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:
Total Cheese Gathered 162,160 41,018,471 N/A
Cheese Gathered First 68,512 41,018,471 N/A
Shaman Saves 331,463 41,018,471 N/A
Hard Mode Saves 261,337 41,018,471 N/A
Cheese Gathered as Shaman 11,075 41,018,471 N/A



TEGRA_table_txt_file: table_2274.txt
TEGRA_TABLE_TEXT: Total Cheese Gathered 162,160 41,018,471 N/A
Cheese Gathered First 68,512 41,018,471 N/A
Shaman Saves 331,463 41,018,471 N/A
Hard Mode Saves 261,337 41,018,471 N/A
Cheese Gathered as Shaman 11,075 41,018,471 N/A
label: Total Cheese Gathered||162,160||41,018,471||N/A
Cheese Gathered First||68,512||41,018,471||N/A
Shaman Saves||331,463||41,018,471||N/A
Hard Mode Saves||261,337||41,018,471||N/A
Cheese Gathered as Shaman||11,075||41,018,471||N/A
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
4. Preston 13 6 5 2 6 23
5. Bradford 13 6 4 3 11 22
6. Walsall 13 6 4 3 4 22
7. Brentford 13 6 3 4 1 21
8. Swindon 13 6 2 5 7 20



TEGRA_table_txt_file: table_7269.txt
TEGRA_TABLE_TEXT: 4. Preston 13 6 5 2 6 23
5. Bradford 13 6 4 3 11 22
6. Walsall 13 6 4 3 4 22
7. Brentford 13 6 3 4 1 21
8. Swindon 13 6 2 5 7 20
label: 4. Preston||13||6||5||2||6||23
5. Bradford||13||6||4||3||11||22
6. Walsall||13||6||4||3||4||22
7. Brentford||13||6||3||4||1||21
8. Swindon||13||6||2||5||7||20
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:
Leyton Orient 24 Nov, 11 27 Dec, 11 Loan 4 (0) 0 0 (0) 0 0 (0) 0 0 (0) 0
Millwall 11 Jul, 08 13 Jul, 12 Signed 120 (7) 4 8 (0) 0 5 (0) 0 1 (0) 0
Millwall 27 Mar, 08 27 Apr, 08 Loan 5 (0) 1 0 (0) 0 0 (0) 0 0 (0) 0
C Palace 27 Jun, 07 11 Jul, 08 Signed 13 (0) 0 0 (0) 0 1 (0) 0 0 (0) 0
Wycombe 22 Oct, 04 23 Jan, 05 Loan 14 (0) 0 2 (0) 0 0 (0) 0 2 (0) 0
Millwall 01 Aug, 02 27 Jun, 07 Trainee 75 (4) 2 2 (0) 0 3 (2) 0 1 (0) 0
Totals   #0 286 (12) 7 19 (0) 0 10 (3) 0 8 (0) 0



TEGRA_table_txt_file: table_5408.txt
TEGRA_TABLE_TEXT: Leyton Orient 24 Nov, 11 27 Dec, 11 Loan 4 (0) 0 0 (0) 0 0 (0) 0 0 (0) 0
Millwall 11 Jul, 08 13 Jul, 12 Signed 120 (7) 4 8 (0) 0 5 (0) 0 1 (0) 0
Millwall 27 Mar, 08 27 Apr, 08 Loan 5 (0) 1 0 (0) 0 0 (0) 0 0 (0) 0
C Palace 27 Jun, 07 11 Jul, 08 Signed 13 (0) 0 0 (0) 0 1 (0) 0 0 (0) 0
Wycombe 22 Oct, 04 23 Jan, 05 Loan 14 (0) 0 2 (0) 0 0 (0) 0 2 (0) 0
Millwall 01 Aug, 02 27 Jun, 07 Trainee 75 (4) 2 2 (0) 0 3 (2) 0 1 (0) 0
Totals   #0 286 (12) 7 19 (0) 0 10 (3) 0 8 (0) 0
label: Leyton Orient||24 Nov, 11||27 Dec, 11||Loan||4 (0)||0||0 (0)||0||0 (0)||0||0 (0)||0
Millwall||11 Jul, 08||13 Jul, 12||Signed||120 (7)||4||8 (0)||0||5 (0)||0||1 (0)||0
Millwall||27 Mar, 08||27 Apr, 08||Loan||5 (0)||1||0 (0)||0||0 (0)||0||0 (0)||0
C Palace||27 Jun, 07||11 Jul, 08||Signed||13 (0)||0||0 (0)||0||1 (0)||0||0 (0)||0
Wycombe||22 Oct, 04||23 Jan, 05||Loan||14 (0)||0||2 (0)||0||0 (0)||0||2 (0)||0
Millwall||01 Aug, 02||27 Jun, 07||Trainee||75 (4)||2||2 (0)||0||3 (2)||0||1 (0)||0
Totals||||||#0||286 (12)||7||19 (0)||0||10 (3)||0||8 (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:
Wind speed (kts) 5 5 5 7 5 6 7 7 6 6 6 7 8 7 7 6
Wind gusts (kts) 7 7 8 9 5 7 14 15 11 11 11 12 11 13 16 13
Wave direction                
Wave height (m) 0.1 0.1 0.1 0.1 0.0 0.0 0.1 0.2 0.3 0.2 0.2 0.2 0.2 0.1 0.3 0.4
Wave period (s) 2 2 2 3 3 3 1 2 2 2 2 2 2 3 2 2
Cloud cover                
Precipitation (mm/3h) 0 0 0 0 0 1 1 0 0 0 1 1 1 1 2 1
Air pressure (hPa) 1014 1014 1016 1017 1015 1015 1016 1017 1017 1017 1018 1019 1017 1017 1017 1018



TEGRA_table_txt_file: table_2557.txt
TEGRA_TABLE_TEXT: Wind speed (kts) 5 5 5 7 5 6 7 7 6 6 6 7 8 7 7 6
Wind gusts (kts) 7 7 8 9 5 7 14 15 11 11 11 12 11 13 16 13
Wave direction                
Wave height (m) 0.1 0.1 0.1 0.1 0.0 0.0 0.1 0.2 0.3 0.2 0.2 0.2 0.2 0.1 0.3 0.4
Wave period (s) 2 2 2 3 3 3 1 2 2 2 2 2 2 3 2 2
Cloud cover                
Precipitation (mm/3h) 0 0 0 0 0 1 1 0 0 0 1 1 1 1 2 1
Air pressure (hPa) 1014 1014 1016 1017 1015 1015 1016 1017 1017 1017 1018 1019 1017 1017 1017 1018
label: Wind speed (kts)||5||5||5||7||5||6||7||7||6||6||6||7||8||7||7||6
Wind gusts (kts)||7||7||8||9||5||7||14||15||11||11||11||12||11||13||16||13
Wave direction||||||||||||||||||||||||||||||||
Wave height (m)||0.1||0.1||0.1||0.1||0.0||0.0||0.1||0.2||0.3||0.2||0.2||0.2||0.2||0.1||0.3||0.4
Wave period (s)||2||2||2||3||3||3||1||2||2||2||2||2||2||3||2||2
Cloud cover||||||||||||||||||||||||||||||||
Precipitation (mm/3h)||0||0||0||0||0||1||1||0||0||0||1||1||1||1||2||1
Air pressure (hPa)||1014||1014||1016||1017||1015||1015||1016||1017||1017||1017||1018||1019||1017||1017||1017||1018
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
4 21.5" (54cm) 21" (53cm) 35" (89cm)
6 23" (58cm) 22" (56cm) 36" (91cm)
8 25" (64cm) 24" (61cm) 38" (97cm)
10 26" (66cm) 25" (64cm) 40" (102cm)
12 28" (71cm) 27" (69cm) 42" (107cm)
14 29.5" (75cm) 29" (74cm) 44" (112cm)



TEGRA_table_txt_file: table_4690.txt
TEGRA_TABLE_TEXT: 4 21.5" (54cm) 21" (53cm) 35" (89cm)
6 23" (58cm) 22" (56cm) 36" (91cm)
8 25" (64cm) 24" (61cm) 38" (97cm)
10 26" (66cm) 25" (64cm) 40" (102cm)
12 28" (71cm) 27" (69cm) 42" (107cm)
14 29.5" (75cm) 29" (74cm) 44" (112cm)
label: 4||21.5" (54cm)||21" (53cm)||35" (89cm)
6||23" (58cm)||22" (56cm)||36" (91cm)
8||25" (64cm)||24" (61cm)||38" (97cm)
10||26" (66cm)||25" (64cm)||40" (102cm)
12||28" (71cm)||27" (69cm)||42" (107cm)
14||29.5" (75cm)||29" (74cm)||44" (112cm)
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:
8 AM Partly Cloudy 39° 32° 11 mph W 72% 0% 0
9 AM Partly Cloudy 41° 34° 11 mph W 68% 0% 0
10 AM Partly Cloudy 44° 38° 11 mph W 61% 0% 1
11 AM Partly Cloudy 47° 47° 11 mph W 54% 0% 2
12 PM Partly Cloudy 49° 49° 13 mph WNW 50% 0% 2
1 PM Partly Cloudy 50° 50° 13 mph WNW 46% 0% 3
2 PM Partly Cloudy 50° 50° 13 mph WNW 44% 0% 2
3 PM Mostly Sunny 50° 50° 15 mph WNW 42% 0% 1
4 PM Mostly Sunny 50° 50° 15 mph WNW 42% 0% 1
5 PM Mostly Sunny 49° 49° 15 mph WNW 43% 0% 0
6 PM Fair 47° 47° 14 mph WNW 46% 0% 0
7 PM Fair 45° 45° 14 mph WNW 51% 0% 0
8 PM Fair 43° 36° 14 mph WNW 57% 0% 0
9 PM Fair 41° 34° 13 mph WNW 62% 0% 0
10 PM Fair 40° 32° 13 mph WNW 65% 0% 0



TEGRA_table_txt_file: table_4174.txt
TEGRA_TABLE_TEXT: 8 AM Partly Cloudy 39° 32° 11 mph W 72% 0% 0
9 AM Partly Cloudy 41° 34° 11 mph W 68% 0% 0
10 AM Partly Cloudy 44° 38° 11 mph W 61% 0% 1
11 AM Partly Cloudy 47° 47° 11 mph W 54% 0% 2
12 PM Partly Cloudy 49° 49° 13 mph WNW 50% 0% 2
1 PM Partly Cloudy 50° 50° 13 mph WNW 46% 0% 3
2 PM Partly Cloudy 50° 50° 13 mph WNW 44% 0% 2
3 PM Mostly Sunny 50° 50° 15 mph WNW 42% 0% 1
4 PM Mostly Sunny 50° 50° 15 mph WNW 42% 0% 1
5 PM Mostly Sunny 49° 49° 15 mph WNW 43% 0% 0
6 PM Fair 47° 47° 14 mph WNW 46% 0% 0
7 PM Fair 45° 45° 14 mph WNW 51% 0% 0
8 PM Fair 43° 36° 14 mph WNW 57% 0% 0
9 PM Fair 41° 34° 13 mph WNW 62% 0% 0
10 PM Fair 40° 32° 13 mph WNW 65% 0% 0
label: 8 AM||Partly Cloudy||39°||32°||11 mph W||72%||0%||0
9 AM||Partly Cloudy||41°||34°||11 mph W||68%||0%||0
10 AM||Partly Cloudy||44°||38°||11 mph W||61%||0%||1
11 AM||Partly Cloudy||47°||47°||11 mph W||54%||0%||2
12 PM||Partly Cloudy||49°||49°||13 mph WNW||50%||0%||2
1 PM||Partly Cloudy||50°||50°||13 mph WNW||46%||0%||3
2 PM||Partly Cloudy||50°||50°||13 mph WNW||44%||0%||2
3 PM||Mostly Sunny||50°||50°||15 mph WNW||42%||0%||1
4 PM||Mostly Sunny||50°||50°||15 mph WNW||42%||0%||1
5 PM||Mostly Sunny||49°||49°||15 mph WNW||43%||0%||0
6 PM||Fair||47°||47°||14 mph WNW||46%||0%||0
7 PM||Fair||45°||45°||14 mph WNW||51%||0%||0
8 PM||Fair||43°||36°||14 mph WNW||57%||0%||0
9 PM||Fair||41°||34°||13 mph WNW||62%||0%||0
10 PM||Fair||40°||32°||13 mph WNW||65%||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:
10 MacDougall, Autumn 1 0 1 0 0 0
16 O'Connor, Catherine 1 0 1 0 1 0
19 Rushton, Mallory 1 0 1 0 0 2
5 Perry, Taylor 0 1 1 0 0 0
14 Monk, Rachel 0 1 1 0 0 0
2 MacEachern, Breah 0 0 0 0 0 0
12 McIntyre, Shaeyln 0 0 0 0 0 0
17 Parker, Casey 0 0 0 0 0 2
18 Pellerin, Jenna 0 0 0 0 0 0
4 Munroe, Allie 0 0 0 0 0 0
7 Williams, Brittany 0 0 0 0 0 2
15 Morash, Taylor 0 0 0 0 0 0
6 Stewart, Kelly 0 0 0 0 0 4
8 MacDonald, Annie 0 0 0 0 0 0
9 MacDonald, Emily 0 0 0 0 0 0
11 MacNeil, Alyssa 0 0 0 0 0 0



TEGRA_table_txt_file: table_8505.txt
TEGRA_TABLE_TEXT: 10 MacDougall, Autumn 1 0 1 0 0 0
16 O'Connor, Catherine 1 0 1 0 1 0
19 Rushton, Mallory 1 0 1 0 0 2
5 Perry, Taylor 0 1 1 0 0 0
14 Monk, Rachel 0 1 1 0 0 0
2 MacEachern, Breah 0 0 0 0 0 0
12 McIntyre, Shaeyln 0 0 0 0 0 0
17 Parker, Casey 0 0 0 0 0 2
18 Pellerin, Jenna 0 0 0 0 0 0
4 Munroe, Allie 0 0 0 0 0 0
7 Williams, Brittany 0 0 0 0 0 2
15 Morash, Taylor 0 0 0 0 0 0
6 Stewart, Kelly 0 0 0 0 0 4
8 MacDonald, Annie 0 0 0 0 0 0
9 MacDonald, Emily 0 0 0 0 0 0
11 MacNeil, Alyssa 0 0 0 0 0 0
label: 10||MacDougall, Autumn||1||0||1||0||0||0
16||O'Connor, Catherine||1||0||1||0||1||0
19||Rushton, Mallory||1||0||1||0||0||2
5||Perry, Taylor||0||1||1||0||0||0
14||Monk, Rachel||0||1||1||0||0||0
2||MacEachern, Breah||0||0||0||0||0||0
12||McIntyre, Shaeyln||0||0||0||0||0||0
17||Parker, Casey||0||0||0||0||0||2
18||Pellerin, Jenna||0||0||0||0||0||0
4||Munroe, Allie||0||0||0||0||0||0
7||Williams, Brittany||0||0||0||0||0||2
15||Morash, Taylor||0||0||0||0||0||0
6||Stewart, Kelly||0||0||0||0||0||4
8||MacDonald, Annie||0||0||0||0||0||0
9||MacDonald, Emily||0||0||0||0||0||0
11||MacNeil, Alyssa||0||0||0||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:
Stator 593847 - -
Rectifier 593464 RTF39767 112.00
D/E Bracket - - -
D/E Bearing - - -
S/R/E Bracket - - -
S/R/E Bearing - - -
Regulator 593846 VRG47417 34.40
Slip Ring - - -
Brush - - -
Brush Holder - - -
Diode/Trio - - -
End Cover 593425 - -
Pulley 593755 EC44250 12.10
Parts Set 1 - - -
Parts Set 2 - - -
Rectifier +ve - - -
Rectifier -ve - - -
Misc 1 - - -
Misc 2 - - -



TEGRA_table_txt_file: table_6891.txt
TEGRA_TABLE_TEXT: Stator 593847 - -
Rectifier 593464 RTF39767 112.00
D/E Bracket - - -
D/E Bearing - - -
S/R/E Bracket - - -
S/R/E Bearing - - -
Regulator 593846 VRG47417 34.40
Slip Ring - - -
Brush - - -
Brush Holder - - -
Diode/Trio - - -
End Cover 593425 - -
Pulley 593755 EC44250 12.10
Parts Set 1 - - -
Parts Set 2 - - -
Rectifier +ve - - -
Rectifier -ve - - -
Misc 1 - - -
Misc 2 - - -
label: Stator||593847||-||-
Rectifier||593464||RTF39767||112.00
D/E Bracket||-||-||-
D/E Bearing||-||-||-
S/R/E Bracket||-||-||-
S/R/E Bearing||-||-||-
Regulator||593846||VRG47417||34.40
Slip Ring||-||-||-
Brush||-||-||-
Brush Holder||-||-||-
Diode/Trio||-||-||-
End Cover||593425||-||-
Pulley||593755||EC44250||12.10
Parts Set 1||-||-||-
Parts Set 2||-||-||-
Rectifier +ve||-||-||-
Rectifier -ve||-||-||-
Misc 1||-||-||-
Misc 2||-||-||-
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
2 Schalke 0 - 3 Chelsea 1X2
3 Arsenal 1 - 2 B. Dortmund 1X2
4 Marseille 1 - 2 Nápoles 1X2
5 Porto 0 - 1 Zenit S. P. 1X2
6 Austria Wien 0 - 3 Atlético de Madrid 1X2
7 Celtic 2 - 1 Ajax 1X2
8 CSKA Moscú ? - ? Manchester City Mié, 18:00
9 Bayern M. ? - ? Plzen Mié, 20:45
10 Bayer Leverkusen ? - ? Shakhtar Mié, 20:45
11 Manchester U. ? - ? Real Sociedad Mié, 20:45
12 Real Madrid ? - ? Juventus Mié, 20:45
13 Anderlecht ? - ? Psg Mié, 20:45
14 Benfica ? - ? Olympiacos Mié, 20:45



TEGRA_table_txt_file: table_8880.txt
TEGRA_TABLE_TEXT: 2 Schalke 0 - 3 Chelsea 1X2
3 Arsenal 1 - 2 B. Dortmund 1X2
4 Marseille 1 - 2 Nápoles 1X2
5 Porto 0 - 1 Zenit S. P. 1X2
6 Austria Wien 0 - 3 Atlético de Madrid 1X2
7 Celtic 2 - 1 Ajax 1X2
8 CSKA Moscú ? - ? Manchester City Mié, 18:00
9 Bayern M. ? - ? Plzen Mié, 20:45
10 Bayer Leverkusen ? - ? Shakhtar Mié, 20:45
11 Manchester U. ? - ? Real Sociedad Mié, 20:45
12 Real Madrid ? - ? Juventus Mié, 20:45
13 Anderlecht ? - ? Psg Mié, 20:45
14 Benfica ? - ? Olympiacos Mié, 20:45
label: 2||Schalke||0||-||3||Chelsea||1X2
3||Arsenal||1||-||2||B. Dortmund||1X2
4||Marseille||1||-||2||Nápoles||1X2
5||Porto||0||-||1||Zenit S. P.||1X2
6||Austria Wien||0||-||3||Atlético de Madrid||1X2
7||Celtic||2||-||1||Ajax||1X2
8||CSKA Moscú||?||-||?||Manchester City||Mié, 18:00
9||Bayern M.||?||-||?||Plzen||Mié, 20:45
10||Bayer Leverkusen||?||-||?||Shakhtar||Mié, 20:45
11||Manchester U.||?||-||?||Real Sociedad||Mié, 20:45
12||Real Madrid||?||-||?||Juventus||Mié, 20:45
13||Anderlecht||?||-||?||Psg||Mié, 20:45
14||Benfica||?||-||?||Olympiacos||Mié, 20:45
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:
Apple 14 Days 12 Months 12 Months* Click Here
Blackberry 14 Days 12 Months 12 Months* 1300 669 049
HTC 14 Days 12 Months 12 Months* 1300 482 482
Huawei 14 Days 12 Months 12 Months* 1800 025 544
INQ 14 Days 12 Months 12 Months* 1800 828 053
LG 14 Days 12 Months 12 Months* 1800 638 080
Motorola 14 Days 12 Months 12 Months* 1300 138 823
Nokia 30 Days 24 Months 12 Months* 1300 366 733
Samsung 14 Days 24 Months 12 Months* 1300 362 603
Sonim 14 Days 36 Months 12 Months* (02) 8011 3863
Sony 14 Days 12 Months 12 Months* 1300 650 050



TEGRA_table_txt_file: table_5084.txt
TEGRA_TABLE_TEXT: Apple 14 Days 12 Months 12 Months* Click Here
Blackberry 14 Days 12 Months 12 Months* 1300 669 049
HTC 14 Days 12 Months 12 Months* 1300 482 482
Huawei 14 Days 12 Months 12 Months* 1800 025 544
INQ 14 Days 12 Months 12 Months* 1800 828 053
LG 14 Days 12 Months 12 Months* 1800 638 080
Motorola 14 Days 12 Months 12 Months* 1300 138 823
Nokia 30 Days 24 Months 12 Months* 1300 366 733
Samsung 14 Days 24 Months 12 Months* 1300 362 603
Sonim 14 Days 36 Months 12 Months* (02) 8011 3863
Sony 14 Days 12 Months 12 Months* 1300 650 050
label: Apple||14 Days||12 Months||12 Months*||Click Here
Blackberry||14 Days||12 Months||12 Months*||1300 669 049
HTC||14 Days||12 Months||12 Months*||1300 482 482
Huawei||14 Days||12 Months||12 Months*||1800 025 544
INQ||14 Days||12 Months||12 Months*||1800 828 053
LG||14 Days||12 Months||12 Months*||1800 638 080
Motorola||14 Days||12 Months||12 Months*||1300 138 823
Nokia||30 Days||24 Months||12 Months*||1300 366 733
Samsung||14 Days||24 Months||12 Months*||1300 362 603
Sonim||14 Days||36 Months||12 Months*||(02) 8011 3863
Sony||14 Days||12 Months||12 Months*||1300 650 050
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:
TOTAL1) Space heating Waterheating Cooking Other 
ENERGY SOURCE TJ    
TOTAL1) 49,367 32,436 7,839 1,787 7,305
Extra light fuel oil 10,826 8,858 1,969 - -
Natural gas 4,442 3,474 730 237 -
Wood fuels 16,730 14,541 1,892 297 -
Liquefied petroleum gas 1,583 705 148 731 -
Electricity 11,293 1,266 2,200 522 7,305
Coal 31 27 4 - -
District heat 4,022 3,260 762 - -
Solar energy 185 88 97 - -



TEGRA_table_txt_file: table_8465.txt
TEGRA_TABLE_TEXT: TOTAL1) Space heating Waterheating Cooking Other 
ENERGY SOURCE TJ    
TOTAL1) 49,367 32,436 7,839 1,787 7,305
Extra light fuel oil 10,826 8,858 1,969 - -
Natural gas 4,442 3,474 730 237 -
Wood fuels 16,730 14,541 1,892 297 -
Liquefied petroleum gas 1,583 705 148 731 -
Electricity 11,293 1,266 2,200 522 7,305
Coal 31 27 4 - -
District heat 4,022 3,260 762 - -
Solar energy 185 88 97 - -
label: TOTAL1)||Space heating||Waterheating||Cooking||Other||
ENERGY SOURCE||TJ||||||||
TOTAL1)||49,367||32,436||7,839||1,787||7,305
Extra light fuel oil||10,826||8,858||1,969||-||-
Natural gas||4,442||3,474||730||237||-
Wood fuels||16,730||14,541||1,892||297||-
Liquefied petroleum gas||1,583||705||148||731||-
Electricity||11,293||1,266||2,200||522||7,305
Coal||31||27||4||-||-
District heat||4,022||3,260||762||-||-
Solar energy||185||88||97||-||-
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
19 $24,900 $22,500 $21 2 / 1.5 1,088sf / 101.1m2 3/28/2013
K-70 $39,000 $38,000 $35 2 / 1.5 1,088sf / 101.1m2 2/26/2013
M84 $27,900 $24,000 $22 2 / 1.5 1,088sf / 101.1m2 2/22/2013
K-70 $8,910 $25,100 $23 2 / 1.5 1,088sf / 101.1m2 5/31/2012
J 59 $9,900 $16,000 $15 2 / 1.5 1,088sf / 101.1m2 4/20/2012
G41 $8,900 $10,500 $10 2 / 1.5 1,088sf / 101.1m2 10/31/2011
83 $8,900 $8,900 $8 2 / 1.5 1,088sf / 101.1m2 7/18/2011
77 $15,000 $12,000 $11 2 / 1 1,088sf / 101.1m2 7/7/2011
29 E $12,900 $13,055 $12 2 / 1 1,088sf / 101.1m2 6/30/2011
D-24 $19,900 $16,500 $15 2 / 1.5 1,088sf / 101.1m2 10/28/2010



TEGRA_table_txt_file: table_9219.txt
TEGRA_TABLE_TEXT: 19 $24,900 $22,500 $21 2 / 1.5 1,088sf / 101.1m2 3/28/2013
K-70 $39,000 $38,000 $35 2 / 1.5 1,088sf / 101.1m2 2/26/2013
M84 $27,900 $24,000 $22 2 / 1.5 1,088sf / 101.1m2 2/22/2013
K-70 $8,910 $25,100 $23 2 / 1.5 1,088sf / 101.1m2 5/31/2012
J 59 $9,900 $16,000 $15 2 / 1.5 1,088sf / 101.1m2 4/20/2012
G41 $8,900 $10,500 $10 2 / 1.5 1,088sf / 101.1m2 10/31/2011
83 $8,900 $8,900 $8 2 / 1.5 1,088sf / 101.1m2 7/18/2011
77 $15,000 $12,000 $11 2 / 1 1,088sf / 101.1m2 7/7/2011
29 E $12,900 $13,055 $12 2 / 1 1,088sf / 101.1m2 6/30/2011
D-24 $19,900 $16,500 $15 2 / 1.5 1,088sf / 101.1m2 10/28/2010
label: 19||$24,900||$22,500||$21||2 / 1.5||1,088sf / 101.1m2||3/28/2013
K-70||$39,000||$38,000||$35||2 / 1.5||1,088sf / 101.1m2||2/26/2013
M84||$27,900||$24,000||$22||2 / 1.5||1,088sf / 101.1m2||2/22/2013
K-70||$8,910||$25,100||$23||2 / 1.5||1,088sf / 101.1m2||5/31/2012
J 59||$9,900||$16,000||$15||2 / 1.5||1,088sf / 101.1m2||4/20/2012
G41||$8,900||$10,500||$10||2 / 1.5||1,088sf / 101.1m2||10/31/2011
83||$8,900||$8,900||$8||2 / 1.5||1,088sf / 101.1m2||7/18/2011
77||$15,000||$12,000||$11||2 / 1||1,088sf / 101.1m2||7/7/2011
29 E||$12,900||$13,055||$12||2 / 1||1,088sf / 101.1m2||6/30/2011
D-24||$19,900||$16,500||$15||2 / 1.5||1,088sf / 101.1m2||10/28/2010
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 Atlético Madrid 9 8 0 1 21 - 7 24
3 Real Madrid 9 7 1 1 19 - 9 22
4 Villarreal 9 5 2 2 15 - 9 17
5 Getafe 9 5 1 3 14 - 11 16
6 Athletic Bilbao 9 5 1 3 15 - 13 16
7 Espanyol 9 4 2 3 12 - 11 14
8 Valencia 9 4 1 4 12 - 13 13
9 Levante 9 3 4 2 9 - 14 13
10 Elche 9 3 3 3 10 - 12 12
11 Sevilla 9 2 4 3 15 - 16 10
12 Real Sociedad 9 2 4 3 8 - 10 10
13 Málaga 9 2 3 4 11 - 9 9
14 Rayo Vallecano 9 3 0 6 7 - 21 9
15 Real Betis 9 2 2 5 9 - 12 8
16 Granada 9 2 2 5 5 - 10 8
17 Real Valladolid 9 1 4 4 9 - 15 7
18 Osasuna 9 2 1 6 6 - 13 7
19 Celta Vigo 9 1 3 5 8 - 13 6



TEGRA_table_txt_file: table_3056.txt
TEGRA_TABLE_TEXT: 2 Atlético Madrid 9 8 0 1 21 - 7 24
3 Real Madrid 9 7 1 1 19 - 9 22
4 Villarreal 9 5 2 2 15 - 9 17
5 Getafe 9 5 1 3 14 - 11 16
6 Athletic Bilbao 9 5 1 3 15 - 13 16
7 Espanyol 9 4 2 3 12 - 11 14
8 Valencia 9 4 1 4 12 - 13 13
9 Levante 9 3 4 2 9 - 14 13
10 Elche 9 3 3 3 10 - 12 12
11 Sevilla 9 2 4 3 15 - 16 10
12 Real Sociedad 9 2 4 3 8 - 10 10
13 Málaga 9 2 3 4 11 - 9 9
14 Rayo Vallecano 9 3 0 6 7 - 21 9
15 Real Betis 9 2 2 5 9 - 12 8
16 Granada 9 2 2 5 5 - 10 8
17 Real Valladolid 9 1 4 4 9 - 15 7
18 Osasuna 9 2 1 6 6 - 13 7
19 Celta Vigo 9 1 3 5 8 - 13 6
label: 2||Atlético Madrid||9||8||0||1||21 - 7||24
3||Real Madrid||9||7||1||1||19 - 9||22
4||Villarreal||9||5||2||2||15 - 9||17
5||Getafe||9||5||1||3||14 - 11||16
6||Athletic Bilbao||9||5||1||3||15 - 13||16
7||Espanyol||9||4||2||3||12 - 11||14
8||Valencia||9||4||1||4||12 - 13||13
9||Levante||9||3||4||2||9 - 14||13
10||Elche||9||3||3||3||10 - 12||12
11||Sevilla||9||2||4||3||15 - 16||10
12||Real Sociedad||9||2||4||3||8 - 10||10
13||Málaga||9||2||3||4||11 - 9||9
14||Rayo Vallecano||9||3||0||6||7 - 21||9
15||Real Betis||9||2||2||5||9 - 12||8
16||Granada||9||2||2||5||5 - 10||8
17||Real Valladolid||9||1||4||4||9 - 15||7
18||Osasuna||9||2||1||6||6 - 13||7
19||Celta Vigo||9||1||3||5||8 - 13||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 AS Monaco 10 6 4 0 18 7 11 22
3 OSC Lille 10 6 2 2 12 4 8 20
4 FC Nantes 10 6 1 3 15 8 7 19
5 Olympique Marseille 10 5 2 3 13 8 5 17
6 Nizza 10 5 2 3 12 10 2 17
7 Saint-Etienne 10 5 1 4 15 13 2 16
8 Toulouse FC 10 4 3 3 9 11 -2 15
9 En Avant Guingamp 10 4 2 4 14 11 3 14
10 Rennes 10 3 4 3 10 11 -1 13
11 Olympique Lyon 10 3 3 4 14 13 1 12
12 Montpellier HSC 10 2 6 2 14 13 1 12
13 Stade de Reims 10 2 6 2 8 8 0 12
14 SC Bastia 10 3 3 4 11 15 -4 12
15 Girondins Bordeaux 10 2 5 3 12 13 -1 11
16 Évian Thonon Gaillard FC 10 2 3 5 11 19 -8 9
17 Ajaccio AC 10 1 4 5 6 13 -7 7
18 FC Lorient 10 2 1 7 9 18 -9 7
19 FC Sochaux 10 1 3 6 9 20 -11 6



TEGRA_table_txt_file: table_6241.txt
TEGRA_TABLE_TEXT: 2 AS Monaco 10 6 4 0 18 7 11 22
3 OSC Lille 10 6 2 2 12 4 8 20
4 FC Nantes 10 6 1 3 15 8 7 19
5 Olympique Marseille 10 5 2 3 13 8 5 17
6 Nizza 10 5 2 3 12 10 2 17
7 Saint-Etienne 10 5 1 4 15 13 2 16
8 Toulouse FC 10 4 3 3 9 11 -2 15
9 En Avant Guingamp 10 4 2 4 14 11 3 14
10 Rennes 10 3 4 3 10 11 -1 13
11 Olympique Lyon 10 3 3 4 14 13 1 12
12 Montpellier HSC 10 2 6 2 14 13 1 12
13 Stade de Reims 10 2 6 2 8 8 0 12
14 SC Bastia 10 3 3 4 11 15 -4 12
15 Girondins Bordeaux 10 2 5 3 12 13 -1 11
16 Évian Thonon Gaillard FC 10 2 3 5 11 19 -8 9
17 Ajaccio AC 10 1 4 5 6 13 -7 7
18 FC Lorient 10 2 1 7 9 18 -9 7
19 FC Sochaux 10 1 3 6 9 20 -11 6
label: 2||AS Monaco||10||6||4||0||18||7||11||22
3||OSC Lille||10||6||2||2||12||4||8||20
4||FC Nantes||10||6||1||3||15||8||7||19
5||Olympique Marseille||10||5||2||3||13||8||5||17
6||Nizza||10||5||2||3||12||10||2||17
7||Saint-Etienne||10||5||1||4||15||13||2||16
8||Toulouse FC||10||4||3||3||9||11||-2||15
9||En Avant Guingamp||10||4||2||4||14||11||3||14
10||Rennes||10||3||4||3||10||11||-1||13
11||Olympique Lyon||10||3||3||4||14||13||1||12
12||Montpellier HSC||10||2||6||2||14||13||1||12
13||Stade de Reims||10||2||6||2||8||8||0||12
14||SC Bastia||10||3||3||4||11||15||-4||12
15||Girondins Bordeaux||10||2||5||3||12||13||-1||11
16||Évian Thonon Gaillard FC||10||2||3||5||11||19||-8||9
17||Ajaccio AC||10||1||4||5||6||13||-7||7
18||FC Lorient||10||2||1||7||9||18||-9||7
19||FC Sochaux||10||1||3||6||9||20||-11||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:
Billboard Hot 100 Airplay 68
Billboard Mainstream Rock Tracks 4
Billboard Modern Rock Tracks 5
Austrália Singles Chart 4
Áustria Singles Chart 38
Alemanha Singles Chart 32
Itália Singles Chart 46
Países Baixos Singles Chart 57
Suécia Singles Chart 46
Suíça Singles Chart 42



TEGRA_table_txt_file: table_2069.txt
TEGRA_TABLE_TEXT: Billboard Hot 100 Airplay 68
Billboard Mainstream Rock Tracks 4
Billboard Modern Rock Tracks 5
Austrália Singles Chart 4
Áustria Singles Chart 38
Alemanha Singles Chart 32
Itália Singles Chart 46
Países Baixos Singles Chart 57
Suécia Singles Chart 46
Suíça Singles Chart 42
label: Billboard Hot 100 Airplay||68
Billboard Mainstream Rock Tracks||4
Billboard Modern Rock Tracks||5
Austrália Singles Chart||4
Áustria Singles Chart||38
Alemanha Singles Chart||32
Itália Singles Chart||46
Países Baixos Singles Chart||57
Suécia Singles Chart||46
Suíça Singles Chart||42
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:
New England Securities  December 02, 2011 
New England Securities Newtown Square, PA December 02, 2011 December 02, 2011
New England Securities Tampa, FL October 10, 2011 December 02, 2011
New England Securities  October 10, 2011 October 10, 2011
Signator Investors, Inc. Tampa, FL July 01, 2009 January 25, 2010
Signator Investors, Inc. Sarasota, FL May 01, 2007 July 01, 2009
Signator Investors, Inc.  May 01, 2007 May 01, 2007
Amsouth Investment Management Company LLC Memphis, TN March 23, 2006 March 05, 2007



TEGRA_table_txt_file: table_8667.txt
TEGRA_TABLE_TEXT: New England Securities  December 02, 2011 
New England Securities Newtown Square, PA December 02, 2011 December 02, 2011
New England Securities Tampa, FL October 10, 2011 December 02, 2011
New England Securities  October 10, 2011 October 10, 2011
Signator Investors, Inc. Tampa, FL July 01, 2009 January 25, 2010
Signator Investors, Inc. Sarasota, FL May 01, 2007 July 01, 2009
Signator Investors, Inc.  May 01, 2007 May 01, 2007
Amsouth Investment Management Company LLC Memphis, TN March 23, 2006 March 05, 2007
label: New England Securities||||December 02, 2011||
New England Securities||Newtown Square, PA||December 02, 2011||December 02, 2011
New England Securities||Tampa, FL||October 10, 2011||December 02, 2011
New England Securities||||October 10, 2011||October 10, 2011
Signator Investors, Inc.||Tampa, FL||July 01, 2009||January 25, 2010
Signator Investors, Inc.||Sarasota, FL||May 01, 2007||July 01, 2009
Signator Investors, Inc.||||May 01, 2007||May 01, 2007
Amsouth Investment Management Company LLC||Memphis, TN||March 23, 2006||March 05, 2007
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:
R. Sarmiento MR. FUZZY 52.9 58.0 58.4
R. Sánchez EL QUISQUEYANO RETIRADO  
E. Martínez Jr TABISKEY RETIRADO  
S. León LITTLE KING 51.6 54.0 54.1
R. Quintero GUIRIGAY 52.8 54.0 54.7
H. Ontiveros ANDERSON FATHER RETIRADO  
J. Urdaneta SOKRATES 51.9 54.0 54.3



TEGRA_table_txt_file: table_7707.txt
TEGRA_TABLE_TEXT: R. Sarmiento MR. FUZZY 52.9 58.0 58.4
R. Sánchez EL QUISQUEYANO RETIRADO  
E. Martínez Jr TABISKEY RETIRADO  
S. León LITTLE KING 51.6 54.0 54.1
R. Quintero GUIRIGAY 52.8 54.0 54.7
H. Ontiveros ANDERSON FATHER RETIRADO  
J. Urdaneta SOKRATES 51.9 54.0 54.3
label: R. Sarmiento||MR. FUZZY||52.9||58.0||58.4
R. Sánchez||EL QUISQUEYANO||RETIRADO||||
E. Martínez Jr||TABISKEY||RETIRADO||||
S. León||LITTLE KING||51.6||54.0||54.1
R. Quintero||GUIRIGAY||52.8||54.0||54.7
H. Ontiveros||ANDERSON FATHER||RETIRADO||||
J. Urdaneta||SOKRATES||51.9||54.0||54.3
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
2 Communication Managing Diversity
3 Ethics & Social Responsibility The Management Process
4 Effective Team Management Operations Management
5 Planning & Strategy Formation Financial Management
6 Decision Making Operations Control
7 Managing Diversity Planning & Strategy Formation
8 Managing Change & Culture Organizing Work
9 Feedback Project Management



TEGRA_table_txt_file: table_1862.txt
TEGRA_TABLE_TEXT: 2 Communication Managing Diversity
3 Ethics & Social Responsibility The Management Process
4 Effective Team Management Operations Management
5 Planning & Strategy Formation Financial Management
6 Decision Making Operations Control
7 Managing Diversity Planning & Strategy Formation
8 Managing Change & Culture Organizing Work
9 Feedback Project Management
label: 2||Communication||Managing Diversity
3||Ethics & Social Responsibility||The Management Process
4||Effective Team Management||Operations Management
5||Planning & Strategy Formation||Financial Management
6||Decision Making||Operations Control
7||Managing Diversity||Planning & Strategy Formation
8||Managing Change & Culture||Organizing Work
9||Feedback||Project Management
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:
133 NY NY Traffic NY Weather next
134 DC/BAL/ATL First Traffic & SiriusXM
135 CHI/DET Detroit Traffic Chicago Next
136 MIA/TB First Traffic & SiriusXM
137 DFW/HOU/PHX SIRIUSXM SIRIUSXM
138 STL/MSP/LSV First Traffic & SiriusXM
139 SF/SEA/SDG First Traffic & SiriusXM
140 LA LA Traffic LA Weather next



TEGRA_table_txt_file: table_103.txt
TEGRA_TABLE_TEXT: 133 NY NY Traffic NY Weather next
134 DC/BAL/ATL First Traffic & SiriusXM
135 CHI/DET Detroit Traffic Chicago Next
136 MIA/TB First Traffic & SiriusXM
137 DFW/HOU/PHX SIRIUSXM SIRIUSXM
138 STL/MSP/LSV First Traffic & SiriusXM
139 SF/SEA/SDG First Traffic & SiriusXM
140 LA LA Traffic LA Weather next
label: 133||NY||NY Traffic||NY Weather next
134||DC/BAL/ATL||First Traffic &||SiriusXM
135||CHI/DET||Detroit Traffic||Chicago Next
136||MIA/TB||First Traffic &||SiriusXM
137||DFW/HOU/PHX||SIRIUSXM||SIRIUSXM
138||STL/MSP/LSV||First Traffic &||SiriusXM
139||SF/SEA/SDG||First Traffic &||SiriusXM
140||LA||LA Traffic||LA Weather next
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:
Primary schools 13 50 33 4
Secondary schools 17 40 34 9
Sixth forms 18 43 37 2
Special schools 26 54 18 2
Pupil referral units 7 55 30 7



TEGRA_table_txt_file: table_6333.txt
TEGRA_TABLE_TEXT: Primary schools 13 50 33 4
Secondary schools 17 40 34 9
Sixth forms 18 43 37 2
Special schools 26 54 18 2
Pupil referral units 7 55 30 7
label: Primary schools||13||50||33||4
Secondary schools||17||40||34||9
Sixth forms||18||43||37||2
Special schools||26||54||18||2
Pupil referral units||7||55||30||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:
2 Aligarh Jn (ALJN) 19:05 19:07 2 min 1 129 km
3 Tundla Jn (TDL) 19:51 19:53 2 min 1 207 km
4 Kanpur Central (CNB) 22:12 22:17 5 min 1 437 km
5 Allahabad Jn (ALD) 00:17 00:20 3 min 2 631 km
6 Vindhyachal (BDL) 01:09 01:11 2 min 2 714 km
7 Mughal Sarai Jn (MGS) 02:20 02:40 20 min 2 784 km
8 Dildarnagar Jn (DLN) 03:20 03:22 2 min 2 842 km
9 Buxar (BXR) 03:50 03:52 2 min 2 878 km
10 Dumraon (DURE) 04:03 04:05 2 min 2 894 km
11 Bihiya (BEA) 04:26 04:28 2 min 2 925 km
12 Ara (ARA) 04:46 04:48 2 min 2 947 km
13 Danapur (DNR) 05:23 05:25 2 min 2 986 km
14 Patna Jn (PNBE) 05:55 06:05 10 min 2 996 km



TEGRA_table_txt_file: table_7879.txt
TEGRA_TABLE_TEXT: 2 Aligarh Jn (ALJN) 19:05 19:07 2 min 1 129 km
3 Tundla Jn (TDL) 19:51 19:53 2 min 1 207 km
4 Kanpur Central (CNB) 22:12 22:17 5 min 1 437 km
5 Allahabad Jn (ALD) 00:17 00:20 3 min 2 631 km
6 Vindhyachal (BDL) 01:09 01:11 2 min 2 714 km
7 Mughal Sarai Jn (MGS) 02:20 02:40 20 min 2 784 km
8 Dildarnagar Jn (DLN) 03:20 03:22 2 min 2 842 km
9 Buxar (BXR) 03:50 03:52 2 min 2 878 km
10 Dumraon (DURE) 04:03 04:05 2 min 2 894 km
11 Bihiya (BEA) 04:26 04:28 2 min 2 925 km
12 Ara (ARA) 04:46 04:48 2 min 2 947 km
13 Danapur (DNR) 05:23 05:25 2 min 2 986 km
14 Patna Jn (PNBE) 05:55 06:05 10 min 2 996 km
label: 2||Aligarh Jn (ALJN)||19:05||19:07||2 min||1||129 km
3||Tundla Jn (TDL)||19:51||19:53||2 min||1||207 km
4||Kanpur Central (CNB)||22:12||22:17||5 min||1||437 km
5||Allahabad Jn (ALD)||00:17||00:20||3 min||2||631 km
6||Vindhyachal (BDL)||01:09||01:11||2 min||2||714 km
7||Mughal Sarai Jn (MGS)||02:20||02:40||20 min||2||784 km
8||Dildarnagar Jn (DLN)||03:20||03:22||2 min||2||842 km
9||Buxar (BXR)||03:50||03:52||2 min||2||878 km
10||Dumraon (DURE)||04:03||04:05||2 min||2||894 km
11||Bihiya (BEA)||04:26||04:28||2 min||2||925 km
12||Ara (ARA)||04:46||04:48||2 min||2||947 km
13||Danapur (DNR)||05:23||05:25||2 min||2||986 km
14||Patna Jn (PNBE)||05:55||06:05||10 min||2||996 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:
B 848.56 986.15
C 969.79 1,127.03
D 1,091.01 1,267.91
E 1,333.46 1,549.67
F 1,575.90 1,831.43
G 1,818.35 2,113.18



TEGRA_table_txt_file: table_4.txt
TEGRA_TABLE_TEXT: B 848.56 986.15
C 969.79 1,127.03
D 1,091.01 1,267.91
E 1,333.46 1,549.67
F 1,575.90 1,831.43
G 1,818.35 2,113.18
label: B||848.56||986.15
C||969.79||1,127.03
D||1,091.01||1,267.91
E||1,333.46||1,549.67
F||1,575.90||1,831.43
G||1,818.35||2,113.18
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 McLaren - Mercedes-Benz 36
3 Jordan - Mugen-Honda 16
4 Williams - Supertec 9
5 Benetton - Playlife 8
6 Stewart - Ford 6
7 Prost - Peugeot 2
8 Arrows 1



TEGRA_table_txt_file: table_9243.txt
TEGRA_TABLE_TEXT: 2 McLaren - Mercedes-Benz 36
3 Jordan - Mugen-Honda 16
4 Williams - Supertec 9
5 Benetton - Playlife 8
6 Stewart - Ford 6
7 Prost - Peugeot 2
8 Arrows 1
label: 2||McLaren - Mercedes-Benz||36
3||Jordan - Mugen-Honda||16
4||Williams - Supertec||9
5||Benetton - Playlife||8
6||Stewart - Ford||6
7||Prost - Peugeot||2
8||Arrows||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 5 Alli Ngaimoko (UGA) 0.208 21.21 Q
3 6 Louis Coiffic (MRI) 0.166 21.45 Q
4 4 Nana Samm (GHA) 0.193 21.63 q
5 7 Abdoulie Assim (GAM) 0.226 21.91 q
6 3 Neddy Marie (SEY) 0.281 22.68 



TEGRA_table_txt_file: table_1517.txt
TEGRA_TABLE_TEXT: 2 5 Alli Ngaimoko (UGA) 0.208 21.21 Q
3 6 Louis Coiffic (MRI) 0.166 21.45 Q
4 4 Nana Samm (GHA) 0.193 21.63 q
5 7 Abdoulie Assim (GAM) 0.226 21.91 q
6 3 Neddy Marie (SEY) 0.281 22.68 
label: 2||5||Alli Ngaimoko (UGA)||0.208||21.21||Q
3||6||Louis Coiffic (MRI)||0.166||21.45||Q
4||4||Nana Samm (GHA)||0.193||21.63||q
5||7||Abdoulie Assim (GAM)||0.226||21.91||q
6||3||Neddy Marie (SEY)||0.281||22.68||