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:
Slovenia 133 840 315 34 581 038 25,8%
Spain 2 983 492 000 na 
Sweden 452 000 000 3 500 000 0,8%
Switzerland 673 348 943 88 811 872 13,2%
FYROMacedonia 22 241 278 8 912 212 40,1%
Turkey 522 486 876 279 094 188 53,4%
Ukraine 276 961 140 na 
UK-England & Wales 1 504 095 309 671 000 000 44,6%
UK-Northern Ireland 185 002 000 15 033 000 8,1%



TEGRA_table_txt_file: table_5953.txt
TEGRA_TABLE_TEXT: Slovenia 133 840 315 34 581 038 25,8%
Spain 2 983 492 000 na 
Sweden 452 000 000 3 500 000 0,8%
Switzerland 673 348 943 88 811 872 13,2%
FYROMacedonia 22 241 278 8 912 212 40,1%
Turkey 522 486 876 279 094 188 53,4%
Ukraine 276 961 140 na 
UK-England & Wales 1 504 095 309 671 000 000 44,6%
UK-Northern Ireland 185 002 000 15 033 000 8,1%
label: Slovenia||133 840 315||34 581 038||25,8%
Spain||2 983 492 000||na||
Sweden||452 000 000||3 500 000||0,8%
Switzerland||673 348 943||88 811 872||13,2%
FYROMacedonia||22 241 278||8 912 212||40,1%
Turkey||522 486 876||279 094 188||53,4%
Ukraine||276 961 140||na||
UK-England & Wales||1 504 095 309||671 000 000||44,6%
UK-Northern Ireland||185 002 000||15 033 000||8,1%
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:
08-06-30 Brescia Bologna 2-0 (1-0)
08-06-30 Genoa Juventus 2-0 (0-0)
08-06-30 Alessandria Livorno 3-2 (2-0)
08-06-30 Milan Pro Vercelli 3-0 (2-0)
08-06-30 Napoli Lazio 3-0 (0-0)
08-06-30 Torino Inter 4-1 (2-1)
08-06-30 Modena Cremonese 5-1 (2-1)



TEGRA_table_txt_file: table_5723.txt
TEGRA_TABLE_TEXT: 08-06-30 Brescia Bologna 2-0 (1-0)
08-06-30 Genoa Juventus 2-0 (0-0)
08-06-30 Alessandria Livorno 3-2 (2-0)
08-06-30 Milan Pro Vercelli 3-0 (2-0)
08-06-30 Napoli Lazio 3-0 (0-0)
08-06-30 Torino Inter 4-1 (2-1)
08-06-30 Modena Cremonese 5-1 (2-1)
label: 08-06-30||Brescia||Bologna||2-0||(1-0)
08-06-30||Genoa||Juventus||2-0||(0-0)
08-06-30||Alessandria||Livorno||3-2||(2-0)
08-06-30||Milan||Pro Vercelli||3-0||(2-0)
08-06-30||Napoli||Lazio||3-0||(0-0)
08-06-30||Torino||Inter||4-1||(2-1)
08-06-30||Modena||Cremonese||5-1||(2-1)
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:
12-17 1 dropper (0.8mL) &frac12; tsp (2.5mL) NA NA NA
18-23 1.5 dropper (1.2mL) &frac34; tsp (3.5mL) NA NA NA
24-35 2 droppers (1.6mL) 1 tsp (5mL) 2 tablets NA NA
36-47 NA 1.5 tsp(7.5mL) 3 tablets 1.5 tablets NA
48-59 NA 2 tsp(10mL) 4 tablets 2 tablets 1 tablet
60-71 NA 2.5 tsp(12.5mL) 5 tablets 2.5 tablets 1.25 tablets



TEGRA_table_txt_file: table_5058.txt
TEGRA_TABLE_TEXT: 12-17 1 dropper (0.8mL) &frac12; tsp (2.5mL) NA NA NA
18-23 1.5 dropper (1.2mL) &frac34; tsp (3.5mL) NA NA NA
24-35 2 droppers (1.6mL) 1 tsp (5mL) 2 tablets NA NA
36-47 NA 1.5 tsp(7.5mL) 3 tablets 1.5 tablets NA
48-59 NA 2 tsp(10mL) 4 tablets 2 tablets 1 tablet
60-71 NA 2.5 tsp(12.5mL) 5 tablets 2.5 tablets 1.25 tablets
label: 12-17||1 dropper (0.8mL)||&frac12; tsp (2.5mL)||NA||NA||NA
18-23||1.5 dropper (1.2mL)||&frac34; tsp (3.5mL)||NA||NA||NA
24-35||2 droppers (1.6mL)||1 tsp (5mL)||2 tablets||NA||NA
36-47||NA||1.5 tsp(7.5mL)||3 tablets||1.5 tablets||NA
48-59||NA||2 tsp(10mL)||4 tablets||2 tablets||1 tablet
60-71||NA||2.5 tsp(12.5mL)||5 tablets||2.5 tablets||1.25 tablets
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:
<!--img src="/img/elements/common/classement/2.png" alt="" /--> 13 Echo Of Silence
<!--img src="/img/elements/common/classement/3.png" alt="" /--> 6 Don Salsa
<!--img src="/img/elements/common/classement/4.png" alt="" /--> 7 Irish Kaldoun
<!--img src="/img/elements/common/classement/5.png" alt="" /--> 11 Highdar
<!--img src="/img/elements/common/classement/6.png" alt="" /--> 10 Eternal Gift
<!--img src="/img/elements/common/classement/7.png" alt="" /--> 14 Jaspe Ocean (Ire)



TEGRA_table_txt_file: table_2555.txt
TEGRA_TABLE_TEXT: <!--img src="/img/elements/common/classement/2.png" alt="" /--> 13 Echo Of Silence
<!--img src="/img/elements/common/classement/3.png" alt="" /--> 6 Don Salsa
<!--img src="/img/elements/common/classement/4.png" alt="" /--> 7 Irish Kaldoun
<!--img src="/img/elements/common/classement/5.png" alt="" /--> 11 Highdar
<!--img src="/img/elements/common/classement/6.png" alt="" /--> 10 Eternal Gift
<!--img src="/img/elements/common/classement/7.png" alt="" /--> 14 Jaspe Ocean (Ire)
label: <!--img src="/img/elements/common/classement/2.png" alt="" /-->||13||Echo Of Silence
<!--img src="/img/elements/common/classement/3.png" alt="" /-->||6||Don Salsa
<!--img src="/img/elements/common/classement/4.png" alt="" /-->||7||Irish Kaldoun
<!--img src="/img/elements/common/classement/5.png" alt="" /-->||11||Highdar
<!--img src="/img/elements/common/classement/6.png" alt="" /-->||10||Eternal Gift
<!--img src="/img/elements/common/classement/7.png" alt="" /-->||14||Jaspe Ocean (Ire)
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:
M Carpenter 3B 4 0 1 2 0 0 0 0 0 1 1 1 0 .312 .383 .476
C Beltran RF 5 0 0 0 0 0 0 0 0 0 0 0 5 .300 .337 .507
M Holliday LF 5 0 0 0 0 0 0 0 0 0 0 0 0 .285 .369 .455
A Craig 1B 3 1 1 0 0 0 0 0 0 1 2 1 0 .310 .367 .448
Y Molina C 5 2 2 0 2 0 0 0 0 4 0 0 2 .328 .371 .488
J Jay CF 3 2 2 4 1 0 1 0 0 6 1 0 1 .273 .345 .376
K Wong 2B 4 1 0 0 0 0 0 0 0 0 0 0 2 .000 .000 .000
D Descalso SS 3 0 1 0 1 0 0 0 0 2 1 2 0 .255 .310 .403
A Wainwright P 3 0 1 0 0 0 0 0 0 1 0 0 4 .145 .145 .164
S Robinson PH 1 0 0 0 0 0 0 0 0 0 0 0 0 .256 .379 .366
K Siegrist P 0 0 0 0 0 0 0 0 0 0 0 0 0 .000 .000 .000
T Rosenthal P 0 0 0 0 0 0 0 0 0 0 0 0 0 .000 .000 .000



TEGRA_table_txt_file: table_362.txt
TEGRA_TABLE_TEXT: M Carpenter 3B 4 0 1 2 0 0 0 0 0 1 1 1 0 .312 .383 .476
C Beltran RF 5 0 0 0 0 0 0 0 0 0 0 0 5 .300 .337 .507
M Holliday LF 5 0 0 0 0 0 0 0 0 0 0 0 0 .285 .369 .455
A Craig 1B 3 1 1 0 0 0 0 0 0 1 2 1 0 .310 .367 .448
Y Molina C 5 2 2 0 2 0 0 0 0 4 0 0 2 .328 .371 .488
J Jay CF 3 2 2 4 1 0 1 0 0 6 1 0 1 .273 .345 .376
K Wong 2B 4 1 0 0 0 0 0 0 0 0 0 0 2 .000 .000 .000
D Descalso SS 3 0 1 0 1 0 0 0 0 2 1 2 0 .255 .310 .403
A Wainwright P 3 0 1 0 0 0 0 0 0 1 0 0 4 .145 .145 .164
S Robinson PH 1 0 0 0 0 0 0 0 0 0 0 0 0 .256 .379 .366
K Siegrist P 0 0 0 0 0 0 0 0 0 0 0 0 0 .000 .000 .000
T Rosenthal P 0 0 0 0 0 0 0 0 0 0 0 0 0 .000 .000 .000
label: M Carpenter 3B||4||0||1||2||0||0||0||0||0||1||1||1||0||.312||.383||.476
C Beltran RF||5||0||0||0||0||0||0||0||0||0||0||0||5||.300||.337||.507
M Holliday LF||5||0||0||0||0||0||0||0||0||0||0||0||0||.285||.369||.455
A Craig 1B||3||1||1||0||0||0||0||0||0||1||2||1||0||.310||.367||.448
Y Molina C||5||2||2||0||2||0||0||0||0||4||0||0||2||.328||.371||.488
J Jay CF||3||2||2||4||1||0||1||0||0||6||1||0||1||.273||.345||.376
K Wong 2B||4||1||0||0||0||0||0||0||0||0||0||0||2||.000||.000||.000
D Descalso SS||3||0||1||0||1||0||0||0||0||2||1||2||0||.255||.310||.403
A Wainwright P||3||0||1||0||0||0||0||0||0||1||0||0||4||.145||.145||.164
S Robinson PH||1||0||0||0||0||0||0||0||0||0||0||0||0||.256||.379||.366
K Siegrist P||0||0||0||0||0||0||0||0||0||0||0||0||0||.000||.000||.000
T Rosenthal P||0||0||0||0||0||0||0||0||0||0||0||0||0||.000||.000||.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:
2 Peterborough 6 5 1 0 16 4 16
3 Walsall 7 4 2 1 10 4 14
4 Wolverhampton 5 4 1 0 9 2 13
5 Brentford 7 3 2 2 11 12 11
6 Preston 6 3 2 1 10 7 11
7 Rotherham 6 3 2 1 10 8 11
8 Carlisle 7 2 3 2 7 9 9
9 Port Vale 7 3 0 4 9 9 9
10 Bradford 7 2 3 2 9 8 9
11 Coventry 6 2 2 2 11 8 8
12 Tranmere 7 2 1 4 5 9 7
13 Colchester 7 1 4 2 7 10 7
14 Stevenage 7 2 1 4 6 10 7
15 Crawley 5 1 3 1 8 7 6
16 Milton Keynes Dons 6 1 2 3 7 9 5
17 Crewe 6 1 1 4 3 13 4
18 Gillingham 6 1 1 4 8 13 4
19 Swindon 6 1 1 4 8 9 4
20 Oldham 6 1 0 5 8 13 3
21 Shrewsbury 6 0 3 3 5 10 3
22 Bristol C. 6 0 3 3 10 13 3
23 Sheffield U 7 0 1 6 4 14 1



TEGRA_table_txt_file: table_6984.txt
TEGRA_TABLE_TEXT: 2 Peterborough 6 5 1 0 16 4 16
3 Walsall 7 4 2 1 10 4 14
4 Wolverhampton 5 4 1 0 9 2 13
5 Brentford 7 3 2 2 11 12 11
6 Preston 6 3 2 1 10 7 11
7 Rotherham 6 3 2 1 10 8 11
8 Carlisle 7 2 3 2 7 9 9
9 Port Vale 7 3 0 4 9 9 9
10 Bradford 7 2 3 2 9 8 9
11 Coventry 6 2 2 2 11 8 8
12 Tranmere 7 2 1 4 5 9 7
13 Colchester 7 1 4 2 7 10 7
14 Stevenage 7 2 1 4 6 10 7
15 Crawley 5 1 3 1 8 7 6
16 Milton Keynes Dons 6 1 2 3 7 9 5
17 Crewe 6 1 1 4 3 13 4
18 Gillingham 6 1 1 4 8 13 4
19 Swindon 6 1 1 4 8 9 4
20 Oldham 6 1 0 5 8 13 3
21 Shrewsbury 6 0 3 3 5 10 3
22 Bristol C. 6 0 3 3 10 13 3
23 Sheffield U 7 0 1 6 4 14 1
label: 2||Peterborough||6||5||1||0||16||4||16
3||Walsall||7||4||2||1||10||4||14
4||Wolverhampton||5||4||1||0||9||2||13
5||Brentford||7||3||2||2||11||12||11
6||Preston||6||3||2||1||10||7||11
7||Rotherham||6||3||2||1||10||8||11
8||Carlisle||7||2||3||2||7||9||9
9||Port Vale||7||3||0||4||9||9||9
10||Bradford||7||2||3||2||9||8||9
11||Coventry||6||2||2||2||11||8||8
12||Tranmere||7||2||1||4||5||9||7
13||Colchester||7||1||4||2||7||10||7
14||Stevenage||7||2||1||4||6||10||7
15||Crawley||5||1||3||1||8||7||6
16||Milton Keynes Dons||6||1||2||3||7||9||5
17||Crewe||6||1||1||4||3||13||4
18||Gillingham||6||1||1||4||8||13||4
19||Swindon||6||1||1||4||8||9||4
20||Oldham||6||1||0||5||8||13||3
21||Shrewsbury||6||0||3||3||5||10||3
22||Bristol C.||6||0||3||3||10||13||3
23||Sheffield U||7||0||1||6||4||14||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 SSC Napoli 8 19
3 Juventus 8 19
4 Verona 8 16
5 Inter 8 15
6 Fiorentina 8 15
7 Atalanta 8 12
8 AC Milan 8 11
9 Lazio 8 11
10 Torino 8 10
11 Udinese 8 10
12 Cagliari 8 10
13 Parma 8 9
14 Livorno 8 8
15 Genoa 8 8
16 Sampdoria 8 6
17 Catania 8 5
18 Sassuolo 8 5
19 Chievo 8 4



TEGRA_table_txt_file: table_6980.txt
TEGRA_TABLE_TEXT: 2 SSC Napoli 8 19
3 Juventus 8 19
4 Verona 8 16
5 Inter 8 15
6 Fiorentina 8 15
7 Atalanta 8 12
8 AC Milan 8 11
9 Lazio 8 11
10 Torino 8 10
11 Udinese 8 10
12 Cagliari 8 10
13 Parma 8 9
14 Livorno 8 8
15 Genoa 8 8
16 Sampdoria 8 6
17 Catania 8 5
18 Sassuolo 8 5
19 Chievo 8 4
label: 2||SSC Napoli||8||19
3||Juventus||8||19
4||Verona||8||16
5||Inter||8||15
6||Fiorentina||8||15
7||Atalanta||8||12
8||AC Milan||8||11
9||Lazio||8||11
10||Torino||8||10
11||Udinese||8||10
12||Cagliari||8||10
13||Parma||8||9
14||Livorno||8||8
15||Genoa||8||8
16||Sampdoria||8||6
17||Catania||8||5
18||Sassuolo||8||5
19||Chievo||8||4
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
Thanksgiving Day Thursday 11/28/2013 10:00pm - 12:00am
Day After Thanksgiving Friday 11/29/2013 12:00am - 9:00pm
Thanksgiving Weekend Saturday 11/30/2013 9:00am - 9:00pm
Thanksgiving Weekend Sunday 12/01/2013 10:00am - 7:00pm
Christmas Eve Tuesday 12/24/2013 9:00am - 6:00pm
Christmas Day Wednesday 12/25/2013 Closed - Closed
New Year's Eve Tuesday 12/31/2013 9:00am - 6:00pm



TEGRA_table_txt_file: table_4723.txt
TEGRA_TABLE_TEXT: Thanksgiving Day Thursday 11/28/2013 10:00pm - 12:00am
Day After Thanksgiving Friday 11/29/2013 12:00am - 9:00pm
Thanksgiving Weekend Saturday 11/30/2013 9:00am - 9:00pm
Thanksgiving Weekend Sunday 12/01/2013 10:00am - 7:00pm
Christmas Eve Tuesday 12/24/2013 9:00am - 6:00pm
Christmas Day Wednesday 12/25/2013 Closed - Closed
New Year's Eve Tuesday 12/31/2013 9:00am - 6:00pm
label: Thanksgiving Day||Thursday||11/28/2013||10:00pm - 12:00am
Day After Thanksgiving||Friday||11/29/2013||12:00am - 9:00pm
Thanksgiving Weekend||Saturday||11/30/2013||9:00am - 9:00pm
Thanksgiving Weekend||Sunday||12/01/2013||10:00am - 7:00pm
Christmas Eve||Tuesday||12/24/2013||9:00am - 6:00pm
Christmas Day||Wednesday||12/25/2013||Closed - Closed
New Year's Eve||Tuesday||12/31/2013||9:00am - 6:00pm
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:
Roque Santa Cruz Málaga CF 2 5 283' 0 0
Richard Ortiz Olimpia Toluca 2 8 593' 3 0
Cristian Riveros Kayserispor Grêmio 2 12 1047' 2 0
Gustavo Gómez Libertad 1 1 90' 0 0
Luis Caballero Sovetov Samara 1 8 250' 1 0
Pablo Aguilar Tijuana 1 4 360' 2 0
Edgar Benítez Toluca 1 8 392' 1 0



TEGRA_table_txt_file: table_8836.txt
TEGRA_TABLE_TEXT: Roque Santa Cruz Málaga CF 2 5 283' 0 0
Richard Ortiz Olimpia Toluca 2 8 593' 3 0
Cristian Riveros Kayserispor Grêmio 2 12 1047' 2 0
Gustavo Gómez Libertad 1 1 90' 0 0
Luis Caballero Sovetov Samara 1 8 250' 1 0
Pablo Aguilar Tijuana 1 4 360' 2 0
Edgar Benítez Toluca 1 8 392' 1 0
label: Roque Santa Cruz||Málaga CF||2||5||283'||0||0
Richard Ortiz||Olimpia Toluca||2||8||593'||3||0
Cristian Riveros||Kayserispor Grêmio||2||12||1047'||2||0
Gustavo Gómez||Libertad||1||1||90'||0||0
Luis Caballero||Sovetov Samara||1||8||250'||1||0
Pablo Aguilar||Tijuana||1||4||360'||2||0
Edgar Benítez||Toluca||1||8||392'||1||0
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
2 Napoli 8 19
3 Juventus 8 19
4 Verona 8 16
5 Inter 8 15
6 Fiorentina 8 15
7 Atalanta 8 12
8 Milan 8 11
9 Lazio 8 11



TEGRA_table_txt_file: table_2676.txt
TEGRA_TABLE_TEXT: 2 Napoli 8 19
3 Juventus 8 19
4 Verona 8 16
5 Inter 8 15
6 Fiorentina 8 15
7 Atalanta 8 12
8 Milan 8 11
9 Lazio 8 11
label: 2||Napoli||8||19
3||Juventus||8||19
4||Verona||8||16
5||Inter||8||15
6||Fiorentina||8||15
7||Atalanta||8||12
8||Milan||8||11
9||Lazio||8||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:
400 m 49,79 28.7.2010 Barcelona
1 500 m 4.48,97 17.7.2002 Kingston
110 m aidat 14,82 8.7.2007 Szczecin
Korkeushyppy 193 21.8.2008 Peking
Seiväshyppy 480 1.9.2002 Raahe
Pituushyppy 725 14.8.2009 Asikkala
Kuulantyöntö 15,08 6.6.2009 Rakvere
Kiekonheitto 52,84 7.7.2010 Lahti



TEGRA_table_txt_file: table_1.txt
TEGRA_TABLE_TEXT: 400 m 49,79 28.7.2010 Barcelona
1 500 m 4.48,97 17.7.2002 Kingston
110 m aidat 14,82 8.7.2007 Szczecin
Korkeushyppy 193 21.8.2008 Peking
Seiväshyppy 480 1.9.2002 Raahe
Pituushyppy 725 14.8.2009 Asikkala
Kuulantyöntö 15,08 6.6.2009 Rakvere
Kiekonheitto 52,84 7.7.2010 Lahti
label: 400 m||49,79||28.7.2010 Barcelona
1 500 m||4.48,97||17.7.2002 Kingston
110 m aidat||14,82||8.7.2007 Szczecin
Korkeushyppy||193||21.8.2008 Peking
Seiväshyppy||480||1.9.2002 Raahe
Pituushyppy||725||14.8.2009 Asikkala
Kuulantyöntö||15,08||6.6.2009 Rakvere
Kiekonheitto||52,84||7.7.2010 Lahti
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:
9 10/31/13 CIN 8:25 pm
10 11/11/13 @ TB 8:40 pm
11 11/17/13 SD 1:00 pm
12 11/24/13 CAR 1:00 pm
13 12/1/13 @ NYJ 1:00 pm
14 12/8/13 @ PIT 1:00 pm
15 12/15/13 NE 1:00 pm
16 12/22/13 @ BUF 1:00 pm



TEGRA_table_txt_file: table_1487.txt
TEGRA_TABLE_TEXT: 9 10/31/13 CIN 8:25 pm
10 11/11/13 @ TB 8:40 pm
11 11/17/13 SD 1:00 pm
12 11/24/13 CAR 1:00 pm
13 12/1/13 @ NYJ 1:00 pm
14 12/8/13 @ PIT 1:00 pm
15 12/15/13 NE 1:00 pm
16 12/22/13 @ BUF 1:00 pm
label: 9||10/31/13||CIN||8:25 pm
10||11/11/13||@ TB||8:40 pm
11||11/17/13||SD||1:00 pm
12||11/24/13||CAR||1:00 pm
13||12/1/13||@ NYJ||1:00 pm
14||12/8/13||@ PIT||1:00 pm
15||12/15/13||NE||1:00 pm
16||12/22/13||@ BUF||1:00 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:
udp://tracker.1337x.org:80/announce outdated 05 Dec 2012 - - -
udp://tracker.publicbt.com:80/announce outdated 05 Dec 2012 - - -
udp://tracker.istole.it:80/announce outdated 05 Dec 2012 - - -
http://tracker.ex.ua/announce outdated 05 Dec 2012 - - -
udp://tracker.openbittorrent.com:80/announce outdated 05 Dec 2012 - - -
http://exodus.desync.com:6969/announce blocked 05 Dec 2012 - - -
udp://fr33domtracker.h33t.com:3310/announce deleted 05 Dec 2012 - - -
udp://9.rarbg.me:2710/announce pending 05 Dec 2012 75 73 545



TEGRA_table_txt_file: table_4115.txt
TEGRA_TABLE_TEXT: udp://tracker.1337x.org:80/announce outdated 05 Dec 2012 - - -
udp://tracker.publicbt.com:80/announce outdated 05 Dec 2012 - - -
udp://tracker.istole.it:80/announce outdated 05 Dec 2012 - - -
http://tracker.ex.ua/announce outdated 05 Dec 2012 - - -
udp://tracker.openbittorrent.com:80/announce outdated 05 Dec 2012 - - -
http://exodus.desync.com:6969/announce blocked 05 Dec 2012 - - -
udp://fr33domtracker.h33t.com:3310/announce deleted 05 Dec 2012 - - -
udp://9.rarbg.me:2710/announce pending 05 Dec 2012 75 73 545
label: udp://tracker.1337x.org:80/announce||outdated||05 Dec 2012||-||-||-
udp://tracker.publicbt.com:80/announce||outdated||05 Dec 2012||-||-||-
udp://tracker.istole.it:80/announce||outdated||05 Dec 2012||-||-||-
http://tracker.ex.ua/announce||outdated||05 Dec 2012||-||-||-
udp://tracker.openbittorrent.com:80/announce||outdated||05 Dec 2012||-||-||-
http://exodus.desync.com:6969/announce||blocked||05 Dec 2012||-||-||-
udp://fr33domtracker.h33t.com:3310/announce||deleted||05 Dec 2012||-||-||-
udp://9.rarbg.me:2710/announce||pending||05 Dec 2012||75||73||545
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 Rock of Cashel 58,0kg Frau M.Haller(R.Dzubasz) T.Durcan 66
3 Baraka 56,0kg K.Allofs u.Stiftung Gestüt Fährhof(P.Schiergen) A.Starke 53
4 Daring Match 58,0kg Gestüt Auenquelle(J.Hirschberger) K.Clijmans 51
5 Prince Paul 58,0kg Dr.K.Würtenberger(H.-J.Gröschel) A.Pietsch 129
6 Cioccomimi 56,0kg Stall Blankenese(Andr.Wöhler) E.Pedroza 51
7 Sang Spirit 58,0kg Rennstall BRB(Chr.Sprengel) F.Minarik 178



TEGRA_table_txt_file: table_3269.txt
TEGRA_TABLE_TEXT: 2 Rock of Cashel 58,0kg Frau M.Haller(R.Dzubasz) T.Durcan 66
3 Baraka 56,0kg K.Allofs u.Stiftung Gestüt Fährhof(P.Schiergen) A.Starke 53
4 Daring Match 58,0kg Gestüt Auenquelle(J.Hirschberger) K.Clijmans 51
5 Prince Paul 58,0kg Dr.K.Würtenberger(H.-J.Gröschel) A.Pietsch 129
6 Cioccomimi 56,0kg Stall Blankenese(Andr.Wöhler) E.Pedroza 51
7 Sang Spirit 58,0kg Rennstall BRB(Chr.Sprengel) F.Minarik 178
label: 2||Rock of Cashel||58,0kg||Frau M.Haller(R.Dzubasz)||T.Durcan||66
3||Baraka||56,0kg||K.Allofs u.Stiftung Gestüt Fährhof(P.Schiergen)||A.Starke||53
4||Daring Match||58,0kg||Gestüt Auenquelle(J.Hirschberger)||K.Clijmans||51
5||Prince Paul||58,0kg||Dr.K.Würtenberger(H.-J.Gröschel)||A.Pietsch||129
6||Cioccomimi||56,0kg||Stall Blankenese(Andr.Wöhler)||E.Pedroza||51
7||Sang Spirit||58,0kg||Rennstall BRB(Chr.Sprengel)||F.Minarik||178
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:
Chambre 2 Rez-de-chaussée 9.6x7 pi (2.93x2.13 m) Bois franc
Cuisine Rez-de-chaussée 13x11 pi (3.96x3.35 m) Bois franc
Salle &agrave; manger Rez-de-chaussée 13x10 pi (3.96x3.05 m) Bois franc
Salle de bain Rez-de-chaussée 11.6x10 pi (3.54x3.05 m) Bois franc
Salon Rez-de-chaussée 14x12 pi (4.27x3.66 m) Bois franc
Walk-in Rez-de-chaussée 9x6.6 pi (2.74x2.01 m) Bois franc
Atelier Sous-sol 15x15 pi (4.57x4.57 m) Béton
Chambre 3 Sous-sol 15.6x12 pi (4.75x3.66 m) Bois flottant
Chambre 4 Sous-sol 10.6x13 pi (3.23x3.96 m) Bois flottant
Espace de rangement Sous-sol 8x6 pi (2.44x1.83 m) Bois flottant
Salle de bain Sous-sol 7.6x7.6 pi (2.32x2.32 m) Bois flottant



TEGRA_table_txt_file: table_7973.txt
TEGRA_TABLE_TEXT: Chambre 2 Rez-de-chaussée 9.6x7 pi (2.93x2.13 m) Bois franc
Cuisine Rez-de-chaussée 13x11 pi (3.96x3.35 m) Bois franc
Salle &agrave; manger Rez-de-chaussée 13x10 pi (3.96x3.05 m) Bois franc
Salle de bain Rez-de-chaussée 11.6x10 pi (3.54x3.05 m) Bois franc
Salon Rez-de-chaussée 14x12 pi (4.27x3.66 m) Bois franc
Walk-in Rez-de-chaussée 9x6.6 pi (2.74x2.01 m) Bois franc
Atelier Sous-sol 15x15 pi (4.57x4.57 m) Béton
Chambre 3 Sous-sol 15.6x12 pi (4.75x3.66 m) Bois flottant
Chambre 4 Sous-sol 10.6x13 pi (3.23x3.96 m) Bois flottant
Espace de rangement Sous-sol 8x6 pi (2.44x1.83 m) Bois flottant
Salle de bain Sous-sol 7.6x7.6 pi (2.32x2.32 m) Bois flottant
label: Chambre 2||Rez-de-chaussée||9.6x7 pi (2.93x2.13 m)||Bois franc
Cuisine||Rez-de-chaussée||13x11 pi (3.96x3.35 m)||Bois franc
Salle &agrave; manger||Rez-de-chaussée||13x10 pi (3.96x3.05 m)||Bois franc
Salle de bain||Rez-de-chaussée||11.6x10 pi (3.54x3.05 m)||Bois franc
Salon||Rez-de-chaussée||14x12 pi (4.27x3.66 m)||Bois franc
Walk-in||Rez-de-chaussée||9x6.6 pi (2.74x2.01 m)||Bois franc
Atelier||Sous-sol||15x15 pi (4.57x4.57 m)||Béton
Chambre 3||Sous-sol||15.6x12 pi (4.75x3.66 m)||Bois flottant
Chambre 4||Sous-sol||10.6x13 pi (3.23x3.96 m)||Bois flottant
Espace de rangement||Sous-sol||8x6 pi (2.44x1.83 m)||Bois flottant
Salle de bain||Sous-sol||7.6x7.6 pi (2.32x2.32 m)||Bois flottant
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:
For HP Color LaserJet 2605 Fuser Assembly 220V (Original) RM1-1829-000
For HP Color LaserJet 2605DN Fuser Assembly 110V (Original) RM1-1824-000
For HP Color LaserJet 2605DN Fuser Assembly 220V (Original) RM1-1825-000
For HP Color LaserJet 2605DN Transfer Belt(ETB) Assy (Original) RM1-1892-020
For HP Color LaserJet 2605DN Fixing Film Assembly 110V (Original) RM1-1826-000
For HP Color LaserJet 2605DN Fixing Film Assembly 220V (Original) RM1-1827-000
For HP Color LaserJet 2605DN Lower Sleeved Roller (Original) no
For HP Color LaserJet 2605DN Paper Pickup Assembly (Original) RM1-1923-000



TEGRA_table_txt_file: table_3719.txt
TEGRA_TABLE_TEXT: For HP Color LaserJet 2605 Fuser Assembly 220V (Original) RM1-1829-000
For HP Color LaserJet 2605DN Fuser Assembly 110V (Original) RM1-1824-000
For HP Color LaserJet 2605DN Fuser Assembly 220V (Original) RM1-1825-000
For HP Color LaserJet 2605DN Transfer Belt(ETB) Assy (Original) RM1-1892-020
For HP Color LaserJet 2605DN Fixing Film Assembly 110V (Original) RM1-1826-000
For HP Color LaserJet 2605DN Fixing Film Assembly 220V (Original) RM1-1827-000
For HP Color LaserJet 2605DN Lower Sleeved Roller (Original) no
For HP Color LaserJet 2605DN Paper Pickup Assembly (Original) RM1-1923-000
label: For||HP Color LaserJet 2605||Fuser Assembly 220V (Original)||RM1-1829-000
For||HP Color LaserJet 2605DN||Fuser Assembly 110V (Original)||RM1-1824-000
For||HP Color LaserJet 2605DN||Fuser Assembly 220V (Original)||RM1-1825-000
For||HP Color LaserJet 2605DN||Transfer Belt(ETB) Assy (Original)||RM1-1892-020
For||HP Color LaserJet 2605DN||Fixing Film Assembly 110V (Original)||RM1-1826-000
For||HP Color LaserJet 2605DN||Fixing Film Assembly 220V (Original)||RM1-1827-000
For||HP Color LaserJet 2605DN||Lower Sleeved Roller (Original)||no
For||HP Color LaserJet 2605DN||Paper Pickup Assembly (Original)||RM1-1923-000
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:
Power Supply AC - - - 120V
Bulbs (qty.) 0 1 1 1 -
Extra Bulb - - - 1 -
Watts 32 100 65 500 36
Power Cord (ft.) 5 - - 6 -
Power Switch - - - Yes No



TEGRA_table_txt_file: table_9562.txt
TEGRA_TABLE_TEXT: Power Supply AC - - - 120V
Bulbs (qty.) 0 1 1 1 -
Extra Bulb - - - 1 -
Watts 32 100 65 500 36
Power Cord (ft.) 5 - - 6 -
Power Switch - - - Yes No
label: Power Supply||AC||-||-||-||120V
Bulbs (qty.)||0||1||1||1||-
Extra Bulb||-||-||-||1||-
Watts||32||100||65||500||36
Power Cord (ft.)||5||-||-||6||-
Power Switch||-||-||-||Yes||No
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:
Mr BADY Mr DUJARDIN Mr LECLERE
Mr DESCHAMPS Mr GILLARD Mr MATHIEU
Mr UYTEBROECK Mr DEJARDIN Mr HANNING
Mr RENWART Mr CHAPELLE Mr WASSEIGE
Mr DEMBLON Mr MARTIN Mr DEFRERIE
Mr COLLARD Mr MATHAS Mr RIGA
Mr ROLLAND Mr COCKAIKO Mr FAGNOUL
Mr GODEFROID Mr GAUTHIER Mr DEMARTEAU
Mr PETIT Mr NOEL Mr BONFOND
Mr MARTIN Mr COLIN Mr DECHENE
Mr BRISBOIS Mr SILVESTRE Mr LECERF
Mr BLOEM idem Mr CORBAYE
Mr DUNNEBEIL idem Mr LECERF
Mr SCION idem Mr FRANCOTTE
Mr FINOCCHIO idem Mr BURON
idem idem Mr CHANDELLE
idem idem Mr BATTAGLIA
idem idem Mr DERWA
idem idem Mr HUET
idem idem Mr EYMAEL
idem idem Mr MICELI



TEGRA_table_txt_file: table_6961.txt
TEGRA_TABLE_TEXT: Mr BADY Mr DUJARDIN Mr LECLERE
Mr DESCHAMPS Mr GILLARD Mr MATHIEU
Mr UYTEBROECK Mr DEJARDIN Mr HANNING
Mr RENWART Mr CHAPELLE Mr WASSEIGE
Mr DEMBLON Mr MARTIN Mr DEFRERIE
Mr COLLARD Mr MATHAS Mr RIGA
Mr ROLLAND Mr COCKAIKO Mr FAGNOUL
Mr GODEFROID Mr GAUTHIER Mr DEMARTEAU
Mr PETIT Mr NOEL Mr BONFOND
Mr MARTIN Mr COLIN Mr DECHENE
Mr BRISBOIS Mr SILVESTRE Mr LECERF
Mr BLOEM idem Mr CORBAYE
Mr DUNNEBEIL idem Mr LECERF
Mr SCION idem Mr FRANCOTTE
Mr FINOCCHIO idem Mr BURON
idem idem Mr CHANDELLE
idem idem Mr BATTAGLIA
idem idem Mr DERWA
idem idem Mr HUET
idem idem Mr EYMAEL
idem idem Mr MICELI
label: Mr BADY||Mr DUJARDIN||Mr LECLERE
Mr DESCHAMPS||Mr GILLARD||Mr MATHIEU
Mr UYTEBROECK||Mr DEJARDIN||Mr HANNING
Mr RENWART||Mr CHAPELLE||Mr WASSEIGE
Mr DEMBLON||Mr MARTIN||Mr DEFRERIE
Mr COLLARD||Mr MATHAS||Mr RIGA
Mr ROLLAND||Mr COCKAIKO||Mr FAGNOUL
Mr GODEFROID||Mr GAUTHIER||Mr DEMARTEAU
Mr PETIT||Mr NOEL||Mr BONFOND
Mr MARTIN||Mr COLIN||Mr DECHENE
Mr BRISBOIS||Mr SILVESTRE||Mr LECERF
Mr BLOEM||idem||Mr CORBAYE
Mr DUNNEBEIL||idem||Mr LECERF
Mr SCION||idem||Mr FRANCOTTE
Mr FINOCCHIO||idem||Mr BURON
idem||idem||Mr CHANDELLE
idem||idem||Mr BATTAGLIA
idem||idem||Mr DERWA
idem||idem||Mr HUET
idem||idem||Mr EYMAEL
idem||idem||Mr MICELI
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
Microsoft.Data.datafeedclient.dll 10.50.2772.0 108,384 10 De agosto de 2011 21:47 x86
Msmdlocal.dll 10.50.2772.0 28,068,192 10 De agosto de 2011 21:42 x86
Msmdpump 10.50.2772.0 6,328,672 10 De agosto de 2011 21:42 x86
Msmdredir.dll 10.50.2772.0 6,325,600 10 De agosto de 2011 21:42 x86
Msmdspdm.dll 10.50.2772.0 178,016 10 De agosto de 2011 21:41 x86
Msmdsrv.exe 10.50.2772.0 25,828,192 10 De agosto de 2011 21:47 x86
Msmgdsrv.dll 10.50.2772.0 8,670,048 10 De agosto de 2011 21:42 x86
Msolap100.dll 10.50.2772.0 6,670,176 10 De agosto de 2011 21:42 x86
Msolui100.dll 10.50.2772.0 272,736 10 De agosto de 2011 21:42 x86
Sql_as_keyfile.dll 2009.100.2772.0 13,664 10 De agosto de 2011 21:42 x86



TEGRA_table_txt_file: table_5628.txt
TEGRA_TABLE_TEXT: Microsoft.Data.datafeedclient.dll 10.50.2772.0 108,384 10 De agosto de 2011 21:47 x86
Msmdlocal.dll 10.50.2772.0 28,068,192 10 De agosto de 2011 21:42 x86
Msmdpump 10.50.2772.0 6,328,672 10 De agosto de 2011 21:42 x86
Msmdredir.dll 10.50.2772.0 6,325,600 10 De agosto de 2011 21:42 x86
Msmdspdm.dll 10.50.2772.0 178,016 10 De agosto de 2011 21:41 x86
Msmdsrv.exe 10.50.2772.0 25,828,192 10 De agosto de 2011 21:47 x86
Msmgdsrv.dll 10.50.2772.0 8,670,048 10 De agosto de 2011 21:42 x86
Msolap100.dll 10.50.2772.0 6,670,176 10 De agosto de 2011 21:42 x86
Msolui100.dll 10.50.2772.0 272,736 10 De agosto de 2011 21:42 x86
Sql_as_keyfile.dll 2009.100.2772.0 13,664 10 De agosto de 2011 21:42 x86
label: Microsoft.Data.datafeedclient.dll||10.50.2772.0||108,384||10 De agosto de 2011||21:47||x86
Msmdlocal.dll||10.50.2772.0||28,068,192||10 De agosto de 2011||21:42||x86
Msmdpump||10.50.2772.0||6,328,672||10 De agosto de 2011||21:42||x86
Msmdredir.dll||10.50.2772.0||6,325,600||10 De agosto de 2011||21:42||x86
Msmdspdm.dll||10.50.2772.0||178,016||10 De agosto de 2011||21:41||x86
Msmdsrv.exe||10.50.2772.0||25,828,192||10 De agosto de 2011||21:47||x86
Msmgdsrv.dll||10.50.2772.0||8,670,048||10 De agosto de 2011||21:42||x86
Msolap100.dll||10.50.2772.0||6,670,176||10 De agosto de 2011||21:42||x86
Msolui100.dll||10.50.2772.0||272,736||10 De agosto de 2011||21:42||x86
Sql_as_keyfile.dll||2009.100.2772.0||13,664||10 De agosto de 2011||21:42||x86
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
William Herzig Joan Long 28 Mar 2000 9:25PM GMT
Family tree Rebecca Herzig 2 Apr 2000 9:23AM GMT
Family tree Joan Long 2 Apr 2000 9:26AM GMT
Herzig Family Tree Rebecca Herzig 29 Mar 2000 3:24PM GMT
Herzig Family Tree Rebecca Herzig 2 Apr 2000 9:21AM GMT
Leopold Herzig Rebecca 3 Apr 2000 4:04PM GMT
Leopold Herzig Rebecca 3 Apr 2000 4:26PM GMT
Jewish Herzigs Pamela Pyle 25 Jul 2001 11:38PM GMT



TEGRA_table_txt_file: table_7363.txt
TEGRA_TABLE_TEXT: William Herzig Joan Long 28 Mar 2000 9:25PM GMT
Family tree Rebecca Herzig 2 Apr 2000 9:23AM GMT
Family tree Joan Long 2 Apr 2000 9:26AM GMT
Herzig Family Tree Rebecca Herzig 29 Mar 2000 3:24PM GMT
Herzig Family Tree Rebecca Herzig 2 Apr 2000 9:21AM GMT
Leopold Herzig Rebecca 3 Apr 2000 4:04PM GMT
Leopold Herzig Rebecca 3 Apr 2000 4:26PM GMT
Jewish Herzigs Pamela Pyle 25 Jul 2001 11:38PM GMT
label: William Herzig||Joan Long||28 Mar 2000 9:25PM GMT
Family tree||Rebecca Herzig||2 Apr 2000 9:23AM GMT
Family tree||Joan Long||2 Apr 2000 9:26AM GMT
Herzig Family Tree||Rebecca Herzig||29 Mar 2000 3:24PM GMT
Herzig Family Tree||Rebecca Herzig||2 Apr 2000 9:21AM GMT
Leopold Herzig||Rebecca||3 Apr 2000 4:04PM GMT
Leopold Herzig||Rebecca||3 Apr 2000 4:26PM GMT
Jewish Herzigs||Pamela Pyle||25 Jul 2001 11:38PM GMT
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:
5/12 CIF-SS Prelims Carpinteria HS 4 10 1 1
4/27 Ventura County Championships Moorpark HS 10 15 9 11
4/14 Russel Cup Carpinteria HS 27 42 17 18
4/4 Oaks Christian Oak Christian HS 60 138 60 67
3/31 Spartan Relays Rio Mesa High    
3/29 Nordoff Nordoff High    
3/24 SBCC Easter Relays SBCC 6 6 5 6
3/21 Carpinteria Carpinteria High School 32 77 22 26
3/10 Ventura Invite Ventura High School 40 57 29 34



TEGRA_table_txt_file: table_2232.txt
TEGRA_TABLE_TEXT: 5/12 CIF-SS Prelims Carpinteria HS 4 10 1 1
4/27 Ventura County Championships Moorpark HS 10 15 9 11
4/14 Russel Cup Carpinteria HS 27 42 17 18
4/4 Oaks Christian Oak Christian HS 60 138 60 67
3/31 Spartan Relays Rio Mesa High    
3/29 Nordoff Nordoff High    
3/24 SBCC Easter Relays SBCC 6 6 5 6
3/21 Carpinteria Carpinteria High School 32 77 22 26
3/10 Ventura Invite Ventura High School 40 57 29 34
label: 5/12||CIF-SS Prelims||Carpinteria HS||4||10||1||1
4/27||Ventura County Championships||Moorpark HS||10||15||9||11
4/14||Russel Cup||Carpinteria HS||27||42||17||18
4/4||Oaks Christian||Oak Christian HS||60||138||60||67
3/31||Spartan Relays||Rio Mesa High||||||||
3/29||Nordoff||Nordoff High||||||||
3/24||SBCC Easter Relays||SBCC||6||6||5||6
3/21||Carpinteria||Carpinteria High School||32||77||22||26
3/10||Ventura Invite||Ventura High School||40||57||29||34
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.) Bor. Dortmund 1 4:0 3
3. (1.) Bay. Leverkusen 1 3:1 3
3. (1.) FC Bayern 1 3:1 3
5. (1.) Hannover 96 1 2:0 3
6. (1.) 1. FSV Mainz 05 1 3:2 3
7. (1.) Werder Bremen 1 1:0 3
8. (1.) FC Schalke 04 1 3:3 1
8. (1.) Hamburger SV 1 3:3 1
10. (1.) 1. FC Nürnberg 1 2:2 1
10. (1.) 1899 Hoffenheim 1 2:2 1
12. (1.) VfB Stuttgart 1 2:3 0
13. (1.) E. Braunschweig 1 0:1 0
14. (1.) Bor. M'gladbach 1 1:3 0
14. (1.) SC Freiburg 1 1:3 0
16. (1.) VfL Wolfsburg 1 0:2 0
17. (1.) FC Augsburg 1 0:4 0



TEGRA_table_txt_file: table_6579.txt
TEGRA_TABLE_TEXT: 2. (1.) Bor. Dortmund 1 4:0 3
3. (1.) Bay. Leverkusen 1 3:1 3
3. (1.) FC Bayern 1 3:1 3
5. (1.) Hannover 96 1 2:0 3
6. (1.) 1. FSV Mainz 05 1 3:2 3
7. (1.) Werder Bremen 1 1:0 3
8. (1.) FC Schalke 04 1 3:3 1
8. (1.) Hamburger SV 1 3:3 1
10. (1.) 1. FC Nürnberg 1 2:2 1
10. (1.) 1899 Hoffenheim 1 2:2 1
12. (1.) VfB Stuttgart 1 2:3 0
13. (1.) E. Braunschweig 1 0:1 0
14. (1.) Bor. M'gladbach 1 1:3 0
14. (1.) SC Freiburg 1 1:3 0
16. (1.) VfL Wolfsburg 1 0:2 0
17. (1.) FC Augsburg 1 0:4 0
label: 2. (1.)||Bor. Dortmund||1||4:0||3
3. (1.)||Bay. Leverkusen||1||3:1||3
3. (1.)||FC Bayern||1||3:1||3
5. (1.)||Hannover 96||1||2:0||3
6. (1.)||1. FSV Mainz 05||1||3:2||3
7. (1.)||Werder Bremen||1||1:0||3
8. (1.)||FC Schalke 04||1||3:3||1
8. (1.)||Hamburger SV||1||3:3||1
10. (1.)||1. FC Nürnberg||1||2:2||1
10. (1.)||1899 Hoffenheim||1||2:2||1
12. (1.)||VfB Stuttgart||1||2:3||0
13. (1.)||E. Braunschweig||1||0:1||0
14. (1.)||Bor. M'gladbach||1||1:3||0
14. (1.)||SC Freiburg||1||1:3||0
16. (1.)||VfL Wolfsburg||1||0:2||0
17. (1.)||FC Augsburg||1||0:4||0