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:
1 ERNI, SE Kendari, 22-8-1982 S1 GURU IPS SMP SATAP 2 LAONTI
2 AHMADT, S.Sos.I Lapulu, 12-5-1982 S1 GURU IPS SMP SATAP N LABUAN BEROPA
3 HANTAL,S.Pd Namu, 25-3-1973 S1 MATEMATIKA SMP SATAP N 1 LAONTI
4 HAMJA HAMIDA,Ama..Pd Ambon, 12-10-1983 DII GURU IPA SMP SATAP N 1 LAONTI
5 RUSLAN, S.Ag Laonti, 15-10-1975 S1 GURU AGAMA SMP SATAP N 1 LAONTI
6 AHMAD, S.Ag Tambolosu, 7-1-1974 S1 GURU AGAMA SMP SATAP N 2 LAONTI
7 ROSMAYANTI, S.PdI Lapuko, 15-4-1983 S1 GURU AGAMA SMP SATAP N LABUAN BEROPA
8 NURMIN, S.Ag Bulukumba, 21-09-1975 S1 GURU AGAMA SMP SATAP N LAMBANDIA
9 NURPIANTI, S.Pdi Labuan Beropa, 20-8-1988 S.1 GURU AGAMA SMPN SATAP LABUAN BEROPA
10 TUGO Benua, 31 -6-1965 D.1 PGSLTP GURU IPS SMPN SATAP LAMBANDIA



TEGRA_table_txt_file: table_3711.txt
TEGRA_TABLE_TEXT: 1 ERNI, SE Kendari, 22-8-1982 S1 GURU IPS SMP SATAP 2 LAONTI
2 AHMADT, S.Sos.I Lapulu, 12-5-1982 S1 GURU IPS SMP SATAP N LABUAN BEROPA
3 HANTAL,S.Pd Namu, 25-3-1973 S1 MATEMATIKA SMP SATAP N 1 LAONTI
4 HAMJA HAMIDA,Ama..Pd Ambon, 12-10-1983 DII GURU IPA SMP SATAP N 1 LAONTI
5 RUSLAN, S.Ag Laonti, 15-10-1975 S1 GURU AGAMA SMP SATAP N 1 LAONTI
6 AHMAD, S.Ag Tambolosu, 7-1-1974 S1 GURU AGAMA SMP SATAP N 2 LAONTI
7 ROSMAYANTI, S.PdI Lapuko, 15-4-1983 S1 GURU AGAMA SMP SATAP N LABUAN BEROPA
8 NURMIN, S.Ag Bulukumba, 21-09-1975 S1 GURU AGAMA SMP SATAP N LAMBANDIA
9 NURPIANTI, S.Pdi Labuan Beropa, 20-8-1988 S.1 GURU AGAMA SMPN SATAP LABUAN BEROPA
10 TUGO Benua, 31 -6-1965 D.1 PGSLTP GURU IPS SMPN SATAP LAMBANDIA
label: 1||ERNI, SE||Kendari, 22-8-1982||S1||GURU IPS||SMP SATAP 2 LAONTI
2||AHMADT, S.Sos.I||Lapulu, 12-5-1982||S1||GURU IPS||SMP SATAP N LABUAN BEROPA
3||HANTAL,S.Pd||Namu, 25-3-1973||S1||MATEMATIKA||SMP SATAP N 1 LAONTI
4||HAMJA HAMIDA,Ama..Pd||Ambon, 12-10-1983||DII||GURU IPA||SMP SATAP N 1 LAONTI
5||RUSLAN, S.Ag||Laonti, 15-10-1975||S1||GURU AGAMA||SMP SATAP N 1 LAONTI
6||AHMAD, S.Ag||Tambolosu, 7-1-1974||S1||GURU AGAMA||SMP SATAP N 2 LAONTI
7||ROSMAYANTI, S.PdI||Lapuko, 15-4-1983||S1||GURU AGAMA||SMP SATAP N LABUAN BEROPA
8||NURMIN, S.Ag||Bulukumba, 21-09-1975||S1||GURU AGAMA||SMP SATAP N LAMBANDIA
9||NURPIANTI, S.Pdi||Labuan Beropa, 20-8-1988||S.1||GURU AGAMA||SMPN SATAP LABUAN BEROPA
10||TUGO||Benua, 31 -6-1965||D.1 PGSLTP||GURU IPS||SMPN SATAP LAMBANDIA
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:
6:00 PM - 7:00 PM Rhythmic Pilates Sarita Allen
6:30 PM - 7:30 PM SharQui - The Bellydance Workout® Sharon Zaslaw
6:30 PM - 8:00 PM Beginner West African Maguette Camara
7:00 PM - 8:30 PM Advanced Beginner Ballet Finis Jhung
7:00 PM - 8:30 PM Beginner Hip-Hop Jonathan Lee
7:30 PM - 9:00 PM Contemporary Dance Michael Leon Thomas
7:30 PM - 9:00 PM Intermediate Theatre Dance Vic DiMonda
7:30 PM - 9:30 PM Beginner Capoeira EXTRA SUB: Pião



TEGRA_table_txt_file: table_8037.txt
TEGRA_TABLE_TEXT: 6:00 PM - 7:00 PM Rhythmic Pilates Sarita Allen
6:30 PM - 7:30 PM SharQui - The Bellydance Workout® Sharon Zaslaw
6:30 PM - 8:00 PM Beginner West African Maguette Camara
7:00 PM - 8:30 PM Advanced Beginner Ballet Finis Jhung
7:00 PM - 8:30 PM Beginner Hip-Hop Jonathan Lee
7:30 PM - 9:00 PM Contemporary Dance Michael Leon Thomas
7:30 PM - 9:00 PM Intermediate Theatre Dance Vic DiMonda
7:30 PM - 9:30 PM Beginner Capoeira EXTRA SUB: Pião
label: 6:00 PM - 7:00 PM||Rhythmic Pilates||Sarita Allen
6:30 PM - 7:30 PM||SharQui - The Bellydance Workout®||Sharon Zaslaw
6:30 PM - 8:00 PM||Beginner West African||Maguette Camara
7:00 PM - 8:30 PM||Advanced Beginner Ballet||Finis Jhung
7:00 PM - 8:30 PM||Beginner Hip-Hop||Jonathan Lee
7:30 PM - 9:00 PM||Contemporary Dance||Michael Leon Thomas
7:30 PM - 9:00 PM||Intermediate Theatre Dance||Vic DiMonda
7:30 PM - 9:30 PM||Beginner Capoeira EXTRA||SUB: Pião
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:
fev 10,1 46 54 4,2
mars 14,4 53 50 5,9
avr 16,9 50 49 6,6
mai 20,3 75 50 7,2
juin 24,4 61 49 7,8
juil 26,8 44 48 8,5
août 26,8 54 48 8,2
sep 23,7 64 51 6,9
oct 18,3 45 52 5,4
nov 12,7 51 58 3,1



TEGRA_table_txt_file: table_6938.txt
TEGRA_TABLE_TEXT: fev 10,1 46 54 4,2
mars 14,4 53 50 5,9
avr 16,9 50 49 6,6
mai 20,3 75 50 7,2
juin 24,4 61 49 7,8
juil 26,8 44 48 8,5
août 26,8 54 48 8,2
sep 23,7 64 51 6,9
oct 18,3 45 52 5,4
nov 12,7 51 58 3,1
label: fev||10,1||46||54||4,2
mars||14,4||53||50||5,9
avr||16,9||50||49||6,6
mai||20,3||75||50||7,2
juin||24,4||61||49||7,8
juil||26,8||44||48||8,5
août||26,8||54||48||8,2
sep||23,7||64||51||6,9
oct||18,3||45||52||5,4
nov||12,7||51||58||3,1
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
Re: importing from autocad Chris Beckcom Jan 25, 2006
Re: importing from autocad Ray Carnes Jan 25, 2006
Re: importing from autocad Wendy Berelson May 09, 2006
Re: importing from autocad Ray Carnes May 10, 2006
Re: importing from autocad Wendy Berelson May 10, 2006
Re: importing from autocad john bryson Sep 06, 2006
Re: importing from autocad Ray Carnes Sep 06, 2006
Re: importing from autocad john bryson Sep 06, 2006
Re: importing from autocad Ray Carnes Sep 06, 2006
Re: importing from autocad Chris Beckcom Sep 07, 2006
Re: importing from autocad anthony macharia Oct 04, 2006
Re: importing from autocad Manoj Garg Oct 05, 2006



TEGRA_table_txt_file: table_4997.txt
TEGRA_TABLE_TEXT: Re: importing from autocad Chris Beckcom Jan 25, 2006
Re: importing from autocad Ray Carnes Jan 25, 2006
Re: importing from autocad Wendy Berelson May 09, 2006
Re: importing from autocad Ray Carnes May 10, 2006
Re: importing from autocad Wendy Berelson May 10, 2006
Re: importing from autocad john bryson Sep 06, 2006
Re: importing from autocad Ray Carnes Sep 06, 2006
Re: importing from autocad john bryson Sep 06, 2006
Re: importing from autocad Ray Carnes Sep 06, 2006
Re: importing from autocad Chris Beckcom Sep 07, 2006
Re: importing from autocad anthony macharia Oct 04, 2006
Re: importing from autocad Manoj Garg Oct 05, 2006
label: Re: importing from autocad||Chris Beckcom||Jan 25, 2006
Re: importing from autocad||Ray Carnes||Jan 25, 2006
Re: importing from autocad||Wendy Berelson||May 09, 2006
Re: importing from autocad||Ray Carnes||May 10, 2006
Re: importing from autocad||Wendy Berelson||May 10, 2006
Re: importing from autocad||john bryson||Sep 06, 2006
Re: importing from autocad||Ray Carnes||Sep 06, 2006
Re: importing from autocad||john bryson||Sep 06, 2006
Re: importing from autocad||Ray Carnes||Sep 06, 2006
Re: importing from autocad||Chris Beckcom||Sep 07, 2006
Re: importing from autocad||anthony macharia||Oct 04, 2006
Re: importing from autocad||Manoj Garg||Oct 05, 2006
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) $96,167 $89k $102k
Bonuses (2) $10,850 $10k $12k
Cash Bonus (2) $10,850 $10k $12k
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 $10k $50k $90k



TEGRA_table_txt_file: table_784.txt
TEGRA_TABLE_TEXT: Salary (3) $96,167 $89k $102k
Bonuses (2) $10,850 $10k $12k
Cash Bonus (2) $10,850 $10k $12k
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 $10k $50k $90k
label: Salary (3)||$96,167||$89k $102k
Bonuses (2)||$10,850||$10k $12k
Cash Bonus (2)||$10,850||$10k $12k
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||$10k $50k $90k
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:
LG 1302-07 Sheet, Optical lens, Appliances, Film PROPERTY MSDS UL
LG 1302-10 Sheet, Optical lens, Appliances, Film PROPERTY MSDS UL
LG 1302UV-08 Lenses,Sun Glasses,Goggles,Appliances PROPERTY MSDS UL
LG 1303-07 Sheet, Optical lens, Appliances, Film PROPERTY MSDS UL
LG 1303-10C Appliances,Automotive components,Outdoor appliances PROPERTY MSDS UL
LG 1303-15 Automotive headlamps,Outdoor appliances PROPERTY MSDS UL
LG 1303AH-10 Automotive headlamps,Outdoor applications PROPERTY MSDS UL
LG 1303AH-15 Automotive headlamps,Outdoor applications PROPERTY MSDS UL



TEGRA_table_txt_file: table_973.txt
TEGRA_TABLE_TEXT: LG 1302-07 Sheet, Optical lens, Appliances, Film PROPERTY MSDS UL
LG 1302-10 Sheet, Optical lens, Appliances, Film PROPERTY MSDS UL
LG 1302UV-08 Lenses,Sun Glasses,Goggles,Appliances PROPERTY MSDS UL
LG 1303-07 Sheet, Optical lens, Appliances, Film PROPERTY MSDS UL
LG 1303-10C Appliances,Automotive components,Outdoor appliances PROPERTY MSDS UL
LG 1303-15 Automotive headlamps,Outdoor appliances PROPERTY MSDS UL
LG 1303AH-10 Automotive headlamps,Outdoor applications PROPERTY MSDS UL
LG 1303AH-15 Automotive headlamps,Outdoor applications PROPERTY MSDS UL
label: LG 1302-07||Sheet, Optical lens, Appliances, Film||PROPERTY MSDS UL
LG 1302-10||Sheet, Optical lens, Appliances, Film||PROPERTY MSDS UL
LG 1302UV-08||Lenses,Sun Glasses,Goggles,Appliances||PROPERTY MSDS UL
LG 1303-07||Sheet, Optical lens, Appliances, Film||PROPERTY MSDS UL
LG 1303-10C||Appliances,Automotive components,Outdoor appliances||PROPERTY MSDS UL
LG 1303-15||Automotive headlamps,Outdoor appliances||PROPERTY MSDS UL
LG 1303AH-10||Automotive headlamps,Outdoor applications||PROPERTY MSDS UL
LG 1303AH-15||Automotive headlamps,Outdoor applications||PROPERTY MSDS UL
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:
Cesium-137 0.06 + 0.03 0.02
Radium-226 Bismuth 2.4 + 0.2 0.04
Radium-226 Lead 2.7 + 0.2 0.04
Radium-228 Actinium 2.5 + 0.2 0.07
Thorium-228 Lead 2.7 + 0.2 0.03
Thorium-228 Thallium 2.7 + 0.3 0.07



TEGRA_table_txt_file: table_4888.txt
TEGRA_TABLE_TEXT: Cesium-137 0.06 + 0.03 0.02
Radium-226 Bismuth 2.4 + 0.2 0.04
Radium-226 Lead 2.7 + 0.2 0.04
Radium-228 Actinium 2.5 + 0.2 0.07
Thorium-228 Lead 2.7 + 0.2 0.03
Thorium-228 Thallium 2.7 + 0.3 0.07
label: Cesium-137||0.06 + 0.03||0.02
Radium-226 Bismuth||2.4 + 0.2||0.04
Radium-226 Lead||2.7 + 0.2||0.04
Radium-228 Actinium||2.5 + 0.2||0.07
Thorium-228 Lead||2.7 + 0.2||0.03
Thorium-228 Thallium||2.7 + 0.3||0.07
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:
Seat tube (center-top) 18.9in(48cm) 20.1in(51cm) 21.3in(54cm) 22.4in(57cm) 23.6in(60cm)
Actual Top Tube 20.1in(51cm) 20.9in(53cm) 21.7in(55cm) 22.4in(57cm) 23.0in(58.5cm)
Effective Top Tube 20.7in(52.5cm) 21.5in(54.5cm) 22.2in(56.5cm) 23.0in(58.5cm) 23.6in(60cm)
Head Tube 5.1in(13cm) 5.7in(14.5cm) 6.9in(17.5cm) 8.1in(20.5cm) 9.1in(23cm)
Seat Tube Angle 74deg 73.5deg 73deg 72.5deg 72.5deg
Head Tube Angle 72deg 73deg 73.5deg 73.5deg 74deg
Chainstay 15.9in(40.5cm) 15.9in(40.5cm) 15.9in(40.5cm) 16.1in(40.8cm) 16.1in(40.8cm)
BB Drop 2.6in(6.6cm) 2.6in(6.6cm) 2.6in(6.6cm) 2.5in(6.3cm) 2.5in(6.3cm)
Wheelbase 38.3in(97.4cm) 38.5in(97.7cm) 39.0in(99cm) 39.5in(100.3cm) 39.8in(101.2cm)



TEGRA_table_txt_file: table_4051.txt
TEGRA_TABLE_TEXT: Seat tube (center-top) 18.9in(48cm) 20.1in(51cm) 21.3in(54cm) 22.4in(57cm) 23.6in(60cm)
Actual Top Tube 20.1in(51cm) 20.9in(53cm) 21.7in(55cm) 22.4in(57cm) 23.0in(58.5cm)
Effective Top Tube 20.7in(52.5cm) 21.5in(54.5cm) 22.2in(56.5cm) 23.0in(58.5cm) 23.6in(60cm)
Head Tube 5.1in(13cm) 5.7in(14.5cm) 6.9in(17.5cm) 8.1in(20.5cm) 9.1in(23cm)
Seat Tube Angle 74deg 73.5deg 73deg 72.5deg 72.5deg
Head Tube Angle 72deg 73deg 73.5deg 73.5deg 74deg
Chainstay 15.9in(40.5cm) 15.9in(40.5cm) 15.9in(40.5cm) 16.1in(40.8cm) 16.1in(40.8cm)
BB Drop 2.6in(6.6cm) 2.6in(6.6cm) 2.6in(6.6cm) 2.5in(6.3cm) 2.5in(6.3cm)
Wheelbase 38.3in(97.4cm) 38.5in(97.7cm) 39.0in(99cm) 39.5in(100.3cm) 39.8in(101.2cm)
label: Seat tube (center-top)||18.9in(48cm)||20.1in(51cm)||21.3in(54cm)||22.4in(57cm)||23.6in(60cm)
Actual Top Tube||20.1in(51cm)||20.9in(53cm)||21.7in(55cm)||22.4in(57cm)||23.0in(58.5cm)
Effective Top Tube||20.7in(52.5cm)||21.5in(54.5cm)||22.2in(56.5cm)||23.0in(58.5cm)||23.6in(60cm)
Head Tube||5.1in(13cm)||5.7in(14.5cm)||6.9in(17.5cm)||8.1in(20.5cm)||9.1in(23cm)
Seat Tube Angle||74deg||73.5deg||73deg||72.5deg||72.5deg
Head Tube Angle||72deg||73deg||73.5deg||73.5deg||74deg
Chainstay||15.9in(40.5cm)||15.9in(40.5cm)||15.9in(40.5cm)||16.1in(40.8cm)||16.1in(40.8cm)
BB Drop||2.6in(6.6cm)||2.6in(6.6cm)||2.6in(6.6cm)||2.5in(6.3cm)||2.5in(6.3cm)
Wheelbase||38.3in(97.4cm)||38.5in(97.7cm)||39.0in(99cm)||39.5in(100.3cm)||39.8in(101.2cm)
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
2 Napoli 6 0 19
3 Juventus 6 0 19
4 Inter 4 1 15
5 Hellas Verona 4 2 13
6 Fiorentina 3 1 12
7 Lazio 3 2 11
8 Torino 2 2 10
9 Udinese 3 3 10
10 Parma 2 2 9
11 Atalanta 3 4 9
12 Milan 2 3 8
13 Livorno 2 3 8
14 Cagliari 1 2 7
15 Genoa 1 4 5
16 Catania 1 4 5
17 Chievo 1 5 4
18 Sampdoria 0 4 3
19 Bologna 0 4 3



TEGRA_table_txt_file: table_4941.txt
TEGRA_TABLE_TEXT: 2 Napoli 6 0 19
3 Juventus 6 0 19
4 Inter 4 1 15
5 Hellas Verona 4 2 13
6 Fiorentina 3 1 12
7 Lazio 3 2 11
8 Torino 2 2 10
9 Udinese 3 3 10
10 Parma 2 2 9
11 Atalanta 3 4 9
12 Milan 2 3 8
13 Livorno 2 3 8
14 Cagliari 1 2 7
15 Genoa 1 4 5
16 Catania 1 4 5
17 Chievo 1 5 4
18 Sampdoria 0 4 3
19 Bologna 0 4 3
label: 2||Napoli||6||0||19
3||Juventus||6||0||19
4||Inter||4||1||15
5||Hellas Verona||4||2||13
6||Fiorentina||3||1||12
7||Lazio||3||2||11
8||Torino||2||2||10
9||Udinese||3||3||10
10||Parma||2||2||9
11||Atalanta||3||4||9
12||Milan||2||3||8
13||Livorno||2||3||8
14||Cagliari||1||2||7
15||Genoa||1||4||5
16||Catania||1||4||5
17||Chievo||1||5||4
18||Sampdoria||0||4||3
19||Bologna||0||4||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:
Meister Matthias Chlewigenmatt 15 6055 Alpnach Dorf
Felder Stefan Baumlisberg 1 6055 Alpnach Dorf
Kasper Lukas Gässli 4 6055 Alpnach Dorf
Disch Markus Aeramunt 8 7231 Pragg-Jenaz
Rychener Rahel Ober-Sörenberg 6174 Sörenberg
Wallimann Matthias Brünigstrasse 56 6055 Alpnach Dorf



TEGRA_table_txt_file: table_3121.txt
TEGRA_TABLE_TEXT: Meister Matthias Chlewigenmatt 15 6055 Alpnach Dorf
Felder Stefan Baumlisberg 1 6055 Alpnach Dorf
Kasper Lukas Gässli 4 6055 Alpnach Dorf
Disch Markus Aeramunt 8 7231 Pragg-Jenaz
Rychener Rahel Ober-Sörenberg 6174 Sörenberg
Wallimann Matthias Brünigstrasse 56 6055 Alpnach Dorf
label: Meister Matthias||Chlewigenmatt 15||6055 Alpnach Dorf
Felder Stefan||Baumlisberg 1||6055 Alpnach Dorf
Kasper Lukas||Gässli 4||6055 Alpnach Dorf
Disch Markus||Aeramunt 8||7231 Pragg-Jenaz
Rychener Rahel||Ober-Sörenberg||6174 Sörenberg
Wallimann Matthias||Brünigstrasse 56||6055 Alpnach Dorf
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:
interroga__ión c cc maldi__ión c cc
refra__ión c cc ordena__ión c cc
infra__ión c cc afli__ión c cc
confe__ión c cc suje__ión c cc
inye__ión c cc di__ión c cc
infla__ión c cc exhibi__ión c cc
infra__ión c cc exclama_ión c cc
condena__ión c cc sustra__ión c cc
discre__ión c cc reprodu__ión c cc
afi__ión c cc adi__ión ( de suma) c cc
fra__ión c cc tradu__ión c cc
ele__ión c cc constru__ión c cc
produ__ión c cc nutri__ión c cc
intoxica__ion c cc indica__ión c cc
recole__ión c cc adi__ión (de hábito) c cc
implica__ión c cc genera__ión c cc
fri__ión c cc satisfa__ión c cc
lo_ión c cc corre__ión c cc



TEGRA_table_txt_file: table_203.txt
TEGRA_TABLE_TEXT: interroga__ión c cc maldi__ión c cc
refra__ión c cc ordena__ión c cc
infra__ión c cc afli__ión c cc
confe__ión c cc suje__ión c cc
inye__ión c cc di__ión c cc
infla__ión c cc exhibi__ión c cc
infra__ión c cc exclama_ión c cc
condena__ión c cc sustra__ión c cc
discre__ión c cc reprodu__ión c cc
afi__ión c cc adi__ión ( de suma) c cc
fra__ión c cc tradu__ión c cc
ele__ión c cc constru__ión c cc
produ__ión c cc nutri__ión c cc
intoxica__ion c cc indica__ión c cc
recole__ión c cc adi__ión (de hábito) c cc
implica__ión c cc genera__ión c cc
fri__ión c cc satisfa__ión c cc
lo_ión c cc corre__ión c cc
label: interroga__ión||c cc||maldi__ión||c cc
refra__ión||c cc||ordena__ión||c cc
infra__ión||c cc||afli__ión||c cc
confe__ión||c cc||suje__ión||c cc
inye__ión||c cc||di__ión||c cc
infla__ión||c cc||exhibi__ión||c cc
infra__ión||c cc||exclama_ión||c cc
condena__ión||c cc||sustra__ión||c cc
discre__ión||c cc||reprodu__ión||c cc
afi__ión||c cc||adi__ión ( de suma)||c cc
fra__ión||c cc||tradu__ión||c cc
ele__ión||c cc||constru__ión||c cc
produ__ión||c cc||nutri__ión||c cc
intoxica__ion||c cc||indica__ión||c cc
recole__ión||c cc||adi__ión (de hábito)||c cc
implica__ión||c cc||genera__ión||c cc
fri__ión||c cc||satisfa__ión||c cc
lo_ión||c cc||corre__ión||c cc
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:
Date Time Opponent Score: CU Opp.
Sep 7th 12:00 pm UNC-Charlotte (FCS) 7 47
Sep 14th 12:00 pm Alderson-Broaddus 60 39
Sep 21st 1:00 pm Sacred Heart (D3) 35 78
Sep 28th 6:00 pm Shaw 29 23
Oct 5th 4:00 pm Fayetteville State 29 35
Oct 12th 1:00 pm Bowie State 31 21
Oct 19th 1:00 pm Virginia Union 14 24
Oct 26th 3:00 pm Elizabeth City N/A 
Nov 2nd 1:00 pm Virginia State N/A 



TEGRA_table_txt_file: table_6894.txt
TEGRA_TABLE_TEXT: Date Time Opponent Score: CU Opp.
Sep 7th 12:00 pm UNC-Charlotte (FCS) 7 47
Sep 14th 12:00 pm Alderson-Broaddus 60 39
Sep 21st 1:00 pm Sacred Heart (D3) 35 78
Sep 28th 6:00 pm Shaw 29 23
Oct 5th 4:00 pm Fayetteville State 29 35
Oct 12th 1:00 pm Bowie State 31 21
Oct 19th 1:00 pm Virginia Union 14 24
Oct 26th 3:00 pm Elizabeth City N/A 
Nov 2nd 1:00 pm Virginia State N/A 
label: Date||Time||Opponent||Score: CU||Opp.
Sep 7th||12:00 pm||UNC-Charlotte (FCS)||7||47
Sep 14th||12:00 pm||Alderson-Broaddus||60||39
Sep 21st||1:00 pm||Sacred Heart (D3)||35||78
Sep 28th||6:00 pm||Shaw||29||23
Oct 5th||4:00 pm||Fayetteville State||29||35
Oct 12th||1:00 pm||Bowie State||31||21
Oct 19th||1:00 pm||Virginia Union||14||24
Oct 26th||3:00 pm||Elizabeth City||N/A||
Nov 2nd||1:00 pm||Virginia State||N/A||
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
2&ordm; Vitória 25 14 8 1 5 23 18 5 59%
3&ordm; Ipatinga 24 14 7 3 4 21 15 6 57%
4&ordm; Barueri 23 14 7 2 5 27 22 5 54%
5&ordm; Ferroviário-CE 19 14 6 1 7 21 26 -5 45%
6&ordm; Bahia 14 14 4 2 8 21 30 -9 33%
7&ordm; Brasil 13 14 4 1 9 16 25 -9 30%



TEGRA_table_txt_file: table_6823.txt
TEGRA_TABLE_TEXT: 2&ordm; Vitória 25 14 8 1 5 23 18 5 59%
3&ordm; Ipatinga 24 14 7 3 4 21 15 6 57%
4&ordm; Barueri 23 14 7 2 5 27 22 5 54%
5&ordm; Ferroviário-CE 19 14 6 1 7 21 26 -5 45%
6&ordm; Bahia 14 14 4 2 8 21 30 -9 33%
7&ordm; Brasil 13 14 4 1 9 16 25 -9 30%
label: 2&ordm;||Vitória||25||14||8||1||5||23||18||5||59%
3&ordm;||Ipatinga||24||14||7||3||4||21||15||6||57%
4&ordm;||Barueri||23||14||7||2||5||27||22||5||54%
5&ordm;||Ferroviário-CE||19||14||6||1||7||21||26||-5||45%
6&ordm;||Bahia||14||14||4||2||8||21||30||-9||33%
7&ordm;||Brasil||13||14||4||1||9||16||25||-9||30%
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
2 Los Laureles Verdes Chalinillo 2:03 $0.99 View In iTunes
3 Chico Fuentes Chalinillo 3:04 $0.99 View In iTunes
4 Sabiendo Quien Era Yo Chalinillo 2:08 $0.99 View In iTunes
5 Labra Medina Chalinillo 4:06 $0.99 View In iTunes
6 Arturo Vega Chalinillo 3:05 $0.99 View In iTunes
7 La Mafia Muere Chalinillo 3:26 $0.99 View In iTunes
8 La Miel Amarga Chalinillo 3:44 $0.99 View In iTunes
9 La Pagada Chalinillo 2:36 $0.99 View In iTunes



TEGRA_table_txt_file: table_7924.txt
TEGRA_TABLE_TEXT: 2 Los Laureles Verdes Chalinillo 2:03 $0.99 View In iTunes
3 Chico Fuentes Chalinillo 3:04 $0.99 View In iTunes
4 Sabiendo Quien Era Yo Chalinillo 2:08 $0.99 View In iTunes
5 Labra Medina Chalinillo 4:06 $0.99 View In iTunes
6 Arturo Vega Chalinillo 3:05 $0.99 View In iTunes
7 La Mafia Muere Chalinillo 3:26 $0.99 View In iTunes
8 La Miel Amarga Chalinillo 3:44 $0.99 View In iTunes
9 La Pagada Chalinillo 2:36 $0.99 View In iTunes
label: 2||Los Laureles Verdes||Chalinillo||2:03||$0.99||View In iTunes
3||Chico Fuentes||Chalinillo||3:04||$0.99||View In iTunes
4||Sabiendo Quien Era Yo||Chalinillo||2:08||$0.99||View In iTunes
5||Labra Medina||Chalinillo||4:06||$0.99||View In iTunes
6||Arturo Vega||Chalinillo||3:05||$0.99||View In iTunes
7||La Mafia Muere||Chalinillo||3:26||$0.99||View In iTunes
8||La Miel Amarga||Chalinillo||3:44||$0.99||View In iTunes
9||La Pagada||Chalinillo||2:36||$0.99||View In iTunes
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 1,007.80 986.15
C 1,151.77 1,127.03
D 1,295.74 1,267.91
E 1,583.68 1,549.67
F 1,871.62 1,831.43
G 2,159.57 2,113.18



TEGRA_table_txt_file: table_2356.txt
TEGRA_TABLE_TEXT: B 1,007.80 986.15
C 1,151.77 1,127.03
D 1,295.74 1,267.91
E 1,583.68 1,549.67
F 1,871.62 1,831.43
G 2,159.57 2,113.18
label: B||1,007.80||986.15
C||1,151.77||1,127.03
D||1,295.74||1,267.91
E||1,583.68||1,549.67
F||1,871.62||1,831.43
G||2,159.57||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:
Behnke,Melanie 16 6 44 .227 0 6 3-1
Lesan,Skylar 4 0 12 .333 41 15 0-1
Sparks,Emily 0 0 0 .000 0 18 0-0
Brown,Hailey 6 2 29 .138 8 13 0-3
Wagner,Kayla 9 1 27 .296 0 2 4-2
Gernes,Danielle 1 0 1 1.000 1 7 0-0
Weiss,Amanda 0 0 0 .000 2 13 0-0
Mundt,Jennifer 11 5 29 .207 0 4 1-1



TEGRA_table_txt_file: table_1712.txt
TEGRA_TABLE_TEXT: Behnke,Melanie 16 6 44 .227 0 6 3-1
Lesan,Skylar 4 0 12 .333 41 15 0-1
Sparks,Emily 0 0 0 .000 0 18 0-0
Brown,Hailey 6 2 29 .138 8 13 0-3
Wagner,Kayla 9 1 27 .296 0 2 4-2
Gernes,Danielle 1 0 1 1.000 1 7 0-0
Weiss,Amanda 0 0 0 .000 2 13 0-0
Mundt,Jennifer 11 5 29 .207 0 4 1-1
label: Behnke,Melanie||16||6||44||.227||0||6||3-1
Lesan,Skylar||4||0||12||.333||41||15||0-1
Sparks,Emily||0||0||0||.000||0||18||0-0
Brown,Hailey||6||2||29||.138||8||13||0-3
Wagner,Kayla||9||1||27||.296||0||2||4-2
Gernes,Danielle||1||0||1||1.000||1||7||0-0
Weiss,Amanda||0||0||0||.000||2||13||0-0
Mundt,Jennifer||11||5||29||.207||0||4||1-1
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
S Choo CF 4 0 0 0 0 0 0 0 0 0 0 3 0 .324 .462 .533
Z Cozart SS 4 0 0 0 0 0 0 0 0 0 0 1 0 .200 .225 .343
J Votto 1B 3 1 1 0 0 0 0 0 0 1 1 0 0 .292 .441 .453
B Phillips 2B 4 1 2 2 1 0 1 0 0 6 0 0 1 .289 .336 .482
J Bruce RF 4 0 2 0 0 1 0 0 0 4 0 1 1 .261 .318 .361
T Frazier 3B 3 0 0 0 0 0 0 0 0 0 0 1 3 .232 .313 .465
D Lutz LF 4 0 0 0 0 0 0 0 0 0 0 0 1 .000 .000 .000
C Miller C 2 0 0 0 0 0 0 0 0 0 1 0 0 .100 .308 .100
H Bailey P 2 0 1 0 0 0 0 0 0 1 0 0 3 .333 .333 .444
J Hoover P 0 0 0 0 0 0 0 0 0 0 0 0 0 - - -
J Hannahan PH 1 0 0 0 0 0 0 0 0 0 0 0 0 .320 .346 .400
L Ondrusek P 0 0 0 0 0 0 0 0 0 0 0 0 0 - - -



TEGRA_table_txt_file: table_7855.txt
TEGRA_TABLE_TEXT: S Choo CF 4 0 0 0 0 0 0 0 0 0 0 3 0 .324 .462 .533
Z Cozart SS 4 0 0 0 0 0 0 0 0 0 0 1 0 .200 .225 .343
J Votto 1B 3 1 1 0 0 0 0 0 0 1 1 0 0 .292 .441 .453
B Phillips 2B 4 1 2 2 1 0 1 0 0 6 0 0 1 .289 .336 .482
J Bruce RF 4 0 2 0 0 1 0 0 0 4 0 1 1 .261 .318 .361
T Frazier 3B 3 0 0 0 0 0 0 0 0 0 0 1 3 .232 .313 .465
D Lutz LF 4 0 0 0 0 0 0 0 0 0 0 0 1 .000 .000 .000
C Miller C 2 0 0 0 0 0 0 0 0 0 1 0 0 .100 .308 .100
H Bailey P 2 0 1 0 0 0 0 0 0 1 0 0 3 .333 .333 .444
J Hoover P 0 0 0 0 0 0 0 0 0 0 0 0 0 - - -
J Hannahan PH 1 0 0 0 0 0 0 0 0 0 0 0 0 .320 .346 .400
L Ondrusek P 0 0 0 0 0 0 0 0 0 0 0 0 0 - - -
label: S Choo CF||4||0||0||0||0||0||0||0||0||0||0||3||0||.324||.462||.533
Z Cozart SS||4||0||0||0||0||0||0||0||0||0||0||1||0||.200||.225||.343
J Votto 1B||3||1||1||0||0||0||0||0||0||1||1||0||0||.292||.441||.453
B Phillips 2B||4||1||2||2||1||0||1||0||0||6||0||0||1||.289||.336||.482
J Bruce RF||4||0||2||0||0||1||0||0||0||4||0||1||1||.261||.318||.361
T Frazier 3B||3||0||0||0||0||0||0||0||0||0||0||1||3||.232||.313||.465
D Lutz LF||4||0||0||0||0||0||0||0||0||0||0||0||1||.000||.000||.000
C Miller C||2||0||0||0||0||0||0||0||0||0||1||0||0||.100||.308||.100
H Bailey P||2||0||1||0||0||0||0||0||0||1||0||0||3||.333||.333||.444
J Hoover P||0||0||0||0||0||0||0||0||0||0||0||0||0||-||-||-
J Hannahan PH||1||0||0||0||0||0||0||0||0||0||0||0||0||.320||.346||.400
L Ondrusek P||0||0||0||0||0||0||0||0||0||0||0||0||0||-||-||-
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
2006 Aucune donnée Aucune donnée &euro; 141K Aucune donnée
2007 Aucune donnée &euro; 124K &euro; 136K &euro; 136K
2008 &euro; 132K &euro; 131K &euro; 146K &euro; 150K
2009 &euro; 135K Aucune donnée &euro; 136K &euro; 130K
2010 &euro; 137K &euro; 153K &euro; 148K &euro; 150K
2011 &euro; 150K Aucune donnée Aucune donnée Aucune donnée
2012 Aucune donnée Aucune donnée Aucune donnée Aucune donnée



TEGRA_table_txt_file: table_7674.txt
TEGRA_TABLE_TEXT: 2006 Aucune donnée Aucune donnée &euro; 141K Aucune donnée
2007 Aucune donnée &euro; 124K &euro; 136K &euro; 136K
2008 &euro; 132K &euro; 131K &euro; 146K &euro; 150K
2009 &euro; 135K Aucune donnée &euro; 136K &euro; 130K
2010 &euro; 137K &euro; 153K &euro; 148K &euro; 150K
2011 &euro; 150K Aucune donnée Aucune donnée Aucune donnée
2012 Aucune donnée Aucune donnée Aucune donnée Aucune donnée
label: 2006||Aucune donnée||Aucune donnée||&euro; 141K||Aucune donnée
2007||Aucune donnée||&euro; 124K||&euro; 136K||&euro; 136K
2008||&euro; 132K||&euro; 131K||&euro; 146K||&euro; 150K
2009||&euro; 135K||Aucune donnée||&euro; 136K||&euro; 130K
2010||&euro; 137K||&euro; 153K||&euro; 148K||&euro; 150K
2011||&euro; 150K||Aucune donnée||Aucune donnée||Aucune donnée
2012||Aucune donnée||Aucune donnée||Aucune donnée||Aucune donnée
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:
26-01-30 Lazio Livorno 3-1 (1-0)
26-01-30 Torino Roma 1-0 (0-0)
26-01-30 Brescia Modena 3-2 (1-1)
26-01-30 Bologna Cremonese 4-1 (3-0)
26-01-30 Padova Juventus 2-1 (1-1)
26-01-30 Genoa Inter 1-4 (0-1)
26-01-30 Pro Patria Pro Vercelli 1-0 (0-0)



TEGRA_table_txt_file: table_5738.txt
TEGRA_TABLE_TEXT: 26-01-30 Lazio Livorno 3-1 (1-0)
26-01-30 Torino Roma 1-0 (0-0)
26-01-30 Brescia Modena 3-2 (1-1)
26-01-30 Bologna Cremonese 4-1 (3-0)
26-01-30 Padova Juventus 2-1 (1-1)
26-01-30 Genoa Inter 1-4 (0-1)
26-01-30 Pro Patria Pro Vercelli 1-0 (0-0)
label: 26-01-30||Lazio||Livorno||3-1||(1-0)
26-01-30||Torino||Roma||1-0||(0-0)
26-01-30||Brescia||Modena||3-2||(1-1)
26-01-30||Bologna||Cremonese||4-1||(3-0)
26-01-30||Padova||Juventus||2-1||(1-1)
26-01-30||Genoa||Inter||1-4||(0-1)
26-01-30||Pro Patria||Pro Vercelli||1-0||(0-0)
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
Australie (ARIA) 5 × Platine
Belgique (Flandre Ultratop 50) 2 × Platine
Belgique (Wallonie Ultratop 40) 2 × Platine
Canada (CRIA) (Digital) Diamant
Danemark (IFPI) Platine
Espagne (Promusicae) 3 × Platine
États-Unis (RIAA) 8 × Platine
France (SNEP) Platine
Grèce Or
Italie (FIMI) 2 × Platine
Japon (Téléchargement mobile) Or
Nouvelle-Zélande (RIANZ) 3 × Platine
Royaume-Uni (BPI) 2 × Platine
Suède (IFPI) Platine



TEGRA_table_txt_file: table_743.txt
TEGRA_TABLE_TEXT: Australie (ARIA) 5 × Platine
Belgique (Flandre Ultratop 50) 2 × Platine
Belgique (Wallonie Ultratop 40) 2 × Platine
Canada (CRIA) (Digital) Diamant
Danemark (IFPI) Platine
Espagne (Promusicae) 3 × Platine
États-Unis (RIAA) 8 × Platine
France (SNEP) Platine
Grèce Or
Italie (FIMI) 2 × Platine
Japon (Téléchargement mobile) Or
Nouvelle-Zélande (RIANZ) 3 × Platine
Royaume-Uni (BPI) 2 × Platine
Suède (IFPI) Platine
label: Australie (ARIA)||5 × Platine
Belgique (Flandre Ultratop 50)||2 × Platine
Belgique (Wallonie Ultratop 40)||2 × Platine
Canada (CRIA) (Digital)||Diamant
Danemark (IFPI)||Platine
Espagne (Promusicae)||3 × Platine
États-Unis (RIAA)||8 × Platine
France (SNEP)||Platine
Grèce||Or
Italie (FIMI)||2 × Platine
Japon (Téléchargement mobile)||Or
Nouvelle-Zélande (RIANZ)||3 × Platine
Royaume-Uni (BPI)||2 × Platine
Suède (IFPI)||Platine
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:
Id-E-Milad 25.01.2013 Friday
Republic Day 26.01.2013 Saturday
Good Friday 29.03.2013 Friday
Mahavir Jayanthi 24.04.2013 Wednesday
Buddha Purnima 25.05.2013 Saturday
Idul Fitr 09.08.2013 Friday
Independence Day 15.08.2013 Thursday
Vinayagar Chaturti 09.09.2013 Monday
Gandhi Jayanthi 02.10.2013 Wednesday
Maha Sapthami 11.10.2013 Friday
Vijaya Dasami 13.10.2013 Sunday
Bakrid 16.10.2013 Wednesday
Deepavali 02.11.2013 Saturday
Muharram 14.11.2013 Thursday
Guru Nanak's Birthday 17.11.2013 Sunday



TEGRA_table_txt_file: table_8823.txt
TEGRA_TABLE_TEXT: Id-E-Milad 25.01.2013 Friday
Republic Day 26.01.2013 Saturday
Good Friday 29.03.2013 Friday
Mahavir Jayanthi 24.04.2013 Wednesday
Buddha Purnima 25.05.2013 Saturday
Idul Fitr 09.08.2013 Friday
Independence Day 15.08.2013 Thursday
Vinayagar Chaturti 09.09.2013 Monday
Gandhi Jayanthi 02.10.2013 Wednesday
Maha Sapthami 11.10.2013 Friday
Vijaya Dasami 13.10.2013 Sunday
Bakrid 16.10.2013 Wednesday
Deepavali 02.11.2013 Saturday
Muharram 14.11.2013 Thursday
Guru Nanak's Birthday 17.11.2013 Sunday
label: Id-E-Milad||25.01.2013||Friday
Republic Day||26.01.2013||Saturday
Good Friday||29.03.2013||Friday
Mahavir Jayanthi||24.04.2013||Wednesday
Buddha Purnima||25.05.2013||Saturday
Idul Fitr||09.08.2013||Friday
Independence Day||15.08.2013||Thursday
Vinayagar Chaturti||09.09.2013||Monday
Gandhi Jayanthi||02.10.2013||Wednesday
Maha Sapthami||11.10.2013||Friday
Vijaya Dasami||13.10.2013||Sunday
Bakrid||16.10.2013||Wednesday
Deepavali||02.11.2013||Saturday
Muharram||14.11.2013||Thursday
Guru Nanak's Birthday||17.11.2013||Sunday
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:
18th Birthday Decorations Aged 60 - Sixtylicious Invitations Thankyou
19th Birthday Decorations Another Year of Fabulous Milestone Celebration
21st Birthday Decorations Bravo Birthday Novelty
30th Birthday Decorations Brilliant Balloons Novelty
40th Birthday Decorations Candles Oh No!
50th Birthday Decorations Confetti One More Candle
60th Birthday Decorations Decorations Over The Hill
65th Birthday Decorations Dots And Stripes Red Celebrate
70th Birthday Decorations Generic Still Wild
75th Birthday Decorations Great Birthday Tableware
80th Plus Birthday Decorations Grim Reaper Birthday The Party Continues
A Year To Celebrate Happy Something Time To Party
Aged 30 - Thirtylicious Holy Bleep Vintage Dude



TEGRA_table_txt_file: table_9477.txt
TEGRA_TABLE_TEXT: 18th Birthday Decorations Aged 60 - Sixtylicious Invitations Thankyou
19th Birthday Decorations Another Year of Fabulous Milestone Celebration
21st Birthday Decorations Bravo Birthday Novelty
30th Birthday Decorations Brilliant Balloons Novelty
40th Birthday Decorations Candles Oh No!
50th Birthday Decorations Confetti One More Candle
60th Birthday Decorations Decorations Over The Hill
65th Birthday Decorations Dots And Stripes Red Celebrate
70th Birthday Decorations Generic Still Wild
75th Birthday Decorations Great Birthday Tableware
80th Plus Birthday Decorations Grim Reaper Birthday The Party Continues
A Year To Celebrate Happy Something Time To Party
Aged 30 - Thirtylicious Holy Bleep Vintage Dude
label: 18th Birthday Decorations||Aged 60 - Sixtylicious||Invitations Thankyou
19th Birthday Decorations||Another Year of Fabulous||Milestone Celebration
21st Birthday Decorations||Bravo Birthday||Novelty
30th Birthday Decorations||Brilliant Balloons||Novelty
40th Birthday Decorations||Candles||Oh No!
50th Birthday Decorations||Confetti||One More Candle
60th Birthday Decorations||Decorations||Over The Hill
65th Birthday Decorations||Dots And Stripes||Red Celebrate
70th Birthday Decorations||Generic||Still Wild
75th Birthday Decorations||Great Birthday||Tableware
80th Plus Birthday Decorations||Grim Reaper Birthday||The Party Continues
A Year To Celebrate||Happy Something||Time To Party
Aged 30 - Thirtylicious||Holy Bleep||Vintage Dude