memory violin 6000 | 3ru flash memory array | 1,000,000+ random read/write iops | /fc/infiniband/10gb(iscsi) | nan row 20 : texas memory systems ramsan-630 appliance | ssd | 1,000,000+ 4kb random read/write iops | fc / infiniband | nan row 21 : fusion-io iodrive octal (single pc | ssd | 1,180,000+ random read/write iops | pcie | nan row 22 : ocz 2x superscale z-drive r4 pc | ssd | up to 1,200,000 iops | pcie | nan row 23 : texas memory systems ramsan-70 | ssd | 1,200,000 random read/write iops | pcie | includes ram cache
table_csv/204_152.csv
2
{ "column_index": [ 0 ], "row_index": [ 12 ] }
[ "what iops does the violin memory violin 3200 have?", "what interface does the violin memory violin 3200 have?", "which device has the flash memory array note?" ]
2
violin memory violin 3200
[ "Device", "Type", "IOPS", "Interface", "Notes" ]
which device has the flash memory array note?
[ [ "Simple SLC SSD", "SSD", "~400 IOPS[citation needed]", "SATA 3 Gbit/s", "nan" ], [ "Intel X25-M G2 (MLC)", "SSD", "~8,600 IOPS", "SATA 3 Gbit/s", "Intel's data sheet claims 6,600/8,600 IOPS (" ], [ "Intel X25-E (SLC)", "SSD", "~5,000 IOPS", "SATA 3 Gbit/s", "Intel's data sheet claims 3,300 IOPS and 35,000 I" ], [ "G.Skill Phoenix Pro", "SSD", "~20,000 IOPS", "SATA 3 Gbit/s", "SandForce-1200 based SSD drives with enhanced firmware, states up" ], [ "Corsair Force Series GT", "SSD", "Up to 85,000 IOPS", "SATA 6 Gbit/s", "240 GB Drive, 555 MB/s sequential read" ], [ "OCZ Vertex 4", "SSD", "Up to 120,000 IOPS", "SATA 6 Gbit/s", "256 GB Drive, 560 MB/s sequential read" ], [ "Texas Memory Systems RamSan-20", "SSD", "120,000+ Random Read/Write IOPS", "PCIe", "Includes RAM cache" ], [ "Fusion-io ioDrive", "SSD", "140,000 Read IOPS, 135,000 Write IOPS", "PCIe", "nan" ], [ "Virident Systems tachIOn", "SSD", "320,000 sustained READ IOPS using 4KB blocks and 200,000", "PCIe", "nan" ], [ "OCZ RevoDrive 3 X2", "SSD", "200,000 Random Write 4K IOPS", "PCIe", "nan" ], [ "Fusion-io ioDrive Duo", "SSD", "250,000+ IOPS", "PCIe", "nan" ], [ "Violin Memory Violin 3200", "SSD", "250,000+ Random Read/Write IOPS", "PCIe /FC/Infiniband/iSCSI", "Flash Memory Array" ], [ "WHIPTAIL, ACCELA", "SSD", "250,000/200,000+ Write/Read IOPS", "Fibre Channel, iSCSI, Infiniband/SRP", "Flash Based Storage Array" ], [ "DDRdrive X1,", "SSD", "300,000+ (512B Random Read IOPS) and", "PCIe", "nan" ], [ "SolidFire SF3010/SF6010", "SSD", "250,000 4KB Read/Write IOPS", "iSCSI", "Flash Based Storage Array (5RU)" ], [ "Texas Memory Systems RamSan-720 Appliance", "SSD", "500,000 Optimal Read, 250,000 Optimal Write 4KB", "FC / InfiniBand", "nan" ], [ "OCZ Single SuperScale Z-Drive R4 PCI", "SSD", "Up to 500,000 IOPS", "PCIe", "nan" ], [ "WHIPTAIL, INVICTA", "SSD", "650,000/550,000+ Read/Write IOPS", "Fibre Channel, iSCSI, Infiniband/SRP", "Flash Based Storage Array" ], [ "Violin Memory Violin 6000", "3RU Flash Memory Array", "1,000,000+ Random Read/Write IOPS", "/FC/Infiniband/10Gb(iSCSI)", "nan" ], [ "Texas Memory Systems RamSan-630 Appliance", "SSD", "1,000,000+ 4KB Random Read/Write IOPS", "FC / InfiniBand", "nan" ], [ "Fusion-io ioDrive Octal (single PC", "SSD", "1,180,000+ Random Read/Write IOPS", "PCIe", "nan" ], [ "OCZ 2x SuperScale Z-Drive R4 PC", "SSD", "Up to 1,200,000 IOPS", "PCIe", "nan" ], [ "Texas Memory Systems RamSan-70", "SSD", "1,200,000 Random Read/Write IOPS", "PCIe", "Includes RAM cache" ] ]
[ "Violin Memory Violin 3200" ]
which device has the flash memory array note? || what interface does the violin memory violin 3200 have? | what iops does the violin memory violin 3200 have?
ns-958
col : rank | nation | gold | silver | bronze | total row 1 : 1 | venezuela | 5 | 2 | 3 | 10 row 2 : 2 | colombia | 4 | 4 | 9 | 17 row 3 : 3 | dominican republic | 4 | 3 | 4 | 11 row 4 : 4 | peru | 3 | 3 | 8 | 14 row 5 : 5 | ecuador | 2 | 3 | 3 | 8 row 6 : 6 | guatemala | 1 | 1 | 1 | 3 row 7 : 7 | chile | 0 | 3 | 2 | 5 row 8 : 8 | panama | 0 | 0 | 3 | 3 row 9 : 9 | bolivia | 0 | 0 | 1 | 1 row 10 : 9 | paraguay | 0 | 0 | 1 | 1 row 11 : total | total | 19 | 19 | 35 | 73
table_csv/204_922.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 nations participated?" ]
0
venezuela, colombia, dominican republic, peru, ecuador, guatemala, chile, panama, bolivia, paraguay
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
what nations participated?
[ [ "1", "Venezuela", "5", "2", "3", "10" ], [ "2", "Colombia", "4", "4", "9", "17" ], [ "3", "Dominican Republic", "4", "3", "4", "11" ], [ "4", "Peru", "3", "3", "8", "14" ], [ "5", "Ecuador", "2", "3", "3", "8" ], [ "6", "Guatemala", "1", "1", "1", "3" ], [ "7", "Chile", "0", "3", "2", "5" ], [ "8", "Panama", "0", "0", "3", "3" ], [ "9", "Bolivia", "0", "0", "1", "1" ], [ "9", "Paraguay", "0", "0", "1", "1" ], [ "Total", "Total", "19", "19", "35", "73" ] ]
[ "Venezuela", "Colombia", "Dominican Republic", "Peru", "Ecuador", "Guatemala", "Chile", "Panama", "Bolivia", "Paraguay" ]
what nations participated? ||
ns-958
col : rank | nation | gold | silver | bronze | total row 1 : 1 | venezuela | 5 | 2 | 3 | 10 row 2 : 2 | colombia | 4 | 4 | 9 | 17 row 3 : 3 | dominican republic | 4 | 3 | 4 | 11 row 4 : 4 | peru | 3 | 3 | 8 | 14 row 5 : 5 | ecuador | 2 | 3 | 3 | 8 row 6 : 6 | guatemala | 1 | 1 | 1 | 3 row 7 : 7 | chile | 0 | 3 | 2 | 5 row 8 : 8 | panama | 0 | 0 | 3 | 3 row 9 : 9 | bolivia | 0 | 0 | 1 | 1 row 10 : 9 | paraguay | 0 | 0 | 1 | 1 row 11 : total | total | 19 | 19 | 35 | 73
table_csv/204_922.csv
1
{ "column_index": [ 2, 2, 2, 2, 2, 2, 2, 2, 2, 2 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 ] }
[ "what nations participated?", "how many gold medals did they win?" ]
0
5, 4, 4, 3, 2, 1, 0, 0, 0, 0
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
how many gold medals did they win?
[ [ "1", "Venezuela", "5", "2", "3", "10" ], [ "2", "Colombia", "4", "4", "9", "17" ], [ "3", "Dominican Republic", "4", "3", "4", "11" ], [ "4", "Peru", "3", "3", "8", "14" ], [ "5", "Ecuador", "2", "3", "3", "8" ], [ "6", "Guatemala", "1", "1", "1", "3" ], [ "7", "Chile", "0", "3", "2", "5" ], [ "8", "Panama", "0", "0", "3", "3" ], [ "9", "Bolivia", "0", "0", "1", "1" ], [ "9", "Paraguay", "0", "0", "1", "1" ], [ "Total", "Total", "19", "19", "35", "73" ] ]
[ "5", "4", "4", "3", "2", "1", "0", "0", "0", "0" ]
how many gold medals did they win? || what nations participated?
ns-958
col : rank | nation | gold | silver | bronze | total row 1 : 1 | venezuela | 5 | 2 | 3 | 10 row 2 : 2 | colombia | 4 | 4 | 9 | 17 row 3 : 3 | dominican republic | 4 | 3 | 4 | 11 row 4 : 4 | peru | 3 | 3 | 8 | 14 row 5 : 5 | ecuador | 2 | 3 | 3 | 8 row 6 : 6 | guatemala | 1 | 1 | 1 | 3 row 7 : 7 | chile | 0 | 3 | 2 | 5 row 8 : 8 | panama | 0 | 0 | 3 | 3 row 9 : 9 | bolivia | 0 | 0 | 1 | 1 row 10 : 9 | paraguay | 0 | 0 | 1 | 1 row 11 : total | total | 19 | 19 | 35 | 73
table_csv/204_922.csv
2
{ "column_index": [ 2 ], "row_index": [ 1 ] }
[ "what nations participated?", "how many gold medals did they win?", "what about just colombia?" ]
0
4
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
what about just colombia?
[ [ "1", "Venezuela", "5", "2", "3", "10" ], [ "2", "Colombia", "4", "4", "9", "17" ], [ "3", "Dominican Republic", "4", "3", "4", "11" ], [ "4", "Peru", "3", "3", "8", "14" ], [ "5", "Ecuador", "2", "3", "3", "8" ], [ "6", "Guatemala", "1", "1", "1", "3" ], [ "7", "Chile", "0", "3", "2", "5" ], [ "8", "Panama", "0", "0", "3", "3" ], [ "9", "Bolivia", "0", "0", "1", "1" ], [ "9", "Paraguay", "0", "0", "1", "1" ], [ "Total", "Total", "19", "19", "35", "73" ] ]
[ "4" ]
what about just colombia? || how many gold medals did they win? | what nations participated?
ns-958
col : rank | nation | gold | silver | bronze | total row 1 : 1 | venezuela | 5 | 2 | 3 | 10 row 2 : 2 | colombia | 4 | 4 | 9 | 17 row 3 : 3 | dominican republic | 4 | 3 | 4 | 11 row 4 : 4 | peru | 3 | 3 | 8 | 14 row 5 : 5 | ecuador | 2 | 3 | 3 | 8 row 6 : 6 | guatemala | 1 | 1 | 1 | 3 row 7 : 7 | chile | 0 | 3 | 2 | 5 row 8 : 8 | panama | 0 | 0 | 3 | 3 row 9 : 9 | bolivia | 0 | 0 | 1 | 1 row 10 : 9 | paraguay | 0 | 0 | 1 | 1 row 11 : total | total | 19 | 19 | 35 | 73
table_csv/204_922.csv
3
{ "column_index": [ 1 ], "row_index": [ 2 ] }
[ "what nations participated?", "how many gold medals did they win?", "what about just colombia?", "and which other country won 4 gold medals?" ]
0
dominican republic
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
and which other country won 4 gold medals?
[ [ "1", "Venezuela", "5", "2", "3", "10" ], [ "2", "Colombia", "4", "4", "9", "17" ], [ "3", "Dominican Republic", "4", "3", "4", "11" ], [ "4", "Peru", "3", "3", "8", "14" ], [ "5", "Ecuador", "2", "3", "3", "8" ], [ "6", "Guatemala", "1", "1", "1", "3" ], [ "7", "Chile", "0", "3", "2", "5" ], [ "8", "Panama", "0", "0", "3", "3" ], [ "9", "Bolivia", "0", "0", "1", "1" ], [ "9", "Paraguay", "0", "0", "1", "1" ], [ "Total", "Total", "19", "19", "35", "73" ] ]
[ "Dominican Republic" ]
and which other country won 4 gold medals? || what about just colombia? | how many gold medals did they win? | what nations participated?
ns-958
col : rank | nation | gold | silver | bronze | total row 1 : 1 | venezuela | 5 | 2 | 3 | 10 row 2 : 2 | colombia | 4 | 4 | 9 | 17 row 3 : 3 | dominican republic | 4 | 3 | 4 | 11 row 4 : 4 | peru | 3 | 3 | 8 | 14 row 5 : 5 | ecuador | 2 | 3 | 3 | 8 row 6 : 6 | guatemala | 1 | 1 | 1 | 3 row 7 : 7 | chile | 0 | 3 | 2 | 5 row 8 : 8 | panama | 0 | 0 | 3 | 3 row 9 : 9 | bolivia | 0 | 0 | 1 | 1 row 10 : 9 | paraguay | 0 | 0 | 1 | 1 row 11 : total | total | 19 | 19 | 35 | 73
table_csv/204_922.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 are all the nations?" ]
1
venezuela, colombia, dominican republic, peru, ecuador, guatemala, chile, panama, bolivia, paraguay
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
what are all the nations?
[ [ "1", "Venezuela", "5", "2", "3", "10" ], [ "2", "Colombia", "4", "4", "9", "17" ], [ "3", "Dominican Republic", "4", "3", "4", "11" ], [ "4", "Peru", "3", "3", "8", "14" ], [ "5", "Ecuador", "2", "3", "3", "8" ], [ "6", "Guatemala", "1", "1", "1", "3" ], [ "7", "Chile", "0", "3", "2", "5" ], [ "8", "Panama", "0", "0", "3", "3" ], [ "9", "Bolivia", "0", "0", "1", "1" ], [ "9", "Paraguay", "0", "0", "1", "1" ], [ "Total", "Total", "19", "19", "35", "73" ] ]
[ "Venezuela", "Colombia", "Dominican Republic", "Peru", "Ecuador", "Guatemala", "Chile", "Panama", "Bolivia", "Paraguay" ]
what are all the nations? ||
ns-958
col : rank | nation | gold | silver | bronze | total row 1 : 1 | venezuela | 5 | 2 | 3 | 10 row 2 : 2 | colombia | 4 | 4 | 9 | 17 row 3 : 3 | dominican republic | 4 | 3 | 4 | 11 row 4 : 4 | peru | 3 | 3 | 8 | 14 row 5 : 5 | ecuador | 2 | 3 | 3 | 8 row 6 : 6 | guatemala | 1 | 1 | 1 | 3 row 7 : 7 | chile | 0 | 3 | 2 | 5 row 8 : 8 | panama | 0 | 0 | 3 | 3 row 9 : 9 | bolivia | 0 | 0 | 1 | 1 row 10 : 9 | paraguay | 0 | 0 | 1 | 1 row 11 : total | total | 19 | 19 | 35 | 73
table_csv/204_922.csv
1
{ "column_index": [ 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5 ] }
[ "what are all the nations?", "which won gold medals?" ]
1
venezuela, colombia, dominican republic, peru, ecuador, guatemala
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
which won gold medals?
[ [ "1", "Venezuela", "5", "2", "3", "10" ], [ "2", "Colombia", "4", "4", "9", "17" ], [ "3", "Dominican Republic", "4", "3", "4", "11" ], [ "4", "Peru", "3", "3", "8", "14" ], [ "5", "Ecuador", "2", "3", "3", "8" ], [ "6", "Guatemala", "1", "1", "1", "3" ], [ "7", "Chile", "0", "3", "2", "5" ], [ "8", "Panama", "0", "0", "3", "3" ], [ "9", "Bolivia", "0", "0", "1", "1" ], [ "9", "Paraguay", "0", "0", "1", "1" ], [ "Total", "Total", "19", "19", "35", "73" ] ]
[ "Venezuela", "Colombia", "Dominican Republic", "Peru", "Ecuador", "Guatemala" ]
which won gold medals? || what are all the nations?
ns-958
col : rank | nation | gold | silver | bronze | total row 1 : 1 | venezuela | 5 | 2 | 3 | 10 row 2 : 2 | colombia | 4 | 4 | 9 | 17 row 3 : 3 | dominican republic | 4 | 3 | 4 | 11 row 4 : 4 | peru | 3 | 3 | 8 | 14 row 5 : 5 | ecuador | 2 | 3 | 3 | 8 row 6 : 6 | guatemala | 1 | 1 | 1 | 3 row 7 : 7 | chile | 0 | 3 | 2 | 5 row 8 : 8 | panama | 0 | 0 | 3 | 3 row 9 : 9 | bolivia | 0 | 0 | 1 | 1 row 10 : 9 | paraguay | 0 | 0 | 1 | 1 row 11 : total | total | 19 | 19 | 35 | 73
table_csv/204_922.csv
2
{ "column_index": [ 1 ], "row_index": [ 2 ] }
[ "what are all the nations?", "which won gold medals?", "of those, which won the same number as colombia?" ]
1
dominican republic
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
of those, which won the same number as colombia?
[ [ "1", "Venezuela", "5", "2", "3", "10" ], [ "2", "Colombia", "4", "4", "9", "17" ], [ "3", "Dominican Republic", "4", "3", "4", "11" ], [ "4", "Peru", "3", "3", "8", "14" ], [ "5", "Ecuador", "2", "3", "3", "8" ], [ "6", "Guatemala", "1", "1", "1", "3" ], [ "7", "Chile", "0", "3", "2", "5" ], [ "8", "Panama", "0", "0", "3", "3" ], [ "9", "Bolivia", "0", "0", "1", "1" ], [ "9", "Paraguay", "0", "0", "1", "1" ], [ "Total", "Total", "19", "19", "35", "73" ] ]
[ "Dominican Republic" ]
of those, which won the same number as colombia? || which won gold medals? | what are all the nations?
ns-958
col : rank | nation | gold | silver | bronze | total row 1 : 1 | venezuela | 5 | 2 | 3 | 10 row 2 : 2 | colombia | 4 | 4 | 9 | 17 row 3 : 3 | dominican republic | 4 | 3 | 4 | 11 row 4 : 4 | peru | 3 | 3 | 8 | 14 row 5 : 5 | ecuador | 2 | 3 | 3 | 8 row 6 : 6 | guatemala | 1 | 1 | 1 | 3 row 7 : 7 | chile | 0 | 3 | 2 | 5 row 8 : 8 | panama | 0 | 0 | 3 | 3 row 9 : 9 | bolivia | 0 | 0 | 1 | 1 row 10 : 9 | paraguay | 0 | 0 | 1 | 1 row 11 : total | total | 19 | 19 | 35 | 73
table_csv/204_922.csv
0
{ "column_index": [ 0 ], "row_index": [ 9 ] }
[ "at the 2013 bolivarian games, how many countries participated in the taekwondo event?" ]
2
9
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
at the 2013 bolivarian games, how many countries participated in the taekwondo event?
[ [ "1", "Venezuela", "5", "2", "3", "10" ], [ "2", "Colombia", "4", "4", "9", "17" ], [ "3", "Dominican Republic", "4", "3", "4", "11" ], [ "4", "Peru", "3", "3", "8", "14" ], [ "5", "Ecuador", "2", "3", "3", "8" ], [ "6", "Guatemala", "1", "1", "1", "3" ], [ "7", "Chile", "0", "3", "2", "5" ], [ "8", "Panama", "0", "0", "3", "3" ], [ "9", "Bolivia", "0", "0", "1", "1" ], [ "9", "Paraguay", "0", "0", "1", "1" ], [ "Total", "Total", "19", "19", "35", "73" ] ]
[ "9" ]
at the 2013 bolivarian games, how many countries participated in the taekwondo event? ||
ns-958
col : rank | nation | gold | silver | bronze | total row 1 : 1 | venezuela | 5 | 2 | 3 | 10 row 2 : 2 | colombia | 4 | 4 | 9 | 17 row 3 : 3 | dominican republic | 4 | 3 | 4 | 11 row 4 : 4 | peru | 3 | 3 | 8 | 14 row 5 : 5 | ecuador | 2 | 3 | 3 | 8 row 6 : 6 | guatemala | 1 | 1 | 1 | 3 row 7 : 7 | chile | 0 | 3 | 2 | 5 row 8 : 8 | panama | 0 | 0 | 3 | 3 row 9 : 9 | bolivia | 0 | 0 | 1 | 1 row 10 : 9 | paraguay | 0 | 0 | 1 | 1 row 11 : total | total | 19 | 19 | 35 | 73
table_csv/204_922.csv
1
{ "column_index": [ 1 ], "row_index": [ 8 ] }
[ "at the 2013 bolivarian games, how many countries participated in the taekwondo event?", "who was the host country?" ]
2
bolivia
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
who was the host country?
[ [ "1", "Venezuela", "5", "2", "3", "10" ], [ "2", "Colombia", "4", "4", "9", "17" ], [ "3", "Dominican Republic", "4", "3", "4", "11" ], [ "4", "Peru", "3", "3", "8", "14" ], [ "5", "Ecuador", "2", "3", "3", "8" ], [ "6", "Guatemala", "1", "1", "1", "3" ], [ "7", "Chile", "0", "3", "2", "5" ], [ "8", "Panama", "0", "0", "3", "3" ], [ "9", "Bolivia", "0", "0", "1", "1" ], [ "9", "Paraguay", "0", "0", "1", "1" ], [ "Total", "Total", "19", "19", "35", "73" ] ]
[ "Bolivia" ]
who was the host country? || at the 2013 bolivarian games, how many countries participated in the taekwondo event?
ns-958
col : rank | nation | gold | silver | bronze | total row 1 : 1 | venezuela | 5 | 2 | 3 | 10 row 2 : 2 | colombia | 4 | 4 | 9 | 17 row 3 : 3 | dominican republic | 4 | 3 | 4 | 11 row 4 : 4 | peru | 3 | 3 | 8 | 14 row 5 : 5 | ecuador | 2 | 3 | 3 | 8 row 6 : 6 | guatemala | 1 | 1 | 1 | 3 row 7 : 7 | chile | 0 | 3 | 2 | 5 row 8 : 8 | panama | 0 | 0 | 3 | 3 row 9 : 9 | bolivia | 0 | 0 | 1 | 1 row 10 : 9 | paraguay | 0 | 0 | 1 | 1 row 11 : total | total | 19 | 19 | 35 | 73
table_csv/204_922.csv
2
{ "column_index": [ 4 ], "row_index": [ 9 ] }
[ "at the 2013 bolivarian games, how many countries participated in the taekwondo event?", "who was the host country?", "how many medals did bolivia took home?" ]
2
1
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
how many medals did bolivia took home?
[ [ "1", "Venezuela", "5", "2", "3", "10" ], [ "2", "Colombia", "4", "4", "9", "17" ], [ "3", "Dominican Republic", "4", "3", "4", "11" ], [ "4", "Peru", "3", "3", "8", "14" ], [ "5", "Ecuador", "2", "3", "3", "8" ], [ "6", "Guatemala", "1", "1", "1", "3" ], [ "7", "Chile", "0", "3", "2", "5" ], [ "8", "Panama", "0", "0", "3", "3" ], [ "9", "Bolivia", "0", "0", "1", "1" ], [ "9", "Paraguay", "0", "0", "1", "1" ], [ "Total", "Total", "19", "19", "35", "73" ] ]
[ "1" ]
how many medals did bolivia took home? || who was the host country? | at the 2013 bolivarian games, how many countries participated in the taekwondo event?
ns-958
col : rank | nation | gold | silver | bronze | total row 1 : 1 | venezuela | 5 | 2 | 3 | 10 row 2 : 2 | colombia | 4 | 4 | 9 | 17 row 3 : 3 | dominican republic | 4 | 3 | 4 | 11 row 4 : 4 | peru | 3 | 3 | 8 | 14 row 5 : 5 | ecuador | 2 | 3 | 3 | 8 row 6 : 6 | guatemala | 1 | 1 | 1 | 3 row 7 : 7 | chile | 0 | 3 | 2 | 5 row 8 : 8 | panama | 0 | 0 | 3 | 3 row 9 : 9 | bolivia | 0 | 0 | 1 | 1 row 10 : 9 | paraguay | 0 | 0 | 1 | 1 row 11 : total | total | 19 | 19 | 35 | 73
table_csv/204_922.csv
3
{ "column_index": [ 1 ], "row_index": [ 1 ] }
[ "at the 2013 bolivarian games, how many countries participated in the taekwondo event?", "who was the host country?", "how many medals did bolivia took home?", "what country won the most medals in this event?" ]
2
colombia
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
what country won the most medals in this event?
[ [ "1", "Venezuela", "5", "2", "3", "10" ], [ "2", "Colombia", "4", "4", "9", "17" ], [ "3", "Dominican Republic", "4", "3", "4", "11" ], [ "4", "Peru", "3", "3", "8", "14" ], [ "5", "Ecuador", "2", "3", "3", "8" ], [ "6", "Guatemala", "1", "1", "1", "3" ], [ "7", "Chile", "0", "3", "2", "5" ], [ "8", "Panama", "0", "0", "3", "3" ], [ "9", "Bolivia", "0", "0", "1", "1" ], [ "9", "Paraguay", "0", "0", "1", "1" ], [ "Total", "Total", "19", "19", "35", "73" ] ]
[ "Colombia" ]
what country won the most medals in this event? || how many medals did bolivia took home? | who was the host country? | at the 2013 bolivarian games, how many countries participated in the taekwondo event?
ns-958
col : rank | nation | gold | silver | bronze | total row 1 : 1 | venezuela | 5 | 2 | 3 | 10 row 2 : 2 | colombia | 4 | 4 | 9 | 17 row 3 : 3 | dominican republic | 4 | 3 | 4 | 11 row 4 : 4 | peru | 3 | 3 | 8 | 14 row 5 : 5 | ecuador | 2 | 3 | 3 | 8 row 6 : 6 | guatemala | 1 | 1 | 1 | 3 row 7 : 7 | chile | 0 | 3 | 2 | 5 row 8 : 8 | panama | 0 | 0 | 3 | 3 row 9 : 9 | bolivia | 0 | 0 | 1 | 1 row 10 : 9 | paraguay | 0 | 0 | 1 | 1 row 11 : total | total | 19 | 19 | 35 | 73
table_csv/204_922.csv
4
{ "column_index": [ 1 ], "row_index": [ 0 ] }
[ "at the 2013 bolivarian games, how many countries participated in the taekwondo event?", "who was the host country?", "how many medals did bolivia took home?", "what country won the most medals in this event?", "who took the most gold?" ]
2
venezuela
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
who took the most gold?
[ [ "1", "Venezuela", "5", "2", "3", "10" ], [ "2", "Colombia", "4", "4", "9", "17" ], [ "3", "Dominican Republic", "4", "3", "4", "11" ], [ "4", "Peru", "3", "3", "8", "14" ], [ "5", "Ecuador", "2", "3", "3", "8" ], [ "6", "Guatemala", "1", "1", "1", "3" ], [ "7", "Chile", "0", "3", "2", "5" ], [ "8", "Panama", "0", "0", "3", "3" ], [ "9", "Bolivia", "0", "0", "1", "1" ], [ "9", "Paraguay", "0", "0", "1", "1" ], [ "Total", "Total", "19", "19", "35", "73" ] ]
[ "Venezuela" ]
who took the most gold? || what country won the most medals in this event? | how many medals did bolivia took home? | who was the host country? | at the 2013 bolivarian games, how many countries participated in the taekwondo event?
ns-958
col : rank | nation | gold | silver | bronze | total row 1 : 1 | venezuela | 5 | 2 | 3 | 10 row 2 : 2 | colombia | 4 | 4 | 9 | 17 row 3 : 3 | dominican republic | 4 | 3 | 4 | 11 row 4 : 4 | peru | 3 | 3 | 8 | 14 row 5 : 5 | ecuador | 2 | 3 | 3 | 8 row 6 : 6 | guatemala | 1 | 1 | 1 | 3 row 7 : 7 | chile | 0 | 3 | 2 | 5 row 8 : 8 | panama | 0 | 0 | 3 | 3 row 9 : 9 | bolivia | 0 | 0 | 1 | 1 row 10 : 9 | paraguay | 0 | 0 | 1 | 1 row 11 : total | total | 19 | 19 | 35 | 73
table_csv/204_922.csv
5
{ "column_index": [ 1 ], "row_index": [ 9 ] }
[ "at the 2013 bolivarian games, how many countries participated in the taekwondo event?", "who was the host country?", "how many medals did bolivia took home?", "what country won the most medals in this event?", "who took the most gold?", "what country has the least ?" ]
2
paraguay
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
what country has the least ?
[ [ "1", "Venezuela", "5", "2", "3", "10" ], [ "2", "Colombia", "4", "4", "9", "17" ], [ "3", "Dominican Republic", "4", "3", "4", "11" ], [ "4", "Peru", "3", "3", "8", "14" ], [ "5", "Ecuador", "2", "3", "3", "8" ], [ "6", "Guatemala", "1", "1", "1", "3" ], [ "7", "Chile", "0", "3", "2", "5" ], [ "8", "Panama", "0", "0", "3", "3" ], [ "9", "Bolivia", "0", "0", "1", "1" ], [ "9", "Paraguay", "0", "0", "1", "1" ], [ "Total", "Total", "19", "19", "35", "73" ] ]
[ "Paraguay" ]
what country has the least ? || who took the most gold? | what country won the most medals in this event? | how many medals did bolivia took home? | who was the host country? | at the 2013 bolivarian games, how many countries participated in the taekwondo event?
ns-958
col : rank | nation | gold | silver | bronze | total row 1 : 1 | venezuela | 5 | 2 | 3 | 10 row 2 : 2 | colombia | 4 | 4 | 9 | 17 row 3 : 3 | dominican republic | 4 | 3 | 4 | 11 row 4 : 4 | peru | 3 | 3 | 8 | 14 row 5 : 5 | ecuador | 2 | 3 | 3 | 8 row 6 : 6 | guatemala | 1 | 1 | 1 | 3 row 7 : 7 | chile | 0 | 3 | 2 | 5 row 8 : 8 | panama | 0 | 0 | 3 | 3 row 9 : 9 | bolivia | 0 | 0 | 1 | 1 row 10 : 9 | paraguay | 0 | 0 | 1 | 1 row 11 : total | total | 19 | 19 | 35 | 73
table_csv/204_922.csv
6
{ "column_index": [ 1 ], "row_index": [ 1 ] }
[ "at the 2013 bolivarian games, how many countries participated in the taekwondo event?", "who was the host country?", "how many medals did bolivia took home?", "what country won the most medals in this event?", "who took the most gold?", "what country has the least ?", "if venezuela was the champion, what country got the second place?" ]
2
colombia
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
if venezuela was the champion, what country got the second place?
[ [ "1", "Venezuela", "5", "2", "3", "10" ], [ "2", "Colombia", "4", "4", "9", "17" ], [ "3", "Dominican Republic", "4", "3", "4", "11" ], [ "4", "Peru", "3", "3", "8", "14" ], [ "5", "Ecuador", "2", "3", "3", "8" ], [ "6", "Guatemala", "1", "1", "1", "3" ], [ "7", "Chile", "0", "3", "2", "5" ], [ "8", "Panama", "0", "0", "3", "3" ], [ "9", "Bolivia", "0", "0", "1", "1" ], [ "9", "Paraguay", "0", "0", "1", "1" ], [ "Total", "Total", "19", "19", "35", "73" ] ]
[ "Colombia" ]
if venezuela was the champion, what country got the second place? || what country has the least ? | who took the most gold? | what country won the most medals in this event? | how many medals did bolivia took home? | who was the host country? | at the 2013 bolivarian games, how many countries participated in the taekwondo event?
ns-958
col : rank | nation | gold | silver | bronze | total row 1 : 1 | venezuela | 5 | 2 | 3 | 10 row 2 : 2 | colombia | 4 | 4 | 9 | 17 row 3 : 3 | dominican republic | 4 | 3 | 4 | 11 row 4 : 4 | peru | 3 | 3 | 8 | 14 row 5 : 5 | ecuador | 2 | 3 | 3 | 8 row 6 : 6 | guatemala | 1 | 1 | 1 | 3 row 7 : 7 | chile | 0 | 3 | 2 | 5 row 8 : 8 | panama | 0 | 0 | 3 | 3 row 9 : 9 | bolivia | 0 | 0 | 1 | 1 row 10 : 9 | paraguay | 0 | 0 | 1 | 1 row 11 : total | total | 19 | 19 | 35 | 73
table_csv/204_922.csv
7
{ "column_index": [ 1 ], "row_index": [ 2 ] }
[ "at the 2013 bolivarian games, how many countries participated in the taekwondo event?", "who was the host country?", "how many medals did bolivia took home?", "what country won the most medals in this event?", "who took the most gold?", "what country has the least ?", "if venezuela was the champion, what country got the second place?", "who took the third spot in this event?" ]
2
dominican republic
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
who took the third spot in this event?
[ [ "1", "Venezuela", "5", "2", "3", "10" ], [ "2", "Colombia", "4", "4", "9", "17" ], [ "3", "Dominican Republic", "4", "3", "4", "11" ], [ "4", "Peru", "3", "3", "8", "14" ], [ "5", "Ecuador", "2", "3", "3", "8" ], [ "6", "Guatemala", "1", "1", "1", "3" ], [ "7", "Chile", "0", "3", "2", "5" ], [ "8", "Panama", "0", "0", "3", "3" ], [ "9", "Bolivia", "0", "0", "1", "1" ], [ "9", "Paraguay", "0", "0", "1", "1" ], [ "Total", "Total", "19", "19", "35", "73" ] ]
[ "Dominican Republic" ]
who took the third spot in this event? || if venezuela was the champion, what country got the second place? | what country has the least ? | who took the most gold? | what country won the most medals in this event? | how many medals did bolivia took home? | who was the host country? | at the 2013 bolivarian games, how many countries participated in the taekwondo event?
ns-3397
col : rank | nation | gold | silver | bronze | total row 1 : 1 | algeria | 8 | 3 | 0 | 11 row 2 : 2 | tunisia | 4 | 3 | 5 | 12 row 3 : 3 | egypt | 3 | 3 | 3 | 9 row 4 : 4 | cameroon | 1 | 1 | 5 | 7 row 5 : 5 | morocco | 0 | 1 | 5 | 5 row 6 : 6 | south africa | 0 | 1 | 1 | 2 row 7 : 7 | angola | 0 | 1 | 0 | 1 row 8 : 7 | burkina faso | 0 | 1 | 0 | 1 row 9 : 7 | gabon | 0 | 1 | 0 | 1 row 10 : 7 | madagascar | 0 | 1 | 0 | 1 row 11 : 11 | nigeria | 0 | 0 | 3 | 3 row 12 : 12 | senegal | 0 | 0 | 2 | 2 row 13 : 13 | congo republic | 0 | 0 | 1 | 1 row 14 : 13 | ivory coast | 0 | 0 | 1 | 1 row 15 : 13 | guinea | 0 | 0 | 1 | 1 row 16 : 13 | niger | 0 | 0 | 1 | 1
table_csv/204_34.csv
0
{ "column_index": [ 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15 ] }
[ "what are the number of bronze medals received by the teams?" ]
0
0, 5, 3, 5, 5, 1, 0, 0, 0, 0, 3, 2, 1, 1, 1, 1
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
what are the number of bronze medals received by the teams?
[ [ "1", "Algeria", "8", "3", "0", "11" ], [ "2", "Tunisia", "4", "3", "5", "12" ], [ "3", "Egypt", "3", "3", "3", "9" ], [ "4", "Cameroon", "1", "1", "5", "7" ], [ "5", "Morocco", "0", "1", "5", "5" ], [ "6", "South Africa", "0", "1", "1", "2" ], [ "7", "Angola", "0", "1", "0", "1" ], [ "7", "Burkina Faso", "0", "1", "0", "1" ], [ "7", "Gabon", "0", "1", "0", "1" ], [ "7", "Madagascar", "0", "1", "0", "1" ], [ "11", "Nigeria", "0", "0", "3", "3" ], [ "12", "Senegal", "0", "0", "2", "2" ], [ "13", "Congo Republic", "0", "0", "1", "1" ], [ "13", "Ivory Coast", "0", "0", "1", "1" ], [ "13", "Guinea", "0", "0", "1", "1" ], [ "13", "Niger", "0", "0", "1", "1" ] ]
[ "0", "5", "3", "5", "5", "1", "0", "0", "0", "0", "3", "2", "1", "1", "1", "1" ]
what are the number of bronze medals received by the teams? ||
ns-3397
col : rank | nation | gold | silver | bronze | total row 1 : 1 | algeria | 8 | 3 | 0 | 11 row 2 : 2 | tunisia | 4 | 3 | 5 | 12 row 3 : 3 | egypt | 3 | 3 | 3 | 9 row 4 : 4 | cameroon | 1 | 1 | 5 | 7 row 5 : 5 | morocco | 0 | 1 | 5 | 5 row 6 : 6 | south africa | 0 | 1 | 1 | 2 row 7 : 7 | angola | 0 | 1 | 0 | 1 row 8 : 7 | burkina faso | 0 | 1 | 0 | 1 row 9 : 7 | gabon | 0 | 1 | 0 | 1 row 10 : 7 | madagascar | 0 | 1 | 0 | 1 row 11 : 11 | nigeria | 0 | 0 | 3 | 3 row 12 : 12 | senegal | 0 | 0 | 2 | 2 row 13 : 13 | congo republic | 0 | 0 | 1 | 1 row 14 : 13 | ivory coast | 0 | 0 | 1 | 1 row 15 : 13 | guinea | 0 | 0 | 1 | 1 row 16 : 13 | niger | 0 | 0 | 1 | 1
table_csv/204_34.csv
1
{ "column_index": [ 1 ], "row_index": [ 11 ] }
[ "what are the number of bronze medals received by the teams?", "what team received 2 bronze medals?" ]
0
senegal
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
what team received 2 bronze medals?
[ [ "1", "Algeria", "8", "3", "0", "11" ], [ "2", "Tunisia", "4", "3", "5", "12" ], [ "3", "Egypt", "3", "3", "3", "9" ], [ "4", "Cameroon", "1", "1", "5", "7" ], [ "5", "Morocco", "0", "1", "5", "5" ], [ "6", "South Africa", "0", "1", "1", "2" ], [ "7", "Angola", "0", "1", "0", "1" ], [ "7", "Burkina Faso", "0", "1", "0", "1" ], [ "7", "Gabon", "0", "1", "0", "1" ], [ "7", "Madagascar", "0", "1", "0", "1" ], [ "11", "Nigeria", "0", "0", "3", "3" ], [ "12", "Senegal", "0", "0", "2", "2" ], [ "13", "Congo Republic", "0", "0", "1", "1" ], [ "13", "Ivory Coast", "0", "0", "1", "1" ], [ "13", "Guinea", "0", "0", "1", "1" ], [ "13", "Niger", "0", "0", "1", "1" ] ]
[ "Senegal" ]
what team received 2 bronze medals? || what are the number of bronze medals received by the teams?
ns-3397
col : rank | nation | gold | silver | bronze | total row 1 : 1 | algeria | 8 | 3 | 0 | 11 row 2 : 2 | tunisia | 4 | 3 | 5 | 12 row 3 : 3 | egypt | 3 | 3 | 3 | 9 row 4 : 4 | cameroon | 1 | 1 | 5 | 7 row 5 : 5 | morocco | 0 | 1 | 5 | 5 row 6 : 6 | south africa | 0 | 1 | 1 | 2 row 7 : 7 | angola | 0 | 1 | 0 | 1 row 8 : 7 | burkina faso | 0 | 1 | 0 | 1 row 9 : 7 | gabon | 0 | 1 | 0 | 1 row 10 : 7 | madagascar | 0 | 1 | 0 | 1 row 11 : 11 | nigeria | 0 | 0 | 3 | 3 row 12 : 12 | senegal | 0 | 0 | 2 | 2 row 13 : 13 | congo republic | 0 | 0 | 1 | 1 row 14 : 13 | ivory coast | 0 | 0 | 1 | 1 row 15 : 13 | guinea | 0 | 0 | 1 | 1 row 16 : 13 | niger | 0 | 0 | 1 | 1
table_csv/204_34.csv
0
{ "column_index": [ 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 ] }
[ "what are the countries of the 2004 african judo championships?" ]
1
algeria, tunisia, egypt, cameroon, morocco, south africa, angola, burkina faso, gabon, madagascar, nigeria, senegal, congo republic, ivory coast, guinea, niger
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
what are the countries of the 2004 african judo championships?
[ [ "1", "Algeria", "8", "3", "0", "11" ], [ "2", "Tunisia", "4", "3", "5", "12" ], [ "3", "Egypt", "3", "3", "3", "9" ], [ "4", "Cameroon", "1", "1", "5", "7" ], [ "5", "Morocco", "0", "1", "5", "5" ], [ "6", "South Africa", "0", "1", "1", "2" ], [ "7", "Angola", "0", "1", "0", "1" ], [ "7", "Burkina Faso", "0", "1", "0", "1" ], [ "7", "Gabon", "0", "1", "0", "1" ], [ "7", "Madagascar", "0", "1", "0", "1" ], [ "11", "Nigeria", "0", "0", "3", "3" ], [ "12", "Senegal", "0", "0", "2", "2" ], [ "13", "Congo Republic", "0", "0", "1", "1" ], [ "13", "Ivory Coast", "0", "0", "1", "1" ], [ "13", "Guinea", "0", "0", "1", "1" ], [ "13", "Niger", "0", "0", "1", "1" ] ]
[ "Algeria", "Tunisia", "Egypt", "Cameroon", "Morocco", "South Africa", "Angola", "Burkina Faso", "Gabon", "Madagascar", "Nigeria", "Senegal", "Congo Republic", "Ivory Coast", "Guinea", "Niger" ]
what are the countries of the 2004 african judo championships? ||
ns-3397
col : rank | nation | gold | silver | bronze | total row 1 : 1 | algeria | 8 | 3 | 0 | 11 row 2 : 2 | tunisia | 4 | 3 | 5 | 12 row 3 : 3 | egypt | 3 | 3 | 3 | 9 row 4 : 4 | cameroon | 1 | 1 | 5 | 7 row 5 : 5 | morocco | 0 | 1 | 5 | 5 row 6 : 6 | south africa | 0 | 1 | 1 | 2 row 7 : 7 | angola | 0 | 1 | 0 | 1 row 8 : 7 | burkina faso | 0 | 1 | 0 | 1 row 9 : 7 | gabon | 0 | 1 | 0 | 1 row 10 : 7 | madagascar | 0 | 1 | 0 | 1 row 11 : 11 | nigeria | 0 | 0 | 3 | 3 row 12 : 12 | senegal | 0 | 0 | 2 | 2 row 13 : 13 | congo republic | 0 | 0 | 1 | 1 row 14 : 13 | ivory coast | 0 | 0 | 1 | 1 row 15 : 13 | guinea | 0 | 0 | 1 | 1 row 16 : 13 | niger | 0 | 0 | 1 | 1
table_csv/204_34.csv
1
{ "column_index": [ 1 ], "row_index": [ 11 ] }
[ "what are the countries of the 2004 african judo championships?", "which of these received two bronze medals" ]
1
senegal
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
which of these received two bronze medals
[ [ "1", "Algeria", "8", "3", "0", "11" ], [ "2", "Tunisia", "4", "3", "5", "12" ], [ "3", "Egypt", "3", "3", "3", "9" ], [ "4", "Cameroon", "1", "1", "5", "7" ], [ "5", "Morocco", "0", "1", "5", "5" ], [ "6", "South Africa", "0", "1", "1", "2" ], [ "7", "Angola", "0", "1", "0", "1" ], [ "7", "Burkina Faso", "0", "1", "0", "1" ], [ "7", "Gabon", "0", "1", "0", "1" ], [ "7", "Madagascar", "0", "1", "0", "1" ], [ "11", "Nigeria", "0", "0", "3", "3" ], [ "12", "Senegal", "0", "0", "2", "2" ], [ "13", "Congo Republic", "0", "0", "1", "1" ], [ "13", "Ivory Coast", "0", "0", "1", "1" ], [ "13", "Guinea", "0", "0", "1", "1" ], [ "13", "Niger", "0", "0", "1", "1" ] ]
[ "Senegal" ]
which of these received two bronze medals || what are the countries of the 2004 african judo championships?
ns-3397
col : rank | nation | gold | silver | bronze | total row 1 : 1 | algeria | 8 | 3 | 0 | 11 row 2 : 2 | tunisia | 4 | 3 | 5 | 12 row 3 : 3 | egypt | 3 | 3 | 3 | 9 row 4 : 4 | cameroon | 1 | 1 | 5 | 7 row 5 : 5 | morocco | 0 | 1 | 5 | 5 row 6 : 6 | south africa | 0 | 1 | 1 | 2 row 7 : 7 | angola | 0 | 1 | 0 | 1 row 8 : 7 | burkina faso | 0 | 1 | 0 | 1 row 9 : 7 | gabon | 0 | 1 | 0 | 1 row 10 : 7 | madagascar | 0 | 1 | 0 | 1 row 11 : 11 | nigeria | 0 | 0 | 3 | 3 row 12 : 12 | senegal | 0 | 0 | 2 | 2 row 13 : 13 | congo republic | 0 | 0 | 1 | 1 row 14 : 13 | ivory coast | 0 | 0 | 1 | 1 row 15 : 13 | guinea | 0 | 0 | 1 | 1 row 16 : 13 | niger | 0 | 0 | 1 | 1
table_csv/204_34.csv
0
{ "column_index": [ 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 ] }
[ "what are all the nations listed?" ]
2
algeria, tunisia, egypt, cameroon, morocco, south africa, angola, burkina faso, gabon, madagascar, nigeria, senegal, congo republic, ivory coast, guinea, niger
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
what are all the nations listed?
[ [ "1", "Algeria", "8", "3", "0", "11" ], [ "2", "Tunisia", "4", "3", "5", "12" ], [ "3", "Egypt", "3", "3", "3", "9" ], [ "4", "Cameroon", "1", "1", "5", "7" ], [ "5", "Morocco", "0", "1", "5", "5" ], [ "6", "South Africa", "0", "1", "1", "2" ], [ "7", "Angola", "0", "1", "0", "1" ], [ "7", "Burkina Faso", "0", "1", "0", "1" ], [ "7", "Gabon", "0", "1", "0", "1" ], [ "7", "Madagascar", "0", "1", "0", "1" ], [ "11", "Nigeria", "0", "0", "3", "3" ], [ "12", "Senegal", "0", "0", "2", "2" ], [ "13", "Congo Republic", "0", "0", "1", "1" ], [ "13", "Ivory Coast", "0", "0", "1", "1" ], [ "13", "Guinea", "0", "0", "1", "1" ], [ "13", "Niger", "0", "0", "1", "1" ] ]
[ "Algeria", "Tunisia", "Egypt", "Cameroon", "Morocco", "South Africa", "Angola", "Burkina Faso", "Gabon", "Madagascar", "Nigeria", "Senegal", "Congo Republic", "Ivory Coast", "Guinea", "Niger" ]
what are all the nations listed? ||
ns-3397
col : rank | nation | gold | silver | bronze | total row 1 : 1 | algeria | 8 | 3 | 0 | 11 row 2 : 2 | tunisia | 4 | 3 | 5 | 12 row 3 : 3 | egypt | 3 | 3 | 3 | 9 row 4 : 4 | cameroon | 1 | 1 | 5 | 7 row 5 : 5 | morocco | 0 | 1 | 5 | 5 row 6 : 6 | south africa | 0 | 1 | 1 | 2 row 7 : 7 | angola | 0 | 1 | 0 | 1 row 8 : 7 | burkina faso | 0 | 1 | 0 | 1 row 9 : 7 | gabon | 0 | 1 | 0 | 1 row 10 : 7 | madagascar | 0 | 1 | 0 | 1 row 11 : 11 | nigeria | 0 | 0 | 3 | 3 row 12 : 12 | senegal | 0 | 0 | 2 | 2 row 13 : 13 | congo republic | 0 | 0 | 1 | 1 row 14 : 13 | ivory coast | 0 | 0 | 1 | 1 row 15 : 13 | guinea | 0 | 0 | 1 | 1 row 16 : 13 | niger | 0 | 0 | 1 | 1
table_csv/204_34.csv
1
{ "column_index": [ 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15 ] }
[ "what are all the nations listed?", "how many bronze medals did they win?" ]
2
0, 5, 3, 5, 5, 1, 0, 0, 0, 0, 3, 2, 1, 1, 1, 1
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
how many bronze medals did they win?
[ [ "1", "Algeria", "8", "3", "0", "11" ], [ "2", "Tunisia", "4", "3", "5", "12" ], [ "3", "Egypt", "3", "3", "3", "9" ], [ "4", "Cameroon", "1", "1", "5", "7" ], [ "5", "Morocco", "0", "1", "5", "5" ], [ "6", "South Africa", "0", "1", "1", "2" ], [ "7", "Angola", "0", "1", "0", "1" ], [ "7", "Burkina Faso", "0", "1", "0", "1" ], [ "7", "Gabon", "0", "1", "0", "1" ], [ "7", "Madagascar", "0", "1", "0", "1" ], [ "11", "Nigeria", "0", "0", "3", "3" ], [ "12", "Senegal", "0", "0", "2", "2" ], [ "13", "Congo Republic", "0", "0", "1", "1" ], [ "13", "Ivory Coast", "0", "0", "1", "1" ], [ "13", "Guinea", "0", "0", "1", "1" ], [ "13", "Niger", "0", "0", "1", "1" ] ]
[ "0", "5", "3", "5", "5", "1", "0", "0", "0", "0", "3", "2", "1", "1", "1", "1" ]
how many bronze medals did they win? || what are all the nations listed?
ns-3397
col : rank | nation | gold | silver | bronze | total row 1 : 1 | algeria | 8 | 3 | 0 | 11 row 2 : 2 | tunisia | 4 | 3 | 5 | 12 row 3 : 3 | egypt | 3 | 3 | 3 | 9 row 4 : 4 | cameroon | 1 | 1 | 5 | 7 row 5 : 5 | morocco | 0 | 1 | 5 | 5 row 6 : 6 | south africa | 0 | 1 | 1 | 2 row 7 : 7 | angola | 0 | 1 | 0 | 1 row 8 : 7 | burkina faso | 0 | 1 | 0 | 1 row 9 : 7 | gabon | 0 | 1 | 0 | 1 row 10 : 7 | madagascar | 0 | 1 | 0 | 1 row 11 : 11 | nigeria | 0 | 0 | 3 | 3 row 12 : 12 | senegal | 0 | 0 | 2 | 2 row 13 : 13 | congo republic | 0 | 0 | 1 | 1 row 14 : 13 | ivory coast | 0 | 0 | 1 | 1 row 15 : 13 | guinea | 0 | 0 | 1 | 1 row 16 : 13 | niger | 0 | 0 | 1 | 1
table_csv/204_34.csv
2
{ "column_index": [ 1 ], "row_index": [ 11 ] }
[ "what are all the nations listed?", "how many bronze medals did they win?", "and which nation won 2 in bronze?" ]
2
senegal
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
and which nation won 2 in bronze?
[ [ "1", "Algeria", "8", "3", "0", "11" ], [ "2", "Tunisia", "4", "3", "5", "12" ], [ "3", "Egypt", "3", "3", "3", "9" ], [ "4", "Cameroon", "1", "1", "5", "7" ], [ "5", "Morocco", "0", "1", "5", "5" ], [ "6", "South Africa", "0", "1", "1", "2" ], [ "7", "Angola", "0", "1", "0", "1" ], [ "7", "Burkina Faso", "0", "1", "0", "1" ], [ "7", "Gabon", "0", "1", "0", "1" ], [ "7", "Madagascar", "0", "1", "0", "1" ], [ "11", "Nigeria", "0", "0", "3", "3" ], [ "12", "Senegal", "0", "0", "2", "2" ], [ "13", "Congo Republic", "0", "0", "1", "1" ], [ "13", "Ivory Coast", "0", "0", "1", "1" ], [ "13", "Guinea", "0", "0", "1", "1" ], [ "13", "Niger", "0", "0", "1", "1" ] ]
[ "Senegal" ]
and which nation won 2 in bronze? || how many bronze medals did they win? | what are all the nations listed?