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:
From To Weekly rate Nightly rate
September 28, 2013 November 2, 2013 &euro; 504US$ 680GB£ 424 Get instant quote
November 2, 2013 April 5, 2014 &euro; 441US$ 595GB£ 371 Get instant quote
April 5, 2014 May 24, 2014 &euro; 567US$ 765GB£ 477 Get instant quote
May 24, 2014 June 21, 2014 &euro; 585US$ 790GB£ 492 Get instant quote
June 21, 2014 July 26, 2014 &euro; 630US$ 851GB£ 530 Get instant quote
July 26, 2014 August 23, 2014 &euro; 765US$ 1,033GB£ 644 Get instant quote
August 23, 2014 September 27, 2014 &euro; 630US$ 851GB£ 530 Get instant quote
September 27, 2014 November 1, 2014 &euro; 504US$ 680GB£ 424 Get instant quote



TEGRA_table_txt_file: table_156.txt
TEGRA_TABLE_TEXT: From To Weekly rate Nightly rate
September 28, 2013 November 2, 2013 &euro; 504US$ 680GB£ 424 Get instant quote
November 2, 2013 April 5, 2014 &euro; 441US$ 595GB£ 371 Get instant quote
April 5, 2014 May 24, 2014 &euro; 567US$ 765GB£ 477 Get instant quote
May 24, 2014 June 21, 2014 &euro; 585US$ 790GB£ 492 Get instant quote
June 21, 2014 July 26, 2014 &euro; 630US$ 851GB£ 530 Get instant quote
July 26, 2014 August 23, 2014 &euro; 765US$ 1,033GB£ 644 Get instant quote
August 23, 2014 September 27, 2014 &euro; 630US$ 851GB£ 530 Get instant quote
September 27, 2014 November 1, 2014 &euro; 504US$ 680GB£ 424 Get instant quote
label: From||To||Weekly rate||Nightly rate
September 28, 2013||November 2, 2013||&euro; 504US$ 680GB£ 424||Get instant quote
November 2, 2013||April 5, 2014||&euro; 441US$ 595GB£ 371||Get instant quote
April 5, 2014||May 24, 2014||&euro; 567US$ 765GB£ 477||Get instant quote
May 24, 2014||June 21, 2014||&euro; 585US$ 790GB£ 492||Get instant quote
June 21, 2014||July 26, 2014||&euro; 630US$ 851GB£ 530||Get instant quote
July 26, 2014||August 23, 2014||&euro; 765US$ 1,033GB£ 644||Get instant quote
August 23, 2014||September 27, 2014||&euro; 630US$ 851GB£ 530||Get instant quote
September 27, 2014||November 1, 2014||&euro; 504US$ 680GB£ 424||Get instant quote
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
US Size US2 US4 US6 US8 US10 US12 US14 US16        
Europe Size EU32 EU34 EU36 EU38 EU40 EU42          
UK Size UK6 UK8 UK10 UK12 UK14 UK16          
Inch/cm Inch cm Inch cm Inch cm Inch cm Inch cm Inch cm Inch cm Inch cm
Bust 33 84 34 86 35 89 36 91 37&frac12; 95 39 99 41 104 43&frac12; 110
Waist 26&frac12; 67 27&frac12; 70 28&frac12; 72 29&frac12; 75 31 79 32&frac12; 83 34&frac34; 88 37 94
Hips 36&frac12; 93 37&frac12; 95 38&frac12; 98 39&frac12; 100 41 104 42&frac12; 108 44&frac12; 113 46&frac34; 119
Hollow to Floor 58 147 58 147 59 150 59 150 60 152 60 152 61 155 61 155



TEGRA_table_txt_file: table_1259.txt
TEGRA_TABLE_TEXT: US Size US2 US4 US6 US8 US10 US12 US14 US16        
Europe Size EU32 EU34 EU36 EU38 EU40 EU42          
UK Size UK6 UK8 UK10 UK12 UK14 UK16          
Inch/cm Inch cm Inch cm Inch cm Inch cm Inch cm Inch cm Inch cm Inch cm
Bust 33 84 34 86 35 89 36 91 37&frac12; 95 39 99 41 104 43&frac12; 110
Waist 26&frac12; 67 27&frac12; 70 28&frac12; 72 29&frac12; 75 31 79 32&frac12; 83 34&frac34; 88 37 94
Hips 36&frac12; 93 37&frac12; 95 38&frac12; 98 39&frac12; 100 41 104 42&frac12; 108 44&frac12; 113 46&frac34; 119
Hollow to Floor 58 147 58 147 59 150 59 150 60 152 60 152 61 155 61 155
label: US Size||US2||US4||US6||US8||US10||US12||US14||US16||||||||||||||||
Europe Size||EU32||EU34||EU36||EU38||EU40||EU42||||||||||||||||||||
UK Size||UK6||UK8||UK10||UK12||UK14||UK16||||||||||||||||||||
Inch/cm||Inch||cm||Inch||cm||Inch||cm||Inch||cm||Inch||cm||Inch||cm||Inch||cm||Inch||cm
Bust||33||84||34||86||35||89||36||91||37&frac12;||95||39||99||41||104||43&frac12;||110
Waist||26&frac12;||67||27&frac12;||70||28&frac12;||72||29&frac12;||75||31||79||32&frac12;||83||34&frac34;||88||37||94
Hips||36&frac12;||93||37&frac12;||95||38&frac12;||98||39&frac12;||100||41||104||42&frac12;||108||44&frac12;||113||46&frac34;||119
Hollow to Floor||58||147||58||147||59||150||59||150||60||152||60||152||61||155||61||155
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:
Crestwood - 48-1800 1,811 2 + Den to 4 2 or 3 2 or 2.5
Cambridge - 48-2000 2,005 3 to 4 2 2
Northbrook - 46-2360 2,380 3 + Den or 4 2.5 or 3 2
Hampton - 54-2000 2,008 3 to 6 2.5 to 5 2 or 3
Highland - 55-2200 2,200 3 to 5 2 or 3 2 or 3
Willowbrook - 55-2400 2,402 3 to 5 2.5 to 4 3
Glenview - 55-2680 2,680 3 to 6 2.5 or 3.5 2 or 3
Lexington - 65-2770 2,770 3 to 5 2.5 or 3.5 3



TEGRA_table_txt_file: table_16.txt
TEGRA_TABLE_TEXT: Crestwood - 48-1800 1,811 2 + Den to 4 2 or 3 2 or 2.5
Cambridge - 48-2000 2,005 3 to 4 2 2
Northbrook - 46-2360 2,380 3 + Den or 4 2.5 or 3 2
Hampton - 54-2000 2,008 3 to 6 2.5 to 5 2 or 3
Highland - 55-2200 2,200 3 to 5 2 or 3 2 or 3
Willowbrook - 55-2400 2,402 3 to 5 2.5 to 4 3
Glenview - 55-2680 2,680 3 to 6 2.5 or 3.5 2 or 3
Lexington - 65-2770 2,770 3 to 5 2.5 or 3.5 3
label: Crestwood - 48-1800||1,811||2 + Den to 4||2 or 3||2 or 2.5
Cambridge - 48-2000||2,005||3 to 4||2||2
Northbrook - 46-2360||2,380||3 + Den or 4||2.5 or 3||2
Hampton - 54-2000||2,008||3 to 6||2.5 to 5||2 or 3
Highland - 55-2200||2,200||3 to 5||2 or 3||2 or 3
Willowbrook - 55-2400||2,402||3 to 5||2.5 to 4||3
Glenview - 55-2680||2,680||3 to 6||2.5 or 3.5||2 or 3
Lexington - 65-2770||2,770||3 to 5||2.5 or 3.5||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:
688173 &nbsp 2 &nbsp Cleveland &nbsp 6
688173 &nbsp 4 &nbsp Atlanta &nbsp 15
688173 &nbsp 8 &nbsp Kingman &nbsp 10
688173 &nbsp 12 &nbsp Denver &nbsp 3
688173 &nbsp 13 &nbsp Woodland &nbsp 12



TEGRA_table_txt_file: table_9027.txt
TEGRA_TABLE_TEXT: 688173 &nbsp 2 &nbsp Cleveland &nbsp 6
688173 &nbsp 4 &nbsp Atlanta &nbsp 15
688173 &nbsp 8 &nbsp Kingman &nbsp 10
688173 &nbsp 12 &nbsp Denver &nbsp 3
688173 &nbsp 13 &nbsp Woodland &nbsp 12
label: 688173||&nbsp||2||&nbsp||Cleveland||&nbsp||6
688173||&nbsp||4||&nbsp||Atlanta||&nbsp||15
688173||&nbsp||8||&nbsp||Kingman||&nbsp||10
688173||&nbsp||12||&nbsp||Denver||&nbsp||3
688173||&nbsp||13||&nbsp||Woodland||&nbsp||12
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
Alleghany 1 Lenoir 2
Anson 2 Lincoln 3
Buncombe 2 Mecklenburg 29
Cabarrus 7 New Hanover 2
Caldwell 1 Orange 6
Caswell 1 Pender 1
Catawba 1 Perquimans 1
Chatham 2 Person 3
Chowan 2 Pitt 1
Currituck 2 Randolph 1
Dare 1 Richmond 1
Davidson 4 Robeson 1
Duplin 1 Rockingham 1
Durham 1 Rowan 5
Edgecombe 2 Rutherford 1
Forsyth 11 Stanly 3
Gaston 1 Surry 5
Granville 8 Vance 1
Guilford 15 Wake 2
Halifax 1 Warren 1
Haywood 1 Watauga 2
Iredell 9 Wilkes 3



TEGRA_table_txt_file: table_5483.txt
TEGRA_TABLE_TEXT: Alleghany 1 Lenoir 2
Anson 2 Lincoln 3
Buncombe 2 Mecklenburg 29
Cabarrus 7 New Hanover 2
Caldwell 1 Orange 6
Caswell 1 Pender 1
Catawba 1 Perquimans 1
Chatham 2 Person 3
Chowan 2 Pitt 1
Currituck 2 Randolph 1
Dare 1 Richmond 1
Davidson 4 Robeson 1
Duplin 1 Rockingham 1
Durham 1 Rowan 5
Edgecombe 2 Rutherford 1
Forsyth 11 Stanly 3
Gaston 1 Surry 5
Granville 8 Vance 1
Guilford 15 Wake 2
Halifax 1 Warren 1
Haywood 1 Watauga 2
Iredell 9 Wilkes 3
label: Alleghany||1||Lenoir||2
Anson||2||Lincoln||3
Buncombe||2||Mecklenburg||29
Cabarrus||7||New Hanover||2
Caldwell||1||Orange||6
Caswell||1||Pender||1
Catawba||1||Perquimans||1
Chatham||2||Person||3
Chowan||2||Pitt||1
Currituck||2||Randolph||1
Dare||1||Richmond||1
Davidson||4||Robeson||1
Duplin||1||Rockingham||1
Durham||1||Rowan||5
Edgecombe||2||Rutherford||1
Forsyth||11||Stanly||3
Gaston||1||Surry||5
Granville||8||Vance||1
Guilford||15||Wake||2
Halifax||1||Warren||1
Haywood||1||Watauga||2
Iredell||9||Wilkes||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:
2 días 7.98% 3342 6684
3 días 8.70% 3643 10929
4 días 7.58% 3174 12696
5 días 7.06% 2957 14785
6 días 6.06% 2538 15228
7 días 6.96% 2915 20405
8 días 4.90% 2052 16416
9 días 3.84% 1608 14472
10 días 3.51% 1470 14700
11-15 días 11.27% 4720 61360
16-20 días 6.23% 2609 46962
21-25 días 4.09% 1713 39399
26-30 días 2.81% 1177 32956
31-35 días 2.28% 955 31515
36-40 días 1.78% 745 28310
41-45 días 1.51% 632 27176
46-50 días 1.07% 448 21504
51-55 días .80% 335 17755
56-60 días .95% 398 23084
61-120 días 4.44% 1859 223080
Más de 120 días 1.49% 627 75240



TEGRA_table_txt_file: table_9725.txt
TEGRA_TABLE_TEXT: 2 días 7.98% 3342 6684
3 días 8.70% 3643 10929
4 días 7.58% 3174 12696
5 días 7.06% 2957 14785
6 días 6.06% 2538 15228
7 días 6.96% 2915 20405
8 días 4.90% 2052 16416
9 días 3.84% 1608 14472
10 días 3.51% 1470 14700
11-15 días 11.27% 4720 61360
16-20 días 6.23% 2609 46962
21-25 días 4.09% 1713 39399
26-30 días 2.81% 1177 32956
31-35 días 2.28% 955 31515
36-40 días 1.78% 745 28310
41-45 días 1.51% 632 27176
46-50 días 1.07% 448 21504
51-55 días .80% 335 17755
56-60 días .95% 398 23084
61-120 días 4.44% 1859 223080
Más de 120 días 1.49% 627 75240
label: 2 días||7.98%||3342||6684
3 días||8.70%||3643||10929
4 días||7.58%||3174||12696
5 días||7.06%||2957||14785
6 días||6.06%||2538||15228
7 días||6.96%||2915||20405
8 días||4.90%||2052||16416
9 días||3.84%||1608||14472
10 días||3.51%||1470||14700
11-15 días||11.27%||4720||61360
16-20 días||6.23%||2609||46962
21-25 días||4.09%||1713||39399
26-30 días||2.81%||1177||32956
31-35 días||2.28%||955||31515
36-40 días||1.78%||745||28310
41-45 días||1.51%||632||27176
46-50 días||1.07%||448||21504
51-55 días||.80%||335||17755
56-60 días||.95%||398||23084
61-120 días||4.44%||1859||223080
Más de 120 días||1.49%||627||75240
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:
Wayne High School 9 - 12 PUBLIC
Kitty Hawk Elementary School K - 5 PUBLIC
St. Peter Catholic School K - 8 CATHOLIC
Menlo Park Elementary School K - 5 PUBLIC
Monticello Elementary School K - 5 PUBLIC
Studebaker Middle School 5 - 8 PUBLIC
Weisenborn Middle School 5 - 8 PUBLIC
Valley Forge Elementary School K - 5 PUBLIC



TEGRA_table_txt_file: table_2466.txt
TEGRA_TABLE_TEXT: Wayne High School 9 - 12 PUBLIC
Kitty Hawk Elementary School K - 5 PUBLIC
St. Peter Catholic School K - 8 CATHOLIC
Menlo Park Elementary School K - 5 PUBLIC
Monticello Elementary School K - 5 PUBLIC
Studebaker Middle School 5 - 8 PUBLIC
Weisenborn Middle School 5 - 8 PUBLIC
Valley Forge Elementary School K - 5 PUBLIC
label: Wayne High School||9 - 12||PUBLIC
Kitty Hawk Elementary School||K - 5||PUBLIC
St. Peter Catholic School||K - 8||CATHOLIC
Menlo Park Elementary School||K - 5||PUBLIC
Monticello Elementary School||K - 5||PUBLIC
Studebaker Middle School||5 - 8||PUBLIC
Weisenborn Middle School||5 - 8||PUBLIC
Valley Forge Elementary School||K - 5||PUBLIC
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:
Curryhuhn (Du darfst) 1 Port. 41 3,4
Curryhuhn (Du darfst) 100 g 10 0,8
CurryKing (Meica) 100 g 11 0,9
CurryKing Gefl&uuml;gel (Meica) 100 g 12 1,0
CurryKing XXL (Meica) 100 g 13 1,1
Currywurst (bofrost) 1 Port. 12,2 1,0
Currywurst (bofrost) 100 g 6,1 0,5



TEGRA_table_txt_file: table_5651.txt
TEGRA_TABLE_TEXT: Curryhuhn (Du darfst) 1 Port. 41 3,4
Curryhuhn (Du darfst) 100 g 10 0,8
CurryKing (Meica) 100 g 11 0,9
CurryKing Gefl&uuml;gel (Meica) 100 g 12 1,0
CurryKing XXL (Meica) 100 g 13 1,1
Currywurst (bofrost) 1 Port. 12,2 1,0
Currywurst (bofrost) 100 g 6,1 0,5
label: Curryhuhn||(Du darfst)||1 Port.||41||3,4
Curryhuhn||(Du darfst)||100 g||10||0,8
CurryKing||(Meica)||100 g||11||0,9
CurryKing Gefl&uuml;gel||(Meica)||100 g||12||1,0
CurryKing XXL||(Meica)||100 g||13||1,1
Currywurst||(bofrost)||1 Port.||12,2||1,0
Currywurst||(bofrost)||100 g||6,1||0,5
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 TNC - Chattanooga chattanooga colonels baseball club Qualified BBboys10AAA 3 1 0 18 18 4.5 4.5 0 6 75
2 TNE - Knoxville Knox Sox 10U Qualified BBboys10Maj 3 1 0 24 13 6 3.25 2.75 10 55
2 TNC - Cleveland D3 Stingers Qualified BBboys10AA 2 2 0 21 20 5.25 5 0.25 9 55
3 GA - Ringgold Bambinos Baseball Qualified BBboys10AAA 1 2 0 14 8 4.66 2.66 2 12 45
3 TNC - Chattanooga Fury Baseball Qualified BBboys10Maj 1 2 0 5 16 1.66 5.33 -3.6 3 45
3 TNE - Kingston Kingston Yellow Jackets Qualified BBboys9AA 0 3 0 4 30 1.33 10 -8.6 2 45



TEGRA_table_txt_file: table_7483.txt
TEGRA_TABLE_TEXT: 1 TNC - Chattanooga chattanooga colonels baseball club Qualified BBboys10AAA 3 1 0 18 18 4.5 4.5 0 6 75
2 TNE - Knoxville Knox Sox 10U Qualified BBboys10Maj 3 1 0 24 13 6 3.25 2.75 10 55
2 TNC - Cleveland D3 Stingers Qualified BBboys10AA 2 2 0 21 20 5.25 5 0.25 9 55
3 GA - Ringgold Bambinos Baseball Qualified BBboys10AAA 1 2 0 14 8 4.66 2.66 2 12 45
3 TNC - Chattanooga Fury Baseball Qualified BBboys10Maj 1 2 0 5 16 1.66 5.33 -3.6 3 45
3 TNE - Kingston Kingston Yellow Jackets Qualified BBboys9AA 0 3 0 4 30 1.33 10 -8.6 2 45
label: 1||TNC - Chattanooga||chattanooga colonels baseball club Qualified||BBboys10AAA||3||1||0||18||18||4.5||4.5||0||6||75
2||TNE - Knoxville||Knox Sox 10U Qualified||BBboys10Maj||3||1||0||24||13||6||3.25||2.75||10||55
2||TNC - Cleveland||D3 Stingers Qualified||BBboys10AA||2||2||0||21||20||5.25||5||0.25||9||55
3||GA - Ringgold||Bambinos Baseball Qualified||BBboys10AAA||1||2||0||14||8||4.66||2.66||2||12||45
3||TNC - Chattanooga||Fury Baseball Qualified||BBboys10Maj||1||2||0||5||16||1.66||5.33||-3.6||3||45
3||TNE - Kingston||Kingston Yellow Jackets Qualified||BBboys9AA||0||3||0||4||30||1.33||10||-8.6||2||45
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:
683 Gáspár József 1955 4 kg-4 612 643 MTK, Molenbeek
722 Gelei Károly 1964 1 kg-0 642 642 Antwerpen
847 Gera Zoltán 1979 75 22 760 872 FTC, West Bromwich
801 Geress Zoltán 1970 1 - 715 715 Vasas
697 Gregor József 1963 6 - 626 654 Honvéd



TEGRA_table_txt_file: table_5345.txt
TEGRA_TABLE_TEXT: 683 Gáspár József 1955 4 kg-4 612 643 MTK, Molenbeek
722 Gelei Károly 1964 1 kg-0 642 642 Antwerpen
847 Gera Zoltán 1979 75 22 760 872 FTC, West Bromwich
801 Geress Zoltán 1970 1 - 715 715 Vasas
697 Gregor József 1963 6 - 626 654 Honvéd
label: 683||Gáspár József||1955||4||kg-4||612||643||MTK, Molenbeek
722||Gelei Károly||1964||1||kg-0||642||642||Antwerpen
847||Gera Zoltán||1979||75||22||760||872||FTC, West Bromwich
801||Geress Zoltán||1970||1||-||715||715||Vasas
697||Gregor József||1963||6||-||626||654||Honvéd
Task: List-to-table (source dataset: TEGRA)

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

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

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

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



TEGRA_table_txt_file: table_727.txt
TEGRA_TABLE_TEXT: 11. Swansea 8 3 1 4 1 10
12. WBA 8 2 4 2 1 10
13. Aston Villa 8 3 1 4 -1 10
14. Fulham 8 3 1 4 -1 10
15. West Ham 8 2 2 4 0 8
label: 11. Swansea||8||3||1||4||1||10
12. WBA||8||2||4||2||1||10
13. Aston Villa||8||3||1||4||-1||10
14. Fulham||8||3||1||4||-1||10
15. West Ham||8||2||2||4||0||8
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
Wednesday 23/10/2013 649 USD = 771.4663 NZD
Tuesday 22/10/2013 649 USD = 762.2505 NZD
Monday 21/10/2013 649 USD = 767.4425 NZD
Sunday 20/10/2013 649 USD = 763.2889 NZD
Saturday 19/10/2013 649 USD = 763.6783 NZD
Friday 18/10/2013 649 USD = 763.7432 NZD
Thursday 17/10/2013 649 USD = 766.9882 NZD
Wednesday 16/10/2013 649 USD = 770.1034 NZD
Tuesday 15/10/2013 649 USD = 772.8941 NZD
Monday 14/10/2013 649 USD = 776.204 NZD



TEGRA_table_txt_file: table_6845.txt
TEGRA_TABLE_TEXT: Wednesday 23/10/2013 649 USD = 771.4663 NZD
Tuesday 22/10/2013 649 USD = 762.2505 NZD
Monday 21/10/2013 649 USD = 767.4425 NZD
Sunday 20/10/2013 649 USD = 763.2889 NZD
Saturday 19/10/2013 649 USD = 763.6783 NZD
Friday 18/10/2013 649 USD = 763.7432 NZD
Thursday 17/10/2013 649 USD = 766.9882 NZD
Wednesday 16/10/2013 649 USD = 770.1034 NZD
Tuesday 15/10/2013 649 USD = 772.8941 NZD
Monday 14/10/2013 649 USD = 776.204 NZD
label: Wednesday 23/10/2013||649 USD =||771.4663 NZD
Tuesday 22/10/2013||649 USD =||762.2505 NZD
Monday 21/10/2013||649 USD =||767.4425 NZD
Sunday 20/10/2013||649 USD =||763.2889 NZD
Saturday 19/10/2013||649 USD =||763.6783 NZD
Friday 18/10/2013||649 USD =||763.7432 NZD
Thursday 17/10/2013||649 USD =||766.9882 NZD
Wednesday 16/10/2013||649 USD =||770.1034 NZD
Tuesday 15/10/2013||649 USD =||772.8941 NZD
Monday 14/10/2013||649 USD =||776.204 NZD
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 Thon Maker 7'1 C
3 Khalea Turner 6'8 PF
4 Rodney Miller Jr. 6'11 C
5 Joshua Langford 6'4 W
6 Deron Davis 6'8 F
7 Seventh Woods 6'1 PG
8 Eron Gordon 6'2 SG
9 Josh Jackson 6'3 W



TEGRA_table_txt_file: table_1402.txt
TEGRA_TABLE_TEXT: 2 Thon Maker 7'1 C
3 Khalea Turner 6'8 PF
4 Rodney Miller Jr. 6'11 C
5 Joshua Langford 6'4 W
6 Deron Davis 6'8 F
7 Seventh Woods 6'1 PG
8 Eron Gordon 6'2 SG
9 Josh Jackson 6'3 W
label: 2||Thon Maker||7'1||C
3||Khalea Turner||6'8||PF
4||Rodney Miller Jr.||6'11||C
5||Joshua Langford||6'4||W
6||Deron Davis||6'8||F
7||Seventh Woods||6'1||PG
8||Eron Gordon||6'2||SG
9||Josh Jackson||6'3||W
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:
03/03 5 millions de téléspectateurs 30.6%
10/03 4.5 millions de téléspectateurs 30.1%
17/03 4.7 millions de téléspectateurs 33.4%
24/03 3.6 millions de téléspectateurs 30.7%
31/03 3.6 millions de téléspectateurs 27.7%
07/04 3.6 millions de téléspectateurs 26.0%



TEGRA_table_txt_file: table_6659.txt
TEGRA_TABLE_TEXT: 03/03 5 millions de téléspectateurs 30.6%
10/03 4.5 millions de téléspectateurs 30.1%
17/03 4.7 millions de téléspectateurs 33.4%
24/03 3.6 millions de téléspectateurs 30.7%
31/03 3.6 millions de téléspectateurs 27.7%
07/04 3.6 millions de téléspectateurs 26.0%
label: 03/03||5 millions de téléspectateurs||30.6%
10/03||4.5 millions de téléspectateurs||30.1%
17/03||4.7 millions de téléspectateurs||33.4%
24/03||3.6 millions de téléspectateurs||30.7%
31/03||3.6 millions de téléspectateurs||27.7%
07/04||3.6 millions de téléspectateurs||26.0%
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
2 Manchester City 1 1 0 0 4 - 0 3
3 Manchester Utd 1 1 0 0 4 - 1 3
4 West Ham 1 1 0 0 2 - 0 3
5 Aston Villa 2 1 0 1 4 - 3 3
6 Fulham 1 1 0 0 1 - 0 3
7 Liverpool 1 1 0 0 1 - 0 3
8 Southampton 1 1 0 0 1 - 0 3
9 Tottenham 1 1 0 0 1 - 0 3
10 Everton 1 0 1 0 2 - 2 1
11 Norwich 1 0 1 0 2 - 2 1
12 Crystal Palace 1 0 0 1 0 - 1 0
13 Stoke 1 0 0 1 0 - 1 0
14 Sunderland 1 0 0 1 0 - 1 0
15 West Bromwich 1 0 0 1 0 - 1 0
16 Arsenal 1 0 0 1 1 - 3 0
17 Cardiff City 1 0 0 1 0 - 2 0
18 Hull City 1 0 0 1 0 - 2 0
19 Swansea 1 0 0 1 1 - 4 0



TEGRA_table_txt_file: table_1658.txt
TEGRA_TABLE_TEXT: 2 Manchester City 1 1 0 0 4 - 0 3
3 Manchester Utd 1 1 0 0 4 - 1 3
4 West Ham 1 1 0 0 2 - 0 3
5 Aston Villa 2 1 0 1 4 - 3 3
6 Fulham 1 1 0 0 1 - 0 3
7 Liverpool 1 1 0 0 1 - 0 3
8 Southampton 1 1 0 0 1 - 0 3
9 Tottenham 1 1 0 0 1 - 0 3
10 Everton 1 0 1 0 2 - 2 1
11 Norwich 1 0 1 0 2 - 2 1
12 Crystal Palace 1 0 0 1 0 - 1 0
13 Stoke 1 0 0 1 0 - 1 0
14 Sunderland 1 0 0 1 0 - 1 0
15 West Bromwich 1 0 0 1 0 - 1 0
16 Arsenal 1 0 0 1 1 - 3 0
17 Cardiff City 1 0 0 1 0 - 2 0
18 Hull City 1 0 0 1 0 - 2 0
19 Swansea 1 0 0 1 1 - 4 0
label: 2||Manchester City||1||1||0||0||4 - 0||3
3||Manchester Utd||1||1||0||0||4 - 1||3
4||West Ham||1||1||0||0||2 - 0||3
5||Aston Villa||2||1||0||1||4 - 3||3
6||Fulham||1||1||0||0||1 - 0||3
7||Liverpool||1||1||0||0||1 - 0||3
8||Southampton||1||1||0||0||1 - 0||3
9||Tottenham||1||1||0||0||1 - 0||3
10||Everton||1||0||1||0||2 - 2||1
11||Norwich||1||0||1||0||2 - 2||1
12||Crystal Palace||1||0||0||1||0 - 1||0
13||Stoke||1||0||0||1||0 - 1||0
14||Sunderland||1||0||0||1||0 - 1||0
15||West Bromwich||1||0||0||1||0 - 1||0
16||Arsenal||1||0||0||1||1 - 3||0
17||Cardiff City||1||0||0||1||0 - 2||0
18||Hull City||1||0||0||1||0 - 2||0
19||Swansea||1||0||0||1||1 - 4||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:
Tutor Swift Normal Status or Support 60 -- 20 All Nearby Foes
Tutor Mud-Slap Ground Status or Support 20 100% 10 One Nearby
Tutor Rollout Rock Status or Support 30 90% 20 One Nearby
TM01 Focus Punch Fight Status or Support 150 100% 20 One Nearby
TM34 Shock Wave Electr Status or Support 60 -- 20 One Nearby
TM43 Secret Power Normal Status or Support 70 100% 20 One Nearby
TM58 Endure Normal Status or Support -- -- 10 Self
TM78 Captivate Normal Status or Support -- 100% 20 All Nearby Foes



TEGRA_table_txt_file: table_2604.txt
TEGRA_TABLE_TEXT: Tutor Swift Normal Status or Support 60 -- 20 All Nearby Foes
Tutor Mud-Slap Ground Status or Support 20 100% 10 One Nearby
Tutor Rollout Rock Status or Support 30 90% 20 One Nearby
TM01 Focus Punch Fight Status or Support 150 100% 20 One Nearby
TM34 Shock Wave Electr Status or Support 60 -- 20 One Nearby
TM43 Secret Power Normal Status or Support 70 100% 20 One Nearby
TM58 Endure Normal Status or Support -- -- 10 Self
TM78 Captivate Normal Status or Support -- 100% 20 All Nearby Foes
label: Tutor||Swift||Normal||Status or Support||60||--||20||All Nearby Foes
Tutor||Mud-Slap||Ground||Status or Support||20||100%||10||One Nearby
Tutor||Rollout||Rock||Status or Support||30||90%||20||One Nearby
TM01||Focus Punch||Fight||Status or Support||150||100%||20||One Nearby
TM34||Shock Wave||Electr||Status or Support||60||--||20||One Nearby
TM43||Secret Power||Normal||Status or Support||70||100%||20||One Nearby
TM58||Endure||Normal||Status or Support||--||--||10||Self
TM78||Captivate||Normal||Status or Support||--||100%||20||All Nearby Foes
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:
Cowen and Company Asia  
Cowen International Limited  
Kdc Merger Arbitrage Fund, Lp Dual Registrant $124,500,000
Labranche Structured Products LLC Broker-Dealer 
Ramius Advisors, LLC IAR $4,116,878,040
Ramius Alternative Solutions LLC IAR $2,618,520,562
Ramius Asia LLC IAR $82,158,664
Ramius LLC IAR $163,012,686
Ramius Structured Credit Group LLC IAR $192,133,981
Ramius Trading Strategies LLC IAR $234,230,442
Ramius Uk Ltd  



TEGRA_table_txt_file: table_4061.txt
TEGRA_TABLE_TEXT: Cowen and Company Asia  
Cowen International Limited  
Kdc Merger Arbitrage Fund, Lp Dual Registrant $124,500,000
Labranche Structured Products LLC Broker-Dealer 
Ramius Advisors, LLC IAR $4,116,878,040
Ramius Alternative Solutions LLC IAR $2,618,520,562
Ramius Asia LLC IAR $82,158,664
Ramius LLC IAR $163,012,686
Ramius Structured Credit Group LLC IAR $192,133,981
Ramius Trading Strategies LLC IAR $234,230,442
Ramius Uk Ltd  
label: Cowen and Company Asia||||
Cowen International Limited||||
Kdc Merger Arbitrage Fund, Lp||Dual Registrant||$124,500,000
Labranche Structured Products LLC||Broker-Dealer||
Ramius Advisors, LLC||IAR||$4,116,878,040
Ramius Alternative Solutions LLC||IAR||$2,618,520,562
Ramius Asia LLC||IAR||$82,158,664
Ramius LLC||IAR||$163,012,686
Ramius Structured Credit Group LLC||IAR||$192,133,981
Ramius Trading Strategies LLC||IAR||$234,230,442
Ramius Uk Ltd||||
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 Philadelphia, PA, US 3961 2.5% 5.3 2.5 748 299
3 Los Angeles, CA, US 16458 2.5% 2.5 2.5 748 299
4 Bangalore, IN 6810 2.1% 1.9 2.1 528 251
5 London, GB 7822 2.0% 3.3 2.0 479 239
6 Yerevan, AM 601 1.9% 1.0 1.9 432 227
7 Dhaka, BD 3198 1.9% 1.6 1.9 432 227
8 San Francisco, CA, US 12788 1.8% 1.7 1.8 388 215
9 New Delhi, IN 14534 1.7% 0.8 1.7 346 203



TEGRA_table_txt_file: table_9190.txt
TEGRA_TABLE_TEXT: 2 Philadelphia, PA, US 3961 2.5% 5.3 2.5 748 299
3 Los Angeles, CA, US 16458 2.5% 2.5 2.5 748 299
4 Bangalore, IN 6810 2.1% 1.9 2.1 528 251
5 London, GB 7822 2.0% 3.3 2.0 479 239
6 Yerevan, AM 601 1.9% 1.0 1.9 432 227
7 Dhaka, BD 3198 1.9% 1.6 1.9 432 227
8 San Francisco, CA, US 12788 1.8% 1.7 1.8 388 215
9 New Delhi, IN 14534 1.7% 0.8 1.7 346 203
label: 2||Philadelphia, PA, US||3961||2.5%||5.3||2.5||748||299
3||Los Angeles, CA, US||16458||2.5%||2.5||2.5||748||299
4||Bangalore, IN||6810||2.1%||1.9||2.1||528||251
5||London, GB||7822||2.0%||3.3||2.0||479||239
6||Yerevan, AM||601||1.9%||1.0||1.9||432||227
7||Dhaka, BD||3198||1.9%||1.6||1.9||432||227
8||San Francisco, CA, US||12788||1.8%||1.7||1.8||388||215
9||New Delhi, IN||14534||1.7%||0.8||1.7||346||203
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:
2650 Countryside Blvd Not For Sale - - - 1,110
2650 Countryside Blvd Apt F310 Not For Sale - - - 1,110
2650 Countryside Blvd # 310 Not For Sale - - - 1,110
2650 Countryside Blvd # 305c For Sale $59,900 2 2 1,110
2650 Countryside Blvd Apt B305 Not For Sale - - - 1,070
2650 Countryside Blvd # 309 Not For Sale - 2 2 1,110
2650 Countryside Blvd Apt A203 Not For Sale - - - 1,110
2650 Countryside Blvd Apt C305 Not For Sale - - - 1,110
2650 Countryside Blvd Apt B103 Not For Sale - 2 2 1,110
2650 Countryside Blvd Apt E103 Not For Sale - - - 1,110



TEGRA_table_txt_file: table_8472.txt
TEGRA_TABLE_TEXT: 2650 Countryside Blvd Not For Sale - - - 1,110
2650 Countryside Blvd Apt F310 Not For Sale - - - 1,110
2650 Countryside Blvd # 310 Not For Sale - - - 1,110
2650 Countryside Blvd # 305c For Sale $59,900 2 2 1,110
2650 Countryside Blvd Apt B305 Not For Sale - - - 1,070
2650 Countryside Blvd # 309 Not For Sale - 2 2 1,110
2650 Countryside Blvd Apt A203 Not For Sale - - - 1,110
2650 Countryside Blvd Apt C305 Not For Sale - - - 1,110
2650 Countryside Blvd Apt B103 Not For Sale - 2 2 1,110
2650 Countryside Blvd Apt E103 Not For Sale - - - 1,110
label: 2650 Countryside Blvd||Not For Sale||-||-||-||1,110
2650 Countryside Blvd Apt F310||Not For Sale||-||-||-||1,110
2650 Countryside Blvd # 310||Not For Sale||-||-||-||1,110
2650 Countryside Blvd # 305c||For Sale||$59,900||2||2||1,110
2650 Countryside Blvd Apt B305||Not For Sale||-||-||-||1,070
2650 Countryside Blvd # 309||Not For Sale||-||2||2||1,110
2650 Countryside Blvd Apt A203||Not For Sale||-||-||-||1,110
2650 Countryside Blvd Apt C305||Not For Sale||-||-||-||1,110
2650 Countryside Blvd Apt B103||Not For Sale||-||2||2||1,110
2650 Countryside Blvd Apt E103||Not For Sale||-||-||-||1,110
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:
22.09.2013 17:30 VfB Stuttgart 1 : 1 Eintracht Frankfurt
22.09.2013 15:30 SC Freiburg 1 : 1 Hertha Berlin
21.09.2013 18:30 Schalke 0 : 4 Bayern Monachium
21.09.2013 15:30 FSV Mainz 1 : 4 Bayer Leverkusen
21.09.2013 15:30 FC Norymberga 1 : 1 Borussia Dortmund
21.09.2013 15:30 VfL Wolfsburg 2 : 1 1899 Hoffenheim
21.09.2013 15:30 HSV Hamburg 0 : 2 Werder Brema
21.09.2013 15:30 Hannover 2 : 1 FC Augsburg



TEGRA_table_txt_file: table_6489.txt
TEGRA_TABLE_TEXT: 22.09.2013 17:30 VfB Stuttgart 1 : 1 Eintracht Frankfurt
22.09.2013 15:30 SC Freiburg 1 : 1 Hertha Berlin
21.09.2013 18:30 Schalke 0 : 4 Bayern Monachium
21.09.2013 15:30 FSV Mainz 1 : 4 Bayer Leverkusen
21.09.2013 15:30 FC Norymberga 1 : 1 Borussia Dortmund
21.09.2013 15:30 VfL Wolfsburg 2 : 1 1899 Hoffenheim
21.09.2013 15:30 HSV Hamburg 0 : 2 Werder Brema
21.09.2013 15:30 Hannover 2 : 1 FC Augsburg
label: 22.09.2013||17:30||VfB Stuttgart||1 : 1||Eintracht Frankfurt
22.09.2013||15:30||SC Freiburg||1 : 1||Hertha Berlin
21.09.2013||18:30||Schalke||0 : 4||Bayern Monachium
21.09.2013||15:30||FSV Mainz||1 : 4||Bayer Leverkusen
21.09.2013||15:30||FC Norymberga||1 : 1||Borussia Dortmund
21.09.2013||15:30||VfL Wolfsburg||2 : 1||1899 Hoffenheim
21.09.2013||15:30||HSV Hamburg||0 : 2||Werder Brema
21.09.2013||15:30||Hannover||2 : 1||FC Augsburg
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:
Cyber Green Metallic Available Available Available
Galactic Blue Pearl Available Available Available
Harvest Moon Beige Available Available Available
Mellow Yellow Available Available Available
Platinum Grey Metallic Available Available Available
Reflex Silver Metallic Available Available Available
Sundown Orange Available Available Available
Uni Black Available Available Available



TEGRA_table_txt_file: table_5051.txt
TEGRA_TABLE_TEXT: Cyber Green Metallic Available Available Available
Galactic Blue Pearl Available Available Available
Harvest Moon Beige Available Available Available
Mellow Yellow Available Available Available
Platinum Grey Metallic Available Available Available
Reflex Silver Metallic Available Available Available
Sundown Orange Available Available Available
Uni Black Available Available Available
label: Cyber Green Metallic||Available||Available||Available
Galactic Blue Pearl||Available||Available||Available
Harvest Moon Beige||Available||Available||Available
Mellow Yellow||Available||Available||Available
Platinum Grey Metallic||Available||Available||Available
Reflex Silver Metallic||Available||Available||Available
Sundown Orange||Available||Available||Available
Uni Black||Available||Available||Available
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:
Select GLEN HURT COUNTY 01/21/1992 01/21/2014
Select LT. COL. MICHAEL STANSKY FORT CHAFFEE 01/17/2006 01/21/2014
Select HUGH HARDGRAVE, MAYOR COUNTY 11/20/2011 01/21/2014
Select BRUCE D. KING CITY 03/16/2010 01/21/2014
Select SANDY SANDERS CITY 01/04/2011 01/21/2015
Select ANDREW GALBACH CITY 02/21/2012 01/21/2015
Select KEITH LAU CITY 01/15/2013 01/21/2016



TEGRA_table_txt_file: table_5546.txt
TEGRA_TABLE_TEXT: Select GLEN HURT COUNTY 01/21/1992 01/21/2014
Select LT. COL. MICHAEL STANSKY FORT CHAFFEE 01/17/2006 01/21/2014
Select HUGH HARDGRAVE, MAYOR COUNTY 11/20/2011 01/21/2014
Select BRUCE D. KING CITY 03/16/2010 01/21/2014
Select SANDY SANDERS CITY 01/04/2011 01/21/2015
Select ANDREW GALBACH CITY 02/21/2012 01/21/2015
Select KEITH LAU CITY 01/15/2013 01/21/2016
label: Select||GLEN HURT||COUNTY||01/21/1992||01/21/2014
Select||LT. COL. MICHAEL STANSKY||FORT CHAFFEE||01/17/2006||01/21/2014
Select||HUGH HARDGRAVE, MAYOR||COUNTY||11/20/2011||01/21/2014
Select||BRUCE D. KING||CITY||03/16/2010||01/21/2014
Select||SANDY SANDERS||CITY||01/04/2011||01/21/2015
Select||ANDREW GALBACH||CITY||02/21/2012||01/21/2015
Select||KEITH LAU||CITY||01/15/2013||01/21/2016
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:
B1 170 340 140 190 180 360
B2 230 190 330 340 140 410
B3 260 220 520 150 360 230
B4 310 300 120 380 170 390
B5 120 210 390 420 300 100
B6 350 360 250 170 110 250
B7 290 320 100 310 320 310
B8 270 460 310 250 470 350
B9 400 250 430 390 490 220



TEGRA_table_txt_file: table_4670.txt
TEGRA_TABLE_TEXT: B1 170 340 140 190 180 360
B2 230 190 330 340 140 410
B3 260 220 520 150 360 230
B4 310 300 120 380 170 390
B5 120 210 390 420 300 100
B6 350 360 250 170 110 250
B7 290 320 100 310 320 310
B8 270 460 310 250 470 350
B9 400 250 430 390 490 220
label: B1||170||340||140||190||180||360
B2||230||190||330||340||140||410
B3||260||220||520||150||360||230
B4||310||300||120||380||170||390
B5||120||210||390||420||300||100
B6||350||360||250||170||110||250
B7||290||320||100||310||320||310
B8||270||460||310||250||470||350
B9||400||250||430||390||490||220
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:
Fe 1043
FeOFe2O3* 858
NiOFe2O3* 858
CuOFe2O3* 728
MgOFe2O3* 713
MnBi 630
Ni 627
MnSb 587
MnOFe2O3* 573
Y3Fe5O12* 560
CrO2 386
MnAs 318
Gd 292
Dy 88



TEGRA_table_txt_file: table_5684.txt
TEGRA_TABLE_TEXT: Fe 1043
FeOFe2O3* 858
NiOFe2O3* 858
CuOFe2O3* 728
MgOFe2O3* 713
MnBi 630
Ni 627
MnSb 587
MnOFe2O3* 573
Y3Fe5O12* 560
CrO2 386
MnAs 318
Gd 292
Dy 88
label: Fe||1043
FeOFe2O3*||858
NiOFe2O3*||858
CuOFe2O3*||728
MgOFe2O3*||713
MnBi||630
Ni||627
MnSb||587
MnOFe2O3*||573
Y3Fe5O12*||560
CrO2||386
MnAs||318
Gd||292
Dy||88