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:
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_712.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:
Crests 2004 Personal Essay
Belonging 2003 Personal Essay
At Bay 2004 Short Story
Room for Solomon 2002 Short Story
A Wheelchair, Faith, and Chin-ups 2000 Short Story
Jana's Secret 1999 Short Story
Deirdre's Secret 1998 Short Story



TEGRA_table_txt_file: table_1477.txt
TEGRA_TABLE_TEXT: Crests 2004 Personal Essay
Belonging 2003 Personal Essay
At Bay 2004 Short Story
Room for Solomon 2002 Short Story
A Wheelchair, Faith, and Chin-ups 2000 Short Story
Jana's Secret 1999 Short Story
Deirdre's Secret 1998 Short Story
label: Crests||2004||Personal Essay
Belonging||2003||Personal Essay
At Bay||2004||Short Story
Room for Solomon||2002||Short Story
A Wheelchair, Faith, and Chin-ups||2000||Short Story
Jana's Secret||1999||Short Story
Deirdre's Secret||1998||Short Story
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:
Le 07/11/2013 L'empreinte, Savigny Le Temple Cedex En savoir plus
Le 08/11/2013 File 7, Magny Le Hongre En savoir plus
Le 21/11/2013 La Bobine, Grenoble En savoir plus
Du 28/11/2013 au 21/02/2014 Hangar 23, Rouen En savoir plus
Le 02/12/2013 Le Bataclan, Paris 11 En savoir plus



TEGRA_table_txt_file: table_4632.txt
TEGRA_TABLE_TEXT: Le 07/11/2013 L'empreinte, Savigny Le Temple Cedex En savoir plus
Le 08/11/2013 File 7, Magny Le Hongre En savoir plus
Le 21/11/2013 La Bobine, Grenoble En savoir plus
Du 28/11/2013 au 21/02/2014 Hangar 23, Rouen En savoir plus
Le 02/12/2013 Le Bataclan, Paris 11 En savoir plus
label: Le 07/11/2013||L'empreinte, Savigny Le Temple Cedex||En savoir plus
Le 08/11/2013||File 7, Magny Le Hongre||En savoir plus
Le 21/11/2013||La Bobine, Grenoble||En savoir plus
Du 28/11/2013 au 21/02/2014||Hangar 23, Rouen||En savoir plus
Le 02/12/2013||Le Bataclan, Paris 11||En savoir plus
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:
Multiple Sites    
Disk space Unlimited 10GB 150GB Unlimited
Email Storage Unlimited 100MB 500MB 1GB
PHP 5.2.17 & 5.3.10 5.2.x 5.2.x 5.2.x
Python    
Perl    
MySQL Unlimited 10x1GB 25x1GB Unlimitedx1GB
Google AdWords Credit $75 $100 $100 $100



TEGRA_table_txt_file: table_3268.txt
TEGRA_TABLE_TEXT: Multiple Sites    
Disk space Unlimited 10GB 150GB Unlimited
Email Storage Unlimited 100MB 500MB 1GB
PHP 5.2.17 & 5.3.10 5.2.x 5.2.x 5.2.x
Python    
Perl    
MySQL Unlimited 10x1GB 25x1GB Unlimitedx1GB
Google AdWords Credit $75 $100 $100 $100
label: Multiple Sites||||||||
Disk space||Unlimited||10GB||150GB||Unlimited
Email Storage||Unlimited||100MB||500MB||1GB
PHP||5.2.17 & 5.3.10||5.2.x||5.2.x||5.2.x
Python||||||||
Perl||||||||
MySQL||Unlimited||10x1GB||25x1GB||Unlimitedx1GB
Google AdWords Credit||$75||$100||$100||$100
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:
MILITARY KNIFE 1 OZ. POUCH HONORS HONORS 1 OZ. POUCH - -
RETIRED MILITARY SHOTGUN KNIFE 1/2 OZ. HONORS HONORS KNIFE 1/2 OZ. KNIFE 1/2 OZ.
MILITARY VETERAN KNIFE 1 OZ. POUCH HONORS HONORS 1 OZ. POUCH - -
TRI-SUB KNIFE 1 OZ. POUCH HONORS HONORS 1 OZ. POUCH - -
SUB SUB SR. KNIFE 1 OZ. POUCH HONORS HONORS 1 OZ. POUCH - -
SUB SR. KNIFE 1 OZ. POUCH HONORS HONORS 1 OZ. POUCH - -
SENIOR KNIFE 1 OZ. POUCH HONORS HONORS 1 OZ. POUCH - -
VETERAN KNIFE 1 OZ. POUCH - - - - - -
SR VETERAN POUCH - - - - - - - -
REFEREE KNIFE - - 1 OZ. POUCH 1 OZ. POUCH - -
LADY HONORS HONORS HONORS - - - - - -



TEGRA_table_txt_file: table_1295.txt
TEGRA_TABLE_TEXT: MILITARY KNIFE 1 OZ. POUCH HONORS HONORS 1 OZ. POUCH - -
RETIRED MILITARY SHOTGUN KNIFE 1/2 OZ. HONORS HONORS KNIFE 1/2 OZ. KNIFE 1/2 OZ.
MILITARY VETERAN KNIFE 1 OZ. POUCH HONORS HONORS 1 OZ. POUCH - -
TRI-SUB KNIFE 1 OZ. POUCH HONORS HONORS 1 OZ. POUCH - -
SUB SUB SR. KNIFE 1 OZ. POUCH HONORS HONORS 1 OZ. POUCH - -
SUB SR. KNIFE 1 OZ. POUCH HONORS HONORS 1 OZ. POUCH - -
SENIOR KNIFE 1 OZ. POUCH HONORS HONORS 1 OZ. POUCH - -
VETERAN KNIFE 1 OZ. POUCH - - - - - -
SR VETERAN POUCH - - - - - - - -
REFEREE KNIFE - - 1 OZ. POUCH 1 OZ. POUCH - -
LADY HONORS HONORS HONORS - - - - - -
label: MILITARY||KNIFE||1 OZ.||POUCH||HONORS||HONORS||1 OZ.||POUCH||-||-
RETIRED MILITARY||SHOTGUN||KNIFE||1/2 OZ.||HONORS||HONORS||KNIFE||1/2 OZ.||KNIFE||1/2 OZ.
MILITARY VETERAN||KNIFE||1 OZ.||POUCH||HONORS||HONORS||1 OZ.||POUCH||-||-
TRI-SUB||KNIFE||1 OZ.||POUCH||HONORS||HONORS||1 OZ.||POUCH||-||-
SUB SUB SR.||KNIFE||1 OZ.||POUCH||HONORS||HONORS||1 OZ.||POUCH||-||-
SUB SR.||KNIFE||1 OZ.||POUCH||HONORS||HONORS||1 OZ.||POUCH||-||-
SENIOR||KNIFE||1 OZ.||POUCH||HONORS||HONORS||1 OZ.||POUCH||-||-
VETERAN||KNIFE||1 OZ.||POUCH||-||-||-||-||-||-
SR VETERAN||POUCH||-||-||-||-||-||-||-||-
REFEREE||KNIFE||-||-||1 OZ.||POUCH||1 OZ.||POUCH||-||-
LADY||HONORS||HONORS||HONORS||-||-||-||-||-||-
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:
170gsm paper A4 COPIES A3 COPIES  
QTY - Colours Black & White Full Colour Black & white Full Colour
1 - 10 22p #2.20 55p #4.40
11 - 49 21p #1.76 42p #3.85
50 - 99 20p #1.54 40p #2.75
100 - 249 18p #1.32 35p #2.20
250 - 499 17p #1.22 33p #1.65
500 - 999 15p 99p 29p #1.43
1000 - 2499 13p 88p 26p #1.21
2500 - 4999 12p 77p 24p #1.10
5000 - 7499 11p 66p 22p 99p
7500 - 9999 9p 55p 20p 88p



TEGRA_table_txt_file: table_546.txt
TEGRA_TABLE_TEXT: 170gsm paper A4 COPIES A3 COPIES  
QTY - Colours Black & White Full Colour Black & white Full Colour
1 - 10 22p #2.20 55p #4.40
11 - 49 21p #1.76 42p #3.85
50 - 99 20p #1.54 40p #2.75
100 - 249 18p #1.32 35p #2.20
250 - 499 17p #1.22 33p #1.65
500 - 999 15p 99p 29p #1.43
1000 - 2499 13p 88p 26p #1.21
2500 - 4999 12p 77p 24p #1.10
5000 - 7499 11p 66p 22p 99p
7500 - 9999 9p 55p 20p 88p
label: 170gsm paper||A4 COPIES||A3 COPIES||||
QTY - Colours||Black & White||Full Colour||Black & white||Full Colour
1 - 10||22p||#2.20||55p||#4.40
11 - 49||21p||#1.76||42p||#3.85
50 - 99||20p||#1.54||40p||#2.75
100 - 249||18p||#1.32||35p||#2.20
250 - 499||17p||#1.22||33p||#1.65
500 - 999||15p||99p||29p||#1.43
1000 - 2499||13p||88p||26p||#1.21
2500 - 4999||12p||77p||24p||#1.10
5000 - 7499||11p||66p||22p||99p
7500 - 9999||9p||55p||20p||88p
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:
SEASON TEAM TPA PIT P/PA TB SF SH HBP IBB GDP GB FB G/F OWAR WAR
2004 DET 28 112 4.00 9 0 0 0 0 1 10 7 1.43 0.0 -0.1
2005 DET 174 716 4.11 80 0 2 0 0 2 59 62 0.95 0.7 2.1
2006 DET 679 2787 4.10 261 6 7 4 0 4 182 253 0.72 2.6 2.9
2007 DET 676 2692 3.98 338 2 5 5 3 3 174 304 0.57 5.8 7.2
2008 DET 629 2678 4.26 273 1 1 3 1 7 182 262 0.69 4.6 3.6
2009 DET 710 2813 3.96 286 2 3 2 4 1 161 334 0.48 3.0 4.1
2010 NYY 528 2176 4.12 218 3 4 2 3 3 124 233 0.53 2.8 4.1
2011 NYY 691 3069 4.44 322 7 4 12 0 12 155 268 0.58 6.0 5.3
2012 NYY 684 2921 4.27 293 7 1 5 4 5 143 266 0.54 3.9 2.7
2013 NYY 245 978 3.99 87 1 2 1 1 1 57 91 0.63 0.8 1.1



TEGRA_table_txt_file: table_529.txt
TEGRA_TABLE_TEXT: SEASON TEAM TPA PIT P/PA TB SF SH HBP IBB GDP GB FB G/F OWAR WAR
2004 DET 28 112 4.00 9 0 0 0 0 1 10 7 1.43 0.0 -0.1
2005 DET 174 716 4.11 80 0 2 0 0 2 59 62 0.95 0.7 2.1
2006 DET 679 2787 4.10 261 6 7 4 0 4 182 253 0.72 2.6 2.9
2007 DET 676 2692 3.98 338 2 5 5 3 3 174 304 0.57 5.8 7.2
2008 DET 629 2678 4.26 273 1 1 3 1 7 182 262 0.69 4.6 3.6
2009 DET 710 2813 3.96 286 2 3 2 4 1 161 334 0.48 3.0 4.1
2010 NYY 528 2176 4.12 218 3 4 2 3 3 124 233 0.53 2.8 4.1
2011 NYY 691 3069 4.44 322 7 4 12 0 12 155 268 0.58 6.0 5.3
2012 NYY 684 2921 4.27 293 7 1 5 4 5 143 266 0.54 3.9 2.7
2013 NYY 245 978 3.99 87 1 2 1 1 1 57 91 0.63 0.8 1.1
label: SEASON||TEAM||TPA||PIT||P/PA||TB||SF||SH||HBP||IBB||GDP||GB||FB||G/F||OWAR||WAR
2004||DET||28||112||4.00||9||0||0||0||0||1||10||7||1.43||0.0||-0.1
2005||DET||174||716||4.11||80||0||2||0||0||2||59||62||0.95||0.7||2.1
2006||DET||679||2787||4.10||261||6||7||4||0||4||182||253||0.72||2.6||2.9
2007||DET||676||2692||3.98||338||2||5||5||3||3||174||304||0.57||5.8||7.2
2008||DET||629||2678||4.26||273||1||1||3||1||7||182||262||0.69||4.6||3.6
2009||DET||710||2813||3.96||286||2||3||2||4||1||161||334||0.48||3.0||4.1
2010||NYY||528||2176||4.12||218||3||4||2||3||3||124||233||0.53||2.8||4.1
2011||NYY||691||3069||4.44||322||7||4||12||0||12||155||268||0.58||6.0||5.3
2012||NYY||684||2921||4.27||293||7||1||5||4||5||143||266||0.54||3.9||2.7
2013||NYY||245||978||3.99||87||1||2||1||1||1||57||91||0.63||0.8||1.1
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:
2 Manchester United 38 28 5 5 56 89
3 Arsenal 38 21 7 10 25 70
4 Tottenham Hotspur 38 20 9 9 25 69
5 Newcastle United 38 19 8 11 5 65
6 Chelsea 38 18 10 10 19 64
7 Everton 38 15 11 12 10 56
8 Liverpool 38 14 10 14 7 52
9 Fulham 38 14 10 14 -3 52
10 West Bromwich Albion 38 13 8 17 -7 47
11 Swansea City 38 12 11 15 -7 47
12 Norwich City 38 12 11 15 -14 47
13 Sunderland 38 11 12 15 -1 45
14 Stoke City 38 11 12 15 -17 45
15 Wigan Athletic 38 11 10 17 -20 43
16 Aston Villa 38 7 17 14 -16 38
17 Queens Park Rangers 38 10 7 21 -23 37
18 Bolton Wanderers 38 10 6 22 -31 36
19 Blackburn Rovers 38 8 7 23 -30 31



TEGRA_table_txt_file: table_9926.txt
TEGRA_TABLE_TEXT: 2 Manchester United 38 28 5 5 56 89
3 Arsenal 38 21 7 10 25 70
4 Tottenham Hotspur 38 20 9 9 25 69
5 Newcastle United 38 19 8 11 5 65
6 Chelsea 38 18 10 10 19 64
7 Everton 38 15 11 12 10 56
8 Liverpool 38 14 10 14 7 52
9 Fulham 38 14 10 14 -3 52
10 West Bromwich Albion 38 13 8 17 -7 47
11 Swansea City 38 12 11 15 -7 47
12 Norwich City 38 12 11 15 -14 47
13 Sunderland 38 11 12 15 -1 45
14 Stoke City 38 11 12 15 -17 45
15 Wigan Athletic 38 11 10 17 -20 43
16 Aston Villa 38 7 17 14 -16 38
17 Queens Park Rangers 38 10 7 21 -23 37
18 Bolton Wanderers 38 10 6 22 -31 36
19 Blackburn Rovers 38 8 7 23 -30 31
label: 2||Manchester United||38||28||5||5||56||89
3||Arsenal||38||21||7||10||25||70
4||Tottenham Hotspur||38||20||9||9||25||69
5||Newcastle United||38||19||8||11||5||65
6||Chelsea||38||18||10||10||19||64
7||Everton||38||15||11||12||10||56
8||Liverpool||38||14||10||14||7||52
9||Fulham||38||14||10||14||-3||52
10||West Bromwich Albion||38||13||8||17||-7||47
11||Swansea City||38||12||11||15||-7||47
12||Norwich City||38||12||11||15||-14||47
13||Sunderland||38||11||12||15||-1||45
14||Stoke City||38||11||12||15||-17||45
15||Wigan Athletic||38||11||10||17||-20||43
16||Aston Villa||38||7||17||14||-16||38
17||Queens Park Rangers||38||10||7||21||-23||37
18||Bolton Wanderers||38||10||6||22||-31||36
19||Blackburn Rovers||38||8||7||23||-30||31
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
65 - 69 36 S 61 24
10 - 74 38 M 66 26
75 - 79 40 L 71 28
80 - 84 42 XL 76 30
85 - 90 44 2XL 81 32
91 - 96 46 3XL 86 34
97 - 102 48 4XL 91 36
103 - 109 50 5XL 96 38
110 - 116 52 6XL 101 40
117 - 123 54 7XL 106 42
124 - 130 56 8XL 111 44



TEGRA_table_txt_file: table_4235.txt
TEGRA_TABLE_TEXT: 65 - 69 36 S 61 24
10 - 74 38 M 66 26
75 - 79 40 L 71 28
80 - 84 42 XL 76 30
85 - 90 44 2XL 81 32
91 - 96 46 3XL 86 34
97 - 102 48 4XL 91 36
103 - 109 50 5XL 96 38
110 - 116 52 6XL 101 40
117 - 123 54 7XL 106 42
124 - 130 56 8XL 111 44
label: 65 - 69||36||S||61||24
10 - 74||38||M||66||26
75 - 79||40||L||71||28
80 - 84||42||XL||76||30
85 - 90||44||2XL||81||32
91 - 96||46||3XL||86||34
97 - 102||48||4XL||91||36
103 - 109||50||5XL||96||38
110 - 116||52||6XL||101||40
117 - 123||54||7XL||106||42
124 - 130||56||8XL||111||44
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:
Brandon Kaufman 2 45 0 27
Chris Hogan 4 34 0 15
Robert Woods 1 22 0 22
DeMarco Sampson 2 18 0 9
Marquise Goodwin 2 14 0 10
Chris Gragg 1 11 0 11
Brad Smith 2 11 1 7
Zach Brown 2 10 0 7
Frank Summers 2 7 0 5
Da'Rick Rogers 1 6 0 6
Tashard Choice 2 2 0 2



TEGRA_table_txt_file: table_2866.txt
TEGRA_TABLE_TEXT: Brandon Kaufman 2 45 0 27
Chris Hogan 4 34 0 15
Robert Woods 1 22 0 22
DeMarco Sampson 2 18 0 9
Marquise Goodwin 2 14 0 10
Chris Gragg 1 11 0 11
Brad Smith 2 11 1 7
Zach Brown 2 10 0 7
Frank Summers 2 7 0 5
Da'Rick Rogers 1 6 0 6
Tashard Choice 2 2 0 2
label: Brandon Kaufman||2||45||0||27
Chris Hogan||4||34||0||15
Robert Woods||1||22||0||22
DeMarco Sampson||2||18||0||9
Marquise Goodwin||2||14||0||10
Chris Gragg||1||11||0||11
Brad Smith||2||11||1||7
Zach Brown||2||10||0||7
Frank Summers||2||7||0||5
Da'Rick Rogers||1||6||0||6
Tashard Choice||2||2||0||2
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
Health Pharmacy Service Deficiencies Isolated Actual harm 02/25/2013 03/31/2013
Health Quality Care Deficiencies Isolated Actual harm 02/25/2013 03/31/2013
Health Environmental Deficiencies Isolated Actual harm 09/30/2011 12/05/2011
Health Environmental Deficiencies Isolated Actual harm 09/30/2011 12/05/2011
Health Quality Care Deficiencies Isolated Actual harm 09/30/2011 12/05/2011
Health Resident Assessment Deficiencies Isolated Actual harm 09/30/2011 12/05/2011
Health Resident Rights Deficiencies Isolated Actual harm 09/30/2011 12/05/2011
Health Mistreatment Deficiencies Isolated Actual harm 09/30/2011 12/05/2011



TEGRA_table_txt_file: table_1580.txt
TEGRA_TABLE_TEXT: Health Pharmacy Service Deficiencies Isolated Actual harm 02/25/2013 03/31/2013
Health Quality Care Deficiencies Isolated Actual harm 02/25/2013 03/31/2013
Health Environmental Deficiencies Isolated Actual harm 09/30/2011 12/05/2011
Health Environmental Deficiencies Isolated Actual harm 09/30/2011 12/05/2011
Health Quality Care Deficiencies Isolated Actual harm 09/30/2011 12/05/2011
Health Resident Assessment Deficiencies Isolated Actual harm 09/30/2011 12/05/2011
Health Resident Rights Deficiencies Isolated Actual harm 09/30/2011 12/05/2011
Health Mistreatment Deficiencies Isolated Actual harm 09/30/2011 12/05/2011
label: Health||Pharmacy Service Deficiencies||Isolated||Actual harm||02/25/2013||03/31/2013
Health||Quality Care Deficiencies||Isolated||Actual harm||02/25/2013||03/31/2013
Health||Environmental Deficiencies||Isolated||Actual harm||09/30/2011||12/05/2011
Health||Environmental Deficiencies||Isolated||Actual harm||09/30/2011||12/05/2011
Health||Quality Care Deficiencies||Isolated||Actual harm||09/30/2011||12/05/2011
Health||Resident Assessment Deficiencies||Isolated||Actual harm||09/30/2011||12/05/2011
Health||Resident Rights Deficiencies||Isolated||Actual harm||09/30/2011||12/05/2011
Health||Mistreatment Deficiencies||Isolated||Actual harm||09/30/2011||12/05/2011
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:
Architecture G80 G84 G73 NV43
Manufacturing Process 0.09 Micron 0.08 Micron 0.09 Micron 0.11 Micron
Transistor Count 681 Million 289 Million 177 Million 146 Million
DirectX Support 10 10 9.0c 9.0c
Interface PCI Express PCI Express PCIe AGP/PCIe
Stream Processors 128 32 - -
Vertex Shaders - - 5 3
Vertex Shader Version 4.0 4.0 3.0 3.0
Pixel Shaders - - 12 8
Pixel Shader Version 4.0 4.0 3.0 3.0
ROPs 24 8 8 4
Core Speed 575 MHz 675 MHz 560 MHz 500 MHz
Fill Rate 36,800 MTexels/s 10,800 MTexels/s 6,720 MTexels/s 4,000 MTexels/s
Memory Bus Width 384-bits 128-bits 128-bits 128-bits
Memory Type GDDR3 GDDR3 GDDR3 GDDR3
Memory Speed 900 MHz 1000 MHz 700 MHz 500 MHz



TEGRA_table_txt_file: table_1529.txt
TEGRA_TABLE_TEXT: Architecture G80 G84 G73 NV43
Manufacturing Process 0.09 Micron 0.08 Micron 0.09 Micron 0.11 Micron
Transistor Count 681 Million 289 Million 177 Million 146 Million
DirectX Support 10 10 9.0c 9.0c
Interface PCI Express PCI Express PCIe AGP/PCIe
Stream Processors 128 32 - -
Vertex Shaders - - 5 3
Vertex Shader Version 4.0 4.0 3.0 3.0
Pixel Shaders - - 12 8
Pixel Shader Version 4.0 4.0 3.0 3.0
ROPs 24 8 8 4
Core Speed 575 MHz 675 MHz 560 MHz 500 MHz
Fill Rate 36,800 MTexels/s 10,800 MTexels/s 6,720 MTexels/s 4,000 MTexels/s
Memory Bus Width 384-bits 128-bits 128-bits 128-bits
Memory Type GDDR3 GDDR3 GDDR3 GDDR3
Memory Speed 900 MHz 1000 MHz 700 MHz 500 MHz
label: Architecture||G80||G84||G73||NV43
Manufacturing Process||0.09 Micron||0.08 Micron||0.09 Micron||0.11 Micron
Transistor Count||681 Million||289 Million||177 Million||146 Million
DirectX Support||10||10||9.0c||9.0c
Interface||PCI Express||PCI Express||PCIe||AGP/PCIe
Stream Processors||128||32||-||-
Vertex Shaders||-||-||5||3
Vertex Shader Version||4.0||4.0||3.0||3.0
Pixel Shaders||-||-||12||8
Pixel Shader Version||4.0||4.0||3.0||3.0
ROPs||24||8||8||4
Core Speed||575 MHz||675 MHz||560 MHz||500 MHz
Fill Rate||36,800 MTexels/s||10,800 MTexels/s||6,720 MTexels/s||4,000 MTexels/s
Memory Bus Width||384-bits||128-bits||128-bits||128-bits
Memory Type||GDDR3||GDDR3||GDDR3||GDDR3
Memory Speed||900 MHz||1000 MHz||700 MHz||500 MHz
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:
Angola 6 5 - 4  4 -  4 - -
Argentina 2  - - - - - - -  
Australia 6  6 - -    -  
Brasil 1 - 4 - - - - - - - 
China 9 4 5     4   
Eslovenia 2 - -  - -  - - - -
Estados Unidos 1 - -  - - - - - - -
Francia 1 -  - - - - - - - 
Grecia 1 -  - - - - - - - -
Irán 1 - - - - - 4 - - - 
Lituania 1  - - - - - - - - -
Nueva Zelanda 2 - - 5 - - - -  - -
Puerto Rico 1 6 - - - - - - - - -
Rusia 4 - - - 4 - -   4 -
Serbia 1 - - -  - - - - - -
Túnez 1 - - - - - - - -  
Turquía 1 - - - -  - - - - -



TEGRA_table_txt_file: table_9133.txt
TEGRA_TABLE_TEXT: Angola 6 5 - 4  4 -  4 - -
Argentina 2  - - - - - - -  
Australia 6  6 - -    -  
Brasil 1 - 4 - - - - - - - 
China 9 4 5     4   
Eslovenia 2 - -  - -  - - - -
Estados Unidos 1 - -  - - - - - - -
Francia 1 -  - - - - - - - 
Grecia 1 -  - - - - - - - -
Irán 1 - - - - - 4 - - - 
Lituania 1  - - - - - - - - -
Nueva Zelanda 2 - - 5 - - - -  - -
Puerto Rico 1 6 - - - - - - - - -
Rusia 4 - - - 4 - -   4 -
Serbia 1 - - -  - - - - - -
Túnez 1 - - - - - - - -  
Turquía 1 - - - -  - - - - -
label: Angola||6||5||-||4||||4||-||||4||-||-
Argentina||2||||-||-||-||-||-||-||-||||
Australia||6||||6||-||-||||||||-||||
Brasil||1||-||4||-||-||-||-||-||-||-||
China||9||4||5||||||||||4||||||
Eslovenia||2||-||-||||-||-||||-||-||-||-
Estados Unidos||1||-||-||||-||-||-||-||-||-||-
Francia||1||-||||-||-||-||-||-||-||-||
Grecia||1||-||||-||-||-||-||-||-||-||-
Irán||1||-||-||-||-||-||4||-||-||-||
Lituania||1||||-||-||-||-||-||-||-||-||-
Nueva Zelanda||2||-||-||5||-||-||-||-||||-||-
Puerto Rico||1||6||-||-||-||-||-||-||-||-||-
Rusia||4||-||-||-||4||-||-||||||4||-
Serbia||1||-||-||-||||-||-||-||-||-||-
Túnez||1||-||-||-||-||-||-||-||-||||
Turquía||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:
NO NAME POS HT WT CLASS HOMETOWN
11 Keith Appling G 6-1 185 SR Detroit, MI
13 Trevor Bohnhoff F 6-7 215 SO Saginaw, MI
0 Russell Byrd G 6-7 205 JR Fort Wayne, IN
40 Dan Chapman G 6-3 190 SR Okemos, MI
10 Matt Costello F 6-9 240 SO Bay City, MI
22 Branden Dawson G-F 6-6 225 JR Gary, IN
3 Alvin Ellis III F 6-4 195 FR Matteson, IL
2 Alex Gauna F 6-9 250 JR Eaton Rapids, MI
14 Gary Harris G 6-4 210 SO Fishers, IN
30 Kenny Kaminski F 6-8 225 FR Medina, OH
5 Adreian Payne F 6-10 245 SR Dayton, OH
34 Gavin Schilling F 6-9 240 FR Chicago, IL
20 Travis Trice G 6-0 170 JR Huber Heights, OH
45 Denzel Valentine G 6-5 225 SO Lansing, MI
15 Keenan Wetzel G 6-4 210 JR Monroe, MI



TEGRA_table_txt_file: table_5572.txt
TEGRA_TABLE_TEXT: NO NAME POS HT WT CLASS HOMETOWN
11 Keith Appling G 6-1 185 SR Detroit, MI
13 Trevor Bohnhoff F 6-7 215 SO Saginaw, MI
0 Russell Byrd G 6-7 205 JR Fort Wayne, IN
40 Dan Chapman G 6-3 190 SR Okemos, MI
10 Matt Costello F 6-9 240 SO Bay City, MI
22 Branden Dawson G-F 6-6 225 JR Gary, IN
3 Alvin Ellis III F 6-4 195 FR Matteson, IL
2 Alex Gauna F 6-9 250 JR Eaton Rapids, MI
14 Gary Harris G 6-4 210 SO Fishers, IN
30 Kenny Kaminski F 6-8 225 FR Medina, OH
5 Adreian Payne F 6-10 245 SR Dayton, OH
34 Gavin Schilling F 6-9 240 FR Chicago, IL
20 Travis Trice G 6-0 170 JR Huber Heights, OH
45 Denzel Valentine G 6-5 225 SO Lansing, MI
15 Keenan Wetzel G 6-4 210 JR Monroe, MI
label: NO||NAME||POS||HT||WT||CLASS||HOMETOWN
11||Keith Appling||G||6-1||185||SR||Detroit, MI
13||Trevor Bohnhoff||F||6-7||215||SO||Saginaw, MI
0||Russell Byrd||G||6-7||205||JR||Fort Wayne, IN
40||Dan Chapman||G||6-3||190||SR||Okemos, MI
10||Matt Costello||F||6-9||240||SO||Bay City, MI
22||Branden Dawson||G-F||6-6||225||JR||Gary, IN
3||Alvin Ellis III||F||6-4||195||FR||Matteson, IL
2||Alex Gauna||F||6-9||250||JR||Eaton Rapids, MI
14||Gary Harris||G||6-4||210||SO||Fishers, IN
30||Kenny Kaminski||F||6-8||225||FR||Medina, OH
5||Adreian Payne||F||6-10||245||SR||Dayton, OH
34||Gavin Schilling||F||6-9||240||FR||Chicago, IL
20||Travis Trice||G||6-0||170||JR||Huber Heights, OH
45||Denzel Valentine||G||6-5||225||SO||Lansing, MI
15||Keenan Wetzel||G||6-4||210||JR||Monroe, MI
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
 % % % % % %
2011 Oct 6-9 2 4 18 62 13 *
2010 Oct 7-10 2 4 18 62 14 *
2009 Oct 1-4 1 3 17 61 17 *
2008 Oct 3-5 2 4 20 59 15 *
2007 Oct 4-7 2 4 18 62 15 *
2006 Oct 9-12 3 5 17 61 14 *
2005 Oct 13-16 2 4 18 64 12 *
2004 Oct 11-14 1 4 16 67 12 *
2003 Oct 6-8 3 6 20 56 15 *
2002 Oct 14-17 2 4 18 61 14 1
2001 Oct 11-14 2 5 18 62 13 *



TEGRA_table_txt_file: table_8092.txt
TEGRA_TABLE_TEXT:  % % % % % %
2011 Oct 6-9 2 4 18 62 13 *
2010 Oct 7-10 2 4 18 62 14 *
2009 Oct 1-4 1 3 17 61 17 *
2008 Oct 3-5 2 4 20 59 15 *
2007 Oct 4-7 2 4 18 62 15 *
2006 Oct 9-12 3 5 17 61 14 *
2005 Oct 13-16 2 4 18 64 12 *
2004 Oct 11-14 1 4 16 67 12 *
2003 Oct 6-8 3 6 20 56 15 *
2002 Oct 14-17 2 4 18 61 14 1
2001 Oct 11-14 2 5 18 62 13 *
label: ||%||%||%||%||%||%
2011 Oct 6-9||2||4||18||62||13||*
2010 Oct 7-10||2||4||18||62||14||*
2009 Oct 1-4||1||3||17||61||17||*
2008 Oct 3-5||2||4||20||59||15||*
2007 Oct 4-7||2||4||18||62||15||*
2006 Oct 9-12||3||5||17||61||14||*
2005 Oct 13-16||2||4||18||64||12||*
2004 Oct 11-14||1||4||16||67||12||*
2003 Oct 6-8||3||6||20||56||15||*
2002 Oct 14-17||2||4||18||61||14||1
2001 Oct 11-14||2||5||18||62||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 Mark Cavendish (GBR) Team High Road s.t.
3 Daniele Bennati (ITA) Liquigas s.t.
4 Erik Zabel (GER) Team Milram s.t.
5 Assan Bazayev (KAZ) Astana s.t.
6 Alexandre Usov (BLR) Ag2r-La Mondiale s.t.
7 Enrico Gasparotto (ITA) Barloworld s.t.
8 Bram De Groot (NED) Rabobank s.t.
9 Alexander Serov (RUS) Tinkoff Credit Systems s.t.



TEGRA_table_txt_file: table_4788.txt
TEGRA_TABLE_TEXT: 2 Mark Cavendish (GBR) Team High Road s.t.
3 Daniele Bennati (ITA) Liquigas s.t.
4 Erik Zabel (GER) Team Milram s.t.
5 Assan Bazayev (KAZ) Astana s.t.
6 Alexandre Usov (BLR) Ag2r-La Mondiale s.t.
7 Enrico Gasparotto (ITA) Barloworld s.t.
8 Bram De Groot (NED) Rabobank s.t.
9 Alexander Serov (RUS) Tinkoff Credit Systems s.t.
label: 2||Mark Cavendish (GBR)||Team High Road||s.t.
3||Daniele Bennati (ITA)||Liquigas||s.t.
4||Erik Zabel (GER)||Team Milram||s.t.
5||Assan Bazayev (KAZ)||Astana||s.t.
6||Alexandre Usov (BLR)||Ag2r-La Mondiale||s.t.
7||Enrico Gasparotto (ITA)||Barloworld||s.t.
8||Bram De Groot (NED)||Rabobank||s.t.
9||Alexander Serov (RUS)||Tinkoff Credit Systems||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:
Tele2 8 6 7
Ericsson 10 6 4
Nordea 7 7 1
TeliaSonera 4 8 2
Net Entertainment 7 0 0
Betsson 2 3 1
SAS 2 2 1
Tieto 2 2 1
Lucara Diamond Corp 5 0 0
Semafo Inc. 1 3 0
Concentric 2 1 0
Vostok Nafta 3 0 0
HiQ 3 0 0
Björn Borg 0 0 2
PA Resources 0 0 2
Enea 2 0 0
Sectra 1 0 1
Exini Diagnostics 0 2 0



TEGRA_table_txt_file: table_2613.txt
TEGRA_TABLE_TEXT: Tele2 8 6 7
Ericsson 10 6 4
Nordea 7 7 1
TeliaSonera 4 8 2
Net Entertainment 7 0 0
Betsson 2 3 1
SAS 2 2 1
Tieto 2 2 1
Lucara Diamond Corp 5 0 0
Semafo Inc. 1 3 0
Concentric 2 1 0
Vostok Nafta 3 0 0
HiQ 3 0 0
Björn Borg 0 0 2
PA Resources 0 0 2
Enea 2 0 0
Sectra 1 0 1
Exini Diagnostics 0 2 0
label: Tele2||8||6||7
Ericsson||10||6||4
Nordea||7||7||1
TeliaSonera||4||8||2
Net Entertainment||7||0||0
Betsson||2||3||1
SAS||2||2||1
Tieto||2||2||1
Lucara Diamond Corp||5||0||0
Semafo Inc.||1||3||0
Concentric||2||1||0
Vostok Nafta||3||0||0
HiQ||3||0||0
Björn Borg||0||0||2
PA Resources||0||0||2
Enea||2||0||0
Sectra||1||0||1
Exini Diagnostics||0||2||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:
3 Thepeopleimage Brigitte 5 420 0 2013-05-21
3 thepeaopleimage.com 32 100 1 2013-06-21
3 preteen model mini-model 182 000 2 2012-09-18
3 elite preteen models free 184 000 1 2012-09-15
3 top 10 preteen models 222 000 0 2012-08-22
3 art photos preteen 241 000 0 2012-08-22
3 preteen model utral model 282 000 0 2012-07-06
3 top100 model 464 000 1 2013-06-26



TEGRA_table_txt_file: table_8518.txt
TEGRA_TABLE_TEXT: 3 Thepeopleimage Brigitte 5 420 0 2013-05-21
3 thepeaopleimage.com 32 100 1 2013-06-21
3 preteen model mini-model 182 000 2 2012-09-18
3 elite preteen models free 184 000 1 2012-09-15
3 top 10 preteen models 222 000 0 2012-08-22
3 art photos preteen 241 000 0 2012-08-22
3 preteen model utral model 282 000 0 2012-07-06
3 top100 model 464 000 1 2013-06-26
label: 3||Thepeopleimage Brigitte||5 420||0||2013-05-21
3||thepeaopleimage.com||32 100||1||2013-06-21
3||preteen model mini-model||182 000||2||2012-09-18
3||elite preteen models free||184 000||1||2012-09-15
3||top 10 preteen models||222 000||0||2012-08-22
3||art photos preteen||241 000||0||2012-08-22
3||preteen model utral model||282 000||0||2012-07-06
3||top100 model||464 000||1||2013-06-26
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:
Mid-Low frequency power: 300W RMS -------------
Total rated power: 400W RMS 900W RMS
Peak power: 800W RMS 1800W RMS
Components: 2&times;MD850+Hi44T WLO18100A
Frequency response: 100Hz-20KHz 40Hz-100/150/200Hz
Line input sensitivity: 98dB(1M/1W) 100dB(1M/1W)
SPL: 120dB 132dB
Input impedance: 22K&Omega; 22K&Omega;
Power supply: 100-240V ~ 50/60&Eta;z 100-240V ~ 50/60&Eta;z
Net weight : 28.6kg 52.5kg
Gross weight : 29.5kg 63.5kg



TEGRA_table_txt_file: table_7398.txt
TEGRA_TABLE_TEXT: Mid-Low frequency power: 300W RMS -------------
Total rated power: 400W RMS 900W RMS
Peak power: 800W RMS 1800W RMS
Components: 2&times;MD850+Hi44T WLO18100A
Frequency response: 100Hz-20KHz 40Hz-100/150/200Hz
Line input sensitivity: 98dB(1M/1W) 100dB(1M/1W)
SPL: 120dB 132dB
Input impedance: 22K&Omega; 22K&Omega;
Power supply: 100-240V ~ 50/60&Eta;z 100-240V ~ 50/60&Eta;z
Net weight : 28.6kg 52.5kg
Gross weight : 29.5kg 63.5kg
label: Mid-Low frequency power:||300W RMS||-------------
Total rated power:||400W RMS||900W RMS
Peak power:||800W RMS||1800W RMS
Components:||2&times;MD850+Hi44T||WLO18100A
Frequency response:||100Hz-20KHz||40Hz-100/150/200Hz
Line input sensitivity:||98dB(1M/1W)||100dB(1M/1W)
SPL:||120dB||132dB
Input impedance:||22K&Omega;||22K&Omega;
Power supply:||100-240V ~ 50/60&Eta;z||100-240V ~ 50/60&Eta;z
Net weight :||28.6kg||52.5kg
Gross weight :||29.5kg||63.5kg
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:
February 51&deg; 73&deg; 27&deg; (1967) 92&deg; (1962) 2.49" 0"
March 55&deg; 77&deg; 25&deg; (1980) 93&deg; (1994) 2.92" 0"
April 60&deg; 81&deg; 35&deg; (1971) 97&deg; (1999) 2.08" 0"
May 66&deg; 85&deg; 47&deg; (1992) 97&deg; (2000) 3.94" 0"
June 71&deg; 89&deg; 55&deg; (1984) 101&deg; (1998) 5.83" 0"
July 72&deg; 91&deg; 60&deg; (1977) 102&deg; (1980) 5.38" 0"
August 73&deg; 90&deg; 60&deg; (1983) 101&deg; (1999) 5.78" 0"
September 72&deg; 88&deg; 58&deg; (1982) 98&deg; (1972) 7.2" 0"
October 67&deg; 83&deg; 41&deg; (1977) 96&deg; (1959) 4.76" 0"
November 60&deg; 78&deg; 30&deg; (1966) 91&deg; (1992) 3.12" 0"



TEGRA_table_txt_file: table_4765.txt
TEGRA_TABLE_TEXT: February 51&deg; 73&deg; 27&deg; (1967) 92&deg; (1962) 2.49" 0"
March 55&deg; 77&deg; 25&deg; (1980) 93&deg; (1994) 2.92" 0"
April 60&deg; 81&deg; 35&deg; (1971) 97&deg; (1999) 2.08" 0"
May 66&deg; 85&deg; 47&deg; (1992) 97&deg; (2000) 3.94" 0"
June 71&deg; 89&deg; 55&deg; (1984) 101&deg; (1998) 5.83" 0"
July 72&deg; 91&deg; 60&deg; (1977) 102&deg; (1980) 5.38" 0"
August 73&deg; 90&deg; 60&deg; (1983) 101&deg; (1999) 5.78" 0"
September 72&deg; 88&deg; 58&deg; (1982) 98&deg; (1972) 7.2" 0"
October 67&deg; 83&deg; 41&deg; (1977) 96&deg; (1959) 4.76" 0"
November 60&deg; 78&deg; 30&deg; (1966) 91&deg; (1992) 3.12" 0"
label: February||51&deg;||73&deg;||27&deg; (1967)||92&deg; (1962)||2.49"||0"
March||55&deg;||77&deg;||25&deg; (1980)||93&deg; (1994)||2.92"||0"
April||60&deg;||81&deg;||35&deg; (1971)||97&deg; (1999)||2.08"||0"
May||66&deg;||85&deg;||47&deg; (1992)||97&deg; (2000)||3.94"||0"
June||71&deg;||89&deg;||55&deg; (1984)||101&deg; (1998)||5.83"||0"
July||72&deg;||91&deg;||60&deg; (1977)||102&deg; (1980)||5.38"||0"
August||73&deg;||90&deg;||60&deg; (1983)||101&deg; (1999)||5.78"||0"
September||72&deg;||88&deg;||58&deg; (1982)||98&deg; (1972)||7.2"||0"
October||67&deg;||83&deg;||41&deg; (1977)||96&deg; (1959)||4.76"||0"
November||60&deg;||78&deg;||30&deg; (1966)||91&deg; (1992)||3.12"||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:
Teams Games W L T GF GA Diff Pts P10 Streak
Midwest 8 6 2 0 28 18 10 12 6-2-0 L 1
Great Lakes 7 4 1 2 27 12 15 10 4-1-2 L 1
South Florida 7 3 3 1 19 19 0 7 3-3-1 L 3
Philadelphia 6 0 3 3 10 14 -4 3 0-3-3 T 1



TEGRA_table_txt_file: table_3753.txt
TEGRA_TABLE_TEXT: Teams Games W L T GF GA Diff Pts P10 Streak
Midwest 8 6 2 0 28 18 10 12 6-2-0 L 1
Great Lakes 7 4 1 2 27 12 15 10 4-1-2 L 1
South Florida 7 3 3 1 19 19 0 7 3-3-1 L 3
Philadelphia 6 0 3 3 10 14 -4 3 0-3-3 T 1
label: Teams||Games||W||L||T||GF||GA||Diff||Pts||P10||Streak
Midwest||8||6||2||0||28||18||10||12||6-2-0||L 1
Great Lakes||7||4||1||2||27||12||15||10||4-1-2||L 1
South Florida||7||3||3||1||19||19||0||7||3-3-1||L 3
Philadelphia||6||0||3||3||10||14||-4||3||0-3-3||T 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:
2013 Playoffs 4 1 1 2 2 0 8 1 0 0 0 0 0 9 0.111
2012 Playoffs 5 0 1 1 -3 0 9 3 0 0 0 0 0 16 0.000
2012 Regular 55 10 10 20 4 18 32 13 1 0 1 0 2 125 0.080
2011 Regular 70 15 24 39 8 10 38 14 2 4 1 0 5 197 0.076
2011 Playoffs 24 2 6 8 -1 6 19 4 0 3 0 0 0 57 0.035
2010 Playoffs 12 3 1 4 0 6 0 0 0 0 0 0 1 23 0.130
2010 Regular 82 25 28 53 0 48 64 19 8 10 0 0 4 217 0.115
2009 Playoffs 10 2 1 3 -2 2 0 0 0 0 0 0 0 17 0.118
2009 Regular 72 11 12 23 2 24 0 0 4 6 0 0 0 145 0.076



TEGRA_table_txt_file: table_8943.txt
TEGRA_TABLE_TEXT: 2013 Playoffs 4 1 1 2 2 0 8 1 0 0 0 0 0 9 0.111
2012 Playoffs 5 0 1 1 -3 0 9 3 0 0 0 0 0 16 0.000
2012 Regular 55 10 10 20 4 18 32 13 1 0 1 0 2 125 0.080
2011 Regular 70 15 24 39 8 10 38 14 2 4 1 0 5 197 0.076
2011 Playoffs 24 2 6 8 -1 6 19 4 0 3 0 0 0 57 0.035
2010 Playoffs 12 3 1 4 0 6 0 0 0 0 0 0 1 23 0.130
2010 Regular 82 25 28 53 0 48 64 19 8 10 0 0 4 217 0.115
2009 Playoffs 10 2 1 3 -2 2 0 0 0 0 0 0 0 17 0.118
2009 Regular 72 11 12 23 2 24 0 0 4 6 0 0 0 145 0.076
label: 2013||Playoffs||4||1||1||2||2||0||8||1||0||0||0||0||0||9||0.111
2012||Playoffs||5||0||1||1||-3||0||9||3||0||0||0||0||0||16||0.000
2012||Regular||55||10||10||20||4||18||32||13||1||0||1||0||2||125||0.080
2011||Regular||70||15||24||39||8||10||38||14||2||4||1||0||5||197||0.076
2011||Playoffs||24||2||6||8||-1||6||19||4||0||3||0||0||0||57||0.035
2010||Playoffs||12||3||1||4||0||6||0||0||0||0||0||0||1||23||0.130
2010||Regular||82||25||28||53||0||48||64||19||8||10||0||0||4||217||0.115
2009||Playoffs||10||2||1||3||-2||2||0||0||0||0||0||0||0||17||0.118
2009||Regular||72||11||12||23||2||24||0||0||4||6||0||0||0||145||0.076
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:
2.5 - - 95 1.6 0.0032
4 1.0 0.007 120 1.6 0.0029
6 1.0 0.006 150 1.8 0.0029
10 1.0 0.0056 185 2.0 0.0029
16 1.0 0.0046 240 2.2 0.0028
25 1.2 0.0044 300 2.4 0.0028
35 1.2 0.0038 400 2.6 0.0026



TEGRA_table_txt_file: table_5709.txt
TEGRA_TABLE_TEXT: 2.5 - - 95 1.6 0.0032
4 1.0 0.007 120 1.6 0.0029
6 1.0 0.006 150 1.8 0.0029
10 1.0 0.0056 185 2.0 0.0029
16 1.0 0.0046 240 2.2 0.0028
25 1.2 0.0044 300 2.4 0.0028
35 1.2 0.0038 400 2.6 0.0026
label: 2.5||-||-||95||1.6||0.0032
4||1.0||0.007||120||1.6||0.0029
6||1.0||0.006||150||1.8||0.0029
10||1.0||0.0056||185||2.0||0.0029
16||1.0||0.0046||240||2.2||0.0028
25||1.2||0.0044||300||2.4||0.0028
35||1.2||0.0038||400||2.6||0.0026