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:
Bestebakken 5768 4323 61.32 7.20 Mobakken 11, Hafslo 6869
Eikum Hotell 5768 0600 61.32 7.20 Buene 3, Hafslo 6869
Jostedal Hotell 5768 3119 61.63 7.26 Gjerde, Jostedal 6871
Skjolden Hotel 5768 2380 61.49 7.60 Skjolden, Luster 6876
Skogadalsb&oslash;en Turisthytte 975 69 094 61.46 8.01 Jotunheimen vest, Luster 6877
Turtagr&oslash; Hotel 5768 0800 61.50 7.80 Rv55 Sognefjellet, Vestre Jotunheimen 6877



TEGRA_table_txt_file: table_4954.txt
TEGRA_TABLE_TEXT: Bestebakken 5768 4323 61.32 7.20 Mobakken 11, Hafslo 6869
Eikum Hotell 5768 0600 61.32 7.20 Buene 3, Hafslo 6869
Jostedal Hotell 5768 3119 61.63 7.26 Gjerde, Jostedal 6871
Skjolden Hotel 5768 2380 61.49 7.60 Skjolden, Luster 6876
Skogadalsb&oslash;en Turisthytte 975 69 094 61.46 8.01 Jotunheimen vest, Luster 6877
Turtagr&oslash; Hotel 5768 0800 61.50 7.80 Rv55 Sognefjellet, Vestre Jotunheimen 6877
label: Bestebakken||5768 4323||61.32 7.20||Mobakken 11, Hafslo||6869
Eikum Hotell||5768 0600||61.32 7.20||Buene 3, Hafslo||6869
Jostedal Hotell||5768 3119||61.63 7.26||Gjerde, Jostedal||6871
Skjolden Hotel||5768 2380||61.49 7.60||Skjolden, Luster||6876
Skogadalsb&oslash;en Turisthytte||975 69 094||61.46 8.01||Jotunheimen vest, Luster||6877
Turtagr&oslash; Hotel||5768 0800||61.50 7.80||Rv55 Sognefjellet, Vestre Jotunheimen||6877
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:
ACC204 Managerial Accounting 3
ECO201 Microeconomics 3
ECO202 Macroeconomics 3
BUS213 Business Law and Ethics 3
QBA201 Managerial Statistics 3
FIN301 Managerial Finance 3
MGT201 Introduction to Management 3
ITM211 Information Technology Management 3
MKT201 Introduction to Marketing 3
MGT420 Strategic Planning and Policy Formulation 3
BUS299 Civic Engagement 0



TEGRA_table_txt_file: table_3176.txt
TEGRA_TABLE_TEXT: ACC204 Managerial Accounting 3
ECO201 Microeconomics 3
ECO202 Macroeconomics 3
BUS213 Business Law and Ethics 3
QBA201 Managerial Statistics 3
FIN301 Managerial Finance 3
MGT201 Introduction to Management 3
ITM211 Information Technology Management 3
MKT201 Introduction to Marketing 3
MGT420 Strategic Planning and Policy Formulation 3
BUS299 Civic Engagement 0
label: ACC204||Managerial Accounting||3
ECO201||Microeconomics||3
ECO202||Macroeconomics||3
BUS213||Business Law and Ethics||3
QBA201||Managerial Statistics||3
FIN301||Managerial Finance||3
MGT201||Introduction to Management||3
ITM211||Information Technology Management||3
MKT201||Introduction to Marketing||3
MGT420||Strategic Planning and Policy Formulation||3
BUS299||Civic Engagement||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:
Armenia No Yes No
Austria Yes Yes Yes
Azerbaijan No Yes Yes
Belgium Yes Yes Yes
Bosnia and Herzegovina No Yes No
Bulgaria No Yes No
Croatia No Yes No
Cyprus Yes Yes No
Czech Republic No Yes No
Denmark No Yes Yes
Estonia No Yes Yes
Finland No Yes Yes
France No No Yes
Georgia No Yes No
Germany Yes Yes Yes
Greece No Yes No
Hungary No Yes Yes
Iceland No Yes Yes
Ireland No Yes Yes
Italy No Yes Yes
Latvia No Yes No
Lithuania No Yes Yes
Luxembourg No No Yes
Malta No Yes No
Moldova No Yes No
Monaco No No Yes
Montenegro No No No
Netherlands No Yes Yes
Norway No Yes Yes
Poland No Yes No
Portugal Yes Yes Yes
Romania No Yes No
Russian Federation No Yes No
Serbia No Yes No
Slovakia No Yes No
Slovenia No Yes Yes
Spain No No Yes



TEGRA_table_txt_file: table_5951.txt
TEGRA_TABLE_TEXT: Armenia No Yes No
Austria Yes Yes Yes
Azerbaijan No Yes Yes
Belgium Yes Yes Yes
Bosnia and Herzegovina No Yes No
Bulgaria No Yes No
Croatia No Yes No
Cyprus Yes Yes No
Czech Republic No Yes No
Denmark No Yes Yes
Estonia No Yes Yes
Finland No Yes Yes
France No No Yes
Georgia No Yes No
Germany Yes Yes Yes
Greece No Yes No
Hungary No Yes Yes
Iceland No Yes Yes
Ireland No Yes Yes
Italy No Yes Yes
Latvia No Yes No
Lithuania No Yes Yes
Luxembourg No No Yes
Malta No Yes No
Moldova No Yes No
Monaco No No Yes
Montenegro No No No
Netherlands No Yes Yes
Norway No Yes Yes
Poland No Yes No
Portugal Yes Yes Yes
Romania No Yes No
Russian Federation No Yes No
Serbia No Yes No
Slovakia No Yes No
Slovenia No Yes Yes
Spain No No Yes
label: Armenia||No||Yes||No
Austria||Yes||Yes||Yes
Azerbaijan||No||Yes||Yes
Belgium||Yes||Yes||Yes
Bosnia and Herzegovina||No||Yes||No
Bulgaria||No||Yes||No
Croatia||No||Yes||No
Cyprus||Yes||Yes||No
Czech Republic||No||Yes||No
Denmark||No||Yes||Yes
Estonia||No||Yes||Yes
Finland||No||Yes||Yes
France||No||No||Yes
Georgia||No||Yes||No
Germany||Yes||Yes||Yes
Greece||No||Yes||No
Hungary||No||Yes||Yes
Iceland||No||Yes||Yes
Ireland||No||Yes||Yes
Italy||No||Yes||Yes
Latvia||No||Yes||No
Lithuania||No||Yes||Yes
Luxembourg||No||No||Yes
Malta||No||Yes||No
Moldova||No||Yes||No
Monaco||No||No||Yes
Montenegro||No||No||No
Netherlands||No||Yes||Yes
Norway||No||Yes||Yes
Poland||No||Yes||No
Portugal||Yes||Yes||Yes
Romania||No||Yes||No
Russian Federation||No||Yes||No
Serbia||No||Yes||No
Slovakia||No||Yes||No
Slovenia||No||Yes||Yes
Spain||No||No||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:
1 AM Fair 32° 25° 7 mph S 72% 0% 0
2 AM Fair 32° 24° 8 mph S 73% 0% 0
3 AM Fair 31° 24° 8 mph S 75% 0% 0
4 AM Fair 31° 24° 8 mph S 78% 0% 0
5 AM Fair 30° 22° 9 mph SSW 82% 0% 0
6 AM Fair 30° 21° 9 mph SSW 85% 0% 0
7 AM Fair 29° 21° 9 mph SSW 88% 0% 0
8 AM Fair 29° 21° 9 mph SSW 89% 0% 0
9 AM Mostly Sunny 30° 22° 9 mph SSW 89% 0% 0
10 AM Mostly Sunny 33° 26° 9 mph SSW 85% 0% 0
11 AM Mostly Sunny 38° 30° 14 mph W 77% 0% 1



TEGRA_table_txt_file: table_696.txt
TEGRA_TABLE_TEXT: 1 AM Fair 32° 25° 7 mph S 72% 0% 0
2 AM Fair 32° 24° 8 mph S 73% 0% 0
3 AM Fair 31° 24° 8 mph S 75% 0% 0
4 AM Fair 31° 24° 8 mph S 78% 0% 0
5 AM Fair 30° 22° 9 mph SSW 82% 0% 0
6 AM Fair 30° 21° 9 mph SSW 85% 0% 0
7 AM Fair 29° 21° 9 mph SSW 88% 0% 0
8 AM Fair 29° 21° 9 mph SSW 89% 0% 0
9 AM Mostly Sunny 30° 22° 9 mph SSW 89% 0% 0
10 AM Mostly Sunny 33° 26° 9 mph SSW 85% 0% 0
11 AM Mostly Sunny 38° 30° 14 mph W 77% 0% 1
label: 1 AM||Fair||32°||25°||7 mph S||72%||0%||0
2 AM||Fair||32°||24°||8 mph S||73%||0%||0
3 AM||Fair||31°||24°||8 mph S||75%||0%||0
4 AM||Fair||31°||24°||8 mph S||78%||0%||0
5 AM||Fair||30°||22°||9 mph SSW||82%||0%||0
6 AM||Fair||30°||21°||9 mph SSW||85%||0%||0
7 AM||Fair||29°||21°||9 mph SSW||88%||0%||0
8 AM||Fair||29°||21°||9 mph SSW||89%||0%||0
9 AM||Mostly Sunny||30°||22°||9 mph SSW||89%||0%||0
10 AM||Mostly Sunny||33°||26°||9 mph SSW||85%||0%||0
11 AM||Mostly Sunny||38°||30°||14 mph W||77%||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:
2 $1,939 $23,265
3 $2,441 $29,295
4 $2,944 $35,325
5 $3,446 $41,355
6 $3,949 $47,385
7 $4,451 $53,415



TEGRA_table_txt_file: table_9826.txt
TEGRA_TABLE_TEXT: 2 $1,939 $23,265
3 $2,441 $29,295
4 $2,944 $35,325
5 $3,446 $41,355
6 $3,949 $47,385
7 $4,451 $53,415
label: 2||$1,939||$23,265
3||$2,441||$29,295
4||$2,944||$35,325
5||$3,446||$41,355
6||$3,949||$47,385
7||$4,451||$53,415
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:
Precip: 0% 0% 0% 20%
Humidity: 63% -- 80% --
Barometer: 30.21 -- -- --
Dew Point: 46° -- -- --
Visibility: 10.00 -- -- --
Wind: 0mph CALM 6mph ESE 12mph ESE 9mph SE
UV Index: 0 -- 7 --
Sunrise: 7:41 am 7:45 am 7:46 am 7:46 am



TEGRA_table_txt_file: table_140.txt
TEGRA_TABLE_TEXT: Precip: 0% 0% 0% 20%
Humidity: 63% -- 80% --
Barometer: 30.21 -- -- --
Dew Point: 46° -- -- --
Visibility: 10.00 -- -- --
Wind: 0mph CALM 6mph ESE 12mph ESE 9mph SE
UV Index: 0 -- 7 --
Sunrise: 7:41 am 7:45 am 7:46 am 7:46 am
label: Precip:||0%||0%||0%||20%
Humidity:||63%||--||80%||--
Barometer:||30.21||--||--||--
Dew Point:||46°||--||--||--
Visibility:||10.00||--||--||--
Wind:||0mph CALM||6mph ESE||12mph ESE||9mph SE
UV Index:||0||--||7||--
Sunrise:||7:41 am||7:45 am||7:46 am||7:46 am
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
 % % % %
2011 Oct 6-9 68 17 8 8
2010 Oct 7-10 66 17 8 9
2009 Oct 1-4 74 15 6 5
2008 Oct 3-5 67 15 9 9
2007 Oct 4-7 71 14 8 6
2006 Oct 9-12 68 16 8 8
2005 Oct 13-16 67 21 9 3
2004 Oct 11-14 53 28 14 5
2003 Oct 6-8 60 25 11 4
2002 Oct 14-17 62 21 11 6
2001 Oct 11-14 41 43 10 6
2000 Aug 29-Sep 5 47 41 7 5
1998 Oct 23-25 52 35 8 5
1997 Aug 22-25 64 25 6 5
1996 Jul 25-28 71 15 8 6
1993 Oct 13-18 87 4 5 4
1992 Feb 28-Mar 1 89 3 4 4
1990 Sep 10 84 3 7 6
1989 Jan 24-28 84 5 5 6



TEGRA_table_txt_file: table_8102.txt
TEGRA_TABLE_TEXT:  % % % %
2011 Oct 6-9 68 17 8 8
2010 Oct 7-10 66 17 8 9
2009 Oct 1-4 74 15 6 5
2008 Oct 3-5 67 15 9 9
2007 Oct 4-7 71 14 8 6
2006 Oct 9-12 68 16 8 8
2005 Oct 13-16 67 21 9 3
2004 Oct 11-14 53 28 14 5
2003 Oct 6-8 60 25 11 4
2002 Oct 14-17 62 21 11 6
2001 Oct 11-14 41 43 10 6
2000 Aug 29-Sep 5 47 41 7 5
1998 Oct 23-25 52 35 8 5
1997 Aug 22-25 64 25 6 5
1996 Jul 25-28 71 15 8 6
1993 Oct 13-18 87 4 5 4
1992 Feb 28-Mar 1 89 3 4 4
1990 Sep 10 84 3 7 6
1989 Jan 24-28 84 5 5 6
label: ||%||%||%||%
2011 Oct 6-9||68||17||8||8
2010 Oct 7-10||66||17||8||9
2009 Oct 1-4||74||15||6||5
2008 Oct 3-5||67||15||9||9
2007 Oct 4-7||71||14||8||6
2006 Oct 9-12||68||16||8||8
2005 Oct 13-16||67||21||9||3
2004 Oct 11-14||53||28||14||5
2003 Oct 6-8||60||25||11||4
2002 Oct 14-17||62||21||11||6
2001 Oct 11-14||41||43||10||6
2000 Aug 29-Sep 5||47||41||7||5
1998 Oct 23-25||52||35||8||5
1997 Aug 22-25||64||25||6||5
1996 Jul 25-28||71||15||8||6
1993 Oct 13-18||87||4||5||4
1992 Feb 28-Mar 1||89||3||4||4
1990 Sep 10||84||3||7||6
1989 Jan 24-28||84||5||5||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:
2 Grêmio 30 +11 53
3 Atlético PR 30 +9 51
4 Botafogo 30 +9 50
5 Goiás 30 +4 46
6 Atlético Mineiro 30 +5 45
7 Vitória 30 +0 44
8 Santos 30 +8 43
9 Internacional 30 +3 42
10 São Paulo 30 +1 40
11 Flamengo 30 +0 40
12 Corinthians 30 +5 40
13 Portuguesa 30 +2 38
14 Coritiba 30 -6 37
15 Fluminense 30 -4 36
16 Bahia 30 -7 36
17 Vasco da Gama 30 -9 33
18 Criciúma 30 -13 32
19 Ponte Preta 30 -12 30



TEGRA_table_txt_file: table_2459.txt
TEGRA_TABLE_TEXT: 2 Grêmio 30 +11 53
3 Atlético PR 30 +9 51
4 Botafogo 30 +9 50
5 Goiás 30 +4 46
6 Atlético Mineiro 30 +5 45
7 Vitória 30 +0 44
8 Santos 30 +8 43
9 Internacional 30 +3 42
10 São Paulo 30 +1 40
11 Flamengo 30 +0 40
12 Corinthians 30 +5 40
13 Portuguesa 30 +2 38
14 Coritiba 30 -6 37
15 Fluminense 30 -4 36
16 Bahia 30 -7 36
17 Vasco da Gama 30 -9 33
18 Criciúma 30 -13 32
19 Ponte Preta 30 -12 30
label: 2||Grêmio||30||+11||53
3||Atlético PR||30||+9||51
4||Botafogo||30||+9||50
5||Goiás||30||+4||46
6||Atlético Mineiro||30||+5||45
7||Vitória||30||+0||44
8||Santos||30||+8||43
9||Internacional||30||+3||42
10||São Paulo||30||+1||40
11||Flamengo||30||+0||40
12||Corinthians||30||+5||40
13||Portuguesa||30||+2||38
14||Coritiba||30||-6||37
15||Fluminense||30||-4||36
16||Bahia||30||-7||36
17||Vasco da Gama||30||-9||33
18||Criciúma||30||-13||32
19||Ponte Preta||30||-12||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:
1002 Fedha na Uhasibu 33,753,300 125,766,900 159,520,200
2001 Maafa 48,167,800 213,311,600 261,479,400
3001 Bunge na Siasa 41,917,500 3,223,640,600 3,265,558,100
5001 Uratibu 105,769,600 322,156,000 427,925,600
7001 Mpiga Chapa Mkuu wa Serikali <![if !supportEmptyParas]> <![endif]> 202,103,000 <![if !supportEmptyParas]> <![endif]> 1,440,000,000 <![if !supportEmptyParas]> <![endif]> 1,642,103,000
7003 Habari/Maelezo 117,217,800 161,857,200 279,075,000



TEGRA_table_txt_file: table_5774.txt
TEGRA_TABLE_TEXT: 1002 Fedha na Uhasibu 33,753,300 125,766,900 159,520,200
2001 Maafa 48,167,800 213,311,600 261,479,400
3001 Bunge na Siasa 41,917,500 3,223,640,600 3,265,558,100
5001 Uratibu 105,769,600 322,156,000 427,925,600
7001 Mpiga Chapa Mkuu wa Serikali <![if !supportEmptyParas]> <![endif]> 202,103,000 <![if !supportEmptyParas]> <![endif]> 1,440,000,000 <![if !supportEmptyParas]> <![endif]> 1,642,103,000
7003 Habari/Maelezo 117,217,800 161,857,200 279,075,000
label: 1002||Fedha na Uhasibu||33,753,300||125,766,900||159,520,200
2001||Maafa||48,167,800||213,311,600||261,479,400
3001||Bunge na Siasa||41,917,500||3,223,640,600||3,265,558,100
5001||Uratibu||105,769,600||322,156,000||427,925,600
7001||Mpiga Chapa Mkuu wa Serikali||<![if !supportEmptyParas]> <![endif]> 202,103,000||<![if !supportEmptyParas]> <![endif]> 1,440,000,000||<![if !supportEmptyParas]> <![endif]> 1,642,103,000
7003||Habari/Maelezo||117,217,800||161,857,200||279,075,000
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:
 20-30kg 31-100kg 101-200kg yli 200kg
00100 - 19999 14 e 18 e 19 e 59 e
20000 - 39999 16 e 20 e 24 e 69 e
45000 - 49999 16 e 20 e 24 e 69 e
40000 - 44999 18 e 23 e 29 e 79 e



TEGRA_table_txt_file: table_7125.txt
TEGRA_TABLE_TEXT:  20-30kg 31-100kg 101-200kg yli 200kg
00100 - 19999 14 e 18 e 19 e 59 e
20000 - 39999 16 e 20 e 24 e 69 e
45000 - 49999 16 e 20 e 24 e 69 e
40000 - 44999 18 e 23 e 29 e 79 e
label: ||20-30kg||31-100kg||101-200kg||yli 200kg
00100 - 19999||14 e||18 e||19 e||59 e
20000 - 39999||16 e||20 e||24 e||69 e
45000 - 49999||16 e||20 e||24 e||69 e
40000 - 44999||18 e||23 e||29 e||79 e
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:
68 Burnham Wy $380,000 3 Normal Sale 20/08/13
33 Colne Wy $465,000 4 Normal Sale 14/08/13
30 Golders Wy $395,000 3 Normal Sale 13/08/13
62 Girrawheen Av $380,000 3 Normal Sale 09/08/13
19 Girrawheen Av $66,500 3 Normal Sale 08/08/13
49 Casserley Av $395,000 3 Normal Sale 06/08/13
272 Marangaroo Drv $380,000 3 Normal Sale 01/08/13
6/15 Yapton Turn $423,000 3 Normal Sale 01/08/13



TEGRA_table_txt_file: table_7376.txt
TEGRA_TABLE_TEXT: 68 Burnham Wy $380,000 3 Normal Sale 20/08/13
33 Colne Wy $465,000 4 Normal Sale 14/08/13
30 Golders Wy $395,000 3 Normal Sale 13/08/13
62 Girrawheen Av $380,000 3 Normal Sale 09/08/13
19 Girrawheen Av $66,500 3 Normal Sale 08/08/13
49 Casserley Av $395,000 3 Normal Sale 06/08/13
272 Marangaroo Drv $380,000 3 Normal Sale 01/08/13
6/15 Yapton Turn $423,000 3 Normal Sale 01/08/13
label: 68 Burnham Wy||$380,000||3||Normal Sale||20/08/13
33 Colne Wy||$465,000||4||Normal Sale||14/08/13
30 Golders Wy||$395,000||3||Normal Sale||13/08/13
62 Girrawheen Av||$380,000||3||Normal Sale||09/08/13
19 Girrawheen Av||$66,500||3||Normal Sale||08/08/13
49 Casserley Av||$395,000||3||Normal Sale||06/08/13
272 Marangaroo Drv||$380,000||3||Normal Sale||01/08/13
6/15 Yapton Turn||$423,000||3||Normal Sale||01/08/13
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:
Longitud (D) 2896 Longitud (A) 7847
Anchura (E) 2360 Anchura (B) 2438
Altura 2360 Altura 3350
Zona de cambio/Tack   
Longitud (G) 3048 Peso Aprox. Endeavour
Anchura (E) 2337 M&aacute;x. carga en eje delantero 3000 kg
Altura 2286 M&aacute;x. carga en eje trasero 6000 kg
  Peso en vac&iacute;o 4750 kg



TEGRA_table_txt_file: table_7738.txt
TEGRA_TABLE_TEXT: Longitud (D) 2896 Longitud (A) 7847
Anchura (E) 2360 Anchura (B) 2438
Altura 2360 Altura 3350
Zona de cambio/Tack   
Longitud (G) 3048 Peso Aprox. Endeavour
Anchura (E) 2337 M&aacute;x. carga en eje delantero 3000 kg
Altura 2286 M&aacute;x. carga en eje trasero 6000 kg
  Peso en vac&iacute;o 4750 kg
label: Longitud (D)||2896||Longitud (A)||7847
Anchura (E)||2360||Anchura (B)||2438
Altura||2360||Altura||3350
Zona de cambio/Tack||||||
Longitud (G)||3048||Peso Aprox.||Endeavour
Anchura (E)||2337||M&aacute;x. carga en eje delantero||3000 kg
Altura||2286||M&aacute;x. carga en eje trasero||6000 kg
||||Peso en vac&iacute;o||4750 kg
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
2 Manchester City 38 23 9 6 66 - 34 78
3 Chelsea 38 22 9 7 75 - 39 75
4 Arsenal 38 21 10 7 72 - 37 73
5 Tottenham 38 21 9 8 66 - 46 72
6 Everton 38 16 15 7 55 - 40 63
7 Liverpool 38 16 13 9 71 - 43 61
8 West Bromwich 38 14 7 17 52 - 58 49
9 Swansea 38 11 13 14 47 - 51 46
10 West Ham 38 12 10 16 45 - 53 46
11 Norwich 38 10 14 14 41 - 58 44
12 Fulham 38 11 10 17 50 - 60 43
13 Stoke 38 9 15 14 34 - 45 42
14 Southampton 38 9 14 15 50 - 59 41
15 Aston Villa 38 10 11 17 47 - 69 41
16 Newcastle 38 11 8 19 45 - 68 41
17 Sunderland 38 9 12 17 41 - 54 39
18 Wigan 38 9 9 20 47 - 73 36
19 Reading 38 6 10 22 43 - 73 28



TEGRA_table_txt_file: table_1612.txt
TEGRA_TABLE_TEXT: 2 Manchester City 38 23 9 6 66 - 34 78
3 Chelsea 38 22 9 7 75 - 39 75
4 Arsenal 38 21 10 7 72 - 37 73
5 Tottenham 38 21 9 8 66 - 46 72
6 Everton 38 16 15 7 55 - 40 63
7 Liverpool 38 16 13 9 71 - 43 61
8 West Bromwich 38 14 7 17 52 - 58 49
9 Swansea 38 11 13 14 47 - 51 46
10 West Ham 38 12 10 16 45 - 53 46
11 Norwich 38 10 14 14 41 - 58 44
12 Fulham 38 11 10 17 50 - 60 43
13 Stoke 38 9 15 14 34 - 45 42
14 Southampton 38 9 14 15 50 - 59 41
15 Aston Villa 38 10 11 17 47 - 69 41
16 Newcastle 38 11 8 19 45 - 68 41
17 Sunderland 38 9 12 17 41 - 54 39
18 Wigan 38 9 9 20 47 - 73 36
19 Reading 38 6 10 22 43 - 73 28
label: 2||Manchester City||38||23||9||6||66 - 34||78
3||Chelsea||38||22||9||7||75 - 39||75
4||Arsenal||38||21||10||7||72 - 37||73
5||Tottenham||38||21||9||8||66 - 46||72
6||Everton||38||16||15||7||55 - 40||63
7||Liverpool||38||16||13||9||71 - 43||61
8||West Bromwich||38||14||7||17||52 - 58||49
9||Swansea||38||11||13||14||47 - 51||46
10||West Ham||38||12||10||16||45 - 53||46
11||Norwich||38||10||14||14||41 - 58||44
12||Fulham||38||11||10||17||50 - 60||43
13||Stoke||38||9||15||14||34 - 45||42
14||Southampton||38||9||14||15||50 - 59||41
15||Aston Villa||38||10||11||17||47 - 69||41
16||Newcastle||38||11||8||19||45 - 68||41
17||Sunderland||38||9||12||17||41 - 54||39
18||Wigan||38||9||9||20||47 - 73||36
19||Reading||38||6||10||22||43 - 73||28
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 Soni (SONI) 17:32 17:34 2 min 24 km
3 Gohad Road (GOA) 17:50 17:52 2 min 40 km
4 Malanpur (MLAR) 18:09 18:11 2 min 57 km
5 Sanichara (SAC) 18:23 18:25 2 min 64 km
6 Gwalior (GWL) 19:00 19:30 30 min 82 km
7 Shivpuri (SVPI) 22:03 22:05 2 min 208 km
8 Guna (GUNA) 00:45 00:55 10 min 310 km
9 Ruthiyai (RTA) 01:25 01:30 5 min 330 km
10 Biyavra Rajgarh (BRRG) 02:43 02:45 2 min 407 km
11 Shajapur (SFY) 03:58 04:00 2 min 496 km
12 Maksi (MKC) 05:00 05:02 2 min 524 km
13 Ujjain Junction (UJN) 05:45 06:05 20 min 565 km
14 Dewas (DWX) 06:39 06:41 2 min 605 km



TEGRA_table_txt_file: table_4751.txt
TEGRA_TABLE_TEXT: 2 Soni (SONI) 17:32 17:34 2 min 24 km
3 Gohad Road (GOA) 17:50 17:52 2 min 40 km
4 Malanpur (MLAR) 18:09 18:11 2 min 57 km
5 Sanichara (SAC) 18:23 18:25 2 min 64 km
6 Gwalior (GWL) 19:00 19:30 30 min 82 km
7 Shivpuri (SVPI) 22:03 22:05 2 min 208 km
8 Guna (GUNA) 00:45 00:55 10 min 310 km
9 Ruthiyai (RTA) 01:25 01:30 5 min 330 km
10 Biyavra Rajgarh (BRRG) 02:43 02:45 2 min 407 km
11 Shajapur (SFY) 03:58 04:00 2 min 496 km
12 Maksi (MKC) 05:00 05:02 2 min 524 km
13 Ujjain Junction (UJN) 05:45 06:05 20 min 565 km
14 Dewas (DWX) 06:39 06:41 2 min 605 km
label: 2||Soni (SONI)||17:32||17:34||2 min||24 km
3||Gohad Road (GOA)||17:50||17:52||2 min||40 km
4||Malanpur (MLAR)||18:09||18:11||2 min||57 km
5||Sanichara (SAC)||18:23||18:25||2 min||64 km
6||Gwalior (GWL)||19:00||19:30||30 min||82 km
7||Shivpuri (SVPI)||22:03||22:05||2 min||208 km
8||Guna (GUNA)||00:45||00:55||10 min||310 km
9||Ruthiyai (RTA)||01:25||01:30||5 min||330 km
10||Biyavra Rajgarh (BRRG)||02:43||02:45||2 min||407 km
11||Shajapur (SFY)||03:58||04:00||2 min||496 km
12||Maksi (MKC)||05:00||05:02||2 min||524 km
13||Ujjain Junction (UJN)||05:45||06:05||20 min||565 km
14||Dewas (DWX)||06:39||06:41||2 min||605 km
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:
Finale 600
1/2 finale 360
1/4 de finale 180
3e tour 90
2e tour 45



TEGRA_table_txt_file: table_2028.txt
TEGRA_TABLE_TEXT: Finale 600
1/2 finale 360
1/4 de finale 180
3e tour 90
2e tour 45
label: Finale||600
1/2 finale||360
1/4 de finale||180
3e tour||90
2e tour||45
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
2 General v. be pertinent to ilgisi olmak >
3 General v. be pertinent to ile ilgisi olmak >
4 General v. be pertinent to ilgili olmak >
5 General n. a pertinent remark yerinde bir söz >
6 General adj. pertinent to -e uygun >
7 Law  prepare pertinent documents gerekli belgeleri düzenlemek >
8 Technical  pertinent data uygun veri >



TEGRA_table_txt_file: table_5583.txt
TEGRA_TABLE_TEXT: 2 General v. be pertinent to ilgisi olmak >
3 General v. be pertinent to ile ilgisi olmak >
4 General v. be pertinent to ilgili olmak >
5 General n. a pertinent remark yerinde bir söz >
6 General adj. pertinent to -e uygun >
7 Law  prepare pertinent documents gerekli belgeleri düzenlemek >
8 Technical  pertinent data uygun veri >
label: 2||General||v.||be pertinent to||ilgisi olmak||>
3||General||v.||be pertinent to||ile ilgisi olmak||>
4||General||v.||be pertinent to||ilgili olmak||>
5||General||n.||a pertinent remark||yerinde bir söz||>
6||General||adj.||pertinent to||-e uygun||>
7||Law||||prepare pertinent documents||gerekli belgeleri düzenlemek||>
8||Technical||||pertinent data||uygun veri||>
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:
21.10.2013 21:00 Crystal Palace - : - Fulham
20.10.2013 17:00 Aston Villa 0 : 2 Tottenham
19.10.2013 18:30 West Ham United 1 : 3 Manchester City
19.10.2013 16:00 Chelsea 4 : 1 Cardiff City
19.10.2013 16:00 Swansea City 4 : 0 Sunderland
19.10.2013 16:00 Manchester United 1 : 1 Southampton
19.10.2013 16:00 Stoke 0 : 0 West Bromwich Albion
19.10.2013 16:00 Arsenal Londyn 4 : 1 Norwich City
19.10.2013 16:00 Everton 2 : 1 Hull City



TEGRA_table_txt_file: table_8413.txt
TEGRA_TABLE_TEXT: 21.10.2013 21:00 Crystal Palace - : - Fulham
20.10.2013 17:00 Aston Villa 0 : 2 Tottenham
19.10.2013 18:30 West Ham United 1 : 3 Manchester City
19.10.2013 16:00 Chelsea 4 : 1 Cardiff City
19.10.2013 16:00 Swansea City 4 : 0 Sunderland
19.10.2013 16:00 Manchester United 1 : 1 Southampton
19.10.2013 16:00 Stoke 0 : 0 West Bromwich Albion
19.10.2013 16:00 Arsenal Londyn 4 : 1 Norwich City
19.10.2013 16:00 Everton 2 : 1 Hull City
label: 21.10.2013||21:00||Crystal Palace||- : -||Fulham
20.10.2013||17:00||Aston Villa||0 : 2||Tottenham
19.10.2013||18:30||West Ham United||1 : 3||Manchester City
19.10.2013||16:00||Chelsea||4 : 1||Cardiff City
19.10.2013||16:00||Swansea City||4 : 0||Sunderland
19.10.2013||16:00||Manchester United||1 : 1||Southampton
19.10.2013||16:00||Stoke||0 : 0||West Bromwich Albion
19.10.2013||16:00||Arsenal Londyn||4 : 1||Norwich City
19.10.2013||16:00||Everton||2 : 1||Hull City
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:
FIN321 Introduction to Insurance 3
FIN322 Global Financial Managament 3
FIN323 Islamic Banking and Finance 3
FIN399 Internship/ Practicum 1
FIN401 Senior Seminar in Finance 3
FIN421 Financial Derivatives 3
MGT236 Communication Skills 1
MGT366 Developing a Business Plan 1
MGT436 Personality and Career Development 1
OPM301 Operation and Production Management 3



TEGRA_table_txt_file: table_3173.txt
TEGRA_TABLE_TEXT: FIN321 Introduction to Insurance 3
FIN322 Global Financial Managament 3
FIN323 Islamic Banking and Finance 3
FIN399 Internship/ Practicum 1
FIN401 Senior Seminar in Finance 3
FIN421 Financial Derivatives 3
MGT236 Communication Skills 1
MGT366 Developing a Business Plan 1
MGT436 Personality and Career Development 1
OPM301 Operation and Production Management 3
label: FIN321||Introduction to Insurance||3
FIN322||Global Financial Managament||3
FIN323||Islamic Banking and Finance||3
FIN399||Internship/ Practicum||1
FIN401||Senior Seminar in Finance||3
FIN421||Financial Derivatives||3
MGT236||Communication Skills||1
MGT366||Developing a Business Plan||1
MGT436||Personality and Career Development||1
OPM301||Operation and Production Management||3
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
Gppref.dll 6.1.7601.22207 6,577,152 02-Jan-2013 04:43 IA-64
Gpprefbr.dll 6.1.7601.22207 1,786,880 02-Jan-2013 04:43 IA-64
Gpprefcn.dll 6.1.7601.22207 463,360 02-Jan-2013 04:43 IA-64
Gpregistrybrowser.dll 6.1.7601.17514 581.120 20 De novembro de 2010 10:26 IA-64
Propshts.dll 6.1.7601.22207 7,069,184 02-Jan-2013 04:43 IA-64



TEGRA_table_txt_file: table_2349.txt
TEGRA_TABLE_TEXT: Gppref.dll 6.1.7601.22207 6,577,152 02-Jan-2013 04:43 IA-64
Gpprefbr.dll 6.1.7601.22207 1,786,880 02-Jan-2013 04:43 IA-64
Gpprefcn.dll 6.1.7601.22207 463,360 02-Jan-2013 04:43 IA-64
Gpregistrybrowser.dll 6.1.7601.17514 581.120 20 De novembro de 2010 10:26 IA-64
Propshts.dll 6.1.7601.22207 7,069,184 02-Jan-2013 04:43 IA-64
label: Gppref.dll||6.1.7601.22207||6,577,152||02-Jan-2013||04:43||IA-64
Gpprefbr.dll||6.1.7601.22207||1,786,880||02-Jan-2013||04:43||IA-64
Gpprefcn.dll||6.1.7601.22207||463,360||02-Jan-2013||04:43||IA-64
Gpregistrybrowser.dll||6.1.7601.17514||581.120||20 De novembro de 2010||10:26||IA-64
Propshts.dll||6.1.7601.22207||7,069,184||02-Jan-2013||04:43||IA-64
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 FC Barcelona 38 28 7 3 85 91
3 Valencia 38 17 10 11 15 61
4 Málaga 38 17 7 14 1 58
5 Atlético de Madrid 38 15 11 12 7 56
6 Levante 38 16 7 15 4 55
7 Osasuna 38 13 15 10 -17 54
8 Mallorca 38 14 10 14 -4 52
9 Sevilla 38 13 11 14 1 50
10 Athletic Club 38 12 13 13 -3 49
11 Getafe 38 12 11 15 -11 47
12 Real Sociedad 38 12 11 15 -6 47
13 Betis 38 13 8 17 -9 47
14 Espanyol 38 12 10 16 -10 46
15 Rayo Vallecano 38 13 4 21 -20 43
16 Zaragoza 38 12 7 19 -25 43
17 Granada CF 38 12 6 20 -21 42
18 Villarreal 38 9 14 15 -14 41
19 Sporting 38 10 7 21 -27 37



TEGRA_table_txt_file: table_1336.txt
TEGRA_TABLE_TEXT: 2 FC Barcelona 38 28 7 3 85 91
3 Valencia 38 17 10 11 15 61
4 Málaga 38 17 7 14 1 58
5 Atlético de Madrid 38 15 11 12 7 56
6 Levante 38 16 7 15 4 55
7 Osasuna 38 13 15 10 -17 54
8 Mallorca 38 14 10 14 -4 52
9 Sevilla 38 13 11 14 1 50
10 Athletic Club 38 12 13 13 -3 49
11 Getafe 38 12 11 15 -11 47
12 Real Sociedad 38 12 11 15 -6 47
13 Betis 38 13 8 17 -9 47
14 Espanyol 38 12 10 16 -10 46
15 Rayo Vallecano 38 13 4 21 -20 43
16 Zaragoza 38 12 7 19 -25 43
17 Granada CF 38 12 6 20 -21 42
18 Villarreal 38 9 14 15 -14 41
19 Sporting 38 10 7 21 -27 37
label: 2||FC Barcelona||38||28||7||3||85||91
3||Valencia||38||17||10||11||15||61
4||Málaga||38||17||7||14||1||58
5||Atlético de Madrid||38||15||11||12||7||56
6||Levante||38||16||7||15||4||55
7||Osasuna||38||13||15||10||-17||54
8||Mallorca||38||14||10||14||-4||52
9||Sevilla||38||13||11||14||1||50
10||Athletic Club||38||12||13||13||-3||49
11||Getafe||38||12||11||15||-11||47
12||Real Sociedad||38||12||11||15||-6||47
13||Betis||38||13||8||17||-9||47
14||Espanyol||38||12||10||16||-10||46
15||Rayo Vallecano||38||13||4||21||-20||43
16||Zaragoza||38||12||7||19||-25||43
17||Granada CF||38||12||6||20||-21||42
18||Villarreal||38||9||14||15||-14||41
19||Sporting||38||10||7||21||-27||37
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) 27.0 14.0 22.3 31:08 25-95 (3.7) 25-40 62.8% 283 (7.1) 65-378 (5.8) (14)
Opponents Defensive Avg. 25.3 13.4 21 31:12 27-101 (3.8) 24-37 63.9% 269 (7.2) 64-370 (5.8) (14.6)
Offense Home Games 37.0 21.5 25.5 34:04 31-138 (4.4) 25-39 65.4% 290 (7.4) 70-428 (6.1) (11.6)
Defense (All Games) 23.3 12.3 20.7 28:52 23-125 (5.4) 24-40 61.3% 268 (6.8) 63-393 (6.3) (16.8)
Opponents Offensive Avg. 23.4 12.2 20.1 29:48 24-111 (4.6) 23-38 61.5% 257 (6.8) 62-368 (5.9) (15.7)



TEGRA_table_txt_file: table_2492.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) 27.0 14.0 22.3 31:08 25-95 (3.7) 25-40 62.8% 283 (7.1) 65-378 (5.8) (14)
Opponents Defensive Avg. 25.3 13.4 21 31:12 27-101 (3.8) 24-37 63.9% 269 (7.2) 64-370 (5.8) (14.6)
Offense Home Games 37.0 21.5 25.5 34:04 31-138 (4.4) 25-39 65.4% 290 (7.4) 70-428 (6.1) (11.6)
Defense (All Games) 23.3 12.3 20.7 28:52 23-125 (5.4) 24-40 61.3% 268 (6.8) 63-393 (6.3) (16.8)
Opponents Offensive Avg. 23.4 12.2 20.1 29:48 24-111 (4.6) 23-38 61.5% 257 (6.8) 62-368 (5.9) (15.7)
label: ||Rushing||Passing||Total||||||||||||||||||||
||PPG||Half||FD||TOP||ATT-YDS||YPR||CMP-ATT||PCT||YDS||PYA||ATT-YDS||YPP||YPPT
Offense (All Games)||27.0||14.0||22.3||31:08||25-95||(3.7)||25-40||62.8%||283||(7.1)||65-378||(5.8)||(14)
Opponents Defensive Avg.||25.3||13.4||21||31:12||27-101||(3.8)||24-37||63.9%||269||(7.2)||64-370||(5.8)||(14.6)
Offense Home Games||37.0||21.5||25.5||34:04||31-138||(4.4)||25-39||65.4%||290||(7.4)||70-428||(6.1)||(11.6)
Defense (All Games)||23.3||12.3||20.7||28:52||23-125||(5.4)||24-40||61.3%||268||(6.8)||63-393||(6.3)||(16.8)
Opponents Offensive Avg.||23.4||12.2||20.1||29:48||24-111||(4.6)||23-38||61.5%||257||(6.8)||62-368||(5.9)||(15.7)
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:
udp://tracker.btscene.eu:80/announce outdated 18 Feb 2013 - - -
http://tracker.ex.ua/announce outdated 18 Feb 2013 - - -
udp://tracker.openbittorrent.com:80/announce outdated 18 Feb 2013 - - -
udp://tracker.istole.it:80/announce outdated 18 Feb 2013 - - -
udp://tracker.publicbt.com:80/announce outdated 18 Feb 2013 - - -
http://exodus.desync.com:6969/announce blocked 18 Feb 2013 - - -
udp://fr33domtracker.h33t.com:3310/announce deleted 18 Feb 2013 - - -
udp://11.rarbg.com:80/announce private 18 Feb 2013 0 0 0



TEGRA_table_txt_file: table_5797.txt
TEGRA_TABLE_TEXT: udp://tracker.btscene.eu:80/announce outdated 18 Feb 2013 - - -
http://tracker.ex.ua/announce outdated 18 Feb 2013 - - -
udp://tracker.openbittorrent.com:80/announce outdated 18 Feb 2013 - - -
udp://tracker.istole.it:80/announce outdated 18 Feb 2013 - - -
udp://tracker.publicbt.com:80/announce outdated 18 Feb 2013 - - -
http://exodus.desync.com:6969/announce blocked 18 Feb 2013 - - -
udp://fr33domtracker.h33t.com:3310/announce deleted 18 Feb 2013 - - -
udp://11.rarbg.com:80/announce private 18 Feb 2013 0 0 0
label: udp://tracker.btscene.eu:80/announce||outdated||18 Feb 2013||-||-||-
http://tracker.ex.ua/announce||outdated||18 Feb 2013||-||-||-
udp://tracker.openbittorrent.com:80/announce||outdated||18 Feb 2013||-||-||-
udp://tracker.istole.it:80/announce||outdated||18 Feb 2013||-||-||-
udp://tracker.publicbt.com:80/announce||outdated||18 Feb 2013||-||-||-
http://exodus.desync.com:6969/announce||blocked||18 Feb 2013||-||-||-
udp://fr33domtracker.h33t.com:3310/announce||deleted||18 Feb 2013||-||-||-
udp://11.rarbg.com:80/announce||private||18 Feb 2013||0||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:
Quarter Ending Oct-13 203.40 203.40 203.40 165.50 --
Quarter Ending Jan-14 197.90 197.90 197.90 158.60 --
Year Ending Oct-13 697.00 697.00 697.00 646.00 614.50
Year Ending Oct-14 850.40 850.40 850.40 690.80 --
Earnings (per share)     
Quarter Ending Oct-13 0.38 0.38 0.38 0.28 --
Quarter Ending Jan-14 0.28 0.28 0.28 0.14 --
Quarter Ending Oct-13 1.26 1.26 1.26 1.06 0.89



TEGRA_table_txt_file: table_6046.txt
TEGRA_TABLE_TEXT: Quarter Ending Oct-13 203.40 203.40 203.40 165.50 --
Quarter Ending Jan-14 197.90 197.90 197.90 158.60 --
Year Ending Oct-13 697.00 697.00 697.00 646.00 614.50
Year Ending Oct-14 850.40 850.40 850.40 690.80 --
Earnings (per share)     
Quarter Ending Oct-13 0.38 0.38 0.38 0.28 --
Quarter Ending Jan-14 0.28 0.28 0.28 0.14 --
Quarter Ending Oct-13 1.26 1.26 1.26 1.06 0.89
label: Quarter Ending Oct-13||203.40||203.40||203.40||165.50||--
Quarter Ending Jan-14||197.90||197.90||197.90||158.60||--
Year Ending Oct-13||697.00||697.00||697.00||646.00||614.50
Year Ending Oct-14||850.40||850.40||850.40||690.80||--
Earnings (per share)||||||||||
Quarter Ending Oct-13||0.38||0.38||0.38||0.28||--
Quarter Ending Jan-14||0.28||0.28||0.28||0.14||--
Quarter Ending Oct-13||1.26||1.26||1.26||1.06||0.89