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nt-7536 | col : unnamed: 0 | 1948 | 1952 | 1956 | 1960 | 1964 row 1 : all voters | 50.0 | 45.0 | 42 | 50 | 61 row 2 : white | 50.0 | 43.0 | 41 | 49 | 59 row 3 : black | 50.0 | 79.0 | 61 | 68 | 94 row 4 : college educated | 22.0 | 34.0 | 31 | 39 | 52 row 5 : high school educated | 51.0 | 45.0 | 42 | 52 | 62 row 6 : grade school e... | table_csv/204_581.csv | 1 | {
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nt-7536 | col : unnamed: 0 | 1948 | 1952 | 1956 | 1960 | 1964 row 1 : all voters | 50.0 | 45.0 | 42 | 50 | 61 row 2 : white | 50.0 | 43.0 | 41 | 49 | 59 row 3 : black | 50.0 | 79.0 | 61 | 68 | 94 row 4 : college educated | 22.0 | 34.0 | 31 | 39 | 52 row 5 : high school educated | 51.0 | 45.0 | 42 | 52 | 62 row 6 : grade school e... | table_csv/204_581.csv | 2 | {
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nt-7536 | col : unnamed: 0 | 1948 | 1952 | 1956 | 1960 | 1964 row 1 : all voters | 50.0 | 45.0 | 42 | 50 | 61 row 2 : white | 50.0 | 43.0 | 41 | 49 | 59 row 3 : black | 50.0 | 79.0 | 61 | 68 | 94 row 4 : college educated | 22.0 | 34.0 | 31 | 39 | 52 row 5 : high school educated | 51.0 | 45.0 | 42 | 52 | 62 row 6 : grade school e... | table_csv/204_581.csv | 0 | {
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nt-7536 | col : unnamed: 0 | 1948 | 1952 | 1956 | 1960 | 1964 row 1 : all voters | 50.0 | 45.0 | 42 | 50 | 61 row 2 : white | 50.0 | 43.0 | 41 | 49 | 59 row 3 : black | 50.0 | 79.0 | 61 | 68 | 94 row 4 : college educated | 22.0 | 34.0 | 31 | 39 | 52 row 5 : high school educated | 51.0 | 45.0 | 42 | 52 | 62 row 6 : grade school e... | table_csv/204_581.csv | 1 | {
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nt-7536 | col : unnamed: 0 | 1948 | 1952 | 1956 | 1960 | 1964 row 1 : all voters | 50.0 | 45.0 | 42 | 50 | 61 row 2 : white | 50.0 | 43.0 | 41 | 49 | 59 row 3 : black | 50.0 | 79.0 | 61 | 68 | 94 row 4 : college educated | 22.0 | 34.0 | 31 | 39 | 52 row 5 : high school educated | 51.0 | 45.0 | 42 | 52 | 62 row 6 : grade school e... | table_csv/204_581.csv | 2 | {
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nt-7536 | col : unnamed: 0 | 1948 | 1952 | 1956 | 1960 | 1964 row 1 : all voters | 50.0 | 45.0 | 42 | 50 | 61 row 2 : white | 50.0 | 43.0 | 41 | 49 | 59 row 3 : black | 50.0 | 79.0 | 61 | 68 | 94 row 4 : college educated | 22.0 | 34.0 | 31 | 39 | 52 row 5 : high school educated | 51.0 | 45.0 | 42 | 52 | 62 row 6 : grade school e... | table_csv/204_581.csv | 3 | {
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nt-7536 | col : unnamed: 0 | 1948 | 1952 | 1956 | 1960 | 1964 row 1 : all voters | 50.0 | 45.0 | 42 | 50 | 61 row 2 : white | 50.0 | 43.0 | 41 | 49 | 59 row 3 : black | 50.0 | 79.0 | 61 | 68 | 94 row 4 : college educated | 22.0 | 34.0 | 31 | 39 | 52 row 5 : high school educated | 51.0 | 45.0 | 42 | 52 | 62 row 6 : grade school e... | table_csv/204_581.csv | 0 | {
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"what percentage in 1956 does the white group have?"
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nt-7536 | col : unnamed: 0 | 1948 | 1952 | 1956 | 1960 | 1964 row 1 : all voters | 50.0 | 45.0 | 42 | 50 | 61 row 2 : white | 50.0 | 43.0 | 41 | 49 | 59 row 3 : black | 50.0 | 79.0 | 61 | 68 | 94 row 4 : college educated | 22.0 | 34.0 | 31 | 39 | 52 row 5 : high school educated | 51.0 | 45.0 | 42 | 52 | 62 row 6 : grade school e... | table_csv/204_581.csv | 1 | {
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"what percentage in 1956 does the white group have?",
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nt-7536 | col : unnamed: 0 | 1948 | 1952 | 1956 | 1960 | 1964 row 1 : all voters | 50.0 | 45.0 | 42 | 50 | 61 row 2 : white | 50.0 | 43.0 | 41 | 49 | 59 row 3 : black | 50.0 | 79.0 | 61 | 68 | 94 row 4 : college educated | 22.0 | 34.0 | 31 | 39 | 52 row 5 : high school educated | 51.0 | 45.0 | 42 | 52 | 62 row 6 : grade school e... | table_csv/204_581.csv | 2 | {
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nt-7717 | col : # | district | land area (km2) | population (2010 census) | density (persons/km2) row 1 : 1.0 | anse la raye | 30.9 | 6,247 | 210 row 2 : 2.0 | praslin | 16.0 | 2,044 | 119 row 3 : 3.0 | castries | 79.5 | 65,656 | 776 row 4 : 4.0 | choiseul | 31.3 | 6,098 | 206 row 5 : 5.0 | dennery | 69.7 | 12,599 | 182 row 6 : ... | table_csv/203_212.csv | 0 | {
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] | 0 | anse la raye, praslin, castries, choiseul, dennery, forest reserve, gros islet, laborie, micoud, soufriere, vieux fort | [
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"District",
"Land area (km2)",
"Population (2010 census)",
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"Soufriere",
"Vieux Fort"
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nt-7717 | col : # | district | land area (km2) | population (2010 census) | density (persons/km2) row 1 : 1.0 | anse la raye | 30.9 | 6,247 | 210 row 2 : 2.0 | praslin | 16.0 | 2,044 | 119 row 3 : 3.0 | castries | 79.5 | 65,656 | 776 row 4 : 4.0 | choiseul | 31.3 | 6,098 | 206 row 5 : 5.0 | dennery | 69.7 | 12,599 | 182 row 6 : ... | table_csv/203_212.csv | 1 | {
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nt-7717 | col : # | district | land area (km2) | population (2010 census) | density (persons/km2) row 1 : 1.0 | anse la raye | 30.9 | 6,247 | 210 row 2 : 2.0 | praslin | 16.0 | 2,044 | 119 row 3 : 3.0 | castries | 79.5 | 65,656 | 776 row 4 : 4.0 | choiseul | 31.3 | 6,098 | 206 row 5 : 5.0 | dennery | 69.7 | 12,599 | 182 row 6 : ... | table_csv/203_212.csv | 2 | {
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"what are all the districts?"
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nt-7717 | col : # | district | land area (km2) | population (2010 census) | density (persons/km2) row 1 : 1.0 | anse la raye | 30.9 | 6,247 | 210 row 2 : 2.0 | praslin | 16.0 | 2,044 | 119 row 3 : 3.0 | castries | 79.5 | 65,656 | 776 row 4 : 4.0 | choiseul | 31.3 | 6,098 | 206 row 5 : 5.0 | dennery | 69.7 | 12,599 | 182 row 6 : ... | table_csv/203_212.csv | 1 | {
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"what are all the districts?",
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"and what is the land area for saint lucia?"
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"206"
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[
"5.0",
"Dennery",
... | [
"608.7"
] | and what is the land area for saint lucia? || what is their land area? | what are all the districts? |
nt-7717 | col : # | district | land area (km2) | population (2010 census) | density (persons/km2) row 1 : 1.0 | anse la raye | 30.9 | 6,247 | 210 row 2 : 2.0 | praslin | 16.0 | 2,044 | 119 row 3 : 3.0 | castries | 79.5 | 65,656 | 776 row 4 : 4.0 | choiseul | 31.3 | 6,098 | 206 row 5 : 5.0 | dennery | 69.7 | 12,599 | 182 row 6 : ... | table_csv/203_212.csv | 0 | {
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"what is the total land area of anse la raye?"
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"6,098",
"206"
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[
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"Dennery",
... | [
"30.9"
] | what is the total land area of anse la raye? || |
nt-7717 | col : # | district | land area (km2) | population (2010 census) | density (persons/km2) row 1 : 1.0 | anse la raye | 30.9 | 6,247 | 210 row 2 : 2.0 | praslin | 16.0 | 2,044 | 119 row 3 : 3.0 | castries | 79.5 | 65,656 | 776 row 4 : 4.0 | choiseul | 31.3 | 6,098 | 206 row 5 : 5.0 | dennery | 69.7 | 12,599 | 182 row 6 : ... | table_csv/203_212.csv | 1 | {
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"206"
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[
"5.0",
"Dennery",
... | [
"16.0"
] | what is the total land area of praslin? || what is the total land area of anse la raye? |
nt-7717 | col : # | district | land area (km2) | population (2010 census) | density (persons/km2) row 1 : 1.0 | anse la raye | 30.9 | 6,247 | 210 row 2 : 2.0 | praslin | 16.0 | 2,044 | 119 row 3 : 3.0 | castries | 79.5 | 65,656 | 776 row 4 : 4.0 | choiseul | 31.3 | 6,098 | 206 row 5 : 5.0 | dennery | 69.7 | 12,599 | 182 row 6 : ... | table_csv/203_212.csv | 2 | {
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} | [
"what is the total land area of anse la raye?",
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"District",
"Land area (km2)",
"Population (2010 census)",
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"6,098",
"206"
],
[
"5.0",
"Dennery",
... | [
"608.7"
] | what is the total land area of saint lucia? || what is the total land area of praslin? | what is the total land area of anse la raye? |
nt-8996 | col : model | frame | years mfg'd | caliber(s) | production | barrel | notes row 1 : remington-beals army model revolver | large | 1861-1862 | .44 | 1,900 (estimated) | 8 inch octagon | nan row 2 : remington-beals navy model revolver | medium | 1861-1862 | .36 | 14,500 (estimated) | 7 1/2 inch octagon | nan row 3 : 186... | table_csv/203_253.csv | 0 | {
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nt-8996 | col : model | frame | years mfg'd | caliber(s) | production | barrel | notes row 1 : remington-beals army model revolver | large | 1861-1862 | .44 | 1,900 (estimated) | 8 inch octagon | nan row 2 : remington-beals navy model revolver | medium | 1861-1862 | .36 | 14,500 (estimated) | 7 1/2 inch octagon | nan row 3 : 186... | table_csv/203_253.csv | 1 | {
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"186... | [
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nt-8996 | col : model | frame | years mfg'd | caliber(s) | production | barrel | notes row 1 : remington-beals army model revolver | large | 1861-1862 | .44 | 1,900 (estimated) | 8 inch octagon | nan row 2 : remington-beals navy model revolver | medium | 1861-1862 | .36 | 14,500 (estimated) | 7 1/2 inch octagon | nan row 3 : 186... | table_csv/203_253.csv | 0 | {
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nt-8996 | col : model | frame | years mfg'd | caliber(s) | production | barrel | notes row 1 : remington-beals army model revolver | large | 1861-1862 | .44 | 1,900 (estimated) | 8 inch octagon | nan row 2 : remington-beals navy model revolver | medium | 1861-1862 | .36 | 14,500 (estimated) | 7 1/2 inch octagon | nan row 3 : 186... | table_csv/203_253.csv | 1 | {
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[
"186... | [
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nt-8996 | col : model | frame | years mfg'd | caliber(s) | production | barrel | notes row 1 : remington-beals army model revolver | large | 1861-1862 | .44 | 1,900 (estimated) | 8 inch octagon | nan row 2 : remington-beals navy model revolver | medium | 1861-1862 | .36 | 14,500 (estimated) | 7 1/2 inch octagon | nan row 3 : 186... | table_csv/203_253.csv | 0 | {
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[
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"New Model Army Revolver",
"New Model Navy Revolver",
"New Model Single Action Belt Revolver",
"Remington-Rider Double Action New Model Belt Revolver",
"New Mode... | what are all the model names? || |
nt-8996 | col : model | frame | years mfg'd | caliber(s) | production | barrel | notes row 1 : remington-beals army model revolver | large | 1861-1862 | .44 | 1,900 (estimated) | 8 inch octagon | nan row 2 : remington-beals navy model revolver | medium | 1861-1862 | .36 | 14,500 (estimated) | 7 1/2 inch octagon | nan row 3 : 186... | table_csv/203_253.csv | 1 | {
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"2,500 - 3,000 (estimated)",
"3,000 - 5,000 (estimated)",
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nt-8996 | col : model | frame | years mfg'd | caliber(s) | production | barrel | notes row 1 : remington-beals army model revolver | large | 1861-1862 | .44 | 1,900 (estimated) | 8 inch octagon | nan row 2 : remington-beals navy model revolver | medium | 1861-1862 | .36 | 14,500 (estimated) | 7 1/2 inch octagon | nan row 3 : 186... | table_csv/203_253.csv | 2 | {
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"what are all the model names?",
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"Years Mfg'd",
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"Production",
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"Notes"
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"186... | [
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nt-8335 | col : # | name | strike tone (st-1/16) | weight (kg) | diameter (mm) | inscription row 1 : 1 | maria | g0 +8 | 6045 | 2075 | + o mater alma christi carissima-- row 2 : 2 | carolus | h0 +7 | 2900 | 1628 | honor et cultus, quem regalis row 3 : 3 | johannes evangelista | d1 +8 | 1400 | 1367 | nascentes inter socias mecum ... | table_csv/203_283.csv | 0 | {
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"what are the names of all the bells?"
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"#",
"Name",
"Strike tone (ST-1/16)",
"Weight (kg)",
"Diameter (mm)",
"Inscription"
] | what are the names of all the bells? | [
[
"1",
"Maria",
"g0 +8",
"6045",
"2075",
"+ O MATER ALMA CHRISTI CARISSIMA--"
],
[
"2",
"Carolus",
"h0 +7",
"2900",
"1628",
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],
[
"3",
"Johannes Evangelista",
"d1 +8",
"1400",
"1367",
"NASCENTES INTER SOCI... | [
"Maria",
"Carolus",
"Johannes Evangelista",
"Johannes Baptista",
"Leopardus",
"Stephanus",
"Petrus",
"Simeon"
] | what are the names of all the bells? || |
nt-8335 | col : # | name | strike tone (st-1/16) | weight (kg) | diameter (mm) | inscription row 1 : 1 | maria | g0 +8 | 6045 | 2075 | + o mater alma christi carissima-- row 2 : 2 | carolus | h0 +7 | 2900 | 1628 | honor et cultus, quem regalis row 3 : 3 | johannes evangelista | d1 +8 | 1400 | 1367 | nascentes inter socias mecum ... | table_csv/203_283.csv | 1 | {
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"what are the names of all the bells?",
"what are the potential diameters of the bells?"
] | 0 | 2075, 1628, 1367, 1217, 1078, 1027, 894, 793 | [
"#",
"Name",
"Strike tone (ST-1/16)",
"Weight (kg)",
"Diameter (mm)",
"Inscription"
] | what are the potential diameters of the bells? | [
[
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"Maria",
"g0 +8",
"6045",
"2075",
"+ O MATER ALMA CHRISTI CARISSIMA--"
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"h0 +7",
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[
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"d1 +8",
"1400",
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"NASCENTES INTER SOCI... | [
"2075",
"1628",
"1367",
"1217",
"1078",
"1027",
"894",
"793"
] | what are the potential diameters of the bells? || what are the names of all the bells? |
nt-8335 | col : # | name | strike tone (st-1/16) | weight (kg) | diameter (mm) | inscription row 1 : 1 | maria | g0 +8 | 6045 | 2075 | + o mater alma christi carissima-- row 2 : 2 | carolus | h0 +7 | 2900 | 1628 | honor et cultus, quem regalis row 3 : 3 | johannes evangelista | d1 +8 | 1400 | 1367 | nascentes inter socias mecum ... | table_csv/203_283.csv | 2 | {
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"which bell has the largest diameter?"
] | 0 | maria | [
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"Name",
"Strike tone (ST-1/16)",
"Weight (kg)",
"Diameter (mm)",
"Inscription"
] | which bell has the largest diameter? | [
[
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"Maria",
"g0 +8",
"6045",
"2075",
"+ O MATER ALMA CHRISTI CARISSIMA--"
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[
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"2900",
"1628",
"HONOR ET CULTUS, QUEM REGALIS"
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[
"3",
"Johannes Evangelista",
"d1 +8",
"1400",
"1367",
"NASCENTES INTER SOCI... | [
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] | which bell has the largest diameter? || what are the potential diameters of the bells? | what are the names of all the bells? |
nt-8335 | col : # | name | strike tone (st-1/16) | weight (kg) | diameter (mm) | inscription row 1 : 1 | maria | g0 +8 | 6045 | 2075 | + o mater alma christi carissima-- row 2 : 2 | carolus | h0 +7 | 2900 | 1628 | honor et cultus, quem regalis row 3 : 3 | johannes evangelista | d1 +8 | 1400 | 1367 | nascentes inter socias mecum ... | table_csv/203_283.csv | 0 | {
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"what are the names of the aachen cathedral bells?"
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"#",
"Name",
"Strike tone (ST-1/16)",
"Weight (kg)",
"Diameter (mm)",
"Inscription"
] | what are the names of the aachen cathedral bells? | [
[
"1",
"Maria",
"g0 +8",
"6045",
"2075",
"+ O MATER ALMA CHRISTI CARISSIMA--"
],
[
"2",
"Carolus",
"h0 +7",
"2900",
"1628",
"HONOR ET CULTUS, QUEM REGALIS"
],
[
"3",
"Johannes Evangelista",
"d1 +8",
"1400",
"1367",
"NASCENTES INTER SOCI... | [
"Maria",
"Carolus",
"Johannes Evangelista",
"Johannes Baptista",
"Leopardus",
"Stephanus",
"Petrus",
"Simeon"
] | what are the names of the aachen cathedral bells? || |
nt-8335 | col : # | name | strike tone (st-1/16) | weight (kg) | diameter (mm) | inscription row 1 : 1 | maria | g0 +8 | 6045 | 2075 | + o mater alma christi carissima-- row 2 : 2 | carolus | h0 +7 | 2900 | 1628 | honor et cultus, quem regalis row 3 : 3 | johannes evangelista | d1 +8 | 1400 | 1367 | nascentes inter socias mecum ... | table_csv/203_283.csv | 1 | {
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} | [
"what are the names of the aachen cathedral bells?",
"which one has the widest diameter?"
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"Name",
"Strike tone (ST-1/16)",
"Weight (kg)",
"Diameter (mm)",
"Inscription"
] | which one has the widest diameter? | [
[
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"Maria",
"g0 +8",
"6045",
"2075",
"+ O MATER ALMA CHRISTI CARISSIMA--"
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[
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[
"3",
"Johannes Evangelista",
"d1 +8",
"1400",
"1367",
"NASCENTES INTER SOCI... | [
"Maria"
] | which one has the widest diameter? || what are the names of the aachen cathedral bells? |
nt-8335 | col : # | name | strike tone (st-1/16) | weight (kg) | diameter (mm) | inscription row 1 : 1 | maria | g0 +8 | 6045 | 2075 | + o mater alma christi carissima-- row 2 : 2 | carolus | h0 +7 | 2900 | 1628 | honor et cultus, quem regalis row 3 : 3 | johannes evangelista | d1 +8 | 1400 | 1367 | nascentes inter socias mecum ... | table_csv/203_283.csv | 0 | {
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"what are all of the bell names?"
] | 2 | maria, carolus, johannes evangelista, johannes baptista, leopardus, stephanus, petrus, simeon | [
"#",
"Name",
"Strike tone (ST-1/16)",
"Weight (kg)",
"Diameter (mm)",
"Inscription"
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[
"1",
"Maria",
"g0 +8",
"6045",
"2075",
"+ O MATER ALMA CHRISTI CARISSIMA--"
],
[
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"2900",
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],
[
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"Johannes Evangelista",
"d1 +8",
"1400",
"1367",
"NASCENTES INTER SOCI... | [
"Maria",
"Carolus",
"Johannes Evangelista",
"Johannes Baptista",
"Leopardus",
"Stephanus",
"Petrus",
"Simeon"
] | what are all of the bell names? || |
nt-8335 | col : # | name | strike tone (st-1/16) | weight (kg) | diameter (mm) | inscription row 1 : 1 | maria | g0 +8 | 6045 | 2075 | + o mater alma christi carissima-- row 2 : 2 | carolus | h0 +7 | 2900 | 1628 | honor et cultus, quem regalis row 3 : 3 | johannes evangelista | d1 +8 | 1400 | 1367 | nascentes inter socias mecum ... | table_csv/203_283.csv | 1 | {
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"what are all of the bell names?",
"what is the diameter of each?"
] | 2 | 2075, 1628, 1367, 1217, 1078, 1027, 894, 793 | [
"#",
"Name",
"Strike tone (ST-1/16)",
"Weight (kg)",
"Diameter (mm)",
"Inscription"
] | what is the diameter of each? | [
[
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"Maria",
"g0 +8",
"6045",
"2075",
"+ O MATER ALMA CHRISTI CARISSIMA--"
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[
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[
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"d1 +8",
"1400",
"1367",
"NASCENTES INTER SOCI... | [
"2075",
"1628",
"1367",
"1217",
"1078",
"1027",
"894",
"793"
] | what is the diameter of each? || what are all of the bell names? |
nt-8335 | col : # | name | strike tone (st-1/16) | weight (kg) | diameter (mm) | inscription row 1 : 1 | maria | g0 +8 | 6045 | 2075 | + o mater alma christi carissima-- row 2 : 2 | carolus | h0 +7 | 2900 | 1628 | honor et cultus, quem regalis row 3 : 3 | johannes evangelista | d1 +8 | 1400 | 1367 | nascentes inter socias mecum ... | table_csv/203_283.csv | 2 | {
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} | [
"what are all of the bell names?",
"what is the diameter of each?",
"and which has the largest diameter?"
] | 2 | maria | [
"#",
"Name",
"Strike tone (ST-1/16)",
"Weight (kg)",
"Diameter (mm)",
"Inscription"
] | and which has the largest diameter? | [
[
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"Maria",
"g0 +8",
"6045",
"2075",
"+ O MATER ALMA CHRISTI CARISSIMA--"
],
[
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"Carolus",
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],
[
"3",
"Johannes Evangelista",
"d1 +8",
"1400",
"1367",
"NASCENTES INTER SOCI... | [
"Maria"
] | and which has the largest diameter? || what is the diameter of each? | what are all of the bell names? |
nt-10415 | 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 are all the city names?"
] | 0 | brasov, codlea, sacele, ghimbav, predeal, rasnov, cristian, sanpetru, halchiu, tarlungeni, prejmer, harman, bod | [
"Name",
"Population (2002 census)",
"Population (2007 estimation)",
"Population (2011 census)",
"Area (km2)",
"Density (pop/km2)"
] | what are all the city names? | [
[
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"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",
"... | [
"Brasov",
"Codlea",
"Sacele",
"Ghimbav",
"Predeal",
"Rasnov",
"Cristian",
"Sanpetru",
"Halchiu",
"Tarlungeni",
"Prejmer",
"Harman",
"Bod"
] | what are all the city names? || |
nt-10415 | 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 are all the city names?",
"what was the population of each city in 2002 according to the census?"
] | 0 | 283,901, 24,256, 30,044, 5,100, 5,625, 15,436, 3,952, 3,401, 4,072, 7,413, 8,323, 4,437, 3,942 | [
"Name",
"Population (2002 census)",
"Population (2007 estimation)",
"Population (2011 census)",
"Area (km2)",
"Density (pop/km2)"
] | what was the population of each city in 2002 according to the census? | [
[
"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",
"... | [
"283,901",
"24,256",
"30,044",
"5,100",
"5,625",
"15,436",
"3,952",
"3,401",
"4,072",
"7,413",
"8,323",
"4,437",
"3,942"
] | what was the population of each city in 2002 according to the census? || what are all the city names? |
nt-10415 | 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 are all the city names?",
"what was the population of each city in 2002 according to the census?",
"and of those, which city had the fewest number of people?"
] | 0 | sanpetru | [
"Name",
"Population (2002 census)",
"Population (2007 estimation)",
"Population (2011 census)",
"Area (km2)",
"Density (pop/km2)"
] | and of those, which city had the fewest number of people? | [
[
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"283,901",
"277,945",
"253,200",
"267.32",
"1,204"
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[
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"24,256",
"24,550",
"21,708",
"132.79",
"182"
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[
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"30,044",
"31,796",
"30,798",
"320",
"93"
],
[
"Ghimbav",
"5,100",
"5,357",
"... | [
"Sanpetru"
] | and of those, which city had the fewest number of people? || what was the population of each city in 2002 according to the census? | what are all the city names? |
nt-10415 | 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 are the populations of 2002?"
] | 1 | 283,901, 24,256, 30,044, 5,100, 5,625, 15,436, 3,952, 3,401, 4,072, 7,413, 8,323, 4,437, 3,942 | [
"Name",
"Population (2002 census)",
"Population (2007 estimation)",
"Population (2011 census)",
"Area (km2)",
"Density (pop/km2)"
] | what are the populations of 2002? | [
[
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"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",
"... | [
"283,901",
"24,256",
"30,044",
"5,100",
"5,625",
"15,436",
"3,952",
"3,401",
"4,072",
"7,413",
"8,323",
"4,437",
"3,942"
] | what are the populations of 2002? || |
nt-10415 | 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 are the populations of 2002?",
"which of these are the smallest?"
] | 1 | 3,401 | [
"Name",
"Population (2002 census)",
"Population (2007 estimation)",
"Population (2011 census)",
"Area (km2)",
"Density (pop/km2)"
] | which of these are the smallest? | [
[
"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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[
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"30,044",
"31,796",
"30,798",
"320",
"93"
],
[
"Ghimbav",
"5,100",
"5,357",
"... | [
"3,401"
] | which of these are the smallest? || what are the populations of 2002? |
nt-10415 | 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 are the populations of 2002?",
"which of these are the smallest?",
"which city is this of?"
] | 1 | sanpetru | [
"Name",
"Population (2002 census)",
"Population (2007 estimation)",
"Population (2011 census)",
"Area (km2)",
"Density (pop/km2)"
] | which city is this of? | [
[
"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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[
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"31,796",
"30,798",
"320",
"93"
],
[
"Ghimbav",
"5,100",
"5,357",
"... | [
"Sanpetru"
] | which city is this of? || which of these are the smallest? | what are the populations of 2002? |
nt-10415 | 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 are the 2002 population census amounts?"
] | 2 | 283,901, 24,256, 30,044, 5,100, 5,625, 15,436, 3,952, 3,401, 4,072, 7,413, 8,323, 4,437, 3,942, 399,902 | [
"Name",
"Population (2002 census)",
"Population (2007 estimation)",
"Population (2011 census)",
"Area (km2)",
"Density (pop/km2)"
] | what are the 2002 population census amounts? | [
[
"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",
"... | [
"283,901",
"24,256",
"30,044",
"5,100",
"5,625",
"15,436",
"3,952",
"3,401",
"4,072",
"7,413",
"8,323",
"4,437",
"3,942",
"399,902"
] | what are the 2002 population census amounts? || |
nt-10415 | 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 are the 2002 population census amounts?",
"what is the lowest value here?"
] | 2 | 3,401 | [
"Name",
"Population (2002 census)",
"Population (2007 estimation)",
"Population (2011 census)",
"Area (km2)",
"Density (pop/km2)"
] | what is the lowest value here? | [
[
"Brasov",
"283,901",
"277,945",
"253,200",
"267.32",
"1,204"
],
[
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"24,256",
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"320",
"93"
],
[
"Ghimbav",
"5,100",
"5,357",
"... | [
"3,401"
] | what is the lowest value here? || what are the 2002 population census amounts? |
nt-10415 | 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 are the 2002 population census amounts?",
"what is the lowest value here?",
"what metropolitan area has this value?"
] | 2 | sanpetru | [
"Name",
"Population (2002 census)",
"Population (2007 estimation)",
"Population (2011 census)",
"Area (km2)",
"Density (pop/km2)"
] | what metropolitan area has this value? | [
[
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"283,901",
"277,945",
"253,200",
"267.32",
"1,204"
],
[
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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",
"... | [
"Sanpetru"
] | what metropolitan area has this value? || what is the lowest value here? | what are the 2002 population census amounts? |
nt-2433 | col : pos. | rider | semi-final points | final points | final heats | total points row 1 : 1 | jack milne | 13 | 15 | (3,3,3,3,3) | 28 row 2 : 2 | wilbur lamoreaux | 12 | 13 | (3,3,3,1,3) | 25 row 3 : 3 | cordy milne | 11 | 12 | (2,3,2,3,2) | 23 row 4 : 4 | jack parker | 11 | 10 | (2,3,1,2,2) | 21 row 5 : 5 | ginger le... | table_csv/203_439.csv | 0 | {
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} | [
"which riders had at least 11 points in the semi-finals?"
] | 0 | 13, 12, 11, 11, 11, 11, 12, 11 | [
"Pos.",
"Rider",
"Semi-Final Points",
"Final Points",
"Final Heats",
"Total Points"
] | which riders had at least 11 points in the semi-finals? | [
[
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"Jack Milne",
"13",
"15",
"(3,3,3,3,3)",
"28"
],
[
"2",
"Wilbur Lamoreaux",
"12",
"13",
"(3,3,3,1,3)",
"25"
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[
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"11",
"12",
"(2,3,2,3,2)",
"23"
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[
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"10",
"(2... | [
"13",
"12",
"11",
"11",
"11",
"11",
"12",
"11"
] | which riders had at least 11 points in the semi-finals? || |
nt-2433 | col : pos. | rider | semi-final points | final points | final heats | total points row 1 : 1 | jack milne | 13 | 15 | (3,3,3,3,3) | 28 row 2 : 2 | wilbur lamoreaux | 12 | 13 | (3,3,3,1,3) | 25 row 3 : 3 | cordy milne | 11 | 12 | (2,3,2,3,2) | 23 row 4 : 4 | jack parker | 11 | 10 | (2,3,1,2,2) | 21 row 5 : 5 | ginger le... | table_csv/203_439.csv | 1 | {
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} | [
"which riders had at least 11 points in the semi-finals?",
"of the riders with at least 11 points in the semi-finals which rider had the fewest total points?"
] | 0 | eric chitty | [
"Pos.",
"Rider",
"Semi-Final Points",
"Final Points",
"Final Heats",
"Total Points"
] | of the riders with at least 11 points in the semi-finals which rider had the fewest total points? | [
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"Jack Milne",
"13",
"15",
"(3,3,3,3,3)",
"28"
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[
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"23"
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[
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"10",
"(2... | [
"Eric Chitty"
] | of the riders with at least 11 points in the semi-finals which rider had the fewest total points? || which riders had at least 11 points in the semi-finals? |
nt-2433 | col : pos. | rider | semi-final points | final points | final heats | total points row 1 : 1 | jack milne | 13 | 15 | (3,3,3,3,3) | 28 row 2 : 2 | wilbur lamoreaux | 12 | 13 | (3,3,3,1,3) | 25 row 3 : 3 | cordy milne | 11 | 12 | (2,3,2,3,2) | 23 row 4 : 4 | jack parker | 11 | 10 | (2,3,1,2,2) | 21 row 5 : 5 | ginger le... | table_csv/203_439.csv | 0 | {
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} | [
"in the 1937 individual speedway world championship who all scored more points in the semi finals than in the finals?"
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] | in the 1937 individual speedway world championship who all scored more points in the semi finals than in the finals? | [
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[
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"Tommy Croombs",
"Bob Harrison",
"Alec Statham"
] | in the 1937 individual speedway world championship who all scored more points in the semi finals than in the finals? || |
nt-2433 | col : pos. | rider | semi-final points | final points | final heats | total points row 1 : 1 | jack milne | 13 | 15 | (3,3,3,3,3) | 28 row 2 : 2 | wilbur lamoreaux | 12 | 13 | (3,3,3,1,3) | 25 row 3 : 3 | cordy milne | 11 | 12 | (2,3,2,3,2) | 23 row 4 : 4 | jack parker | 11 | 10 | (2,3,1,2,2) | 21 row 5 : 5 | ginger le... | table_csv/203_439.csv | 1 | {
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"in the 1937 individual speedway world championship who all scored more points in the semi finals than in the finals?",
"of the rider who scored higher in the semifinals who all scored more than 10 points in the semifinals?"
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nt-2433 | col : pos. | rider | semi-final points | final points | final heats | total points row 1 : 1 | jack milne | 13 | 15 | (3,3,3,3,3) | 28 row 2 : 2 | wilbur lamoreaux | 12 | 13 | (3,3,3,1,3) | 25 row 3 : 3 | cordy milne | 11 | 12 | (2,3,2,3,2) | 23 row 4 : 4 | jack parker | 11 | 10 | (2,3,1,2,2) | 21 row 5 : 5 | ginger le... | table_csv/203_439.csv | 2 | {
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"in the 1937 individual speedway world championship who all scored more points in the semi finals than in the finals?",
"of the rider who scored higher in the semifinals who all scored more than 10 points in the semifinals?",
"of the rider who hand 10 points or more in the semi and less in the final which ones ... | 1 | frank charles, lionel van praag, george newton, eric langton, eric chitty | [
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nt-2433 | col : pos. | rider | semi-final points | final points | final heats | total points row 1 : 1 | jack milne | 13 | 15 | (3,3,3,3,3) | 28 row 2 : 2 | wilbur lamoreaux | 12 | 13 | (3,3,3,1,3) | 25 row 3 : 3 | cordy milne | 11 | 12 | (2,3,2,3,2) | 23 row 4 : 4 | jack parker | 11 | 10 | (2,3,1,2,2) | 21 row 5 : 5 | ginger le... | table_csv/203_439.csv | 3 | {
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"in the 1937 individual speedway world championship who all scored more points in the semi finals than in the finals?",
"of the rider who scored higher in the semifinals who all scored more than 10 points in the semifinals?",
"of the rider who hand 10 points or more in the semi and less in the final which ones ... | 1 | eric langton, eric chitty | [
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"Semi-Final Points",
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"Final Heats",
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nt-2433 | col : pos. | rider | semi-final points | final points | final heats | total points row 1 : 1 | jack milne | 13 | 15 | (3,3,3,3,3) | 28 row 2 : 2 | wilbur lamoreaux | 12 | 13 | (3,3,3,1,3) | 25 row 3 : 3 | cordy milne | 11 | 12 | (2,3,2,3,2) | 23 row 4 : 4 | jack parker | 11 | 10 | (2,3,1,2,2) | 21 row 5 : 5 | ginger le... | table_csv/203_439.csv | 4 | {
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"in the 1937 individual speedway world championship who all scored more points in the semi finals than in the finals?",
"of the rider who scored higher in the semifinals who all scored more than 10 points in the semifinals?",
"of the rider who hand 10 points or more in the semi and less in the final which ones ... | 1 | eric chitty | [
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"Rider",
"Semi-Final Points",
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nt-2433 | col : pos. | rider | semi-final points | final points | final heats | total points row 1 : 1 | jack milne | 13 | 15 | (3,3,3,3,3) | 28 row 2 : 2 | wilbur lamoreaux | 12 | 13 | (3,3,3,1,3) | 25 row 3 : 3 | cordy milne | 11 | 12 | (2,3,2,3,2) | 23 row 4 : 4 | jack parker | 11 | 10 | (2,3,1,2,2) | 21 row 5 : 5 | ginger le... | table_csv/203_439.csv | 0 | {
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} | [
"what was the least final point?"
] | 2 | 0 | [
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nt-2433 | col : pos. | rider | semi-final points | final points | final heats | total points row 1 : 1 | jack milne | 13 | 15 | (3,3,3,3,3) | 28 row 2 : 2 | wilbur lamoreaux | 12 | 13 | (3,3,3,1,3) | 25 row 3 : 3 | cordy milne | 11 | 12 | (2,3,2,3,2) | 23 row 4 : 4 | jack parker | 11 | 10 | (2,3,1,2,2) | 21 row 5 : 5 | ginger le... | table_csv/203_439.csv | 1 | {
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} | [
"what was the least final point?",
"who had the least final point that not of united kingdom origin?"
] | 2 | eric chitty | [
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"Rider",
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[
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"10",
"(2... | [
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nt-4755 | col : year | majors | atp wins | total wins | earnings (us$) | money list rank row 1 : 2002 | 0 | 0 | 0 | 101,122 | 165.0 row 2 : 2003 | 0 | 0 | 0 | 277,743 | 79.0 row 3 : 2004 | 0 | 0 | 0 | 579,375 | 38.0 row 4 : 2005 | 0 | 1 | 1 | 702,670 | 27.0 row 5 : 2006 | 0 | 2 | 2 | 1,276,265 | 9.0 row 6 : 2007 | 0 | 0 | 0 | 20... | table_csv/203_203.csv | 0 | {
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"how much money did mario ancic earn each year?"
] | 0 | 101,122, 277,743, 579,375, 702,670, 1,276,265, 209,610, 600,326, 197,818, 52,464 | [
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nt-4755 | col : year | majors | atp wins | total wins | earnings (us$) | money list rank row 1 : 2002 | 0 | 0 | 0 | 101,122 | 165.0 row 2 : 2003 | 0 | 0 | 0 | 277,743 | 79.0 row 3 : 2004 | 0 | 0 | 0 | 579,375 | 38.0 row 4 : 2005 | 0 | 1 | 1 | 702,670 | 27.0 row 5 : 2006 | 0 | 2 | 2 | 1,276,265 | 9.0 row 6 : 2007 | 0 | 0 | 0 | 20... | table_csv/203_203.csv | 1 | {
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} | [
"how much money did mario ancic earn each year?",
"what is the most mario ancic has earned in a year?"
] | 0 | 1,276,265 | [
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"Majors",
"ATP wins",
"Total wins",
"Earnings (US$)",
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"... | [
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nt-4755 | col : year | majors | atp wins | total wins | earnings (us$) | money list rank row 1 : 2002 | 0 | 0 | 0 | 101,122 | 165.0 row 2 : 2003 | 0 | 0 | 0 | 277,743 | 79.0 row 3 : 2004 | 0 | 0 | 0 | 579,375 | 38.0 row 4 : 2005 | 0 | 1 | 1 | 702,670 | 27.0 row 5 : 2006 | 0 | 2 | 2 | 1,276,265 | 9.0 row 6 : 2007 | 0 | 0 | 0 | 20... | table_csv/203_203.csv | 0 | {
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"what monetary amounts has mario ancic earned yearly?"
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nt-4755 | col : year | majors | atp wins | total wins | earnings (us$) | money list rank row 1 : 2002 | 0 | 0 | 0 | 101,122 | 165.0 row 2 : 2003 | 0 | 0 | 0 | 277,743 | 79.0 row 3 : 2004 | 0 | 0 | 0 | 579,375 | 38.0 row 4 : 2005 | 0 | 1 | 1 | 702,670 | 27.0 row 5 : 2006 | 0 | 2 | 2 | 1,276,265 | 9.0 row 6 : 2007 | 0 | 0 | 0 | 20... | table_csv/203_203.csv | 1 | {
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} | [
"what monetary amounts has mario ancic earned yearly?",
"what is the most he has earned in a year?"
] | 1 | 1,276,265 | [
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"Majors",
"ATP wins",
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"Earnings (US$)",
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] | what is the most he has earned in a year? | [
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nt-4755 | col : year | majors | atp wins | total wins | earnings (us$) | money list rank row 1 : 2002 | 0 | 0 | 0 | 101,122 | 165.0 row 2 : 2003 | 0 | 0 | 0 | 277,743 | 79.0 row 3 : 2004 | 0 | 0 | 0 | 579,375 | 38.0 row 4 : 2005 | 0 | 1 | 1 | 702,670 | 27.0 row 5 : 2006 | 0 | 2 | 2 | 1,276,265 | 9.0 row 6 : 2007 | 0 | 0 | 0 | 20... | table_csv/203_203.csv | 0 | {
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"what are mario ancic's earnings for each year?"
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"Majors",
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"277,743",
"579,375",
"702,670",
"1,276,265",
"209,610",
"600,326",
"197,818",
"52,464"
] | what are mario ancic's earnings for each year? || |
nt-4755 | col : year | majors | atp wins | total wins | earnings (us$) | money list rank row 1 : 2002 | 0 | 0 | 0 | 101,122 | 165.0 row 2 : 2003 | 0 | 0 | 0 | 277,743 | 79.0 row 3 : 2004 | 0 | 0 | 0 | 579,375 | 38.0 row 4 : 2005 | 0 | 1 | 1 | 702,670 | 27.0 row 5 : 2006 | 0 | 2 | 2 | 1,276,265 | 9.0 row 6 : 2007 | 0 | 0 | 0 | 20... | table_csv/203_203.csv | 1 | {
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} | [
"what are mario ancic's earnings for each year?",
"of those earnings, which was the highest?"
] | 2 | 1,276,265 | [
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"ATP wins",
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"Earnings (US$)",
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] | of those earnings, which was the highest? | [
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"... | [
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] | of those earnings, which was the highest? || what are mario ancic's earnings for each year? |
nt-9328 | col : defendant | arrested | charge | result | sentence row 1 : john calvin bartlett | december 11, 1955 | infamous crimes against nature | pleaded guilty | six years of probation. row 2 : charles brokaw | october 31, 1955 | lewd conduct with a minor | pleaded guilty | six months in prison plus probation. row 3 : verno... | table_csv/204_479.csv | 0 | {
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} | [
"who are all the defendants?"
] | 0 | john calvin bartlett, charles brokaw, vernon cassel, ralph cooper, melvin dir, charles herbert gordon, gordon larsen, paris martin, joe moore, charles pruett, reginald shaffer, willard wilson | [
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] | who are all the defendants? | [
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[
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[
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"Joe Moore",
"Charles Pruett",
"Reginald Shaffer",
"Willard Wilson"
] | who are all the defendants? || |
nt-9328 | col : defendant | arrested | charge | result | sentence row 1 : john calvin bartlett | december 11, 1955 | infamous crimes against nature | pleaded guilty | six years of probation. row 2 : charles brokaw | october 31, 1955 | lewd conduct with a minor | pleaded guilty | six months in prison plus probation. row 3 : verno... | table_csv/204_479.csv | 1 | {
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"who are all the defendants?",
"of these, who was found not guilty?"
] | 0 | paris martin | [
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] | of these, who was found not guilty? | [
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[
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[
"Vern... | [
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[
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"who were the defendants in the boise homosexuality scandal?",
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[
"Vern... | [
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nt-7159 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | venezuela | 5 | 2 | 3 | 10 row 2 : 2 | colombia | 4 | 4 | 9 | 17 row 3 : 3 | dominican republic | 4 | 3 | 4 | 11 row 4 : 4 | peru | 3 | 3 | 8 | 14 row 5 : 5 | ecuador | 2 | 3 | 3 | 8 row 6 : 6 | guatemala | 1 | 1 | 1 | 3 row 7 : 7 | chile | 0 | 3 | 2 | 5 ... | table_csv/204_922.csv | 0 | {
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] | 0 | venezuela, colombia, dominican republic, peru, ecuador, guatemala, chile, panama, bolivia, paraguay | [
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... | [
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"Panama",
"Bolivia",
"Paraguay"
] | what nations competed in the taekwondo at the 2013 bolivarian games? || |
nt-7159 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | venezuela | 5 | 2 | 3 | 10 row 2 : 2 | colombia | 4 | 4 | 9 | 17 row 3 : 3 | dominican republic | 4 | 3 | 4 | 11 row 4 : 4 | peru | 3 | 3 | 8 | 14 row 5 : 5 | ecuador | 2 | 3 | 3 | 8 row 6 : 6 | guatemala | 1 | 1 | 1 | 3 row 7 : 7 | chile | 0 | 3 | 2 | 5 ... | table_csv/204_922.csv | 1 | {
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"what nations competed in the taekwondo at the 2013 bolivarian games?",
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"what nations competed in the taekwondo at the 2013 bolivarian games?",
"how many gold medals did they win?",
"and which nation scored the most?"
] | 0 | venezuela | [
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... | [
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nt-7159 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | venezuela | 5 | 2 | 3 | 10 row 2 : 2 | colombia | 4 | 4 | 9 | 17 row 3 : 3 | dominican republic | 4 | 3 | 4 | 11 row 4 : 4 | peru | 3 | 3 | 8 | 14 row 5 : 5 | ecuador | 2 | 3 | 3 | 8 row 6 : 6 | guatemala | 1 | 1 | 1 | 3 row 7 : 7 | chile | 0 | 3 | 2 | 5 ... | table_csv/204_922.csv | 0 | {
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"how many countries are listed?"
] | 1 | venezuela, colombia, dominican republic, peru, ecuador, guatemala, chile, panama, bolivia, paraguay | [
"Rank",
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"Gold",
"Silver",
"Bronze",
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"Colombia",
"Dominican Republic",
"Peru",
"Ecuador",
"Guatemala",
"Chile",
"Panama",
"Bolivia",
"Paraguay"
] | how many countries are listed? || |
nt-7159 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | venezuela | 5 | 2 | 3 | 10 row 2 : 2 | colombia | 4 | 4 | 9 | 17 row 3 : 3 | dominican republic | 4 | 3 | 4 | 11 row 4 : 4 | peru | 3 | 3 | 8 | 14 row 5 : 5 | ecuador | 2 | 3 | 3 | 8 row 6 : 6 | guatemala | 1 | 1 | 1 | 3 row 7 : 7 | chile | 0 | 3 | 2 | 5 ... | table_csv/204_922.csv | 1 | {
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[
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... | [
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nt-7159 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | venezuela | 5 | 2 | 3 | 10 row 2 : 2 | colombia | 4 | 4 | 9 | 17 row 3 : 3 | dominican republic | 4 | 3 | 4 | 11 row 4 : 4 | peru | 3 | 3 | 8 | 14 row 5 : 5 | ecuador | 2 | 3 | 3 | 8 row 6 : 6 | guatemala | 1 | 1 | 1 | 3 row 7 : 7 | chile | 0 | 3 | 2 | 5 ... | table_csv/204_922.csv | 2 | {
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"how many countries are listed?",
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[
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... | [
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"which countries were at the event?"
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"Bronze",
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] | which countries were at the event? || |
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"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
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nt-7159 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | venezuela | 5 | 2 | 3 | 10 row 2 : 2 | colombia | 4 | 4 | 9 | 17 row 3 : 3 | dominican republic | 4 | 3 | 4 | 11 row 4 : 4 | peru | 3 | 3 | 8 | 14 row 5 : 5 | ecuador | 2 | 3 | 3 | 8 row 6 : 6 | guatemala | 1 | 1 | 1 | 3 row 7 : 7 | chile | 0 | 3 | 2 | 5 ... | table_csv/204_922.csv | 2 | {
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"which countries were at the event?",
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"which country scored the highest number of gold medals?"
] | 2 | venezuela | [
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"Nation",
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"Silver",
"Bronze",
"Total"
] | which country scored the highest number of gold medals? | [
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[
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... | [
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] | which country scored the highest number of gold medals? || which countries scored gold metals? | which countries were at the event? |
nt-4173 | col : rank | lane | name | nationality | time | notes row 1 : nan | 4 | sophie pascoe | new zealand | 2:25.65 | wr row 2 : nan | 5 | summer ashley mortimer | canada | 2:32.08 | nan row 3 : nan | 3 | zhang meng | china | 2:33.95 | as row 4 : 4.0 | 6 | katherine downie | australia | 2:34.64 | nan row 5 : 5.0 | 2 | nina r... | table_csv/204_422.csv | 0 | {
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"what are the names of the women competing in the event?"
] | 0 | sophie pascoe, summer ashley mortimer, zhang meng, katherine downie, nina ryabova, aurelie rivard, harriet lee, gemma almond | [
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"Nationality",
"Time",
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"4",
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[
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[
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[
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"Katherine Down... | [
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"Zhang Meng",
"Katherine Downie",
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] | what are the names of the women competing in the event? || |
nt-4173 | col : rank | lane | name | nationality | time | notes row 1 : nan | 4 | sophie pascoe | new zealand | 2:25.65 | wr row 2 : nan | 5 | summer ashley mortimer | canada | 2:32.08 | nan row 3 : nan | 3 | zhang meng | china | 2:33.95 | as row 4 : 4.0 | 6 | katherine downie | australia | 2:34.64 | nan row 5 : 5.0 | 2 | nina r... | table_csv/204_422.csv | 1 | {
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"what are the names of the women competing in the event?",
"of those, which finished with a time better (faster) than 2.34.00?"
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"Lane",
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"Nationality",
"Time",
"Notes"
] | of those, which finished with a time better (faster) than 2.34.00? | [
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"2:25.65",
"WR"
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[
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"5",
"Summer Ashley Mortimer",
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"2:32.08",
"nan"
],
[
"nan",
"3",
"Zhang Meng",
"China",
"2:33.95",
"AS"
],
[
"4.0",
"6",
"Katherine Down... | [
"Sophie Pascoe",
"Summer Ashley Mortimer",
"Zhang Meng"
] | of those, which finished with a time better (faster) than 2.34.00? || what are the names of the women competing in the event? |
nt-4173 | col : rank | lane | name | nationality | time | notes row 1 : nan | 4 | sophie pascoe | new zealand | 2:25.65 | wr row 2 : nan | 5 | summer ashley mortimer | canada | 2:32.08 | nan row 3 : nan | 3 | zhang meng | china | 2:33.95 | as row 4 : 4.0 | 6 | katherine downie | australia | 2:34.64 | nan row 5 : 5.0 | 2 | nina r... | table_csv/204_422.csv | 2 | {
"column_index": [
2
],
"row_index": [
0
]
} | [
"what are the names of the women competing in the event?",
"of those, which finished with a time better (faster) than 2.34.00?",
"of those, who had the fastest time?"
] | 0 | sophie pascoe | [
"Rank",
"Lane",
"Name",
"Nationality",
"Time",
"Notes"
] | of those, who had the fastest time? | [
[
"nan",
"4",
"Sophie Pascoe",
"New Zealand",
"2:25.65",
"WR"
],
[
"nan",
"5",
"Summer Ashley Mortimer",
"Canada",
"2:32.08",
"nan"
],
[
"nan",
"3",
"Zhang Meng",
"China",
"2:33.95",
"AS"
],
[
"4.0",
"6",
"Katherine Down... | [
"Sophie Pascoe"
] | of those, who had the fastest time? || of those, which finished with a time better (faster) than 2.34.00? | what are the names of the women competing in the event? |
nt-4173 | col : rank | lane | name | nationality | time | notes row 1 : nan | 4 | sophie pascoe | new zealand | 2:25.65 | wr row 2 : nan | 5 | summer ashley mortimer | canada | 2:32.08 | nan row 3 : nan | 3 | zhang meng | china | 2:33.95 | as row 4 : 4.0 | 6 | katherine downie | australia | 2:34.64 | nan row 5 : 5.0 | 2 | nina r... | table_csv/204_422.csv | 0 | {
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7
]
} | [
"who competed in the women's 200 metre individual medley sm10?"
] | 1 | sophie pascoe, summer ashley mortimer, zhang meng, katherine downie, nina ryabova, aurelie rivard, harriet lee, gemma almond | [
"Rank",
"Lane",
"Name",
"Nationality",
"Time",
"Notes"
] | who competed in the women's 200 metre individual medley sm10? | [
[
"nan",
"4",
"Sophie Pascoe",
"New Zealand",
"2:25.65",
"WR"
],
[
"nan",
"5",
"Summer Ashley Mortimer",
"Canada",
"2:32.08",
"nan"
],
[
"nan",
"3",
"Zhang Meng",
"China",
"2:33.95",
"AS"
],
[
"4.0",
"6",
"Katherine Down... | [
"Sophie Pascoe",
"Summer Ashley Mortimer",
"Zhang Meng",
"Katherine Downie",
"Nina Ryabova",
"Aurelie Rivard",
"Harriet Lee",
"Gemma Almond"
] | who competed in the women's 200 metre individual medley sm10? || |
nt-4173 | col : rank | lane | name | nationality | time | notes row 1 : nan | 4 | sophie pascoe | new zealand | 2:25.65 | wr row 2 : nan | 5 | summer ashley mortimer | canada | 2:32.08 | nan row 3 : nan | 3 | zhang meng | china | 2:33.95 | as row 4 : 4.0 | 6 | katherine downie | australia | 2:34.64 | nan row 5 : 5.0 | 2 | nina r... | table_csv/204_422.csv | 1 | {
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4
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} | [
"who competed in the women's 200 metre individual medley sm10?",
"what was the finishing time for those players?"
] | 1 | 2:25.65, 2:32.08, 2:33.95, 2:34.64, 2:35.65, 2:37.70, 2:39.42, 2:42.16 | [
"Rank",
"Lane",
"Name",
"Nationality",
"Time",
"Notes"
] | what was the finishing time for those players? | [
[
"nan",
"4",
"Sophie Pascoe",
"New Zealand",
"2:25.65",
"WR"
],
[
"nan",
"5",
"Summer Ashley Mortimer",
"Canada",
"2:32.08",
"nan"
],
[
"nan",
"3",
"Zhang Meng",
"China",
"2:33.95",
"AS"
],
[
"4.0",
"6",
"Katherine Down... | [
"2:25.65",
"2:32.08",
"2:33.95",
"2:34.64",
"2:35.65",
"2:37.70",
"2:39.42",
"2:42.16"
] | what was the finishing time for those players? || who competed in the women's 200 metre individual medley sm10? |
nt-4173 | col : rank | lane | name | nationality | time | notes row 1 : nan | 4 | sophie pascoe | new zealand | 2:25.65 | wr row 2 : nan | 5 | summer ashley mortimer | canada | 2:32.08 | nan row 3 : nan | 3 | zhang meng | china | 2:33.95 | as row 4 : 4.0 | 6 | katherine downie | australia | 2:34.64 | nan row 5 : 5.0 | 2 | nina r... | table_csv/204_422.csv | 2 | {
"column_index": [
2
],
"row_index": [
0
]
} | [
"who competed in the women's 200 metre individual medley sm10?",
"what was the finishing time for those players?",
"and which played had the earliest finishing time?"
] | 1 | sophie pascoe | [
"Rank",
"Lane",
"Name",
"Nationality",
"Time",
"Notes"
] | and which played had the earliest finishing time? | [
[
"nan",
"4",
"Sophie Pascoe",
"New Zealand",
"2:25.65",
"WR"
],
[
"nan",
"5",
"Summer Ashley Mortimer",
"Canada",
"2:32.08",
"nan"
],
[
"nan",
"3",
"Zhang Meng",
"China",
"2:33.95",
"AS"
],
[
"4.0",
"6",
"Katherine Down... | [
"Sophie Pascoe"
] | and which played had the earliest finishing time? || what was the finishing time for those players? | who competed in the women's 200 metre individual medley sm10? |
nt-4173 | col : rank | lane | name | nationality | time | notes row 1 : nan | 4 | sophie pascoe | new zealand | 2:25.65 | wr row 2 : nan | 5 | summer ashley mortimer | canada | 2:32.08 | nan row 3 : nan | 3 | zhang meng | china | 2:33.95 | as row 4 : 4.0 | 6 | katherine downie | australia | 2:34.64 | nan row 5 : 5.0 | 2 | nina r... | table_csv/204_422.csv | 0 | {
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2,
3,
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5,
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]
} | [
"who participated at the 2012 summer paralympics for 200 meter running?"
] | 2 | , 4, sophie pascoe, summer ashley mortimer, zhang meng, katherine downie, nina ryabova, aurelie rivard, harriet lee, gemma almond | [
"Rank",
"Lane",
"Name",
"Nationality",
"Time",
"Notes"
] | who participated at the 2012 summer paralympics for 200 meter running? | [
[
"nan",
"4",
"Sophie Pascoe",
"New Zealand",
"2:25.65",
"WR"
],
[
"nan",
"5",
"Summer Ashley Mortimer",
"Canada",
"2:32.08",
"nan"
],
[
"nan",
"3",
"Zhang Meng",
"China",
"2:33.95",
"AS"
],
[
"4.0",
"6",
"Katherine Down... | [
"",
"4",
"Sophie Pascoe",
"Summer Ashley Mortimer",
"Zhang Meng",
"Katherine Downie",
"Nina Ryabova",
"Aurelie Rivard",
"Harriet Lee",
"Gemma Almond"
] | who participated at the 2012 summer paralympics for 200 meter running? || |
nt-4173 | col : rank | lane | name | nationality | time | notes row 1 : nan | 4 | sophie pascoe | new zealand | 2:25.65 | wr row 2 : nan | 5 | summer ashley mortimer | canada | 2:32.08 | nan row 3 : nan | 3 | zhang meng | china | 2:33.95 | as row 4 : 4.0 | 6 | katherine downie | australia | 2:34.64 | nan row 5 : 5.0 | 2 | nina r... | table_csv/204_422.csv | 1 | {
"column_index": [
2
],
"row_index": [
0
]
} | [
"who participated at the 2012 summer paralympics for 200 meter running?",
"who finished in first place?"
] | 2 | sophie pascoe | [
"Rank",
"Lane",
"Name",
"Nationality",
"Time",
"Notes"
] | who finished in first place? | [
[
"nan",
"4",
"Sophie Pascoe",
"New Zealand",
"2:25.65",
"WR"
],
[
"nan",
"5",
"Summer Ashley Mortimer",
"Canada",
"2:32.08",
"nan"
],
[
"nan",
"3",
"Zhang Meng",
"China",
"2:33.95",
"AS"
],
[
"4.0",
"6",
"Katherine Down... | [
"Sophie Pascoe"
] | who finished in first place? || who participated at the 2012 summer paralympics for 200 meter running? |
nt-9111 | col : no. | date | location | surface | opponent in final | score row 1 : 1.0 | 28 august 2000 | spoleto, italy $10,000 | clay | maret ani | 6-2 7-6(7) row 2 : 2.0 | 9 april 2001 | san luis potosi, mexico $25,000 | clay | martina muller | 6-4 7-5 row 3 : 3.0 | 16 april 2001 | coatzacoalcos, mexico $25,000 | hard | gabr... | table_csv/204_562.csv | 0 | {
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3,
3
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7
]
} | [
"what are the surfaces?"
] | 0 | clay, clay, hard, hard, hard, clay, clay, grass | [
"No.",
"Date",
"Location",
"Surface",
"Opponent in final",
"Score"
] | what are the surfaces? | [
[
"1.0",
"28 August 2000",
"Spoleto, Italy $10,000",
"Clay",
"Maret Ani",
"6-2 7-6(7)"
],
[
"2.0",
"9 April 2001",
"San Luis Potosi, Mexico $25,000",
"Clay",
"Martina Muller",
"6-4 7-5"
],
[
"3.0",
"16 April 2001",
"Coatzacoalcos, Mexico $25,000",
... | [
"Clay",
"Clay",
"Hard",
"Hard",
"Hard",
"Clay",
"Clay",
"Grass"
] | what are the surfaces? || |
nt-9111 | col : no. | date | location | surface | opponent in final | score row 1 : 1.0 | 28 august 2000 | spoleto, italy $10,000 | clay | maret ani | 6-2 7-6(7) row 2 : 2.0 | 9 april 2001 | san luis potosi, mexico $25,000 | clay | martina muller | 6-4 7-5 row 3 : 3.0 | 16 april 2001 | coatzacoalcos, mexico $25,000 | hard | gabr... | table_csv/204_562.csv | 1 | {
"column_index": [
1
],
"row_index": [
7
]
} | [
"what are the surfaces?",
"what date is on the grass row?"
] | 0 | 1 june 2009 | [
"No.",
"Date",
"Location",
"Surface",
"Opponent in final",
"Score"
] | what date is on the grass row? | [
[
"1.0",
"28 August 2000",
"Spoleto, Italy $10,000",
"Clay",
"Maret Ani",
"6-2 7-6(7)"
],
[
"2.0",
"9 April 2001",
"San Luis Potosi, Mexico $25,000",
"Clay",
"Martina Muller",
"6-4 7-5"
],
[
"3.0",
"16 April 2001",
"Coatzacoalcos, Mexico $25,000",
... | [
"1 June 2009"
] | what date is on the grass row? || what are the surfaces? |
nt-9111 | col : no. | date | location | surface | opponent in final | score row 1 : 1.0 | 28 august 2000 | spoleto, italy $10,000 | clay | maret ani | 6-2 7-6(7) row 2 : 2.0 | 9 april 2001 | san luis potosi, mexico $25,000 | clay | martina muller | 6-4 7-5 row 3 : 3.0 | 16 april 2001 | coatzacoalcos, mexico $25,000 | hard | gabr... | table_csv/204_562.csv | 0 | {
"column_index": [
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1,
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1,
1,
1,
1
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7
]
} | [
"what were all the days?"
] | 1 | 28 august 2000, 9 april 2001, 16 april 2001, 15 october 2002, 5 november 2002, 14 april 2003, 27 april 2009, 1 june 2009 | [
"No.",
"Date",
"Location",
"Surface",
"Opponent in final",
"Score"
] | what were all the days? | [
[
"1.0",
"28 August 2000",
"Spoleto, Italy $10,000",
"Clay",
"Maret Ani",
"6-2 7-6(7)"
],
[
"2.0",
"9 April 2001",
"San Luis Potosi, Mexico $25,000",
"Clay",
"Martina Muller",
"6-4 7-5"
],
[
"3.0",
"16 April 2001",
"Coatzacoalcos, Mexico $25,000",
... | [
"28 August 2000",
"9 April 2001",
"16 April 2001",
"15 October 2002",
"5 November 2002",
"14 April 2003",
"27 April 2009",
"1 June 2009"
] | what were all the days? || |
nt-9111 | col : no. | date | location | surface | opponent in final | score row 1 : 1.0 | 28 august 2000 | spoleto, italy $10,000 | clay | maret ani | 6-2 7-6(7) row 2 : 2.0 | 9 april 2001 | san luis potosi, mexico $25,000 | clay | martina muller | 6-4 7-5 row 3 : 3.0 | 16 april 2001 | coatzacoalcos, mexico $25,000 | hard | gabr... | table_csv/204_562.csv | 1 | {
"column_index": [
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3,
3,
3,
3
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7
]
} | [
"what were all the days?",
"for these, what were the surfaces used?"
] | 1 | clay, clay, hard, hard, hard, clay, clay, grass | [
"No.",
"Date",
"Location",
"Surface",
"Opponent in final",
"Score"
] | for these, what were the surfaces used? | [
[
"1.0",
"28 August 2000",
"Spoleto, Italy $10,000",
"Clay",
"Maret Ani",
"6-2 7-6(7)"
],
[
"2.0",
"9 April 2001",
"San Luis Potosi, Mexico $25,000",
"Clay",
"Martina Muller",
"6-4 7-5"
],
[
"3.0",
"16 April 2001",
"Coatzacoalcos, Mexico $25,000",
... | [
"Clay",
"Clay",
"Hard",
"Hard",
"Hard",
"Clay",
"Clay",
"Grass"
] | for these, what were the surfaces used? || what were all the days? |
nt-9111 | col : no. | date | location | surface | opponent in final | score row 1 : 1.0 | 28 august 2000 | spoleto, italy $10,000 | clay | maret ani | 6-2 7-6(7) row 2 : 2.0 | 9 april 2001 | san luis potosi, mexico $25,000 | clay | martina muller | 6-4 7-5 row 3 : 3.0 | 16 april 2001 | coatzacoalcos, mexico $25,000 | hard | gabr... | table_csv/204_562.csv | 2 | {
"column_index": [
3
],
"row_index": [
7
]
} | [
"what were all the days?",
"for these, what were the surfaces used?",
"of these, which were grass?"
] | 1 | grass | [
"No.",
"Date",
"Location",
"Surface",
"Opponent in final",
"Score"
] | of these, which were grass? | [
[
"1.0",
"28 August 2000",
"Spoleto, Italy $10,000",
"Clay",
"Maret Ani",
"6-2 7-6(7)"
],
[
"2.0",
"9 April 2001",
"San Luis Potosi, Mexico $25,000",
"Clay",
"Martina Muller",
"6-4 7-5"
],
[
"3.0",
"16 April 2001",
"Coatzacoalcos, Mexico $25,000",
... | [
"Grass"
] | of these, which were grass? || for these, what were the surfaces used? | what were all the days? |
nt-9111 | col : no. | date | location | surface | opponent in final | score row 1 : 1.0 | 28 august 2000 | spoleto, italy $10,000 | clay | maret ani | 6-2 7-6(7) row 2 : 2.0 | 9 april 2001 | san luis potosi, mexico $25,000 | clay | martina muller | 6-4 7-5 row 3 : 3.0 | 16 april 2001 | coatzacoalcos, mexico $25,000 | hard | gabr... | table_csv/204_562.csv | 3 | {
"column_index": [
1
],
"row_index": [
7
]
} | [
"what were all the days?",
"for these, what were the surfaces used?",
"of these, which were grass?",
"what was the day corresponding to this surface?"
] | 1 | 1 june 2009 | [
"No.",
"Date",
"Location",
"Surface",
"Opponent in final",
"Score"
] | what was the day corresponding to this surface? | [
[
"1.0",
"28 August 2000",
"Spoleto, Italy $10,000",
"Clay",
"Maret Ani",
"6-2 7-6(7)"
],
[
"2.0",
"9 April 2001",
"San Luis Potosi, Mexico $25,000",
"Clay",
"Martina Muller",
"6-4 7-5"
],
[
"3.0",
"16 April 2001",
"Coatzacoalcos, Mexico $25,000",
... | [
"1 June 2009"
] | what was the day corresponding to this surface? || of these, which were grass? | for these, what were the surfaces used? | what were all the days? |
nt-9111 | col : no. | date | location | surface | opponent in final | score row 1 : 1.0 | 28 august 2000 | spoleto, italy $10,000 | clay | maret ani | 6-2 7-6(7) row 2 : 2.0 | 9 april 2001 | san luis potosi, mexico $25,000 | clay | martina muller | 6-4 7-5 row 3 : 3.0 | 16 april 2001 | coatzacoalcos, mexico $25,000 | hard | gabr... | table_csv/204_562.csv | 0 | {
"column_index": [
1,
1
],
"row_index": [
6,
7
]
} | [
"which competitions took place in 2009?"
] | 2 | 27 april 2009, 1 june 2009 | [
"No.",
"Date",
"Location",
"Surface",
"Opponent in final",
"Score"
] | which competitions took place in 2009? | [
[
"1.0",
"28 August 2000",
"Spoleto, Italy $10,000",
"Clay",
"Maret Ani",
"6-2 7-6(7)"
],
[
"2.0",
"9 April 2001",
"San Luis Potosi, Mexico $25,000",
"Clay",
"Martina Muller",
"6-4 7-5"
],
[
"3.0",
"16 April 2001",
"Coatzacoalcos, Mexico $25,000",
... | [
"27 April 2009",
"1 June 2009"
] | which competitions took place in 2009? || |
nt-9111 | col : no. | date | location | surface | opponent in final | score row 1 : 1.0 | 28 august 2000 | spoleto, italy $10,000 | clay | maret ani | 6-2 7-6(7) row 2 : 2.0 | 9 april 2001 | san luis potosi, mexico $25,000 | clay | martina muller | 6-4 7-5 row 3 : 3.0 | 16 april 2001 | coatzacoalcos, mexico $25,000 | hard | gabr... | table_csv/204_562.csv | 1 | {
"column_index": [
1
],
"row_index": [
7
]
} | [
"which competitions took place in 2009?",
"of these, which one had a grass surface used?"
] | 2 | 1 june 2009 | [
"No.",
"Date",
"Location",
"Surface",
"Opponent in final",
"Score"
] | of these, which one had a grass surface used? | [
[
"1.0",
"28 August 2000",
"Spoleto, Italy $10,000",
"Clay",
"Maret Ani",
"6-2 7-6(7)"
],
[
"2.0",
"9 April 2001",
"San Luis Potosi, Mexico $25,000",
"Clay",
"Martina Muller",
"6-4 7-5"
],
[
"3.0",
"16 April 2001",
"Coatzacoalcos, Mexico $25,000",
... | [
"1 June 2009"
] | of these, which one had a grass surface used? || which competitions took place in 2009? |
nt-9110 | col : place | position | number | name | league two | fa cup | league cup | fl trophy | total row 1 : 1 | mf | 4.0 | ryan hall | 10 | 1 | 0 | 3 | 14 row 2 : 2 | df | 6.0 | bilel mohsni | 13 | 0 | 0 | 0 | 13 row 3 : 3 | fw | 22.0 | liam dickinson | 10 | 1 | 0 | 1 | 12 row 4 : 4 | fw | 9.0 | neil harris | 9 | 0 | 0 | 1 |... | table_csv/204_877.csv | 0 | {
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12,
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15,
16
]
} | [
"who competed in the 2011-12 southend united f.c. season?"
] | 0 | ryan hall, bilel mohsni, liam dickinson, neil harris, mark phillips, kane ferdinand, michael timlin, dave martin, peter gilbert, elliot benyon, freddy eastwood, ryan leonard, blair sturrock, jean-paul kalala, luke prosser, anthony grant, chris barker | [
"Place",
"Position",
"Number",
"Name",
"League Two",
"FA Cup",
"League Cup",
"FL Trophy",
"Total"
] | who competed in the 2011-12 southend united f.c. season? | [
[
"1",
"MF",
"4.0",
"Ryan Hall",
"10",
"1",
"0",
"3",
"14"
],
[
"2",
"DF",
"6.0",
"Bilel Mohsni",
"13",
"0",
"0",
"0",
"13"
],
[
"3",
"FW",
"22.0",
"Liam Dickinson",
"10",
"1",
"0",
"1",
"12"
],
[... | [
"Ryan Hall",
"Bilel Mohsni",
"Liam Dickinson",
"Neil Harris",
"Mark Phillips",
"Kane Ferdinand",
"Michael Timlin",
"Dave Martin",
"Peter Gilbert",
"Elliot Benyon",
"Freddy Eastwood",
"Ryan Leonard",
"Blair Sturrock",
"Jean-Paul Kalala",
"Luke Prosser",
"Anthony Grant",
"Chris Barker"... | who competed in the 2011-12 southend united f.c. season? || |
nt-9110 | col : place | position | number | name | league two | fa cup | league cup | fl trophy | total row 1 : 1 | mf | 4.0 | ryan hall | 10 | 1 | 0 | 3 | 14 row 2 : 2 | df | 6.0 | bilel mohsni | 13 | 0 | 0 | 0 | 13 row 3 : 3 | fw | 22.0 | liam dickinson | 10 | 1 | 0 | 1 | 12 row 4 : 4 | fw | 9.0 | neil harris | 9 | 0 | 0 | 1 |... | table_csv/204_877.csv | 1 | {
"column_index": [
3,
3,
3,
3
],
"row_index": [
0,
2,
3,
12
]
} | [
"who competed in the 2011-12 southend united f.c. season?",
"out of these, who won a fl trophy?"
] | 0 | ryan hall, liam dickinson, neil harris, blair sturrock | [
"Place",
"Position",
"Number",
"Name",
"League Two",
"FA Cup",
"League Cup",
"FL Trophy",
"Total"
] | out of these, who won a fl trophy? | [
[
"1",
"MF",
"4.0",
"Ryan Hall",
"10",
"1",
"0",
"3",
"14"
],
[
"2",
"DF",
"6.0",
"Bilel Mohsni",
"13",
"0",
"0",
"0",
"13"
],
[
"3",
"FW",
"22.0",
"Liam Dickinson",
"10",
"1",
"0",
"1",
"12"
],
[... | [
"Ryan Hall",
"Liam Dickinson",
"Neil Harris",
"Blair Sturrock"
] | out of these, who won a fl trophy? || who competed in the 2011-12 southend united f.c. season? |
nt-9110 | col : place | position | number | name | league two | fa cup | league cup | fl trophy | total row 1 : 1 | mf | 4.0 | ryan hall | 10 | 1 | 0 | 3 | 14 row 2 : 2 | df | 6.0 | bilel mohsni | 13 | 0 | 0 | 0 | 13 row 3 : 3 | fw | 22.0 | liam dickinson | 10 | 1 | 0 | 1 | 12 row 4 : 4 | fw | 9.0 | neil harris | 9 | 0 | 0 | 1 |... | table_csv/204_877.csv | 2 | {
"column_index": [
3
],
"row_index": [
0
]
} | [
"who competed in the 2011-12 southend united f.c. season?",
"out of these, who won a fl trophy?",
"of these, who won 3 trophies?"
] | 0 | ryan hall | [
"Place",
"Position",
"Number",
"Name",
"League Two",
"FA Cup",
"League Cup",
"FL Trophy",
"Total"
] | of these, who won 3 trophies? | [
[
"1",
"MF",
"4.0",
"Ryan Hall",
"10",
"1",
"0",
"3",
"14"
],
[
"2",
"DF",
"6.0",
"Bilel Mohsni",
"13",
"0",
"0",
"0",
"13"
],
[
"3",
"FW",
"22.0",
"Liam Dickinson",
"10",
"1",
"0",
"1",
"12"
],
[... | [
"Ryan Hall"
] | of these, who won 3 trophies? || out of these, who won a fl trophy? | who competed in the 2011-12 southend united f.c. season? |
nt-9110 | col : place | position | number | name | league two | fa cup | league cup | fl trophy | total row 1 : 1 | mf | 4.0 | ryan hall | 10 | 1 | 0 | 3 | 14 row 2 : 2 | df | 6.0 | bilel mohsni | 13 | 0 | 0 | 0 | 13 row 3 : 3 | fw | 22.0 | liam dickinson | 10 | 1 | 0 | 1 | 12 row 4 : 4 | fw | 9.0 | neil harris | 9 | 0 | 0 | 1 |... | table_csv/204_877.csv | 0 | {
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3,
3,
3,
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3,
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3,
3,
3,
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3,
3,
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3
],
"row_index": [
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3,
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5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16
]
} | [
"who are the players?"
] | 1 | ryan hall, bilel mohsni, liam dickinson, neil harris, mark phillips, kane ferdinand, michael timlin, dave martin, peter gilbert, elliot benyon, freddy eastwood, ryan leonard, blair sturrock, jean-paul kalala, luke prosser, anthony grant, chris barker | [
"Place",
"Position",
"Number",
"Name",
"League Two",
"FA Cup",
"League Cup",
"FL Trophy",
"Total"
] | who are the players? | [
[
"1",
"MF",
"4.0",
"Ryan Hall",
"10",
"1",
"0",
"3",
"14"
],
[
"2",
"DF",
"6.0",
"Bilel Mohsni",
"13",
"0",
"0",
"0",
"13"
],
[
"3",
"FW",
"22.0",
"Liam Dickinson",
"10",
"1",
"0",
"1",
"12"
],
[... | [
"Ryan Hall",
"Bilel Mohsni",
"Liam Dickinson",
"Neil Harris",
"Mark Phillips",
"Kane Ferdinand",
"Michael Timlin",
"Dave Martin",
"Peter Gilbert",
"Elliot Benyon",
"Freddy Eastwood",
"Ryan Leonard",
"Blair Sturrock",
"Jean-Paul Kalala",
"Luke Prosser",
"Anthony Grant",
"Chris Barker"... | who are the players? || |
nt-9110 | col : place | position | number | name | league two | fa cup | league cup | fl trophy | total row 1 : 1 | mf | 4.0 | ryan hall | 10 | 1 | 0 | 3 | 14 row 2 : 2 | df | 6.0 | bilel mohsni | 13 | 0 | 0 | 0 | 13 row 3 : 3 | fw | 22.0 | liam dickinson | 10 | 1 | 0 | 1 | 12 row 4 : 4 | fw | 9.0 | neil harris | 9 | 0 | 0 | 1 |... | table_csv/204_877.csv | 1 | {
"column_index": [
3,
3,
3,
3
],
"row_index": [
0,
2,
3,
12
]
} | [
"who are the players?",
"which ones have fl trophies?"
] | 1 | ryan hall, liam dickinson, neil harris, blair sturrock | [
"Place",
"Position",
"Number",
"Name",
"League Two",
"FA Cup",
"League Cup",
"FL Trophy",
"Total"
] | which ones have fl trophies? | [
[
"1",
"MF",
"4.0",
"Ryan Hall",
"10",
"1",
"0",
"3",
"14"
],
[
"2",
"DF",
"6.0",
"Bilel Mohsni",
"13",
"0",
"0",
"0",
"13"
],
[
"3",
"FW",
"22.0",
"Liam Dickinson",
"10",
"1",
"0",
"1",
"12"
],
[... | [
"Ryan Hall",
"Liam Dickinson",
"Neil Harris",
"Blair Sturrock"
] | which ones have fl trophies? || who are the players? |
nt-9110 | col : place | position | number | name | league two | fa cup | league cup | fl trophy | total row 1 : 1 | mf | 4.0 | ryan hall | 10 | 1 | 0 | 3 | 14 row 2 : 2 | df | 6.0 | bilel mohsni | 13 | 0 | 0 | 0 | 13 row 3 : 3 | fw | 22.0 | liam dickinson | 10 | 1 | 0 | 1 | 12 row 4 : 4 | fw | 9.0 | neil harris | 9 | 0 | 0 | 1 |... | table_csv/204_877.csv | 2 | {
"column_index": [
3
],
"row_index": [
0
]
} | [
"who are the players?",
"which ones have fl trophies?",
"who has 3 fl trophies?"
] | 1 | ryan hall | [
"Place",
"Position",
"Number",
"Name",
"League Two",
"FA Cup",
"League Cup",
"FL Trophy",
"Total"
] | who has 3 fl trophies? | [
[
"1",
"MF",
"4.0",
"Ryan Hall",
"10",
"1",
"0",
"3",
"14"
],
[
"2",
"DF",
"6.0",
"Bilel Mohsni",
"13",
"0",
"0",
"0",
"13"
],
[
"3",
"FW",
"22.0",
"Liam Dickinson",
"10",
"1",
"0",
"1",
"12"
],
[... | [
"Ryan Hall"
] | who has 3 fl trophies? || which ones have fl trophies? | who are the players? |
nt-9110 | col : place | position | number | name | league two | fa cup | league cup | fl trophy | total row 1 : 1 | mf | 4.0 | ryan hall | 10 | 1 | 0 | 3 | 14 row 2 : 2 | df | 6.0 | bilel mohsni | 13 | 0 | 0 | 0 | 13 row 3 : 3 | fw | 22.0 | liam dickinson | 10 | 1 | 0 | 1 | 12 row 4 : 4 | fw | 9.0 | neil harris | 9 | 0 | 0 | 1 |... | table_csv/204_877.csv | 0 | {
"column_index": [
3,
3,
3,
3
],
"row_index": [
0,
2,
3,
12
]
} | [
"what players have fl trophies?"
] | 2 | ryan hall, liam dickinson, neil harris, blair sturrock | [
"Place",
"Position",
"Number",
"Name",
"League Two",
"FA Cup",
"League Cup",
"FL Trophy",
"Total"
] | what players have fl trophies? | [
[
"1",
"MF",
"4.0",
"Ryan Hall",
"10",
"1",
"0",
"3",
"14"
],
[
"2",
"DF",
"6.0",
"Bilel Mohsni",
"13",
"0",
"0",
"0",
"13"
],
[
"3",
"FW",
"22.0",
"Liam Dickinson",
"10",
"1",
"0",
"1",
"12"
],
[... | [
"Ryan Hall",
"Liam Dickinson",
"Neil Harris",
"Blair Sturrock"
] | what players have fl trophies? || |
nt-9110 | col : place | position | number | name | league two | fa cup | league cup | fl trophy | total row 1 : 1 | mf | 4.0 | ryan hall | 10 | 1 | 0 | 3 | 14 row 2 : 2 | df | 6.0 | bilel mohsni | 13 | 0 | 0 | 0 | 13 row 3 : 3 | fw | 22.0 | liam dickinson | 10 | 1 | 0 | 1 | 12 row 4 : 4 | fw | 9.0 | neil harris | 9 | 0 | 0 | 1 |... | table_csv/204_877.csv | 1 | {
"column_index": [
3
],
"row_index": [
0
]
} | [
"what players have fl trophies?",
"of these players, who has 3 fl trophies?"
] | 2 | ryan hall | [
"Place",
"Position",
"Number",
"Name",
"League Two",
"FA Cup",
"League Cup",
"FL Trophy",
"Total"
] | of these players, who has 3 fl trophies? | [
[
"1",
"MF",
"4.0",
"Ryan Hall",
"10",
"1",
"0",
"3",
"14"
],
[
"2",
"DF",
"6.0",
"Bilel Mohsni",
"13",
"0",
"0",
"0",
"13"
],
[
"3",
"FW",
"22.0",
"Liam Dickinson",
"10",
"1",
"0",
"1",
"12"
],
[... | [
"Ryan Hall"
] | of these players, who has 3 fl trophies? || what players have fl trophies? |
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 | {
"column_index": [
5,
5,
5,
5,
5,
5,
5,
5,
5,
5,
5,
5
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11
]
} | [
"what were the various values for game attendance in 1981?"
] | 0 | 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 various values for game attendance in 1981? | [
[
"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 various values for game attendance in 1981? || |
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 various values for game attendance in 1981?",
"of these, which is the largest value?"
] | 0 | 78,973 | [
"Date",
"Opponent#",
"Rank#",
"Site",
"Result",
"Attendance"
] | of these, which is the largest value? | [
[
"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"
] | of these, which is the largest value? || what were the various values for game attendance in 1981? |
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 | {
"column_index": [
5,
5,
5,
5,
5,
5,
5,
5,
5,
5,
5,
5
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11
]
} | [
"what was the attendance of each game?"
] | 1 | 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 was the attendance of each game? | [
[
"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 was the attendance of each game? || |
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