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:
1001 - 1200m 275 95 44 151 3 4 13,197
1201 - 1400m 199 55 36 79 1 1 8,753
1401 - 1600m 98 24 20 42 2 (2) 2 (2) 13,661
1601 - 1800m 47 7 6 12 1 1 6,120
1801 - 2000m 24 4 4 4 1 (1) 1 (1) 7,200
2001 - 2200m 24 4 3 5 0 0 5,579
2201 - 2400m 6 0 0 0 0 0 713



TEGRA_table_txt_file: table_6401.txt
TEGRA_TABLE_TEXT: 1001 - 1200m 275 95 44 151 3 4 13,197
1201 - 1400m 199 55 36 79 1 1 8,753
1401 - 1600m 98 24 20 42 2 (2) 2 (2) 13,661
1601 - 1800m 47 7 6 12 1 1 6,120
1801 - 2000m 24 4 4 4 1 (1) 1 (1) 7,200
2001 - 2200m 24 4 3 5 0 0 5,579
2201 - 2400m 6 0 0 0 0 0 713
label: 1001 - 1200m||275||95||44||151||3||4||13,197
1201 - 1400m||199||55||36||79||1||1||8,753
1401 - 1600m||98||24||20||42||2 (2)||2 (2)||13,661
1601 - 1800m||47||7||6||12||1||1||6,120
1801 - 2000m||24||4||4||4||1 (1)||1 (1)||7,200
2001 - 2200m||24||4||3||5||0||0||5,579
2201 - 2400m||6||0||0||0||0||0||713
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:
November 30-December 1 Powell, WY Invitational 1:00 p.m.
December 6 C/A @ Whitehall (Quad) 6:00 p.m.
December 7-8 C/A @ Whitehall (Duals) 1:00 p.m.
December 11 Absarokee Mixer @ AHS 6:00 p.m.
December 14 C/A @ Shepherd 2:00 p.m.
December 15 C/A @ Huntley (Duals) 9:00 a.m.
December 18 C/A @ Huntley 6:00 p.m.
January 5 C/A Invitational 9:00 a.m.
January 8 C/A @ Laurel 6:00 p.m.
January 11-12 C/A @ Choteau Classic 1:00 p.m.
January 15 C/A @ Huntley (Dual) 6:00 p.m.
January 18-19 C/A @ Thermopolis Invitational 1:00 p.m.
January 25 Billings Central 5:00 p.m.
January 26 Hardin Invitational 10:00 a.m.
February 2 Divisional @ Fairfield 10:00 a.m.



TEGRA_table_txt_file: table_1347.txt
TEGRA_TABLE_TEXT: November 30-December 1 Powell, WY Invitational 1:00 p.m.
December 6 C/A @ Whitehall (Quad) 6:00 p.m.
December 7-8 C/A @ Whitehall (Duals) 1:00 p.m.
December 11 Absarokee Mixer @ AHS 6:00 p.m.
December 14 C/A @ Shepherd 2:00 p.m.
December 15 C/A @ Huntley (Duals) 9:00 a.m.
December 18 C/A @ Huntley 6:00 p.m.
January 5 C/A Invitational 9:00 a.m.
January 8 C/A @ Laurel 6:00 p.m.
January 11-12 C/A @ Choteau Classic 1:00 p.m.
January 15 C/A @ Huntley (Dual) 6:00 p.m.
January 18-19 C/A @ Thermopolis Invitational 1:00 p.m.
January 25 Billings Central 5:00 p.m.
January 26 Hardin Invitational 10:00 a.m.
February 2 Divisional @ Fairfield 10:00 a.m.
label: November 30-December 1||Powell, WY Invitational||1:00 p.m.
December 6||C/A @ Whitehall (Quad)||6:00 p.m.
December 7-8||C/A @ Whitehall (Duals)||1:00 p.m.
December 11||Absarokee Mixer @ AHS||6:00 p.m.
December 14||C/A @ Shepherd||2:00 p.m.
December 15||C/A @ Huntley (Duals)||9:00 a.m.
December 18||C/A @ Huntley||6:00 p.m.
January 5||C/A Invitational||9:00 a.m.
January 8||C/A @ Laurel||6:00 p.m.
January 11-12||C/A @ Choteau Classic||1:00 p.m.
January 15||C/A @ Huntley (Dual)||6:00 p.m.
January 18-19||C/A @ Thermopolis Invitational||1:00 p.m.
January 25||Billings Central||5:00 p.m.
January 26||Hardin Invitational||10:00 a.m.
February 2||Divisional @ Fairfield||10:00 a.m.
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:
Personal Crime Risk 18 19
Murder Risk 15 24
Rape Risk 40 35
Robbery Risk 22 14
Assault Risk 16 21
Property Crime Risk 28 33
Burglary Risk 8 20
Larceny Risk 53 51



TEGRA_table_txt_file: table_2930.txt
TEGRA_TABLE_TEXT: Personal Crime Risk 18 19
Murder Risk 15 24
Rape Risk 40 35
Robbery Risk 22 14
Assault Risk 16 21
Property Crime Risk 28 33
Burglary Risk 8 20
Larceny Risk 53 51
label: Personal Crime Risk||18||19
Murder Risk||15||24
Rape Risk||40||35
Robbery Risk||22||14
Assault Risk||16||21
Property Crime Risk||28||33
Burglary Risk||8||20
Larceny Risk||53||51
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:
Mini VecLoader 80 Catalyst 80 1,972 16 4" 600 Diesel, Electric 6-8 150 8,900 Trailer
Mini VecLoader 100 Catalyst 99 1,337 28 4" 1,200 Diesel, Electric 4-6 115 8,900 Trailer
VecLoader 624 Catalyst 155 3,510 16 6" 600 Diesel, Electric 10-12 325 11,300 Trailer
VecLoader Titan 721 Catalyst 225 3,658 28 6" 1,200 Diesel, Electric 10-12 425 14,850 Trailer
VecLoader Titan 824 Catalyst 225 4,800 16 8" 600 Diesel, Electric 14-16 475 14,850 Trailer



TEGRA_table_txt_file: table_8857.txt
TEGRA_TABLE_TEXT: Mini VecLoader 80 Catalyst 80 1,972 16 4" 600 Diesel, Electric 6-8 150 8,900 Trailer
Mini VecLoader 100 Catalyst 99 1,337 28 4" 1,200 Diesel, Electric 4-6 115 8,900 Trailer
VecLoader 624 Catalyst 155 3,510 16 6" 600 Diesel, Electric 10-12 325 11,300 Trailer
VecLoader Titan 721 Catalyst 225 3,658 28 6" 1,200 Diesel, Electric 10-12 425 14,850 Trailer
VecLoader Titan 824 Catalyst 225 4,800 16 8" 600 Diesel, Electric 14-16 475 14,850 Trailer
label: Mini VecLoader 80 Catalyst||80||1,972||16||4"||600||Diesel, Electric||6-8||150||8,900||Trailer
Mini VecLoader 100 Catalyst||99||1,337||28||4"||1,200||Diesel, Electric||4-6||115||8,900||Trailer
VecLoader 624 Catalyst||155||3,510||16||6"||600||Diesel, Electric||10-12||325||11,300||Trailer
VecLoader Titan 721 Catalyst||225||3,658||28||6"||1,200||Diesel, Electric||10-12||425||14,850||Trailer
VecLoader Titan 824 Catalyst||225||4,800||16||8"||600||Diesel, Electric||14-16||475||14,850||Trailer
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:
Des Moines 1,270 $110,100 0.9
Sioux City 170 $116,080 0.6
Davenport 380 $109,450 0.5
Iowa City 130 $71,940 0.4
Waterloo 150 $70,560 0.4
Cedar Rapids 240 $78,830 0.4
Ames 60 $82,750 0.4



TEGRA_table_txt_file: table_47.txt
TEGRA_TABLE_TEXT: Des Moines 1,270 $110,100 0.9
Sioux City 170 $116,080 0.6
Davenport 380 $109,450 0.5
Iowa City 130 $71,940 0.4
Waterloo 150 $70,560 0.4
Cedar Rapids 240 $78,830 0.4
Ames 60 $82,750 0.4
label: Des Moines||1,270||$110,100||0.9
Sioux City||170||$116,080||0.6
Davenport||380||$109,450||0.5
Iowa City||130||$71,940||0.4
Waterloo||150||$70,560||0.4
Cedar Rapids||240||$78,830||0.4
Ames||60||$82,750||0.4
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:
Tampa Bay Rowdies 12 5 5 2 6 20
Fort Lauderdale Strikers 12 5 2 5 0 17
Carolina RailHawks 12 5 2 5 0 17
Atlanta Silverbacks 12 4 4 4 -3 16
Minnesota United FC 12 4 2 6 -2 14
FC Edmonton 12 2 6 4 -2 12



TEGRA_table_txt_file: table_398.txt
TEGRA_TABLE_TEXT: Tampa Bay Rowdies 12 5 5 2 6 20
Fort Lauderdale Strikers 12 5 2 5 0 17
Carolina RailHawks 12 5 2 5 0 17
Atlanta Silverbacks 12 4 4 4 -3 16
Minnesota United FC 12 4 2 6 -2 14
FC Edmonton 12 2 6 4 -2 12
label: Tampa Bay Rowdies||12||5||5||2||6||20
Fort Lauderdale Strikers||12||5||2||5||0||17
Carolina RailHawks||12||5||2||5||0||17
Atlanta Silverbacks||12||4||4||4||-3||16
Minnesota United FC||12||4||2||6||-2||14
FC Edmonton||12||2||6||4||-2||12
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:
TOUR DE POITRINE (1) TOUR DE TAILLE (2) TOUR DE BASSIN (3) NORM. US NUM
74/78 53/57 80/84 32 XS 0
78/82 58/62 84/88 34 S 0
82/86 62/66 88/92 36 S 1
86/90 66/70 92/96 38 M 1
90/94 70/74 96/100 40 M 2
94/98 74/78 100/104 42 L 2
98/102 78/82 104/108 44 L 3
102/106 82/86 108/112 46 XL 3
106/110 86/90 112/116 48 XL 4
110/116 90/98 116/122 50 XXL 4
116/122 98/106 122/128 52 XXL 5
122/128 106/114 128/134 54 XXXL 5
128/134 114/122 134/140 56 XXXL 6
134/138 122/130 140/146 58 4XL 6



TEGRA_table_txt_file: table_5982.txt
TEGRA_TABLE_TEXT: TOUR DE POITRINE (1) TOUR DE TAILLE (2) TOUR DE BASSIN (3) NORM. US NUM
74/78 53/57 80/84 32 XS 0
78/82 58/62 84/88 34 S 0
82/86 62/66 88/92 36 S 1
86/90 66/70 92/96 38 M 1
90/94 70/74 96/100 40 M 2
94/98 74/78 100/104 42 L 2
98/102 78/82 104/108 44 L 3
102/106 82/86 108/112 46 XL 3
106/110 86/90 112/116 48 XL 4
110/116 90/98 116/122 50 XXL 4
116/122 98/106 122/128 52 XXL 5
122/128 106/114 128/134 54 XXXL 5
128/134 114/122 134/140 56 XXXL 6
134/138 122/130 140/146 58 4XL 6
label: TOUR DE POITRINE (1)||TOUR DE TAILLE (2)||TOUR DE BASSIN (3)||NORM.||US||NUM
74/78||53/57||80/84||32||XS||0
78/82||58/62||84/88||34||S||0
82/86||62/66||88/92||36||S||1
86/90||66/70||92/96||38||M||1
90/94||70/74||96/100||40||M||2
94/98||74/78||100/104||42||L||2
98/102||78/82||104/108||44||L||3
102/106||82/86||108/112||46||XL||3
106/110||86/90||112/116||48||XL||4
110/116||90/98||116/122||50||XXL||4
116/122||98/106||122/128||52||XXL||5
122/128||106/114||128/134||54||XXXL||5
128/134||114/122||134/140||56||XXXL||6
134/138||122/130||140/146||58||4XL||6
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 BOSTON COLLEGE EAGLES 8 1 0 .889 9 172 62
3 NOTRE DAME FIGHTING IRISH 7 2 0 .778 9 251 97
4 CORNELL BIG RED 6 2 1 .722 9 136 62
5 DUKE BLUE DEVILS 6 3 0 .667 9 185 100
6 MIAMI HURRICANES 4 4 1 .500 9 112 120
7 FLORIDA ST. SEMINOLES 4 5 0 .444 9 75 128
8 PITTSBURGH PANTHERS 3 6 0 .333 9 169 166
9 HARVARD CRIMSON 2 7 0 .222 9 62 242
10 VIRGINIA CAVALIERS 0 9 0 .000 9 32 209



TEGRA_table_txt_file: table_8913.txt
TEGRA_TABLE_TEXT: 2 BOSTON COLLEGE EAGLES 8 1 0 .889 9 172 62
3 NOTRE DAME FIGHTING IRISH 7 2 0 .778 9 251 97
4 CORNELL BIG RED 6 2 1 .722 9 136 62
5 DUKE BLUE DEVILS 6 3 0 .667 9 185 100
6 MIAMI HURRICANES 4 4 1 .500 9 112 120
7 FLORIDA ST. SEMINOLES 4 5 0 .444 9 75 128
8 PITTSBURGH PANTHERS 3 6 0 .333 9 169 166
9 HARVARD CRIMSON 2 7 0 .222 9 62 242
10 VIRGINIA CAVALIERS 0 9 0 .000 9 32 209
label: 2||BOSTON COLLEGE EAGLES||8||1||0||.889||9||172||62
3||NOTRE DAME FIGHTING IRISH||7||2||0||.778||9||251||97
4||CORNELL BIG RED||6||2||1||.722||9||136||62
5||DUKE BLUE DEVILS||6||3||0||.667||9||185||100
6||MIAMI HURRICANES||4||4||1||.500||9||112||120
7||FLORIDA ST. SEMINOLES||4||5||0||.444||9||75||128
8||PITTSBURGH PANTHERS||3||6||0||.333||9||169||166
9||HARVARD CRIMSON||2||7||0||.222||9||62||242
10||VIRGINIA CAVALIERS||0||9||0||.000||9||32||209
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:
udp://open.demonii.com:1337/announce outdated 18 Sep 2013 - - -
udp://tracker.publicbt.com:80/announce outdated 18 Sep 2013 - - -
udp://tracker.istole.it:80/announce outdated 18 Sep 2013 - - -
udp://fr33domtracker.h33t.com:3310/announce deleted 18 Sep 2013 - - -
udp://10.rarbg.me:80/announce pending 18 Sep 2013 0 0 0
udp://coppersurfer.tk:6969/announce pending 18 Sep 2013 1 0 0
http://tracker1.wasabii.com.tw:6969/announce pending 18 Sep 2013 1 0 0
udp://9.rarbg.me:2710/announce pending 18 Sep 2013 1 0 0



TEGRA_table_txt_file: table_5458.txt
TEGRA_TABLE_TEXT: udp://open.demonii.com:1337/announce outdated 18 Sep 2013 - - -
udp://tracker.publicbt.com:80/announce outdated 18 Sep 2013 - - -
udp://tracker.istole.it:80/announce outdated 18 Sep 2013 - - -
udp://fr33domtracker.h33t.com:3310/announce deleted 18 Sep 2013 - - -
udp://10.rarbg.me:80/announce pending 18 Sep 2013 0 0 0
udp://coppersurfer.tk:6969/announce pending 18 Sep 2013 1 0 0
http://tracker1.wasabii.com.tw:6969/announce pending 18 Sep 2013 1 0 0
udp://9.rarbg.me:2710/announce pending 18 Sep 2013 1 0 0
label: udp://open.demonii.com:1337/announce||outdated||18 Sep 2013||-||-||-
udp://tracker.publicbt.com:80/announce||outdated||18 Sep 2013||-||-||-
udp://tracker.istole.it:80/announce||outdated||18 Sep 2013||-||-||-
udp://fr33domtracker.h33t.com:3310/announce||deleted||18 Sep 2013||-||-||-
udp://10.rarbg.me:80/announce||pending||18 Sep 2013||0||0||0
udp://coppersurfer.tk:6969/announce||pending||18 Sep 2013||1||0||0
http://tracker1.wasabii.com.tw:6969/announce||pending||18 Sep 2013||1||0||0
udp://9.rarbg.me:2710/announce||pending||18 Sep 2013||1||0||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:
2001 Alex Escobar, of Out of baseball
2002 Aaron Heilman, rhp Cubs
2003 Jose Reyes, ss Mets
2004 Kazuo Matsui, ss Astros
2005 Lastings Milledge, of Pirates
2006 Lastings Milledge, of Pirates
2007 Mike Pelfrey, rhp Mets
2008 Fernando Martinez, of Mets



TEGRA_table_txt_file: table_5871.txt
TEGRA_TABLE_TEXT: 2001 Alex Escobar, of Out of baseball
2002 Aaron Heilman, rhp Cubs
2003 Jose Reyes, ss Mets
2004 Kazuo Matsui, ss Astros
2005 Lastings Milledge, of Pirates
2006 Lastings Milledge, of Pirates
2007 Mike Pelfrey, rhp Mets
2008 Fernando Martinez, of Mets
label: 2001||Alex Escobar, of||Out of baseball
2002||Aaron Heilman, rhp||Cubs
2003||Jose Reyes, ss||Mets
2004||Kazuo Matsui, ss||Astros
2005||Lastings Milledge, of||Pirates
2006||Lastings Milledge, of||Pirates
2007||Mike Pelfrey, rhp||Mets
2008||Fernando Martinez, of||Mets
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 India 12990 15.3 % 25,082 1,831
3 Nigeria 2779 5.3 % 824 634
4 Canada 6976 5.3 % 4,756 634
5 United kingdom 25351 3.0 % 1,687 359
6 Pakistan 17260 2.2 % 448 263
7 South africa 9995 2.0 % 503 239
8 Australia 20630 1.4 % 318 168
9 Philippines 11624 1.3 % 156 156



TEGRA_table_txt_file: table_9189.txt
TEGRA_TABLE_TEXT: 2 India 12990 15.3 % 25,082 1,831
3 Nigeria 2779 5.3 % 824 634
4 Canada 6976 5.3 % 4,756 634
5 United kingdom 25351 3.0 % 1,687 359
6 Pakistan 17260 2.2 % 448 263
7 South africa 9995 2.0 % 503 239
8 Australia 20630 1.4 % 318 168
9 Philippines 11624 1.3 % 156 156
label: 2||India||12990||15.3 %||25,082||1,831
3||Nigeria||2779||5.3 %||824||634
4||Canada||6976||5.3 %||4,756||634
5||United kingdom||25351||3.0 %||1,687||359
6||Pakistan||17260||2.2 %||448||263
7||South africa||9995||2.0 %||503||239
8||Australia||20630||1.4 %||318||168
9||Philippines||11624||1.3 %||156||156
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:
Forum topic Passive Income(USA Commercial Property) Fund 0 comments Jun 08, 2012 10:40:27
Forum topic Due Dilidence in contracts 0 comments Nov 17, 2011 02:40:56
Forum topic Loan structure 7 comments Nov 04, 2011 03:07:44
Forum topic Landlord Insurance 11 comments Apr 07, 2011 17:48:04
Forum topic Changing PPOR to IP 6 comments Oct 05, 2010 22:36:29



TEGRA_table_txt_file: table_5364.txt
TEGRA_TABLE_TEXT: Forum topic Passive Income(USA Commercial Property) Fund 0 comments Jun 08, 2012 10:40:27
Forum topic Due Dilidence in contracts 0 comments Nov 17, 2011 02:40:56
Forum topic Loan structure 7 comments Nov 04, 2011 03:07:44
Forum topic Landlord Insurance 11 comments Apr 07, 2011 17:48:04
Forum topic Changing PPOR to IP 6 comments Oct 05, 2010 22:36:29
label: Forum topic||Passive Income(USA Commercial Property) Fund||0 comments||Jun 08, 2012 10:40:27
Forum topic||Due Dilidence in contracts||0 comments||Nov 17, 2011 02:40:56
Forum topic||Loan structure||7 comments||Nov 04, 2011 03:07:44
Forum topic||Landlord Insurance||11 comments||Apr 07, 2011 17:48:04
Forum topic||Changing PPOR to IP||6 comments||Oct 05, 2010 22:36:29
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:
 Valmistus Kuljetus Kuljetus
Mäntytukki 5,21 2,15 3,22
Mäntykuitu 12,05 2,22 3,33
Kuusitukki 6,71 2,17 3,26
Kuusikuitu 12,60 2,36 3,53
Koivutukki 4,96 2,46 3,70
Koivukuitu 11.14 2,59 3,89
Energiapuu (kokopuu) 7,44 4,05 6,08
Halot ja klapit 25,26 2,59 3,89
Haketus 4,09  
Hake  2,59 3,89



TEGRA_table_txt_file: table_3631.txt
TEGRA_TABLE_TEXT:  Valmistus Kuljetus Kuljetus
Mäntytukki 5,21 2,15 3,22
Mäntykuitu 12,05 2,22 3,33
Kuusitukki 6,71 2,17 3,26
Kuusikuitu 12,60 2,36 3,53
Koivutukki 4,96 2,46 3,70
Koivukuitu 11.14 2,59 3,89
Energiapuu (kokopuu) 7,44 4,05 6,08
Halot ja klapit 25,26 2,59 3,89
Haketus 4,09  
Hake  2,59 3,89
label: ||Valmistus||Kuljetus||Kuljetus
Mäntytukki||5,21||2,15||3,22
Mäntykuitu||12,05||2,22||3,33
Kuusitukki||6,71||2,17||3,26
Kuusikuitu||12,60||2,36||3,53
Koivutukki||4,96||2,46||3,70
Koivukuitu||11.14||2,59||3,89
Energiapuu (kokopuu)||7,44||4,05||6,08
Halot ja klapit||25,26||2,59||3,89
Haketus||4,09||||
Hake||||2,59||3,89
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:
2005 14 7 5 2 28 16 26 +12 Semifinales
2006 14 7 4 3 20 15 25 +5 Semifinales
2008 6 3 0 3 8 5 9 +3 1ª Ronda
2009 6 2 3 1 9 6 9 +3 Octavos de final (w/o)
2010 8 3 1 4 12 10 10 +2 Subcampeón
2012 3 1 1 4 2 12 4 -10 1ª Ronda



TEGRA_table_txt_file: table_2006.txt
TEGRA_TABLE_TEXT: 2005 14 7 5 2 28 16 26 +12 Semifinales
2006 14 7 4 3 20 15 25 +5 Semifinales
2008 6 3 0 3 8 5 9 +3 1ª Ronda
2009 6 2 3 1 9 6 9 +3 Octavos de final (w/o)
2010 8 3 1 4 12 10 10 +2 Subcampeón
2012 3 1 1 4 2 12 4 -10 1ª Ronda
label: 2005||14||7||5||2||28||16||26||+12||Semifinales
2006||14||7||4||3||20||15||25||+5||Semifinales
2008||6||3||0||3||8||5||9||+3||1ª Ronda
2009||6||2||3||1||9||6||9||+3||Octavos de final (w/o)
2010||8||3||1||4||12||10||10||+2||Subcampeón
2012||3||1||1||4||2||12||4||-10||1ª Ronda
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:
Pembroke NC - 1 53.5737 73 31.7 miles
Laurinburg NC - 1 18.8047 40 37.9 miles
Cary NC 145,939 1 22.8054 14 49.4 miles
Raleigh NC 421,938 10 29.4746 493 53.6 miles
Chapel Hill NC 53,800 1 88.0971 148 60.0 miles
Durham NC 235,337 9 27.0185 371 62.9 miles
Wilson NC 49,786 3 25.177 101 71.7 miles
Burlington NC 53,389 3 40.9051 223 76.4 miles
Wilmington NC 102,120 12 24.5965 353 81.9 miles
Hartsville SC - 2 23.3042 83 82.3 miles
Misenheimer NC - 1 21.9215 70 83.5 miles
Rocky Mount NC 57,428 2 10.9274 84 86.9 miles
Greensboro NC 259,523 7 44.9987 387 87.3 miles
High Point NC 105,064 3 31.8326 88 88.3 miles
Greenville NC 85,963 10 31.6955 630 93.8 miles
Myrtle Beach SC - 3 18.832 7 95.5 miles
Tarboro NC - 1 20.0774 40 95.8 miles



TEGRA_table_txt_file: table_3617.txt
TEGRA_TABLE_TEXT: Pembroke NC - 1 53.5737 73 31.7 miles
Laurinburg NC - 1 18.8047 40 37.9 miles
Cary NC 145,939 1 22.8054 14 49.4 miles
Raleigh NC 421,938 10 29.4746 493 53.6 miles
Chapel Hill NC 53,800 1 88.0971 148 60.0 miles
Durham NC 235,337 9 27.0185 371 62.9 miles
Wilson NC 49,786 3 25.177 101 71.7 miles
Burlington NC 53,389 3 40.9051 223 76.4 miles
Wilmington NC 102,120 12 24.5965 353 81.9 miles
Hartsville SC - 2 23.3042 83 82.3 miles
Misenheimer NC - 1 21.9215 70 83.5 miles
Rocky Mount NC 57,428 2 10.9274 84 86.9 miles
Greensboro NC 259,523 7 44.9987 387 87.3 miles
High Point NC 105,064 3 31.8326 88 88.3 miles
Greenville NC 85,963 10 31.6955 630 93.8 miles
Myrtle Beach SC - 3 18.832 7 95.5 miles
Tarboro NC - 1 20.0774 40 95.8 miles
label: Pembroke||NC||-||1||53.5737||73||31.7 miles
Laurinburg||NC||-||1||18.8047||40||37.9 miles
Cary||NC||145,939||1||22.8054||14||49.4 miles
Raleigh||NC||421,938||10||29.4746||493||53.6 miles
Chapel Hill||NC||53,800||1||88.0971||148||60.0 miles
Durham||NC||235,337||9||27.0185||371||62.9 miles
Wilson||NC||49,786||3||25.177||101||71.7 miles
Burlington||NC||53,389||3||40.9051||223||76.4 miles
Wilmington||NC||102,120||12||24.5965||353||81.9 miles
Hartsville||SC||-||2||23.3042||83||82.3 miles
Misenheimer||NC||-||1||21.9215||70||83.5 miles
Rocky Mount||NC||57,428||2||10.9274||84||86.9 miles
Greensboro||NC||259,523||7||44.9987||387||87.3 miles
High Point||NC||105,064||3||31.8326||88||88.3 miles
Greenville||NC||85,963||10||31.6955||630||93.8 miles
Myrtle Beach||SC||-||3||18.832||7||95.5 miles
Tarboro||NC||-||1||20.0774||40||95.8 miles
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:
Eileen Taylor Regional Supervisor (631) 952-3352
Sheryl Aiken-Sewer Regional Associate (631) 952-3352
Kerri Branca Regional Associate (631) 952-3352
Kevin Clark Regional Associate (631) 952-3352
Valerie Kelly Regional Associate (631) 952-3352
Kathleen Kenney Regional Associate (631) 952-3352
Shushma Mukherjee Regional Associate (631) 952-3352
Julia Nagle Regional Associate (631) 952-3352
Karen Nelsen Regional Associate (631) 952-3352
Grace Pecora Regional Associate (631) 952-3352



TEGRA_table_txt_file: table_4131.txt
TEGRA_TABLE_TEXT: Eileen Taylor Regional Supervisor (631) 952-3352
Sheryl Aiken-Sewer Regional Associate (631) 952-3352
Kerri Branca Regional Associate (631) 952-3352
Kevin Clark Regional Associate (631) 952-3352
Valerie Kelly Regional Associate (631) 952-3352
Kathleen Kenney Regional Associate (631) 952-3352
Shushma Mukherjee Regional Associate (631) 952-3352
Julia Nagle Regional Associate (631) 952-3352
Karen Nelsen Regional Associate (631) 952-3352
Grace Pecora Regional Associate (631) 952-3352
label: Eileen Taylor||Regional Supervisor||(631) 952-3352
Sheryl Aiken-Sewer||Regional Associate||(631) 952-3352
Kerri Branca||Regional Associate||(631) 952-3352
Kevin Clark||Regional Associate||(631) 952-3352
Valerie Kelly||Regional Associate||(631) 952-3352
Kathleen Kenney||Regional Associate||(631) 952-3352
Shushma Mukherjee||Regional Associate||(631) 952-3352
Julia Nagle||Regional Associate||(631) 952-3352
Karen Nelsen||Regional Associate||(631) 952-3352
Grace Pecora||Regional Associate||(631) 952-3352
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:
14 BABCOCK, Susan 57 9 16 153 .895 0.16
20 HARAF, Becca 56 8 13 199 .935 0.14
13 CRAYCRAFT, Jade 59 8 7 187 .963 0.14
8 SHIPE, Gabrielle 59 6 10 228 .956 0.10
1 ROLLINS, Kendle 58 4 4 99 .960 0.07
22 JEFFCOAT, Haley 48 4 12 50 .760 0.08
2 STAPLETON, Caila 9 2 1 18 .944 0.22
15 JOHNSON, Monica 34 1 3 15 .800 0.03
4 REYNOLDS, Allie 51 1 6 95 .937 0.02
7 RACZ, Melissa 26 0 5 25 .800 0.00
 LIBERTY............. 60 54 96 1234 .922 0.90



TEGRA_table_txt_file: table_1713.txt
TEGRA_TABLE_TEXT: 14 BABCOCK, Susan 57 9 16 153 .895 0.16
20 HARAF, Becca 56 8 13 199 .935 0.14
13 CRAYCRAFT, Jade 59 8 7 187 .963 0.14
8 SHIPE, Gabrielle 59 6 10 228 .956 0.10
1 ROLLINS, Kendle 58 4 4 99 .960 0.07
22 JEFFCOAT, Haley 48 4 12 50 .760 0.08
2 STAPLETON, Caila 9 2 1 18 .944 0.22
15 JOHNSON, Monica 34 1 3 15 .800 0.03
4 REYNOLDS, Allie 51 1 6 95 .937 0.02
7 RACZ, Melissa 26 0 5 25 .800 0.00
 LIBERTY............. 60 54 96 1234 .922 0.90
label: 14||BABCOCK, Susan||57||9||16||153||.895||0.16
20||HARAF, Becca||56||8||13||199||.935||0.14
13||CRAYCRAFT, Jade||59||8||7||187||.963||0.14
8||SHIPE, Gabrielle||59||6||10||228||.956||0.10
1||ROLLINS, Kendle||58||4||4||99||.960||0.07
22||JEFFCOAT, Haley||48||4||12||50||.760||0.08
2||STAPLETON, Caila||9||2||1||18||.944||0.22
15||JOHNSON, Monica||34||1||3||15||.800||0.03
4||REYNOLDS, Allie||51||1||6||95||.937||0.02
7||RACZ, Melissa||26||0||5||25||.800||0.00
||LIBERTY.............||60||54||96||1234||.922||0.90
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:
Oct 12 LA MEYER 1,281 1,580,000 1,233
Aug 09 LA MEYER 1,593 1,530,000 960
Jun 08 LA MEYER 1,593 1,460,000 917
Apr 08 LA MEYER 1,830 1,720,200 940
Dec 07 LA MEYER 1,421 1,450,000 1,020
Oct 07 LA MEYER 1,163 1,268,000 1,090
Jul 07 LA MEYER 1,421 1,300,000 915
Jun 07 LA MEYER 1,281 1,350,000 1,054
Feb 02 LA MEYER 2,045 1,160,000 567
Oct 00 LA MEYER 1,582 1,285,000 812
Feb 00 LA MEYER 1,421 1,060,000 746
Oct 99 LA MEYER 2,034 1,398,000 687
Jul 99 LA MEYER 1,873 1,250,000 667
Jan 95 LA MEYER 1,572 1,280,000 814
Nov 94 LA MEYER 1,873 814,755 435
Sep 94 LA MEYER 1,582 840,496 531
Sep 94 LA MEYER 1,873 877,000 468
Jul 94 LA MEYER 2,045 993,870 486



TEGRA_table_txt_file: table_2415.txt
TEGRA_TABLE_TEXT: Oct 12 LA MEYER 1,281 1,580,000 1,233
Aug 09 LA MEYER 1,593 1,530,000 960
Jun 08 LA MEYER 1,593 1,460,000 917
Apr 08 LA MEYER 1,830 1,720,200 940
Dec 07 LA MEYER 1,421 1,450,000 1,020
Oct 07 LA MEYER 1,163 1,268,000 1,090
Jul 07 LA MEYER 1,421 1,300,000 915
Jun 07 LA MEYER 1,281 1,350,000 1,054
Feb 02 LA MEYER 2,045 1,160,000 567
Oct 00 LA MEYER 1,582 1,285,000 812
Feb 00 LA MEYER 1,421 1,060,000 746
Oct 99 LA MEYER 2,034 1,398,000 687
Jul 99 LA MEYER 1,873 1,250,000 667
Jan 95 LA MEYER 1,572 1,280,000 814
Nov 94 LA MEYER 1,873 814,755 435
Sep 94 LA MEYER 1,582 840,496 531
Sep 94 LA MEYER 1,873 877,000 468
Jul 94 LA MEYER 2,045 993,870 486
label: Oct 12||LA MEYER||1,281||1,580,000||1,233
Aug 09||LA MEYER||1,593||1,530,000||960
Jun 08||LA MEYER||1,593||1,460,000||917
Apr 08||LA MEYER||1,830||1,720,200||940
Dec 07||LA MEYER||1,421||1,450,000||1,020
Oct 07||LA MEYER||1,163||1,268,000||1,090
Jul 07||LA MEYER||1,421||1,300,000||915
Jun 07||LA MEYER||1,281||1,350,000||1,054
Feb 02||LA MEYER||2,045||1,160,000||567
Oct 00||LA MEYER||1,582||1,285,000||812
Feb 00||LA MEYER||1,421||1,060,000||746
Oct 99||LA MEYER||2,034||1,398,000||687
Jul 99||LA MEYER||1,873||1,250,000||667
Jan 95||LA MEYER||1,572||1,280,000||814
Nov 94||LA MEYER||1,873||814,755||435
Sep 94||LA MEYER||1,582||840,496||531
Sep 94||LA MEYER||1,873||877,000||468
Jul 94||LA MEYER||2,045||993,870||486
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 Manchester United 38 28 5 5 56 89
3 Arsenal 38 21 7 10 25 70
4 Tottenham Hotspur 38 20 9 9 25 69
5 Newcastle United 38 19 8 11 5 65
6 Chelsea 38 18 10 10 19 64
7 Everton 38 15 11 12 10 56
8 Liverpool 38 14 10 14 7 52
9 Fulham 38 14 10 14 -3 52
10 West Bromwich Albion 38 13 8 17 -7 47
11 Swansea City 38 12 11 15 -7 47
12 Norwich City 38 12 11 15 -14 47
13 Sunderland 38 11 12 15 -1 45
14 Stoke City 38 11 12 15 -17 45
15 Wigan Athletic 38 11 10 17 -20 43
16 Aston Villa 38 7 17 14 -16 38
17 Queens Park Rangers 38 10 7 21 -23 37
18 Bolton Wanderers 38 10 6 22 -31 36
19 Blackburn Rovers 38 8 7 23 -30 31



TEGRA_table_txt_file: table_6557.txt
TEGRA_TABLE_TEXT: 2 Manchester United 38 28 5 5 56 89
3 Arsenal 38 21 7 10 25 70
4 Tottenham Hotspur 38 20 9 9 25 69
5 Newcastle United 38 19 8 11 5 65
6 Chelsea 38 18 10 10 19 64
7 Everton 38 15 11 12 10 56
8 Liverpool 38 14 10 14 7 52
9 Fulham 38 14 10 14 -3 52
10 West Bromwich Albion 38 13 8 17 -7 47
11 Swansea City 38 12 11 15 -7 47
12 Norwich City 38 12 11 15 -14 47
13 Sunderland 38 11 12 15 -1 45
14 Stoke City 38 11 12 15 -17 45
15 Wigan Athletic 38 11 10 17 -20 43
16 Aston Villa 38 7 17 14 -16 38
17 Queens Park Rangers 38 10 7 21 -23 37
18 Bolton Wanderers 38 10 6 22 -31 36
19 Blackburn Rovers 38 8 7 23 -30 31
label: 2||Manchester United||38||28||5||5||56||89
3||Arsenal||38||21||7||10||25||70
4||Tottenham Hotspur||38||20||9||9||25||69
5||Newcastle United||38||19||8||11||5||65
6||Chelsea||38||18||10||10||19||64
7||Everton||38||15||11||12||10||56
8||Liverpool||38||14||10||14||7||52
9||Fulham||38||14||10||14||-3||52
10||West Bromwich Albion||38||13||8||17||-7||47
11||Swansea City||38||12||11||15||-7||47
12||Norwich City||38||12||11||15||-14||47
13||Sunderland||38||11||12||15||-1||45
14||Stoke City||38||11||12||15||-17||45
15||Wigan Athletic||38||11||10||17||-20||43
16||Aston Villa||38||7||17||14||-16||38
17||Queens Park Rangers||38||10||7||21||-23||37
18||Bolton Wanderers||38||10||6||22||-31||36
19||Blackburn Rovers||38||8||7||23||-30||31
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:
Associate professor academic year 41 $62,911 23 $60,589
Assistant professor academic year 35 $54,485 22 $53,238
Instructor academic year 7 $39,995 8 $44,407
Lecturer academic year 7 $33,369 19 $32,274
No academic rank academic year 2 * 8 $48,488



TEGRA_table_txt_file: table_321.txt
TEGRA_TABLE_TEXT: Associate professor academic year 41 $62,911 23 $60,589
Assistant professor academic year 35 $54,485 22 $53,238
Instructor academic year 7 $39,995 8 $44,407
Lecturer academic year 7 $33,369 19 $32,274
No academic rank academic year 2 * 8 $48,488
label: Associate professor||academic year||41||$62,911||23||$60,589
Assistant professor||academic year||35||$54,485||22||$53,238
Instructor||academic year||7||$39,995||8||$44,407
Lecturer||academic year||7||$33,369||19||$32,274
No academic rank||academic year||2||*||8||$48,488
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 Buentrato Maldonado 3:51 USD 0.99 View In iTunes
3 Días Maldonado 2:43 USD 0.99 View In iTunes
4 Dos O Tres Cosas Maldonado 4:12 USD 0.99 View In iTunes
5 El Amor En Do Maldonado 3:38 USD 0.99 View In iTunes
6 Amor Electricidad Maldonado 3:46 USD 0.99 View In iTunes
7 Flor Maldonado 3:04 USD 0.99 View In iTunes
8 Atajo Maldonado 3:36 USD 0.99 View In iTunes
9 Las Olas Maldonado 3:49 USD 0.99 View In iTunes
10 Desvío Maldonado 3:43 USD 0.99 View In iTunes
11 Extraña Forma De Gritar Maldonado 3:29 USD 0.99 View In iTunes
12 El Cuerpo Maldonado 2:53 USD 0.99 View In iTunes



TEGRA_table_txt_file: table_2125.txt
TEGRA_TABLE_TEXT: 2 Buentrato Maldonado 3:51 USD 0.99 View In iTunes
3 Días Maldonado 2:43 USD 0.99 View In iTunes
4 Dos O Tres Cosas Maldonado 4:12 USD 0.99 View In iTunes
5 El Amor En Do Maldonado 3:38 USD 0.99 View In iTunes
6 Amor Electricidad Maldonado 3:46 USD 0.99 View In iTunes
7 Flor Maldonado 3:04 USD 0.99 View In iTunes
8 Atajo Maldonado 3:36 USD 0.99 View In iTunes
9 Las Olas Maldonado 3:49 USD 0.99 View In iTunes
10 Desvío Maldonado 3:43 USD 0.99 View In iTunes
11 Extraña Forma De Gritar Maldonado 3:29 USD 0.99 View In iTunes
12 El Cuerpo Maldonado 2:53 USD 0.99 View In iTunes
label: 2||Buentrato||Maldonado||3:51||USD 0.99||View In iTunes
3||Días||Maldonado||2:43||USD 0.99||View In iTunes
4||Dos O Tres Cosas||Maldonado||4:12||USD 0.99||View In iTunes
5||El Amor En Do||Maldonado||3:38||USD 0.99||View In iTunes
6||Amor Electricidad||Maldonado||3:46||USD 0.99||View In iTunes
7||Flor||Maldonado||3:04||USD 0.99||View In iTunes
8||Atajo||Maldonado||3:36||USD 0.99||View In iTunes
9||Las Olas||Maldonado||3:49||USD 0.99||View In iTunes
10||Desvío||Maldonado||3:43||USD 0.99||View In iTunes
11||Extraña Forma De Gritar||Maldonado||3:29||USD 0.99||View In iTunes
12||El Cuerpo||Maldonado||2:53||USD 0.99||View In iTunes
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 Go Do Jónsi 4:39 $1.29 View In iTunes
3 Andvari Sigur Rós 6:40 $0.99 View In iTunes
4 Í Gær Sigur Rós 6:26 $0.99 View In iTunes
5 Dót Didda & Sigur Rós 5:46 $0.99 View In iTunes
6 All Alright Sigur Rós 6:21 $0.99 View In iTunes
7 Stokkseyri Jónsi & Alex 7:12 $0.99 View In iTunes
8 Track 3 Sigur Rós 6:33 $0.99 View In iTunes
9 Von Sigur Rós 9:15 $0.99 View In iTunes
10 Á Ferð Til Breiðafjarðar Steindór Andersen & Sigur Rós 5:38 $0.99 View In iTunes



TEGRA_table_txt_file: table_4451.txt
TEGRA_TABLE_TEXT: 2 Go Do Jónsi 4:39 $1.29 View In iTunes
3 Andvari Sigur Rós 6:40 $0.99 View In iTunes
4 Í Gær Sigur Rós 6:26 $0.99 View In iTunes
5 Dót Didda & Sigur Rós 5:46 $0.99 View In iTunes
6 All Alright Sigur Rós 6:21 $0.99 View In iTunes
7 Stokkseyri Jónsi & Alex 7:12 $0.99 View In iTunes
8 Track 3 Sigur Rós 6:33 $0.99 View In iTunes
9 Von Sigur Rós 9:15 $0.99 View In iTunes
10 Á Ferð Til Breiðafjarðar Steindór Andersen & Sigur Rós 5:38 $0.99 View In iTunes
label: 2||Go Do||Jónsi||4:39||$1.29||View In iTunes
3||Andvari||Sigur Rós||6:40||$0.99||View In iTunes
4||Í Gær||Sigur Rós||6:26||$0.99||View In iTunes
5||Dót||Didda & Sigur Rós||5:46||$0.99||View In iTunes
6||All Alright||Sigur Rós||6:21||$0.99||View In iTunes
7||Stokkseyri||Jónsi & Alex||7:12||$0.99||View In iTunes
8||Track 3||Sigur Rós||6:33||$0.99||View In iTunes
9||Von||Sigur Rós||9:15||$0.99||View In iTunes
10||Á Ferð Til Breiðafjarðar||Steindór Andersen & Sigur Rós||5:38||$0.99||View In iTunes
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 Chapecoense 20 9 6 2 1 20 8 +12
3 Metropolitano 17 9 5 2 2 20 10 +10
4 Joinville 17 9 5 1 3 19 12 +7
5 Figueirense 15 9 4 3 2 16 15 +1
6 Atlético de Ibirama 9 9 2 3 4 8 16 -8
7 Brusque 10 9 2 4 3 14 15 -1
8 Marcílio Dias 8 9 2 2 5 12 19 -7
9 Criciúma 7 9 2 1 6 21 24 -3
10 Atlético Tubarão 1 9 0 1 8 4 24 -20



TEGRA_table_txt_file: table_7149.txt
TEGRA_TABLE_TEXT: 2 Chapecoense 20 9 6 2 1 20 8 +12
3 Metropolitano 17 9 5 2 2 20 10 +10
4 Joinville 17 9 5 1 3 19 12 +7
5 Figueirense 15 9 4 3 2 16 15 +1
6 Atlético de Ibirama 9 9 2 3 4 8 16 -8
7 Brusque 10 9 2 4 3 14 15 -1
8 Marcílio Dias 8 9 2 2 5 12 19 -7
9 Criciúma 7 9 2 1 6 21 24 -3
10 Atlético Tubarão 1 9 0 1 8 4 24 -20
label: 2||Chapecoense||20||9||6||2||1||20||8||+12
3||Metropolitano||17||9||5||2||2||20||10||+10
4||Joinville||17||9||5||1||3||19||12||+7
5||Figueirense||15||9||4||3||2||16||15||+1
6||Atlético de Ibirama||9||9||2||3||4||8||16||-8
7||Brusque||10||9||2||4||3||14||15||-1
8||Marcílio Dias||8||9||2||2||5||12||19||-7
9||Criciúma||7||9||2||1||6||21||24||-3
10||Atlético Tubarão||1||9||0||1||8||4||24||-20