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nt-35 | col : represent | contestant | age | height | hometown row 1 : 1 | mildred kincaid adames | 20 | 1.65 mts | panama city row 2 : 2 | catherine henderson tudisco | 20 | 1.66 mts | panama city row 3 : 3 | giovanna alida loaiza | 21 | 1.67 mts | panama city row 4 : 4 | reyna royo | 24 | 1.69 mts | panama city row 5 : 5 | i... | table_csv/204_144.csv | 0 | {
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nt-35 | col : represent | contestant | age | height | hometown row 1 : 1 | mildred kincaid adames | 20 | 1.65 mts | panama city row 2 : 2 | catherine henderson tudisco | 20 | 1.66 mts | panama city row 3 : 3 | giovanna alida loaiza | 21 | 1.67 mts | panama city row 4 : 4 | reyna royo | 24 | 1.69 mts | panama city row 5 : 5 | i... | table_csv/204_144.csv | 1 | {
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"what are the ages of the contestants?",
"which contestants are 24 years of age?"
] | 0 | 24, 24 | [
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"Contestant",
"Age",
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"Hometown"
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[
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"21",
"1.67 mts",
"Panama City"
],
[
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"Reyna Royo",
"24... | [
"24",
"24"
] | which contestants are 24 years of age? || what are the ages of the contestants? |
nt-35 | col : represent | contestant | age | height | hometown row 1 : 1 | mildred kincaid adames | 20 | 1.65 mts | panama city row 2 : 2 | catherine henderson tudisco | 20 | 1.66 mts | panama city row 3 : 3 | giovanna alida loaiza | 21 | 1.67 mts | panama city row 4 : 4 | reyna royo | 24 | 1.69 mts | panama city row 5 : 5 | i... | table_csv/204_144.csv | 2 | {
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"what are the ages of the contestants?",
"which contestants are 24 years of age?",
"which of these 24 year olds is taller?"
] | 0 | marisela moreno montero | [
"Represent",
"Contestant",
"Age",
"Height",
"Hometown"
] | which of these 24 year olds is taller? | [
[
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"Panama City"
],
[
"4",
"Reyna Royo",
"24... | [
"Marisela Moreno Montero"
] | which of these 24 year olds is taller? || which contestants are 24 years of age? | what are the ages of the contestants? |
nt-35 | col : represent | contestant | age | height | hometown row 1 : 1 | mildred kincaid adames | 20 | 1.65 mts | panama city row 2 : 2 | catherine henderson tudisco | 20 | 1.66 mts | panama city row 3 : 3 | giovanna alida loaiza | 21 | 1.67 mts | panama city row 4 : 4 | reyna royo | 24 | 1.69 mts | panama city row 5 : 5 | i... | table_csv/204_144.csv | 0 | {
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} | [
"how old is reyna royo?"
] | 1 | 24 | [
"Represent",
"Contestant",
"Age",
"Height",
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[
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[
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"21",
"1.67 mts",
"Panama City"
],
[
"4",
"Reyna Royo",
"24... | [
"24"
] | how old is reyna royo? || |
nt-35 | col : represent | contestant | age | height | hometown row 1 : 1 | mildred kincaid adames | 20 | 1.65 mts | panama city row 2 : 2 | catherine henderson tudisco | 20 | 1.66 mts | panama city row 3 : 3 | giovanna alida loaiza | 21 | 1.67 mts | panama city row 4 : 4 | reyna royo | 24 | 1.69 mts | panama city row 5 : 5 | i... | table_csv/204_144.csv | 1 | {
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} | [
"how old is reyna royo?",
"who else is the same age?"
] | 1 | marisela moreno montero | [
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"Contestant",
"Age",
"Height",
"Hometown"
] | who else is the same age? | [
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"1.65 mts",
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"21",
"1.67 mts",
"Panama City"
],
[
"4",
"Reyna Royo",
"24... | [
"Marisela Moreno Montero"
] | who else is the same age? || how old is reyna royo? |
nt-35 | col : represent | contestant | age | height | hometown row 1 : 1 | mildred kincaid adames | 20 | 1.65 mts | panama city row 2 : 2 | catherine henderson tudisco | 20 | 1.66 mts | panama city row 3 : 3 | giovanna alida loaiza | 21 | 1.67 mts | panama city row 4 : 4 | reyna royo | 24 | 1.69 mts | panama city row 5 : 5 | i... | table_csv/204_144.csv | 0 | {
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"who are the contestants?"
] | 2 | mildred kincaid adames, catherine henderson tudisco, giovanna alida loaiza, reyna royo, ivonne ileana correa turney, karol guevara, betzy janette achurra castillo, marisela moreno montero, patricia de leon, marichelle julieta ruiz leone, betsy milena batista, lourdes rodriguez, janessy jasiell contreras ibarra, gina la... | [
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"Betsy Milena Batista",
"Lourdes Rod... | who are the contestants? || |
nt-35 | col : represent | contestant | age | height | hometown row 1 : 1 | mildred kincaid adames | 20 | 1.65 mts | panama city row 2 : 2 | catherine henderson tudisco | 20 | 1.66 mts | panama city row 3 : 3 | giovanna alida loaiza | 21 | 1.67 mts | panama city row 4 : 4 | reyna royo | 24 | 1.69 mts | panama city row 5 : 5 | i... | table_csv/204_144.csv | 1 | {
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} | [
"who are the contestants?",
"which ones are 24 years old?"
] | 2 | reyna royo, marisela moreno montero | [
"Represent",
"Contestant",
"Age",
"Height",
"Hometown"
] | which ones are 24 years old? | [
[
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"1.67 mts",
"Panama City"
],
[
"4",
"Reyna Royo",
"24... | [
"Reyna Royo",
"Marisela Moreno Montero"
] | which ones are 24 years old? || who are the contestants? |
nt-35 | col : represent | contestant | age | height | hometown row 1 : 1 | mildred kincaid adames | 20 | 1.65 mts | panama city row 2 : 2 | catherine henderson tudisco | 20 | 1.66 mts | panama city row 3 : 3 | giovanna alida loaiza | 21 | 1.67 mts | panama city row 4 : 4 | reyna royo | 24 | 1.69 mts | panama city row 5 : 5 | i... | table_csv/204_144.csv | 2 | {
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} | [
"who are the contestants?",
"which ones are 24 years old?",
"of those, who is not reyna royo?"
] | 2 | marisela moreno montero | [
"Represent",
"Contestant",
"Age",
"Height",
"Hometown"
] | of those, who is not reyna royo? | [
[
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"1.65 mts",
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[
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"1.67 mts",
"Panama City"
],
[
"4",
"Reyna Royo",
"24... | [
"Marisela Moreno Montero"
] | of those, who is not reyna royo? || which ones are 24 years old? | who are the contestants? |
nt-8060 | col : rank | film | year | opening weekend (three day) | inflation-adjusted (2014 usd) row 1 : 1 | marvel's the avengers | 2012 | $207,438,708 | $213,091,480 row 2 : 2 | iron man 3 | 2013 | $174,144,585 | $176,308,953 row 3 : 3 | harry potter and the deathly hallows - part 2 | 2011 | $169,189,427 | $177,373,590 row 4 :... | table_csv/203_174.csv | 0 | {
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"which movie had an opening of $169,189,427?"
] | 0 | harry potter and the deathly hallows - part 2 | [
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"Opening Weekend (three day)",
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] | which movie had an opening of $169,189,427? | [
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"4"... | [
"Harry Potter and the Deathly Hallows - Part 2"
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nt-8060 | col : rank | film | year | opening weekend (three day) | inflation-adjusted (2014 usd) row 1 : 1 | marvel's the avengers | 2012 | $207,438,708 | $213,091,480 row 2 : 2 | iron man 3 | 2013 | $174,144,585 | $176,308,953 row 3 : 3 | harry potter and the deathly hallows - part 2 | 2011 | $169,189,427 | $177,373,590 row 4 :... | table_csv/203_174.csv | 1 | {
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"which movie had an opening of $169,189,427?",
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[
"4"... | [
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nt-8060 | col : rank | film | year | opening weekend (three day) | inflation-adjusted (2014 usd) row 1 : 1 | marvel's the avengers | 2012 | $207,438,708 | $213,091,480 row 2 : 2 | iron man 3 | 2013 | $174,144,585 | $176,308,953 row 3 : 3 | harry potter and the deathly hallows - part 2 | 2011 | $169,189,427 | $177,373,590 row 4 :... | table_csv/203_174.csv | 2 | {
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"which movie had an opening of $169,189,427?",
"which movie had an opening of $174, 144, 585",
"which movie had an opening of $390+million?"
] | 0 | marvel's the avengers | [
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] | which movie had an opening of $390+million? | [
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[
"4"... | [
"Marvel's The Avengers"
] | which movie had an opening of $390+million? || which movie had an opening of $174, 144, 585 | which movie had an opening of $169,189,427? |
nt-8060 | col : rank | film | year | opening weekend (three day) | inflation-adjusted (2014 usd) row 1 : 1 | marvel's the avengers | 2012 | $207,438,708 | $213,091,480 row 2 : 2 | iron man 3 | 2013 | $174,144,585 | $176,308,953 row 3 : 3 | harry potter and the deathly hallows - part 2 | 2011 | $169,189,427 | $177,373,590 row 4 :... | table_csv/203_174.csv | 0 | {
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"what are all of the movies?"
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"Year",
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nt-8060 | col : rank | film | year | opening weekend (three day) | inflation-adjusted (2014 usd) row 1 : 1 | marvel's the avengers | 2012 | $207,438,708 | $213,091,480 row 2 : 2 | iron man 3 | 2013 | $174,144,585 | $176,308,953 row 3 : 3 | harry potter and the deathly hallows - part 2 | 2011 | $169,189,427 | $177,373,590 row 4 :... | table_csv/203_174.csv | 1 | {
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"what are all of the movies?",
"which movies opened in 2012?"
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"Rank",
"Film",
"Year",
"Opening Weekend (three day)",
"Inflation-adjusted (2014 USD)"
] | which movies opened in 2012? | [
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[
"4"... | [
"Marvel's The Avengers",
"The Dark Knight Rises",
"The Hunger Games",
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] | which movies opened in 2012? || what are all of the movies? |
nt-8060 | col : rank | film | year | opening weekend (three day) | inflation-adjusted (2014 usd) row 1 : 1 | marvel's the avengers | 2012 | $207,438,708 | $213,091,480 row 2 : 2 | iron man 3 | 2013 | $174,144,585 | $176,308,953 row 3 : 3 | harry potter and the deathly hallows - part 2 | 2011 | $169,189,427 | $177,373,590 row 4 :... | table_csv/203_174.csv | 2 | {
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"what are all of the movies?",
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[
"4"... | [
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nt-8060 | col : rank | film | year | opening weekend (three day) | inflation-adjusted (2014 usd) row 1 : 1 | marvel's the avengers | 2012 | $207,438,708 | $213,091,480 row 2 : 2 | iron man 3 | 2013 | $174,144,585 | $176,308,953 row 3 : 3 | harry potter and the deathly hallows - part 2 | 2011 | $169,189,427 | $177,373,590 row 4 :... | table_csv/203_174.csv | 0 | {
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"Year",
"Opening Weekend (three day)",
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[
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nt-8060 | col : rank | film | year | opening weekend (three day) | inflation-adjusted (2014 usd) row 1 : 1 | marvel's the avengers | 2012 | $207,438,708 | $213,091,480 row 2 : 2 | iron man 3 | 2013 | $174,144,585 | $176,308,953 row 3 : 3 | harry potter and the deathly hallows - part 2 | 2011 | $169,189,427 | $177,373,590 row 4 :... | table_csv/203_174.csv | 1 | {
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"what movies opened in 2012?",
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"Marvel's The Avengers"
] | of these movies, which had the biggest opening? || what movies opened in 2012? |
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"what are the names of all the events ito competed in?"
] | 0 | asian championships, asian championships, asian championships, fukuoka marathon, fukuoka marathon, world championships | [
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] | what are the names of all the events ito competed in? || |
nt-13446 | col : year | competition | venue | position | event | notes row 1 : 1975 | asian championships | seoul, south korea | 1st | 5,000m | 14:00.8 row 2 : 1979 | asian championships | tokyo, japan | 2nd | 10,000m | 29:00.2 row 3 : 1981 | asian championships | tokyo, japan | 1st | 10,000m | 28:53.29 row 4 : 1981 | fukuoka mar... | table_csv/203_215.csv | 1 | {
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"what are the names of all the events ito competed in?",
"what times did he complete events in?"
] | 0 | 14:00.8, 29:00.2, 28:53.29, 2:09:37, 2:11:45, 29:49.04 | [
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nt-13446 | col : year | competition | venue | position | event | notes row 1 : 1975 | asian championships | seoul, south korea | 1st | 5,000m | 14:00.8 row 2 : 1979 | asian championships | tokyo, japan | 2nd | 10,000m | 29:00.2 row 3 : 1981 | asian championships | tokyo, japan | 1st | 10,000m | 28:53.29 row 4 : 1981 | fukuoka mar... | table_csv/203_215.csv | 2 | {
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"what are the names of all the events ito competed in?",
"what times did he complete events in?",
"of these times, what is his longest time?"
] | 0 | 29:49.04 | [
"Year",
"Competition",
"Venue",
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"Notes"
] | of these times, what is his longest time? | [
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nt-13446 | col : year | competition | venue | position | event | notes row 1 : 1975 | asian championships | seoul, south korea | 1st | 5,000m | 14:00.8 row 2 : 1979 | asian championships | tokyo, japan | 2nd | 10,000m | 29:00.2 row 3 : 1981 | asian championships | tokyo, japan | 1st | 10,000m | 28:53.29 row 4 : 1981 | fukuoka mar... | table_csv/203_215.csv | 0 | {
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"what were all of ito's times?"
] | 1 | 14:00.8, 29:00.2, 28:53.29, 2:09:37, 2:11:45, 29:49.04 | [
"Year",
"Competition",
"Venue",
"Position",
"Event",
"Notes"
] | what were all of ito's times? | [
[
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"Seoul, South Korea",
"1st",
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[
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"29:00.2",
"28:53.29",
"2:09:37",
"2:11:45",
"29:49.04"
] | what were all of ito's times? || |
nt-13446 | col : year | competition | venue | position | event | notes row 1 : 1975 | asian championships | seoul, south korea | 1st | 5,000m | 14:00.8 row 2 : 1979 | asian championships | tokyo, japan | 2nd | 10,000m | 29:00.2 row 3 : 1981 | asian championships | tokyo, japan | 1st | 10,000m | 28:53.29 row 4 : 1981 | fukuoka mar... | table_csv/203_215.csv | 1 | {
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} | [
"what were all of ito's times?",
"and which time was the longest?"
] | 1 | 29:49.04 | [
"Year",
"Competition",
"Venue",
"Position",
"Event",
"Notes"
] | and which time was the longest? | [
[
"1975",
"Asian Championships",
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[
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[
"1981",
"Asian Championships",
"Tokyo, Japan",
"1st",
"10,000m",
"28:... | [
"29:49.04"
] | and which time was the longest? || what were all of ito's times? |
nt-13446 | col : year | competition | venue | position | event | notes row 1 : 1975 | asian championships | seoul, south korea | 1st | 5,000m | 14:00.8 row 2 : 1979 | asian championships | tokyo, japan | 2nd | 10,000m | 29:00.2 row 3 : 1981 | asian championships | tokyo, japan | 1st | 10,000m | 28:53.29 row 4 : 1981 | fukuoka mar... | table_csv/203_215.csv | 0 | {
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"in what years did ito compete?"
] | 2 | 1975, 1979, 1981, 1981, 1982, 1983 | [
"Year",
"Competition",
"Venue",
"Position",
"Event",
"Notes"
] | in what years did ito compete? | [
[
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"1st",
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"28:... | [
"1975",
"1979",
"1981",
"1981",
"1982",
"1983"
] | in what years did ito compete? || |
nt-13446 | col : year | competition | venue | position | event | notes row 1 : 1975 | asian championships | seoul, south korea | 1st | 5,000m | 14:00.8 row 2 : 1979 | asian championships | tokyo, japan | 2nd | 10,000m | 29:00.2 row 3 : 1981 | asian championships | tokyo, japan | 1st | 10,000m | 28:53.29 row 4 : 1981 | fukuoka mar... | table_csv/203_215.csv | 1 | {
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} | [
"in what years did ito compete?",
"of those years, which years did he compete in the 10,000m?"
] | 2 | 1979, 1981, 1983 | [
"Year",
"Competition",
"Venue",
"Position",
"Event",
"Notes"
] | of those years, which years did he compete in the 10,000m? | [
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[
"1981",
"Asian Championships",
"Tokyo, Japan",
"1st",
"10,000m",
"28:... | [
"1979",
"1981",
"1983"
] | of those years, which years did he compete in the 10,000m? || in what years did ito compete? |
nt-13446 | col : year | competition | venue | position | event | notes row 1 : 1975 | asian championships | seoul, south korea | 1st | 5,000m | 14:00.8 row 2 : 1979 | asian championships | tokyo, japan | 2nd | 10,000m | 29:00.2 row 3 : 1981 | asian championships | tokyo, japan | 1st | 10,000m | 28:53.29 row 4 : 1981 | fukuoka mar... | table_csv/203_215.csv | 2 | {
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} | [
"in what years did ito compete?",
"of those years, which years did he compete in the 10,000m?",
"of those, which year did he have the slowest time?"
] | 2 | 1983 | [
"Year",
"Competition",
"Venue",
"Position",
"Event",
"Notes"
] | of those, which year did he have the slowest time? | [
[
"1975",
"Asian Championships",
"Seoul, South Korea",
"1st",
"5,000m",
"14:00.8"
],
[
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],
[
"1981",
"Asian Championships",
"Tokyo, Japan",
"1st",
"10,000m",
"28:... | [
"1983"
] | of those, which year did he have the slowest time? || of those years, which years did he compete in the 10,000m? | in what years did ito compete? |
nt-13446 | col : year | competition | venue | position | event | notes row 1 : 1975 | asian championships | seoul, south korea | 1st | 5,000m | 14:00.8 row 2 : 1979 | asian championships | tokyo, japan | 2nd | 10,000m | 29:00.2 row 3 : 1981 | asian championships | tokyo, japan | 1st | 10,000m | 28:53.29 row 4 : 1981 | fukuoka mar... | table_csv/203_215.csv | 3 | {
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} | [
"in what years did ito compete?",
"of those years, which years did he compete in the 10,000m?",
"of those, which year did he have the slowest time?",
"what was his time in 1983?"
] | 2 | 29:49.04 | [
"Year",
"Competition",
"Venue",
"Position",
"Event",
"Notes"
] | what was his time in 1983? | [
[
"1975",
"Asian Championships",
"Seoul, South Korea",
"1st",
"5,000m",
"14:00.8"
],
[
"1979",
"Asian Championships",
"Tokyo, Japan",
"2nd",
"10,000m",
"29:00.2"
],
[
"1981",
"Asian Championships",
"Tokyo, Japan",
"1st",
"10,000m",
"28:... | [
"29:49.04"
] | what was his time in 1983? || of those, which year did he have the slowest time? | of those years, which years did he compete in the 10,000m? | in what years did ito compete? |
nt-13338 | col : # | date | film | gross | top ten places row 1 : 1 | january 5, 2014 | frozen | $2,441,278 | paranormal activity: the marked ones (#2), end row 2 : 2 | january 12, 2014 | frozen | $1,193,153 | the wolf of wall street (#3) row 3 : 3 | january 19, 2014 | ?que le dijiste a dios? | $1,607,603 | jack ryan: shadow recr... | table_csv/204_7.csv | 0 | {
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} | [
"what are all the film titles?"
] | 0 | frozen, frozen, ?que le dijiste a dios?, i, frankenstein, 47 ronin, the lego movie, casese quien pueda, casese quien pueda, mr. peabody & sherman, 300: rise of an empire, 300: rise of an empire, noah, captain america: the winter soldier | [
"#",
"Date",
"Film",
"Gross",
"Top Ten Places"
] | what are all the film titles? | [
[
"1",
"January 5, 2014",
"Frozen",
"$2,441,278",
"Paranormal Activity: The Marked Ones (#2), End"
],
[
"2",
"January 12, 2014",
"Frozen",
"$1,193,153",
"The Wolf of Wall Street (#3)"
],
[
"3",
"January 19, 2014",
"?Que le Dijiste a Dios?",
"$1,607,603... | [
"Frozen",
"Frozen",
"?Que le Dijiste a Dios?",
"I, Frankenstein",
"47 Ronin",
"The Lego Movie",
"Casese Quien Pueda",
"Casese Quien Pueda",
"Mr. Peabody & Sherman",
"300: Rise of an Empire",
"300: Rise of an Empire",
"Noah",
"Captain America: The Winter Soldier"
] | what are all the film titles? || |
nt-13338 | col : # | date | film | gross | top ten places row 1 : 1 | january 5, 2014 | frozen | $2,441,278 | paranormal activity: the marked ones (#2), end row 2 : 2 | january 12, 2014 | frozen | $1,193,153 | the wolf of wall street (#3) row 3 : 3 | january 19, 2014 | ?que le dijiste a dios? | $1,607,603 | jack ryan: shadow recr... | table_csv/204_7.csv | 1 | {
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} | [
"what are all the film titles?",
"was was the gross for each film?"
] | 0 | $2,441,278, $1,193,153, $1,607,603, $2,017,410, $1,916,620, $3,823,198, $3,287,643, $2,228,705, $2,687,778, $5,468,513, $2,891,351, $5,743,388, $8,596,889 | [
"#",
"Date",
"Film",
"Gross",
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"January 5, 2014",
"Frozen",
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],
[
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"January 12, 2014",
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"$1,193,153",
"The Wolf of Wall Street (#3)"
],
[
"3",
"January 19, 2014",
"?Que le Dijiste a Dios?",
"$1,607,603... | [
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"$2,687,778",
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"$2,891,351",
"$5,743,388",
"$8,596,889"
] | was was the gross for each film? || what are all the film titles? |
nt-13338 | col : # | date | film | gross | top ten places row 1 : 1 | january 5, 2014 | frozen | $2,441,278 | paranormal activity: the marked ones (#2), end row 2 : 2 | january 12, 2014 | frozen | $1,193,153 | the wolf of wall street (#3) row 3 : 3 | january 19, 2014 | ?que le dijiste a dios? | $1,607,603 | jack ryan: shadow recr... | table_csv/204_7.csv | 2 | {
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} | [
"what are all the film titles?",
"was was the gross for each film?",
"what about just for mr. peabody & sherman and the lego movie?"
] | 0 | $3,823,198, $2,687,778 | [
"#",
"Date",
"Film",
"Gross",
"Top Ten Places"
] | what about just for mr. peabody & sherman and the lego movie? | [
[
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"January 5, 2014",
"Frozen",
"$2,441,278",
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[
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"The Wolf of Wall Street (#3)"
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[
"3",
"January 19, 2014",
"?Que le Dijiste a Dios?",
"$1,607,603... | [
"$3,823,198",
"$2,687,778"
] | what about just for mr. peabody & sherman and the lego movie? || was was the gross for each film? | what are all the film titles? |
nt-13338 | col : # | date | film | gross | top ten places row 1 : 1 | january 5, 2014 | frozen | $2,441,278 | paranormal activity: the marked ones (#2), end row 2 : 2 | january 12, 2014 | frozen | $1,193,153 | the wolf of wall street (#3) row 3 : 3 | january 19, 2014 | ?que le dijiste a dios? | $1,607,603 | jack ryan: shadow recr... | table_csv/204_7.csv | 3 | {
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} | [
"what are all the film titles?",
"was was the gross for each film?",
"what about just for mr. peabody & sherman and the lego movie?",
"and of those two films, which grossed more?"
] | 0 | the lego movie | [
"#",
"Date",
"Film",
"Gross",
"Top Ten Places"
] | and of those two films, which grossed more? | [
[
"1",
"January 5, 2014",
"Frozen",
"$2,441,278",
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[
"2",
"January 12, 2014",
"Frozen",
"$1,193,153",
"The Wolf of Wall Street (#3)"
],
[
"3",
"January 19, 2014",
"?Que le Dijiste a Dios?",
"$1,607,603... | [
"The Lego Movie"
] | and of those two films, which grossed more? || what about just for mr. peabody & sherman and the lego movie? | was was the gross for each film? | what are all the film titles? |
nt-13338 | col : # | date | film | gross | top ten places row 1 : 1 | january 5, 2014 | frozen | $2,441,278 | paranormal activity: the marked ones (#2), end row 2 : 2 | january 12, 2014 | frozen | $1,193,153 | the wolf of wall street (#3) row 3 : 3 | january 19, 2014 | ?que le dijiste a dios? | $1,607,603 | jack ryan: shadow recr... | table_csv/204_7.csv | 0 | {
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} | [
"what where the movies of the 2014 box office number-one films in mexico?"
] | 1 | frozen, frozen, ?que le dijiste a dios?, i, frankenstein, 47 ronin, the lego movie, casese quien pueda, casese quien pueda, mr. peabody & sherman, 300: rise of an empire, 300: rise of an empire, noah, captain america: the winter soldier | [
"#",
"Date",
"Film",
"Gross",
"Top Ten Places"
] | what where the movies of the 2014 box office number-one films in mexico? | [
[
"1",
"January 5, 2014",
"Frozen",
"$2,441,278",
"Paranormal Activity: The Marked Ones (#2), End"
],
[
"2",
"January 12, 2014",
"Frozen",
"$1,193,153",
"The Wolf of Wall Street (#3)"
],
[
"3",
"January 19, 2014",
"?Que le Dijiste a Dios?",
"$1,607,603... | [
"Frozen",
"Frozen",
"?Que le Dijiste a Dios?",
"I, Frankenstein",
"47 Ronin",
"The Lego Movie",
"Casese Quien Pueda",
"Casese Quien Pueda",
"Mr. Peabody & Sherman",
"300: Rise of an Empire",
"300: Rise of an Empire",
"Noah",
"Captain America: The Winter Soldier"
] | what where the movies of the 2014 box office number-one films in mexico? || |
nt-13338 | col : # | date | film | gross | top ten places row 1 : 1 | january 5, 2014 | frozen | $2,441,278 | paranormal activity: the marked ones (#2), end row 2 : 2 | january 12, 2014 | frozen | $1,193,153 | the wolf of wall street (#3) row 3 : 3 | january 19, 2014 | ?que le dijiste a dios? | $1,607,603 | jack ryan: shadow recr... | table_csv/204_7.csv | 1 | {
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} | [
"what where the movies of the 2014 box office number-one films in mexico?",
"how much money did mr. peabody make?"
] | 1 | $2,687,778 | [
"#",
"Date",
"Film",
"Gross",
"Top Ten Places"
] | how much money did mr. peabody make? | [
[
"1",
"January 5, 2014",
"Frozen",
"$2,441,278",
"Paranormal Activity: The Marked Ones (#2), End"
],
[
"2",
"January 12, 2014",
"Frozen",
"$1,193,153",
"The Wolf of Wall Street (#3)"
],
[
"3",
"January 19, 2014",
"?Que le Dijiste a Dios?",
"$1,607,603... | [
"$2,687,778"
] | how much money did mr. peabody make? || what where the movies of the 2014 box office number-one films in mexico? |
nt-13338 | col : # | date | film | gross | top ten places row 1 : 1 | january 5, 2014 | frozen | $2,441,278 | paranormal activity: the marked ones (#2), end row 2 : 2 | january 12, 2014 | frozen | $1,193,153 | the wolf of wall street (#3) row 3 : 3 | january 19, 2014 | ?que le dijiste a dios? | $1,607,603 | jack ryan: shadow recr... | table_csv/204_7.csv | 2 | {
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} | [
"what where the movies of the 2014 box office number-one films in mexico?",
"how much money did mr. peabody make?",
"how much did the lego movie make?"
] | 1 | $3,823,198 | [
"#",
"Date",
"Film",
"Gross",
"Top Ten Places"
] | how much did the lego movie make? | [
[
"1",
"January 5, 2014",
"Frozen",
"$2,441,278",
"Paranormal Activity: The Marked Ones (#2), End"
],
[
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"January 12, 2014",
"Frozen",
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"The Wolf of Wall Street (#3)"
],
[
"3",
"January 19, 2014",
"?Que le Dijiste a Dios?",
"$1,607,603... | [
"$3,823,198"
] | how much did the lego movie make? || how much money did mr. peabody make? | what where the movies of the 2014 box office number-one films in mexico? |
nt-13338 | col : # | date | film | gross | top ten places row 1 : 1 | january 5, 2014 | frozen | $2,441,278 | paranormal activity: the marked ones (#2), end row 2 : 2 | january 12, 2014 | frozen | $1,193,153 | the wolf of wall street (#3) row 3 : 3 | january 19, 2014 | ?que le dijiste a dios? | $1,607,603 | jack ryan: shadow recr... | table_csv/204_7.csv | 3 | {
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2
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"row_index": [
5
]
} | [
"what where the movies of the 2014 box office number-one films in mexico?",
"how much money did mr. peabody make?",
"how much did the lego movie make?",
"which of those two made mas money?"
] | 1 | the lego movie | [
"#",
"Date",
"Film",
"Gross",
"Top Ten Places"
] | which of those two made mas money? | [
[
"1",
"January 5, 2014",
"Frozen",
"$2,441,278",
"Paranormal Activity: The Marked Ones (#2), End"
],
[
"2",
"January 12, 2014",
"Frozen",
"$1,193,153",
"The Wolf of Wall Street (#3)"
],
[
"3",
"January 19, 2014",
"?Que le Dijiste a Dios?",
"$1,607,603... | [
"The Lego Movie"
] | which of those two made mas money? || how much did the lego movie make? | how much money did mr. peabody make? | what where the movies of the 2014 box office number-one films in mexico? |
nt-13338 | col : # | date | film | gross | top ten places row 1 : 1 | january 5, 2014 | frozen | $2,441,278 | paranormal activity: the marked ones (#2), end row 2 : 2 | january 12, 2014 | frozen | $1,193,153 | the wolf of wall street (#3) row 3 : 3 | january 19, 2014 | ?que le dijiste a dios? | $1,607,603 | jack ryan: shadow recr... | table_csv/204_7.csv | 0 | {
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6,
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10,
11,
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]
} | [
"what mounds of money were made?"
] | 2 | $2,441,278, $1,193,153, $1,607,603, $2,017,410, $1,916,620, $3,823,198, $3,287,643, $2,228,705, $2,687,778, $5,468,513, $2,891,351, $5,743,388, $8,596,889 | [
"#",
"Date",
"Film",
"Gross",
"Top Ten Places"
] | what mounds of money were made? | [
[
"1",
"January 5, 2014",
"Frozen",
"$2,441,278",
"Paranormal Activity: The Marked Ones (#2), End"
],
[
"2",
"January 12, 2014",
"Frozen",
"$1,193,153",
"The Wolf of Wall Street (#3)"
],
[
"3",
"January 19, 2014",
"?Que le Dijiste a Dios?",
"$1,607,603... | [
"$2,441,278",
"$1,193,153",
"$1,607,603",
"$2,017,410",
"$1,916,620",
"$3,823,198",
"$3,287,643",
"$2,228,705",
"$2,687,778",
"$5,468,513",
"$2,891,351",
"$5,743,388",
"$8,596,889"
] | what mounds of money were made? || |
nt-13338 | col : # | date | film | gross | top ten places row 1 : 1 | january 5, 2014 | frozen | $2,441,278 | paranormal activity: the marked ones (#2), end row 2 : 2 | january 12, 2014 | frozen | $1,193,153 | the wolf of wall street (#3) row 3 : 3 | january 19, 2014 | ?que le dijiste a dios? | $1,607,603 | jack ryan: shadow recr... | table_csv/204_7.csv | 1 | {
"column_index": [
3,
3
],
"row_index": [
5,
8
]
} | [
"what mounds of money were made?",
"which of these were for mr. peabody and the lego movie?"
] | 2 | $3,823,198, $2,687,778 | [
"#",
"Date",
"Film",
"Gross",
"Top Ten Places"
] | which of these were for mr. peabody and the lego movie? | [
[
"1",
"January 5, 2014",
"Frozen",
"$2,441,278",
"Paranormal Activity: The Marked Ones (#2), End"
],
[
"2",
"January 12, 2014",
"Frozen",
"$1,193,153",
"The Wolf of Wall Street (#3)"
],
[
"3",
"January 19, 2014",
"?Que le Dijiste a Dios?",
"$1,607,603... | [
"$3,823,198",
"$2,687,778"
] | which of these were for mr. peabody and the lego movie? || what mounds of money were made? |
nt-13338 | col : # | date | film | gross | top ten places row 1 : 1 | january 5, 2014 | frozen | $2,441,278 | paranormal activity: the marked ones (#2), end row 2 : 2 | january 12, 2014 | frozen | $1,193,153 | the wolf of wall street (#3) row 3 : 3 | january 19, 2014 | ?que le dijiste a dios? | $1,607,603 | jack ryan: shadow recr... | table_csv/204_7.csv | 2 | {
"column_index": [
3
],
"row_index": [
5
]
} | [
"what mounds of money were made?",
"which of these were for mr. peabody and the lego movie?",
"of these, which is higher?"
] | 2 | $3,823,198 | [
"#",
"Date",
"Film",
"Gross",
"Top Ten Places"
] | of these, which is higher? | [
[
"1",
"January 5, 2014",
"Frozen",
"$2,441,278",
"Paranormal Activity: The Marked Ones (#2), End"
],
[
"2",
"January 12, 2014",
"Frozen",
"$1,193,153",
"The Wolf of Wall Street (#3)"
],
[
"3",
"January 19, 2014",
"?Que le Dijiste a Dios?",
"$1,607,603... | [
"$3,823,198"
] | of these, which is higher? || which of these were for mr. peabody and the lego movie? | what mounds of money were made? |
nt-13338 | col : # | date | film | gross | top ten places row 1 : 1 | january 5, 2014 | frozen | $2,441,278 | paranormal activity: the marked ones (#2), end row 2 : 2 | january 12, 2014 | frozen | $1,193,153 | the wolf of wall street (#3) row 3 : 3 | january 19, 2014 | ?que le dijiste a dios? | $1,607,603 | jack ryan: shadow recr... | table_csv/204_7.csv | 3 | {
"column_index": [
2
],
"row_index": [
5
]
} | [
"what mounds of money were made?",
"which of these were for mr. peabody and the lego movie?",
"of these, which is higher?",
"which movie made this mount?"
] | 2 | the lego movie | [
"#",
"Date",
"Film",
"Gross",
"Top Ten Places"
] | which movie made this mount? | [
[
"1",
"January 5, 2014",
"Frozen",
"$2,441,278",
"Paranormal Activity: The Marked Ones (#2), End"
],
[
"2",
"January 12, 2014",
"Frozen",
"$1,193,153",
"The Wolf of Wall Street (#3)"
],
[
"3",
"January 19, 2014",
"?Que le Dijiste a Dios?",
"$1,607,603... | [
"The Lego Movie"
] | which movie made this mount? || of these, which is higher? | which of these were for mr. peabody and the lego movie? | what mounds of money were made? |
nt-5049 | col : code | county | former province | area (km2) | population census 2009 | capital row 1 : 1.0 | mombasa | coast | 212.5 | 939,370 | mombasa (city) row 2 : 2.0 | kwale | coast | 8,270.3 | 649,931 | kwale row 3 : 3.0 | kilifi | coast | 12,245.9 | 1,109,735 | kilifi row 4 : 4.0 | tana river | coast | 35,375.8 | 240,07... | table_csv/204_778.csv | 0 | {
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1,
1,
1,
1,
1
],
"row_index": [
0,
1,
2,
3,
4,
5
]
} | [
"what are all of the counties in coast province?"
] | 0 | mombasa, kwale, kilifi, tana river, lamu, taita-taveta | [
"Code",
"County",
"Former Province",
"Area (km2)",
"Population Census 2009",
"Capital"
] | what are all of the counties in coast province? | [
[
"1.0",
"Mombasa",
"Coast",
"212.5",
"939,370",
"Mombasa (City)"
],
[
"2.0",
"Kwale",
"Coast",
"8,270.3",
"649,931",
"Kwale"
],
[
"3.0",
"Kilifi",
"Coast",
"12,245.9",
"1,109,735",
"Kilifi"
],
[
"4.0",
"Tana River",
"Co... | [
"Mombasa",
"Kwale",
"Kilifi",
"Tana River",
"Lamu",
"Taita-Taveta"
] | what are all of the counties in coast province? || |
nt-5049 | col : code | county | former province | area (km2) | population census 2009 | capital row 1 : 1.0 | mombasa | coast | 212.5 | 939,370 | mombasa (city) row 2 : 2.0 | kwale | coast | 8,270.3 | 649,931 | kwale row 3 : 3.0 | kilifi | coast | 12,245.9 | 1,109,735 | kilifi row 4 : 4.0 | tana river | coast | 35,375.8 | 240,07... | table_csv/204_778.csv | 1 | {
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4,
4,
4,
4,
4,
4
],
"row_index": [
0,
1,
2,
3,
4,
5
]
} | [
"what are all of the counties in coast province?",
"and what is the population of each?"
] | 0 | 939,370, 649,931, 1,109,735, 240,075, 101,539, 284,657 | [
"Code",
"County",
"Former Province",
"Area (km2)",
"Population Census 2009",
"Capital"
] | and what is the population of each? | [
[
"1.0",
"Mombasa",
"Coast",
"212.5",
"939,370",
"Mombasa (City)"
],
[
"2.0",
"Kwale",
"Coast",
"8,270.3",
"649,931",
"Kwale"
],
[
"3.0",
"Kilifi",
"Coast",
"12,245.9",
"1,109,735",
"Kilifi"
],
[
"4.0",
"Tana River",
"Co... | [
"939,370",
"649,931",
"1,109,735",
"240,075",
"101,539",
"284,657"
] | and what is the population of each? || what are all of the counties in coast province? |
nt-5049 | col : code | county | former province | area (km2) | population census 2009 | capital row 1 : 1.0 | mombasa | coast | 212.5 | 939,370 | mombasa (city) row 2 : 2.0 | kwale | coast | 8,270.3 | 649,931 | kwale row 3 : 3.0 | kilifi | coast | 12,245.9 | 1,109,735 | kilifi row 4 : 4.0 | tana river | coast | 35,375.8 | 240,07... | table_csv/204_778.csv | 2 | {
"column_index": [
1
],
"row_index": [
0
]
} | [
"what are all of the counties in coast province?",
"and what is the population of each?",
"between mombasa and tana river, which had a larger population?"
] | 0 | mombasa | [
"Code",
"County",
"Former Province",
"Area (km2)",
"Population Census 2009",
"Capital"
] | between mombasa and tana river, which had a larger population? | [
[
"1.0",
"Mombasa",
"Coast",
"212.5",
"939,370",
"Mombasa (City)"
],
[
"2.0",
"Kwale",
"Coast",
"8,270.3",
"649,931",
"Kwale"
],
[
"3.0",
"Kilifi",
"Coast",
"12,245.9",
"1,109,735",
"Kilifi"
],
[
"4.0",
"Tana River",
"Co... | [
"Mombasa"
] | between mombasa and tana river, which had a larger population? || and what is the population of each? | what are all of the counties in coast province? |
nt-5049 | col : code | county | former province | area (km2) | population census 2009 | capital row 1 : 1.0 | mombasa | coast | 212.5 | 939,370 | mombasa (city) row 2 : 2.0 | kwale | coast | 8,270.3 | 649,931 | kwale row 3 : 3.0 | kilifi | coast | 12,245.9 | 1,109,735 | kilifi row 4 : 4.0 | tana river | coast | 35,375.8 | 240,07... | table_csv/204_778.csv | 0 | {
"column_index": [
1,
1
],
"row_index": [
0,
5
]
} | [
"what were the the counties of coast province?"
] | 1 | mombasa, taita-taveta | [
"Code",
"County",
"Former Province",
"Area (km2)",
"Population Census 2009",
"Capital"
] | what were the the counties of coast province? | [
[
"1.0",
"Mombasa",
"Coast",
"212.5",
"939,370",
"Mombasa (City)"
],
[
"2.0",
"Kwale",
"Coast",
"8,270.3",
"649,931",
"Kwale"
],
[
"3.0",
"Kilifi",
"Coast",
"12,245.9",
"1,109,735",
"Kilifi"
],
[
"4.0",
"Tana River",
"Co... | [
"Mombasa",
"Taita-Taveta"
] | what were the the counties of coast province? || |
nt-5049 | col : code | county | former province | area (km2) | population census 2009 | capital row 1 : 1.0 | mombasa | coast | 212.5 | 939,370 | mombasa (city) row 2 : 2.0 | kwale | coast | 8,270.3 | 649,931 | kwale row 3 : 3.0 | kilifi | coast | 12,245.9 | 1,109,735 | kilifi row 4 : 4.0 | tana river | coast | 35,375.8 | 240,07... | table_csv/204_778.csv | 1 | {
"column_index": [
4
],
"row_index": [
0
]
} | [
"what were the the counties of coast province?",
"what was the amount of people in mombasa?"
] | 1 | 939,370 | [
"Code",
"County",
"Former Province",
"Area (km2)",
"Population Census 2009",
"Capital"
] | what was the amount of people in mombasa? | [
[
"1.0",
"Mombasa",
"Coast",
"212.5",
"939,370",
"Mombasa (City)"
],
[
"2.0",
"Kwale",
"Coast",
"8,270.3",
"649,931",
"Kwale"
],
[
"3.0",
"Kilifi",
"Coast",
"12,245.9",
"1,109,735",
"Kilifi"
],
[
"4.0",
"Tana River",
"Co... | [
"939,370"
] | what was the amount of people in mombasa? || what were the the counties of coast province? |
nt-5049 | col : code | county | former province | area (km2) | population census 2009 | capital row 1 : 1.0 | mombasa | coast | 212.5 | 939,370 | mombasa (city) row 2 : 2.0 | kwale | coast | 8,270.3 | 649,931 | kwale row 3 : 3.0 | kilifi | coast | 12,245.9 | 1,109,735 | kilifi row 4 : 4.0 | tana river | coast | 35,375.8 | 240,07... | table_csv/204_778.csv | 2 | {
"column_index": [
4
],
"row_index": [
3
]
} | [
"what were the the counties of coast province?",
"what was the amount of people in mombasa?",
"what was the amount of people in tana river?"
] | 1 | 240,075 | [
"Code",
"County",
"Former Province",
"Area (km2)",
"Population Census 2009",
"Capital"
] | what was the amount of people in tana river? | [
[
"1.0",
"Mombasa",
"Coast",
"212.5",
"939,370",
"Mombasa (City)"
],
[
"2.0",
"Kwale",
"Coast",
"8,270.3",
"649,931",
"Kwale"
],
[
"3.0",
"Kilifi",
"Coast",
"12,245.9",
"1,109,735",
"Kilifi"
],
[
"4.0",
"Tana River",
"Co... | [
"240,075"
] | what was the amount of people in tana river? || what was the amount of people in mombasa? | what were the the counties of coast province? |
nt-5049 | col : code | county | former province | area (km2) | population census 2009 | capital row 1 : 1.0 | mombasa | coast | 212.5 | 939,370 | mombasa (city) row 2 : 2.0 | kwale | coast | 8,270.3 | 649,931 | kwale row 3 : 3.0 | kilifi | coast | 12,245.9 | 1,109,735 | kilifi row 4 : 4.0 | tana river | coast | 35,375.8 | 240,07... | table_csv/204_778.csv | 3 | {
"column_index": [
1
],
"row_index": [
0
]
} | [
"what were the the counties of coast province?",
"what was the amount of people in mombasa?",
"what was the amount of people in tana river?",
"which of those two had a higher population?"
] | 1 | mombasa | [
"Code",
"County",
"Former Province",
"Area (km2)",
"Population Census 2009",
"Capital"
] | which of those two had a higher population? | [
[
"1.0",
"Mombasa",
"Coast",
"212.5",
"939,370",
"Mombasa (City)"
],
[
"2.0",
"Kwale",
"Coast",
"8,270.3",
"649,931",
"Kwale"
],
[
"3.0",
"Kilifi",
"Coast",
"12,245.9",
"1,109,735",
"Kilifi"
],
[
"4.0",
"Tana River",
"Co... | [
"Mombasa"
] | which of those two had a higher population? || what was the amount of people in tana river? | what was the amount of people in mombasa? | what were the the counties of coast province? |
nt-5049 | col : code | county | former province | area (km2) | population census 2009 | capital row 1 : 1.0 | mombasa | coast | 212.5 | 939,370 | mombasa (city) row 2 : 2.0 | kwale | coast | 8,270.3 | 649,931 | kwale row 3 : 3.0 | kilifi | coast | 12,245.9 | 1,109,735 | kilifi row 4 : 4.0 | tana river | coast | 35,375.8 | 240,07... | table_csv/204_778.csv | 0 | {
"column_index": [
4
],
"row_index": [
3
]
} | [
"what was the population of tana river?"
] | 2 | 240,075 | [
"Code",
"County",
"Former Province",
"Area (km2)",
"Population Census 2009",
"Capital"
] | what was the population of tana river? | [
[
"1.0",
"Mombasa",
"Coast",
"212.5",
"939,370",
"Mombasa (City)"
],
[
"2.0",
"Kwale",
"Coast",
"8,270.3",
"649,931",
"Kwale"
],
[
"3.0",
"Kilifi",
"Coast",
"12,245.9",
"1,109,735",
"Kilifi"
],
[
"4.0",
"Tana River",
"Co... | [
"240,075"
] | what was the population of tana river? || |
nt-5049 | col : code | county | former province | area (km2) | population census 2009 | capital row 1 : 1.0 | mombasa | coast | 212.5 | 939,370 | mombasa (city) row 2 : 2.0 | kwale | coast | 8,270.3 | 649,931 | kwale row 3 : 3.0 | kilifi | coast | 12,245.9 | 1,109,735 | kilifi row 4 : 4.0 | tana river | coast | 35,375.8 | 240,07... | table_csv/204_778.csv | 1 | {
"column_index": [
4
],
"row_index": [
0
]
} | [
"what was the population of tana river?",
"what was the population of mombasa river?"
] | 2 | 939,370 | [
"Code",
"County",
"Former Province",
"Area (km2)",
"Population Census 2009",
"Capital"
] | what was the population of mombasa river? | [
[
"1.0",
"Mombasa",
"Coast",
"212.5",
"939,370",
"Mombasa (City)"
],
[
"2.0",
"Kwale",
"Coast",
"8,270.3",
"649,931",
"Kwale"
],
[
"3.0",
"Kilifi",
"Coast",
"12,245.9",
"1,109,735",
"Kilifi"
],
[
"4.0",
"Tana River",
"Co... | [
"939,370"
] | what was the population of mombasa river? || what was the population of tana river? |
nt-5049 | col : code | county | former province | area (km2) | population census 2009 | capital row 1 : 1.0 | mombasa | coast | 212.5 | 939,370 | mombasa (city) row 2 : 2.0 | kwale | coast | 8,270.3 | 649,931 | kwale row 3 : 3.0 | kilifi | coast | 12,245.9 | 1,109,735 | kilifi row 4 : 4.0 | tana river | coast | 35,375.8 | 240,07... | table_csv/204_778.csv | 2 | {
"column_index": [
1
],
"row_index": [
0
]
} | [
"what was the population of tana river?",
"what was the population of mombasa river?",
"which river was longer out of tana and mombasa?"
] | 2 | mombasa | [
"Code",
"County",
"Former Province",
"Area (km2)",
"Population Census 2009",
"Capital"
] | which river was longer out of tana and mombasa? | [
[
"1.0",
"Mombasa",
"Coast",
"212.5",
"939,370",
"Mombasa (City)"
],
[
"2.0",
"Kwale",
"Coast",
"8,270.3",
"649,931",
"Kwale"
],
[
"3.0",
"Kilifi",
"Coast",
"12,245.9",
"1,109,735",
"Kilifi"
],
[
"4.0",
"Tana River",
"Co... | [
"Mombasa"
] | which river was longer out of tana and mombasa? || what was the population of mombasa river? | what was the population of tana river? |
nt-5041 | col : place | player | country | score | to par row 1 : 1 | tiger woods | united states | 67-66-67=200 | -16 row 2 : t2 | thomas bjorn | denmark | 69-69-68=206 | -10 row 3 : t2 | david duval | united states | 70-70-66=206 | -10 row 4 : t4 | darren clarke | northern ireland | 70-69-68=207 | -9 row 5 : t4 | loren roberts... | table_csv/203_230.csv | 0 | {
"column_index": [
1,
1,
1
],
"row_index": [
1,
3,
6
]
} | [
"which players did not play for the united states?"
] | 0 | thomas bjorn, darren clarke, ernie els | [
"Place",
"Player",
"Country",
"Score",
"To par"
] | which players did not play for the united states? | [
[
"1",
"Tiger Woods",
"United States",
"67-66-67=200",
"-16"
],
[
"T2",
"Thomas Bjorn",
"Denmark",
"69-69-68=206",
"-10"
],
[
"T2",
"David Duval",
"United States",
"70-70-66=206",
"-10"
],
[
"T4",
"Darren Clarke",
"Northern Ireland"... | [
"Thomas Bjorn",
"Darren Clarke",
"Ernie Els"
] | which players did not play for the united states? || |
nt-5041 | col : place | player | country | score | to par row 1 : 1 | tiger woods | united states | 67-66-67=200 | -16 row 2 : t2 | thomas bjorn | denmark | 69-69-68=206 | -10 row 3 : t2 | david duval | united states | 70-70-66=206 | -10 row 4 : t4 | darren clarke | northern ireland | 70-69-68=207 | -9 row 5 : t4 | loren roberts... | table_csv/203_230.csv | 1 | {
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"which players did not play for the united states?",
"of these, who played for european countries?"
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"To par"
] | of these, who played for european countries? | [
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"Northern Ireland"... | [
"Thomas Bjorn",
"Darren Clarke"
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nt-5041 | col : place | player | country | score | to par row 1 : 1 | tiger woods | united states | 67-66-67=200 | -16 row 2 : t2 | thomas bjorn | denmark | 69-69-68=206 | -10 row 3 : t2 | david duval | united states | 70-70-66=206 | -10 row 4 : t4 | darren clarke | northern ireland | 70-69-68=207 | -9 row 5 : t4 | loren roberts... | table_csv/203_230.csv | 2 | {
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"which players did not play for the united states?",
"of these, who played for european countries?",
"of these, who had the lower score?"
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"To par"
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[
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"Northern Ireland"... | [
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] | of these, who had the lower score? || of these, who played for european countries? | which players did not play for the united states? |
nt-5041 | col : place | player | country | score | to par row 1 : 1 | tiger woods | united states | 67-66-67=200 | -16 row 2 : t2 | thomas bjorn | denmark | 69-69-68=206 | -10 row 3 : t2 | david duval | united states | 70-70-66=206 | -10 row 4 : t4 | darren clarke | northern ireland | 70-69-68=207 | -9 row 5 : t4 | loren roberts... | table_csv/203_230.csv | 0 | {
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"which golfers were placed in the t2-t7 categories?"
] | 1 | thomas bjorn, david duval, darren clarke, loren roberts, david toms, ernie els, steve flesch, tom lehman, dennis paulson | [
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"Steve Flesch",
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"Dennis Paulson"
] | which golfers were placed in the t2-t7 categories? || |
nt-5041 | col : place | player | country | score | to par row 1 : 1 | tiger woods | united states | 67-66-67=200 | -16 row 2 : t2 | thomas bjorn | denmark | 69-69-68=206 | -10 row 3 : t2 | david duval | united states | 70-70-66=206 | -10 row 4 : t4 | darren clarke | northern ireland | 70-69-68=207 | -9 row 5 : t4 | loren roberts... | table_csv/203_230.csv | 1 | {
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"which golfers were placed in the t2-t7 categories?",
"which of those golfers were placed in the t2 category?"
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"Player",
"Country",
"Score",
"To par"
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"Northern Ireland"... | [
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nt-5041 | col : place | player | country | score | to par row 1 : 1 | tiger woods | united states | 67-66-67=200 | -16 row 2 : t2 | thomas bjorn | denmark | 69-69-68=206 | -10 row 3 : t2 | david duval | united states | 70-70-66=206 | -10 row 4 : t4 | darren clarke | northern ireland | 70-69-68=207 | -9 row 5 : t4 | loren roberts... | table_csv/203_230.csv | 2 | {
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"which golfers were placed in the t2-t7 categories?",
"which of those golfers were placed in the t2 category?",
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"Country",
"Score",
"To par"
] | besides david duval, who was the other golfer in the t2 category? | [
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[
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] | besides david duval, who was the other golfer in the t2 category? || which of those golfers were placed in the t2 category? | which golfers were placed in the t2-t7 categories? |
nt-5041 | col : place | player | country | score | to par row 1 : 1 | tiger woods | united states | 67-66-67=200 | -16 row 2 : t2 | thomas bjorn | denmark | 69-69-68=206 | -10 row 3 : t2 | david duval | united states | 70-70-66=206 | -10 row 4 : t4 | darren clarke | northern ireland | 70-69-68=207 | -9 row 5 : t4 | loren roberts... | table_csv/203_230.csv | 0 | {
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"who are all the players?"
] | 2 | tiger woods, thomas bjorn, david duval, darren clarke, loren roberts, david toms, ernie els, steve flesch, tom lehman, dennis paulson | [
"Place",
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"Score",
"To par"
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[
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"Darren Clarke",
"Loren Roberts",
"David Toms",
"Ernie Els",
"Steve Flesch",
"Tom Lehman",
"Dennis Paulson"
] | who are all the players? || |
nt-5041 | col : place | player | country | score | to par row 1 : 1 | tiger woods | united states | 67-66-67=200 | -16 row 2 : t2 | thomas bjorn | denmark | 69-69-68=206 | -10 row 3 : t2 | david duval | united states | 70-70-66=206 | -10 row 4 : t4 | darren clarke | northern ireland | 70-69-68=207 | -9 row 5 : t4 | loren roberts... | table_csv/203_230.csv | 1 | {
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[
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"Northern Ireland"... | [
"Thomas Bjorn",
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] | which of these was in the t2 category? || who are all the players? |
nt-5041 | col : place | player | country | score | to par row 1 : 1 | tiger woods | united states | 67-66-67=200 | -16 row 2 : t2 | thomas bjorn | denmark | 69-69-68=206 | -10 row 3 : t2 | david duval | united states | 70-70-66=206 | -10 row 4 : t4 | darren clarke | northern ireland | 70-69-68=207 | -9 row 5 : t4 | loren roberts... | table_csv/203_230.csv | 2 | {
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] | 2 | thomas bjorn | [
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[
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"Darren Clarke",
"Northern Ireland"... | [
"Thomas Bjorn"
] | which one is not david duval? || which of these was in the t2 category? | who are all the players? |
nt-7950 | col : location | reactor type | status | net capacity (mwe) | gross capacity (mwe) row 1 : chernobyl-1 | rbmk-1000 | shut down in 1996 | 740 | 800 row 2 : chernobyl-2 | rbmk-1000 | shut down in 1991 | 925 | 1,000 row 3 : chernobyl-3 | rbmk-1000 | shut down in 2000 | 925 | 1,000 row 4 : chernobyl-4 | rbmk-1000 | destroy... | table_csv/203_78.csv | 0 | {
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} | [
"at what locations is the net capacity above 900 mwe?",
"which of these has a net capacity under 1000 mwe?",
"which of those went operational?",
"which of these are not still operational?",
"which locations were shut down after 2020?",
"of those what locations have the month listed for shut down?"
] | 0 | leningrad-3, leningrad-4, smolensk-1, smolensk-3 | [
"Location",
"Reactor type",
"Status",
"Net Capacity (MWe)",
"Gross Capacity (MWe)"
] | of those what locations have the month listed for shut down? | [
[
"Chernobyl-1",
"RBMK-1000",
"shut down in 1996",
"740",
"800"
],
[
"Chernobyl-2",
"RBMK-1000",
"shut down in 1991",
"925",
"1,000"
],
[
"Chernobyl-3",
"RBMK-1000",
"shut down in 2000",
"925",
"1,000"
],
[
"Chernobyl-4",
"RBMK-1000",
... | [
"Leningrad-3",
"Leningrad-4",
"Smolensk-1",
"Smolensk-3"
] | of those what locations have the month listed for shut down? || which locations were shut down after 2020? | which of these are not still operational? | which of those went operational? | which of these has a net capacity under 1000 mwe? | at what locations is the net capacity above 900 mwe? |
nt-7950 | col : location | reactor type | status | net capacity (mwe) | gross capacity (mwe) row 1 : chernobyl-1 | rbmk-1000 | shut down in 1996 | 740 | 800 row 2 : chernobyl-2 | rbmk-1000 | shut down in 1991 | 925 | 1,000 row 3 : chernobyl-3 | rbmk-1000 | shut down in 2000 | 925 | 1,000 row 4 : chernobyl-4 | rbmk-1000 | destroy... | table_csv/203_78.csv | 6 | {
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} | [
"at what locations is the net capacity above 900 mwe?",
"which of these has a net capacity under 1000 mwe?",
"which of those went operational?",
"which of these are not still operational?",
"which locations were shut down after 2020?",
"of those what locations have the month listed for shut down?",
"whi... | 0 | leningrad-4 | [
"Location",
"Reactor type",
"Status",
"Net Capacity (MWe)",
"Gross Capacity (MWe)"
] | which of these locations was operational until the latest date? | [
[
"Chernobyl-1",
"RBMK-1000",
"shut down in 1996",
"740",
"800"
],
[
"Chernobyl-2",
"RBMK-1000",
"shut down in 1991",
"925",
"1,000"
],
[
"Chernobyl-3",
"RBMK-1000",
"shut down in 2000",
"925",
"1,000"
],
[
"Chernobyl-4",
"RBMK-1000",
... | [
"Leningrad-4"
] | which of these locations was operational until the latest date? || of those what locations have the month listed for shut down? | which locations were shut down after 2020? | which of these are not still operational? | which of those went operational? | which of these has a net capacity under 1000 mwe? | at what locati... |
nt-7950 | col : location | reactor type | status | net capacity (mwe) | gross capacity (mwe) row 1 : chernobyl-1 | rbmk-1000 | shut down in 1996 | 740 | 800 row 2 : chernobyl-2 | rbmk-1000 | shut down in 1991 | 925 | 1,000 row 3 : chernobyl-3 | rbmk-1000 | shut down in 2000 | 925 | 1,000 row 4 : chernobyl-4 | rbmk-1000 | destroy... | table_csv/203_78.csv | 0 | {
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22,
23,
24,
25... | [
"which locations have the reactor type rbmk-1000?"
] | 1 | chernobyl-1, chernobyl-2, chernobyl-3, chernobyl-4, chernobyl-5, chernobyl-6, kursk-1, kursk-2, kursk-3, kursk-4, kursk-6, leningrad-1, leningrad-2, leningrad-3, leningrad-4, smolensk-1, smolensk-2, smolensk-3, smolensk-4 | [
"Location",
"Reactor type",
"Status",
"Net Capacity (MWe)",
"Gross Capacity (MWe)"
] | which locations have the reactor type rbmk-1000? | [
[
"Chernobyl-1",
"RBMK-1000",
"shut down in 1996",
"740",
"800"
],
[
"Chernobyl-2",
"RBMK-1000",
"shut down in 1991",
"925",
"1,000"
],
[
"Chernobyl-3",
"RBMK-1000",
"shut down in 2000",
"925",
"1,000"
],
[
"Chernobyl-4",
"RBMK-1000",
... | [
"Chernobyl-1",
"Chernobyl-2",
"Chernobyl-3",
"Chernobyl-4",
"Chernobyl-5",
"Chernobyl-6",
"Kursk-1",
"Kursk-2",
"Kursk-3",
"Kursk-4",
"Kursk-6",
"Leningrad-1",
"Leningrad-2",
"Leningrad-3",
"Leningrad-4",
"Smolensk-1",
"Smolensk-2",
"Smolensk-3",
"Smolensk-4"
] | which locations have the reactor type rbmk-1000? || |
nt-7950 | col : location | reactor type | status | net capacity (mwe) | gross capacity (mwe) row 1 : chernobyl-1 | rbmk-1000 | shut down in 1996 | 740 | 800 row 2 : chernobyl-2 | rbmk-1000 | shut down in 1991 | 925 | 1,000 row 3 : chernobyl-3 | rbmk-1000 | shut down in 2000 | 925 | 1,000 row 4 : chernobyl-4 | rbmk-1000 | destroy... | table_csv/203_78.csv | 1 | {
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]
} | [
"which locations have the reactor type rbmk-1000?",
"of these, which have a net capacity of 925?"
] | 1 | chernobyl-2, chernobyl-3, chernobyl-4, kursk-1, kursk-2, kursk-3, kursk-4, kursk-6, leningrad-1, leningrad-2, leningrad-3, leningrad-4, smolensk-1, smolensk-2, smolensk-3, smolensk-4 | [
"Location",
"Reactor type",
"Status",
"Net Capacity (MWe)",
"Gross Capacity (MWe)"
] | of these, which have a net capacity of 925? | [
[
"Chernobyl-1",
"RBMK-1000",
"shut down in 1996",
"740",
"800"
],
[
"Chernobyl-2",
"RBMK-1000",
"shut down in 1991",
"925",
"1,000"
],
[
"Chernobyl-3",
"RBMK-1000",
"shut down in 2000",
"925",
"1,000"
],
[
"Chernobyl-4",
"RBMK-1000",
... | [
"Chernobyl-2",
"Chernobyl-3",
"Chernobyl-4",
"Kursk-1",
"Kursk-2",
"Kursk-3",
"Kursk-4",
"Kursk-6",
"Leningrad-1",
"Leningrad-2",
"Leningrad-3",
"Leningrad-4",
"Smolensk-1",
"Smolensk-2",
"Smolensk-3",
"Smolensk-4"
] | of these, which have a net capacity of 925? || which locations have the reactor type rbmk-1000? |
nt-7950 | col : location | reactor type | status | net capacity (mwe) | gross capacity (mwe) row 1 : chernobyl-1 | rbmk-1000 | shut down in 1996 | 740 | 800 row 2 : chernobyl-2 | rbmk-1000 | shut down in 1991 | 925 | 1,000 row 3 : chernobyl-3 | rbmk-1000 | shut down in 2000 | 925 | 1,000 row 4 : chernobyl-4 | rbmk-1000 | destroy... | table_csv/203_78.csv | 2 | {
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0
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22,
24
]
} | [
"which locations have the reactor type rbmk-1000?",
"of these, which have a net capacity of 925?",
"of these, which are still operational?"
] | 1 | kursk-1, kursk-2, leningrad-1, leningrad-2, leningrad-3, leningrad-4, smolensk-1, smolensk-3 | [
"Location",
"Reactor type",
"Status",
"Net Capacity (MWe)",
"Gross Capacity (MWe)"
] | of these, which are still operational? | [
[
"Chernobyl-1",
"RBMK-1000",
"shut down in 1996",
"740",
"800"
],
[
"Chernobyl-2",
"RBMK-1000",
"shut down in 1991",
"925",
"1,000"
],
[
"Chernobyl-3",
"RBMK-1000",
"shut down in 2000",
"925",
"1,000"
],
[
"Chernobyl-4",
"RBMK-1000",
... | [
"Kursk-1",
"Kursk-2",
"Leningrad-1",
"Leningrad-2",
"Leningrad-3",
"Leningrad-4",
"Smolensk-1",
"Smolensk-3"
] | of these, which are still operational? || of these, which have a net capacity of 925? | which locations have the reactor type rbmk-1000? |
nt-7950 | col : location | reactor type | status | net capacity (mwe) | gross capacity (mwe) row 1 : chernobyl-1 | rbmk-1000 | shut down in 1996 | 740 | 800 row 2 : chernobyl-2 | rbmk-1000 | shut down in 1991 | 925 | 1,000 row 3 : chernobyl-3 | rbmk-1000 | shut down in 2000 | 925 | 1,000 row 4 : chernobyl-4 | rbmk-1000 | destroy... | table_csv/203_78.csv | 3 | {
"column_index": [
0
],
"row_index": [
21
]
} | [
"which locations have the reactor type rbmk-1000?",
"of these, which have a net capacity of 925?",
"of these, which are still operational?",
"from the remaining, which is scheduled to be operational the longest?"
] | 1 | leningrad-4 | [
"Location",
"Reactor type",
"Status",
"Net Capacity (MWe)",
"Gross Capacity (MWe)"
] | from the remaining, which is scheduled to be operational the longest? | [
[
"Chernobyl-1",
"RBMK-1000",
"shut down in 1996",
"740",
"800"
],
[
"Chernobyl-2",
"RBMK-1000",
"shut down in 1991",
"925",
"1,000"
],
[
"Chernobyl-3",
"RBMK-1000",
"shut down in 2000",
"925",
"1,000"
],
[
"Chernobyl-4",
"RBMK-1000",
... | [
"Leningrad-4"
] | from the remaining, which is scheduled to be operational the longest? || of these, which are still operational? | of these, which have a net capacity of 925? | which locations have the reactor type rbmk-1000? |
nt-7950 | col : location | reactor type | status | net capacity (mwe) | gross capacity (mwe) row 1 : chernobyl-1 | rbmk-1000 | shut down in 1996 | 740 | 800 row 2 : chernobyl-2 | rbmk-1000 | shut down in 1991 | 925 | 1,000 row 3 : chernobyl-3 | rbmk-1000 | shut down in 2000 | 925 | 1,000 row 4 : chernobyl-4 | rbmk-1000 | destroy... | table_csv/203_78.csv | 0 | {
"column_index": [
2
],
"row_index": [
0
]
} | [
"when was chernobyl-1 shut down?"
] | 2 | shut down in 1996 | [
"Location",
"Reactor type",
"Status",
"Net Capacity (MWe)",
"Gross Capacity (MWe)"
] | when was chernobyl-1 shut down? | [
[
"Chernobyl-1",
"RBMK-1000",
"shut down in 1996",
"740",
"800"
],
[
"Chernobyl-2",
"RBMK-1000",
"shut down in 1991",
"925",
"1,000"
],
[
"Chernobyl-3",
"RBMK-1000",
"shut down in 2000",
"925",
"1,000"
],
[
"Chernobyl-4",
"RBMK-1000",
... | [
"shut down in 1996"
] | when was chernobyl-1 shut down? || |
nt-7950 | col : location | reactor type | status | net capacity (mwe) | gross capacity (mwe) row 1 : chernobyl-1 | rbmk-1000 | shut down in 1996 | 740 | 800 row 2 : chernobyl-2 | rbmk-1000 | shut down in 1991 | 925 | 1,000 row 3 : chernobyl-3 | rbmk-1000 | shut down in 2000 | 925 | 1,000 row 4 : chernobyl-4 | rbmk-1000 | destroy... | table_csv/203_78.csv | 1 | {
"column_index": [
2
],
"row_index": [
12
]
} | [
"when was chernobyl-1 shut down?",
"when is kursk-1 operational?"
] | 2 | operational until 2021 | [
"Location",
"Reactor type",
"Status",
"Net Capacity (MWe)",
"Gross Capacity (MWe)"
] | when is kursk-1 operational? | [
[
"Chernobyl-1",
"RBMK-1000",
"shut down in 1996",
"740",
"800"
],
[
"Chernobyl-2",
"RBMK-1000",
"shut down in 1991",
"925",
"1,000"
],
[
"Chernobyl-3",
"RBMK-1000",
"shut down in 2000",
"925",
"1,000"
],
[
"Chernobyl-4",
"RBMK-1000",
... | [
"operational until 2021"
] | when is kursk-1 operational? || when was chernobyl-1 shut down? |
nt-7950 | col : location | reactor type | status | net capacity (mwe) | gross capacity (mwe) row 1 : chernobyl-1 | rbmk-1000 | shut down in 1996 | 740 | 800 row 2 : chernobyl-2 | rbmk-1000 | shut down in 1991 | 925 | 1,000 row 3 : chernobyl-3 | rbmk-1000 | shut down in 2000 | 925 | 1,000 row 4 : chernobyl-4 | rbmk-1000 | destroy... | table_csv/203_78.csv | 2 | {
"column_index": [
0
],
"row_index": [
21
]
} | [
"when was chernobyl-1 shut down?",
"when is kursk-1 operational?",
"which reactor type is operational until august 2026?"
] | 2 | leningrad-4 | [
"Location",
"Reactor type",
"Status",
"Net Capacity (MWe)",
"Gross Capacity (MWe)"
] | which reactor type is operational until august 2026? | [
[
"Chernobyl-1",
"RBMK-1000",
"shut down in 1996",
"740",
"800"
],
[
"Chernobyl-2",
"RBMK-1000",
"shut down in 1991",
"925",
"1,000"
],
[
"Chernobyl-3",
"RBMK-1000",
"shut down in 2000",
"925",
"1,000"
],
[
"Chernobyl-4",
"RBMK-1000",
... | [
"Leningrad-4"
] | which reactor type is operational until august 2026? || when is kursk-1 operational? | when was chernobyl-1 shut down? |
nt-1735 | 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 : ash creek | 2575 | nan | 58 | 1 (2) | 93 (36) | 0 (0) | 0.51% | 38deg39'17''n 98deg12' row 2 : black wolf | 7025 | nan | 87 | 1 (2) | 94 (... | table_csv/203_729.csv | 0 | {
"column_index": [
0
],
"row_index": [
8
]
} | [
"what township has a population center"
] | 0 | green garden | [
"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 a population center | [
[
"Ash Creek",
"2575",
"nan",
"58",
"1 (2)",
"93 (36)",
"0 (0)",
"0.51%",
"38deg39'17''N 98deg12'"
],
[
"Black Wolf",
"7025",
"nan",
"87",
"1 (2)",
"94 (36)",
"0 (0)",
"0.10%",
"38deg44'40''N 98deg19'"
],
[
"Carneiro",
"10800",
... | [
"Green Garden"
] | what township has a population center || |
nt-1735 | 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 : ash creek | 2575 | nan | 58 | 1 (2) | 93 (36) | 0 (0) | 0.51% | 38deg39'17''n 98deg12' row 2 : black wolf | 7025 | nan | 87 | 1 (2) | 94 (... | table_csv/203_729.csv | 1 | {
"column_index": [
2
],
"row_index": [
8
]
} | [
"what township has a population center",
"what is the population center called?"
] | 0 | lorraine | [
"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 population center called? | [
[
"Ash Creek",
"2575",
"nan",
"58",
"1 (2)",
"93 (36)",
"0 (0)",
"0.51%",
"38deg39'17''N 98deg12'"
],
[
"Black Wolf",
"7025",
"nan",
"87",
"1 (2)",
"94 (36)",
"0 (0)",
"0.10%",
"38deg44'40''N 98deg19'"
],
[
"Carneiro",
"10800",
... | [
"Lorraine"
] | what is the population center called? || what township has a population center |
nt-1735 | 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 : ash creek | 2575 | nan | 58 | 1 (2) | 93 (36) | 0 (0) | 0.51% | 38deg39'17''n 98deg12' row 2 : black wolf | 7025 | nan | 87 | 1 (2) | 94 (... | table_csv/203_729.csv | 0 | {
"column_index": [
0
],
"row_index": [
8
]
} | [
"which township has 28600 fips?"
] | 1 | green garden | [
"Township",
"FIPS",
"Population center",
"Population",
"Population density /km2 (/sq mi)",
"Land area km2 (sq mi)",
"Water area km2 (sq mi)",
"Water %",
"Geographic coordinates"
] | which township has 28600 fips? | [
[
"Ash Creek",
"2575",
"nan",
"58",
"1 (2)",
"93 (36)",
"0 (0)",
"0.51%",
"38deg39'17''N 98deg12'"
],
[
"Black Wolf",
"7025",
"nan",
"87",
"1 (2)",
"94 (36)",
"0 (0)",
"0.10%",
"38deg44'40''N 98deg19'"
],
[
"Carneiro",
"10800",
... | [
"Green Garden"
] | which township has 28600 fips? || |
nt-1735 | 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 : ash creek | 2575 | nan | 58 | 1 (2) | 93 (36) | 0 (0) | 0.51% | 38deg39'17''n 98deg12' row 2 : black wolf | 7025 | nan | 87 | 1 (2) | 94 (... | table_csv/203_729.csv | 1 | {
"column_index": [
2
],
"row_index": [
8
]
} | [
"which township has 28600 fips?",
"of that township, what is the population center?"
] | 1 | lorraine | [
"Township",
"FIPS",
"Population center",
"Population",
"Population density /km2 (/sq mi)",
"Land area km2 (sq mi)",
"Water area km2 (sq mi)",
"Water %",
"Geographic coordinates"
] | of that township, what is the population center? | [
[
"Ash Creek",
"2575",
"nan",
"58",
"1 (2)",
"93 (36)",
"0 (0)",
"0.51%",
"38deg39'17''N 98deg12'"
],
[
"Black Wolf",
"7025",
"nan",
"87",
"1 (2)",
"94 (36)",
"0 (0)",
"0.10%",
"38deg44'40''N 98deg19'"
],
[
"Carneiro",
"10800",
... | [
"Lorraine"
] | of that township, what is the population center? || which township has 28600 fips? |
nt-1735 | 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 : ash creek | 2575 | nan | 58 | 1 (2) | 93 (36) | 0 (0) | 0.51% | 38deg39'17''n 98deg12' row 2 : black wolf | 7025 | nan | 87 | 1 (2) | 94 (... | table_csv/203_729.csv | 0 | {
"column_index": [
3,
3,
3,
3,
3
],
"row_index": [
5,
6,
8,
17,
18
]
} | [
"which townships have a population of at least 100+?"
] | 2 | 797, 174, 211, 577, 894 | [
"Township",
"FIPS",
"Population center",
"Population",
"Population density /km2 (/sq mi)",
"Land area km2 (sq mi)",
"Water area km2 (sq mi)",
"Water %",
"Geographic coordinates"
] | which townships have a population of at least 100+? | [
[
"Ash Creek",
"2575",
"nan",
"58",
"1 (2)",
"93 (36)",
"0 (0)",
"0.51%",
"38deg39'17''N 98deg12'"
],
[
"Black Wolf",
"7025",
"nan",
"87",
"1 (2)",
"94 (36)",
"0 (0)",
"0.10%",
"38deg44'40''N 98deg19'"
],
[
"Carneiro",
"10800",
... | [
"797",
"174",
"211",
"577",
"894"
] | which townships have a population of at least 100+? || |
nt-1735 | 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 : ash creek | 2575 | nan | 58 | 1 (2) | 93 (36) | 0 (0) | 0.51% | 38deg39'17''n 98deg12' row 2 : black wolf | 7025 | nan | 87 | 1 (2) | 94 (... | table_csv/203_729.csv | 1 | {
"column_index": [
2
],
"row_index": [
8
]
} | [
"which townships have a population of at least 100+?",
"based on the following, which center resides in the green garden?"
] | 2 | lorraine | [
"Township",
"FIPS",
"Population center",
"Population",
"Population density /km2 (/sq mi)",
"Land area km2 (sq mi)",
"Water area km2 (sq mi)",
"Water %",
"Geographic coordinates"
] | based on the following, which center resides in the green garden? | [
[
"Ash Creek",
"2575",
"nan",
"58",
"1 (2)",
"93 (36)",
"0 (0)",
"0.51%",
"38deg39'17''N 98deg12'"
],
[
"Black Wolf",
"7025",
"nan",
"87",
"1 (2)",
"94 (36)",
"0 (0)",
"0.10%",
"38deg44'40''N 98deg19'"
],
[
"Carneiro",
"10800",
... | [
"Lorraine"
] | based on the following, which center resides in the green garden? || which townships have a population of at least 100+? |
nt-13533 | col : airline | destination(s) | aircraft scheduled | service date(s) | comments row 1 : air florida | new york jfk, tampa, washington national | boeing 737-200, dc-9-10 | jfk: 6/14/79-9/5/79, dc | nan row 2 : airtran airways | atlanta, dayton, orlando | boeing 737-200, dc-9-30, boeing 717-200 | 11/14/1996-2/28/1998, 1... | table_csv/204_215.csv | 0 | {
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"what scheduled aircraft does beaver aviation/bas airlines have?"
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] | what scheduled aircraft does beaver aviation/bas airlines have? | [
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"nan"
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[
"A... | [
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nt-13533 | col : airline | destination(s) | aircraft scheduled | service date(s) | comments row 1 : air florida | new york jfk, tampa, washington national | boeing 737-200, dc-9-10 | jfk: 6/14/79-9/5/79, dc | nan row 2 : airtran airways | atlanta, dayton, orlando | boeing 737-200, dc-9-30, boeing 717-200 | 11/14/1996-2/28/1998, 1... | table_csv/204_215.csv | 1 | {
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"Destination(s)",
"Aircraft Scheduled",
"Service Date(s)",
"Comments"
] | what other airline has only this schedule aircraft? | [
[
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"nan"
],
[
"A... | [
"Trans Midwest Airlines"
] | what other airline has only this schedule aircraft? || what scheduled aircraft does beaver aviation/bas airlines have? |
nt-13533 | col : airline | destination(s) | aircraft scheduled | service date(s) | comments row 1 : air florida | new york jfk, tampa, washington national | boeing 737-200, dc-9-10 | jfk: 6/14/79-9/5/79, dc | nan row 2 : airtran airways | atlanta, dayton, orlando | boeing 737-200, dc-9-30, boeing 717-200 | 11/14/1996-2/28/1998, 1... | table_csv/204_215.csv | 0 | {
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"what are all of the airline names?"
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[
"A... | [
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"Atlantic Coast Airlines",
"Atlantic Southeast Airlines",
"Beaver Aviation / BAS Airlines",
"Capital Airlines",
"Chicago Express Airlines",
"Chicago and Southern Airlines",
... | what are all of the airline names? || |
nt-13533 | col : airline | destination(s) | aircraft scheduled | service date(s) | comments row 1 : air florida | new york jfk, tampa, washington national | boeing 737-200, dc-9-10 | jfk: 6/14/79-9/5/79, dc | nan row 2 : airtran airways | atlanta, dayton, orlando | boeing 737-200, dc-9-30, boeing 717-200 | 11/14/1996-2/28/1998, 1... | table_csv/204_215.csv | 1 | {
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nt-13533 | col : airline | destination(s) | aircraft scheduled | service date(s) | comments row 1 : air florida | new york jfk, tampa, washington national | boeing 737-200, dc-9-10 | jfk: 6/14/79-9/5/79, dc | nan row 2 : airtran airways | atlanta, dayton, orlando | boeing 737-200, dc-9-30, boeing 717-200 | 11/14/1996-2/28/1998, 1... | table_csv/204_215.csv | 2 | {
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"what are all of the airline names?",
"what are their scheduled aircraft types?",
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] | 1 | trans midwest airlines | [
"Airline",
"Destination(s)",
"Aircraft Scheduled",
"Service Date(s)",
"Comments"
] | along with beaver aviation / bas airlines, which other airline has a piper navajo scheduled? | [
[
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"New York JFK, Tampa, Washington National",
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"JFK: 6/14/79-9/5/79, DC",
"nan"
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[
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"11/14/1996-2/28/1998, 10/3/2000",
"nan"
],
[
"A... | [
"Trans Midwest Airlines"
] | along with beaver aviation / bas airlines, which other airline has a piper navajo scheduled? || what are their scheduled aircraft types? | what are all of the airline names? |
nt-13533 | col : airline | destination(s) | aircraft scheduled | service date(s) | comments row 1 : air florida | new york jfk, tampa, washington national | boeing 737-200, dc-9-10 | jfk: 6/14/79-9/5/79, dc | nan row 2 : airtran airways | atlanta, dayton, orlando | boeing 737-200, dc-9-30, boeing 717-200 | 11/14/1996-2/28/1998, 1... | table_csv/204_215.csv | 0 | {
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"what are all the scheduled aircraft?"
] | 2 | boeing 737-200, dc-9-10, boeing 737-200, dc-9-30, boeing 717-200, bae 146, bae atp, dash 8-300, md-80, beech 1900, erj-145, dornier 328jet, atr 72, crj-200, crj-700, piper navajo, viscount, dc-3, dc-4, jetstream 31, saab 340, , piper chieftain, piper navajo, e, emb-120, beech 1900, dash-8-200, convair 440, boeing 727-2... | [
"Airline",
"Destination(s)",
"Aircraft Scheduled",
"Service Date(s)",
"Comments"
] | what are all the scheduled aircraft? | [
[
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"New York JFK, Tampa, Washington National",
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"nan"
],
[
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"11/14/1996-2/28/1998, 10/3/2000",
"nan"
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[
"A... | [
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"Viscount, DC-3, DC-4",
"Jetstream 31, Saab 340",
"",
"Piper Chieftain, Piper Navajo, E",
"E... | what are all the scheduled aircraft? || |
nt-13533 | col : airline | destination(s) | aircraft scheduled | service date(s) | comments row 1 : air florida | new york jfk, tampa, washington national | boeing 737-200, dc-9-10 | jfk: 6/14/79-9/5/79, dc | nan row 2 : airtran airways | atlanta, dayton, orlando | boeing 737-200, dc-9-30, boeing 717-200 | 11/14/1996-2/28/1998, 1... | table_csv/204_215.csv | 1 | {
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} | [
"what are all the scheduled aircraft?",
"which of these is for beaver aviation?"
] | 2 | piper navajo | [
"Airline",
"Destination(s)",
"Aircraft Scheduled",
"Service Date(s)",
"Comments"
] | which of these is for beaver aviation? | [
[
"Air Florida",
"New York JFK, Tampa, Washington National",
"Boeing 737-200, DC-9-10",
"JFK: 6/14/79-9/5/79, DC",
"nan"
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[
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"Atlanta, Dayton, Orlando",
"Boeing 737-200, DC-9-30, Boeing 717-200",
"11/14/1996-2/28/1998, 10/3/2000",
"nan"
],
[
"A... | [
"Piper Navajo"
] | which of these is for beaver aviation? || what are all the scheduled aircraft? |
nt-13533 | col : airline | destination(s) | aircraft scheduled | service date(s) | comments row 1 : air florida | new york jfk, tampa, washington national | boeing 737-200, dc-9-10 | jfk: 6/14/79-9/5/79, dc | nan row 2 : airtran airways | atlanta, dayton, orlando | boeing 737-200, dc-9-30, boeing 717-200 | 11/14/1996-2/28/1998, 1... | table_csv/204_215.csv | 2 | {
"column_index": [
0
],
"row_index": [
22
]
} | [
"what are all the scheduled aircraft?",
"which of these is for beaver aviation?",
"what other airline has this same aircraft?"
] | 2 | trans midwest airlines | [
"Airline",
"Destination(s)",
"Aircraft Scheduled",
"Service Date(s)",
"Comments"
] | what other airline has this same aircraft? | [
[
"Air Florida",
"New York JFK, Tampa, Washington National",
"Boeing 737-200, DC-9-10",
"JFK: 6/14/79-9/5/79, DC",
"nan"
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[
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"11/14/1996-2/28/1998, 10/3/2000",
"nan"
],
[
"A... | [
"Trans Midwest Airlines"
] | what other airline has this same aircraft? || which of these is for beaver aviation? | what are all the scheduled aircraft? |
nt-13532 | col : 1962 | the trial/le proces | hilda | notes row 1 : 1949 | in the good old summertime | baby | uncredited row 2 : 1954 | the long, long trailer | wedding guest | scenes deleted row 3 : 1967 | charlie bubbles | eliza | nan row 4 : 1969 | the sterile cuckoo | 'pookie' (mary ann) adams | david di donatello for best f... | table_csv/202_87.csv | 0 | {
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} | [
"which film did liza minnelli star in 1949?"
] | 0 | in the good old summertime | [
"1962",
"The Trial/le Proces",
"Hilda",
"Notes"
] | which film did liza minnelli star in 1949? | [
[
"1949",
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"uncredited"
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[
"1954",
"The Long, Long Trailer",
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[
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"Charlie Bubbles",
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"nan"
],
[
"1969",
"The Sterile Cuckoo",
"'Pookie' (Mary Ann) Adams",... | [
"In the Good Old Summertime"
] | which film did liza minnelli star in 1949? || |
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} | [
"which film did liza minnelli star in 1949?",
"which film did she receive uncredited notes?"
] | 0 | just one more time | [
"1962",
"The Trial/le Proces",
"Hilda",
"Notes"
] | which film did she receive uncredited notes? | [
[
"1949",
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"Baby",
"uncredited"
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[
"1954",
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],
[
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"Charlie Bubbles",
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"nan"
],
[
"1969",
"The Sterile Cuckoo",
"'Pookie' (Mary Ann) Adams",... | [
"Just One More Time"
] | which film did she receive uncredited notes? || which film did liza minnelli star in 1949? |
nt-13532 | col : 1962 | the trial/le proces | hilda | notes row 1 : 1949 | in the good old summertime | baby | uncredited row 2 : 1954 | the long, long trailer | wedding guest | scenes deleted row 3 : 1967 | charlie bubbles | eliza | nan row 4 : 1969 | the sterile cuckoo | 'pookie' (mary ann) adams | david di donatello for best f... | table_csv/202_87.csv | 2 | {
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} | [
"which film did liza minnelli star in 1949?",
"which film did she receive uncredited notes?",
"which film did she receive the academy award for best actress?"
] | 0 | cabaret | [
"1962",
"The Trial/le Proces",
"Hilda",
"Notes"
] | which film did she receive the academy award for best actress? | [
[
"1949",
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[
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[
"1967",
"Charlie Bubbles",
"Eliza",
"nan"
],
[
"1969",
"The Sterile Cuckoo",
"'Pookie' (Mary Ann) Adams",... | [
"Cabaret"
] | which film did she receive the academy award for best actress? || which film did she receive uncredited notes? | which film did liza minnelli star in 1949? |
nt-13532 | col : 1962 | the trial/le proces | hilda | notes row 1 : 1949 | in the good old summertime | baby | uncredited row 2 : 1954 | the long, long trailer | wedding guest | scenes deleted row 3 : 1967 | charlie bubbles | eliza | nan row 4 : 1969 | the sterile cuckoo | 'pookie' (mary ann) adams | david di donatello for best f... | table_csv/202_87.csv | 0 | {
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"what are the names of each film?"
] | 1 | in the good old summertime, the long, long trailer, charlie bubbles, the sterile cuckoo, tell me that you love me, junie moon, cabaret, just one more time, that's entertainment!, journey back to oz, lucky lady, silent movie, a matter of time, new york, new york, arthur, the king of comedy, the muppets take manhattan, t... | [
"1962",
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[
"1949",
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"Baby",
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"1954",
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"Wedding Guest",
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[
"1967",
"Charlie Bubbles",
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"nan"
],
[
"1969",
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"'Pookie' (Mary Ann) Adams",... | [
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"Just One More Time",
"That's Entertainment!",
"Journey Back to Oz",
"Lucky Lady",
"Silent Movie",
"A Matter of Time",
"New York, New York",
"... | what are the names of each film? || |
nt-13532 | col : 1962 | the trial/le proces | hilda | notes row 1 : 1949 | in the good old summertime | baby | uncredited row 2 : 1954 | the long, long trailer | wedding guest | scenes deleted row 3 : 1967 | charlie bubbles | eliza | nan row 4 : 1969 | the sterile cuckoo | 'pookie' (mary ann) adams | david di donatello for best f... | table_csv/202_87.csv | 1 | {
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"what are the names of each film?",
"which movie include an award?"
] | 1 | the sterile cuckoo, david di donatello for best foreign actress kansas city film critics, cabaret, academy award for best actress bafta award for best actress in, lucky lady, nominated -- golden globe award for best actress - motion picture, new york, new york, nominated -- golden globe award for best actress - motion ... | [
"1962",
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"Hilda",
"Notes"
] | which movie include an award? | [
[
"1949",
"In the Good Old Summertime",
"Baby",
"uncredited"
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[
"1954",
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"Wedding Guest",
"scenes deleted"
],
[
"1967",
"Charlie Bubbles",
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[
"1969",
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"Nominated -- Golden Globe Award for Best Actress - Motion Picture",
"New York, New York",
"Nominated -- Golden Globe... | which movie include an award? || what are the names of each film? |
nt-13532 | col : 1962 | the trial/le proces | hilda | notes row 1 : 1949 | in the good old summertime | baby | uncredited row 2 : 1954 | the long, long trailer | wedding guest | scenes deleted row 3 : 1967 | charlie bubbles | eliza | nan row 4 : 1969 | the sterile cuckoo | 'pookie' (mary ann) adams | david di donatello for best f... | table_csv/202_87.csv | 2 | {
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"what are the names of each film?",
"which movie include an award?",
"to answer the original question which film did liza receive an award for that included best actress and the golden globe award motion picture drama? (there is an error with the answer to the original question)"
] | 1 | the sterile cuckoo | [
"1962",
"The Trial/le Proces",
"Hilda",
"Notes"
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[
"1949",
"In the Good Old Summertime",
"Baby",
"uncredited"
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"Wedding Guest",
"scenes deleted"
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[
"1967",
"Charlie Bubbles",
"Eliza",
"nan"
],
[
"1969",
"The Sterile Cuckoo",
"'Pookie' (Mary Ann) Adams",... | [
"The Sterile Cuckoo"
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nt-13532 | col : 1962 | the trial/le proces | hilda | notes row 1 : 1949 | in the good old summertime | baby | uncredited row 2 : 1954 | the long, long trailer | wedding guest | scenes deleted row 3 : 1967 | charlie bubbles | eliza | nan row 4 : 1969 | the sterile cuckoo | 'pookie' (mary ann) adams | david di donatello for best f... | table_csv/202_87.csv | 3 | {
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"what are the names of each film?",
"which movie include an award?",
"to answer the original question which film did liza receive an award for that included best actress and the golden globe award motion picture drama? (there is an error with the answer to the original question)",
"and to receive the correct ... | 1 | cabaret | [
"1962",
"The Trial/le Proces",
"Hilda",
"Notes"
] | and to receive the correct answer which film did liza receive an award for that included best actress and the golden globe award motion picture musical or comedy? | [
[
"1949",
"In the Good Old Summertime",
"Baby",
"uncredited"
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[
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"The Long, Long Trailer",
"Wedding Guest",
"scenes deleted"
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[
"1967",
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"nan"
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[
"1969",
"The Sterile Cuckoo",
"'Pookie' (Mary Ann) Adams",... | [
"Cabaret"
] | and to receive the correct answer which film did liza receive an award for that included best actress and the golden globe award motion picture musical or comedy? || to answer the original question which film did liza receive an award for that included best actress and the golden globe award motion picture drama? (the... |
nt-13532 | col : 1962 | the trial/le proces | hilda | notes row 1 : 1949 | in the good old summertime | baby | uncredited row 2 : 1954 | the long, long trailer | wedding guest | scenes deleted row 3 : 1967 | charlie bubbles | eliza | nan row 4 : 1969 | the sterile cuckoo | 'pookie' (mary ann) adams | david di donatello for best f... | table_csv/202_87.csv | 0 | {
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"what films did liza minnelli act in?"
] | 2 | in the good old summertime, the long, long trailer, charlie bubbles, the sterile cuckoo, tell me that you love me, junie moon, cabaret, just one more time, that's entertainment!, journey back to oz, lucky lady, silent movie, a matter of time, new york, new york, arthur, the king of comedy, the muppets take manhattan, t... | [
"1962",
"The Trial/le Proces",
"Hilda",
"Notes"
] | what films did liza minnelli act in? | [
[
"1949",
"In the Good Old Summertime",
"Baby",
"uncredited"
],
[
"1954",
"The Long, Long Trailer",
"Wedding Guest",
"scenes deleted"
],
[
"1967",
"Charlie Bubbles",
"Eliza",
"nan"
],
[
"1969",
"The Sterile Cuckoo",
"'Pookie' (Mary Ann) Adams",... | [
"In the Good Old Summertime",
"The Long, Long Trailer",
"Charlie Bubbles",
"The Sterile Cuckoo",
"Tell Me That You Love Me, Junie Moon",
"Cabaret",
"Just One More Time",
"That's Entertainment!",
"Journey Back to Oz",
"Lucky Lady",
"Silent Movie",
"A Matter of Time",
"New York, New York",
"... | what films did liza minnelli act in? || |
nt-13532 | col : 1962 | the trial/le proces | hilda | notes row 1 : 1949 | in the good old summertime | baby | uncredited row 2 : 1954 | the long, long trailer | wedding guest | scenes deleted row 3 : 1967 | charlie bubbles | eliza | nan row 4 : 1969 | the sterile cuckoo | 'pookie' (mary ann) adams | david di donatello for best f... | table_csv/202_87.csv | 1 | {
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"what are their notes?"
] | 2 | uncredited, scenes deleted, , david di donatello for best foreign actress kansas city film critics, , academy award for best actress bafta award for best actress in, uncredited (short subject), , voice (recorded in 1963, released in the u.s, nominated -- golden globe award for best actress - motion picture, , , nominat... | [
"1962",
"The Trial/le Proces",
"Hilda",
"Notes"
] | what are their notes? | [
[
"1949",
"In the Good Old Summertime",
"Baby",
"uncredited"
],
[
"1954",
"The Long, Long Trailer",
"Wedding Guest",
"scenes deleted"
],
[
"1967",
"Charlie Bubbles",
"Eliza",
"nan"
],
[
"1969",
"The Sterile Cuckoo",
"'Pookie' (Mary Ann) Adams",... | [
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"scenes deleted",
"",
"David di Donatello for Best Foreign Actress Kansas City Film Critics",
"",
"Academy Award for Best Actress BAFTA Award for Best Actress in",
"uncredited (short subject)",
"",
"voice (recorded in 1963, released in the U.S",
"Nominated -- Golden Globe Award for B... | what are their notes? || what films did liza minnelli act in? |
nt-13532 | col : 1962 | the trial/le proces | hilda | notes row 1 : 1949 | in the good old summertime | baby | uncredited row 2 : 1954 | the long, long trailer | wedding guest | scenes deleted row 3 : 1967 | charlie bubbles | eliza | nan row 4 : 1969 | the sterile cuckoo | 'pookie' (mary ann) adams | david di donatello for best f... | table_csv/202_87.csv | 2 | {
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} | [
"what films did liza minnelli act in?",
"what are their notes?",
"and for which film did the win as best actress from both the academy awards and golden globes?"
] | 2 | cabaret | [
"1962",
"The Trial/le Proces",
"Hilda",
"Notes"
] | and for which film did the win as best actress from both the academy awards and golden globes? | [
[
"1949",
"In the Good Old Summertime",
"Baby",
"uncredited"
],
[
"1954",
"The Long, Long Trailer",
"Wedding Guest",
"scenes deleted"
],
[
"1967",
"Charlie Bubbles",
"Eliza",
"nan"
],
[
"1969",
"The Sterile Cuckoo",
"'Pookie' (Mary Ann) Adams",... | [
"Cabaret"
] | and for which film did the win as best actress from both the academy awards and golden globes? || what are their notes? | what films did liza minnelli act in? |
nt-2689 | col : ethnicity | islam | christianity | judaism | buddhism | other | none / atheism | n/a row 1 : totals | 70.20% | 26.32% | 0.03% | 0.09% | 0.02% | 2.82% | 0.51% row 2 : kazakh | 98.34% | 0.39% | 0.02% | 0.01% | 0.02% | 0.98% | 0.26% row 3 : russian | 1.43% | 91.64% | 0.04% | 0.02% | 0.03% | 6.09% | 0.75% row 4 : uzb... | table_csv/204_984.csv | 0 | {
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]
} | [
"which of the ethnic groups have christians in kazakhstan?"
] | 0 | kazakh, russian, uzbek, ukrainian, uyghur, tatar, german, korean, turkish, azeri, belorussian, dungan, kurdish, tajik, polish, chechen, kyrgyz | [
"Ethnicity",
"Islam",
"Christianity",
"Judaism",
"Buddhism",
"Other",
"None / Atheism",
"n/a"
] | which of the ethnic groups have christians in kazakhstan? | [
[
"TOTALS",
"70.20%",
"26.32%",
"0.03%",
"0.09%",
"0.02%",
"2.82%",
"0.51%"
],
[
"Kazakh",
"98.34%",
"0.39%",
"0.02%",
"0.01%",
"0.02%",
"0.98%",
"0.26%"
],
[
"Russian",
"1.43%",
"91.64%",
"0.04%",
"0.02%",
"0.03%",
... | [
"Kazakh",
"Russian",
"Uzbek",
"Ukrainian",
"Uyghur",
"Tatar",
"German",
"Korean",
"Turkish",
"Azeri",
"Belorussian",
"Dungan",
"Kurdish",
"Tajik",
"Polish",
"Chechen",
"Kyrgyz"
] | which of the ethnic groups have christians in kazakhstan? || |
nt-2689 | col : ethnicity | islam | christianity | judaism | buddhism | other | none / atheism | n/a row 1 : totals | 70.20% | 26.32% | 0.03% | 0.09% | 0.02% | 2.82% | 0.51% row 2 : kazakh | 98.34% | 0.39% | 0.02% | 0.01% | 0.02% | 0.98% | 0.26% row 3 : russian | 1.43% | 91.64% | 0.04% | 0.02% | 0.03% | 6.09% | 0.75% row 4 : uzb... | table_csv/204_984.csv | 1 | {
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} | [
"which of the ethnic groups have christians in kazakhstan?",
"which 5 of the ethnic groups have the most christians?"
] | 0 | russian, ukrainian, german, belorussian, polish | [
"Ethnicity",
"Islam",
"Christianity",
"Judaism",
"Buddhism",
"Other",
"None / Atheism",
"n/a"
] | which 5 of the ethnic groups have the most christians? | [
[
"TOTALS",
"70.20%",
"26.32%",
"0.03%",
"0.09%",
"0.02%",
"2.82%",
"0.51%"
],
[
"Kazakh",
"98.34%",
"0.39%",
"0.02%",
"0.01%",
"0.02%",
"0.98%",
"0.26%"
],
[
"Russian",
"1.43%",
"91.64%",
"0.04%",
"0.02%",
"0.03%",
... | [
"Russian",
"Ukrainian",
"German",
"Belorussian",
"Polish"
] | which 5 of the ethnic groups have the most christians? || which of the ethnic groups have christians in kazakhstan? |
nt-2689 | col : ethnicity | islam | christianity | judaism | buddhism | other | none / atheism | n/a row 1 : totals | 70.20% | 26.32% | 0.03% | 0.09% | 0.02% | 2.82% | 0.51% row 2 : kazakh | 98.34% | 0.39% | 0.02% | 0.01% | 0.02% | 0.98% | 0.26% row 3 : russian | 1.43% | 91.64% | 0.04% | 0.02% | 0.03% | 6.09% | 0.75% row 4 : uzb... | table_csv/204_984.csv | 2 | {
"column_index": [
0
],
"row_index": [
2
]
} | [
"which of the ethnic groups have christians in kazakhstan?",
"which 5 of the ethnic groups have the most christians?",
"of these which between russia or ukraine has the most christians?"
] | 0 | russian | [
"Ethnicity",
"Islam",
"Christianity",
"Judaism",
"Buddhism",
"Other",
"None / Atheism",
"n/a"
] | of these which between russia or ukraine has the most christians? | [
[
"TOTALS",
"70.20%",
"26.32%",
"0.03%",
"0.09%",
"0.02%",
"2.82%",
"0.51%"
],
[
"Kazakh",
"98.34%",
"0.39%",
"0.02%",
"0.01%",
"0.02%",
"0.98%",
"0.26%"
],
[
"Russian",
"1.43%",
"91.64%",
"0.04%",
"0.02%",
"0.03%",
... | [
"Russian"
] | of these which between russia or ukraine has the most christians? || which 5 of the ethnic groups have the most christians? | which of the ethnic groups have christians in kazakhstan? |
nt-2689 | col : ethnicity | islam | christianity | judaism | buddhism | other | none / atheism | n/a row 1 : totals | 70.20% | 26.32% | 0.03% | 0.09% | 0.02% | 2.82% | 0.51% row 2 : kazakh | 98.34% | 0.39% | 0.02% | 0.01% | 0.02% | 0.98% | 0.26% row 3 : russian | 1.43% | 91.64% | 0.04% | 0.02% | 0.03% | 6.09% | 0.75% row 4 : uzb... | table_csv/204_984.csv | 0 | {
"column_index": [
2
],
"row_index": [
2
]
} | [
"what percentage of russians in kazakhstan are christian?"
] | 1 | 91.64% | [
"Ethnicity",
"Islam",
"Christianity",
"Judaism",
"Buddhism",
"Other",
"None / Atheism",
"n/a"
] | what percentage of russians in kazakhstan are christian? | [
[
"TOTALS",
"70.20%",
"26.32%",
"0.03%",
"0.09%",
"0.02%",
"2.82%",
"0.51%"
],
[
"Kazakh",
"98.34%",
"0.39%",
"0.02%",
"0.01%",
"0.02%",
"0.98%",
"0.26%"
],
[
"Russian",
"1.43%",
"91.64%",
"0.04%",
"0.02%",
"0.03%",
... | [
"91.64%"
] | what percentage of russians in kazakhstan are christian? || |
nt-2689 | col : ethnicity | islam | christianity | judaism | buddhism | other | none / atheism | n/a row 1 : totals | 70.20% | 26.32% | 0.03% | 0.09% | 0.02% | 2.82% | 0.51% row 2 : kazakh | 98.34% | 0.39% | 0.02% | 0.01% | 0.02% | 0.98% | 0.26% row 3 : russian | 1.43% | 91.64% | 0.04% | 0.02% | 0.03% | 6.09% | 0.75% row 4 : uzb... | table_csv/204_984.csv | 1 | {
"column_index": [
2
],
"row_index": [
4
]
} | [
"what percentage of russians in kazakhstan are christian?",
"what percentage of ukrainians in kazakhstan are christian?"
] | 1 | 90.74% | [
"Ethnicity",
"Islam",
"Christianity",
"Judaism",
"Buddhism",
"Other",
"None / Atheism",
"n/a"
] | what percentage of ukrainians in kazakhstan are christian? | [
[
"TOTALS",
"70.20%",
"26.32%",
"0.03%",
"0.09%",
"0.02%",
"2.82%",
"0.51%"
],
[
"Kazakh",
"98.34%",
"0.39%",
"0.02%",
"0.01%",
"0.02%",
"0.98%",
"0.26%"
],
[
"Russian",
"1.43%",
"91.64%",
"0.04%",
"0.02%",
"0.03%",
... | [
"90.74%"
] | what percentage of ukrainians in kazakhstan are christian? || what percentage of russians in kazakhstan are christian? |
nt-2689 | col : ethnicity | islam | christianity | judaism | buddhism | other | none / atheism | n/a row 1 : totals | 70.20% | 26.32% | 0.03% | 0.09% | 0.02% | 2.82% | 0.51% row 2 : kazakh | 98.34% | 0.39% | 0.02% | 0.01% | 0.02% | 0.98% | 0.26% row 3 : russian | 1.43% | 91.64% | 0.04% | 0.02% | 0.03% | 6.09% | 0.75% row 4 : uzb... | table_csv/204_984.csv | 2 | {
"column_index": [
2
],
"row_index": [
2
]
} | [
"what percentage of russians in kazakhstan are christian?",
"what percentage of ukrainians in kazakhstan are christian?",
"which percentage is higher?"
] | 1 | 91.64% | [
"Ethnicity",
"Islam",
"Christianity",
"Judaism",
"Buddhism",
"Other",
"None / Atheism",
"n/a"
] | which percentage is higher? | [
[
"TOTALS",
"70.20%",
"26.32%",
"0.03%",
"0.09%",
"0.02%",
"2.82%",
"0.51%"
],
[
"Kazakh",
"98.34%",
"0.39%",
"0.02%",
"0.01%",
"0.02%",
"0.98%",
"0.26%"
],
[
"Russian",
"1.43%",
"91.64%",
"0.04%",
"0.02%",
"0.03%",
... | [
"91.64%"
] | which percentage is higher? || what percentage of ukrainians in kazakhstan are christian? | what percentage of russians in kazakhstan are christian? |
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