id stringlengths 4 8 | struct_in stringlengths 301 4.09k | table_file stringlengths 19 21 | position int64 0 7 | answer_coordinates dict | question_and_history list | annotator int64 0 2 | seq_out stringlengths 1 1.73k | table_header list | question stringlengths 10 291 | table_data list | answer_text list | text_in stringlengths 19 565 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
nt-5485 | col : date | opponent# | rank# | site | result | attendance row 1 : september 12 | #1 michigan | nan | camp randall stadium * madison, wi | w 21-14 | 68,733 row 2 : september 19 | #9 ucla* | #20 | camp randall stadium * madison, wi | l 13-31 | 71,496 row 3 : september 26 | western michigan* | nan | camp randall stadium... | table_csv/204_180.csv | 1 | {
"column_index": [
5
],
"row_index": [
4
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} | [
"what was the attendance of each game?",
"what attendance was highest?"
] | 1 | 78,973 | [
"Date",
"Opponent#",
"Rank#",
"Site",
"Result",
"Attendance"
] | what attendance was highest? | [
[
"September 12",
"#1 Michigan",
"nan",
"Camp Randall Stadium * Madison, WI",
"W 21-14",
"68,733"
],
[
"September 19",
"#9 UCLA*",
"#20",
"Camp Randall Stadium * Madison, WI",
"L 13-31",
"71,496"
],
[
"September 26",
"Western Michigan*",
"nan",
... | [
"78,973"
] | what attendance was highest? || what was the attendance of each game? |
nt-5485 | col : date | opponent# | rank# | site | result | attendance row 1 : september 12 | #1 michigan | nan | camp randall stadium * madison, wi | w 21-14 | 68,733 row 2 : september 19 | #9 ucla* | #20 | camp randall stadium * madison, wi | l 13-31 | 71,496 row 3 : september 26 | western michigan* | nan | camp randall stadium... | table_csv/204_180.csv | 0 | {
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} | [
"what were the number of all attendances?"
] | 2 | 68,733, 71,496, 67,196, 68,603, 78,973, 67,352, 67,413, 70,035, 44,218, 78,731, 47,125, 53,220 | [
"Date",
"Opponent#",
"Rank#",
"Site",
"Result",
"Attendance"
] | what were the number of all attendances? | [
[
"September 12",
"#1 Michigan",
"nan",
"Camp Randall Stadium * Madison, WI",
"W 21-14",
"68,733"
],
[
"September 19",
"#9 UCLA*",
"#20",
"Camp Randall Stadium * Madison, WI",
"L 13-31",
"71,496"
],
[
"September 26",
"Western Michigan*",
"nan",
... | [
"68,733",
"71,496",
"67,196",
"68,603",
"78,973",
"67,352",
"67,413",
"70,035",
"44,218",
"78,731",
"47,125",
"53,220"
] | what were the number of all attendances? || |
nt-5485 | col : date | opponent# | rank# | site | result | attendance row 1 : september 12 | #1 michigan | nan | camp randall stadium * madison, wi | w 21-14 | 68,733 row 2 : september 19 | #9 ucla* | #20 | camp randall stadium * madison, wi | l 13-31 | 71,496 row 3 : september 26 | western michigan* | nan | camp randall stadium... | table_csv/204_180.csv | 1 | {
"column_index": [
5
],
"row_index": [
4
]
} | [
"what were the number of all attendances?",
"which one is the largest?"
] | 2 | 78,973 | [
"Date",
"Opponent#",
"Rank#",
"Site",
"Result",
"Attendance"
] | which one is the largest? | [
[
"September 12",
"#1 Michigan",
"nan",
"Camp Randall Stadium * Madison, WI",
"W 21-14",
"68,733"
],
[
"September 19",
"#9 UCLA*",
"#20",
"Camp Randall Stadium * Madison, WI",
"L 13-31",
"71,496"
],
[
"September 26",
"Western Michigan*",
"nan",
... | [
"78,973"
] | which one is the largest? || what were the number of all attendances? |
ns-2821 | col : year | domestic passengers | international passengers | total passengers | change row 1 : 2006 | 764,831 | 83,115 | 847,946 | +4.6% row 2 : 2007 | 764,674 | 75,276 | 839,950 | -0.9% row 3 : 2008 | 709,779 | 92,176 | 801,955 | -4.5% row 4 : 2009 | 605,534 | 82,424 | 687,958 | -14.3% row 5 : 2010 | 595,457 | 105,11... | table_csv/203_396.csv | 0 | {
"column_index": [
3
],
"row_index": [
3
]
} | [
"how many total passengers were in 2009?"
] | 0 | 687,958 | [
"Year",
"Domestic passengers",
"International passengers",
"Total passengers",
"Change"
] | how many total passengers were in 2009? | [
[
"2006",
"764,831",
"83,115",
"847,946",
"+4.6%"
],
[
"2007",
"764,674",
"75,276",
"839,950",
"-0.9%"
],
[
"2008",
"709,779",
"92,176",
"801,955",
"-4.5%"
],
[
"2009",
"605,534",
"82,424",
"687,958",
"-14.3%"
],
[
"... | [
"687,958"
] | how many total passengers were in 2009? || |
ns-2821 | col : year | domestic passengers | international passengers | total passengers | change row 1 : 2006 | 764,831 | 83,115 | 847,946 | +4.6% row 2 : 2007 | 764,674 | 75,276 | 839,950 | -0.9% row 3 : 2008 | 709,779 | 92,176 | 801,955 | -4.5% row 4 : 2009 | 605,534 | 82,424 | 687,958 | -14.3% row 5 : 2010 | 595,457 | 105,11... | table_csv/203_396.csv | 1 | {
"column_index": [
1
],
"row_index": [
3
]
} | [
"how many total passengers were in 2009?",
"how many of those were domestic?"
] | 0 | 605,534 | [
"Year",
"Domestic passengers",
"International passengers",
"Total passengers",
"Change"
] | how many of those were domestic? | [
[
"2006",
"764,831",
"83,115",
"847,946",
"+4.6%"
],
[
"2007",
"764,674",
"75,276",
"839,950",
"-0.9%"
],
[
"2008",
"709,779",
"92,176",
"801,955",
"-4.5%"
],
[
"2009",
"605,534",
"82,424",
"687,958",
"-14.3%"
],
[
"... | [
"605,534"
] | how many of those were domestic? || how many total passengers were in 2009? |
ns-2821 | col : year | domestic passengers | international passengers | total passengers | change row 1 : 2006 | 764,831 | 83,115 | 847,946 | +4.6% row 2 : 2007 | 764,674 | 75,276 | 839,950 | -0.9% row 3 : 2008 | 709,779 | 92,176 | 801,955 | -4.5% row 4 : 2009 | 605,534 | 82,424 | 687,958 | -14.3% row 5 : 2010 | 595,457 | 105,11... | table_csv/203_396.csv | 0 | {
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0
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0,
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6,
7
]
} | [
"which years are listed?"
] | 1 | 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013 | [
"Year",
"Domestic passengers",
"International passengers",
"Total passengers",
"Change"
] | which years are listed? | [
[
"2006",
"764,831",
"83,115",
"847,946",
"+4.6%"
],
[
"2007",
"764,674",
"75,276",
"839,950",
"-0.9%"
],
[
"2008",
"709,779",
"92,176",
"801,955",
"-4.5%"
],
[
"2009",
"605,534",
"82,424",
"687,958",
"-14.3%"
],
[
"... | [
"2006",
"2007",
"2008",
"2009",
"2010",
"2011",
"2012",
"2013"
] | which years are listed? || |
ns-2821 | col : year | domestic passengers | international passengers | total passengers | change row 1 : 2006 | 764,831 | 83,115 | 847,946 | +4.6% row 2 : 2007 | 764,674 | 75,276 | 839,950 | -0.9% row 3 : 2008 | 709,779 | 92,176 | 801,955 | -4.5% row 4 : 2009 | 605,534 | 82,424 | 687,958 | -14.3% row 5 : 2010 | 595,457 | 105,11... | table_csv/203_396.csv | 1 | {
"column_index": [
1,
1,
1,
1,
1,
1,
1,
1
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7
]
} | [
"which years are listed?",
"how many domestic passengers did they service?"
] | 1 | 764,831, 764,674, 709,779, 605,534, 595,457, 850,305, 899 854, 745,178 | [
"Year",
"Domestic passengers",
"International passengers",
"Total passengers",
"Change"
] | how many domestic passengers did they service? | [
[
"2006",
"764,831",
"83,115",
"847,946",
"+4.6%"
],
[
"2007",
"764,674",
"75,276",
"839,950",
"-0.9%"
],
[
"2008",
"709,779",
"92,176",
"801,955",
"-4.5%"
],
[
"2009",
"605,534",
"82,424",
"687,958",
"-14.3%"
],
[
"... | [
"764,831",
"764,674",
"709,779",
"605,534",
"595,457",
"850,305",
"899 854",
"745,178"
] | how many domestic passengers did they service? || which years are listed? |
ns-2821 | col : year | domestic passengers | international passengers | total passengers | change row 1 : 2006 | 764,831 | 83,115 | 847,946 | +4.6% row 2 : 2007 | 764,674 | 75,276 | 839,950 | -0.9% row 3 : 2008 | 709,779 | 92,176 | 801,955 | -4.5% row 4 : 2009 | 605,534 | 82,424 | 687,958 | -14.3% row 5 : 2010 | 595,457 | 105,11... | table_csv/203_396.csv | 2 | {
"column_index": [
1
],
"row_index": [
3
]
} | [
"which years are listed?",
"how many domestic passengers did they service?",
"how many in just 2009?"
] | 1 | 605,534 | [
"Year",
"Domestic passengers",
"International passengers",
"Total passengers",
"Change"
] | how many in just 2009? | [
[
"2006",
"764,831",
"83,115",
"847,946",
"+4.6%"
],
[
"2007",
"764,674",
"75,276",
"839,950",
"-0.9%"
],
[
"2008",
"709,779",
"92,176",
"801,955",
"-4.5%"
],
[
"2009",
"605,534",
"82,424",
"687,958",
"-14.3%"
],
[
"... | [
"605,534"
] | how many in just 2009? || how many domestic passengers did they service? | which years are listed? |
ns-2821 | col : year | domestic passengers | international passengers | total passengers | change row 1 : 2006 | 764,831 | 83,115 | 847,946 | +4.6% row 2 : 2007 | 764,674 | 75,276 | 839,950 | -0.9% row 3 : 2008 | 709,779 | 92,176 | 801,955 | -4.5% row 4 : 2009 | 605,534 | 82,424 | 687,958 | -14.3% row 5 : 2010 | 595,457 | 105,11... | table_csv/203_396.csv | 0 | {
"column_index": [
0,
1,
2,
3,
4
],
"row_index": [
3,
3,
3,
3,
3
]
} | [
"what information is available about the year 2009?"
] | 2 | 2009, 605,534, 82,424, 687,958, -14.3% | [
"Year",
"Domestic passengers",
"International passengers",
"Total passengers",
"Change"
] | what information is available about the year 2009? | [
[
"2006",
"764,831",
"83,115",
"847,946",
"+4.6%"
],
[
"2007",
"764,674",
"75,276",
"839,950",
"-0.9%"
],
[
"2008",
"709,779",
"92,176",
"801,955",
"-4.5%"
],
[
"2009",
"605,534",
"82,424",
"687,958",
"-14.3%"
],
[
"... | [
"2009",
"605,534",
"82,424",
"687,958",
"-14.3%"
] | what information is available about the year 2009? || |
ns-2821 | col : year | domestic passengers | international passengers | total passengers | change row 1 : 2006 | 764,831 | 83,115 | 847,946 | +4.6% row 2 : 2007 | 764,674 | 75,276 | 839,950 | -0.9% row 3 : 2008 | 709,779 | 92,176 | 801,955 | -4.5% row 4 : 2009 | 605,534 | 82,424 | 687,958 | -14.3% row 5 : 2010 | 595,457 | 105,11... | table_csv/203_396.csv | 1 | {
"column_index": [
1
],
"row_index": [
3
]
} | [
"what information is available about the year 2009?",
"how many domestic passengers were there then?"
] | 2 | 605,534 | [
"Year",
"Domestic passengers",
"International passengers",
"Total passengers",
"Change"
] | how many domestic passengers were there then? | [
[
"2006",
"764,831",
"83,115",
"847,946",
"+4.6%"
],
[
"2007",
"764,674",
"75,276",
"839,950",
"-0.9%"
],
[
"2008",
"709,779",
"92,176",
"801,955",
"-4.5%"
],
[
"2009",
"605,534",
"82,424",
"687,958",
"-14.3%"
],
[
"... | [
"605,534"
] | how many domestic passengers were there then? || what information is available about the year 2009? |
nt-4286 | col : terminal | operator | depth (m) | berths | quay length (m) | quay cranes | area (m2) | capacity (kteus) row 1 : terminal 1 (ct1) | mtl | 14 | 1 | nan | 4 | nan | nan row 2 : terminal 2 (ct2) | mtl | 14 | 1 | nan | 5 | nan | nan row 3 : terminal 3 (ct3) | dpi | 14 | 1 | 305 | 6 | 167,000 | >1,200 row 4 : terminal ... | table_csv/203_196.csv | 0 | {
"column_index": [
0,
0,
0,
0
],
"row_index": [
0,
1,
4,
10
]
} | [
"which of these terminals uses an mtl operator?"
] | 0 | terminal 1 (ct1), terminal 2 (ct2), terminal 5 (ct5), terminal 9 south (ct9s) | [
"Terminal",
"Operator",
"Depth (m)",
"Berths",
"Quay length (m)",
"Quay cranes",
"Area (m2)",
"Capacity (kTEUs)"
] | which of these terminals uses an mtl operator? | [
[
"Terminal 1 (CT1)",
"MTL",
"14",
"1",
"nan",
"4",
"nan",
"nan"
],
[
"Terminal 2 (CT2)",
"MTL",
"14",
"1",
"nan",
"5",
"nan",
"nan"
],
[
"Terminal 3 (CT3)",
"DPI",
"14",
"1",
"305",
"6",
"167,000",
">1,200"
],... | [
"Terminal 1 (CT1)",
"Terminal 2 (CT2)",
"Terminal 5 (CT5)",
"Terminal 9 South (CT9S)"
] | which of these terminals uses an mtl operator? || |
nt-4286 | col : terminal | operator | depth (m) | berths | quay length (m) | quay cranes | area (m2) | capacity (kteus) row 1 : terminal 1 (ct1) | mtl | 14 | 1 | nan | 4 | nan | nan row 2 : terminal 2 (ct2) | mtl | 14 | 1 | nan | 5 | nan | nan row 3 : terminal 3 (ct3) | dpi | 14 | 1 | 305 | 6 | 167,000 | >1,200 row 4 : terminal ... | table_csv/203_196.csv | 1 | {
"column_index": [
0
],
"row_index": [
10
]
} | [
"which of these terminals uses an mtl operator?",
"of these terminals, which has a depth greater than 14 meters?"
] | 0 | terminal 9 south (ct9s) | [
"Terminal",
"Operator",
"Depth (m)",
"Berths",
"Quay length (m)",
"Quay cranes",
"Area (m2)",
"Capacity (kTEUs)"
] | of these terminals, which has a depth greater than 14 meters? | [
[
"Terminal 1 (CT1)",
"MTL",
"14",
"1",
"nan",
"4",
"nan",
"nan"
],
[
"Terminal 2 (CT2)",
"MTL",
"14",
"1",
"nan",
"5",
"nan",
"nan"
],
[
"Terminal 3 (CT3)",
"DPI",
"14",
"1",
"305",
"6",
"167,000",
">1,200"
],... | [
"Terminal 9 South (CT9S)"
] | of these terminals, which has a depth greater than 14 meters? || which of these terminals uses an mtl operator? |
nt-4286 | col : terminal | operator | depth (m) | berths | quay length (m) | quay cranes | area (m2) | capacity (kteus) row 1 : terminal 1 (ct1) | mtl | 14 | 1 | nan | 4 | nan | nan row 2 : terminal 2 (ct2) | mtl | 14 | 1 | nan | 5 | nan | nan row 3 : terminal 3 (ct3) | dpi | 14 | 1 | 305 | 6 | 167,000 | >1,200 row 4 : terminal ... | table_csv/203_196.csv | 0 | {
"column_index": [
0
],
"row_index": [
5
]
} | [
"which terminal was 12.5-15.5m in depth?"
] | 1 | terminal 6 (ct6) | [
"Terminal",
"Operator",
"Depth (m)",
"Berths",
"Quay length (m)",
"Quay cranes",
"Area (m2)",
"Capacity (kTEUs)"
] | which terminal was 12.5-15.5m in depth? | [
[
"Terminal 1 (CT1)",
"MTL",
"14",
"1",
"nan",
"4",
"nan",
"nan"
],
[
"Terminal 2 (CT2)",
"MTL",
"14",
"1",
"nan",
"5",
"nan",
"nan"
],
[
"Terminal 3 (CT3)",
"DPI",
"14",
"1",
"305",
"6",
"167,000",
">1,200"
],... | [
"Terminal 6 (CT6)"
] | which terminal was 12.5-15.5m in depth? || |
nt-4286 | col : terminal | operator | depth (m) | berths | quay length (m) | quay cranes | area (m2) | capacity (kteus) row 1 : terminal 1 (ct1) | mtl | 14 | 1 | nan | 4 | nan | nan row 2 : terminal 2 (ct2) | mtl | 14 | 1 | nan | 5 | nan | nan row 3 : terminal 3 (ct3) | dpi | 14 | 1 | 305 | 6 | 167,000 | >1,200 row 4 : terminal ... | table_csv/203_196.csv | 1 | {
"column_index": [
0
],
"row_index": [
2
]
} | [
"which terminal was 12.5-15.5m in depth?",
"which terminal shorter quay length than terminal 8 west?"
] | 1 | terminal 3 (ct3) | [
"Terminal",
"Operator",
"Depth (m)",
"Berths",
"Quay length (m)",
"Quay cranes",
"Area (m2)",
"Capacity (kTEUs)"
] | which terminal shorter quay length than terminal 8 west? | [
[
"Terminal 1 (CT1)",
"MTL",
"14",
"1",
"nan",
"4",
"nan",
"nan"
],
[
"Terminal 2 (CT2)",
"MTL",
"14",
"1",
"nan",
"5",
"nan",
"nan"
],
[
"Terminal 3 (CT3)",
"DPI",
"14",
"1",
"305",
"6",
"167,000",
">1,200"
],... | [
"Terminal 3 (CT3)"
] | which terminal shorter quay length than terminal 8 west? || which terminal was 12.5-15.5m in depth? |
nt-4286 | col : terminal | operator | depth (m) | berths | quay length (m) | quay cranes | area (m2) | capacity (kteus) row 1 : terminal 1 (ct1) | mtl | 14 | 1 | nan | 4 | nan | nan row 2 : terminal 2 (ct2) | mtl | 14 | 1 | nan | 5 | nan | nan row 3 : terminal 3 (ct3) | dpi | 14 | 1 | 305 | 6 | 167,000 | >1,200 row 4 : terminal ... | table_csv/203_196.csv | 2 | {
"column_index": [
0
],
"row_index": [
10
]
} | [
"which terminal was 12.5-15.5m in depth?",
"which terminal shorter quay length than terminal 8 west?",
"which terminal was longer than terminal 8 west in quay length?"
] | 1 | terminal 9 south (ct9s) | [
"Terminal",
"Operator",
"Depth (m)",
"Berths",
"Quay length (m)",
"Quay cranes",
"Area (m2)",
"Capacity (kTEUs)"
] | which terminal was longer than terminal 8 west in quay length? | [
[
"Terminal 1 (CT1)",
"MTL",
"14",
"1",
"nan",
"4",
"nan",
"nan"
],
[
"Terminal 2 (CT2)",
"MTL",
"14",
"1",
"nan",
"5",
"nan",
"nan"
],
[
"Terminal 3 (CT3)",
"DPI",
"14",
"1",
"305",
"6",
"167,000",
">1,200"
],... | [
"Terminal 9 South (CT9S)"
] | which terminal was longer than terminal 8 west in quay length? || which terminal shorter quay length than terminal 8 west? | which terminal was 12.5-15.5m in depth? |
nt-4286 | col : terminal | operator | depth (m) | berths | quay length (m) | quay cranes | area (m2) | capacity (kteus) row 1 : terminal 1 (ct1) | mtl | 14 | 1 | nan | 4 | nan | nan row 2 : terminal 2 (ct2) | mtl | 14 | 1 | nan | 5 | nan | nan row 3 : terminal 3 (ct3) | dpi | 14 | 1 | 305 | 6 | 167,000 | >1,200 row 4 : terminal ... | table_csv/203_196.csv | 0 | {
"column_index": [
4
],
"row_index": [
8
]
} | [
"how long was terminal 8 west (in quay length)?"
] | 2 | 740 | [
"Terminal",
"Operator",
"Depth (m)",
"Berths",
"Quay length (m)",
"Quay cranes",
"Area (m2)",
"Capacity (kTEUs)"
] | how long was terminal 8 west (in quay length)? | [
[
"Terminal 1 (CT1)",
"MTL",
"14",
"1",
"nan",
"4",
"nan",
"nan"
],
[
"Terminal 2 (CT2)",
"MTL",
"14",
"1",
"nan",
"5",
"nan",
"nan"
],
[
"Terminal 3 (CT3)",
"DPI",
"14",
"1",
"305",
"6",
"167,000",
">1,200"
],... | [
"740"
] | how long was terminal 8 west (in quay length)? || |
nt-4286 | col : terminal | operator | depth (m) | berths | quay length (m) | quay cranes | area (m2) | capacity (kteus) row 1 : terminal 1 (ct1) | mtl | 14 | 1 | nan | 4 | nan | nan row 2 : terminal 2 (ct2) | mtl | 14 | 1 | nan | 5 | nan | nan row 3 : terminal 3 (ct3) | dpi | 14 | 1 | 305 | 6 | 167,000 | >1,200 row 4 : terminal ... | table_csv/203_196.csv | 1 | {
"column_index": [
0
],
"row_index": [
10
]
} | [
"how long was terminal 8 west (in quay length)?",
"which terminal was longer than 740 m?"
] | 2 | terminal 9 south (ct9s) | [
"Terminal",
"Operator",
"Depth (m)",
"Berths",
"Quay length (m)",
"Quay cranes",
"Area (m2)",
"Capacity (kTEUs)"
] | which terminal was longer than 740 m? | [
[
"Terminal 1 (CT1)",
"MTL",
"14",
"1",
"nan",
"4",
"nan",
"nan"
],
[
"Terminal 2 (CT2)",
"MTL",
"14",
"1",
"nan",
"5",
"nan",
"nan"
],
[
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"DPI",
"14",
"1",
"305",
"6",
"167,000",
">1,200"
],... | [
"Terminal 9 South (CT9S)"
] | which terminal was longer than 740 m? || how long was terminal 8 west (in quay length)? |
nt-5808 | col : name | population (2002 census) | population (2007 estimation) | population (2011 census) | area (km2) | density (pop/km2) row 1 : brasov | 283,901 | 277,945 | 253,200 | 267.32 | 1,204 row 2 : codlea | 24,256 | 24,550 | 21,708 | 132.79 | 182 row 3 : sacele | 30,044 | 31,796 | 30,798 | 320 | 93 row 4 : ghimbav | 5... | table_csv/203_465.csv | 0 | {
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"of the cities below, which have an area of 75 square km or less?"
] | 0 | ghimbav, predeal, cristian, sanpetru, halchiu, prejmer, harman, bod | [
"Name",
"Population (2002 census)",
"Population (2007 estimation)",
"Population (2011 census)",
"Area (km2)",
"Density (pop/km2)"
] | of the cities below, which have an area of 75 square km or less? | [
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"277,945",
"253,200",
"267.32",
"1,204"
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[
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"31,796",
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"320",
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[
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"... | [
"Ghimbav",
"Predeal",
"Cristian",
"Sanpetru",
"Halchiu",
"Prejmer",
"Harman",
"Bod"
] | of the cities below, which have an area of 75 square km or less? || |
nt-5808 | col : name | population (2002 census) | population (2007 estimation) | population (2011 census) | area (km2) | density (pop/km2) row 1 : brasov | 283,901 | 277,945 | 253,200 | 267.32 | 1,204 row 2 : codlea | 24,256 | 24,550 | 21,708 | 132.79 | 182 row 3 : sacele | 30,044 | 31,796 | 30,798 | 320 | 93 row 4 : ghimbav | 5... | table_csv/203_465.csv | 1 | {
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"of the cities below, which have an area of 75 square km or less?",
"and of those, which had a population greater than 5,200 in 2007?"
] | 0 | ghimbav, prejmer | [
"Name",
"Population (2002 census)",
"Population (2007 estimation)",
"Population (2011 census)",
"Area (km2)",
"Density (pop/km2)"
] | and of those, which had a population greater than 5,200 in 2007? | [
[
"Brasov",
"283,901",
"277,945",
"253,200",
"267.32",
"1,204"
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[
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"24,256",
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[
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"5,357",
"... | [
"Ghimbav",
"Prejmer"
] | and of those, which had a population greater than 5,200 in 2007? || of the cities below, which have an area of 75 square km or less? |
nt-5808 | col : name | population (2002 census) | population (2007 estimation) | population (2011 census) | area (km2) | density (pop/km2) row 1 : brasov | 283,901 | 277,945 | 253,200 | 267.32 | 1,204 row 2 : codlea | 24,256 | 24,550 | 21,708 | 132.79 | 182 row 3 : sacele | 30,044 | 31,796 | 30,798 | 320 | 93 row 4 : ghimbav | 5... | table_csv/203_465.csv | 2 | {
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} | [
"of the cities below, which have an area of 75 square km or less?",
"and of those, which had a population greater than 5,200 in 2007?",
"of those, which had the higher population in 2007?"
] | 0 | prejmer | [
"Name",
"Population (2002 census)",
"Population (2007 estimation)",
"Population (2011 census)",
"Area (km2)",
"Density (pop/km2)"
] | of those, which had the higher population in 2007? | [
[
"Brasov",
"283,901",
"277,945",
"253,200",
"267.32",
"1,204"
],
[
"Codlea",
"24,256",
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"21,708",
"132.79",
"182"
],
[
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"30,044",
"31,796",
"30,798",
"320",
"93"
],
[
"Ghimbav",
"5,100",
"5,357",
"... | [
"Prejmer"
] | of those, which had the higher population in 2007? || and of those, which had a population greater than 5,200 in 2007? | of the cities below, which have an area of 75 square km or less? |
nt-5808 | col : name | population (2002 census) | population (2007 estimation) | population (2011 census) | area (km2) | density (pop/km2) row 1 : brasov | 283,901 | 277,945 | 253,200 | 267.32 | 1,204 row 2 : codlea | 24,256 | 24,550 | 21,708 | 132.79 | 182 row 3 : sacele | 30,044 | 31,796 | 30,798 | 320 | 93 row 4 : ghimbav | 5... | table_csv/203_465.csv | 0 | {
"column_index": [
2
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} | [
"what was ghimbav's population in 2007?"
] | 1 | 5,357 | [
"Name",
"Population (2002 census)",
"Population (2007 estimation)",
"Population (2011 census)",
"Area (km2)",
"Density (pop/km2)"
] | what was ghimbav's population in 2007? | [
[
"Brasov",
"283,901",
"277,945",
"253,200",
"267.32",
"1,204"
],
[
"Codlea",
"24,256",
"24,550",
"21,708",
"132.79",
"182"
],
[
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"30,044",
"31,796",
"30,798",
"320",
"93"
],
[
"Ghimbav",
"5,100",
"5,357",
"... | [
"5,357"
] | what was ghimbav's population in 2007? || |
nt-5808 | col : name | population (2002 census) | population (2007 estimation) | population (2011 census) | area (km2) | density (pop/km2) row 1 : brasov | 283,901 | 277,945 | 253,200 | 267.32 | 1,204 row 2 : codlea | 24,256 | 24,550 | 21,708 | 132.79 | 182 row 3 : sacele | 30,044 | 31,796 | 30,798 | 320 | 93 row 4 : ghimbav | 5... | table_csv/203_465.csv | 1 | {
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} | [
"what was ghimbav's population in 2007?",
"what was prejmer's population in 2007?"
] | 1 | 8,876 | [
"Name",
"Population (2002 census)",
"Population (2007 estimation)",
"Population (2011 census)",
"Area (km2)",
"Density (pop/km2)"
] | what was prejmer's population in 2007? | [
[
"Brasov",
"283,901",
"277,945",
"253,200",
"267.32",
"1,204"
],
[
"Codlea",
"24,256",
"24,550",
"21,708",
"132.79",
"182"
],
[
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"30,044",
"31,796",
"30,798",
"320",
"93"
],
[
"Ghimbav",
"5,100",
"5,357",
"... | [
"8,876"
] | what was prejmer's population in 2007? || what was ghimbav's population in 2007? |
nt-5808 | col : name | population (2002 census) | population (2007 estimation) | population (2011 census) | area (km2) | density (pop/km2) row 1 : brasov | 283,901 | 277,945 | 253,200 | 267.32 | 1,204 row 2 : codlea | 24,256 | 24,550 | 21,708 | 132.79 | 182 row 3 : sacele | 30,044 | 31,796 | 30,798 | 320 | 93 row 4 : ghimbav | 5... | table_csv/203_465.csv | 2 | {
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} | [
"what was ghimbav's population in 2007?",
"what was prejmer's population in 2007?",
"which city had the most population out of ghimbav and prejmer in 2007?"
] | 1 | prejmer | [
"Name",
"Population (2002 census)",
"Population (2007 estimation)",
"Population (2011 census)",
"Area (km2)",
"Density (pop/km2)"
] | which city had the most population out of ghimbav and prejmer in 2007? | [
[
"Brasov",
"283,901",
"277,945",
"253,200",
"267.32",
"1,204"
],
[
"Codlea",
"24,256",
"24,550",
"21,708",
"132.79",
"182"
],
[
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"30,044",
"31,796",
"30,798",
"320",
"93"
],
[
"Ghimbav",
"5,100",
"5,357",
"... | [
"Prejmer"
] | which city had the most population out of ghimbav and prejmer in 2007? || what was prejmer's population in 2007? | what was ghimbav's population in 2007? |
nt-5808 | col : name | population (2002 census) | population (2007 estimation) | population (2011 census) | area (km2) | density (pop/km2) row 1 : brasov | 283,901 | 277,945 | 253,200 | 267.32 | 1,204 row 2 : codlea | 24,256 | 24,550 | 21,708 | 132.79 | 182 row 3 : sacele | 30,044 | 31,796 | 30,798 | 320 | 93 row 4 : ghimbav | 5... | table_csv/203_465.csv | 0 | {
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} | [
"what brasov metropolitan areas had a lower population in 2011 the its 2007 estimate?"
] | 2 | brasov, codlea, sacele, ghimbav, predeal, rasnov, halchiu, prejmer, bod | [
"Name",
"Population (2002 census)",
"Population (2007 estimation)",
"Population (2011 census)",
"Area (km2)",
"Density (pop/km2)"
] | what brasov metropolitan areas had a lower population in 2011 the its 2007 estimate? | [
[
"Brasov",
"283,901",
"277,945",
"253,200",
"267.32",
"1,204"
],
[
"Codlea",
"24,256",
"24,550",
"21,708",
"132.79",
"182"
],
[
"Sacele",
"30,044",
"31,796",
"30,798",
"320",
"93"
],
[
"Ghimbav",
"5,100",
"5,357",
"... | [
"Brasov",
"Codlea",
"Sacele",
"Ghimbav",
"Predeal",
"Rasnov",
"Halchiu",
"Prejmer",
"Bod"
] | what brasov metropolitan areas had a lower population in 2011 the its 2007 estimate? || |
nt-5808 | col : name | population (2002 census) | population (2007 estimation) | population (2011 census) | area (km2) | density (pop/km2) row 1 : brasov | 283,901 | 277,945 | 253,200 | 267.32 | 1,204 row 2 : codlea | 24,256 | 24,550 | 21,708 | 132.79 | 182 row 3 : sacele | 30,044 | 31,796 | 30,798 | 320 | 93 row 4 : ghimbav | 5... | table_csv/203_465.csv | 1 | {
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} | [
"what brasov metropolitan areas had a lower population in 2011 the its 2007 estimate?",
"which of these has a population density above 100?"
] | 2 | brasov, codlea, ghimbav, prejmer, bod | [
"Name",
"Population (2002 census)",
"Population (2007 estimation)",
"Population (2011 census)",
"Area (km2)",
"Density (pop/km2)"
] | which of these has a population density above 100? | [
[
"Brasov",
"283,901",
"277,945",
"253,200",
"267.32",
"1,204"
],
[
"Codlea",
"24,256",
"24,550",
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"182"
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[
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"30,044",
"31,796",
"30,798",
"320",
"93"
],
[
"Ghimbav",
"5,100",
"5,357",
"... | [
"Brasov",
"Codlea",
"Ghimbav",
"Prejmer",
"Bod"
] | which of these has a population density above 100? || what brasov metropolitan areas had a lower population in 2011 the its 2007 estimate? |
nt-5808 | col : name | population (2002 census) | population (2007 estimation) | population (2011 census) | area (km2) | density (pop/km2) row 1 : brasov | 283,901 | 277,945 | 253,200 | 267.32 | 1,204 row 2 : codlea | 24,256 | 24,550 | 21,708 | 132.79 | 182 row 3 : sacele | 30,044 | 31,796 | 30,798 | 320 | 93 row 4 : ghimbav | 5... | table_csv/203_465.csv | 2 | {
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} | [
"what brasov metropolitan areas had a lower population in 2011 the its 2007 estimate?",
"which of these has a population density above 100?",
"which of the remaining population growth from 2002 to 2011?"
] | 2 | prejmer, bod | [
"Name",
"Population (2002 census)",
"Population (2007 estimation)",
"Population (2011 census)",
"Area (km2)",
"Density (pop/km2)"
] | which of the remaining population growth from 2002 to 2011? | [
[
"Brasov",
"283,901",
"277,945",
"253,200",
"267.32",
"1,204"
],
[
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"24,256",
"24,550",
"21,708",
"132.79",
"182"
],
[
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"30,044",
"31,796",
"30,798",
"320",
"93"
],
[
"Ghimbav",
"5,100",
"5,357",
"... | [
"Prejmer",
"Bod"
] | which of the remaining population growth from 2002 to 2011? || which of these has a population density above 100? | what brasov metropolitan areas had a lower population in 2011 the its 2007 estimate? |
nt-5808 | col : name | population (2002 census) | population (2007 estimation) | population (2011 census) | area (km2) | density (pop/km2) row 1 : brasov | 283,901 | 277,945 | 253,200 | 267.32 | 1,204 row 2 : codlea | 24,256 | 24,550 | 21,708 | 132.79 | 182 row 3 : sacele | 30,044 | 31,796 | 30,798 | 320 | 93 row 4 : ghimbav | 5... | table_csv/203_465.csv | 3 | {
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"what brasov metropolitan areas had a lower population in 2011 the its 2007 estimate?",
"which of these has a population density above 100?",
"which of the remaining population growth from 2002 to 2011?",
"which of these as the larges area?"
] | 2 | prejmer | [
"Name",
"Population (2002 census)",
"Population (2007 estimation)",
"Population (2011 census)",
"Area (km2)",
"Density (pop/km2)"
] | which of these as the larges area? | [
[
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"283,901",
"277,945",
"253,200",
"267.32",
"1,204"
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[
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[
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[
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"... | [
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] | which of these as the larges area? || which of the remaining population growth from 2002 to 2011? | which of these has a population density above 100? | what brasov metropolitan areas had a lower population in 2011 the its 2007 estimate? |
nt-5802 | col : rank | title | studio | director | actors | gross row 1 : 1.0 | the sound of music* | 20th century fox | robert wise | julie andrews, christopher plummer, charmian carr, nicholas ham | $163,214,286 row 2 : 2.0 | doctor zhivago* | metro-goldwyn-mayer | david lean | omar sharif, julie christie, rod steiger, geraldi... | table_csv/201_19.csv | 0 | {
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"which films were released during 1965?"
] | 0 | the sound of music*, doctor zhivago*, thunderball, those magnificent men in their flying machines, that darn cat!, the great race, cat ballou, what's new pussycat?, shenandoah, von ryan's express, the greatest story ever told, for a few dollars more, the sandpiper, a patch of blue, the sons of katie elder, help!, how t... | [
"Rank",
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"Director",
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[
"1.0",
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"$163,214,286"
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[
"2.0",
"Doctor Zhivago*",
"Metro-Goldwyn-Mayer",
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"What's New Pussycat?",
"Shenandoah",
"Von Ryan's Express",
"The Greatest Story Ever Told",
"For a Few Dollars More",
"The Sandpiper",
... | which films were released during 1965? || |
nt-5802 | col : rank | title | studio | director | actors | gross row 1 : 1.0 | the sound of music* | 20th century fox | robert wise | julie andrews, christopher plummer, charmian carr, nicholas ham | $163,214,286 row 2 : 2.0 | doctor zhivago* | metro-goldwyn-mayer | david lean | omar sharif, julie christie, rod steiger, geraldi... | table_csv/201_19.csv | 1 | {
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"and under which studio were they released?"
] | 0 | 20th century fox, metro-goldwyn-mayer, united artists, 20th century fox, walt disney productions, warner bros. pictures, columbia pictures, united artists, universal pictures, 20th century fox, united artists, united artists, metro-goldwyn-mayer, metro-goldwyn-mayer, paramount pictures, united artists, united artists, ... | [
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[
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[
"2.0",
"Doctor Zhivago*",
"Metro-Goldwyn-Mayer",
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"Columbia Pictures",
"United Artists",
"Universal Pictures",
"20th Century Fox",
"United Artists",
"United Artists",
"Metro-Goldwyn-Mayer",
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nt-5802 | col : rank | title | studio | director | actors | gross row 1 : 1.0 | the sound of music* | 20th century fox | robert wise | julie andrews, christopher plummer, charmian carr, nicholas ham | $163,214,286 row 2 : 2.0 | doctor zhivago* | metro-goldwyn-mayer | david lean | omar sharif, julie christie, rod steiger, geraldi... | table_csv/201_19.csv | 2 | {
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"which films were released during 1965?",
"and under which studio were they released?",
"what was the gross profit of each film?"
] | 0 | walt disney productions | [
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"Title",
"Studio",
"Director",
"Actors",
"Gross"
] | what was the gross profit of each film? | [
[
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"The Sound of Music*",
"20th Century Fox",
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"$163,214,286"
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[
"2.0",
"Doctor Zhivago*",
"Metro-Goldwyn-Mayer",
"David Lean",
"Omar Sharif, Julie Christie, Rod Steiger, Geraldin... | [
"Walt Disney Productions"
] | what was the gross profit of each film? || and under which studio were they released? | which films were released during 1965? |
nt-5802 | col : rank | title | studio | director | actors | gross row 1 : 2.0 | doctor zhivago* | metro-goldwyn-mayer | david lean | omar sharif, julie christie, rod steiger, geraldine cha | $111,721,910 row 2 : 3.0 | thunderball | united artists | terence young | sean connery, claudine auger, adolf | $63,595,658 row 3 : 4.0 | t... | table_csv/201_19.csv | 3 | {
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"which films were released during 1965?",
"and under which studio were they released?",
"what was the gross profit of each film?",
"and which film by walt disney productions grossed the highest amount?"
] | 0 | that darn cat! | [
"Rank",
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"Studio",
"Director",
"Actors",
"Gross"
] | and which film by walt disney productions grossed the highest amount? | [
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"Doctor Zhivago*",
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[
... | [
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"what were all the films produced?"
] | 1 | the sound of music*, doctor zhivago*, thunderball, those magnificent men in their flying machines, that darn cat!, the great race, cat ballou, what's new pussycat?, shenandoah, von ryan's express, the greatest story ever told, for a few dollars more, the sandpiper, a patch of blue, the sons of katie elder, help!, how t... | [
"Rank",
"Title",
"Studio",
"Director",
"Actors",
"Gross"
] | what were all the films produced? | [
[
"1.0",
"The Sound of Music*",
"20th Century Fox",
"Robert Wise",
"Julie Andrews, Christopher Plummer, Charmian Carr, Nicholas Ham",
"$163,214,286"
],
[
"2.0",
"Doctor Zhivago*",
"Metro-Goldwyn-Mayer",
"David Lean",
"Omar Sharif, Julie Christie, Rod Steiger, Geraldin... | [
"The Sound of Music*",
"Doctor Zhivago*",
"Thunderball",
"Those Magnificent Men in their Flying Machines",
"That Darn Cat!",
"The Great Race",
"Cat Ballou",
"What's New Pussycat?",
"Shenandoah",
"Von Ryan's Express",
"The Greatest Story Ever Told",
"For a Few Dollars More",
"The Sandpiper",
... | what were all the films produced? || |
nt-5802 | col : rank | title | studio | director | actors | gross row 1 : 1.0 | the sound of music* | 20th century fox | robert wise | julie andrews, christopher plummer, charmian carr, nicholas ham | $163,214,286 row 2 : 2.0 | doctor zhivago* | metro-goldwyn-mayer | david lean | omar sharif, julie christie, rod steiger, geraldi... | table_csv/201_19.csv | 1 | {
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} | [
"what were all the films produced?",
"what were the profits on films produced by walt disney productions?"
] | 1 | $28,068,222 | [
"Rank",
"Title",
"Studio",
"Director",
"Actors",
"Gross"
] | what were the profits on films produced by walt disney productions? | [
[
"1.0",
"The Sound of Music*",
"20th Century Fox",
"Robert Wise",
"Julie Andrews, Christopher Plummer, Charmian Carr, Nicholas Ham",
"$163,214,286"
],
[
"2.0",
"Doctor Zhivago*",
"Metro-Goldwyn-Mayer",
"David Lean",
"Omar Sharif, Julie Christie, Rod Steiger, Geraldin... | [
"$28,068,222"
] | what were the profits on films produced by walt disney productions? || what were all the films produced? |
nt-5802 | col : rank | title | studio | director | actors | gross row 1 : 1.0 | the sound of music* | 20th century fox | robert wise | julie andrews, christopher plummer, charmian carr, nicholas ham | $163,214,286 row 2 : 2.0 | doctor zhivago* | metro-goldwyn-mayer | david lean | omar sharif, julie christie, rod steiger, geraldi... | table_csv/201_19.csv | 2 | {
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} | [
"what were all the films produced?",
"what were the profits on films produced by walt disney productions?",
"what film does this correspond to?"
] | 1 | that darn cat! | [
"Rank",
"Title",
"Studio",
"Director",
"Actors",
"Gross"
] | what film does this correspond to? | [
[
"1.0",
"The Sound of Music*",
"20th Century Fox",
"Robert Wise",
"Julie Andrews, Christopher Plummer, Charmian Carr, Nicholas Ham",
"$163,214,286"
],
[
"2.0",
"Doctor Zhivago*",
"Metro-Goldwyn-Mayer",
"David Lean",
"Omar Sharif, Julie Christie, Rod Steiger, Geraldin... | [
"That Darn Cat!"
] | what film does this correspond to? || what were the profits on films produced by walt disney productions? | what were all the films produced? |
nt-5802 | col : rank | title | studio | director | actors | gross row 1 : 1.0 | the sound of music* | 20th century fox | robert wise | julie andrews, christopher plummer, charmian carr, nicholas ham | $163,214,286 row 2 : 2.0 | doctor zhivago* | metro-goldwyn-mayer | david lean | omar sharif, julie christie, rod steiger, geraldi... | table_csv/201_19.csv | 0 | {
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"what are the movies listed as the highest grossing in 1965?"
] | 2 | the sound of music*, doctor zhivago*, thunderball, those magnificent men in their flying machines, that darn cat!, the great race, cat ballou, what's new pussycat?, shenandoah, von ryan's express, the greatest story ever told, for a few dollars more, the sandpiper, a patch of blue, the sons of katie elder, help!, how t... | [
"Rank",
"Title",
"Studio",
"Director",
"Actors",
"Gross"
] | what are the movies listed as the highest grossing in 1965? | [
[
"1.0",
"The Sound of Music*",
"20th Century Fox",
"Robert Wise",
"Julie Andrews, Christopher Plummer, Charmian Carr, Nicholas Ham",
"$163,214,286"
],
[
"2.0",
"Doctor Zhivago*",
"Metro-Goldwyn-Mayer",
"David Lean",
"Omar Sharif, Julie Christie, Rod Steiger, Geraldin... | [
"The Sound of Music*",
"Doctor Zhivago*",
"Thunderball",
"Those Magnificent Men in their Flying Machines",
"That Darn Cat!",
"The Great Race",
"Cat Ballou",
"What's New Pussycat?",
"Shenandoah",
"Von Ryan's Express",
"The Greatest Story Ever Told",
"For a Few Dollars More",
"The Sandpiper",
... | what are the movies listed as the highest grossing in 1965? || |
nt-5802 | col : rank | title | studio | director | actors | gross row 1 : 1.0 | the sound of music* | 20th century fox | robert wise | julie andrews, christopher plummer, charmian carr, nicholas ham | $163,214,286 row 2 : 2.0 | doctor zhivago* | metro-goldwyn-mayer | david lean | omar sharif, julie christie, rod steiger, geraldi... | table_csv/201_19.csv | 1 | {
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1
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"row_index": [
4
]
} | [
"what are the movies listed as the highest grossing in 1965?",
"which of these was a disney production?"
] | 2 | that darn cat! | [
"Rank",
"Title",
"Studio",
"Director",
"Actors",
"Gross"
] | which of these was a disney production? | [
[
"1.0",
"The Sound of Music*",
"20th Century Fox",
"Robert Wise",
"Julie Andrews, Christopher Plummer, Charmian Carr, Nicholas Ham",
"$163,214,286"
],
[
"2.0",
"Doctor Zhivago*",
"Metro-Goldwyn-Mayer",
"David Lean",
"Omar Sharif, Julie Christie, Rod Steiger, Geraldin... | [
"That Darn Cat!"
] | which of these was a disney production? || what are the movies listed as the highest grossing in 1965? |
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} | [
"what are all of the song titles?"
] | 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 of the song 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"
],
[
... | [
"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 (... | what are all of the song titles? || |
nt-5579 | 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 colli... | table_csv/204_932.csv | 1 | {
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} | [
"what are all of the song titles?",
"and what about their lengths?"
] | 0 | 6:44, 4:25, 4:34, 8:24, 6:33, 1:38, 4:16, 5:04, 7:25, 5:20, 4:03, 5:26, 5:08, 4:36, 4:18 | [
"#",
"Title",
"Time",
"Lead Vocals",
"Notes"
] | and what about their lengths? | [
[
"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"
],
[
... | [
"6:44",
"4:25",
"4:34",
"8:24",
"6:33",
"1:38",
"4:16",
"5:04",
"7:25",
"5:20",
"4:03",
"5:26",
"5:08",
"4:36",
"4:18"
] | and what about their lengths? || what are all of the song titles? |
nt-5579 | 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 colli... | table_csv/204_932.csv | 2 | {
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2
],
"row_index": [
8
]
} | [
"what are all of the song titles?",
"and what about their lengths?",
"how long is i love you jesus?"
] | 0 | 7:25 | [
"#",
"Title",
"Time",
"Lead Vocals",
"Notes"
] | how long is i love you jesus? | [
[
"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"
],
[
... | [
"7:25"
] | how long is i love you jesus? || and what about their lengths? | what are all of the song titles? |
nt-5579 | 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 colli... | table_csv/204_932.csv | 0 | {
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} | [
"what are the title in whatcha looking' 4?"
] | 1 | 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 the title in whatcha looking' 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"
],
[
... | [
"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 (... | what are the title in whatcha looking' 4? || |
nt-5579 | 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 colli... | table_csv/204_932.csv | 1 | {
"column_index": [
2
],
"row_index": [
8
]
} | [
"what are the title in whatcha looking' 4?",
"what is the length of i love you jesus?"
] | 1 | 7:25 | [
"#",
"Title",
"Time",
"Lead Vocals",
"Notes"
] | what is the length of i love you jesus? | [
[
"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"
],
[
... | [
"7:25"
] | what is the length of i love you jesus? || what are the title in whatcha looking' 4? |
nt-5579 | 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 colli... | table_csv/204_932.csv | 0 | {
"column_index": [
1
],
"row_index": [
8
]
} | [
"what is the title of the song with the lead vocals sung by teresa young, stephanie glenn, and shelia brice?"
] | 2 | i love you jesus | [
"#",
"Title",
"Time",
"Lead Vocals",
"Notes"
] | what is the title of the song with the lead vocals sung by teresa young, stephanie glenn, and shelia brice? | [
[
"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"
],
[
... | [
"I Love You Jesus"
] | what is the title of the song with the lead vocals sung by teresa young, stephanie glenn, and shelia brice? || |
nt-5579 | 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 colli... | table_csv/204_932.csv | 1 | {
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8
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} | [
"what is the title of the song with the lead vocals sung by teresa young, stephanie glenn, and shelia brice?",
"what is the time of the song listed in the previous answer?"
] | 2 | 7:25 | [
"#",
"Title",
"Time",
"Lead Vocals",
"Notes"
] | what is the time of the song listed in the previous answer? | [
[
"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"
],
[
... | [
"7:25"
] | what is the time of the song listed in the previous answer? || what is the title of the song with the lead vocals sung by teresa young, stephanie glenn, and shelia brice? |
nt-3257 | col : date | opponent# | rank# | site | tv | result | attendance row 1 : september 18 | smu* | #10 | oklahoma memorial stadium * norman, ok | nan | w 30-0 | 53,545 row 2 : september 25 | at pittsburgh* | #11 | pitt stadium * pittsburgh, pa | nan | w 55-29 | 34,916 row 3 : october 2 | #17 usc* | #8 | oklahoma memorial s... | table_csv/204_617.csv | 0 | {
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} | [
"when was the game against texas?"
] | 0 | october 9 | [
"Date",
"Opponent#",
"Rank#",
"Site",
"TV",
"Result",
"Attendance"
] | when was the game against texas? | [
[
"September 18",
"SMU*",
"#10",
"Oklahoma Memorial Stadium * Norman, OK",
"nan",
"W 30-0",
"53,545"
],
[
"September 25",
"at Pittsburgh*",
"#11",
"Pitt Stadium * Pittsburgh, PA",
"nan",
"W 55-29",
"34,916"
],
[
"October 2",
"#17 USC*",
"#8... | [
"October 9"
] | when was the game against texas? || |
nt-3257 | col : date | opponent# | rank# | site | tv | result | attendance row 1 : september 18 | smu* | #10 | oklahoma memorial stadium * norman, ok | nan | w 30-0 | 53,545 row 2 : september 25 | at pittsburgh* | #11 | pitt stadium * pittsburgh, pa | nan | w 55-29 | 34,916 row 3 : october 2 | #17 usc* | #8 | oklahoma memorial s... | table_csv/204_617.csv | 1 | {
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6
],
"row_index": [
3
]
} | [
"when was the game against texas?",
"what was the attendance on the october 9 game?"
] | 0 | 72,032 | [
"Date",
"Opponent#",
"Rank#",
"Site",
"TV",
"Result",
"Attendance"
] | what was the attendance on the october 9 game? | [
[
"September 18",
"SMU*",
"#10",
"Oklahoma Memorial Stadium * Norman, OK",
"nan",
"W 30-0",
"53,545"
],
[
"September 25",
"at Pittsburgh*",
"#11",
"Pitt Stadium * Pittsburgh, PA",
"nan",
"W 55-29",
"34,916"
],
[
"October 2",
"#17 USC*",
"#8... | [
"72,032"
] | what was the attendance on the october 9 game? || when was the game against texas? |
nt-3257 | col : date | opponent# | rank# | site | tv | result | attendance row 1 : september 18 | smu* | #10 | oklahoma memorial stadium * norman, ok | nan | w 30-0 | 53,545 row 2 : september 25 | at pittsburgh* | #11 | pitt stadium * pittsburgh, pa | nan | w 55-29 | 34,916 row 3 : october 2 | #17 usc* | #8 | oklahoma memorial s... | table_csv/204_617.csv | 0 | {
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} | [
"who were all the opponents?"
] | 1 | smu*, at pittsburgh*, #17 usc*, vs. #3 texas*, #6 colorado, at kansas state, iowa state, at missouri, kansas, #1 nebraska, at oklahoma state, vs. #5 auburn* | [
"Date",
"Opponent#",
"Rank#",
"Site",
"TV",
"Result",
"Attendance"
] | who were all the opponents? | [
[
"September 18",
"SMU*",
"#10",
"Oklahoma Memorial Stadium * Norman, OK",
"nan",
"W 30-0",
"53,545"
],
[
"September 25",
"at Pittsburgh*",
"#11",
"Pitt Stadium * Pittsburgh, PA",
"nan",
"W 55-29",
"34,916"
],
[
"October 2",
"#17 USC*",
"#8... | [
"SMU*",
"at Pittsburgh*",
"#17 USC*",
"vs. #3 Texas*",
"#6 Colorado",
"at Kansas State",
"Iowa State",
"at Missouri",
"Kansas",
"#1 Nebraska",
"at Oklahoma State",
"vs. #5 Auburn*"
] | who were all the opponents? || |
nt-3257 | col : date | opponent# | rank# | site | tv | result | attendance row 1 : september 18 | smu* | #10 | oklahoma memorial stadium * norman, ok | nan | w 30-0 | 53,545 row 2 : september 25 | at pittsburgh* | #11 | pitt stadium * pittsburgh, pa | nan | w 55-29 | 34,916 row 3 : october 2 | #17 usc* | #8 | oklahoma memorial s... | table_csv/204_617.csv | 1 | {
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} | [
"who were all the opponents?",
"when was game against texas played?"
] | 1 | october 9 | [
"Date",
"Opponent#",
"Rank#",
"Site",
"TV",
"Result",
"Attendance"
] | when was game against texas played? | [
[
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"SMU*",
"#10",
"Oklahoma Memorial Stadium * Norman, OK",
"nan",
"W 30-0",
"53,545"
],
[
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"at Pittsburgh*",
"#11",
"Pitt Stadium * Pittsburgh, PA",
"nan",
"W 55-29",
"34,916"
],
[
"October 2",
"#17 USC*",
"#8... | [
"October 9"
] | when was game against texas played? || who were all the opponents? |
nt-3257 | col : date | opponent# | rank# | site | tv | result | attendance row 1 : september 18 | smu* | #10 | oklahoma memorial stadium * norman, ok | nan | w 30-0 | 53,545 row 2 : september 25 | at pittsburgh* | #11 | pitt stadium * pittsburgh, pa | nan | w 55-29 | 34,916 row 3 : october 2 | #17 usc* | #8 | oklahoma memorial s... | table_csv/204_617.csv | 2 | {
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6
],
"row_index": [
3
]
} | [
"who were all the opponents?",
"when was game against texas played?",
"what was the attendance on that day?"
] | 1 | 72,032 | [
"Date",
"Opponent#",
"Rank#",
"Site",
"TV",
"Result",
"Attendance"
] | what was the attendance on that day? | [
[
"September 18",
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"W 30-0",
"53,545"
],
[
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"nan",
"W 55-29",
"34,916"
],
[
"October 2",
"#17 USC*",
"#8... | [
"72,032"
] | what was the attendance on that day? || when was game against texas played? | who were all the opponents? |
nt-3257 | col : date | opponent# | rank# | site | tv | result | attendance row 1 : september 18 | smu* | #10 | oklahoma memorial stadium * norman, ok | nan | w 30-0 | 53,545 row 2 : september 25 | at pittsburgh* | #11 | pitt stadium * pittsburgh, pa | nan | w 55-29 | 34,916 row 3 : october 2 | #17 usc* | #8 | oklahoma memorial s... | table_csv/204_617.csv | 0 | {
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} | [
"who were all of the opponents?"
] | 2 | smu*, at pittsburgh*, #17 usc*, vs. #3 texas*, #6 colorado, at kansas state, iowa state, at missouri, kansas, #1 nebraska, at oklahoma state, vs. #5 auburn* | [
"Date",
"Opponent#",
"Rank#",
"Site",
"TV",
"Result",
"Attendance"
] | who were all of the opponents? | [
[
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"SMU*",
"#10",
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"W 30-0",
"53,545"
],
[
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[
"October 2",
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"#8... | [
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"#6 Colorado",
"at Kansas State",
"Iowa State",
"at Missouri",
"Kansas",
"#1 Nebraska",
"at Oklahoma State",
"vs. #5 Auburn*"
] | who were all of the opponents? || |
nt-3257 | col : date | opponent# | rank# | site | tv | result | attendance row 1 : september 18 | smu* | #10 | oklahoma memorial stadium * norman, ok | nan | w 30-0 | 53,545 row 2 : september 25 | at pittsburgh* | #11 | pitt stadium * pittsburgh, pa | nan | w 55-29 | 34,916 row 3 : october 2 | #17 usc* | #8 | oklahoma memorial s... | table_csv/204_617.csv | 1 | {
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} | [
"who were all of the opponents?",
"what about the attendances?"
] | 2 | 53,545, 34,916, 62,351, 72,032, 62,501, 37,198, 60,477, 55,098, 54,347, 62,884, 36,571, 84,031 | [
"Date",
"Opponent#",
"Rank#",
"Site",
"TV",
"Result",
"Attendance"
] | what about the attendances? | [
[
"September 18",
"SMU*",
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"Oklahoma Memorial Stadium * Norman, OK",
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"W 30-0",
"53,545"
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[
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[
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"60,477",
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"36,571",
"84,031"
] | what about the attendances? || who were all of the opponents? |
nt-3257 | col : date | opponent# | rank# | site | tv | result | attendance row 1 : september 18 | smu* | #10 | oklahoma memorial stadium * norman, ok | nan | w 30-0 | 53,545 row 2 : september 25 | at pittsburgh* | #11 | pitt stadium * pittsburgh, pa | nan | w 55-29 | 34,916 row 3 : october 2 | #17 usc* | #8 | oklahoma memorial s... | table_csv/204_617.csv | 2 | {
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6
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} | [
"who were all of the opponents?",
"what about the attendances?",
"and during the game versus texas, what was the attendance?"
] | 2 | 72,032 | [
"Date",
"Opponent#",
"Rank#",
"Site",
"TV",
"Result",
"Attendance"
] | and during the game versus texas, what was the attendance? | [
[
"September 18",
"SMU*",
"#10",
"Oklahoma Memorial Stadium * Norman, OK",
"nan",
"W 30-0",
"53,545"
],
[
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"nan",
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"34,916"
],
[
"October 2",
"#17 USC*",
"#8... | [
"72,032"
] | and during the game versus texas, what was the attendance? || what about the attendances? | who were all of the opponents? |
nt-6592 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | china | 10 | 5 | 1 | 16 row 2 : 2 | north korea | 3 | 3 | 4 | 10 row 3 : 3 | japan | 1 | 3 | 3 | 7 row 4 : 4 | chinese taipei | 1 | 1 | 1 | 3 row 5 : 5 | hong kong | 0 | 1 | 0 | 1 row 6 : 6 | south korea | 0 | 0 | 3 | 3 row 7 : 7 | india | 0 | 0 | 1 | 1 r... | table_csv/204_320.csv | 0 | {
"column_index": [
3
],
"row_index": [
0
]
} | [
"how many silver medals did china win?"
] | 0 | 5 | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | how many silver medals did china win? | [
[
"1",
"China",
"10",
"5",
"1",
"16"
],
[
"2",
"North Korea",
"3",
"3",
"4",
"10"
],
[
"3",
"Japan",
"1",
"3",
"3",
"7"
],
[
"4",
"Chinese Taipei",
"1",
"1",
"1",
"3"
],
[
"5",
"Hong Kong",
"0... | [
"5"
] | how many silver medals did china win? || |
nt-6592 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | china | 10 | 5 | 1 | 16 row 2 : 2 | north korea | 3 | 3 | 4 | 10 row 3 : 3 | japan | 1 | 3 | 3 | 7 row 4 : 4 | chinese taipei | 1 | 1 | 1 | 3 row 5 : 5 | hong kong | 0 | 1 | 0 | 1 row 6 : 6 | south korea | 0 | 0 | 3 | 3 row 7 : 7 | india | 0 | 0 | 1 | 1 r... | table_csv/204_320.csv | 1 | {
"column_index": [
3
],
"row_index": [
1
]
} | [
"how many silver medals did china win?",
"how many silver medals did north korea win?"
] | 0 | 3 | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | how many silver medals did north korea win? | [
[
"1",
"China",
"10",
"5",
"1",
"16"
],
[
"2",
"North Korea",
"3",
"3",
"4",
"10"
],
[
"3",
"Japan",
"1",
"3",
"3",
"7"
],
[
"4",
"Chinese Taipei",
"1",
"1",
"1",
"3"
],
[
"5",
"Hong Kong",
"0... | [
"3"
] | how many silver medals did north korea win? || how many silver medals did china win? |
nt-6592 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | china | 10 | 5 | 1 | 16 row 2 : 2 | north korea | 3 | 3 | 4 | 10 row 3 : 3 | japan | 1 | 3 | 3 | 7 row 4 : 4 | chinese taipei | 1 | 1 | 1 | 3 row 5 : 5 | hong kong | 0 | 1 | 0 | 1 row 6 : 6 | south korea | 0 | 0 | 3 | 3 row 7 : 7 | india | 0 | 0 | 1 | 1 r... | table_csv/204_320.csv | 2 | {
"column_index": [
1
],
"row_index": [
0
]
} | [
"how many silver medals did china win?",
"how many silver medals did north korea win?",
"who won five silver medals?"
] | 0 | china | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | who won five silver medals? | [
[
"1",
"China",
"10",
"5",
"1",
"16"
],
[
"2",
"North Korea",
"3",
"3",
"4",
"10"
],
[
"3",
"Japan",
"1",
"3",
"3",
"7"
],
[
"4",
"Chinese Taipei",
"1",
"1",
"1",
"3"
],
[
"5",
"Hong Kong",
"0... | [
"China"
] | who won five silver medals? || how many silver medals did north korea win? | how many silver medals did china win? |
nt-6592 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | china | 10 | 5 | 1 | 16 row 2 : 2 | north korea | 3 | 3 | 4 | 10 row 3 : 3 | japan | 1 | 3 | 3 | 7 row 4 : 4 | chinese taipei | 1 | 1 | 1 | 3 row 5 : 5 | hong kong | 0 | 1 | 0 | 1 row 6 : 6 | south korea | 0 | 0 | 3 | 3 row 7 : 7 | india | 0 | 0 | 1 | 1 r... | table_csv/204_320.csv | 0 | {
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6,
7,
8
]
} | [
"which countries participated in the 2006 asian artistic gymnastics championships?"
] | 1 | china, north korea, japan, chinese taipei, hong kong, south korea, india, kazakhstan, syria | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | which countries participated in the 2006 asian artistic gymnastics championships? | [
[
"1",
"China",
"10",
"5",
"1",
"16"
],
[
"2",
"North Korea",
"3",
"3",
"4",
"10"
],
[
"3",
"Japan",
"1",
"3",
"3",
"7"
],
[
"4",
"Chinese Taipei",
"1",
"1",
"1",
"3"
],
[
"5",
"Hong Kong",
"0... | [
"China",
"North Korea",
"Japan",
"Chinese Taipei",
"Hong Kong",
"South Korea",
"India",
"Kazakhstan",
"Syria"
] | which countries participated in the 2006 asian artistic gymnastics championships? || |
nt-6592 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | china | 10 | 5 | 1 | 16 row 2 : 2 | north korea | 3 | 3 | 4 | 10 row 3 : 3 | japan | 1 | 3 | 3 | 7 row 4 : 4 | chinese taipei | 1 | 1 | 1 | 3 row 5 : 5 | hong kong | 0 | 1 | 0 | 1 row 6 : 6 | south korea | 0 | 0 | 3 | 3 row 7 : 7 | india | 0 | 0 | 1 | 1 r... | table_csv/204_320.csv | 1 | {
"column_index": [
1
],
"row_index": [
0
]
} | [
"which countries participated in the 2006 asian artistic gymnastics championships?",
"which countries obtained 5 silver medals?"
] | 1 | china | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | which countries obtained 5 silver medals? | [
[
"1",
"China",
"10",
"5",
"1",
"16"
],
[
"2",
"North Korea",
"3",
"3",
"4",
"10"
],
[
"3",
"Japan",
"1",
"3",
"3",
"7"
],
[
"4",
"Chinese Taipei",
"1",
"1",
"1",
"3"
],
[
"5",
"Hong Kong",
"0... | [
"China"
] | which countries obtained 5 silver medals? || which countries participated in the 2006 asian artistic gymnastics championships? |
nt-6592 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | china | 10 | 5 | 1 | 16 row 2 : 2 | north korea | 3 | 3 | 4 | 10 row 3 : 3 | japan | 1 | 3 | 3 | 7 row 4 : 4 | chinese taipei | 1 | 1 | 1 | 3 row 5 : 5 | hong kong | 0 | 1 | 0 | 1 row 6 : 6 | south korea | 0 | 0 | 3 | 3 row 7 : 7 | india | 0 | 0 | 1 | 1 r... | table_csv/204_320.csv | 0 | {
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"row_index": [
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1,
2,
3,
4
]
} | [
"which countries that participated in the 2006 asian artistic gymnastics championships took home at least one silver medal?"
] | 2 | china, north korea, japan, chinese taipei, hong kong | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | which countries that participated in the 2006 asian artistic gymnastics championships took home at least one silver medal? | [
[
"1",
"China",
"10",
"5",
"1",
"16"
],
[
"2",
"North Korea",
"3",
"3",
"4",
"10"
],
[
"3",
"Japan",
"1",
"3",
"3",
"7"
],
[
"4",
"Chinese Taipei",
"1",
"1",
"1",
"3"
],
[
"5",
"Hong Kong",
"0... | [
"China",
"North Korea",
"Japan",
"Chinese Taipei",
"Hong Kong"
] | which countries that participated in the 2006 asian artistic gymnastics championships took home at least one silver medal? || |
nt-6592 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | china | 10 | 5 | 1 | 16 row 2 : 2 | north korea | 3 | 3 | 4 | 10 row 3 : 3 | japan | 1 | 3 | 3 | 7 row 4 : 4 | chinese taipei | 1 | 1 | 1 | 3 row 5 : 5 | hong kong | 0 | 1 | 0 | 1 row 6 : 6 | south korea | 0 | 0 | 3 | 3 row 7 : 7 | india | 0 | 0 | 1 | 1 r... | table_csv/204_320.csv | 1 | {
"column_index": [
1
],
"row_index": [
0
]
} | [
"which countries that participated in the 2006 asian artistic gymnastics championships took home at least one silver medal?",
"of these countries, which one took home 5 silver medals?"
] | 2 | china | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | of these countries, which one took home 5 silver medals? | [
[
"1",
"China",
"10",
"5",
"1",
"16"
],
[
"2",
"North Korea",
"3",
"3",
"4",
"10"
],
[
"3",
"Japan",
"1",
"3",
"3",
"7"
],
[
"4",
"Chinese Taipei",
"1",
"1",
"1",
"3"
],
[
"5",
"Hong Kong",
"0... | [
"China"
] | of these countries, which one took home 5 silver medals? || which countries that participated in the 2006 asian artistic gymnastics championships took home at least one silver medal? |
nt-6593 | col : unnamed: 0 | country | builder | location | ship | class | notes row 1 : 23 january | united states | new york shipbuilding corporation | camden, new jersey | salt lake city | pensacola-class cruiser | nan row 2 : 12 april | france | chantiers de la gironde | gironde | commandant teste | seaplane carrier and tend... | table_csv/203_403.csv | 0 | {
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]
} | [
"what were all of the builders?"
] | 0 | new york shipbuilding corporation, chantiers de la gironde, new york navy yard, uraga dock, deschimag werk a.g, new york shipbuilding corporation, harland and wolff, fore river shipyard, newport news shipbuilding & dry dock company, trondhjems mekaniske vaerksted, deutsche werft, ag weser, smiths dock co ltd, smiths do... | [
"Unnamed: 0",
"Country",
"Builder",
"Location",
"Ship",
"Class",
"Notes"
] | what were all of the builders? | [
[
"23 January",
"United States",
"New York Shipbuilding Corporation",
"Camden, New Jersey",
"Salt Lake City",
"Pensacola-class cruiser",
"nan"
],
[
"12 April",
"France",
"Chantiers de la Gironde",
"Gironde",
"Commandant Teste",
"Seaplane carrier and tender",
... | [
"New York Shipbuilding Corporation",
"Chantiers de la Gironde",
"New York Navy Yard",
"Uraga Dock",
"Deschimag Werk A.G",
"New York Shipbuilding Corporation",
"Harland and Wolff",
"Fore River Shipyard",
"Newport News Shipbuilding & Dry Dock Company",
"Trondhjems mekaniske Vaerksted",
"Deutsche W... | what were all of the builders? || |
nt-6593 | col : unnamed: 0 | country | builder | location | ship | class | notes row 1 : 23 january | united states | new york shipbuilding corporation | camden, new jersey | salt lake city | pensacola-class cruiser | nan row 2 : 12 april | france | chantiers de la gironde | gironde | commandant teste | seaplane carrier and tend... | table_csv/203_403.csv | 1 | {
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]
} | [
"what were all of the builders?",
"and what were the names of the ships?"
] | 0 | salt lake city, commandant teste, pensacola, itsukushima, lichtenfels, chester, britannic, northampton, houston, baroy, ceuta, hercules, vikingen i, vikingen ii, vikingen iii, yngve | [
"Unnamed: 0",
"Country",
"Builder",
"Location",
"Ship",
"Class",
"Notes"
] | and what were the names of the ships? | [
[
"23 January",
"United States",
"New York Shipbuilding Corporation",
"Camden, New Jersey",
"Salt Lake City",
"Pensacola-class cruiser",
"nan"
],
[
"12 April",
"France",
"Chantiers de la Gironde",
"Gironde",
"Commandant Teste",
"Seaplane carrier and tender",
... | [
"Salt Lake City",
"Commandant Teste",
"Pensacola",
"Itsukushima",
"Lichtenfels",
"Chester",
"Britannic",
"Northampton",
"Houston",
"Baroy",
"Ceuta",
"Hercules",
"Vikingen I",
"Vikingen II",
"Vikingen III",
"Yngve"
] | and what were the names of the ships? || what were all of the builders? |
nt-6593 | col : unnamed: 0 | country | builder | location | ship | class | notes row 1 : 23 january | united states | new york shipbuilding corporation | camden, new jersey | salt lake city | pensacola-class cruiser | nan row 2 : 12 april | france | chantiers de la gironde | gironde | commandant teste | seaplane carrier and tend... | table_csv/203_403.csv | 2 | {
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4
],
"row_index": [
2
]
} | [
"what were all of the builders?",
"and what were the names of the ships?",
"of those ships, which was built at the new york navy yard?"
] | 0 | pensacola | [
"Unnamed: 0",
"Country",
"Builder",
"Location",
"Ship",
"Class",
"Notes"
] | of those ships, which was built at the new york navy yard? | [
[
"23 January",
"United States",
"New York Shipbuilding Corporation",
"Camden, New Jersey",
"Salt Lake City",
"Pensacola-class cruiser",
"nan"
],
[
"12 April",
"France",
"Chantiers de la Gironde",
"Gironde",
"Commandant Teste",
"Seaplane carrier and tender",
... | [
"Pensacola"
] | of those ships, which was built at the new york navy yard? || and what were the names of the ships? | what were all of the builders? |
nt-6593 | col : unnamed: 0 | country | builder | location | ship | class | notes row 1 : 23 january | united states | new york shipbuilding corporation | camden, new jersey | salt lake city | pensacola-class cruiser | nan row 2 : 12 april | france | chantiers de la gironde | gironde | commandant teste | seaplane carrier and tend... | table_csv/203_403.csv | 0 | {
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} | [
"what are the names of all the ships?"
] | 1 | salt lake city, commandant teste, pensacola, itsukushima, lichtenfels, chester, britannic, northampton, houston, baroy, ceuta, hercules, vikingen i, vikingen ii, vikingen iii, yngve | [
"Unnamed: 0",
"Country",
"Builder",
"Location",
"Ship",
"Class",
"Notes"
] | what are the names of all the ships? | [
[
"23 January",
"United States",
"New York Shipbuilding Corporation",
"Camden, New Jersey",
"Salt Lake City",
"Pensacola-class cruiser",
"nan"
],
[
"12 April",
"France",
"Chantiers de la Gironde",
"Gironde",
"Commandant Teste",
"Seaplane carrier and tender",
... | [
"Salt Lake City",
"Commandant Teste",
"Pensacola",
"Itsukushima",
"Lichtenfels",
"Chester",
"Britannic",
"Northampton",
"Houston",
"Baroy",
"Ceuta",
"Hercules",
"Vikingen I",
"Vikingen II",
"Vikingen III",
"Yngve"
] | what are the names of all the ships? || |
nt-6593 | col : unnamed: 0 | country | builder | location | ship | class | notes row 1 : 23 january | united states | new york shipbuilding corporation | camden, new jersey | salt lake city | pensacola-class cruiser | nan row 2 : 12 april | france | chantiers de la gironde | gironde | commandant teste | seaplane carrier and tend... | table_csv/203_403.csv | 1 | {
"column_index": [
4
],
"row_index": [
2
]
} | [
"what are the names of all the ships?",
"which ship was built by the new york navy yard?"
] | 1 | pensacola | [
"Unnamed: 0",
"Country",
"Builder",
"Location",
"Ship",
"Class",
"Notes"
] | which ship was built by the new york navy yard? | [
[
"23 January",
"United States",
"New York Shipbuilding Corporation",
"Camden, New Jersey",
"Salt Lake City",
"Pensacola-class cruiser",
"nan"
],
[
"12 April",
"France",
"Chantiers de la Gironde",
"Gironde",
"Commandant Teste",
"Seaplane carrier and tender",
... | [
"Pensacola"
] | which ship was built by the new york navy yard? || what are the names of all the ships? |
nt-6593 | col : unnamed: 0 | country | builder | location | ship | class | notes row 1 : 23 january | united states | new york shipbuilding corporation | camden, new jersey | salt lake city | pensacola-class cruiser | nan row 2 : 12 april | france | chantiers de la gironde | gironde | commandant teste | seaplane carrier and tend... | table_csv/203_403.csv | 0 | {
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} | [
"which of these ships has a known date for completion?"
] | 2 | salt lake city, commandant teste, pensacola, itsukushima, lichtenfels, chester, britannic, northampton, houston | [
"Unnamed: 0",
"Country",
"Builder",
"Location",
"Ship",
"Class",
"Notes"
] | which of these ships has a known date for completion? | [
[
"23 January",
"United States",
"New York Shipbuilding Corporation",
"Camden, New Jersey",
"Salt Lake City",
"Pensacola-class cruiser",
"nan"
],
[
"12 April",
"France",
"Chantiers de la Gironde",
"Gironde",
"Commandant Teste",
"Seaplane carrier and tender",
... | [
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"Commandant Teste",
"Pensacola",
"Itsukushima",
"Lichtenfels",
"Chester",
"Britannic",
"Northampton",
"Houston"
] | which of these ships has a known date for completion? || |
nt-6593 | col : unnamed: 0 | country | builder | location | ship | class | notes row 1 : 23 january | united states | new york shipbuilding corporation | camden, new jersey | salt lake city | pensacola-class cruiser | nan row 2 : 12 april | france | chantiers de la gironde | gironde | commandant teste | seaplane carrier and tend... | table_csv/203_403.csv | 1 | {
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} | [
"which of these ships has a known date for completion?",
"of these ships, which were built in the united states?"
] | 2 | salt lake city, pensacola, chester, northampton, houston | [
"Unnamed: 0",
"Country",
"Builder",
"Location",
"Ship",
"Class",
"Notes"
] | of these ships, which were built in the united states? | [
[
"23 January",
"United States",
"New York Shipbuilding Corporation",
"Camden, New Jersey",
"Salt Lake City",
"Pensacola-class cruiser",
"nan"
],
[
"12 April",
"France",
"Chantiers de la Gironde",
"Gironde",
"Commandant Teste",
"Seaplane carrier and tender",
... | [
"Salt Lake City",
"Pensacola",
"Chester",
"Northampton",
"Houston"
] | of these ships, which were built in the united states? || which of these ships has a known date for completion? |
nt-6593 | col : unnamed: 0 | country | builder | location | ship | class | notes row 1 : 23 january | united states | new york shipbuilding corporation | camden, new jersey | salt lake city | pensacola-class cruiser | nan row 2 : 12 april | france | chantiers de la gironde | gironde | commandant teste | seaplane carrier and tend... | table_csv/203_403.csv | 2 | {
"column_index": [
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"row_index": [
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]
} | [
"which of these ships has a known date for completion?",
"of these ships, which were built in the united states?",
"which of them were built in new york?"
] | 2 | pensacola | [
"Unnamed: 0",
"Country",
"Builder",
"Location",
"Ship",
"Class",
"Notes"
] | which of them were built in new york? | [
[
"23 January",
"United States",
"New York Shipbuilding Corporation",
"Camden, New Jersey",
"Salt Lake City",
"Pensacola-class cruiser",
"nan"
],
[
"12 April",
"France",
"Chantiers de la Gironde",
"Gironde",
"Commandant Teste",
"Seaplane carrier and tender",
... | [
"Pensacola"
] | which of them were built in new york? || of these ships, which were built in the united states? | which of these ships has a known date for completion? |
nt-5399 | col : state | swimsuit | interview | evening gown | average | finalists row 1 : iowa | 9.267 | 9.651 | 9.62 | 9.513 | 9.8 row 2 : oklahoma | 9.226 | 9.309 | 9.487 | 9.341 | 9.586 row 3 : kansas | 9.221 | 9.6 | 9.6 | 9.474 | 9.486 row 4 : alabama | 9.01 | 9.326 | 9.449 | 9.262 | 9.471 row 5 : north carolina | 9.079 | 9.... | table_csv/203_523.csv | 0 | {
"column_index": [
0
],
"row_index": [
0
]
} | [
"which state came first"
] | 0 | iowa | [
"State",
"Swimsuit",
"Interview",
"Evening Gown",
"Average",
"Finalists"
] | which state came first | [
[
"Iowa",
"9.267",
"9.651",
"9.62",
"9.513",
"9.8"
],
[
"Oklahoma",
"9.226",
"9.309",
"9.487",
"9.341",
"9.586"
],
[
"Kansas",
"9.221",
"9.6",
"9.6",
"9.474",
"9.486"
],
[
"Alabama",
"9.01",
"9.326",
"9.449",
"9.... | [
"Iowa"
] | which state came first || |
nt-5399 | col : state | swimsuit | interview | evening gown | average | finalists row 1 : iowa | 9.267 | 9.651 | 9.62 | 9.513 | 9.8 row 2 : oklahoma | 9.226 | 9.309 | 9.487 | 9.341 | 9.586 row 3 : kansas | 9.221 | 9.6 | 9.6 | 9.474 | 9.486 row 4 : alabama | 9.01 | 9.326 | 9.449 | 9.262 | 9.471 row 5 : north carolina | 9.079 | 9.... | table_csv/203_523.csv | 1 | {
"column_index": [
0
],
"row_index": [
2
]
} | [
"which state came first",
"which state came third?"
] | 0 | kansas | [
"State",
"Swimsuit",
"Interview",
"Evening Gown",
"Average",
"Finalists"
] | which state came third? | [
[
"Iowa",
"9.267",
"9.651",
"9.62",
"9.513",
"9.8"
],
[
"Oklahoma",
"9.226",
"9.309",
"9.487",
"9.341",
"9.586"
],
[
"Kansas",
"9.221",
"9.6",
"9.6",
"9.474",
"9.486"
],
[
"Alabama",
"9.01",
"9.326",
"9.449",
"9.... | [
"Kansas"
] | which state came third? || which state came first |
nt-5399 | col : state | swimsuit | interview | evening gown | average | finalists row 1 : iowa | 9.267 | 9.651 | 9.62 | 9.513 | 9.8 row 2 : oklahoma | 9.226 | 9.309 | 9.487 | 9.341 | 9.586 row 3 : kansas | 9.221 | 9.6 | 9.6 | 9.474 | 9.486 row 4 : alabama | 9.01 | 9.326 | 9.449 | 9.262 | 9.471 row 5 : north carolina | 9.079 | 9.... | table_csv/203_523.csv | 0 | {
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11
]
} | [
"what are the scores of the evening gown event of the miss teen usa 1992?"
] | 1 | 9.620, 9.487, 9.600, 9.449, 9.500, 9.486, 9.341, 9.271, 9.370, 9.279, 9.247, 9.286 | [
"State",
"Swimsuit",
"Interview",
"Evening Gown",
"Average",
"Finalists"
] | what are the scores of the evening gown event of the miss teen usa 1992? | [
[
"Iowa",
"9.267",
"9.651",
"9.62",
"9.513",
"9.8"
],
[
"Oklahoma",
"9.226",
"9.309",
"9.487",
"9.341",
"9.586"
],
[
"Kansas",
"9.221",
"9.6",
"9.6",
"9.474",
"9.486"
],
[
"Alabama",
"9.01",
"9.326",
"9.449",
"9.... | [
"9.620",
"9.487",
"9.600",
"9.449",
"9.500",
"9.486",
"9.341",
"9.271",
"9.370",
"9.279",
"9.247",
"9.286"
] | what are the scores of the evening gown event of the miss teen usa 1992? || |
nt-5399 | col : state | swimsuit | interview | evening gown | average | finalists row 1 : iowa | 9.267 | 9.651 | 9.62 | 9.513 | 9.8 row 2 : oklahoma | 9.226 | 9.309 | 9.487 | 9.341 | 9.586 row 3 : kansas | 9.221 | 9.6 | 9.6 | 9.474 | 9.486 row 4 : alabama | 9.01 | 9.326 | 9.449 | 9.262 | 9.471 row 5 : north carolina | 9.079 | 9.... | table_csv/203_523.csv | 1 | {
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} | [
"what are the scores of the evening gown event of the miss teen usa 1992?",
"which of these has the same value for the interview?"
] | 1 | 9.600 | [
"State",
"Swimsuit",
"Interview",
"Evening Gown",
"Average",
"Finalists"
] | which of these has the same value for the interview? | [
[
"Iowa",
"9.267",
"9.651",
"9.62",
"9.513",
"9.8"
],
[
"Oklahoma",
"9.226",
"9.309",
"9.487",
"9.341",
"9.586"
],
[
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"9.221",
"9.6",
"9.6",
"9.474",
"9.486"
],
[
"Alabama",
"9.01",
"9.326",
"9.449",
"9.... | [
"9.600"
] | which of these has the same value for the interview? || what are the scores of the evening gown event of the miss teen usa 1992? |
nt-5399 | col : state | swimsuit | interview | evening gown | average | finalists row 1 : iowa | 9.267 | 9.651 | 9.62 | 9.513 | 9.8 row 2 : oklahoma | 9.226 | 9.309 | 9.487 | 9.341 | 9.586 row 3 : kansas | 9.221 | 9.6 | 9.6 | 9.474 | 9.486 row 4 : alabama | 9.01 | 9.326 | 9.449 | 9.262 | 9.471 row 5 : north carolina | 9.079 | 9.... | table_csv/203_523.csv | 2 | {
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0
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"row_index": [
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} | [
"what are the scores of the evening gown event of the miss teen usa 1992?",
"which of these has the same value for the interview?",
"which state received this score?"
] | 1 | kansas | [
"State",
"Swimsuit",
"Interview",
"Evening Gown",
"Average",
"Finalists"
] | which state received this score? | [
[
"Iowa",
"9.267",
"9.651",
"9.62",
"9.513",
"9.8"
],
[
"Oklahoma",
"9.226",
"9.309",
"9.487",
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"9.586"
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[
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"9.6",
"9.6",
"9.474",
"9.486"
],
[
"Alabama",
"9.01",
"9.326",
"9.449",
"9.... | [
"Kansas"
] | which state received this score? || which of these has the same value for the interview? | what are the scores of the evening gown event of the miss teen usa 1992? |
nt-5399 | col : state | swimsuit | interview | evening gown | average | finalists row 1 : iowa | 9.267 | 9.651 | 9.62 | 9.513 | 9.8 row 2 : oklahoma | 9.226 | 9.309 | 9.487 | 9.341 | 9.586 row 3 : kansas | 9.221 | 9.6 | 9.6 | 9.474 | 9.486 row 4 : alabama | 9.01 | 9.326 | 9.449 | 9.262 | 9.471 row 5 : north carolina | 9.079 | 9.... | table_csv/203_523.csv | 0 | {
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} | [
"which states were represented in the miss teen usa 1992 competition?"
] | 2 | iowa, oklahoma, kansas, alabama, north carolina, california, rhode island, maryland, indiana, virginia, mississippi, illinois | [
"State",
"Swimsuit",
"Interview",
"Evening Gown",
"Average",
"Finalists"
] | which states were represented in the miss teen usa 1992 competition? | [
[
"Iowa",
"9.267",
"9.651",
"9.62",
"9.513",
"9.8"
],
[
"Oklahoma",
"9.226",
"9.309",
"9.487",
"9.341",
"9.586"
],
[
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"9.221",
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"9.6",
"9.474",
"9.486"
],
[
"Alabama",
"9.01",
"9.326",
"9.449",
"9.... | [
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"Oklahoma",
"Kansas",
"Alabama",
"North Carolina",
"California",
"Rhode Island",
"Maryland",
"Indiana",
"Virginia",
"Mississippi",
"Illinois"
] | which states were represented in the miss teen usa 1992 competition? || |
nt-5399 | col : state | swimsuit | interview | evening gown | average | finalists row 1 : iowa | 9.267 | 9.651 | 9.62 | 9.513 | 9.8 row 2 : oklahoma | 9.226 | 9.309 | 9.487 | 9.341 | 9.586 row 3 : kansas | 9.221 | 9.6 | 9.6 | 9.474 | 9.486 row 4 : alabama | 9.01 | 9.326 | 9.449 | 9.262 | 9.471 row 5 : north carolina | 9.079 | 9.... | table_csv/203_523.csv | 1 | {
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} | [
"which states were represented in the miss teen usa 1992 competition?",
"what were the interview scores?"
] | 2 | 9.651, 9.309, 9.600, 9.326, 9.207, 9.514, 9.279, 9.206, 9.103, 9.112, 9.200, 8.969 | [
"State",
"Swimsuit",
"Interview",
"Evening Gown",
"Average",
"Finalists"
] | what were the interview scores? | [
[
"Iowa",
"9.267",
"9.651",
"9.62",
"9.513",
"9.8"
],
[
"Oklahoma",
"9.226",
"9.309",
"9.487",
"9.341",
"9.586"
],
[
"Kansas",
"9.221",
"9.6",
"9.6",
"9.474",
"9.486"
],
[
"Alabama",
"9.01",
"9.326",
"9.449",
"9.... | [
"9.651",
"9.309",
"9.600",
"9.326",
"9.207",
"9.514",
"9.279",
"9.206",
"9.103",
"9.112",
"9.200",
"8.969"
] | what were the interview scores? || which states were represented in the miss teen usa 1992 competition? |
nt-5399 | col : state | swimsuit | interview | evening gown | average | finalists row 1 : iowa | 9.267 | 9.651 | 9.62 | 9.513 | 9.8 row 2 : oklahoma | 9.226 | 9.309 | 9.487 | 9.341 | 9.586 row 3 : kansas | 9.221 | 9.6 | 9.6 | 9.474 | 9.486 row 4 : alabama | 9.01 | 9.326 | 9.449 | 9.262 | 9.471 row 5 : north carolina | 9.079 | 9.... | table_csv/203_523.csv | 2 | {
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} | [
"which states were represented in the miss teen usa 1992 competition?",
"what were the interview scores?",
"and what about their evening gown scores?"
] | 2 | 9.620, 9.487, 9.600, 9.449, 9.500, 9.486, 9.341, 9.271, 9.370, 9.279, 9.247, 9.286 | [
"State",
"Swimsuit",
"Interview",
"Evening Gown",
"Average",
"Finalists"
] | and what about their evening gown scores? | [
[
"Iowa",
"9.267",
"9.651",
"9.62",
"9.513",
"9.8"
],
[
"Oklahoma",
"9.226",
"9.309",
"9.487",
"9.341",
"9.586"
],
[
"Kansas",
"9.221",
"9.6",
"9.6",
"9.474",
"9.486"
],
[
"Alabama",
"9.01",
"9.326",
"9.449",
"9.... | [
"9.620",
"9.487",
"9.600",
"9.449",
"9.500",
"9.486",
"9.341",
"9.271",
"9.370",
"9.279",
"9.247",
"9.286"
] | and what about their evening gown scores? || what were the interview scores? | which states were represented in the miss teen usa 1992 competition? |
nt-5399 | col : state | swimsuit | interview | evening gown | average | finalists row 1 : iowa | 9.267 | 9.651 | 9.62 | 9.513 | 9.8 row 2 : oklahoma | 9.226 | 9.309 | 9.487 | 9.341 | 9.586 row 3 : kansas | 9.221 | 9.6 | 9.6 | 9.474 | 9.486 row 4 : alabama | 9.01 | 9.326 | 9.449 | 9.262 | 9.471 row 5 : north carolina | 9.079 | 9.... | table_csv/203_523.csv | 3 | {
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} | [
"which states were represented in the miss teen usa 1992 competition?",
"what were the interview scores?",
"and what about their evening gown scores?",
"which of the finalists scored the same in both interview and evening gown?"
] | 2 | kansas | [
"State",
"Swimsuit",
"Interview",
"Evening Gown",
"Average",
"Finalists"
] | which of the finalists scored the same in both interview and evening gown? | [
[
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"9.267",
"9.651",
"9.62",
"9.513",
"9.8"
],
[
"Oklahoma",
"9.226",
"9.309",
"9.487",
"9.341",
"9.586"
],
[
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"9.221",
"9.6",
"9.6",
"9.474",
"9.486"
],
[
"Alabama",
"9.01",
"9.326",
"9.449",
"9.... | [
"Kansas"
] | which of the finalists scored the same in both interview and evening gown? || and what about their evening gown scores? | what were the interview scores? | which states were represented in the miss teen usa 1992 competition? |
ns-2735 | col : category | speed (km/h) | speed (mph) | vehicle | pilot | date row 1 : rocket-powered aircraft | 7,258 | 4,510 | north american x-15 | william j. knight | 3 oct 1967 row 2 : manned air-breathing craft | 3,530 | 2,194 | lockheed sr-71 blackbird | eldon w. joersz | 28 jul 1976 row 3 : propeller-driven aircraft | 87... | table_csv/203_688.csv | 0 | {
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} | [
"what are all of the categories?"
] | 0 | rocket-powered aircraft, manned air-breathing craft, propeller-driven aircraft, piston-engined propeller-driven aircraft, helicopter, glider (sailplane), human-powered aircraft | [
"Category",
"Speed (km/h)",
"Speed (mph)",
"Vehicle",
"Pilot",
"Date"
] | what are all of the categories? | [
[
"Rocket-powered aircraft",
"7,258",
"4,510",
"North American X-15",
"William J. Knight",
"3 Oct 1967"
],
[
"Manned air-breathing craft",
"3,530",
"2,194",
"Lockheed SR-71 Blackbird",
"Eldon W. Joersz",
"28 Jul 1976"
],
[
"Propeller-driven aircraft",
... | [
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"Manned air-breathing craft",
"Propeller-driven aircraft",
"Piston-engined propeller-driven aircraft",
"Helicopter",
"Glider (sailplane)",
"Human-powered aircraft"
] | what are all of the categories? || |
ns-2735 | col : category | speed (km/h) | speed (mph) | vehicle | pilot | date row 1 : rocket-powered aircraft | 7,258 | 4,510 | north american x-15 | william j. knight | 3 oct 1967 row 2 : manned air-breathing craft | 3,530 | 2,194 | lockheed sr-71 blackbird | eldon w. joersz | 28 jul 1976 row 3 : propeller-driven aircraft | 87... | table_csv/203_688.csv | 1 | {
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} | [
"what are all of the categories?",
"what are the speed totals under mph?"
] | 0 | 4,510, 2,194, 541, 528.33, 249.1, 190.6, 19.8 | [
"Category",
"Speed (km/h)",
"Speed (mph)",
"Vehicle",
"Pilot",
"Date"
] | what are the speed totals under mph? | [
[
"Rocket-powered aircraft",
"7,258",
"4,510",
"North American X-15",
"William J. Knight",
"3 Oct 1967"
],
[
"Manned air-breathing craft",
"3,530",
"2,194",
"Lockheed SR-71 Blackbird",
"Eldon W. Joersz",
"28 Jul 1976"
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[
"Propeller-driven aircraft",
... | [
"4,510",
"2,194",
"541",
"528.33",
"249.1",
"190.6",
"19.8"
] | what are the speed totals under mph? || what are all of the categories? |
ns-2735 | col : category | speed (km/h) | speed (mph) | vehicle | pilot | date row 1 : rocket-powered aircraft | 7,258 | 4,510 | north american x-15 | william j. knight | 3 oct 1967 row 2 : manned air-breathing craft | 3,530 | 2,194 | lockheed sr-71 blackbird | eldon w. joersz | 28 jul 1976 row 3 : propeller-driven aircraft | 87... | table_csv/203_688.csv | 2 | {
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"row_index": [
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} | [
"what are all of the categories?",
"what are the speed totals under mph?",
"which total is highest?"
] | 0 | 4,510 | [
"Category",
"Speed (km/h)",
"Speed (mph)",
"Vehicle",
"Pilot",
"Date"
] | which total is highest? | [
[
"Rocket-powered aircraft",
"7,258",
"4,510",
"North American X-15",
"William J. Knight",
"3 Oct 1967"
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[
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"3,530",
"2,194",
"Lockheed SR-71 Blackbird",
"Eldon W. Joersz",
"28 Jul 1976"
],
[
"Propeller-driven aircraft",
... | [
"4,510"
] | which total is highest? || what are the speed totals under mph? | what are all of the categories? |
ns-2735 | col : category | speed (km/h) | speed (mph) | vehicle | pilot | date row 1 : rocket-powered aircraft | 7,258 | 4,510 | north american x-15 | william j. knight | 3 oct 1967 row 2 : manned air-breathing craft | 3,530 | 2,194 | lockheed sr-71 blackbird | eldon w. joersz | 28 jul 1976 row 3 : propeller-driven aircraft | 87... | table_csv/203_688.csv | 3 | {
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"what are all of the categories?",
"what are the speed totals under mph?",
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"which category corresponds to that number?"
] | 0 | rocket-powered aircraft | [
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[
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... | [
"Rocket-powered aircraft"
] | which category corresponds to that number? || which total is highest? | what are the speed totals under mph? | what are all of the categories? |
ns-2735 | col : category | speed (km/h) | speed (mph) | vehicle | pilot | date row 1 : rocket-powered aircraft | 7,258 | 4,510 | north american x-15 | william j. knight | 3 oct 1967 row 2 : manned air-breathing craft | 3,530 | 2,194 | lockheed sr-71 blackbird | eldon w. joersz | 28 jul 1976 row 3 : propeller-driven aircraft | 87... | table_csv/203_688.csv | 0 | {
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"what are all of the categories?"
] | 1 | rocket-powered aircraft, manned air-breathing craft, propeller-driven aircraft, piston-engined propeller-driven aircraft, helicopter, glider (sailplane), human-powered aircraft | [
"Category",
"Speed (km/h)",
"Speed (mph)",
"Vehicle",
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] | what are all of the categories? | [
[
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[
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"Manned air-breathing craft",
"Propeller-driven aircraft",
"Piston-engined propeller-driven aircraft",
"Helicopter",
"Glider (sailplane)",
"Human-powered aircraft"
] | what are all of the categories? || |
ns-2735 | col : category | speed (km/h) | speed (mph) | vehicle | pilot | date row 1 : rocket-powered aircraft | 7,258 | 4,510 | north american x-15 | william j. knight | 3 oct 1967 row 2 : manned air-breathing craft | 3,530 | 2,194 | lockheed sr-71 blackbird | eldon w. joersz | 28 jul 1976 row 3 : propeller-driven aircraft | 87... | table_csv/203_688.csv | 1 | {
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"what are all of the categories?",
"and their speed in km/h?"
] | 1 | 7,258, 3,530, 870, 850.1, 401.0, 306.8, 32 | [
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"Speed (km/h)",
"Speed (mph)",
"Vehicle",
"Pilot",
"Date"
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[
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... | [
"7,258",
"3,530",
"870",
"850.1",
"401.0",
"306.8",
"32"
] | and their speed in km/h? || what are all of the categories? |
ns-2735 | col : category | speed (km/h) | speed (mph) | vehicle | pilot | date row 1 : rocket-powered aircraft | 7,258 | 4,510 | north american x-15 | william j. knight | 3 oct 1967 row 2 : manned air-breathing craft | 3,530 | 2,194 | lockheed sr-71 blackbird | eldon w. joersz | 28 jul 1976 row 3 : propeller-driven aircraft | 87... | table_csv/203_688.csv | 2 | {
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"what are all of the categories?",
"and their speed in km/h?",
"what about just between manned air-breathing craft and rocket-powered aircraft?"
] | 1 | 7,258, 3,530 | [
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"Speed (km/h)",
"Speed (mph)",
"Vehicle",
"Pilot",
"Date"
] | what about just between manned air-breathing craft and rocket-powered aircraft? | [
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[
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... | [
"7,258",
"3,530"
] | what about just between manned air-breathing craft and rocket-powered aircraft? || and their speed in km/h? | what are all of the categories? |
ns-2735 | col : category | speed (km/h) | speed (mph) | vehicle | pilot | date row 1 : rocket-powered aircraft | 7,258 | 4,510 | north american x-15 | william j. knight | 3 oct 1967 row 2 : manned air-breathing craft | 3,530 | 2,194 | lockheed sr-71 blackbird | eldon w. joersz | 28 jul 1976 row 3 : propeller-driven aircraft | 87... | table_csv/203_688.csv | 3 | {
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"what are all of the categories?",
"and their speed in km/h?",
"what about just between manned air-breathing craft and rocket-powered aircraft?",
"which of the two categories is faster?"
] | 1 | rocket-powered aircraft | [
"Category",
"Speed (km/h)",
"Speed (mph)",
"Vehicle",
"Pilot",
"Date"
] | which of the two categories is faster? | [
[
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"Eldon W. Joersz",
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],
[
"Propeller-driven aircraft",
... | [
"Rocket-powered aircraft"
] | which of the two categories is faster? || what about just between manned air-breathing craft and rocket-powered aircraft? | and their speed in km/h? | what are all of the categories? |
ns-2735 | col : category | speed (km/h) | speed (mph) | vehicle | pilot | date row 1 : rocket-powered aircraft | 7,258 | 4,510 | north american x-15 | william j. knight | 3 oct 1967 row 2 : manned air-breathing craft | 3,530 | 2,194 | lockheed sr-71 blackbird | eldon w. joersz | 28 jul 1976 row 3 : propeller-driven aircraft | 87... | table_csv/203_688.csv | 0 | {
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"what are the categories of the vehicle speed records?"
] | 2 | rocket-powered aircraft, manned air-breathing craft, propeller-driven aircraft, piston-engined propeller-driven aircraft, helicopter, glider (sailplane), human-powered aircraft | [
"Category",
"Speed (km/h)",
"Speed (mph)",
"Vehicle",
"Pilot",
"Date"
] | what are the categories of the vehicle speed records? | [
[
"Rocket-powered aircraft",
"7,258",
"4,510",
"North American X-15",
"William J. Knight",
"3 Oct 1967"
],
[
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"3,530",
"2,194",
"Lockheed SR-71 Blackbird",
"Eldon W. Joersz",
"28 Jul 1976"
],
[
"Propeller-driven aircraft",
... | [
"Rocket-powered aircraft",
"Manned air-breathing craft",
"Propeller-driven aircraft",
"Piston-engined propeller-driven aircraft",
"Helicopter",
"Glider (sailplane)",
"Human-powered aircraft"
] | what are the categories of the vehicle speed records? || |
ns-2735 | col : category | speed (km/h) | speed (mph) | vehicle | pilot | date row 1 : rocket-powered aircraft | 7,258 | 4,510 | north american x-15 | william j. knight | 3 oct 1967 row 2 : manned air-breathing craft | 3,530 | 2,194 | lockheed sr-71 blackbird | eldon w. joersz | 28 jul 1976 row 3 : propeller-driven aircraft | 87... | table_csv/203_688.csv | 1 | {
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0
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} | [
"what are the categories of the vehicle speed records?",
"of the top two which is faster?"
] | 2 | rocket-powered aircraft | [
"Category",
"Speed (km/h)",
"Speed (mph)",
"Vehicle",
"Pilot",
"Date"
] | of the top two which is faster? | [
[
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"4,510",
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"3 Oct 1967"
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[
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"2,194",
"Lockheed SR-71 Blackbird",
"Eldon W. Joersz",
"28 Jul 1976"
],
[
"Propeller-driven aircraft",
... | [
"Rocket-powered aircraft"
] | of the top two which is faster? || what are the categories of the vehicle speed records? |
nt-8513 | col : rank | city | county | state | percentage row 1 : 1 | palisades park | bergen county | new jersey | 36.38% (52% in 2010) row 2 : 2 | cerritos | los angeles county | california | 17.69% row 3 : 3 | la palma | orange county | california | 17.43% row 4 : 4 | leonia | bergen county | new jersey | 17.24% row 5 : 5 | f... | table_csv/204_190.csv | 0 | {
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} | [
"what are all the cities?"
] | 0 | palisades park, cerritos, la palma, leonia, fort lee, ridgefield, closter, norwood, edgewater, englewood cliffs | [
"Rank",
"City",
"County",
"State",
"Percentage"
] | what are all the cities? | [
[
"1",
"Palisades Park",
"Bergen County",
"New Jersey",
"36.38% (52% in 2010)"
],
[
"2",
"Cerritos",
"Los Angeles County",
"California",
"17.69%"
],
[
"3",
"La Palma",
"Orange County",
"California",
"17.43%"
],
[
"4",
"Leonia",
"Ber... | [
"Palisades Park",
"Cerritos",
"La Palma",
"Leonia",
"Fort Lee",
"Ridgefield",
"Closter",
"Norwood",
"Edgewater",
"Englewood Cliffs"
] | what are all the cities? || |
nt-8513 | col : rank | city | county | state | percentage row 1 : 1 | palisades park | bergen county | new jersey | 36.38% (52% in 2010) row 2 : 2 | cerritos | los angeles county | california | 17.69% row 3 : 3 | la palma | orange county | california | 17.43% row 4 : 4 | leonia | bergen county | new jersey | 17.24% row 5 : 5 | f... | table_csv/204_190.csv | 1 | {
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1
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"row_index": [
8,
9
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} | [
"what are all the cities?",
"which of these have a korean-american population under 12%?"
] | 0 | edgewater, englewood cliffs | [
"Rank",
"City",
"County",
"State",
"Percentage"
] | which of these have a korean-american population under 12%? | [
[
"1",
"Palisades Park",
"Bergen County",
"New Jersey",
"36.38% (52% in 2010)"
],
[
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"California",
"17.69%"
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[
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"Orange County",
"California",
"17.43%"
],
[
"4",
"Leonia",
"Ber... | [
"Edgewater",
"Englewood Cliffs"
] | which of these have a korean-american population under 12%? || what are all the cities? |
nt-8513 | col : rank | city | county | state | percentage row 1 : 1 | palisades park | bergen county | new jersey | 36.38% (52% in 2010) row 2 : 2 | cerritos | los angeles county | california | 17.69% row 3 : 3 | la palma | orange county | california | 17.43% row 4 : 4 | leonia | bergen county | new jersey | 17.24% row 5 : 5 | f... | table_csv/204_190.csv | 2 | {
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} | [
"what are all the cities?",
"which of these have a korean-american population under 12%?",
"which of these has the larger percentage?"
] | 0 | edgewater | [
"Rank",
"City",
"County",
"State",
"Percentage"
] | which of these has the larger percentage? | [
[
"1",
"Palisades Park",
"Bergen County",
"New Jersey",
"36.38% (52% in 2010)"
],
[
"2",
"Cerritos",
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[
"3",
"La Palma",
"Orange County",
"California",
"17.43%"
],
[
"4",
"Leonia",
"Ber... | [
"Edgewater"
] | which of these has the larger percentage? || which of these have a korean-american population under 12%? | what are all the cities? |
nt-8513 | col : rank | city | county | state | percentage row 1 : 1 | palisades park | bergen county | new jersey | 36.38% (52% in 2010) row 2 : 2 | cerritos | los angeles county | california | 17.69% row 3 : 3 | la palma | orange county | california | 17.43% row 4 : 4 | leonia | bergen county | new jersey | 17.24% row 5 : 5 | f... | table_csv/204_190.csv | 0 | {
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} | [
"which cities have a significant korean-american population?"
] | 1 | palisades park, cerritos, la palma, leonia, fort lee, ridgefield, closter, norwood, edgewater, englewood cliffs | [
"Rank",
"City",
"County",
"State",
"Percentage"
] | which cities have a significant korean-american population? | [
[
"1",
"Palisades Park",
"Bergen County",
"New Jersey",
"36.38% (52% in 2010)"
],
[
"2",
"Cerritos",
"Los Angeles County",
"California",
"17.69%"
],
[
"3",
"La Palma",
"Orange County",
"California",
"17.43%"
],
[
"4",
"Leonia",
"Ber... | [
"Palisades Park",
"Cerritos",
"La Palma",
"Leonia",
"Fort Lee",
"Ridgefield",
"Closter",
"Norwood",
"Edgewater",
"Englewood Cliffs"
] | which cities have a significant korean-american population? || |
nt-8513 | col : rank | city | county | state | percentage row 1 : 1 | palisades park | bergen county | new jersey | 36.38% (52% in 2010) row 2 : 2 | cerritos | los angeles county | california | 17.69% row 3 : 3 | la palma | orange county | california | 17.43% row 4 : 4 | leonia | bergen county | new jersey | 17.24% row 5 : 5 | f... | table_csv/204_190.csv | 1 | {
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} | [
"which cities have a significant korean-american population?",
"of these, which are located in new jersey?"
] | 1 | palisades park, leonia, fort lee, ridgefield, closter, norwood, edgewater, englewood cliffs | [
"Rank",
"City",
"County",
"State",
"Percentage"
] | of these, which are located in new jersey? | [
[
"1",
"Palisades Park",
"Bergen County",
"New Jersey",
"36.38% (52% in 2010)"
],
[
"2",
"Cerritos",
"Los Angeles County",
"California",
"17.69%"
],
[
"3",
"La Palma",
"Orange County",
"California",
"17.43%"
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[
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"Leonia",
"Ber... | [
"Palisades Park",
"Leonia",
"Fort Lee",
"Ridgefield",
"Closter",
"Norwood",
"Edgewater",
"Englewood Cliffs"
] | of these, which are located in new jersey? || which cities have a significant korean-american population? |
nt-8513 | col : rank | city | county | state | percentage row 1 : 1 | palisades park | bergen county | new jersey | 36.38% (52% in 2010) row 2 : 2 | cerritos | los angeles county | california | 17.69% row 3 : 3 | la palma | orange county | california | 17.43% row 4 : 4 | leonia | bergen county | new jersey | 17.24% row 5 : 5 | f... | table_csv/204_190.csv | 2 | {
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} | [
"which cities have a significant korean-american population?",
"of these, which are located in new jersey?",
"which of these have a percentage of less than 12%?"
] | 1 | edgewater, englewood cliffs | [
"Rank",
"City",
"County",
"State",
"Percentage"
] | which of these have a percentage of less than 12%? | [
[
"1",
"Palisades Park",
"Bergen County",
"New Jersey",
"36.38% (52% in 2010)"
],
[
"2",
"Cerritos",
"Los Angeles County",
"California",
"17.69%"
],
[
"3",
"La Palma",
"Orange County",
"California",
"17.43%"
],
[
"4",
"Leonia",
"Ber... | [
"Edgewater",
"Englewood Cliffs"
] | which of these have a percentage of less than 12%? || of these, which are located in new jersey? | which cities have a significant korean-american population? |
nt-8513 | col : rank | city | county | state | percentage row 1 : 1 | palisades park | bergen county | new jersey | 36.38% (52% in 2010) row 2 : 2 | cerritos | los angeles county | california | 17.69% row 3 : 3 | la palma | orange county | california | 17.43% row 4 : 4 | leonia | bergen county | new jersey | 17.24% row 5 : 5 | f... | table_csv/204_190.csv | 3 | {
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} | [
"which cities have a significant korean-american population?",
"of these, which are located in new jersey?",
"which of these have a percentage of less than 12%?",
"of the these two, which has the higher percentage?"
] | 1 | edgewater | [
"Rank",
"City",
"County",
"State",
"Percentage"
] | of the these two, which has the higher percentage? | [
[
"1",
"Palisades Park",
"Bergen County",
"New Jersey",
"36.38% (52% in 2010)"
],
[
"2",
"Cerritos",
"Los Angeles County",
"California",
"17.69%"
],
[
"3",
"La Palma",
"Orange County",
"California",
"17.43%"
],
[
"4",
"Leonia",
"Ber... | [
"Edgewater"
] | of the these two, which has the higher percentage? || which of these have a percentage of less than 12%? | of these, which are located in new jersey? | which cities have a significant korean-american population? |
nt-8513 | col : rank | city | county | state | percentage row 1 : 1 | palisades park | bergen county | new jersey | 36.38% (52% in 2010) row 2 : 2 | cerritos | los angeles county | california | 17.69% row 3 : 3 | la palma | orange county | california | 17.43% row 4 : 4 | leonia | bergen county | new jersey | 17.24% row 5 : 5 | f... | table_csv/204_190.csv | 0 | {
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} | [
"what are the u.s cities with significan korean-american populations?"
] | 2 | palisades park, cerritos, la palma, leonia, fort lee, ridgefield, closter, norwood, edgewater, englewood cliffs | [
"Rank",
"City",
"County",
"State",
"Percentage"
] | what are the u.s cities with significan korean-american populations? | [
[
"1",
"Palisades Park",
"Bergen County",
"New Jersey",
"36.38% (52% in 2010)"
],
[
"2",
"Cerritos",
"Los Angeles County",
"California",
"17.69%"
],
[
"3",
"La Palma",
"Orange County",
"California",
"17.43%"
],
[
"4",
"Leonia",
"Ber... | [
"Palisades Park",
"Cerritos",
"La Palma",
"Leonia",
"Fort Lee",
"Ridgefield",
"Closter",
"Norwood",
"Edgewater",
"Englewood Cliffs"
] | what are the u.s cities with significan korean-american populations? || |
nt-8513 | col : rank | city | county | state | percentage row 1 : 1 | palisades park | bergen county | new jersey | 36.38% (52% in 2010) row 2 : 2 | cerritos | los angeles county | california | 17.69% row 3 : 3 | la palma | orange county | california | 17.43% row 4 : 4 | leonia | bergen county | new jersey | 17.24% row 5 : 5 | f... | table_csv/204_190.csv | 1 | {
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1
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9
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} | [
"what are the u.s cities with significan korean-american populations?",
"which of this cities have less than 12%?"
] | 2 | edgewater, englewood cliffs | [
"Rank",
"City",
"County",
"State",
"Percentage"
] | which of this cities have less than 12%? | [
[
"1",
"Palisades Park",
"Bergen County",
"New Jersey",
"36.38% (52% in 2010)"
],
[
"2",
"Cerritos",
"Los Angeles County",
"California",
"17.69%"
],
[
"3",
"La Palma",
"Orange County",
"California",
"17.43%"
],
[
"4",
"Leonia",
"Ber... | [
"Edgewater",
"Englewood Cliffs"
] | which of this cities have less than 12%? || what are the u.s cities with significan korean-american populations? |
nt-8513 | col : rank | city | county | state | percentage row 1 : 1 | palisades park | bergen county | new jersey | 36.38% (52% in 2010) row 2 : 2 | cerritos | los angeles county | california | 17.69% row 3 : 3 | la palma | orange county | california | 17.43% row 4 : 4 | leonia | bergen county | new jersey | 17.24% row 5 : 5 | f... | table_csv/204_190.csv | 2 | {
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1
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8
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} | [
"what are the u.s cities with significan korean-american populations?",
"which of this cities have less than 12%?",
"which of these two is higher?"
] | 2 | edgewater | [
"Rank",
"City",
"County",
"State",
"Percentage"
] | which of these two is higher? | [
[
"1",
"Palisades Park",
"Bergen County",
"New Jersey",
"36.38% (52% in 2010)"
],
[
"2",
"Cerritos",
"Los Angeles County",
"California",
"17.69%"
],
[
"3",
"La Palma",
"Orange County",
"California",
"17.43%"
],
[
"4",
"Leonia",
"Ber... | [
"Edgewater"
] | which of these two is higher? || which of this cities have less than 12%? | what are the u.s cities with significan korean-american populations? |
ns-2730 | col : week | date | opponent | result | record | game site row 1 : 1 | march 31, 2006 | louisville fire | w 45-37 | 1-0 | wachovia arena row 2 : 2 | bye | bye | bye | bye | bye row 3 : 3 | april 14, 2006 | albany conquest | w 55-48 (ot) | 2-0 | times union center row 4 : 4 | april 21, 2006 | south georgia wildcats | w ... | table_csv/204_644.csv | 0 | {
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} | [
"what are the dates for the 2006 wilkes-barre/scranton pioneers season?"
] | 0 | march 31, 2006, bye, april 14, 2006, april 21, 2006, april 29, 2006, may 5, 2006, may 13, 2006, may 20, 2006, may 27, 2006, june 3, 2006, june 10, 2006, june 17, 2006, june 24, 2006, bye, july 8, 2006, july 14, 2006, july 22, 2006, july 29, 2006 | [
"Week",
"Date",
"Opponent",
"Result",
"Record",
"Game site"
] | what are the dates for the 2006 wilkes-barre/scranton pioneers season? | [
[
"1",
"March 31, 2006",
"Louisville Fire",
"W 45-37",
"1-0",
"Wachovia Arena"
],
[
"2",
"Bye",
"Bye",
"Bye",
"Bye",
"Bye"
],
[
"3",
"April 14, 2006",
"Albany Conquest",
"W 55-48 (OT)",
"2-0",
"Times Union Center"
],
[
"4",
... | [
"March 31, 2006",
"Bye",
"April 14, 2006",
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"Bye",
"July 8, 2006",
"July 14, 2006",
"July 22, 2006",
"July 29, 2006"
... | what are the dates for the 2006 wilkes-barre/scranton pioneers season? || |
ns-2730 | col : week | date | opponent | result | record | game site row 1 : 1 | march 31, 2006 | louisville fire | w 45-37 | 1-0 | wachovia arena row 2 : 2 | bye | bye | bye | bye | bye row 3 : 3 | april 14, 2006 | albany conquest | w 55-48 (ot) | 2-0 | times union center row 4 : 4 | april 21, 2006 | south georgia wildcats | w ... | table_csv/204_644.csv | 1 | {
"column_index": [
1,
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],
"row_index": [
5,
12
]
} | [
"what are the dates for the 2006 wilkes-barre/scranton pioneers season?",
"which ones were against the green bay blizzards?"
] | 0 | may 5, 2006, june 24, 2006 | [
"Week",
"Date",
"Opponent",
"Result",
"Record",
"Game site"
] | which ones were against the green bay blizzards? | [
[
"1",
"March 31, 2006",
"Louisville Fire",
"W 45-37",
"1-0",
"Wachovia Arena"
],
[
"2",
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"Bye",
"Bye"
],
[
"3",
"April 14, 2006",
"Albany Conquest",
"W 55-48 (OT)",
"2-0",
"Times Union Center"
],
[
"4",
... | [
"May 5, 2006",
"June 24, 2006"
] | which ones were against the green bay blizzards? || what are the dates for the 2006 wilkes-barre/scranton pioneers season? |
ns-2730 | col : week | date | opponent | result | record | game site row 1 : 1 | march 31, 2006 | louisville fire | w 45-37 | 1-0 | wachovia arena row 2 : 2 | bye | bye | bye | bye | bye row 3 : 3 | april 14, 2006 | albany conquest | w 55-48 (ot) | 2-0 | times union center row 4 : 4 | april 21, 2006 | south georgia wildcats | w ... | table_csv/204_644.csv | 2 | {
"column_index": [
1
],
"row_index": [
12
]
} | [
"what are the dates for the 2006 wilkes-barre/scranton pioneers season?",
"which ones were against the green bay blizzards?",
"in which of those games did the lose?"
] | 0 | june 24, 2006 | [
"Week",
"Date",
"Opponent",
"Result",
"Record",
"Game site"
] | in which of those games did the lose? | [
[
"1",
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"W 45-37",
"1-0",
"Wachovia Arena"
],
[
"2",
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"Bye",
"Bye",
"Bye"
],
[
"3",
"April 14, 2006",
"Albany Conquest",
"W 55-48 (OT)",
"2-0",
"Times Union Center"
],
[
"4",
... | [
"June 24, 2006"
] | in which of those games did the lose? || which ones were against the green bay blizzards? | what are the dates for the 2006 wilkes-barre/scranton pioneers season? |
ns-2730 | col : week | date | opponent | result | record | game site row 1 : 1 | march 31, 2006 | louisville fire | w 45-37 | 1-0 | wachovia arena row 2 : 2 | bye | bye | bye | bye | bye row 3 : 3 | april 14, 2006 | albany conquest | w 55-48 (ot) | 2-0 | times union center row 4 : 4 | april 21, 2006 | south georgia wildcats | w ... | table_csv/204_644.csv | 0 | {
"column_index": [
1,
1
],
"row_index": [
5,
12
]
} | [
"what days did the pioneers play the green bay blizzard?"
] | 1 | may 5, 2006, june 24, 2006 | [
"Week",
"Date",
"Opponent",
"Result",
"Record",
"Game site"
] | what days did the pioneers play the green bay blizzard? | [
[
"1",
"March 31, 2006",
"Louisville Fire",
"W 45-37",
"1-0",
"Wachovia Arena"
],
[
"2",
"Bye",
"Bye",
"Bye",
"Bye",
"Bye"
],
[
"3",
"April 14, 2006",
"Albany Conquest",
"W 55-48 (OT)",
"2-0",
"Times Union Center"
],
[
"4",
... | [
"May 5, 2006",
"June 24, 2006"
] | what days did the pioneers play the green bay blizzard? || |
ns-2730 | col : week | date | opponent | result | record | game site row 1 : 1 | march 31, 2006 | louisville fire | w 45-37 | 1-0 | wachovia arena row 2 : 2 | bye | bye | bye | bye | bye row 3 : 3 | april 14, 2006 | albany conquest | w 55-48 (ot) | 2-0 | times union center row 4 : 4 | april 21, 2006 | south georgia wildcats | w ... | table_csv/204_644.csv | 1 | {
"column_index": [
1
],
"row_index": [
12
]
} | [
"what days did the pioneers play the green bay blizzard?",
"which did they lose?"
] | 1 | june 24, 2006 | [
"Week",
"Date",
"Opponent",
"Result",
"Record",
"Game site"
] | which did they lose? | [
[
"1",
"March 31, 2006",
"Louisville Fire",
"W 45-37",
"1-0",
"Wachovia Arena"
],
[
"2",
"Bye",
"Bye",
"Bye",
"Bye",
"Bye"
],
[
"3",
"April 14, 2006",
"Albany Conquest",
"W 55-48 (OT)",
"2-0",
"Times Union Center"
],
[
"4",
... | [
"June 24, 2006"
] | which did they lose? || what days did the pioneers play the green bay blizzard? |
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