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-8287 | col : year | competition | venue | position | notes row 1 : 1995 | world indoor championships | barcelona, spain | 11th | pentathlon row 2 : 1996 | olympic games | atlanta, georgia, usa | 24th | heptathlon row 3 : 1997 | world championships | athens, greece | 16th | heptathlon row 4 : 1998 | european indoor championshi... | table_csv/204_503.csv | 3 | {
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3
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} | [
"what different competitions were held?",
"what were the various venues these competitions were held at?",
"of these, which were held in spain?",
"of the competitions held in spain, which was held in valencia?"
] | 1 | european indoor championships | [
"Year",
"Competition",
"Venue",
"Position",
"Notes"
] | of the competitions held in spain, which was held in valencia? | [
[
"1995",
"World Indoor Championships",
"Barcelona, Spain",
"11th",
"Pentathlon"
],
[
"1996",
"Olympic Games",
"Atlanta, Georgia, USA",
"24th",
"Heptathlon"
],
[
"1997",
"World Championships",
"Athens, Greece",
"16th",
"Heptathlon"
],
[
"19... | [
"European Indoor Championships"
] | of the competitions held in spain, which was held in valencia? || of these, which were held in spain? | what were the various venues these competitions were held at? | what different competitions were held? |
nt-8287 | col : year | competition | venue | position | notes row 1 : 1995 | world indoor championships | barcelona, spain | 11th | pentathlon row 2 : 1996 | olympic games | atlanta, georgia, usa | 24th | heptathlon row 3 : 1997 | world championships | athens, greece | 16th | heptathlon row 4 : 1998 | european indoor championshi... | table_csv/204_503.csv | 0 | {
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} | [
"what competitions are shown?"
] | 2 | world indoor championships, olympic games, world championships, european indoor championships, european championships, olympic games | [
"Year",
"Competition",
"Venue",
"Position",
"Notes"
] | what competitions are shown? | [
[
"1995",
"World Indoor Championships",
"Barcelona, Spain",
"11th",
"Pentathlon"
],
[
"1996",
"Olympic Games",
"Atlanta, Georgia, USA",
"24th",
"Heptathlon"
],
[
"1997",
"World Championships",
"Athens, Greece",
"16th",
"Heptathlon"
],
[
"19... | [
"World Indoor Championships",
"Olympic Games",
"World Championships",
"European Indoor Championships",
"European Championships",
"Olympic Games"
] | what competitions are shown? || |
nt-8287 | col : year | competition | venue | position | notes row 1 : 1995 | world indoor championships | barcelona, spain | 11th | pentathlon row 2 : 1996 | olympic games | atlanta, georgia, usa | 24th | heptathlon row 3 : 1997 | world championships | athens, greece | 16th | heptathlon row 4 : 1998 | european indoor championshi... | table_csv/204_503.csv | 1 | {
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1,
1
],
"row_index": [
3,
4
]
} | [
"what competitions are shown?",
"which of those are european?"
] | 2 | european indoor championships, european championships | [
"Year",
"Competition",
"Venue",
"Position",
"Notes"
] | which of those are european? | [
[
"1995",
"World Indoor Championships",
"Barcelona, Spain",
"11th",
"Pentathlon"
],
[
"1996",
"Olympic Games",
"Atlanta, Georgia, USA",
"24th",
"Heptathlon"
],
[
"1997",
"World Championships",
"Athens, Greece",
"16th",
"Heptathlon"
],
[
"19... | [
"European Indoor Championships",
"European Championships"
] | which of those are european? || what competitions are shown? |
nt-8287 | col : year | competition | venue | position | notes row 1 : 1995 | world indoor championships | barcelona, spain | 11th | pentathlon row 2 : 1996 | olympic games | atlanta, georgia, usa | 24th | heptathlon row 3 : 1997 | world championships | athens, greece | 16th | heptathlon row 4 : 1998 | european indoor championshi... | table_csv/204_503.csv | 2 | {
"column_index": [
1
],
"row_index": [
3
]
} | [
"what competitions are shown?",
"which of those are european?",
"which of those was held in spain?"
] | 2 | european indoor championships | [
"Year",
"Competition",
"Venue",
"Position",
"Notes"
] | which of those was held in spain? | [
[
"1995",
"World Indoor Championships",
"Barcelona, Spain",
"11th",
"Pentathlon"
],
[
"1996",
"Olympic Games",
"Atlanta, Georgia, USA",
"24th",
"Heptathlon"
],
[
"1997",
"World Championships",
"Athens, Greece",
"16th",
"Heptathlon"
],
[
"19... | [
"European Indoor Championships"
] | which of those was held in spain? || which of those are european? | what competitions are shown? |
nt-8284 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | soviet union | 50 | 27 | 22 | 99 row 2 : 2 | united states | 33 | 31 | 30 | 94 row 3 : 3 | east germany (gdr) | 20 | 23 | 23 | 66 row 4 : 4 | west germany (frg) | 13 | 11 | 16 | 40 row 5 : 5 | japan | 13 | 8 | 8 | 29 row 6 : 6 | australia | 8 | 7 | 2 | 17... | table_csv/204_822.csv | 0 | {
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} | [
"what are all of the listed nations?"
] | 0 | soviet union, united states, east germany (gdr), west germany (frg), japan, australia, poland, hungary, bulgaria, italy | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | what are all of the listed nations? | [
[
"1",
"Soviet Union",
"50",
"27",
"22",
"99"
],
[
"2",
"United States",
"33",
"31",
"30",
"94"
],
[
"3",
"East Germany (GDR)",
"20",
"23",
"23",
"66"
],
[
"4",
"West Germany (FRG)",
"13",
"11",
"16",
"40"
... | [
"Soviet Union",
"United States",
"East Germany (GDR)",
"West Germany (FRG)",
"Japan",
"Australia",
"Poland",
"Hungary",
"Bulgaria",
"Italy"
] | what are all of the listed nations? || |
nt-8284 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | soviet union | 50 | 27 | 22 | 99 row 2 : 2 | united states | 33 | 31 | 30 | 94 row 3 : 3 | east germany (gdr) | 20 | 23 | 23 | 66 row 4 : 4 | west germany (frg) | 13 | 11 | 16 | 40 row 5 : 5 | japan | 13 | 8 | 8 | 29 row 6 : 6 | australia | 8 | 7 | 2 | 17... | table_csv/204_822.csv | 1 | {
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} | [
"what are all of the listed nations?",
"how many gold medals did they receive?"
] | 0 | 50, 33, 20, 13, 13, 8, 7, 6, 6, 5 | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | how many gold medals did they receive? | [
[
"1",
"Soviet Union",
"50",
"27",
"22",
"99"
],
[
"2",
"United States",
"33",
"31",
"30",
"94"
],
[
"3",
"East Germany (GDR)",
"20",
"23",
"23",
"66"
],
[
"4",
"West Germany (FRG)",
"13",
"11",
"16",
"40"
... | [
"50",
"33",
"20",
"13",
"13",
"8",
"7",
"6",
"6",
"5"
] | how many gold medals did they receive? || what are all of the listed nations? |
nt-8284 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | soviet union | 50 | 27 | 22 | 99 row 2 : 2 | united states | 33 | 31 | 30 | 94 row 3 : 3 | east germany (gdr) | 20 | 23 | 23 | 66 row 4 : 4 | west germany (frg) | 13 | 11 | 16 | 40 row 5 : 5 | japan | 13 | 8 | 8 | 29 row 6 : 6 | australia | 8 | 7 | 2 | 17... | table_csv/204_822.csv | 2 | {
"column_index": [
1
],
"row_index": [
7
]
} | [
"what are all of the listed nations?",
"how many gold medals did they receive?",
"along with bulgaria, which nation won 6 gold medals?"
] | 0 | hungary | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | along with bulgaria, which nation won 6 gold medals? | [
[
"1",
"Soviet Union",
"50",
"27",
"22",
"99"
],
[
"2",
"United States",
"33",
"31",
"30",
"94"
],
[
"3",
"East Germany (GDR)",
"20",
"23",
"23",
"66"
],
[
"4",
"West Germany (FRG)",
"13",
"11",
"16",
"40"
... | [
"Hungary"
] | along with bulgaria, which nation won 6 gold medals? || how many gold medals did they receive? | what are all of the listed nations? |
nt-8284 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | soviet union | 50 | 27 | 22 | 99 row 2 : 2 | united states | 33 | 31 | 30 | 94 row 3 : 3 | east germany (gdr) | 20 | 23 | 23 | 66 row 4 : 4 | west germany (frg) | 13 | 11 | 16 | 40 row 5 : 5 | japan | 13 | 8 | 8 | 29 row 6 : 6 | australia | 8 | 7 | 2 | 17... | table_csv/204_822.csv | 0 | {
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9
]
} | [
"what nations played in munich?"
] | 1 | soviet union, united states, east germany (gdr), west germany (frg), japan, australia, poland, hungary, bulgaria, italy | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | what nations played in munich? | [
[
"1",
"Soviet Union",
"50",
"27",
"22",
"99"
],
[
"2",
"United States",
"33",
"31",
"30",
"94"
],
[
"3",
"East Germany (GDR)",
"20",
"23",
"23",
"66"
],
[
"4",
"West Germany (FRG)",
"13",
"11",
"16",
"40"
... | [
"Soviet Union",
"United States",
"East Germany (GDR)",
"West Germany (FRG)",
"Japan",
"Australia",
"Poland",
"Hungary",
"Bulgaria",
"Italy"
] | what nations played in munich? || |
nt-8284 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | soviet union | 50 | 27 | 22 | 99 row 2 : 2 | united states | 33 | 31 | 30 | 94 row 3 : 3 | east germany (gdr) | 20 | 23 | 23 | 66 row 4 : 4 | west germany (frg) | 13 | 11 | 16 | 40 row 5 : 5 | japan | 13 | 8 | 8 | 29 row 6 : 6 | australia | 8 | 7 | 2 | 17... | table_csv/204_822.csv | 1 | {
"column_index": [
1,
1
],
"row_index": [
7,
8
]
} | [
"what nations played in munich?",
"which nation scored 6 gold medals?"
] | 1 | hungary, bulgaria | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | which nation scored 6 gold medals? | [
[
"1",
"Soviet Union",
"50",
"27",
"22",
"99"
],
[
"2",
"United States",
"33",
"31",
"30",
"94"
],
[
"3",
"East Germany (GDR)",
"20",
"23",
"23",
"66"
],
[
"4",
"West Germany (FRG)",
"13",
"11",
"16",
"40"
... | [
"Hungary",
"Bulgaria"
] | which nation scored 6 gold medals? || what nations played in munich? |
nt-8284 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | soviet union | 50 | 27 | 22 | 99 row 2 : 2 | united states | 33 | 31 | 30 | 94 row 3 : 3 | east germany (gdr) | 20 | 23 | 23 | 66 row 4 : 4 | west germany (frg) | 13 | 11 | 16 | 40 row 5 : 5 | japan | 13 | 8 | 8 | 29 row 6 : 6 | australia | 8 | 7 | 2 | 17... | table_csv/204_822.csv | 2 | {
"column_index": [
1
],
"row_index": [
7
]
} | [
"what nations played in munich?",
"which nation scored 6 gold medals?",
"other than bulgaria, which nations scored these medals?"
] | 1 | hungary | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | other than bulgaria, which nations scored these medals? | [
[
"1",
"Soviet Union",
"50",
"27",
"22",
"99"
],
[
"2",
"United States",
"33",
"31",
"30",
"94"
],
[
"3",
"East Germany (GDR)",
"20",
"23",
"23",
"66"
],
[
"4",
"West Germany (FRG)",
"13",
"11",
"16",
"40"
... | [
"Hungary"
] | other than bulgaria, which nations scored these medals? || which nation scored 6 gold medals? | what nations played in munich? |
nt-8284 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | soviet union | 50 | 27 | 22 | 99 row 2 : 2 | united states | 33 | 31 | 30 | 94 row 3 : 3 | east germany (gdr) | 20 | 23 | 23 | 66 row 4 : 4 | west germany (frg) | 13 | 11 | 16 | 40 row 5 : 5 | japan | 13 | 8 | 8 | 29 row 6 : 6 | australia | 8 | 7 | 2 | 17... | table_csv/204_822.csv | 0 | {
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1
],
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2,
3,
4,
5,
6,
7,
8,
9
]
} | [
"which countries won gold medals in sports in munich?"
] | 2 | soviet union, united states, east germany (gdr), west germany (frg), japan, australia, poland, hungary, bulgaria, italy | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | which countries won gold medals in sports in munich? | [
[
"1",
"Soviet Union",
"50",
"27",
"22",
"99"
],
[
"2",
"United States",
"33",
"31",
"30",
"94"
],
[
"3",
"East Germany (GDR)",
"20",
"23",
"23",
"66"
],
[
"4",
"West Germany (FRG)",
"13",
"11",
"16",
"40"
... | [
"Soviet Union",
"United States",
"East Germany (GDR)",
"West Germany (FRG)",
"Japan",
"Australia",
"Poland",
"Hungary",
"Bulgaria",
"Italy"
] | which countries won gold medals in sports in munich? || |
nt-8284 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | soviet union | 50 | 27 | 22 | 99 row 2 : 2 | united states | 33 | 31 | 30 | 94 row 3 : 3 | east germany (gdr) | 20 | 23 | 23 | 66 row 4 : 4 | west germany (frg) | 13 | 11 | 16 | 40 row 5 : 5 | japan | 13 | 8 | 8 | 29 row 6 : 6 | australia | 8 | 7 | 2 | 17... | table_csv/204_822.csv | 1 | {
"column_index": [
1,
1
],
"row_index": [
7,
8
]
} | [
"which countries won gold medals in sports in munich?",
"of those countries, which won 6 gold medals?"
] | 2 | hungary, bulgaria | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | of those countries, which won 6 gold medals? | [
[
"1",
"Soviet Union",
"50",
"27",
"22",
"99"
],
[
"2",
"United States",
"33",
"31",
"30",
"94"
],
[
"3",
"East Germany (GDR)",
"20",
"23",
"23",
"66"
],
[
"4",
"West Germany (FRG)",
"13",
"11",
"16",
"40"
... | [
"Hungary",
"Bulgaria"
] | of those countries, which won 6 gold medals? || which countries won gold medals in sports in munich? |
nt-8284 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | soviet union | 50 | 27 | 22 | 99 row 2 : 2 | united states | 33 | 31 | 30 | 94 row 3 : 3 | east germany (gdr) | 20 | 23 | 23 | 66 row 4 : 4 | west germany (frg) | 13 | 11 | 16 | 40 row 5 : 5 | japan | 13 | 8 | 8 | 29 row 6 : 6 | australia | 8 | 7 | 2 | 17... | table_csv/204_822.csv | 2 | {
"column_index": [
1
],
"row_index": [
7
]
} | [
"which countries won gold medals in sports in munich?",
"of those countries, which won 6 gold medals?",
"of those countries that won 6 gold medals, which is not bulgaria?"
] | 2 | hungary | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | of those countries that won 6 gold medals, which is not bulgaria? | [
[
"1",
"Soviet Union",
"50",
"27",
"22",
"99"
],
[
"2",
"United States",
"33",
"31",
"30",
"94"
],
[
"3",
"East Germany (GDR)",
"20",
"23",
"23",
"66"
],
[
"4",
"West Germany (FRG)",
"13",
"11",
"16",
"40"
... | [
"Hungary"
] | of those countries that won 6 gold medals, which is not bulgaria? || of those countries, which won 6 gold medals? | which countries won gold medals in sports in munich? |
nt-4556 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | netherlands | 20 | 9 | 0 | 29 row 2 : 2 | italy | 10 | 15 | 3 | 28 row 3 : 3 | belgium | 1 | 2 | 6 | 9 row 4 : 4 | spain | 1 | 1 | 13 | 15 row 5 : 5 | great britain | 0 | 2 | 0 | 2 row 6 : 6 | germany | 0 | 1 | 7 | 8 row 7 : 7 | greece | 0 | 1 | 0 | 1 row... | table_csv/204_107.csv | 0 | {
"column_index": [
5
],
"row_index": [
8
]
} | [
"does sweden or russia have more medals?"
] | 0 | 2 | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | does sweden or russia have more medals? | [
[
"1",
"Netherlands",
"20",
"9",
"0",
"29"
],
[
"2",
"Italy",
"10",
"15",
"3",
"28"
],
[
"3",
"Belgium",
"1",
"2",
"6",
"9"
],
[
"4",
"Spain",
"1",
"1",
"13",
"15"
],
[
"5",
"Great Britain",
"... | [
"2"
] | does sweden or russia have more medals? || |
nt-4556 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | netherlands | 20 | 9 | 0 | 29 row 2 : 2 | italy | 10 | 15 | 3 | 28 row 3 : 3 | belgium | 1 | 2 | 6 | 9 row 4 : 4 | spain | 1 | 1 | 13 | 15 row 5 : 5 | great britain | 0 | 2 | 0 | 2 row 6 : 6 | germany | 0 | 1 | 7 | 8 row 7 : 7 | greece | 0 | 1 | 0 | 1 row... | table_csv/204_107.csv | 1 | {
"column_index": [
1
],
"row_index": [
8
]
} | [
"does sweden or russia have more medals?",
"who is ranked lower sweden or russia?"
] | 0 | sweden | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | who is ranked lower sweden or russia? | [
[
"1",
"Netherlands",
"20",
"9",
"0",
"29"
],
[
"2",
"Italy",
"10",
"15",
"3",
"28"
],
[
"3",
"Belgium",
"1",
"2",
"6",
"9"
],
[
"4",
"Spain",
"1",
"1",
"13",
"15"
],
[
"5",
"Great Britain",
"... | [
"Sweden"
] | who is ranked lower sweden or russia? || does sweden or russia have more medals? |
nt-4556 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | netherlands | 20 | 9 | 0 | 29 row 2 : 2 | italy | 10 | 15 | 3 | 28 row 3 : 3 | belgium | 1 | 2 | 6 | 9 row 4 : 4 | spain | 1 | 1 | 13 | 15 row 5 : 5 | great britain | 0 | 2 | 0 | 2 row 6 : 6 | germany | 0 | 1 | 7 | 8 row 7 : 7 | greece | 0 | 1 | 0 | 1 row... | table_csv/204_107.csv | 0 | {
"column_index": [
5
],
"row_index": [
8
]
} | [
"how many medals does sweden have?"
] | 1 | 2 | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | how many medals does sweden have? | [
[
"1",
"Netherlands",
"20",
"9",
"0",
"29"
],
[
"2",
"Italy",
"10",
"15",
"3",
"28"
],
[
"3",
"Belgium",
"1",
"2",
"6",
"9"
],
[
"4",
"Spain",
"1",
"1",
"13",
"15"
],
[
"5",
"Great Britain",
"... | [
"2"
] | how many medals does sweden have? || |
nt-4556 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | netherlands | 20 | 9 | 0 | 29 row 2 : 2 | italy | 10 | 15 | 3 | 28 row 3 : 3 | belgium | 1 | 2 | 6 | 9 row 4 : 4 | spain | 1 | 1 | 13 | 15 row 5 : 5 | great britain | 0 | 2 | 0 | 2 row 6 : 6 | germany | 0 | 1 | 7 | 8 row 7 : 7 | greece | 0 | 1 | 0 | 1 row... | table_csv/204_107.csv | 1 | {
"column_index": [
5
],
"row_index": [
7
]
} | [
"how many medals does sweden have?",
"how many medals does russia have?"
] | 1 | 1 | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | how many medals does russia have? | [
[
"1",
"Netherlands",
"20",
"9",
"0",
"29"
],
[
"2",
"Italy",
"10",
"15",
"3",
"28"
],
[
"3",
"Belgium",
"1",
"2",
"6",
"9"
],
[
"4",
"Spain",
"1",
"1",
"13",
"15"
],
[
"5",
"Great Britain",
"... | [
"1"
] | how many medals does russia have? || how many medals does sweden have? |
nt-4556 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | netherlands | 20 | 9 | 0 | 29 row 2 : 2 | italy | 10 | 15 | 3 | 28 row 3 : 3 | belgium | 1 | 2 | 6 | 9 row 4 : 4 | spain | 1 | 1 | 13 | 15 row 5 : 5 | great britain | 0 | 2 | 0 | 2 row 6 : 6 | germany | 0 | 1 | 7 | 8 row 7 : 7 | greece | 0 | 1 | 0 | 1 row... | table_csv/204_107.csv | 2 | {
"column_index": [
1
],
"row_index": [
8
]
} | [
"how many medals does sweden have?",
"how many medals does russia have?",
"between russia and sweden, which has more medals?"
] | 1 | sweden | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | between russia and sweden, which has more medals? | [
[
"1",
"Netherlands",
"20",
"9",
"0",
"29"
],
[
"2",
"Italy",
"10",
"15",
"3",
"28"
],
[
"3",
"Belgium",
"1",
"2",
"6",
"9"
],
[
"4",
"Spain",
"1",
"1",
"13",
"15"
],
[
"5",
"Great Britain",
"... | [
"Sweden"
] | between russia and sweden, which has more medals? || how many medals does russia have? | how many medals does sweden have? |
nt-4556 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | netherlands | 20 | 9 | 0 | 29 row 2 : 2 | italy | 10 | 15 | 3 | 28 row 3 : 3 | belgium | 1 | 2 | 6 | 9 row 4 : 4 | spain | 1 | 1 | 13 | 15 row 5 : 5 | great britain | 0 | 2 | 0 | 2 row 6 : 6 | germany | 0 | 1 | 7 | 8 row 7 : 7 | greece | 0 | 1 | 0 | 1 row... | table_csv/204_107.csv | 0 | {
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1,
1,
1,
1
],
"row_index": [
6,
7,
8,
9
]
} | [
"which countries are ranked 7th or lower?"
] | 2 | greece, russia, sweden, france | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | which countries are ranked 7th or lower? | [
[
"1",
"Netherlands",
"20",
"9",
"0",
"29"
],
[
"2",
"Italy",
"10",
"15",
"3",
"28"
],
[
"3",
"Belgium",
"1",
"2",
"6",
"9"
],
[
"4",
"Spain",
"1",
"1",
"13",
"15"
],
[
"5",
"Great Britain",
"... | [
"Greece",
"Russia",
"Sweden",
"France"
] | which countries are ranked 7th or lower? || |
nt-4556 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | netherlands | 20 | 9 | 0 | 29 row 2 : 2 | italy | 10 | 15 | 3 | 28 row 3 : 3 | belgium | 1 | 2 | 6 | 9 row 4 : 4 | spain | 1 | 1 | 13 | 15 row 5 : 5 | great britain | 0 | 2 | 0 | 2 row 6 : 6 | germany | 0 | 1 | 7 | 8 row 7 : 7 | greece | 0 | 1 | 0 | 1 row... | table_csv/204_107.csv | 1 | {
"column_index": [
1
],
"row_index": [
8
]
} | [
"which countries are ranked 7th or lower?",
"of these, which country has the most medals?"
] | 2 | sweden | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | of these, which country has the most medals? | [
[
"1",
"Netherlands",
"20",
"9",
"0",
"29"
],
[
"2",
"Italy",
"10",
"15",
"3",
"28"
],
[
"3",
"Belgium",
"1",
"2",
"6",
"9"
],
[
"4",
"Spain",
"1",
"1",
"13",
"15"
],
[
"5",
"Great Britain",
"... | [
"Sweden"
] | of these, which country has the most medals? || which countries are ranked 7th or lower? |
nt-4556 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | netherlands | 20 | 9 | 0 | 29 row 2 : 2 | italy | 10 | 15 | 3 | 28 row 3 : 3 | belgium | 1 | 2 | 6 | 9 row 4 : 4 | spain | 1 | 1 | 13 | 15 row 5 : 5 | great britain | 0 | 2 | 0 | 2 row 6 : 6 | germany | 0 | 1 | 7 | 8 row 7 : 7 | greece | 0 | 1 | 0 | 1 row... | table_csv/204_107.csv | 2 | {
"column_index": [
0,
0
],
"row_index": [
7,
8
]
} | [
"which countries are ranked 7th or lower?",
"of these, which country has the most medals?",
"what are the ranks of russia and sweden?"
] | 2 | 7, 9 | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | what are the ranks of russia and sweden? | [
[
"1",
"Netherlands",
"20",
"9",
"0",
"29"
],
[
"2",
"Italy",
"10",
"15",
"3",
"28"
],
[
"3",
"Belgium",
"1",
"2",
"6",
"9"
],
[
"4",
"Spain",
"1",
"1",
"13",
"15"
],
[
"5",
"Great Britain",
"... | [
"7",
"9"
] | what are the ranks of russia and sweden? || of these, which country has the most medals? | which countries are ranked 7th or lower? |
nt-4556 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | netherlands | 20 | 9 | 0 | 29 row 2 : 2 | italy | 10 | 15 | 3 | 28 row 3 : 3 | belgium | 1 | 2 | 6 | 9 row 4 : 4 | spain | 1 | 1 | 13 | 15 row 5 : 5 | great britain | 0 | 2 | 0 | 2 row 6 : 6 | germany | 0 | 1 | 7 | 8 row 7 : 7 | greece | 0 | 1 | 0 | 1 row... | table_csv/204_107.csv | 3 | {
"column_index": [
1
],
"row_index": [
8
]
} | [
"which countries are ranked 7th or lower?",
"of these, which country has the most medals?",
"what are the ranks of russia and sweden?",
"which of these countries has the lower rank?"
] | 2 | sweden | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | which of these countries has the lower rank? | [
[
"1",
"Netherlands",
"20",
"9",
"0",
"29"
],
[
"2",
"Italy",
"10",
"15",
"3",
"28"
],
[
"3",
"Belgium",
"1",
"2",
"6",
"9"
],
[
"4",
"Spain",
"1",
"1",
"13",
"15"
],
[
"5",
"Great Britain",
"... | [
"Sweden"
] | which of these countries has the lower rank? || what are the ranks of russia and sweden? | of these, which country has the most medals? | which countries are ranked 7th or lower? |
nt-1392 | col : rank | urban area | population (2001 census) | area (km2) | density (people/km2) | major subdivisions | metropolitan area row 1 : 1 | greater glasgow | 1,168,270 | 368.47 | 3,171.0 | glasgow, paisley, coatbridge, clydebank, mother | glasgow row 2 : 2 | edinburgh | 452,194 | 120.11 | 3,765.0 | edinburgh, musselbur... | table_csv/203_74.csv | 0 | {
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1,
1,
1,
1,
1,
1,
1,
1,
1
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9
]
} | [
"what are the names of each urban area in the united kingdom?"
] | 0 | greater glasgow, edinburgh, aberdeen, dundee, falkirk, east kilbride, greenock, blantyre/hamilton, ayr/prestwick, livingston | [
"Rank",
"Urban Area",
"Population (2001 Census)",
"Area (km2)",
"Density (People/km2)",
"Major subdivisions",
"Metropolitan Area"
] | what are the names of each urban area in the united kingdom? | [
[
"1",
"Greater Glasgow",
"1,168,270",
"368.47",
"3,171.0",
"Glasgow, Paisley, Coatbridge, Clydebank, Mother",
"Glasgow"
],
[
"2",
"Edinburgh",
"452,194",
"120.11",
"3,765.0",
"Edinburgh, Musselburgh",
"Edinburgh"
],
[
"3",
"Aberdeen",
"197... | [
"Greater Glasgow",
"Edinburgh",
"Aberdeen",
"Dundee",
"Falkirk",
"East Kilbride",
"Greenock",
"Blantyre/Hamilton",
"Ayr/Prestwick",
"Livingston"
] | what are the names of each urban area in the united kingdom? || |
nt-1392 | col : rank | urban area | population (2001 census) | area (km2) | density (people/km2) | major subdivisions | metropolitan area row 1 : 1 | greater glasgow | 1,168,270 | 368.47 | 3,171.0 | glasgow, paisley, coatbridge, clydebank, mother | glasgow row 2 : 2 | edinburgh | 452,194 | 120.11 | 3,765.0 | edinburgh, musselbur... | table_csv/203_74.csv | 1 | {
"column_index": [
1
],
"row_index": [
9
]
} | [
"what are the names of each urban area in the united kingdom?",
"of those, which has the smallest population density?"
] | 0 | livingston | [
"Rank",
"Urban Area",
"Population (2001 Census)",
"Area (km2)",
"Density (People/km2)",
"Major subdivisions",
"Metropolitan Area"
] | of those, which has the smallest population density? | [
[
"1",
"Greater Glasgow",
"1,168,270",
"368.47",
"3,171.0",
"Glasgow, Paisley, Coatbridge, Clydebank, Mother",
"Glasgow"
],
[
"2",
"Edinburgh",
"452,194",
"120.11",
"3,765.0",
"Edinburgh, Musselburgh",
"Edinburgh"
],
[
"3",
"Aberdeen",
"197... | [
"Livingston"
] | of those, which has the smallest population density? || what are the names of each urban area in the united kingdom? |
nt-1392 | col : rank | urban area | population (2001 census) | area (km2) | density (people/km2) | major subdivisions | metropolitan area row 1 : 1 | greater glasgow | 1,168,270 | 368.47 | 3,171.0 | glasgow, paisley, coatbridge, clydebank, mother | glasgow row 2 : 2 | edinburgh | 452,194 | 120.11 | 3,765.0 | edinburgh, musselbur... | table_csv/203_74.csv | 0 | {
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4,
4,
4,
4,
4,
4,
4,
4,
4,
4
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9
]
} | [
"what were all the population density's of the different urban areas per square km?"
] | 1 | 3,171.0, 3,765.0, 3,238, 3,298, 2,532, 3,060, 3,557, 2,911, 2,604, 2,283 | [
"Rank",
"Urban Area",
"Population (2001 Census)",
"Area (km2)",
"Density (People/km2)",
"Major subdivisions",
"Metropolitan Area"
] | what were all the population density's of the different urban areas per square km? | [
[
"1",
"Greater Glasgow",
"1,168,270",
"368.47",
"3,171.0",
"Glasgow, Paisley, Coatbridge, Clydebank, Mother",
"Glasgow"
],
[
"2",
"Edinburgh",
"452,194",
"120.11",
"3,765.0",
"Edinburgh, Musselburgh",
"Edinburgh"
],
[
"3",
"Aberdeen",
"197... | [
"3,171.0",
"3,765.0",
"3,238",
"3,298",
"2,532",
"3,060",
"3,557",
"2,911",
"2,604",
"2,283"
] | what were all the population density's of the different urban areas per square km? || |
nt-1392 | col : rank | urban area | population (2001 census) | area (km2) | density (people/km2) | major subdivisions | metropolitan area row 1 : 1 | greater glasgow | 1,168,270 | 368.47 | 3,171.0 | glasgow, paisley, coatbridge, clydebank, mother | glasgow row 2 : 2 | edinburgh | 452,194 | 120.11 | 3,765.0 | edinburgh, musselbur... | table_csv/203_74.csv | 1 | {
"column_index": [
4
],
"row_index": [
9
]
} | [
"what were all the population density's of the different urban areas per square km?",
"what was the lowest population density?"
] | 1 | 2,283 | [
"Rank",
"Urban Area",
"Population (2001 Census)",
"Area (km2)",
"Density (People/km2)",
"Major subdivisions",
"Metropolitan Area"
] | what was the lowest population density? | [
[
"1",
"Greater Glasgow",
"1,168,270",
"368.47",
"3,171.0",
"Glasgow, Paisley, Coatbridge, Clydebank, Mother",
"Glasgow"
],
[
"2",
"Edinburgh",
"452,194",
"120.11",
"3,765.0",
"Edinburgh, Musselburgh",
"Edinburgh"
],
[
"3",
"Aberdeen",
"197... | [
"2,283"
] | what was the lowest population density? || what were all the population density's of the different urban areas per square km? |
nt-1392 | col : rank | urban area | population (2001 census) | area (km2) | density (people/km2) | major subdivisions | metropolitan area row 1 : 1 | greater glasgow | 1,168,270 | 368.47 | 3,171.0 | glasgow, paisley, coatbridge, clydebank, mother | glasgow row 2 : 2 | edinburgh | 452,194 | 120.11 | 3,765.0 | edinburgh, musselbur... | table_csv/203_74.csv | 2 | {
"column_index": [
1
],
"row_index": [
9
]
} | [
"what were all the population density's of the different urban areas per square km?",
"what was the lowest population density?",
"what city was this population density for?"
] | 1 | livingston | [
"Rank",
"Urban Area",
"Population (2001 Census)",
"Area (km2)",
"Density (People/km2)",
"Major subdivisions",
"Metropolitan Area"
] | what city was this population density for? | [
[
"1",
"Greater Glasgow",
"1,168,270",
"368.47",
"3,171.0",
"Glasgow, Paisley, Coatbridge, Clydebank, Mother",
"Glasgow"
],
[
"2",
"Edinburgh",
"452,194",
"120.11",
"3,765.0",
"Edinburgh, Musselburgh",
"Edinburgh"
],
[
"3",
"Aberdeen",
"197... | [
"Livingston"
] | what city was this population density for? || what was the lowest population density? | what were all the population density's of the different urban areas per square km? |
nt-1392 | col : rank | urban area | population (2001 census) | area (km2) | density (people/km2) | major subdivisions | metropolitan area row 1 : 1 | greater glasgow | 1,168,270 | 368.47 | 3,171.0 | glasgow, paisley, coatbridge, clydebank, mother | glasgow row 2 : 2 | edinburgh | 452,194 | 120.11 | 3,765.0 | edinburgh, musselbur... | table_csv/203_74.csv | 0 | {
"column_index": [
3
],
"row_index": [
9
]
} | [
"in the uk, what is the least amount of people listed in a city per square km?"
] | 2 | 26.07 | [
"Rank",
"Urban Area",
"Population (2001 Census)",
"Area (km2)",
"Density (People/km2)",
"Major subdivisions",
"Metropolitan Area"
] | in the uk, what is the least amount of people listed in a city per square km? | [
[
"1",
"Greater Glasgow",
"1,168,270",
"368.47",
"3,171.0",
"Glasgow, Paisley, Coatbridge, Clydebank, Mother",
"Glasgow"
],
[
"2",
"Edinburgh",
"452,194",
"120.11",
"3,765.0",
"Edinburgh, Musselburgh",
"Edinburgh"
],
[
"3",
"Aberdeen",
"197... | [
"26.07"
] | in the uk, what is the least amount of people listed in a city per square km? || |
nt-1392 | col : rank | urban area | population (2001 census) | area (km2) | density (people/km2) | major subdivisions | metropolitan area row 1 : 1 | greater glasgow | 1,168,270 | 368.47 | 3,171.0 | glasgow, paisley, coatbridge, clydebank, mother | glasgow row 2 : 2 | edinburgh | 452,194 | 120.11 | 3,765.0 | edinburgh, musselbur... | table_csv/203_74.csv | 1 | {
"column_index": [
1
],
"row_index": [
9
]
} | [
"in the uk, what is the least amount of people listed in a city per square km?",
"what city has 26.07 people per square km?"
] | 2 | livingston | [
"Rank",
"Urban Area",
"Population (2001 Census)",
"Area (km2)",
"Density (People/km2)",
"Major subdivisions",
"Metropolitan Area"
] | what city has 26.07 people per square km? | [
[
"1",
"Greater Glasgow",
"1,168,270",
"368.47",
"3,171.0",
"Glasgow, Paisley, Coatbridge, Clydebank, Mother",
"Glasgow"
],
[
"2",
"Edinburgh",
"452,194",
"120.11",
"3,765.0",
"Edinburgh, Musselburgh",
"Edinburgh"
],
[
"3",
"Aberdeen",
"197... | [
"Livingston"
] | what city has 26.07 people per square km? || in the uk, what is the least amount of people listed in a city per square km? |
nt-1396 | 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 : ... | table_csv/203_212.csv | 0 | {
"column_index": [
1
],
"row_index": [
4
]
} | [
"what city has 12,599 people?"
] | 0 | dennery | [
"#",
"District",
"Land area (km2)",
"Population (2010 census)",
"Density (persons/km2)"
] | what city has 12,599 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",
... | [
"Dennery"
] | what city has 12,599 people? || |
nt-1396 | 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 : ... | table_csv/203_212.csv | 1 | {
"column_index": [
3
],
"row_index": [
5
]
} | [
"what city has 12,599 people?",
"how many people live in forrest reserve?"
] | 0 | 0 | [
"#",
"District",
"Land area (km2)",
"Population (2010 census)",
"Density (persons/km2)"
] | how many people live in forrest reserve? | [
[
"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",
... | [
"0"
] | how many people live in forrest reserve? || what city has 12,599 people? |
nt-1396 | 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 : ... | table_csv/203_212.csv | 2 | {
"column_index": [
3
],
"row_index": [
4
]
} | [
"what city has 12,599 people?",
"how many people live in forrest reserve?",
"what is the difference in population between the two places?"
] | 0 | 12,599 | [
"#",
"District",
"Land area (km2)",
"Population (2010 census)",
"Density (persons/km2)"
] | what is the difference in population between the two places? | [
[
"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",
... | [
"12,599"
] | what is the difference in population between the two places? || how many people live in forrest reserve? | what city has 12,599 people? |
nt-1396 | 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 : ... | table_csv/203_212.csv | 0 | {
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3,
3,
3,
3,
3,
3,
3
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0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11
]
} | [
"what are all the populations listed"
] | 1 | 6,247, 2,044, 65,656, 6,098, 12,599, 0, 25,210, 6,701, 16,284, 8,472, 16,284, 165,595 | [
"#",
"District",
"Land area (km2)",
"Population (2010 census)",
"Density (persons/km2)"
] | what are all the populations listed | [
[
"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",
... | [
"6,247",
"2,044",
"65,656",
"6,098",
"12,599",
"0",
"25,210",
"6,701",
"16,284",
"8,472",
"16,284",
"165,595"
] | what are all the populations listed || |
nt-1396 | 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 : ... | table_csv/203_212.csv | 1 | {
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"what are all the populations listed",
"what are the populations for the forest reserve and dennery?"
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nt-1396 | 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 : ... | table_csv/203_212.csv | 2 | {
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"what are all the populations listed",
"what are the populations for the forest reserve and dennery?",
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"12,599"
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nt-1396 | 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 : ... | table_csv/203_212.csv | 0 | {
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"what is the population of the forest reserve?"
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nt-1396 | 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 : ... | table_csv/203_212.csv | 1 | {
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"what is the population of the forest reserve?",
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"12,599"
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nt-5558 | col : round | date | score | opponent | opponent's score | result | venue | attendance | best on ground | team row 1 : 1 | saturday, 2 april 2:10pm | 14.20 (104) | richmond | 11.17 (83) | won by 21 points | kardinia park (stadium) | 20,781 | alex ishchenko | west coast row 2 : 2 | friday, 8 april 7:40pm | 26.19 (175) |... | table_csv/204_881.csv | 0 | {
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"on what date were there over 40,000 in attendance?"
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] | on what date were there over 40,000 in attendance? || |
nt-5558 | col : round | date | score | opponent | opponent's score | result | venue | attendance | best on ground | team row 1 : 1 | saturday, 2 april 2:10pm | 14.20 (104) | richmond | 11.17 (83) | won by 21 points | kardinia park (stadium) | 20,781 | alex ishchenko | west coast row 2 : 3 | sunday, 17 april 2:10pm | 29.18 (192) ... | table_csv/204_881.csv | 1 | {
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nt-5558 | col : round | date | score | opponent | opponent's score | result | venue | attendance | best on ground | team row 1 : 1 | saturday, 2 april 2:10pm | 14.20 (104) | richmond | 11.17 (83) | won by 21 points | kardinia park (stadium) | 20,781 | alex ishchenko | west coast row 2 : 3 | sunday, 17 april 2:10pm | 29.18 (192) ... | table_csv/204_881.csv | 0 | {
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nt-5558 | col : round | date | score | opponent | opponent's score | result | venue | attendance | best on ground | team row 1 : 2 | friday, 8 april 7:40pm | 26.19 (175) | essendon | 11.10 (76) | won by 99 points | waca ground | 24,886 | john gastev | west coast row 2 : 3 | sunday, 17 april 2:10pm | 29.18 (192) | brisbane bears ... | table_csv/204_881.csv | 1 | {
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nt-5558 | col : round | date | score | opponent | opponent's score | result | venue | attendance | best on ground | team row 1 : 1 | saturday, 2 april 2:10pm | 14.20 (104) | richmond | 11.17 (83) | won by 21 points | kardinia park (stadium) | 20,781 | alex ishchenko | west coast row 2 : 2 | friday, 8 april 7:40pm | 26.19 (175) |... | table_csv/204_881.csv | 2 | {
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nt-5558 | col : round | date | score | opponent | opponent's score | result | venue | attendance | best on ground | team row 1 : 1 | saturday, 2 april 2:10pm | 14.20 (104) | richmond | 11.17 (83) | won by 21 points | kardinia park (stadium) | 20,781 | alex ishchenko | west coast row 2 : 2 | friday, 8 april 7:40pm | 26.19 (175) |... | table_csv/204_881.csv | 0 | {
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"what were all of the rounds during the 1988 west coast eagles season?"
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nt-5558 | col : round | date | score | opponent | opponent's score | result | venue | attendance | best on ground | team row 1 : 1 | saturday, 2 april 2:10pm | 14.20 (104) | richmond | 11.17 (83) | won by 21 points | kardinia park (stadium) | 20,781 | alex ishchenko | west coast row 2 : 2 | friday, 8 april 7:40pm | 26.19 (175) |... | table_csv/204_881.csv | 1 | {
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nt-5558 | col : round | date | score | opponent | opponent's score | result | venue | attendance | best on ground | team row 1 : 1 | saturday, 2 april 2:10pm | 14.20 (104) | richmond | 11.17 (83) | won by 21 points | kardinia park (stadium) | 20,781 | alex ishchenko | west coast row 2 : 2 | friday, 8 april 7:40pm | 26.19 (175) |... | table_csv/204_881.csv | 2 | {
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"what were all of the rounds during the 1988 west coast eagles season?",
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nt-3076 | col : award | category | recipients and nominees | result row 1 : 71st academy awards | best original screenplay | warren beatty and jeremy pikser | nominated row 2 : 56th golden globe awards | best screenplay | warren beatty and jeremy pikser | nominated row 3 : 56th golden globe awards | best picture | bulworth | nom... | table_csv/202_75.csv | 0 | {
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"who were the recipients and nominees from bulworth?"
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nt-3076 | col : award | category | recipients and nominees | result row 1 : 71st academy awards | best original screenplay | warren beatty and jeremy pikser | nominated row 2 : 56th golden globe awards | best screenplay | warren beatty and jeremy pikser | nominated row 3 : 56th golden globe awards | best picture | bulworth | nom... | table_csv/202_75.csv | 1 | {
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"Best Screenplay",
"Best Screenplay",
"Best Screenplay (1998)",
"Best Film",
"Outstanding Actress",
"Outstanding Supporting Actor",
"100 Years...100 Laughs"
] | under which categories was bulworth considered? || who were the recipients and nominees from bulworth? |
nt-3076 | col : award | category | recipients and nominees | result row 1 : 71st academy awards | best original screenplay | warren beatty and jeremy pikser | nominated row 2 : 56th golden globe awards | best screenplay | warren beatty and jeremy pikser | nominated row 3 : 56th golden globe awards | best picture | bulworth | nom... | table_csv/202_75.csv | 2 | {
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"and what were the results of each category?"
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nt-3076 | col : award | category | recipients and nominees | result row 1 : 71st academy awards | best original screenplay | warren beatty and jeremy pikser | nominated row 2 : 56th golden globe awards | best screenplay | warren beatty and jeremy pikser | nominated row 3 : 56th golden globe awards | best picture | bulworth | nom... | table_csv/202_75.csv | 3 | {
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} | [
"who were the recipients and nominees from bulworth?",
"under which categories was bulworth considered?",
"and what were the results of each category?",
"of those results, for which did both warren beatty and jeremy pikser\twin?"
] | 0 | best screenplay (1998) | [
"Award",
"Category",
"Recipients and nominees",
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] | of those results, for which did both warren beatty and jeremy pikser win? | [
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[
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"Warren Beatty and Jeremy Pikser",
"Nominated"
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[
"56th Golden Globe Awards",
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... | [
"Best Screenplay (1998)"
] | of those results, for which did both warren beatty and jeremy pikser win? || and what were the results of each category? | under which categories was bulworth considered? | who were the recipients and nominees from bulworth? |
nt-3076 | col : award | category | recipients and nominees | result row 1 : 71st academy awards | best original screenplay | warren beatty and jeremy pikser | nominated row 2 : 56th golden globe awards | best screenplay | warren beatty and jeremy pikser | nominated row 3 : 56th golden globe awards | best picture | bulworth | nom... | table_csv/202_75.csv | 0 | {
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} | [
"which categories did warren beatty or jeremy pikser compete in?"
] | 1 | best original screenplay, best screenplay, best actor, best actor, best screenplay, best screenplay, best screenplay (1998) | [
"Award",
"Category",
"Recipients and nominees",
"Result"
] | which categories did warren beatty or jeremy pikser compete in? | [
[
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"Nominated"
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[
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"Warren Beatty and Jeremy Pikser",
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[
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... | [
"Best Original Screenplay",
"Best Screenplay",
"Best Actor",
"Best Actor",
"Best Screenplay",
"Best Screenplay",
"Best Screenplay (1998)"
] | which categories did warren beatty or jeremy pikser compete in? || |
nt-3076 | col : award | category | recipients and nominees | result row 1 : 71st academy awards | best original screenplay | warren beatty and jeremy pikser | nominated row 2 : 56th golden globe awards | best screenplay | warren beatty and jeremy pikser | nominated row 3 : 56th golden globe awards | best picture | bulworth | nom... | table_csv/202_75.csv | 1 | {
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} | [
"which categories did warren beatty or jeremy pikser compete in?",
"of those, in which ones did they compete together?"
] | 1 | best original screenplay, best screenplay, best screenplay, best screenplay, best screenplay (1998) | [
"Award",
"Category",
"Recipients and nominees",
"Result"
] | of those, in which ones did they compete together? | [
[
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"Best Original Screenplay",
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[
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[
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"Bulworth",
... | [
"Best Original Screenplay",
"Best Screenplay",
"Best Screenplay",
"Best Screenplay",
"Best Screenplay (1998)"
] | of those, in which ones did they compete together? || which categories did warren beatty or jeremy pikser compete in? |
nt-3076 | col : award | category | recipients and nominees | result row 1 : 71st academy awards | best original screenplay | warren beatty and jeremy pikser | nominated row 2 : 56th golden globe awards | best screenplay | warren beatty and jeremy pikser | nominated row 3 : 56th golden globe awards | best picture | bulworth | nom... | table_csv/202_75.csv | 2 | {
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} | [
"which categories did warren beatty or jeremy pikser compete in?",
"of those, in which ones did they compete together?",
"which one did they win?"
] | 1 | best screenplay (1998) | [
"Award",
"Category",
"Recipients and nominees",
"Result"
] | which one did they win? | [
[
"71st Academy Awards",
"Best Original Screenplay",
"Warren Beatty and Jeremy Pikser",
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[
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"Best Screenplay",
"Warren Beatty and Jeremy Pikser",
"Nominated"
],
[
"56th Golden Globe Awards",
"Best Picture",
"Bulworth",
... | [
"Best Screenplay (1998)"
] | which one did they win? || of those, in which ones did they compete together? | which categories did warren beatty or jeremy pikser compete in? |
nt-3076 | col : award | category | recipients and nominees | result row 1 : 71st academy awards | best original screenplay | warren beatty and jeremy pikser | nominated row 2 : 56th golden globe awards | best screenplay | warren beatty and jeremy pikser | nominated row 3 : 56th golden globe awards | best picture | bulworth | nom... | table_csv/202_75.csv | 0 | {
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} | [
"what category has the word best in it?"
] | 2 | best original screenplay, best screenplay, best picture, best actor, best actor, best screenplay, best screenplay, best screenplay (1998), best film | [
"Award",
"Category",
"Recipients and nominees",
"Result"
] | what category has the word best in it? | [
[
"71st Academy Awards",
"Best Original Screenplay",
"Warren Beatty and Jeremy Pikser",
"Nominated"
],
[
"56th Golden Globe Awards",
"Best Screenplay",
"Warren Beatty and Jeremy Pikser",
"Nominated"
],
[
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"Best Picture",
"Bulworth",
... | [
"Best Original Screenplay",
"Best Screenplay",
"Best Picture",
"Best Actor",
"Best Actor",
"Best Screenplay",
"Best Screenplay",
"Best Screenplay (1998)",
"Best Film"
] | what category has the word best in it? || |
nt-3076 | col : award | category | recipients and nominees | result row 1 : 71st academy awards | best original screenplay | warren beatty and jeremy pikser | nominated row 2 : 56th golden globe awards | best screenplay | warren beatty and jeremy pikser | nominated row 3 : 56th golden globe awards | best picture | bulworth | nom... | table_csv/202_75.csv | 1 | {
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} | [
"what category has the word best in it?",
"of those categories who had warren beatty and jeremy pikser as the recipients and nominees?"
] | 2 | best original screenplay, best screenplay, best screenplay, best screenplay, best screenplay (1998) | [
"Award",
"Category",
"Recipients and nominees",
"Result"
] | of those categories who had warren beatty and jeremy pikser as the recipients and nominees? | [
[
"71st Academy Awards",
"Best Original Screenplay",
"Warren Beatty and Jeremy Pikser",
"Nominated"
],
[
"56th Golden Globe Awards",
"Best Screenplay",
"Warren Beatty and Jeremy Pikser",
"Nominated"
],
[
"56th Golden Globe Awards",
"Best Picture",
"Bulworth",
... | [
"Best Original Screenplay",
"Best Screenplay",
"Best Screenplay",
"Best Screenplay",
"Best Screenplay (1998)"
] | of those categories who had warren beatty and jeremy pikser as the recipients and nominees? || what category has the word best in it? |
nt-3076 | col : award | category | recipients and nominees | result row 1 : 71st academy awards | best original screenplay | warren beatty and jeremy pikser | nominated row 2 : 56th golden globe awards | best screenplay | warren beatty and jeremy pikser | nominated row 3 : 56th golden globe awards | best picture | bulworth | nom... | table_csv/202_75.csv | 2 | {
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} | [
"what category has the word best in it?",
"of those categories who had warren beatty and jeremy pikser as the recipients and nominees?",
"of those categories who had a win as a result?"
] | 2 | best screenplay (1998) | [
"Award",
"Category",
"Recipients and nominees",
"Result"
] | of those categories who had a win as a result? | [
[
"71st Academy Awards",
"Best Original Screenplay",
"Warren Beatty and Jeremy Pikser",
"Nominated"
],
[
"56th Golden Globe Awards",
"Best Screenplay",
"Warren Beatty and Jeremy Pikser",
"Nominated"
],
[
"56th Golden Globe Awards",
"Best Picture",
"Bulworth",
... | [
"Best Screenplay (1998)"
] | of those categories who had a win as a result? || of those categories who had warren beatty and jeremy pikser as the recipients and nominees? | what category has the word best in it? |
ns-21 | col : name | hanzi | population (2005) | area (km2) row 1 : qingxi | qing xi zhen | 20,000 | 2.9 row 2 : ruyi | ru yi zhen | 15,100 | 33.85 row 3 : yintian | yin tian zhen | 19,500 | 28.0 row 4 : daping | da ping xiang | 14,300 | 32.0 row 5 : yongyi | yong yi xiang | 10,600 | 24.0 row 6 : shaoshan | shao shan xiang | 1... | table_csv/204_891.csv | 0 | {
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"what are the listed names?"
] | 0 | qingxi, ruyi, yintian, daping, yongyi, shaoshan, yanglin | [
"Name",
"Hanzi",
"Population (2005)",
"Area (Km2)"
] | what are the listed names? | [
[
"Qingxi",
"Qing Xi Zhen",
"20,000",
"2.9"
],
[
"Ruyi",
"Ru Yi Zhen",
"15,100",
"33.85"
],
[
"Yintian",
"Yin Tian Zhen",
"19,500",
"28.0"
],
[
"Daping",
"Da Ping Xiang",
"14,300",
"32.0"
],
[
"Yongyi",
"Yong Yi Xiang",
"10,... | [
"Qingxi",
"Ruyi",
"Yintian",
"Daping",
"Yongyi",
"Shaoshan",
"Yanglin"
] | what are the listed names? || |
ns-21 | col : name | hanzi | population (2005) | area (km2) row 1 : qingxi | qing xi zhen | 20,000 | 2.9 row 2 : ruyi | ru yi zhen | 15,100 | 33.85 row 3 : yintian | yin tian zhen | 19,500 | 28.0 row 4 : daping | da ping xiang | 14,300 | 32.0 row 5 : yongyi | yong yi xiang | 10,600 | 24.0 row 6 : shaoshan | shao shan xiang | 1... | table_csv/204_891.csv | 1 | {
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} | [
"what are the listed names?",
"which are ruyi or shaoshan?"
] | 0 | ruyi, shaoshan | [
"Name",
"Hanzi",
"Population (2005)",
"Area (Km2)"
] | which are ruyi or shaoshan? | [
[
"Qingxi",
"Qing Xi Zhen",
"20,000",
"2.9"
],
[
"Ruyi",
"Ru Yi Zhen",
"15,100",
"33.85"
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[
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"19,500",
"28.0"
],
[
"Daping",
"Da Ping Xiang",
"14,300",
"32.0"
],
[
"Yongyi",
"Yong Yi Xiang",
"10,... | [
"Ruyi",
"Shaoshan"
] | which are ruyi or shaoshan? || what are the listed names? |
ns-21 | col : name | hanzi | population (2005) | area (km2) row 1 : qingxi | qing xi zhen | 20,000 | 2.9 row 2 : ruyi | ru yi zhen | 15,100 | 33.85 row 3 : yintian | yin tian zhen | 19,500 | 28.0 row 4 : daping | da ping xiang | 14,300 | 32.0 row 5 : yongyi | yong yi xiang | 10,600 | 24.0 row 6 : shaoshan | shao shan xiang | 1... | table_csv/204_891.csv | 2 | {
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3,
3
],
"row_index": [
1,
5
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} | [
"what are the listed names?",
"which are ruyi or shaoshan?",
"what are their corresponding areas?"
] | 0 | 33.85, 37.62 | [
"Name",
"Hanzi",
"Population (2005)",
"Area (Km2)"
] | what are their corresponding areas? | [
[
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"Qing Xi Zhen",
"20,000",
"2.9"
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[
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"Ru Yi Zhen",
"15,100",
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],
[
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"19,500",
"28.0"
],
[
"Daping",
"Da Ping Xiang",
"14,300",
"32.0"
],
[
"Yongyi",
"Yong Yi Xiang",
"10,... | [
"33.85",
"37.62"
] | what are their corresponding areas? || which are ruyi or shaoshan? | what are the listed names? |
ns-21 | col : name | hanzi | population (2005) | area (km2) row 1 : qingxi | qing xi zhen | 20,000 | 2.9 row 2 : ruyi | ru yi zhen | 15,100 | 33.85 row 3 : yintian | yin tian zhen | 19,500 | 28.0 row 4 : daping | da ping xiang | 14,300 | 32.0 row 5 : yongyi | yong yi xiang | 10,600 | 24.0 row 6 : shaoshan | shao shan xiang | 1... | table_csv/204_891.csv | 3 | {
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"row_index": [
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]
} | [
"what are the listed names?",
"which are ruyi or shaoshan?",
"what are their corresponding areas?",
"which of those is larger?"
] | 0 | 37.62 | [
"Name",
"Hanzi",
"Population (2005)",
"Area (Km2)"
] | which of those is larger? | [
[
"Qingxi",
"Qing Xi Zhen",
"20,000",
"2.9"
],
[
"Ruyi",
"Ru Yi Zhen",
"15,100",
"33.85"
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[
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[
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"Da Ping Xiang",
"14,300",
"32.0"
],
[
"Yongyi",
"Yong Yi Xiang",
"10,... | [
"37.62"
] | which of those is larger? || what are their corresponding areas? | which are ruyi or shaoshan? | what are the listed names? |
ns-21 | col : name | hanzi | population (2005) | area (km2) row 1 : qingxi | qing xi zhen | 20,000 | 2.9 row 2 : ruyi | ru yi zhen | 15,100 | 33.85 row 3 : yintian | yin tian zhen | 19,500 | 28.0 row 4 : daping | da ping xiang | 14,300 | 32.0 row 5 : yongyi | yong yi xiang | 10,600 | 24.0 row 6 : shaoshan | shao shan xiang | 1... | table_csv/204_891.csv | 4 | {
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} | [
"what are the listed names?",
"which are ruyi or shaoshan?",
"what are their corresponding areas?",
"which of those is larger?",
"to what name does that area belong?"
] | 0 | shaoshan | [
"Name",
"Hanzi",
"Population (2005)",
"Area (Km2)"
] | to what name does that area belong? | [
[
"Qingxi",
"Qing Xi Zhen",
"20,000",
"2.9"
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[
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"Ru Yi Zhen",
"15,100",
"33.85"
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[
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[
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"Da Ping Xiang",
"14,300",
"32.0"
],
[
"Yongyi",
"Yong Yi Xiang",
"10,... | [
"Shaoshan"
] | to what name does that area belong? || which of those is larger? | what are their corresponding areas? | which are ruyi or shaoshan? | what are the listed names? |
ns-21 | col : name | hanzi | population (2005) | area (km2) row 1 : qingxi | qing xi zhen | 20,000 | 2.9 row 2 : ruyi | ru yi zhen | 15,100 | 33.85 row 3 : yintian | yin tian zhen | 19,500 | 28.0 row 4 : daping | da ping xiang | 14,300 | 32.0 row 5 : yongyi | yong yi xiang | 10,600 | 24.0 row 6 : shaoshan | shao shan xiang | 1... | table_csv/204_891.csv | 0 | {
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} | [
"what are the name of the shaoshan?"
] | 1 | qingxi, ruyi, yintian, daping, yongyi, shaoshan, yanglin | [
"Name",
"Hanzi",
"Population (2005)",
"Area (Km2)"
] | what are the name of the shaoshan? | [
[
"Qingxi",
"Qing Xi Zhen",
"20,000",
"2.9"
],
[
"Ruyi",
"Ru Yi Zhen",
"15,100",
"33.85"
],
[
"Yintian",
"Yin Tian Zhen",
"19,500",
"28.0"
],
[
"Daping",
"Da Ping Xiang",
"14,300",
"32.0"
],
[
"Yongyi",
"Yong Yi Xiang",
"10,... | [
"Qingxi",
"Ruyi",
"Yintian",
"Daping",
"Yongyi",
"Shaoshan",
"Yanglin"
] | what are the name of the shaoshan? || |
ns-21 | col : name | hanzi | population (2005) | area (km2) row 1 : qingxi | qing xi zhen | 20,000 | 2.9 row 2 : ruyi | ru yi zhen | 15,100 | 33.85 row 3 : yintian | yin tian zhen | 19,500 | 28.0 row 4 : daping | da ping xiang | 14,300 | 32.0 row 5 : yongyi | yong yi xiang | 10,600 | 24.0 row 6 : shaoshan | shao shan xiang | 1... | table_csv/204_891.csv | 1 | {
"column_index": [
3
],
"row_index": [
5
]
} | [
"what are the name of the shaoshan?",
"what is the area of shaoshan?"
] | 1 | 37.62 | [
"Name",
"Hanzi",
"Population (2005)",
"Area (Km2)"
] | what is the area of shaoshan? | [
[
"Qingxi",
"Qing Xi Zhen",
"20,000",
"2.9"
],
[
"Ruyi",
"Ru Yi Zhen",
"15,100",
"33.85"
],
[
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"Yin Tian Zhen",
"19,500",
"28.0"
],
[
"Daping",
"Da Ping Xiang",
"14,300",
"32.0"
],
[
"Yongyi",
"Yong Yi Xiang",
"10,... | [
"37.62"
] | what is the area of shaoshan? || what are the name of the shaoshan? |
ns-21 | col : name | hanzi | population (2005) | area (km2) row 1 : qingxi | qing xi zhen | 20,000 | 2.9 row 2 : ruyi | ru yi zhen | 15,100 | 33.85 row 3 : yintian | yin tian zhen | 19,500 | 28.0 row 4 : daping | da ping xiang | 14,300 | 32.0 row 5 : yongyi | yong yi xiang | 10,600 | 24.0 row 6 : shaoshan | shao shan xiang | 1... | table_csv/204_891.csv | 2 | {
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3
],
"row_index": [
1
]
} | [
"what are the name of the shaoshan?",
"what is the area of shaoshan?",
"what is the area of ruyi?"
] | 1 | 33.85 | [
"Name",
"Hanzi",
"Population (2005)",
"Area (Km2)"
] | what is the area of ruyi? | [
[
"Qingxi",
"Qing Xi Zhen",
"20,000",
"2.9"
],
[
"Ruyi",
"Ru Yi Zhen",
"15,100",
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[
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[
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"Da Ping Xiang",
"14,300",
"32.0"
],
[
"Yongyi",
"Yong Yi Xiang",
"10,... | [
"33.85"
] | what is the area of ruyi? || what is the area of shaoshan? | what are the name of the shaoshan? |
ns-21 | col : name | hanzi | population (2005) | area (km2) row 1 : qingxi | qing xi zhen | 20,000 | 2.9 row 2 : ruyi | ru yi zhen | 15,100 | 33.85 row 3 : yintian | yin tian zhen | 19,500 | 28.0 row 4 : daping | da ping xiang | 14,300 | 32.0 row 5 : yongyi | yong yi xiang | 10,600 | 24.0 row 6 : shaoshan | shao shan xiang | 1... | table_csv/204_891.csv | 3 | {
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} | [
"what are the name of the shaoshan?",
"what is the area of shaoshan?",
"what is the area of ruyi?",
"which has the larger area?"
] | 1 | shaoshan | [
"Name",
"Hanzi",
"Population (2005)",
"Area (Km2)"
] | which has the larger area? | [
[
"Qingxi",
"Qing Xi Zhen",
"20,000",
"2.9"
],
[
"Ruyi",
"Ru Yi Zhen",
"15,100",
"33.85"
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"what are all the names?",
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"10,... | [
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nt-9001 | col : rank | heat | athlete | nationality | time | notes row 1 : 1 | 1 | natalya ivanova | russia | 23.11 | q row 2 : 2 | 1 | elodie ouedraogo | belgium | 23.23 | q row 3 : 3 | 2 | yelena yakovleva | russia | 23.37 | q row 4 : 4 | 1 | monika bejnar | poland | 23.39 | q, sb row 5 : 5 | 1 | nataliya pyhyda | ukraine | 23... | table_csv/204_155.csv | 0 | {
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nt-9001 | col : rank | heat | athlete | nationality | time | notes row 1 : 1 | 1 | natalya ivanova | russia | 23.11 | q row 2 : 2 | 1 | elodie ouedraogo | belgium | 23.23 | q row 3 : 3 | 2 | yelena yakovleva | russia | 23.37 | q row 4 : 4 | 1 | monika bejnar | poland | 23.39 | q, sb row 5 : 5 | 1 | nataliya pyhyda | ukraine | 23... | table_csv/204_155.csv | 1 | {
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[
"4",
"1",
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... | [
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nt-9001 | col : rank | heat | athlete | nationality | time | notes row 1 : 1 | 1 | natalya ivanova | russia | 23.11 | q row 2 : 2 | 1 | elodie ouedraogo | belgium | 23.23 | q row 3 : 3 | 2 | yelena yakovleva | russia | 23.37 | q row 4 : 4 | 1 | monika bejnar | poland | 23.39 | q, sb row 5 : 5 | 1 | nataliya pyhyda | ukraine | 23... | table_csv/204_155.csv | 2 | {
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"what is adrienne power's time?",
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"1",
"Monika Bejnar",
"Poland",
... | [
"23.62"
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"what is adrienne power's time?",
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[
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"Poland",
... | [
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nt-9001 | col : rank | heat | athlete | nationality | time | notes row 1 : 1 | 1 | natalya ivanova | russia | 23.11 | q row 2 : 2 | 1 | elodie ouedraogo | belgium | 23.23 | q row 3 : 3 | 2 | yelena yakovleva | russia | 23.37 | q row 4 : 4 | 1 | monika bejnar | poland | 23.39 | q, sb row 5 : 5 | 1 | nataliya pyhyda | ukraine | 23... | table_csv/204_155.csv | 0 | {
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"what was adrienne power's time?"
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[
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... | [
"23.62"
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nt-9001 | col : rank | heat | athlete | nationality | time | notes row 1 : 1 | 1 | natalya ivanova | russia | 23.11 | q row 2 : 2 | 1 | elodie ouedraogo | belgium | 23.23 | q row 3 : 3 | 2 | yelena yakovleva | russia | 23.37 | q row 4 : 4 | 1 | monika bejnar | poland | 23.39 | q, sb row 5 : 5 | 1 | nataliya pyhyda | ukraine | 23... | table_csv/204_155.csv | 1 | {
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"what was adrienne power's time?",
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"Rank",
"Heat",
"Athlete",
"Nationality",
"Time",
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"1",
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[
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"what was adrienne power's time?",
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"1",
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[
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... | [
"23.62"
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"what was adrienne power's time?",
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"Athlete",
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... | [
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"what is the time for adrienne power?"
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"Athlete",
"Nationality",
"Time",
"Notes"
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[
"1",
"1",
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[
"4",
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"what is the time for adrienne power?",
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"Nationality",
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"Monika Bejnar",
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"what is the time for adrienne power?",
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"Heat",
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"Nationality",
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nt-9006 | col : place | athlete | nation | best mark | throw 1 | throw 2 | throw 3 | throw 4 | throw 5 | throw 6 row 1 : 1 | tamara press | soviet union | 18.14 metres or | 17.51 | 17.72 | 17.18 | 16.49 | x | 18.14 row 2 : 2 | renate culmberger | germany | 17.61 metres | 17.41 | 17.10 | 16.38 | 17.61 | 17.00 | 17.01 row 3 : 3 | ... | table_csv/203_865.csv | 0 | {
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"which athletes participated in the 1964 summer olympics - women's shot put?"
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"... | [
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nt-9006 | col : place | athlete | nation | best mark | throw 1 | throw 2 | throw 3 | throw 4 | throw 5 | throw 6 row 1 : 1 | tamara press | soviet union | 18.14 metres or | 17.51 | 17.72 | 17.18 | 16.49 | x | 18.14 row 2 : 2 | renate culmberger | germany | 17.61 metres | 17.41 | 17.10 | 16.38 | 17.61 | 17.00 | 17.01 row 3 : 3 | ... | table_csv/203_865.csv | 1 | {
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"which athletes participated in the 1964 summer olympics - women's shot put?",
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"... | [
"Tamara Press",
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[
"... | [
"Tamara Press"
] | who threw the farthest of these? || of these, which threw over 17 meters? | which athletes participated in the 1964 summer olympics - women's shot put? |
nt-9006 | col : place | athlete | nation | best mark | throw 1 | throw 2 | throw 3 | throw 4 | throw 5 | throw 6 row 1 : 1 | tamara press | soviet union | 18.14 metres or | 17.51 | 17.72 | 17.18 | 16.49 | x | 18.14 row 2 : 2 | renate culmberger | germany | 17.61 metres | 17.41 | 17.10 | 16.38 | 17.61 | 17.00 | 17.01 row 3 : 3 | ... | table_csv/203_865.csv | 0 | {
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"Throw 2",
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"Tamara Press",
"Soviet Union",
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"16.49",
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[
"... | [
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"Irina Press",
"Nancy McCredie",
"Ana Salagean",
"Johanna Hubner",
"Ivanka Khristova",
"Judit Bognar",
"Earlene Brown"
] | who are all the athletes? || |
nt-9006 | col : place | athlete | nation | best mark | throw 1 | throw 2 | throw 3 | throw 4 | throw 5 | throw 6 row 1 : 1 | tamara press | soviet union | 18.14 metres or | 17.51 | 17.72 | 17.18 | 16.49 | x | 18.14 row 2 : 2 | renate culmberger | germany | 17.61 metres | 17.41 | 17.10 | 16.38 | 17.61 | 17.00 | 17.01 row 3 : 3 | ... | table_csv/203_865.csv | 1 | {
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"who are all the athletes?",
"and what was the best mark of each athlete?"
] | 1 | 18.14 metres or, 17.61 metres, 17.45 metres, 17.26 metres, 16.91 metres, 16.71 metres, 15.89 metres, 15.83 metres, 15.77 metres, 15.69 metres, 15.65 metres, 14.80 metres | [
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"who are all the athletes?",
"and what was the best mark of each athlete?",
"of those scores, which athlete achieved the highest?"
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[
"... | [
"Tamara Press"
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nt-9006 | col : place | athlete | nation | best mark | throw 1 | throw 2 | throw 3 | throw 4 | throw 5 | throw 6 row 1 : 1 | tamara press | soviet union | 18.14 metres or | 17.51 | 17.72 | 17.18 | 16.49 | x | 18.14 row 2 : 2 | renate culmberger | germany | 17.61 metres | 17.41 | 17.10 | 16.38 | 17.61 | 17.00 | 17.01 row 3 : 3 | ... | table_csv/203_865.csv | 0 | {
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"what are the names of all the athletes?"
] | 2 | tamara press, renate culmberger, galina zybina, valerie young, margitta helmbold, irina press, nancy mccredie, ana salagean, johanna hubner, ivanka khristova, judit bognar, earlene brown | [
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"Throw 4",
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] | what are the names of all the athletes? | [
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"17.72",
"17.18",
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[
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"... | [
"Tamara Press",
"Renate Culmberger",
"Galina Zybina",
"Valerie Young",
"Margitta Helmbold",
"Irina Press",
"Nancy McCredie",
"Ana Salagean",
"Johanna Hubner",
"Ivanka Khristova",
"Judit Bognar",
"Earlene Brown"
] | what are the names of all the athletes? || |
nt-9006 | col : place | athlete | nation | best mark | throw 1 | throw 2 | throw 3 | throw 4 | throw 5 | throw 6 row 1 : 1 | tamara press | soviet union | 18.14 metres or | 17.51 | 17.72 | 17.18 | 16.49 | x | 18.14 row 2 : 2 | renate culmberger | germany | 17.61 metres | 17.41 | 17.10 | 16.38 | 17.61 | 17.00 | 17.01 row 3 : 3 | ... | table_csv/203_865.csv | 1 | {
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"what are the names of all the athletes?",
"of these, who is the only athlete to throw more than 18 meters?"
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"Nation",
"Best mark",
"Throw 1",
"Throw 2",
"Throw 3",
"Throw 4",
"Throw 5",
"Throw 6"
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[
"... | [
"Tamara Press"
] | of these, who is the only athlete to throw more than 18 meters? || what are the names of all the athletes? |
nt-11136 | col : ano | title | role | channel | notes row 1 : 1994 | inconquistable corazon | victoria | canal 9 | nan row 2 : 1995 | dulce ana | veronica iturbe montalban | canal 9 | nan row 3 : 1996 | 90-60-90 modelos | lucia peralta | canal 9 | nan row 4 : 1997 | ricos y famosos | valeria garcia mendez de salerno | canal 9 | n... | table_csv/204_871.csv | 0 | {
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} | [
"what are the natalia oreiro titles?"
] | 0 | inconquistable corazon, dulce ana, 90-60-90 modelos, ricos y famosos, muneca brava, kachorra, el deseo, botines, sos mi vida, patito feo, amanda o, recurso natural, se dice de mi, cuando me sonreis, lynch, solamente vos | [
"Ano",
"Title",
"Role",
"Channel",
"Notes"
] | what are the natalia oreiro titles? | [
[
"1994",
"Inconquistable corazon",
"Victoria",
"Canal 9",
"nan"
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"1995",
"Dulce Ana",
"Veronica Iturbe Montalban",
"Canal 9",
"nan"
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[
"1996",
"90-60-90 modelos",
"Lucia Peralta",
"Canal 9",
"nan"
],
[
"1997",
"Ricos y famosos",
... | [
"Inconquistable corazon",
"Dulce Ana",
"90-60-90 modelos",
"Ricos y famosos",
"Muneca brava",
"Kachorra",
"El Deseo",
"Botines",
"Sos mi vida",
"Patito feo",
"Amanda O",
"Recurso Natural",
"Se dice de mi",
"Cuando me sonreis",
"Lynch",
"Solamente Vos"
] | what are the natalia oreiro titles? || |
nt-11136 | col : ano | title | role | channel | notes row 1 : 1994 | inconquistable corazon | victoria | canal 9 | nan row 2 : 1995 | dulce ana | veronica iturbe montalban | canal 9 | nan row 3 : 1996 | 90-60-90 modelos | lucia peralta | canal 9 | nan row 4 : 1997 | ricos y famosos | valeria garcia mendez de salerno | canal 9 | n... | table_csv/204_871.csv | 1 | {
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"what are the natalia oreiro titles?",
"in what years did kachorra and sos mi vida arrive?"
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"Ano",
"Title",
"Role",
"Channel",
"Notes"
] | in what years did kachorra and sos mi vida arrive? | [
[
"1994",
"Inconquistable corazon",
"Victoria",
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"1995",
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[
"1996",
"90-60-90 modelos",
"Lucia Peralta",
"Canal 9",
"nan"
],
[
"1997",
"Ricos y famosos",
... | [
"2002",
"2006"
] | in what years did kachorra and sos mi vida arrive? || what are the natalia oreiro titles? |
nt-11136 | col : ano | title | role | channel | notes row 1 : 1994 | inconquistable corazon | victoria | canal 9 | nan row 2 : 1995 | dulce ana | veronica iturbe montalban | canal 9 | nan row 3 : 1996 | 90-60-90 modelos | lucia peralta | canal 9 | nan row 4 : 1997 | ricos y famosos | valeria garcia mendez de salerno | canal 9 | n... | table_csv/204_871.csv | 2 | {
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} | [
"what are the natalia oreiro titles?",
"in what years did kachorra and sos mi vida arrive?",
"which of these years is older?"
] | 0 | 2002 | [
"Ano",
"Title",
"Role",
"Channel",
"Notes"
] | which of these years is older? | [
[
"1994",
"Inconquistable corazon",
"Victoria",
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"nan"
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[
"1995",
"Dulce Ana",
"Veronica Iturbe Montalban",
"Canal 9",
"nan"
],
[
"1996",
"90-60-90 modelos",
"Lucia Peralta",
"Canal 9",
"nan"
],
[
"1997",
"Ricos y famosos",
... | [
"2002"
] | which of these years is older? || in what years did kachorra and sos mi vida arrive? | what are the natalia oreiro titles? |
nt-11136 | col : ano | title | role | channel | notes row 1 : 1994 | inconquistable corazon | victoria | canal 9 | nan row 2 : 1995 | dulce ana | veronica iturbe montalban | canal 9 | nan row 3 : 1996 | 90-60-90 modelos | lucia peralta | canal 9 | nan row 4 : 1997 | ricos y famosos | valeria garcia mendez de salerno | canal 9 | n... | table_csv/204_871.csv | 3 | {
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} | [
"what are the natalia oreiro titles?",
"in what years did kachorra and sos mi vida arrive?",
"which of these years is older?",
"which of the two movies came out that year?"
] | 0 | kachorra | [
"Ano",
"Title",
"Role",
"Channel",
"Notes"
] | which of the two movies came out that year? | [
[
"1994",
"Inconquistable corazon",
"Victoria",
"Canal 9",
"nan"
],
[
"1995",
"Dulce Ana",
"Veronica Iturbe Montalban",
"Canal 9",
"nan"
],
[
"1996",
"90-60-90 modelos",
"Lucia Peralta",
"Canal 9",
"nan"
],
[
"1997",
"Ricos y famosos",
... | [
"Kachorra"
] | which of the two movies came out that year? || which of these years is older? | in what years did kachorra and sos mi vida arrive? | what are the natalia oreiro titles? |
nt-11136 | col : ano | title | role | channel | notes row 1 : 1994 | inconquistable corazon | victoria | canal 9 | nan row 2 : 1995 | dulce ana | veronica iturbe montalban | canal 9 | nan row 3 : 1996 | 90-60-90 modelos | lucia peralta | canal 9 | nan row 4 : 1997 | ricos y famosos | valeria garcia mendez de salerno | canal 9 | n... | table_csv/204_871.csv | 0 | {
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"what are the titles in the natalia oreiro?"
] | 1 | inconquistable corazon, dulce ana, 90-60-90 modelos, ricos y famosos, muneca brava, kachorra, el deseo, botines, sos mi vida, patito feo, amanda o, recurso natural, se dice de mi, cuando me sonreis, lynch, solamente vos | [
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"Title",
"Role",
"Channel",
"Notes"
] | what are the titles in the natalia oreiro? | [
[
"1994",
"Inconquistable corazon",
"Victoria",
"Canal 9",
"nan"
],
[
"1995",
"Dulce Ana",
"Veronica Iturbe Montalban",
"Canal 9",
"nan"
],
[
"1996",
"90-60-90 modelos",
"Lucia Peralta",
"Canal 9",
"nan"
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[
"1997",
"Ricos y famosos",
... | [
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"Dulce Ana",
"90-60-90 modelos",
"Ricos y famosos",
"Muneca brava",
"Kachorra",
"El Deseo",
"Botines",
"Sos mi vida",
"Patito feo",
"Amanda O",
"Recurso Natural",
"Se dice de mi",
"Cuando me sonreis",
"Lynch",
"Solamente Vos"
] | what are the titles in the natalia oreiro? || |
nt-11136 | col : ano | title | role | channel | notes row 1 : 1994 | inconquistable corazon | victoria | canal 9 | nan row 2 : 1995 | dulce ana | veronica iturbe montalban | canal 9 | nan row 3 : 1996 | 90-60-90 modelos | lucia peralta | canal 9 | nan row 4 : 1997 | ricos y famosos | valeria garcia mendez de salerno | canal 9 | n... | table_csv/204_871.csv | 1 | {
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} | [
"what are the titles in the natalia oreiro?",
"what is the year for kachorra?"
] | 1 | 2002 | [
"Ano",
"Title",
"Role",
"Channel",
"Notes"
] | what is the year for kachorra? | [
[
"1994",
"Inconquistable corazon",
"Victoria",
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[
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[
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"90-60-90 modelos",
"Lucia Peralta",
"Canal 9",
"nan"
],
[
"1997",
"Ricos y famosos",
... | [
"2002"
] | what is the year for kachorra? || what are the titles in the natalia oreiro? |
nt-11136 | col : ano | title | role | channel | notes row 1 : 1994 | inconquistable corazon | victoria | canal 9 | nan row 2 : 1995 | dulce ana | veronica iturbe montalban | canal 9 | nan row 3 : 1996 | 90-60-90 modelos | lucia peralta | canal 9 | nan row 4 : 1997 | ricos y famosos | valeria garcia mendez de salerno | canal 9 | n... | table_csv/204_871.csv | 2 | {
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} | [
"what are the titles in the natalia oreiro?",
"what is the year for kachorra?",
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"Ano",
"Title",
"Role",
"Channel",
"Notes"
] | what is the year for sos mi vida? | [
[
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"Inconquistable corazon",
"Victoria",
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[
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"Dulce Ana",
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"nan"
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[
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"90-60-90 modelos",
"Lucia Peralta",
"Canal 9",
"nan"
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[
"1997",
"Ricos y famosos",
... | [
"2006"
] | what is the year for sos mi vida? || what is the year for kachorra? | what are the titles in the natalia oreiro? |
nt-11136 | col : ano | title | role | channel | notes row 1 : 1994 | inconquistable corazon | victoria | canal 9 | nan row 2 : 1995 | dulce ana | veronica iturbe montalban | canal 9 | nan row 3 : 1996 | 90-60-90 modelos | lucia peralta | canal 9 | nan row 4 : 1997 | ricos y famosos | valeria garcia mendez de salerno | canal 9 | n... | table_csv/204_871.csv | 3 | {
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} | [
"what are the titles in the natalia oreiro?",
"what is the year for kachorra?",
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"Notes"
] | which of these two is older? | [
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[
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"nan"
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[
"1997",
"Ricos y famosos",
... | [
"Kachorra"
] | which of these two is older? || what is the year for sos mi vida? | what is the year for kachorra? | what are the titles in the natalia oreiro? |
nt-11136 | col : ano | title | role | channel | notes row 1 : 1994 | inconquistable corazon | victoria | canal 9 | nan row 2 : 1995 | dulce ana | veronica iturbe montalban | canal 9 | nan row 3 : 1996 | 90-60-90 modelos | lucia peralta | canal 9 | nan row 4 : 1997 | ricos y famosos | valeria garcia mendez de salerno | canal 9 | n... | table_csv/204_871.csv | 0 | {
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0,
0,
0,
0,
0
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15
]
} | [
"what are all of the years?"
] | 2 | 1994, 1995, 1996, 1997, 1998-1999, 2002, 2004, 2005, 2006, 2007, 2008, 2008, 2010, 2011, 2012-2013, 2013 | [
"Ano",
"Title",
"Role",
"Channel",
"Notes"
] | what are all of the years? | [
[
"1994",
"Inconquistable corazon",
"Victoria",
"Canal 9",
"nan"
],
[
"1995",
"Dulce Ana",
"Veronica Iturbe Montalban",
"Canal 9",
"nan"
],
[
"1996",
"90-60-90 modelos",
"Lucia Peralta",
"Canal 9",
"nan"
],
[
"1997",
"Ricos y famosos",
... | [
"1994",
"1995",
"1996",
"1997",
"1998-1999",
"2002",
"2004",
"2005",
"2006",
"2007",
"2008",
"2008",
"2010",
"2011",
"2012-2013",
"2013"
] | what are all of the years? || |
nt-11136 | col : ano | title | role | channel | notes row 1 : 1994 | inconquistable corazon | victoria | canal 9 | nan row 2 : 1995 | dulce ana | veronica iturbe montalban | canal 9 | nan row 3 : 1996 | 90-60-90 modelos | lucia peralta | canal 9 | nan row 4 : 1997 | ricos y famosos | valeria garcia mendez de salerno | canal 9 | n... | table_csv/204_871.csv | 1 | {
"column_index": [
1
],
"row_index": [
8
]
} | [
"what are all of the years?",
"which came out in 2006?"
] | 2 | sos mi vida | [
"Ano",
"Title",
"Role",
"Channel",
"Notes"
] | which came out in 2006? | [
[
"1994",
"Inconquistable corazon",
"Victoria",
"Canal 9",
"nan"
],
[
"1995",
"Dulce Ana",
"Veronica Iturbe Montalban",
"Canal 9",
"nan"
],
[
"1996",
"90-60-90 modelos",
"Lucia Peralta",
"Canal 9",
"nan"
],
[
"1997",
"Ricos y famosos",
... | [
"Sos mi vida"
] | which came out in 2006? || what are all of the years? |
nt-11136 | col : ano | title | role | channel | notes row 1 : 1994 | inconquistable corazon | victoria | canal 9 | nan row 2 : 1995 | dulce ana | veronica iturbe montalban | canal 9 | nan row 3 : 1996 | 90-60-90 modelos | lucia peralta | canal 9 | nan row 4 : 1997 | ricos y famosos | valeria garcia mendez de salerno | canal 9 | n... | table_csv/204_871.csv | 2 | {
"column_index": [
0
],
"row_index": [
5
]
} | [
"what are all of the years?",
"which came out in 2006?",
"which came out in 2002?"
] | 2 | 2002 | [
"Ano",
"Title",
"Role",
"Channel",
"Notes"
] | which came out in 2002? | [
[
"1994",
"Inconquistable corazon",
"Victoria",
"Canal 9",
"nan"
],
[
"1995",
"Dulce Ana",
"Veronica Iturbe Montalban",
"Canal 9",
"nan"
],
[
"1996",
"90-60-90 modelos",
"Lucia Peralta",
"Canal 9",
"nan"
],
[
"1997",
"Ricos y famosos",
... | [
"2002"
] | which came out in 2002? || which came out in 2006? | what are all of the years? |
nt-11136 | col : ano | title | role | channel | notes row 1 : 1994 | inconquistable corazon | victoria | canal 9 | nan row 2 : 1995 | dulce ana | veronica iturbe montalban | canal 9 | nan row 3 : 1996 | 90-60-90 modelos | lucia peralta | canal 9 | nan row 4 : 1997 | ricos y famosos | valeria garcia mendez de salerno | canal 9 | n... | table_csv/204_871.csv | 3 | {
"column_index": [
1
],
"row_index": [
5
]
} | [
"what are all of the years?",
"which came out in 2006?",
"which came out in 2002?",
"of those two, which came out earlier?"
] | 2 | kachorra | [
"Ano",
"Title",
"Role",
"Channel",
"Notes"
] | of those two, which came out earlier? | [
[
"1994",
"Inconquistable corazon",
"Victoria",
"Canal 9",
"nan"
],
[
"1995",
"Dulce Ana",
"Veronica Iturbe Montalban",
"Canal 9",
"nan"
],
[
"1996",
"90-60-90 modelos",
"Lucia Peralta",
"Canal 9",
"nan"
],
[
"1997",
"Ricos y famosos",
... | [
"Kachorra"
] | of those two, which came out earlier? || which came out in 2002? | which came out in 2006? | what are all of the years? |
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