MMTU-benchmark/MMTU huggingface dataset:
Task: List-to-table (source dataset: TEGRA)

You are given a table below, where each row corresponds to a record, with multiple columns/attributes. However, the column delimiters separating cell values belonging to different columns within the same row, are missing. 

Your task is to inspect the data below, identify column separators, and mark them clearly using "||" in each row. Please ensure that after your column separators "||" are inserted, each row should have the same number of columns. Also make sure that the output table preserves the order of the input rows, with each output row separated by a new line just like the input rows. 

No explanation and return the processed table string in JSON format: {"table": "<processed table string>"}

Input:
Housing, Median Year Built 1941.0 1966.0 1977.0
Built 1999 or Later 13.827116212338595% 21.21162816425027% 28.204198972986493%
Built 1995 to 1998 0.8070301291248206% 3.0104886689895385% 5.219895386521848%
Built 1990 to 1994 2.187948350071736% 3.411028433146252% 5.190437304838309%
Built 1980 to 1989 3.1384505021520805% 9.084314575635238% 11.367547629606669%
Built 1970 to 1979 1.7754662840746054% 11.31011755802018% 14.675926938248068%
Built 1960 to 1969 5.88235294117647% 14.361714093249528% 11.925345810675065%
Built 1950 to 1959 14.939024390243901% 15.971977624254997% 11.33434214953356%
Built 1940 to 1949 10.258249641319942% 9.260825713432565% 6.386756023495284%



TEGRA_table_txt_file: table_5989.txt
TEGRA_TABLE_TEXT: Housing, Median Year Built 1941.0 1966.0 1977.0
Built 1999 or Later 13.827116212338595% 21.21162816425027% 28.204198972986493%
Built 1995 to 1998 0.8070301291248206% 3.0104886689895385% 5.219895386521848%
Built 1990 to 1994 2.187948350071736% 3.411028433146252% 5.190437304838309%
Built 1980 to 1989 3.1384505021520805% 9.084314575635238% 11.367547629606669%
Built 1970 to 1979 1.7754662840746054% 11.31011755802018% 14.675926938248068%
Built 1960 to 1969 5.88235294117647% 14.361714093249528% 11.925345810675065%
Built 1950 to 1959 14.939024390243901% 15.971977624254997% 11.33434214953356%
Built 1940 to 1949 10.258249641319942% 9.260825713432565% 6.386756023495284%
label: Housing, Median Year Built||1941.0||1966.0||1977.0
Built 1999 or Later||13.827116212338595%||21.21162816425027%||28.204198972986493%
Built 1995 to 1998||0.8070301291248206%||3.0104886689895385%||5.219895386521848%
Built 1990 to 1994||2.187948350071736%||3.411028433146252%||5.190437304838309%
Built 1980 to 1989||3.1384505021520805%||9.084314575635238%||11.367547629606669%
Built 1970 to 1979||1.7754662840746054%||11.31011755802018%||14.675926938248068%
Built 1960 to 1969||5.88235294117647%||14.361714093249528%||11.925345810675065%
Built 1950 to 1959||14.939024390243901%||15.971977624254997%||11.33434214953356%
Built 1940 to 1949||10.258249641319942%||9.260825713432565%||6.386756023495284%
Task: List-to-table (source dataset: TEGRA)

You are given a table below, where each row corresponds to a record, with multiple columns/attributes. However, the column delimiters separating cell values belonging to different columns within the same row, are missing. 

Your task is to inspect the data below, identify column separators, and mark them clearly using "||" in each row. Please ensure that after your column separators "||" are inserted, each row should have the same number of columns. Also make sure that the output table preserves the order of the input rows, with each output row separated by a new line just like the input rows. 

No explanation and return the processed table string in JSON format: {"table": "<processed table string>"}

Input:
10. Newcastle 8 3 2 3 -3 11
11. Swansea 8 3 1 4 1 10
12. Aston Villa 7 3 1 3 1 10
13. WBA 8 2 4 2 1 10
14. West Ham 8 2 2 4 0 8



TEGRA_table_txt_file: table_470.txt
TEGRA_TABLE_TEXT: 10. Newcastle 8 3 2 3 -3 11
11. Swansea 8 3 1 4 1 10
12. Aston Villa 7 3 1 3 1 10
13. WBA 8 2 4 2 1 10
14. West Ham 8 2 2 4 0 8
label: 10. Newcastle||8||3||2||3||-3||11
11. Swansea||8||3||1||4||1||10
12. Aston Villa||7||3||1||3||1||10
13. WBA||8||2||4||2||1||10
14. West Ham||8||2||2||4||0||8
Task: List-to-table (source dataset: TEGRA)

You are given a table below, where each row corresponds to a record, with multiple columns/attributes. However, the column delimiters separating cell values belonging to different columns within the same row, are missing. 

Your task is to inspect the data below, identify column separators, and mark them clearly using "||" in each row. Please ensure that after your column separators "||" are inserted, each row should have the same number of columns. Also make sure that the output table preserves the order of the input rows, with each output row separated by a new line just like the input rows. 

No explanation and return the processed table string in JSON format: {"table": "<processed table string>"}

Input:
2 Oregon (3) 7-0 1427
3 Florida State (2) 6-0 1395
4 Ohio State 7-0 1309
5 Missouri 7-0 1197
6 Baylor 6-0 1189
7 Miami (FL) 6-0 1130
8 Stanford 6-1 1118
9 Clemson 6-1 927
10 Texas Tech 7-0 904
11 Auburn 6-1 867
12 UCLA 5-1 832
13 LSU 6-2 739
14 Texas A&M 5-2 683
15 Fresno State 6-0 550
16 Virginia Tech 6-1 509
17 Oklahoma 6-1 501
18 Louisville 6-1 428
19 Oklahoma State 5-1 382
20 South Carolina 5-2 381
21 UCF 5-1 345
22 Wisconsin 5-2 258
23 Northern Illinois 7-0 220
24 Michigan 6-1 169



TEGRA_table_txt_file: table_227.txt
TEGRA_TABLE_TEXT: 2 Oregon (3) 7-0 1427
3 Florida State (2) 6-0 1395
4 Ohio State 7-0 1309
5 Missouri 7-0 1197
6 Baylor 6-0 1189
7 Miami (FL) 6-0 1130
8 Stanford 6-1 1118
9 Clemson 6-1 927
10 Texas Tech 7-0 904
11 Auburn 6-1 867
12 UCLA 5-1 832
13 LSU 6-2 739
14 Texas A&M 5-2 683
15 Fresno State 6-0 550
16 Virginia Tech 6-1 509
17 Oklahoma 6-1 501
18 Louisville 6-1 428
19 Oklahoma State 5-1 382
20 South Carolina 5-2 381
21 UCF 5-1 345
22 Wisconsin 5-2 258
23 Northern Illinois 7-0 220
24 Michigan 6-1 169
label: 2||Oregon (3)||7-0||1427
3||Florida State (2)||6-0||1395
4||Ohio State||7-0||1309
5||Missouri||7-0||1197
6||Baylor||6-0||1189
7||Miami (FL)||6-0||1130
8||Stanford||6-1||1118
9||Clemson||6-1||927
10||Texas Tech||7-0||904
11||Auburn||6-1||867
12||UCLA||5-1||832
13||LSU||6-2||739
14||Texas A&M||5-2||683
15||Fresno State||6-0||550
16||Virginia Tech||6-1||509
17||Oklahoma||6-1||501
18||Louisville||6-1||428
19||Oklahoma State||5-1||382
20||South Carolina||5-2||381
21||UCF||5-1||345
22||Wisconsin||5-2||258
23||Northern Illinois||7-0||220
24||Michigan||6-1||169
Task: List-to-table (source dataset: TEGRA)

You are given a table below, where each row corresponds to a record, with multiple columns/attributes. However, the column delimiters separating cell values belonging to different columns within the same row, are missing. 

Your task is to inspect the data below, identify column separators, and mark them clearly using "||" in each row. Please ensure that after your column separators "||" are inserted, each row should have the same number of columns. Also make sure that the output table preserves the order of the input rows, with each output row separated by a new line just like the input rows. 

No explanation and return the processed table string in JSON format: {"table": "<processed table string>"}

Input:
Other Government Administration 17 $79,383 $56,035 6 $2,161
Judicial and Legal 13 $34,687 $32,019 0 $0
Police Protection - Officers 97 $690,232 $85,390 0 $0
Police - Other 23 $64,330 $33,563 21 $17,588
Firefighters 23 $165,231 $86,207 0 $0
Fire - Other 10 $36,710 $44,052 2 $3,091
Streets and Highways 17 $77,742 $54,877 0 $0
Welfare 4 $13,855 $41,565 1 $1,165
Health 14 $52,219 $44,759 1 $848
Solid Waste Management 45 $162,426 $43,314 0 $0
Sewerage 20 $103,354 $62,012 6 $1,501
Parks and Recreation 9 $34,459 $45,945 13 $6,071
Housing and Community Development(Local) 47 $172,203 $43,967 24 $22,904
Local Libraries 15 $48,555 $38,844 8 $5,652



TEGRA_table_txt_file: table_8321.txt
TEGRA_TABLE_TEXT: Other Government Administration 17 $79,383 $56,035 6 $2,161
Judicial and Legal 13 $34,687 $32,019 0 $0
Police Protection - Officers 97 $690,232 $85,390 0 $0
Police - Other 23 $64,330 $33,563 21 $17,588
Firefighters 23 $165,231 $86,207 0 $0
Fire - Other 10 $36,710 $44,052 2 $3,091
Streets and Highways 17 $77,742 $54,877 0 $0
Welfare 4 $13,855 $41,565 1 $1,165
Health 14 $52,219 $44,759 1 $848
Solid Waste Management 45 $162,426 $43,314 0 $0
Sewerage 20 $103,354 $62,012 6 $1,501
Parks and Recreation 9 $34,459 $45,945 13 $6,071
Housing and Community Development(Local) 47 $172,203 $43,967 24 $22,904
Local Libraries 15 $48,555 $38,844 8 $5,652
label: Other Government Administration||17||$79,383||$56,035||6||$2,161
Judicial and Legal||13||$34,687||$32,019||0||$0
Police Protection - Officers||97||$690,232||$85,390||0||$0
Police - Other||23||$64,330||$33,563||21||$17,588
Firefighters||23||$165,231||$86,207||0||$0
Fire - Other||10||$36,710||$44,052||2||$3,091
Streets and Highways||17||$77,742||$54,877||0||$0
Welfare||4||$13,855||$41,565||1||$1,165
Health||14||$52,219||$44,759||1||$848
Solid Waste Management||45||$162,426||$43,314||0||$0
Sewerage||20||$103,354||$62,012||6||$1,501
Parks and Recreation||9||$34,459||$45,945||13||$6,071
Housing and Community Development(Local)||47||$172,203||$43,967||24||$22,904
Local Libraries||15||$48,555||$38,844||8||$5,652
Task: List-to-table (source dataset: TEGRA)

You are given a table below, where each row corresponds to a record, with multiple columns/attributes. However, the column delimiters separating cell values belonging to different columns within the same row, are missing. 

Your task is to inspect the data below, identify column separators, and mark them clearly using "||" in each row. Please ensure that after your column separators "||" are inserted, each row should have the same number of columns. Also make sure that the output table preserves the order of the input rows, with each output row separated by a new line just like the input rows. 

No explanation and return the processed table string in JSON format: {"table": "<processed table string>"}

Input:
Bonuses (0) n/a No Reports
Cash Bonus (0) n/a No Reports
Stock Bonus (0) n/a No Reports
Profit Sharing (0) n/a No Reports
Other Pay (0) n/a No Reports
Commissions on Sales (0) n/a No Reports
Tips (0) n/a No Reports
Salaries in USD Average $52k $54k $56k



TEGRA_table_txt_file: table_1530.txt
TEGRA_TABLE_TEXT: Bonuses (0) n/a No Reports
Cash Bonus (0) n/a No Reports
Stock Bonus (0) n/a No Reports
Profit Sharing (0) n/a No Reports
Other Pay (0) n/a No Reports
Commissions on Sales (0) n/a No Reports
Tips (0) n/a No Reports
Salaries in USD Average $52k $54k $56k
label: Bonuses (0)||n/a||No Reports
Cash Bonus (0)||n/a||No Reports
Stock Bonus (0)||n/a||No Reports
Profit Sharing (0)||n/a||No Reports
Other Pay (0)||n/a||No Reports
Commissions on Sales (0)||n/a||No Reports
Tips (0)||n/a||No Reports
Salaries in USD||Average||$52k $54k $56k
Task: List-to-table (source dataset: TEGRA)

You are given a table below, where each row corresponds to a record, with multiple columns/attributes. However, the column delimiters separating cell values belonging to different columns within the same row, are missing. 

Your task is to inspect the data below, identify column separators, and mark them clearly using "||" in each row. Please ensure that after your column separators "||" are inserted, each row should have the same number of columns. Also make sure that the output table preserves the order of the input rows, with each output row separated by a new line just like the input rows. 

No explanation and return the processed table string in JSON format: {"table": "<processed table string>"}

Input:
TEAM Competition GS SB G A SH SG FC FS YC RC
Iceland ECQ 6 0 0 0 0 0 0 0 0 0
Charlton Athletic FAC 3 0 0 0 0 0 0 0 0 0
Charlton Athletic Prem 33 1 1 2 24 6 53 34 4 0
Iceland Int 2 0 0 0 0 0 0 0 0 0
Charlton Athletic CC 2 0 1 0 0 0 0 0 1 0



TEGRA_table_txt_file: table_3809.txt
TEGRA_TABLE_TEXT: TEAM Competition GS SB G A SH SG FC FS YC RC
Iceland ECQ 6 0 0 0 0 0 0 0 0 0
Charlton Athletic FAC 3 0 0 0 0 0 0 0 0 0
Charlton Athletic Prem 33 1 1 2 24 6 53 34 4 0
Iceland Int 2 0 0 0 0 0 0 0 0 0
Charlton Athletic CC 2 0 1 0 0 0 0 0 1 0
label: TEAM||Competition||GS||SB||G||A||SH||SG||FC||FS||YC||RC
Iceland||ECQ||6||0||0||0||0||0||0||0||0||0
Charlton Athletic||FAC||3||0||0||0||0||0||0||0||0||0
Charlton Athletic||Prem||33||1||1||2||24||6||53||34||4||0
Iceland||Int||2||0||0||0||0||0||0||0||0||0
Charlton Athletic||CC||2||0||1||0||0||0||0||0||1||0
Task: List-to-table (source dataset: TEGRA)

You are given a table below, where each row corresponds to a record, with multiple columns/attributes. However, the column delimiters separating cell values belonging to different columns within the same row, are missing. 

Your task is to inspect the data below, identify column separators, and mark them clearly using "||" in each row. Please ensure that after your column separators "||" are inserted, each row should have the same number of columns. Also make sure that the output table preserves the order of the input rows, with each output row separated by a new line just like the input rows. 

No explanation and return the processed table string in JSON format: {"table": "<processed table string>"}

Input:
Year Team Posn G GS TC PO A E DP FLD%
2006 NYM P 2 0 0 0 0 0 0 ---
2007 NYM P 3 1 0 0 0 0 0 ---
2008 MIN P 5 0 2 1 1 0 0 1.000
2009 MIN P 8 0 2 0 1 1 0 .500
2010 KC P 8 1 1 1 0 0 0 1.000
2011 CHW P 28 26 28 12 15 1 0 .964
2012 CHW P 26 16 13 8 5 0 0 1.000
2013 HOU P 17 7 11 7 4 0 0 1.000



TEGRA_table_txt_file: table_616.txt
TEGRA_TABLE_TEXT: Year Team Posn G GS TC PO A E DP FLD%
2006 NYM P 2 0 0 0 0 0 0 ---
2007 NYM P 3 1 0 0 0 0 0 ---
2008 MIN P 5 0 2 1 1 0 0 1.000
2009 MIN P 8 0 2 0 1 1 0 .500
2010 KC P 8 1 1 1 0 0 0 1.000
2011 CHW P 28 26 28 12 15 1 0 .964
2012 CHW P 26 16 13 8 5 0 0 1.000
2013 HOU P 17 7 11 7 4 0 0 1.000
label: Year||Team||Posn||G||GS||TC||PO||A||E||DP||FLD%
2006||NYM||P||2||0||0||0||0||0||0||---
2007||NYM||P||3||1||0||0||0||0||0||---
2008||MIN||P||5||0||2||1||1||0||0||1.000
2009||MIN||P||8||0||2||0||1||1||0||.500
2010||KC||P||8||1||1||1||0||0||0||1.000
2011||CHW||P||28||26||28||12||15||1||0||.964
2012||CHW||P||26||16||13||8||5||0||0||1.000
2013||HOU||P||17||7||11||7||4||0||0||1.000
Task: List-to-table (source dataset: TEGRA)

You are given a table below, where each row corresponds to a record, with multiple columns/attributes. However, the column delimiters separating cell values belonging to different columns within the same row, are missing. 

Your task is to inspect the data below, identify column separators, and mark them clearly using "||" in each row. Please ensure that after your column separators "||" are inserted, each row should have the same number of columns. Also make sure that the output table preserves the order of the input rows, with each output row separated by a new line just like the input rows. 

No explanation and return the processed table string in JSON format: {"table": "<processed table string>"}

Input:
Team [Click for Roster] Uniform Numbers Salary All-Star World Series
2003 New York Mets 7 $300,000.00 - -
2004 New York Mets 7 $307,500.00 - -
2005 New York Mets 7 $332,000.00 - -
2006 New York Mets 7 $401,500.00 Stats -
2007 New York Mets 7 $2,875,000.00 Stats -
2008 New York Mets 7 $4,375,000.00 - -
2009 New York Mets 7 $6,125,000.00 - -
2010 New York Mets 7 $9,375,000.00 Stats -
2011 New York Mets 7 $11,000,000.00 Stats -
2012 Miami Marlins 7 $10,000,000.00 - -
2013 Toronto Blue Jays 7 $10,000,000.00 - -



TEGRA_table_txt_file: table_9615.txt
TEGRA_TABLE_TEXT: Team [Click for Roster] Uniform Numbers Salary All-Star World Series
2003 New York Mets 7 $300,000.00 - -
2004 New York Mets 7 $307,500.00 - -
2005 New York Mets 7 $332,000.00 - -
2006 New York Mets 7 $401,500.00 Stats -
2007 New York Mets 7 $2,875,000.00 Stats -
2008 New York Mets 7 $4,375,000.00 - -
2009 New York Mets 7 $6,125,000.00 - -
2010 New York Mets 7 $9,375,000.00 Stats -
2011 New York Mets 7 $11,000,000.00 Stats -
2012 Miami Marlins 7 $10,000,000.00 - -
2013 Toronto Blue Jays 7 $10,000,000.00 - -
label: Team [Click for Roster]||Uniform Numbers||Salary||All-Star||World Series
2003 New York Mets||7||$300,000.00||-||-
2004 New York Mets||7||$307,500.00||-||-
2005 New York Mets||7||$332,000.00||-||-
2006 New York Mets||7||$401,500.00||Stats||-
2007 New York Mets||7||$2,875,000.00||Stats||-
2008 New York Mets||7||$4,375,000.00||-||-
2009 New York Mets||7||$6,125,000.00||-||-
2010 New York Mets||7||$9,375,000.00||Stats||-
2011 New York Mets||7||$11,000,000.00||Stats||-
2012 Miami Marlins||7||$10,000,000.00||-||-
2013 Toronto Blue Jays||7||$10,000,000.00||-||-
Task: List-to-table (source dataset: TEGRA)

You are given a table below, where each row corresponds to a record, with multiple columns/attributes. However, the column delimiters separating cell values belonging to different columns within the same row, are missing. 

Your task is to inspect the data below, identify column separators, and mark them clearly using "||" in each row. Please ensure that after your column separators "||" are inserted, each row should have the same number of columns. Also make sure that the output table preserves the order of the input rows, with each output row separated by a new line just like the input rows. 

No explanation and return the processed table string in JSON format: {"table": "<processed table string>"}

Input:
Raid The Docks None None None
Public Enemies Crime Spree None None None
Bring The Family Together None None None
Last Score of 2009 None None None
Valentine's Day Massacre None None None
Dublin Derby None None None
Easter Crime Basket None None None
Global Cup None None None
Whack The Rat Jimmy Vegas None None None



TEGRA_table_txt_file: table_2929.txt
TEGRA_TABLE_TEXT: Raid The Docks None None None
Public Enemies Crime Spree None None None
Bring The Family Together None None None
Last Score of 2009 None None None
Valentine's Day Massacre None None None
Dublin Derby None None None
Easter Crime Basket None None None
Global Cup None None None
Whack The Rat Jimmy Vegas None None None
label: Raid The Docks||None||None||None
Public Enemies Crime Spree||None||None||None
Bring The Family Together||None||None||None
Last Score of 2009||None||None||None
Valentine's Day Massacre||None||None||None
Dublin Derby||None||None||None
Easter Crime Basket||None||None||None
Global Cup||None||None||None
Whack The Rat Jimmy Vegas||None||None||None
Task: List-to-table (source dataset: TEGRA)

You are given a table below, where each row corresponds to a record, with multiple columns/attributes. However, the column delimiters separating cell values belonging to different columns within the same row, are missing. 

Your task is to inspect the data below, identify column separators, and mark them clearly using "||" in each row. Please ensure that after your column separators "||" are inserted, each row should have the same number of columns. Also make sure that the output table preserves the order of the input rows, with each output row separated by a new line just like the input rows. 

No explanation and return the processed table string in JSON format: {"table": "<processed table string>"}

Input:
Salary (1) n/a $21k $23k
Bonuses (0) n/a No Reports
Cash Bonus (0) n/a No Reports
Stock Bonus (0) n/a No Reports
Profit Sharing (0) n/a No Reports
Other Pay (0) n/a No Reports
Commissions on Sales (0) n/a No Reports
Tips (0) n/a No Reports
Salaries in USD Average $21k $22k $23k



TEGRA_table_txt_file: table_7340.txt
TEGRA_TABLE_TEXT: Salary (1) n/a $21k $23k
Bonuses (0) n/a No Reports
Cash Bonus (0) n/a No Reports
Stock Bonus (0) n/a No Reports
Profit Sharing (0) n/a No Reports
Other Pay (0) n/a No Reports
Commissions on Sales (0) n/a No Reports
Tips (0) n/a No Reports
Salaries in USD Average $21k $22k $23k
label: Salary (1)||n/a||$21k $23k
Bonuses (0)||n/a||No Reports
Cash Bonus (0)||n/a||No Reports
Stock Bonus (0)||n/a||No Reports
Profit Sharing (0)||n/a||No Reports
Other Pay (0)||n/a||No Reports
Commissions on Sales (0)||n/a||No Reports
Tips (0)||n/a||No Reports
Salaries in USD||Average||$21k $22k $23k
Task: List-to-table (source dataset: TEGRA)

You are given a table below, where each row corresponds to a record, with multiple columns/attributes. However, the column delimiters separating cell values belonging to different columns within the same row, are missing. 

Your task is to inspect the data below, identify column separators, and mark them clearly using "||" in each row. Please ensure that after your column separators "||" are inserted, each row should have the same number of columns. Also make sure that the output table preserves the order of the input rows, with each output row separated by a new line just like the input rows. 

No explanation and return the processed table string in JSON format: {"table": "<processed table string>"}

Input:
Clark County 10,150 9,175 975 9.7
Conway County 9,750 8,950 800 8.3
Garland County 42,150 38,850 3,300 7.8
Hot Spring County 15,825 14,675 1,150 7.2
Johnson County 10,750 9,900 850 7.9
Montgomery County 4,075 3,800 275 7.0
Perry County 4,650 4,300 350 7.6
Pike County 4,250 3,850 400 9.4
Pope County 28,625 26,275 2,350 8.2



TEGRA_table_txt_file: table_3793.txt
TEGRA_TABLE_TEXT: Clark County 10,150 9,175 975 9.7
Conway County 9,750 8,950 800 8.3
Garland County 42,150 38,850 3,300 7.8
Hot Spring County 15,825 14,675 1,150 7.2
Johnson County 10,750 9,900 850 7.9
Montgomery County 4,075 3,800 275 7.0
Perry County 4,650 4,300 350 7.6
Pike County 4,250 3,850 400 9.4
Pope County 28,625 26,275 2,350 8.2
label: Clark County||10,150||9,175||975||9.7
Conway County||9,750||8,950||800||8.3
Garland County||42,150||38,850||3,300||7.8
Hot Spring County||15,825||14,675||1,150||7.2
Johnson County||10,750||9,900||850||7.9
Montgomery County||4,075||3,800||275||7.0
Perry County||4,650||4,300||350||7.6
Pike County||4,250||3,850||400||9.4
Pope County||28,625||26,275||2,350||8.2
Task: List-to-table (source dataset: TEGRA)

You are given a table below, where each row corresponds to a record, with multiple columns/attributes. However, the column delimiters separating cell values belonging to different columns within the same row, are missing. 

Your task is to inspect the data below, identify column separators, and mark them clearly using "||" in each row. Please ensure that after your column separators "||" are inserted, each row should have the same number of columns. Also make sure that the output table preserves the order of the input rows, with each output row separated by a new line just like the input rows. 

No explanation and return the processed table string in JSON format: {"table": "<processed table string>"}

Input:
B 1,018.44 986.15
C 1,163.93 1,127.03
D 1,309.42 1,267.91
E 1,600.40 1,549.67
F 1,891.38 1,831.43
G 2,182.37 2,113.18



TEGRA_table_txt_file: table_9308.txt
TEGRA_TABLE_TEXT: B 1,018.44 986.15
C 1,163.93 1,127.03
D 1,309.42 1,267.91
E 1,600.40 1,549.67
F 1,891.38 1,831.43
G 2,182.37 2,113.18
label: B||1,018.44||986.15
C||1,163.93||1,127.03
D||1,309.42||1,267.91
E||1,600.40||1,549.67
F||1,891.38||1,831.43
G||2,182.37||2,113.18
Task: List-to-table (source dataset: TEGRA)

You are given a table below, where each row corresponds to a record, with multiple columns/attributes. However, the column delimiters separating cell values belonging to different columns within the same row, are missing. 

Your task is to inspect the data below, identify column separators, and mark them clearly using "||" in each row. Please ensure that after your column separators "||" are inserted, each row should have the same number of columns. Also make sure that the output table preserves the order of the input rows, with each output row separated by a new line just like the input rows. 

No explanation and return the processed table string in JSON format: {"table": "<processed table string>"}

Input:
15 Sweetfield Cir, Yonkers NY 0.22 Single-Family Home $350,000 04/18/13 3 1.5 2,061
26 Holly St, Yonkers NY 0.36 Single-Family Home $390,000 07/09/13 3 2.5 1,778
15 Catskill Ave, Yonkers NY 0.41 Single-Family Home $397,500 03/15/13 3 1.5 1,298
190 Valentine St, Yonkers NY 0.56 Single-Family Home $330,600 02/20/13 2 1.5 1,092
88 Edgecliff Ter, Yonkers NY 0.67 Single-Family Home $235,000 01/23/13 4 2 1,684
149 Devoe Ave, Yonkers NY 0.80 Single-Family Home $320,000 06/06/13 3 2 1,637
37 Wendover Rd, Yonkers NY 0.85 Single-Family Home $419,000 08/01/13 3 2 1,568
40 Bajart Pl, Yonkers NY 0.88 Single-Family Home $445,000 07/02/13 3 2 1,822



TEGRA_table_txt_file: table_9185.txt
TEGRA_TABLE_TEXT: 15 Sweetfield Cir, Yonkers NY 0.22 Single-Family Home $350,000 04/18/13 3 1.5 2,061
26 Holly St, Yonkers NY 0.36 Single-Family Home $390,000 07/09/13 3 2.5 1,778
15 Catskill Ave, Yonkers NY 0.41 Single-Family Home $397,500 03/15/13 3 1.5 1,298
190 Valentine St, Yonkers NY 0.56 Single-Family Home $330,600 02/20/13 2 1.5 1,092
88 Edgecliff Ter, Yonkers NY 0.67 Single-Family Home $235,000 01/23/13 4 2 1,684
149 Devoe Ave, Yonkers NY 0.80 Single-Family Home $320,000 06/06/13 3 2 1,637
37 Wendover Rd, Yonkers NY 0.85 Single-Family Home $419,000 08/01/13 3 2 1,568
40 Bajart Pl, Yonkers NY 0.88 Single-Family Home $445,000 07/02/13 3 2 1,822
label: 15 Sweetfield Cir, Yonkers NY||0.22||Single-Family Home||$350,000||04/18/13||3||1.5||2,061
26 Holly St, Yonkers NY||0.36||Single-Family Home||$390,000||07/09/13||3||2.5||1,778
15 Catskill Ave, Yonkers NY||0.41||Single-Family Home||$397,500||03/15/13||3||1.5||1,298
190 Valentine St, Yonkers NY||0.56||Single-Family Home||$330,600||02/20/13||2||1.5||1,092
88 Edgecliff Ter, Yonkers NY||0.67||Single-Family Home||$235,000||01/23/13||4||2||1,684
149 Devoe Ave, Yonkers NY||0.80||Single-Family Home||$320,000||06/06/13||3||2||1,637
37 Wendover Rd, Yonkers NY||0.85||Single-Family Home||$419,000||08/01/13||3||2||1,568
40 Bajart Pl, Yonkers NY||0.88||Single-Family Home||$445,000||07/02/13||3||2||1,822
Task: List-to-table (source dataset: TEGRA)

You are given a table below, where each row corresponds to a record, with multiple columns/attributes. However, the column delimiters separating cell values belonging to different columns within the same row, are missing. 

Your task is to inspect the data below, identify column separators, and mark them clearly using "||" in each row. Please ensure that after your column separators "||" are inserted, each row should have the same number of columns. Also make sure that the output table preserves the order of the input rows, with each output row separated by a new line just like the input rows. 

No explanation and return the processed table string in JSON format: {"table": "<processed table string>"}

Input:
554400053 54 530 dreapta 210 175 190 300
561400060 61 600 dreapta 242 175 175 360
563400061 63 610 dreapta 242 175 190 370
563401061 63 610 stanga 242 175 190 370
574402075 74 750 dreapta 278 175 175 410
577400078 77 780 dreapta 278 175 190 430
585200080 85 800 dreapta 315 175 175 500
600402083 100 830 dreapta 353 175 190 560



TEGRA_table_txt_file: table_6248.txt
TEGRA_TABLE_TEXT: 554400053 54 530 dreapta 210 175 190 300
561400060 61 600 dreapta 242 175 175 360
563400061 63 610 dreapta 242 175 190 370
563401061 63 610 stanga 242 175 190 370
574402075 74 750 dreapta 278 175 175 410
577400078 77 780 dreapta 278 175 190 430
585200080 85 800 dreapta 315 175 175 500
600402083 100 830 dreapta 353 175 190 560
label: 554400053||54||530||dreapta||210||175||190||300
561400060||61||600||dreapta||242||175||175||360
563400061||63||610||dreapta||242||175||190||370
563401061||63||610||stanga||242||175||190||370
574402075||74||750||dreapta||278||175||175||410
577400078||77||780||dreapta||278||175||190||430
585200080||85||800||dreapta||315||175||175||500
600402083||100||830||dreapta||353||175||190||560
Task: List-to-table (source dataset: TEGRA)

You are given a table below, where each row corresponds to a record, with multiple columns/attributes. However, the column delimiters separating cell values belonging to different columns within the same row, are missing. 

Your task is to inspect the data below, identify column separators, and mark them clearly using "||" in each row. Please ensure that after your column separators "||" are inserted, each row should have the same number of columns. Also make sure that the output table preserves the order of the input rows, with each output row separated by a new line just like the input rows. 

No explanation and return the processed table string in JSON format: {"table": "<processed table string>"}

Input:
 % % %
2011 Oct 6-9 1 99 --
2010 Oct 7-10 1 99 --
2009 Oct 1-4 1 98 *
2008 Oct 3-5 1 98 *
2007 Oct 4-7 1 98 *
2006 Oct 9-12 2 98 *
2005 Oct 13-16 1 99 *
2004 Oct 11-14 * 100 --
2003 Oct 6-8 1 99 *
2002 Oct 14-17 2 98 *



TEGRA_table_txt_file: table_8083.txt
TEGRA_TABLE_TEXT:  % % %
2011 Oct 6-9 1 99 --
2010 Oct 7-10 1 99 --
2009 Oct 1-4 1 98 *
2008 Oct 3-5 1 98 *
2007 Oct 4-7 1 98 *
2006 Oct 9-12 2 98 *
2005 Oct 13-16 1 99 *
2004 Oct 11-14 * 100 --
2003 Oct 6-8 1 99 *
2002 Oct 14-17 2 98 *
label: ||%||%||%
2011 Oct 6-9||1||99||--
2010 Oct 7-10||1||99||--
2009 Oct 1-4||1||98||*
2008 Oct 3-5||1||98||*
2007 Oct 4-7||1||98||*
2006 Oct 9-12||2||98||*
2005 Oct 13-16||1||99||*
2004 Oct 11-14||*||100||--
2003 Oct 6-8||1||99||*
2002 Oct 14-17||2||98||*
Task: List-to-table (source dataset: TEGRA)

You are given a table below, where each row corresponds to a record, with multiple columns/attributes. However, the column delimiters separating cell values belonging to different columns within the same row, are missing. 

Your task is to inspect the data below, identify column separators, and mark them clearly using "||" in each row. Please ensure that after your column separators "||" are inserted, each row should have the same number of columns. Also make sure that the output table preserves the order of the input rows, with each output row separated by a new line just like the input rows. 

No explanation and return the processed table string in JSON format: {"table": "<processed table string>"}

Input:
XS 86-91 XS 14&frac12; 37
S 91-96 S 15 38
M 96-101 M 15&frac12; 39
M 96-101 M 15&frac34; 40
L 101-106 L 16 41
L 101-106 L 16&frac12; 42
XL 106-111 XL 17 43
XL 106-111 XL 17.5 44
XXL 111-116 XXL 17&frac34; 45
XXL 111-116 XXL 18 46
XXXL 118-122 XXXL 18&frac12; 47



TEGRA_table_txt_file: table_7433.txt
TEGRA_TABLE_TEXT: XS 86-91 XS 14&frac12; 37
S 91-96 S 15 38
M 96-101 M 15&frac12; 39
M 96-101 M 15&frac34; 40
L 101-106 L 16 41
L 101-106 L 16&frac12; 42
XL 106-111 XL 17 43
XL 106-111 XL 17.5 44
XXL 111-116 XXL 17&frac34; 45
XXL 111-116 XXL 18 46
XXXL 118-122 XXXL 18&frac12; 47
label: XS||86-91||XS||14&frac12;||37
S||91-96||S||15||38
M||96-101||M||15&frac12;||39
M||96-101||M||15&frac34;||40
L||101-106||L||16||41
L||101-106||L||16&frac12;||42
XL||106-111||XL||17||43
XL||106-111||XL||17.5||44
XXL||111-116||XXL||17&frac34;||45
XXL||111-116||XXL||18||46
XXXL||118-122||XXXL||18&frac12;||47
Task: List-to-table (source dataset: TEGRA)

You are given a table below, where each row corresponds to a record, with multiple columns/attributes. However, the column delimiters separating cell values belonging to different columns within the same row, are missing. 

Your task is to inspect the data below, identify column separators, and mark them clearly using "||" in each row. Please ensure that after your column separators "||" are inserted, each row should have the same number of columns. Also make sure that the output table preserves the order of the input rows, with each output row separated by a new line just like the input rows. 

No explanation and return the processed table string in JSON format: {"table": "<processed table string>"}

Input:
U7-U8 $275 4v4 8 40 min
U9-U10 $375 6v6 12 50 min
U7-U10 Academy $400 8v8 14 50 min
U11-U12 $400 8v8 14 50 min
U13-U14 $450 11v11 18 60 min



TEGRA_table_txt_file: table_1236.txt
TEGRA_TABLE_TEXT: U7-U8 $275 4v4 8 40 min
U9-U10 $375 6v6 12 50 min
U7-U10 Academy $400 8v8 14 50 min
U11-U12 $400 8v8 14 50 min
U13-U14 $450 11v11 18 60 min
label: U7-U8||$275||4v4||8||40 min
U9-U10||$375||6v6||12||50 min
U7-U10 Academy||$400||8v8||14||50 min
U11-U12||$400||8v8||14||50 min
U13-U14||$450||11v11||18||60 min
Task: List-to-table (source dataset: TEGRA)

You are given a table below, where each row corresponds to a record, with multiple columns/attributes. However, the column delimiters separating cell values belonging to different columns within the same row, are missing. 

Your task is to inspect the data below, identify column separators, and mark them clearly using "||" in each row. Please ensure that after your column separators "||" are inserted, each row should have the same number of columns. Also make sure that the output table preserves the order of the input rows, with each output row separated by a new line just like the input rows. 

No explanation and return the processed table string in JSON format: {"table": "<processed table string>"}

Input:
44 XS 29 75 - 78
46 S 30 79 - 82
48 M 31 83 - 86
50 M/L 32 87 - 90
52 L 33 91 - 94
3 XL 34 95 - 99
56 XXL 36 100 - 104



TEGRA_table_txt_file: table_8439.txt
TEGRA_TABLE_TEXT: 44 XS 29 75 - 78
46 S 30 79 - 82
48 M 31 83 - 86
50 M/L 32 87 - 90
52 L 33 91 - 94
3 XL 34 95 - 99
56 XXL 36 100 - 104
label: 44||XS||29||75 - 78
46||S||30||79 - 82
48||M||31||83 - 86
50||M/L||32||87 - 90
52||L||33||91 - 94
3||XL||34||95 - 99
56||XXL||36||100 - 104
Task: List-to-table (source dataset: TEGRA)

You are given a table below, where each row corresponds to a record, with multiple columns/attributes. However, the column delimiters separating cell values belonging to different columns within the same row, are missing. 

Your task is to inspect the data below, identify column separators, and mark them clearly using "||" in each row. Please ensure that after your column separators "||" are inserted, each row should have the same number of columns. Also make sure that the output table preserves the order of the input rows, with each output row separated by a new line just like the input rows. 

No explanation and return the processed table string in JSON format: {"table": "<processed table string>"}

Input:
1 PLN = 0.23973 EUR 4.17134 PLN = 1 EUR
2 PLN = 0.47946 EUR 8.34269 PLN = 2 EUR
5 PLN = 1.19865 EUR 20.85671 PLN = 5 EUR
10 PLN = 2.39731 EUR 41.71343 PLN = 10 EUR
15 PLN = 3.59596 EUR 62.57014 PLN = 15 EUR
20 PLN = 4.79462 EUR 83.42685 PLN = 20 EUR
25 PLN = 5.99327 EUR 104.28356 PLN = 25 EUR



TEGRA_table_txt_file: table_8594.txt
TEGRA_TABLE_TEXT: 1 PLN = 0.23973 EUR 4.17134 PLN = 1 EUR
2 PLN = 0.47946 EUR 8.34269 PLN = 2 EUR
5 PLN = 1.19865 EUR 20.85671 PLN = 5 EUR
10 PLN = 2.39731 EUR 41.71343 PLN = 10 EUR
15 PLN = 3.59596 EUR 62.57014 PLN = 15 EUR
20 PLN = 4.79462 EUR 83.42685 PLN = 20 EUR
25 PLN = 5.99327 EUR 104.28356 PLN = 25 EUR
label: 1 PLN =||0.23973 EUR||4.17134 PLN =||1 EUR
2 PLN =||0.47946 EUR||8.34269 PLN =||2 EUR
5 PLN =||1.19865 EUR||20.85671 PLN =||5 EUR
10 PLN =||2.39731 EUR||41.71343 PLN =||10 EUR
15 PLN =||3.59596 EUR||62.57014 PLN =||15 EUR
20 PLN =||4.79462 EUR||83.42685 PLN =||20 EUR
25 PLN =||5.99327 EUR||104.28356 PLN =||25 EUR
Task: List-to-table (source dataset: TEGRA)

You are given a table below, where each row corresponds to a record, with multiple columns/attributes. However, the column delimiters separating cell values belonging to different columns within the same row, are missing. 

Your task is to inspect the data below, identify column separators, and mark them clearly using "||" in each row. Please ensure that after your column separators "||" are inserted, each row should have the same number of columns. Also make sure that the output table preserves the order of the input rows, with each output row separated by a new line just like the input rows. 

No explanation and return the processed table string in JSON format: {"table": "<processed table string>"}

Input:
Carolina RailHawks 12 5 5 2 4 20
San Antonio Scorpions 12 6 2 4 4 20
Tampa Bay Rowdies 12 5 3 4 5 18
FC Edmonton 12 3 5 4 1 14
Minnesota United FC 12 4 2 6 -5 14



TEGRA_table_txt_file: table_393.txt
TEGRA_TABLE_TEXT: Carolina RailHawks 12 5 5 2 4 20
San Antonio Scorpions 12 6 2 4 4 20
Tampa Bay Rowdies 12 5 3 4 5 18
FC Edmonton 12 3 5 4 1 14
Minnesota United FC 12 4 2 6 -5 14
label: Carolina RailHawks||12||5||5||2||4||20
San Antonio Scorpions||12||6||2||4||4||20
Tampa Bay Rowdies||12||5||3||4||5||18
FC Edmonton||12||3||5||4||1||14
Minnesota United FC||12||4||2||6||-5||14
Task: List-to-table (source dataset: TEGRA)

You are given a table below, where each row corresponds to a record, with multiple columns/attributes. However, the column delimiters separating cell values belonging to different columns within the same row, are missing. 

Your task is to inspect the data below, identify column separators, and mark them clearly using "||" in each row. Please ensure that after your column separators "||" are inserted, each row should have the same number of columns. Also make sure that the output table preserves the order of the input rows, with each output row separated by a new line just like the input rows. 

No explanation and return the processed table string in JSON format: {"table": "<processed table string>"}

Input:
2. Bremen 14:5 8:2
3. Fulda 14:7 8:2
4. D&uuml;sseldorf 11:10 6:4
5. Frickenhausen 10:8 4:4
6. Grenzau 9:10 4:6
7. Saarbr&uuml;cken 7:9 4:6
8. Pl&uuml;derhausen 7:14 2:8
9. Hagen 6:13 2:8



TEGRA_table_txt_file: table_2520.txt
TEGRA_TABLE_TEXT: 2. Bremen 14:5 8:2
3. Fulda 14:7 8:2
4. D&uuml;sseldorf 11:10 6:4
5. Frickenhausen 10:8 4:4
6. Grenzau 9:10 4:6
7. Saarbr&uuml;cken 7:9 4:6
8. Pl&uuml;derhausen 7:14 2:8
9. Hagen 6:13 2:8
label: 2.||Bremen||14:5||8:2
3.||Fulda||14:7||8:2
4.||D&uuml;sseldorf||11:10||6:4
5.||Frickenhausen||10:8||4:4
6.||Grenzau||9:10||4:6
7.||Saarbr&uuml;cken||7:9||4:6
8.||Pl&uuml;derhausen||7:14||2:8
9.||Hagen||6:13||2:8
Task: List-to-table (source dataset: TEGRA)

You are given a table below, where each row corresponds to a record, with multiple columns/attributes. However, the column delimiters separating cell values belonging to different columns within the same row, are missing. 

Your task is to inspect the data below, identify column separators, and mark them clearly using "||" in each row. Please ensure that after your column separators "||" are inserted, each row should have the same number of columns. Also make sure that the output table preserves the order of the input rows, with each output row separated by a new line just like the input rows. 

No explanation and return the processed table string in JSON format: {"table": "<processed table string>"}

Input:
Other Parts Countries Suppliers Line Items Total Qty
398600710 1 11 11 12159
398600106 2 11 11 684
398600107 1 10 12 694
39860 3 10 11 43788
398600510 2 9 11 3614
398600702 2 9 10 2090
398600102 2 9 10 2909
39860-0105 1 8 10 8964
398600116 1 8 10 1828



TEGRA_table_txt_file: table_1282.txt
TEGRA_TABLE_TEXT: Other Parts Countries Suppliers Line Items Total Qty
398600710 1 11 11 12159
398600106 2 11 11 684
398600107 1 10 12 694
39860 3 10 11 43788
398600510 2 9 11 3614
398600702 2 9 10 2090
398600102 2 9 10 2909
39860-0105 1 8 10 8964
398600116 1 8 10 1828
label: Other Parts||Countries||Suppliers||Line Items||Total Qty
398600710||1||11||11||12159
398600106||2||11||11||684
398600107||1||10||12||694
39860||3||10||11||43788
398600510||2||9||11||3614
398600702||2||9||10||2090
398600102||2||9||10||2909
39860-0105||1||8||10||8964
398600116||1||8||10||1828
Task: List-to-table (source dataset: TEGRA)

You are given a table below, where each row corresponds to a record, with multiple columns/attributes. However, the column delimiters separating cell values belonging to different columns within the same row, are missing. 

Your task is to inspect the data below, identify column separators, and mark them clearly using "||" in each row. Please ensure that after your column separators "||" are inserted, each row should have the same number of columns. Also make sure that the output table preserves the order of the input rows, with each output row separated by a new line just like the input rows. 

No explanation and return the processed table string in JSON format: {"table": "<processed table string>"}

Input:
Bonuses (4) $3,088 $150 $6,000
Cash Bonus (3) $2,117 $150 $5,600
Stock Bonus (0) n/a No Reports
Profit Sharing (1) n/a $6,000 $6,000
Other Pay (5) $4,400 $300 $12k
Commissions on Sales (1) n/a $500 $500
Tips (4) $5,375 $300 $12k
Salaries in USD Average $5k $15k $25k



TEGRA_table_txt_file: table_4924.txt
TEGRA_TABLE_TEXT: Bonuses (4) $3,088 $150 $6,000
Cash Bonus (3) $2,117 $150 $5,600
Stock Bonus (0) n/a No Reports
Profit Sharing (1) n/a $6,000 $6,000
Other Pay (5) $4,400 $300 $12k
Commissions on Sales (1) n/a $500 $500
Tips (4) $5,375 $300 $12k
Salaries in USD Average $5k $15k $25k
label: Bonuses (4)||$3,088||$150 $6,000
Cash Bonus (3)||$2,117||$150 $5,600
Stock Bonus (0)||n/a||No Reports
Profit Sharing (1)||n/a||$6,000 $6,000
Other Pay (5)||$4,400||$300 $12k
Commissions on Sales (1)||n/a||$500 $500
Tips (4)||$5,375||$300 $12k
Salaries in USD||Average||$5k $15k $25k
Task: List-to-table (source dataset: TEGRA)

You are given a table below, where each row corresponds to a record, with multiple columns/attributes. However, the column delimiters separating cell values belonging to different columns within the same row, are missing. 

Your task is to inspect the data below, identify column separators, and mark them clearly using "||" in each row. Please ensure that after your column separators "||" are inserted, each row should have the same number of columns. Also make sure that the output table preserves the order of the input rows, with each output row separated by a new line just like the input rows. 

No explanation and return the processed table string in JSON format: {"table": "<processed table string>"}

Input:
US Size 2 4 6 8 10 12 14       
European Size 32 34 36 38 40 42 44       
UK Size 6 8 10 12 14 16 18       
 inch cm inch cm inch cm inch cm inch cm inch cm inch cm
Bust 32.5 83 33.5 85 34.5 88 35.5 90 36.5 93 38 97 39.5 100
Waist 25.5 65 26.5 67 27.5 70 28.5 72 29.5 75 31 79 32.5 83
Hips 36 91 37 94 38 97 39 99 40 101 41 104 42.5 108



TEGRA_table_txt_file: table_2512.txt
TEGRA_TABLE_TEXT: US Size 2 4 6 8 10 12 14       
European Size 32 34 36 38 40 42 44       
UK Size 6 8 10 12 14 16 18       
 inch cm inch cm inch cm inch cm inch cm inch cm inch cm
Bust 32.5 83 33.5 85 34.5 88 35.5 90 36.5 93 38 97 39.5 100
Waist 25.5 65 26.5 67 27.5 70 28.5 72 29.5 75 31 79 32.5 83
Hips 36 91 37 94 38 97 39 99 40 101 41 104 42.5 108
label: US Size||2||4||6||8||10||12||14||||||||||||||
European Size||32||34||36||38||40||42||44||||||||||||||
UK Size||6||8||10||12||14||16||18||||||||||||||
||inch||cm||inch||cm||inch||cm||inch||cm||inch||cm||inch||cm||inch||cm
Bust||32.5||83||33.5||85||34.5||88||35.5||90||36.5||93||38||97||39.5||100
Waist||25.5||65||26.5||67||27.5||70||28.5||72||29.5||75||31||79||32.5||83
Hips||36||91||37||94||38||97||39||99||40||101||41||104||42.5||108
Task: List-to-table (source dataset: TEGRA)

You are given a table below, where each row corresponds to a record, with multiple columns/attributes. However, the column delimiters separating cell values belonging to different columns within the same row, are missing. 

Your task is to inspect the data below, identify column separators, and mark them clearly using "||" in each row. Please ensure that after your column separators "||" are inserted, each row should have the same number of columns. Also make sure that the output table preserves the order of the input rows, with each output row separated by a new line just like the input rows. 

No explanation and return the processed table string in JSON format: {"table": "<processed table string>"}

Input:
28 Wycombe Rd $655,000 3 Auction 12/10/13
2 Mi Mi Rd $720,000 3 Normal Sale 11/10/13
103 Aldgate Valley Rd $475,000 3 Private Treaty 03/10/13
7 Azalea Pl $640,000 3 Normal Sale 18/09/13
14 Kingsland Rd $500,000 3 Normal Sale 11/09/13
217 Old Mount Barker Rd $3,500,000 6 Normal Sale 09/09/13
16 Linwood Av $669,000 4 Normal Sale 29/08/13
51 Churinga Rd $525,000 2 Normal Sale 26/08/13



TEGRA_table_txt_file: table_3233.txt
TEGRA_TABLE_TEXT: 28 Wycombe Rd $655,000 3 Auction 12/10/13
2 Mi Mi Rd $720,000 3 Normal Sale 11/10/13
103 Aldgate Valley Rd $475,000 3 Private Treaty 03/10/13
7 Azalea Pl $640,000 3 Normal Sale 18/09/13
14 Kingsland Rd $500,000 3 Normal Sale 11/09/13
217 Old Mount Barker Rd $3,500,000 6 Normal Sale 09/09/13
16 Linwood Av $669,000 4 Normal Sale 29/08/13
51 Churinga Rd $525,000 2 Normal Sale 26/08/13
label: 28 Wycombe Rd||$655,000||3||Auction||12/10/13
2 Mi Mi Rd||$720,000||3||Normal Sale||11/10/13
103 Aldgate Valley Rd||$475,000||3||Private Treaty||03/10/13
7 Azalea Pl||$640,000||3||Normal Sale||18/09/13
14 Kingsland Rd||$500,000||3||Normal Sale||11/09/13
217 Old Mount Barker Rd||$3,500,000||6||Normal Sale||09/09/13
16 Linwood Av||$669,000||4||Normal Sale||29/08/13
51 Churinga Rd||$525,000||2||Normal Sale||26/08/13
Task: List-to-table (source dataset: TEGRA)

You are given a table below, where each row corresponds to a record, with multiple columns/attributes. However, the column delimiters separating cell values belonging to different columns within the same row, are missing. 

Your task is to inspect the data below, identify column separators, and mark them clearly using "||" in each row. Please ensure that after your column separators "||" are inserted, each row should have the same number of columns. Also make sure that the output table preserves the order of the input rows, with each output row separated by a new line just like the input rows. 

No explanation and return the processed table string in JSON format: {"table": "<processed table string>"}

Input:
Justin Upton - RF 2 5 4 1 1 3 0 1 1.030 1.03 0.21
Freddie Freeman - 1B 3 5 2 0 0 1 0 2 .355 1.72 -0.07
Evan Gattis - LF 4 5 1 0 0 0 1 0 .316 1.87 -0.01
B.J. Upton - PR 4 0 0 0 0 0 0 0 .000  
Chris Johnson - 3B 5 5 0 0 0 0 1 1 .138 2.38 -0.26
Gerald Laird - C 6 4 2 0 0 0 0 1 .540 1.09 0.04
Andrelton Simmons - SS 7 4 0 0 0 0 0 1 .000 1.36 -0.17
Elliot Johnson - 2B 8 4 1 0 1 0 1 1 .394 0.86 -0.01
Jose Constanza - PH 9 1 1 0 1 0 0 0 .888 0.41 0.02
Reed Johnson - PH 9 1 0 0 0 0 0 0 .000 1.85 -0.08
Mike Minor - P 9 2 0 0 0 0 0 1 .000 1.23 -0.06



TEGRA_table_txt_file: table_2664.txt
TEGRA_TABLE_TEXT: Justin Upton - RF 2 5 4 1 1 3 0 1 1.030 1.03 0.21
Freddie Freeman - 1B 3 5 2 0 0 1 0 2 .355 1.72 -0.07
Evan Gattis - LF 4 5 1 0 0 0 1 0 .316 1.87 -0.01
B.J. Upton - PR 4 0 0 0 0 0 0 0 .000  
Chris Johnson - 3B 5 5 0 0 0 0 1 1 .138 2.38 -0.26
Gerald Laird - C 6 4 2 0 0 0 0 1 .540 1.09 0.04
Andrelton Simmons - SS 7 4 0 0 0 0 0 1 .000 1.36 -0.17
Elliot Johnson - 2B 8 4 1 0 1 0 1 1 .394 0.86 -0.01
Jose Constanza - PH 9 1 1 0 1 0 0 0 .888 0.41 0.02
Reed Johnson - PH 9 1 0 0 0 0 0 0 .000 1.85 -0.08
Mike Minor - P 9 2 0 0 0 0 0 1 .000 1.23 -0.06
label: Justin Upton - RF||2||5||4||1||1||3||0||1||1.030||1.03||0.21
Freddie Freeman - 1B||3||5||2||0||0||1||0||2||.355||1.72||-0.07
Evan Gattis - LF||4||5||1||0||0||0||1||0||.316||1.87||-0.01
B.J. Upton - PR||4||0||0||0||0||0||0||0||.000||||
Chris Johnson - 3B||5||5||0||0||0||0||1||1||.138||2.38||-0.26
Gerald Laird - C||6||4||2||0||0||0||0||1||.540||1.09||0.04
Andrelton Simmons - SS||7||4||0||0||0||0||0||1||.000||1.36||-0.17
Elliot Johnson - 2B||8||4||1||0||1||0||1||1||.394||0.86||-0.01
Jose Constanza - PH||9||1||1||0||1||0||0||0||.888||0.41||0.02
Reed Johnson - PH||9||1||0||0||0||0||0||0||.000||1.85||-0.08
Mike Minor - P||9||2||0||0||0||0||0||1||.000||1.23||-0.06