MMTU-benchmark/MMTU huggingface dataset:
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
2. 82,836 2001 Miami 27 49
3. 82,565 2001 Maryland 52 31
4. 82,514 2000 Clemson 54 7
5. 82,425 2001 NC State 28 34
6. 82,269 2001 Georgia Tech 28 17
7. 81,614 1998 Florida 23 12
8. 81,120 1998 Virginia 45 14
9. 80,976 1999 Miami 31 21
10. 80,932 1996 Florida 24 21
11. 80,741 2000 Louisville 31 0
12. 80,350 1995 Miami 41 17
13. 80,340 1999 Maryland 49 10
14. 80,310 1998 Clemson 48 0
15. 80,280 2000 Duke 63 14
16. 80,237 1996 Virginia 31 24
17. 80,210 1994 Florida 31 31
18. 80,187 1999 Georgia Tech 41 35
19. 80,165 1997 Miami 47 0
20. 80,120 1996 UNC 13 0
21. 80,050 1998 UNC 39 13
22. 80,040 1999 NC State 42 11
23. 80,032 1998 Duke 62 13
24. 79,815 1998 Southern Cal. 30 10



TEGRA_table_txt_file: table_748.txt
TEGRA_TABLE_TEXT: 2. 82,836 2001 Miami 27 49
3. 82,565 2001 Maryland 52 31
4. 82,514 2000 Clemson 54 7
5. 82,425 2001 NC State 28 34
6. 82,269 2001 Georgia Tech 28 17
7. 81,614 1998 Florida 23 12
8. 81,120 1998 Virginia 45 14
9. 80,976 1999 Miami 31 21
10. 80,932 1996 Florida 24 21
11. 80,741 2000 Louisville 31 0
12. 80,350 1995 Miami 41 17
13. 80,340 1999 Maryland 49 10
14. 80,310 1998 Clemson 48 0
15. 80,280 2000 Duke 63 14
16. 80,237 1996 Virginia 31 24
17. 80,210 1994 Florida 31 31
18. 80,187 1999 Georgia Tech 41 35
19. 80,165 1997 Miami 47 0
20. 80,120 1996 UNC 13 0
21. 80,050 1998 UNC 39 13
22. 80,040 1999 NC State 42 11
23. 80,032 1998 Duke 62 13
24. 79,815 1998 Southern Cal. 30 10
label: 2.||82,836||2001||Miami||27||49
3.||82,565||2001||Maryland||52||31
4.||82,514||2000||Clemson||54||7
5.||82,425||2001||NC State||28||34
6.||82,269||2001||Georgia Tech||28||17
7.||81,614||1998||Florida||23||12
8.||81,120||1998||Virginia||45||14
9.||80,976||1999||Miami||31||21
10.||80,932||1996||Florida||24||21
11.||80,741||2000||Louisville||31||0
12.||80,350||1995||Miami||41||17
13.||80,340||1999||Maryland||49||10
14.||80,310||1998||Clemson||48||0
15.||80,280||2000||Duke||63||14
16.||80,237||1996||Virginia||31||24
17.||80,210||1994||Florida||31||31
18.||80,187||1999||Georgia Tech||41||35
19.||80,165||1997||Miami||47||0
20.||80,120||1996||UNC||13||0
21.||80,050||1998||UNC||39||13
22.||80,040||1999||NC State||42||11
23.||80,032||1998||Duke||62||13
24.||79,815||1998||Southern Cal.||30||10
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
2009 SEA 13 11 8 3 1.0 -- 1 -- -- -- -- --
2008 SEA 16 21 19 2 2.0 0 1 -- -- -- -- --
2007 SEA 16 25 19 6 0.0 -- 1 -- -- -- -- --
2006 SEA 11 14 9 5 3.0 -- 0 -- -- -- -- --
2005 SEA 16 18 12 6 2.0 -- 2 -- -- -- -- --



TEGRA_table_txt_file: table_1270.txt
TEGRA_TABLE_TEXT: 2009 SEA 13 11 8 3 1.0 -- 1 -- -- -- -- --
2008 SEA 16 21 19 2 2.0 0 1 -- -- -- -- --
2007 SEA 16 25 19 6 0.0 -- 1 -- -- -- -- --
2006 SEA 11 14 9 5 3.0 -- 0 -- -- -- -- --
2005 SEA 16 18 12 6 2.0 -- 2 -- -- -- -- --
label: 2009||SEA||13||11||8||3||1.0||--||1||--||--||--||--||--
2008||SEA||16||21||19||2||2.0||0||1||--||--||--||--||--
2007||SEA||16||25||19||6||0.0||--||1||--||--||--||--||--
2006||SEA||11||14||9||5||3.0||--||0||--||--||--||--||--
2005||SEA||16||18||12||6||2.0||--||2||--||--||--||--||--
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
1 Astonish GHOST Physical 30 100 15 30 Single exc. user abe
1 Thunder Wave ELECTRIC Status 0 100 20 0 Single exc. user bce
1 ThunderShock ELECTRIC Special 40 100 30 10 Single exc. user be
1 Confuse Ray GHOST Status 0 100 10 0 Single exc. user bce
8 Uproar NORMAL Special 50 100 10 0 Random opposing Pokémon bef
15 Double Team NORMAL Status 0 0 15 0 User d
22 Shock Wave ELECTRIC Special 60 0 20 0 Single exc. user bef
29 Ominous Wind GHOST Special 60 100 5 10 Single exc. user bef
36 Substitute NORMAL Status 0 0 10 0 User d
43 Charge ELECTRIC Status 0 0 20 0 User d



TEGRA_table_txt_file: table_3784.txt
TEGRA_TABLE_TEXT: 1 Astonish GHOST Physical 30 100 15 30 Single exc. user abe
1 Thunder Wave ELECTRIC Status 0 100 20 0 Single exc. user bce
1 ThunderShock ELECTRIC Special 40 100 30 10 Single exc. user be
1 Confuse Ray GHOST Status 0 100 10 0 Single exc. user bce
8 Uproar NORMAL Special 50 100 10 0 Random opposing Pokémon bef
15 Double Team NORMAL Status 0 0 15 0 User d
22 Shock Wave ELECTRIC Special 60 0 20 0 Single exc. user bef
29 Ominous Wind GHOST Special 60 100 5 10 Single exc. user bef
36 Substitute NORMAL Status 0 0 10 0 User d
43 Charge ELECTRIC Status 0 0 20 0 User d
label: 1||Astonish||GHOST||Physical||30||100||15||30||Single exc. user||abe
1||Thunder Wave||ELECTRIC||Status||0||100||20||0||Single exc. user||bce
1||ThunderShock||ELECTRIC||Special||40||100||30||10||Single exc. user||be
1||Confuse Ray||GHOST||Status||0||100||10||0||Single exc. user||bce
8||Uproar||NORMAL||Special||50||100||10||0||Random opposing Pokémon||bef
15||Double Team||NORMAL||Status||0||0||15||0||User||d
22||Shock Wave||ELECTRIC||Special||60||0||20||0||Single exc. user||bef
29||Ominous Wind||GHOST||Special||60||100||5||10||Single exc. user||bef
36||Substitute||NORMAL||Status||0||0||10||0||User||d
43||Charge||ELECTRIC||Status||0||0||20||0||User||d
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:
Week Date Opp. Rec Yds Lg TD
1 09/08/11 GB 0 0 0 0
2 09/18/11 CHI 1 14 14 0
3 09/25/11 HOU 0 0 0 0
4 10/02/11 JAC 0 0 0 0
5 10/09/11 CAR 0 0 0 0
6 10/16/11 TB 0 0 0 0
7 10/23/11 IND 0 0 0 0
8 10/30/11 STL 0 0 0 0
9 11/06/11 TB 0 0 0 0
10 11/13/11 ATL 0 0 0 0
12 11/28/11 NYG 0 0 0 0
13 12/04/11 DET 0 0 0 0
14 12/11/11 TEN 0 0 0 0
15 12/18/11 MIN 0 0 0 0
16 12/26/11 ATL 0 0 0 0
17 01/01/12 CAR 1 17 17 0
18 01/07/12 DET 1 7 7 0



TEGRA_table_txt_file: table_7077.txt
TEGRA_TABLE_TEXT: Week Date Opp. Rec Yds Lg TD
1 09/08/11 GB 0 0 0 0
2 09/18/11 CHI 1 14 14 0
3 09/25/11 HOU 0 0 0 0
4 10/02/11 JAC 0 0 0 0
5 10/09/11 CAR 0 0 0 0
6 10/16/11 TB 0 0 0 0
7 10/23/11 IND 0 0 0 0
8 10/30/11 STL 0 0 0 0
9 11/06/11 TB 0 0 0 0
10 11/13/11 ATL 0 0 0 0
12 11/28/11 NYG 0 0 0 0
13 12/04/11 DET 0 0 0 0
14 12/11/11 TEN 0 0 0 0
15 12/18/11 MIN 0 0 0 0
16 12/26/11 ATL 0 0 0 0
17 01/01/12 CAR 1 17 17 0
18 01/07/12 DET 1 7 7 0
label: Week||Date||Opp.||Rec||Yds||Lg||TD
1||09/08/11||GB||0||0||0||0
2||09/18/11||CHI||1||14||14||0
3||09/25/11||HOU||0||0||0||0
4||10/02/11||JAC||0||0||0||0
5||10/09/11||CAR||0||0||0||0
6||10/16/11||TB||0||0||0||0
7||10/23/11||IND||0||0||0||0
8||10/30/11||STL||0||0||0||0
9||11/06/11||TB||0||0||0||0
10||11/13/11||ATL||0||0||0||0
12||11/28/11||NYG||0||0||0||0
13||12/04/11||DET||0||0||0||0
14||12/11/11||TEN||0||0||0||0
15||12/18/11||MIN||0||0||0||0
16||12/26/11||ATL||0||0||0||0
17||01/01/12||CAR||1||17||17||0
18||01/07/12||DET||1||7||7||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:
1994 1,937,467 33,695 9th
1995 1,700,466 23,950 13th
1996 1,746,767 21,565 18th
1997 2,364,387 29,190 11th
1998 1,730,384 21,363 22nd
1999 1,369,421 16,906 28th
2000 1,218,326 15,041 15th
2001 1,261,226 15,765 29th
2002 813,118 10,038 29th
2003 1,303,215 16,089 28th
2004 1,723,105 21,539 26th
2005 1,852,608 22,871 28th
2006 1,164,134 14,372 30th
2007 1,370,511 16,919 30th
2008 1,335,076 16,482 30th
2009 1,464,109 18,075 29th
2010 1,524,894 18,826 28th



TEGRA_table_txt_file: table_8765.txt
TEGRA_TABLE_TEXT: 1994 1,937,467 33,695 9th
1995 1,700,466 23,950 13th
1996 1,746,767 21,565 18th
1997 2,364,387 29,190 11th
1998 1,730,384 21,363 22nd
1999 1,369,421 16,906 28th
2000 1,218,326 15,041 15th
2001 1,261,226 15,765 29th
2002 813,118 10,038 29th
2003 1,303,215 16,089 28th
2004 1,723,105 21,539 26th
2005 1,852,608 22,871 28th
2006 1,164,134 14,372 30th
2007 1,370,511 16,919 30th
2008 1,335,076 16,482 30th
2009 1,464,109 18,075 29th
2010 1,524,894 18,826 28th
label: 1994||1,937,467||33,695||9th
1995||1,700,466||23,950||13th
1996||1,746,767||21,565||18th
1997||2,364,387||29,190||11th
1998||1,730,384||21,363||22nd
1999||1,369,421||16,906||28th
2000||1,218,326||15,041||15th
2001||1,261,226||15,765||29th
2002||813,118||10,038||29th
2003||1,303,215||16,089||28th
2004||1,723,105||21,539||26th
2005||1,852,608||22,871||28th
2006||1,164,134||14,372||30th
2007||1,370,511||16,919||30th
2008||1,335,076||16,482||30th
2009||1,464,109||18,075||29th
2010||1,524,894||18,826||28th
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:
YEAR TEAM Lge. GP G A PTS PIM PP PPA SH SHA GWG
2013/2014 Port Colborne GOJHL 11 7 14 21 2 1 10 1 0 0
2012/2013 Port Colborne GOJHL 50 26 52 78 22 10 19 3 2 3
2011/2012 Port Colborne GOJHL 5 2 3 5 2 2 2 0 1 0
TOTALS 66 35 69 104 26 13 31 4 3 3  
PLAYOFFS            
YEAR TEAM Lge. GP G A PTS PIM PP PPA SH SHA GWG
2013 Port Colborne GOJHL 12 6 9 15 2 2 3 0 0 2
2012 Port Colborne GOJHL 17 5 4 9 0 0 0 0 0 2



TEGRA_table_txt_file: table_7967.txt
TEGRA_TABLE_TEXT: YEAR TEAM Lge. GP G A PTS PIM PP PPA SH SHA GWG
2013/2014 Port Colborne GOJHL 11 7 14 21 2 1 10 1 0 0
2012/2013 Port Colborne GOJHL 50 26 52 78 22 10 19 3 2 3
2011/2012 Port Colborne GOJHL 5 2 3 5 2 2 2 0 1 0
TOTALS 66 35 69 104 26 13 31 4 3 3  
PLAYOFFS            
YEAR TEAM Lge. GP G A PTS PIM PP PPA SH SHA GWG
2013 Port Colborne GOJHL 12 6 9 15 2 2 3 0 0 2
2012 Port Colborne GOJHL 17 5 4 9 0 0 0 0 0 2
label: YEAR||TEAM||Lge.||GP||G||A||PTS||PIM||PP||PPA||SH||SHA||GWG
2013/2014||Port Colborne||GOJHL||11||7||14||21||2||1||10||1||0||0
2012/2013||Port Colborne||GOJHL||50||26||52||78||22||10||19||3||2||3
2011/2012||Port Colborne||GOJHL||5||2||3||5||2||2||2||0||1||0
TOTALS||66||35||69||104||26||13||31||4||3||3||||
PLAYOFFS||||||||||||||||||||||||
YEAR||TEAM||Lge.||GP||G||A||PTS||PIM||PP||PPA||SH||SHA||GWG
2013||Port Colborne||GOJHL||12||6||9||15||2||2||3||0||0||2
2012||Port Colborne||GOJHL||17||5||4||9||0||0||0||0||0||2
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
2002 31 dicembre 22.282 +265 +1,20% - -
2003 31 dicembre 22.406 +124 +0,56% 8.533 2,62
2004 31 dicembre 22.561 +155 +0,69% 8.722 2,58
2005 31 dicembre 22.652 +91 +0,40% 8.786 2,57
2006 31 dicembre 22.844 +192 +0,85% 8.908 2,56
2007 31 dicembre 23.031 +187 +0,82% 9.060 2,54
2008 31 dicembre 23.114 +83 +0,36% 9.152 2,52
2009 31 dicembre 23.162 +48 +0,21% 9.211 2,51
2010 31 dicembre 23.152 -10 -0,04% 9.256 2,50
2011 (&sup1;) 8 ottobre 23.203 +51 +0,22% 9.313 2,49
2011 (&sup2;) 9 ottobre 22.315 -888 -3,83% - -
2011 31 dicembre 22.261 -54 -0,24% 9.295 2,39



TEGRA_table_txt_file: table_8391.txt
TEGRA_TABLE_TEXT: 2002 31 dicembre 22.282 +265 +1,20% - -
2003 31 dicembre 22.406 +124 +0,56% 8.533 2,62
2004 31 dicembre 22.561 +155 +0,69% 8.722 2,58
2005 31 dicembre 22.652 +91 +0,40% 8.786 2,57
2006 31 dicembre 22.844 +192 +0,85% 8.908 2,56
2007 31 dicembre 23.031 +187 +0,82% 9.060 2,54
2008 31 dicembre 23.114 +83 +0,36% 9.152 2,52
2009 31 dicembre 23.162 +48 +0,21% 9.211 2,51
2010 31 dicembre 23.152 -10 -0,04% 9.256 2,50
2011 (&sup1;) 8 ottobre 23.203 +51 +0,22% 9.313 2,49
2011 (&sup2;) 9 ottobre 22.315 -888 -3,83% - -
2011 31 dicembre 22.261 -54 -0,24% 9.295 2,39
label: 2002||31 dicembre||22.282||+265||+1,20%||-||-
2003||31 dicembre||22.406||+124||+0,56%||8.533||2,62
2004||31 dicembre||22.561||+155||+0,69%||8.722||2,58
2005||31 dicembre||22.652||+91||+0,40%||8.786||2,57
2006||31 dicembre||22.844||+192||+0,85%||8.908||2,56
2007||31 dicembre||23.031||+187||+0,82%||9.060||2,54
2008||31 dicembre||23.114||+83||+0,36%||9.152||2,52
2009||31 dicembre||23.162||+48||+0,21%||9.211||2,51
2010||31 dicembre||23.152||-10||-0,04%||9.256||2,50
2011 (&sup1;)||8 ottobre||23.203||+51||+0,22%||9.313||2,49
2011 (&sup2;)||9 ottobre||22.315||-888||-3,83%||-||-
2011||31 dicembre||22.261||-54||-0,24%||9.295||2,39
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:
Northside Elementary School K - 5 PUBLIC
Kromrey Middle School 5 - 8 PUBLIC
Middleton Alternative High School 10 - 12 PUBLIC
Middleton High School 9 - 12 PUBLIC
Sauk Trail Elementary School K - 5 PUBLIC
Elm Lawn Elementary School K - 5 PUBLIC
St Peter Catholic School K - 5 CATHOLIC
Peace Thru Christ Lutheran School K - 8 PRIVATE



TEGRA_table_txt_file: table_8570.txt
TEGRA_TABLE_TEXT: Northside Elementary School K - 5 PUBLIC
Kromrey Middle School 5 - 8 PUBLIC
Middleton Alternative High School 10 - 12 PUBLIC
Middleton High School 9 - 12 PUBLIC
Sauk Trail Elementary School K - 5 PUBLIC
Elm Lawn Elementary School K - 5 PUBLIC
St Peter Catholic School K - 5 CATHOLIC
Peace Thru Christ Lutheran School K - 8 PRIVATE
label: Northside Elementary School||K - 5||PUBLIC
Kromrey Middle School||5 - 8||PUBLIC
Middleton Alternative High School||10 - 12||PUBLIC
Middleton High School||9 - 12||PUBLIC
Sauk Trail Elementary School||K - 5||PUBLIC
Elm Lawn Elementary School||K - 5||PUBLIC
St Peter Catholic School||K - 5||CATHOLIC
Peace Thru Christ Lutheran School||K - 8||PRIVATE
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:
Miami Heat National Basketball Association American Airlines Arena (Miami) 1 (2006)
Miami Marlins Major League Baseball Marlins Park (Miami) 2 (1997, 2003)
Florida Panthers National Hockey League BankAtlantic Center (Sunrise) 0
Tampa Bay Buccaneers National Football League Raymond James Stadium (Tampa) 1 (2003)
Tampa Bay Rays Major League Baseball Tropicana Field (St. Petersburg) 0
Tampa Bay Lightning National Hockey League Tampa Bay Times Forum (Tampa) 1 (2004)
Orlando Magic National Basketball Association Amway Center (Orlando) 0



TEGRA_table_txt_file: table_2596.txt
TEGRA_TABLE_TEXT: Miami Heat National Basketball Association American Airlines Arena (Miami) 1 (2006)
Miami Marlins Major League Baseball Marlins Park (Miami) 2 (1997, 2003)
Florida Panthers National Hockey League BankAtlantic Center (Sunrise) 0
Tampa Bay Buccaneers National Football League Raymond James Stadium (Tampa) 1 (2003)
Tampa Bay Rays Major League Baseball Tropicana Field (St. Petersburg) 0
Tampa Bay Lightning National Hockey League Tampa Bay Times Forum (Tampa) 1 (2004)
Orlando Magic National Basketball Association Amway Center (Orlando) 0
label: Miami Heat||National Basketball Association||American Airlines Arena (Miami)||1 (2006)
Miami Marlins||Major League Baseball||Marlins Park (Miami)||2 (1997, 2003)
Florida Panthers||National Hockey League||BankAtlantic Center (Sunrise)||0
Tampa Bay Buccaneers||National Football League||Raymond James Stadium (Tampa)||1 (2003)
Tampa Bay Rays||Major League Baseball||Tropicana Field (St. Petersburg)||0
Tampa Bay Lightning||National Hockey League||Tampa Bay Times Forum (Tampa)||1 (2004)
Orlando Magic||National Basketball Association||Amway Center (Orlando)||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:
Lun Mar Mier Jue Vie Sáb Dom
 1 2 3 4 5 6
7 8 9 10 11 12 13
14 15 16 17 18 19 20
21 22 23 24 25 26 27



TEGRA_table_txt_file: table_4123.txt
TEGRA_TABLE_TEXT: Lun Mar Mier Jue Vie Sáb Dom
 1 2 3 4 5 6
7 8 9 10 11 12 13
14 15 16 17 18 19 20
21 22 23 24 25 26 27
label: Lun||Mar||Mier||Jue||Vie||Sáb||Dom
||1||2||3||4||5||6
7||8||9||10||11||12||13
14||15||16||17||18||19||20
21||22||23||24||25||26||27
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
25 7 6 1/2 40
25.5 7 1/2 7 41
26 8 7 1/2 42
26.5 8 1/2 8 43
27 9 8 1/2 44
27.5 9 1/2 9 45
28 10 9 1/2 46
28.5 10 1/2 10 47
29 11 10 1/2 48
29.5 11 1/2 11 49
30 12 11 1/2 50
30.5 12 1/2 12 51



TEGRA_table_txt_file: table_2969.txt
TEGRA_TABLE_TEXT: 25 7 6 1/2 40
25.5 7 1/2 7 41
26 8 7 1/2 42
26.5 8 1/2 8 43
27 9 8 1/2 44
27.5 9 1/2 9 45
28 10 9 1/2 46
28.5 10 1/2 10 47
29 11 10 1/2 48
29.5 11 1/2 11 49
30 12 11 1/2 50
30.5 12 1/2 12 51
label: 25||7||6 1/2||40
25.5||7 1/2||7||41
26||8||7 1/2||42
26.5||8 1/2||8||43
27||9||8 1/2||44
27.5||9 1/2||9||45
28||10||9 1/2||46
28.5||10 1/2||10||47
29||11||10 1/2||48
29.5||11 1/2||11||49
30||12||11 1/2||50
30.5||12 1/2||12||51
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:
132 Smoky Ct, Elizabethtown KY 1.97 Single-Family Home $265,000 07/09/13 - - -
108 Smoky Ct, Elizabethtown KY 2.01 Single-Family Home $231,500 07/24/13 4 3 1,664
109 Smoky Ct, Elizabethtown KY 2.02 Single-Family Home $251,000 06/25/13 - - -
677 Windbrook Dr, Elizabethtown KY 2.02 Single-Family Home $259,000 03/11/13 4 2.5 2,031
100 Smoky Ct, Elizabethtown KY 2.05 Single-Family Home $260,000 02/01/13 4 3 1,399
385 Dawson Rd, Radcliff KY 2.07 Single-Family Home $320,000 03/11/13 2 2 1,993
2541 Kensington Way, Elizabethtown KY 2.14 Single-Family Home $240,000 03/07/13 4 2.5 1,940
2532 Kensington Way, Elizabethtown KY 2.20 Single-Family Home $258,500 05/17/13 3 2.5 2,936



TEGRA_table_txt_file: table_6694.txt
TEGRA_TABLE_TEXT: 132 Smoky Ct, Elizabethtown KY 1.97 Single-Family Home $265,000 07/09/13 - - -
108 Smoky Ct, Elizabethtown KY 2.01 Single-Family Home $231,500 07/24/13 4 3 1,664
109 Smoky Ct, Elizabethtown KY 2.02 Single-Family Home $251,000 06/25/13 - - -
677 Windbrook Dr, Elizabethtown KY 2.02 Single-Family Home $259,000 03/11/13 4 2.5 2,031
100 Smoky Ct, Elizabethtown KY 2.05 Single-Family Home $260,000 02/01/13 4 3 1,399
385 Dawson Rd, Radcliff KY 2.07 Single-Family Home $320,000 03/11/13 2 2 1,993
2541 Kensington Way, Elizabethtown KY 2.14 Single-Family Home $240,000 03/07/13 4 2.5 1,940
2532 Kensington Way, Elizabethtown KY 2.20 Single-Family Home $258,500 05/17/13 3 2.5 2,936
label: 132 Smoky Ct, Elizabethtown KY||1.97||Single-Family Home||$265,000||07/09/13||-||-||-
108 Smoky Ct, Elizabethtown KY||2.01||Single-Family Home||$231,500||07/24/13||4||3||1,664
109 Smoky Ct, Elizabethtown KY||2.02||Single-Family Home||$251,000||06/25/13||-||-||-
677 Windbrook Dr, Elizabethtown KY||2.02||Single-Family Home||$259,000||03/11/13||4||2.5||2,031
100 Smoky Ct, Elizabethtown KY||2.05||Single-Family Home||$260,000||02/01/13||4||3||1,399
385 Dawson Rd, Radcliff KY||2.07||Single-Family Home||$320,000||03/11/13||2||2||1,993
2541 Kensington Way, Elizabethtown KY||2.14||Single-Family Home||$240,000||03/07/13||4||2.5||1,940
2532 Kensington Way, Elizabethtown KY||2.20||Single-Family Home||$258,500||05/17/13||3||2.5||2,936
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:
2002-2003 F.C. JUVENTUS A 0 -
2003-2004 F.C. JUVENTUS A 0 -
2004-2005 SALERNITANA B 39 15
2005-2006 A.S. LIVORNO A 22 2
2006-2007 F.C. JUVENTUS B 25 8
2007-2008 F.C. JUVENTUS A 26 2
2008-2009 GENOA C.F.C. A 28 3
2009-2010 GENOA C.F.C. A 25 4
2010-2011 GENOA C.F.C. A 5 -
01/2011 F.C. PARMA A 11 3
2011-2012 F.C. PARMA A 5 -
2012-2013 F.C. PARMA A 8 1



TEGRA_table_txt_file: table_1309.txt
TEGRA_TABLE_TEXT: 2002-2003 F.C. JUVENTUS A 0 -
2003-2004 F.C. JUVENTUS A 0 -
2004-2005 SALERNITANA B 39 15
2005-2006 A.S. LIVORNO A 22 2
2006-2007 F.C. JUVENTUS B 25 8
2007-2008 F.C. JUVENTUS A 26 2
2008-2009 GENOA C.F.C. A 28 3
2009-2010 GENOA C.F.C. A 25 4
2010-2011 GENOA C.F.C. A 5 -
01/2011 F.C. PARMA A 11 3
2011-2012 F.C. PARMA A 5 -
2012-2013 F.C. PARMA A 8 1
label: 2002-2003||F.C. JUVENTUS||A||0||-
2003-2004||F.C. JUVENTUS||A||0||-
2004-2005||SALERNITANA||B||39||15
2005-2006||A.S. LIVORNO||A||22||2
2006-2007||F.C. JUVENTUS||B||25||8
2007-2008||F.C. JUVENTUS||A||26||2
2008-2009||GENOA C.F.C.||A||28||3
2009-2010||GENOA C.F.C.||A||25||4
2010-2011||GENOA C.F.C.||A||5||-
01/2011||F.C. PARMA||A||11||3
2011-2012||F.C. PARMA||A||5||-
2012-2013||F.C. PARMA||A||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:
[-] [-] [-] [-] [m] [-]
2006 GVC/DECHEMA-Jahrestagungen Wiesbaden 8 28.80 500 g
2007 ProcessNet Jahrestagung Aachen 9 12.00 500 g
2008 ProcessNet Jahrestagung Karlsruhe 6 15.50 300 g
2009 ProcessNet Jahrestagung Mannheim 7 11.00 200 g
2010 ProcessNet Jahrestagung Aachen 7 16.50 30 %
2011 ECCE Berlin 10 17.00 30 %



TEGRA_table_txt_file: table_6188.txt
TEGRA_TABLE_TEXT: [-] [-] [-] [-] [m] [-]
2006 GVC/DECHEMA-Jahrestagungen Wiesbaden 8 28.80 500 g
2007 ProcessNet Jahrestagung Aachen 9 12.00 500 g
2008 ProcessNet Jahrestagung Karlsruhe 6 15.50 300 g
2009 ProcessNet Jahrestagung Mannheim 7 11.00 200 g
2010 ProcessNet Jahrestagung Aachen 7 16.50 30 %
2011 ECCE Berlin 10 17.00 30 %
label: [-]||[-]||[-]||[-]||[m]||[-]
2006||GVC/DECHEMA-Jahrestagungen||Wiesbaden||8||28.80||500 g
2007||ProcessNet Jahrestagung||Aachen||9||12.00||500 g
2008||ProcessNet Jahrestagung||Karlsruhe||6||15.50||300 g
2009||ProcessNet Jahrestagung||Mannheim||7||11.00||200 g
2010||ProcessNet Jahrestagung||Aachen||7||16.50||30 %
2011||ECCE||Berlin||10||17.00||30 %
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
R 16 BA 8 x 5 R 8
R 14 BA 8 x 5 R 8
R 13 BA 10 x 6 R 10
R 12 BA 10 x 6 R 10
R 11 BA 10 x 6 R 10
R 10 BA 14 x 6 R 14
R 9 BA 14 x 6 R 14
R 8 BA 16 x 8 R 16
R 7 BA 16 x 8 R 16
R 6 BA 16 x 8 R 16
R 5 BA 25 x 11 R 25
R 4 BA 25 x 11 R 25



TEGRA_table_txt_file: table_8834.txt
TEGRA_TABLE_TEXT: R 16 BA 8 x 5 R 8
R 14 BA 8 x 5 R 8
R 13 BA 10 x 6 R 10
R 12 BA 10 x 6 R 10
R 11 BA 10 x 6 R 10
R 10 BA 14 x 6 R 14
R 9 BA 14 x 6 R 14
R 8 BA 16 x 8 R 16
R 7 BA 16 x 8 R 16
R 6 BA 16 x 8 R 16
R 5 BA 25 x 11 R 25
R 4 BA 25 x 11 R 25
label: R 16 BA||8 x 5||R 8
R 14 BA||8 x 5||R 8
R 13 BA||10 x 6||R 10
R 12 BA||10 x 6||R 10
R 11 BA||10 x 6||R 10
R 10 BA||14 x 6||R 14
R 9 BA||14 x 6||R 14
R 8 BA||16 x 8||R 16
R 7 BA||16 x 8||R 16
R 6 BA||16 x 8||R 16
R 5 BA||25 x 11||R 25
R 4 BA||25 x 11||R 25
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:
L. Timmons 8 7 0 0 0 0 0
L. Woodley 6 6 1 1 1 1 0
R. Clark 6 5 0 0 0 0 0
B. Keisel 5 5 0 0 0 0 0
W. Gay 3 3 0 1 0 0 0
J. Harrison 3 2 0 0 0 0 0
J. Farrior 3 1 0 0 0 0 0
C. Hampton 2 1 0 0 0 0 0
A. Frazier 1 1 0 0 0 0 0
D. Sepulveda 1 1 0 0 0 0 0
I. Taylor 1 1 0 0 0 0 0
P. Bailey 1 1 0 0 0 0 0
T. Kirschke 1 1 0 0 0 0 0
A. Madison 1 1 0 0 0 0 0
D. Townsend 1 1 0 0 0 0 0
J. Burnett 1 1 0 0 0 0 0



TEGRA_table_txt_file: table_7087.txt
TEGRA_TABLE_TEXT: L. Timmons 8 7 0 0 0 0 0
L. Woodley 6 6 1 1 1 1 0
R. Clark 6 5 0 0 0 0 0
B. Keisel 5 5 0 0 0 0 0
W. Gay 3 3 0 1 0 0 0
J. Harrison 3 2 0 0 0 0 0
J. Farrior 3 1 0 0 0 0 0
C. Hampton 2 1 0 0 0 0 0
A. Frazier 1 1 0 0 0 0 0
D. Sepulveda 1 1 0 0 0 0 0
I. Taylor 1 1 0 0 0 0 0
P. Bailey 1 1 0 0 0 0 0
T. Kirschke 1 1 0 0 0 0 0
A. Madison 1 1 0 0 0 0 0
D. Townsend 1 1 0 0 0 0 0
J. Burnett 1 1 0 0 0 0 0
label: L. Timmons||8||7||0||0||0||0||0
L. Woodley||6||6||1||1||1||1||0
R. Clark||6||5||0||0||0||0||0
B. Keisel||5||5||0||0||0||0||0
W. Gay||3||3||0||1||0||0||0
J. Harrison||3||2||0||0||0||0||0
J. Farrior||3||1||0||0||0||0||0
C. Hampton||2||1||0||0||0||0||0
A. Frazier||1||1||0||0||0||0||0
D. Sepulveda||1||1||0||0||0||0||0
I. Taylor||1||1||0||0||0||0||0
P. Bailey||1||1||0||0||0||0||0
T. Kirschke||1||1||0||0||0||0||0
A. Madison||1||1||0||0||0||0||0
D. Townsend||1||1||0||0||0||0||0
J. Burnett||1||1||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:
72 Disability Producer 2 hours $49
73 Property Producer 2 hours $49
74 Casualty Producer 2 hours $49
05 Life & Disability Producer Combo 3.5 hours $66
06 Property & Casualty Combo 3.5 hours $66
55 Personal Lines 2 hours $49
14 Credit 1 hour $49
12 Surety 45 min. $49
31 Adjuster 1 hour $49
33 Crop Adjuster 1 hour $49



TEGRA_table_txt_file: table_6695.txt
TEGRA_TABLE_TEXT: 72 Disability Producer 2 hours $49
73 Property Producer 2 hours $49
74 Casualty Producer 2 hours $49
05 Life & Disability Producer Combo 3.5 hours $66
06 Property & Casualty Combo 3.5 hours $66
55 Personal Lines 2 hours $49
14 Credit 1 hour $49
12 Surety 45 min. $49
31 Adjuster 1 hour $49
33 Crop Adjuster 1 hour $49
label: 72||Disability Producer||2 hours||$49
73||Property Producer||2 hours||$49
74||Casualty Producer||2 hours||$49
05||Life & Disability Producer Combo||3.5 hours||$66
06||Property & Casualty Combo||3.5 hours||$66
55||Personal Lines||2 hours||$49
14||Credit||1 hour||$49
12||Surety||45 min.||$49
31||Adjuster||1 hour||$49
33||Crop Adjuster||1 hour||$49
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 Rennes 40 23 9
3 Olympique de Marseille 39 23 13
4 Paris-SG 38 23 10
5 Lyon 38 23 10
6 St Etienne 35 23 4
7 Montpellier Hérault SC 34 23 -3
8 Toulouse 33 23 1
9 Bordeaux 31 23 3
10 Stade Brestois 29 31 23 -1
11 Lorient 31 23 -3
12 Valenciennes 29 23 3
13 Sochaux 28 23 7
14 Nancy 28 23 -9
15 Caen 27 23 -8
16 Nice 26 23 -9
17 Auxerre 25 23 -1
18 Monaco 24 23 -1
19 RC Lens 24 23 -13



TEGRA_table_txt_file: table_3346.txt
TEGRA_TABLE_TEXT: 2 Rennes 40 23 9
3 Olympique de Marseille 39 23 13
4 Paris-SG 38 23 10
5 Lyon 38 23 10
6 St Etienne 35 23 4
7 Montpellier Hérault SC 34 23 -3
8 Toulouse 33 23 1
9 Bordeaux 31 23 3
10 Stade Brestois 29 31 23 -1
11 Lorient 31 23 -3
12 Valenciennes 29 23 3
13 Sochaux 28 23 7
14 Nancy 28 23 -9
15 Caen 27 23 -8
16 Nice 26 23 -9
17 Auxerre 25 23 -1
18 Monaco 24 23 -1
19 RC Lens 24 23 -13
label: 2||Rennes||40||23||9
3||Olympique de Marseille||39||23||13
4||Paris-SG||38||23||10
5||Lyon||38||23||10
6||St Etienne||35||23||4
7||Montpellier Hérault SC||34||23||-3
8||Toulouse||33||23||1
9||Bordeaux||31||23||3
10||Stade Brestois 29||31||23||-1
11||Lorient||31||23||-3
12||Valenciennes||29||23||3
13||Sochaux||28||23||7
14||Nancy||28||23||-9
15||Caen||27||23||-8
16||Nice||26||23||-9
17||Auxerre||25||23||-1
18||Monaco||24||23||-1
19||RC Lens||24||23||-13
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
2 De Treffers 8 5 3 0 18 21 7
3 AFC 8 6 0 2 18 19 8
4 EVV 8 5 2 1 17 16 7
5 HSC '21 8 4 1 3 13 22 18
6 JVC Cuijk 8 4 1 3 13 16 12
7 ADO '20 8 3 2 3 11 16 10
8 VVSB 8 3 2 3 11 12 11
9 HBS 8 3 1 4 10 15 15
10 Chabab 8 3 0 5 9 15 21
11 UNA/Brinvast 8 2 2 4 8 10 14
12 Lienden 8 2 2 4 8 5 13
13 Juliana '31 8 2 2 4 8 10 23
14 Haaglandia/Sir W. 8 2 1 5 7 11 26
15 Be Quick 1887 8 1 2 5 5 14 20



TEGRA_table_txt_file: table_1089.txt
TEGRA_TABLE_TEXT: 2 De Treffers 8 5 3 0 18 21 7
3 AFC 8 6 0 2 18 19 8
4 EVV 8 5 2 1 17 16 7
5 HSC '21 8 4 1 3 13 22 18
6 JVC Cuijk 8 4 1 3 13 16 12
7 ADO '20 8 3 2 3 11 16 10
8 VVSB 8 3 2 3 11 12 11
9 HBS 8 3 1 4 10 15 15
10 Chabab 8 3 0 5 9 15 21
11 UNA/Brinvast 8 2 2 4 8 10 14
12 Lienden 8 2 2 4 8 5 13
13 Juliana '31 8 2 2 4 8 10 23
14 Haaglandia/Sir W. 8 2 1 5 7 11 26
15 Be Quick 1887 8 1 2 5 5 14 20
label: 2||De Treffers||8||5||3||0||18||21||7
3||AFC||8||6||0||2||18||19||8
4||EVV||8||5||2||1||17||16||7
5||HSC '21||8||4||1||3||13||22||18
6||JVC Cuijk||8||4||1||3||13||16||12
7||ADO '20||8||3||2||3||11||16||10
8||VVSB||8||3||2||3||11||12||11
9||HBS||8||3||1||4||10||15||15
10||Chabab||8||3||0||5||9||15||21
11||UNA/Brinvast||8||2||2||4||8||10||14
12||Lienden||8||2||2||4||8||5||13
13||Juliana '31||8||2||2||4||8||10||23
14||Haaglandia/Sir W.||8||2||1||5||7||11||26
15||Be Quick 1887||8||1||2||5||5||14||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:
ZIP Code 77502 713/281 Central General 37,995
ZIP Code 77503 281/713 Central General 24,251
ZIP Code 77504 713/281 Central General 24,529
ZIP Code 77505 281/713 Central General 23,223
ZIP Code 77506 713/281 Central General 35,977
ZIP Code 77507 281/713 Central General 0



TEGRA_table_txt_file: table_2990.txt
TEGRA_TABLE_TEXT: ZIP Code 77502 713/281 Central General 37,995
ZIP Code 77503 281/713 Central General 24,251
ZIP Code 77504 713/281 Central General 24,529
ZIP Code 77505 281/713 Central General 23,223
ZIP Code 77506 713/281 Central General 35,977
ZIP Code 77507 281/713 Central General 0
label: ZIP Code 77502||713/281||Central||General||37,995
ZIP Code 77503||281/713||Central||General||24,251
ZIP Code 77504||713/281||Central||General||24,529
ZIP Code 77505||281/713||Central||General||23,223
ZIP Code 77506||713/281||Central||General||35,977
ZIP Code 77507||281/713||Central||General||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 FC Honka 58 32 13
3 VPS Vaasa 51 32 5
4 IFK Mariehamn 46 32 -8
5 FC Lahti 45 32 -3
6 MyPa 44 32 2
7 KuPS Kuopio 41 32 3
8 TPS Turku 41 32 -3
9 International Turku 40 32 -6
10 RoPS Rovaniemi 34 32 -9
11 FF Jaro 34 32 -11
12 JJK Jyvaskyla 22 32 -34



TEGRA_table_txt_file: table_5342.txt
TEGRA_TABLE_TEXT: 2 FC Honka 58 32 13
3 VPS Vaasa 51 32 5
4 IFK Mariehamn 46 32 -8
5 FC Lahti 45 32 -3
6 MyPa 44 32 2
7 KuPS Kuopio 41 32 3
8 TPS Turku 41 32 -3
9 International Turku 40 32 -6
10 RoPS Rovaniemi 34 32 -9
11 FF Jaro 34 32 -11
12 JJK Jyvaskyla 22 32 -34
label: 2||FC Honka||58||32||13
3||VPS Vaasa||51||32||5
4||IFK Mariehamn||46||32||-8
5||FC Lahti||45||32||-3
6||MyPa||44||32||2
7||KuPS Kuopio||41||32||3
8||TPS Turku||41||32||-3
9||International Turku||40||32||-6
10||RoPS Rovaniemi||34||32||-9
11||FF Jaro||34||32||-11
12||JJK Jyvaskyla||22||32||-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 Trojan.Win32.Generic 24,70 Prozent
3 Net-Worm.Win32.Kido.ir 14,72 Prozent
4 Virus.Win32.Sality.aa 6,43 Prozent
5 Virus.Win32.Sality.bh 4,70 Prozent
6 Net-Worm.Win32.Kido.ih 4,68 Prozent
7 Hoax.Win32.Screensaver.b 4,48 Prozent
8 HackTool.Win32.Kiser.zv 4,43 Prozent
9 Hoax.Win32.ArchSMS.heur 4,08 Prozent
10 Worm.Win32.Generic 3,36 Prozent
11 Trojan.JS.Agent.bhr 3,32 Prozent
12 AdWare.Win32.HotBar.dh 3,28 Prozent
13 Packed.Win32.Katusha.o 2,99 Prozent
14 Hoax.Win32.ArchSMS.pxm 2,91 Prozent
15 Trojan.Script.Iframer 2,80 Prozent
16 Worm.Win32.FlyStudio.cu 2,74 Prozent
17 HackTool.Win32.Kiser.il 2,50 Prozent
18 Trojan-Downloader.Win32.Geral.cnh 2,11 Prozent
19 Trojan-Downloader.Win32.VB.eql 2,04 Prozent



TEGRA_table_txt_file: table_7741.txt
TEGRA_TABLE_TEXT: 2 Trojan.Win32.Generic 24,70 Prozent
3 Net-Worm.Win32.Kido.ir 14,72 Prozent
4 Virus.Win32.Sality.aa 6,43 Prozent
5 Virus.Win32.Sality.bh 4,70 Prozent
6 Net-Worm.Win32.Kido.ih 4,68 Prozent
7 Hoax.Win32.Screensaver.b 4,48 Prozent
8 HackTool.Win32.Kiser.zv 4,43 Prozent
9 Hoax.Win32.ArchSMS.heur 4,08 Prozent
10 Worm.Win32.Generic 3,36 Prozent
11 Trojan.JS.Agent.bhr 3,32 Prozent
12 AdWare.Win32.HotBar.dh 3,28 Prozent
13 Packed.Win32.Katusha.o 2,99 Prozent
14 Hoax.Win32.ArchSMS.pxm 2,91 Prozent
15 Trojan.Script.Iframer 2,80 Prozent
16 Worm.Win32.FlyStudio.cu 2,74 Prozent
17 HackTool.Win32.Kiser.il 2,50 Prozent
18 Trojan-Downloader.Win32.Geral.cnh 2,11 Prozent
19 Trojan-Downloader.Win32.VB.eql 2,04 Prozent
label: 2||Trojan.Win32.Generic||24,70 Prozent
3||Net-Worm.Win32.Kido.ir||14,72 Prozent
4||Virus.Win32.Sality.aa||6,43 Prozent
5||Virus.Win32.Sality.bh||4,70 Prozent
6||Net-Worm.Win32.Kido.ih||4,68 Prozent
7||Hoax.Win32.Screensaver.b||4,48 Prozent
8||HackTool.Win32.Kiser.zv||4,43 Prozent
9||Hoax.Win32.ArchSMS.heur||4,08 Prozent
10||Worm.Win32.Generic||3,36 Prozent
11||Trojan.JS.Agent.bhr||3,32 Prozent
12||AdWare.Win32.HotBar.dh||3,28 Prozent
13||Packed.Win32.Katusha.o||2,99 Prozent
14||Hoax.Win32.ArchSMS.pxm||2,91 Prozent
15||Trojan.Script.Iframer||2,80 Prozent
16||Worm.Win32.FlyStudio.cu||2,74 Prozent
17||HackTool.Win32.Kiser.il||2,50 Prozent
18||Trojan-Downloader.Win32.Geral.cnh||2,11 Prozent
19||Trojan-Downloader.Win32.VB.eql||2,04 Prozent
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:
2e Servette FC 35 26 14 7 5 57 45 +12
3e Lausanne-Sports 32 26 12 8 6 72 46 +26
4e FC La Chaux-de-Fonds 31 26 12 7 7 53 42 +11
5e BSC Young Boys 29 26 11 7 8 72 47 +25
6e FC Bâle 27 26 10 7 9 64 57 +7
7e Grasshopper Zürich 27 26 11 5 10 55 54 +1
8e FC Sion 26 26 9 8 9 36 36 0
9e FC Lugano 22 26 6 10 10 27 37 -10
10e FC Bienne 22 26 6 10 10 38 56 -18
11e FC Granges 22 26 8 6 12 42 65 -23
12e Young Fellows Zurich 21 26 7 7 12 46 62 -16
13e FC Lucerne 18 26 4 10 12 36 56 -20



TEGRA_table_txt_file: table_6295.txt
TEGRA_TABLE_TEXT: 2e Servette FC 35 26 14 7 5 57 45 +12
3e Lausanne-Sports 32 26 12 8 6 72 46 +26
4e FC La Chaux-de-Fonds 31 26 12 7 7 53 42 +11
5e BSC Young Boys 29 26 11 7 8 72 47 +25
6e FC Bâle 27 26 10 7 9 64 57 +7
7e Grasshopper Zürich 27 26 11 5 10 55 54 +1
8e FC Sion 26 26 9 8 9 36 36 0
9e FC Lugano 22 26 6 10 10 27 37 -10
10e FC Bienne 22 26 6 10 10 38 56 -18
11e FC Granges 22 26 8 6 12 42 65 -23
12e Young Fellows Zurich 21 26 7 7 12 46 62 -16
13e FC Lucerne 18 26 4 10 12 36 56 -20
label: 2e||Servette FC||35||26||14||7||5||57||45||+12
3e||Lausanne-Sports||32||26||12||8||6||72||46||+26
4e||FC La Chaux-de-Fonds||31||26||12||7||7||53||42||+11
5e||BSC Young Boys||29||26||11||7||8||72||47||+25
6e||FC Bâle||27||26||10||7||9||64||57||+7
7e||Grasshopper Zürich||27||26||11||5||10||55||54||+1
8e||FC Sion||26||26||9||8||9||36||36||0
9e||FC Lugano||22||26||6||10||10||27||37||-10
10e||FC Bienne||22||26||6||10||10||38||56||-18
11e||FC Granges||22||26||8||6||12||42||65||-23
12e||Young Fellows Zurich||21||26||7||7||12||46||62||-16
13e||FC Lucerne||18||26||4||10||12||36||56||-20