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:
udp://fr33domtracker.h33t.com:3310/announce) inactive 1 year ago 0 0
http://ipv4.tracker.harry.lu/announce) inactive 1 year ago 0 0
http://torrentx.org/announce.php?cnt=gms) inactive 1 year ago 0 0
udp://tracker.publicbt.com:80/announce) inactive 1 year ago 0 0
http://cpleft.com:2710/announce) inactive 1 year ago 0 0
http://tracker.ex.ua/announce) inactive 11 months ago 0 0
udp://tracker.1337x.org:80/announce) inactive 1 year ago 0 0
udp://tracker.openbittorrent.com:80/announce) inactive 1 year ago 0 0
http://www.h33t.com:3310/announce) inactive 1 year ago 0 0
http://exodus.desync.com/announce) inactive 1 year ago 0 0
http://fr33dom.h33t.com:3310/announce) inactive 8 months ago 0 0
http://torrent-downloads.to:5869/announce) inactive 1 year ago 0 0



TEGRA_table_txt_file: table_7792.txt
TEGRA_TABLE_TEXT: udp://fr33domtracker.h33t.com:3310/announce) inactive 1 year ago 0 0
http://ipv4.tracker.harry.lu/announce) inactive 1 year ago 0 0
http://torrentx.org/announce.php?cnt=gms) inactive 1 year ago 0 0
udp://tracker.publicbt.com:80/announce) inactive 1 year ago 0 0
http://cpleft.com:2710/announce) inactive 1 year ago 0 0
http://tracker.ex.ua/announce) inactive 11 months ago 0 0
udp://tracker.1337x.org:80/announce) inactive 1 year ago 0 0
udp://tracker.openbittorrent.com:80/announce) inactive 1 year ago 0 0
http://www.h33t.com:3310/announce) inactive 1 year ago 0 0
http://exodus.desync.com/announce) inactive 1 year ago 0 0
http://fr33dom.h33t.com:3310/announce) inactive 8 months ago 0 0
http://torrent-downloads.to:5869/announce) inactive 1 year ago 0 0
label: udp://fr33domtracker.h33t.com:3310/announce)||inactive||1 year ago||0||0
http://ipv4.tracker.harry.lu/announce)||inactive||1 year ago||0||0
http://torrentx.org/announce.php?cnt=gms)||inactive||1 year ago||0||0
udp://tracker.publicbt.com:80/announce)||inactive||1 year ago||0||0
http://cpleft.com:2710/announce)||inactive||1 year ago||0||0
http://tracker.ex.ua/announce)||inactive||11 months ago||0||0
udp://tracker.1337x.org:80/announce)||inactive||1 year ago||0||0
udp://tracker.openbittorrent.com:80/announce)||inactive||1 year ago||0||0
http://www.h33t.com:3310/announce)||inactive||1 year ago||0||0
http://exodus.desync.com/announce)||inactive||1 year ago||0||0
http://fr33dom.h33t.com:3310/announce)||inactive||8 months ago||0||0
http://torrent-downloads.to:5869/announce)||inactive||1 year ago||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:
2 Chicago Blackhawks 9 6 1 2 4 26 21 14
3 St. Louis Blues 7 5 1 1 4 27 19 11
4 Nashville Predators 10 5 4 1 5 19 24 11
5 Minnesota Wild 10 4 3 3 4 21 22 11
6 Winnipeg Jets 10 4 5 1 3 26 30 9



TEGRA_table_txt_file: table_7775.txt
TEGRA_TABLE_TEXT: 2 Chicago Blackhawks 9 6 1 2 4 26 21 14
3 St. Louis Blues 7 5 1 1 4 27 19 11
4 Nashville Predators 10 5 4 1 5 19 24 11
5 Minnesota Wild 10 4 3 3 4 21 22 11
6 Winnipeg Jets 10 4 5 1 3 26 30 9
label: 2||Chicago Blackhawks||9||6||1||2||4||26||21||14
3||St. Louis Blues||7||5||1||1||4||27||19||11
4||Nashville Predators||10||5||4||1||5||19||24||11
5||Minnesota Wild||10||4||3||3||4||21||22||11
6||Winnipeg Jets||10||4||5||1||3||26||30||9
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:
2º Buscando a Nemo 867 893 978 $
3º Up 731 342 744 $
4º Monsters University 730 800 000 $
5º Los Increíbles 623 722 164 $
6º Ratatouille 550 079 088 $
7º Cars 2 531 521 000 $
8º Brave 525 366 597 $
9º Monsters, Inc 521 311 860 $
10º WALL·E 485 015 179 $
11º Toy Story 2 474 171 003 $
12º Cars 461 983 149 $
13º Bichos una aventura en miniatura 363 398 565 $



TEGRA_table_txt_file: table_6213.txt
TEGRA_TABLE_TEXT: 2º Buscando a Nemo 867 893 978 $
3º Up 731 342 744 $
4º Monsters University 730 800 000 $
5º Los Increíbles 623 722 164 $
6º Ratatouille 550 079 088 $
7º Cars 2 531 521 000 $
8º Brave 525 366 597 $
9º Monsters, Inc 521 311 860 $
10º WALL·E 485 015 179 $
11º Toy Story 2 474 171 003 $
12º Cars 461 983 149 $
13º Bichos una aventura en miniatura 363 398 565 $
label: 2º||Buscando a Nemo||867 893 978 $
3º||Up||731 342 744 $
4º||Monsters University||730 800 000 $
5º||Los Increíbles||623 722 164 $
6º||Ratatouille||550 079 088 $
7º||Cars 2||531 521 000 $
8º||Brave||525 366 597 $
9º||Monsters, Inc||521 311 860 $
10º||WALL·E||485 015 179 $
11º||Toy Story 2||474 171 003 $
12º||Cars||461 983 149 $
13º||Bichos una aventura en miniatura||363 398 565 $
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:
11 Centerport Rd, Greenlawn NY 0.45 Single-Family Home $430,000 04/10/13 - - -
9 Northgate Dr, Greenlawn NY 0.57 Single-Family Home $483,500 05/24/13 - - -
16 Northgate Dr, Greenlawn NY 0.60 Single-Family Home $485,000 01/31/13 - - -
314 Greenlawn Rd, Greenlawn NY 0.65 Single-Family Home $590,000 06/27/13 - - -
23 Butterfield Dr, Greenlawn NY 0.77 Single-Family Home $410,000 03/26/13 - - -
14 Tennyson Pl, Greenlawn NY 0.78 Single-Family Home $455,000 03/09/13 - - -
11 Renwick Ave, Huntington NY 0.80 Single-Family Home $769,000 06/17/13 - - -
7 Merriwood Ct, Huntington NY 0.81 Single-Family Home $570,000 01/30/13 - - -



TEGRA_table_txt_file: table_7691.txt
TEGRA_TABLE_TEXT: 11 Centerport Rd, Greenlawn NY 0.45 Single-Family Home $430,000 04/10/13 - - -
9 Northgate Dr, Greenlawn NY 0.57 Single-Family Home $483,500 05/24/13 - - -
16 Northgate Dr, Greenlawn NY 0.60 Single-Family Home $485,000 01/31/13 - - -
314 Greenlawn Rd, Greenlawn NY 0.65 Single-Family Home $590,000 06/27/13 - - -
23 Butterfield Dr, Greenlawn NY 0.77 Single-Family Home $410,000 03/26/13 - - -
14 Tennyson Pl, Greenlawn NY 0.78 Single-Family Home $455,000 03/09/13 - - -
11 Renwick Ave, Huntington NY 0.80 Single-Family Home $769,000 06/17/13 - - -
7 Merriwood Ct, Huntington NY 0.81 Single-Family Home $570,000 01/30/13 - - -
label: 11 Centerport Rd, Greenlawn NY||0.45||Single-Family Home||$430,000||04/10/13||-||-||-
9 Northgate Dr, Greenlawn NY||0.57||Single-Family Home||$483,500||05/24/13||-||-||-
16 Northgate Dr, Greenlawn NY||0.60||Single-Family Home||$485,000||01/31/13||-||-||-
314 Greenlawn Rd, Greenlawn NY||0.65||Single-Family Home||$590,000||06/27/13||-||-||-
23 Butterfield Dr, Greenlawn NY||0.77||Single-Family Home||$410,000||03/26/13||-||-||-
14 Tennyson Pl, Greenlawn NY||0.78||Single-Family Home||$455,000||03/09/13||-||-||-
11 Renwick Ave, Huntington NY||0.80||Single-Family Home||$769,000||06/17/13||-||-||-
7 Merriwood Ct, Huntington NY||0.81||Single-Family Home||$570,000||01/30/13||-||-||-
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:
2 Gilberto Simoni (ITA) Diquigiovanni-Androni +1' 04"
3 Joaquim Rodríguez (ESP) Caisse d'Epargne +1' 22"
4 Riccardo Riccò (ITA) Saunier Duval-Scott +1' 30"
5 Alberto Contador (ESP) Astana s.t.
6 Antonio Colom (ESP) Astana s.t.
7 Fortunato Baliani (ITA) CSF Group-Navigare s.t.
8 Marzio Bruseghin (ITA) Lampre s.t.
9 Tadej Valjavec (SLO) Ag2r-La Mondiale s.t.



TEGRA_table_txt_file: table_4794.txt
TEGRA_TABLE_TEXT: 2 Gilberto Simoni (ITA) Diquigiovanni-Androni +1' 04"
3 Joaquim Rodríguez (ESP) Caisse d'Epargne +1' 22"
4 Riccardo Riccò (ITA) Saunier Duval-Scott +1' 30"
5 Alberto Contador (ESP) Astana s.t.
6 Antonio Colom (ESP) Astana s.t.
7 Fortunato Baliani (ITA) CSF Group-Navigare s.t.
8 Marzio Bruseghin (ITA) Lampre s.t.
9 Tadej Valjavec (SLO) Ag2r-La Mondiale s.t.
label: 2||Gilberto Simoni (ITA)||Diquigiovanni-Androni||+1' 04"
3||Joaquim Rodríguez (ESP)||Caisse d'Epargne||+1' 22"
4||Riccardo Riccò (ITA)||Saunier Duval-Scott||+1' 30"
5||Alberto Contador (ESP)||Astana||s.t.
6||Antonio Colom (ESP)||Astana||s.t.
7||Fortunato Baliani (ITA)||CSF Group-Navigare||s.t.
8||Marzio Bruseghin (ITA)||Lampre||s.t.
9||Tadej Valjavec (SLO)||Ag2r-La Mondiale||s.t.
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 Conroy, Craig Circle 3 0.67 0.64
3 Robin, Billy Cygnar 2 0.67 0.62
4 Puryear, Mike Protectorate 2 0.58 0.64
5 Braun, Jordan Cygnar 1 0.75 0.55
6 Hoffman, David Cygnar 1 0.63 0.58
7 Guan ,Tom Cryx 1 0.58 0.58
8 Kotovsky, Matt Circle 1 0.58 0.54
9 Hill, Colin Circle 0 1 0.60
10 Lee, Brandon Legion 0 0.75 0.67
11 Arkadios Circle 0 0.67 0.67
12 Lee, Matt Trollbloods 0 0.67 0.58
13 Garret, Jesse Protectorate 0 0.5 0.75
14 Nelson, Erik Cryx 0 0.5 0.63
15 Voth, John Retribution 0 0.5 0.58



TEGRA_table_txt_file: table_6344.txt
TEGRA_TABLE_TEXT: 2 Conroy, Craig Circle 3 0.67 0.64
3 Robin, Billy Cygnar 2 0.67 0.62
4 Puryear, Mike Protectorate 2 0.58 0.64
5 Braun, Jordan Cygnar 1 0.75 0.55
6 Hoffman, David Cygnar 1 0.63 0.58
7 Guan ,Tom Cryx 1 0.58 0.58
8 Kotovsky, Matt Circle 1 0.58 0.54
9 Hill, Colin Circle 0 1 0.60
10 Lee, Brandon Legion 0 0.75 0.67
11 Arkadios Circle 0 0.67 0.67
12 Lee, Matt Trollbloods 0 0.67 0.58
13 Garret, Jesse Protectorate 0 0.5 0.75
14 Nelson, Erik Cryx 0 0.5 0.63
15 Voth, John Retribution 0 0.5 0.58
label: 2||Conroy, Craig||Circle||3||0.67||0.64
3||Robin, Billy||Cygnar||2||0.67||0.62
4||Puryear, Mike||Protectorate||2||0.58||0.64
5||Braun, Jordan||Cygnar||1||0.75||0.55
6||Hoffman, David||Cygnar||1||0.63||0.58
7||Guan ,Tom||Cryx||1||0.58||0.58
8||Kotovsky, Matt||Circle||1||0.58||0.54
9||Hill, Colin||Circle||0||1||0.60
10||Lee, Brandon||Legion||0||0.75||0.67
11||Arkadios||Circle||0||0.67||0.67
12||Lee, Matt||Trollbloods||0||0.67||0.58
13||Garret, Jesse||Protectorate||0||0.5||0.75
14||Nelson, Erik||Cryx||0||0.5||0.63
15||Voth, John||Retribution||0||0.5||0.58
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:
Larrañaga 29 8 7 14 0 37
Olimpia 27 10 4 13 0 37
Sayago 29 8 7 14 0 37
Verdirrojo 28 4 9 15 0 32
Cordón 25 6 6 13 0 31
Larre Borges 25 6 7 12 0 31



TEGRA_table_txt_file: table_8019.txt
TEGRA_TABLE_TEXT: Larrañaga 29 8 7 14 0 37
Olimpia 27 10 4 13 0 37
Sayago 29 8 7 14 0 37
Verdirrojo 28 4 9 15 0 32
Cordón 25 6 6 13 0 31
Larre Borges 25 6 7 12 0 31
label: Larrañaga||29||8||7||14||0||37
Olimpia||27||10||4||13||0||37
Sayago||29||8||7||14||0||37
Verdirrojo||28||4||9||15||0||32
Cordón||25||6||6||13||0||31
Larre Borges||25||6||7||12||0||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:
BCIN-R-A 295,00 9,26% 19.021,31
VERN-R-A 44,00 8,24% 3.318,00
LURA-R-A 360,30 7,55% 1.801,50
AUHR-R-A 320,00 6,67% 10.560,00
SLPF-R-A 32,90 6,03% 32.900,00
IPKK-R-A 188,00 5,55% 544,65
PTKM-R-A 185,65 4,88% 338.915,01
LRH-R-A 2.300,00 4,55% 4.600,00



TEGRA_table_txt_file: table_4483.txt
TEGRA_TABLE_TEXT: BCIN-R-A 295,00 9,26% 19.021,31
VERN-R-A 44,00 8,24% 3.318,00
LURA-R-A 360,30 7,55% 1.801,50
AUHR-R-A 320,00 6,67% 10.560,00
SLPF-R-A 32,90 6,03% 32.900,00
IPKK-R-A 188,00 5,55% 544,65
PTKM-R-A 185,65 4,88% 338.915,01
LRH-R-A 2.300,00 4,55% 4.600,00
label: BCIN-R-A||295,00||9,26%||19.021,31
VERN-R-A||44,00||8,24%||3.318,00
LURA-R-A||360,30||7,55%||1.801,50
AUHR-R-A||320,00||6,67%||10.560,00
SLPF-R-A||32,90||6,03%||32.900,00
IPKK-R-A||188,00||5,55%||544,65
PTKM-R-A||185,65||4,88%||338.915,01
LRH-R-A||2.300,00||4,55%||4.600,00
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:
2. Vida 5 3 1 1 8:6 10
3. Platense 5 2 2 1 11:7 8
4. Deportes Savio 5 2 2 1 11:9 8
5. Marathon 5 2 1 2 6:6 7
6. Real Sociedad 5 2 1 2 6:8 7
7. Victoria 5 2 0 3 8:10 6
8. Motagua 5 1 2 2 7:8 5
9. Parrillas O. 5 1 1 3 9:11 4



TEGRA_table_txt_file: table_5247.txt
TEGRA_TABLE_TEXT: 2. Vida 5 3 1 1 8:6 10
3. Platense 5 2 2 1 11:7 8
4. Deportes Savio 5 2 2 1 11:9 8
5. Marathon 5 2 1 2 6:6 7
6. Real Sociedad 5 2 1 2 6:8 7
7. Victoria 5 2 0 3 8:10 6
8. Motagua 5 1 2 2 7:8 5
9. Parrillas O. 5 1 1 3 9:11 4
label: 2.||Vida||5||3||1||1||8:6||10
3.||Platense||5||2||2||1||11:7||8
4.||Deportes Savio||5||2||2||1||11:9||8
5.||Marathon||5||2||1||2||6:6||7
6.||Real Sociedad||5||2||1||2||6:8||7
7.||Victoria||5||2||0||3||8:10||6
8.||Motagua||5||1||2||2||7:8||5
9.||Parrillas O.||5||1||1||3||9:11||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:
Uruguay 56 14,600 554.00 2.44
Cuba 64 11,000 1,030.00 3.50
Bolivia 77 14,400 444.00 1.80
Nicaragua 85 12,700 346.00 1.75
Ecuador 86 12,300 309.00 1.86
Guatemala 88 12,000 363.00 1.97
El Salvador 91 12,500 325.00 1.88
Paraguay 95 8,900 341.00 1.69
Perú 101 14,000 270.00 1.77
México 102 9,950 284.40 2.03
Honduras 109 9,200 212.00 1.55
Panamá 114 10,300 296.00 1.84
Costa Rica 114 8,300 229.00 1.82
Colombia 115 10,030 243.00 1.68
Venezuela 129 9,010 236.00 1.78
Chile 141 9,170 233.20 1.66
Rep. Dominicana 151 7,900 190.00 1.67
España 273 5,680 129.60 1.53



TEGRA_table_txt_file: table_2483.txt
TEGRA_TABLE_TEXT: Uruguay 56 14,600 554.00 2.44
Cuba 64 11,000 1,030.00 3.50
Bolivia 77 14,400 444.00 1.80
Nicaragua 85 12,700 346.00 1.75
Ecuador 86 12,300 309.00 1.86
Guatemala 88 12,000 363.00 1.97
El Salvador 91 12,500 325.00 1.88
Paraguay 95 8,900 341.00 1.69
Perú 101 14,000 270.00 1.77
México 102 9,950 284.40 2.03
Honduras 109 9,200 212.00 1.55
Panamá 114 10,300 296.00 1.84
Costa Rica 114 8,300 229.00 1.82
Colombia 115 10,030 243.00 1.68
Venezuela 129 9,010 236.00 1.78
Chile 141 9,170 233.20 1.66
Rep. Dominicana 151 7,900 190.00 1.67
España 273 5,680 129.60 1.53
label: Uruguay||56||14,600||554.00||2.44
Cuba||64||11,000||1,030.00||3.50
Bolivia||77||14,400||444.00||1.80
Nicaragua||85||12,700||346.00||1.75
Ecuador||86||12,300||309.00||1.86
Guatemala||88||12,000||363.00||1.97
El Salvador||91||12,500||325.00||1.88
Paraguay||95||8,900||341.00||1.69
Perú||101||14,000||270.00||1.77
México||102||9,950||284.40||2.03
Honduras||109||9,200||212.00||1.55
Panamá||114||10,300||296.00||1.84
Costa Rica||114||8,300||229.00||1.82
Colombia||115||10,030||243.00||1.68
Venezuela||129||9,010||236.00||1.78
Chile||141||9,170||233.20||1.66
Rep. Dominicana||151||7,900||190.00||1.67
España||273||5,680||129.60||1.53
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:
4924 U St, Sacramento CA 0.21 Single-Family Home $190,000 03/06/13 2 1 1,088
2224 50th St, Sacramento CA 0.24 Single-Family Home $250,000 03/15/13 3 2.5 2,040
5117 U St, Sacramento CA 0.33 Single-Family Home $225,000 07/23/13 3 1 1,652
4851 Q St, Sacramento CA 0.33 Single-Family Home $300,000 05/08/13 2 1 743
5112 T St, Sacramento CA 0.33 Single-Family Home $340,000 07/19/13 2 1 1,026
2235 51st St, Sacramento CA 0.35 Single-Family Home $305,000 07/03/13 2 1 938
2524 51st St, Sacramento CA 0.36 Single-Family Home $280,000 09/18/13 2 2 1,098
2349 42nd St, Sacramento CA 0.37 Single-Family Home $288,500 04/23/13 2 1 1,140



TEGRA_table_txt_file: table_8631.txt
TEGRA_TABLE_TEXT: 4924 U St, Sacramento CA 0.21 Single-Family Home $190,000 03/06/13 2 1 1,088
2224 50th St, Sacramento CA 0.24 Single-Family Home $250,000 03/15/13 3 2.5 2,040
5117 U St, Sacramento CA 0.33 Single-Family Home $225,000 07/23/13 3 1 1,652
4851 Q St, Sacramento CA 0.33 Single-Family Home $300,000 05/08/13 2 1 743
5112 T St, Sacramento CA 0.33 Single-Family Home $340,000 07/19/13 2 1 1,026
2235 51st St, Sacramento CA 0.35 Single-Family Home $305,000 07/03/13 2 1 938
2524 51st St, Sacramento CA 0.36 Single-Family Home $280,000 09/18/13 2 2 1,098
2349 42nd St, Sacramento CA 0.37 Single-Family Home $288,500 04/23/13 2 1 1,140
label: 4924 U St, Sacramento CA||0.21||Single-Family Home||$190,000||03/06/13||2||1||1,088
2224 50th St, Sacramento CA||0.24||Single-Family Home||$250,000||03/15/13||3||2.5||2,040
5117 U St, Sacramento CA||0.33||Single-Family Home||$225,000||07/23/13||3||1||1,652
4851 Q St, Sacramento CA||0.33||Single-Family Home||$300,000||05/08/13||2||1||743
5112 T St, Sacramento CA||0.33||Single-Family Home||$340,000||07/19/13||2||1||1,026
2235 51st St, Sacramento CA||0.35||Single-Family Home||$305,000||07/03/13||2||1||938
2524 51st St, Sacramento CA||0.36||Single-Family Home||$280,000||09/18/13||2||2||1,098
2349 42nd St, Sacramento CA||0.37||Single-Family Home||$288,500||04/23/13||2||1||1,140
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 504.19 986.15
C 576.21 1,127.03
D 648.24 1,267.91
E 792.29 1,549.67
F 936.35 1,831.43
G 1,080.40 2,113.18



TEGRA_table_txt_file: table_2453.txt
TEGRA_TABLE_TEXT: B 504.19 986.15
C 576.21 1,127.03
D 648.24 1,267.91
E 792.29 1,549.67
F 936.35 1,831.43
G 1,080.40 2,113.18
label: B||504.19||986.15
C||576.21||1,127.03
D||648.24||1,267.91
E||792.29||1,549.67
F||936.35||1,831.43
G||1,080.40||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:
7 Fernleigh Dr $710,000 4 Normal Sale 28/09/13
1/22 Elms Rd $376,500 2 Normal Sale 21/09/13
5 Wandana St $570,000 4 Normal Sale 20/09/13
18 Highview Dr $479,000 3 Normal Sale 19/09/13
216 Cardigan Rd $750,000 4 Normal Sale 19/09/13
18A Wimbledon Ct $550,000 4 Normal Sale 17/09/13
4 Loupie St $390,000 2 Normal Sale 17/09/13
21 Coolabah St $360,000 3 Normal Sale 14/09/13



TEGRA_table_txt_file: table_4591.txt
TEGRA_TABLE_TEXT: 7 Fernleigh Dr $710,000 4 Normal Sale 28/09/13
1/22 Elms Rd $376,500 2 Normal Sale 21/09/13
5 Wandana St $570,000 4 Normal Sale 20/09/13
18 Highview Dr $479,000 3 Normal Sale 19/09/13
216 Cardigan Rd $750,000 4 Normal Sale 19/09/13
18A Wimbledon Ct $550,000 4 Normal Sale 17/09/13
4 Loupie St $390,000 2 Normal Sale 17/09/13
21 Coolabah St $360,000 3 Normal Sale 14/09/13
label: 7 Fernleigh Dr||$710,000||4||Normal Sale||28/09/13
1/22 Elms Rd||$376,500||2||Normal Sale||21/09/13
5 Wandana St||$570,000||4||Normal Sale||20/09/13
18 Highview Dr||$479,000||3||Normal Sale||19/09/13
216 Cardigan Rd||$750,000||4||Normal Sale||19/09/13
18A Wimbledon Ct||$550,000||4||Normal Sale||17/09/13
4 Loupie St||$390,000||2||Normal Sale||17/09/13
21 Coolabah St||$360,000||3||Normal Sale||14/09/13
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:
10510 N Silverlake Pt Not For Sale - 3 2 1,836
10463 N Silverlake Pt Not For Sale - 3 2 1,827
10364 N Natchez Loop Not For Sale - 3 2 2,290
10411 N Silverlake Pt Not For Sale - 3 2 1,916
10284 N Silverlake Pt Not For Sale - 3 2 1,740
10374 N Natchez Loop Not For Sale - 4 3 5,344
10217 N Natchez Loop Not For Sale - 3 3 2,086
10217 N Natchez Loop Not For Sale - 3 3 2,033
1865 E Blackforest Rd For Sale $149,900 3 2 1,354
10339 N Natchez Loop Not For Sale - 3 3 2,645



TEGRA_table_txt_file: table_8664.txt
TEGRA_TABLE_TEXT: 10510 N Silverlake Pt Not For Sale - 3 2 1,836
10463 N Silverlake Pt Not For Sale - 3 2 1,827
10364 N Natchez Loop Not For Sale - 3 2 2,290
10411 N Silverlake Pt Not For Sale - 3 2 1,916
10284 N Silverlake Pt Not For Sale - 3 2 1,740
10374 N Natchez Loop Not For Sale - 4 3 5,344
10217 N Natchez Loop Not For Sale - 3 3 2,086
10217 N Natchez Loop Not For Sale - 3 3 2,033
1865 E Blackforest Rd For Sale $149,900 3 2 1,354
10339 N Natchez Loop Not For Sale - 3 3 2,645
label: 10510 N Silverlake Pt||Not For Sale||-||3||2||1,836
10463 N Silverlake Pt||Not For Sale||-||3||2||1,827
10364 N Natchez Loop||Not For Sale||-||3||2||2,290
10411 N Silverlake Pt||Not For Sale||-||3||2||1,916
10284 N Silverlake Pt||Not For Sale||-||3||2||1,740
10374 N Natchez Loop||Not For Sale||-||4||3||5,344
10217 N Natchez Loop||Not For Sale||-||3||3||2,086
10217 N Natchez Loop||Not For Sale||-||3||3||2,033
1865 E Blackforest Rd||For Sale||$149,900||3||2||1,354
10339 N Natchez Loop||Not For Sale||-||3||3||2,645
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 Liverpool 6 4 13
3 Tottenham 6 4 13
4 Everton 6 3 12
5 Chelsea 6 4 11
6 Southampton 6 3 11
7 Man City 6 7 10
8 Hull 6 -1 10
9 Aston Villa 6 1 9
10 West Brom 6 1 8
11 Cardiff 6 -1 8
12 Man Utd 6 0 7
13 Swansea 6 -1 7
14 Norwich 6 -2 7
15 Stoke 6 -2 7
16 Newcastle 6 -4 7
17 West Ham 6 -1 5
18 Fulham 6 -5 4
19 Crystal Palace 6 -6 3



TEGRA_table_txt_file: table_5115.txt
TEGRA_TABLE_TEXT: 2 Liverpool 6 4 13
3 Tottenham 6 4 13
4 Everton 6 3 12
5 Chelsea 6 4 11
6 Southampton 6 3 11
7 Man City 6 7 10
8 Hull 6 -1 10
9 Aston Villa 6 1 9
10 West Brom 6 1 8
11 Cardiff 6 -1 8
12 Man Utd 6 0 7
13 Swansea 6 -1 7
14 Norwich 6 -2 7
15 Stoke 6 -2 7
16 Newcastle 6 -4 7
17 West Ham 6 -1 5
18 Fulham 6 -5 4
19 Crystal Palace 6 -6 3
label: 2||Liverpool||6||4||13
3||Tottenham||6||4||13
4||Everton||6||3||12
5||Chelsea||6||4||11
6||Southampton||6||3||11
7||Man City||6||7||10
8||Hull||6||-1||10
9||Aston Villa||6||1||9
10||West Brom||6||1||8
11||Cardiff||6||-1||8
12||Man Utd||6||0||7
13||Swansea||6||-1||7
14||Norwich||6||-2||7
15||Stoke||6||-2||7
16||Newcastle||6||-4||7
17||West Ham||6||-1||5
18||Fulham||6||-5||4
19||Crystal Palace||6||-6||3
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:
411 Brookside Ave, Oakhurst NJ 0.28 Single-Family Home $210,000 05/17/13 - - 2,719
500 Roseld Ave, Deal NJ 0.28 Single-Family Home $355,500 01/31/13 - - 2,722
455 Redmond Ave, Oakhurst NJ 0.36 Single-Family Home $325,000 04/22/13 - - 1,526
201 Golf Rd, Deal NJ 0.41 Single-Family Home $90,000 06/17/13 - - 2,120
408 Roosevelt Ave, Oakhurst NJ 0.44 Single-Family Home $375,000 02/26/13 - - 2,433
213 Cliftwood Rd, Oakhurst NJ 0.49 Single-Family Home $366,000 06/13/13 - - 1,713
228 Belmar Ave, Oakhurst NJ 0.52 Single-Family Home $364,000 01/10/13 - - 1,580
284 Roosevelt Ave, Oakhurst NJ 0.58 Single-Family Home $627,500 07/16/13 - - 3,254



TEGRA_table_txt_file: table_5415.txt
TEGRA_TABLE_TEXT: 411 Brookside Ave, Oakhurst NJ 0.28 Single-Family Home $210,000 05/17/13 - - 2,719
500 Roseld Ave, Deal NJ 0.28 Single-Family Home $355,500 01/31/13 - - 2,722
455 Redmond Ave, Oakhurst NJ 0.36 Single-Family Home $325,000 04/22/13 - - 1,526
201 Golf Rd, Deal NJ 0.41 Single-Family Home $90,000 06/17/13 - - 2,120
408 Roosevelt Ave, Oakhurst NJ 0.44 Single-Family Home $375,000 02/26/13 - - 2,433
213 Cliftwood Rd, Oakhurst NJ 0.49 Single-Family Home $366,000 06/13/13 - - 1,713
228 Belmar Ave, Oakhurst NJ 0.52 Single-Family Home $364,000 01/10/13 - - 1,580
284 Roosevelt Ave, Oakhurst NJ 0.58 Single-Family Home $627,500 07/16/13 - - 3,254
label: 411 Brookside Ave, Oakhurst NJ||0.28||Single-Family Home||$210,000||05/17/13||-||-||2,719
500 Roseld Ave, Deal NJ||0.28||Single-Family Home||$355,500||01/31/13||-||-||2,722
455 Redmond Ave, Oakhurst NJ||0.36||Single-Family Home||$325,000||04/22/13||-||-||1,526
201 Golf Rd, Deal NJ||0.41||Single-Family Home||$90,000||06/17/13||-||-||2,120
408 Roosevelt Ave, Oakhurst NJ||0.44||Single-Family Home||$375,000||02/26/13||-||-||2,433
213 Cliftwood Rd, Oakhurst NJ||0.49||Single-Family Home||$366,000||06/13/13||-||-||1,713
228 Belmar Ave, Oakhurst NJ||0.52||Single-Family Home||$364,000||01/10/13||-||-||1,580
284 Roosevelt Ave, Oakhurst NJ||0.58||Single-Family Home||$627,500||07/16/13||-||-||3,254
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:
Amount Percent    
Salaries and Expenses $149.28 $160.54 $170.04 $9.50 5.9%
Program Accounts (R&RA & EHR) 33.94 48.67 49.42 0.75 1.5%
Financial Statement Audit 0.50 0.55 0.55 0.00 0.0%
Travel [12.00] [14.00] [15.00] [1.00] [7.1%]
Subtotal, A&M 183.72 209.76 220.01 10.25 4.9%
Office of Inspector General 1 5.60 6.27 6.76 0.49 7.8%



TEGRA_table_txt_file: table_8432.txt
TEGRA_TABLE_TEXT: Amount Percent    
Salaries and Expenses $149.28 $160.54 $170.04 $9.50 5.9%
Program Accounts (R&RA & EHR) 33.94 48.67 49.42 0.75 1.5%
Financial Statement Audit 0.50 0.55 0.55 0.00 0.0%
Travel [12.00] [14.00] [15.00] [1.00] [7.1%]
Subtotal, A&M 183.72 209.76 220.01 10.25 4.9%
Office of Inspector General 1 5.60 6.27 6.76 0.49 7.8%
label: Amount||Percent||||||||
Salaries and Expenses||$149.28||$160.54||$170.04||$9.50||5.9%
Program Accounts (R&RA & EHR)||33.94||48.67||49.42||0.75||1.5%
Financial Statement Audit||0.50||0.55||0.55||0.00||0.0%
Travel||[12.00]||[14.00]||[15.00]||[1.00]||[7.1%]
Subtotal, A&M||183.72||209.76||220.01||10.25||4.9%
Office of Inspector General 1||5.60||6.27||6.76||0.49||7.8%
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:
FAYE Clara 75 15.72
PRISSE Enzo 48 10.06
DESMOULIN Baptiste 44 5.41
MEIS Ga&eacute;tan 42 8.81
BALES Emmy 39 8.18
ANDREI Olivia 37 7.76
MARTINHO Camille 36 7.55
AL-YAKOOB Fourat 34 7.13
JOSSE Mathieu 33 6.92
MIRAMBEAU Apolline 33 6.92
GARCIA jessica 32 6.71
CAUSSADE Lucie 31 6.50
SCHAEFFER Lola 31 6.50
HOUTEKIER C&eacute;lia-Marie 29 6.08
SOURBE Maylis 29 6.08
TISSIE Cl&eacute;ment 27 5.66
GOMEZ Alexis 26 5.45
ALBENQUE Julien 22 4.61
FAYE Victor 21 4.40
PELLAERS Anna 19 3.98
PIERRE F&eacute;lix 13 2.73
WEISS Quentin 13 2.73
TISSIE Elise 12 2.52



TEGRA_table_txt_file: table_7076.txt
TEGRA_TABLE_TEXT: FAYE Clara 75 15.72
PRISSE Enzo 48 10.06
DESMOULIN Baptiste 44 5.41
MEIS Ga&eacute;tan 42 8.81
BALES Emmy 39 8.18
ANDREI Olivia 37 7.76
MARTINHO Camille 36 7.55
AL-YAKOOB Fourat 34 7.13
JOSSE Mathieu 33 6.92
MIRAMBEAU Apolline 33 6.92
GARCIA jessica 32 6.71
CAUSSADE Lucie 31 6.50
SCHAEFFER Lola 31 6.50
HOUTEKIER C&eacute;lia-Marie 29 6.08
SOURBE Maylis 29 6.08
TISSIE Cl&eacute;ment 27 5.66
GOMEZ Alexis 26 5.45
ALBENQUE Julien 22 4.61
FAYE Victor 21 4.40
PELLAERS Anna 19 3.98
PIERRE F&eacute;lix 13 2.73
WEISS Quentin 13 2.73
TISSIE Elise 12 2.52
label: FAYE Clara||75||15.72
PRISSE Enzo||48||10.06
DESMOULIN Baptiste||44||5.41
MEIS Ga&eacute;tan||42||8.81
BALES Emmy||39||8.18
ANDREI Olivia||37||7.76
MARTINHO Camille||36||7.55
AL-YAKOOB Fourat||34||7.13
JOSSE Mathieu||33||6.92
MIRAMBEAU Apolline||33||6.92
GARCIA jessica||32||6.71
CAUSSADE Lucie||31||6.50
SCHAEFFER Lola||31||6.50
HOUTEKIER C&eacute;lia-Marie||29||6.08
SOURBE Maylis||29||6.08
TISSIE Cl&eacute;ment||27||5.66
GOMEZ Alexis||26||5.45
ALBENQUE Julien||22||4.61
FAYE Victor||21||4.40
PELLAERS Anna||19||3.98
PIERRE F&eacute;lix||13||2.73
WEISS Quentin||13||2.73
TISSIE Elise||12||2.52
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 S M L XL 2XL 3XL 4XL 5XL 6XL 7XL SHORT REGULAR LONG X-LONG
B.D.U. SHIRTS CHEST: 29"-33" 33"-37" 37"-41" 41"-45" 45"-49" 49"-53" 53"-57" 57"-61" 61"-65" 65"-69"  - - - -
B.D.U. SHIRTS HEIGHT:            63"-67" 67"-71" 71"-75" -
B.D.U. PANTS WAIST: 23"-27" 27"-31" 31"-35" 35"-39" 39"-43" 43"-47" 47"-51" 51"-55" 55"-59" 59"-63" 63"-66" - - - -
B.D.U. PANTS HIP: 40" 44" 48" 52" 56" 60" 64" 68" 72" 76" 80"    



TEGRA_table_txt_file: table_8319.txt
TEGRA_TABLE_TEXT:  XS S M L XL 2XL 3XL 4XL 5XL 6XL 7XL SHORT REGULAR LONG X-LONG
B.D.U. SHIRTS CHEST: 29"-33" 33"-37" 37"-41" 41"-45" 45"-49" 49"-53" 53"-57" 57"-61" 61"-65" 65"-69"  - - - -
B.D.U. SHIRTS HEIGHT:            63"-67" 67"-71" 71"-75" -
B.D.U. PANTS WAIST: 23"-27" 27"-31" 31"-35" 35"-39" 39"-43" 43"-47" 47"-51" 51"-55" 55"-59" 59"-63" 63"-66" - - - -
B.D.U. PANTS HIP: 40" 44" 48" 52" 56" 60" 64" 68" 72" 76" 80"    
label: ||XS||S||M||L||XL||2XL||3XL||4XL||5XL||6XL||7XL||SHORT||REGULAR||LONG||X-LONG
B.D.U. SHIRTS CHEST:||29"-33"||33"-37"||37"-41"||41"-45"||45"-49"||49"-53"||53"-57"||57"-61"||61"-65"||65"-69"||||-||-||-||-
B.D.U. SHIRTS HEIGHT:||||||||||||||||||||||||63"-67"||67"-71"||71"-75"||-
B.D.U. PANTS WAIST:||23"-27"||27"-31"||31"-35"||35"-39"||39"-43"||43"-47"||47"-51"||51"-55"||55"-59"||59"-63"||63"-66"||-||-||-||-
B.D.U. PANTS HIP:||40"||44"||48"||52"||56"||60"||64"||68"||72"||76"||80"||||||||
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:
3805 Almeria Ave, Sebring FL 0.59 Single-Family Home $97,000 07/26/13 4 2 1,404
3325 Monza Dr, Sebring FL 0.60 Single-Family Home $135,000 08/01/13 3 2 1,571
2524 Manor Dr, Sebring FL 0.67 Single-Family Home $160,000 06/14/13 3 2 2,127
2500 Island Dr, Sebring FL 0.70 Single-Family Home $157,000 07/05/13 3 3 2,754
3609 Monza Dr, Sebring FL 0.76 Single-Family Home $115,000 02/27/13 3 3 1,996
3602 Sunrise Dr, Sebring FL 0.85 Single-Family Home $139,900 03/04/13 3 2 2,393
3413 Edgewater Dr, Sebring FL 0.97 Single-Family Home $122,000 05/07/13 2 2 1,692
4624 Rachael Dr, Sebring FL 1.43 Single-Family Home $115,000 03/01/13 2 2 1,640



TEGRA_table_txt_file: table_8297.txt
TEGRA_TABLE_TEXT: 3805 Almeria Ave, Sebring FL 0.59 Single-Family Home $97,000 07/26/13 4 2 1,404
3325 Monza Dr, Sebring FL 0.60 Single-Family Home $135,000 08/01/13 3 2 1,571
2524 Manor Dr, Sebring FL 0.67 Single-Family Home $160,000 06/14/13 3 2 2,127
2500 Island Dr, Sebring FL 0.70 Single-Family Home $157,000 07/05/13 3 3 2,754
3609 Monza Dr, Sebring FL 0.76 Single-Family Home $115,000 02/27/13 3 3 1,996
3602 Sunrise Dr, Sebring FL 0.85 Single-Family Home $139,900 03/04/13 3 2 2,393
3413 Edgewater Dr, Sebring FL 0.97 Single-Family Home $122,000 05/07/13 2 2 1,692
4624 Rachael Dr, Sebring FL 1.43 Single-Family Home $115,000 03/01/13 2 2 1,640
label: 3805 Almeria Ave, Sebring FL||0.59||Single-Family Home||$97,000||07/26/13||4||2||1,404
3325 Monza Dr, Sebring FL||0.60||Single-Family Home||$135,000||08/01/13||3||2||1,571
2524 Manor Dr, Sebring FL||0.67||Single-Family Home||$160,000||06/14/13||3||2||2,127
2500 Island Dr, Sebring FL||0.70||Single-Family Home||$157,000||07/05/13||3||3||2,754
3609 Monza Dr, Sebring FL||0.76||Single-Family Home||$115,000||02/27/13||3||3||1,996
3602 Sunrise Dr, Sebring FL||0.85||Single-Family Home||$139,900||03/04/13||3||2||2,393
3413 Edgewater Dr, Sebring FL||0.97||Single-Family Home||$122,000||05/07/13||2||2||1,692
4624 Rachael Dr, Sebring FL||1.43||Single-Family Home||$115,000||03/01/13||2||2||1,640
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:
2009  Say Hello to Stan Talmadge Actor --
2007 58% Shelter Jeannie --
2006 90% Half Nelson Rachel $2.6M
2005 83% Keane Michelle --
2005 32% Pretty Persuasion Nadine $58.6k
2001  Seven and a Match Ellie --
2000  The Photographer Amy --



TEGRA_table_txt_file: table_7643.txt
TEGRA_TABLE_TEXT: 2009  Say Hello to Stan Talmadge Actor --
2007 58% Shelter Jeannie --
2006 90% Half Nelson Rachel $2.6M
2005 83% Keane Michelle --
2005 32% Pretty Persuasion Nadine $58.6k
2001  Seven and a Match Ellie --
2000  The Photographer Amy --
label: 2009||||Say Hello to Stan Talmadge||Actor||--
2007||58%||Shelter||Jeannie||--
2006||90%||Half Nelson||Rachel||$2.6M
2005||83%||Keane||Michelle||--
2005||32%||Pretty Persuasion||Nadine||$58.6k
2001||||Seven and a Match||Ellie||--
2000||||The Photographer||Amy||--
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:
80' Rabbitohs Chris Sandow - Conversion 24 - 24
78' Rabbitohs Chris McQueen - Try 22 - 24
72' Rabbitohs James Roberts - Try 18 - 24
72' Rabbitohs Chris Sandow - Conversion 14 - 24
67' Cowboys Johnathan Thurston - Penalty 12 - 24
64' Cowboys Johnathan Thurston - Conversion 12 - 22
63' Cowboys Willie Tonga - Try 12 - 20
59' Cowboys Matthew Bowen - Try 12 - 16
Min  1st Half Details Score
23' Cowboys Tariq Sims - Try 12 - 12
23' Cowboys Johnathan Thurston - Conversion 12 - 8
21' Rabbitohs Chris Sandow - Conversion 12 - 6
19' Rabbitohs Eddy Pettybourne - Try 10 - 6
16' Cowboys Johnathan Thurston - Conversion 6 - 6
14' Cowboys Johnathan Thurston - Try 6 - 4
11' Rabbitohs Chris Sandow - Conversion 6 - 0



TEGRA_table_txt_file: table_5294.txt
TEGRA_TABLE_TEXT: 80' Rabbitohs Chris Sandow - Conversion 24 - 24
78' Rabbitohs Chris McQueen - Try 22 - 24
72' Rabbitohs James Roberts - Try 18 - 24
72' Rabbitohs Chris Sandow - Conversion 14 - 24
67' Cowboys Johnathan Thurston - Penalty 12 - 24
64' Cowboys Johnathan Thurston - Conversion 12 - 22
63' Cowboys Willie Tonga - Try 12 - 20
59' Cowboys Matthew Bowen - Try 12 - 16
Min  1st Half Details Score
23' Cowboys Tariq Sims - Try 12 - 12
23' Cowboys Johnathan Thurston - Conversion 12 - 8
21' Rabbitohs Chris Sandow - Conversion 12 - 6
19' Rabbitohs Eddy Pettybourne - Try 10 - 6
16' Cowboys Johnathan Thurston - Conversion 6 - 6
14' Cowboys Johnathan Thurston - Try 6 - 4
11' Rabbitohs Chris Sandow - Conversion 6 - 0
label: 80'||Rabbitohs||Chris Sandow - Conversion||24 - 24
78'||Rabbitohs||Chris McQueen - Try||22 - 24
72'||Rabbitohs||James Roberts - Try||18 - 24
72'||Rabbitohs||Chris Sandow - Conversion||14 - 24
67'||Cowboys||Johnathan Thurston - Penalty||12 - 24
64'||Cowboys||Johnathan Thurston - Conversion||12 - 22
63'||Cowboys||Willie Tonga - Try||12 - 20
59'||Cowboys||Matthew Bowen - Try||12 - 16
Min||||1st Half Details||Score
23'||Cowboys||Tariq Sims - Try||12 - 12
23'||Cowboys||Johnathan Thurston - Conversion||12 - 8
21'||Rabbitohs||Chris Sandow - Conversion||12 - 6
19'||Rabbitohs||Eddy Pettybourne - Try||10 - 6
16'||Cowboys||Johnathan Thurston - Conversion||6 - 6
14'||Cowboys||Johnathan Thurston - Try||6 - 4
11'||Rabbitohs||Chris Sandow - Conversion||6 - 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:
Domestic PO Address USPS Parcel Post $5.00 2~7 Business Days
PR,HI, AK UPS Ground $24.00 3~5 Business Days
Canada UPS Ground $20.00 3~10 Business Days
Canada PO Address USPS Priority Mail $25.00 5~10 Business Days
APO, FPO, VI, GU USPS Priority Mail $49.96 5~10 Business Days



TEGRA_table_txt_file: table_7254.txt
TEGRA_TABLE_TEXT: Domestic PO Address USPS Parcel Post $5.00 2~7 Business Days
PR,HI, AK UPS Ground $24.00 3~5 Business Days
Canada UPS Ground $20.00 3~10 Business Days
Canada PO Address USPS Priority Mail $25.00 5~10 Business Days
APO, FPO, VI, GU USPS Priority Mail $49.96 5~10 Business Days
label: Domestic PO Address||USPS Parcel Post||$5.00||2~7 Business Days
PR,HI, AK||UPS Ground||$24.00||3~5 Business Days
Canada||UPS Ground||$20.00||3~10 Business Days
Canada PO Address||USPS Priority Mail||$25.00||5~10 Business Days
APO, FPO, VI, GU||USPS Priority Mail||$49.96||5~10 Business Days