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:
163 Bittersweet Cir, Venetia PA 0.43 Single-Family Home $462,000 05/23/13 4 3.5 3,314
848 Bebout Rd, Venetia PA 0.57 Single-Family Home $715,000 07/17/13 4 4.5 4,000
340 Snowberry Cir, Venetia PA 1.11 Single-Family Home $670,000 01/31/13 4 3.5 3,551
117 Windermere Ct, McMurray PA 1.17 Single-Family Home $590,000 07/15/13 4 3.5 3,889
319 Bridle Trl, Venetia PA 1.40 Single-Family Home $435,000 02/01/13 4 2.5 3,287
121 Bridle Trl, Venetia PA 1.45 Single-Family Home $448,000 01/11/13 4 3.5 3,861
114 Bridle Trl, Venetia PA 1.49 Single-Family Home $535,000 04/15/13 4 3.5 3,086
107 Doubletree Dr, Venetia PA 1.64 Single-Family Home $489,900 07/16/13 4 3.5 3,728



TEGRA_table_txt_file: table_6081.txt
TEGRA_TABLE_TEXT: 163 Bittersweet Cir, Venetia PA 0.43 Single-Family Home $462,000 05/23/13 4 3.5 3,314
848 Bebout Rd, Venetia PA 0.57 Single-Family Home $715,000 07/17/13 4 4.5 4,000
340 Snowberry Cir, Venetia PA 1.11 Single-Family Home $670,000 01/31/13 4 3.5 3,551
117 Windermere Ct, McMurray PA 1.17 Single-Family Home $590,000 07/15/13 4 3.5 3,889
319 Bridle Trl, Venetia PA 1.40 Single-Family Home $435,000 02/01/13 4 2.5 3,287
121 Bridle Trl, Venetia PA 1.45 Single-Family Home $448,000 01/11/13 4 3.5 3,861
114 Bridle Trl, Venetia PA 1.49 Single-Family Home $535,000 04/15/13 4 3.5 3,086
107 Doubletree Dr, Venetia PA 1.64 Single-Family Home $489,900 07/16/13 4 3.5 3,728
label: 163 Bittersweet Cir, Venetia PA||0.43||Single-Family Home||$462,000||05/23/13||4||3.5||3,314
848 Bebout Rd, Venetia PA||0.57||Single-Family Home||$715,000||07/17/13||4||4.5||4,000
340 Snowberry Cir, Venetia PA||1.11||Single-Family Home||$670,000||01/31/13||4||3.5||3,551
117 Windermere Ct, McMurray PA||1.17||Single-Family Home||$590,000||07/15/13||4||3.5||3,889
319 Bridle Trl, Venetia PA||1.40||Single-Family Home||$435,000||02/01/13||4||2.5||3,287
121 Bridle Trl, Venetia PA||1.45||Single-Family Home||$448,000||01/11/13||4||3.5||3,861
114 Bridle Trl, Venetia PA||1.49||Single-Family Home||$535,000||04/15/13||4||3.5||3,086
107 Doubletree Dr, Venetia PA||1.64||Single-Family Home||$489,900||07/16/13||4||3.5||3,728
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:
Mon Tue Wed Thu Fri Sat Sun
 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_1837.txt
TEGRA_TABLE_TEXT: Mon Tue Wed Thu Fri Sat Sun
 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: Mon||Tue||Wed||Thu||Fri||Sat||Sun
||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:
2. Bor. Dortmund 9 22:7 22
3. Bay. Leverkusen 9 20:9 22
4. Hertha BSC 9 15:9 15
5. FC Schalke 04 9 17:19 14
6. Bor. M'gladbach 9 19:14 13
7. Hannover 96 9 11:12 13
8. VfB Stuttgart 9 19:13 12
9. VfL Wolfsburg 9 11:12 12
10. Werder Bremen 9 9:12 12
11. 1899 Hoffenheim 9 21:22 10
12. Eintr. Frankfurt 9 12:14 10
13. FC Augsburg 9 10:17 10
14. 1. FSV Mainz 05 9 13:21 10
15. Hamburger SV 9 20:22 9
16. 1. FC Nürnberg 9 10:18 6
17. SC Freiburg 9 9:18 5



TEGRA_table_txt_file: table_6580.txt
TEGRA_TABLE_TEXT: 2. Bor. Dortmund 9 22:7 22
3. Bay. Leverkusen 9 20:9 22
4. Hertha BSC 9 15:9 15
5. FC Schalke 04 9 17:19 14
6. Bor. M'gladbach 9 19:14 13
7. Hannover 96 9 11:12 13
8. VfB Stuttgart 9 19:13 12
9. VfL Wolfsburg 9 11:12 12
10. Werder Bremen 9 9:12 12
11. 1899 Hoffenheim 9 21:22 10
12. Eintr. Frankfurt 9 12:14 10
13. FC Augsburg 9 10:17 10
14. 1. FSV Mainz 05 9 13:21 10
15. Hamburger SV 9 20:22 9
16. 1. FC Nürnberg 9 10:18 6
17. SC Freiburg 9 9:18 5
label: 2.||Bor. Dortmund||9||22:7||22
3.||Bay. Leverkusen||9||20:9||22
4.||Hertha BSC||9||15:9||15
5.||FC Schalke 04||9||17:19||14
6.||Bor. M'gladbach||9||19:14||13
7.||Hannover 96||9||11:12||13
8.||VfB Stuttgart||9||19:13||12
9.||VfL Wolfsburg||9||11:12||12
10.||Werder Bremen||9||9:12||12
11.||1899 Hoffenheim||9||21:22||10
12.||Eintr. Frankfurt||9||12:14||10
13.||FC Augsburg||9||10:17||10
14.||1. FSV Mainz 05||9||13:21||10
15.||Hamburger SV||9||20:22||9
16.||1. FC Nürnberg||9||10:18||6
17.||SC Freiburg||9||9:18||5
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:
VV Berkum Zwolle De Vegtlust
DVS '33 Ermelo DVS '33
Flevo Boys Emmeloord Sportpark Ervenbos
Harkemase Boys Harkema De Bosk
HZVV Hoogeveen Bentinckspark
NSC Nijkerk Sportpark De Burcht
VV Nunspeet Nunspeet De Wiltsangh
ONS Sneek Sneek Zuidersportpark
Sparta Nijkerk Nijkerk De Ebbenhorst
VV Staphorst Staphorst Het Noorderslag
SVZW Wierden Het Lageveld
VVOG Harderwijk Sportpark de Strokel



TEGRA_table_txt_file: table_7296.txt
TEGRA_TABLE_TEXT: VV Berkum Zwolle De Vegtlust
DVS '33 Ermelo DVS '33
Flevo Boys Emmeloord Sportpark Ervenbos
Harkemase Boys Harkema De Bosk
HZVV Hoogeveen Bentinckspark
NSC Nijkerk Sportpark De Burcht
VV Nunspeet Nunspeet De Wiltsangh
ONS Sneek Sneek Zuidersportpark
Sparta Nijkerk Nijkerk De Ebbenhorst
VV Staphorst Staphorst Het Noorderslag
SVZW Wierden Het Lageveld
VVOG Harderwijk Sportpark de Strokel
label: VV Berkum||Zwolle||De Vegtlust
DVS '33||Ermelo||DVS '33
Flevo Boys||Emmeloord||Sportpark Ervenbos
Harkemase Boys||Harkema||De Bosk
HZVV||Hoogeveen||Bentinckspark
NSC||Nijkerk||Sportpark De Burcht
VV Nunspeet||Nunspeet||De Wiltsangh
ONS Sneek||Sneek||Zuidersportpark
Sparta Nijkerk||Nijkerk||De Ebbenhorst
VV Staphorst||Staphorst||Het Noorderslag
SVZW||Wierden||Het Lageveld
VVOG||Harderwijk||Sportpark de Strokel
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:
Season TEAM G PNTRET PNTYDS PNTTDS PNTLNG KRRET KRYDS KRTDS KRLNG
2010-11 Washington 10 1 12 0 12 15 324 0 30
2011-12 Washington 12 0 0 0 0 37 958 0 64
2012-13 Washington 12 1 5 0 5 5 83 0 26
2013-14 Washington 7 0 0 0 0 5 80 0 32



TEGRA_table_txt_file: table_9201.txt
TEGRA_TABLE_TEXT: Season TEAM G PNTRET PNTYDS PNTTDS PNTLNG KRRET KRYDS KRTDS KRLNG
2010-11 Washington 10 1 12 0 12 15 324 0 30
2011-12 Washington 12 0 0 0 0 37 958 0 64
2012-13 Washington 12 1 5 0 5 5 83 0 26
2013-14 Washington 7 0 0 0 0 5 80 0 32
label: Season||TEAM||G||PNTRET||PNTYDS||PNTTDS||PNTLNG||KRRET||KRYDS||KRTDS||KRLNG
2010-11||Washington||10||1||12||0||12||15||324||0||30
2011-12||Washington||12||0||0||0||0||37||958||0||64
2012-13||Washington||12||1||5||0||5||5||83||0||26
2013-14||Washington||7||0||0||0||0||5||80||0||32
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 Espagne 4 - 13 12 6 3 2 4 1 - 45
3 Suisse 4 2 - - 4 2 5 2 1 - 21
4 Serbie 2 3 1 2 - 3 - 1 1 2 15
5 Suède 1 - - 1 1 2 2 1 3 - 11
= Royaume-Uni - 2 - - - 2 2 1 2 2 11
7 Russie - 1 1 - - 2 - 1 4 1 10
8 Autriche - - - 1 3 3 - 1 - - 8
= Allemagne - - - - 1 - - 6 1 - 8
10 Chili 1 1 1 1 1 - - - - - 5
= Argentine - - 1 - 1 1 - 1 1 - 5
= Brésil - - 2 1 1 - 1 - - - 5
= Australie 3 - - - - 1 1 - - - 5
= France - - 1 - - - 1 - 3 - 5
= Ukraine - - 1 - 3 - - - - - 4
16 République tchèque - - - - 1 - - 1 1 - 3
= Croatie 1 - - - - - - 1 1 - 3
18 Pays-Bas - 1 - - - - - 1 - - 2
= Afrique du Sud - - - - - 1 - 1 - - 2



TEGRA_table_txt_file: table_2038.txt
TEGRA_TABLE_TEXT: 2 Espagne 4 - 13 12 6 3 2 4 1 - 45
3 Suisse 4 2 - - 4 2 5 2 1 - 21
4 Serbie 2 3 1 2 - 3 - 1 1 2 15
5 Suède 1 - - 1 1 2 2 1 3 - 11
= Royaume-Uni - 2 - - - 2 2 1 2 2 11
7 Russie - 1 1 - - 2 - 1 4 1 10
8 Autriche - - - 1 3 3 - 1 - - 8
= Allemagne - - - - 1 - - 6 1 - 8
10 Chili 1 1 1 1 1 - - - - - 5
= Argentine - - 1 - 1 1 - 1 1 - 5
= Brésil - - 2 1 1 - 1 - - - 5
= Australie 3 - - - - 1 1 - - - 5
= France - - 1 - - - 1 - 3 - 5
= Ukraine - - 1 - 3 - - - - - 4
16 République tchèque - - - - 1 - - 1 1 - 3
= Croatie 1 - - - - - - 1 1 - 3
18 Pays-Bas - 1 - - - - - 1 - - 2
= Afrique du Sud - - - - - 1 - 1 - - 2
label: 2||Espagne||4||-||13||12||6||3||2||4||1||-||45
3||Suisse||4||2||-||-||4||2||5||2||1||-||21
4||Serbie||2||3||1||2||-||3||-||1||1||2||15
5||Suède||1||-||-||1||1||2||2||1||3||-||11
=||Royaume-Uni||-||2||-||-||-||2||2||1||2||2||11
7||Russie||-||1||1||-||-||2||-||1||4||1||10
8||Autriche||-||-||-||1||3||3||-||1||-||-||8
=||Allemagne||-||-||-||-||1||-||-||6||1||-||8
10||Chili||1||1||1||1||1||-||-||-||-||-||5
=||Argentine||-||-||1||-||1||1||-||1||1||-||5
=||Brésil||-||-||2||1||1||-||1||-||-||-||5
=||Australie||3||-||-||-||-||1||1||-||-||-||5
=||France||-||-||1||-||-||-||1||-||3||-||5
=||Ukraine||-||-||1||-||3||-||-||-||-||-||4
16||République tchèque||-||-||-||-||1||-||-||1||1||-||3
=||Croatie||1||-||-||-||-||-||-||1||1||-||3
18||Pays-Bas||-||1||-||-||-||-||-||1||-||-||2
=||Afrique du Sud||-||-||-||-||-||1||-||1||-||-||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:
udp://fr33dom.h33t.com:3310/announce) inactive 3 months ago 0 0
udp://fr33domtracker.h33t.com:3310/announce) inactive 3 months ago 0 0
udp://tracker.istole.it:80/announce) inactive 3 months ago 0 0
http://tracker.prq.to/announce.php) inactive 3 months ago 0 0
http://tpb.tracker.prq.to/announce) inactive 3 months ago 0 0
http://9.rarbg.com:2710/announce) inactive 3 months ago 0 0
http://10.rarbg.com/announce) inactive 3 months ago 0 0
udp://tracker.openbittorrent.com:80/announce) inactive 3 months ago 0 0
udp://tracker.publicbt.com:80/announce) inactive 3 months ago 0 0



TEGRA_table_txt_file: table_6222.txt
TEGRA_TABLE_TEXT: udp://fr33dom.h33t.com:3310/announce) inactive 3 months ago 0 0
udp://fr33domtracker.h33t.com:3310/announce) inactive 3 months ago 0 0
udp://tracker.istole.it:80/announce) inactive 3 months ago 0 0
http://tracker.prq.to/announce.php) inactive 3 months ago 0 0
http://tpb.tracker.prq.to/announce) inactive 3 months ago 0 0
http://9.rarbg.com:2710/announce) inactive 3 months ago 0 0
http://10.rarbg.com/announce) inactive 3 months ago 0 0
udp://tracker.openbittorrent.com:80/announce) inactive 3 months ago 0 0
udp://tracker.publicbt.com:80/announce) inactive 3 months ago 0 0
label: udp://fr33dom.h33t.com:3310/announce)||inactive||3 months ago||0||0
udp://fr33domtracker.h33t.com:3310/announce)||inactive||3 months ago||0||0
udp://tracker.istole.it:80/announce)||inactive||3 months ago||0||0
http://tracker.prq.to/announce.php)||inactive||3 months ago||0||0
http://tpb.tracker.prq.to/announce)||inactive||3 months ago||0||0
http://9.rarbg.com:2710/announce)||inactive||3 months ago||0||0
http://10.rarbg.com/announce)||inactive||3 months ago||0||0
udp://tracker.openbittorrent.com:80/announce)||inactive||3 months ago||0||0
udp://tracker.publicbt.com:80/announce)||inactive||3 months ago||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:
HR-rådgivere Oslo 24.10.2013
Internrevisor Oslo 24.10.2013
Løsningsdesigner/rådgiver Oslo 24.10.2013
Tekniske saksbehandlere - Alta/Vadsø (97298) Vadsø 25.10.2013
Geodatamedarbeider/målebiloperatør - Bodø Bodø 25.10.2013
Saksbehandler Kjøretøy - Tilsyn Tønsberg 27.10.2013
Arealplanlegger - forvaltning Notodden 27.10.2013
Kundebehandlere Svartjenesten - Lillehammer Lillehammer 28.10.2013



TEGRA_table_txt_file: table_9063.txt
TEGRA_TABLE_TEXT: HR-rådgivere Oslo 24.10.2013
Internrevisor Oslo 24.10.2013
Løsningsdesigner/rådgiver Oslo 24.10.2013
Tekniske saksbehandlere - Alta/Vadsø (97298) Vadsø 25.10.2013
Geodatamedarbeider/målebiloperatør - Bodø Bodø 25.10.2013
Saksbehandler Kjøretøy - Tilsyn Tønsberg 27.10.2013
Arealplanlegger - forvaltning Notodden 27.10.2013
Kundebehandlere Svartjenesten - Lillehammer Lillehammer 28.10.2013
label: HR-rådgivere||Oslo||24.10.2013
Internrevisor||Oslo||24.10.2013
Løsningsdesigner/rådgiver||Oslo||24.10.2013
Tekniske saksbehandlere - Alta/Vadsø (97298)||Vadsø||25.10.2013
Geodatamedarbeider/målebiloperatør - Bodø||Bodø||25.10.2013
Saksbehandler Kjøretøy - Tilsyn||Tønsberg||27.10.2013
Arealplanlegger - forvaltning||Notodden||27.10.2013
Kundebehandlere Svartjenesten - Lillehammer||Lillehammer||28.10.2013
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:
850 Putnam Ave, Brooklyn NY 0.03 Multi-Family $530,000 03/04/13 - - 2,432
741 Jefferson Ave, Brooklyn NY 0.04 Multi-Family $624,750 01/28/13 - - 2,757
847 Putnam Ave, Brooklyn NY 0.05 Multi-Family $890,000 08/14/13 - - 2,700
731 Jefferson Ave, Brooklyn NY 0.06 Multi-Family $540,000 05/13/13 - - 2,693
671 Hancock St, Brooklyn NY 0.08 Multi-Family $770,000 02/21/13 - - 2,160
752A Madison St, Brooklyn NY 0.08 Multi-Family $714,000 04/04/13 - - 1,944
128 Patchen Ave, Brooklyn NY 0.08 Multi-Family $600,000 07/16/13 - - 3,352
723 Madison St, Brooklyn NY 0.10 Multi-Family $710,000 05/09/13 - - 2,001



TEGRA_table_txt_file: table_3977.txt
TEGRA_TABLE_TEXT: 850 Putnam Ave, Brooklyn NY 0.03 Multi-Family $530,000 03/04/13 - - 2,432
741 Jefferson Ave, Brooklyn NY 0.04 Multi-Family $624,750 01/28/13 - - 2,757
847 Putnam Ave, Brooklyn NY 0.05 Multi-Family $890,000 08/14/13 - - 2,700
731 Jefferson Ave, Brooklyn NY 0.06 Multi-Family $540,000 05/13/13 - - 2,693
671 Hancock St, Brooklyn NY 0.08 Multi-Family $770,000 02/21/13 - - 2,160
752A Madison St, Brooklyn NY 0.08 Multi-Family $714,000 04/04/13 - - 1,944
128 Patchen Ave, Brooklyn NY 0.08 Multi-Family $600,000 07/16/13 - - 3,352
723 Madison St, Brooklyn NY 0.10 Multi-Family $710,000 05/09/13 - - 2,001
label: 850 Putnam Ave, Brooklyn NY||0.03||Multi-Family||$530,000||03/04/13||-||-||2,432
741 Jefferson Ave, Brooklyn NY||0.04||Multi-Family||$624,750||01/28/13||-||-||2,757
847 Putnam Ave, Brooklyn NY||0.05||Multi-Family||$890,000||08/14/13||-||-||2,700
731 Jefferson Ave, Brooklyn NY||0.06||Multi-Family||$540,000||05/13/13||-||-||2,693
671 Hancock St, Brooklyn NY||0.08||Multi-Family||$770,000||02/21/13||-||-||2,160
752A Madison St, Brooklyn NY||0.08||Multi-Family||$714,000||04/04/13||-||-||1,944
128 Patchen Ave, Brooklyn NY||0.08||Multi-Family||$600,000||07/16/13||-||-||3,352
723 Madison St, Brooklyn NY||0.10||Multi-Family||$710,000||05/09/13||-||-||2,001
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:
Snore Normal Special 40 100
Icy Wind Ice Special 55 95
Outrage Dragon Physical 120 100
Twister Dragon Special 40 100
Aqua Tail Water Physical 90 90



TEGRA_table_txt_file: table_3240.txt
TEGRA_TABLE_TEXT: Snore Normal Special 40 100
Icy Wind Ice Special 55 95
Outrage Dragon Physical 120 100
Twister Dragon Special 40 100
Aqua Tail Water Physical 90 90
label: Snore||Normal||Special||40||100
Icy Wind||Ice||Special||55||95
Outrage||Dragon||Physical||120||100
Twister||Dragon||Special||40||100
Aqua Tail||Water||Physical||90||90
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:
Gigliotti, E. Boca 6
Rodríguez, M. Newell`s 6
Matos, M. All Boys 5
Cauteruccio, M. San Lorenzo 5
Abreu, W. Rosario Central 4
Pratto, L. Vélez Sarsfield 4
Vera, D. Atl. Rafaela 4
Carrillo, G. Estudiantes 4



TEGRA_table_txt_file: table_8447.txt
TEGRA_TABLE_TEXT: Gigliotti, E. Boca 6
Rodríguez, M. Newell`s 6
Matos, M. All Boys 5
Cauteruccio, M. San Lorenzo 5
Abreu, W. Rosario Central 4
Pratto, L. Vélez Sarsfield 4
Vera, D. Atl. Rafaela 4
Carrillo, G. Estudiantes 4
label: Gigliotti, E.||Boca||6
Rodríguez, M.||Newell`s||6
Matos, M.||All Boys||5
Cauteruccio, M.||San Lorenzo||5
Abreu, W.||Rosario Central||4
Pratto, L.||Vélez Sarsfield||4
Vera, D.||Atl. Rafaela||4
Carrillo, G.||Estudiantes||4
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
2mm- 5mm ±0.10 0.4-0.7 ±0.10
5mm- 8mm ±0.20 0.6-1.0 ±0.10
9mm-13mm ±0.20 0.8-1.1 ±0.10
14mm-20mm ±0.30 1.0-1.3 ±0.12
21mm-25mm ±0.40 1.2-1.6 ±0.15
26mm-35mm ±0.50 1.2-2.0 ±0.20



TEGRA_table_txt_file: table_7953.txt
TEGRA_TABLE_TEXT: 2mm- 5mm ±0.10 0.4-0.7 ±0.10
5mm- 8mm ±0.20 0.6-1.0 ±0.10
9mm-13mm ±0.20 0.8-1.1 ±0.10
14mm-20mm ±0.30 1.0-1.3 ±0.12
21mm-25mm ±0.40 1.2-1.6 ±0.15
26mm-35mm ±0.50 1.2-2.0 ±0.20
label: 2mm- 5mm||±0.10||0.4-0.7||±0.10
5mm- 8mm||±0.20||0.6-1.0||±0.10
9mm-13mm||±0.20||0.8-1.1||±0.10
14mm-20mm||±0.30||1.0-1.3||±0.12
21mm-25mm||±0.40||1.2-1.6||±0.15
26mm-35mm||±0.50||1.2-2.0||±0.20
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:
BGIL Films & Technologies Ltd. 2.00 2.00 N.A. 2.00 2.00 0.00 N.A. 1100
Softech Infinium Solutions Ltd. 5.42 5.42 N.A. 5.42 5.42 35.08 N.A. 6
Quintegra Solutions Ltd. 0.79 0.03 3.94% 0.79 0.73 0.00 N.A. 36
CG-VAK Software & Exports Ltd. 4.84 0.18 3.58% 4.84 4.84 2.39 10.33 10
G-Tech Info-Training Ltd. 0.21 0.01 5.00% 0.21 0.21 0.00 N.A. 50
Silicon Valley Infotech Ltd. 0.16 0.01 5.88% 0.16 0.16 0.00 N.A. 1500
Ranklin Solutions Ltd. 2.08 0 0% 2.08 2.08 0.00 N.A. 1000
Sequel e-Routers Ltd. 3.68 0.17 4.84% 3.68 3.50 0.00 N.A. 5550
Danlaw Technologies Ltd. 6.80 0.30 4.22% 6.80 6.80 2.01 N.A. 100



TEGRA_table_txt_file: table_9155.txt
TEGRA_TABLE_TEXT: BGIL Films & Technologies Ltd. 2.00 2.00 N.A. 2.00 2.00 0.00 N.A. 1100
Softech Infinium Solutions Ltd. 5.42 5.42 N.A. 5.42 5.42 35.08 N.A. 6
Quintegra Solutions Ltd. 0.79 0.03 3.94% 0.79 0.73 0.00 N.A. 36
CG-VAK Software & Exports Ltd. 4.84 0.18 3.58% 4.84 4.84 2.39 10.33 10
G-Tech Info-Training Ltd. 0.21 0.01 5.00% 0.21 0.21 0.00 N.A. 50
Silicon Valley Infotech Ltd. 0.16 0.01 5.88% 0.16 0.16 0.00 N.A. 1500
Ranklin Solutions Ltd. 2.08 0 0% 2.08 2.08 0.00 N.A. 1000
Sequel e-Routers Ltd. 3.68 0.17 4.84% 3.68 3.50 0.00 N.A. 5550
Danlaw Technologies Ltd. 6.80 0.30 4.22% 6.80 6.80 2.01 N.A. 100
label: BGIL Films & Technologies Ltd.||2.00||2.00||N.A.||2.00||2.00||0.00||N.A.||1100
Softech Infinium Solutions Ltd.||5.42||5.42||N.A.||5.42||5.42||35.08||N.A.||6
Quintegra Solutions Ltd.||0.79||0.03||3.94%||0.79||0.73||0.00||N.A.||36
CG-VAK Software & Exports Ltd.||4.84||0.18||3.58%||4.84||4.84||2.39||10.33||10
G-Tech Info-Training Ltd.||0.21||0.01||5.00%||0.21||0.21||0.00||N.A.||50
Silicon Valley Infotech Ltd.||0.16||0.01||5.88%||0.16||0.16||0.00||N.A.||1500
Ranklin Solutions Ltd.||2.08||0||0%||2.08||2.08||0.00||N.A.||1000
Sequel e-Routers Ltd.||3.68||0.17||4.84%||3.68||3.50||0.00||N.A.||5550
Danlaw Technologies Ltd.||6.80||0.30||4.22%||6.80||6.80||2.01||N.A.||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:
Leucine 15 320 T0336
Lysine 14 300 T0336
Methionine 3 60 T0336
Cystine 1 20 T0336
Phenylalanine 8 160 T0336
Tyrosine 5 100 T0336
Threonine 9 180 T0336
Tryptophan 3 60 T0336
Valine 12 240 T0336
Arginine 7 140 T0336
Histidine 5 100 T0336
Alanine 12 260 T0336
Aspartic acid 87 1820 T0336
Glutamic acid 25 520 T0336
Glycine 9 180 T0336
Proline 92 1920 T0336



TEGRA_table_txt_file: table_2445.txt
TEGRA_TABLE_TEXT: Leucine 15 320 T0336
Lysine 14 300 T0336
Methionine 3 60 T0336
Cystine 1 20 T0336
Phenylalanine 8 160 T0336
Tyrosine 5 100 T0336
Threonine 9 180 T0336
Tryptophan 3 60 T0336
Valine 12 240 T0336
Arginine 7 140 T0336
Histidine 5 100 T0336
Alanine 12 260 T0336
Aspartic acid 87 1820 T0336
Glutamic acid 25 520 T0336
Glycine 9 180 T0336
Proline 92 1920 T0336
label: Leucine||15||320||T0336
Lysine||14||300||T0336
Methionine||3||60||T0336
Cystine||1||20||T0336
Phenylalanine||8||160||T0336
Tyrosine||5||100||T0336
Threonine||9||180||T0336
Tryptophan||3||60||T0336
Valine||12||240||T0336
Arginine||7||140||T0336
Histidine||5||100||T0336
Alanine||12||260||T0336
Aspartic acid||87||1820||T0336
Glutamic acid||25||520||T0336
Glycine||9||180||T0336
Proline||92||1920||T0336
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:
Ir a narración Zaragoza - Lugo 0 1
Ir a narración Mallorca - Alcorcón 2 1
Ir a narración Numancia - L.Palmas 1 1
Ir a narración Deportivo - Murcia 0 1
Ir a narración Ponferradina - Sporting 2 2
Ir a narración Tenerife - Barcelona B 2 2
Ir a narración Real Jaén - Girona 3 1
Ir a narración Real Madrid Castilla - Mirandés 0 1
Ir a narración Eibar - Córdoba 1 0



TEGRA_table_txt_file: table_265.txt
TEGRA_TABLE_TEXT: Ir a narración Zaragoza - Lugo 0 1
Ir a narración Mallorca - Alcorcón 2 1
Ir a narración Numancia - L.Palmas 1 1
Ir a narración Deportivo - Murcia 0 1
Ir a narración Ponferradina - Sporting 2 2
Ir a narración Tenerife - Barcelona B 2 2
Ir a narración Real Jaén - Girona 3 1
Ir a narración Real Madrid Castilla - Mirandés 0 1
Ir a narración Eibar - Córdoba 1 0
label: Ir a narración||Zaragoza||-||Lugo||0 1
Ir a narración||Mallorca||-||Alcorcón||2 1
Ir a narración||Numancia||-||L.Palmas||1 1
Ir a narración||Deportivo||-||Murcia||0 1
Ir a narración||Ponferradina||-||Sporting||2 2
Ir a narración||Tenerife||-||Barcelona B||2 2
Ir a narración||Real Jaén||-||Girona||3 1
Ir a narración||Real Madrid Castilla||-||Mirandés||0 1
Ir a narración||Eibar||-||Córdoba||1 0
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
&mdash;&mdash; Jackass Presents: Bad Grandpa Oct 25
93% Blue Is The Warmest Color Oct 25
70% Blood Brother Oct 25
100% I Am Divine Oct 25
80% Capital Oct 25
55% The Bastards Oct 23
&mdash;&mdash; Six Acts Oct 24
&mdash;&mdash; Spinning Plates Oct 25



TEGRA_table_txt_file: table_7582.txt
TEGRA_TABLE_TEXT: &mdash;&mdash; Jackass Presents: Bad Grandpa Oct 25
93% Blue Is The Warmest Color Oct 25
70% Blood Brother Oct 25
100% I Am Divine Oct 25
80% Capital Oct 25
55% The Bastards Oct 23
&mdash;&mdash; Six Acts Oct 24
&mdash;&mdash; Spinning Plates Oct 25
label: &mdash;&mdash;||Jackass Presents: Bad Grandpa||Oct 25
93%||Blue Is The Warmest Color||Oct 25
70%||Blood Brother||Oct 25
100%||I Am Divine||Oct 25
80%||Capital||Oct 25
55%||The Bastards||Oct 23
&mdash;&mdash;||Six Acts||Oct 24
&mdash;&mdash;||Spinning Plates||Oct 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:
Salary (3) $41,061 $39k $42k
Bonuses (0) n/a No Reports
Cash Bonus (0) n/a No Reports
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 $40k $41k $42k



TEGRA_table_txt_file: table_8527.txt
TEGRA_TABLE_TEXT: Salary (3) $41,061 $39k $42k
Bonuses (0) n/a No Reports
Cash Bonus (0) n/a No Reports
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 $40k $41k $42k
label: Salary (3)||$41,061||$39k $42k
Bonuses (0)||n/a||No Reports
Cash Bonus (0)||n/a||No Reports
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||$40k $41k $42k
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:
Ir a narración Manchester C. - Hull City 2 0
Ir a narración Cardiff City - Everton 0 0
Ir a narración Norwich City - Southampton 1 0
Ir a narración Newcastle United - Fulham 1 0
Ir a narración West Ham United - Stoke City 0 1
Ir a narración Crystal Palace - Sunderland 3 1
Ir a narración West Bromwich Albion - Swansea City 0 2
Ir a narración Liverpool - M. United 1 0



TEGRA_table_txt_file: table_270.txt
TEGRA_TABLE_TEXT: Ir a narración Manchester C. - Hull City 2 0
Ir a narración Cardiff City - Everton 0 0
Ir a narración Norwich City - Southampton 1 0
Ir a narración Newcastle United - Fulham 1 0
Ir a narración West Ham United - Stoke City 0 1
Ir a narración Crystal Palace - Sunderland 3 1
Ir a narración West Bromwich Albion - Swansea City 0 2
Ir a narración Liverpool - M. United 1 0
label: Ir a narración||Manchester C.||-||Hull City||2 0
Ir a narración||Cardiff City||-||Everton||0 0
Ir a narración||Norwich City||-||Southampton||1 0
Ir a narración||Newcastle United||-||Fulham||1 0
Ir a narración||West Ham United||-||Stoke City||0 1
Ir a narración||Crystal Palace||-||Sunderland||3 1
Ir a narración||West Bromwich Albion||-||Swansea City||0 2
Ir a narración||Liverpool||-||M. United||1 0
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
2 Liverpool FC 7 11:5 16
3 Chelsea FC 7 10:4 14
4 Southampton FC 7 7:2 14
5 Manchester City 7 17:8 13
6 Tottenham Hotspur 7 6:5 13
7 Everton FC 7 10:9 12
8 Hull City 7 6:7 11
9 Manchester United 7 10:9 10
10 Aston Villa 7 9:8 10
11 Newcastle United 7 9:12 10
12 West Bromwich Albion 7 7:6 9
13 West Ham United 7 7:5 8
14 Cardiff City 7 7:9 8
15 Swansea City 7 8:11 7
16 Stoke City 7 4:7 7
17 Fulham FC 7 5:9 7
 Norwich City 7 5:9 7
19 Crystal Palace 7 5:13 3



TEGRA_table_txt_file: table_5554.txt
TEGRA_TABLE_TEXT: 2 Liverpool FC 7 11:5 16
3 Chelsea FC 7 10:4 14
4 Southampton FC 7 7:2 14
5 Manchester City 7 17:8 13
6 Tottenham Hotspur 7 6:5 13
7 Everton FC 7 10:9 12
8 Hull City 7 6:7 11
9 Manchester United 7 10:9 10
10 Aston Villa 7 9:8 10
11 Newcastle United 7 9:12 10
12 West Bromwich Albion 7 7:6 9
13 West Ham United 7 7:5 8
14 Cardiff City 7 7:9 8
15 Swansea City 7 8:11 7
16 Stoke City 7 4:7 7
17 Fulham FC 7 5:9 7
 Norwich City 7 5:9 7
19 Crystal Palace 7 5:13 3
label: 2||Liverpool FC||7||11:5||16
3||Chelsea FC||7||10:4||14
4||Southampton FC||7||7:2||14
5||Manchester City||7||17:8||13
6||Tottenham Hotspur||7||6:5||13
7||Everton FC||7||10:9||12
8||Hull City||7||6:7||11
9||Manchester United||7||10:9||10
10||Aston Villa||7||9:8||10
11||Newcastle United||7||9:12||10
12||West Bromwich Albion||7||7:6||9
13||West Ham United||7||7:5||8
14||Cardiff City||7||7:9||8
15||Swansea City||7||8:11||7
16||Stoke City||7||4:7||7
17||Fulham FC||7||5:9||7
||Norwich City||7||5:9||7
19||Crystal Palace||7||5:13||3
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
2. (2.) Bor. Dortmund 9 22:7 22
3. (3.) Bay. Leverkusen 9 20:9 22
4. (4.) Hertha BSC 9 15:9 15
5. (5.) FC Schalke 04 9 17:19 14
6. (6.) Bor. M'gladbach 9 19:14 13
7. (7.) Hannover 96 9 11:12 13
8. (8.) VfB Stuttgart 9 19:13 12
9. (9.) VfL Wolfsburg 9 11:12 12
10. (10.) Werder Bremen 9 9:12 12
11. (11.) 1899 Hoffenheim 9 21:22 10
12. (12.) Eintr. Frankfurt 9 12:14 10
13. (13.) FC Augsburg 9 10:17 10
14. (14.) 1. FSV Mainz 05 9 13:21 10
15. (15.) Hamburger SV 9 20:22 9
16. (16.) 1. FC Nürnberg 9 10:18 6
17. (17.) SC Freiburg 9 9:18 5



TEGRA_table_txt_file: table_6506.txt
TEGRA_TABLE_TEXT: 2. (2.) Bor. Dortmund 9 22:7 22
3. (3.) Bay. Leverkusen 9 20:9 22
4. (4.) Hertha BSC 9 15:9 15
5. (5.) FC Schalke 04 9 17:19 14
6. (6.) Bor. M'gladbach 9 19:14 13
7. (7.) Hannover 96 9 11:12 13
8. (8.) VfB Stuttgart 9 19:13 12
9. (9.) VfL Wolfsburg 9 11:12 12
10. (10.) Werder Bremen 9 9:12 12
11. (11.) 1899 Hoffenheim 9 21:22 10
12. (12.) Eintr. Frankfurt 9 12:14 10
13. (13.) FC Augsburg 9 10:17 10
14. (14.) 1. FSV Mainz 05 9 13:21 10
15. (15.) Hamburger SV 9 20:22 9
16. (16.) 1. FC Nürnberg 9 10:18 6
17. (17.) SC Freiburg 9 9:18 5
label: 2. (2.)||Bor. Dortmund||9||22:7||22
3. (3.)||Bay. Leverkusen||9||20:9||22
4. (4.)||Hertha BSC||9||15:9||15
5. (5.)||FC Schalke 04||9||17:19||14
6. (6.)||Bor. M'gladbach||9||19:14||13
7. (7.)||Hannover 96||9||11:12||13
8. (8.)||VfB Stuttgart||9||19:13||12
9. (9.)||VfL Wolfsburg||9||11:12||12
10. (10.)||Werder Bremen||9||9:12||12
11. (11.)||1899 Hoffenheim||9||21:22||10
12. (12.)||Eintr. Frankfurt||9||12:14||10
13. (13.)||FC Augsburg||9||10:17||10
14. (14.)||1. FSV Mainz 05||9||13:21||10
15. (15.)||Hamburger SV||9||20:22||9
16. (16.)||1. FC Nürnberg||9||10:18||6
17. (17.)||SC Freiburg||9||9:18||5
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:
02. Lieutenant Colonel Thanga Pottuamman's Son
03. Lieutenant Colonel Malarawan Master Intelligence
04. -- Nadeshan Intelligence
05. -- Illango Sea Tiger
06. Lieutenant Colonel Selvam 



TEGRA_table_txt_file: table_126.txt
TEGRA_TABLE_TEXT: 02. Lieutenant Colonel Thanga Pottuamman's Son
03. Lieutenant Colonel Malarawan Master Intelligence
04. -- Nadeshan Intelligence
05. -- Illango Sea Tiger
06. Lieutenant Colonel Selvam 
label: 02.||Lieutenant Colonel||Thanga||Pottuamman's Son
03.||Lieutenant Colonel||Malarawan Master||Intelligence
04.||--||Nadeshan||Intelligence
05.||--||Illango||Sea Tiger
06.||Lieutenant Colonel||Selvam||
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 Aug Numis 78.00 Buy
10 Jul Numis 78.00 Buy
21 Jun Jefferies... 15.00 Hold
4 Jun Goldman Sachs 47.00 Buy
16 Apr Fox-Davies 18.00 Hold
9 Apr Sanlam... 87.40 Buy
8 Apr Fox-Davies 18.00 Hold
8 Apr Panmure Gordon 68.00 Buy



TEGRA_table_txt_file: table_7936.txt
TEGRA_TABLE_TEXT: 1 Aug Numis 78.00 Buy
10 Jul Numis 78.00 Buy
21 Jun Jefferies... 15.00 Hold
4 Jun Goldman Sachs 47.00 Buy
16 Apr Fox-Davies 18.00 Hold
9 Apr Sanlam... 87.40 Buy
8 Apr Fox-Davies 18.00 Hold
8 Apr Panmure Gordon 68.00 Buy
label: 1 Aug||Numis||78.00||Buy
10 Jul||Numis||78.00||Buy
21 Jun||Jefferies...||15.00||Hold
4 Jun||Goldman Sachs||47.00||Buy
16 Apr||Fox-Davies||18.00||Hold
9 Apr||Sanlam...||87.40||Buy
8 Apr||Fox-Davies||18.00||Hold
8 Apr||Panmure Gordon||68.00||Buy
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
udp://tracker.openbittorrent.com:80/announce outdated 01 Jun 2013 - - -
udp://tracker.publicbt.com:80/announce outdated 01 Jun 2013 - - -
udp://tracker.istole.it:80/announce outdated 01 Jun 2013 - - -
udp://fr33dom.h33t.com:3310/announce deleted 01 Jun 2013 - - -
udp://fr33domtracker.h33t.com:3310/announce deleted 01 Jun 2013 - - -
udp://www.h33t.com:3310/announce deleted 01 Jun 2013 - - -
http://fr33dom.h33t.com:3310/announce deleted 01 Jun 2013 - - -
udp://11.rarbg.com:80/announce private 01 Jun 2013 206 66 10



TEGRA_table_txt_file: table_115.txt
TEGRA_TABLE_TEXT: udp://tracker.openbittorrent.com:80/announce outdated 01 Jun 2013 - - -
udp://tracker.publicbt.com:80/announce outdated 01 Jun 2013 - - -
udp://tracker.istole.it:80/announce outdated 01 Jun 2013 - - -
udp://fr33dom.h33t.com:3310/announce deleted 01 Jun 2013 - - -
udp://fr33domtracker.h33t.com:3310/announce deleted 01 Jun 2013 - - -
udp://www.h33t.com:3310/announce deleted 01 Jun 2013 - - -
http://fr33dom.h33t.com:3310/announce deleted 01 Jun 2013 - - -
udp://11.rarbg.com:80/announce private 01 Jun 2013 206 66 10
label: udp://tracker.openbittorrent.com:80/announce||outdated||01 Jun 2013||-||-||-
udp://tracker.publicbt.com:80/announce||outdated||01 Jun 2013||-||-||-
udp://tracker.istole.it:80/announce||outdated||01 Jun 2013||-||-||-
udp://fr33dom.h33t.com:3310/announce||deleted||01 Jun 2013||-||-||-
udp://fr33domtracker.h33t.com:3310/announce||deleted||01 Jun 2013||-||-||-
udp://www.h33t.com:3310/announce||deleted||01 Jun 2013||-||-||-
http://fr33dom.h33t.com:3310/announce||deleted||01 Jun 2013||-||-||-
udp://11.rarbg.com:80/announce||private||01 Jun 2013||206||66||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:
5% 50% 95% 
0 46 50 55
1 50 54 57
2 53 57 61
3 56 60 64
4 58 63 67
5 60 65 70
6 63 67 72
7 64 69 74
8 66 71 75
 5% 50% 95%
9 68 72 77
10 69 74 78
11 70 75 79
12 71 76 81
13 72 77 82
14 74 78 83
15 75 79 85
16 76 80 86
17 77 81 87



TEGRA_table_txt_file: table_5172.txt
TEGRA_TABLE_TEXT: 5% 50% 95% 
0 46 50 55
1 50 54 57
2 53 57 61
3 56 60 64
4 58 63 67
5 60 65 70
6 63 67 72
7 64 69 74
8 66 71 75
 5% 50% 95%
9 68 72 77
10 69 74 78
11 70 75 79
12 71 76 81
13 72 77 82
14 74 78 83
15 75 79 85
16 76 80 86
17 77 81 87
label: 5%||50%||95%||
0||46||50||55
1||50||54||57
2||53||57||61
3||56||60||64
4||58||63||67
5||60||65||70
6||63||67||72
7||64||69||74
8||66||71||75
||5%||50%||95%
9||68||72||77
10||69||74||78
11||70||75||79
12||71||76||81
13||72||77||82
14||74||78||83
15||75||79||85
16||76||80||86
17||77||81||87