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nt-803
col : year | album | territory | label | notes row 1 : 1989 | good deeds and dirty rags | uk | capitol records | debut album, reached no. 26 on uk albums chart row 2 : 1989 | fish heads and tails | uk | capitol records | mid-price live and rarities compilation row 3 : 1991 | hammer and tongs | uk | radioactive records/mca | second studio album; reached no. 61 on the uk albums chart row 4 : 1991 | goodbye mr. mackenzie | international | radioactive records/mca | compilation of tracks from both albums, remixed row 5 : 1993 | live on the day of storms | uk | blokshok records | live album row 6 : 1994 | five | uk | blokshok records | third studio album row 7 : 1995 | jezebel | uk | blokshok records | rarities compilation row 8 : 1996 | the glory hole | uk | blokshok records | fourth and final studio album: manson, scobie or duncan do not row 9 : 2005 | the river sessions | uk | river records | double live album row 10 : 2009 | the rattler: live '91' | uk | md music company | live album (digital release)
table_csv/204_928.csv
0
{ "column_index": [ 0 ], "row_index": [ 0 ] }
[ "in what year was the band's debut album?" ]
1
1989
[ "Year", "Album", "Territory", "Label", "Notes" ]
in what year was the band's debut album?
[ [ "1989", "Good Deeds and Dirty Rags", "UK", "Capitol Records", "Debut album, reached No. 26 on UK Albums Chart" ], [ "1989", "Fish Heads and Tails", "UK", "Capitol Records", "Mid-price live and rarities compilation" ], [ "1991", "Hammer and Tongs", "UK", "Radioactive Records/MCA", "Second studio album; reached No. 61 on the UK Albums Chart" ], [ "1991", "Goodbye Mr. Mackenzie", "International", "Radioactive Records/MCA", "Compilation of tracks from both albums, remixed" ], [ "1993", "Live on The Day of Storms", "UK", "Blokshok Records", "Live album" ], [ "1994", "Five", "UK", "Blokshok Records", "Third studio album" ], [ "1995", "Jezebel", "UK", "Blokshok Records", "Rarities compilation" ], [ "1996", "The Glory Hole", "UK", "Blokshok Records", "Fourth and final studio album: Manson, Scobie or Duncan do not" ], [ "2005", "The River Sessions", "UK", "River Records", "Double live album" ], [ "2009", "The Rattler: Live '91'", "UK", "MD Music Company", "Live album (Digital release)" ] ]
[ "1989" ]
in what year was the band's debut album? ||
nt-803
col : year | album | territory | label | notes row 1 : 1989 | good deeds and dirty rags | uk | capitol records | debut album, reached no. 26 on uk albums chart row 2 : 1989 | fish heads and tails | uk | capitol records | mid-price live and rarities compilation row 3 : 1991 | hammer and tongs | uk | radioactive records/mca | second studio album; reached no. 61 on the uk albums chart row 4 : 1991 | goodbye mr. mackenzie | international | radioactive records/mca | compilation of tracks from both albums, remixed row 5 : 1993 | live on the day of storms | uk | blokshok records | live album row 6 : 1994 | five | uk | blokshok records | third studio album row 7 : 1995 | jezebel | uk | blokshok records | rarities compilation row 8 : 1996 | the glory hole | uk | blokshok records | fourth and final studio album: manson, scobie or duncan do not row 9 : 2005 | the river sessions | uk | river records | double live album row 10 : 2009 | the rattler: live '91' | uk | md music company | live album (digital release)
table_csv/204_928.csv
1
{ "column_index": [ 1 ], "row_index": [ 0 ] }
[ "in what year was the band's debut album?", "what was the title of the band's debut album?" ]
1
good deeds and dirty rags
[ "Year", "Album", "Territory", "Label", "Notes" ]
what was the title of the band's debut album?
[ [ "1989", "Good Deeds and Dirty Rags", "UK", "Capitol Records", "Debut album, reached No. 26 on UK Albums Chart" ], [ "1989", "Fish Heads and Tails", "UK", "Capitol Records", "Mid-price live and rarities compilation" ], [ "1991", "Hammer and Tongs", "UK", "Radioactive Records/MCA", "Second studio album; reached No. 61 on the UK Albums Chart" ], [ "1991", "Goodbye Mr. Mackenzie", "International", "Radioactive Records/MCA", "Compilation of tracks from both albums, remixed" ], [ "1993", "Live on The Day of Storms", "UK", "Blokshok Records", "Live album" ], [ "1994", "Five", "UK", "Blokshok Records", "Third studio album" ], [ "1995", "Jezebel", "UK", "Blokshok Records", "Rarities compilation" ], [ "1996", "The Glory Hole", "UK", "Blokshok Records", "Fourth and final studio album: Manson, Scobie or Duncan do not" ], [ "2005", "The River Sessions", "UK", "River Records", "Double live album" ], [ "2009", "The Rattler: Live '91'", "UK", "MD Music Company", "Live album (Digital release)" ] ]
[ "Good Deeds and Dirty Rags" ]
what was the title of the band's debut album? || in what year was the band's debut album?
nt-803
col : year | album | territory | label | notes row 1 : 1989 | good deeds and dirty rags | uk | capitol records | debut album, reached no. 26 on uk albums chart row 2 : 1989 | fish heads and tails | uk | capitol records | mid-price live and rarities compilation row 3 : 1991 | hammer and tongs | uk | radioactive records/mca | second studio album; reached no. 61 on the uk albums chart row 4 : 1991 | goodbye mr. mackenzie | international | radioactive records/mca | compilation of tracks from both albums, remixed row 5 : 1993 | live on the day of storms | uk | blokshok records | live album row 6 : 1994 | five | uk | blokshok records | third studio album row 7 : 1995 | jezebel | uk | blokshok records | rarities compilation row 8 : 1996 | the glory hole | uk | blokshok records | fourth and final studio album: manson, scobie or duncan do not row 9 : 2005 | the river sessions | uk | river records | double live album row 10 : 2009 | the rattler: live '91' | uk | md music company | live album (digital release)
table_csv/204_928.csv
0
{ "column_index": [ 1, 1 ], "row_index": [ 0, 1 ] }
[ "which songs were on the capital records label?" ]
2
good deeds and dirty rags, fish heads and tails
[ "Year", "Album", "Territory", "Label", "Notes" ]
which songs were on the capital records label?
[ [ "1989", "Good Deeds and Dirty Rags", "UK", "Capitol Records", "Debut album, reached No. 26 on UK Albums Chart" ], [ "1989", "Fish Heads and Tails", "UK", "Capitol Records", "Mid-price live and rarities compilation" ], [ "1991", "Hammer and Tongs", "UK", "Radioactive Records/MCA", "Second studio album; reached No. 61 on the UK Albums Chart" ], [ "1991", "Goodbye Mr. Mackenzie", "International", "Radioactive Records/MCA", "Compilation of tracks from both albums, remixed" ], [ "1993", "Live on The Day of Storms", "UK", "Blokshok Records", "Live album" ], [ "1994", "Five", "UK", "Blokshok Records", "Third studio album" ], [ "1995", "Jezebel", "UK", "Blokshok Records", "Rarities compilation" ], [ "1996", "The Glory Hole", "UK", "Blokshok Records", "Fourth and final studio album: Manson, Scobie or Duncan do not" ], [ "2005", "The River Sessions", "UK", "River Records", "Double live album" ], [ "2009", "The Rattler: Live '91'", "UK", "MD Music Company", "Live album (Digital release)" ] ]
[ "Good Deeds and Dirty Rags", "Fish Heads and Tails" ]
which songs were on the capital records label? ||
nt-803
col : year | album | territory | label | notes row 1 : 1989 | good deeds and dirty rags | uk | capitol records | debut album, reached no. 26 on uk albums chart row 2 : 1989 | fish heads and tails | uk | capitol records | mid-price live and rarities compilation row 3 : 1991 | hammer and tongs | uk | radioactive records/mca | second studio album; reached no. 61 on the uk albums chart row 4 : 1991 | goodbye mr. mackenzie | international | radioactive records/mca | compilation of tracks from both albums, remixed row 5 : 1993 | live on the day of storms | uk | blokshok records | live album row 6 : 1994 | five | uk | blokshok records | third studio album row 7 : 1995 | jezebel | uk | blokshok records | rarities compilation row 8 : 1996 | the glory hole | uk | blokshok records | fourth and final studio album: manson, scobie or duncan do not row 9 : 2005 | the river sessions | uk | river records | double live album row 10 : 2009 | the rattler: live '91' | uk | md music company | live album (digital release)
table_csv/204_928.csv
1
{ "column_index": [ 1 ], "row_index": [ 0 ] }
[ "which songs were on the capital records label?", "of those, which one reached no. 26?" ]
2
good deeds and dirty rags
[ "Year", "Album", "Territory", "Label", "Notes" ]
of those, which one reached no. 26?
[ [ "1989", "Good Deeds and Dirty Rags", "UK", "Capitol Records", "Debut album, reached No. 26 on UK Albums Chart" ], [ "1989", "Fish Heads and Tails", "UK", "Capitol Records", "Mid-price live and rarities compilation" ], [ "1991", "Hammer and Tongs", "UK", "Radioactive Records/MCA", "Second studio album; reached No. 61 on the UK Albums Chart" ], [ "1991", "Goodbye Mr. Mackenzie", "International", "Radioactive Records/MCA", "Compilation of tracks from both albums, remixed" ], [ "1993", "Live on The Day of Storms", "UK", "Blokshok Records", "Live album" ], [ "1994", "Five", "UK", "Blokshok Records", "Third studio album" ], [ "1995", "Jezebel", "UK", "Blokshok Records", "Rarities compilation" ], [ "1996", "The Glory Hole", "UK", "Blokshok Records", "Fourth and final studio album: Manson, Scobie or Duncan do not" ], [ "2005", "The River Sessions", "UK", "River Records", "Double live album" ], [ "2009", "The Rattler: Live '91'", "UK", "MD Music Company", "Live album (Digital release)" ] ]
[ "Good Deeds and Dirty Rags" ]
of those, which one reached no. 26? || which songs were on the capital records label?
ns-3310
col : # | title | time | lead vocals | notes row 1 : 1.0 | savior more than life | 6:44 | keisha grandy | nan row 2 : 2.0 | whatcha lookin' 4 | 4:25 | darrell blair, dalon collins, tamela mann, kirk franklin | nan row 3 : 3.0 | melodies from heaven | 4:34 | the family | nan row 4 : 4.0 | conquerors | 8:24 | dalon collins | nan row 5 : 5.0 | don't take your joy away | 6:33 | tamela mann | nan row 6 : 6.0 | when i think about jesus | 1:38 | nan | nan row 7 : 7.0 | mama's song | 4:16 | kirk franklin | nan row 8 : 8.0 | jesus paid it all | 5:04 | kirk franklin, darrell blair, dalon collins | nan row 9 : 9.0 | i love you jesus | 7:25 | teresa young, stephanie glynn, sheila brice | nan row 10 : 10.0 | washed away | 5:20 | jeannette johnson, carrie young-davis | nan row 11 : 11.0 | where the spirit is | 4:03 | jon drummond | nan row 12 : 12.0 | let me touch you | 5:26 | dalon collins | nan row 13 : 13.0 | anything 4 u | 5:08 | david mann, yolanda mcdonald, demetrice clinkscale | nan row 14 : 14.0 | whatcha lookin' 4 (remix) | 4:36 | kirk franklin, dalon collins, david mann, & tamela | drum & synth programming - buster & shavoni row 15 : 15.0 | melodies from heaven (skate remix) | 4:18 | kirk franklin | drum & synth programming - buster & shavoni
table_csv/204_932.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14 ] }
[ "what are all the songs on whatcha lookin' 4?" ]
0
savior more than life, whatcha lookin' 4, melodies from heaven, conquerors, don't take your joy away, when i think about jesus, mama's song, jesus paid it all, i love you jesus, washed away, where the spirit is, let me touch you, anything 4 u, whatcha lookin' 4 (remix), melodies from heaven (skate remix)
[ "#", "Title", "Time", "Lead Vocals", "Notes" ]
what are all the songs on whatcha lookin' 4?
[ [ "1.0", "Savior More than Life", "6:44", "Keisha Grandy", "nan" ], [ "2.0", "Whatcha Lookin' 4", "4:25", "Darrell Blair, Dalon Collins, Tamela Mann, Kirk Franklin", "nan" ], [ "3.0", "Melodies from Heaven", "4:34", "The Family", "nan" ], [ "4.0", "Conquerors", "8:24", "Dalon Collins", "nan" ], [ "5.0", "Don't Take Your Joy Away", "6:33", "Tamela Mann", "nan" ], [ "6.0", "When I Think About Jesus", "1:38", "nan", "nan" ], [ "7.0", "Mama's Song", "4:16", "Kirk Franklin", "nan" ], [ "8.0", "Jesus Paid it All", "5:04", "Kirk Franklin, Darrell Blair, Dalon Collins", "nan" ], [ "9.0", "I Love You Jesus", "7:25", "Teresa Young, Stephanie Glynn, Sheila Brice", "nan" ], [ "10.0", "Washed Away", "5:20", "Jeannette Johnson, Carrie Young-Davis", "nan" ], [ "11.0", "Where the Spirit Is", "4:03", "Jon Drummond", "nan" ], [ "12.0", "Let Me Touch You", "5:26", "Dalon Collins", "nan" ], [ "13.0", "Anything 4 U", "5:08", "David Mann, Yolanda McDonald, Demetrice Clinkscale", "nan" ], [ "14.0", "Whatcha Lookin' 4 (remix)", "4:36", "Kirk Franklin, Dalon Collins, David Mann, & Tamela", "Drum & Synth programming - Buster & Shavoni" ], [ "15.0", "Melodies from Heaven (skate remix)", "4:18", "Kirk Franklin", "Drum & Synth programming - Buster & Shavoni" ] ]
[ "Savior More than Life", "Whatcha Lookin' 4", "Melodies from Heaven", "Conquerors", "Don't Take Your Joy Away", "When I Think About Jesus", "Mama's Song", "Jesus Paid it All", "I Love You Jesus", "Washed Away", "Where the Spirit Is", "Let Me Touch You", "Anything 4 U", "Whatcha Lookin' 4 (remix)", "Melodies from Heaven (skate remix)" ]
what are all the songs on whatcha lookin' 4? ||
ns-3310
col : # | title | time | lead vocals | notes row 1 : 1.0 | savior more than life | 6:44 | keisha grandy | nan row 2 : 2.0 | whatcha lookin' 4 | 4:25 | darrell blair, dalon collins, tamela mann, kirk franklin | nan row 3 : 3.0 | melodies from heaven | 4:34 | the family | nan row 4 : 4.0 | conquerors | 8:24 | dalon collins | nan row 5 : 5.0 | don't take your joy away | 6:33 | tamela mann | nan row 6 : 6.0 | when i think about jesus | 1:38 | nan | nan row 7 : 7.0 | mama's song | 4:16 | kirk franklin | nan row 8 : 8.0 | jesus paid it all | 5:04 | kirk franklin, darrell blair, dalon collins | nan row 9 : 9.0 | i love you jesus | 7:25 | teresa young, stephanie glynn, sheila brice | nan row 10 : 10.0 | washed away | 5:20 | jeannette johnson, carrie young-davis | nan row 11 : 11.0 | where the spirit is | 4:03 | jon drummond | nan row 12 : 12.0 | let me touch you | 5:26 | dalon collins | nan row 13 : 13.0 | anything 4 u | 5:08 | david mann, yolanda mcdonald, demetrice clinkscale | nan row 14 : 14.0 | whatcha lookin' 4 (remix) | 4:36 | kirk franklin, dalon collins, david mann, & tamela | drum & synth programming - buster & shavoni row 15 : 15.0 | melodies from heaven (skate remix) | 4:18 | kirk franklin | drum & synth programming - buster & shavoni
table_csv/204_932.csv
1
{ "column_index": [ 1 ], "row_index": [ 5 ] }
[ "what are all the songs on whatcha lookin' 4?", "which one does not contain lead vocals?" ]
0
when i think about jesus
[ "#", "Title", "Time", "Lead Vocals", "Notes" ]
which one does not contain lead vocals?
[ [ "1.0", "Savior More than Life", "6:44", "Keisha Grandy", "nan" ], [ "2.0", "Whatcha Lookin' 4", "4:25", "Darrell Blair, Dalon Collins, Tamela Mann, Kirk Franklin", "nan" ], [ "3.0", "Melodies from Heaven", "4:34", "The Family", "nan" ], [ "4.0", "Conquerors", "8:24", "Dalon Collins", "nan" ], [ "5.0", "Don't Take Your Joy Away", "6:33", "Tamela Mann", "nan" ], [ "6.0", "When I Think About Jesus", "1:38", "nan", "nan" ], [ "7.0", "Mama's Song", "4:16", "Kirk Franklin", "nan" ], [ "8.0", "Jesus Paid it All", "5:04", "Kirk Franklin, Darrell Blair, Dalon Collins", "nan" ], [ "9.0", "I Love You Jesus", "7:25", "Teresa Young, Stephanie Glynn, Sheila Brice", "nan" ], [ "10.0", "Washed Away", "5:20", "Jeannette Johnson, Carrie Young-Davis", "nan" ], [ "11.0", "Where the Spirit Is", "4:03", "Jon Drummond", "nan" ], [ "12.0", "Let Me Touch You", "5:26", "Dalon Collins", "nan" ], [ "13.0", "Anything 4 U", "5:08", "David Mann, Yolanda McDonald, Demetrice Clinkscale", "nan" ], [ "14.0", "Whatcha Lookin' 4 (remix)", "4:36", "Kirk Franklin, Dalon Collins, David Mann, & Tamela", "Drum & Synth programming - Buster & Shavoni" ], [ "15.0", "Melodies from Heaven (skate remix)", "4:18", "Kirk Franklin", "Drum & Synth programming - Buster & Shavoni" ] ]
[ "When I Think About Jesus" ]
which one does not contain lead vocals? || what are all the songs on whatcha lookin' 4?
ns-3310
col : # | title | time | lead vocals | notes row 1 : 1.0 | savior more than life | 6:44 | keisha grandy | nan row 2 : 2.0 | whatcha lookin' 4 | 4:25 | darrell blair, dalon collins, tamela mann, kirk franklin | nan row 3 : 3.0 | melodies from heaven | 4:34 | the family | nan row 4 : 4.0 | conquerors | 8:24 | dalon collins | nan row 5 : 5.0 | don't take your joy away | 6:33 | tamela mann | nan row 6 : 6.0 | when i think about jesus | 1:38 | nan | nan row 7 : 7.0 | mama's song | 4:16 | kirk franklin | nan row 8 : 8.0 | jesus paid it all | 5:04 | kirk franklin, darrell blair, dalon collins | nan row 9 : 9.0 | i love you jesus | 7:25 | teresa young, stephanie glynn, sheila brice | nan row 10 : 10.0 | washed away | 5:20 | jeannette johnson, carrie young-davis | nan row 11 : 11.0 | where the spirit is | 4:03 | jon drummond | nan row 12 : 12.0 | let me touch you | 5:26 | dalon collins | nan row 13 : 13.0 | anything 4 u | 5:08 | david mann, yolanda mcdonald, demetrice clinkscale | nan row 14 : 14.0 | whatcha lookin' 4 (remix) | 4:36 | kirk franklin, dalon collins, david mann, & tamela | drum & synth programming - buster & shavoni row 15 : 15.0 | melodies from heaven (skate remix) | 4:18 | kirk franklin | drum & synth programming - buster & shavoni
table_csv/204_932.csv
0
{ "column_index": [ 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14 ] }
[ "who are the lead vocals sung by?" ]
1
keisha grandy, darrell blair, dalon collins, tamela mann, kirk franklin, the family, dalon collins, tamela mann, , kirk franklin, kirk franklin, darrell blair, dalon collins, teresa young, stephanie glynn, sheila brice, jeannette johnson, carrie young-davis, jon drummond, dalon collins, david mann, yolanda mcdonald, demetrice clinkscale, kirk franklin, dalon collins, david mann, & tamela, kirk franklin
[ "#", "Title", "Time", "Lead Vocals", "Notes" ]
who are the lead vocals sung by?
[ [ "1.0", "Savior More than Life", "6:44", "Keisha Grandy", "nan" ], [ "2.0", "Whatcha Lookin' 4", "4:25", "Darrell Blair, Dalon Collins, Tamela Mann, Kirk Franklin", "nan" ], [ "3.0", "Melodies from Heaven", "4:34", "The Family", "nan" ], [ "4.0", "Conquerors", "8:24", "Dalon Collins", "nan" ], [ "5.0", "Don't Take Your Joy Away", "6:33", "Tamela Mann", "nan" ], [ "6.0", "When I Think About Jesus", "1:38", "nan", "nan" ], [ "7.0", "Mama's Song", "4:16", "Kirk Franklin", "nan" ], [ "8.0", "Jesus Paid it All", "5:04", "Kirk Franklin, Darrell Blair, Dalon Collins", "nan" ], [ "9.0", "I Love You Jesus", "7:25", "Teresa Young, Stephanie Glynn, Sheila Brice", "nan" ], [ "10.0", "Washed Away", "5:20", "Jeannette Johnson, Carrie Young-Davis", "nan" ], [ "11.0", "Where the Spirit Is", "4:03", "Jon Drummond", "nan" ], [ "12.0", "Let Me Touch You", "5:26", "Dalon Collins", "nan" ], [ "13.0", "Anything 4 U", "5:08", "David Mann, Yolanda McDonald, Demetrice Clinkscale", "nan" ], [ "14.0", "Whatcha Lookin' 4 (remix)", "4:36", "Kirk Franklin, Dalon Collins, David Mann, & Tamela", "Drum & Synth programming - Buster & Shavoni" ], [ "15.0", "Melodies from Heaven (skate remix)", "4:18", "Kirk Franklin", "Drum & Synth programming - Buster & Shavoni" ] ]
[ "Keisha Grandy", "Darrell Blair, Dalon Collins, Tamela Mann, Kirk Franklin", "The Family", "Dalon Collins", "Tamela Mann", "", "Kirk Franklin", "Kirk Franklin, Darrell Blair, Dalon Collins", "Teresa Young, Stephanie Glynn, Sheila Brice", "Jeannette Johnson, Carrie Young-Davis", "Jon Drummond", "Dalon Collins", "David Mann, Yolanda McDonald, Demetrice Clinkscale", "Kirk Franklin, Dalon Collins, David Mann, & Tamela", "Kirk Franklin" ]
who are the lead vocals sung by? ||
ns-3310
col : # | title | time | lead vocals | notes row 1 : 1.0 | savior more than life | 6:44 | keisha grandy | nan row 2 : 2.0 | whatcha lookin' 4 | 4:25 | darrell blair, dalon collins, tamela mann, kirk franklin | nan row 3 : 3.0 | melodies from heaven | 4:34 | the family | nan row 4 : 4.0 | conquerors | 8:24 | dalon collins | nan row 5 : 5.0 | don't take your joy away | 6:33 | tamela mann | nan row 6 : 6.0 | when i think about jesus | 1:38 | nan | nan row 7 : 7.0 | mama's song | 4:16 | kirk franklin | nan row 8 : 8.0 | jesus paid it all | 5:04 | kirk franklin, darrell blair, dalon collins | nan row 9 : 9.0 | i love you jesus | 7:25 | teresa young, stephanie glynn, sheila brice | nan row 10 : 10.0 | washed away | 5:20 | jeannette johnson, carrie young-davis | nan row 11 : 11.0 | where the spirit is | 4:03 | jon drummond | nan row 12 : 12.0 | let me touch you | 5:26 | dalon collins | nan row 13 : 13.0 | anything 4 u | 5:08 | david mann, yolanda mcdonald, demetrice clinkscale | nan row 14 : 14.0 | whatcha lookin' 4 (remix) | 4:36 | kirk franklin, dalon collins, david mann, & tamela | drum & synth programming - buster & shavoni row 15 : 15.0 | melodies from heaven (skate remix) | 4:18 | kirk franklin | drum & synth programming - buster & shavoni
table_csv/204_932.csv
1
{ "column_index": [ 1 ], "row_index": [ 5 ] }
[ "who are the lead vocals sung by?", "which title is associated with the blank space meaning no lead vocals are associated?" ]
1
when i think about jesus
[ "#", "Title", "Time", "Lead Vocals", "Notes" ]
which title is associated with the blank space meaning no lead vocals are associated?
[ [ "1.0", "Savior More than Life", "6:44", "Keisha Grandy", "nan" ], [ "2.0", "Whatcha Lookin' 4", "4:25", "Darrell Blair, Dalon Collins, Tamela Mann, Kirk Franklin", "nan" ], [ "3.0", "Melodies from Heaven", "4:34", "The Family", "nan" ], [ "4.0", "Conquerors", "8:24", "Dalon Collins", "nan" ], [ "5.0", "Don't Take Your Joy Away", "6:33", "Tamela Mann", "nan" ], [ "6.0", "When I Think About Jesus", "1:38", "nan", "nan" ], [ "7.0", "Mama's Song", "4:16", "Kirk Franklin", "nan" ], [ "8.0", "Jesus Paid it All", "5:04", "Kirk Franklin, Darrell Blair, Dalon Collins", "nan" ], [ "9.0", "I Love You Jesus", "7:25", "Teresa Young, Stephanie Glynn, Sheila Brice", "nan" ], [ "10.0", "Washed Away", "5:20", "Jeannette Johnson, Carrie Young-Davis", "nan" ], [ "11.0", "Where the Spirit Is", "4:03", "Jon Drummond", "nan" ], [ "12.0", "Let Me Touch You", "5:26", "Dalon Collins", "nan" ], [ "13.0", "Anything 4 U", "5:08", "David Mann, Yolanda McDonald, Demetrice Clinkscale", "nan" ], [ "14.0", "Whatcha Lookin' 4 (remix)", "4:36", "Kirk Franklin, Dalon Collins, David Mann, & Tamela", "Drum & Synth programming - Buster & Shavoni" ], [ "15.0", "Melodies from Heaven (skate remix)", "4:18", "Kirk Franklin", "Drum & Synth programming - Buster & Shavoni" ] ]
[ "When I Think About Jesus" ]
which title is associated with the blank space meaning no lead vocals are associated? || who are the lead vocals sung by?
ns-3310
col : # | title | time | lead vocals | notes row 1 : 1.0 | savior more than life | 6:44 | keisha grandy | nan row 2 : 2.0 | whatcha lookin' 4 | 4:25 | darrell blair, dalon collins, tamela mann, kirk franklin | nan row 3 : 3.0 | melodies from heaven | 4:34 | the family | nan row 4 : 4.0 | conquerors | 8:24 | dalon collins | nan row 5 : 5.0 | don't take your joy away | 6:33 | tamela mann | nan row 6 : 6.0 | when i think about jesus | 1:38 | nan | nan row 7 : 7.0 | mama's song | 4:16 | kirk franklin | nan row 8 : 8.0 | jesus paid it all | 5:04 | kirk franklin, darrell blair, dalon collins | nan row 9 : 9.0 | i love you jesus | 7:25 | teresa young, stephanie glynn, sheila brice | nan row 10 : 10.0 | washed away | 5:20 | jeannette johnson, carrie young-davis | nan row 11 : 11.0 | where the spirit is | 4:03 | jon drummond | nan row 12 : 12.0 | let me touch you | 5:26 | dalon collins | nan row 13 : 13.0 | anything 4 u | 5:08 | david mann, yolanda mcdonald, demetrice clinkscale | nan row 14 : 14.0 | whatcha lookin' 4 (remix) | 4:36 | kirk franklin, dalon collins, david mann, & tamela | drum & synth programming - buster & shavoni row 15 : 15.0 | melodies from heaven (skate remix) | 4:18 | kirk franklin | drum & synth programming - buster & shavoni
table_csv/204_932.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14 ] }
[ "what are all of the titles?" ]
2
savior more than life, whatcha lookin' 4, melodies from heaven, conquerors, don't take your joy away, when i think about jesus, mama's song, jesus paid it all, i love you jesus, washed away, where the spirit is, let me touch you, anything 4 u, whatcha lookin' 4 (remix), melodies from heaven (skate remix)
[ "#", "Title", "Time", "Lead Vocals", "Notes" ]
what are all of the titles?
[ [ "1.0", "Savior More than Life", "6:44", "Keisha Grandy", "nan" ], [ "2.0", "Whatcha Lookin' 4", "4:25", "Darrell Blair, Dalon Collins, Tamela Mann, Kirk Franklin", "nan" ], [ "3.0", "Melodies from Heaven", "4:34", "The Family", "nan" ], [ "4.0", "Conquerors", "8:24", "Dalon Collins", "nan" ], [ "5.0", "Don't Take Your Joy Away", "6:33", "Tamela Mann", "nan" ], [ "6.0", "When I Think About Jesus", "1:38", "nan", "nan" ], [ "7.0", "Mama's Song", "4:16", "Kirk Franklin", "nan" ], [ "8.0", "Jesus Paid it All", "5:04", "Kirk Franklin, Darrell Blair, Dalon Collins", "nan" ], [ "9.0", "I Love You Jesus", "7:25", "Teresa Young, Stephanie Glynn, Sheila Brice", "nan" ], [ "10.0", "Washed Away", "5:20", "Jeannette Johnson, Carrie Young-Davis", "nan" ], [ "11.0", "Where the Spirit Is", "4:03", "Jon Drummond", "nan" ], [ "12.0", "Let Me Touch You", "5:26", "Dalon Collins", "nan" ], [ "13.0", "Anything 4 U", "5:08", "David Mann, Yolanda McDonald, Demetrice Clinkscale", "nan" ], [ "14.0", "Whatcha Lookin' 4 (remix)", "4:36", "Kirk Franklin, Dalon Collins, David Mann, & Tamela", "Drum & Synth programming - Buster & Shavoni" ], [ "15.0", "Melodies from Heaven (skate remix)", "4:18", "Kirk Franklin", "Drum & Synth programming - Buster & Shavoni" ] ]
[ "Savior More than Life", "Whatcha Lookin' 4", "Melodies from Heaven", "Conquerors", "Don't Take Your Joy Away", "When I Think About Jesus", "Mama's Song", "Jesus Paid it All", "I Love You Jesus", "Washed Away", "Where the Spirit Is", "Let Me Touch You", "Anything 4 U", "Whatcha Lookin' 4 (remix)", "Melodies from Heaven (skate remix)" ]
what are all of the titles? ||
ns-3310
col : # | title | time | lead vocals | notes row 1 : 1.0 | savior more than life | 6:44 | keisha grandy | nan row 2 : 2.0 | whatcha lookin' 4 | 4:25 | darrell blair, dalon collins, tamela mann, kirk franklin | nan row 3 : 3.0 | melodies from heaven | 4:34 | the family | nan row 4 : 4.0 | conquerors | 8:24 | dalon collins | nan row 5 : 5.0 | don't take your joy away | 6:33 | tamela mann | nan row 6 : 6.0 | when i think about jesus | 1:38 | nan | nan row 7 : 7.0 | mama's song | 4:16 | kirk franklin | nan row 8 : 8.0 | jesus paid it all | 5:04 | kirk franklin, darrell blair, dalon collins | nan row 9 : 9.0 | i love you jesus | 7:25 | teresa young, stephanie glynn, sheila brice | nan row 10 : 10.0 | washed away | 5:20 | jeannette johnson, carrie young-davis | nan row 11 : 11.0 | where the spirit is | 4:03 | jon drummond | nan row 12 : 12.0 | let me touch you | 5:26 | dalon collins | nan row 13 : 13.0 | anything 4 u | 5:08 | david mann, yolanda mcdonald, demetrice clinkscale | nan row 14 : 14.0 | whatcha lookin' 4 (remix) | 4:36 | kirk franklin, dalon collins, david mann, & tamela | drum & synth programming - buster & shavoni row 15 : 15.0 | melodies from heaven (skate remix) | 4:18 | kirk franklin | drum & synth programming - buster & shavoni
table_csv/204_932.csv
1
{ "column_index": [ 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14 ] }
[ "what are all of the titles?", "and the lead vocals?" ]
2
keisha grandy, darrell blair, dalon collins, tamela mann, kirk franklin, the family, dalon collins, tamela mann, , kirk franklin, kirk franklin, darrell blair, dalon collins, teresa young, stephanie glynn, sheila brice, jeannette johnson, carrie young-davis, jon drummond, dalon collins, david mann, yolanda mcdonald, demetrice clinkscale, kirk franklin, dalon collins, david mann, & tamela, kirk franklin
[ "#", "Title", "Time", "Lead Vocals", "Notes" ]
and the lead vocals?
[ [ "1.0", "Savior More than Life", "6:44", "Keisha Grandy", "nan" ], [ "2.0", "Whatcha Lookin' 4", "4:25", "Darrell Blair, Dalon Collins, Tamela Mann, Kirk Franklin", "nan" ], [ "3.0", "Melodies from Heaven", "4:34", "The Family", "nan" ], [ "4.0", "Conquerors", "8:24", "Dalon Collins", "nan" ], [ "5.0", "Don't Take Your Joy Away", "6:33", "Tamela Mann", "nan" ], [ "6.0", "When I Think About Jesus", "1:38", "nan", "nan" ], [ "7.0", "Mama's Song", "4:16", "Kirk Franklin", "nan" ], [ "8.0", "Jesus Paid it All", "5:04", "Kirk Franklin, Darrell Blair, Dalon Collins", "nan" ], [ "9.0", "I Love You Jesus", "7:25", "Teresa Young, Stephanie Glynn, Sheila Brice", "nan" ], [ "10.0", "Washed Away", "5:20", "Jeannette Johnson, Carrie Young-Davis", "nan" ], [ "11.0", "Where the Spirit Is", "4:03", "Jon Drummond", "nan" ], [ "12.0", "Let Me Touch You", "5:26", "Dalon Collins", "nan" ], [ "13.0", "Anything 4 U", "5:08", "David Mann, Yolanda McDonald, Demetrice Clinkscale", "nan" ], [ "14.0", "Whatcha Lookin' 4 (remix)", "4:36", "Kirk Franklin, Dalon Collins, David Mann, & Tamela", "Drum & Synth programming - Buster & Shavoni" ], [ "15.0", "Melodies from Heaven (skate remix)", "4:18", "Kirk Franklin", "Drum & Synth programming - Buster & Shavoni" ] ]
[ "Keisha Grandy", "Darrell Blair, Dalon Collins, Tamela Mann, Kirk Franklin", "The Family", "Dalon Collins", "Tamela Mann", "", "Kirk Franklin", "Kirk Franklin, Darrell Blair, Dalon Collins", "Teresa Young, Stephanie Glynn, Sheila Brice", "Jeannette Johnson, Carrie Young-Davis", "Jon Drummond", "Dalon Collins", "David Mann, Yolanda McDonald, Demetrice Clinkscale", "Kirk Franklin, Dalon Collins, David Mann, & Tamela", "Kirk Franklin" ]
and the lead vocals? || what are all of the titles?
ns-3310
col : # | title | time | lead vocals | notes row 1 : 1.0 | savior more than life | 6:44 | keisha grandy | nan row 2 : 2.0 | whatcha lookin' 4 | 4:25 | darrell blair, dalon collins, tamela mann, kirk franklin | nan row 3 : 3.0 | melodies from heaven | 4:34 | the family | nan row 4 : 4.0 | conquerors | 8:24 | dalon collins | nan row 5 : 5.0 | don't take your joy away | 6:33 | tamela mann | nan row 6 : 6.0 | when i think about jesus | 1:38 | nan | nan row 7 : 7.0 | mama's song | 4:16 | kirk franklin | nan row 8 : 8.0 | jesus paid it all | 5:04 | kirk franklin, darrell blair, dalon collins | nan row 9 : 9.0 | i love you jesus | 7:25 | teresa young, stephanie glynn, sheila brice | nan row 10 : 10.0 | washed away | 5:20 | jeannette johnson, carrie young-davis | nan row 11 : 11.0 | where the spirit is | 4:03 | jon drummond | nan row 12 : 12.0 | let me touch you | 5:26 | dalon collins | nan row 13 : 13.0 | anything 4 u | 5:08 | david mann, yolanda mcdonald, demetrice clinkscale | nan row 14 : 14.0 | whatcha lookin' 4 (remix) | 4:36 | kirk franklin, dalon collins, david mann, & tamela | drum & synth programming - buster & shavoni row 15 : 15.0 | melodies from heaven (skate remix) | 4:18 | kirk franklin | drum & synth programming - buster & shavoni
table_csv/204_932.csv
2
{ "column_index": [ 1 ], "row_index": [ 5 ] }
[ "what are all of the titles?", "and the lead vocals?", "which song does not have any lead vocals listed?" ]
2
when i think about jesus
[ "#", "Title", "Time", "Lead Vocals", "Notes" ]
which song does not have any lead vocals listed?
[ [ "1.0", "Savior More than Life", "6:44", "Keisha Grandy", "nan" ], [ "2.0", "Whatcha Lookin' 4", "4:25", "Darrell Blair, Dalon Collins, Tamela Mann, Kirk Franklin", "nan" ], [ "3.0", "Melodies from Heaven", "4:34", "The Family", "nan" ], [ "4.0", "Conquerors", "8:24", "Dalon Collins", "nan" ], [ "5.0", "Don't Take Your Joy Away", "6:33", "Tamela Mann", "nan" ], [ "6.0", "When I Think About Jesus", "1:38", "nan", "nan" ], [ "7.0", "Mama's Song", "4:16", "Kirk Franklin", "nan" ], [ "8.0", "Jesus Paid it All", "5:04", "Kirk Franklin, Darrell Blair, Dalon Collins", "nan" ], [ "9.0", "I Love You Jesus", "7:25", "Teresa Young, Stephanie Glynn, Sheila Brice", "nan" ], [ "10.0", "Washed Away", "5:20", "Jeannette Johnson, Carrie Young-Davis", "nan" ], [ "11.0", "Where the Spirit Is", "4:03", "Jon Drummond", "nan" ], [ "12.0", "Let Me Touch You", "5:26", "Dalon Collins", "nan" ], [ "13.0", "Anything 4 U", "5:08", "David Mann, Yolanda McDonald, Demetrice Clinkscale", "nan" ], [ "14.0", "Whatcha Lookin' 4 (remix)", "4:36", "Kirk Franklin, Dalon Collins, David Mann, & Tamela", "Drum & Synth programming - Buster & Shavoni" ], [ "15.0", "Melodies from Heaven (skate remix)", "4:18", "Kirk Franklin", "Drum & Synth programming - Buster & Shavoni" ] ]
[ "When I Think About Jesus" ]
which song does not have any lead vocals listed? || and the lead vocals? | what are all of the titles?
nt-11180
col : material | formula | refractive index(es) 589.3 nm | dispersion 431 - 687 nm | hardness (mohs' scale) | density (g/cm3) | thermal cond. | state of the art row 1 : diamond | c | 2.417 | 0.044 | 10 | 3.52 | excellent | (natural) row 2 : glasses | silica with pb, al, &/or tl | ~ 1.6 | > 0.020 | < 6 | 2.4 - 4.2 | poor | 1700 - row 3 : white sapphire | al2o3 | 1.762 - 1.770 | 0.018 | 9 | 3.97 | poor | 1900-1947 row 4 : spinel | mgo*al2o3 | 1.727 | 0.020 | 8 | ~ 3.6 | poor | 1920-1947 row 5 : rutile | tio2 | 2.62 - 2.9 | 0.33 | ~ 6 | 4.25 | poor | 1947-1955 row 6 : strontium titanate | srtio3 | 2.41 | 0.19 | 5.5 | 5.13 | poor | 1955-1970 row 7 : yag | y3al5o12 | 1.83 | 0.028 | 8.25 | 4.55 - 4.65 | poor | 1970-1975 row 8 : ggg | gd3ga5o12 | 1.97 | 0.045 | 7 | 7.02 | poor | 1973-1975 row 9 : cubic zirconia | zro2(+ rare earths) | ~ 2.2 | ~ 0.06 | ~ 8.3 | ~ 5.7 | poor | 1976 - row 10 : moissanite | sic | 2.648 - 2.691 | 0.104 | 8.5-9.25 | 3.2 | high | 1998 - row 11 : quartz | silica | 1.543 - 1.554 | nan | 7- | 2.50 - 2.65 | nan | ancient
table_csv/203_385.csv
0
{ "column_index": [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 ] }
[ "what are all the materials?" ]
0
diamond, glasses, white sapphire, spinel, rutile, strontium titanate, yag, ggg, cubic zirconia, moissanite, quartz
[ "Material", "Formula", "Refractive index(es) 589.3 nm", "Dispersion 431 - 687 nm", "Hardness (Mohs' scale)", "Density (g/cm3)", "Thermal Cond.", "State of the art" ]
what are all the materials?
[ [ "Diamond", "C", "2.417", "0.044", "10", "3.52", "Excellent", "(Natural)" ], [ "Glasses", "Silica with Pb, Al, &/or Tl", "~ 1.6", "> 0.020", "< 6", "2.4 - 4.2", "Poor", "1700 -" ], [ "White Sapphire", "Al2O3", "1.762 - 1.770", "0.018", "9", "3.97", "Poor", "1900-1947" ], [ "Spinel", "MgO*Al2O3", "1.727", "0.020", "8", "~ 3.6", "Poor", "1920-1947" ], [ "Rutile", "TiO2", "2.62 - 2.9", "0.33", "~ 6", "4.25", "Poor", "1947-1955" ], [ "Strontium titanate", "SrTiO3", "2.41", "0.19", "5.5", "5.13", "Poor", "1955-1970" ], [ "YAG", "Y3Al5O12", "1.83", "0.028", "8.25", "4.55 - 4.65", "Poor", "1970-1975" ], [ "GGG", "Gd3Ga5O12", "1.97", "0.045", "7", "7.02", "Poor", "1973-1975" ], [ "Cubic Zirconia", "ZrO2(+ rare earths)", "~ 2.2", "~ 0.06", "~ 8.3", "~ 5.7", "Poor", "1976 -" ], [ "Moissanite", "SiC", "2.648 - 2.691", "0.104", "8.5-9.25", "3.2", "High", "1998 -" ], [ "Quartz", "Silica", "1.543 - 1.554", "nan", "7-", "2.50 - 2.65", "nan", "Ancient" ] ]
[ "Diamond", "Glasses", "White Sapphire", "Spinel", "Rutile", "Strontium titanate", "YAG", "GGG", "Cubic Zirconia", "Moissanite", "Quartz" ]
what are all the materials? ||
nt-11180
col : material | formula | refractive index(es) 589.3 nm | dispersion 431 - 687 nm | hardness (mohs' scale) | density (g/cm3) | thermal cond. | state of the art row 1 : diamond | c | 2.417 | 0.044 | 10 | 3.52 | excellent | (natural) row 2 : glasses | silica with pb, al, &/or tl | ~ 1.6 | > 0.020 | < 6 | 2.4 - 4.2 | poor | 1700 - row 3 : white sapphire | al2o3 | 1.762 - 1.770 | 0.018 | 9 | 3.97 | poor | 1900-1947 row 4 : spinel | mgo*al2o3 | 1.727 | 0.020 | 8 | ~ 3.6 | poor | 1920-1947 row 5 : rutile | tio2 | 2.62 - 2.9 | 0.33 | ~ 6 | 4.25 | poor | 1947-1955 row 6 : strontium titanate | srtio3 | 2.41 | 0.19 | 5.5 | 5.13 | poor | 1955-1970 row 7 : yag | y3al5o12 | 1.83 | 0.028 | 8.25 | 4.55 - 4.65 | poor | 1970-1975 row 8 : ggg | gd3ga5o12 | 1.97 | 0.045 | 7 | 7.02 | poor | 1973-1975 row 9 : cubic zirconia | zro2(+ rare earths) | ~ 2.2 | ~ 0.06 | ~ 8.3 | ~ 5.7 | poor | 1976 - row 10 : moissanite | sic | 2.648 - 2.691 | 0.104 | 8.5-9.25 | 3.2 | high | 1998 - row 11 : quartz | silica | 1.543 - 1.554 | nan | 7- | 2.50 - 2.65 | nan | ancient
table_csv/203_385.csv
1
{ "column_index": [ 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 ] }
[ "what are all the materials?", "what are the thermal conditions?" ]
0
excellent, poor, poor, poor, poor, poor, poor, poor, poor, high,
[ "Material", "Formula", "Refractive index(es) 589.3 nm", "Dispersion 431 - 687 nm", "Hardness (Mohs' scale)", "Density (g/cm3)", "Thermal Cond.", "State of the art" ]
what are the thermal conditions?
[ [ "Diamond", "C", "2.417", "0.044", "10", "3.52", "Excellent", "(Natural)" ], [ "Glasses", "Silica with Pb, Al, &/or Tl", "~ 1.6", "> 0.020", "< 6", "2.4 - 4.2", "Poor", "1700 -" ], [ "White Sapphire", "Al2O3", "1.762 - 1.770", "0.018", "9", "3.97", "Poor", "1900-1947" ], [ "Spinel", "MgO*Al2O3", "1.727", "0.020", "8", "~ 3.6", "Poor", "1920-1947" ], [ "Rutile", "TiO2", "2.62 - 2.9", "0.33", "~ 6", "4.25", "Poor", "1947-1955" ], [ "Strontium titanate", "SrTiO3", "2.41", "0.19", "5.5", "5.13", "Poor", "1955-1970" ], [ "YAG", "Y3Al5O12", "1.83", "0.028", "8.25", "4.55 - 4.65", "Poor", "1970-1975" ], [ "GGG", "Gd3Ga5O12", "1.97", "0.045", "7", "7.02", "Poor", "1973-1975" ], [ "Cubic Zirconia", "ZrO2(+ rare earths)", "~ 2.2", "~ 0.06", "~ 8.3", "~ 5.7", "Poor", "1976 -" ], [ "Moissanite", "SiC", "2.648 - 2.691", "0.104", "8.5-9.25", "3.2", "High", "1998 -" ], [ "Quartz", "Silica", "1.543 - 1.554", "nan", "7-", "2.50 - 2.65", "nan", "Ancient" ] ]
[ "Excellent", "Poor", "Poor", "Poor", "Poor", "Poor", "Poor", "Poor", "Poor", "High", "" ]
what are the thermal conditions? || what are all the materials?
nt-11180
col : material | formula | refractive index(es) 589.3 nm | dispersion 431 - 687 nm | hardness (mohs' scale) | density (g/cm3) | thermal cond. | state of the art row 1 : diamond | c | 2.417 | 0.044 | 10 | 3.52 | excellent | (natural) row 2 : glasses | silica with pb, al, &/or tl | ~ 1.6 | > 0.020 | < 6 | 2.4 - 4.2 | poor | 1700 - row 3 : white sapphire | al2o3 | 1.762 - 1.770 | 0.018 | 9 | 3.97 | poor | 1900-1947 row 4 : spinel | mgo*al2o3 | 1.727 | 0.020 | 8 | ~ 3.6 | poor | 1920-1947 row 5 : rutile | tio2 | 2.62 - 2.9 | 0.33 | ~ 6 | 4.25 | poor | 1947-1955 row 6 : strontium titanate | srtio3 | 2.41 | 0.19 | 5.5 | 5.13 | poor | 1955-1970 row 7 : yag | y3al5o12 | 1.83 | 0.028 | 8.25 | 4.55 - 4.65 | poor | 1970-1975 row 8 : ggg | gd3ga5o12 | 1.97 | 0.045 | 7 | 7.02 | poor | 1973-1975 row 9 : cubic zirconia | zro2(+ rare earths) | ~ 2.2 | ~ 0.06 | ~ 8.3 | ~ 5.7 | poor | 1976 - row 10 : moissanite | sic | 2.648 - 2.691 | 0.104 | 8.5-9.25 | 3.2 | high | 1998 - row 11 : quartz | silica | 1.543 - 1.554 | nan | 7- | 2.50 - 2.65 | nan | ancient
table_csv/203_385.csv
2
{ "column_index": [ 0 ], "row_index": [ 9 ] }
[ "what are all the materials?", "what are the thermal conditions?", "and which material's condition is neither poor nor excellent?" ]
0
moissanite
[ "Material", "Formula", "Refractive index(es) 589.3 nm", "Dispersion 431 - 687 nm", "Hardness (Mohs' scale)", "Density (g/cm3)", "Thermal Cond.", "State of the art" ]
and which material's condition is neither poor nor excellent?
[ [ "Diamond", "C", "2.417", "0.044", "10", "3.52", "Excellent", "(Natural)" ], [ "Glasses", "Silica with Pb, Al, &/or Tl", "~ 1.6", "> 0.020", "< 6", "2.4 - 4.2", "Poor", "1700 -" ], [ "White Sapphire", "Al2O3", "1.762 - 1.770", "0.018", "9", "3.97", "Poor", "1900-1947" ], [ "Spinel", "MgO*Al2O3", "1.727", "0.020", "8", "~ 3.6", "Poor", "1920-1947" ], [ "Rutile", "TiO2", "2.62 - 2.9", "0.33", "~ 6", "4.25", "Poor", "1947-1955" ], [ "Strontium titanate", "SrTiO3", "2.41", "0.19", "5.5", "5.13", "Poor", "1955-1970" ], [ "YAG", "Y3Al5O12", "1.83", "0.028", "8.25", "4.55 - 4.65", "Poor", "1970-1975" ], [ "GGG", "Gd3Ga5O12", "1.97", "0.045", "7", "7.02", "Poor", "1973-1975" ], [ "Cubic Zirconia", "ZrO2(+ rare earths)", "~ 2.2", "~ 0.06", "~ 8.3", "~ 5.7", "Poor", "1976 -" ], [ "Moissanite", "SiC", "2.648 - 2.691", "0.104", "8.5-9.25", "3.2", "High", "1998 -" ], [ "Quartz", "Silica", "1.543 - 1.554", "nan", "7-", "2.50 - 2.65", "nan", "Ancient" ] ]
[ "Moissanite" ]
and which material's condition is neither poor nor excellent? || what are the thermal conditions? | what are all the materials?
nt-11180
col : material | formula | refractive index(es) 589.3 nm | dispersion 431 - 687 nm | hardness (mohs' scale) | density (g/cm3) | thermal cond. | state of the art row 1 : diamond | c | 2.417 | 0.044 | 10 | 3.52 | excellent | (natural) row 2 : glasses | silica with pb, al, &/or tl | ~ 1.6 | > 0.020 | < 6 | 2.4 - 4.2 | poor | 1700 - row 3 : white sapphire | al2o3 | 1.762 - 1.770 | 0.018 | 9 | 3.97 | poor | 1900-1947 row 4 : spinel | mgo*al2o3 | 1.727 | 0.020 | 8 | ~ 3.6 | poor | 1920-1947 row 5 : rutile | tio2 | 2.62 - 2.9 | 0.33 | ~ 6 | 4.25 | poor | 1947-1955 row 6 : strontium titanate | srtio3 | 2.41 | 0.19 | 5.5 | 5.13 | poor | 1955-1970 row 7 : yag | y3al5o12 | 1.83 | 0.028 | 8.25 | 4.55 - 4.65 | poor | 1970-1975 row 8 : ggg | gd3ga5o12 | 1.97 | 0.045 | 7 | 7.02 | poor | 1973-1975 row 9 : cubic zirconia | zro2(+ rare earths) | ~ 2.2 | ~ 0.06 | ~ 8.3 | ~ 5.7 | poor | 1976 - row 10 : moissanite | sic | 2.648 - 2.691 | 0.104 | 8.5-9.25 | 3.2 | high | 1998 - row 11 : quartz | silica | 1.543 - 1.554 | nan | 7- | 2.50 - 2.65 | nan | ancient
table_csv/203_385.csv
0
{ "column_index": [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 ] }
[ "what materials are listed?" ]
1
diamond, glasses, white sapphire, spinel, rutile, strontium titanate, yag, ggg, cubic zirconia, moissanite, quartz
[ "Material", "Formula", "Refractive index(es) 589.3 nm", "Dispersion 431 - 687 nm", "Hardness (Mohs' scale)", "Density (g/cm3)", "Thermal Cond.", "State of the art" ]
what materials are listed?
[ [ "Diamond", "C", "2.417", "0.044", "10", "3.52", "Excellent", "(Natural)" ], [ "Glasses", "Silica with Pb, Al, &/or Tl", "~ 1.6", "> 0.020", "< 6", "2.4 - 4.2", "Poor", "1700 -" ], [ "White Sapphire", "Al2O3", "1.762 - 1.770", "0.018", "9", "3.97", "Poor", "1900-1947" ], [ "Spinel", "MgO*Al2O3", "1.727", "0.020", "8", "~ 3.6", "Poor", "1920-1947" ], [ "Rutile", "TiO2", "2.62 - 2.9", "0.33", "~ 6", "4.25", "Poor", "1947-1955" ], [ "Strontium titanate", "SrTiO3", "2.41", "0.19", "5.5", "5.13", "Poor", "1955-1970" ], [ "YAG", "Y3Al5O12", "1.83", "0.028", "8.25", "4.55 - 4.65", "Poor", "1970-1975" ], [ "GGG", "Gd3Ga5O12", "1.97", "0.045", "7", "7.02", "Poor", "1973-1975" ], [ "Cubic Zirconia", "ZrO2(+ rare earths)", "~ 2.2", "~ 0.06", "~ 8.3", "~ 5.7", "Poor", "1976 -" ], [ "Moissanite", "SiC", "2.648 - 2.691", "0.104", "8.5-9.25", "3.2", "High", "1998 -" ], [ "Quartz", "Silica", "1.543 - 1.554", "nan", "7-", "2.50 - 2.65", "nan", "Ancient" ] ]
[ "Diamond", "Glasses", "White Sapphire", "Spinel", "Rutile", "Strontium titanate", "YAG", "GGG", "Cubic Zirconia", "Moissanite", "Quartz" ]
what materials are listed? ||
nt-11180
col : material | formula | refractive index(es) 589.3 nm | dispersion 431 - 687 nm | hardness (mohs' scale) | density (g/cm3) | thermal cond. | state of the art row 1 : diamond | c | 2.417 | 0.044 | 10 | 3.52 | excellent | (natural) row 2 : glasses | silica with pb, al, &/or tl | ~ 1.6 | > 0.020 | < 6 | 2.4 - 4.2 | poor | 1700 - row 3 : white sapphire | al2o3 | 1.762 - 1.770 | 0.018 | 9 | 3.97 | poor | 1900-1947 row 4 : spinel | mgo*al2o3 | 1.727 | 0.020 | 8 | ~ 3.6 | poor | 1920-1947 row 5 : rutile | tio2 | 2.62 - 2.9 | 0.33 | ~ 6 | 4.25 | poor | 1947-1955 row 6 : strontium titanate | srtio3 | 2.41 | 0.19 | 5.5 | 5.13 | poor | 1955-1970 row 7 : yag | y3al5o12 | 1.83 | 0.028 | 8.25 | 4.55 - 4.65 | poor | 1970-1975 row 8 : ggg | gd3ga5o12 | 1.97 | 0.045 | 7 | 7.02 | poor | 1973-1975 row 9 : cubic zirconia | zro2(+ rare earths) | ~ 2.2 | ~ 0.06 | ~ 8.3 | ~ 5.7 | poor | 1976 - row 10 : moissanite | sic | 2.648 - 2.691 | 0.104 | 8.5-9.25 | 3.2 | high | 1998 - row 11 : quartz | silica | 1.543 - 1.554 | nan | 7- | 2.50 - 2.65 | nan | ancient
table_csv/203_385.csv
1
{ "column_index": [ 6, 6, 6 ], "row_index": [ 0, 8, 9 ] }
[ "what materials are listed?", "what are the thermal conditions listed for those materials?" ]
1
excellent, poor, high
[ "Material", "Formula", "Refractive index(es) 589.3 nm", "Dispersion 431 - 687 nm", "Hardness (Mohs' scale)", "Density (g/cm3)", "Thermal Cond.", "State of the art" ]
what are the thermal conditions listed for those materials?
[ [ "Diamond", "C", "2.417", "0.044", "10", "3.52", "Excellent", "(Natural)" ], [ "Glasses", "Silica with Pb, Al, &/or Tl", "~ 1.6", "> 0.020", "< 6", "2.4 - 4.2", "Poor", "1700 -" ], [ "White Sapphire", "Al2O3", "1.762 - 1.770", "0.018", "9", "3.97", "Poor", "1900-1947" ], [ "Spinel", "MgO*Al2O3", "1.727", "0.020", "8", "~ 3.6", "Poor", "1920-1947" ], [ "Rutile", "TiO2", "2.62 - 2.9", "0.33", "~ 6", "4.25", "Poor", "1947-1955" ], [ "Strontium titanate", "SrTiO3", "2.41", "0.19", "5.5", "5.13", "Poor", "1955-1970" ], [ "YAG", "Y3Al5O12", "1.83", "0.028", "8.25", "4.55 - 4.65", "Poor", "1970-1975" ], [ "GGG", "Gd3Ga5O12", "1.97", "0.045", "7", "7.02", "Poor", "1973-1975" ], [ "Cubic Zirconia", "ZrO2(+ rare earths)", "~ 2.2", "~ 0.06", "~ 8.3", "~ 5.7", "Poor", "1976 -" ], [ "Moissanite", "SiC", "2.648 - 2.691", "0.104", "8.5-9.25", "3.2", "High", "1998 -" ], [ "Quartz", "Silica", "1.543 - 1.554", "nan", "7-", "2.50 - 2.65", "nan", "Ancient" ] ]
[ "Excellent", "Poor", "High" ]
what are the thermal conditions listed for those materials? || what materials are listed?
nt-11180
col : material | formula | refractive index(es) 589.3 nm | dispersion 431 - 687 nm | hardness (mohs' scale) | density (g/cm3) | thermal cond. | state of the art row 1 : diamond | c | 2.417 | 0.044 | 10 | 3.52 | excellent | (natural) row 2 : glasses | silica with pb, al, &/or tl | ~ 1.6 | > 0.020 | < 6 | 2.4 - 4.2 | poor | 1700 - row 3 : white sapphire | al2o3 | 1.762 - 1.770 | 0.018 | 9 | 3.97 | poor | 1900-1947 row 4 : spinel | mgo*al2o3 | 1.727 | 0.020 | 8 | ~ 3.6 | poor | 1920-1947 row 5 : rutile | tio2 | 2.62 - 2.9 | 0.33 | ~ 6 | 4.25 | poor | 1947-1955 row 6 : strontium titanate | srtio3 | 2.41 | 0.19 | 5.5 | 5.13 | poor | 1955-1970 row 7 : yag | y3al5o12 | 1.83 | 0.028 | 8.25 | 4.55 - 4.65 | poor | 1970-1975 row 8 : ggg | gd3ga5o12 | 1.97 | 0.045 | 7 | 7.02 | poor | 1973-1975 row 9 : cubic zirconia | zro2(+ rare earths) | ~ 2.2 | ~ 0.06 | ~ 8.3 | ~ 5.7 | poor | 1976 - row 10 : moissanite | sic | 2.648 - 2.691 | 0.104 | 8.5-9.25 | 3.2 | high | 1998 - row 11 : quartz | silica | 1.543 - 1.554 | nan | 7- | 2.50 - 2.65 | nan | ancient
table_csv/203_385.csv
2
{ "column_index": [ 0, 0 ], "row_index": [ 0, 9 ] }
[ "what materials are listed?", "what are the thermal conditions listed for those materials?", "which materials have a thermal condition more than poor?" ]
1
diamond, moissanite
[ "Material", "Formula", "Refractive index(es) 589.3 nm", "Dispersion 431 - 687 nm", "Hardness (Mohs' scale)", "Density (g/cm3)", "Thermal Cond.", "State of the art" ]
which materials have a thermal condition more than poor?
[ [ "Diamond", "C", "2.417", "0.044", "10", "3.52", "Excellent", "(Natural)" ], [ "Glasses", "Silica with Pb, Al, &/or Tl", "~ 1.6", "> 0.020", "< 6", "2.4 - 4.2", "Poor", "1700 -" ], [ "White Sapphire", "Al2O3", "1.762 - 1.770", "0.018", "9", "3.97", "Poor", "1900-1947" ], [ "Spinel", "MgO*Al2O3", "1.727", "0.020", "8", "~ 3.6", "Poor", "1920-1947" ], [ "Rutile", "TiO2", "2.62 - 2.9", "0.33", "~ 6", "4.25", "Poor", "1947-1955" ], [ "Strontium titanate", "SrTiO3", "2.41", "0.19", "5.5", "5.13", "Poor", "1955-1970" ], [ "YAG", "Y3Al5O12", "1.83", "0.028", "8.25", "4.55 - 4.65", "Poor", "1970-1975" ], [ "GGG", "Gd3Ga5O12", "1.97", "0.045", "7", "7.02", "Poor", "1973-1975" ], [ "Cubic Zirconia", "ZrO2(+ rare earths)", "~ 2.2", "~ 0.06", "~ 8.3", "~ 5.7", "Poor", "1976 -" ], [ "Moissanite", "SiC", "2.648 - 2.691", "0.104", "8.5-9.25", "3.2", "High", "1998 -" ], [ "Quartz", "Silica", "1.543 - 1.554", "nan", "7-", "2.50 - 2.65", "nan", "Ancient" ] ]
[ "Diamond", "Moissanite" ]
which materials have a thermal condition more than poor? || what are the thermal conditions listed for those materials? | what materials are listed?
nt-11180
col : material | formula | refractive index(es) 589.3 nm | dispersion 431 - 687 nm | hardness (mohs' scale) | density (g/cm3) | thermal cond. | state of the art row 1 : diamond | c | 2.417 | 0.044 | 10 | 3.52 | excellent | (natural) row 2 : glasses | silica with pb, al, &/or tl | ~ 1.6 | > 0.020 | < 6 | 2.4 - 4.2 | poor | 1700 - row 3 : white sapphire | al2o3 | 1.762 - 1.770 | 0.018 | 9 | 3.97 | poor | 1900-1947 row 4 : spinel | mgo*al2o3 | 1.727 | 0.020 | 8 | ~ 3.6 | poor | 1920-1947 row 5 : rutile | tio2 | 2.62 - 2.9 | 0.33 | ~ 6 | 4.25 | poor | 1947-1955 row 6 : strontium titanate | srtio3 | 2.41 | 0.19 | 5.5 | 5.13 | poor | 1955-1970 row 7 : yag | y3al5o12 | 1.83 | 0.028 | 8.25 | 4.55 - 4.65 | poor | 1970-1975 row 8 : ggg | gd3ga5o12 | 1.97 | 0.045 | 7 | 7.02 | poor | 1973-1975 row 9 : cubic zirconia | zro2(+ rare earths) | ~ 2.2 | ~ 0.06 | ~ 8.3 | ~ 5.7 | poor | 1976 - row 10 : moissanite | sic | 2.648 - 2.691 | 0.104 | 8.5-9.25 | 3.2 | high | 1998 - row 11 : quartz | silica | 1.543 - 1.554 | nan | 7- | 2.50 - 2.65 | nan | ancient
table_csv/203_385.csv
3
{ "column_index": [ 0 ], "row_index": [ 9 ] }
[ "what materials are listed?", "what are the thermal conditions listed for those materials?", "which materials have a thermal condition more than poor?", "of those which is less than excellent?" ]
1
moissanite
[ "Material", "Formula", "Refractive index(es) 589.3 nm", "Dispersion 431 - 687 nm", "Hardness (Mohs' scale)", "Density (g/cm3)", "Thermal Cond.", "State of the art" ]
of those which is less than excellent?
[ [ "Diamond", "C", "2.417", "0.044", "10", "3.52", "Excellent", "(Natural)" ], [ "Glasses", "Silica with Pb, Al, &/or Tl", "~ 1.6", "> 0.020", "< 6", "2.4 - 4.2", "Poor", "1700 -" ], [ "White Sapphire", "Al2O3", "1.762 - 1.770", "0.018", "9", "3.97", "Poor", "1900-1947" ], [ "Spinel", "MgO*Al2O3", "1.727", "0.020", "8", "~ 3.6", "Poor", "1920-1947" ], [ "Rutile", "TiO2", "2.62 - 2.9", "0.33", "~ 6", "4.25", "Poor", "1947-1955" ], [ "Strontium titanate", "SrTiO3", "2.41", "0.19", "5.5", "5.13", "Poor", "1955-1970" ], [ "YAG", "Y3Al5O12", "1.83", "0.028", "8.25", "4.55 - 4.65", "Poor", "1970-1975" ], [ "GGG", "Gd3Ga5O12", "1.97", "0.045", "7", "7.02", "Poor", "1973-1975" ], [ "Cubic Zirconia", "ZrO2(+ rare earths)", "~ 2.2", "~ 0.06", "~ 8.3", "~ 5.7", "Poor", "1976 -" ], [ "Moissanite", "SiC", "2.648 - 2.691", "0.104", "8.5-9.25", "3.2", "High", "1998 -" ], [ "Quartz", "Silica", "1.543 - 1.554", "nan", "7-", "2.50 - 2.65", "nan", "Ancient" ] ]
[ "Moissanite" ]
of those which is less than excellent? || which materials have a thermal condition more than poor? | what are the thermal conditions listed for those materials? | what materials are listed?
nt-11180
col : material | formula | refractive index(es) 589.3 nm | dispersion 431 - 687 nm | hardness (mohs' scale) | density (g/cm3) | thermal cond. | state of the art row 1 : diamond | c | 2.417 | 0.044 | 10 | 3.52 | excellent | (natural) row 2 : glasses | silica with pb, al, &/or tl | ~ 1.6 | > 0.020 | < 6 | 2.4 - 4.2 | poor | 1700 - row 3 : white sapphire | al2o3 | 1.762 - 1.770 | 0.018 | 9 | 3.97 | poor | 1900-1947 row 4 : spinel | mgo*al2o3 | 1.727 | 0.020 | 8 | ~ 3.6 | poor | 1920-1947 row 5 : rutile | tio2 | 2.62 - 2.9 | 0.33 | ~ 6 | 4.25 | poor | 1947-1955 row 6 : strontium titanate | srtio3 | 2.41 | 0.19 | 5.5 | 5.13 | poor | 1955-1970 row 7 : yag | y3al5o12 | 1.83 | 0.028 | 8.25 | 4.55 - 4.65 | poor | 1970-1975 row 8 : ggg | gd3ga5o12 | 1.97 | 0.045 | 7 | 7.02 | poor | 1973-1975 row 9 : cubic zirconia | zro2(+ rare earths) | ~ 2.2 | ~ 0.06 | ~ 8.3 | ~ 5.7 | poor | 1976 - row 10 : moissanite | sic | 2.648 - 2.691 | 0.104 | 8.5-9.25 | 3.2 | high | 1998 - row 11 : quartz | silica | 1.543 - 1.554 | nan | 7- | 2.50 - 2.65 | nan | ancient
table_csv/203_385.csv
0
{ "column_index": [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 ] }
[ "what are the materials?" ]
2
diamond, glasses, white sapphire, spinel, rutile, strontium titanate, yag, ggg, cubic zirconia, moissanite, quartz
[ "Material", "Formula", "Refractive index(es) 589.3 nm", "Dispersion 431 - 687 nm", "Hardness (Mohs' scale)", "Density (g/cm3)", "Thermal Cond.", "State of the art" ]
what are the materials?
[ [ "Diamond", "C", "2.417", "0.044", "10", "3.52", "Excellent", "(Natural)" ], [ "Glasses", "Silica with Pb, Al, &/or Tl", "~ 1.6", "> 0.020", "< 6", "2.4 - 4.2", "Poor", "1700 -" ], [ "White Sapphire", "Al2O3", "1.762 - 1.770", "0.018", "9", "3.97", "Poor", "1900-1947" ], [ "Spinel", "MgO*Al2O3", "1.727", "0.020", "8", "~ 3.6", "Poor", "1920-1947" ], [ "Rutile", "TiO2", "2.62 - 2.9", "0.33", "~ 6", "4.25", "Poor", "1947-1955" ], [ "Strontium titanate", "SrTiO3", "2.41", "0.19", "5.5", "5.13", "Poor", "1955-1970" ], [ "YAG", "Y3Al5O12", "1.83", "0.028", "8.25", "4.55 - 4.65", "Poor", "1970-1975" ], [ "GGG", "Gd3Ga5O12", "1.97", "0.045", "7", "7.02", "Poor", "1973-1975" ], [ "Cubic Zirconia", "ZrO2(+ rare earths)", "~ 2.2", "~ 0.06", "~ 8.3", "~ 5.7", "Poor", "1976 -" ], [ "Moissanite", "SiC", "2.648 - 2.691", "0.104", "8.5-9.25", "3.2", "High", "1998 -" ], [ "Quartz", "Silica", "1.543 - 1.554", "nan", "7-", "2.50 - 2.65", "nan", "Ancient" ] ]
[ "Diamond", "Glasses", "White Sapphire", "Spinel", "Rutile", "Strontium titanate", "YAG", "GGG", "Cubic Zirconia", "Moissanite", "Quartz" ]
what are the materials? ||
nt-11180
col : material | formula | refractive index(es) 589.3 nm | dispersion 431 - 687 nm | hardness (mohs' scale) | density (g/cm3) | thermal cond. | state of the art row 1 : diamond | c | 2.417 | 0.044 | 10 | 3.52 | excellent | (natural) row 2 : glasses | silica with pb, al, &/or tl | ~ 1.6 | > 0.020 | < 6 | 2.4 - 4.2 | poor | 1700 - row 3 : white sapphire | al2o3 | 1.762 - 1.770 | 0.018 | 9 | 3.97 | poor | 1900-1947 row 4 : spinel | mgo*al2o3 | 1.727 | 0.020 | 8 | ~ 3.6 | poor | 1920-1947 row 5 : rutile | tio2 | 2.62 - 2.9 | 0.33 | ~ 6 | 4.25 | poor | 1947-1955 row 6 : strontium titanate | srtio3 | 2.41 | 0.19 | 5.5 | 5.13 | poor | 1955-1970 row 7 : yag | y3al5o12 | 1.83 | 0.028 | 8.25 | 4.55 - 4.65 | poor | 1970-1975 row 8 : ggg | gd3ga5o12 | 1.97 | 0.045 | 7 | 7.02 | poor | 1973-1975 row 9 : cubic zirconia | zro2(+ rare earths) | ~ 2.2 | ~ 0.06 | ~ 8.3 | ~ 5.7 | poor | 1976 - row 10 : moissanite | sic | 2.648 - 2.691 | 0.104 | 8.5-9.25 | 3.2 | high | 1998 - row 11 : quartz | silica | 1.543 - 1.554 | nan | 7- | 2.50 - 2.65 | nan | ancient
table_csv/203_385.csv
1
{ "column_index": [ 0 ], "row_index": [ 9 ] }
[ "what are the materials?", "which materials are neither excellent or poor in thermal conditions?" ]
2
moissanite
[ "Material", "Formula", "Refractive index(es) 589.3 nm", "Dispersion 431 - 687 nm", "Hardness (Mohs' scale)", "Density (g/cm3)", "Thermal Cond.", "State of the art" ]
which materials are neither excellent or poor in thermal conditions?
[ [ "Diamond", "C", "2.417", "0.044", "10", "3.52", "Excellent", "(Natural)" ], [ "Glasses", "Silica with Pb, Al, &/or Tl", "~ 1.6", "> 0.020", "< 6", "2.4 - 4.2", "Poor", "1700 -" ], [ "White Sapphire", "Al2O3", "1.762 - 1.770", "0.018", "9", "3.97", "Poor", "1900-1947" ], [ "Spinel", "MgO*Al2O3", "1.727", "0.020", "8", "~ 3.6", "Poor", "1920-1947" ], [ "Rutile", "TiO2", "2.62 - 2.9", "0.33", "~ 6", "4.25", "Poor", "1947-1955" ], [ "Strontium titanate", "SrTiO3", "2.41", "0.19", "5.5", "5.13", "Poor", "1955-1970" ], [ "YAG", "Y3Al5O12", "1.83", "0.028", "8.25", "4.55 - 4.65", "Poor", "1970-1975" ], [ "GGG", "Gd3Ga5O12", "1.97", "0.045", "7", "7.02", "Poor", "1973-1975" ], [ "Cubic Zirconia", "ZrO2(+ rare earths)", "~ 2.2", "~ 0.06", "~ 8.3", "~ 5.7", "Poor", "1976 -" ], [ "Moissanite", "SiC", "2.648 - 2.691", "0.104", "8.5-9.25", "3.2", "High", "1998 -" ], [ "Quartz", "Silica", "1.543 - 1.554", "nan", "7-", "2.50 - 2.65", "nan", "Ancient" ] ]
[ "Moissanite" ]
which materials are neither excellent or poor in thermal conditions? || what are the materials?
ns-3318
col : station | type | latitude | longitude | el. (m) | opened | closed | coordinates row 1 : mount wilson, california | solar | 34o13'n | 118o56'w | 1737.0 | 1908.0 | 1920 | 34deg13's 118deg56'w / row 2 : hump mountain, north carolina | solar | 36o8'n | 82o0'w | 1500.0 | 1917.0 | 1918 | 36deg8'n 82deg0'w / row 3 : calama, chile | solar | 22o28's | 68o56'w | 2250.0 | 1918.0 | 1920 | 22deg28's 68deg56'w / row 4 : mount montezuma, chile | solar | 22o40's | 68o56'w | 2711.0 | 1920.0 | ? | 22deg40's 68deg56'w / row 5 : mount harquahala, arizona | solar | 33o48'n | 113o20'w | 1721.0 | 1920.0 | 1925 | 33deg48'n 113deg20'w / row 6 : table mountain, california | solar | 34o22'n | 117o41'w | 2286.0 | 1925.0 | 1962 | 34deg22'n 117deg41'w / row 7 : mount brukkaros, namibia | solar | 25o52's | 17o48'e | 1586.0 | 1926.0 | 1931 | 25deg52's 17deg48'e / 25 row 8 : mount saint catherine, egypt | solar | 28o31'n | 33o56'e | 2591.0 | 1934.0 | 1937 | 28deg31'n 33deg56'e / 2 row 9 : burro mountain, new mexico | solar | 32o40'n | 108o33'w | 2440.0 | 1938.0 | 1946 | 32deg40'n 108deg33'w / row 10 : organ pass, new mexico | space track | 32o25'n | 253o27'e | nan | nan | nan | 32deg25'n 106deg33'w / row 11 : olifantsfontein, south africa | space track | 25o58's | 28o15'e | nan | nan | nan | 25deg58's 28deg15'e / 25 row 12 : woomera, australia | space track | 31o06's | 136o46'e | nan | nan | nan | 31deg06's 136deg46'e / row 13 : cadiz, spain | space track | 36o28'n | 353o48'e | nan | nan | nan | 36deg28'n 6deg12'w / 3 row 14 : shiraz, iran | space track | 29o38'n | 52o31'e | nan | nan | nan | 29deg38'n 52deg31'e / 29 row 15 : curacao, netherlands west indies | space track | 12o05'n | 291o10'e | nan | nan | nan | 12deg05'n 68deg50'w / row 16 : jupiter, florida | space track | 27o01'n | 279o53'e | nan | nan | nan | 27deg01'n 80deg07'w / 2 row 17 : haleakala, hawaii | space track | 20o43'n | 203o45'e | nan | nan | nan | 20deg43'n 156deg15'w / row 18 : mitaka, japan | space track | nan | nan | nan | nan | nan | nan row 19 : nani tal, india | space track | nan | nan | nan | nan | nan | nan
table_csv/203_839.csv
0
{ "column_index": [ 1 ], "row_index": [ 5 ] }
[ "what is the type of station in calama and cadiz" ]
0
solar
[ "Station", "Type", "Latitude", "Longitude", "El. (m)", "Opened", "Closed", "Coordinates" ]
what is the type of station in calama and cadiz
[ [ "Mount Wilson, California", "Solar", "34o13'N", "118o56'W", "1737.0", "1908.0", "1920", "34deg13'S 118deg56'W /" ], [ "Hump Mountain, North Carolina", "Solar", "36o8'N", "82o0'W", "1500.0", "1917.0", "1918", "36deg8'N 82deg0'W /" ], [ "Calama, Chile", "Solar", "22o28'S", "68o56'W", "2250.0", "1918.0", "1920", "22deg28'S 68deg56'W /" ], [ "Mount Montezuma, Chile", "Solar", "22o40'S", "68o56'W", "2711.0", "1920.0", "?", "22deg40'S 68deg56'W /" ], [ "Mount Harquahala, Arizona", "Solar", "33o48'N", "113o20'W", "1721.0", "1920.0", "1925", "33deg48'N 113deg20'W /" ], [ "Table Mountain, California", "Solar", "34o22'N", "117o41'W", "2286.0", "1925.0", "1962", "34deg22'N 117deg41'W /" ], [ "Mount Brukkaros, Namibia", "Solar", "25o52'S", "17o48'E", "1586.0", "1926.0", "1931", "25deg52'S 17deg48'E / 25" ], [ "Mount Saint Catherine, Egypt", "Solar", "28o31'N", "33o56'E", "2591.0", "1934.0", "1937", "28deg31'N 33deg56'E / 2" ], [ "Burro Mountain, New Mexico", "Solar", "32o40'N", "108o33'W", "2440.0", "1938.0", "1946", "32deg40'N 108deg33'W /" ], [ "Organ Pass, New Mexico", "Space Track", "32o25'N", "253o27'E", "nan", "nan", "nan", "32deg25'N 106deg33'W /" ], [ "Olifantsfontein, South Africa", "Space Track", "25o58'S", "28o15'E", "nan", "nan", "nan", "25deg58'S 28deg15'E / 25" ], [ "Woomera, Australia", "Space Track", "31o06'S", "136o46'E", "nan", "nan", "nan", "31deg06'S 136deg46'E /" ], [ "Cadiz, Spain", "Space Track", "36o28'N", "353o48'E", "nan", "nan", "nan", "36deg28'N 6deg12'W / 3" ], [ "Shiraz, Iran", "Space Track", "29o38'N", "52o31'E", "nan", "nan", "nan", "29deg38'N 52deg31'E / 29" ], [ "Curacao, Netherlands West Indies", "Space Track", "12o05'N", "291o10'E", "nan", "nan", "nan", "12deg05'N 68deg50'W /" ], [ "Jupiter, Florida", "Space Track", "27o01'N", "279o53'E", "nan", "nan", "nan", "27deg01'N 80deg07'W / 2" ], [ "Haleakala, Hawaii", "Space Track", "20o43'N", "203o45'E", "nan", "nan", "nan", "20deg43'N 156deg15'W /" ], [ "Mitaka, Japan", "Space Track", "nan", "nan", "nan", "nan", "nan", "nan" ], [ "Nani Tal, India", "Space Track", "nan", "nan", "nan", "nan", "nan", "nan" ] ]
[ "Solar" ]
what is the type of station in calama and cadiz ||
ns-3318
col : station | type | latitude | longitude | el. (m) | opened | closed | coordinates row 1 : mount wilson, california | solar | 34o13'n | 118o56'w | 1737.0 | 1908.0 | 1920 | 34deg13's 118deg56'w / row 2 : hump mountain, north carolina | solar | 36o8'n | 82o0'w | 1500.0 | 1917.0 | 1918 | 36deg8'n 82deg0'w / row 3 : calama, chile | solar | 22o28's | 68o56'w | 2250.0 | 1918.0 | 1920 | 22deg28's 68deg56'w / row 4 : mount montezuma, chile | solar | 22o40's | 68o56'w | 2711.0 | 1920.0 | ? | 22deg40's 68deg56'w / row 5 : mount harquahala, arizona | solar | 33o48'n | 113o20'w | 1721.0 | 1920.0 | 1925 | 33deg48'n 113deg20'w / row 6 : table mountain, california | solar | 34o22'n | 117o41'w | 2286.0 | 1925.0 | 1962 | 34deg22'n 117deg41'w / row 7 : mount brukkaros, namibia | solar | 25o52's | 17o48'e | 1586.0 | 1926.0 | 1931 | 25deg52's 17deg48'e / 25 row 8 : mount saint catherine, egypt | solar | 28o31'n | 33o56'e | 2591.0 | 1934.0 | 1937 | 28deg31'n 33deg56'e / 2 row 9 : burro mountain, new mexico | solar | 32o40'n | 108o33'w | 2440.0 | 1938.0 | 1946 | 32deg40'n 108deg33'w / row 10 : organ pass, new mexico | space track | 32o25'n | 253o27'e | nan | nan | nan | 32deg25'n 106deg33'w / row 11 : woomera, australia | space track | 31o06's | 136o46'e | nan | nan | nan | 31deg06's 136deg46'e / row 12 : cadiz, spain | space track | 36o28'n | 353o48'e | nan | nan | nan | 36deg28'n 6deg12'w / 3 row 13 : shiraz, iran | space track | 29o38'n | 52o31'e | nan | nan | nan | 29deg38'n 52deg31'e / 29 row 14 : curacao, netherlands west indies | space track | 12o05'n | 291o10'e | nan | nan | nan | 12deg05'n 68deg50'w / row 15 : jupiter, florida | space track | 27o01'n | 279o53'e | nan | nan | nan | 27deg01'n 80deg07'w / 2 row 16 : haleakala, hawaii | space track | 20o43'n | 203o45'e | nan | nan | nan | 20deg43'n 156deg15'w / row 17 : villa dolores, argentina | space track | 31o57'n | 294o54'e | nan | nan | nan | 31deg57'n 65deg06'e / 31 row 18 : mitaka, japan | space track | nan | nan | nan | nan | nan | nan row 19 : nani tal, india | space track | nan | nan | nan | nan | nan | nan
table_csv/203_839.csv
1
{ "column_index": [ 0 ], "row_index": [ 2 ] }
[ "what is the type of station in calama and cadiz", "which one of these stations are closest to the equator?" ]
0
calama, chile
[ "Station", "Type", "Latitude", "Longitude", "El. (m)", "Opened", "Closed", "Coordinates" ]
which one of these stations are closest to the equator?
[ [ "Mount Wilson, California", "Solar", "34o13'N", "118o56'W", "1737.0", "1908.0", "1920", "34deg13'S 118deg56'W /" ], [ "Hump Mountain, North Carolina", "Solar", "36o8'N", "82o0'W", "1500.0", "1917.0", "1918", "36deg8'N 82deg0'W /" ], [ "Calama, Chile", "Solar", "22o28'S", "68o56'W", "2250.0", "1918.0", "1920", "22deg28'S 68deg56'W /" ], [ "Mount Montezuma, Chile", "Solar", "22o40'S", "68o56'W", "2711.0", "1920.0", "?", "22deg40'S 68deg56'W /" ], [ "Mount Harquahala, Arizona", "Solar", "33o48'N", "113o20'W", "1721.0", "1920.0", "1925", "33deg48'N 113deg20'W /" ], [ "Table Mountain, California", "Solar", "34o22'N", "117o41'W", "2286.0", "1925.0", "1962", "34deg22'N 117deg41'W /" ], [ "Mount Brukkaros, Namibia", "Solar", "25o52'S", "17o48'E", "1586.0", "1926.0", "1931", "25deg52'S 17deg48'E / 25" ], [ "Mount Saint Catherine, Egypt", "Solar", "28o31'N", "33o56'E", "2591.0", "1934.0", "1937", "28deg31'N 33deg56'E / 2" ], [ "Burro Mountain, New Mexico", "Solar", "32o40'N", "108o33'W", "2440.0", "1938.0", "1946", "32deg40'N 108deg33'W /" ], [ "Organ Pass, New Mexico", "Space Track", "32o25'N", "253o27'E", "nan", "nan", "nan", "32deg25'N 106deg33'W /" ], [ "Woomera, Australia", "Space Track", "31o06'S", "136o46'E", "nan", "nan", "nan", "31deg06'S 136deg46'E /" ], [ "Cadiz, Spain", "Space Track", "36o28'N", "353o48'E", "nan", "nan", "nan", "36deg28'N 6deg12'W / 3" ], [ "Shiraz, Iran", "Space Track", "29o38'N", "52o31'E", "nan", "nan", "nan", "29deg38'N 52deg31'E / 29" ], [ "Curacao, Netherlands West Indies", "Space Track", "12o05'N", "291o10'E", "nan", "nan", "nan", "12deg05'N 68deg50'W /" ], [ "Jupiter, Florida", "Space Track", "27o01'N", "279o53'E", "nan", "nan", "nan", "27deg01'N 80deg07'W / 2" ], [ "Haleakala, Hawaii", "Space Track", "20o43'N", "203o45'E", "nan", "nan", "nan", "20deg43'N 156deg15'W /" ], [ "Villa Dolores, Argentina", "Space Track", "31o57'N", "294o54'E", "nan", "nan", "nan", "31deg57'N 65deg06'E / 31" ], [ "Mitaka, Japan", "Space Track", "nan", "nan", "nan", "nan", "nan", "nan" ], [ "Nani Tal, India", "Space Track", "nan", "nan", "nan", "nan", "nan", "nan" ] ]
[ "Calama, Chile" ]
which one of these stations are closest to the equator? || what is the type of station in calama and cadiz
ns-3318
col : station | type | latitude | longitude | el. (m) | opened | closed | coordinates row 1 : mount wilson, california | solar | 34o13'n | 118o56'w | 1737.0 | 1908.0 | 1920 | 34deg13's 118deg56'w / row 2 : hump mountain, north carolina | solar | 36o8'n | 82o0'w | 1500.0 | 1917.0 | 1918 | 36deg8'n 82deg0'w / row 3 : calama, chile | solar | 22o28's | 68o56'w | 2250.0 | 1918.0 | 1920 | 22deg28's 68deg56'w / row 4 : mount montezuma, chile | solar | 22o40's | 68o56'w | 2711.0 | 1920.0 | ? | 22deg40's 68deg56'w / row 5 : mount harquahala, arizona | solar | 33o48'n | 113o20'w | 1721.0 | 1920.0 | 1925 | 33deg48'n 113deg20'w / row 6 : table mountain, california | solar | 34o22'n | 117o41'w | 2286.0 | 1925.0 | 1962 | 34deg22'n 117deg41'w / row 7 : mount brukkaros, namibia | solar | 25o52's | 17o48'e | 1586.0 | 1926.0 | 1931 | 25deg52's 17deg48'e / 25 row 8 : mount saint catherine, egypt | solar | 28o31'n | 33o56'e | 2591.0 | 1934.0 | 1937 | 28deg31'n 33deg56'e / 2 row 9 : burro mountain, new mexico | solar | 32o40'n | 108o33'w | 2440.0 | 1938.0 | 1946 | 32deg40'n 108deg33'w / row 10 : organ pass, new mexico | space track | 32o25'n | 253o27'e | nan | nan | nan | 32deg25'n 106deg33'w / row 11 : olifantsfontein, south africa | space track | 25o58's | 28o15'e | nan | nan | nan | 25deg58's 28deg15'e / 25 row 12 : woomera, australia | space track | 31o06's | 136o46'e | nan | nan | nan | 31deg06's 136deg46'e / row 13 : cadiz, spain | space track | 36o28'n | 353o48'e | nan | nan | nan | 36deg28'n 6deg12'w / 3 row 14 : shiraz, iran | space track | 29o38'n | 52o31'e | nan | nan | nan | 29deg38'n 52deg31'e / 29 row 15 : curacao, netherlands west indies | space track | 12o05'n | 291o10'e | nan | nan | nan | 12deg05'n 68deg50'w / row 16 : jupiter, florida | space track | 27o01'n | 279o53'e | nan | nan | nan | 27deg01'n 80deg07'w / 2 row 17 : haleakala, hawaii | space track | 20o43'n | 203o45'e | nan | nan | nan | 20deg43'n 156deg15'w / row 18 : villa dolores, argentina | space track | 31o57'n | 294o54'e | nan | nan | nan | 31deg57'n 65deg06'e / 31 row 19 : nani tal, india | space track | nan | nan | nan | nan | nan | nan
table_csv/203_839.csv
0
{ "column_index": [ 0 ], "row_index": [ 14 ] }
[ "what station is closest to the equator?" ]
1
curacao, netherlands west indies
[ "Station", "Type", "Latitude", "Longitude", "El. (m)", "Opened", "Closed", "Coordinates" ]
what station is closest to the equator?
[ [ "Mount Wilson, California", "Solar", "34o13'N", "118o56'W", "1737.0", "1908.0", "1920", "34deg13'S 118deg56'W /" ], [ "Hump Mountain, North Carolina", "Solar", "36o8'N", "82o0'W", "1500.0", "1917.0", "1918", "36deg8'N 82deg0'W /" ], [ "Calama, Chile", "Solar", "22o28'S", "68o56'W", "2250.0", "1918.0", "1920", "22deg28'S 68deg56'W /" ], [ "Mount Montezuma, Chile", "Solar", "22o40'S", "68o56'W", "2711.0", "1920.0", "?", "22deg40'S 68deg56'W /" ], [ "Mount Harquahala, Arizona", "Solar", "33o48'N", "113o20'W", "1721.0", "1920.0", "1925", "33deg48'N 113deg20'W /" ], [ "Table Mountain, California", "Solar", "34o22'N", "117o41'W", "2286.0", "1925.0", "1962", "34deg22'N 117deg41'W /" ], [ "Mount Brukkaros, Namibia", "Solar", "25o52'S", "17o48'E", "1586.0", "1926.0", "1931", "25deg52'S 17deg48'E / 25" ], [ "Mount Saint Catherine, Egypt", "Solar", "28o31'N", "33o56'E", "2591.0", "1934.0", "1937", "28deg31'N 33deg56'E / 2" ], [ "Burro Mountain, New Mexico", "Solar", "32o40'N", "108o33'W", "2440.0", "1938.0", "1946", "32deg40'N 108deg33'W /" ], [ "Organ Pass, New Mexico", "Space Track", "32o25'N", "253o27'E", "nan", "nan", "nan", "32deg25'N 106deg33'W /" ], [ "Olifantsfontein, South Africa", "Space Track", "25o58'S", "28o15'E", "nan", "nan", "nan", "25deg58'S 28deg15'E / 25" ], [ "Woomera, Australia", "Space Track", "31o06'S", "136o46'E", "nan", "nan", "nan", "31deg06'S 136deg46'E /" ], [ "Cadiz, Spain", "Space Track", "36o28'N", "353o48'E", "nan", "nan", "nan", "36deg28'N 6deg12'W / 3" ], [ "Shiraz, Iran", "Space Track", "29o38'N", "52o31'E", "nan", "nan", "nan", "29deg38'N 52deg31'E / 29" ], [ "Curacao, Netherlands West Indies", "Space Track", "12o05'N", "291o10'E", "nan", "nan", "nan", "12deg05'N 68deg50'W /" ], [ "Jupiter, Florida", "Space Track", "27o01'N", "279o53'E", "nan", "nan", "nan", "27deg01'N 80deg07'W / 2" ], [ "Haleakala, Hawaii", "Space Track", "20o43'N", "203o45'E", "nan", "nan", "nan", "20deg43'N 156deg15'W /" ], [ "Villa Dolores, Argentina", "Space Track", "31o57'N", "294o54'E", "nan", "nan", "nan", "31deg57'N 65deg06'E / 31" ], [ "Nani Tal, India", "Space Track", "nan", "nan", "nan", "nan", "nan", "nan" ] ]
[ "Curacao, Netherlands West Indies" ]
what station is closest to the equator? ||
ns-3318
col : station | type | latitude | longitude | el. (m) | opened | closed | coordinates row 1 : mount wilson, california | solar | 34o13'n | 118o56'w | 1737.0 | 1908.0 | 1920 | 34deg13's 118deg56'w / row 2 : hump mountain, north carolina | solar | 36o8'n | 82o0'w | 1500.0 | 1917.0 | 1918 | 36deg8'n 82deg0'w / row 3 : calama, chile | solar | 22o28's | 68o56'w | 2250.0 | 1918.0 | 1920 | 22deg28's 68deg56'w / row 4 : mount montezuma, chile | solar | 22o40's | 68o56'w | 2711.0 | 1920.0 | ? | 22deg40's 68deg56'w / row 5 : mount harquahala, arizona | solar | 33o48'n | 113o20'w | 1721.0 | 1920.0 | 1925 | 33deg48'n 113deg20'w / row 6 : table mountain, california | solar | 34o22'n | 117o41'w | 2286.0 | 1925.0 | 1962 | 34deg22'n 117deg41'w / row 7 : mount brukkaros, namibia | solar | 25o52's | 17o48'e | 1586.0 | 1926.0 | 1931 | 25deg52's 17deg48'e / 25 row 8 : mount saint catherine, egypt | solar | 28o31'n | 33o56'e | 2591.0 | 1934.0 | 1937 | 28deg31'n 33deg56'e / 2 row 9 : burro mountain, new mexico | solar | 32o40'n | 108o33'w | 2440.0 | 1938.0 | 1946 | 32deg40'n 108deg33'w / row 10 : organ pass, new mexico | space track | 32o25'n | 253o27'e | nan | nan | nan | 32deg25'n 106deg33'w / row 11 : olifantsfontein, south africa | space track | 25o58's | 28o15'e | nan | nan | nan | 25deg58's 28deg15'e / 25 row 12 : woomera, australia | space track | 31o06's | 136o46'e | nan | nan | nan | 31deg06's 136deg46'e / row 13 : cadiz, spain | space track | 36o28'n | 353o48'e | nan | nan | nan | 36deg28'n 6deg12'w / 3 row 14 : shiraz, iran | space track | 29o38'n | 52o31'e | nan | nan | nan | 29deg38'n 52deg31'e / 29 row 15 : jupiter, florida | space track | 27o01'n | 279o53'e | nan | nan | nan | 27deg01'n 80deg07'w / 2 row 16 : haleakala, hawaii | space track | 20o43'n | 203o45'e | nan | nan | nan | 20deg43'n 156deg15'w / row 17 : villa dolores, argentina | space track | 31o57'n | 294o54'e | nan | nan | nan | 31deg57'n 65deg06'e / 31 row 18 : mitaka, japan | space track | nan | nan | nan | nan | nan | nan row 19 : nani tal, india | space track | nan | nan | nan | nan | nan | nan
table_csv/203_839.csv
1
{ "column_index": [ 0 ], "row_index": [ 2 ] }
[ "what station is closest to the equator?", "is the calama or cadiz station location closer to the equator?" ]
1
calama, chile
[ "Station", "Type", "Latitude", "Longitude", "El. (m)", "Opened", "Closed", "Coordinates" ]
is the calama or cadiz station location closer to the equator?
[ [ "Mount Wilson, California", "Solar", "34o13'N", "118o56'W", "1737.0", "1908.0", "1920", "34deg13'S 118deg56'W /" ], [ "Hump Mountain, North Carolina", "Solar", "36o8'N", "82o0'W", "1500.0", "1917.0", "1918", "36deg8'N 82deg0'W /" ], [ "Calama, Chile", "Solar", "22o28'S", "68o56'W", "2250.0", "1918.0", "1920", "22deg28'S 68deg56'W /" ], [ "Mount Montezuma, Chile", "Solar", "22o40'S", "68o56'W", "2711.0", "1920.0", "?", "22deg40'S 68deg56'W /" ], [ "Mount Harquahala, Arizona", "Solar", "33o48'N", "113o20'W", "1721.0", "1920.0", "1925", "33deg48'N 113deg20'W /" ], [ "Table Mountain, California", "Solar", "34o22'N", "117o41'W", "2286.0", "1925.0", "1962", "34deg22'N 117deg41'W /" ], [ "Mount Brukkaros, Namibia", "Solar", "25o52'S", "17o48'E", "1586.0", "1926.0", "1931", "25deg52'S 17deg48'E / 25" ], [ "Mount Saint Catherine, Egypt", "Solar", "28o31'N", "33o56'E", "2591.0", "1934.0", "1937", "28deg31'N 33deg56'E / 2" ], [ "Burro Mountain, New Mexico", "Solar", "32o40'N", "108o33'W", "2440.0", "1938.0", "1946", "32deg40'N 108deg33'W /" ], [ "Organ Pass, New Mexico", "Space Track", "32o25'N", "253o27'E", "nan", "nan", "nan", "32deg25'N 106deg33'W /" ], [ "Olifantsfontein, South Africa", "Space Track", "25o58'S", "28o15'E", "nan", "nan", "nan", "25deg58'S 28deg15'E / 25" ], [ "Woomera, Australia", "Space Track", "31o06'S", "136o46'E", "nan", "nan", "nan", "31deg06'S 136deg46'E /" ], [ "Cadiz, Spain", "Space Track", "36o28'N", "353o48'E", "nan", "nan", "nan", "36deg28'N 6deg12'W / 3" ], [ "Shiraz, Iran", "Space Track", "29o38'N", "52o31'E", "nan", "nan", "nan", "29deg38'N 52deg31'E / 29" ], [ "Jupiter, Florida", "Space Track", "27o01'N", "279o53'E", "nan", "nan", "nan", "27deg01'N 80deg07'W / 2" ], [ "Haleakala, Hawaii", "Space Track", "20o43'N", "203o45'E", "nan", "nan", "nan", "20deg43'N 156deg15'W /" ], [ "Villa Dolores, Argentina", "Space Track", "31o57'N", "294o54'E", "nan", "nan", "nan", "31deg57'N 65deg06'E / 31" ], [ "Mitaka, Japan", "Space Track", "nan", "nan", "nan", "nan", "nan", "nan" ], [ "Nani Tal, India", "Space Track", "nan", "nan", "nan", "nan", "nan", "nan" ] ]
[ "Calama, Chile" ]
is the calama or cadiz station location closer to the equator? || what station is closest to the equator?
ns-3318
col : station | type | latitude | longitude | el. (m) | opened | closed | coordinates row 1 : mount wilson, california | solar | 34o13'n | 118o56'w | 1737.0 | 1908.0 | 1920 | 34deg13's 118deg56'w / row 2 : hump mountain, north carolina | solar | 36o8'n | 82o0'w | 1500.0 | 1917.0 | 1918 | 36deg8'n 82deg0'w / row 3 : calama, chile | solar | 22o28's | 68o56'w | 2250.0 | 1918.0 | 1920 | 22deg28's 68deg56'w / row 4 : mount montezuma, chile | solar | 22o40's | 68o56'w | 2711.0 | 1920.0 | ? | 22deg40's 68deg56'w / row 5 : mount harquahala, arizona | solar | 33o48'n | 113o20'w | 1721.0 | 1920.0 | 1925 | 33deg48'n 113deg20'w / row 6 : table mountain, california | solar | 34o22'n | 117o41'w | 2286.0 | 1925.0 | 1962 | 34deg22'n 117deg41'w / row 7 : mount brukkaros, namibia | solar | 25o52's | 17o48'e | 1586.0 | 1926.0 | 1931 | 25deg52's 17deg48'e / 25 row 8 : mount saint catherine, egypt | solar | 28o31'n | 33o56'e | 2591.0 | 1934.0 | 1937 | 28deg31'n 33deg56'e / 2 row 9 : burro mountain, new mexico | solar | 32o40'n | 108o33'w | 2440.0 | 1938.0 | 1946 | 32deg40'n 108deg33'w / row 10 : organ pass, new mexico | space track | 32o25'n | 253o27'e | nan | nan | nan | 32deg25'n 106deg33'w / row 11 : olifantsfontein, south africa | space track | 25o58's | 28o15'e | nan | nan | nan | 25deg58's 28deg15'e / 25 row 12 : woomera, australia | space track | 31o06's | 136o46'e | nan | nan | nan | 31deg06's 136deg46'e / row 13 : cadiz, spain | space track | 36o28'n | 353o48'e | nan | nan | nan | 36deg28'n 6deg12'w / 3 row 14 : shiraz, iran | space track | 29o38'n | 52o31'e | nan | nan | nan | 29deg38'n 52deg31'e / 29 row 15 : curacao, netherlands west indies | space track | 12o05'n | 291o10'e | nan | nan | nan | 12deg05'n 68deg50'w / row 16 : jupiter, florida | space track | 27o01'n | 279o53'e | nan | nan | nan | 27deg01'n 80deg07'w / 2 row 17 : haleakala, hawaii | space track | 20o43'n | 203o45'e | nan | nan | nan | 20deg43'n 156deg15'w / row 18 : villa dolores, argentina | space track | 31o57'n | 294o54'e | nan | nan | nan | 31deg57'n 65deg06'e / 31 row 19 : mitaka, japan | space track | nan | nan | nan | nan | nan | nan
table_csv/203_839.csv
0
{ "column_index": [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20 ] }
[ "what are all of the stations?" ]
2
mount wilson, california, hump mountain, north carolina, calama, chile, mount montezuma, chile, mount harquahala, arizona, table mountain, california, mount brukkaros, namibia, mount saint catherine, egypt, burro mountain, new mexico, organ pass, new mexico, olifantsfontein, south africa, woomera, australia, cadiz, spain, shiraz, iran, curacao, netherlands west indies, jupiter, florida, haleakala, hawaii, villa dolores, argentina, mitaka, japan, nani tal, india, arequipa, peru
[ "Station", "Type", "Latitude", "Longitude", "El. (m)", "Opened", "Closed", "Coordinates" ]
what are all of the stations?
[ [ "Mount Wilson, California", "Solar", "34o13'N", "118o56'W", "1737.0", "1908.0", "1920", "34deg13'S 118deg56'W /" ], [ "Hump Mountain, North Carolina", "Solar", "36o8'N", "82o0'W", "1500.0", "1917.0", "1918", "36deg8'N 82deg0'W /" ], [ "Calama, Chile", "Solar", "22o28'S", "68o56'W", "2250.0", "1918.0", "1920", "22deg28'S 68deg56'W /" ], [ "Mount Montezuma, Chile", "Solar", "22o40'S", "68o56'W", "2711.0", "1920.0", "?", "22deg40'S 68deg56'W /" ], [ "Mount Harquahala, Arizona", "Solar", "33o48'N", "113o20'W", "1721.0", "1920.0", "1925", "33deg48'N 113deg20'W /" ], [ "Table Mountain, California", "Solar", "34o22'N", "117o41'W", "2286.0", "1925.0", "1962", "34deg22'N 117deg41'W /" ], [ "Mount Brukkaros, Namibia", "Solar", "25o52'S", "17o48'E", "1586.0", "1926.0", "1931", "25deg52'S 17deg48'E / 25" ], [ "Mount Saint Catherine, Egypt", "Solar", "28o31'N", "33o56'E", "2591.0", "1934.0", "1937", "28deg31'N 33deg56'E / 2" ], [ "Burro Mountain, New Mexico", "Solar", "32o40'N", "108o33'W", "2440.0", "1938.0", "1946", "32deg40'N 108deg33'W /" ], [ "Organ Pass, New Mexico", "Space Track", "32o25'N", "253o27'E", "nan", "nan", "nan", "32deg25'N 106deg33'W /" ], [ "Olifantsfontein, South Africa", "Space Track", "25o58'S", "28o15'E", "nan", "nan", "nan", "25deg58'S 28deg15'E / 25" ], [ "Woomera, Australia", "Space Track", "31o06'S", "136o46'E", "nan", "nan", "nan", "31deg06'S 136deg46'E /" ], [ "Cadiz, Spain", "Space Track", "36o28'N", "353o48'E", "nan", "nan", "nan", "36deg28'N 6deg12'W / 3" ], [ "Shiraz, Iran", "Space Track", "29o38'N", "52o31'E", "nan", "nan", "nan", "29deg38'N 52deg31'E / 29" ], [ "Curacao, Netherlands West Indies", "Space Track", "12o05'N", "291o10'E", "nan", "nan", "nan", "12deg05'N 68deg50'W /" ], [ "Jupiter, Florida", "Space Track", "27o01'N", "279o53'E", "nan", "nan", "nan", "27deg01'N 80deg07'W / 2" ], [ "Haleakala, Hawaii", "Space Track", "20o43'N", "203o45'E", "nan", "nan", "nan", "20deg43'N 156deg15'W /" ], [ "Villa Dolores, Argentina", "Space Track", "31o57'N", "294o54'E", "nan", "nan", "nan", "31deg57'N 65deg06'E / 31" ], [ "Mitaka, Japan", "Space Track", "nan", "nan", "nan", "nan", "nan", "nan" ] ]
[ "Mount Wilson, California", "Hump Mountain, North Carolina", "Calama, Chile", "Mount Montezuma, Chile", "Mount Harquahala, Arizona", "Table Mountain, California", "Mount Brukkaros, Namibia", "Mount Saint Catherine, Egypt", "Burro Mountain, New Mexico", "Organ Pass, New Mexico", "Olifantsfontein, South Africa", "Woomera, Australia", "Cadiz, Spain", "Shiraz, Iran", "Curacao, Netherlands West Indies", "Jupiter, Florida", "Haleakala, Hawaii", "Villa Dolores, Argentina", "Mitaka, Japan", "Nani Tal, India", "Arequipa, Peru" ]
what are all of the stations? ||
ns-3318
col : station | type | latitude | longitude | el. (m) | opened | closed | coordinates row 1 : mount wilson, california | solar | 34o13'n | 118o56'w | 1737.0 | 1908.0 | 1920 | 34deg13's 118deg56'w / row 2 : hump mountain, north carolina | solar | 36o8'n | 82o0'w | 1500.0 | 1917.0 | 1918 | 36deg8'n 82deg0'w / row 3 : calama, chile | solar | 22o28's | 68o56'w | 2250.0 | 1918.0 | 1920 | 22deg28's 68deg56'w / row 4 : mount montezuma, chile | solar | 22o40's | 68o56'w | 2711.0 | 1920.0 | ? | 22deg40's 68deg56'w / row 5 : mount harquahala, arizona | solar | 33o48'n | 113o20'w | 1721.0 | 1920.0 | 1925 | 33deg48'n 113deg20'w / row 6 : table mountain, california | solar | 34o22'n | 117o41'w | 2286.0 | 1925.0 | 1962 | 34deg22'n 117deg41'w / row 7 : mount brukkaros, namibia | solar | 25o52's | 17o48'e | 1586.0 | 1926.0 | 1931 | 25deg52's 17deg48'e / 25 row 8 : mount saint catherine, egypt | solar | 28o31'n | 33o56'e | 2591.0 | 1934.0 | 1937 | 28deg31'n 33deg56'e / 2 row 9 : burro mountain, new mexico | solar | 32o40'n | 108o33'w | 2440.0 | 1938.0 | 1946 | 32deg40'n 108deg33'w / row 10 : organ pass, new mexico | space track | 32o25'n | 253o27'e | nan | nan | nan | 32deg25'n 106deg33'w / row 11 : olifantsfontein, south africa | space track | 25o58's | 28o15'e | nan | nan | nan | 25deg58's 28deg15'e / 25 row 12 : woomera, australia | space track | 31o06's | 136o46'e | nan | nan | nan | 31deg06's 136deg46'e / row 13 : cadiz, spain | space track | 36o28'n | 353o48'e | nan | nan | nan | 36deg28'n 6deg12'w / 3 row 14 : shiraz, iran | space track | 29o38'n | 52o31'e | nan | nan | nan | 29deg38'n 52deg31'e / 29 row 15 : curacao, netherlands west indies | space track | 12o05'n | 291o10'e | nan | nan | nan | 12deg05'n 68deg50'w / row 16 : jupiter, florida | space track | 27o01'n | 279o53'e | nan | nan | nan | 27deg01'n 80deg07'w / 2 row 17 : haleakala, hawaii | space track | 20o43'n | 203o45'e | nan | nan | nan | 20deg43'n 156deg15'w / row 18 : villa dolores, argentina | space track | 31o57'n | 294o54'e | nan | nan | nan | 31deg57'n 65deg06'e / 31 row 19 : mitaka, japan | space track | nan | nan | nan | nan | nan | nan
table_csv/203_839.csv
1
{ "column_index": [ 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17 ] }
[ "what are all of the stations?", "what are their coordinates?" ]
2
34deg13's 118deg56'w /, 36deg8'n 82deg0'w /, 22deg28's 68deg56'w /, 22deg40's 68deg56'w /, 33deg48'n 113deg20'w /, 34deg22'n 117deg41'w /, 25deg52's 17deg48'e / 25, 28deg31'n 33deg56'e / 2, 32deg40'n 108deg33'w /, 32deg25'n 106deg33'w /, 25deg58's 28deg15'e / 25, 31deg06's 136deg46'e /, 36deg28'n 6deg12'w / 3, 29deg38'n 52deg31'e / 29, 12deg05'n 68deg50'w /, 27deg01'n 80deg07'w / 2, 20deg43'n 156deg15'w /, 31deg57'n 65deg06'e / 31
[ "Station", "Type", "Latitude", "Longitude", "El. (m)", "Opened", "Closed", "Coordinates" ]
what are their coordinates?
[ [ "Mount Wilson, California", "Solar", "34o13'N", "118o56'W", "1737.0", "1908.0", "1920", "34deg13'S 118deg56'W /" ], [ "Hump Mountain, North Carolina", "Solar", "36o8'N", "82o0'W", "1500.0", "1917.0", "1918", "36deg8'N 82deg0'W /" ], [ "Calama, Chile", "Solar", "22o28'S", "68o56'W", "2250.0", "1918.0", "1920", "22deg28'S 68deg56'W /" ], [ "Mount Montezuma, Chile", "Solar", "22o40'S", "68o56'W", "2711.0", "1920.0", "?", "22deg40'S 68deg56'W /" ], [ "Mount Harquahala, Arizona", "Solar", "33o48'N", "113o20'W", "1721.0", "1920.0", "1925", "33deg48'N 113deg20'W /" ], [ "Table Mountain, California", "Solar", "34o22'N", "117o41'W", "2286.0", "1925.0", "1962", "34deg22'N 117deg41'W /" ], [ "Mount Brukkaros, Namibia", "Solar", "25o52'S", "17o48'E", "1586.0", "1926.0", "1931", "25deg52'S 17deg48'E / 25" ], [ "Mount Saint Catherine, Egypt", "Solar", "28o31'N", "33o56'E", "2591.0", "1934.0", "1937", "28deg31'N 33deg56'E / 2" ], [ "Burro Mountain, New Mexico", "Solar", "32o40'N", "108o33'W", "2440.0", "1938.0", "1946", "32deg40'N 108deg33'W /" ], [ "Organ Pass, New Mexico", "Space Track", "32o25'N", "253o27'E", "nan", "nan", "nan", "32deg25'N 106deg33'W /" ], [ "Olifantsfontein, South Africa", "Space Track", "25o58'S", "28o15'E", "nan", "nan", "nan", "25deg58'S 28deg15'E / 25" ], [ "Woomera, Australia", "Space Track", "31o06'S", "136o46'E", "nan", "nan", "nan", "31deg06'S 136deg46'E /" ], [ "Cadiz, Spain", "Space Track", "36o28'N", "353o48'E", "nan", "nan", "nan", "36deg28'N 6deg12'W / 3" ], [ "Shiraz, Iran", "Space Track", "29o38'N", "52o31'E", "nan", "nan", "nan", "29deg38'N 52deg31'E / 29" ], [ "Curacao, Netherlands West Indies", "Space Track", "12o05'N", "291o10'E", "nan", "nan", "nan", "12deg05'N 68deg50'W /" ], [ "Jupiter, Florida", "Space Track", "27o01'N", "279o53'E", "nan", "nan", "nan", "27deg01'N 80deg07'W / 2" ], [ "Haleakala, Hawaii", "Space Track", "20o43'N", "203o45'E", "nan", "nan", "nan", "20deg43'N 156deg15'W /" ], [ "Villa Dolores, Argentina", "Space Track", "31o57'N", "294o54'E", "nan", "nan", "nan", "31deg57'N 65deg06'E / 31" ], [ "Mitaka, Japan", "Space Track", "nan", "nan", "nan", "nan", "nan", "nan" ] ]
[ "34deg13'S 118deg56'W /", "36deg8'N 82deg0'W /", "22deg28'S 68deg56'W /", "22deg40'S 68deg56'W /", "33deg48'N 113deg20'W /", "34deg22'N 117deg41'W /", "25deg52'S 17deg48'E / 25", "28deg31'N 33deg56'E / 2", "32deg40'N 108deg33'W /", "32deg25'N 106deg33'W /", "25deg58'S 28deg15'E / 25", "31deg06'S 136deg46'E /", "36deg28'N 6deg12'W / 3", "29deg38'N 52deg31'E / 29", "12deg05'N 68deg50'W /", "27deg01'N 80deg07'W / 2", "20deg43'N 156deg15'W /", "31deg57'N 65deg06'E / 31" ]
what are their coordinates? || what are all of the stations?
ns-3318
col : station | type | latitude | longitude | el. (m) | opened | closed | coordinates row 1 : mount wilson, california | solar | 34o13'n | 118o56'w | 1737.0 | 1908.0 | 1920 | 34deg13's 118deg56'w / row 2 : hump mountain, north carolina | solar | 36o8'n | 82o0'w | 1500.0 | 1917.0 | 1918 | 36deg8'n 82deg0'w / row 3 : calama, chile | solar | 22o28's | 68o56'w | 2250.0 | 1918.0 | 1920 | 22deg28's 68deg56'w / row 4 : mount montezuma, chile | solar | 22o40's | 68o56'w | 2711.0 | 1920.0 | ? | 22deg40's 68deg56'w / row 5 : mount harquahala, arizona | solar | 33o48'n | 113o20'w | 1721.0 | 1920.0 | 1925 | 33deg48'n 113deg20'w / row 6 : table mountain, california | solar | 34o22'n | 117o41'w | 2286.0 | 1925.0 | 1962 | 34deg22'n 117deg41'w / row 7 : mount brukkaros, namibia | solar | 25o52's | 17o48'e | 1586.0 | 1926.0 | 1931 | 25deg52's 17deg48'e / 25 row 8 : mount saint catherine, egypt | solar | 28o31'n | 33o56'e | 2591.0 | 1934.0 | 1937 | 28deg31'n 33deg56'e / 2 row 9 : burro mountain, new mexico | solar | 32o40'n | 108o33'w | 2440.0 | 1938.0 | 1946 | 32deg40'n 108deg33'w / row 10 : organ pass, new mexico | space track | 32o25'n | 253o27'e | nan | nan | nan | 32deg25'n 106deg33'w / row 11 : olifantsfontein, south africa | space track | 25o58's | 28o15'e | nan | nan | nan | 25deg58's 28deg15'e / 25 row 12 : woomera, australia | space track | 31o06's | 136o46'e | nan | nan | nan | 31deg06's 136deg46'e / row 13 : cadiz, spain | space track | 36o28'n | 353o48'e | nan | nan | nan | 36deg28'n 6deg12'w / 3 row 14 : shiraz, iran | space track | 29o38'n | 52o31'e | nan | nan | nan | 29deg38'n 52deg31'e / 29 row 15 : curacao, netherlands west indies | space track | 12o05'n | 291o10'e | nan | nan | nan | 12deg05'n 68deg50'w / row 16 : haleakala, hawaii | space track | 20o43'n | 203o45'e | nan | nan | nan | 20deg43'n 156deg15'w / row 17 : villa dolores, argentina | space track | 31o57'n | 294o54'e | nan | nan | nan | 31deg57'n 65deg06'e / 31 row 18 : mitaka, japan | space track | nan | nan | nan | nan | nan | nan
table_csv/203_839.csv
2
{ "column_index": [ 7, 7 ], "row_index": [ 2, 12 ] }
[ "what are all of the stations?", "what are their coordinates?", "what about just calama, chile and cadiz, spain?" ]
2
22deg28's 68deg56'w /, 36deg28'n 6deg12'w / 3
[ "Station", "Type", "Latitude", "Longitude", "El. (m)", "Opened", "Closed", "Coordinates" ]
what about just calama, chile and cadiz, spain?
[ [ "Mount Wilson, California", "Solar", "34o13'N", "118o56'W", "1737.0", "1908.0", "1920", "34deg13'S 118deg56'W /" ], [ "Hump Mountain, North Carolina", "Solar", "36o8'N", "82o0'W", "1500.0", "1917.0", "1918", "36deg8'N 82deg0'W /" ], [ "Calama, Chile", "Solar", "22o28'S", "68o56'W", "2250.0", "1918.0", "1920", "22deg28'S 68deg56'W /" ], [ "Mount Montezuma, Chile", "Solar", "22o40'S", "68o56'W", "2711.0", "1920.0", "?", "22deg40'S 68deg56'W /" ], [ "Mount Harquahala, Arizona", "Solar", "33o48'N", "113o20'W", "1721.0", "1920.0", "1925", "33deg48'N 113deg20'W /" ], [ "Table Mountain, California", "Solar", "34o22'N", "117o41'W", "2286.0", "1925.0", "1962", "34deg22'N 117deg41'W /" ], [ "Mount Brukkaros, Namibia", "Solar", "25o52'S", "17o48'E", "1586.0", "1926.0", "1931", "25deg52'S 17deg48'E / 25" ], [ "Mount Saint Catherine, Egypt", "Solar", "28o31'N", "33o56'E", "2591.0", "1934.0", "1937", "28deg31'N 33deg56'E / 2" ], [ "Burro Mountain, New Mexico", "Solar", "32o40'N", "108o33'W", "2440.0", "1938.0", "1946", "32deg40'N 108deg33'W /" ], [ "Organ Pass, New Mexico", "Space Track", "32o25'N", "253o27'E", "nan", "nan", "nan", "32deg25'N 106deg33'W /" ], [ "Olifantsfontein, South Africa", "Space Track", "25o58'S", "28o15'E", "nan", "nan", "nan", "25deg58'S 28deg15'E / 25" ], [ "Woomera, Australia", "Space Track", "31o06'S", "136o46'E", "nan", "nan", "nan", "31deg06'S 136deg46'E /" ], [ "Cadiz, Spain", "Space Track", "36o28'N", "353o48'E", "nan", "nan", "nan", "36deg28'N 6deg12'W / 3" ], [ "Shiraz, Iran", "Space Track", "29o38'N", "52o31'E", "nan", "nan", "nan", "29deg38'N 52deg31'E / 29" ], [ "Curacao, Netherlands West Indies", "Space Track", "12o05'N", "291o10'E", "nan", "nan", "nan", "12deg05'N 68deg50'W /" ], [ "Haleakala, Hawaii", "Space Track", "20o43'N", "203o45'E", "nan", "nan", "nan", "20deg43'N 156deg15'W /" ], [ "Villa Dolores, Argentina", "Space Track", "31o57'N", "294o54'E", "nan", "nan", "nan", "31deg57'N 65deg06'E / 31" ], [ "Mitaka, Japan", "Space Track", "nan", "nan", "nan", "nan", "nan", "nan" ] ]
[ "22deg28'S 68deg56'W /", "36deg28'N 6deg12'W / 3" ]
what about just calama, chile and cadiz, spain? || what are their coordinates? | what are all of the stations?
ns-3318
col : station | type | latitude | longitude | el. (m) | opened | closed | coordinates row 1 : mount wilson, california | solar | 34o13'n | 118o56'w | 1737.0 | 1908.0 | 1920 | 34deg13's 118deg56'w / row 2 : hump mountain, north carolina | solar | 36o8'n | 82o0'w | 1500.0 | 1917.0 | 1918 | 36deg8'n 82deg0'w / row 3 : calama, chile | solar | 22o28's | 68o56'w | 2250.0 | 1918.0 | 1920 | 22deg28's 68deg56'w / row 4 : mount montezuma, chile | solar | 22o40's | 68o56'w | 2711.0 | 1920.0 | ? | 22deg40's 68deg56'w / row 5 : mount harquahala, arizona | solar | 33o48'n | 113o20'w | 1721.0 | 1920.0 | 1925 | 33deg48'n 113deg20'w / row 6 : table mountain, california | solar | 34o22'n | 117o41'w | 2286.0 | 1925.0 | 1962 | 34deg22'n 117deg41'w / row 7 : mount brukkaros, namibia | solar | 25o52's | 17o48'e | 1586.0 | 1926.0 | 1931 | 25deg52's 17deg48'e / 25 row 8 : mount saint catherine, egypt | solar | 28o31'n | 33o56'e | 2591.0 | 1934.0 | 1937 | 28deg31'n 33deg56'e / 2 row 9 : burro mountain, new mexico | solar | 32o40'n | 108o33'w | 2440.0 | 1938.0 | 1946 | 32deg40'n 108deg33'w / row 10 : organ pass, new mexico | space track | 32o25'n | 253o27'e | nan | nan | nan | 32deg25'n 106deg33'w / row 11 : olifantsfontein, south africa | space track | 25o58's | 28o15'e | nan | nan | nan | 25deg58's 28deg15'e / 25 row 12 : woomera, australia | space track | 31o06's | 136o46'e | nan | nan | nan | 31deg06's 136deg46'e / row 13 : cadiz, spain | space track | 36o28'n | 353o48'e | nan | nan | nan | 36deg28'n 6deg12'w / 3 row 14 : shiraz, iran | space track | 29o38'n | 52o31'e | nan | nan | nan | 29deg38'n 52deg31'e / 29 row 15 : curacao, netherlands west indies | space track | 12o05'n | 291o10'e | nan | nan | nan | 12deg05'n 68deg50'w / row 16 : jupiter, florida | space track | 27o01'n | 279o53'e | nan | nan | nan | 27deg01'n 80deg07'w / 2 row 17 : haleakala, hawaii | space track | 20o43'n | 203o45'e | nan | nan | nan | 20deg43'n 156deg15'w / row 18 : villa dolores, argentina | space track | 31o57'n | 294o54'e | nan | nan | nan | 31deg57'n 65deg06'e / 31
table_csv/203_839.csv
3
{ "column_index": [ 0 ], "row_index": [ 2 ] }
[ "what are all of the stations?", "what are their coordinates?", "what about just calama, chile and cadiz, spain?", "now, which of the two is closer to the equator?" ]
2
calama, chile
[ "Station", "Type", "Latitude", "Longitude", "El. (m)", "Opened", "Closed", "Coordinates" ]
now, which of the two is closer to the equator?
[ [ "Mount Wilson, California", "Solar", "34o13'N", "118o56'W", "1737.0", "1908.0", "1920", "34deg13'S 118deg56'W /" ], [ "Hump Mountain, North Carolina", "Solar", "36o8'N", "82o0'W", "1500.0", "1917.0", "1918", "36deg8'N 82deg0'W /" ], [ "Calama, Chile", "Solar", "22o28'S", "68o56'W", "2250.0", "1918.0", "1920", "22deg28'S 68deg56'W /" ], [ "Mount Montezuma, Chile", "Solar", "22o40'S", "68o56'W", "2711.0", "1920.0", "?", "22deg40'S 68deg56'W /" ], [ "Mount Harquahala, Arizona", "Solar", "33o48'N", "113o20'W", "1721.0", "1920.0", "1925", "33deg48'N 113deg20'W /" ], [ "Table Mountain, California", "Solar", "34o22'N", "117o41'W", "2286.0", "1925.0", "1962", "34deg22'N 117deg41'W /" ], [ "Mount Brukkaros, Namibia", "Solar", "25o52'S", "17o48'E", "1586.0", "1926.0", "1931", "25deg52'S 17deg48'E / 25" ], [ "Mount Saint Catherine, Egypt", "Solar", "28o31'N", "33o56'E", "2591.0", "1934.0", "1937", "28deg31'N 33deg56'E / 2" ], [ "Burro Mountain, New Mexico", "Solar", "32o40'N", "108o33'W", "2440.0", "1938.0", "1946", "32deg40'N 108deg33'W /" ], [ "Organ Pass, New Mexico", "Space Track", "32o25'N", "253o27'E", "nan", "nan", "nan", "32deg25'N 106deg33'W /" ], [ "Olifantsfontein, South Africa", "Space Track", "25o58'S", "28o15'E", "nan", "nan", "nan", "25deg58'S 28deg15'E / 25" ], [ "Woomera, Australia", "Space Track", "31o06'S", "136o46'E", "nan", "nan", "nan", "31deg06'S 136deg46'E /" ], [ "Cadiz, Spain", "Space Track", "36o28'N", "353o48'E", "nan", "nan", "nan", "36deg28'N 6deg12'W / 3" ], [ "Shiraz, Iran", "Space Track", "29o38'N", "52o31'E", "nan", "nan", "nan", "29deg38'N 52deg31'E / 29" ], [ "Curacao, Netherlands West Indies", "Space Track", "12o05'N", "291o10'E", "nan", "nan", "nan", "12deg05'N 68deg50'W /" ], [ "Jupiter, Florida", "Space Track", "27o01'N", "279o53'E", "nan", "nan", "nan", "27deg01'N 80deg07'W / 2" ], [ "Haleakala, Hawaii", "Space Track", "20o43'N", "203o45'E", "nan", "nan", "nan", "20deg43'N 156deg15'W /" ], [ "Villa Dolores, Argentina", "Space Track", "31o57'N", "294o54'E", "nan", "nan", "nan", "31deg57'N 65deg06'E / 31" ] ]
[ "Calama, Chile" ]
now, which of the two is closer to the equator? || what about just calama, chile and cadiz, spain? | what are their coordinates? | what are all of the stations?
nt-372
col : # | date | opponent | score | win | loss | save | attendance | record row 1 : 106 | august 2 | pirates | 2-3 | rick white (4-5) | bobby munoz (7-4) | dan miceli (2) | 40,164 | 51-55 row 2 : 107 | august 3 | pirates | 7-0 | danny jackson (14-5) | steve cooke (4-10) | none | 36,542 | 52-55 row 3 : 108 | august 4 | pirates | 1-5 | jon lieber (6-6) | curt schilling (1-8) | none | 37,481 | 52-56 row 4 : 109 | august 5 | expos | 0-5 | pedro martinez (10-5) | david west (4-9) | none | 33,642 | 52-57 row 5 : 110 | august 6 | expos | 3-4 (11) | john wetteland (4-6) | doug jones (2-4) | jeff shaw (1) | 41,699 | 52-58 row 6 : 111 | august 7 | expos | 4-6 | ken hill (16-5) | bobby munoz (7-5) | mel rojas (16) | 45,346 | 52-59 row 7 : 112 | august 8 | mets | 2-3 | bobby j. jones (12-7) | danny jackson (14-6) | john franco (29) | 35,977 | 52-60 row 8 : 113 | august 9 | mets | 5-1 | curt schilling (2-8) | mike remlinger (1-5) | none | 31,740 | 53-60 row 9 : 114 | august 10 | mets | 2-6 | bret saberhagen (14-4) | david west (4-10) | john franco (30) | 36,716 | 53-61 row 10 : 115 | august 11 | mets | 2-1 (15) | tom edens (5-1) | mauro gozzo (3-5) | none | 37,605 | 54-61
table_csv/203_240.csv
0
{ "column_index": [ 2 ], "row_index": [ 5 ] }
[ "who did the phillies play in game number 111?" ]
0
expos
[ "#", "Date", "Opponent", "Score", "Win", "Loss", "Save", "Attendance", "Record" ]
who did the phillies play in game number 111?
[ [ "106", "August 2", "Pirates", "2-3", "Rick White (4-5)", "Bobby Munoz (7-4)", "Dan Miceli (2)", "40,164", "51-55" ], [ "107", "August 3", "Pirates", "7-0", "Danny Jackson (14-5)", "Steve Cooke (4-10)", "None", "36,542", "52-55" ], [ "108", "August 4", "Pirates", "1-5", "Jon Lieber (6-6)", "Curt Schilling (1-8)", "None", "37,481", "52-56" ], [ "109", "August 5", "Expos", "0-5", "Pedro Martinez (10-5)", "David West (4-9)", "None", "33,642", "52-57" ], [ "110", "August 6", "Expos", "3-4 (11)", "John Wetteland (4-6)", "Doug Jones (2-4)", "Jeff Shaw (1)", "41,699", "52-58" ], [ "111", "August 7", "Expos", "4-6", "Ken Hill (16-5)", "Bobby Munoz (7-5)", "Mel Rojas (16)", "45,346", "52-59" ], [ "112", "August 8", "Mets", "2-3", "Bobby J. Jones (12-7)", "Danny Jackson (14-6)", "John Franco (29)", "35,977", "52-60" ], [ "113", "August 9", "Mets", "5-1", "Curt Schilling (2-8)", "Mike Remlinger (1-5)", "None", "31,740", "53-60" ], [ "114", "August 10", "Mets", "2-6", "Bret Saberhagen (14-4)", "David West (4-10)", "John Franco (30)", "36,716", "53-61" ], [ "115", "August 11", "Mets", "2-1 (15)", "Tom Edens (5-1)", "Mauro Gozzo (3-5)", "None", "37,605", "54-61" ] ]
[ "Expos" ]
who did the phillies play in game number 111? ||
nt-372
col : # | date | opponent | score | win | loss | save | attendance | record row 1 : 106 | august 2 | pirates | 2-3 | rick white (4-5) | bobby munoz (7-4) | dan miceli (2) | 40,164 | 51-55 row 2 : 107 | august 3 | pirates | 7-0 | danny jackson (14-5) | steve cooke (4-10) | none | 36,542 | 52-55 row 3 : 108 | august 4 | pirates | 1-5 | jon lieber (6-6) | curt schilling (1-8) | none | 37,481 | 52-56 row 4 : 109 | august 5 | expos | 0-5 | pedro martinez (10-5) | david west (4-9) | none | 33,642 | 52-57 row 5 : 110 | august 6 | expos | 3-4 (11) | john wetteland (4-6) | doug jones (2-4) | jeff shaw (1) | 41,699 | 52-58 row 6 : 111 | august 7 | expos | 4-6 | ken hill (16-5) | bobby munoz (7-5) | mel rojas (16) | 45,346 | 52-59 row 7 : 112 | august 8 | mets | 2-3 | bobby j. jones (12-7) | danny jackson (14-6) | john franco (29) | 35,977 | 52-60 row 8 : 113 | august 9 | mets | 5-1 | curt schilling (2-8) | mike remlinger (1-5) | none | 31,740 | 53-60 row 9 : 114 | august 10 | mets | 2-6 | bret saberhagen (14-4) | david west (4-10) | john franco (30) | 36,716 | 53-61 row 10 : 115 | august 11 | mets | 2-1 (15) | tom edens (5-1) | mauro gozzo (3-5) | none | 37,605 | 54-61
table_csv/203_240.csv
1
{ "column_index": [ 4 ], "row_index": [ 5 ] }
[ "who did the phillies play in game number 111?", "who was the winning pitcher in that game?" ]
0
ken hill (16-5)
[ "#", "Date", "Opponent", "Score", "Win", "Loss", "Save", "Attendance", "Record" ]
who was the winning pitcher in that game?
[ [ "106", "August 2", "Pirates", "2-3", "Rick White (4-5)", "Bobby Munoz (7-4)", "Dan Miceli (2)", "40,164", "51-55" ], [ "107", "August 3", "Pirates", "7-0", "Danny Jackson (14-5)", "Steve Cooke (4-10)", "None", "36,542", "52-55" ], [ "108", "August 4", "Pirates", "1-5", "Jon Lieber (6-6)", "Curt Schilling (1-8)", "None", "37,481", "52-56" ], [ "109", "August 5", "Expos", "0-5", "Pedro Martinez (10-5)", "David West (4-9)", "None", "33,642", "52-57" ], [ "110", "August 6", "Expos", "3-4 (11)", "John Wetteland (4-6)", "Doug Jones (2-4)", "Jeff Shaw (1)", "41,699", "52-58" ], [ "111", "August 7", "Expos", "4-6", "Ken Hill (16-5)", "Bobby Munoz (7-5)", "Mel Rojas (16)", "45,346", "52-59" ], [ "112", "August 8", "Mets", "2-3", "Bobby J. Jones (12-7)", "Danny Jackson (14-6)", "John Franco (29)", "35,977", "52-60" ], [ "113", "August 9", "Mets", "5-1", "Curt Schilling (2-8)", "Mike Remlinger (1-5)", "None", "31,740", "53-60" ], [ "114", "August 10", "Mets", "2-6", "Bret Saberhagen (14-4)", "David West (4-10)", "John Franco (30)", "36,716", "53-61" ], [ "115", "August 11", "Mets", "2-1 (15)", "Tom Edens (5-1)", "Mauro Gozzo (3-5)", "None", "37,605", "54-61" ] ]
[ "Ken Hill (16-5)" ]
who was the winning pitcher in that game? || who did the phillies play in game number 111?
nt-372
col : # | date | opponent | score | win | loss | save | attendance | record row 1 : 106 | august 2 | pirates | 2-3 | rick white (4-5) | bobby munoz (7-4) | dan miceli (2) | 40,164 | 51-55 row 2 : 107 | august 3 | pirates | 7-0 | danny jackson (14-5) | steve cooke (4-10) | none | 36,542 | 52-55 row 3 : 108 | august 4 | pirates | 1-5 | jon lieber (6-6) | curt schilling (1-8) | none | 37,481 | 52-56 row 4 : 109 | august 5 | expos | 0-5 | pedro martinez (10-5) | david west (4-9) | none | 33,642 | 52-57 row 5 : 110 | august 6 | expos | 3-4 (11) | john wetteland (4-6) | doug jones (2-4) | jeff shaw (1) | 41,699 | 52-58 row 6 : 111 | august 7 | expos | 4-6 | ken hill (16-5) | bobby munoz (7-5) | mel rojas (16) | 45,346 | 52-59 row 7 : 112 | august 8 | mets | 2-3 | bobby j. jones (12-7) | danny jackson (14-6) | john franco (29) | 35,977 | 52-60 row 8 : 113 | august 9 | mets | 5-1 | curt schilling (2-8) | mike remlinger (1-5) | none | 31,740 | 53-60 row 9 : 114 | august 10 | mets | 2-6 | bret saberhagen (14-4) | david west (4-10) | john franco (30) | 36,716 | 53-61 row 10 : 115 | august 11 | mets | 2-1 (15) | tom edens (5-1) | mauro gozzo (3-5) | none | 37,605 | 54-61
table_csv/203_240.csv
2
{ "column_index": [ 1 ], "row_index": [ 5 ] }
[ "who did the phillies play in game number 111?", "who was the winning pitcher in that game?", "what was the date of that game?" ]
0
august 7
[ "#", "Date", "Opponent", "Score", "Win", "Loss", "Save", "Attendance", "Record" ]
what was the date of that game?
[ [ "106", "August 2", "Pirates", "2-3", "Rick White (4-5)", "Bobby Munoz (7-4)", "Dan Miceli (2)", "40,164", "51-55" ], [ "107", "August 3", "Pirates", "7-0", "Danny Jackson (14-5)", "Steve Cooke (4-10)", "None", "36,542", "52-55" ], [ "108", "August 4", "Pirates", "1-5", "Jon Lieber (6-6)", "Curt Schilling (1-8)", "None", "37,481", "52-56" ], [ "109", "August 5", "Expos", "0-5", "Pedro Martinez (10-5)", "David West (4-9)", "None", "33,642", "52-57" ], [ "110", "August 6", "Expos", "3-4 (11)", "John Wetteland (4-6)", "Doug Jones (2-4)", "Jeff Shaw (1)", "41,699", "52-58" ], [ "111", "August 7", "Expos", "4-6", "Ken Hill (16-5)", "Bobby Munoz (7-5)", "Mel Rojas (16)", "45,346", "52-59" ], [ "112", "August 8", "Mets", "2-3", "Bobby J. Jones (12-7)", "Danny Jackson (14-6)", "John Franco (29)", "35,977", "52-60" ], [ "113", "August 9", "Mets", "5-1", "Curt Schilling (2-8)", "Mike Remlinger (1-5)", "None", "31,740", "53-60" ], [ "114", "August 10", "Mets", "2-6", "Bret Saberhagen (14-4)", "David West (4-10)", "John Franco (30)", "36,716", "53-61" ], [ "115", "August 11", "Mets", "2-1 (15)", "Tom Edens (5-1)", "Mauro Gozzo (3-5)", "None", "37,605", "54-61" ] ]
[ "August 7" ]
what was the date of that game? || who was the winning pitcher in that game? | who did the phillies play in game number 111?
nt-372
col : # | date | opponent | score | win | loss | save | attendance | record row 1 : 106 | august 2 | pirates | 2-3 | rick white (4-5) | bobby munoz (7-4) | dan miceli (2) | 40,164 | 51-55 row 2 : 107 | august 3 | pirates | 7-0 | danny jackson (14-5) | steve cooke (4-10) | none | 36,542 | 52-55 row 3 : 108 | august 4 | pirates | 1-5 | jon lieber (6-6) | curt schilling (1-8) | none | 37,481 | 52-56 row 4 : 109 | august 5 | expos | 0-5 | pedro martinez (10-5) | david west (4-9) | none | 33,642 | 52-57 row 5 : 110 | august 6 | expos | 3-4 (11) | john wetteland (4-6) | doug jones (2-4) | jeff shaw (1) | 41,699 | 52-58 row 6 : 111 | august 7 | expos | 4-6 | ken hill (16-5) | bobby munoz (7-5) | mel rojas (16) | 45,346 | 52-59 row 7 : 112 | august 8 | mets | 2-3 | bobby j. jones (12-7) | danny jackson (14-6) | john franco (29) | 35,977 | 52-60 row 8 : 113 | august 9 | mets | 5-1 | curt schilling (2-8) | mike remlinger (1-5) | none | 31,740 | 53-60 row 9 : 114 | august 10 | mets | 2-6 | bret saberhagen (14-4) | david west (4-10) | john franco (30) | 36,716 | 53-61 row 10 : 115 | august 11 | mets | 2-1 (15) | tom edens (5-1) | mauro gozzo (3-5) | none | 37,605 | 54-61
table_csv/203_240.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 ] }
[ "what are all the dates?" ]
1
august 2, august 3, august 4, august 5, august 6, august 7, august 8, august 9, august 10, august 11
[ "#", "Date", "Opponent", "Score", "Win", "Loss", "Save", "Attendance", "Record" ]
what are all the dates?
[ [ "106", "August 2", "Pirates", "2-3", "Rick White (4-5)", "Bobby Munoz (7-4)", "Dan Miceli (2)", "40,164", "51-55" ], [ "107", "August 3", "Pirates", "7-0", "Danny Jackson (14-5)", "Steve Cooke (4-10)", "None", "36,542", "52-55" ], [ "108", "August 4", "Pirates", "1-5", "Jon Lieber (6-6)", "Curt Schilling (1-8)", "None", "37,481", "52-56" ], [ "109", "August 5", "Expos", "0-5", "Pedro Martinez (10-5)", "David West (4-9)", "None", "33,642", "52-57" ], [ "110", "August 6", "Expos", "3-4 (11)", "John Wetteland (4-6)", "Doug Jones (2-4)", "Jeff Shaw (1)", "41,699", "52-58" ], [ "111", "August 7", "Expos", "4-6", "Ken Hill (16-5)", "Bobby Munoz (7-5)", "Mel Rojas (16)", "45,346", "52-59" ], [ "112", "August 8", "Mets", "2-3", "Bobby J. Jones (12-7)", "Danny Jackson (14-6)", "John Franco (29)", "35,977", "52-60" ], [ "113", "August 9", "Mets", "5-1", "Curt Schilling (2-8)", "Mike Remlinger (1-5)", "None", "31,740", "53-60" ], [ "114", "August 10", "Mets", "2-6", "Bret Saberhagen (14-4)", "David West (4-10)", "John Franco (30)", "36,716", "53-61" ], [ "115", "August 11", "Mets", "2-1 (15)", "Tom Edens (5-1)", "Mauro Gozzo (3-5)", "None", "37,605", "54-61" ] ]
[ "August 2", "August 3", "August 4", "August 5", "August 6", "August 7", "August 8", "August 9", "August 10", "August 11" ]
what are all the dates? ||
nt-372
col : # | date | opponent | score | win | loss | save | attendance | record row 1 : 106 | august 2 | pirates | 2-3 | rick white (4-5) | bobby munoz (7-4) | dan miceli (2) | 40,164 | 51-55 row 2 : 107 | august 3 | pirates | 7-0 | danny jackson (14-5) | steve cooke (4-10) | none | 36,542 | 52-55 row 3 : 108 | august 4 | pirates | 1-5 | jon lieber (6-6) | curt schilling (1-8) | none | 37,481 | 52-56 row 4 : 109 | august 5 | expos | 0-5 | pedro martinez (10-5) | david west (4-9) | none | 33,642 | 52-57 row 5 : 110 | august 6 | expos | 3-4 (11) | john wetteland (4-6) | doug jones (2-4) | jeff shaw (1) | 41,699 | 52-58 row 6 : 111 | august 7 | expos | 4-6 | ken hill (16-5) | bobby munoz (7-5) | mel rojas (16) | 45,346 | 52-59 row 7 : 112 | august 8 | mets | 2-3 | bobby j. jones (12-7) | danny jackson (14-6) | john franco (29) | 35,977 | 52-60 row 8 : 113 | august 9 | mets | 5-1 | curt schilling (2-8) | mike remlinger (1-5) | none | 31,740 | 53-60 row 9 : 114 | august 10 | mets | 2-6 | bret saberhagen (14-4) | david west (4-10) | john franco (30) | 36,716 | 53-61 row 10 : 115 | august 11 | mets | 2-1 (15) | tom edens (5-1) | mauro gozzo (3-5) | none | 37,605 | 54-61
table_csv/203_240.csv
1
{ "column_index": [ 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 ] }
[ "what are all the dates?", "and who won on those dates?" ]
1
rick white (4-5), danny jackson (14-5), jon lieber (6-6), pedro martinez (10-5), john wetteland (4-6), ken hill (16-5), bobby j. jones (12-7), curt schilling (2-8), bret saberhagen (14-4), tom edens (5-1)
[ "#", "Date", "Opponent", "Score", "Win", "Loss", "Save", "Attendance", "Record" ]
and who won on those dates?
[ [ "106", "August 2", "Pirates", "2-3", "Rick White (4-5)", "Bobby Munoz (7-4)", "Dan Miceli (2)", "40,164", "51-55" ], [ "107", "August 3", "Pirates", "7-0", "Danny Jackson (14-5)", "Steve Cooke (4-10)", "None", "36,542", "52-55" ], [ "108", "August 4", "Pirates", "1-5", "Jon Lieber (6-6)", "Curt Schilling (1-8)", "None", "37,481", "52-56" ], [ "109", "August 5", "Expos", "0-5", "Pedro Martinez (10-5)", "David West (4-9)", "None", "33,642", "52-57" ], [ "110", "August 6", "Expos", "3-4 (11)", "John Wetteland (4-6)", "Doug Jones (2-4)", "Jeff Shaw (1)", "41,699", "52-58" ], [ "111", "August 7", "Expos", "4-6", "Ken Hill (16-5)", "Bobby Munoz (7-5)", "Mel Rojas (16)", "45,346", "52-59" ], [ "112", "August 8", "Mets", "2-3", "Bobby J. Jones (12-7)", "Danny Jackson (14-6)", "John Franco (29)", "35,977", "52-60" ], [ "113", "August 9", "Mets", "5-1", "Curt Schilling (2-8)", "Mike Remlinger (1-5)", "None", "31,740", "53-60" ], [ "114", "August 10", "Mets", "2-6", "Bret Saberhagen (14-4)", "David West (4-10)", "John Franco (30)", "36,716", "53-61" ], [ "115", "August 11", "Mets", "2-1 (15)", "Tom Edens (5-1)", "Mauro Gozzo (3-5)", "None", "37,605", "54-61" ] ]
[ "Rick White (4-5)", "Danny Jackson (14-5)", "Jon Lieber (6-6)", "Pedro Martinez (10-5)", "John Wetteland (4-6)", "Ken Hill (16-5)", "Bobby J. Jones (12-7)", "Curt Schilling (2-8)", "Bret Saberhagen (14-4)", "Tom Edens (5-1)" ]
and who won on those dates? || what are all the dates?
nt-372
col : # | date | opponent | score | win | loss | save | attendance | record row 1 : 106 | august 2 | pirates | 2-3 | rick white (4-5) | bobby munoz (7-4) | dan miceli (2) | 40,164 | 51-55 row 2 : 107 | august 3 | pirates | 7-0 | danny jackson (14-5) | steve cooke (4-10) | none | 36,542 | 52-55 row 3 : 108 | august 4 | pirates | 1-5 | jon lieber (6-6) | curt schilling (1-8) | none | 37,481 | 52-56 row 4 : 109 | august 5 | expos | 0-5 | pedro martinez (10-5) | david west (4-9) | none | 33,642 | 52-57 row 5 : 110 | august 6 | expos | 3-4 (11) | john wetteland (4-6) | doug jones (2-4) | jeff shaw (1) | 41,699 | 52-58 row 6 : 111 | august 7 | expos | 4-6 | ken hill (16-5) | bobby munoz (7-5) | mel rojas (16) | 45,346 | 52-59 row 7 : 112 | august 8 | mets | 2-3 | bobby j. jones (12-7) | danny jackson (14-6) | john franco (29) | 35,977 | 52-60 row 8 : 113 | august 9 | mets | 5-1 | curt schilling (2-8) | mike remlinger (1-5) | none | 31,740 | 53-60 row 9 : 114 | august 10 | mets | 2-6 | bret saberhagen (14-4) | david west (4-10) | john franco (30) | 36,716 | 53-61 row 10 : 115 | august 11 | mets | 2-1 (15) | tom edens (5-1) | mauro gozzo (3-5) | none | 37,605 | 54-61
table_csv/203_240.csv
2
{ "column_index": [ 1 ], "row_index": [ 5 ] }
[ "what are all the dates?", "and who won on those dates?", "when did ken hill win?" ]
1
august 7
[ "#", "Date", "Opponent", "Score", "Win", "Loss", "Save", "Attendance", "Record" ]
when did ken hill win?
[ [ "106", "August 2", "Pirates", "2-3", "Rick White (4-5)", "Bobby Munoz (7-4)", "Dan Miceli (2)", "40,164", "51-55" ], [ "107", "August 3", "Pirates", "7-0", "Danny Jackson (14-5)", "Steve Cooke (4-10)", "None", "36,542", "52-55" ], [ "108", "August 4", "Pirates", "1-5", "Jon Lieber (6-6)", "Curt Schilling (1-8)", "None", "37,481", "52-56" ], [ "109", "August 5", "Expos", "0-5", "Pedro Martinez (10-5)", "David West (4-9)", "None", "33,642", "52-57" ], [ "110", "August 6", "Expos", "3-4 (11)", "John Wetteland (4-6)", "Doug Jones (2-4)", "Jeff Shaw (1)", "41,699", "52-58" ], [ "111", "August 7", "Expos", "4-6", "Ken Hill (16-5)", "Bobby Munoz (7-5)", "Mel Rojas (16)", "45,346", "52-59" ], [ "112", "August 8", "Mets", "2-3", "Bobby J. Jones (12-7)", "Danny Jackson (14-6)", "John Franco (29)", "35,977", "52-60" ], [ "113", "August 9", "Mets", "5-1", "Curt Schilling (2-8)", "Mike Remlinger (1-5)", "None", "31,740", "53-60" ], [ "114", "August 10", "Mets", "2-6", "Bret Saberhagen (14-4)", "David West (4-10)", "John Franco (30)", "36,716", "53-61" ], [ "115", "August 11", "Mets", "2-1 (15)", "Tom Edens (5-1)", "Mauro Gozzo (3-5)", "None", "37,605", "54-61" ] ]
[ "August 7" ]
when did ken hill win? || and who won on those dates? | what are all the dates?
nt-372
col : # | date | opponent | score | win | loss | save | attendance | record row 1 : 106 | august 2 | pirates | 2-3 | rick white (4-5) | bobby munoz (7-4) | dan miceli (2) | 40,164 | 51-55 row 2 : 107 | august 3 | pirates | 7-0 | danny jackson (14-5) | steve cooke (4-10) | none | 36,542 | 52-55 row 3 : 108 | august 4 | pirates | 1-5 | jon lieber (6-6) | curt schilling (1-8) | none | 37,481 | 52-56 row 4 : 109 | august 5 | expos | 0-5 | pedro martinez (10-5) | david west (4-9) | none | 33,642 | 52-57 row 5 : 110 | august 6 | expos | 3-4 (11) | john wetteland (4-6) | doug jones (2-4) | jeff shaw (1) | 41,699 | 52-58 row 6 : 111 | august 7 | expos | 4-6 | ken hill (16-5) | bobby munoz (7-5) | mel rojas (16) | 45,346 | 52-59 row 7 : 112 | august 8 | mets | 2-3 | bobby j. jones (12-7) | danny jackson (14-6) | john franco (29) | 35,977 | 52-60 row 8 : 113 | august 9 | mets | 5-1 | curt schilling (2-8) | mike remlinger (1-5) | none | 31,740 | 53-60 row 9 : 114 | august 10 | mets | 2-6 | bret saberhagen (14-4) | david west (4-10) | john franco (30) | 36,716 | 53-61 row 10 : 115 | august 11 | mets | 2-1 (15) | tom edens (5-1) | mauro gozzo (3-5) | none | 37,605 | 54-61
table_csv/203_240.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 ] }
[ "what dates were there games?" ]
2
august 2, august 3, august 4, august 5, august 6, august 7, august 8, august 9, august 10, august 11
[ "#", "Date", "Opponent", "Score", "Win", "Loss", "Save", "Attendance", "Record" ]
what dates were there games?
[ [ "106", "August 2", "Pirates", "2-3", "Rick White (4-5)", "Bobby Munoz (7-4)", "Dan Miceli (2)", "40,164", "51-55" ], [ "107", "August 3", "Pirates", "7-0", "Danny Jackson (14-5)", "Steve Cooke (4-10)", "None", "36,542", "52-55" ], [ "108", "August 4", "Pirates", "1-5", "Jon Lieber (6-6)", "Curt Schilling (1-8)", "None", "37,481", "52-56" ], [ "109", "August 5", "Expos", "0-5", "Pedro Martinez (10-5)", "David West (4-9)", "None", "33,642", "52-57" ], [ "110", "August 6", "Expos", "3-4 (11)", "John Wetteland (4-6)", "Doug Jones (2-4)", "Jeff Shaw (1)", "41,699", "52-58" ], [ "111", "August 7", "Expos", "4-6", "Ken Hill (16-5)", "Bobby Munoz (7-5)", "Mel Rojas (16)", "45,346", "52-59" ], [ "112", "August 8", "Mets", "2-3", "Bobby J. Jones (12-7)", "Danny Jackson (14-6)", "John Franco (29)", "35,977", "52-60" ], [ "113", "August 9", "Mets", "5-1", "Curt Schilling (2-8)", "Mike Remlinger (1-5)", "None", "31,740", "53-60" ], [ "114", "August 10", "Mets", "2-6", "Bret Saberhagen (14-4)", "David West (4-10)", "John Franco (30)", "36,716", "53-61" ], [ "115", "August 11", "Mets", "2-1 (15)", "Tom Edens (5-1)", "Mauro Gozzo (3-5)", "None", "37,605", "54-61" ] ]
[ "August 2", "August 3", "August 4", "August 5", "August 6", "August 7", "August 8", "August 9", "August 10", "August 11" ]
what dates were there games? ||
nt-372
col : # | date | opponent | score | win | loss | save | attendance | record row 1 : 106 | august 2 | pirates | 2-3 | rick white (4-5) | bobby munoz (7-4) | dan miceli (2) | 40,164 | 51-55 row 2 : 107 | august 3 | pirates | 7-0 | danny jackson (14-5) | steve cooke (4-10) | none | 36,542 | 52-55 row 3 : 108 | august 4 | pirates | 1-5 | jon lieber (6-6) | curt schilling (1-8) | none | 37,481 | 52-56 row 4 : 109 | august 5 | expos | 0-5 | pedro martinez (10-5) | david west (4-9) | none | 33,642 | 52-57 row 5 : 110 | august 6 | expos | 3-4 (11) | john wetteland (4-6) | doug jones (2-4) | jeff shaw (1) | 41,699 | 52-58 row 6 : 111 | august 7 | expos | 4-6 | ken hill (16-5) | bobby munoz (7-5) | mel rojas (16) | 45,346 | 52-59 row 7 : 112 | august 8 | mets | 2-3 | bobby j. jones (12-7) | danny jackson (14-6) | john franco (29) | 35,977 | 52-60 row 8 : 113 | august 9 | mets | 5-1 | curt schilling (2-8) | mike remlinger (1-5) | none | 31,740 | 53-60 row 9 : 114 | august 10 | mets | 2-6 | bret saberhagen (14-4) | david west (4-10) | john franco (30) | 36,716 | 53-61 row 10 : 115 | august 11 | mets | 2-1 (15) | tom edens (5-1) | mauro gozzo (3-5) | none | 37,605 | 54-61
table_csv/203_240.csv
1
{ "column_index": [ 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 ] }
[ "what dates were there games?", "who were the winners on these dates?" ]
2
rick white (4-5), danny jackson (14-5), jon lieber (6-6), pedro martinez (10-5), john wetteland (4-6), ken hill (16-5), bobby j. jones (12-7), curt schilling (2-8), bret saberhagen (14-4), tom edens (5-1)
[ "#", "Date", "Opponent", "Score", "Win", "Loss", "Save", "Attendance", "Record" ]
who were the winners on these dates?
[ [ "106", "August 2", "Pirates", "2-3", "Rick White (4-5)", "Bobby Munoz (7-4)", "Dan Miceli (2)", "40,164", "51-55" ], [ "107", "August 3", "Pirates", "7-0", "Danny Jackson (14-5)", "Steve Cooke (4-10)", "None", "36,542", "52-55" ], [ "108", "August 4", "Pirates", "1-5", "Jon Lieber (6-6)", "Curt Schilling (1-8)", "None", "37,481", "52-56" ], [ "109", "August 5", "Expos", "0-5", "Pedro Martinez (10-5)", "David West (4-9)", "None", "33,642", "52-57" ], [ "110", "August 6", "Expos", "3-4 (11)", "John Wetteland (4-6)", "Doug Jones (2-4)", "Jeff Shaw (1)", "41,699", "52-58" ], [ "111", "August 7", "Expos", "4-6", "Ken Hill (16-5)", "Bobby Munoz (7-5)", "Mel Rojas (16)", "45,346", "52-59" ], [ "112", "August 8", "Mets", "2-3", "Bobby J. Jones (12-7)", "Danny Jackson (14-6)", "John Franco (29)", "35,977", "52-60" ], [ "113", "August 9", "Mets", "5-1", "Curt Schilling (2-8)", "Mike Remlinger (1-5)", "None", "31,740", "53-60" ], [ "114", "August 10", "Mets", "2-6", "Bret Saberhagen (14-4)", "David West (4-10)", "John Franco (30)", "36,716", "53-61" ], [ "115", "August 11", "Mets", "2-1 (15)", "Tom Edens (5-1)", "Mauro Gozzo (3-5)", "None", "37,605", "54-61" ] ]
[ "Rick White (4-5)", "Danny Jackson (14-5)", "Jon Lieber (6-6)", "Pedro Martinez (10-5)", "John Wetteland (4-6)", "Ken Hill (16-5)", "Bobby J. Jones (12-7)", "Curt Schilling (2-8)", "Bret Saberhagen (14-4)", "Tom Edens (5-1)" ]
who were the winners on these dates? || what dates were there games?
nt-372
col : # | date | opponent | score | win | loss | save | attendance | record row 1 : 106 | august 2 | pirates | 2-3 | rick white (4-5) | bobby munoz (7-4) | dan miceli (2) | 40,164 | 51-55 row 2 : 107 | august 3 | pirates | 7-0 | danny jackson (14-5) | steve cooke (4-10) | none | 36,542 | 52-55 row 3 : 108 | august 4 | pirates | 1-5 | jon lieber (6-6) | curt schilling (1-8) | none | 37,481 | 52-56 row 4 : 109 | august 5 | expos | 0-5 | pedro martinez (10-5) | david west (4-9) | none | 33,642 | 52-57 row 5 : 110 | august 6 | expos | 3-4 (11) | john wetteland (4-6) | doug jones (2-4) | jeff shaw (1) | 41,699 | 52-58 row 6 : 111 | august 7 | expos | 4-6 | ken hill (16-5) | bobby munoz (7-5) | mel rojas (16) | 45,346 | 52-59 row 7 : 112 | august 8 | mets | 2-3 | bobby j. jones (12-7) | danny jackson (14-6) | john franco (29) | 35,977 | 52-60 row 8 : 113 | august 9 | mets | 5-1 | curt schilling (2-8) | mike remlinger (1-5) | none | 31,740 | 53-60 row 9 : 114 | august 10 | mets | 2-6 | bret saberhagen (14-4) | david west (4-10) | john franco (30) | 36,716 | 53-61 row 10 : 115 | august 11 | mets | 2-1 (15) | tom edens (5-1) | mauro gozzo (3-5) | none | 37,605 | 54-61
table_csv/203_240.csv
2
{ "column_index": [ 1 ], "row_index": [ 5 ] }
[ "what dates were there games?", "who were the winners on these dates?", "on what day did ken hill win?" ]
2
august 7
[ "#", "Date", "Opponent", "Score", "Win", "Loss", "Save", "Attendance", "Record" ]
on what day did ken hill win?
[ [ "106", "August 2", "Pirates", "2-3", "Rick White (4-5)", "Bobby Munoz (7-4)", "Dan Miceli (2)", "40,164", "51-55" ], [ "107", "August 3", "Pirates", "7-0", "Danny Jackson (14-5)", "Steve Cooke (4-10)", "None", "36,542", "52-55" ], [ "108", "August 4", "Pirates", "1-5", "Jon Lieber (6-6)", "Curt Schilling (1-8)", "None", "37,481", "52-56" ], [ "109", "August 5", "Expos", "0-5", "Pedro Martinez (10-5)", "David West (4-9)", "None", "33,642", "52-57" ], [ "110", "August 6", "Expos", "3-4 (11)", "John Wetteland (4-6)", "Doug Jones (2-4)", "Jeff Shaw (1)", "41,699", "52-58" ], [ "111", "August 7", "Expos", "4-6", "Ken Hill (16-5)", "Bobby Munoz (7-5)", "Mel Rojas (16)", "45,346", "52-59" ], [ "112", "August 8", "Mets", "2-3", "Bobby J. Jones (12-7)", "Danny Jackson (14-6)", "John Franco (29)", "35,977", "52-60" ], [ "113", "August 9", "Mets", "5-1", "Curt Schilling (2-8)", "Mike Remlinger (1-5)", "None", "31,740", "53-60" ], [ "114", "August 10", "Mets", "2-6", "Bret Saberhagen (14-4)", "David West (4-10)", "John Franco (30)", "36,716", "53-61" ], [ "115", "August 11", "Mets", "2-1 (15)", "Tom Edens (5-1)", "Mauro Gozzo (3-5)", "None", "37,605", "54-61" ] ]
[ "August 7" ]
on what day did ken hill win? || who were the winners on these dates? | what dates were there games?
nt-10278
col : group | members | caucusing | total row 1 : socialist group | 242 | 8 | 250 row 2 : rpr group | 136 | 6 | 140 row 3 : udf group | 107 | 6 | 113 row 4 : communist group | 34 | 2 | 36 row 5 : radical, citizen and green | 33 | 0 | 33 row 6 : non-inscrits | 5 | 0 | 5 row 7 : total: | 555 | 22 | 577
table_csv/203_266.csv
0
{ "column_index": [ 0, 0, 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 3, 4, 5 ] }
[ "what are all of the groups?" ]
0
socialist group, rpr group, udf group, communist group, radical, citizen and green, non-inscrits
[ "Group", "Members", "Caucusing", "Total" ]
what are all of the groups?
[ [ "Socialist Group", "242", "8", "250" ], [ "RPR Group", "136", "6", "140" ], [ "UDF Group", "107", "6", "113" ], [ "Communist Group", "34", "2", "36" ], [ "Radical, Citizen and Green", "33", "0", "33" ], [ "Non-Inscrits", "5", "0", "5" ], [ "Total:", "555", "22", "577" ] ]
[ "Socialist Group", "RPR Group", "UDF Group", "Communist Group", "Radical, Citizen and Green", "Non-Inscrits" ]
what are all of the groups? ||
nt-10278
col : group | members | caucusing | total row 1 : socialist group | 242 | 8 | 250 row 2 : rpr group | 136 | 6 | 140 row 3 : udf group | 107 | 6 | 113 row 4 : communist group | 34 | 2 | 36 row 5 : radical, citizen and green | 33 | 0 | 33 row 6 : non-inscrits | 5 | 0 | 5 row 7 : total: | 555 | 22 | 577
table_csv/203_266.csv
1
{ "column_index": [ 2, 2, 2, 2, 2, 2 ], "row_index": [ 0, 1, 2, 3, 4, 5 ] }
[ "what are all of the groups?", "what were their caucusing numbers?" ]
0
8, 6, 6, 2, 0, 0
[ "Group", "Members", "Caucusing", "Total" ]
what were their caucusing numbers?
[ [ "Socialist Group", "242", "8", "250" ], [ "RPR Group", "136", "6", "140" ], [ "UDF Group", "107", "6", "113" ], [ "Communist Group", "34", "2", "36" ], [ "Radical, Citizen and Green", "33", "0", "33" ], [ "Non-Inscrits", "5", "0", "5" ], [ "Total:", "555", "22", "577" ] ]
[ "8", "6", "6", "2", "0", "0" ]
what were their caucusing numbers? || what are all of the groups?
nt-10278
col : group | members | caucusing | total row 1 : socialist group | 242 | 8 | 250 row 2 : rpr group | 136 | 6 | 140 row 3 : udf group | 107 | 6 | 113 row 4 : communist group | 34 | 2 | 36 row 5 : radical, citizen and green | 33 | 0 | 33 row 6 : non-inscrits | 5 | 0 | 5 row 7 : total: | 555 | 22 | 577
table_csv/203_266.csv
2
{ "column_index": [ 2 ], "row_index": [ 1 ] }
[ "what are all of the groups?", "what were their caucusing numbers?", "how many does rpr group have?" ]
0
6
[ "Group", "Members", "Caucusing", "Total" ]
how many does rpr group have?
[ [ "Socialist Group", "242", "8", "250" ], [ "RPR Group", "136", "6", "140" ], [ "UDF Group", "107", "6", "113" ], [ "Communist Group", "34", "2", "36" ], [ "Radical, Citizen and Green", "33", "0", "33" ], [ "Non-Inscrits", "5", "0", "5" ], [ "Total:", "555", "22", "577" ] ]
[ "6" ]
how many does rpr group have? || what were their caucusing numbers? | what are all of the groups?
nt-10278
col : group | members | caucusing | total row 1 : socialist group | 242 | 8 | 250 row 2 : rpr group | 136 | 6 | 140 row 3 : udf group | 107 | 6 | 113 row 4 : communist group | 34 | 2 | 36 row 5 : radical, citizen and green | 33 | 0 | 33 row 6 : non-inscrits | 5 | 0 | 5 row 7 : total: | 555 | 22 | 577
table_csv/203_266.csv
3
{ "column_index": [ 0 ], "row_index": [ 2 ] }
[ "what are all of the groups?", "what were their caucusing numbers?", "how many does rpr group have?", "and which other group has that amount?" ]
0
udf group
[ "Group", "Members", "Caucusing", "Total" ]
and which other group has that amount?
[ [ "Socialist Group", "242", "8", "250" ], [ "RPR Group", "136", "6", "140" ], [ "UDF Group", "107", "6", "113" ], [ "Communist Group", "34", "2", "36" ], [ "Radical, Citizen and Green", "33", "0", "33" ], [ "Non-Inscrits", "5", "0", "5" ], [ "Total:", "555", "22", "577" ] ]
[ "UDF Group" ]
and which other group has that amount? || how many does rpr group have? | what were their caucusing numbers? | what are all of the groups?
nt-10278
col : group | members | caucusing | total row 1 : socialist group | 242 | 8 | 250 row 2 : rpr group | 136 | 6 | 140 row 3 : udf group | 107 | 6 | 113 row 4 : communist group | 34 | 2 | 36 row 5 : radical, citizen and green | 33 | 0 | 33 row 6 : non-inscrits | 5 | 0 | 5 row 7 : total: | 555 | 22 | 577
table_csv/203_266.csv
0
{ "column_index": [ 0, 0, 0 ], "row_index": [ 0, 1, 2 ] }
[ "which groups have more than 100 members?" ]
1
socialist group, rpr group, udf group
[ "Group", "Members", "Caucusing", "Total" ]
which groups have more than 100 members?
[ [ "Socialist Group", "242", "8", "250" ], [ "RPR Group", "136", "6", "140" ], [ "UDF Group", "107", "6", "113" ], [ "Communist Group", "34", "2", "36" ], [ "Radical, Citizen and Green", "33", "0", "33" ], [ "Non-Inscrits", "5", "0", "5" ], [ "Total:", "555", "22", "577" ] ]
[ "Socialist Group", "RPR Group", "UDF Group" ]
which groups have more than 100 members? ||
nt-10278
col : group | members | caucusing | total row 1 : socialist group | 242 | 8 | 250 row 2 : rpr group | 136 | 6 | 140 row 3 : udf group | 107 | 6 | 113 row 4 : communist group | 34 | 2 | 36 row 5 : radical, citizen and green | 33 | 0 | 33 row 6 : non-inscrits | 5 | 0 | 5 row 7 : total: | 555 | 22 | 577
table_csv/203_266.csv
1
{ "column_index": [ 0, 0 ], "row_index": [ 1, 2 ] }
[ "which groups have more than 100 members?", "of these groups, which have six caucusing?" ]
1
rpr group, udf group
[ "Group", "Members", "Caucusing", "Total" ]
of these groups, which have six caucusing?
[ [ "Socialist Group", "242", "8", "250" ], [ "RPR Group", "136", "6", "140" ], [ "UDF Group", "107", "6", "113" ], [ "Communist Group", "34", "2", "36" ], [ "Radical, Citizen and Green", "33", "0", "33" ], [ "Non-Inscrits", "5", "0", "5" ], [ "Total:", "555", "22", "577" ] ]
[ "RPR Group", "UDF Group" ]
of these groups, which have six caucusing? || which groups have more than 100 members?
nt-10278
col : group | members | caucusing | total row 1 : socialist group | 242 | 8 | 250 row 2 : rpr group | 136 | 6 | 140 row 3 : udf group | 107 | 6 | 113 row 4 : communist group | 34 | 2 | 36 row 5 : radical, citizen and green | 33 | 0 | 33 row 6 : non-inscrits | 5 | 0 | 5 row 7 : total: | 555 | 22 | 577
table_csv/203_266.csv
2
{ "column_index": [ 0 ], "row_index": [ 2 ] }
[ "which groups have more than 100 members?", "of these groups, which have six caucusing?", "of the remaining two, which one has a total of 113?" ]
1
udf group
[ "Group", "Members", "Caucusing", "Total" ]
of the remaining two, which one has a total of 113?
[ [ "Socialist Group", "242", "8", "250" ], [ "RPR Group", "136", "6", "140" ], [ "UDF Group", "107", "6", "113" ], [ "Communist Group", "34", "2", "36" ], [ "Radical, Citizen and Green", "33", "0", "33" ], [ "Non-Inscrits", "5", "0", "5" ], [ "Total:", "555", "22", "577" ] ]
[ "UDF Group" ]
of the remaining two, which one has a total of 113? || of these groups, which have six caucusing? | which groups have more than 100 members?
nt-10278
col : group | members | caucusing | total row 1 : socialist group | 242 | 8 | 250 row 2 : rpr group | 136 | 6 | 140 row 3 : udf group | 107 | 6 | 113 row 4 : communist group | 34 | 2 | 36 row 5 : radical, citizen and green | 33 | 0 | 33 row 6 : non-inscrits | 5 | 0 | 5 row 7 : total: | 555 | 22 | 577
table_csv/203_266.csv
0
{ "column_index": [ 0, 0, 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 3, 4, 5 ] }
[ "what are all the groups?" ]
2
socialist group, rpr group, udf group, communist group, radical, citizen and green, non-inscrits
[ "Group", "Members", "Caucusing", "Total" ]
what are all the groups?
[ [ "Socialist Group", "242", "8", "250" ], [ "RPR Group", "136", "6", "140" ], [ "UDF Group", "107", "6", "113" ], [ "Communist Group", "34", "2", "36" ], [ "Radical, Citizen and Green", "33", "0", "33" ], [ "Non-Inscrits", "5", "0", "5" ], [ "Total:", "555", "22", "577" ] ]
[ "Socialist Group", "RPR Group", "UDF Group", "Communist Group", "Radical, Citizen and Green", "Non-Inscrits" ]
what are all the groups? ||
nt-10278
col : group | members | caucusing | total row 1 : socialist group | 242 | 8 | 250 row 2 : rpr group | 136 | 6 | 140 row 3 : udf group | 107 | 6 | 113 row 4 : communist group | 34 | 2 | 36 row 5 : radical, citizen and green | 33 | 0 | 33 row 6 : non-inscrits | 5 | 0 | 5 row 7 : total: | 555 | 22 | 577
table_csv/203_266.csv
1
{ "column_index": [ 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 3 ] }
[ "what are all the groups?", "which groups have more than zero caucusing members?" ]
2
socialist group, rpr group, udf group, communist group
[ "Group", "Members", "Caucusing", "Total" ]
which groups have more than zero caucusing members?
[ [ "Socialist Group", "242", "8", "250" ], [ "RPR Group", "136", "6", "140" ], [ "UDF Group", "107", "6", "113" ], [ "Communist Group", "34", "2", "36" ], [ "Radical, Citizen and Green", "33", "0", "33" ], [ "Non-Inscrits", "5", "0", "5" ], [ "Total:", "555", "22", "577" ] ]
[ "Socialist Group", "RPR Group", "UDF Group", "Communist Group" ]
which groups have more than zero caucusing members? || what are all the groups?
nt-10278
col : group | members | caucusing | total row 1 : socialist group | 242 | 8 | 250 row 2 : rpr group | 136 | 6 | 140 row 3 : udf group | 107 | 6 | 113 row 4 : communist group | 34 | 2 | 36 row 5 : radical, citizen and green | 33 | 0 | 33 row 6 : non-inscrits | 5 | 0 | 5 row 7 : total: | 555 | 22 | 577
table_csv/203_266.csv
2
{ "column_index": [ 0, 0 ], "row_index": [ 1, 2 ] }
[ "what are all the groups?", "which groups have more than zero caucusing members?", "of those groups, which ones have the same number of caucusing members?" ]
2
rpr group, udf group
[ "Group", "Members", "Caucusing", "Total" ]
of those groups, which ones have the same number of caucusing members?
[ [ "Socialist Group", "242", "8", "250" ], [ "RPR Group", "136", "6", "140" ], [ "UDF Group", "107", "6", "113" ], [ "Communist Group", "34", "2", "36" ], [ "Radical, Citizen and Green", "33", "0", "33" ], [ "Non-Inscrits", "5", "0", "5" ], [ "Total:", "555", "22", "577" ] ]
[ "RPR Group", "UDF Group" ]
of those groups, which ones have the same number of caucusing members? || which groups have more than zero caucusing members? | what are all the groups?
nt-10278
col : group | members | caucusing | total row 1 : socialist group | 242 | 8 | 250 row 2 : rpr group | 136 | 6 | 140 row 3 : udf group | 107 | 6 | 113 row 4 : communist group | 34 | 2 | 36 row 5 : radical, citizen and green | 33 | 0 | 33 row 6 : non-inscrits | 5 | 0 | 5 row 7 : total: | 555 | 22 | 577
table_csv/203_266.csv
3
{ "column_index": [ 0 ], "row_index": [ 2 ] }
[ "what are all the groups?", "which groups have more than zero caucusing members?", "of those groups, which ones have the same number of caucusing members?", "which group has the same number of caucusing members as the rpr group?" ]
2
udf group
[ "Group", "Members", "Caucusing", "Total" ]
which group has the same number of caucusing members as the rpr group?
[ [ "Socialist Group", "242", "8", "250" ], [ "RPR Group", "136", "6", "140" ], [ "UDF Group", "107", "6", "113" ], [ "Communist Group", "34", "2", "36" ], [ "Radical, Citizen and Green", "33", "0", "33" ], [ "Non-Inscrits", "5", "0", "5" ], [ "Total:", "555", "22", "577" ] ]
[ "UDF Group" ]
which group has the same number of caucusing members as the rpr group? || of those groups, which ones have the same number of caucusing members? | which groups have more than zero caucusing members? | what are all the groups?
nt-4934
col : city/municipality | no. of barangays | area (km2) | population (2010 census) | pop. density (per km2) row 1 : angono | 10 | 26.22 | 102,407 | 3,905.68 row 2 : antipolo | 16 | 306.1 | 677,741 | 2,214.12 row 3 : baras | 10 | 84.93 | 32,609 | 383.95 row 4 : binangonan | 40 | 66.34 | 249,872 | 3,766.54 row 5 : cainta | 7 | 42.99 | 311,845 | 7,253.90 row 6 : cardona | 18 | 28.56 | 47,414 | 1,660.15 row 7 : jalajala | 11 | 44.12 | 30,074 | 681.64 row 8 : morong | 8 | 37.58 | 52,194 | 1,388.88 row 9 : pililla | 9 | 69.95 | 59,527 | 850.99 row 10 : rodriguez | 11 | 312.7 | 280,904 | 898.32 row 11 : san mateo | 15 | 55.09 | 205,255 | 3,725.81 row 12 : tanay | 19 | 200.0 | 98,879 | 494.3 row 13 : taytay | 5 | 38.8 | 288,956 | 7,447.32 row 14 : teresa | 9 | 18.61 | 47,163 | 2,534.28
table_csv/204_987.csv
0
{ "column_index": [ 0, 1, 2, 3, 4, 0, 1, 2, 3, 4, 0, 1, 2, 3, 4, 0, 1, 2, 3, 4, 0, 1, 2, 3, 4, 0, 1, 2, 3, 4, 0, 1, 2, 3, 4, 0, 1, 2, 3, 4, 0, 1, 2, 3, 4, 0, 1, 2, 3, 4, 0, 1, 2, 3, 4, 0, 1, 2, 3, 4, 0, 1, 2, 3, 4, 0, 1, 2, 3, 4 ], "row_index": [ 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 6, 6, 6, 6, 6, 7, 7, 7, 7, 7, 8, 8, 8, 8, 8, 9, 9, 9, 9, 9, 10, 10, 10, 10, 10, 11, 11, 11, 11, 11, 12, 12, 12, 12, 12, 13, 13, 13, 13, 13 ] }
[ "what are all of the cities?" ]
0
angono, 10, 26.22, 102,407, 3,905.68, antipolo, 16, 306.10, 677,741, 2,214.12, baras, 10, 84.93, 32,609, 383.95, binangonan, 40, 66.34, 249,872, 3,766.54, cainta, 7, 42.99, 311,845, 7,253.90, cardona, 18, 28.56, 47,414, 1,660.15, jalajala, 11, 44.12, 30,074, 681.64, morong, 8, 37.58, 52,194, 1,388.88, pililla, 9, 69.95, 59,527, 850.99, rodriguez, 11, 312.70, 280,904, 898.32, san mateo, 15, 55.09, 205,255, 3,725.81, tanay, 19, 200.00, 98,879, 494.3, taytay, 5, 38.80, 288,956, 7,447.32, teresa, 9, 18.61, 47,163, 2,534.28
[ "City/Municipality", "No. of Barangays", "Area (km2)", "Population (2010 Census)", "Pop. density (per km2)" ]
what are all of the cities?
[ [ "Angono", "10", "26.22", "102,407", "3,905.68" ], [ "Antipolo", "16", "306.1", "677,741", "2,214.12" ], [ "Baras", "10", "84.93", "32,609", "383.95" ], [ "Binangonan", "40", "66.34", "249,872", "3,766.54" ], [ "Cainta", "7", "42.99", "311,845", "7,253.90" ], [ "Cardona", "18", "28.56", "47,414", "1,660.15" ], [ "Jalajala", "11", "44.12", "30,074", "681.64" ], [ "Morong", "8", "37.58", "52,194", "1,388.88" ], [ "Pililla", "9", "69.95", "59,527", "850.99" ], [ "Rodriguez", "11", "312.7", "280,904", "898.32" ], [ "San Mateo", "15", "55.09", "205,255", "3,725.81" ], [ "Tanay", "19", "200.0", "98,879", "494.3" ], [ "Taytay", "5", "38.8", "288,956", "7,447.32" ], [ "Teresa", "9", "18.61", "47,163", "2,534.28" ] ]
[ "Angono", "10", "26.22", "102,407", "3,905.68", "Antipolo", "16", "306.10", "677,741", "2,214.12", "Baras", "10", "84.93", "32,609", "383.95", "Binangonan", "40", "66.34", "249,872", "3,766.54", "Cainta", "7", "42.99", "311,845", "7,253.90", "Cardona", "18", "28.56", "47,414", "1,660.15", "Jalajala", "11", "44.12", "30,074", "681.64", "Morong", "8", "37.58", "52,194", "1,388.88", "Pililla", "9", "69.95", "59,527", "850.99", "Rodriguez", "11", "312.70", "280,904", "898.32", "San Mateo", "15", "55.09", "205,255", "3,725.81", "Tanay", "19", "200.00", "98,879", "494.3", "Taytay", "5", "38.80", "288,956", "7,447.32", "Teresa", "9", "18.61", "47,163", "2,534.28" ]
what are all of the cities? ||
nt-4934
col : city/municipality | no. of barangays | area (km2) | population (2010 census) | pop. density (per km2) row 1 : angono | 10 | 26.22 | 102,407 | 3,905.68 row 2 : antipolo | 16 | 306.1 | 677,741 | 2,214.12 row 3 : baras | 10 | 84.93 | 32,609 | 383.95 row 4 : binangonan | 40 | 66.34 | 249,872 | 3,766.54 row 5 : cainta | 7 | 42.99 | 311,845 | 7,253.90 row 6 : cardona | 18 | 28.56 | 47,414 | 1,660.15 row 7 : jalajala | 11 | 44.12 | 30,074 | 681.64 row 8 : morong | 8 | 37.58 | 52,194 | 1,388.88 row 9 : pililla | 9 | 69.95 | 59,527 | 850.99 row 10 : rodriguez | 11 | 312.7 | 280,904 | 898.32 row 11 : san mateo | 15 | 55.09 | 205,255 | 3,725.81 row 12 : tanay | 19 | 200.0 | 98,879 | 494.3 row 13 : taytay | 5 | 38.8 | 288,956 | 7,447.32 row 14 : teresa | 9 | 18.61 | 47,163 | 2,534.28
table_csv/204_987.csv
1
{ "column_index": [ 0, 1, 2, 3, 4, 0, 1, 2, 3, 4 ], "row_index": [ 6, 6, 6, 6, 6, 9, 9, 9, 9, 9 ] }
[ "what are all of the cities?", "of those, which cities have the same number of barangays as jalajala?" ]
0
jalajala, 11, 44.12, 30,074, 681.64, rodriguez, 11, 312.70, 280,904, 898.32
[ "City/Municipality", "No. of Barangays", "Area (km2)", "Population (2010 Census)", "Pop. density (per km2)" ]
of those, which cities have the same number of barangays as jalajala?
[ [ "Angono", "10", "26.22", "102,407", "3,905.68" ], [ "Antipolo", "16", "306.1", "677,741", "2,214.12" ], [ "Baras", "10", "84.93", "32,609", "383.95" ], [ "Binangonan", "40", "66.34", "249,872", "3,766.54" ], [ "Cainta", "7", "42.99", "311,845", "7,253.90" ], [ "Cardona", "18", "28.56", "47,414", "1,660.15" ], [ "Jalajala", "11", "44.12", "30,074", "681.64" ], [ "Morong", "8", "37.58", "52,194", "1,388.88" ], [ "Pililla", "9", "69.95", "59,527", "850.99" ], [ "Rodriguez", "11", "312.7", "280,904", "898.32" ], [ "San Mateo", "15", "55.09", "205,255", "3,725.81" ], [ "Tanay", "19", "200.0", "98,879", "494.3" ], [ "Taytay", "5", "38.8", "288,956", "7,447.32" ], [ "Teresa", "9", "18.61", "47,163", "2,534.28" ] ]
[ "Jalajala", "11", "44.12", "30,074", "681.64", "Rodriguez", "11", "312.70", "280,904", "898.32" ]
of those, which cities have the same number of barangays as jalajala? || what are all of the cities?
nt-4934
col : city/municipality | no. of barangays | area (km2) | population (2010 census) | pop. density (per km2) row 1 : angono | 10 | 26.22 | 102,407 | 3,905.68 row 2 : antipolo | 16 | 306.1 | 677,741 | 2,214.12 row 3 : baras | 10 | 84.93 | 32,609 | 383.95 row 4 : binangonan | 40 | 66.34 | 249,872 | 3,766.54 row 5 : cainta | 7 | 42.99 | 311,845 | 7,253.90 row 6 : cardona | 18 | 28.56 | 47,414 | 1,660.15 row 7 : jalajala | 11 | 44.12 | 30,074 | 681.64 row 8 : morong | 8 | 37.58 | 52,194 | 1,388.88 row 9 : pililla | 9 | 69.95 | 59,527 | 850.99 row 10 : rodriguez | 11 | 312.7 | 280,904 | 898.32 row 11 : san mateo | 15 | 55.09 | 205,255 | 3,725.81 row 12 : tanay | 19 | 200.0 | 98,879 | 494.3 row 13 : taytay | 5 | 38.8 | 288,956 | 7,447.32 row 14 : teresa | 9 | 18.61 | 47,163 | 2,534.28
table_csv/204_987.csv
2
{ "column_index": [ 0, 1, 2, 3, 4 ], "row_index": [ 9, 9, 9, 9, 9 ] }
[ "what are all of the cities?", "of those, which cities have the same number of barangays as jalajala?", "of those, which city is not jalajala?" ]
0
rodriguez, 11, 312.70, 280,904, 898.32
[ "City/Municipality", "No. of Barangays", "Area (km2)", "Population (2010 Census)", "Pop. density (per km2)" ]
of those, which city is not jalajala?
[ [ "Angono", "10", "26.22", "102,407", "3,905.68" ], [ "Antipolo", "16", "306.1", "677,741", "2,214.12" ], [ "Baras", "10", "84.93", "32,609", "383.95" ], [ "Binangonan", "40", "66.34", "249,872", "3,766.54" ], [ "Cainta", "7", "42.99", "311,845", "7,253.90" ], [ "Cardona", "18", "28.56", "47,414", "1,660.15" ], [ "Jalajala", "11", "44.12", "30,074", "681.64" ], [ "Morong", "8", "37.58", "52,194", "1,388.88" ], [ "Pililla", "9", "69.95", "59,527", "850.99" ], [ "Rodriguez", "11", "312.7", "280,904", "898.32" ], [ "San Mateo", "15", "55.09", "205,255", "3,725.81" ], [ "Tanay", "19", "200.0", "98,879", "494.3" ], [ "Taytay", "5", "38.8", "288,956", "7,447.32" ], [ "Teresa", "9", "18.61", "47,163", "2,534.28" ] ]
[ "Rodriguez", "11", "312.70", "280,904", "898.32" ]
of those, which city is not jalajala? || of those, which cities have the same number of barangays as jalajala? | what are all of the cities?
nt-4934
col : city/municipality | no. of barangays | area (km2) | population (2010 census) | pop. density (per km2) row 1 : angono | 10 | 26.22 | 102,407 | 3,905.68 row 2 : antipolo | 16 | 306.1 | 677,741 | 2,214.12 row 3 : baras | 10 | 84.93 | 32,609 | 383.95 row 4 : binangonan | 40 | 66.34 | 249,872 | 3,766.54 row 5 : cainta | 7 | 42.99 | 311,845 | 7,253.90 row 6 : cardona | 18 | 28.56 | 47,414 | 1,660.15 row 7 : jalajala | 11 | 44.12 | 30,074 | 681.64 row 8 : morong | 8 | 37.58 | 52,194 | 1,388.88 row 9 : pililla | 9 | 69.95 | 59,527 | 850.99 row 10 : rodriguez | 11 | 312.7 | 280,904 | 898.32 row 11 : san mateo | 15 | 55.09 | 205,255 | 3,725.81 row 12 : tanay | 19 | 200.0 | 98,879 | 494.3 row 13 : taytay | 5 | 38.8 | 288,956 | 7,447.32 row 14 : teresa | 9 | 18.61 | 47,163 | 2,534.28
table_csv/204_987.csv
3
{ "column_index": [ 0 ], "row_index": [ 9 ] }
[ "what are all of the cities?", "of those, which cities have the same number of barangays as jalajala?", "of those, which city is not jalajala?", "for that result, what is its name?" ]
0
rodriguez
[ "City/Municipality", "No. of Barangays", "Area (km2)", "Population (2010 Census)", "Pop. density (per km2)" ]
for that result, what is its name?
[ [ "Angono", "10", "26.22", "102,407", "3,905.68" ], [ "Antipolo", "16", "306.1", "677,741", "2,214.12" ], [ "Baras", "10", "84.93", "32,609", "383.95" ], [ "Binangonan", "40", "66.34", "249,872", "3,766.54" ], [ "Cainta", "7", "42.99", "311,845", "7,253.90" ], [ "Cardona", "18", "28.56", "47,414", "1,660.15" ], [ "Jalajala", "11", "44.12", "30,074", "681.64" ], [ "Morong", "8", "37.58", "52,194", "1,388.88" ], [ "Pililla", "9", "69.95", "59,527", "850.99" ], [ "Rodriguez", "11", "312.7", "280,904", "898.32" ], [ "San Mateo", "15", "55.09", "205,255", "3,725.81" ], [ "Tanay", "19", "200.0", "98,879", "494.3" ], [ "Taytay", "5", "38.8", "288,956", "7,447.32" ], [ "Teresa", "9", "18.61", "47,163", "2,534.28" ] ]
[ "Rodriguez" ]
for that result, what is its name? || of those, which city is not jalajala? | of those, which cities have the same number of barangays as jalajala? | what are all of the cities?
nt-4934
col : city/municipality | no. of barangays | area (km2) | population (2010 census) | pop. density (per km2) row 1 : angono | 10 | 26.22 | 102,407 | 3,905.68 row 2 : antipolo | 16 | 306.1 | 677,741 | 2,214.12 row 3 : baras | 10 | 84.93 | 32,609 | 383.95 row 4 : binangonan | 40 | 66.34 | 249,872 | 3,766.54 row 5 : cainta | 7 | 42.99 | 311,845 | 7,253.90 row 6 : cardona | 18 | 28.56 | 47,414 | 1,660.15 row 7 : jalajala | 11 | 44.12 | 30,074 | 681.64 row 8 : morong | 8 | 37.58 | 52,194 | 1,388.88 row 9 : pililla | 9 | 69.95 | 59,527 | 850.99 row 10 : rodriguez | 11 | 312.7 | 280,904 | 898.32 row 11 : san mateo | 15 | 55.09 | 205,255 | 3,725.81 row 12 : tanay | 19 | 200.0 | 98,879 | 494.3 row 13 : taytay | 5 | 38.8 | 288,956 | 7,447.32 row 14 : teresa | 9 | 18.61 | 47,163 | 2,534.28
table_csv/204_987.csv
0
{ "column_index": [ 0, 0, 0, 0, 0, 0, 0 ], "row_index": [ 1, 3, 5, 6, 9, 10, 11 ] }
[ "which cities/municipalities have more then 10 barangays?" ]
1
antipolo, binangonan, cardona, jalajala, rodriguez, san mateo, tanay
[ "City/Municipality", "No. of Barangays", "Area (km2)", "Population (2010 Census)", "Pop. density (per km2)" ]
which cities/municipalities have more then 10 barangays?
[ [ "Angono", "10", "26.22", "102,407", "3,905.68" ], [ "Antipolo", "16", "306.1", "677,741", "2,214.12" ], [ "Baras", "10", "84.93", "32,609", "383.95" ], [ "Binangonan", "40", "66.34", "249,872", "3,766.54" ], [ "Cainta", "7", "42.99", "311,845", "7,253.90" ], [ "Cardona", "18", "28.56", "47,414", "1,660.15" ], [ "Jalajala", "11", "44.12", "30,074", "681.64" ], [ "Morong", "8", "37.58", "52,194", "1,388.88" ], [ "Pililla", "9", "69.95", "59,527", "850.99" ], [ "Rodriguez", "11", "312.7", "280,904", "898.32" ], [ "San Mateo", "15", "55.09", "205,255", "3,725.81" ], [ "Tanay", "19", "200.0", "98,879", "494.3" ], [ "Taytay", "5", "38.8", "288,956", "7,447.32" ], [ "Teresa", "9", "18.61", "47,163", "2,534.28" ] ]
[ "Antipolo", "Binangonan", "Cardona", "Jalajala", "Rodriguez", "San Mateo", "Tanay" ]
which cities/municipalities have more then 10 barangays? ||
nt-4934
col : city/municipality | no. of barangays | area (km2) | population (2010 census) | pop. density (per km2) row 1 : angono | 10 | 26.22 | 102,407 | 3,905.68 row 2 : antipolo | 16 | 306.1 | 677,741 | 2,214.12 row 3 : baras | 10 | 84.93 | 32,609 | 383.95 row 4 : binangonan | 40 | 66.34 | 249,872 | 3,766.54 row 5 : cainta | 7 | 42.99 | 311,845 | 7,253.90 row 6 : cardona | 18 | 28.56 | 47,414 | 1,660.15 row 7 : jalajala | 11 | 44.12 | 30,074 | 681.64 row 8 : morong | 8 | 37.58 | 52,194 | 1,388.88 row 9 : pililla | 9 | 69.95 | 59,527 | 850.99 row 10 : rodriguez | 11 | 312.7 | 280,904 | 898.32 row 11 : san mateo | 15 | 55.09 | 205,255 | 3,725.81 row 12 : tanay | 19 | 200.0 | 98,879 | 494.3 row 13 : taytay | 5 | 38.8 | 288,956 | 7,447.32 row 14 : teresa | 9 | 18.61 | 47,163 | 2,534.28
table_csv/204_987.csv
1
{ "column_index": [ 0, 0, 0 ], "row_index": [ 1, 9, 11 ] }
[ "which cities/municipalities have more then 10 barangays?", "which of those cities are more then 100 km2 in area?" ]
1
antipolo, rodriguez, tanay
[ "City/Municipality", "No. of Barangays", "Area (km2)", "Population (2010 Census)", "Pop. density (per km2)" ]
which of those cities are more then 100 km2 in area?
[ [ "Angono", "10", "26.22", "102,407", "3,905.68" ], [ "Antipolo", "16", "306.1", "677,741", "2,214.12" ], [ "Baras", "10", "84.93", "32,609", "383.95" ], [ "Binangonan", "40", "66.34", "249,872", "3,766.54" ], [ "Cainta", "7", "42.99", "311,845", "7,253.90" ], [ "Cardona", "18", "28.56", "47,414", "1,660.15" ], [ "Jalajala", "11", "44.12", "30,074", "681.64" ], [ "Morong", "8", "37.58", "52,194", "1,388.88" ], [ "Pililla", "9", "69.95", "59,527", "850.99" ], [ "Rodriguez", "11", "312.7", "280,904", "898.32" ], [ "San Mateo", "15", "55.09", "205,255", "3,725.81" ], [ "Tanay", "19", "200.0", "98,879", "494.3" ], [ "Taytay", "5", "38.8", "288,956", "7,447.32" ], [ "Teresa", "9", "18.61", "47,163", "2,534.28" ] ]
[ "Antipolo", "Rodriguez", "Tanay" ]
which of those cities are more then 100 km2 in area? || which cities/municipalities have more then 10 barangays?
nt-4934
col : city/municipality | no. of barangays | area (km2) | population (2010 census) | pop. density (per km2) row 1 : angono | 10 | 26.22 | 102,407 | 3,905.68 row 2 : antipolo | 16 | 306.1 | 677,741 | 2,214.12 row 3 : baras | 10 | 84.93 | 32,609 | 383.95 row 4 : binangonan | 40 | 66.34 | 249,872 | 3,766.54 row 5 : cainta | 7 | 42.99 | 311,845 | 7,253.90 row 6 : cardona | 18 | 28.56 | 47,414 | 1,660.15 row 7 : jalajala | 11 | 44.12 | 30,074 | 681.64 row 8 : morong | 8 | 37.58 | 52,194 | 1,388.88 row 9 : pililla | 9 | 69.95 | 59,527 | 850.99 row 10 : rodriguez | 11 | 312.7 | 280,904 | 898.32 row 11 : san mateo | 15 | 55.09 | 205,255 | 3,725.81 row 12 : tanay | 19 | 200.0 | 98,879 | 494.3 row 13 : taytay | 5 | 38.8 | 288,956 | 7,447.32 row 14 : teresa | 9 | 18.61 | 47,163 | 2,534.28
table_csv/204_987.csv
2
{ "column_index": [ 0, 0 ], "row_index": [ 9, 11 ] }
[ "which cities/municipalities have more then 10 barangays?", "which of those cities are more then 100 km2 in area?", "of these which ones have a population under 500,000?" ]
1
rodriguez, tanay
[ "City/Municipality", "No. of Barangays", "Area (km2)", "Population (2010 Census)", "Pop. density (per km2)" ]
of these which ones have a population under 500,000?
[ [ "Angono", "10", "26.22", "102,407", "3,905.68" ], [ "Antipolo", "16", "306.1", "677,741", "2,214.12" ], [ "Baras", "10", "84.93", "32,609", "383.95" ], [ "Binangonan", "40", "66.34", "249,872", "3,766.54" ], [ "Cainta", "7", "42.99", "311,845", "7,253.90" ], [ "Cardona", "18", "28.56", "47,414", "1,660.15" ], [ "Jalajala", "11", "44.12", "30,074", "681.64" ], [ "Morong", "8", "37.58", "52,194", "1,388.88" ], [ "Pililla", "9", "69.95", "59,527", "850.99" ], [ "Rodriguez", "11", "312.7", "280,904", "898.32" ], [ "San Mateo", "15", "55.09", "205,255", "3,725.81" ], [ "Tanay", "19", "200.0", "98,879", "494.3" ], [ "Taytay", "5", "38.8", "288,956", "7,447.32" ], [ "Teresa", "9", "18.61", "47,163", "2,534.28" ] ]
[ "Rodriguez", "Tanay" ]
of these which ones have a population under 500,000? || which of those cities are more then 100 km2 in area? | which cities/municipalities have more then 10 barangays?
nt-4934
col : city/municipality | no. of barangays | area (km2) | population (2010 census) | pop. density (per km2) row 1 : angono | 10 | 26.22 | 102,407 | 3,905.68 row 2 : antipolo | 16 | 306.1 | 677,741 | 2,214.12 row 3 : baras | 10 | 84.93 | 32,609 | 383.95 row 4 : binangonan | 40 | 66.34 | 249,872 | 3,766.54 row 5 : cainta | 7 | 42.99 | 311,845 | 7,253.90 row 6 : cardona | 18 | 28.56 | 47,414 | 1,660.15 row 7 : jalajala | 11 | 44.12 | 30,074 | 681.64 row 8 : morong | 8 | 37.58 | 52,194 | 1,388.88 row 9 : pililla | 9 | 69.95 | 59,527 | 850.99 row 10 : rodriguez | 11 | 312.7 | 280,904 | 898.32 row 11 : san mateo | 15 | 55.09 | 205,255 | 3,725.81 row 12 : tanay | 19 | 200.0 | 98,879 | 494.3 row 13 : taytay | 5 | 38.8 | 288,956 | 7,447.32 row 14 : teresa | 9 | 18.61 | 47,163 | 2,534.28
table_csv/204_987.csv
3
{ "column_index": [ 0 ], "row_index": [ 9 ] }
[ "which cities/municipalities have more then 10 barangays?", "which of those cities are more then 100 km2 in area?", "of these which ones have a population under 500,000?", "which of these cities has the highest population density?" ]
1
rodriguez
[ "City/Municipality", "No. of Barangays", "Area (km2)", "Population (2010 Census)", "Pop. density (per km2)" ]
which of these cities has the highest population density?
[ [ "Angono", "10", "26.22", "102,407", "3,905.68" ], [ "Antipolo", "16", "306.1", "677,741", "2,214.12" ], [ "Baras", "10", "84.93", "32,609", "383.95" ], [ "Binangonan", "40", "66.34", "249,872", "3,766.54" ], [ "Cainta", "7", "42.99", "311,845", "7,253.90" ], [ "Cardona", "18", "28.56", "47,414", "1,660.15" ], [ "Jalajala", "11", "44.12", "30,074", "681.64" ], [ "Morong", "8", "37.58", "52,194", "1,388.88" ], [ "Pililla", "9", "69.95", "59,527", "850.99" ], [ "Rodriguez", "11", "312.7", "280,904", "898.32" ], [ "San Mateo", "15", "55.09", "205,255", "3,725.81" ], [ "Tanay", "19", "200.0", "98,879", "494.3" ], [ "Taytay", "5", "38.8", "288,956", "7,447.32" ], [ "Teresa", "9", "18.61", "47,163", "2,534.28" ] ]
[ "Rodriguez" ]
which of these cities has the highest population density? || of these which ones have a population under 500,000? | which of those cities are more then 100 km2 in area? | which cities/municipalities have more then 10 barangays?
nt-4934
col : city/municipality | no. of barangays | area (km2) | population (2010 census) | pop. density (per km2) row 1 : angono | 10 | 26.22 | 102,407 | 3,905.68 row 2 : antipolo | 16 | 306.1 | 677,741 | 2,214.12 row 3 : baras | 10 | 84.93 | 32,609 | 383.95 row 4 : binangonan | 40 | 66.34 | 249,872 | 3,766.54 row 5 : cainta | 7 | 42.99 | 311,845 | 7,253.90 row 6 : cardona | 18 | 28.56 | 47,414 | 1,660.15 row 7 : jalajala | 11 | 44.12 | 30,074 | 681.64 row 8 : morong | 8 | 37.58 | 52,194 | 1,388.88 row 9 : pililla | 9 | 69.95 | 59,527 | 850.99 row 10 : rodriguez | 11 | 312.7 | 280,904 | 898.32 row 11 : san mateo | 15 | 55.09 | 205,255 | 3,725.81 row 12 : tanay | 19 | 200.0 | 98,879 | 494.3 row 13 : taytay | 5 | 38.8 | 288,956 | 7,447.32 row 14 : teresa | 9 | 18.61 | 47,163 | 2,534.28
table_csv/204_987.csv
0
{ "column_index": [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13 ] }
[ "what are all of the cities in rizal?" ]
2
angono, antipolo, baras, binangonan, cainta, cardona, jalajala, morong, pililla, rodriguez, san mateo, tanay, taytay, teresa
[ "City/Municipality", "No. of Barangays", "Area (km2)", "Population (2010 Census)", "Pop. density (per km2)" ]
what are all of the cities in rizal?
[ [ "Angono", "10", "26.22", "102,407", "3,905.68" ], [ "Antipolo", "16", "306.1", "677,741", "2,214.12" ], [ "Baras", "10", "84.93", "32,609", "383.95" ], [ "Binangonan", "40", "66.34", "249,872", "3,766.54" ], [ "Cainta", "7", "42.99", "311,845", "7,253.90" ], [ "Cardona", "18", "28.56", "47,414", "1,660.15" ], [ "Jalajala", "11", "44.12", "30,074", "681.64" ], [ "Morong", "8", "37.58", "52,194", "1,388.88" ], [ "Pililla", "9", "69.95", "59,527", "850.99" ], [ "Rodriguez", "11", "312.7", "280,904", "898.32" ], [ "San Mateo", "15", "55.09", "205,255", "3,725.81" ], [ "Tanay", "19", "200.0", "98,879", "494.3" ], [ "Taytay", "5", "38.8", "288,956", "7,447.32" ], [ "Teresa", "9", "18.61", "47,163", "2,534.28" ] ]
[ "Angono", "Antipolo", "Baras", "Binangonan", "Cainta", "Cardona", "Jalajala", "Morong", "Pililla", "Rodriguez", "San Mateo", "Tanay", "Taytay", "Teresa" ]
what are all of the cities in rizal? ||
nt-4934
col : city/municipality | no. of barangays | area (km2) | population (2010 census) | pop. density (per km2) row 1 : angono | 10 | 26.22 | 102,407 | 3,905.68 row 2 : antipolo | 16 | 306.1 | 677,741 | 2,214.12 row 3 : baras | 10 | 84.93 | 32,609 | 383.95 row 4 : binangonan | 40 | 66.34 | 249,872 | 3,766.54 row 5 : cainta | 7 | 42.99 | 311,845 | 7,253.90 row 6 : cardona | 18 | 28.56 | 47,414 | 1,660.15 row 7 : jalajala | 11 | 44.12 | 30,074 | 681.64 row 8 : morong | 8 | 37.58 | 52,194 | 1,388.88 row 9 : pililla | 9 | 69.95 | 59,527 | 850.99 row 10 : rodriguez | 11 | 312.7 | 280,904 | 898.32 row 11 : san mateo | 15 | 55.09 | 205,255 | 3,725.81 row 12 : tanay | 19 | 200.0 | 98,879 | 494.3 row 13 : taytay | 5 | 38.8 | 288,956 | 7,447.32 row 14 : teresa | 9 | 18.61 | 47,163 | 2,534.28
table_csv/204_987.csv
1
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13 ] }
[ "what are all of the cities in rizal?", "and how many barangays is each city comprised of?" ]
2
10, 16, 10, 40, 7, 18, 11, 8, 9, 11, 15, 19, 5, 9
[ "City/Municipality", "No. of Barangays", "Area (km2)", "Population (2010 Census)", "Pop. density (per km2)" ]
and how many barangays is each city comprised of?
[ [ "Angono", "10", "26.22", "102,407", "3,905.68" ], [ "Antipolo", "16", "306.1", "677,741", "2,214.12" ], [ "Baras", "10", "84.93", "32,609", "383.95" ], [ "Binangonan", "40", "66.34", "249,872", "3,766.54" ], [ "Cainta", "7", "42.99", "311,845", "7,253.90" ], [ "Cardona", "18", "28.56", "47,414", "1,660.15" ], [ "Jalajala", "11", "44.12", "30,074", "681.64" ], [ "Morong", "8", "37.58", "52,194", "1,388.88" ], [ "Pililla", "9", "69.95", "59,527", "850.99" ], [ "Rodriguez", "11", "312.7", "280,904", "898.32" ], [ "San Mateo", "15", "55.09", "205,255", "3,725.81" ], [ "Tanay", "19", "200.0", "98,879", "494.3" ], [ "Taytay", "5", "38.8", "288,956", "7,447.32" ], [ "Teresa", "9", "18.61", "47,163", "2,534.28" ] ]
[ "10", "16", "10", "40", "7", "18", "11", "8", "9", "11", "15", "19", "5", "9" ]
and how many barangays is each city comprised of? || what are all of the cities in rizal?
nt-4934
col : city/municipality | no. of barangays | area (km2) | population (2010 census) | pop. density (per km2) row 1 : angono | 10 | 26.22 | 102,407 | 3,905.68 row 2 : antipolo | 16 | 306.1 | 677,741 | 2,214.12 row 3 : baras | 10 | 84.93 | 32,609 | 383.95 row 4 : binangonan | 40 | 66.34 | 249,872 | 3,766.54 row 5 : cainta | 7 | 42.99 | 311,845 | 7,253.90 row 6 : cardona | 18 | 28.56 | 47,414 | 1,660.15 row 7 : jalajala | 11 | 44.12 | 30,074 | 681.64 row 8 : morong | 8 | 37.58 | 52,194 | 1,388.88 row 9 : pililla | 9 | 69.95 | 59,527 | 850.99 row 10 : rodriguez | 11 | 312.7 | 280,904 | 898.32 row 11 : san mateo | 15 | 55.09 | 205,255 | 3,725.81 row 12 : tanay | 19 | 200.0 | 98,879 | 494.3 row 13 : taytay | 5 | 38.8 | 288,956 | 7,447.32 row 14 : teresa | 9 | 18.61 | 47,163 | 2,534.28
table_csv/204_987.csv
2
{ "column_index": [ 0 ], "row_index": [ 9 ] }
[ "what are all of the cities in rizal?", "and how many barangays is each city comprised of?", "along with jalajala, which other city has 11 barangays?" ]
2
rodriguez
[ "City/Municipality", "No. of Barangays", "Area (km2)", "Population (2010 Census)", "Pop. density (per km2)" ]
along with jalajala, which other city has 11 barangays?
[ [ "Angono", "10", "26.22", "102,407", "3,905.68" ], [ "Antipolo", "16", "306.1", "677,741", "2,214.12" ], [ "Baras", "10", "84.93", "32,609", "383.95" ], [ "Binangonan", "40", "66.34", "249,872", "3,766.54" ], [ "Cainta", "7", "42.99", "311,845", "7,253.90" ], [ "Cardona", "18", "28.56", "47,414", "1,660.15" ], [ "Jalajala", "11", "44.12", "30,074", "681.64" ], [ "Morong", "8", "37.58", "52,194", "1,388.88" ], [ "Pililla", "9", "69.95", "59,527", "850.99" ], [ "Rodriguez", "11", "312.7", "280,904", "898.32" ], [ "San Mateo", "15", "55.09", "205,255", "3,725.81" ], [ "Tanay", "19", "200.0", "98,879", "494.3" ], [ "Taytay", "5", "38.8", "288,956", "7,447.32" ], [ "Teresa", "9", "18.61", "47,163", "2,534.28" ] ]
[ "Rodriguez" ]
along with jalajala, which other city has 11 barangays? || and how many barangays is each city comprised of? | what are all of the cities in rizal?
ns-1228
col : # | name | alma mater | birth date | marriage date | president | tenure | tenure.1 row 1 : 1 | jiang qing | shandong provincial experimental theatre | 19 march 1914 | 20 november 1938 | mao zedong | 27 april 1959 | 27 april 1959 row 2 : 2 | wang guangmei | fu jen catholic university | 26 september 1921 | 21 august 1948 | liu shaoqi | 21 october 1968 | 21 october 1968 row 3 : 3 | he lianying | nan | nan | nan | dong biwu | 17 january 1975 | 17 january 1975 row 4 : 4 | lin jiamei | tong de medical college | 1924 | nan | li xiannian | 8 april 1988 | 8 april 1988 row 5 : 5 | wang yeping | shanghai foreign language institute | february 1928 | december 1949 | jiang zemin | 15 march 2003 | 15 march 2003 row 6 : 6 | liu yongqing | tsinghua university | 1940 | february 1970 | hu jintao | 14 march 2013 | 14 march 2013 row 7 : 7 | peng liyuan | china conservatory of music | 20 november 1962 | 1 september 1987 | xi jinping | incumbent | incumbent
table_csv/204_873.csv
0
{ "column_index": [ 7, 7, 7, 7, 7, 7, 7 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6 ] }
[ "what is the ending years for tenure of all the different people's republic of china president's include currently serving?" ]
0
27 april 1959, 21 october 1968, 17 january 1975, 8 april 1988, 15 march 2003, 14 march 2013, incumbent
[ "#", "Name", "Alma mater", "Birth date", "Marriage date", "President", "Tenure", "Tenure.1" ]
what is the ending years for tenure of all the different people's republic of china president's include currently serving?
[ [ "1", "Jiang Qing", "Shandong Provincial Experimental Theatre", "19 March 1914", "20 November 1938", "Mao Zedong", "27 April 1959", "27 April 1959" ], [ "2", "Wang Guangmei", "Fu Jen Catholic University", "26 September 1921", "21 August 1948", "Liu Shaoqi", "21 October 1968", "21 October 1968" ], [ "3", "He Lianying", "nan", "nan", "nan", "Dong Biwu", "17 January 1975", "17 January 1975" ], [ "4", "Lin Jiamei", "Tong De Medical College", "1924", "nan", "Li Xiannian", "8 April 1988", "8 April 1988" ], [ "5", "Wang Yeping", "Shanghai Foreign Language Institute", "February 1928", "December 1949", "Jiang Zemin", "15 March 2003", "15 March 2003" ], [ "6", "Liu Yongqing", "Tsinghua University", "1940", "February 1970", "Hu Jintao", "14 March 2013", "14 March 2013" ], [ "7", "Peng Liyuan", "China Conservatory of Music", "20 November 1962", "1 September 1987", "Xi Jinping", "Incumbent", "Incumbent" ] ]
[ "27 April 1959", "21 October 1968", "17 January 1975", "8 April 1988", "15 March 2003", "14 March 2013", "Incumbent" ]
what is the ending years for tenure of all the different people's republic of china president's include currently serving? ||
ns-1228
col : # | name | alma mater | birth date | marriage date | president | tenure | tenure.1 row 1 : 1 | jiang qing | shandong provincial experimental theatre | 19 march 1914 | 20 november 1938 | mao zedong | 27 april 1959 | 27 april 1959 row 2 : 2 | wang guangmei | fu jen catholic university | 26 september 1921 | 21 august 1948 | liu shaoqi | 21 october 1968 | 21 october 1968 row 3 : 3 | he lianying | nan | nan | nan | dong biwu | 17 january 1975 | 17 january 1975 row 4 : 4 | lin jiamei | tong de medical college | 1924 | nan | li xiannian | 8 april 1988 | 8 april 1988 row 5 : 5 | wang yeping | shanghai foreign language institute | february 1928 | december 1949 | jiang zemin | 15 march 2003 | 15 march 2003 row 6 : 6 | liu yongqing | tsinghua university | 1940 | february 1970 | hu jintao | 14 march 2013 | 14 march 2013 row 7 : 7 | peng liyuan | china conservatory of music | 20 november 1962 | 1 september 1987 | xi jinping | incumbent | incumbent
table_csv/204_873.csv
1
{ "column_index": [ 7 ], "row_index": [ 6 ] }
[ "what is the ending years for tenure of all the different people's republic of china president's include currently serving?", "which year is most recent or currently serving?" ]
0
incumbent
[ "#", "Name", "Alma mater", "Birth date", "Marriage date", "President", "Tenure", "Tenure.1" ]
which year is most recent or currently serving?
[ [ "1", "Jiang Qing", "Shandong Provincial Experimental Theatre", "19 March 1914", "20 November 1938", "Mao Zedong", "27 April 1959", "27 April 1959" ], [ "2", "Wang Guangmei", "Fu Jen Catholic University", "26 September 1921", "21 August 1948", "Liu Shaoqi", "21 October 1968", "21 October 1968" ], [ "3", "He Lianying", "nan", "nan", "nan", "Dong Biwu", "17 January 1975", "17 January 1975" ], [ "4", "Lin Jiamei", "Tong De Medical College", "1924", "nan", "Li Xiannian", "8 April 1988", "8 April 1988" ], [ "5", "Wang Yeping", "Shanghai Foreign Language Institute", "February 1928", "December 1949", "Jiang Zemin", "15 March 2003", "15 March 2003" ], [ "6", "Liu Yongqing", "Tsinghua University", "1940", "February 1970", "Hu Jintao", "14 March 2013", "14 March 2013" ], [ "7", "Peng Liyuan", "China Conservatory of Music", "20 November 1962", "1 September 1987", "Xi Jinping", "Incumbent", "Incumbent" ] ]
[ "Incumbent" ]
which year is most recent or currently serving? || what is the ending years for tenure of all the different people's republic of china president's include currently serving?
ns-1228
col : # | name | alma mater | birth date | marriage date | president | tenure | tenure.1 row 1 : 1 | jiang qing | shandong provincial experimental theatre | 19 march 1914 | 20 november 1938 | mao zedong | 27 april 1959 | 27 april 1959 row 2 : 2 | wang guangmei | fu jen catholic university | 26 september 1921 | 21 august 1948 | liu shaoqi | 21 october 1968 | 21 october 1968 row 3 : 3 | he lianying | nan | nan | nan | dong biwu | 17 january 1975 | 17 january 1975 row 4 : 4 | lin jiamei | tong de medical college | 1924 | nan | li xiannian | 8 april 1988 | 8 april 1988 row 5 : 5 | wang yeping | shanghai foreign language institute | february 1928 | december 1949 | jiang zemin | 15 march 2003 | 15 march 2003 row 6 : 6 | liu yongqing | tsinghua university | 1940 | february 1970 | hu jintao | 14 march 2013 | 14 march 2013 row 7 : 7 | peng liyuan | china conservatory of music | 20 november 1962 | 1 september 1987 | xi jinping | incumbent | incumbent
table_csv/204_873.csv
2
{ "column_index": [ 5 ], "row_index": [ 6 ] }
[ "what is the ending years for tenure of all the different people's republic of china president's include currently serving?", "which year is most recent or currently serving?", "who is the president associated?" ]
0
xi jinping
[ "#", "Name", "Alma mater", "Birth date", "Marriage date", "President", "Tenure", "Tenure.1" ]
who is the president associated?
[ [ "1", "Jiang Qing", "Shandong Provincial Experimental Theatre", "19 March 1914", "20 November 1938", "Mao Zedong", "27 April 1959", "27 April 1959" ], [ "2", "Wang Guangmei", "Fu Jen Catholic University", "26 September 1921", "21 August 1948", "Liu Shaoqi", "21 October 1968", "21 October 1968" ], [ "3", "He Lianying", "nan", "nan", "nan", "Dong Biwu", "17 January 1975", "17 January 1975" ], [ "4", "Lin Jiamei", "Tong De Medical College", "1924", "nan", "Li Xiannian", "8 April 1988", "8 April 1988" ], [ "5", "Wang Yeping", "Shanghai Foreign Language Institute", "February 1928", "December 1949", "Jiang Zemin", "15 March 2003", "15 March 2003" ], [ "6", "Liu Yongqing", "Tsinghua University", "1940", "February 1970", "Hu Jintao", "14 March 2013", "14 March 2013" ], [ "7", "Peng Liyuan", "China Conservatory of Music", "20 November 1962", "1 September 1987", "Xi Jinping", "Incumbent", "Incumbent" ] ]
[ "Xi Jinping" ]
who is the president associated? || which year is most recent or currently serving? | what is the ending years for tenure of all the different people's republic of china president's include currently serving?
ns-1228
col : # | name | alma mater | birth date | marriage date | president | tenure | tenure.1 row 1 : 1 | jiang qing | shandong provincial experimental theatre | 19 march 1914 | 20 november 1938 | mao zedong | 27 april 1959 | 27 april 1959 row 2 : 2 | wang guangmei | fu jen catholic university | 26 september 1921 | 21 august 1948 | liu shaoqi | 21 october 1968 | 21 october 1968 row 3 : 3 | he lianying | nan | nan | nan | dong biwu | 17 january 1975 | 17 january 1975 row 4 : 4 | lin jiamei | tong de medical college | 1924 | nan | li xiannian | 8 april 1988 | 8 april 1988 row 5 : 5 | wang yeping | shanghai foreign language institute | february 1928 | december 1949 | jiang zemin | 15 march 2003 | 15 march 2003 row 6 : 6 | liu yongqing | tsinghua university | 1940 | february 1970 | hu jintao | 14 march 2013 | 14 march 2013 row 7 : 7 | peng liyuan | china conservatory of music | 20 november 1962 | 1 september 1987 | xi jinping | incumbent | incumbent
table_csv/204_873.csv
3
{ "column_index": [ 1 ], "row_index": [ 6 ] }
[ "what is the ending years for tenure of all the different people's republic of china president's include currently serving?", "which year is most recent or currently serving?", "who is the president associated?", "who was this president's wife?" ]
0
peng liyuan
[ "#", "Name", "Alma mater", "Birth date", "Marriage date", "President", "Tenure", "Tenure.1" ]
who was this president's wife?
[ [ "1", "Jiang Qing", "Shandong Provincial Experimental Theatre", "19 March 1914", "20 November 1938", "Mao Zedong", "27 April 1959", "27 April 1959" ], [ "2", "Wang Guangmei", "Fu Jen Catholic University", "26 September 1921", "21 August 1948", "Liu Shaoqi", "21 October 1968", "21 October 1968" ], [ "3", "He Lianying", "nan", "nan", "nan", "Dong Biwu", "17 January 1975", "17 January 1975" ], [ "4", "Lin Jiamei", "Tong De Medical College", "1924", "nan", "Li Xiannian", "8 April 1988", "8 April 1988" ], [ "5", "Wang Yeping", "Shanghai Foreign Language Institute", "February 1928", "December 1949", "Jiang Zemin", "15 March 2003", "15 March 2003" ], [ "6", "Liu Yongqing", "Tsinghua University", "1940", "February 1970", "Hu Jintao", "14 March 2013", "14 March 2013" ], [ "7", "Peng Liyuan", "China Conservatory of Music", "20 November 1962", "1 September 1987", "Xi Jinping", "Incumbent", "Incumbent" ] ]
[ "Peng Liyuan" ]
who was this president's wife? || who is the president associated? | which year is most recent or currently serving? | what is the ending years for tenure of all the different people's republic of china president's include currently serving?
ns-1228
col : # | name | alma mater | birth date | marriage date | president | tenure | tenure.1 row 1 : 1 | jiang qing | shandong provincial experimental theatre | 19 march 1914 | 20 november 1938 | mao zedong | 27 april 1959 | 27 april 1959 row 2 : 2 | wang guangmei | fu jen catholic university | 26 september 1921 | 21 august 1948 | liu shaoqi | 21 october 1968 | 21 october 1968 row 3 : 3 | he lianying | nan | nan | nan | dong biwu | 17 january 1975 | 17 january 1975 row 4 : 4 | lin jiamei | tong de medical college | 1924 | nan | li xiannian | 8 april 1988 | 8 april 1988 row 5 : 5 | wang yeping | shanghai foreign language institute | february 1928 | december 1949 | jiang zemin | 15 march 2003 | 15 march 2003 row 6 : 6 | liu yongqing | tsinghua university | 1940 | february 1970 | hu jintao | 14 march 2013 | 14 march 2013 row 7 : 7 | peng liyuan | china conservatory of music | 20 november 1962 | 1 september 1987 | xi jinping | incumbent | incumbent
table_csv/204_873.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6 ] }
[ "who are all the spouses in the list?" ]
1
jiang qing, wang guangmei, he lianying, lin jiamei, wang yeping, liu yongqing, peng liyuan
[ "#", "Name", "Alma mater", "Birth date", "Marriage date", "President", "Tenure", "Tenure.1" ]
who are all the spouses in the list?
[ [ "1", "Jiang Qing", "Shandong Provincial Experimental Theatre", "19 March 1914", "20 November 1938", "Mao Zedong", "27 April 1959", "27 April 1959" ], [ "2", "Wang Guangmei", "Fu Jen Catholic University", "26 September 1921", "21 August 1948", "Liu Shaoqi", "21 October 1968", "21 October 1968" ], [ "3", "He Lianying", "nan", "nan", "nan", "Dong Biwu", "17 January 1975", "17 January 1975" ], [ "4", "Lin Jiamei", "Tong De Medical College", "1924", "nan", "Li Xiannian", "8 April 1988", "8 April 1988" ], [ "5", "Wang Yeping", "Shanghai Foreign Language Institute", "February 1928", "December 1949", "Jiang Zemin", "15 March 2003", "15 March 2003" ], [ "6", "Liu Yongqing", "Tsinghua University", "1940", "February 1970", "Hu Jintao", "14 March 2013", "14 March 2013" ], [ "7", "Peng Liyuan", "China Conservatory of Music", "20 November 1962", "1 September 1987", "Xi Jinping", "Incumbent", "Incumbent" ] ]
[ "Jiang Qing", "Wang Guangmei", "He Lianying", "Lin Jiamei", "Wang Yeping", "Liu Yongqing", "Peng Liyuan" ]
who are all the spouses in the list? ||
ns-1228
col : # | name | alma mater | birth date | marriage date | president | tenure | tenure.1 row 1 : 1 | jiang qing | shandong provincial experimental theatre | 19 march 1914 | 20 november 1938 | mao zedong | 27 april 1959 | 27 april 1959 row 2 : 2 | wang guangmei | fu jen catholic university | 26 september 1921 | 21 august 1948 | liu shaoqi | 21 october 1968 | 21 october 1968 row 3 : 3 | he lianying | nan | nan | nan | dong biwu | 17 january 1975 | 17 january 1975 row 4 : 4 | lin jiamei | tong de medical college | 1924 | nan | li xiannian | 8 april 1988 | 8 april 1988 row 5 : 5 | wang yeping | shanghai foreign language institute | february 1928 | december 1949 | jiang zemin | 15 march 2003 | 15 march 2003 row 6 : 6 | liu yongqing | tsinghua university | 1940 | february 1970 | hu jintao | 14 march 2013 | 14 march 2013 row 7 : 7 | peng liyuan | china conservatory of music | 20 november 1962 | 1 september 1987 | xi jinping | incumbent | incumbent
table_csv/204_873.csv
1
{ "column_index": [ 6, 6, 6, 6, 6, 6, 6 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6 ] }
[ "who are all the spouses in the list?", "when did they take office?" ]
1
27 april 1959, 21 october 1968, 17 january 1975, 8 april 1988, 15 march 2003, 14 march 2013, incumbent
[ "#", "Name", "Alma mater", "Birth date", "Marriage date", "President", "Tenure", "Tenure.1" ]
when did they take office?
[ [ "1", "Jiang Qing", "Shandong Provincial Experimental Theatre", "19 March 1914", "20 November 1938", "Mao Zedong", "27 April 1959", "27 April 1959" ], [ "2", "Wang Guangmei", "Fu Jen Catholic University", "26 September 1921", "21 August 1948", "Liu Shaoqi", "21 October 1968", "21 October 1968" ], [ "3", "He Lianying", "nan", "nan", "nan", "Dong Biwu", "17 January 1975", "17 January 1975" ], [ "4", "Lin Jiamei", "Tong De Medical College", "1924", "nan", "Li Xiannian", "8 April 1988", "8 April 1988" ], [ "5", "Wang Yeping", "Shanghai Foreign Language Institute", "February 1928", "December 1949", "Jiang Zemin", "15 March 2003", "15 March 2003" ], [ "6", "Liu Yongqing", "Tsinghua University", "1940", "February 1970", "Hu Jintao", "14 March 2013", "14 March 2013" ], [ "7", "Peng Liyuan", "China Conservatory of Music", "20 November 1962", "1 September 1987", "Xi Jinping", "Incumbent", "Incumbent" ] ]
[ "27 April 1959", "21 October 1968", "17 January 1975", "8 April 1988", "15 March 2003", "14 March 2013", "Incumbent" ]
when did they take office? || who are all the spouses in the list?
ns-1228
col : # | name | alma mater | birth date | marriage date | president | tenure | tenure.1 row 1 : 1 | jiang qing | shandong provincial experimental theatre | 19 march 1914 | 20 november 1938 | mao zedong | 27 april 1959 | 27 april 1959 row 2 : 2 | wang guangmei | fu jen catholic university | 26 september 1921 | 21 august 1948 | liu shaoqi | 21 october 1968 | 21 october 1968 row 3 : 3 | he lianying | nan | nan | nan | dong biwu | 17 january 1975 | 17 january 1975 row 4 : 4 | lin jiamei | tong de medical college | 1924 | nan | li xiannian | 8 april 1988 | 8 april 1988 row 5 : 5 | wang yeping | shanghai foreign language institute | february 1928 | december 1949 | jiang zemin | 15 march 2003 | 15 march 2003 row 6 : 6 | liu yongqing | tsinghua university | 1940 | february 1970 | hu jintao | 14 march 2013 | 14 march 2013 row 7 : 7 | peng liyuan | china conservatory of music | 20 november 1962 | 1 september 1987 | xi jinping | incumbent | incumbent
table_csv/204_873.csv
2
{ "column_index": [ 1 ], "row_index": [ 6 ] }
[ "who are all the spouses in the list?", "when did they take office?", "and which spouse most recently took office?" ]
1
peng liyuan
[ "#", "Name", "Alma mater", "Birth date", "Marriage date", "President", "Tenure", "Tenure.1" ]
and which spouse most recently took office?
[ [ "1", "Jiang Qing", "Shandong Provincial Experimental Theatre", "19 March 1914", "20 November 1938", "Mao Zedong", "27 April 1959", "27 April 1959" ], [ "2", "Wang Guangmei", "Fu Jen Catholic University", "26 September 1921", "21 August 1948", "Liu Shaoqi", "21 October 1968", "21 October 1968" ], [ "3", "He Lianying", "nan", "nan", "nan", "Dong Biwu", "17 January 1975", "17 January 1975" ], [ "4", "Lin Jiamei", "Tong De Medical College", "1924", "nan", "Li Xiannian", "8 April 1988", "8 April 1988" ], [ "5", "Wang Yeping", "Shanghai Foreign Language Institute", "February 1928", "December 1949", "Jiang Zemin", "15 March 2003", "15 March 2003" ], [ "6", "Liu Yongqing", "Tsinghua University", "1940", "February 1970", "Hu Jintao", "14 March 2013", "14 March 2013" ], [ "7", "Peng Liyuan", "China Conservatory of Music", "20 November 1962", "1 September 1987", "Xi Jinping", "Incumbent", "Incumbent" ] ]
[ "Peng Liyuan" ]
and which spouse most recently took office? || when did they take office? | who are all the spouses in the list?
ns-1228
col : # | name | alma mater | birth date | marriage date | president | tenure | tenure.1 row 1 : 1 | jiang qing | shandong provincial experimental theatre | 19 march 1914 | 20 november 1938 | mao zedong | 27 april 1959 | 27 april 1959 row 2 : 2 | wang guangmei | fu jen catholic university | 26 september 1921 | 21 august 1948 | liu shaoqi | 21 october 1968 | 21 october 1968 row 3 : 3 | he lianying | nan | nan | nan | dong biwu | 17 january 1975 | 17 january 1975 row 4 : 4 | lin jiamei | tong de medical college | 1924 | nan | li xiannian | 8 april 1988 | 8 april 1988 row 5 : 5 | wang yeping | shanghai foreign language institute | february 1928 | december 1949 | jiang zemin | 15 march 2003 | 15 march 2003 row 6 : 6 | liu yongqing | tsinghua university | 1940 | february 1970 | hu jintao | 14 march 2013 | 14 march 2013 row 7 : 7 | peng liyuan | china conservatory of music | 20 november 1962 | 1 september 1987 | xi jinping | incumbent | incumbent
table_csv/204_873.csv
0
{ "column_index": [ 5, 5, 5, 5, 5, 5, 5 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6 ] }
[ "who were the president of the people's republic of china?" ]
2
mao zedong, liu shaoqi, dong biwu, li xiannian, jiang zemin, hu jintao, xi jinping
[ "#", "Name", "Alma mater", "Birth date", "Marriage date", "President", "Tenure", "Tenure.1" ]
who were the president of the people's republic of china?
[ [ "1", "Jiang Qing", "Shandong Provincial Experimental Theatre", "19 March 1914", "20 November 1938", "Mao Zedong", "27 April 1959", "27 April 1959" ], [ "2", "Wang Guangmei", "Fu Jen Catholic University", "26 September 1921", "21 August 1948", "Liu Shaoqi", "21 October 1968", "21 October 1968" ], [ "3", "He Lianying", "nan", "nan", "nan", "Dong Biwu", "17 January 1975", "17 January 1975" ], [ "4", "Lin Jiamei", "Tong De Medical College", "1924", "nan", "Li Xiannian", "8 April 1988", "8 April 1988" ], [ "5", "Wang Yeping", "Shanghai Foreign Language Institute", "February 1928", "December 1949", "Jiang Zemin", "15 March 2003", "15 March 2003" ], [ "6", "Liu Yongqing", "Tsinghua University", "1940", "February 1970", "Hu Jintao", "14 March 2013", "14 March 2013" ], [ "7", "Peng Liyuan", "China Conservatory of Music", "20 November 1962", "1 September 1987", "Xi Jinping", "Incumbent", "Incumbent" ] ]
[ "Mao Zedong", "Liu Shaoqi", "Dong Biwu", "Li Xiannian", "Jiang Zemin", "Hu Jintao", "Xi Jinping" ]
who were the president of the people's republic of china? ||
ns-1228
col : # | name | alma mater | birth date | marriage date | president | tenure | tenure.1 row 1 : 1 | jiang qing | shandong provincial experimental theatre | 19 march 1914 | 20 november 1938 | mao zedong | 27 april 1959 | 27 april 1959 row 2 : 2 | wang guangmei | fu jen catholic university | 26 september 1921 | 21 august 1948 | liu shaoqi | 21 october 1968 | 21 october 1968 row 3 : 3 | he lianying | nan | nan | nan | dong biwu | 17 january 1975 | 17 january 1975 row 4 : 4 | lin jiamei | tong de medical college | 1924 | nan | li xiannian | 8 april 1988 | 8 april 1988 row 5 : 5 | wang yeping | shanghai foreign language institute | february 1928 | december 1949 | jiang zemin | 15 march 2003 | 15 march 2003 row 6 : 6 | liu yongqing | tsinghua university | 1940 | february 1970 | hu jintao | 14 march 2013 | 14 march 2013 row 7 : 7 | peng liyuan | china conservatory of music | 20 november 1962 | 1 september 1987 | xi jinping | incumbent | incumbent
table_csv/204_873.csv
1
{ "column_index": [ 5 ], "row_index": [ 6 ] }
[ "who were the president of the people's republic of china?", "who was the latest president?" ]
2
xi jinping
[ "#", "Name", "Alma mater", "Birth date", "Marriage date", "President", "Tenure", "Tenure.1" ]
who was the latest president?
[ [ "1", "Jiang Qing", "Shandong Provincial Experimental Theatre", "19 March 1914", "20 November 1938", "Mao Zedong", "27 April 1959", "27 April 1959" ], [ "2", "Wang Guangmei", "Fu Jen Catholic University", "26 September 1921", "21 August 1948", "Liu Shaoqi", "21 October 1968", "21 October 1968" ], [ "3", "He Lianying", "nan", "nan", "nan", "Dong Biwu", "17 January 1975", "17 January 1975" ], [ "4", "Lin Jiamei", "Tong De Medical College", "1924", "nan", "Li Xiannian", "8 April 1988", "8 April 1988" ], [ "5", "Wang Yeping", "Shanghai Foreign Language Institute", "February 1928", "December 1949", "Jiang Zemin", "15 March 2003", "15 March 2003" ], [ "6", "Liu Yongqing", "Tsinghua University", "1940", "February 1970", "Hu Jintao", "14 March 2013", "14 March 2013" ], [ "7", "Peng Liyuan", "China Conservatory of Music", "20 November 1962", "1 September 1987", "Xi Jinping", "Incumbent", "Incumbent" ] ]
[ "Xi Jinping" ]
who was the latest president? || who were the president of the people's republic of china?
ns-1228
col : # | name | alma mater | birth date | marriage date | president | tenure | tenure.1 row 1 : 1 | jiang qing | shandong provincial experimental theatre | 19 march 1914 | 20 november 1938 | mao zedong | 27 april 1959 | 27 april 1959 row 2 : 2 | wang guangmei | fu jen catholic university | 26 september 1921 | 21 august 1948 | liu shaoqi | 21 october 1968 | 21 october 1968 row 3 : 3 | he lianying | nan | nan | nan | dong biwu | 17 january 1975 | 17 january 1975 row 4 : 4 | lin jiamei | tong de medical college | 1924 | nan | li xiannian | 8 april 1988 | 8 april 1988 row 5 : 5 | wang yeping | shanghai foreign language institute | february 1928 | december 1949 | jiang zemin | 15 march 2003 | 15 march 2003 row 6 : 6 | liu yongqing | tsinghua university | 1940 | february 1970 | hu jintao | 14 march 2013 | 14 march 2013 row 7 : 7 | peng liyuan | china conservatory of music | 20 november 1962 | 1 september 1987 | xi jinping | incumbent | incumbent
table_csv/204_873.csv
2
{ "column_index": [ 1 ], "row_index": [ 6 ] }
[ "who were the president of the people's republic of china?", "who was the latest president?", "who is the spouse of that president?" ]
2
peng liyuan
[ "#", "Name", "Alma mater", "Birth date", "Marriage date", "President", "Tenure", "Tenure.1" ]
who is the spouse of that president?
[ [ "1", "Jiang Qing", "Shandong Provincial Experimental Theatre", "19 March 1914", "20 November 1938", "Mao Zedong", "27 April 1959", "27 April 1959" ], [ "2", "Wang Guangmei", "Fu Jen Catholic University", "26 September 1921", "21 August 1948", "Liu Shaoqi", "21 October 1968", "21 October 1968" ], [ "3", "He Lianying", "nan", "nan", "nan", "Dong Biwu", "17 January 1975", "17 January 1975" ], [ "4", "Lin Jiamei", "Tong De Medical College", "1924", "nan", "Li Xiannian", "8 April 1988", "8 April 1988" ], [ "5", "Wang Yeping", "Shanghai Foreign Language Institute", "February 1928", "December 1949", "Jiang Zemin", "15 March 2003", "15 March 2003" ], [ "6", "Liu Yongqing", "Tsinghua University", "1940", "February 1970", "Hu Jintao", "14 March 2013", "14 March 2013" ], [ "7", "Peng Liyuan", "China Conservatory of Music", "20 November 1962", "1 September 1987", "Xi Jinping", "Incumbent", "Incumbent" ] ]
[ "Peng Liyuan" ]
who is the spouse of that president? || who was the latest president? | who were the president of the people's republic of china?
nt-11617
col : network | company | mobile prefixes | mobile examples | landline prefixes | landline examples | notes row 1 : beeline | sotelco ltd. | 031 (+ 7 digits) 060 (+ 6 digits | +855 31 234 5678 +855 60 234 5 | ndc + '46' + 4-5 digits | +855 23 461 2346 +855 64 461 2 | nan row 2 : mobitel | camgsm co., ltd. | 011 (+ 6 digits) 012 (+ 6-7 digit | +855 76 234 5678 +855 12 123 | - | - | also known as cellcard incorporates the former mfone row 3 : cootel | xinwei (cambodia) telecom co. | 038 (+ 7 digits) | +855 38 383 8380 | ndc + '47' + 4-5 digits | +855 23 471 2346 +855 64 471 2 | nan row 4 : excell | gt-tell (cambodia) investment co., ltd | 018 (+ 6 digits) | +855 18 234 567 | - | - | nan row 5 : metfone | viettel (cambodia) pte., ltd | 088 (+ 7 digits) 097 (+ 7 digits | +855 88 234 5678 +855 97 2 | - | - | nan row 6 : qb | cambodia advance communications co., ltd. (cadcomms) | 013 (+ 6 digits) 080 (+ 6 digits | +855 13 234 567 | - | - | nan row 7 : smart | smart axiata co., ltd | 010 (+ 6 digits) 015 (+ 6 digits | +855 96 234 5678 +855 10 234 | ndc + '45' + 4-5 digits | +855 23 451 2346 +855 64 451 2 | incorporates the former hello axiata
table_csv/203_202.csv
0
{ "column_index": [ 1 ], "row_index": [ 0 ] }
[ "which company is on the beeline network?" ]
0
sotelco ltd.
[ "Network", "Company", "Mobile Prefixes", "Mobile Examples", "Landline Prefixes", "Landline Examples", "Notes" ]
which company is on the beeline network?
[ [ "Beeline", "Sotelco Ltd.", "031 (+ 7 digits) 060 (+ 6 digits", "+855 31 234 5678 +855 60 234 5", "NDC + '46' + 4-5 digits", "+855 23 461 2346 +855 64 461 2", "nan" ], [ "Mobitel", "CamGSM Co., Ltd.", "011 (+ 6 digits) 012 (+ 6-7 digit", "+855 76 234 5678 +855 12 123", "-", "-", "Also known as Cellcard Incorporates the former Mfone" ], [ "CooTel", "Xinwei (Cambodia) Telecom Co.", "038 (+ 7 digits)", "+855 38 383 8380", "NDC + '47' + 4-5 digits", "+855 23 471 2346 +855 64 471 2", "nan" ], [ "Excell", "GT-TELL (Cambodia) Investment Co., Ltd", "018 (+ 6 digits)", "+855 18 234 567", "-", "-", "nan" ], [ "Metfone", "Viettel (Cambodia) Pte., Ltd", "088 (+ 7 digits) 097 (+ 7 digits", "+855 88 234 5678 +855 97 2", "-", "-", "nan" ], [ "qb", "Cambodia Advance Communications Co., Ltd. (CADCOMMS)", "013 (+ 6 digits) 080 (+ 6 digits", "+855 13 234 567", "-", "-", "nan" ], [ "Smart", "Smart Axiata Co., Ltd", "010 (+ 6 digits) 015 (+ 6 digits", "+855 96 234 5678 +855 10 234", "NDC + '45' + 4-5 digits", "+855 23 451 2346 +855 64 451 2", "Incorporates the former Hello Axiata" ] ]
[ "Sotelco Ltd." ]
which company is on the beeline network? ||
nt-11617
col : network | company | mobile prefixes | mobile examples | landline prefixes | landline examples | notes row 1 : beeline | sotelco ltd. | 031 (+ 7 digits) 060 (+ 6 digits | +855 31 234 5678 +855 60 234 5 | ndc + '46' + 4-5 digits | +855 23 461 2346 +855 64 461 2 | nan row 2 : mobitel | camgsm co., ltd. | 011 (+ 6 digits) 012 (+ 6-7 digit | +855 76 234 5678 +855 12 123 | - | - | also known as cellcard incorporates the former mfone row 3 : cootel | xinwei (cambodia) telecom co. | 038 (+ 7 digits) | +855 38 383 8380 | ndc + '47' + 4-5 digits | +855 23 471 2346 +855 64 471 2 | nan row 4 : excell | gt-tell (cambodia) investment co., ltd | 018 (+ 6 digits) | +855 18 234 567 | - | - | nan row 5 : metfone | viettel (cambodia) pte., ltd | 088 (+ 7 digits) 097 (+ 7 digits | +855 88 234 5678 +855 97 2 | - | - | nan row 6 : qb | cambodia advance communications co., ltd. (cadcomms) | 013 (+ 6 digits) 080 (+ 6 digits | +855 13 234 567 | - | - | nan row 7 : smart | smart axiata co., ltd | 010 (+ 6 digits) 015 (+ 6 digits | +855 96 234 5678 +855 10 234 | ndc + '45' + 4-5 digits | +855 23 451 2346 +855 64 451 2 | incorporates the former hello axiata
table_csv/203_202.csv
1
{ "column_index": [ 1 ], "row_index": [ 1 ] }
[ "which company is on the beeline network?", "which company is on the mobitel network?" ]
0
camgsm co., ltd.
[ "Network", "Company", "Mobile Prefixes", "Mobile Examples", "Landline Prefixes", "Landline Examples", "Notes" ]
which company is on the mobitel network?
[ [ "Beeline", "Sotelco Ltd.", "031 (+ 7 digits) 060 (+ 6 digits", "+855 31 234 5678 +855 60 234 5", "NDC + '46' + 4-5 digits", "+855 23 461 2346 +855 64 461 2", "nan" ], [ "Mobitel", "CamGSM Co., Ltd.", "011 (+ 6 digits) 012 (+ 6-7 digit", "+855 76 234 5678 +855 12 123", "-", "-", "Also known as Cellcard Incorporates the former Mfone" ], [ "CooTel", "Xinwei (Cambodia) Telecom Co.", "038 (+ 7 digits)", "+855 38 383 8380", "NDC + '47' + 4-5 digits", "+855 23 471 2346 +855 64 471 2", "nan" ], [ "Excell", "GT-TELL (Cambodia) Investment Co., Ltd", "018 (+ 6 digits)", "+855 18 234 567", "-", "-", "nan" ], [ "Metfone", "Viettel (Cambodia) Pte., Ltd", "088 (+ 7 digits) 097 (+ 7 digits", "+855 88 234 5678 +855 97 2", "-", "-", "nan" ], [ "qb", "Cambodia Advance Communications Co., Ltd. (CADCOMMS)", "013 (+ 6 digits) 080 (+ 6 digits", "+855 13 234 567", "-", "-", "nan" ], [ "Smart", "Smart Axiata Co., Ltd", "010 (+ 6 digits) 015 (+ 6 digits", "+855 96 234 5678 +855 10 234", "NDC + '45' + 4-5 digits", "+855 23 451 2346 +855 64 451 2", "Incorporates the former Hello Axiata" ] ]
[ "CamGSM Co., Ltd." ]
which company is on the mobitel network? || which company is on the beeline network?
nt-11617
col : network | company | mobile prefixes | mobile examples | landline prefixes | landline examples | notes row 1 : beeline | sotelco ltd. | 031 (+ 7 digits) 060 (+ 6 digits | +855 31 234 5678 +855 60 234 5 | ndc + '46' + 4-5 digits | +855 23 461 2346 +855 64 461 2 | nan row 2 : mobitel | camgsm co., ltd. | 011 (+ 6 digits) 012 (+ 6-7 digit | +855 76 234 5678 +855 12 123 | - | - | also known as cellcard incorporates the former mfone row 3 : cootel | xinwei (cambodia) telecom co. | 038 (+ 7 digits) | +855 38 383 8380 | ndc + '47' + 4-5 digits | +855 23 471 2346 +855 64 471 2 | nan row 4 : excell | gt-tell (cambodia) investment co., ltd | 018 (+ 6 digits) | +855 18 234 567 | - | - | nan row 5 : metfone | viettel (cambodia) pte., ltd | 088 (+ 7 digits) 097 (+ 7 digits | +855 88 234 5678 +855 97 2 | - | - | nan row 6 : qb | cambodia advance communications co., ltd. (cadcomms) | 013 (+ 6 digits) 080 (+ 6 digits | +855 13 234 567 | - | - | nan row 7 : smart | smart axiata co., ltd | 010 (+ 6 digits) 015 (+ 6 digits | +855 96 234 5678 +855 10 234 | ndc + '45' + 4-5 digits | +855 23 451 2346 +855 64 451 2 | incorporates the former hello axiata
table_csv/203_202.csv
2
{ "column_index": [ 0 ], "row_index": [ 1 ] }
[ "which company is on the beeline network?", "which company is on the mobitel network?", "which nertwork incorporated the mfone?" ]
0
mobitel
[ "Network", "Company", "Mobile Prefixes", "Mobile Examples", "Landline Prefixes", "Landline Examples", "Notes" ]
which nertwork incorporated the mfone?
[ [ "Beeline", "Sotelco Ltd.", "031 (+ 7 digits) 060 (+ 6 digits", "+855 31 234 5678 +855 60 234 5", "NDC + '46' + 4-5 digits", "+855 23 461 2346 +855 64 461 2", "nan" ], [ "Mobitel", "CamGSM Co., Ltd.", "011 (+ 6 digits) 012 (+ 6-7 digit", "+855 76 234 5678 +855 12 123", "-", "-", "Also known as Cellcard Incorporates the former Mfone" ], [ "CooTel", "Xinwei (Cambodia) Telecom Co.", "038 (+ 7 digits)", "+855 38 383 8380", "NDC + '47' + 4-5 digits", "+855 23 471 2346 +855 64 471 2", "nan" ], [ "Excell", "GT-TELL (Cambodia) Investment Co., Ltd", "018 (+ 6 digits)", "+855 18 234 567", "-", "-", "nan" ], [ "Metfone", "Viettel (Cambodia) Pte., Ltd", "088 (+ 7 digits) 097 (+ 7 digits", "+855 88 234 5678 +855 97 2", "-", "-", "nan" ], [ "qb", "Cambodia Advance Communications Co., Ltd. (CADCOMMS)", "013 (+ 6 digits) 080 (+ 6 digits", "+855 13 234 567", "-", "-", "nan" ], [ "Smart", "Smart Axiata Co., Ltd", "010 (+ 6 digits) 015 (+ 6 digits", "+855 96 234 5678 +855 10 234", "NDC + '45' + 4-5 digits", "+855 23 451 2346 +855 64 451 2", "Incorporates the former Hello Axiata" ] ]
[ "Mobitel" ]
which nertwork incorporated the mfone? || which company is on the mobitel network? | which company is on the beeline network?
nt-11617
col : network | company | mobile prefixes | mobile examples | landline prefixes | landline examples | notes row 1 : beeline | sotelco ltd. | 031 (+ 7 digits) 060 (+ 6 digits | +855 31 234 5678 +855 60 234 5 | ndc + '46' + 4-5 digits | +855 23 461 2346 +855 64 461 2 | nan row 2 : mobitel | camgsm co., ltd. | 011 (+ 6 digits) 012 (+ 6-7 digit | +855 76 234 5678 +855 12 123 | - | - | also known as cellcard incorporates the former mfone row 3 : cootel | xinwei (cambodia) telecom co. | 038 (+ 7 digits) | +855 38 383 8380 | ndc + '47' + 4-5 digits | +855 23 471 2346 +855 64 471 2 | nan row 4 : excell | gt-tell (cambodia) investment co., ltd | 018 (+ 6 digits) | +855 18 234 567 | - | - | nan row 5 : metfone | viettel (cambodia) pte., ltd | 088 (+ 7 digits) 097 (+ 7 digits | +855 88 234 5678 +855 97 2 | - | - | nan row 6 : qb | cambodia advance communications co., ltd. (cadcomms) | 013 (+ 6 digits) 080 (+ 6 digits | +855 13 234 567 | - | - | nan row 7 : smart | smart axiata co., ltd | 010 (+ 6 digits) 015 (+ 6 digits | +855 96 234 5678 +855 10 234 | ndc + '45' + 4-5 digits | +855 23 451 2346 +855 64 451 2 | incorporates the former hello axiata
table_csv/203_202.csv
0
{ "column_index": [ 0, 0, 0, 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6 ] }
[ "what are the names of the networks?" ]
1
beeline, mobitel, cootel, excell, metfone, qb, smart
[ "Network", "Company", "Mobile Prefixes", "Mobile Examples", "Landline Prefixes", "Landline Examples", "Notes" ]
what are the names of the networks?
[ [ "Beeline", "Sotelco Ltd.", "031 (+ 7 digits) 060 (+ 6 digits", "+855 31 234 5678 +855 60 234 5", "NDC + '46' + 4-5 digits", "+855 23 461 2346 +855 64 461 2", "nan" ], [ "Mobitel", "CamGSM Co., Ltd.", "011 (+ 6 digits) 012 (+ 6-7 digit", "+855 76 234 5678 +855 12 123", "-", "-", "Also known as Cellcard Incorporates the former Mfone" ], [ "CooTel", "Xinwei (Cambodia) Telecom Co.", "038 (+ 7 digits)", "+855 38 383 8380", "NDC + '47' + 4-5 digits", "+855 23 471 2346 +855 64 471 2", "nan" ], [ "Excell", "GT-TELL (Cambodia) Investment Co., Ltd", "018 (+ 6 digits)", "+855 18 234 567", "-", "-", "nan" ], [ "Metfone", "Viettel (Cambodia) Pte., Ltd", "088 (+ 7 digits) 097 (+ 7 digits", "+855 88 234 5678 +855 97 2", "-", "-", "nan" ], [ "qb", "Cambodia Advance Communications Co., Ltd. (CADCOMMS)", "013 (+ 6 digits) 080 (+ 6 digits", "+855 13 234 567", "-", "-", "nan" ], [ "Smart", "Smart Axiata Co., Ltd", "010 (+ 6 digits) 015 (+ 6 digits", "+855 96 234 5678 +855 10 234", "NDC + '45' + 4-5 digits", "+855 23 451 2346 +855 64 451 2", "Incorporates the former Hello Axiata" ] ]
[ "Beeline", "Mobitel", "CooTel", "Excell", "Metfone", "qb", "Smart" ]
what are the names of the networks? ||
nt-11617
col : network | company | mobile prefixes | mobile examples | landline prefixes | landline examples | notes row 1 : beeline | sotelco ltd. | 031 (+ 7 digits) 060 (+ 6 digits | +855 31 234 5678 +855 60 234 5 | ndc + '46' + 4-5 digits | +855 23 461 2346 +855 64 461 2 | nan row 2 : mobitel | camgsm co., ltd. | 011 (+ 6 digits) 012 (+ 6-7 digit | +855 76 234 5678 +855 12 123 | - | - | also known as cellcard incorporates the former mfone row 3 : cootel | xinwei (cambodia) telecom co. | 038 (+ 7 digits) | +855 38 383 8380 | ndc + '47' + 4-5 digits | +855 23 471 2346 +855 64 471 2 | nan row 4 : excell | gt-tell (cambodia) investment co., ltd | 018 (+ 6 digits) | +855 18 234 567 | - | - | nan row 5 : metfone | viettel (cambodia) pte., ltd | 088 (+ 7 digits) 097 (+ 7 digits | +855 88 234 5678 +855 97 2 | - | - | nan row 6 : qb | cambodia advance communications co., ltd. (cadcomms) | 013 (+ 6 digits) 080 (+ 6 digits | +855 13 234 567 | - | - | nan row 7 : smart | smart axiata co., ltd | 010 (+ 6 digits) 015 (+ 6 digits | +855 96 234 5678 +855 10 234 | ndc + '45' + 4-5 digits | +855 23 451 2346 +855 64 451 2 | incorporates the former hello axiata
table_csv/203_202.csv
1
{ "column_index": [ 0, 0 ], "row_index": [ 1, 6 ] }
[ "what are the names of the networks?", "of these, which have an alias or have incorporated another company?" ]
1
mobitel, smart
[ "Network", "Company", "Mobile Prefixes", "Mobile Examples", "Landline Prefixes", "Landline Examples", "Notes" ]
of these, which have an alias or have incorporated another company?
[ [ "Beeline", "Sotelco Ltd.", "031 (+ 7 digits) 060 (+ 6 digits", "+855 31 234 5678 +855 60 234 5", "NDC + '46' + 4-5 digits", "+855 23 461 2346 +855 64 461 2", "nan" ], [ "Mobitel", "CamGSM Co., Ltd.", "011 (+ 6 digits) 012 (+ 6-7 digit", "+855 76 234 5678 +855 12 123", "-", "-", "Also known as Cellcard Incorporates the former Mfone" ], [ "CooTel", "Xinwei (Cambodia) Telecom Co.", "038 (+ 7 digits)", "+855 38 383 8380", "NDC + '47' + 4-5 digits", "+855 23 471 2346 +855 64 471 2", "nan" ], [ "Excell", "GT-TELL (Cambodia) Investment Co., Ltd", "018 (+ 6 digits)", "+855 18 234 567", "-", "-", "nan" ], [ "Metfone", "Viettel (Cambodia) Pte., Ltd", "088 (+ 7 digits) 097 (+ 7 digits", "+855 88 234 5678 +855 97 2", "-", "-", "nan" ], [ "qb", "Cambodia Advance Communications Co., Ltd. (CADCOMMS)", "013 (+ 6 digits) 080 (+ 6 digits", "+855 13 234 567", "-", "-", "nan" ], [ "Smart", "Smart Axiata Co., Ltd", "010 (+ 6 digits) 015 (+ 6 digits", "+855 96 234 5678 +855 10 234", "NDC + '45' + 4-5 digits", "+855 23 451 2346 +855 64 451 2", "Incorporates the former Hello Axiata" ] ]
[ "Mobitel", "Smart" ]
of these, which have an alias or have incorporated another company? || what are the names of the networks?
nt-11617
col : network | company | mobile prefixes | mobile examples | landline prefixes | landline examples | notes row 1 : beeline | sotelco ltd. | 031 (+ 7 digits) 060 (+ 6 digits | +855 31 234 5678 +855 60 234 5 | ndc + '46' + 4-5 digits | +855 23 461 2346 +855 64 461 2 | nan row 2 : mobitel | camgsm co., ltd. | 011 (+ 6 digits) 012 (+ 6-7 digit | +855 76 234 5678 +855 12 123 | - | - | also known as cellcard incorporates the former mfone row 3 : cootel | xinwei (cambodia) telecom co. | 038 (+ 7 digits) | +855 38 383 8380 | ndc + '47' + 4-5 digits | +855 23 471 2346 +855 64 471 2 | nan row 4 : excell | gt-tell (cambodia) investment co., ltd | 018 (+ 6 digits) | +855 18 234 567 | - | - | nan row 5 : metfone | viettel (cambodia) pte., ltd | 088 (+ 7 digits) 097 (+ 7 digits | +855 88 234 5678 +855 97 2 | - | - | nan row 6 : qb | cambodia advance communications co., ltd. (cadcomms) | 013 (+ 6 digits) 080 (+ 6 digits | +855 13 234 567 | - | - | nan row 7 : smart | smart axiata co., ltd | 010 (+ 6 digits) 015 (+ 6 digits | +855 96 234 5678 +855 10 234 | ndc + '45' + 4-5 digits | +855 23 451 2346 +855 64 451 2 | incorporates the former hello axiata
table_csv/203_202.csv
2
{ "column_index": [ 0 ], "row_index": [ 1 ] }
[ "what are the names of the networks?", "of these, which have an alias or have incorporated another company?", "of these, which is also know as cellcard?" ]
1
mobitel
[ "Network", "Company", "Mobile Prefixes", "Mobile Examples", "Landline Prefixes", "Landline Examples", "Notes" ]
of these, which is also know as cellcard?
[ [ "Beeline", "Sotelco Ltd.", "031 (+ 7 digits) 060 (+ 6 digits", "+855 31 234 5678 +855 60 234 5", "NDC + '46' + 4-5 digits", "+855 23 461 2346 +855 64 461 2", "nan" ], [ "Mobitel", "CamGSM Co., Ltd.", "011 (+ 6 digits) 012 (+ 6-7 digit", "+855 76 234 5678 +855 12 123", "-", "-", "Also known as Cellcard Incorporates the former Mfone" ], [ "CooTel", "Xinwei (Cambodia) Telecom Co.", "038 (+ 7 digits)", "+855 38 383 8380", "NDC + '47' + 4-5 digits", "+855 23 471 2346 +855 64 471 2", "nan" ], [ "Excell", "GT-TELL (Cambodia) Investment Co., Ltd", "018 (+ 6 digits)", "+855 18 234 567", "-", "-", "nan" ], [ "Metfone", "Viettel (Cambodia) Pte., Ltd", "088 (+ 7 digits) 097 (+ 7 digits", "+855 88 234 5678 +855 97 2", "-", "-", "nan" ], [ "qb", "Cambodia Advance Communications Co., Ltd. (CADCOMMS)", "013 (+ 6 digits) 080 (+ 6 digits", "+855 13 234 567", "-", "-", "nan" ], [ "Smart", "Smart Axiata Co., Ltd", "010 (+ 6 digits) 015 (+ 6 digits", "+855 96 234 5678 +855 10 234", "NDC + '45' + 4-5 digits", "+855 23 451 2346 +855 64 451 2", "Incorporates the former Hello Axiata" ] ]
[ "Mobitel" ]
of these, which is also know as cellcard? || of these, which have an alias or have incorporated another company? | what are the names of the networks?
nt-11617
col : network | company | mobile prefixes | mobile examples | landline prefixes | landline examples | notes row 1 : beeline | sotelco ltd. | 031 (+ 7 digits) 060 (+ 6 digits | +855 31 234 5678 +855 60 234 5 | ndc + '46' + 4-5 digits | +855 23 461 2346 +855 64 461 2 | nan row 2 : mobitel | camgsm co., ltd. | 011 (+ 6 digits) 012 (+ 6-7 digit | +855 76 234 5678 +855 12 123 | - | - | also known as cellcard incorporates the former mfone row 3 : cootel | xinwei (cambodia) telecom co. | 038 (+ 7 digits) | +855 38 383 8380 | ndc + '47' + 4-5 digits | +855 23 471 2346 +855 64 471 2 | nan row 4 : excell | gt-tell (cambodia) investment co., ltd | 018 (+ 6 digits) | +855 18 234 567 | - | - | nan row 5 : metfone | viettel (cambodia) pte., ltd | 088 (+ 7 digits) 097 (+ 7 digits | +855 88 234 5678 +855 97 2 | - | - | nan row 6 : qb | cambodia advance communications co., ltd. (cadcomms) | 013 (+ 6 digits) 080 (+ 6 digits | +855 13 234 567 | - | - | nan row 7 : smart | smart axiata co., ltd | 010 (+ 6 digits) 015 (+ 6 digits | +855 96 234 5678 +855 10 234 | ndc + '45' + 4-5 digits | +855 23 451 2346 +855 64 451 2 | incorporates the former hello axiata
table_csv/203_202.csv
0
{ "column_index": [ 0, 0, 0, 0 ], "row_index": [ 0, 1, 4, 6 ] }
[ "which networks have multiple mobile examples?" ]
2
beeline, mobitel, metfone, smart
[ "Network", "Company", "Mobile Prefixes", "Mobile Examples", "Landline Prefixes", "Landline Examples", "Notes" ]
which networks have multiple mobile examples?
[ [ "Beeline", "Sotelco Ltd.", "031 (+ 7 digits) 060 (+ 6 digits", "+855 31 234 5678 +855 60 234 5", "NDC + '46' + 4-5 digits", "+855 23 461 2346 +855 64 461 2", "nan" ], [ "Mobitel", "CamGSM Co., Ltd.", "011 (+ 6 digits) 012 (+ 6-7 digit", "+855 76 234 5678 +855 12 123", "-", "-", "Also known as Cellcard Incorporates the former Mfone" ], [ "CooTel", "Xinwei (Cambodia) Telecom Co.", "038 (+ 7 digits)", "+855 38 383 8380", "NDC + '47' + 4-5 digits", "+855 23 471 2346 +855 64 471 2", "nan" ], [ "Excell", "GT-TELL (Cambodia) Investment Co., Ltd", "018 (+ 6 digits)", "+855 18 234 567", "-", "-", "nan" ], [ "Metfone", "Viettel (Cambodia) Pte., Ltd", "088 (+ 7 digits) 097 (+ 7 digits", "+855 88 234 5678 +855 97 2", "-", "-", "nan" ], [ "qb", "Cambodia Advance Communications Co., Ltd. (CADCOMMS)", "013 (+ 6 digits) 080 (+ 6 digits", "+855 13 234 567", "-", "-", "nan" ], [ "Smart", "Smart Axiata Co., Ltd", "010 (+ 6 digits) 015 (+ 6 digits", "+855 96 234 5678 +855 10 234", "NDC + '45' + 4-5 digits", "+855 23 451 2346 +855 64 451 2", "Incorporates the former Hello Axiata" ] ]
[ "Beeline", "Mobitel", "Metfone", "Smart" ]
which networks have multiple mobile examples? ||
nt-11617
col : network | company | mobile prefixes | mobile examples | landline prefixes | landline examples | notes row 1 : beeline | sotelco ltd. | 031 (+ 7 digits) 060 (+ 6 digits | +855 31 234 5678 +855 60 234 5 | ndc + '46' + 4-5 digits | +855 23 461 2346 +855 64 461 2 | nan row 2 : mobitel | camgsm co., ltd. | 011 (+ 6 digits) 012 (+ 6-7 digit | +855 76 234 5678 +855 12 123 | - | - | also known as cellcard incorporates the former mfone row 3 : cootel | xinwei (cambodia) telecom co. | 038 (+ 7 digits) | +855 38 383 8380 | ndc + '47' + 4-5 digits | +855 23 471 2346 +855 64 471 2 | nan row 4 : excell | gt-tell (cambodia) investment co., ltd | 018 (+ 6 digits) | +855 18 234 567 | - | - | nan row 5 : metfone | viettel (cambodia) pte., ltd | 088 (+ 7 digits) 097 (+ 7 digits | +855 88 234 5678 +855 97 2 | - | - | nan row 6 : qb | cambodia advance communications co., ltd. (cadcomms) | 013 (+ 6 digits) 080 (+ 6 digits | +855 13 234 567 | - | - | nan row 7 : smart | smart axiata co., ltd | 010 (+ 6 digits) 015 (+ 6 digits | +855 96 234 5678 +855 10 234 | ndc + '45' + 4-5 digits | +855 23 451 2346 +855 64 451 2 | incorporates the former hello axiata
table_csv/203_202.csv
1
{ "column_index": [ 0, 0 ], "row_index": [ 1, 4 ] }
[ "which networks have multiple mobile examples?", "of these networks, which have no landline prefixes?" ]
2
mobitel, metfone
[ "Network", "Company", "Mobile Prefixes", "Mobile Examples", "Landline Prefixes", "Landline Examples", "Notes" ]
of these networks, which have no landline prefixes?
[ [ "Beeline", "Sotelco Ltd.", "031 (+ 7 digits) 060 (+ 6 digits", "+855 31 234 5678 +855 60 234 5", "NDC + '46' + 4-5 digits", "+855 23 461 2346 +855 64 461 2", "nan" ], [ "Mobitel", "CamGSM Co., Ltd.", "011 (+ 6 digits) 012 (+ 6-7 digit", "+855 76 234 5678 +855 12 123", "-", "-", "Also known as Cellcard Incorporates the former Mfone" ], [ "CooTel", "Xinwei (Cambodia) Telecom Co.", "038 (+ 7 digits)", "+855 38 383 8380", "NDC + '47' + 4-5 digits", "+855 23 471 2346 +855 64 471 2", "nan" ], [ "Excell", "GT-TELL (Cambodia) Investment Co., Ltd", "018 (+ 6 digits)", "+855 18 234 567", "-", "-", "nan" ], [ "Metfone", "Viettel (Cambodia) Pte., Ltd", "088 (+ 7 digits) 097 (+ 7 digits", "+855 88 234 5678 +855 97 2", "-", "-", "nan" ], [ "qb", "Cambodia Advance Communications Co., Ltd. (CADCOMMS)", "013 (+ 6 digits) 080 (+ 6 digits", "+855 13 234 567", "-", "-", "nan" ], [ "Smart", "Smart Axiata Co., Ltd", "010 (+ 6 digits) 015 (+ 6 digits", "+855 96 234 5678 +855 10 234", "NDC + '45' + 4-5 digits", "+855 23 451 2346 +855 64 451 2", "Incorporates the former Hello Axiata" ] ]
[ "Mobitel", "Metfone" ]
of these networks, which have no landline prefixes? || which networks have multiple mobile examples?
nt-11617
col : network | company | mobile prefixes | mobile examples | landline prefixes | landline examples | notes row 1 : beeline | sotelco ltd. | 031 (+ 7 digits) 060 (+ 6 digits | +855 31 234 5678 +855 60 234 5 | ndc + '46' + 4-5 digits | +855 23 461 2346 +855 64 461 2 | nan row 2 : mobitel | camgsm co., ltd. | 011 (+ 6 digits) 012 (+ 6-7 digit | +855 76 234 5678 +855 12 123 | - | - | also known as cellcard incorporates the former mfone row 3 : cootel | xinwei (cambodia) telecom co. | 038 (+ 7 digits) | +855 38 383 8380 | ndc + '47' + 4-5 digits | +855 23 471 2346 +855 64 471 2 | nan row 4 : excell | gt-tell (cambodia) investment co., ltd | 018 (+ 6 digits) | +855 18 234 567 | - | - | nan row 5 : metfone | viettel (cambodia) pte., ltd | 088 (+ 7 digits) 097 (+ 7 digits | +855 88 234 5678 +855 97 2 | - | - | nan row 6 : qb | cambodia advance communications co., ltd. (cadcomms) | 013 (+ 6 digits) 080 (+ 6 digits | +855 13 234 567 | - | - | nan row 7 : smart | smart axiata co., ltd | 010 (+ 6 digits) 015 (+ 6 digits | +855 96 234 5678 +855 10 234 | ndc + '45' + 4-5 digits | +855 23 451 2346 +855 64 451 2 | incorporates the former hello axiata
table_csv/203_202.csv
2
{ "column_index": [ 0 ], "row_index": [ 1 ] }
[ "which networks have multiple mobile examples?", "of these networks, which have no landline prefixes?", "of the remaining two networks, which one is known as cellcard?" ]
2
mobitel
[ "Network", "Company", "Mobile Prefixes", "Mobile Examples", "Landline Prefixes", "Landline Examples", "Notes" ]
of the remaining two networks, which one is known as cellcard?
[ [ "Beeline", "Sotelco Ltd.", "031 (+ 7 digits) 060 (+ 6 digits", "+855 31 234 5678 +855 60 234 5", "NDC + '46' + 4-5 digits", "+855 23 461 2346 +855 64 461 2", "nan" ], [ "Mobitel", "CamGSM Co., Ltd.", "011 (+ 6 digits) 012 (+ 6-7 digit", "+855 76 234 5678 +855 12 123", "-", "-", "Also known as Cellcard Incorporates the former Mfone" ], [ "CooTel", "Xinwei (Cambodia) Telecom Co.", "038 (+ 7 digits)", "+855 38 383 8380", "NDC + '47' + 4-5 digits", "+855 23 471 2346 +855 64 471 2", "nan" ], [ "Excell", "GT-TELL (Cambodia) Investment Co., Ltd", "018 (+ 6 digits)", "+855 18 234 567", "-", "-", "nan" ], [ "Metfone", "Viettel (Cambodia) Pte., Ltd", "088 (+ 7 digits) 097 (+ 7 digits", "+855 88 234 5678 +855 97 2", "-", "-", "nan" ], [ "qb", "Cambodia Advance Communications Co., Ltd. (CADCOMMS)", "013 (+ 6 digits) 080 (+ 6 digits", "+855 13 234 567", "-", "-", "nan" ], [ "Smart", "Smart Axiata Co., Ltd", "010 (+ 6 digits) 015 (+ 6 digits", "+855 96 234 5678 +855 10 234", "NDC + '45' + 4-5 digits", "+855 23 451 2346 +855 64 451 2", "Incorporates the former Hello Axiata" ] ]
[ "Mobitel" ]
of the remaining two networks, which one is known as cellcard? || of these networks, which have no landline prefixes? | which networks have multiple mobile examples?
ns-2131
col : season | north | south | east | west row 1 : 2000-01 | ehc regensburg | sb rosenheim | deggendorfer sc ii | ev landsberg row 2 : 2001-02 | bts bayreuth | tus geretsried ii | deggendorfer sc ii | tsv kottern row 3 : 2002-03 | ec bayreuth | sc riessersee ii | tsv erding jets | tsv peissenberg row 4 : 2003-04 | ehc ingolstadt ii | esc holzkirchen | ehf passau | tsv kottern row 5 : 2004-05 | ver selb | eac bad reichenhall | se freising | erc lechbruck row 6 : 2005-06 | ec bad kissingen | ehc munchen ii | esv waldkirchen | ev bad worishofen row 7 : 2006-07 | ehc bayreuth | esc geretsried | esv gebensbach | vfl denklingen row 8 : 2007-08 | ec amberg | sc gaissach | ev bruckberg | esc kempten row 9 : 2008-09 | erc ingolstadt | tsv schliersee | esv waldkirchen | 1. ec senden
table_csv/204_1.csv
0
{ "column_index": [ 0, 0 ], "row_index": [ 0, 1 ] }
[ "what two seasons does deggendorfer appear?" ]
0
2000-01, 2001-02
[ "Season", "North", "South", "East", "West" ]
what two seasons does deggendorfer appear?
[ [ "2000-01", "EHC Regensburg", "SB Rosenheim", "Deggendorfer SC II", "EV Landsberg" ], [ "2001-02", "BTS Bayreuth", "TuS Geretsried II", "Deggendorfer SC II", "TSV Kottern" ], [ "2002-03", "EC Bayreuth", "SC Riessersee II", "TSV Erding Jets", "TSV Peissenberg" ], [ "2003-04", "EHC Ingolstadt II", "ESC Holzkirchen", "EHF Passau", "TSV Kottern" ], [ "2004-05", "VER Selb", "EAC Bad Reichenhall", "SE Freising", "ERC Lechbruck" ], [ "2005-06", "EC Bad Kissingen", "EHC Munchen II", "ESV Waldkirchen", "EV Bad Worishofen" ], [ "2006-07", "EHC Bayreuth", "ESC Geretsried", "ESV Gebensbach", "VfL Denklingen" ], [ "2007-08", "EC Amberg", "SC Gaissach", "EV Bruckberg", "ESC Kempten" ], [ "2008-09", "ERC Ingolstadt", "TSV Schliersee", "ESV Waldkirchen", "1. EC Senden" ] ]
[ "2000-01", "2001-02" ]
what two seasons does deggendorfer appear? ||
ns-2131
col : season | north | south | east | west row 1 : 2000-01 | ehc regensburg | sb rosenheim | deggendorfer sc ii | ev landsberg row 2 : 2001-02 | bts bayreuth | tus geretsried ii | deggendorfer sc ii | tsv kottern row 3 : 2002-03 | ec bayreuth | sc riessersee ii | tsv erding jets | tsv peissenberg row 4 : 2003-04 | ehc ingolstadt ii | esc holzkirchen | ehf passau | tsv kottern row 5 : 2004-05 | ver selb | eac bad reichenhall | se freising | erc lechbruck row 6 : 2005-06 | ec bad kissingen | ehc munchen ii | esv waldkirchen | ev bad worishofen row 7 : 2006-07 | ehc bayreuth | esc geretsried | esv gebensbach | vfl denklingen row 8 : 2007-08 | ec amberg | sc gaissach | ev bruckberg | esc kempten row 9 : 2008-09 | erc ingolstadt | tsv schliersee | esv waldkirchen | 1. ec senden
table_csv/204_1.csv
1
{ "column_index": [ 0 ], "row_index": [ 1 ] }
[ "what two seasons does deggendorfer appear?", "which season was not 2000-2001?" ]
0
2001-02
[ "Season", "North", "South", "East", "West" ]
which season was not 2000-2001?
[ [ "2000-01", "EHC Regensburg", "SB Rosenheim", "Deggendorfer SC II", "EV Landsberg" ], [ "2001-02", "BTS Bayreuth", "TuS Geretsried II", "Deggendorfer SC II", "TSV Kottern" ], [ "2002-03", "EC Bayreuth", "SC Riessersee II", "TSV Erding Jets", "TSV Peissenberg" ], [ "2003-04", "EHC Ingolstadt II", "ESC Holzkirchen", "EHF Passau", "TSV Kottern" ], [ "2004-05", "VER Selb", "EAC Bad Reichenhall", "SE Freising", "ERC Lechbruck" ], [ "2005-06", "EC Bad Kissingen", "EHC Munchen II", "ESV Waldkirchen", "EV Bad Worishofen" ], [ "2006-07", "EHC Bayreuth", "ESC Geretsried", "ESV Gebensbach", "VfL Denklingen" ], [ "2007-08", "EC Amberg", "SC Gaissach", "EV Bruckberg", "ESC Kempten" ], [ "2008-09", "ERC Ingolstadt", "TSV Schliersee", "ESV Waldkirchen", "1. EC Senden" ] ]
[ "2001-02" ]
which season was not 2000-2001? || what two seasons does deggendorfer appear?
ns-2131
col : season | north | south | east | west row 1 : 2000-01 | ehc regensburg | sb rosenheim | deggendorfer sc ii | ev landsberg row 2 : 2001-02 | bts bayreuth | tus geretsried ii | deggendorfer sc ii | tsv kottern row 3 : 2002-03 | ec bayreuth | sc riessersee ii | tsv erding jets | tsv peissenberg row 4 : 2003-04 | ehc ingolstadt ii | esc holzkirchen | ehf passau | tsv kottern row 5 : 2004-05 | ver selb | eac bad reichenhall | se freising | erc lechbruck row 6 : 2005-06 | ec bad kissingen | ehc munchen ii | esv waldkirchen | ev bad worishofen row 7 : 2006-07 | ehc bayreuth | esc geretsried | esv gebensbach | vfl denklingen row 8 : 2007-08 | ec amberg | sc gaissach | ev bruckberg | esc kempten row 9 : 2008-09 | erc ingolstadt | tsv schliersee | esv waldkirchen | 1. ec senden
table_csv/204_1.csv
0
{ "column_index": [ 0, 0, 0, 0, 0, 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8 ] }
[ "what are all of the seasons?" ]
1
2000-01, 2001-02, 2002-03, 2003-04, 2004-05, 2005-06, 2006-07, 2007-08, 2008-09
[ "Season", "North", "South", "East", "West" ]
what are all of the seasons?
[ [ "2000-01", "EHC Regensburg", "SB Rosenheim", "Deggendorfer SC II", "EV Landsberg" ], [ "2001-02", "BTS Bayreuth", "TuS Geretsried II", "Deggendorfer SC II", "TSV Kottern" ], [ "2002-03", "EC Bayreuth", "SC Riessersee II", "TSV Erding Jets", "TSV Peissenberg" ], [ "2003-04", "EHC Ingolstadt II", "ESC Holzkirchen", "EHF Passau", "TSV Kottern" ], [ "2004-05", "VER Selb", "EAC Bad Reichenhall", "SE Freising", "ERC Lechbruck" ], [ "2005-06", "EC Bad Kissingen", "EHC Munchen II", "ESV Waldkirchen", "EV Bad Worishofen" ], [ "2006-07", "EHC Bayreuth", "ESC Geretsried", "ESV Gebensbach", "VfL Denklingen" ], [ "2007-08", "EC Amberg", "SC Gaissach", "EV Bruckberg", "ESC Kempten" ], [ "2008-09", "ERC Ingolstadt", "TSV Schliersee", "ESV Waldkirchen", "1. EC Senden" ] ]
[ "2000-01", "2001-02", "2002-03", "2003-04", "2004-05", "2005-06", "2006-07", "2007-08", "2008-09" ]
what are all of the seasons? ||
ns-2131
col : season | north | south | east | west row 1 : 2000-01 | ehc regensburg | sb rosenheim | deggendorfer sc ii | ev landsberg row 2 : 2001-02 | bts bayreuth | tus geretsried ii | deggendorfer sc ii | tsv kottern row 3 : 2002-03 | ec bayreuth | sc riessersee ii | tsv erding jets | tsv peissenberg row 4 : 2003-04 | ehc ingolstadt ii | esc holzkirchen | ehf passau | tsv kottern row 5 : 2004-05 | ver selb | eac bad reichenhall | se freising | erc lechbruck row 6 : 2005-06 | ec bad kissingen | ehc munchen ii | esv waldkirchen | ev bad worishofen row 7 : 2006-07 | ehc bayreuth | esc geretsried | esv gebensbach | vfl denklingen row 8 : 2007-08 | ec amberg | sc gaissach | ev bruckberg | esc kempten row 9 : 2008-09 | erc ingolstadt | tsv schliersee | esv waldkirchen | 1. ec senden
table_csv/204_1.csv
1
{ "column_index": [ 3, 3, 3, 3, 3, 3, 3, 3, 3 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8 ] }
[ "what are all of the seasons?", "who are all of the east teams?" ]
1
deggendorfer sc ii, deggendorfer sc ii, tsv erding jets, ehf passau, se freising, esv waldkirchen, esv gebensbach, ev bruckberg, esv waldkirchen
[ "Season", "North", "South", "East", "West" ]
who are all of the east teams?
[ [ "2000-01", "EHC Regensburg", "SB Rosenheim", "Deggendorfer SC II", "EV Landsberg" ], [ "2001-02", "BTS Bayreuth", "TuS Geretsried II", "Deggendorfer SC II", "TSV Kottern" ], [ "2002-03", "EC Bayreuth", "SC Riessersee II", "TSV Erding Jets", "TSV Peissenberg" ], [ "2003-04", "EHC Ingolstadt II", "ESC Holzkirchen", "EHF Passau", "TSV Kottern" ], [ "2004-05", "VER Selb", "EAC Bad Reichenhall", "SE Freising", "ERC Lechbruck" ], [ "2005-06", "EC Bad Kissingen", "EHC Munchen II", "ESV Waldkirchen", "EV Bad Worishofen" ], [ "2006-07", "EHC Bayreuth", "ESC Geretsried", "ESV Gebensbach", "VfL Denklingen" ], [ "2007-08", "EC Amberg", "SC Gaissach", "EV Bruckberg", "ESC Kempten" ], [ "2008-09", "ERC Ingolstadt", "TSV Schliersee", "ESV Waldkirchen", "1. EC Senden" ] ]
[ "Deggendorfer SC II", "Deggendorfer SC II", "TSV Erding Jets", "EHF Passau", "SE Freising", "ESV Waldkirchen", "ESV Gebensbach", "EV Bruckberg", "ESV Waldkirchen" ]
who are all of the east teams? || what are all of the seasons?
ns-2131
col : season | north | south | east | west row 1 : 2000-01 | ehc regensburg | sb rosenheim | deggendorfer sc ii | ev landsberg row 2 : 2001-02 | bts bayreuth | tus geretsried ii | deggendorfer sc ii | tsv kottern row 3 : 2002-03 | ec bayreuth | sc riessersee ii | tsv erding jets | tsv peissenberg row 4 : 2003-04 | ehc ingolstadt ii | esc holzkirchen | ehf passau | tsv kottern row 5 : 2004-05 | ver selb | eac bad reichenhall | se freising | erc lechbruck row 6 : 2005-06 | ec bad kissingen | ehc munchen ii | esv waldkirchen | ev bad worishofen row 7 : 2006-07 | ehc bayreuth | esc geretsried | esv gebensbach | vfl denklingen row 8 : 2007-08 | ec amberg | sc gaissach | ev bruckberg | esc kempten row 9 : 2008-09 | erc ingolstadt | tsv schliersee | esv waldkirchen | 1. ec senden
table_csv/204_1.csv
2
{ "column_index": [ 0, 0 ], "row_index": [ 0, 1 ] }
[ "what are all of the seasons?", "who are all of the east teams?", "what seasons did deggendorfer sc ii play during?" ]
1
2000-01, 2001-02
[ "Season", "North", "South", "East", "West" ]
what seasons did deggendorfer sc ii play during?
[ [ "2000-01", "EHC Regensburg", "SB Rosenheim", "Deggendorfer SC II", "EV Landsberg" ], [ "2001-02", "BTS Bayreuth", "TuS Geretsried II", "Deggendorfer SC II", "TSV Kottern" ], [ "2002-03", "EC Bayreuth", "SC Riessersee II", "TSV Erding Jets", "TSV Peissenberg" ], [ "2003-04", "EHC Ingolstadt II", "ESC Holzkirchen", "EHF Passau", "TSV Kottern" ], [ "2004-05", "VER Selb", "EAC Bad Reichenhall", "SE Freising", "ERC Lechbruck" ], [ "2005-06", "EC Bad Kissingen", "EHC Munchen II", "ESV Waldkirchen", "EV Bad Worishofen" ], [ "2006-07", "EHC Bayreuth", "ESC Geretsried", "ESV Gebensbach", "VfL Denklingen" ], [ "2007-08", "EC Amberg", "SC Gaissach", "EV Bruckberg", "ESC Kempten" ], [ "2008-09", "ERC Ingolstadt", "TSV Schliersee", "ESV Waldkirchen", "1. EC Senden" ] ]
[ "2000-01", "2001-02" ]
what seasons did deggendorfer sc ii play during? || who are all of the east teams? | what are all of the seasons?
ns-2131
col : season | north | south | east | west row 1 : 2000-01 | ehc regensburg | sb rosenheim | deggendorfer sc ii | ev landsberg row 2 : 2001-02 | bts bayreuth | tus geretsried ii | deggendorfer sc ii | tsv kottern row 3 : 2002-03 | ec bayreuth | sc riessersee ii | tsv erding jets | tsv peissenberg row 4 : 2003-04 | ehc ingolstadt ii | esc holzkirchen | ehf passau | tsv kottern row 5 : 2004-05 | ver selb | eac bad reichenhall | se freising | erc lechbruck row 6 : 2005-06 | ec bad kissingen | ehc munchen ii | esv waldkirchen | ev bad worishofen row 7 : 2006-07 | ehc bayreuth | esc geretsried | esv gebensbach | vfl denklingen row 8 : 2007-08 | ec amberg | sc gaissach | ev bruckberg | esc kempten row 9 : 2008-09 | erc ingolstadt | tsv schliersee | esv waldkirchen | 1. ec senden
table_csv/204_1.csv
3
{ "column_index": [ 0 ], "row_index": [ 1 ] }
[ "what are all of the seasons?", "who are all of the east teams?", "what seasons did deggendorfer sc ii play during?", "which of those two seasons came second?" ]
1
2001-02
[ "Season", "North", "South", "East", "West" ]
which of those two seasons came second?
[ [ "2000-01", "EHC Regensburg", "SB Rosenheim", "Deggendorfer SC II", "EV Landsberg" ], [ "2001-02", "BTS Bayreuth", "TuS Geretsried II", "Deggendorfer SC II", "TSV Kottern" ], [ "2002-03", "EC Bayreuth", "SC Riessersee II", "TSV Erding Jets", "TSV Peissenberg" ], [ "2003-04", "EHC Ingolstadt II", "ESC Holzkirchen", "EHF Passau", "TSV Kottern" ], [ "2004-05", "VER Selb", "EAC Bad Reichenhall", "SE Freising", "ERC Lechbruck" ], [ "2005-06", "EC Bad Kissingen", "EHC Munchen II", "ESV Waldkirchen", "EV Bad Worishofen" ], [ "2006-07", "EHC Bayreuth", "ESC Geretsried", "ESV Gebensbach", "VfL Denklingen" ], [ "2007-08", "EC Amberg", "SC Gaissach", "EV Bruckberg", "ESC Kempten" ], [ "2008-09", "ERC Ingolstadt", "TSV Schliersee", "ESV Waldkirchen", "1. EC Senden" ] ]
[ "2001-02" ]
which of those two seasons came second? || what seasons did deggendorfer sc ii play during? | who are all of the east teams? | what are all of the seasons?
ns-2131
col : season | north | south | east | west row 1 : 2000-01 | ehc regensburg | sb rosenheim | deggendorfer sc ii | ev landsberg row 2 : 2001-02 | bts bayreuth | tus geretsried ii | deggendorfer sc ii | tsv kottern row 3 : 2002-03 | ec bayreuth | sc riessersee ii | tsv erding jets | tsv peissenberg row 4 : 2003-04 | ehc ingolstadt ii | esc holzkirchen | ehf passau | tsv kottern row 5 : 2004-05 | ver selb | eac bad reichenhall | se freising | erc lechbruck row 6 : 2005-06 | ec bad kissingen | ehc munchen ii | esv waldkirchen | ev bad worishofen row 7 : 2006-07 | ehc bayreuth | esc geretsried | esv gebensbach | vfl denklingen row 8 : 2007-08 | ec amberg | sc gaissach | ev bruckberg | esc kempten row 9 : 2008-09 | erc ingolstadt | tsv schliersee | esv waldkirchen | 1. ec senden
table_csv/204_1.csv
0
{ "column_index": [ 0, 0 ], "row_index": [ 0, 1 ] }
[ "what seasons did deggendorfer play bavarian ice hockey?" ]
2
2000-01, 2001-02
[ "Season", "North", "South", "East", "West" ]
what seasons did deggendorfer play bavarian ice hockey?
[ [ "2000-01", "EHC Regensburg", "SB Rosenheim", "Deggendorfer SC II", "EV Landsberg" ], [ "2001-02", "BTS Bayreuth", "TuS Geretsried II", "Deggendorfer SC II", "TSV Kottern" ], [ "2002-03", "EC Bayreuth", "SC Riessersee II", "TSV Erding Jets", "TSV Peissenberg" ], [ "2003-04", "EHC Ingolstadt II", "ESC Holzkirchen", "EHF Passau", "TSV Kottern" ], [ "2004-05", "VER Selb", "EAC Bad Reichenhall", "SE Freising", "ERC Lechbruck" ], [ "2005-06", "EC Bad Kissingen", "EHC Munchen II", "ESV Waldkirchen", "EV Bad Worishofen" ], [ "2006-07", "EHC Bayreuth", "ESC Geretsried", "ESV Gebensbach", "VfL Denklingen" ], [ "2007-08", "EC Amberg", "SC Gaissach", "EV Bruckberg", "ESC Kempten" ], [ "2008-09", "ERC Ingolstadt", "TSV Schliersee", "ESV Waldkirchen", "1. EC Senden" ] ]
[ "2000-01", "2001-02" ]
what seasons did deggendorfer play bavarian ice hockey? ||
ns-2131
col : season | north | south | east | west row 1 : 2000-01 | ehc regensburg | sb rosenheim | deggendorfer sc ii | ev landsberg row 2 : 2001-02 | bts bayreuth | tus geretsried ii | deggendorfer sc ii | tsv kottern row 3 : 2002-03 | ec bayreuth | sc riessersee ii | tsv erding jets | tsv peissenberg row 4 : 2003-04 | ehc ingolstadt ii | esc holzkirchen | ehf passau | tsv kottern row 5 : 2004-05 | ver selb | eac bad reichenhall | se freising | erc lechbruck row 6 : 2005-06 | ec bad kissingen | ehc munchen ii | esv waldkirchen | ev bad worishofen row 7 : 2006-07 | ehc bayreuth | esc geretsried | esv gebensbach | vfl denklingen row 8 : 2007-08 | ec amberg | sc gaissach | ev bruckberg | esc kempten row 9 : 2008-09 | erc ingolstadt | tsv schliersee | esv waldkirchen | 1. ec senden
table_csv/204_1.csv
1
{ "column_index": [ 0 ], "row_index": [ 1 ] }
[ "what seasons did deggendorfer play bavarian ice hockey?", "of those, which was a season other than 2000- 01?" ]
2
2001-02
[ "Season", "North", "South", "East", "West" ]
of those, which was a season other than 2000- 01?
[ [ "2000-01", "EHC Regensburg", "SB Rosenheim", "Deggendorfer SC II", "EV Landsberg" ], [ "2001-02", "BTS Bayreuth", "TuS Geretsried II", "Deggendorfer SC II", "TSV Kottern" ], [ "2002-03", "EC Bayreuth", "SC Riessersee II", "TSV Erding Jets", "TSV Peissenberg" ], [ "2003-04", "EHC Ingolstadt II", "ESC Holzkirchen", "EHF Passau", "TSV Kottern" ], [ "2004-05", "VER Selb", "EAC Bad Reichenhall", "SE Freising", "ERC Lechbruck" ], [ "2005-06", "EC Bad Kissingen", "EHC Munchen II", "ESV Waldkirchen", "EV Bad Worishofen" ], [ "2006-07", "EHC Bayreuth", "ESC Geretsried", "ESV Gebensbach", "VfL Denklingen" ], [ "2007-08", "EC Amberg", "SC Gaissach", "EV Bruckberg", "ESC Kempten" ], [ "2008-09", "ERC Ingolstadt", "TSV Schliersee", "ESV Waldkirchen", "1. EC Senden" ] ]
[ "2001-02" ]
of those, which was a season other than 2000- 01? || what seasons did deggendorfer play bavarian ice hockey?
nt-973
col : religious group | population % | growth (1991-2001) | sex ratio (total) | literacy (%) | work participation (%) | sex ratio (rural) | sex ratio (urban) | sex ratio (child) row 1 : hindu | 80.46% | 20.3% | 931 | 65.1% | 40.4% | 944 | 894 | 925 row 2 : muslim | 13.43% | 29.3% | 936 | 59.1% | 31.3% | 953 | 907 | 950 row 3 : christian | 2.34% | 22.6% | 1009 | 80.3% | 39.7% | 1001 | 1026 | 964 row 4 : sikh | 1.87% | 18.2% | 893 | 69.4% | 37.7% | 895 | 886 | 786 row 5 : buddhist | 0.77% | 18.2% | 953 | 72.7% | 40.6% | 958 | 944 | 942 row 6 : animist, others | 0.72% | 103.1% | 992 | 47.0% | 48.4% | 995 | 966 | 976 row 7 : jain | 0.41% | 26.0% | 940 | 94.1% | 32.9% | 937 | 941 | 870
table_csv/203_90.csv
0
{ "column_index": [ 4 ], "row_index": [ 6 ] }
[ "what is highest literacy rate of a group?" ]
0
94.1%
[ "Religious group", "Population %", "Growth (1991-2001)", "Sex ratio (total)", "Literacy (%)", "Work participation (%)", "Sex ratio (rural)", "Sex ratio (urban)", "Sex ratio (child)" ]
what is highest literacy rate of a group?
[ [ "Hindu", "80.46%", "20.3%", "931", "65.1%", "40.4%", "944", "894", "925" ], [ "Muslim", "13.43%", "29.3%", "936", "59.1%", "31.3%", "953", "907", "950" ], [ "Christian", "2.34%", "22.6%", "1009", "80.3%", "39.7%", "1001", "1026", "964" ], [ "Sikh", "1.87%", "18.2%", "893", "69.4%", "37.7%", "895", "886", "786" ], [ "Buddhist", "0.77%", "18.2%", "953", "72.7%", "40.6%", "958", "944", "942" ], [ "Animist, others", "0.72%", "103.1%", "992", "47.0%", "48.4%", "995", "966", "976" ], [ "Jain", "0.41%", "26.0%", "940", "94.1%", "32.9%", "937", "941", "870" ] ]
[ "94.1%" ]
what is highest literacy rate of a group? ||
nt-973
col : religious group | population % | growth (1991-2001) | sex ratio (total) | literacy (%) | work participation (%) | sex ratio (rural) | sex ratio (urban) | sex ratio (child) row 1 : hindu | 80.46% | 20.3% | 931 | 65.1% | 40.4% | 944 | 894 | 925 row 2 : muslim | 13.43% | 29.3% | 936 | 59.1% | 31.3% | 953 | 907 | 950 row 3 : christian | 2.34% | 22.6% | 1009 | 80.3% | 39.7% | 1001 | 1026 | 964 row 4 : sikh | 1.87% | 18.2% | 893 | 69.4% | 37.7% | 895 | 886 | 786 row 5 : buddhist | 0.77% | 18.2% | 953 | 72.7% | 40.6% | 958 | 944 | 942 row 6 : animist, others | 0.72% | 103.1% | 992 | 47.0% | 48.4% | 995 | 966 | 976 row 7 : jain | 0.41% | 26.0% | 940 | 94.1% | 32.9% | 937 | 941 | 870
table_csv/203_90.csv
1
{ "column_index": [ 0 ], "row_index": [ 6 ] }
[ "what is highest literacy rate of a group?", "what religious group has a 94.1% literacy rate?" ]
0
jain
[ "Religious group", "Population %", "Growth (1991-2001)", "Sex ratio (total)", "Literacy (%)", "Work participation (%)", "Sex ratio (rural)", "Sex ratio (urban)", "Sex ratio (child)" ]
what religious group has a 94.1% literacy rate?
[ [ "Hindu", "80.46%", "20.3%", "931", "65.1%", "40.4%", "944", "894", "925" ], [ "Muslim", "13.43%", "29.3%", "936", "59.1%", "31.3%", "953", "907", "950" ], [ "Christian", "2.34%", "22.6%", "1009", "80.3%", "39.7%", "1001", "1026", "964" ], [ "Sikh", "1.87%", "18.2%", "893", "69.4%", "37.7%", "895", "886", "786" ], [ "Buddhist", "0.77%", "18.2%", "953", "72.7%", "40.6%", "958", "944", "942" ], [ "Animist, others", "0.72%", "103.1%", "992", "47.0%", "48.4%", "995", "966", "976" ], [ "Jain", "0.41%", "26.0%", "940", "94.1%", "32.9%", "937", "941", "870" ] ]
[ "Jain" ]
what religious group has a 94.1% literacy rate? || what is highest literacy rate of a group?
nt-973
col : religious group | population % | growth (1991-2001) | sex ratio (total) | literacy (%) | work participation (%) | sex ratio (rural) | sex ratio (urban) | sex ratio (child) row 1 : hindu | 80.46% | 20.3% | 931 | 65.1% | 40.4% | 944 | 894 | 925 row 2 : muslim | 13.43% | 29.3% | 936 | 59.1% | 31.3% | 953 | 907 | 950 row 3 : christian | 2.34% | 22.6% | 1009 | 80.3% | 39.7% | 1001 | 1026 | 964 row 4 : sikh | 1.87% | 18.2% | 893 | 69.4% | 37.7% | 895 | 886 | 786 row 5 : buddhist | 0.77% | 18.2% | 953 | 72.7% | 40.6% | 958 | 944 | 942 row 6 : animist, others | 0.72% | 103.1% | 992 | 47.0% | 48.4% | 995 | 966 | 976 row 7 : jain | 0.41% | 26.0% | 940 | 94.1% | 32.9% | 937 | 941 | 870
table_csv/203_90.csv
0
{ "column_index": [ 4 ], "row_index": [ 1 ] }
[ "what religious group has the least literacy" ]
1
59.1%
[ "Religious group", "Population %", "Growth (1991-2001)", "Sex ratio (total)", "Literacy (%)", "Work participation (%)", "Sex ratio (rural)", "Sex ratio (urban)", "Sex ratio (child)" ]
what religious group has the least literacy
[ [ "Hindu", "80.46%", "20.3%", "931", "65.1%", "40.4%", "944", "894", "925" ], [ "Muslim", "13.43%", "29.3%", "936", "59.1%", "31.3%", "953", "907", "950" ], [ "Christian", "2.34%", "22.6%", "1009", "80.3%", "39.7%", "1001", "1026", "964" ], [ "Sikh", "1.87%", "18.2%", "893", "69.4%", "37.7%", "895", "886", "786" ], [ "Buddhist", "0.77%", "18.2%", "953", "72.7%", "40.6%", "958", "944", "942" ], [ "Animist, others", "0.72%", "103.1%", "992", "47.0%", "48.4%", "995", "966", "976" ], [ "Jain", "0.41%", "26.0%", "940", "94.1%", "32.9%", "937", "941", "870" ] ]
[ "59.1%" ]
what religious group has the least literacy ||
nt-973
col : religious group | population % | growth (1991-2001) | sex ratio (total) | literacy (%) | work participation (%) | sex ratio (rural) | sex ratio (urban) | sex ratio (child) row 1 : hindu | 80.46% | 20.3% | 931 | 65.1% | 40.4% | 944 | 894 | 925 row 2 : muslim | 13.43% | 29.3% | 936 | 59.1% | 31.3% | 953 | 907 | 950 row 3 : christian | 2.34% | 22.6% | 1009 | 80.3% | 39.7% | 1001 | 1026 | 964 row 4 : sikh | 1.87% | 18.2% | 893 | 69.4% | 37.7% | 895 | 886 | 786 row 5 : buddhist | 0.77% | 18.2% | 953 | 72.7% | 40.6% | 958 | 944 | 942 row 6 : animist, others | 0.72% | 103.1% | 992 | 47.0% | 48.4% | 995 | 966 | 976 row 7 : jain | 0.41% | 26.0% | 940 | 94.1% | 32.9% | 937 | 941 | 870
table_csv/203_90.csv
1
{ "column_index": [ 0 ], "row_index": [ 6 ] }
[ "what religious group has the least literacy", "what religious group had the most literacy" ]
1
jain
[ "Religious group", "Population %", "Growth (1991-2001)", "Sex ratio (total)", "Literacy (%)", "Work participation (%)", "Sex ratio (rural)", "Sex ratio (urban)", "Sex ratio (child)" ]
what religious group had the most literacy
[ [ "Hindu", "80.46%", "20.3%", "931", "65.1%", "40.4%", "944", "894", "925" ], [ "Muslim", "13.43%", "29.3%", "936", "59.1%", "31.3%", "953", "907", "950" ], [ "Christian", "2.34%", "22.6%", "1009", "80.3%", "39.7%", "1001", "1026", "964" ], [ "Sikh", "1.87%", "18.2%", "893", "69.4%", "37.7%", "895", "886", "786" ], [ "Buddhist", "0.77%", "18.2%", "953", "72.7%", "40.6%", "958", "944", "942" ], [ "Animist, others", "0.72%", "103.1%", "992", "47.0%", "48.4%", "995", "966", "976" ], [ "Jain", "0.41%", "26.0%", "940", "94.1%", "32.9%", "937", "941", "870" ] ]
[ "Jain" ]
what religious group had the most literacy || what religious group has the least literacy
nt-973
col : religious group | population % | growth (1991-2001) | sex ratio (total) | literacy (%) | work participation (%) | sex ratio (rural) | sex ratio (urban) | sex ratio (child) row 1 : hindu | 80.46% | 20.3% | 931 | 65.1% | 40.4% | 944 | 894 | 925 row 2 : muslim | 13.43% | 29.3% | 936 | 59.1% | 31.3% | 953 | 907 | 950 row 3 : christian | 2.34% | 22.6% | 1009 | 80.3% | 39.7% | 1001 | 1026 | 964 row 4 : sikh | 1.87% | 18.2% | 893 | 69.4% | 37.7% | 895 | 886 | 786 row 5 : buddhist | 0.77% | 18.2% | 953 | 72.7% | 40.6% | 958 | 944 | 942 row 6 : animist, others | 0.72% | 103.1% | 992 | 47.0% | 48.4% | 995 | 966 | 976 row 7 : jain | 0.41% | 26.0% | 940 | 94.1% | 32.9% | 937 | 941 | 870
table_csv/203_90.csv
0
{ "column_index": [ 0, 0, 0, 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6 ] }
[ "which religious groups are present in india?" ]
2
hindu, muslim, christian, sikh, buddhist, animist, others, jain
[ "Religious group", "Population %", "Growth (1991-2001)", "Sex ratio (total)", "Literacy (%)", "Work participation (%)", "Sex ratio (rural)", "Sex ratio (urban)", "Sex ratio (child)" ]
which religious groups are present in india?
[ [ "Hindu", "80.46%", "20.3%", "931", "65.1%", "40.4%", "944", "894", "925" ], [ "Muslim", "13.43%", "29.3%", "936", "59.1%", "31.3%", "953", "907", "950" ], [ "Christian", "2.34%", "22.6%", "1009", "80.3%", "39.7%", "1001", "1026", "964" ], [ "Sikh", "1.87%", "18.2%", "893", "69.4%", "37.7%", "895", "886", "786" ], [ "Buddhist", "0.77%", "18.2%", "953", "72.7%", "40.6%", "958", "944", "942" ], [ "Animist, others", "0.72%", "103.1%", "992", "47.0%", "48.4%", "995", "966", "976" ], [ "Jain", "0.41%", "26.0%", "940", "94.1%", "32.9%", "937", "941", "870" ] ]
[ "Hindu", "Muslim", "Christian", "Sikh", "Buddhist", "Animist, others", "Jain" ]
which religious groups are present in india? ||
nt-973
col : religious group | population % | growth (1991-2001) | sex ratio (total) | literacy (%) | work participation (%) | sex ratio (rural) | sex ratio (urban) | sex ratio (child) row 1 : hindu | 80.46% | 20.3% | 931 | 65.1% | 40.4% | 944 | 894 | 925 row 2 : muslim | 13.43% | 29.3% | 936 | 59.1% | 31.3% | 953 | 907 | 950 row 3 : christian | 2.34% | 22.6% | 1009 | 80.3% | 39.7% | 1001 | 1026 | 964 row 4 : sikh | 1.87% | 18.2% | 893 | 69.4% | 37.7% | 895 | 886 | 786 row 5 : buddhist | 0.77% | 18.2% | 953 | 72.7% | 40.6% | 958 | 944 | 942 row 6 : animist, others | 0.72% | 103.1% | 992 | 47.0% | 48.4% | 995 | 966 | 976 row 7 : jain | 0.41% | 26.0% | 940 | 94.1% | 32.9% | 937 | 941 | 870
table_csv/203_90.csv
1
{ "column_index": [ 0, 0, 0 ], "row_index": [ 2, 4, 6 ] }
[ "which religious groups are present in india?", "of those, which have a literacy rate of at least 70%?" ]
2
christian, buddhist, jain
[ "Religious group", "Population %", "Growth (1991-2001)", "Sex ratio (total)", "Literacy (%)", "Work participation (%)", "Sex ratio (rural)", "Sex ratio (urban)", "Sex ratio (child)" ]
of those, which have a literacy rate of at least 70%?
[ [ "Hindu", "80.46%", "20.3%", "931", "65.1%", "40.4%", "944", "894", "925" ], [ "Muslim", "13.43%", "29.3%", "936", "59.1%", "31.3%", "953", "907", "950" ], [ "Christian", "2.34%", "22.6%", "1009", "80.3%", "39.7%", "1001", "1026", "964" ], [ "Sikh", "1.87%", "18.2%", "893", "69.4%", "37.7%", "895", "886", "786" ], [ "Buddhist", "0.77%", "18.2%", "953", "72.7%", "40.6%", "958", "944", "942" ], [ "Animist, others", "0.72%", "103.1%", "992", "47.0%", "48.4%", "995", "966", "976" ], [ "Jain", "0.41%", "26.0%", "940", "94.1%", "32.9%", "937", "941", "870" ] ]
[ "Christian", "Buddhist", "Jain" ]
of those, which have a literacy rate of at least 70%? || which religious groups are present in india?
nt-973
col : religious group | population % | growth (1991-2001) | sex ratio (total) | literacy (%) | work participation (%) | sex ratio (rural) | sex ratio (urban) | sex ratio (child) row 1 : hindu | 80.46% | 20.3% | 931 | 65.1% | 40.4% | 944 | 894 | 925 row 2 : muslim | 13.43% | 29.3% | 936 | 59.1% | 31.3% | 953 | 907 | 950 row 3 : christian | 2.34% | 22.6% | 1009 | 80.3% | 39.7% | 1001 | 1026 | 964 row 4 : sikh | 1.87% | 18.2% | 893 | 69.4% | 37.7% | 895 | 886 | 786 row 5 : buddhist | 0.77% | 18.2% | 953 | 72.7% | 40.6% | 958 | 944 | 942 row 6 : animist, others | 0.72% | 103.1% | 992 | 47.0% | 48.4% | 995 | 966 | 976 row 7 : jain | 0.41% | 26.0% | 940 | 94.1% | 32.9% | 937 | 941 | 870
table_csv/203_90.csv
2
{ "column_index": [ 0 ], "row_index": [ 6 ] }
[ "which religious groups are present in india?", "of those, which have a literacy rate of at least 70%?", "which of these has a literacy rate above 90%?" ]
2
jain
[ "Religious group", "Population %", "Growth (1991-2001)", "Sex ratio (total)", "Literacy (%)", "Work participation (%)", "Sex ratio (rural)", "Sex ratio (urban)", "Sex ratio (child)" ]
which of these has a literacy rate above 90%?
[ [ "Hindu", "80.46%", "20.3%", "931", "65.1%", "40.4%", "944", "894", "925" ], [ "Muslim", "13.43%", "29.3%", "936", "59.1%", "31.3%", "953", "907", "950" ], [ "Christian", "2.34%", "22.6%", "1009", "80.3%", "39.7%", "1001", "1026", "964" ], [ "Sikh", "1.87%", "18.2%", "893", "69.4%", "37.7%", "895", "886", "786" ], [ "Buddhist", "0.77%", "18.2%", "953", "72.7%", "40.6%", "958", "944", "942" ], [ "Animist, others", "0.72%", "103.1%", "992", "47.0%", "48.4%", "995", "966", "976" ], [ "Jain", "0.41%", "26.0%", "940", "94.1%", "32.9%", "937", "941", "870" ] ]
[ "Jain" ]
which of these has a literacy rate above 90%? || of those, which have a literacy rate of at least 70%? | which religious groups are present in india?
nt-2184
col : name | party | took office | left office row 1 : glenlyon campbell | conservative | 1903 | 1908 row 2 : duncan cameron | conservative | 1908 | 1910 row 3 : sam hughes | conservative | 1910 | 1915 row 4 : william findlater | liberal | 1915 | 1922 row 5 : arthur berry | progressive | 1922 | 1932 row 6 : nan | liberal-progressive | 1932 | 1936 row 7 : stanley fox | social credit | 1936 | 1940 row 8 : nan | social credit (coalition) | 1940 | 1949 row 9 : ray mitchell | liberal-progressive | 1949 | 1958
table_csv/203_345.csv
0
{ "column_index": [ 1, 1, 1 ], "row_index": [ 3, 5, 8 ] }
[ "what representatives are in the liberal party?" ]
0
liberal, liberal-progressive, liberal-progressive
[ "Name", "Party", "Took Office", "Left Office" ]
what representatives are in the liberal party?
[ [ "Glenlyon Campbell", "Conservative", "1903", "1908" ], [ "Duncan Cameron", "Conservative", "1908", "1910" ], [ "Sam Hughes", "Conservative", "1910", "1915" ], [ "William Findlater", "Liberal", "1915", "1922" ], [ "Arthur Berry", "Progressive", "1922", "1932" ], [ "nan", "Liberal-Progressive", "1932", "1936" ], [ "Stanley Fox", "Social Credit", "1936", "1940" ], [ "nan", "Social Credit (Coalition)", "1940", "1949" ], [ "Ray Mitchell", "Liberal-Progressive", "1949", "1958" ] ]
[ "Liberal", "Liberal-Progressive", "Liberal-Progressive" ]
what representatives are in the liberal party? ||
nt-2184
col : name | party | took office | left office row 1 : glenlyon campbell | conservative | 1903 | 1908 row 2 : duncan cameron | conservative | 1908 | 1910 row 3 : sam hughes | conservative | 1910 | 1915 row 4 : william findlater | liberal | 1915 | 1922 row 5 : arthur berry | progressive | 1922 | 1932 row 6 : nan | liberal-progressive | 1932 | 1936 row 7 : stanley fox | social credit | 1936 | 1940 row 8 : nan | social credit (coalition) | 1940 | 1949 row 9 : ray mitchell | liberal-progressive | 1949 | 1958
table_csv/203_345.csv
1
{ "column_index": [ 0 ], "row_index": [ 3 ] }
[ "what representatives are in the liberal party?", "which of these is not a liberal-progressive?" ]
0
william findlater
[ "Name", "Party", "Took Office", "Left Office" ]
which of these is not a liberal-progressive?
[ [ "Glenlyon Campbell", "Conservative", "1903", "1908" ], [ "Duncan Cameron", "Conservative", "1908", "1910" ], [ "Sam Hughes", "Conservative", "1910", "1915" ], [ "William Findlater", "Liberal", "1915", "1922" ], [ "Arthur Berry", "Progressive", "1922", "1932" ], [ "nan", "Liberal-Progressive", "1932", "1936" ], [ "Stanley Fox", "Social Credit", "1936", "1940" ], [ "nan", "Social Credit (Coalition)", "1940", "1949" ], [ "Ray Mitchell", "Liberal-Progressive", "1949", "1958" ] ]
[ "William Findlater" ]
which of these is not a liberal-progressive? || what representatives are in the liberal party?
nt-2184
col : name | party | took office | left office row 1 : glenlyon campbell | conservative | 1903 | 1908 row 2 : duncan cameron | conservative | 1908 | 1910 row 3 : sam hughes | conservative | 1910 | 1915 row 4 : william findlater | liberal | 1915 | 1922 row 5 : arthur berry | progressive | 1922 | 1932 row 6 : nan | liberal-progressive | 1932 | 1936 row 7 : stanley fox | social credit | 1936 | 1940 row 8 : nan | social credit (coalition) | 1940 | 1949 row 9 : ray mitchell | liberal-progressive | 1949 | 1958
table_csv/203_345.csv
0
{ "column_index": [ 0, 0, 0, 0, 0, 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8 ] }
[ "who are the representatives?" ]
1
glenlyon campbell, duncan cameron, sam hughes, william findlater, arthur berry, , stanley fox, , ray mitchell
[ "Name", "Party", "Took Office", "Left Office" ]
who are the representatives?
[ [ "Glenlyon Campbell", "Conservative", "1903", "1908" ], [ "Duncan Cameron", "Conservative", "1908", "1910" ], [ "Sam Hughes", "Conservative", "1910", "1915" ], [ "William Findlater", "Liberal", "1915", "1922" ], [ "Arthur Berry", "Progressive", "1922", "1932" ], [ "nan", "Liberal-Progressive", "1932", "1936" ], [ "Stanley Fox", "Social Credit", "1936", "1940" ], [ "nan", "Social Credit (Coalition)", "1940", "1949" ], [ "Ray Mitchell", "Liberal-Progressive", "1949", "1958" ] ]
[ "Glenlyon Campbell", "Duncan Cameron", "Sam Hughes", "William Findlater", "Arthur Berry", "", "Stanley Fox", "", "Ray Mitchell" ]
who are the representatives? ||
nt-2184
col : name | party | took office | left office row 1 : glenlyon campbell | conservative | 1903 | 1908 row 2 : duncan cameron | conservative | 1908 | 1910 row 3 : sam hughes | conservative | 1910 | 1915 row 4 : william findlater | liberal | 1915 | 1922 row 5 : arthur berry | progressive | 1922 | 1932 row 6 : nan | liberal-progressive | 1932 | 1936 row 7 : stanley fox | social credit | 1936 | 1940 row 8 : nan | social credit (coalition) | 1940 | 1949 row 9 : ray mitchell | liberal-progressive | 1949 | 1958
table_csv/203_345.csv
1
{ "column_index": [ 0, 0, 0 ], "row_index": [ 3, 5, 8 ] }
[ "who are the representatives?", "which of them are part of the liberal party?" ]
1
william findlater, , ray mitchell
[ "Name", "Party", "Took Office", "Left Office" ]
which of them are part of the liberal party?
[ [ "Glenlyon Campbell", "Conservative", "1903", "1908" ], [ "Duncan Cameron", "Conservative", "1908", "1910" ], [ "Sam Hughes", "Conservative", "1910", "1915" ], [ "William Findlater", "Liberal", "1915", "1922" ], [ "Arthur Berry", "Progressive", "1922", "1932" ], [ "nan", "Liberal-Progressive", "1932", "1936" ], [ "Stanley Fox", "Social Credit", "1936", "1940" ], [ "nan", "Social Credit (Coalition)", "1940", "1949" ], [ "Ray Mitchell", "Liberal-Progressive", "1949", "1958" ] ]
[ "William Findlater", "", "Ray Mitchell" ]
which of them are part of the liberal party? || who are the representatives?
nt-2184
col : name | party | took office | left office row 1 : glenlyon campbell | conservative | 1903 | 1908 row 2 : duncan cameron | conservative | 1908 | 1910 row 3 : sam hughes | conservative | 1910 | 1915 row 4 : william findlater | liberal | 1915 | 1922 row 5 : arthur berry | progressive | 1922 | 1932 row 6 : nan | liberal-progressive | 1932 | 1936 row 7 : stanley fox | social credit | 1936 | 1940 row 8 : nan | social credit (coalition) | 1940 | 1949 row 9 : ray mitchell | liberal-progressive | 1949 | 1958
table_csv/203_345.csv
2
{ "column_index": [ 0 ], "row_index": [ 3 ] }
[ "who are the representatives?", "which of them are part of the liberal party?", "of those, who took office for 7 years?" ]
1
william findlater
[ "Name", "Party", "Took Office", "Left Office" ]
of those, who took office for 7 years?
[ [ "Glenlyon Campbell", "Conservative", "1903", "1908" ], [ "Duncan Cameron", "Conservative", "1908", "1910" ], [ "Sam Hughes", "Conservative", "1910", "1915" ], [ "William Findlater", "Liberal", "1915", "1922" ], [ "Arthur Berry", "Progressive", "1922", "1932" ], [ "nan", "Liberal-Progressive", "1932", "1936" ], [ "Stanley Fox", "Social Credit", "1936", "1940" ], [ "nan", "Social Credit (Coalition)", "1940", "1949" ], [ "Ray Mitchell", "Liberal-Progressive", "1949", "1958" ] ]
[ "William Findlater" ]
of those, who took office for 7 years? || which of them are part of the liberal party? | who are the representatives?
nt-2184
col : name | party | took office | left office row 1 : glenlyon campbell | conservative | 1903 | 1908 row 2 : duncan cameron | conservative | 1908 | 1910 row 3 : sam hughes | conservative | 1910 | 1915 row 4 : william findlater | liberal | 1915 | 1922 row 5 : arthur berry | progressive | 1922 | 1932 row 6 : nan | liberal-progressive | 1932 | 1936 row 7 : stanley fox | social credit | 1936 | 1940 row 8 : nan | social credit (coalition) | 1940 | 1949 row 9 : ray mitchell | liberal-progressive | 1949 | 1958
table_csv/203_345.csv
0
{ "column_index": [ 0, 0, 0, 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 3, 4, 6, 8 ] }
[ "who are all the representatives?" ]
2
glenlyon campbell, duncan cameron, sam hughes, william findlater, arthur berry, stanley fox, ray mitchell
[ "Name", "Party", "Took Office", "Left Office" ]
who are all the representatives?
[ [ "Glenlyon Campbell", "Conservative", "1903", "1908" ], [ "Duncan Cameron", "Conservative", "1908", "1910" ], [ "Sam Hughes", "Conservative", "1910", "1915" ], [ "William Findlater", "Liberal", "1915", "1922" ], [ "Arthur Berry", "Progressive", "1922", "1932" ], [ "nan", "Liberal-Progressive", "1932", "1936" ], [ "Stanley Fox", "Social Credit", "1936", "1940" ], [ "nan", "Social Credit (Coalition)", "1940", "1949" ], [ "Ray Mitchell", "Liberal-Progressive", "1949", "1958" ] ]
[ "Glenlyon Campbell", "Duncan Cameron", "Sam Hughes", "William Findlater", "Arthur Berry", "Stanley Fox", "Ray Mitchell" ]
who are all the representatives? ||
nt-2184
col : name | party | took office | left office row 1 : glenlyon campbell | conservative | 1903 | 1908 row 2 : duncan cameron | conservative | 1908 | 1910 row 3 : sam hughes | conservative | 1910 | 1915 row 4 : william findlater | liberal | 1915 | 1922 row 5 : arthur berry | progressive | 1922 | 1932 row 6 : nan | liberal-progressive | 1932 | 1936 row 7 : stanley fox | social credit | 1936 | 1940 row 8 : nan | social credit (coalition) | 1940 | 1949 row 9 : ray mitchell | liberal-progressive | 1949 | 1958
table_csv/203_345.csv
1
{ "column_index": [ 0, 0, 0, 0, 0, 0 ], "row_index": [ 3, 4, 5, 6, 7, 8 ] }
[ "who are all the representatives?", "which of these are liberal?" ]
2
william findlater, arthur berry, , stanley fox, , ray mitchell
[ "Name", "Party", "Took Office", "Left Office" ]
which of these are liberal?
[ [ "Glenlyon Campbell", "Conservative", "1903", "1908" ], [ "Duncan Cameron", "Conservative", "1908", "1910" ], [ "Sam Hughes", "Conservative", "1910", "1915" ], [ "William Findlater", "Liberal", "1915", "1922" ], [ "Arthur Berry", "Progressive", "1922", "1932" ], [ "nan", "Liberal-Progressive", "1932", "1936" ], [ "Stanley Fox", "Social Credit", "1936", "1940" ], [ "nan", "Social Credit (Coalition)", "1940", "1949" ], [ "Ray Mitchell", "Liberal-Progressive", "1949", "1958" ] ]
[ "William Findlater", "Arthur Berry", "", "Stanley Fox", "", "Ray Mitchell" ]
which of these are liberal? || who are all the representatives?