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:
School 52-Frank Fowler Dow K - 6 PUBLIC
St. John Neumann School K - 6 CATHOLIC
Laurelton-Pardee Intermediate School K - 5 PUBLIC
East Irondequoit Middle School 5 - 8 PUBLIC
Northeast College Preparatory High School 7 - 12 PUBLIC
Northwest College Preparatory High School 7 - 12 PUBLIC
School 46-Charles Carroll K - 6 PUBLIC
Urban Choice Charter School K - 8 PUBLIC



TEGRA_table_txt_file: table_8801.txt
TEGRA_TABLE_TEXT: School 52-Frank Fowler Dow K - 6 PUBLIC
St. John Neumann School K - 6 CATHOLIC
Laurelton-Pardee Intermediate School K - 5 PUBLIC
East Irondequoit Middle School 5 - 8 PUBLIC
Northeast College Preparatory High School 7 - 12 PUBLIC
Northwest College Preparatory High School 7 - 12 PUBLIC
School 46-Charles Carroll K - 6 PUBLIC
Urban Choice Charter School K - 8 PUBLIC
label: School 52-Frank Fowler Dow||K - 6||PUBLIC
St. John Neumann School||K - 6||CATHOLIC
Laurelton-Pardee Intermediate School||K - 5||PUBLIC
East Irondequoit Middle School||5 - 8||PUBLIC
Northeast College Preparatory High School||7 - 12||PUBLIC
Northwest College Preparatory High School||7 - 12||PUBLIC
School 46-Charles Carroll||K - 6||PUBLIC
Urban Choice Charter School||K - 8||PUBLIC
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:
Chicago Oak Park 10 16.09
Chicago Bedford Park 11 17.7
Chicago Evanston 11 17.7
Chicago River Grove 12 19.31
Chicago Burbank 13 20.92
Chicago Skokie 13 20.92
Chicago Bedford Falls 14 22.53
Chicago Franklin Park 14 22.53
Chicago Melrose Park 14 22.53
Chicago Morton Grove 14 22.53



TEGRA_table_txt_file: table_9974.txt
TEGRA_TABLE_TEXT: Chicago Oak Park 10 16.09
Chicago Bedford Park 11 17.7
Chicago Evanston 11 17.7
Chicago River Grove 12 19.31
Chicago Burbank 13 20.92
Chicago Skokie 13 20.92
Chicago Bedford Falls 14 22.53
Chicago Franklin Park 14 22.53
Chicago Melrose Park 14 22.53
Chicago Morton Grove 14 22.53
label: Chicago||Oak Park||10||16.09
Chicago||Bedford Park||11||17.7
Chicago||Evanston||11||17.7
Chicago||River Grove||12||19.31
Chicago||Burbank||13||20.92
Chicago||Skokie||13||20.92
Chicago||Bedford Falls||14||22.53
Chicago||Franklin Park||14||22.53
Chicago||Melrose Park||14||22.53
Chicago||Morton Grove||14||22.53
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:
10325 Kendal Ave, Yukon OK 0.06 Single-Family Home $126,000 09/25/13 3 2 1,804
1515 Edinburg Dr, Yukon OK 0.15 Single-Family Home $117,500 03/22/13 3 1.5 1,432
1400 Danbury Pl, Yukon OK 0.18 Single-Family Home $115,000 03/04/13 3 1.5 1,360
10453 Glascow Dr, Yukon OK 0.18 Single-Family Home $125,000 07/24/13 3 2 1,556
10204 Kendal Ct, Yukon OK 0.20 Single-Family Home $151,000 02/04/13 3 2 2,137
10424 Fairfax Ln, Yukon OK 0.22 Single-Family Home $127,000 09/24/13 3 2 1,429
1913 Norwich Cir, Yukon OK 0.23 Single-Family Home $130,000 08/19/13 3 2 1,720
10433 Fairfax Ln, Yukon OK 0.24 Single-Family Home $124,500 08/02/13 3 2 1,556



TEGRA_table_txt_file: table_2580.txt
TEGRA_TABLE_TEXT: 10325 Kendal Ave, Yukon OK 0.06 Single-Family Home $126,000 09/25/13 3 2 1,804
1515 Edinburg Dr, Yukon OK 0.15 Single-Family Home $117,500 03/22/13 3 1.5 1,432
1400 Danbury Pl, Yukon OK 0.18 Single-Family Home $115,000 03/04/13 3 1.5 1,360
10453 Glascow Dr, Yukon OK 0.18 Single-Family Home $125,000 07/24/13 3 2 1,556
10204 Kendal Ct, Yukon OK 0.20 Single-Family Home $151,000 02/04/13 3 2 2,137
10424 Fairfax Ln, Yukon OK 0.22 Single-Family Home $127,000 09/24/13 3 2 1,429
1913 Norwich Cir, Yukon OK 0.23 Single-Family Home $130,000 08/19/13 3 2 1,720
10433 Fairfax Ln, Yukon OK 0.24 Single-Family Home $124,500 08/02/13 3 2 1,556
label: 10325 Kendal Ave, Yukon OK||0.06||Single-Family Home||$126,000||09/25/13||3||2||1,804
1515 Edinburg Dr, Yukon OK||0.15||Single-Family Home||$117,500||03/22/13||3||1.5||1,432
1400 Danbury Pl, Yukon OK||0.18||Single-Family Home||$115,000||03/04/13||3||1.5||1,360
10453 Glascow Dr, Yukon OK||0.18||Single-Family Home||$125,000||07/24/13||3||2||1,556
10204 Kendal Ct, Yukon OK||0.20||Single-Family Home||$151,000||02/04/13||3||2||2,137
10424 Fairfax Ln, Yukon OK||0.22||Single-Family Home||$127,000||09/24/13||3||2||1,429
1913 Norwich Cir, Yukon OK||0.23||Single-Family Home||$130,000||08/19/13||3||2||1,720
10433 Fairfax Ln, Yukon OK||0.24||Single-Family Home||$124,500||08/02/13||3||2||1,556
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:
X > 60% 60 50 40 30 25 15 10 0
45% < X < 60% 40 35 35 30 25 15 10 0
35% < X < 45% 35 30 30 25 20 15 5 0
30% < X < 35% 30 25 25 20 17 10 5 0
25% < X < 30% 25 20 20 15 15 10 5 0
20% < X < 25% 20 20 15 15 15 10 0-5 0
15% < X < 20% 15 15 10 10 10 5 0-5 0
10% < X < 15% 10 10 10 10 8 5 0-5 0
7% < X < 10% 7 7 7 7 5 5 0-5 0
5% < X < 7% 5 5 5 5 5 5 0-5 0



TEGRA_table_txt_file: table_9883.txt
TEGRA_TABLE_TEXT: X > 60% 60 50 40 30 25 15 10 0
45% < X < 60% 40 35 35 30 25 15 10 0
35% < X < 45% 35 30 30 25 20 15 5 0
30% < X < 35% 30 25 25 20 17 10 5 0
25% < X < 30% 25 20 20 15 15 10 5 0
20% < X < 25% 20 20 15 15 15 10 0-5 0
15% < X < 20% 15 15 10 10 10 5 0-5 0
10% < X < 15% 10 10 10 10 8 5 0-5 0
7% < X < 10% 7 7 7 7 5 5 0-5 0
5% < X < 7% 5 5 5 5 5 5 0-5 0
label: X > 60%||60||50||40||30||25||15||10||0
45% < X < 60%||40||35||35||30||25||15||10||0
35% < X < 45%||35||30||30||25||20||15||5||0
30% < X < 35%||30||25||25||20||17||10||5||0
25% < X < 30%||25||20||20||15||15||10||5||0
20% < X < 25%||20||20||15||15||15||10||0-5||0
15% < X < 20%||15||15||10||10||10||5||0-5||0
10% < X < 15%||10||10||10||10||8||5||0-5||0
7% < X < 10%||7||7||7||7||5||5||0-5||0
5% < X < 7%||5||5||5||5||5||5||0-5||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:
B 999.80 986.15
C 1,142.63 1,127.03
D 1,285.46 1,267.91
E 1,571.12 1,549.67
F 1,856.78 1,831.43
G 2,142.43 2,113.18



TEGRA_table_txt_file: table_9902.txt
TEGRA_TABLE_TEXT: B 999.80 986.15
C 1,142.63 1,127.03
D 1,285.46 1,267.91
E 1,571.12 1,549.67
F 1,856.78 1,831.43
G 2,142.43 2,113.18
label: B||999.80||986.15
C||1,142.63||1,127.03
D||1,285.46||1,267.91
E||1,571.12||1,549.67
F||1,856.78||1,831.43
G||2,142.43||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:
2nd 5 + Bonus R 72,637 6
3rd 5 R 3,798 104
4th 4 + Bonus R 976 342
5th 4 R 81 5,351
6th 3 + Bonus R 56 7,781



TEGRA_table_txt_file: table_82.txt
TEGRA_TABLE_TEXT: 2nd 5 + Bonus R 72,637 6
3rd 5 R 3,798 104
4th 4 + Bonus R 976 342
5th 4 R 81 5,351
6th 3 + Bonus R 56 7,781
label: 2nd||5 + Bonus||R 72,637||6
3rd||5||R 3,798||104
4th||4 + Bonus||R 976||342
5th||4||R 81||5,351
6th||3 + Bonus||R 56||7,781
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:
Abgegebene 1.069 75,5 % 1.211 83,8 % -142 -8,3 %
Ungültige 27 2,5 % 23 1,9 % +4 +0,6 %
Gültige 1.042 97,5 % 1.188 98,1 % -146 -0,6 %
Davon entfielen auf die Parteien      
SPÖ 365 35,0 % 524 44,1 % -159 -9,1 %
ÖVP 408 39,2 % 433 36,4 % -25 +2,7 %
FPÖ 163 15,6 % 143 12,0 % +20 +3,6 %
BZÖ 19 1,8 % 44 3,7 % -25 -1,9 %
GRÜNE 22 2,1 % 27 2,3 % -5 -0,2 %
FRANK 34 3,3 %  n.t.  n.t.
NEOS 19 1,8 %  n.t.  n.t.
KPÖ 2 0,2 % 2 0,2 % +0 +0,0 %
PIRAT 5 0,5 %  n.t.  n.t.



TEGRA_table_txt_file: table_4870.txt
TEGRA_TABLE_TEXT: Abgegebene 1.069 75,5 % 1.211 83,8 % -142 -8,3 %
Ungültige 27 2,5 % 23 1,9 % +4 +0,6 %
Gültige 1.042 97,5 % 1.188 98,1 % -146 -0,6 %
Davon entfielen auf die Parteien      
SPÖ 365 35,0 % 524 44,1 % -159 -9,1 %
ÖVP 408 39,2 % 433 36,4 % -25 +2,7 %
FPÖ 163 15,6 % 143 12,0 % +20 +3,6 %
BZÖ 19 1,8 % 44 3,7 % -25 -1,9 %
GRÜNE 22 2,1 % 27 2,3 % -5 -0,2 %
FRANK 34 3,3 %  n.t.  n.t.
NEOS 19 1,8 %  n.t.  n.t.
KPÖ 2 0,2 % 2 0,2 % +0 +0,0 %
PIRAT 5 0,5 %  n.t.  n.t.
label: Abgegebene||1.069||75,5 %||1.211||83,8 %||-142||-8,3 %
Ungültige||27||2,5 %||23||1,9 %||+4||+0,6 %
Gültige||1.042||97,5 %||1.188||98,1 %||-146||-0,6 %
Davon entfielen auf die Parteien||||||||||||
SPÖ||365||35,0 %||524||44,1 %||-159||-9,1 %
ÖVP||408||39,2 %||433||36,4 %||-25||+2,7 %
FPÖ||163||15,6 %||143||12,0 %||+20||+3,6 %
BZÖ||19||1,8 %||44||3,7 %||-25||-1,9 %
GRÜNE||22||2,1 %||27||2,3 %||-5||-0,2 %
FRANK||34||3,3 %||||n.t.||||n.t.
NEOS||19||1,8 %||||n.t.||||n.t.
KPÖ||2||0,2 %||2||0,2 %||+0||+0,0 %
PIRAT||5||0,5 %||||n.t.||||n.t.
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 RKSK 10 6 3 1 24-11 13 21
3 Gyulai Termál FC 10 6 1 3 22-14 8 19
4 Budapest Honvéd-MFA 10 6 1 3 25-20 5 19
5 Szeged 2011 Grosics Akadémia 10 5 4 1 23-14 9 19
6 Videoton FC II 10 4 5 1 17-13 4 17
7 Dunaharaszti MTK 10 4 4 2 17-10 7 16
8 TOLLE UFC Szekszárd 10 4 3 3 16-13 3 15
9 Orosháza FC 10 4 2 4 15-19 -4 14
10 Monor SE 10 3 3 4 14-17 -3 12
11 Bajai LSE 10 3 2 5 11-18 -7 11
12 Maglódi TC 10 2 3 5 14-24 -10 9
13 ESMTK 10 2 2 6 16-23 -7 8
14 FC Dabas 10 2 2 6 14-23 -9 8
15 Bölcskei SE 10 1 3 6 16-20 -4 6



TEGRA_table_txt_file: table_6238.txt
TEGRA_TABLE_TEXT: 2 RKSK 10 6 3 1 24-11 13 21
3 Gyulai Termál FC 10 6 1 3 22-14 8 19
4 Budapest Honvéd-MFA 10 6 1 3 25-20 5 19
5 Szeged 2011 Grosics Akadémia 10 5 4 1 23-14 9 19
6 Videoton FC II 10 4 5 1 17-13 4 17
7 Dunaharaszti MTK 10 4 4 2 17-10 7 16
8 TOLLE UFC Szekszárd 10 4 3 3 16-13 3 15
9 Orosháza FC 10 4 2 4 15-19 -4 14
10 Monor SE 10 3 3 4 14-17 -3 12
11 Bajai LSE 10 3 2 5 11-18 -7 11
12 Maglódi TC 10 2 3 5 14-24 -10 9
13 ESMTK 10 2 2 6 16-23 -7 8
14 FC Dabas 10 2 2 6 14-23 -9 8
15 Bölcskei SE 10 1 3 6 16-20 -4 6
label: 2||RKSK||10||6||3||1||24-11||13||21
3||Gyulai Termál FC||10||6||1||3||22-14||8||19
4||Budapest Honvéd-MFA||10||6||1||3||25-20||5||19
5||Szeged 2011 Grosics Akadémia||10||5||4||1||23-14||9||19
6||Videoton FC II||10||4||5||1||17-13||4||17
7||Dunaharaszti MTK||10||4||4||2||17-10||7||16
8||TOLLE UFC Szekszárd||10||4||3||3||16-13||3||15
9||Orosháza FC||10||4||2||4||15-19||-4||14
10||Monor SE||10||3||3||4||14-17||-3||12
11||Bajai LSE||10||3||2||5||11-18||-7||11
12||Maglódi TC||10||2||3||5||14-24||-10||9
13||ESMTK||10||2||2||6||16-23||-7||8
14||FC Dabas||10||2||2||6||14-23||-9||8
15||Bölcskei SE||10||1||3||6||16-20||-4||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:
20151 Bank Austria Klosterneuburg-Niedermarkt (UniCredit) Niedermarkt 21 3400 Klosterneuburg
20111 Erste Bank Klosterneuburg Niedermarkt Niedermarkt 24 3400 Klosterneuburg
43000 Volksbank Klosterneuburg - Stadtplatz Stadtplatz 11 3400 Klosterneuburg
15151 Oberbank Klosterneuburg Kierlinger Straße 1 3400 Klosterneuburg
32367 Raiffeisenbank Klosterneuburg Rathausplatz 7 3400 Klosterneuburg
14000 PSK Klosterneuburg Leopoldstraße 21 3400 Klosterneuburg
43000 Volksbank Klosterneuburg - Weidlinger Straße Weidlinger Straße 2 3400 Klosterneuburg



TEGRA_table_txt_file: table_2932.txt
TEGRA_TABLE_TEXT: 20151 Bank Austria Klosterneuburg-Niedermarkt (UniCredit) Niedermarkt 21 3400 Klosterneuburg
20111 Erste Bank Klosterneuburg Niedermarkt Niedermarkt 24 3400 Klosterneuburg
43000 Volksbank Klosterneuburg - Stadtplatz Stadtplatz 11 3400 Klosterneuburg
15151 Oberbank Klosterneuburg Kierlinger Straße 1 3400 Klosterneuburg
32367 Raiffeisenbank Klosterneuburg Rathausplatz 7 3400 Klosterneuburg
14000 PSK Klosterneuburg Leopoldstraße 21 3400 Klosterneuburg
43000 Volksbank Klosterneuburg - Weidlinger Straße Weidlinger Straße 2 3400 Klosterneuburg
label: 20151||Bank Austria Klosterneuburg-Niedermarkt (UniCredit)||Niedermarkt 21||3400||Klosterneuburg
20111||Erste Bank Klosterneuburg Niedermarkt||Niedermarkt 24||3400||Klosterneuburg
43000||Volksbank Klosterneuburg - Stadtplatz||Stadtplatz 11||3400||Klosterneuburg
15151||Oberbank Klosterneuburg||Kierlinger Straße 1||3400||Klosterneuburg
32367||Raiffeisenbank Klosterneuburg||Rathausplatz 7||3400||Klosterneuburg
14000||PSK Klosterneuburg||Leopoldstraße 21||3400||Klosterneuburg
43000||Volksbank Klosterneuburg - Weidlinger Straße||Weidlinger Straße 2||3400||Klosterneuburg
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:
287721 ACRILAC ROJO FUEGO 1/1 Pintuco $0
287731 ACRILAC ROJO PUNZO 1/1 Pintuco $0
287751 ACRILAC BLANCO SEVRES 1/1 Pintuco $0
287771 ACRILAC BLANCO CRISTAL 1/1 Pintuco $0
287781 ACRILAC AZUL INDIGO 1/1 Pintuco $0
287791 ACRILAC ROJO STRATO 1/1 Pintuco $0
287831 ACRILAC SILICE TORNADO 1/1 Pintuco $0



TEGRA_table_txt_file: table_5609.txt
TEGRA_TABLE_TEXT: 287721 ACRILAC ROJO FUEGO 1/1 Pintuco $0
287731 ACRILAC ROJO PUNZO 1/1 Pintuco $0
287751 ACRILAC BLANCO SEVRES 1/1 Pintuco $0
287771 ACRILAC BLANCO CRISTAL 1/1 Pintuco $0
287781 ACRILAC AZUL INDIGO 1/1 Pintuco $0
287791 ACRILAC ROJO STRATO 1/1 Pintuco $0
287831 ACRILAC SILICE TORNADO 1/1 Pintuco $0
label: 287721||ACRILAC ROJO FUEGO 1/1||Pintuco||$0
287731||ACRILAC ROJO PUNZO 1/1||Pintuco||$0
287751||ACRILAC BLANCO SEVRES 1/1||Pintuco||$0
287771||ACRILAC BLANCO CRISTAL 1/1||Pintuco||$0
287781||ACRILAC AZUL INDIGO 1/1||Pintuco||$0
287791||ACRILAC ROJO STRATO 1/1||Pintuco||$0
287831||ACRILAC SILICE TORNADO 1/1||Pintuco||$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 Masculino 30
3 Masculino 35
4 Masculino 20
5 Masculino 31
6 Masculino 27
7 Masculino 27
8 Masculino 21
9 Masculino 24
10 Masculino 32
11 Masculino 18



TEGRA_table_txt_file: table_5465.txt
TEGRA_TABLE_TEXT: 2 Masculino 30
3 Masculino 35
4 Masculino 20
5 Masculino 31
6 Masculino 27
7 Masculino 27
8 Masculino 21
9 Masculino 24
10 Masculino 32
11 Masculino 18
label: 2||Masculino||30
3||Masculino||35
4||Masculino||20
5||Masculino||31
6||Masculino||27
7||Masculino||27
8||Masculino||21
9||Masculino||24
10||Masculino||32
11||Masculino||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:
Crane 2-1 5-1 304 108 18 520.000
Monument / Dayville 1-1 3-1 136 138 24 467.500
Harper / Huntington 1-2 1-4 120 194 30 400.727
Mitchell / Spray 0-2 1-2 90 189 18 520.000
Prairie City 0-2 0-4 68 234 38 270.000
Burnt River - - - - - -



TEGRA_table_txt_file: table_8341.txt
TEGRA_TABLE_TEXT: Crane 2-1 5-1 304 108 18 520.000
Monument / Dayville 1-1 3-1 136 138 24 467.500
Harper / Huntington 1-2 1-4 120 194 30 400.727
Mitchell / Spray 0-2 1-2 90 189 18 520.000
Prairie City 0-2 0-4 68 234 38 270.000
Burnt River - - - - - -
label: Crane||2-1||5-1||304||108||18||520.000
Monument / Dayville||1-1||3-1||136||138||24||467.500
Harper / Huntington||1-2||1-4||120||194||30||400.727
Mitchell / Spray||0-2||1-2||90||189||18||520.000
Prairie City||0-2||0-4||68||234||38||270.000
Burnt River||-||-||-||-||-||-
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:
4329 Midland Rd Not For Sale - 6 3 -
113 Wheelstone Way Not For Sale - - 2 -
111 Wheelstone Way Not For Sale - - 2 -
109 Wheelstone Way Not For Sale - - 2 -
4343 Midland Rd Not For Sale - 3 3 2,305
115 Wheelstone Way Not For Sale - - - -
115 Wheelstone Way Not For Sale - - 2 -
107 Wheelstone Way Not For Sale - - 2 -
113 Wheelstone Way Not For Sale - 3 2 1,595
108 Wheelstone Way Not For Sale - - 2 -



TEGRA_table_txt_file: table_9125.txt
TEGRA_TABLE_TEXT: 4329 Midland Rd Not For Sale - 6 3 -
113 Wheelstone Way Not For Sale - - 2 -
111 Wheelstone Way Not For Sale - - 2 -
109 Wheelstone Way Not For Sale - - 2 -
4343 Midland Rd Not For Sale - 3 3 2,305
115 Wheelstone Way Not For Sale - - - -
115 Wheelstone Way Not For Sale - - 2 -
107 Wheelstone Way Not For Sale - - 2 -
113 Wheelstone Way Not For Sale - 3 2 1,595
108 Wheelstone Way Not For Sale - - 2 -
label: 4329 Midland Rd||Not For Sale||-||6||3||-
113 Wheelstone Way||Not For Sale||-||-||2||-
111 Wheelstone Way||Not For Sale||-||-||2||-
109 Wheelstone Way||Not For Sale||-||-||2||-
4343 Midland Rd||Not For Sale||-||3||3||2,305
115 Wheelstone Way||Not For Sale||-||-||-||-
115 Wheelstone Way||Not For Sale||-||-||2||-
107 Wheelstone Way||Not For Sale||-||-||2||-
113 Wheelstone Way||Not For Sale||-||3||2||1,595
108 Wheelstone Way||Not For Sale||-||-||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 32 &frac12; 83 25 &frac12; 65 35 &frac34; 91 58 147
4 33 &frac12; 84 26 &frac12; 68 36 &frac34; 92 58 147
6 34 &frac12; 88 27 &frac12; 70 37 &frac34; 96 59 150
8 35 &frac12; 90 28 &frac12; 72 38 &frac34; 98 59 150
10 36 &frac12; 93 29 &frac12; 75 39 &frac34; 101 60 152
12 38 97 31 79 41 &frac14; 105 60 152
14 39 &frac12; 100 32 &frac12; 83 42 &frac34; 109 61 155



TEGRA_table_txt_file: table_9038.txt
TEGRA_TABLE_TEXT: 2 32 &frac12; 83 25 &frac12; 65 35 &frac34; 91 58 147
4 33 &frac12; 84 26 &frac12; 68 36 &frac34; 92 58 147
6 34 &frac12; 88 27 &frac12; 70 37 &frac34; 96 59 150
8 35 &frac12; 90 28 &frac12; 72 38 &frac34; 98 59 150
10 36 &frac12; 93 29 &frac12; 75 39 &frac34; 101 60 152
12 38 97 31 79 41 &frac14; 105 60 152
14 39 &frac12; 100 32 &frac12; 83 42 &frac34; 109 61 155
label: 2||32 &frac12;||83||25 &frac12;||65||35 &frac34;||91||58||147
4||33 &frac12;||84||26 &frac12;||68||36 &frac34;||92||58||147
6||34 &frac12;||88||27 &frac12;||70||37 &frac34;||96||59||150
8||35 &frac12;||90||28 &frac12;||72||38 &frac34;||98||59||150
10||36 &frac12;||93||29 &frac12;||75||39 &frac34;||101||60||152
12||38||97||31||79||41 &frac14;||105||60||152
14||39 &frac12;||100||32 &frac12;||83||42 &frac34;||109||61||155
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:
autumn autumn 1 Nov 2013 20 Dec 2013 2 nights £200 £250 £900
christmas & new year christmas & new year 20 Dec 2013 3 Jan 2014 7 nights £250  £1,250
holiday holiday 3 Jan 2014 10 Jan 2014 2 nights £250 £300 £1,000
winter winter 10 Jan 2014 14 Feb 2014 2 nights £200 £300 £900
half term half term 14 Feb 2014 21 Feb 2014 7 nights   £1,000
spring spring 21 Feb 2014 4 Apr 2014 1 night £200 £250 £900
easter easter 4 Apr 2014 25 Apr 2014 7 nights   £1,100
spring spring 25 Apr 2014 23 May 2014 2 nights £200 £300 £1,000
half term half term 23 May 2014 30 May 2014 7 nights   £1,100



TEGRA_table_txt_file: table_1409.txt
TEGRA_TABLE_TEXT: autumn autumn 1 Nov 2013 20 Dec 2013 2 nights £200 £250 £900
christmas & new year christmas & new year 20 Dec 2013 3 Jan 2014 7 nights £250  £1,250
holiday holiday 3 Jan 2014 10 Jan 2014 2 nights £250 £300 £1,000
winter winter 10 Jan 2014 14 Feb 2014 2 nights £200 £300 £900
half term half term 14 Feb 2014 21 Feb 2014 7 nights   £1,000
spring spring 21 Feb 2014 4 Apr 2014 1 night £200 £250 £900
easter easter 4 Apr 2014 25 Apr 2014 7 nights   £1,100
spring spring 25 Apr 2014 23 May 2014 2 nights £200 £300 £1,000
half term half term 23 May 2014 30 May 2014 7 nights   £1,100
label: autumn||autumn||1 Nov 2013||20 Dec 2013||2 nights||£200||£250||£900
christmas & new year||christmas & new year||20 Dec 2013||3 Jan 2014||7 nights||£250||||£1,250
holiday||holiday||3 Jan 2014||10 Jan 2014||2 nights||£250||£300||£1,000
winter||winter||10 Jan 2014||14 Feb 2014||2 nights||£200||£300||£900
half term||half term||14 Feb 2014||21 Feb 2014||7 nights||||||£1,000
spring||spring||21 Feb 2014||4 Apr 2014||1 night||£200||£250||£900
easter||easter||4 Apr 2014||25 Apr 2014||7 nights||||||£1,100
spring||spring||25 Apr 2014||23 May 2014||2 nights||£200||£300||£1,000
half term||half term||23 May 2014||30 May 2014||7 nights||||||£1,100
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:
Vanguard Health Care Fund 2013-06-30 2,240,200 0.62% 
PRIMECAP Management 2013-06-30 2,028,200 0.22% -2.31%
Pioneer Investments 2013-06-30 94,000 0.03% +103.02%
George Soros 2013-06-30 25,000 0.02% -37.5%
Paul Tudor Jones 2013-06-30 3,100 0.02% New Buy
Mario Gabelli 2013-06-30 24,500 0.01% -25.08%
Jean-Marie Eveillard 2013-06-30 400 0% 
Louis Moore Bacon 2013-06-30 0 0% Sold Out
John Hussman 2013-06-30 0 0% Sold Out
Steven Cohen 2013-06-30 0 0% Sold Out
Andreas Halvorsen 2013-06-30 0 0% Sold Out



TEGRA_table_txt_file: table_9844.txt
TEGRA_TABLE_TEXT: Vanguard Health Care Fund 2013-06-30 2,240,200 0.62% 
PRIMECAP Management 2013-06-30 2,028,200 0.22% -2.31%
Pioneer Investments 2013-06-30 94,000 0.03% +103.02%
George Soros 2013-06-30 25,000 0.02% -37.5%
Paul Tudor Jones 2013-06-30 3,100 0.02% New Buy
Mario Gabelli 2013-06-30 24,500 0.01% -25.08%
Jean-Marie Eveillard 2013-06-30 400 0% 
Louis Moore Bacon 2013-06-30 0 0% Sold Out
John Hussman 2013-06-30 0 0% Sold Out
Steven Cohen 2013-06-30 0 0% Sold Out
Andreas Halvorsen 2013-06-30 0 0% Sold Out
label: Vanguard Health Care Fund||2013-06-30||2,240,200||0.62%||
PRIMECAP Management||2013-06-30||2,028,200||0.22%||-2.31%
Pioneer Investments||2013-06-30||94,000||0.03%||+103.02%
George Soros||2013-06-30||25,000||0.02%||-37.5%
Paul Tudor Jones||2013-06-30||3,100||0.02%||New Buy
Mario Gabelli||2013-06-30||24,500||0.01%||-25.08%
Jean-Marie Eveillard||2013-06-30||400||0%||
Louis Moore Bacon||2013-06-30||0||0%||Sold Out
John Hussman||2013-06-30||0||0%||Sold Out
Steven Cohen||2013-06-30||0||0%||Sold Out
Andreas Halvorsen||2013-06-30||0||0%||Sold Out
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:
01.09.2013 20:45 Sassuolo 1 : 4 Livorno
01.09.2013 20:45 Genoa 2 : 5 Fiorentina
01.09.2013 20:45 Bologna 2 : 2 Sampdoria
01.09.2013 20:45 Atalanta 2 : 0 Torino
01.09.2013 20:45 Catania 0 : 3 Inter Mediolan
01.09.2013 20:45 AC Milan 3 : 1 Cagliari
01.09.2013 20:45 Udinese 3 : 1 Parma
01.09.2013 18:00 AS Roma 3 : 0 Hellas Werona
31.08.2013 20:45 Juventus Turyn 4 : 1 Lazio Rzym



TEGRA_table_txt_file: table_9291.txt
TEGRA_TABLE_TEXT: 01.09.2013 20:45 Sassuolo 1 : 4 Livorno
01.09.2013 20:45 Genoa 2 : 5 Fiorentina
01.09.2013 20:45 Bologna 2 : 2 Sampdoria
01.09.2013 20:45 Atalanta 2 : 0 Torino
01.09.2013 20:45 Catania 0 : 3 Inter Mediolan
01.09.2013 20:45 AC Milan 3 : 1 Cagliari
01.09.2013 20:45 Udinese 3 : 1 Parma
01.09.2013 18:00 AS Roma 3 : 0 Hellas Werona
31.08.2013 20:45 Juventus Turyn 4 : 1 Lazio Rzym
label: 01.09.2013||20:45||Sassuolo||1 : 4||Livorno
01.09.2013||20:45||Genoa||2 : 5||Fiorentina
01.09.2013||20:45||Bologna||2 : 2||Sampdoria
01.09.2013||20:45||Atalanta||2 : 0||Torino
01.09.2013||20:45||Catania||0 : 3||Inter Mediolan
01.09.2013||20:45||AC Milan||3 : 1||Cagliari
01.09.2013||20:45||Udinese||3 : 1||Parma
01.09.2013||18:00||AS Roma||3 : 0||Hellas Werona
31.08.2013||20:45||Juventus Turyn||4 : 1||Lazio Rzym
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 Pescadores de Somo A (M) 16 13 80 55 120 60 60 934 680 254
3 Villaescusa B (M) 16 10 80 49 108 72 36 904 744 160
4 Marisma C (M) 16 10 80 45 98 82 16 848 765 83
5 C. P. Alfoz 16 8 80 43 92 89 3 812 815 -3
6 Urbiola Formación-Canteros B (M) 16 8 80 39 88 93 -5 792 836 -44
7 Reinosa B (M) 16 4 80 30 69 107 -38 673 860 -187
8 La Montaña C (M) 16 3 80 23 54 120 -66 616 861 -245



TEGRA_table_txt_file: table_6452.txt
TEGRA_TABLE_TEXT: 2 Pescadores de Somo A (M) 16 13 80 55 120 60 60 934 680 254
3 Villaescusa B (M) 16 10 80 49 108 72 36 904 744 160
4 Marisma C (M) 16 10 80 45 98 82 16 848 765 83
5 C. P. Alfoz 16 8 80 43 92 89 3 812 815 -3
6 Urbiola Formación-Canteros B (M) 16 8 80 39 88 93 -5 792 836 -44
7 Reinosa B (M) 16 4 80 30 69 107 -38 673 860 -187
8 La Montaña C (M) 16 3 80 23 54 120 -66 616 861 -245
label: 2||Pescadores de Somo A (M)||16||13||80||55||120||60||60||934||680||254
3||Villaescusa B (M)||16||10||80||49||108||72||36||904||744||160
4||Marisma C (M)||16||10||80||45||98||82||16||848||765||83
5||C. P. Alfoz||16||8||80||43||92||89||3||812||815||-3
6||Urbiola Formación-Canteros B (M)||16||8||80||39||88||93||-5||792||836||-44
7||Reinosa B (M)||16||4||80||30||69||107||-38||673||860||-187
8||La Montaña C (M)||16||3||80||23||54||120||-66||616||861||-245
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:
18-10-2013 2619 - TP 0188
17-10-2013 2618 - TP 3964
16-10-2013 2617 - TP 6413
15-10-2013 2616 - TP 2234
14-10-2013 2615 - TP 5770
13-10-2013 2614 - TP 6891
12-10-2013 2613 - TP 6211
11-10-2013 2612 - TP 8643
10-10-2013 2611 - TP 3970
09-10-2013 2610 - TP 9134
08-10-2013 2609 - TP 8030
07-10-2013 2608 - TP 0317
06-10-2013 2607 - TP 4665



TEGRA_table_txt_file: table_9526.txt
TEGRA_TABLE_TEXT: 18-10-2013 2619 - TP 0188
17-10-2013 2618 - TP 3964
16-10-2013 2617 - TP 6413
15-10-2013 2616 - TP 2234
14-10-2013 2615 - TP 5770
13-10-2013 2614 - TP 6891
12-10-2013 2613 - TP 6211
11-10-2013 2612 - TP 8643
10-10-2013 2611 - TP 3970
09-10-2013 2610 - TP 9134
08-10-2013 2609 - TP 8030
07-10-2013 2608 - TP 0317
06-10-2013 2607 - TP 4665
label: 18-10-2013||2619 - TP||0188
17-10-2013||2618 - TP||3964
16-10-2013||2617 - TP||6413
15-10-2013||2616 - TP||2234
14-10-2013||2615 - TP||5770
13-10-2013||2614 - TP||6891
12-10-2013||2613 - TP||6211
11-10-2013||2612 - TP||8643
10-10-2013||2611 - TP||3970
09-10-2013||2610 - TP||9134
08-10-2013||2609 - TP||8030
07-10-2013||2608 - TP||0317
06-10-2013||2607 - TP||4665
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:
Norges Bank 396 1 399 1 366 1 370 1 340 1
Banks 3 641 1 967 3 682 1 962 3 595 1 977 3 849 2 003 3 951 2 000
State lending institutions 246 231 253 237 252 238 254 239 258 243
Finance companies 1 485 1 114 1 528 1 157 1 561 1 200 1 667 1 245 1 734 1 307
Insurance companies 1 052 43 1 088 41 1 087 41 1 084 38 1 100 38



TEGRA_table_txt_file: table_6767.txt
TEGRA_TABLE_TEXT: Norges Bank 396 1 399 1 366 1 370 1 340 1
Banks 3 641 1 967 3 682 1 962 3 595 1 977 3 849 2 003 3 951 2 000
State lending institutions 246 231 253 237 252 238 254 239 258 243
Finance companies 1 485 1 114 1 528 1 157 1 561 1 200 1 667 1 245 1 734 1 307
Insurance companies 1 052 43 1 088 41 1 087 41 1 084 38 1 100 38
label: Norges Bank||396||1||399||1||366||1||370||1||340||1
Banks||3 641||1 967||3 682||1 962||3 595||1 977||3 849||2 003||3 951||2 000
State lending institutions||246||231||253||237||252||238||254||239||258||243
Finance companies||1 485||1 114||1 528||1 157||1 561||1 200||1 667||1 245||1 734||1 307
Insurance companies||1 052||43||1 088||41||1 087||41||1 084||38||1 100||38
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:
Attempts 156 42nd 98 39th
Completion % 60.9% 9th 58.2% 20th
Yards 1191 38th 651 37th
Yards per game 132.3 37th 130.2 35th
Yards per attempt 7.6 74th 6.6 67th
Touchdowns 15 22nd 6 33rd
Interceptions 5 55th 4 42nd
Sacks 6 30th 5 26th



TEGRA_table_txt_file: table_3984.txt
TEGRA_TABLE_TEXT: Attempts 156 42nd 98 39th
Completion % 60.9% 9th 58.2% 20th
Yards 1191 38th 651 37th
Yards per game 132.3 37th 130.2 35th
Yards per attempt 7.6 74th 6.6 67th
Touchdowns 15 22nd 6 33rd
Interceptions 5 55th 4 42nd
Sacks 6 30th 5 26th
label: Attempts||156||42nd||98||39th
Completion %||60.9%||9th||58.2%||20th
Yards||1191||38th||651||37th
Yards per game||132.3||37th||130.2||35th
Yards per attempt||7.6||74th||6.6||67th
Touchdowns||15||22nd||6||33rd
Interceptions||5||55th||4||42nd
Sacks||6||30th||5||26th
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 étape 11 mars Montecatini Terme - Montecatini Terme 165 Tom Boonen Linus Gerdemann
3e étape 12 mars San Miniato - Monsummano Terme 159 Daniele Bennati Daniele Bennati
4e étape 13 mars San Gemini - Chieti 245 Michele Scarponi Michele Scarponi
5e étape 14 mars Chieti - Colmurano 217 Enrico Gasparotto Michele Scarponi
6e étape 15 mars Montecosaro - Macerata 134 Mikhail Ignatiev Michele Scarponi



TEGRA_table_txt_file: table_7716.txt
TEGRA_TABLE_TEXT: 2e étape 11 mars Montecatini Terme - Montecatini Terme 165 Tom Boonen Linus Gerdemann
3e étape 12 mars San Miniato - Monsummano Terme 159 Daniele Bennati Daniele Bennati
4e étape 13 mars San Gemini - Chieti 245 Michele Scarponi Michele Scarponi
5e étape 14 mars Chieti - Colmurano 217 Enrico Gasparotto Michele Scarponi
6e étape 15 mars Montecosaro - Macerata 134 Mikhail Ignatiev Michele Scarponi
label: 2e étape||11 mars||Montecatini Terme - Montecatini Terme||165||Tom Boonen||Linus Gerdemann
3e étape||12 mars||San Miniato - Monsummano Terme||159||Daniele Bennati||Daniele Bennati
4e étape||13 mars||San Gemini - Chieti||245||Michele Scarponi||Michele Scarponi
5e étape||14 mars||Chieti - Colmurano||217||Enrico Gasparotto||Michele Scarponi
6e étape||15 mars||Montecosaro - Macerata||134||Mikhail Ignatiev||Michele Scarponi
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:
2006* Roster Schedule & Results Statistics
2005* Roster Schedule & Results Statistics
2003* Roster Schedule & Results Statistics
2000 Roster Schedule & Results Statistics
1996 Roster Schedule & Results Statistics
1992 Roster Schedule & Results Statistics
1988 Roster Schedule & Results Statistics
1984 Roster Schedule & Results Statistics



TEGRA_table_txt_file: table_1115.txt
TEGRA_TABLE_TEXT: 2006* Roster Schedule & Results Statistics
2005* Roster Schedule & Results Statistics
2003* Roster Schedule & Results Statistics
2000 Roster Schedule & Results Statistics
1996 Roster Schedule & Results Statistics
1992 Roster Schedule & Results Statistics
1988 Roster Schedule & Results Statistics
1984 Roster Schedule & Results Statistics
label: 2006*||Roster||Schedule & Results||Statistics
2005*||Roster||Schedule & Results||Statistics
2003*||Roster||Schedule & Results||Statistics
2000||Roster||Schedule & Results||Statistics
1996||Roster||Schedule & Results||Statistics
1992||Roster||Schedule & Results||Statistics
1988||Roster||Schedule & Results||Statistics
1984||Roster||Schedule & Results||Statistics
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:
Salary (3) $40,000 $39k $42k
Bonuses (3) $3,267 $1,800 $6,000
Cash Bonus (3) $3,267 $1,800 $6,000
Stock Bonus (0) n/a No Reports
Profit Sharing (0) n/a No Reports
Other Pay (0) n/a No Reports
Commissions on Sales (0) n/a No Reports
Tips (0) n/a No Reports
Salaries in USD Average $5k $20k $35k



TEGRA_table_txt_file: table_2217.txt
TEGRA_TABLE_TEXT: Salary (3) $40,000 $39k $42k
Bonuses (3) $3,267 $1,800 $6,000
Cash Bonus (3) $3,267 $1,800 $6,000
Stock Bonus (0) n/a No Reports
Profit Sharing (0) n/a No Reports
Other Pay (0) n/a No Reports
Commissions on Sales (0) n/a No Reports
Tips (0) n/a No Reports
Salaries in USD Average $5k $20k $35k
label: Salary (3)||$40,000||$39k $42k
Bonuses (3)||$3,267||$1,800 $6,000
Cash Bonus (3)||$3,267||$1,800 $6,000
Stock Bonus (0)||n/a||No Reports
Profit Sharing (0)||n/a||No Reports
Other Pay (0)||n/a||No Reports
Commissions on Sales (0)||n/a||No Reports
Tips (0)||n/a||No Reports
Salaries in USD||Average||$5k $20k $35k
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:
Crops 420 28 Wheat Rice
Horticulture* 241 39 Citrus Grapes
Livestock 821 22 Wool Cattle
Total 1482   
1991/92 (7990 establishments)    
Crops 505 28 Rice Wheat
Horticulture* 323 39 Citrus Vegies
Livestock 673 21 Wool Cattle



TEGRA_table_txt_file: table_5060.txt
TEGRA_TABLE_TEXT: Crops 420 28 Wheat Rice
Horticulture* 241 39 Citrus Grapes
Livestock 821 22 Wool Cattle
Total 1482   
1991/92 (7990 establishments)    
Crops 505 28 Rice Wheat
Horticulture* 323 39 Citrus Vegies
Livestock 673 21 Wool Cattle
label: Crops||420||28||Wheat||Rice
Horticulture*||241||39||Citrus||Grapes
Livestock||821||22||Wool||Cattle
Total||1482||||||
1991/92 (7990 establishments)||||||||
Crops||505||28||Rice||Wheat
Horticulture*||323||39||Citrus||Vegies
Livestock||673||21||Wool||Cattle