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:
2 BAYLOR BEARS 8 1 0 .889 9 155 26
3 TEXAS TECH RED RAIDERS 8 2 0 .800 10 162 77
4 IOWA ST. CYCLONES 6 3 0 .667 9 152 103
5 MISSOURI TIGERS 5 4 0 .556 9 130 129
6 KANSAS ST. WILDCATS 4 4 1 .500 9 97 128
7 KANSAS JAYHAWKS 3 6 0 .333 9 107 126
8 TCU HORNED FROGS 2 7 0 .222 9 62 153
9 TEXAS LONGHORNS 2 7 0 .222 9 84 156
10 OKLAHOMA ST. COWBOYS 1 7 1 .167 9 74 172



TEGRA_table_txt_file: table_8910.txt
TEGRA_TABLE_TEXT: 2 BAYLOR BEARS 8 1 0 .889 9 155 26
3 TEXAS TECH RED RAIDERS 8 2 0 .800 10 162 77
4 IOWA ST. CYCLONES 6 3 0 .667 9 152 103
5 MISSOURI TIGERS 5 4 0 .556 9 130 129
6 KANSAS ST. WILDCATS 4 4 1 .500 9 97 128
7 KANSAS JAYHAWKS 3 6 0 .333 9 107 126
8 TCU HORNED FROGS 2 7 0 .222 9 62 153
9 TEXAS LONGHORNS 2 7 0 .222 9 84 156
10 OKLAHOMA ST. COWBOYS 1 7 1 .167 9 74 172
label: 2||BAYLOR BEARS||8||1||0||.889||9||155||26
3||TEXAS TECH RED RAIDERS||8||2||0||.800||10||162||77
4||IOWA ST. CYCLONES||6||3||0||.667||9||152||103
5||MISSOURI TIGERS||5||4||0||.556||9||130||129
6||KANSAS ST. WILDCATS||4||4||1||.500||9||97||128
7||KANSAS JAYHAWKS||3||6||0||.333||9||107||126
8||TCU HORNED FROGS||2||7||0||.222||9||62||153
9||TEXAS LONGHORNS||2||7||0||.222||9||84||156
10||OKLAHOMA ST. COWBOYS||1||7||1||.167||9||74||172
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
XS 34 78 - 81 62 - 64 86 - 89
S 36 82 - 85 65 - 67 93 - 96
M 38 86 - 89 68 - 71 97 - 100
L 40 90 - 93 72 - 75 101 - 104
XL 42 94 - 97 76 - 79 105 - 107
XXL 44 98 - 101 80 - 84 108 - 112



TEGRA_table_txt_file: table_3842.txt
TEGRA_TABLE_TEXT: XS 34 78 - 81 62 - 64 86 - 89
S 36 82 - 85 65 - 67 93 - 96
M 38 86 - 89 68 - 71 97 - 100
L 40 90 - 93 72 - 75 101 - 104
XL 42 94 - 97 76 - 79 105 - 107
XXL 44 98 - 101 80 - 84 108 - 112
label: XS||34||78 - 81||62 - 64||86 - 89
S||36||82 - 85||65 - 67||93 - 96
M||38||86 - 89||68 - 71||97 - 100
L||40||90 - 93||72 - 75||101 - 104
XL||42||94 - 97||76 - 79||105 - 107
XXL||44||98 - 101||80 - 84||108 - 112
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:
DATE DATE $450 $540
DATE-JUST DATE-JUST/DATE-JUST TURNOGRAF/PEARLMASTER $495 $595
DAY-DATE DAY-DATE/DAY-DATE II/SPECIAL EDITION $640 $730
PROFESSIONAL SUBMARINER/SEADWELER/GMT MASTER/EXPLORER $510 $600
COSMOGRAPH COSMOGRAPH DAYTONA $640 $950
YACHTMASTER YACHTMASTER $610 
CELLINI CELLINI QUARTZ AND MANUAL $430 $550



TEGRA_table_txt_file: table_1871.txt
TEGRA_TABLE_TEXT: DATE DATE $450 $540
DATE-JUST DATE-JUST/DATE-JUST TURNOGRAF/PEARLMASTER $495 $595
DAY-DATE DAY-DATE/DAY-DATE II/SPECIAL EDITION $640 $730
PROFESSIONAL SUBMARINER/SEADWELER/GMT MASTER/EXPLORER $510 $600
COSMOGRAPH COSMOGRAPH DAYTONA $640 $950
YACHTMASTER YACHTMASTER $610 
CELLINI CELLINI QUARTZ AND MANUAL $430 $550
label: DATE||DATE||$450||$540
DATE-JUST||DATE-JUST/DATE-JUST TURNOGRAF/PEARLMASTER||$495||$595
DAY-DATE||DAY-DATE/DAY-DATE II/SPECIAL EDITION||$640||$730
PROFESSIONAL||SUBMARINER/SEADWELER/GMT MASTER/EXPLORER||$510||$600
COSMOGRAPH||COSMOGRAPH DAYTONA||$640||$950
YACHTMASTER||YACHTMASTER||$610||
CELLINI||CELLINI QUARTZ AND MANUAL||$430||$550
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:
Februar -4,2° - - 8
Mars 0,7° - - 8
April 8,7° - - 7
Mai 15,1° - - 7
Juni 18,2° - - 9
Juli 19,3° - - 9
August 18,6° - - 7
September 13,9° - - 7
Oktober 8,1° - - 6
November 2,1° - - 9



TEGRA_table_txt_file: table_5677.txt
TEGRA_TABLE_TEXT: Februar -4,2° - - 8
Mars 0,7° - - 8
April 8,7° - - 7
Mai 15,1° - - 7
Juni 18,2° - - 9
Juli 19,3° - - 9
August 18,6° - - 7
September 13,9° - - 7
Oktober 8,1° - - 6
November 2,1° - - 9
label: Februar||-4,2°||-||-||8
Mars||0,7°||-||-||8
April||8,7°||-||-||7
Mai||15,1°||-||-||7
Juni||18,2°||-||-||9
Juli||19,3°||-||-||9
August||18,6°||-||-||7
September||13,9°||-||-||7
Oktober||8,1°||-||-||6
November||2,1°||-||-||9
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
416.gamess Fortran Quantum Chemistry
433.milc C Physics: Quantum Chromodynamics
434.zeusmp Fortran Physics/CFD
435.gromacs C/Fortran Biochemistry/Molecular Dynamics
436.cactusADM C/Fortran Physics/General Relativity
437.leslie3d Fortran Fluid Dynamics
444.namd C++ Biology/Molecular Dynamics
447.dealII C++ Finite Element Analysis
450.soplex C++ Linear Programming, Optimization
453.povray C++ Image Ray-tracing
454.calculix C/Fortran Structural Mechanics
459.GemsFDTD Fortran Computational Electromagnetics
465.tonto Fortran Quantum Chemistry
470.lbm C Fluid Dynamics
481.wrf C/Fortran Weather Prediction



TEGRA_table_txt_file: table_8960.txt
TEGRA_TABLE_TEXT: 416.gamess Fortran Quantum Chemistry
433.milc C Physics: Quantum Chromodynamics
434.zeusmp Fortran Physics/CFD
435.gromacs C/Fortran Biochemistry/Molecular Dynamics
436.cactusADM C/Fortran Physics/General Relativity
437.leslie3d Fortran Fluid Dynamics
444.namd C++ Biology/Molecular Dynamics
447.dealII C++ Finite Element Analysis
450.soplex C++ Linear Programming, Optimization
453.povray C++ Image Ray-tracing
454.calculix C/Fortran Structural Mechanics
459.GemsFDTD Fortran Computational Electromagnetics
465.tonto Fortran Quantum Chemistry
470.lbm C Fluid Dynamics
481.wrf C/Fortran Weather Prediction
label: 416.gamess||Fortran||Quantum Chemistry
433.milc||C||Physics: Quantum Chromodynamics
434.zeusmp||Fortran||Physics/CFD
435.gromacs||C/Fortran||Biochemistry/Molecular Dynamics
436.cactusADM||C/Fortran||Physics/General Relativity
437.leslie3d||Fortran||Fluid Dynamics
444.namd||C++||Biology/Molecular Dynamics
447.dealII||C++||Finite Element Analysis
450.soplex||C++||Linear Programming, Optimization
453.povray||C++||Image Ray-tracing
454.calculix||C/Fortran||Structural Mechanics
459.GemsFDTD||Fortran||Computational Electromagnetics
465.tonto||Fortran||Quantum Chemistry
470.lbm||C||Fluid Dynamics
481.wrf||C/Fortran||Weather Prediction
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:
H. influenzae 23 % 34 % 19 % 18 %
B. catarrhalis 25 % 2 % - -
Entérobactéries 8 % 7 % 14 % 10 %
P. aeruginosa - - 11 % -
S. aureus 8 % - 13 % 34 %
Streptocoque Groupe B/A 6 % 10 % 4 % -



TEGRA_table_txt_file: table_1230.txt
TEGRA_TABLE_TEXT: H. influenzae 23 % 34 % 19 % 18 %
B. catarrhalis 25 % 2 % - -
Entérobactéries 8 % 7 % 14 % 10 %
P. aeruginosa - - 11 % -
S. aureus 8 % - 13 % 34 %
Streptocoque Groupe B/A 6 % 10 % 4 % -
label: H. influenzae||23 %||34 %||19 %||18 %
B. catarrhalis||25 %||2 %||-||-
Entérobactéries||8 %||7 %||14 %||10 %
P. aeruginosa||-||-||11 %||-
S. aureus||8 %||-||13 %||34 %
Streptocoque Groupe B/A||6 %||10 %||4 %||-
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
Doncaster 15 Jul, 10 04 Aug, 12 Free 64 (4) 4 0 (0) 0 2 (0) 0 0 (0) 0
Doncaster 10 Oct, 09 01 Jan, 10 Loan 10 (1) 0 0 (0) 0 0 (0) 0 0 (0) 0
Yeovil 21 Sep, 07 21 Nov, 07 Loan 3 (1) 0 0 (0) 0 0 (0) 0 0 (1) 0
Blackpool 30 Jan, 07 28 May, 07 Loan 7 (10) 0 0 (0) 0 0 (0) 0 0 (2) 0
Bournemouth 22 Nov, 06 02 Jan, 07 Loan 7 (0) 1 0 (0) 0 0 (0) 0 0 (0) 0
Blackpool 09 Aug, 06 09 Nov, 06 Loan 13 (1) 1 0 (0) 0 0 (0) 0 1 (0) 1
Walsall 30 Sep, 05 10 Oct, 05 Loan 2 (0) 0 0 (0) 0 0 (0) 0 0 (0) 0
Southampton 20 Sep, 05 15 Jul, 10 Trainee 23 (8) 0 1 (2) 0 2 (1) 0 1 (1) 0
Totals   #0 153 (26) 6 2 (2) 0 7 (1) 0 2 (4) 1



TEGRA_table_txt_file: table_4409.txt
TEGRA_TABLE_TEXT: Doncaster 15 Jul, 10 04 Aug, 12 Free 64 (4) 4 0 (0) 0 2 (0) 0 0 (0) 0
Doncaster 10 Oct, 09 01 Jan, 10 Loan 10 (1) 0 0 (0) 0 0 (0) 0 0 (0) 0
Yeovil 21 Sep, 07 21 Nov, 07 Loan 3 (1) 0 0 (0) 0 0 (0) 0 0 (1) 0
Blackpool 30 Jan, 07 28 May, 07 Loan 7 (10) 0 0 (0) 0 0 (0) 0 0 (2) 0
Bournemouth 22 Nov, 06 02 Jan, 07 Loan 7 (0) 1 0 (0) 0 0 (0) 0 0 (0) 0
Blackpool 09 Aug, 06 09 Nov, 06 Loan 13 (1) 1 0 (0) 0 0 (0) 0 1 (0) 1
Walsall 30 Sep, 05 10 Oct, 05 Loan 2 (0) 0 0 (0) 0 0 (0) 0 0 (0) 0
Southampton 20 Sep, 05 15 Jul, 10 Trainee 23 (8) 0 1 (2) 0 2 (1) 0 1 (1) 0
Totals   #0 153 (26) 6 2 (2) 0 7 (1) 0 2 (4) 1
label: Doncaster||15 Jul, 10||04 Aug, 12||Free||64 (4)||4||0 (0)||0||2 (0)||0||0 (0)||0
Doncaster||10 Oct, 09||01 Jan, 10||Loan||10 (1)||0||0 (0)||0||0 (0)||0||0 (0)||0
Yeovil||21 Sep, 07||21 Nov, 07||Loan||3 (1)||0||0 (0)||0||0 (0)||0||0 (1)||0
Blackpool||30 Jan, 07||28 May, 07||Loan||7 (10)||0||0 (0)||0||0 (0)||0||0 (2)||0
Bournemouth||22 Nov, 06||02 Jan, 07||Loan||7 (0)||1||0 (0)||0||0 (0)||0||0 (0)||0
Blackpool||09 Aug, 06||09 Nov, 06||Loan||13 (1)||1||0 (0)||0||0 (0)||0||1 (0)||1
Walsall||30 Sep, 05||10 Oct, 05||Loan||2 (0)||0||0 (0)||0||0 (0)||0||0 (0)||0
Southampton||20 Sep, 05||15 Jul, 10||Trainee||23 (8)||0||1 (2)||0||2 (1)||0||1 (1)||0
Totals||||||#0||153 (26)||6||2 (2)||0||7 (1)||0||2 (4)||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:
26.08.2013 21:00 Granada CF 0 : 1 Real Madryt
25.08.2013 23:00 Betis Sewilla 1 : 2 Celta Vigo
25.08.2013 21:00 Levante 0 : 0 Sevilla
25.08.2013 21:00 Malaga 0 : 1 FC Barcelona
25.08.2013 19:00 Atletico Madryt 5 : 0 Rayo Vallecano
24.08.2013 23:00 Villarreal 2 : 1 Real Valladolid
24.08.2013 21:00 Espanyol 3 : 1 Valencia
24.08.2013 19:00 Elche CF 1 : 1 Real Sociedad
23.08.2013 22:00 Athletic Bilbao 2 : 0 Osasuna



TEGRA_table_txt_file: table_9280.txt
TEGRA_TABLE_TEXT: 26.08.2013 21:00 Granada CF 0 : 1 Real Madryt
25.08.2013 23:00 Betis Sewilla 1 : 2 Celta Vigo
25.08.2013 21:00 Levante 0 : 0 Sevilla
25.08.2013 21:00 Malaga 0 : 1 FC Barcelona
25.08.2013 19:00 Atletico Madryt 5 : 0 Rayo Vallecano
24.08.2013 23:00 Villarreal 2 : 1 Real Valladolid
24.08.2013 21:00 Espanyol 3 : 1 Valencia
24.08.2013 19:00 Elche CF 1 : 1 Real Sociedad
23.08.2013 22:00 Athletic Bilbao 2 : 0 Osasuna
label: 26.08.2013||21:00||Granada CF||0 : 1||Real Madryt
25.08.2013||23:00||Betis Sewilla||1 : 2||Celta Vigo
25.08.2013||21:00||Levante||0 : 0||Sevilla
25.08.2013||21:00||Malaga||0 : 1||FC Barcelona
25.08.2013||19:00||Atletico Madryt||5 : 0||Rayo Vallecano
24.08.2013||23:00||Villarreal||2 : 1||Real Valladolid
24.08.2013||21:00||Espanyol||3 : 1||Valencia
24.08.2013||19:00||Elche CF||1 : 1||Real Sociedad
23.08.2013||22:00||Athletic Bilbao||2 : 0||Osasuna
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:
D L M M G V S
  1 2 3 4 5
6 7 8 9 10 11 12
13 14 15 16 17 18 19
20 21 22 23 24 25 26



TEGRA_table_txt_file: table_7052.txt
TEGRA_TABLE_TEXT: D L M M G V S
  1 2 3 4 5
6 7 8 9 10 11 12
13 14 15 16 17 18 19
20 21 22 23 24 25 26
label: D||L||M||M||G||V||S
||||1||2||3||4||5
6||7||8||9||10||11||12
13||14||15||16||17||18||19
20||21||22||23||24||25||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:
Ridgecrest Elementary School K - 5 PUBLIC
Westlawn Middle School 5 - 8 PUBLIC
Senior Butler High School 9 - 12 PUBLIC
McDonnell Elementary School K - 5 PUBLIC
Valley Fellowship Christian Academy K - 12 PRIVATE
The Seldon Center K - 12 PUBLIC
Grace Lutheran School K - 8 PRIVATE
Louis J Morris Elementary School K - 5 PUBLIC



TEGRA_table_txt_file: table_8506.txt
TEGRA_TABLE_TEXT: Ridgecrest Elementary School K - 5 PUBLIC
Westlawn Middle School 5 - 8 PUBLIC
Senior Butler High School 9 - 12 PUBLIC
McDonnell Elementary School K - 5 PUBLIC
Valley Fellowship Christian Academy K - 12 PRIVATE
The Seldon Center K - 12 PUBLIC
Grace Lutheran School K - 8 PRIVATE
Louis J Morris Elementary School K - 5 PUBLIC
label: Ridgecrest Elementary School||K - 5||PUBLIC
Westlawn Middle School||5 - 8||PUBLIC
Senior Butler High School||9 - 12||PUBLIC
McDonnell Elementary School||K - 5||PUBLIC
Valley Fellowship Christian Academy||K - 12||PRIVATE
The Seldon Center||K - 12||PUBLIC
Grace Lutheran School||K - 8||PRIVATE
Louis J Morris 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:
09/07/13 Southern Miss W, 56-13
09/14/13 UCLA L, 21-41
09/21/13 S. Dakota State W, 59-20
10/05/13 Illinois W, 39-19
10/12/13 @ Purdue W, 44-7
10/26/13 @ Minnesota 11:00
11/02/13 Northwestern TBA
11/09/13 @ Michigan TBA
11/16/13 Michigan State TBA
11/23/13 @ Penn State TBA
11/23/13 @ Iowa 11:00



TEGRA_table_txt_file: table_5675.txt
TEGRA_TABLE_TEXT: 09/07/13 Southern Miss W, 56-13
09/14/13 UCLA L, 21-41
09/21/13 S. Dakota State W, 59-20
10/05/13 Illinois W, 39-19
10/12/13 @ Purdue W, 44-7
10/26/13 @ Minnesota 11:00
11/02/13 Northwestern TBA
11/09/13 @ Michigan TBA
11/16/13 Michigan State TBA
11/23/13 @ Penn State TBA
11/23/13 @ Iowa 11:00
label: 09/07/13||Southern Miss||W, 56-13
09/14/13||UCLA||L, 21-41
09/21/13||S. Dakota State||W, 59-20
10/05/13||Illinois||W, 39-19
10/12/13||@ Purdue||W, 44-7
10/26/13||@ Minnesota||11:00
11/02/13||Northwestern||TBA
11/09/13||@ Michigan||TBA
11/16/13||Michigan State||TBA
11/23/13||@ Penn State||TBA
11/23/13||@ Iowa||11:00
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
7.5 6.5 40 25.5 10
8 7 40 2/3 26 10 1/4
8.5 7.5 41 1/3 26.5 10 3/7
9 8 42 27 10 5/8
9.5 8.5 42 2/3 27.5 10 5/6
10 9 43 1/3 28 11
10.5 9.5 44 28.5 11 2/9
11 10 44 2/3 29 11 3/7
11.5 10.5 45 1/3 29.5 11 3/5
12 11 46 30 11 4/5
12.5 11.5 46 2/3 30.5 12
13 12 47 1/3 31 12 1/5
14 13 48 2/3 32 12 3/5



TEGRA_table_txt_file: table_3906.txt
TEGRA_TABLE_TEXT: 7.5 6.5 40 25.5 10
8 7 40 2/3 26 10 1/4
8.5 7.5 41 1/3 26.5 10 3/7
9 8 42 27 10 5/8
9.5 8.5 42 2/3 27.5 10 5/6
10 9 43 1/3 28 11
10.5 9.5 44 28.5 11 2/9
11 10 44 2/3 29 11 3/7
11.5 10.5 45 1/3 29.5 11 3/5
12 11 46 30 11 4/5
12.5 11.5 46 2/3 30.5 12
13 12 47 1/3 31 12 1/5
14 13 48 2/3 32 12 3/5
label: 7.5||6.5||40||25.5||10
8||7||40 2/3||26||10 1/4
8.5||7.5||41 1/3||26.5||10 3/7
9||8||42||27||10 5/8
9.5||8.5||42 2/3||27.5||10 5/6
10||9||43 1/3||28||11
10.5||9.5||44||28.5||11 2/9
11||10||44 2/3||29||11 3/7
11.5||10.5||45 1/3||29.5||11 3/5
12||11||46||30||11 4/5
12.5||11.5||46 2/3||30.5||12
13||12||47 1/3||31||12 1/5
14||13||48 2/3||32||12 3/5
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:
Individual all-around Li Jing China (CHN) Guo Linyao China (CHN) Li Xiaoshuang China (CHN)
Floor exercise Li Xiaoshuang China (CHN) Li Chunyang China (CHN) Sin Myong-Su North Korea (PRK)
Pommel horse Guo Linyao China (CHN) Li Jing China (CHN) Pae Gil-Su North Korea (PRK)
Chang Feng-chih Chinese Taipei (TPE)   
Rings Li Ge China (CHN) Li Chunyang China (CHN) Sin Myong-Su North Korea (PRK)
Masayuki Matsunaga Japan (JPN)   
Vault Li Jing China (CHN) Lee Joo-Hyung South Korea (KOR) Chang Feng-chih Chinese Taipei (TPE)
Parallel bars Guo Linyao China (CHN) Shared gold Li Jing China (CHN)
Lee Joo-Hyung South Korea (KOR) Toshiharu Sato Japan (JPN)  



TEGRA_table_txt_file: table_1278.txt
TEGRA_TABLE_TEXT: Individual all-around Li Jing China (CHN) Guo Linyao China (CHN) Li Xiaoshuang China (CHN)
Floor exercise Li Xiaoshuang China (CHN) Li Chunyang China (CHN) Sin Myong-Su North Korea (PRK)
Pommel horse Guo Linyao China (CHN) Li Jing China (CHN) Pae Gil-Su North Korea (PRK)
Chang Feng-chih Chinese Taipei (TPE)   
Rings Li Ge China (CHN) Li Chunyang China (CHN) Sin Myong-Su North Korea (PRK)
Masayuki Matsunaga Japan (JPN)   
Vault Li Jing China (CHN) Lee Joo-Hyung South Korea (KOR) Chang Feng-chih Chinese Taipei (TPE)
Parallel bars Guo Linyao China (CHN) Shared gold Li Jing China (CHN)
Lee Joo-Hyung South Korea (KOR) Toshiharu Sato Japan (JPN)  
label: Individual all-around||Li Jing China (CHN)||Guo Linyao China (CHN)||Li Xiaoshuang China (CHN)
Floor exercise||Li Xiaoshuang China (CHN)||Li Chunyang China (CHN)||Sin Myong-Su North Korea (PRK)
Pommel horse||Guo Linyao China (CHN)||Li Jing China (CHN)||Pae Gil-Su North Korea (PRK)
Chang Feng-chih Chinese Taipei (TPE)||||||
Rings||Li Ge China (CHN)||Li Chunyang China (CHN)||Sin Myong-Su North Korea (PRK)
Masayuki Matsunaga Japan (JPN)||||||
Vault||Li Jing China (CHN)||Lee Joo-Hyung South Korea (KOR)||Chang Feng-chih Chinese Taipei (TPE)
Parallel bars||Guo Linyao China (CHN)||Shared gold||Li Jing China (CHN)
Lee Joo-Hyung South Korea (KOR)||Toshiharu Sato Japan (JPN)||||
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:
Mon Tue Wed Thu Fri Sat Sun
 1 2 3 4 5 6
7 8 9 10 11 12 13
14 15 16 17 18 19 20
21 22 23 24 25 26 27



TEGRA_table_txt_file: table_8137.txt
TEGRA_TABLE_TEXT: Mon Tue Wed Thu Fri Sat Sun
 1 2 3 4 5 6
7 8 9 10 11 12 13
14 15 16 17 18 19 20
21 22 23 24 25 26 27
label: Mon||Tue||Wed||Thu||Fri||Sat||Sun
||1||2||3||4||5||6
7||8||9||10||11||12||13
14||15||16||17||18||19||20
21||22||23||24||25||26||27
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 USV Niederleis 10 29:13 16 21
3 FC Neudorf 10 30:20 10 18
4 SC Stronsdorf 10 22:14 8 18
5 SV Stetten 10 19:16 3 17
6 1. FC Bisamberg 10 22:16 6 15
7 UFC Gaubitsch 10 21:24 -3 15
8 FC Purkersdorf 10 17:18 -1 11
9 SK Tulbing 10 17:21 -4 11
10 SV Hausleiten 10 16:22 -6 11
11 Mauerbach SC 10 24:26 -2 10
12 SK Wullersdorf 10 15:24 -9 10
13 SU Grabern 10 11:28 -17 7



TEGRA_table_txt_file: table_771.txt
TEGRA_TABLE_TEXT: 2 USV Niederleis 10 29:13 16 21
3 FC Neudorf 10 30:20 10 18
4 SC Stronsdorf 10 22:14 8 18
5 SV Stetten 10 19:16 3 17
6 1. FC Bisamberg 10 22:16 6 15
7 UFC Gaubitsch 10 21:24 -3 15
8 FC Purkersdorf 10 17:18 -1 11
9 SK Tulbing 10 17:21 -4 11
10 SV Hausleiten 10 16:22 -6 11
11 Mauerbach SC 10 24:26 -2 10
12 SK Wullersdorf 10 15:24 -9 10
13 SU Grabern 10 11:28 -17 7
label: 2||USV Niederleis||10||29:13||16||21
3||FC Neudorf||10||30:20||10||18
4||SC Stronsdorf||10||22:14||8||18
5||SV Stetten||10||19:16||3||17
6||1. FC Bisamberg||10||22:16||6||15
7||UFC Gaubitsch||10||21:24||-3||15
8||FC Purkersdorf||10||17:18||-1||11
9||SK Tulbing||10||17:21||-4||11
10||SV Hausleiten||10||16:22||-6||11
11||Mauerbach SC||10||24:26||-2||10
12||SK Wullersdorf||10||15:24||-9||10
13||SU Grabern||10||11:28||-17||7
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:
Pre-Complaint Process    
Completed/Ended Counselings 2 7 5 11
Offered ADR 2 7 5 11
Processed and Completed (Participations) 1 0 2 2
Resolutions (Settlements and Withdrawals) 0 0 2 2
Formal Complaint Process    
Complaints Clousures 2 5 5 4
Offered ADR 0 0 0 1
Processed and Completed (Participations) 0 0 0 1



TEGRA_table_txt_file: table_9803.txt
TEGRA_TABLE_TEXT: Pre-Complaint Process    
Completed/Ended Counselings 2 7 5 11
Offered ADR 2 7 5 11
Processed and Completed (Participations) 1 0 2 2
Resolutions (Settlements and Withdrawals) 0 0 2 2
Formal Complaint Process    
Complaints Clousures 2 5 5 4
Offered ADR 0 0 0 1
Processed and Completed (Participations) 0 0 0 1
label: Pre-Complaint Process||||||||
Completed/Ended Counselings||2||7||5||11
Offered ADR||2||7||5||11
Processed and Completed (Participations)||1||0||2||2
Resolutions (Settlements and Withdrawals)||0||0||2||2
Formal Complaint Process||||||||
Complaints Clousures||2||5||5||4
Offered ADR||0||0||0||1
Processed and Completed (Participations)||0||0||0||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:
Novo Nordisk B 1,29 +12,50 985,00
TDC 1,20 +0,60 50,40
A.P. Møller - Mærsk B 1,13 +600,00 53800,00
DSV 1,08 +1,70 158,70
A.P. Møller - Mærsk A 1,00 +500,00 50600,00
Jyske Bank 0,95 +2,90 307,30
Tryg 0,86 +4,50 525,00
GN Store Nord 0,85 +1,10 129,80
William Demant Holding 0,84 +4,50 537,50
Pandora A/S -2,15 -5,60 254,40
Vestas Wind Systems -1,65 -2,50 148,90
Coloplast B -1,34 -4,40 323,40
Carlsberg B -1,22 -7,00 565,00
H. Lundbeck -0,43 -0,50 116,50
Topdanmark 0,26 +0,40 155,20
FLSmidth & Co 0,35 +1,00 284,70
Novozymes B 0,59 +1,30 220,80
Chr. Hansen Holding 0,78 +1,60 207,30



TEGRA_table_txt_file: table_5663.txt
TEGRA_TABLE_TEXT: Novo Nordisk B 1,29 +12,50 985,00
TDC 1,20 +0,60 50,40
A.P. Møller - Mærsk B 1,13 +600,00 53800,00
DSV 1,08 +1,70 158,70
A.P. Møller - Mærsk A 1,00 +500,00 50600,00
Jyske Bank 0,95 +2,90 307,30
Tryg 0,86 +4,50 525,00
GN Store Nord 0,85 +1,10 129,80
William Demant Holding 0,84 +4,50 537,50
Pandora A/S -2,15 -5,60 254,40
Vestas Wind Systems -1,65 -2,50 148,90
Coloplast B -1,34 -4,40 323,40
Carlsberg B -1,22 -7,00 565,00
H. Lundbeck -0,43 -0,50 116,50
Topdanmark 0,26 +0,40 155,20
FLSmidth & Co 0,35 +1,00 284,70
Novozymes B 0,59 +1,30 220,80
Chr. Hansen Holding 0,78 +1,60 207,30
label: Novo Nordisk B||1,29||+12,50||985,00
TDC||1,20||+0,60||50,40
A.P. Møller - Mærsk B||1,13||+600,00||53800,00
DSV||1,08||+1,70||158,70
A.P. Møller - Mærsk A||1,00||+500,00||50600,00
Jyske Bank||0,95||+2,90||307,30
Tryg||0,86||+4,50||525,00
GN Store Nord||0,85||+1,10||129,80
William Demant Holding||0,84||+4,50||537,50
Pandora A/S||-2,15||-5,60||254,40
Vestas Wind Systems||-1,65||-2,50||148,90
Coloplast B||-1,34||-4,40||323,40
Carlsberg B||-1,22||-7,00||565,00
H. Lundbeck||-0,43||-0,50||116,50
Topdanmark||0,26||+0,40||155,20
FLSmidth & Co||0,35||+1,00||284,70
Novozymes B||0,59||+1,30||220,80
Chr. Hansen Holding||0,78||+1,60||207,30
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:
 Rushing Passing Total          
 PPG Half FD TOP ATT-YDS YPR CMP-ATT PCT YDS PYA ATT-YDS YPP YPPT
Offense (All Games) 22.7 9.3 21.0 29:08 41-174 (4.2) 19-37 51.4% 212 (5.7) 79-387 (4.9) (17)
Opponents Defensive Avg. 28.2 13.9 21.3 30:46 39-165 (4.2) 20-34 59.9% 240 (7.1) 73-405 (5.5) (14.3)
Offense Home Games 24.2 6.8 24.5 29:31 42-172 (4.1) 22-43 51.7% 241 (5.6) 85-413 (4.9) (17.1)
Defense (All Games) 29.4 16.9 22.8 30:52 43-193 (4.5) 19-33 56.7% 234 (7.2) 75-427 (5.7) (14.5)
Opponents Offensive Avg. 32.2 16.5 22.4 30:07 40-170 (4.3) 21-34 61.9% 250 (7.4) 73-420 (5.7) (13)



TEGRA_table_txt_file: table_7109.txt
TEGRA_TABLE_TEXT:  Rushing Passing Total          
 PPG Half FD TOP ATT-YDS YPR CMP-ATT PCT YDS PYA ATT-YDS YPP YPPT
Offense (All Games) 22.7 9.3 21.0 29:08 41-174 (4.2) 19-37 51.4% 212 (5.7) 79-387 (4.9) (17)
Opponents Defensive Avg. 28.2 13.9 21.3 30:46 39-165 (4.2) 20-34 59.9% 240 (7.1) 73-405 (5.5) (14.3)
Offense Home Games 24.2 6.8 24.5 29:31 42-172 (4.1) 22-43 51.7% 241 (5.6) 85-413 (4.9) (17.1)
Defense (All Games) 29.4 16.9 22.8 30:52 43-193 (4.5) 19-33 56.7% 234 (7.2) 75-427 (5.7) (14.5)
Opponents Offensive Avg. 32.2 16.5 22.4 30:07 40-170 (4.3) 21-34 61.9% 250 (7.4) 73-420 (5.7) (13)
label: ||Rushing||Passing||Total||||||||||||||||||||
||PPG||Half||FD||TOP||ATT-YDS||YPR||CMP-ATT||PCT||YDS||PYA||ATT-YDS||YPP||YPPT
Offense (All Games)||22.7||9.3||21.0||29:08||41-174||(4.2)||19-37||51.4%||212||(5.7)||79-387||(4.9)||(17)
Opponents Defensive Avg.||28.2||13.9||21.3||30:46||39-165||(4.2)||20-34||59.9%||240||(7.1)||73-405||(5.5)||(14.3)
Offense Home Games||24.2||6.8||24.5||29:31||42-172||(4.1)||22-43||51.7%||241||(5.6)||85-413||(4.9)||(17.1)
Defense (All Games)||29.4||16.9||22.8||30:52||43-193||(4.5)||19-33||56.7%||234||(7.2)||75-427||(5.7)||(14.5)
Opponents Offensive Avg.||32.2||16.5||22.4||30:07||40-170||(4.3)||21-34||61.9%||250||(7.4)||73-420||(5.7)||(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:
Microsoft.sqlserver.maintenanceplantasks.dll 9.0.3068.0 295952 26-Feb-08 22:08 x86
Msdtssrvr.exe 9.0.3068.0 205840 26-Feb-08 22:08 x86
Nsservice.exe 9.0.3068.0 21520 26-Feb-08 22:08 x86
Microsoft.reportingservices.diagnostics.dll 9.0.3068.0 799760 26-Feb-08 22:08 x86
Reportingservicesservice.exe 9.0.3068.0 16912 26-Feb-08 22:08 x86
Sqlaccess.dll 2005.90.3068.0 350224 26-Feb-08 22:08 x86
Sqlservr.exe 2005.90.3068.0 29183504 26-Feb-08 22:08 x86
Microsoft.sqlserver.maintenanceplantasksui.dll 9.0.3068.0 721936 26-Feb-08 22:08 x86



TEGRA_table_txt_file: table_3461.txt
TEGRA_TABLE_TEXT: Microsoft.sqlserver.maintenanceplantasks.dll 9.0.3068.0 295952 26-Feb-08 22:08 x86
Msdtssrvr.exe 9.0.3068.0 205840 26-Feb-08 22:08 x86
Nsservice.exe 9.0.3068.0 21520 26-Feb-08 22:08 x86
Microsoft.reportingservices.diagnostics.dll 9.0.3068.0 799760 26-Feb-08 22:08 x86
Reportingservicesservice.exe 9.0.3068.0 16912 26-Feb-08 22:08 x86
Sqlaccess.dll 2005.90.3068.0 350224 26-Feb-08 22:08 x86
Sqlservr.exe 2005.90.3068.0 29183504 26-Feb-08 22:08 x86
Microsoft.sqlserver.maintenanceplantasksui.dll 9.0.3068.0 721936 26-Feb-08 22:08 x86
label: Microsoft.sqlserver.maintenanceplantasks.dll||9.0.3068.0||295952||26-Feb-08||22:08||x86
Msdtssrvr.exe||9.0.3068.0||205840||26-Feb-08||22:08||x86
Nsservice.exe||9.0.3068.0||21520||26-Feb-08||22:08||x86
Microsoft.reportingservices.diagnostics.dll||9.0.3068.0||799760||26-Feb-08||22:08||x86
Reportingservicesservice.exe||9.0.3068.0||16912||26-Feb-08||22:08||x86
Sqlaccess.dll||2005.90.3068.0||350224||26-Feb-08||22:08||x86
Sqlservr.exe||2005.90.3068.0||29183504||26-Feb-08||22:08||x86
Microsoft.sqlserver.maintenanceplantasksui.dll||9.0.3068.0||721936||26-Feb-08||22:08||x86
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 0-2 4-6 8-10 12-14 16+
Italy 38 40-42 44-46 48-50 52+
UK 6 8 10 12 14
France 34 36 38 40 42
Japan 5 7 9 11 13



TEGRA_table_txt_file: table_6797.txt
TEGRA_TABLE_TEXT: US 0-2 4-6 8-10 12-14 16+
Italy 38 40-42 44-46 48-50 52+
UK 6 8 10 12 14
France 34 36 38 40 42
Japan 5 7 9 11 13
label: US||0-2||4-6||8-10||12-14||16+
Italy||38||40-42||44-46||48-50||52+
UK||6||8||10||12||14
France||34||36||38||40||42
Japan||5||7||9||11||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:
MT-6452A For 50 mNm 8 W mt6452a_01a_e.pdf 71kB 2005.08.22
MT-6413A For 100 mNm 27 W mt6413a_01a_e.pdf 73kB 2005.08.22
MT-6423A For 200 mNm 35 W mt6423a_01a_e.pdf 74kB 2005.08.22
MT-6453A For 500 mNm 75 W mt6453a_01a_e.pdf 71kB 2005.08.22
MT-6414A For 1 Nm 75 W mt6414a_01a_e.pdf 74kB 2005.08.22
MT-6424A For 2 Nm 160 W mt6424a_01a_e.pdf 66kB 2005.08.22
MT-6454A For 5 Nm 200 W mt6454a_01a_e.pdf 67kB 2005.08.22
MT-6415A For 10 Nm 350 W mt6415a_01a_e.pdf 66kB 2005.08.22



TEGRA_table_txt_file: table_7994.txt
TEGRA_TABLE_TEXT: MT-6452A For 50 mNm 8 W mt6452a_01a_e.pdf 71kB 2005.08.22
MT-6413A For 100 mNm 27 W mt6413a_01a_e.pdf 73kB 2005.08.22
MT-6423A For 200 mNm 35 W mt6423a_01a_e.pdf 74kB 2005.08.22
MT-6453A For 500 mNm 75 W mt6453a_01a_e.pdf 71kB 2005.08.22
MT-6414A For 1 Nm 75 W mt6414a_01a_e.pdf 74kB 2005.08.22
MT-6424A For 2 Nm 160 W mt6424a_01a_e.pdf 66kB 2005.08.22
MT-6454A For 5 Nm 200 W mt6454a_01a_e.pdf 67kB 2005.08.22
MT-6415A For 10 Nm 350 W mt6415a_01a_e.pdf 66kB 2005.08.22
label: MT-6452A||For 50 mNm||8 W||mt6452a_01a_e.pdf||71kB||2005.08.22
MT-6413A||For 100 mNm||27 W||mt6413a_01a_e.pdf||73kB||2005.08.22
MT-6423A||For 200 mNm||35 W||mt6423a_01a_e.pdf||74kB||2005.08.22
MT-6453A||For 500 mNm||75 W||mt6453a_01a_e.pdf||71kB||2005.08.22
MT-6414A||For 1 Nm||75 W||mt6414a_01a_e.pdf||74kB||2005.08.22
MT-6424A||For 2 Nm||160 W||mt6424a_01a_e.pdf||66kB||2005.08.22
MT-6454A||For 5 Nm||200 W||mt6454a_01a_e.pdf||67kB||2005.08.22
MT-6415A||For 10 Nm||350 W||mt6415a_01a_e.pdf||66kB||2005.08.22
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 Milan, IT 1257 7.8% 9.9 7.8 2,348 301
3 Naples, IT 1254 4.4% 2.7 4.4 747 170
4 Bari, IT 331 4.3% 5.7 4.3 714 166
5 Catania, IT 912 2.8% 1.8 2.8 303 108
6 Turin, IT 1985 2.5% 1.6 2.5 241 97
7 Palermo, IT 1632 2.4% 1.9 2.4 222 93
8 Bergamo, IT 723 1.6% 1.2 1.6 99 62
9 Florence, IT 1985 1.5% 0.9 1.5 87 58



TEGRA_table_txt_file: table_8383.txt
TEGRA_TABLE_TEXT: 2 Milan, IT 1257 7.8% 9.9 7.8 2,348 301
3 Naples, IT 1254 4.4% 2.7 4.4 747 170
4 Bari, IT 331 4.3% 5.7 4.3 714 166
5 Catania, IT 912 2.8% 1.8 2.8 303 108
6 Turin, IT 1985 2.5% 1.6 2.5 241 97
7 Palermo, IT 1632 2.4% 1.9 2.4 222 93
8 Bergamo, IT 723 1.6% 1.2 1.6 99 62
9 Florence, IT 1985 1.5% 0.9 1.5 87 58
label: 2||Milan, IT||1257||7.8%||9.9||7.8||2,348||301
3||Naples, IT||1254||4.4%||2.7||4.4||747||170
4||Bari, IT||331||4.3%||5.7||4.3||714||166
5||Catania, IT||912||2.8%||1.8||2.8||303||108
6||Turin, IT||1985||2.5%||1.6||2.5||241||97
7||Palermo, IT||1632||2.4%||1.9||2.4||222||93
8||Bergamo, IT||723||1.6%||1.2||1.6||99||62
9||Florence, IT||1985||1.5%||0.9||1.5||87||58
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
4 Berry St, Peabody MA 0.43 Multi-Family $390,000 04/12/13 9 3 2,592
9R Tremont Pl, Peabody MA 0.47 Multi-Family $227,500 06/04/13 4 2 2,244
33 Jacobs St, Peabody MA 0.49 Multi-Family $260,000 01/16/13 4 2 1,770
7 Stevens St, Peabody MA 0.52 Multi-Family $310,000 07/26/13 6 2 2,593
71 Northend St, Peabody MA 0.68 Multi-Family $375,000 05/22/13 4 2 1,920
78 Northend St, Peabody MA 0.68 Multi-Family $250,000 08/05/13 3 2 1,322
73 Northend St, Peabody MA 0.69 Multi-Family $322,000 03/18/13 5 2 2,241
14 Paleologos St, Peabody MA 0.71 Multi-Family $100,000 04/26/13 5 4 2,770



TEGRA_table_txt_file: table_212.txt
TEGRA_TABLE_TEXT: 4 Berry St, Peabody MA 0.43 Multi-Family $390,000 04/12/13 9 3 2,592
9R Tremont Pl, Peabody MA 0.47 Multi-Family $227,500 06/04/13 4 2 2,244
33 Jacobs St, Peabody MA 0.49 Multi-Family $260,000 01/16/13 4 2 1,770
7 Stevens St, Peabody MA 0.52 Multi-Family $310,000 07/26/13 6 2 2,593
71 Northend St, Peabody MA 0.68 Multi-Family $375,000 05/22/13 4 2 1,920
78 Northend St, Peabody MA 0.68 Multi-Family $250,000 08/05/13 3 2 1,322
73 Northend St, Peabody MA 0.69 Multi-Family $322,000 03/18/13 5 2 2,241
14 Paleologos St, Peabody MA 0.71 Multi-Family $100,000 04/26/13 5 4 2,770
label: 4 Berry St, Peabody MA||0.43||Multi-Family||$390,000||04/12/13||9||3||2,592
9R Tremont Pl, Peabody MA||0.47||Multi-Family||$227,500||06/04/13||4||2||2,244
33 Jacobs St, Peabody MA||0.49||Multi-Family||$260,000||01/16/13||4||2||1,770
7 Stevens St, Peabody MA||0.52||Multi-Family||$310,000||07/26/13||6||2||2,593
71 Northend St, Peabody MA||0.68||Multi-Family||$375,000||05/22/13||4||2||1,920
78 Northend St, Peabody MA||0.68||Multi-Family||$250,000||08/05/13||3||2||1,322
73 Northend St, Peabody MA||0.69||Multi-Family||$322,000||03/18/13||5||2||2,241
14 Paleologos St, Peabody MA||0.71||Multi-Family||$100,000||04/26/13||5||4||2,770
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 USA Robert Williamson III $103,580
3 Italy Jeff Lisandro AKA "Iceman" $56,940
4 UK Dave Colclough $45,560
5 USA Hung La AKA "Kerry" $34,160
6 Denmark Karsten Johansen $28,480
7 USA Mike Wattel $22,780
8 UK Paul Maxfield $17,080
9 USA Chris "Jesus" Ferguson $11,380
10 USA James Hoeppner $7,980
11 USA Michael Pancer $7,980
12 UK Chris Bjorin $7,980
13 UK Ali Sarkeshik $6,840
14 USA Duane Tomko AKA "Dewey" $6,840
15 USA George Pitsilides $6,840
16 USA O'Neil Longson $5,700
17 USA Erick Lindgren $5,700



TEGRA_table_txt_file: table_940.txt
TEGRA_TABLE_TEXT: 2 USA Robert Williamson III $103,580
3 Italy Jeff Lisandro AKA "Iceman" $56,940
4 UK Dave Colclough $45,560
5 USA Hung La AKA "Kerry" $34,160
6 Denmark Karsten Johansen $28,480
7 USA Mike Wattel $22,780
8 UK Paul Maxfield $17,080
9 USA Chris "Jesus" Ferguson $11,380
10 USA James Hoeppner $7,980
11 USA Michael Pancer $7,980
12 UK Chris Bjorin $7,980
13 UK Ali Sarkeshik $6,840
14 USA Duane Tomko AKA "Dewey" $6,840
15 USA George Pitsilides $6,840
16 USA O'Neil Longson $5,700
17 USA Erick Lindgren $5,700
label: 2||USA||Robert Williamson III||$103,580
3||Italy||Jeff Lisandro AKA "Iceman"||$56,940
4||UK||Dave Colclough||$45,560
5||USA||Hung La AKA "Kerry"||$34,160
6||Denmark||Karsten Johansen||$28,480
7||USA||Mike Wattel||$22,780
8||UK||Paul Maxfield||$17,080
9||USA||Chris "Jesus" Ferguson||$11,380
10||USA||James Hoeppner||$7,980
11||USA||Michael Pancer||$7,980
12||UK||Chris Bjorin||$7,980
13||UK||Ali Sarkeshik||$6,840
14||USA||Duane Tomko AKA "Dewey"||$6,840
15||USA||George Pitsilides||$6,840
16||USA||O'Neil Longson||$5,700
17||USA||Erick Lindgren||$5,700