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:
Diag. Screen Size 4.3" 4.3" 4.3" 4.3"
Text-to-Speech Yes Yes Yes Yes
Maps of U.S. & Canada Yes Yes Yes Yes
Maps of Europe no no Yes no
Bluetooth no Yes Yes Yes
Live Traffic Included Included Included MSN Direct
MSN Direct Accessory Accessory Accessory Included
Retail Price $499.99 $599.99 $799.99 $699.99



TEGRA_table_txt_file: table_2859.txt
TEGRA_TABLE_TEXT: Diag. Screen Size 4.3" 4.3" 4.3" 4.3"
Text-to-Speech Yes Yes Yes Yes
Maps of U.S. & Canada Yes Yes Yes Yes
Maps of Europe no no Yes no
Bluetooth no Yes Yes Yes
Live Traffic Included Included Included MSN Direct
MSN Direct Accessory Accessory Accessory Included
Retail Price $499.99 $599.99 $799.99 $699.99
label: Diag. Screen Size||4.3"||4.3"||4.3"||4.3"
Text-to-Speech||Yes||Yes||Yes||Yes
Maps of U.S. & Canada||Yes||Yes||Yes||Yes
Maps of Europe||no||no||Yes||no
Bluetooth||no||Yes||Yes||Yes
Live Traffic||Included||Included||Included||MSN Direct
MSN Direct||Accessory||Accessory||Accessory||Included
Retail Price||$499.99||$599.99||$799.99||$699.99
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
1 Daweb     Maltahöhe
5 Gibeon NA.HA.GI    Gibeon
7 Mariental Land NA.HA.MR    Mariental
6 Mariental Stadt NA.HA.MU 5.919 15.300 2,6 Mariental
2 Rehoboth Land NA.HA.RR 288 7300 25,2 Rehoboth
3 Rehoboth Stadt (West) NA.HA.RW 326 11.200 34,3 Rehoboth
4 Rehoboth Stadt (Ost) NA.HA.RE 10.954 18.600 1,6 Rehoboth



TEGRA_table_txt_file: table_2132.txt
TEGRA_TABLE_TEXT: 1 Daweb     Maltahöhe
5 Gibeon NA.HA.GI    Gibeon
7 Mariental Land NA.HA.MR    Mariental
6 Mariental Stadt NA.HA.MU 5.919 15.300 2,6 Mariental
2 Rehoboth Land NA.HA.RR 288 7300 25,2 Rehoboth
3 Rehoboth Stadt (West) NA.HA.RW 326 11.200 34,3 Rehoboth
4 Rehoboth Stadt (Ost) NA.HA.RE 10.954 18.600 1,6 Rehoboth
label: 1||Daweb||||||||||Maltahöhe
5||Gibeon||NA.HA.GI||||||||Gibeon
7||Mariental Land||NA.HA.MR||||||||Mariental
6||Mariental Stadt||NA.HA.MU||5.919||15.300||2,6||Mariental
2||Rehoboth Land||NA.HA.RR||288||7300||25,2||Rehoboth
3||Rehoboth Stadt (West)||NA.HA.RW||326||11.200||34,3||Rehoboth
4||Rehoboth Stadt (Ost)||NA.HA.RE||10.954||18.600||1,6||Rehoboth
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:
Storage space - 50000 Mb 0 Mb
Download volume 0 Mb in 1 days 0 Mb in 1 days 0 Mb in 1 days
Remote URL upload - - -
Download-Accelerators support - - -
Downloads resume - - -
No downloads delay   
No downloads captcha   
No Advertisements - - 



TEGRA_table_txt_file: table_8216.txt
TEGRA_TABLE_TEXT: Storage space - 50000 Mb 0 Mb
Download volume 0 Mb in 1 days 0 Mb in 1 days 0 Mb in 1 days
Remote URL upload - - -
Download-Accelerators support - - -
Downloads resume - - -
No downloads delay   
No downloads captcha   
No Advertisements - - 
label: Storage space||-||50000 Mb||0 Mb
Download volume||0 Mb in 1 days||0 Mb in 1 days||0 Mb in 1 days
Remote URL upload||-||-||-
Download-Accelerators support||-||-||-
Downloads resume||-||-||-
No downloads delay||||||
No downloads captcha||||||
No Advertisements||-||-||
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
Salary (21) $109,856 $85k $126k
Bonuses (6) $48,346 $10k $205k
Cash Bonus (5) $11,765 $5,000 $19k
Stock Bonus (3) $73,750 $10k $200k
Profit Sharing (1) n/a $10k $10k
Other Pay (0) n/a No Reports
Commissions on Sales (0) n/a No Reports
Tips (0) n/a No Reports
Salaries in USD Average $10k $110k $210k



TEGRA_table_txt_file: table_9002.txt
TEGRA_TABLE_TEXT: Salary (21) $109,856 $85k $126k
Bonuses (6) $48,346 $10k $205k
Cash Bonus (5) $11,765 $5,000 $19k
Stock Bonus (3) $73,750 $10k $200k
Profit Sharing (1) n/a $10k $10k
Other Pay (0) n/a No Reports
Commissions on Sales (0) n/a No Reports
Tips (0) n/a No Reports
Salaries in USD Average $10k $110k $210k
label: Salary (21)||$109,856||$85k $126k
Bonuses (6)||$48,346||$10k $205k
Cash Bonus (5)||$11,765||$5,000 $19k
Stock Bonus (3)||$73,750||$10k $200k
Profit Sharing (1)||n/a||$10k $10k
Other Pay (0)||n/a||No Reports
Commissions on Sales (0)||n/a||No Reports
Tips (0)||n/a||No Reports
Salaries in USD||Average||$10k $110k $210k
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:
2x3 5.08x7.62 600x900 300dpi JPEG
3.5x5 8.89x12.7 1050x1500 300dpi JPEG
4x6 10.16x15.24 1200x1800 300dpi JPEG
5x7 12.7x17.78 1500x2100 300dpi JPEG
6x8 15.24x20.32 1800x2400 300dpi JPEG
A4 21x29.7 2480x3508 300dpi JPEG
10x12 25.4x30.48 3000x3600 300dpi JPEG
11x14 27.94x35.56 3300x4200 300dpi JPEG
A3 29.7x42 3508x4961 300dpi JPEG
12x18 30.48x45.72 3600x5400 300dpi JPEG
16x20 40.64x50.8 4800x6000 300dpi JPEG
20x24 50.8x60.96 6000x7200 300dpi JPEG
20x30 50.8x76.2 6000x9000 300dpi JPEG
4x4 10.16x10.16 1200x1200 300dpi JPEG
4x7 10.16x17.78 1200x2100 300dpi JPEG
4x8 10.16x20.32 1200x2400 300dpi JPEG
5x5 CD-CASE 12.7x12.7 1500x1500 300dpi JPEG
5x8.5 12.7x8.5 1500x2550 300dpi JPEG
5x10 12.7x25.4 1500x3000 300dpi JPEG
5x14 12.7x35.56 1500x4200 300dpi JPEG



TEGRA_table_txt_file: table_1892.txt
TEGRA_TABLE_TEXT: 2x3 5.08x7.62 600x900 300dpi JPEG
3.5x5 8.89x12.7 1050x1500 300dpi JPEG
4x6 10.16x15.24 1200x1800 300dpi JPEG
5x7 12.7x17.78 1500x2100 300dpi JPEG
6x8 15.24x20.32 1800x2400 300dpi JPEG
A4 21x29.7 2480x3508 300dpi JPEG
10x12 25.4x30.48 3000x3600 300dpi JPEG
11x14 27.94x35.56 3300x4200 300dpi JPEG
A3 29.7x42 3508x4961 300dpi JPEG
12x18 30.48x45.72 3600x5400 300dpi JPEG
16x20 40.64x50.8 4800x6000 300dpi JPEG
20x24 50.8x60.96 6000x7200 300dpi JPEG
20x30 50.8x76.2 6000x9000 300dpi JPEG
4x4 10.16x10.16 1200x1200 300dpi JPEG
4x7 10.16x17.78 1200x2100 300dpi JPEG
4x8 10.16x20.32 1200x2400 300dpi JPEG
5x5 CD-CASE 12.7x12.7 1500x1500 300dpi JPEG
5x8.5 12.7x8.5 1500x2550 300dpi JPEG
5x10 12.7x25.4 1500x3000 300dpi JPEG
5x14 12.7x35.56 1500x4200 300dpi JPEG
label: 2x3||5.08x7.62||600x900||300dpi||JPEG
3.5x5||8.89x12.7||1050x1500||300dpi||JPEG
4x6||10.16x15.24||1200x1800||300dpi||JPEG
5x7||12.7x17.78||1500x2100||300dpi||JPEG
6x8||15.24x20.32||1800x2400||300dpi||JPEG
A4||21x29.7||2480x3508||300dpi||JPEG
10x12||25.4x30.48||3000x3600||300dpi||JPEG
11x14||27.94x35.56||3300x4200||300dpi||JPEG
A3||29.7x42||3508x4961||300dpi||JPEG
12x18||30.48x45.72||3600x5400||300dpi||JPEG
16x20||40.64x50.8||4800x6000||300dpi||JPEG
20x24||50.8x60.96||6000x7200||300dpi||JPEG
20x30||50.8x76.2||6000x9000||300dpi||JPEG
4x4||10.16x10.16||1200x1200||300dpi||JPEG
4x7||10.16x17.78||1200x2100||300dpi||JPEG
4x8||10.16x20.32||1200x2400||300dpi||JPEG
5x5 CD-CASE||12.7x12.7||1500x1500||300dpi||JPEG
5x8.5||12.7x8.5||1500x2550||300dpi||JPEG
5x10||12.7x25.4||1500x3000||300dpi||JPEG
5x14||12.7x35.56||1500x4200||300dpi||JPEG
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:
2719 Troon Cir Not For Sale - 3 3 3,010
2743 Troon Cir For Sale $379,900 5 3 3,314
3339 John O Groats Ct Not For Sale - 2 2 2,617
2725 Troon Cir Not For Sale - 4 3 3,154
3338 John O Groats Ct Not For Sale - 3 3 3,408
2713 Troon Cir Not For Sale - 4 3 2,774
2730 Troon Cir Not For Sale - 4 3 2,816
2736 Troon Cir Not For Sale - 4 3 2,580
2718 Troon Cir Not For Sale - 5 3 3,032
3335 John O Groats Ct Not For Sale - 5 4 3,529



TEGRA_table_txt_file: table_947.txt
TEGRA_TABLE_TEXT: 2719 Troon Cir Not For Sale - 3 3 3,010
2743 Troon Cir For Sale $379,900 5 3 3,314
3339 John O Groats Ct Not For Sale - 2 2 2,617
2725 Troon Cir Not For Sale - 4 3 3,154
3338 John O Groats Ct Not For Sale - 3 3 3,408
2713 Troon Cir Not For Sale - 4 3 2,774
2730 Troon Cir Not For Sale - 4 3 2,816
2736 Troon Cir Not For Sale - 4 3 2,580
2718 Troon Cir Not For Sale - 5 3 3,032
3335 John O Groats Ct Not For Sale - 5 4 3,529
label: 2719 Troon Cir||Not For Sale||-||3||3||3,010
2743 Troon Cir||For Sale||$379,900||5||3||3,314
3339 John O Groats Ct||Not For Sale||-||2||2||2,617
2725 Troon Cir||Not For Sale||-||4||3||3,154
3338 John O Groats Ct||Not For Sale||-||3||3||3,408
2713 Troon Cir||Not For Sale||-||4||3||2,774
2730 Troon Cir||Not For Sale||-||4||3||2,816
2736 Troon Cir||Not For Sale||-||4||3||2,580
2718 Troon Cir||Not For Sale||-||5||3||3,032
3335 John O Groats Ct||Not For Sale||-||5||4||3,529
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:
Stat Rk  Stat Rk
650 16 Runs 745 5
1321 25 Hits 1460 8
247 25 Doubles 298 5
24 15 Triples 14 30
144 22 Home Runs 212 1
614 18 RBIs 719 5
466 19 Walks 416 28
1214 17 Strike Outs 1125 7
121 17 Hit into Dbl Plays 105 28
115 7 Stolen Bases 79 16
31 12 Caught Stealing 29 9
36 19 Sac Flies 45 10
36 20 Sac Hits 27 25
.307 23 OBP .313 17
.376 27 Slugging Pct .431 3



TEGRA_table_txt_file: table_7108.txt
TEGRA_TABLE_TEXT: Stat Rk  Stat Rk
650 16 Runs 745 5
1321 25 Hits 1460 8
247 25 Doubles 298 5
24 15 Triples 14 30
144 22 Home Runs 212 1
614 18 RBIs 719 5
466 19 Walks 416 28
1214 17 Strike Outs 1125 7
121 17 Hit into Dbl Plays 105 28
115 7 Stolen Bases 79 16
31 12 Caught Stealing 29 9
36 19 Sac Flies 45 10
36 20 Sac Hits 27 25
.307 23 OBP .313 17
.376 27 Slugging Pct .431 3
label: Stat||Rk||||Stat||Rk
650||16||Runs||745||5
1321||25||Hits||1460||8
247||25||Doubles||298||5
24||15||Triples||14||30
144||22||Home Runs||212||1
614||18||RBIs||719||5
466||19||Walks||416||28
1214||17||Strike Outs||1125||7
121||17||Hit into Dbl Plays||105||28
115||7||Stolen Bases||79||16
31||12||Caught Stealing||29||9
36||19||Sac Flies||45||10
36||20||Sac Hits||27||25
.307||23||OBP||.313||17
.376||27||Slugging Pct||.431||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:
Size J4 J6 J8 J10 J12 J14 J16       
 inch cm inch cm inch cm inch cm inch cm inch cm inch cm
Bust 22 56 24 61 26 66 28 71 30 76 32 81 34 86
Waist 20 51 22 56 24 61 26 66 28 71 30 76 32 81
Hips 25 64 27 69 29 74 31 79 33 84 35 89 37 94



TEGRA_table_txt_file: table_196.txt
TEGRA_TABLE_TEXT: Size J4 J6 J8 J10 J12 J14 J16       
 inch cm inch cm inch cm inch cm inch cm inch cm inch cm
Bust 22 56 24 61 26 66 28 71 30 76 32 81 34 86
Waist 20 51 22 56 24 61 26 66 28 71 30 76 32 81
Hips 25 64 27 69 29 74 31 79 33 84 35 89 37 94
label: Size||J4||J6||J8||J10||J12||J14||J16||||||||||||||
||inch||cm||inch||cm||inch||cm||inch||cm||inch||cm||inch||cm||inch||cm
Bust||22||56||24||61||26||66||28||71||30||76||32||81||34||86
Waist||20||51||22||56||24||61||26||66||28||71||30||76||32||81
Hips||25||64||27||69||29||74||31||79||33||84||35||89||37||94
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 SEA 13 -- -- -- -- -- -- -- -- --
2008 SEA 16 -- -- -- -- -- -- -- -- --
2007 SEA 16 1 0 0.0 0 0 0 0 0 0
2006 SEA 11 -- -- -- -- -- -- -- -- --
2005 SEA 16 -- -- -- -- -- -- -- -- --



TEGRA_table_txt_file: table_1271.txt
TEGRA_TABLE_TEXT: 2009 SEA 13 -- -- -- -- -- -- -- -- --
2008 SEA 16 -- -- -- -- -- -- -- -- --
2007 SEA 16 1 0 0.0 0 0 0 0 0 0
2006 SEA 11 -- -- -- -- -- -- -- -- --
2005 SEA 16 -- -- -- -- -- -- -- -- --
label: 2009||SEA||13||--||--||--||--||--||--||--||--||--
2008||SEA||16||--||--||--||--||--||--||--||--||--
2007||SEA||16||1||0||0.0||0||0||0||0||0||0
2006||SEA||11||--||--||--||--||--||--||--||--||--
2005||SEA||16||--||--||--||--||--||--||--||--||--
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 Miroslav Klose 130
3 Lukas Podolski 111
4 J&uuml;rgen Klinsmann 108
5 J&uuml;rgen Kohler 105
6 Franz Beckenbauer 103
7 Thomas H&auml;ssler 101
7 Philipp Lahm 101



TEGRA_table_txt_file: table_6402.txt
TEGRA_TABLE_TEXT: 2 Miroslav Klose 130
3 Lukas Podolski 111
4 J&uuml;rgen Klinsmann 108
5 J&uuml;rgen Kohler 105
6 Franz Beckenbauer 103
7 Thomas H&auml;ssler 101
7 Philipp Lahm 101
label: 2||Miroslav Klose||130
3||Lukas Podolski||111
4||J&uuml;rgen Klinsmann||108
5||J&uuml;rgen Kohler||105
6||Franz Beckenbauer||103
7||Thomas H&auml;ssler||101
7||Philipp Lahm||101
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
Salary (2) $141,521 $129k $154k
Bonuses (0) n/a No Reports
Cash Bonus (0) n/a No Reports
Stock Bonus (0) n/a No Reports
Profit Sharing (0) n/a No Reports
Other Pay (1) n/a $29k $31k
Commissions on Sales (1) n/a $29k $31k
Tips (0) n/a No Reports
Salaries in USD Average $30k $80k $130k



TEGRA_table_txt_file: table_6317.txt
TEGRA_TABLE_TEXT: Salary (2) $141,521 $129k $154k
Bonuses (0) n/a No Reports
Cash Bonus (0) n/a No Reports
Stock Bonus (0) n/a No Reports
Profit Sharing (0) n/a No Reports
Other Pay (1) n/a $29k $31k
Commissions on Sales (1) n/a $29k $31k
Tips (0) n/a No Reports
Salaries in USD Average $30k $80k $130k
label: Salary (2)||$141,521||$129k $154k
Bonuses (0)||n/a||No Reports
Cash Bonus (0)||n/a||No Reports
Stock Bonus (0)||n/a||No Reports
Profit Sharing (0)||n/a||No Reports
Other Pay (1)||n/a||$29k $31k
Commissions on Sales (1)||n/a||$29k $31k
Tips (0)||n/a||No Reports
Salaries in USD||Average||$30k $80k $130k
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:
Caldwell Name Heather Bilyea 9 Feb 2000 6:39PM GMT
Caldwell- Heather Constance VanBlaricom 10 Feb 2000 7:10AM GMT
Caldwell Info Heather Bilyea 10 Feb 2000 5:36PM GMT
Caldwell Indian Site mzionic 26 Jun 2000 3:38PM GMT
Billy Caldwell Chris Butler 27 Jun 2000 9:20PM GMT
montazuma and roxanna caldwell mzionic 1 Jul 2000 8:25AM GMT
Caldwell family Chris Butler 2 Jul 2000 7:22AM GMT
Caldwell and email address mzionic 2 Jul 2000 10:24AM GMT



TEGRA_table_txt_file: table_8480.txt
TEGRA_TABLE_TEXT: Caldwell Name Heather Bilyea 9 Feb 2000 6:39PM GMT
Caldwell- Heather Constance VanBlaricom 10 Feb 2000 7:10AM GMT
Caldwell Info Heather Bilyea 10 Feb 2000 5:36PM GMT
Caldwell Indian Site mzionic 26 Jun 2000 3:38PM GMT
Billy Caldwell Chris Butler 27 Jun 2000 9:20PM GMT
montazuma and roxanna caldwell mzionic 1 Jul 2000 8:25AM GMT
Caldwell family Chris Butler 2 Jul 2000 7:22AM GMT
Caldwell and email address mzionic 2 Jul 2000 10:24AM GMT
label: Caldwell Name||Heather Bilyea||9 Feb 2000 6:39PM GMT
Caldwell- Heather||Constance VanBlaricom||10 Feb 2000 7:10AM GMT
Caldwell Info||Heather Bilyea||10 Feb 2000 5:36PM GMT
Caldwell Indian Site||mzionic||26 Jun 2000 3:38PM GMT
Billy Caldwell||Chris Butler||27 Jun 2000 9:20PM GMT
montazuma and roxanna caldwell||mzionic||1 Jul 2000 8:25AM GMT
Caldwell family||Chris Butler||2 Jul 2000 7:22AM GMT
Caldwell and email address||mzionic||2 Jul 2000 10:24AM GMT
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:
GRADO SALARIAL DIRECTIVO ASESOR PROFESIONAL TÉCNICO ASISTENCIAL
01 $2.811.873 $2.811.873 $1.850.669 $1.324.209 $902.323
02 $3.253.251 $3.253.251 $2.055.728 $1.421.109 $1.064.789
03 $4.387.306 $3.590.408 $2.108.322 $1.527.064 $1.080.786
04 $4.914.769 $4.003.614 $2.224.077 $1.620.290 $1.162.704
05 $5.511.228 $4.387.306 $2.262.052 $1.723.079 $1.200.388
06   $2.411.911  $1.238.074
07   $2.468.567  $1.324.209
08   $2.624.239  $1.421.109
09   $2.690.569  $1.583.834
10   $2.811.873  $1.663.455



TEGRA_table_txt_file: table_3789.txt
TEGRA_TABLE_TEXT: GRADO SALARIAL DIRECTIVO ASESOR PROFESIONAL TÉCNICO ASISTENCIAL
01 $2.811.873 $2.811.873 $1.850.669 $1.324.209 $902.323
02 $3.253.251 $3.253.251 $2.055.728 $1.421.109 $1.064.789
03 $4.387.306 $3.590.408 $2.108.322 $1.527.064 $1.080.786
04 $4.914.769 $4.003.614 $2.224.077 $1.620.290 $1.162.704
05 $5.511.228 $4.387.306 $2.262.052 $1.723.079 $1.200.388
06   $2.411.911  $1.238.074
07   $2.468.567  $1.324.209
08   $2.624.239  $1.421.109
09   $2.690.569  $1.583.834
10   $2.811.873  $1.663.455
label: GRADO SALARIAL||DIRECTIVO||ASESOR||PROFESIONAL||TÉCNICO||ASISTENCIAL
01||$2.811.873||$2.811.873||$1.850.669||$1.324.209||$902.323
02||$3.253.251||$3.253.251||$2.055.728||$1.421.109||$1.064.789
03||$4.387.306||$3.590.408||$2.108.322||$1.527.064||$1.080.786
04||$4.914.769||$4.003.614||$2.224.077||$1.620.290||$1.162.704
05||$5.511.228||$4.387.306||$2.262.052||$1.723.079||$1.200.388
06||||||$2.411.911||||$1.238.074
07||||||$2.468.567||||$1.324.209
08||||||$2.624.239||||$1.421.109
09||||||$2.690.569||||$1.583.834
10||||||$2.811.873||||$1.663.455
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:
Vis Artena 6 11 7 4 1 1 13
Lariano R.D.P. Nemi 6 14 10 4 1 1 13
Colleferro 6 9 6 3 3 0 12
Albalonga 6 11 7 3 1 2 10
Ceccano 6 7 5 2 4 0 10
Roccasecca T.S.Tommaso 6 11 8 3 1 2 10
Morolo 6 9 5 3 1 2 10
Borgo Podgora 1950 6 9 9 3 0 3 9
Sport.Real Pomezia D.A 6 9 6 2 2 2 8
M.S.Giovanni Campano 6 7 9 2 1 3 7
Gaeta S.R.L. 6 11 12 2 1 3 7
Semprevisa 6 9 14 2 1 3 7
Atletico Boville Ernica 6 9 11 1 2 3 5
Citta di Ciampino 6 6 11 1 2 3 5
Cecchina Al.Pa. 6 3 13 1 1 4 4
Formia 1905 6 7 11 1 1 4 4
Pro Cisterna 1926 6 4 14 0 1 5 1



TEGRA_table_txt_file: table_7205.txt
TEGRA_TABLE_TEXT: Vis Artena 6 11 7 4 1 1 13
Lariano R.D.P. Nemi 6 14 10 4 1 1 13
Colleferro 6 9 6 3 3 0 12
Albalonga 6 11 7 3 1 2 10
Ceccano 6 7 5 2 4 0 10
Roccasecca T.S.Tommaso 6 11 8 3 1 2 10
Morolo 6 9 5 3 1 2 10
Borgo Podgora 1950 6 9 9 3 0 3 9
Sport.Real Pomezia D.A 6 9 6 2 2 2 8
M.S.Giovanni Campano 6 7 9 2 1 3 7
Gaeta S.R.L. 6 11 12 2 1 3 7
Semprevisa 6 9 14 2 1 3 7
Atletico Boville Ernica 6 9 11 1 2 3 5
Citta di Ciampino 6 6 11 1 2 3 5
Cecchina Al.Pa. 6 3 13 1 1 4 4
Formia 1905 6 7 11 1 1 4 4
Pro Cisterna 1926 6 4 14 0 1 5 1
label: Vis Artena||6||11||7||4||1||1||13
Lariano R.D.P. Nemi||6||14||10||4||1||1||13
Colleferro||6||9||6||3||3||0||12
Albalonga||6||11||7||3||1||2||10
Ceccano||6||7||5||2||4||0||10
Roccasecca T.S.Tommaso||6||11||8||3||1||2||10
Morolo||6||9||5||3||1||2||10
Borgo Podgora 1950||6||9||9||3||0||3||9
Sport.Real Pomezia D.A||6||9||6||2||2||2||8
M.S.Giovanni Campano||6||7||9||2||1||3||7
Gaeta S.R.L.||6||11||12||2||1||3||7
Semprevisa||6||9||14||2||1||3||7
Atletico Boville Ernica||6||9||11||1||2||3||5
Citta di Ciampino||6||6||11||1||2||3||5
Cecchina Al.Pa.||6||3||13||1||1||4||4
Formia 1905||6||7||11||1||1||4||4
Pro Cisterna 1926||6||4||14||0||1||5||1
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:
12-01-30 Padova Cremonese 0-1 (0-1)
12-01-30 Modena Bologna 1-2 (1-1)
12-01-30 Napoli Genoa 1-2 (0-1)
12-01-30 Torino Lazio 1-0 (1-0)
12-01-30 Roma Juventus 2-3 (1-2)
12-01-30 Milan Pro Patria 3-2 (1-0)
12-01-30 Alessandria Triestina 4-1 (2-1)



TEGRA_table_txt_file: table_5740.txt
TEGRA_TABLE_TEXT: 12-01-30 Padova Cremonese 0-1 (0-1)
12-01-30 Modena Bologna 1-2 (1-1)
12-01-30 Napoli Genoa 1-2 (0-1)
12-01-30 Torino Lazio 1-0 (1-0)
12-01-30 Roma Juventus 2-3 (1-2)
12-01-30 Milan Pro Patria 3-2 (1-0)
12-01-30 Alessandria Triestina 4-1 (2-1)
label: 12-01-30||Padova||Cremonese||0-1||(0-1)
12-01-30||Modena||Bologna||1-2||(1-1)
12-01-30||Napoli||Genoa||1-2||(0-1)
12-01-30||Torino||Lazio||1-0||(1-0)
12-01-30||Roma||Juventus||2-3||(1-2)
12-01-30||Milan||Pro Patria||3-2||(1-0)
12-01-30||Alessandria||Triestina||4-1||(2-1)
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:
Medical Terminology , S2 Tue. & Thu. 6:00-8:30pm 9/3-10/24
ICD-9 Coding Tue. & Thu. 5:55-9:00pm 9/17-10/2
ICD-9 Coding Tue. & Thu. 5:55-9:00pm 11/5-12/10 Skisp 11/28
Accelerated ICD-10 Tuesday 6:00-10:00pm 1/7/14-1/28/14
CPT-4 Coding Tue. & Thu. 5:55-9:00pm 10/29-12/19; Skips 11/12, 11/14
CPT-4 Coding, S2 Mon. & Wed. 5:55-9:00pm 9/4-10/23; Skips 9/16-10/14
Regulations Thursday 6:00-9:20pm 1/9/14-1/23/14
Medical Billing, S1 Wednesday 6:00-9:00pm 9/4-10/2
Medical Billing, S2 Wednesday 6:00-9:00pm 11/6-12/18 (skips 11/20 & 11/27)
Combined Certificate Courses   
Outpatient Facility Coding Thursday 6:00-9:00pm 9/5-10/24



TEGRA_table_txt_file: table_8135.txt
TEGRA_TABLE_TEXT: Medical Terminology , S2 Tue. & Thu. 6:00-8:30pm 9/3-10/24
ICD-9 Coding Tue. & Thu. 5:55-9:00pm 9/17-10/2
ICD-9 Coding Tue. & Thu. 5:55-9:00pm 11/5-12/10 Skisp 11/28
Accelerated ICD-10 Tuesday 6:00-10:00pm 1/7/14-1/28/14
CPT-4 Coding Tue. & Thu. 5:55-9:00pm 10/29-12/19; Skips 11/12, 11/14
CPT-4 Coding, S2 Mon. & Wed. 5:55-9:00pm 9/4-10/23; Skips 9/16-10/14
Regulations Thursday 6:00-9:20pm 1/9/14-1/23/14
Medical Billing, S1 Wednesday 6:00-9:00pm 9/4-10/2
Medical Billing, S2 Wednesday 6:00-9:00pm 11/6-12/18 (skips 11/20 & 11/27)
Combined Certificate Courses   
Outpatient Facility Coding Thursday 6:00-9:00pm 9/5-10/24
label: Medical Terminology , S2||Tue. & Thu.||6:00-8:30pm||9/3-10/24
ICD-9 Coding||Tue. & Thu.||5:55-9:00pm||9/17-10/2
ICD-9 Coding||Tue. & Thu.||5:55-9:00pm||11/5-12/10 Skisp 11/28
Accelerated ICD-10||Tuesday||6:00-10:00pm||1/7/14-1/28/14
CPT-4 Coding||Tue. & Thu.||5:55-9:00pm||10/29-12/19; Skips 11/12, 11/14
CPT-4 Coding, S2||Mon. & Wed.||5:55-9:00pm||9/4-10/23; Skips 9/16-10/14
Regulations||Thursday||6:00-9:20pm||1/9/14-1/23/14
Medical Billing, S1||Wednesday||6:00-9:00pm||9/4-10/2
Medical Billing, S2||Wednesday||6:00-9:00pm||11/6-12/18 (skips 11/20 & 11/27)
Combined Certificate Courses||||||
Outpatient Facility Coding||Thursday||6:00-9:00pm||9/5-10/24
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:
Calais Campbell  vs CAR W 22-6 2.0 13.0 2 4 0 1 0
Karlos Dansby  vs CAR W 22-6 2.0 20.0 2 8 0 0 0
Robert Mathis IND vs SEA W 34-28 2.0 5.0 1 3 3 1 0
Nick Perry GB vs DET W 22-9 2.0 18.0 1 5 0 1 0
Shaun Phillips DEN @ DAL W 51-48 2.0 23.0 2 3 0 0 0
Osi Umenyiora ATL vs NYJ L 28-30 2.0 16.0 2 4 2 0 0
Daryl Washington  vs CAR W 22-6 2.0 7.0 2 8 1 0 0
Mario Williams BUF @ L 24-37 2.0 12.0 3 2 2 0 0
Wallace Gilberry CIN vs NE W 13-6 1.5 10.5 3 2 2 1 0



TEGRA_table_txt_file: table_1557.txt
TEGRA_TABLE_TEXT: Calais Campbell  vs CAR W 22-6 2.0 13.0 2 4 0 1 0
Karlos Dansby  vs CAR W 22-6 2.0 20.0 2 8 0 0 0
Robert Mathis IND vs SEA W 34-28 2.0 5.0 1 3 3 1 0
Nick Perry GB vs DET W 22-9 2.0 18.0 1 5 0 1 0
Shaun Phillips DEN @ DAL W 51-48 2.0 23.0 2 3 0 0 0
Osi Umenyiora ATL vs NYJ L 28-30 2.0 16.0 2 4 2 0 0
Daryl Washington  vs CAR W 22-6 2.0 7.0 2 8 1 0 0
Mario Williams BUF @ L 24-37 2.0 12.0 3 2 2 0 0
Wallace Gilberry CIN vs NE W 13-6 1.5 10.5 3 2 2 1 0
label: Calais Campbell||||vs CAR||W 22-6||2.0||13.0||2||4||0||1||0
Karlos Dansby||||vs CAR||W 22-6||2.0||20.0||2||8||0||0||0
Robert Mathis||IND||vs SEA||W 34-28||2.0||5.0||1||3||3||1||0
Nick Perry||GB||vs DET||W 22-9||2.0||18.0||1||5||0||1||0
Shaun Phillips||DEN||@ DAL||W 51-48||2.0||23.0||2||3||0||0||0
Osi Umenyiora||ATL||vs NYJ||L 28-30||2.0||16.0||2||4||2||0||0
Daryl Washington||||vs CAR||W 22-6||2.0||7.0||2||8||1||0||0
Mario Williams||BUF||@||L 24-37||2.0||12.0||3||2||2||0||0
Wallace Gilberry||CIN||vs NE||W 13-6||1.5||10.5||3||2||2||1||0
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
CHRISTMAS/NEW YEAR 12-22-2013 12-31-2013 1614.00 269.00
WINTER - OFF 01-01-2014 02-28-2014 959.00 175.00
EARLY SPRING 03-01-2014 03-08-2014 1715.00 295.00
SPRING BREAK 03-09-2014 03-15-2014 2240.00 325.00
SPRING 03-16-2014 04-12-2014 1715.00 295.00
EASTER WEEK 04-13-2014 04-19-2014 2240.00 325.00
LATE SPRING - OFF 04-20-2014 05-22-2014 959.00 175.00
EARLY SUMMER 05-23-2014 06-26-2014 2065.00 295.00
SUMMER 06-27-2014 08-16-2014 2275.00 325.00
LATE SUMMER 08-17-2014 08-31-2014 2065.00 295.00
FALL - OFF 09-01-2014 12-20-2014 959.00 175.00



TEGRA_table_txt_file: table_3246.txt
TEGRA_TABLE_TEXT: CHRISTMAS/NEW YEAR 12-22-2013 12-31-2013 1614.00 269.00
WINTER - OFF 01-01-2014 02-28-2014 959.00 175.00
EARLY SPRING 03-01-2014 03-08-2014 1715.00 295.00
SPRING BREAK 03-09-2014 03-15-2014 2240.00 325.00
SPRING 03-16-2014 04-12-2014 1715.00 295.00
EASTER WEEK 04-13-2014 04-19-2014 2240.00 325.00
LATE SPRING - OFF 04-20-2014 05-22-2014 959.00 175.00
EARLY SUMMER 05-23-2014 06-26-2014 2065.00 295.00
SUMMER 06-27-2014 08-16-2014 2275.00 325.00
LATE SUMMER 08-17-2014 08-31-2014 2065.00 295.00
FALL - OFF 09-01-2014 12-20-2014 959.00 175.00
label: CHRISTMAS/NEW YEAR||12-22-2013||12-31-2013||1614.00||269.00
WINTER - OFF||01-01-2014||02-28-2014||959.00||175.00
EARLY SPRING||03-01-2014||03-08-2014||1715.00||295.00
SPRING BREAK||03-09-2014||03-15-2014||2240.00||325.00
SPRING||03-16-2014||04-12-2014||1715.00||295.00
EASTER WEEK||04-13-2014||04-19-2014||2240.00||325.00
LATE SPRING - OFF||04-20-2014||05-22-2014||959.00||175.00
EARLY SUMMER||05-23-2014||06-26-2014||2065.00||295.00
SUMMER||06-27-2014||08-16-2014||2275.00||325.00
LATE SUMMER||08-17-2014||08-31-2014||2065.00||295.00
FALL - OFF||09-01-2014||12-20-2014||959.00||175.00
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:
Chelsea 8 17
Liverpool 8 17
Man City 8 16
Tottenham 8 16
Southampton 8 15
Everton 8 15
Man Utd 8 11
Hull 8 11
Newcastle 8 11
Swansea 8 10
West Brom 8 10
Aston Villa 8 10
Fulham 8 10
West Ham 8 8
Stoke 8 8
Cardiff 8 8
Norwich 8 7
Crystal Palace 8 3



TEGRA_table_txt_file: table_751.txt
TEGRA_TABLE_TEXT: Chelsea 8 17
Liverpool 8 17
Man City 8 16
Tottenham 8 16
Southampton 8 15
Everton 8 15
Man Utd 8 11
Hull 8 11
Newcastle 8 11
Swansea 8 10
West Brom 8 10
Aston Villa 8 10
Fulham 8 10
West Ham 8 8
Stoke 8 8
Cardiff 8 8
Norwich 8 7
Crystal Palace 8 3
label: Chelsea||8||17
Liverpool||8||17
Man City||8||16
Tottenham||8||16
Southampton||8||15
Everton||8||15
Man Utd||8||11
Hull||8||11
Newcastle||8||11
Swansea||8||10
West Brom||8||10
Aston Villa||8||10
Fulham||8||10
West Ham||8||8
Stoke||8||8
Cardiff||8||8
Norwich||8||7
Crystal Palace||8||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:
$15.01 - $24.99 $4.95 $17.95 $23.95 $43.45
$25.00 - $50.00 $7.95 $17.95 $27.95 $48.45
$50.01 - $74.99 $7.95 $17.95 $31.95 $53.45
$75.00 - $100.00 $9.95 $27.95 $36.95 $62.45
$100.01 - $150.00 $9.95 $27.95 $42.95 $69.45
$150.01 - $200.00 $9.95 $37.95 $49.95 $76.45
$200.01 - $250.00 $9.95 $37.95 $54.95 $83.45
Over $250 $9.95 $47.95 $59.95 $90.95



TEGRA_table_txt_file: table_164.txt
TEGRA_TABLE_TEXT: $15.01 - $24.99 $4.95 $17.95 $23.95 $43.45
$25.00 - $50.00 $7.95 $17.95 $27.95 $48.45
$50.01 - $74.99 $7.95 $17.95 $31.95 $53.45
$75.00 - $100.00 $9.95 $27.95 $36.95 $62.45
$100.01 - $150.00 $9.95 $27.95 $42.95 $69.45
$150.01 - $200.00 $9.95 $37.95 $49.95 $76.45
$200.01 - $250.00 $9.95 $37.95 $54.95 $83.45
Over $250 $9.95 $47.95 $59.95 $90.95
label: $15.01 - $24.99||$4.95||$17.95||$23.95||$43.45
$25.00 - $50.00||$7.95||$17.95||$27.95||$48.45
$50.01 - $74.99||$7.95||$17.95||$31.95||$53.45
$75.00 - $100.00||$9.95||$27.95||$36.95||$62.45
$100.01 - $150.00||$9.95||$27.95||$42.95||$69.45
$150.01 - $200.00||$9.95||$37.95||$49.95||$76.45
$200.01 - $250.00||$9.95||$37.95||$54.95||$83.45
Over $250||$9.95||$47.95||$59.95||$90.95
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 Sandalwood Cl $655,000 4 Normal Sale 04/10/13
1/36 Niland Wy $420,000 3 Normal Sale 02/10/13
18C Kitson Wy $399,950 2 Normal Sale 23/09/13
11 Hilton Cr $595,500 5 Auction 21/09/13
18 Ashcroft Av $10,000 3 Normal Sale 16/09/13
14 Niland Wy $575,000 4 Normal Sale 10/09/13
16 Atlanta Pl $520,000 4 Normal Sale 08/09/13
33 Casula Rd $440,000 3 Auction 07/09/13



TEGRA_table_txt_file: table_8561.txt
TEGRA_TABLE_TEXT: 7 Sandalwood Cl $655,000 4 Normal Sale 04/10/13
1/36 Niland Wy $420,000 3 Normal Sale 02/10/13
18C Kitson Wy $399,950 2 Normal Sale 23/09/13
11 Hilton Cr $595,500 5 Auction 21/09/13
18 Ashcroft Av $10,000 3 Normal Sale 16/09/13
14 Niland Wy $575,000 4 Normal Sale 10/09/13
16 Atlanta Pl $520,000 4 Normal Sale 08/09/13
33 Casula Rd $440,000 3 Auction 07/09/13
label: 7 Sandalwood Cl||$655,000||4||Normal Sale||04/10/13
1/36 Niland Wy||$420,000||3||Normal Sale||02/10/13
18C Kitson Wy||$399,950||2||Normal Sale||23/09/13
11 Hilton Cr||$595,500||5||Auction||21/09/13
18 Ashcroft Av||$10,000||3||Normal Sale||16/09/13
14 Niland Wy||$575,000||4||Normal Sale||10/09/13
16 Atlanta Pl||$520,000||4||Normal Sale||08/09/13
33 Casula Rd||$440,000||3||Auction||07/09/13
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:
arm/OABI a1 a2 a3 a4 v1 v2 v3
arm/EABI r1 r2 r3 r4 r5 r6 r7
blackfin R0 R1 R2 R3 R4 R5 -
i386 ebx ecx edx esi edi ebp -
ia64 r11 r9 r10 r14 r15 r13 -
parisc r26 r25 r24 r23 r22 r21 -
s390 r2 r3 r4 r5 r6 r7 -
s390x r2 r3 r4 r5 r6 r7 -
sparc/32 o0 o1 o2 o3 o4 o5 -
sparc/64 o0 o1 o2 o3 o4 o5 -



TEGRA_table_txt_file: table_3568.txt
TEGRA_TABLE_TEXT: arm/OABI a1 a2 a3 a4 v1 v2 v3
arm/EABI r1 r2 r3 r4 r5 r6 r7
blackfin R0 R1 R2 R3 R4 R5 -
i386 ebx ecx edx esi edi ebp -
ia64 r11 r9 r10 r14 r15 r13 -
parisc r26 r25 r24 r23 r22 r21 -
s390 r2 r3 r4 r5 r6 r7 -
s390x r2 r3 r4 r5 r6 r7 -
sparc/32 o0 o1 o2 o3 o4 o5 -
sparc/64 o0 o1 o2 o3 o4 o5 -
label: arm/OABI||a1||a2||a3||a4||v1||v2||v3
arm/EABI||r1||r2||r3||r4||r5||r6||r7
blackfin||R0||R1||R2||R3||R4||R5||-
i386||ebx||ecx||edx||esi||edi||ebp||-
ia64||r11||r9||r10||r14||r15||r13||-
parisc||r26||r25||r24||r23||r22||r21||-
s390||r2||r3||r4||r5||r6||r7||-
s390x||r2||r3||r4||r5||r6||r7||-
sparc/32||o0||o1||o2||o3||o4||o5||-
sparc/64||o0||o1||o2||o3||o4||o5||-
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 Rabbitohs 24 18 6 40
3 Storm 24 16 7 37
4 Sea Eagles 24 15 8 35
5 Sharks 24 14 10 32
6 Bulldogs 24 13 11 30
7 Knights 24 12 11 29
8 Cowboys 24 12 12 28
9 Titans 24 11 13 26
10 Panthers 24 11 13 26
11 Warriors 24 11 13 26
12 Broncos 24 10 13 25
13 Raiders 24 10 14 24
14 Dragons 24 7 17 18
15 Tigers 24 7 17 18



TEGRA_table_txt_file: table_4840.txt
TEGRA_TABLE_TEXT: 2 Rabbitohs 24 18 6 40
3 Storm 24 16 7 37
4 Sea Eagles 24 15 8 35
5 Sharks 24 14 10 32
6 Bulldogs 24 13 11 30
7 Knights 24 12 11 29
8 Cowboys 24 12 12 28
9 Titans 24 11 13 26
10 Panthers 24 11 13 26
11 Warriors 24 11 13 26
12 Broncos 24 10 13 25
13 Raiders 24 10 14 24
14 Dragons 24 7 17 18
15 Tigers 24 7 17 18
label: 2||Rabbitohs||24||18||6||40
3||Storm||24||16||7||37
4||Sea Eagles||24||15||8||35
5||Sharks||24||14||10||32
6||Bulldogs||24||13||11||30
7||Knights||24||12||11||29
8||Cowboys||24||12||12||28
9||Titans||24||11||13||26
10||Panthers||24||11||13||26
11||Warriors||24||11||13||26
12||Broncos||24||10||13||25
13||Raiders||24||10||14||24
14||Dragons||24||7||17||18
15||Tigers||24||7||17||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:
 Cal 209 388 Iodine mcg 50 93
Protein g 17.5 32.4 Magnesium mg 120 222
Fat, total g 4.5 8.3 Zinc mg 5.4 10
- saturated g 1.8 3.3 Copper mg 0.5 0.93
Carbohydrate g 22.5 41.7 Biotin mcg 10 19
- sugars g 9.1 15.8 Pantothenic Acid mg 2.4 4.4
Sodium mg CHECK CHECK Vitamin K mcg 25 46
Potassium mg 775 1435 Chloride mg 1100 2037
Vitamin A mcg 330 661 Manganese mg 0.5 0.9
Vitamin C mg CHECK CHECK Selenium mcg 30 56
Thiamine mg 0.54 1 Chromium mcg 50 93
Riboflavin mg 0.67 1.2 Molybdenum mcg 30 56
Niacin mg 6 11.1 Folic Acid mcg 100 185
Calcium mg 500 926 Vitamin B6 mg 0.67 1.2
Iron mg 6 11 Vitamin B12 mcg 1 2.17
Vitamin D mcg 1.7 3.1 Vitamin E mg 8 15



TEGRA_table_txt_file: table_8270.txt
TEGRA_TABLE_TEXT:  Cal 209 388 Iodine mcg 50 93
Protein g 17.5 32.4 Magnesium mg 120 222
Fat, total g 4.5 8.3 Zinc mg 5.4 10
- saturated g 1.8 3.3 Copper mg 0.5 0.93
Carbohydrate g 22.5 41.7 Biotin mcg 10 19
- sugars g 9.1 15.8 Pantothenic Acid mg 2.4 4.4
Sodium mg CHECK CHECK Vitamin K mcg 25 46
Potassium mg 775 1435 Chloride mg 1100 2037
Vitamin A mcg 330 661 Manganese mg 0.5 0.9
Vitamin C mg CHECK CHECK Selenium mcg 30 56
Thiamine mg 0.54 1 Chromium mcg 50 93
Riboflavin mg 0.67 1.2 Molybdenum mcg 30 56
Niacin mg 6 11.1 Folic Acid mcg 100 185
Calcium mg 500 926 Vitamin B6 mg 0.67 1.2
Iron mg 6 11 Vitamin B12 mcg 1 2.17
Vitamin D mcg 1.7 3.1 Vitamin E mg 8 15
label: ||Cal||209||388||Iodine||mcg||50||93
Protein||g||17.5||32.4||Magnesium||mg||120||222
Fat, total||g||4.5||8.3||Zinc||mg||5.4||10
- saturated||g||1.8||3.3||Copper||mg||0.5||0.93
Carbohydrate||g||22.5||41.7||Biotin||mcg||10||19
- sugars||g||9.1||15.8||Pantothenic Acid||mg||2.4||4.4
Sodium||mg||CHECK||CHECK||Vitamin K||mcg||25||46
Potassium||mg||775||1435||Chloride||mg||1100||2037
Vitamin A||mcg||330||661||Manganese||mg||0.5||0.9
Vitamin C||mg||CHECK||CHECK||Selenium||mcg||30||56
Thiamine||mg||0.54||1||Chromium||mcg||50||93
Riboflavin||mg||0.67||1.2||Molybdenum||mcg||30||56
Niacin||mg||6||11.1||Folic Acid||mcg||100||185
Calcium||mg||500||926||Vitamin B6||mg||0.67||1.2
Iron||mg||6||11||Vitamin B12||mcg||1||2.17
Vitamin D||mcg||1.7||3.1||Vitamin E||mg||8||15