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:
Land area in square miles 2 519 44,743 3,531,907
People per sq. mi. 3,810 195 283 87
Median Age 23 41 40 38
2010 Real Estate Market Data Gettysburg Adams County Pennsylvania United States
Total Housing Units 2,620 40,820 5,567,315 131,704,730
Owner Occupied 34% 72% 63% 58%
Rental Units 58% 21% 27% 31%
Vacant Units 8% 7% 10% 11%



TEGRA_table_txt_file: table_9885.txt
TEGRA_TABLE_TEXT: Land area in square miles 2 519 44,743 3,531,907
People per sq. mi. 3,810 195 283 87
Median Age 23 41 40 38
2010 Real Estate Market Data Gettysburg Adams County Pennsylvania United States
Total Housing Units 2,620 40,820 5,567,315 131,704,730
Owner Occupied 34% 72% 63% 58%
Rental Units 58% 21% 27% 31%
Vacant Units 8% 7% 10% 11%
label: Land area in square miles||2||519||44,743||3,531,907
People per sq. mi.||3,810||195||283||87
Median Age||23||41||40||38
2010 Real Estate Market Data||Gettysburg||Adams County||Pennsylvania||United States
Total Housing Units||2,620||40,820||5,567,315||131,704,730
Owner Occupied||34%||72%||63%||58%
Rental Units||58%||21%||27%||31%
Vacant Units||8%||7%||10%||11%
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:
Of the Right Spectral Class? Yes Yes Yes
Constant in Brightness? Yes Yes Yes
Old Enough? Yes Maybe ? Maybe ?
Rich in Metals? Yes Maybe ? Maybe ?
Has Stable Planetary Orbits? Yes Yes Yes
Could Planets Form? Yes Yes Yes
Do Planets Actually Exist? Yes Maybe Yes ?
Small Rocky Planets Possible? Yes Yes Yes



TEGRA_table_txt_file: table_2964.txt
TEGRA_TABLE_TEXT: Of the Right Spectral Class? Yes Yes Yes
Constant in Brightness? Yes Yes Yes
Old Enough? Yes Maybe ? Maybe ?
Rich in Metals? Yes Maybe ? Maybe ?
Has Stable Planetary Orbits? Yes Yes Yes
Could Planets Form? Yes Yes Yes
Do Planets Actually Exist? Yes Maybe Yes ?
Small Rocky Planets Possible? Yes Yes Yes
label: Of the Right Spectral Class?||Yes||Yes||Yes
Constant in Brightness?||Yes||Yes||Yes
Old Enough?||Yes||Maybe ?||Maybe ?
Rich in Metals?||Yes||Maybe ?||Maybe ?
Has Stable Planetary Orbits?||Yes||Yes||Yes
Could Planets Form?||Yes||Yes||Yes
Do Planets Actually Exist?||Yes||Maybe||Yes ?
Small Rocky Planets Possible?||Yes||Yes||Yes
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:
Submitting Alert Bulletins FHWA Order 5181.1 FHWA
Maintain emergency contact list FHWA Order 5181.1 FHWA/LADOTD
Emergency Communications FHWA Order 1910.2C FHWA
Maintain the FHWA Division COOP FHWA Order 1910.2C FHWA
National Security Coordination FHWA Order 1910.2C FHWA
Federal Response Plan Participation FHWA Order 1910.2C FHWA



TEGRA_table_txt_file: table_8520.txt
TEGRA_TABLE_TEXT: Submitting Alert Bulletins FHWA Order 5181.1 FHWA
Maintain emergency contact list FHWA Order 5181.1 FHWA/LADOTD
Emergency Communications FHWA Order 1910.2C FHWA
Maintain the FHWA Division COOP FHWA Order 1910.2C FHWA
National Security Coordination FHWA Order 1910.2C FHWA
Federal Response Plan Participation FHWA Order 1910.2C FHWA
label: Submitting Alert Bulletins||FHWA Order 5181.1||FHWA
Maintain emergency contact list||FHWA Order 5181.1||FHWA/LADOTD
Emergency Communications||FHWA Order 1910.2C||FHWA
Maintain the FHWA Division COOP||FHWA Order 1910.2C||FHWA
National Security Coordination||FHWA Order 1910.2C||FHWA
Federal Response Plan Participation||FHWA Order 1910.2C||FHWA
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:
120 - 200 pounds 170 - 250 pounds 220 - 300 pounds
Yes Yes Yes
7000-series aluminum 7000-series aluminum 7000-series aluminum
ArcTec thermoplastic urethane ArcTec thermoplastic urethane ArcTec thermoplastic urethane
Carbon steel Carbon steel Carbon steel
Yes Yes Yes
Yes Yes Yes
Yes Yes Yes
25 x 8 inches 30 x 9 inches 36 x 10 inches
4.7 pounds 5.3 pounds 5.8 pounds



TEGRA_table_txt_file: table_1090.txt
TEGRA_TABLE_TEXT: 120 - 200 pounds 170 - 250 pounds 220 - 300 pounds
Yes Yes Yes
7000-series aluminum 7000-series aluminum 7000-series aluminum
ArcTec thermoplastic urethane ArcTec thermoplastic urethane ArcTec thermoplastic urethane
Carbon steel Carbon steel Carbon steel
Yes Yes Yes
Yes Yes Yes
Yes Yes Yes
25 x 8 inches 30 x 9 inches 36 x 10 inches
4.7 pounds 5.3 pounds 5.8 pounds
label: 120 - 200 pounds||170 - 250 pounds||220 - 300 pounds
Yes||Yes||Yes
7000-series aluminum||7000-series aluminum||7000-series aluminum
ArcTec thermoplastic urethane||ArcTec thermoplastic urethane||ArcTec thermoplastic urethane
Carbon steel||Carbon steel||Carbon steel
Yes||Yes||Yes
Yes||Yes||Yes
Yes||Yes||Yes
25 x 8 inches||30 x 9 inches||36 x 10 inches
4.7 pounds||5.3 pounds||5.8 pounds
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:
&nbsp Team Stats Opp Stats           
Date Opponent Score SU Line ATS Tot. O/U Rushing Passing TO Rushing Passing TO
9/8/2013 @ CHICAGO 21-24 L 3 T 41 O 21-63 26-33-277 3 28-81 21-33-242 1
9/16/2013 PITTSBURGH 20-10 W -6.5 W 40 U 34-127 25-45-280 0 16-44 20-37-234 2
9/22/2013 GREEN BAY 34-30 W 3 W 48.5 O 24-82 20-28-215 4 30-182 26-43-217 4
9/29/2013 @ CLEVELAND 6-17 L -3.5 L 43 U 20-63 23-42-203 2 30-89 25-38-247 0
10/6/2013 NEW ENGLAND 13-6 W 2 W 45.5 U 39-162 20-27-179 2 18-82 18-38-166 2
10/13/2013 @ BUFFALO 27-24 W -5.5 L 41 O 41-165 26-40-318 1 32-130 19-32-192 1
10/20/2013 @ DETROIT            
10/27/2013 NY JETS            
10/31/2013 @ MIAMI            
11/10/2013 @ BALTIMORE            



TEGRA_table_txt_file: table_2490.txt
TEGRA_TABLE_TEXT: &nbsp Team Stats Opp Stats           
Date Opponent Score SU Line ATS Tot. O/U Rushing Passing TO Rushing Passing TO
9/8/2013 @ CHICAGO 21-24 L 3 T 41 O 21-63 26-33-277 3 28-81 21-33-242 1
9/16/2013 PITTSBURGH 20-10 W -6.5 W 40 U 34-127 25-45-280 0 16-44 20-37-234 2
9/22/2013 GREEN BAY 34-30 W 3 W 48.5 O 24-82 20-28-215 4 30-182 26-43-217 4
9/29/2013 @ CLEVELAND 6-17 L -3.5 L 43 U 20-63 23-42-203 2 30-89 25-38-247 0
10/6/2013 NEW ENGLAND 13-6 W 2 W 45.5 U 39-162 20-27-179 2 18-82 18-38-166 2
10/13/2013 @ BUFFALO 27-24 W -5.5 L 41 O 41-165 26-40-318 1 32-130 19-32-192 1
10/20/2013 @ DETROIT            
10/27/2013 NY JETS            
10/31/2013 @ MIAMI            
11/10/2013 @ BALTIMORE            
label: &nbsp||Team Stats||Opp Stats||||||||||||||||||||||
Date||Opponent||Score||SU||Line||ATS||Tot.||O/U||Rushing||Passing||TO||Rushing||Passing||TO
9/8/2013||@ CHICAGO||21-24||L||3||T||41||O||21-63||26-33-277||3||28-81||21-33-242||1
9/16/2013||PITTSBURGH||20-10||W||-6.5||W||40||U||34-127||25-45-280||0||16-44||20-37-234||2
9/22/2013||GREEN BAY||34-30||W||3||W||48.5||O||24-82||20-28-215||4||30-182||26-43-217||4
9/29/2013||@ CLEVELAND||6-17||L||-3.5||L||43||U||20-63||23-42-203||2||30-89||25-38-247||0
10/6/2013||NEW ENGLAND||13-6||W||2||W||45.5||U||39-162||20-27-179||2||18-82||18-38-166||2
10/13/2013||@ BUFFALO||27-24||W||-5.5||L||41||O||41-165||26-40-318||1||32-130||19-32-192||1
10/20/2013||@ DETROIT||||||||||||||||||||||||
10/27/2013||NY JETS||||||||||||||||||||||||
10/31/2013||@ MIAMI||||||||||||||||||||||||
11/10/2013||@ BALTIMORE||||||||||||||||||||||||
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:
Name Formulations available1       
Acetamiprid - - - - - - - WSP
Allethrin A - - - - - - -
Bifentrin - - EC - - - - -
Carbaryl (Sevin&reg;) - D EC - - - WP -
Cyfluthrin - - EC RUS SC - WP -
Cypermethrin - - EC - - SP WP -
Deltamethrin - D - RUS SC - - -
Lamda-Cyhalothrin A - - - - - - -
Permethrin A D EC - - - - -
Phenothrin A - - - - - - -
Pyrethrins A - - - - - - -
Resmethrin A - - - - - - -
Sumithrin A - - - - - - -
Tetramethrin A - - - - - - -



TEGRA_table_txt_file: table_2409.txt
TEGRA_TABLE_TEXT: Name Formulations available1       
Acetamiprid - - - - - - - WSP
Allethrin A - - - - - - -
Bifentrin - - EC - - - - -
Carbaryl (Sevin&reg;) - D EC - - - WP -
Cyfluthrin - - EC RUS SC - WP -
Cypermethrin - - EC - - SP WP -
Deltamethrin - D - RUS SC - - -
Lamda-Cyhalothrin A - - - - - - -
Permethrin A D EC - - - - -
Phenothrin A - - - - - - -
Pyrethrins A - - - - - - -
Resmethrin A - - - - - - -
Sumithrin A - - - - - - -
Tetramethrin A - - - - - - -
label: Name||Formulations available1||||||||||||||
Acetamiprid||-||-||-||-||-||-||-||WSP
Allethrin||A||-||-||-||-||-||-||-
Bifentrin||-||-||EC||-||-||-||-||-
Carbaryl (Sevin&reg;)||-||D||EC||-||-||-||WP||-
Cyfluthrin||-||-||EC||RUS||SC||-||WP||-
Cypermethrin||-||-||EC||-||-||SP||WP||-
Deltamethrin||-||D||-||RUS||SC||-||-||-
Lamda-Cyhalothrin||A||-||-||-||-||-||-||-
Permethrin||A||D||EC||-||-||-||-||-
Phenothrin||A||-||-||-||-||-||-||-
Pyrethrins||A||-||-||-||-||-||-||-
Resmethrin||A||-||-||-||-||-||-||-
Sumithrin||A||-||-||-||-||-||-||-
Tetramethrin||A||-||-||-||-||-||-||-
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:
19/03 Ericsson Open, Miami Dur (ext.) Andre Agassi Jan-Michael Gambill 7-64, 6-1, 6-0
16/04 Tennis Masters Monte-Carlo, Monte-Carlo Terre Battue (ext.) Gustavo Kuerten Hicham Arazi 6-3, 6-2, 6-4
07/05 Rome Masters, Rome Terre Battue (ext.) Juan Carlos Ferrero Gustavo Kuerten 3-6, 6-1, 2-6, 6-4, 6-2
14/05 Masters Series Hambourg, Hambourg Terre Battue (ext.) Albert Portas Juan Carlos Ferrero 4-6, 6-2, 0-6, 7-65, 7-5
30/07 Tennis Masters Series Canada, Montréal Dur (ext.) Andrei Pavel Patrick Rafter 7-63, 2-6, 6-3
06/08 Cincinnati Masters, Cincinnati Dur (ext.) Gustavo Kuerten Patrick Rafter 6-1, 6-3
15/10 Tennis Masters Series-Stuttgart, Stuttgart Dur (int.) Tommy Haas Max Mirnyi 6-2, 6-2, 6-2



TEGRA_table_txt_file: table_2031.txt
TEGRA_TABLE_TEXT: 19/03 Ericsson Open, Miami Dur (ext.) Andre Agassi Jan-Michael Gambill 7-64, 6-1, 6-0
16/04 Tennis Masters Monte-Carlo, Monte-Carlo Terre Battue (ext.) Gustavo Kuerten Hicham Arazi 6-3, 6-2, 6-4
07/05 Rome Masters, Rome Terre Battue (ext.) Juan Carlos Ferrero Gustavo Kuerten 3-6, 6-1, 2-6, 6-4, 6-2
14/05 Masters Series Hambourg, Hambourg Terre Battue (ext.) Albert Portas Juan Carlos Ferrero 4-6, 6-2, 0-6, 7-65, 7-5
30/07 Tennis Masters Series Canada, Montréal Dur (ext.) Andrei Pavel Patrick Rafter 7-63, 2-6, 6-3
06/08 Cincinnati Masters, Cincinnati Dur (ext.) Gustavo Kuerten Patrick Rafter 6-1, 6-3
15/10 Tennis Masters Series-Stuttgart, Stuttgart Dur (int.) Tommy Haas Max Mirnyi 6-2, 6-2, 6-2
label: 19/03||Ericsson Open, Miami||Dur (ext.)||Andre Agassi||Jan-Michael Gambill||7-64, 6-1, 6-0
16/04||Tennis Masters Monte-Carlo, Monte-Carlo||Terre Battue (ext.)||Gustavo Kuerten||Hicham Arazi||6-3, 6-2, 6-4
07/05||Rome Masters, Rome||Terre Battue (ext.)||Juan Carlos Ferrero||Gustavo Kuerten||3-6, 6-1, 2-6, 6-4, 6-2
14/05||Masters Series Hambourg, Hambourg||Terre Battue (ext.)||Albert Portas||Juan Carlos Ferrero||4-6, 6-2, 0-6, 7-65, 7-5
30/07||Tennis Masters Series Canada, Montréal||Dur (ext.)||Andrei Pavel||Patrick Rafter||7-63, 2-6, 6-3
06/08||Cincinnati Masters, Cincinnati||Dur (ext.)||Gustavo Kuerten||Patrick Rafter||6-1, 6-3
15/10||Tennis Masters Series-Stuttgart, Stuttgart||Dur (int.)||Tommy Haas||Max Mirnyi||6-2, 6-2, 6-2
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
1 AM Partly Cloudy 28° 21° 6 mph WNW 89% 0% 0
2 AM Partly Cloudy 28° 21° 6 mph W 91% 0% 0
3 AM Partly Cloudy 28° 21° 6 mph W 93% 0% 0
4 AM Partly Cloudy 27° 20° 6 mph W 96% 0% 0
5 AM Partly Cloudy 26° 19° 6 mph W 98% 0% 0
6 AM Partly Cloudy 25° 18° 6 mph W 99% 0% 0
7 AM Partly Cloudy 25° 18° 6 mph W 100% 0% 0
8 AM Mostly Sunny 27° 20° 7 mph W 98% 0% 0
9 AM Mostly Sunny 30° 24° 7 mph W 93% 0% 0
10 AM Mostly Sunny 34° 28° 7 mph W 85% 0% 1
11 AM Partly Cloudy 37° 30° 10 mph W 74% 0% 2
12 PM Partly Cloudy 41° 34° 10 mph W 63% 0% 2
1 PM Partly Cloudy 43° 37° 10 mph W 54% 0% 3
2 PM Partly Cloudy 45° 45° 11 mph WSW 49% 0% 2
3 PM Partly Cloudy 46° 46° 11 mph WSW 46% 0% 2
4 PM Partly Cloudy 46° 46° 11 mph WSW 46% 0% 1



TEGRA_table_txt_file: table_1977.txt
TEGRA_TABLE_TEXT: 1 AM Partly Cloudy 28° 21° 6 mph WNW 89% 0% 0
2 AM Partly Cloudy 28° 21° 6 mph W 91% 0% 0
3 AM Partly Cloudy 28° 21° 6 mph W 93% 0% 0
4 AM Partly Cloudy 27° 20° 6 mph W 96% 0% 0
5 AM Partly Cloudy 26° 19° 6 mph W 98% 0% 0
6 AM Partly Cloudy 25° 18° 6 mph W 99% 0% 0
7 AM Partly Cloudy 25° 18° 6 mph W 100% 0% 0
8 AM Mostly Sunny 27° 20° 7 mph W 98% 0% 0
9 AM Mostly Sunny 30° 24° 7 mph W 93% 0% 0
10 AM Mostly Sunny 34° 28° 7 mph W 85% 0% 1
11 AM Partly Cloudy 37° 30° 10 mph W 74% 0% 2
12 PM Partly Cloudy 41° 34° 10 mph W 63% 0% 2
1 PM Partly Cloudy 43° 37° 10 mph W 54% 0% 3
2 PM Partly Cloudy 45° 45° 11 mph WSW 49% 0% 2
3 PM Partly Cloudy 46° 46° 11 mph WSW 46% 0% 2
4 PM Partly Cloudy 46° 46° 11 mph WSW 46% 0% 1
label: 1 AM||Partly Cloudy||28°||21°||6 mph WNW||89%||0%||0
2 AM||Partly Cloudy||28°||21°||6 mph W||91%||0%||0
3 AM||Partly Cloudy||28°||21°||6 mph W||93%||0%||0
4 AM||Partly Cloudy||27°||20°||6 mph W||96%||0%||0
5 AM||Partly Cloudy||26°||19°||6 mph W||98%||0%||0
6 AM||Partly Cloudy||25°||18°||6 mph W||99%||0%||0
7 AM||Partly Cloudy||25°||18°||6 mph W||100%||0%||0
8 AM||Mostly Sunny||27°||20°||7 mph W||98%||0%||0
9 AM||Mostly Sunny||30°||24°||7 mph W||93%||0%||0
10 AM||Mostly Sunny||34°||28°||7 mph W||85%||0%||1
11 AM||Partly Cloudy||37°||30°||10 mph W||74%||0%||2
12 PM||Partly Cloudy||41°||34°||10 mph W||63%||0%||2
1 PM||Partly Cloudy||43°||37°||10 mph W||54%||0%||3
2 PM||Partly Cloudy||45°||45°||11 mph WSW||49%||0%||2
3 PM||Partly Cloudy||46°||46°||11 mph WSW||46%||0%||2
4 PM||Partly Cloudy||46°||46°||11 mph WSW||46%||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:
#734,528 alettaocean.com IP address: 74.53.180.66
#17,199,328 wantivity.com IP address: 74.53.180.66
#27,734,582 sbandieratorisicilia.it IP address: 74.53.180.66
#2,622,288 magripersempre.com IP address: 74.53.180.66
#1,411,873 workboatsinternational.com IP address: 74.53.180.66
n/a ak-bmw.com IP address: 74.53.180.66
#397,241 boxylucha.com IP address: 74.53.180.66



TEGRA_table_txt_file: table_8813.txt
TEGRA_TABLE_TEXT: #734,528 alettaocean.com IP address: 74.53.180.66
#17,199,328 wantivity.com IP address: 74.53.180.66
#27,734,582 sbandieratorisicilia.it IP address: 74.53.180.66
#2,622,288 magripersempre.com IP address: 74.53.180.66
#1,411,873 workboatsinternational.com IP address: 74.53.180.66
n/a ak-bmw.com IP address: 74.53.180.66
#397,241 boxylucha.com IP address: 74.53.180.66
label: #734,528||alettaocean.com||IP address: 74.53.180.66
#17,199,328||wantivity.com||IP address: 74.53.180.66
#27,734,582||sbandieratorisicilia.it||IP address: 74.53.180.66
#2,622,288||magripersempre.com||IP address: 74.53.180.66
#1,411,873||workboatsinternational.com||IP address: 74.53.180.66
n/a||ak-bmw.com||IP address: 74.53.180.66
#397,241||boxylucha.com||IP address: 74.53.180.66
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:
16.09.2013 22:00 Athletic Bilbao 3 : 2 Celta Vigo
16.09.2013 20:00 Elche CF 0 : 0 Real Valladolid
15.09.2013 21:00 Betis Sewilla 3 : 1 Valencia
15.09.2013 19:00 Malaga 5 : 0 Rayo Vallecano
15.09.2013 17:00 Getafe 2 : 1 Osasuna
15.09.2013 12:00 Granada CF 0 : 1 Espanyol
14.09.2013 22:00 Villarreal 2 : 2 Real Madryt
14.09.2013 20:00 FC Barcelona 3 : 2 Sevilla
14.09.2013 18:00 Levante 0 : 0 Real Sociedad



TEGRA_table_txt_file: table_6475.txt
TEGRA_TABLE_TEXT: 16.09.2013 22:00 Athletic Bilbao 3 : 2 Celta Vigo
16.09.2013 20:00 Elche CF 0 : 0 Real Valladolid
15.09.2013 21:00 Betis Sewilla 3 : 1 Valencia
15.09.2013 19:00 Malaga 5 : 0 Rayo Vallecano
15.09.2013 17:00 Getafe 2 : 1 Osasuna
15.09.2013 12:00 Granada CF 0 : 1 Espanyol
14.09.2013 22:00 Villarreal 2 : 2 Real Madryt
14.09.2013 20:00 FC Barcelona 3 : 2 Sevilla
14.09.2013 18:00 Levante 0 : 0 Real Sociedad
label: 16.09.2013||22:00||Athletic Bilbao||3 : 2||Celta Vigo
16.09.2013||20:00||Elche CF||0 : 0||Real Valladolid
15.09.2013||21:00||Betis Sewilla||3 : 1||Valencia
15.09.2013||19:00||Malaga||5 : 0||Rayo Vallecano
15.09.2013||17:00||Getafe||2 : 1||Osasuna
15.09.2013||12:00||Granada CF||0 : 1||Espanyol
14.09.2013||22:00||Villarreal||2 : 2||Real Madryt
14.09.2013||20:00||FC Barcelona||3 : 2||Sevilla
14.09.2013||18:00||Levante||0 : 0||Real Sociedad
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_8805.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:
23.09.2013 22:00 Espanyol 3 : 2 Athletic Bilbao
22.09.2013 21:00 Valencia 3 : 1 Sevilla
22.09.2013 19:00 Real Madryt 4 : 1 Getafe
22.09.2013 17:00 Celta Vigo 0 : 0 Villarreal
22.09.2013 12:00 Betis Sewilla 0 : 0 Granada CF
21.09.2013 22:00 Real Valladolid 0 : 2 Atletico Madryt
21.09.2013 20:00 Rayo Vallecano 0 : 4 FC Barcelona
21.09.2013 18:00 Almeria 2 : 2 Levante
21.09.2013 16:00 Real Sociedad 0 : 0 Malaga



TEGRA_table_txt_file: table_6474.txt
TEGRA_TABLE_TEXT: 23.09.2013 22:00 Espanyol 3 : 2 Athletic Bilbao
22.09.2013 21:00 Valencia 3 : 1 Sevilla
22.09.2013 19:00 Real Madryt 4 : 1 Getafe
22.09.2013 17:00 Celta Vigo 0 : 0 Villarreal
22.09.2013 12:00 Betis Sewilla 0 : 0 Granada CF
21.09.2013 22:00 Real Valladolid 0 : 2 Atletico Madryt
21.09.2013 20:00 Rayo Vallecano 0 : 4 FC Barcelona
21.09.2013 18:00 Almeria 2 : 2 Levante
21.09.2013 16:00 Real Sociedad 0 : 0 Malaga
label: 23.09.2013||22:00||Espanyol||3 : 2||Athletic Bilbao
22.09.2013||21:00||Valencia||3 : 1||Sevilla
22.09.2013||19:00||Real Madryt||4 : 1||Getafe
22.09.2013||17:00||Celta Vigo||0 : 0||Villarreal
22.09.2013||12:00||Betis Sewilla||0 : 0||Granada CF
21.09.2013||22:00||Real Valladolid||0 : 2||Atletico Madryt
21.09.2013||20:00||Rayo Vallecano||0 : 4||FC Barcelona
21.09.2013||18:00||Almeria||2 : 2||Levante
21.09.2013||16:00||Real Sociedad||0 : 0||Malaga
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 Astra Giurgiu 22
3 Petrolul Ploiesti 22
4 Pandurii 20
5 Botosani 19
6 Ceahlaul Piatra-Neamt 17
7 Gaz Metan Medias 16
8 CFR Cluj 16
9 ACS Poli Timisoara 15



TEGRA_table_txt_file: table_4541.txt
TEGRA_TABLE_TEXT: 2 Astra Giurgiu 22
3 Petrolul Ploiesti 22
4 Pandurii 20
5 Botosani 19
6 Ceahlaul Piatra-Neamt 17
7 Gaz Metan Medias 16
8 CFR Cluj 16
9 ACS Poli Timisoara 15
label: 2||Astra Giurgiu||22
3||Petrolul Ploiesti||22
4||Pandurii||20
5||Botosani||19
6||Ceahlaul Piatra-Neamt||17
7||Gaz Metan Medias||16
8||CFR Cluj||16
9||ACS Poli Timisoara||15
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:
Clark Hughes man 50 aug/07/2013 14:09:53
LIEVEOPA man 65 mei/18/2013 21:12:59
oneme man 29 apr/11/2013 00:35:41
Dani man 45 apr/05/2013 21:42:28
job man 45 jan/14/2013 14:10:37
Bertus man 57 okt/19/2012 01:03:34
Tony43 man 46 okt/13/2012 14:29:53
john man 56 sep/29/2012 10:49:56
pietereeuwe man 52 sep/11/2012 12:56:55



TEGRA_table_txt_file: table_7857.txt
TEGRA_TABLE_TEXT: Clark Hughes man 50 aug/07/2013 14:09:53
LIEVEOPA man 65 mei/18/2013 21:12:59
oneme man 29 apr/11/2013 00:35:41
Dani man 45 apr/05/2013 21:42:28
job man 45 jan/14/2013 14:10:37
Bertus man 57 okt/19/2012 01:03:34
Tony43 man 46 okt/13/2012 14:29:53
john man 56 sep/29/2012 10:49:56
pietereeuwe man 52 sep/11/2012 12:56:55
label: Clark Hughes||man||50||aug/07/2013 14:09:53
LIEVEOPA||man||65||mei/18/2013 21:12:59
oneme||man||29||apr/11/2013 00:35:41
Dani||man||45||apr/05/2013 21:42:28
job||man||45||jan/14/2013 14:10:37
Bertus||man||57||okt/19/2012 01:03:34
Tony43||man||46||okt/13/2012 14:29:53
john||man||56||sep/29/2012 10:49:56
pietereeuwe||man||52||sep/11/2012 12:56:55
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:
11X4-5 T/T, T/L 2 11.0 4.0 22 210 5x3.0
13X5-6 T/T 2 13.0 5.0 20 295 6x3.5
13X5-6 T/T 4 13.0 4.9 40 440 6x3.5
15X6-6 T/T, T/L 2 15.1 6.2 14 365 6x4.5
15X6-6 T/T, T/L 4 14.9 6.1 30 570 6x4.5
4.80-8 T/L 2 16.4 4.6 20 435 8x3.75
16X6.50-8 T/T, T/L 2 16.4 6.8 14 415 8x5.5
16X6.50-8 T/T, T/L 4 16.4 6.8 28 620 8x5.5
16X7.50-8 T/L 2 15.6 7.6 12 475 8x5.375
16X7.50-8 T/L 4 16.2 7.6 24 710 8x5.375
18X6.50-8 T/L 2 18.0 6.6 12 515 8x4.5
18X6.50-8 T/L 4 18.6 6.7 28 770 8x4.5
18X8.50-8 T/T, T/L 2 18.0 8.3 10 515 8x7



TEGRA_table_txt_file: table_4902.txt
TEGRA_TABLE_TEXT: 11X4-5 T/T, T/L 2 11.0 4.0 22 210 5x3.0
13X5-6 T/T 2 13.0 5.0 20 295 6x3.5
13X5-6 T/T 4 13.0 4.9 40 440 6x3.5
15X6-6 T/T, T/L 2 15.1 6.2 14 365 6x4.5
15X6-6 T/T, T/L 4 14.9 6.1 30 570 6x4.5
4.80-8 T/L 2 16.4 4.6 20 435 8x3.75
16X6.50-8 T/T, T/L 2 16.4 6.8 14 415 8x5.5
16X6.50-8 T/T, T/L 4 16.4 6.8 28 620 8x5.5
16X7.50-8 T/L 2 15.6 7.6 12 475 8x5.375
16X7.50-8 T/L 4 16.2 7.6 24 710 8x5.375
18X6.50-8 T/L 2 18.0 6.6 12 515 8x4.5
18X6.50-8 T/L 4 18.6 6.7 28 770 8x4.5
18X8.50-8 T/T, T/L 2 18.0 8.3 10 515 8x7
label: 11X4-5 T/T, T/L||2||11.0||4.0||22||210||5x3.0
13X5-6 T/T||2||13.0||5.0||20||295||6x3.5
13X5-6 T/T||4||13.0||4.9||40||440||6x3.5
15X6-6 T/T, T/L||2||15.1||6.2||14||365||6x4.5
15X6-6 T/T, T/L||4||14.9||6.1||30||570||6x4.5
4.80-8 T/L||2||16.4||4.6||20||435||8x3.75
16X6.50-8 T/T, T/L||2||16.4||6.8||14||415||8x5.5
16X6.50-8 T/T, T/L||4||16.4||6.8||28||620||8x5.5
16X7.50-8 T/L||2||15.6||7.6||12||475||8x5.375
16X7.50-8 T/L||4||16.2||7.6||24||710||8x5.375
18X6.50-8 T/L||2||18.0||6.6||12||515||8x4.5
18X6.50-8 T/L||4||18.6||6.7||28||770||8x4.5
18X8.50-8 T/T, T/L||2||18.0||8.3||10||515||8x7
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:
2008/09 Rode Ster Belgrado Servië Meridian Superliga 16 6
2009/10 FC Twente Nederland Eredivisie 14 0
2010/11 FC Twente Nederland Eredivisie 3 0
2010/11 Panserraikos FC Griekenland Alpha Ethniki 12 1
2011/heden Kaizer Chiefs Zuid-Afrika Premier Soccer League 0 0



TEGRA_table_txt_file: table_4046.txt
TEGRA_TABLE_TEXT: 2008/09 Rode Ster Belgrado Servië Meridian Superliga 16 6
2009/10 FC Twente Nederland Eredivisie 14 0
2010/11 FC Twente Nederland Eredivisie 3 0
2010/11 Panserraikos FC Griekenland Alpha Ethniki 12 1
2011/heden Kaizer Chiefs Zuid-Afrika Premier Soccer League 0 0
label: 2008/09||Rode Ster Belgrado||Servië||Meridian Superliga||16||6
2009/10||FC Twente||Nederland||Eredivisie||14||0
2010/11||FC Twente||Nederland||Eredivisie||3||0
2010/11||Panserraikos FC||Griekenland||Alpha Ethniki||12||1
2011/heden||Kaizer Chiefs||Zuid-Afrika||Premier Soccer League||0||0
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
Z. Ness Scotland U19 7 0 1
C. Weir Scotland U19 7 2 0
N. Deca Romania U19 5 1 1
S. Hansen Denmark U19 5 0 1
L. Hurtig Sweden U19 5 0 1
L. Michez Belgium U19 5 1 1
N. Billa Austria U19 4 1 0
M. Chernomyrdina Russia U19 4 0 1
Vanessa Portugal U19 4 1 0
K. McCabe Republic of Irel&hellip; 4 1 1
E. Piskunova Russia U19 4 0 2
V. Saastamoinen Finland U19 4 0 1
C. Shine Republic of Irel&hellip; 4 0 2



TEGRA_table_txt_file: table_8260.txt
TEGRA_TABLE_TEXT: Z. Ness Scotland U19 7 0 1
C. Weir Scotland U19 7 2 0
N. Deca Romania U19 5 1 1
S. Hansen Denmark U19 5 0 1
L. Hurtig Sweden U19 5 0 1
L. Michez Belgium U19 5 1 1
N. Billa Austria U19 4 1 0
M. Chernomyrdina Russia U19 4 0 1
Vanessa Portugal U19 4 1 0
K. McCabe Republic of Irel&hellip; 4 1 1
E. Piskunova Russia U19 4 0 2
V. Saastamoinen Finland U19 4 0 1
C. Shine Republic of Irel&hellip; 4 0 2
label: Z. Ness||Scotland U19||7||0||1
C. Weir||Scotland U19||7||2||0
N. Deca||Romania U19||5||1||1
S. Hansen||Denmark U19||5||0||1
L. Hurtig||Sweden U19||5||0||1
L. Michez||Belgium U19||5||1||1
N. Billa||Austria U19||4||1||0
M. Chernomyrdina||Russia U19||4||0||1
Vanessa||Portugal U19||4||1||0
K. McCabe||Republic of Irel&hellip;||4||1||1
E. Piskunova||Russia U19||4||0||2
V. Saastamoinen||Finland U19||4||0||1
C. Shine||Republic of Irel&hellip;||4||0||2
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
2. SV Ried 11 20:17 19
3. SV Grödig 11 26:24 17
4. Rapid Wien 11 19:12 16
5. Austria Wien 11 21:17 15
6. Sturm Graz 11 16:17 15
7. SC Wr. Neustadt 11 16:31 12
8. Wolfsberg 11 19:24 10
9. FC Wacker Innsbruck 11 16:21 10



TEGRA_table_txt_file: table_6454.txt
TEGRA_TABLE_TEXT: 2. SV Ried 11 20:17 19
3. SV Grödig 11 26:24 17
4. Rapid Wien 11 19:12 16
5. Austria Wien 11 21:17 15
6. Sturm Graz 11 16:17 15
7. SC Wr. Neustadt 11 16:31 12
8. Wolfsberg 11 19:24 10
9. FC Wacker Innsbruck 11 16:21 10
label: 2.||SV Ried||11||20:17||19
3.||SV Grödig||11||26:24||17
4.||Rapid Wien||11||19:12||16
5.||Austria Wien||11||21:17||15
6.||Sturm Graz||11||16:17||15
7.||SC Wr. Neustadt||11||16:31||12
8.||Wolfsberg||11||19:24||10
9.||FC Wacker Innsbruck||11||16:21||10
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:
S M T W T F 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_4709.txt
TEGRA_TABLE_TEXT: S M T W T F 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: S||M||T||W||T||F||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:
Day 2 At Sea &mdash; &mdash;
Day 3 Aomori , Japan 09:00 AM 10:00 PM
Day 4 Sapporro , Japan 07:00 AM 07:00 PM
Day 5 At Sea &mdash; &mdash;
Day 6 At Sea &mdash; &mdash;
Day 7 Petropavlovsk , Russia 08:00 AM 05:00 PM
Day 8 At Sea &mdash; &mdash;
Day 9 At Sea &mdash; &mdash;
Day 10 At Sea &mdash; &mdash;
Day 11 At Sea &mdash; &mdash;
Day 12 At Sea &mdash; &mdash;
Day 13 At Sea &mdash; &mdash;
Day 14 Tokyo (Yokohama) , Japan 07:00 AM 08:00 PM



TEGRA_table_txt_file: table_6439.txt
TEGRA_TABLE_TEXT: Day 2 At Sea &mdash; &mdash;
Day 3 Aomori , Japan 09:00 AM 10:00 PM
Day 4 Sapporro , Japan 07:00 AM 07:00 PM
Day 5 At Sea &mdash; &mdash;
Day 6 At Sea &mdash; &mdash;
Day 7 Petropavlovsk , Russia 08:00 AM 05:00 PM
Day 8 At Sea &mdash; &mdash;
Day 9 At Sea &mdash; &mdash;
Day 10 At Sea &mdash; &mdash;
Day 11 At Sea &mdash; &mdash;
Day 12 At Sea &mdash; &mdash;
Day 13 At Sea &mdash; &mdash;
Day 14 Tokyo (Yokohama) , Japan 07:00 AM 08:00 PM
label: Day 2||At Sea||&mdash;||&mdash;
Day 3||Aomori , Japan||09:00 AM||10:00 PM
Day 4||Sapporro , Japan||07:00 AM||07:00 PM
Day 5||At Sea||&mdash;||&mdash;
Day 6||At Sea||&mdash;||&mdash;
Day 7||Petropavlovsk , Russia||08:00 AM||05:00 PM
Day 8||At Sea||&mdash;||&mdash;
Day 9||At Sea||&mdash;||&mdash;
Day 10||At Sea||&mdash;||&mdash;
Day 11||At Sea||&mdash;||&mdash;
Day 12||At Sea||&mdash;||&mdash;
Day 13||At Sea||&mdash;||&mdash;
Day 14||Tokyo (Yokohama) , Japan||07:00 AM||08:00 PM
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:
Nicole Britton Catherine Deneuve Hallgard Bruckhaus
Marty Hollinger Ben Johnson Wolfgang Lukschy
Sergeant Louis Belgrave Paul Winfield Christian Brückner
Paula Hollinger Eileen Brennan Barbara Ratthey
Leo Sellers Eddie Albert Friedrich Schoenfelder
Santuro Ernest Borgnine Arnold Marquis
Busfahrer James Hampton Joachim Kerzel
Räuber Robert Englund Hans-Jürgen Dittberner



TEGRA_table_txt_file: table_8855.txt
TEGRA_TABLE_TEXT: Nicole Britton Catherine Deneuve Hallgard Bruckhaus
Marty Hollinger Ben Johnson Wolfgang Lukschy
Sergeant Louis Belgrave Paul Winfield Christian Brückner
Paula Hollinger Eileen Brennan Barbara Ratthey
Leo Sellers Eddie Albert Friedrich Schoenfelder
Santuro Ernest Borgnine Arnold Marquis
Busfahrer James Hampton Joachim Kerzel
Räuber Robert Englund Hans-Jürgen Dittberner
label: Nicole Britton||Catherine Deneuve||Hallgard Bruckhaus
Marty Hollinger||Ben Johnson||Wolfgang Lukschy
Sergeant Louis Belgrave||Paul Winfield||Christian Brückner
Paula Hollinger||Eileen Brennan||Barbara Ratthey
Leo Sellers||Eddie Albert||Friedrich Schoenfelder
Santuro||Ernest Borgnine||Arnold Marquis
Busfahrer||James Hampton||Joachim Kerzel
Räuber||Robert Englund||Hans-Jürgen Dittberner
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:
dic.academic.ru 32 9 41
slovari.yandex.ru 19 5 24
vk.com 6 18 24
otvet.mail.ru 12 9 21
www.youtube.com 5 13 18
ru.wiktionary.org 5 7 12
www.bibliotekar.ru 8 3 11
www.gumer.info 5 6 11
www.liveinternet.ru 3 8 11
lib.rus.ec 6 4 10
sbiblio.com 7 3 10
muzofon.com 6 3 9
www.coolreferat.com 9 0 9
www.gramota.ru 7 2 9
www.onlinedics.ru 8 1 9
www.rubricon.com 4 5 9
lurkmore.to 5 3 8
malchish.org 6 2 8
otvety.google.ru 6 2 8
www.kinopoisk.ru 4 4 8
www.peoples.ru 5 3 8
lenta.ru 4 3 7
my.mail.ru 5 2 7
revolution.allbest.ru 7 0 7
ria.ru 4 3 7
www.classes.ru 6 1 7
www.slovari.ru 6 1 7
bookz.ru 4 2 6



TEGRA_table_txt_file: table_1508.txt
TEGRA_TABLE_TEXT: dic.academic.ru 32 9 41
slovari.yandex.ru 19 5 24
vk.com 6 18 24
otvet.mail.ru 12 9 21
www.youtube.com 5 13 18
ru.wiktionary.org 5 7 12
www.bibliotekar.ru 8 3 11
www.gumer.info 5 6 11
www.liveinternet.ru 3 8 11
lib.rus.ec 6 4 10
sbiblio.com 7 3 10
muzofon.com 6 3 9
www.coolreferat.com 9 0 9
www.gramota.ru 7 2 9
www.onlinedics.ru 8 1 9
www.rubricon.com 4 5 9
lurkmore.to 5 3 8
malchish.org 6 2 8
otvety.google.ru 6 2 8
www.kinopoisk.ru 4 4 8
www.peoples.ru 5 3 8
lenta.ru 4 3 7
my.mail.ru 5 2 7
revolution.allbest.ru 7 0 7
ria.ru 4 3 7
www.classes.ru 6 1 7
www.slovari.ru 6 1 7
bookz.ru 4 2 6
label: dic.academic.ru||32||9||41
slovari.yandex.ru||19||5||24
vk.com||6||18||24
otvet.mail.ru||12||9||21
www.youtube.com||5||13||18
ru.wiktionary.org||5||7||12
www.bibliotekar.ru||8||3||11
www.gumer.info||5||6||11
www.liveinternet.ru||3||8||11
lib.rus.ec||6||4||10
sbiblio.com||7||3||10
muzofon.com||6||3||9
www.coolreferat.com||9||0||9
www.gramota.ru||7||2||9
www.onlinedics.ru||8||1||9
www.rubricon.com||4||5||9
lurkmore.to||5||3||8
malchish.org||6||2||8
otvety.google.ru||6||2||8
www.kinopoisk.ru||4||4||8
www.peoples.ru||5||3||8
lenta.ru||4||3||7
my.mail.ru||5||2||7
revolution.allbest.ru||7||0||7
ria.ru||4||3||7
www.classes.ru||6||1||7
www.slovari.ru||6||1||7
bookz.ru||4||2||6
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:
1.9% bct.aphp.fr 9.3% 54.7
1.9% formation.aphp.fr 3.4% 20.2
6.7% hopital-necker.aphp.fr 3.1% 5.3
2.3% cfx-jrs.aphp.fr 2.4% 12.2
1.9% tabac-net.aphp.fr 2.1% 12.1
5.8% courrier.aphp.fr 1.2% 2.4
8.6% samu94.aphp.fr 0.8% 1.0
3.9% psl.aphp.fr 0.7% 2.0
1.9% gestime-psl.aphp.fr 0.5% 3.0
1.9% rapport-activite.aphp.fr 0.5% 3.0
1.9% ssl.aphp.fr 0.5% 3.0
1.9% cme.aphp.fr 0.3% 2.0
1.9% infirmiere.ap-hp.fr 0.3% 2.0
3.1% urologie-chu-mondor.aphp.fr 0.3% 1.0
2.6% pfd.aphp.org 0.2% 1.0
1.9% bsr.aphp.fr 0.2% 1.0
1.9% courrier.ap-hop-paris.fr 0.2% 1.0
1.9% cyber-urgences.aphp.fr 0.2% 1.0
1.9% delform.aphp.fr 0.2% 1.0
1.9% panorama.aphp.fr 0.2% 1.0
1.9% telemedecine.aphp.org 0.2% 1.0



TEGRA_table_txt_file: table_7969.txt
TEGRA_TABLE_TEXT: 1.9% bct.aphp.fr 9.3% 54.7
1.9% formation.aphp.fr 3.4% 20.2
6.7% hopital-necker.aphp.fr 3.1% 5.3
2.3% cfx-jrs.aphp.fr 2.4% 12.2
1.9% tabac-net.aphp.fr 2.1% 12.1
5.8% courrier.aphp.fr 1.2% 2.4
8.6% samu94.aphp.fr 0.8% 1.0
3.9% psl.aphp.fr 0.7% 2.0
1.9% gestime-psl.aphp.fr 0.5% 3.0
1.9% rapport-activite.aphp.fr 0.5% 3.0
1.9% ssl.aphp.fr 0.5% 3.0
1.9% cme.aphp.fr 0.3% 2.0
1.9% infirmiere.ap-hp.fr 0.3% 2.0
3.1% urologie-chu-mondor.aphp.fr 0.3% 1.0
2.6% pfd.aphp.org 0.2% 1.0
1.9% bsr.aphp.fr 0.2% 1.0
1.9% courrier.ap-hop-paris.fr 0.2% 1.0
1.9% cyber-urgences.aphp.fr 0.2% 1.0
1.9% delform.aphp.fr 0.2% 1.0
1.9% panorama.aphp.fr 0.2% 1.0
1.9% telemedecine.aphp.org 0.2% 1.0
label: 1.9%||bct.aphp.fr||9.3%||54.7
1.9%||formation.aphp.fr||3.4%||20.2
6.7%||hopital-necker.aphp.fr||3.1%||5.3
2.3%||cfx-jrs.aphp.fr||2.4%||12.2
1.9%||tabac-net.aphp.fr||2.1%||12.1
5.8%||courrier.aphp.fr||1.2%||2.4
8.6%||samu94.aphp.fr||0.8%||1.0
3.9%||psl.aphp.fr||0.7%||2.0
1.9%||gestime-psl.aphp.fr||0.5%||3.0
1.9%||rapport-activite.aphp.fr||0.5%||3.0
1.9%||ssl.aphp.fr||0.5%||3.0
1.9%||cme.aphp.fr||0.3%||2.0
1.9%||infirmiere.ap-hp.fr||0.3%||2.0
3.1%||urologie-chu-mondor.aphp.fr||0.3%||1.0
2.6%||pfd.aphp.org||0.2%||1.0
1.9%||bsr.aphp.fr||0.2%||1.0
1.9%||courrier.ap-hop-paris.fr||0.2%||1.0
1.9%||cyber-urgences.aphp.fr||0.2%||1.0
1.9%||delform.aphp.fr||0.2%||1.0
1.9%||panorama.aphp.fr||0.2%||1.0
1.9%||telemedecine.aphp.org||0.2%||1.0