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:
64027 4 4.0sqmm (Class 5) Black with yellow stripe Get Quote
64054 4 6.0sqmm (Class 5) Black with yellow stripe Get Quote
64044 4 10sqmm (Class 5) Black with yellow stripe Get Quote
64045 4 16sqmm (Class 5) Black with yellow stripe Get Quote
64006 4 25sqmm (Class 5) Black with yellow stripe Get Quote
64030 4 35sqmm (Class 5) Black with yellow stripe Get Quote
64041 4 50sqmm (Class 5) Black with yellow stripe Get Quote
64038 4 70sqmm (Class 5) Black with yellow stripe Get Quote
64039 4 95sqmm (Class 5) Black with yellow stripe Get Quote



TEGRA_table_txt_file: table_4017.txt
TEGRA_TABLE_TEXT: 64027 4 4.0sqmm (Class 5) Black with yellow stripe Get Quote
64054 4 6.0sqmm (Class 5) Black with yellow stripe Get Quote
64044 4 10sqmm (Class 5) Black with yellow stripe Get Quote
64045 4 16sqmm (Class 5) Black with yellow stripe Get Quote
64006 4 25sqmm (Class 5) Black with yellow stripe Get Quote
64030 4 35sqmm (Class 5) Black with yellow stripe Get Quote
64041 4 50sqmm (Class 5) Black with yellow stripe Get Quote
64038 4 70sqmm (Class 5) Black with yellow stripe Get Quote
64039 4 95sqmm (Class 5) Black with yellow stripe Get Quote
label: 64027||4||4.0sqmm (Class 5)||Black with yellow stripe||Get Quote
64054||4||6.0sqmm (Class 5)||Black with yellow stripe||Get Quote
64044||4||10sqmm (Class 5)||Black with yellow stripe||Get Quote
64045||4||16sqmm (Class 5)||Black with yellow stripe||Get Quote
64006||4||25sqmm (Class 5)||Black with yellow stripe||Get Quote
64030||4||35sqmm (Class 5)||Black with yellow stripe||Get Quote
64041||4||50sqmm (Class 5)||Black with yellow stripe||Get Quote
64038||4||70sqmm (Class 5)||Black with yellow stripe||Get Quote
64039||4||95sqmm (Class 5)||Black with yellow stripe||Get Quote
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:
30% Sodium Hydroxide None Slight Change
30% Sulfuric Acid None Clear
30% Nitric Acid None Clear
Methanol None Clear
Ethanol None Clear
Isopropyl Alcohol None Clear
Acetone None Clear



TEGRA_table_txt_file: table_7053.txt
TEGRA_TABLE_TEXT: 30% Sodium Hydroxide None Slight Change
30% Sulfuric Acid None Clear
30% Nitric Acid None Clear
Methanol None Clear
Ethanol None Clear
Isopropyl Alcohol None Clear
Acetone None Clear
label: 30% Sodium Hydroxide||None||Slight Change
30% Sulfuric Acid||None||Clear
30% Nitric Acid||None||Clear
Methanol||None||Clear
Ethanol||None||Clear
Isopropyl Alcohol||None||Clear
Acetone||None||Clear
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
Abgegebene 188 64,2 % 225 71,4 % -37 -7,3 %
Ungültige 0 0,0 % 3 1,3 % -3 -1,3 %
Gültige 188 100,0 % 222 98,7 % -34 +1,3 %
Davon entfielen auf die Parteien      
SPÖ 21 11,2 % 66 29,7 % -45 -18,6 %
ÖVP 54 28,7 % 88 39,6 % -34 -10,9 %
FPÖ 91 48,4 % 22 9,9 % +69 +38,5 %
BZÖ 5 2,7 % 39 17,6 % -34 -14,9 %
GRÜNE 4 2,1 % 6 2,7 % -2 -0,6 %
FRANK 11 5,9 %  n.t.  n.t.
NEOS 1 0,5 %  n.t.  n.t.
KPÖ 1 0,5 % 0 0,0 % +1 +0,5 %
PIRAT 0 0,0 %  n.t.  n.t.



TEGRA_table_txt_file: table_9544.txt
TEGRA_TABLE_TEXT: Abgegebene 188 64,2 % 225 71,4 % -37 -7,3 %
Ungültige 0 0,0 % 3 1,3 % -3 -1,3 %
Gültige 188 100,0 % 222 98,7 % -34 +1,3 %
Davon entfielen auf die Parteien      
SPÖ 21 11,2 % 66 29,7 % -45 -18,6 %
ÖVP 54 28,7 % 88 39,6 % -34 -10,9 %
FPÖ 91 48,4 % 22 9,9 % +69 +38,5 %
BZÖ 5 2,7 % 39 17,6 % -34 -14,9 %
GRÜNE 4 2,1 % 6 2,7 % -2 -0,6 %
FRANK 11 5,9 %  n.t.  n.t.
NEOS 1 0,5 %  n.t.  n.t.
KPÖ 1 0,5 % 0 0,0 % +1 +0,5 %
PIRAT 0 0,0 %  n.t.  n.t.
label: Abgegebene||188||64,2 %||225||71,4 %||-37||-7,3 %
Ungültige||0||0,0 %||3||1,3 %||-3||-1,3 %
Gültige||188||100,0 %||222||98,7 %||-34||+1,3 %
Davon entfielen auf die Parteien||||||||||||
SPÖ||21||11,2 %||66||29,7 %||-45||-18,6 %
ÖVP||54||28,7 %||88||39,6 %||-34||-10,9 %
FPÖ||91||48,4 %||22||9,9 %||+69||+38,5 %
BZÖ||5||2,7 %||39||17,6 %||-34||-14,9 %
GRÜNE||4||2,1 %||6||2,7 %||-2||-0,6 %
FRANK||11||5,9 %||||n.t.||||n.t.
NEOS||1||0,5 %||||n.t.||||n.t.
KPÖ||1||0,5 %||0||0,0 %||+1||+0,5 %
PIRAT||0||0,0 %||||n.t.||||n.t.
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
S/18:00h. Sporting - Eibar -
S/18:00h. Sabadell - Real Jaén -
S/18:15h. Alcorcón - Alavés -
D/12:00h. Hércules - Deportivo -
D/17:00h. Barcelona B - Mallorca -
D/17:00h. Córdoba - Girona -
D/17:00h. Mirandés - Ponferradina -
D/18:00h. Tenerife - Real Madrid Castilla -
D/18:15h. Zaragoza - Recreativo -



TEGRA_table_txt_file: table_4659.txt
TEGRA_TABLE_TEXT: S/18:00h. Sporting - Eibar -
S/18:00h. Sabadell - Real Jaén -
S/18:15h. Alcorcón - Alavés -
D/12:00h. Hércules - Deportivo -
D/17:00h. Barcelona B - Mallorca -
D/17:00h. Córdoba - Girona -
D/17:00h. Mirandés - Ponferradina -
D/18:00h. Tenerife - Real Madrid Castilla -
D/18:15h. Zaragoza - Recreativo -
label: S/18:00h.||Sporting||-||Eibar||-
S/18:00h.||Sabadell||-||Real Jaén||-
S/18:15h.||Alcorcón||-||Alavés||-
D/12:00h.||Hércules||-||Deportivo||-
D/17:00h.||Barcelona B||-||Mallorca||-
D/17:00h.||Córdoba||-||Girona||-
D/17:00h.||Mirandés||-||Ponferradina||-
D/18:00h.||Tenerife||-||Real Madrid Castilla||-
D/18:15h.||Zaragoza||-||Recreativo||-
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 Furusato Daniel Kobialka 5:41 $0.99 View In iTunes
3 Por un Amor Daniel Kobialka 5:27 $0.99 View In iTunes
4 Bridges On Canyon Creek Daniel Kobialka 5:53 $0.99 View In iTunes
5 Rainforest Dawn Daniel Kobialka 6:52 $0.99 View In iTunes
6 My Heart Will Go On Daniel Kobialka 5:12 $0.99 View In iTunes
7 Singing the Night Daniel Kobialka 6:44 $0.99 View In iTunes
8 Donna, Donna Daniel Kobialka 4:33 $0.99 View In iTunes
9 Caribbean Wind Daniel Kobialka 4:58 $0.99 View In iTunes
10 Path to Asia Daniel Kobialka 5:56 $0.99 View In iTunes



TEGRA_table_txt_file: table_1999.txt
TEGRA_TABLE_TEXT: 2 Furusato Daniel Kobialka 5:41 $0.99 View In iTunes
3 Por un Amor Daniel Kobialka 5:27 $0.99 View In iTunes
4 Bridges On Canyon Creek Daniel Kobialka 5:53 $0.99 View In iTunes
5 Rainforest Dawn Daniel Kobialka 6:52 $0.99 View In iTunes
6 My Heart Will Go On Daniel Kobialka 5:12 $0.99 View In iTunes
7 Singing the Night Daniel Kobialka 6:44 $0.99 View In iTunes
8 Donna, Donna Daniel Kobialka 4:33 $0.99 View In iTunes
9 Caribbean Wind Daniel Kobialka 4:58 $0.99 View In iTunes
10 Path to Asia Daniel Kobialka 5:56 $0.99 View In iTunes
label: 2||Furusato||Daniel Kobialka||5:41||$0.99||View In iTunes
3||Por un Amor||Daniel Kobialka||5:27||$0.99||View In iTunes
4||Bridges On Canyon Creek||Daniel Kobialka||5:53||$0.99||View In iTunes
5||Rainforest Dawn||Daniel Kobialka||6:52||$0.99||View In iTunes
6||My Heart Will Go On||Daniel Kobialka||5:12||$0.99||View In iTunes
7||Singing the Night||Daniel Kobialka||6:44||$0.99||View In iTunes
8||Donna, Donna||Daniel Kobialka||4:33||$0.99||View In iTunes
9||Caribbean Wind||Daniel Kobialka||4:58||$0.99||View In iTunes
10||Path to Asia||Daniel Kobialka||5:56||$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:
Tsa Stores Inc Firearms Dealer/Gunsmith Billings, Montana January 01, 2016
Arc3 Corporation Firearms Dealer/Gunsmith Billings, Montana October 01, 2014
Scheels All Sports Inc Firearms Dealer/Gunsmith Billings, Montana July 01, 2015
Abrahams, Robert D Jr Firearms Dealer/Gunsmith Billings, Montana May 01, 2014
Harmon, James Thomas Firearms Dealer/Gunsmith Billings, Montana April 01, 2015
Five Corners Storage Llc Pawnbroker in Firearms Billings, Montana September 01, 2015
Western Pawn Brokers Inc Pawnbroker in Firearms Billings, Montana February 01, 2014
Weston, Seth A Jr Firearms Dealer/Gunsmith Billings, Montana February 01, 2014



TEGRA_table_txt_file: table_1224.txt
TEGRA_TABLE_TEXT: Tsa Stores Inc Firearms Dealer/Gunsmith Billings, Montana January 01, 2016
Arc3 Corporation Firearms Dealer/Gunsmith Billings, Montana October 01, 2014
Scheels All Sports Inc Firearms Dealer/Gunsmith Billings, Montana July 01, 2015
Abrahams, Robert D Jr Firearms Dealer/Gunsmith Billings, Montana May 01, 2014
Harmon, James Thomas Firearms Dealer/Gunsmith Billings, Montana April 01, 2015
Five Corners Storage Llc Pawnbroker in Firearms Billings, Montana September 01, 2015
Western Pawn Brokers Inc Pawnbroker in Firearms Billings, Montana February 01, 2014
Weston, Seth A Jr Firearms Dealer/Gunsmith Billings, Montana February 01, 2014
label: Tsa Stores Inc||Firearms Dealer/Gunsmith||Billings, Montana||January 01, 2016
Arc3 Corporation||Firearms Dealer/Gunsmith||Billings, Montana||October 01, 2014
Scheels All Sports Inc||Firearms Dealer/Gunsmith||Billings, Montana||July 01, 2015
Abrahams, Robert D Jr||Firearms Dealer/Gunsmith||Billings, Montana||May 01, 2014
Harmon, James Thomas||Firearms Dealer/Gunsmith||Billings, Montana||April 01, 2015
Five Corners Storage Llc||Pawnbroker in Firearms||Billings, Montana||September 01, 2015
Western Pawn Brokers Inc||Pawnbroker in Firearms||Billings, Montana||February 01, 2014
Weston, Seth A Jr||Firearms Dealer/Gunsmith||Billings, Montana||February 01, 2014
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. Tag* ab dem 2. Tag** 1. Tag* ab dem 2. Tag**
Nebensaison 09.01.12 - 19.03.12 66 35 95 50
Hauptsaison 20.03.12 - 15.04.12 81 50 120 75
Zwischensaison 16.04.12 - 22.06.12 71 40 115 70
Hauptsaison 23.06.12 - 02.09.12 81 50 120 75
Zwischensaison 03.09.12 - 28.09.12 71 40 115 70
Hauptsaison 29.09.12 - 04.11.12 81 50 120 75
Zwischensaison 05.11.12 - 16.12.12 71 40 115 70



TEGRA_table_txt_file: table_3739.txt
TEGRA_TABLE_TEXT:   1. Tag* ab dem 2. Tag** 1. Tag* ab dem 2. Tag**
Nebensaison 09.01.12 - 19.03.12 66 35 95 50
Hauptsaison 20.03.12 - 15.04.12 81 50 120 75
Zwischensaison 16.04.12 - 22.06.12 71 40 115 70
Hauptsaison 23.06.12 - 02.09.12 81 50 120 75
Zwischensaison 03.09.12 - 28.09.12 71 40 115 70
Hauptsaison 29.09.12 - 04.11.12 81 50 120 75
Zwischensaison 05.11.12 - 16.12.12 71 40 115 70
label: ||||1. Tag*||ab dem 2. Tag**||1. Tag*||ab dem 2. Tag**
Nebensaison||09.01.12 - 19.03.12||66||35||95||50
Hauptsaison||20.03.12 - 15.04.12||81||50||120||75
Zwischensaison||16.04.12 - 22.06.12||71||40||115||70
Hauptsaison||23.06.12 - 02.09.12||81||50||120||75
Zwischensaison||03.09.12 - 28.09.12||71||40||115||70
Hauptsaison||29.09.12 - 04.11.12||81||50||120||75
Zwischensaison||05.11.12 - 16.12.12||71||40||115||70
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:
NOV. 1 WALTER J. BAIRD AWAY 4:30 (SCRIMMAGE)
NOV. 4 JACKSON CO. HOME 6:00
NOV. 7 WESTMORELAND AWAY 6:00
NOV. 11 RBS AWAY 6:00
NOV. 14 TROUSDALE CO. HOME 6:00
NOV. 18 MT. JULIET HOME 6:00
NOV. 21 JACKSON CO. AWAY 6:00
NOV. 25 CLAY CO. AWAY 6:00
DEC. 2 WESTMORELAND HOME 6:00
DEC.9 MT. JULIET AWAY 6:00
DEC.12 R. B. S. HOME 6:00
DEC.16 CLAY CO. HOME 6:00
JAN.6 WALTER J. BAIRD HOME 4:15 (8TH GRADE NIGHT)



TEGRA_table_txt_file: table_6967.txt
TEGRA_TABLE_TEXT: NOV. 1 WALTER J. BAIRD AWAY 4:30 (SCRIMMAGE)
NOV. 4 JACKSON CO. HOME 6:00
NOV. 7 WESTMORELAND AWAY 6:00
NOV. 11 RBS AWAY 6:00
NOV. 14 TROUSDALE CO. HOME 6:00
NOV. 18 MT. JULIET HOME 6:00
NOV. 21 JACKSON CO. AWAY 6:00
NOV. 25 CLAY CO. AWAY 6:00
DEC. 2 WESTMORELAND HOME 6:00
DEC.9 MT. JULIET AWAY 6:00
DEC.12 R. B. S. HOME 6:00
DEC.16 CLAY CO. HOME 6:00
JAN.6 WALTER J. BAIRD HOME 4:15 (8TH GRADE NIGHT)
label: NOV. 1||WALTER J. BAIRD||AWAY||4:30 (SCRIMMAGE)
NOV. 4||JACKSON CO.||HOME||6:00
NOV. 7||WESTMORELAND||AWAY||6:00
NOV. 11||RBS||AWAY||6:00
NOV. 14||TROUSDALE CO.||HOME||6:00
NOV. 18||MT. JULIET||HOME||6:00
NOV. 21||JACKSON CO.||AWAY||6:00
NOV. 25||CLAY CO.||AWAY||6:00
DEC. 2||WESTMORELAND||HOME||6:00
DEC.9||MT. JULIET||AWAY||6:00
DEC.12||R. B. S.||HOME||6:00
DEC.16||CLAY CO.||HOME||6:00
JAN.6||WALTER J. BAIRD||HOME||4:15 (8TH GRADE NIGHT)
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 Hoja en Blanco Monchy y Alexandra - Exitos 5:08 $9.00 Ver en iTunes
3 Dos Locos Monchy y Alexandra - Exitos 4:06 $9.00 Ver en iTunes
4 Te Quiero Igual Que Ayer Monchy y Alexandra - Exitos 4:19 $9.00 Ver en iTunes
5 Dos Locos Confesiones... 4:06 $12.00 Ver en iTunes
6 Perdidos Monchy y Alexandra - Exitos 4:28 $9.00 Ver en iTunes
7 No Es una Novela Monchy y Alexandra - Exitos 3:40 $9.00 Ver en iTunes
8 Casas de Carton Bachatiando '99 4:19 $12.00 Ver en iTunes
9 Hasta el Fin Monchy y Alexandra - Exitos 4:15 $9.00 Ver en iTunes



TEGRA_table_txt_file: table_8449.txt
TEGRA_TABLE_TEXT: 2 Hoja en Blanco Monchy y Alexandra - Exitos 5:08 $9.00 Ver en iTunes
3 Dos Locos Monchy y Alexandra - Exitos 4:06 $9.00 Ver en iTunes
4 Te Quiero Igual Que Ayer Monchy y Alexandra - Exitos 4:19 $9.00 Ver en iTunes
5 Dos Locos Confesiones... 4:06 $12.00 Ver en iTunes
6 Perdidos Monchy y Alexandra - Exitos 4:28 $9.00 Ver en iTunes
7 No Es una Novela Monchy y Alexandra - Exitos 3:40 $9.00 Ver en iTunes
8 Casas de Carton Bachatiando '99 4:19 $12.00 Ver en iTunes
9 Hasta el Fin Monchy y Alexandra - Exitos 4:15 $9.00 Ver en iTunes
label: 2||Hoja en Blanco||Monchy y Alexandra - Exitos||5:08||$9.00||Ver en iTunes
3||Dos Locos||Monchy y Alexandra - Exitos||4:06||$9.00||Ver en iTunes
4||Te Quiero Igual Que Ayer||Monchy y Alexandra - Exitos||4:19||$9.00||Ver en iTunes
5||Dos Locos||Confesiones...||4:06||$12.00||Ver en iTunes
6||Perdidos||Monchy y Alexandra - Exitos||4:28||$9.00||Ver en iTunes
7||No Es una Novela||Monchy y Alexandra - Exitos||3:40||$9.00||Ver en iTunes
8||Casas de Carton||Bachatiando '99||4:19||$12.00||Ver en iTunes
9||Hasta el Fin||Monchy y Alexandra - Exitos||4:15||$9.00||Ver en 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:
2. Dundalk FC 32 20 5 7 53 : 30 65
3. Sligo Rovers 32 18 9 5 51 : 21 63
4. Derry City 32 16 5 11 51 : 39 53
5. Shamrock Rovers 32 13 13 6 42 : 26 52
6. Cork City 32 12 7 13 43 : 48 43
7. Limerick FC 32 11 9 12 38 : 40 42
8. Drogheda United 32 7 14 11 43 : 46 35
9. Bohemians Dublin 32 7 8 17 27 : 46 29
10. UC Dublin 32 7 6 19 43 : 72 27
11. Bray Wanderers 32 7 6 19 33 : 64 27



TEGRA_table_txt_file: table_8104.txt
TEGRA_TABLE_TEXT: 2. Dundalk FC 32 20 5 7 53 : 30 65
3. Sligo Rovers 32 18 9 5 51 : 21 63
4. Derry City 32 16 5 11 51 : 39 53
5. Shamrock Rovers 32 13 13 6 42 : 26 52
6. Cork City 32 12 7 13 43 : 48 43
7. Limerick FC 32 11 9 12 38 : 40 42
8. Drogheda United 32 7 14 11 43 : 46 35
9. Bohemians Dublin 32 7 8 17 27 : 46 29
10. UC Dublin 32 7 6 19 43 : 72 27
11. Bray Wanderers 32 7 6 19 33 : 64 27
label: 2.||Dundalk FC||32||20||5||7||53||:||30||65
3.||Sligo Rovers||32||18||9||5||51||:||21||63
4.||Derry City||32||16||5||11||51||:||39||53
5.||Shamrock Rovers||32||13||13||6||42||:||26||52
6.||Cork City||32||12||7||13||43||:||48||43
7.||Limerick FC||32||11||9||12||38||:||40||42
8.||Drogheda United||32||7||14||11||43||:||46||35
9.||Bohemians Dublin||32||7||8||17||27||:||46||29
10.||UC Dublin||32||7||6||19||43||:||72||27
11.||Bray Wanderers||32||7||6||19||33||:||64||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:
1. Pendaftaran RM 50.00 - - - -
2. Bayaran Tambahan Sekolah RM 20.00 RM 20.00 RM 20.00 RM 20.00 RM 20.00
3. Keceriaan RM 20.00 RM 20.00 RM 20.00 RM 20.00 RM 20.00
4. Ko-Kurikulum RM 30.00 RM 30.00 RM 30.00 RM 30.00 RM 30.00
5. Peperiksaan Dalaman RM 20.00 RM 20.00 RM 20.00 RM 20.00 RM 20.00
6. Pusat Sumber Sekolah RM 10.00 RM 10.00 RM 10.00 RM 10.00 RM 10.00
7. Makmal Sains RM 10.00 RM 10.00 RM 10.00 RM 10.00 RM 10.00
8. Kebajikan RM 10.00 RM 10.00 RM 10.00 RM 10.00 RM 10.00
9. KHB RM 25.00 RM 25.00 RM 25.00 - -
10. Takaful RM 4.00 RM 4.00 RM 4.00 RM 4.00 RM 4.00
11. Pembangunan Sahsiah RM 15.00 RM 15.00 RM 15.00 RM 15.00 RM 15.00
12. Laporan Prestasi RM 3.00 RM 3.00 RM 3.00 RM 3.00 RM 3.00
13. KAMIL RM 5.00 RM 5.00 RM 5.00 RM 5.00 RM 5.00



TEGRA_table_txt_file: table_6768.txt
TEGRA_TABLE_TEXT: 1. Pendaftaran RM 50.00 - - - -
2. Bayaran Tambahan Sekolah RM 20.00 RM 20.00 RM 20.00 RM 20.00 RM 20.00
3. Keceriaan RM 20.00 RM 20.00 RM 20.00 RM 20.00 RM 20.00
4. Ko-Kurikulum RM 30.00 RM 30.00 RM 30.00 RM 30.00 RM 30.00
5. Peperiksaan Dalaman RM 20.00 RM 20.00 RM 20.00 RM 20.00 RM 20.00
6. Pusat Sumber Sekolah RM 10.00 RM 10.00 RM 10.00 RM 10.00 RM 10.00
7. Makmal Sains RM 10.00 RM 10.00 RM 10.00 RM 10.00 RM 10.00
8. Kebajikan RM 10.00 RM 10.00 RM 10.00 RM 10.00 RM 10.00
9. KHB RM 25.00 RM 25.00 RM 25.00 - -
10. Takaful RM 4.00 RM 4.00 RM 4.00 RM 4.00 RM 4.00
11. Pembangunan Sahsiah RM 15.00 RM 15.00 RM 15.00 RM 15.00 RM 15.00
12. Laporan Prestasi RM 3.00 RM 3.00 RM 3.00 RM 3.00 RM 3.00
13. KAMIL RM 5.00 RM 5.00 RM 5.00 RM 5.00 RM 5.00
label: 1.||Pendaftaran||RM 50.00||-||-||-||-
2.||Bayaran Tambahan Sekolah||RM 20.00||RM 20.00||RM 20.00||RM 20.00||RM 20.00
3.||Keceriaan||RM 20.00||RM 20.00||RM 20.00||RM 20.00||RM 20.00
4.||Ko-Kurikulum||RM 30.00||RM 30.00||RM 30.00||RM 30.00||RM 30.00
5.||Peperiksaan Dalaman||RM 20.00||RM 20.00||RM 20.00||RM 20.00||RM 20.00
6.||Pusat Sumber Sekolah||RM 10.00||RM 10.00||RM 10.00||RM 10.00||RM 10.00
7.||Makmal Sains||RM 10.00||RM 10.00||RM 10.00||RM 10.00||RM 10.00
8.||Kebajikan||RM 10.00||RM 10.00||RM 10.00||RM 10.00||RM 10.00
9.||KHB||RM 25.00||RM 25.00||RM 25.00||-||-
10.||Takaful||RM 4.00||RM 4.00||RM 4.00||RM 4.00||RM 4.00
11.||Pembangunan Sahsiah||RM 15.00||RM 15.00||RM 15.00||RM 15.00||RM 15.00
12.||Laporan Prestasi||RM 3.00||RM 3.00||RM 3.00||RM 3.00||RM 3.00
13.||KAMIL||RM 5.00||RM 5.00||RM 5.00||RM 5.00||RM 5.00
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:
RYO cigarettes 18 25 100 0.20 1 packet 3.92
GUM 2mg     
Gum Classic 2mg 15 9 32 0.50 2 packets 14.90
Gum Mint 2mg 15 9 32 0.50 2 packets 14.90
Gum Classic 2mg 30 9 32 0.43 1 packet 12.95
Gum Mint 2mg 30 9 32 0.43 1 packet 12.95
GUM 4mg     
Gum Classic 4mg 15 18 64 0.60 1 packet 8.95
Gum Mint 4mg 15 18 64 0.60 1 packet 8.95
Gum Classic 4mg 30 18 64 0.53 ½ packet 8.00
Gum Mint 4mg 30 18 64 0.53 ½ packet 8.00
TABLET     
Sublingual tab. 30 # 9 32 0.67 1 packet 19.70
PATCH     
Patch 15mg 7** 15 54 3.56 2 patches 7.10
Patch 10mg 7** 10 36 3.28 3 patches 10.95



TEGRA_table_txt_file: table_4880.txt
TEGRA_TABLE_TEXT: RYO cigarettes 18 25 100 0.20 1 packet 3.92
GUM 2mg     
Gum Classic 2mg 15 9 32 0.50 2 packets 14.90
Gum Mint 2mg 15 9 32 0.50 2 packets 14.90
Gum Classic 2mg 30 9 32 0.43 1 packet 12.95
Gum Mint 2mg 30 9 32 0.43 1 packet 12.95
GUM 4mg     
Gum Classic 4mg 15 18 64 0.60 1 packet 8.95
Gum Mint 4mg 15 18 64 0.60 1 packet 8.95
Gum Classic 4mg 30 18 64 0.53 ½ packet 8.00
Gum Mint 4mg 30 18 64 0.53 ½ packet 8.00
TABLET     
Sublingual tab. 30 # 9 32 0.67 1 packet 19.70
PATCH     
Patch 15mg 7** 15 54 3.56 2 patches 7.10
Patch 10mg 7** 10 36 3.28 3 patches 10.95
label: RYO cigarettes 18||25||100||0.20||1 packet||3.92
GUM 2mg||||||||||
Gum Classic 2mg 15||9||32||0.50||2 packets||14.90
Gum Mint 2mg 15||9||32||0.50||2 packets||14.90
Gum Classic 2mg 30||9||32||0.43||1 packet||12.95
Gum Mint 2mg 30||9||32||0.43||1 packet||12.95
GUM 4mg||||||||||
Gum Classic 4mg 15||18||64||0.60||1 packet||8.95
Gum Mint 4mg 15||18||64||0.60||1 packet||8.95
Gum Classic 4mg 30||18||64||0.53||½ packet||8.00
Gum Mint 4mg 30||18||64||0.53||½ packet||8.00
TABLET||||||||||
Sublingual tab. 30 #||9||32||0.67||1 packet||19.70
PATCH||||||||||
Patch 15mg 7**||15||54||3.56||2 patches||7.10
Patch 10mg 7**||10||36||3.28||3 patches||10.95
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:
FORTRESS GARDEN FU DAT COURT 30/F FLAT B 17/09/13 $ 8.45 M 652 s.f. 762 s.f. $ 12,960 $ 11,089
FORTRESS GARDEN FU DAT COURT 23/F FLAT C 13/08/13 $ 8.38 M 652 s.f. 762 s.f. $ 12,853 $ 10,997
FORTRESS GARDEN FU KAR COURT 17/F FLAT A 24/07/13 $ 8.50 M 658 s.f. 773 s.f. $ 12,918 $ 10,996
FORTRESS GARDEN FU WAI COURT 13/F FLAT H 12/07/13 $ 7.59 M 650 s.f. 747 s.f. $ 11,677 $ 10,161
FORTRESS GARDEN FU KAR COURT 12/F FLAT A 08/07/13 $ 8.35 M 658 s.f. 773 s.f. $ 12,690 $ 10,802



TEGRA_table_txt_file: table_8992.txt
TEGRA_TABLE_TEXT: FORTRESS GARDEN FU DAT COURT 30/F FLAT B 17/09/13 $ 8.45 M 652 s.f. 762 s.f. $ 12,960 $ 11,089
FORTRESS GARDEN FU DAT COURT 23/F FLAT C 13/08/13 $ 8.38 M 652 s.f. 762 s.f. $ 12,853 $ 10,997
FORTRESS GARDEN FU KAR COURT 17/F FLAT A 24/07/13 $ 8.50 M 658 s.f. 773 s.f. $ 12,918 $ 10,996
FORTRESS GARDEN FU WAI COURT 13/F FLAT H 12/07/13 $ 7.59 M 650 s.f. 747 s.f. $ 11,677 $ 10,161
FORTRESS GARDEN FU KAR COURT 12/F FLAT A 08/07/13 $ 8.35 M 658 s.f. 773 s.f. $ 12,690 $ 10,802
label: FORTRESS GARDEN FU DAT COURT||30/F||FLAT B||17/09/13||$ 8.45 M||652 s.f.||762 s.f.||$ 12,960||$ 11,089
FORTRESS GARDEN FU DAT COURT||23/F||FLAT C||13/08/13||$ 8.38 M||652 s.f.||762 s.f.||$ 12,853||$ 10,997
FORTRESS GARDEN FU KAR COURT||17/F||FLAT A||24/07/13||$ 8.50 M||658 s.f.||773 s.f.||$ 12,918||$ 10,996
FORTRESS GARDEN FU WAI COURT||13/F||FLAT H||12/07/13||$ 7.59 M||650 s.f.||747 s.f.||$ 11,677||$ 10,161
FORTRESS GARDEN FU KAR COURT||12/F||FLAT A||08/07/13||$ 8.35 M||658 s.f.||773 s.f.||$ 12,690||$ 10,802
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:
Fastener Insert Machine Operator Warminster, PA 10/02/13
Quality Engineer Warminster, PA 09/30/13
Shipping Supervisor Warminster, PA 09/27/13
Welder - Second Shift Warminster, PA 09/19/13
Welder - First Shift Warminster, PA 09/19/13
Production Quality Technician Warminster, PA 09/16/13
Painter (Paintline) Warminster, PA 09/11/13
Material Picker and CNC Support Warminster, PA 08/28/13
Assembler - Warminster, PA Warminster, PA 01/09/13
Assembler - Plymouth Twp, MI Plymouth Twp, MI 01/09/13



TEGRA_table_txt_file: table_6043.txt
TEGRA_TABLE_TEXT: Fastener Insert Machine Operator Warminster, PA 10/02/13
Quality Engineer Warminster, PA 09/30/13
Shipping Supervisor Warminster, PA 09/27/13
Welder - Second Shift Warminster, PA 09/19/13
Welder - First Shift Warminster, PA 09/19/13
Production Quality Technician Warminster, PA 09/16/13
Painter (Paintline) Warminster, PA 09/11/13
Material Picker and CNC Support Warminster, PA 08/28/13
Assembler - Warminster, PA Warminster, PA 01/09/13
Assembler - Plymouth Twp, MI Plymouth Twp, MI 01/09/13
label: Fastener Insert Machine Operator||Warminster, PA||10/02/13
Quality Engineer||Warminster, PA||09/30/13
Shipping Supervisor||Warminster, PA||09/27/13
Welder - Second Shift||Warminster, PA||09/19/13
Welder - First Shift||Warminster, PA||09/19/13
Production Quality Technician||Warminster, PA||09/16/13
Painter (Paintline)||Warminster, PA||09/11/13
Material Picker and CNC Support||Warminster, PA||08/28/13
Assembler - Warminster, PA||Warminster, PA||01/09/13
Assembler - Plymouth Twp, MI||Plymouth Twp, MI||01/09/13
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
Atlconv.dll 10.0.2108.2216 306,096 16-Jan-2009 22:24
Blnmgr.dll 10.0.6712.0 80,576 16-Jan-2009 22:24
Mspjevts.dll 10.0.2108.2216 77,216 16-Jan-2009 22:24
Pj10od10.dll 10.0.2108.2216 900,016 16-Jan-2009 22:24
Pj10tm10.dll 10.0.2105.1829 265,456 16-Jan-2009 22:24
Pjoledb.dll 10.0.2105.1829 4,127,984 16-Jan-2009 22:25
Prjres.dll 10.0.2108.2216 1,715,112 16-Jan-2009 22:25
Serconv.dll 10.0.2108.2216 654,256 16-Jan-2009 22:25



TEGRA_table_txt_file: table_613.txt
TEGRA_TABLE_TEXT: Atlconv.dll 10.0.2108.2216 306,096 16-Jan-2009 22:24
Blnmgr.dll 10.0.6712.0 80,576 16-Jan-2009 22:24
Mspjevts.dll 10.0.2108.2216 77,216 16-Jan-2009 22:24
Pj10od10.dll 10.0.2108.2216 900,016 16-Jan-2009 22:24
Pj10tm10.dll 10.0.2105.1829 265,456 16-Jan-2009 22:24
Pjoledb.dll 10.0.2105.1829 4,127,984 16-Jan-2009 22:25
Prjres.dll 10.0.2108.2216 1,715,112 16-Jan-2009 22:25
Serconv.dll 10.0.2108.2216 654,256 16-Jan-2009 22:25
label: Atlconv.dll||10.0.2108.2216||306,096||16-Jan-2009||22:24
Blnmgr.dll||10.0.6712.0||80,576||16-Jan-2009||22:24
Mspjevts.dll||10.0.2108.2216||77,216||16-Jan-2009||22:24
Pj10od10.dll||10.0.2108.2216||900,016||16-Jan-2009||22:24
Pj10tm10.dll||10.0.2105.1829||265,456||16-Jan-2009||22:24
Pjoledb.dll||10.0.2105.1829||4,127,984||16-Jan-2009||22:25
Prjres.dll||10.0.2108.2216||1,715,112||16-Jan-2009||22:25
Serconv.dll||10.0.2108.2216||654,256||16-Jan-2009||22:25
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:
Team W L T Run Diff Runs Scored
Dallas Patriots - Brooks 4 0 0 25 41
Dallas Dodgers Blue 4 0 0 15 21
Dallas D'Backs 2 1 1 3 21
Dallas Stars 2 2 0 -10 16
NTX Astros 1 3 0 -12 12
Dallas Patriots - Rose 1 3 0 -9 11
Red Oak Baseball Club 1 3 0 -8 14



TEGRA_table_txt_file: table_2488.txt
TEGRA_TABLE_TEXT: Team W L T Run Diff Runs Scored
Dallas Patriots - Brooks 4 0 0 25 41
Dallas Dodgers Blue 4 0 0 15 21
Dallas D'Backs 2 1 1 3 21
Dallas Stars 2 2 0 -10 16
NTX Astros 1 3 0 -12 12
Dallas Patriots - Rose 1 3 0 -9 11
Red Oak Baseball Club 1 3 0 -8 14
label: Team||W||L||T||Run Diff||Runs Scored
Dallas Patriots - Brooks||4||0||0||25||41
Dallas Dodgers Blue||4||0||0||15||21
Dallas D'Backs||2||1||1||3||21
Dallas Stars||2||2||0||-10||16
NTX Astros||1||3||0||-12||12
Dallas Patriots - Rose||1||3||0||-9||11
Red Oak Baseball Club||1||3||0||-8||14
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:
76' Roosters Sonny Bill Williams - Try 12 - 26
72' Roosters Boyd Cordner - Try 12 - 22
68' Knights Tyrone Roberts - Penalty 12 - 18
59' Knights James McManus - Try 10 - 18
50' Roosters James Maloney - Conversion 6 - 18
49' Roosters Sam Moa - Try 6 - 16
Min  1st Half Details Score
32' Roosters James Maloney - Conversion 6 - 12
31' Roosters Michael Jennings - Try 6 - 10
23' Knights Tyrone Roberts - Conversion 6 - 6
21' Knights Darius Boyd - Try 4 - 6
20' Roosters James Maloney - Conversion 0 - 6



TEGRA_table_txt_file: table_1220.txt
TEGRA_TABLE_TEXT: 76' Roosters Sonny Bill Williams - Try 12 - 26
72' Roosters Boyd Cordner - Try 12 - 22
68' Knights Tyrone Roberts - Penalty 12 - 18
59' Knights James McManus - Try 10 - 18
50' Roosters James Maloney - Conversion 6 - 18
49' Roosters Sam Moa - Try 6 - 16
Min  1st Half Details Score
32' Roosters James Maloney - Conversion 6 - 12
31' Roosters Michael Jennings - Try 6 - 10
23' Knights Tyrone Roberts - Conversion 6 - 6
21' Knights Darius Boyd - Try 4 - 6
20' Roosters James Maloney - Conversion 0 - 6
label: 76'||Roosters||Sonny Bill Williams - Try||12 - 26
72'||Roosters||Boyd Cordner - Try||12 - 22
68'||Knights||Tyrone Roberts - Penalty||12 - 18
59'||Knights||James McManus - Try||10 - 18
50'||Roosters||James Maloney - Conversion||6 - 18
49'||Roosters||Sam Moa - Try||6 - 16
Min||||1st Half Details||Score
32'||Roosters||James Maloney - Conversion||6 - 12
31'||Roosters||Michael Jennings - Try||6 - 10
23'||Knights||Tyrone Roberts - Conversion||6 - 6
21'||Knights||Darius Boyd - Try||4 - 6
20'||Roosters||James Maloney - Conversion||0 - 6
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
2 BIGGLES Noel J Doyle 95
3 DANAGAZE Lawrie Mayfield-Smith 85
4 DANLEIGH Chris Waller 112
5 EPIC Kelly Schweida 87.5
6 FIRE UP FIFI Robert Heathcote 98
7 FIREBOLT (NZ) Chris Waller 
8 FLORIA (NZ) Peter G Moody 
9 FLYING HOME Barry Baldwin 72.5
10 HOUR OF PERIL John P Thompson 90
11 IBICENCO (GER) Peter G Moody 
12 ONETIMEATBANDCAMP John P Thompson 81
13 RANGIRANGDOO (NZ) Chris Waller 
14 SHAMARDASHING John P Thompson 95
15 SOLZHENITSYN (NZ) Robert Heathcote 109
16 TRANSPORTER John P Thompson 99
17 VOILA ICI (IRE) Peter G Moody 
18 WHAT HAPPENEDHENRY Kelly Schweida 85
19 WONDERFUL JESTER John P Thompson 69



TEGRA_table_txt_file: table_2202.txt
TEGRA_TABLE_TEXT: 2 BIGGLES Noel J Doyle 95
3 DANAGAZE Lawrie Mayfield-Smith 85
4 DANLEIGH Chris Waller 112
5 EPIC Kelly Schweida 87.5
6 FIRE UP FIFI Robert Heathcote 98
7 FIREBOLT (NZ) Chris Waller 
8 FLORIA (NZ) Peter G Moody 
9 FLYING HOME Barry Baldwin 72.5
10 HOUR OF PERIL John P Thompson 90
11 IBICENCO (GER) Peter G Moody 
12 ONETIMEATBANDCAMP John P Thompson 81
13 RANGIRANGDOO (NZ) Chris Waller 
14 SHAMARDASHING John P Thompson 95
15 SOLZHENITSYN (NZ) Robert Heathcote 109
16 TRANSPORTER John P Thompson 99
17 VOILA ICI (IRE) Peter G Moody 
18 WHAT HAPPENEDHENRY Kelly Schweida 85
19 WONDERFUL JESTER John P Thompson 69
label: 2||BIGGLES||Noel J Doyle||95
3||DANAGAZE||Lawrie Mayfield-Smith||85
4||DANLEIGH||Chris Waller||112
5||EPIC||Kelly Schweida||87.5
6||FIRE UP FIFI||Robert Heathcote||98
7||FIREBOLT (NZ)||Chris Waller||
8||FLORIA (NZ)||Peter G Moody||
9||FLYING HOME||Barry Baldwin||72.5
10||HOUR OF PERIL||John P Thompson||90
11||IBICENCO (GER)||Peter G Moody||
12||ONETIMEATBANDCAMP||John P Thompson||81
13||RANGIRANGDOO (NZ)||Chris Waller||
14||SHAMARDASHING||John P Thompson||95
15||SOLZHENITSYN (NZ)||Robert Heathcote||109
16||TRANSPORTER||John P Thompson||99
17||VOILA ICI (IRE)||Peter G Moody||
18||WHAT HAPPENEDHENRY||Kelly Schweida||85
19||WONDERFUL JESTER||John P Thompson||69
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:
Raül Vall-llosada Wing Free Agent
Richard Cottrell Centre Free Agent
Xavi Zubero Centre BUC
Marc Forman Wing CR Sant Cugat
Alex Carrasco Five-eighth Free Agent
Ermengol Alemany Halfback BUC
Mariano Lago Prop Free Agent
Joan Porras Hooker BUC
Joan Miquel Petanàs Prop CE INEF Lleida
Òscar Mercè Second-row CE INEF Lleida
Sergio Calzada Second-row BUC
Albert Homs Loose forward GEiEG
Julien Lebon Interchange CNPN Enginyers
Calvin Tchoumi Interchange CE INEF Lleida
Jose Plegueauelos Interchange CR Tarragona
Joaquim Sala Interchange GEiEG
Javier López Reserve BUC



TEGRA_table_txt_file: table_7769.txt
TEGRA_TABLE_TEXT: Raül Vall-llosada Wing Free Agent
Richard Cottrell Centre Free Agent
Xavi Zubero Centre BUC
Marc Forman Wing CR Sant Cugat
Alex Carrasco Five-eighth Free Agent
Ermengol Alemany Halfback BUC
Mariano Lago Prop Free Agent
Joan Porras Hooker BUC
Joan Miquel Petanàs Prop CE INEF Lleida
Òscar Mercè Second-row CE INEF Lleida
Sergio Calzada Second-row BUC
Albert Homs Loose forward GEiEG
Julien Lebon Interchange CNPN Enginyers
Calvin Tchoumi Interchange CE INEF Lleida
Jose Plegueauelos Interchange CR Tarragona
Joaquim Sala Interchange GEiEG
Javier López Reserve BUC
label: Raül Vall-llosada||Wing||Free Agent
Richard Cottrell||Centre||Free Agent
Xavi Zubero||Centre||BUC
Marc Forman||Wing||CR Sant Cugat
Alex Carrasco||Five-eighth||Free Agent
Ermengol Alemany||Halfback||BUC
Mariano Lago||Prop||Free Agent
Joan Porras||Hooker||BUC
Joan Miquel Petanàs||Prop||CE INEF Lleida
Òscar Mercè||Second-row||CE INEF Lleida
Sergio Calzada||Second-row||BUC
Albert Homs||Loose forward||GEiEG
Julien Lebon||Interchange||CNPN Enginyers
Calvin Tchoumi||Interchange||CE INEF Lleida
Jose Plegueauelos||Interchange||CR Tarragona
Joaquim Sala||Interchange||GEiEG
Javier López||Reserve||BUC
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:
 TK Ast
B. Jones 7 6
J. Garrett 5 1
E. Patterson 5 1
D. Hurley 3 6
B. Ingle 3 8
J. Newsome 2 5
Z. Ryan 2 5
K. Wenning 1 0
S. Secor 1 0
D. Smith 1 1
J. Fazio 1 2
A. Taylor 1 3
K. Lee 1 7
A. Bailey 0 1
N. Ollie 0 1
J. Cox 0 1
W. Snead 0 1
C. Shillings 0 1
Q. Cooper 0 2



TEGRA_table_txt_file: table_2551.txt
TEGRA_TABLE_TEXT:  TK Ast
B. Jones 7 6
J. Garrett 5 1
E. Patterson 5 1
D. Hurley 3 6
B. Ingle 3 8
J. Newsome 2 5
Z. Ryan 2 5
K. Wenning 1 0
S. Secor 1 0
D. Smith 1 1
J. Fazio 1 2
A. Taylor 1 3
K. Lee 1 7
A. Bailey 0 1
N. Ollie 0 1
J. Cox 0 1
W. Snead 0 1
C. Shillings 0 1
Q. Cooper 0 2
label: ||TK||Ast
B. Jones||7||6
J. Garrett||5||1
E. Patterson||5||1
D. Hurley||3||6
B. Ingle||3||8
J. Newsome||2||5
Z. Ryan||2||5
K. Wenning||1||0
S. Secor||1||0
D. Smith||1||1
J. Fazio||1||2
A. Taylor||1||3
K. Lee||1||7
A. Bailey||0||1
N. Ollie||0||1
J. Cox||0||1
W. Snead||0||1
C. Shillings||0||1
Q. Cooper||0||2
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
udp://tracker.publicbt.com:80/scrape 13 3 10
http://ipv4.tracker.harry.lu/scrape 0 0 0
http://genesis.1337x.org:1337/scrape 0 0 0
http://exodus.1337x.org/scrape 0 0 0
http://nemesis.1337x.org/scrape 0 0 0
http://tracker.thepiratebay.org/scrape 0 0 0
http://tracker.ccc.de/scrape 0 0 0
http://tracker.publicbt.com/scrape 0 0 0
http://10.rarbg.com/scrape 0 0 0



TEGRA_table_txt_file: table_7244.txt
TEGRA_TABLE_TEXT: udp://tracker.publicbt.com:80/scrape 13 3 10
http://ipv4.tracker.harry.lu/scrape 0 0 0
http://genesis.1337x.org:1337/scrape 0 0 0
http://exodus.1337x.org/scrape 0 0 0
http://nemesis.1337x.org/scrape 0 0 0
http://tracker.thepiratebay.org/scrape 0 0 0
http://tracker.ccc.de/scrape 0 0 0
http://tracker.publicbt.com/scrape 0 0 0
http://10.rarbg.com/scrape 0 0 0
label: udp://tracker.publicbt.com:80/scrape||13||3||10
http://ipv4.tracker.harry.lu/scrape||0||0||0
http://genesis.1337x.org:1337/scrape||0||0||0
http://exodus.1337x.org/scrape||0||0||0
http://nemesis.1337x.org/scrape||0||0||0
http://tracker.thepiratebay.org/scrape||0||0||0
http://tracker.ccc.de/scrape||0||0||0
http://tracker.publicbt.com/scrape||0||0||0
http://10.rarbg.com/scrape||0||0||0