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:
udp://tracker.publicbt.com:80/announce active 30 Sep 2013 1 0 1
udp://tracker.istole.it:80/announce outdated 23 Sep 2012 - - -
udp://tracker.1337x.org:80/announce outdated 23 Sep 2012 - - -
http://tracker.istole.it/announce outdated 23 Sep 2012 - - -
http://tracker.publicbt.com/announce outdated 23 Sep 2012 - - -
http://exodus.desync.com:6969/announce blocked 23 Sep 2012 - - -



TEGRA_table_txt_file: table_4957.txt
TEGRA_TABLE_TEXT: udp://tracker.publicbt.com:80/announce active 30 Sep 2013 1 0 1
udp://tracker.istole.it:80/announce outdated 23 Sep 2012 - - -
udp://tracker.1337x.org:80/announce outdated 23 Sep 2012 - - -
http://tracker.istole.it/announce outdated 23 Sep 2012 - - -
http://tracker.publicbt.com/announce outdated 23 Sep 2012 - - -
http://exodus.desync.com:6969/announce blocked 23 Sep 2012 - - -
label: udp://tracker.publicbt.com:80/announce||active||30 Sep 2013||1||0||1
udp://tracker.istole.it:80/announce||outdated||23 Sep 2012||-||-||-
udp://tracker.1337x.org:80/announce||outdated||23 Sep 2012||-||-||-
http://tracker.istole.it/announce||outdated||23 Sep 2012||-||-||-
http://tracker.publicbt.com/announce||outdated||23 Sep 2012||-||-||-
http://exodus.desync.com:6969/announce||blocked||23 Sep 2012||-||-||-
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:
Land area in square miles 47 1,358 261,232 3,531,907
People per sq. mi. 1,941 230 96 87
Median Age 34 35 34 38
2010 Real Estate Market Data Pearland Brazoria County Texas United States
Total Housing Units 33,169 118,336 9,977,436 131,704,730
Owner Occupied 75% 67% 57% 58%
Rental Units 19% 23% 32% 31%
Vacant Units 6% 10% 11% 11%



TEGRA_table_txt_file: table_4233.txt
TEGRA_TABLE_TEXT: Land area in square miles 47 1,358 261,232 3,531,907
People per sq. mi. 1,941 230 96 87
Median Age 34 35 34 38
2010 Real Estate Market Data Pearland Brazoria County Texas United States
Total Housing Units 33,169 118,336 9,977,436 131,704,730
Owner Occupied 75% 67% 57% 58%
Rental Units 19% 23% 32% 31%
Vacant Units 6% 10% 11% 11%
label: Land area in square miles||47||1,358||261,232||3,531,907
People per sq. mi.||1,941||230||96||87
Median Age||34||35||34||38
2010 Real Estate Market Data||Pearland||Brazoria County||Texas||United States
Total Housing Units||33,169||118,336||9,977,436||131,704,730
Owner Occupied||75%||67%||57%||58%
Rental Units||19%||23%||32%||31%
Vacant Units||6%||10%||11%||11%
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:
Balance/Equilibrium 33.3% 0% 33.3% 33.3% 0%
Blood Pressure 0% 0% 100% 0% 0%
Breathing 33.3% 0% 66.7% 0% 0%
Confidence 0% 0% 100% 0% 0%
Coordination/Motor Skills 33.3% 0% 66.7% 0% 0%
Digestion 0% 0% 100% 0% 0%
Emotional Well-being 0% 33.3% 66.7% 0% 0%
Energy 0% 33.3% 33.3% 33.3% 0%
Eyesight 0% 0% 100% 0% 0%
Memory 0% 0% 100% 0% 0%
Mental Clarity 0% 0% 100% 0% 0%
Pain 33.3% 0% 66.7% 0% 0%
Patience 0% 0% 100% 0% 0%
Sexual Health 0% 0% 100% 0% 0%
Skin Complexion 0% 0% 100% 0% 0%
Sleep 0% 33.3% 33.3% 33.3% 0%



TEGRA_table_txt_file: table_6958.txt
TEGRA_TABLE_TEXT: Balance/Equilibrium 33.3% 0% 33.3% 33.3% 0%
Blood Pressure 0% 0% 100% 0% 0%
Breathing 33.3% 0% 66.7% 0% 0%
Confidence 0% 0% 100% 0% 0%
Coordination/Motor Skills 33.3% 0% 66.7% 0% 0%
Digestion 0% 0% 100% 0% 0%
Emotional Well-being 0% 33.3% 66.7% 0% 0%
Energy 0% 33.3% 33.3% 33.3% 0%
Eyesight 0% 0% 100% 0% 0%
Memory 0% 0% 100% 0% 0%
Mental Clarity 0% 0% 100% 0% 0%
Pain 33.3% 0% 66.7% 0% 0%
Patience 0% 0% 100% 0% 0%
Sexual Health 0% 0% 100% 0% 0%
Skin Complexion 0% 0% 100% 0% 0%
Sleep 0% 33.3% 33.3% 33.3% 0%
label: Balance/Equilibrium||33.3%||0%||33.3%||33.3%||0%
Blood Pressure||0%||0%||100%||0%||0%
Breathing||33.3%||0%||66.7%||0%||0%
Confidence||0%||0%||100%||0%||0%
Coordination/Motor Skills||33.3%||0%||66.7%||0%||0%
Digestion||0%||0%||100%||0%||0%
Emotional Well-being||0%||33.3%||66.7%||0%||0%
Energy||0%||33.3%||33.3%||33.3%||0%
Eyesight||0%||0%||100%||0%||0%
Memory||0%||0%||100%||0%||0%
Mental Clarity||0%||0%||100%||0%||0%
Pain||33.3%||0%||66.7%||0%||0%
Patience||0%||0%||100%||0%||0%
Sexual Health||0%||0%||100%||0%||0%
Skin Complexion||0%||0%||100%||0%||0%
Sleep||0%||33.3%||33.3%||33.3%||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:
EURRON 4.4432 4.4568 17:59:00
GBPUSD 1.6169 1.617 17:59:00
EURGBP 0.8536 0.8537 17:59:00
USDCHF 0.8918 0.8918 17:59:00
USDJPY 97.33 97.38 17:59:00
EURJPY 134.3446 134.4156 17:59:00
AUDUSD 0.959 0.9593 17:59:00



TEGRA_table_txt_file: table_8542.txt
TEGRA_TABLE_TEXT: EURRON 4.4432 4.4568 17:59:00
GBPUSD 1.6169 1.617 17:59:00
EURGBP 0.8536 0.8537 17:59:00
USDCHF 0.8918 0.8918 17:59:00
USDJPY 97.33 97.38 17:59:00
EURJPY 134.3446 134.4156 17:59:00
AUDUSD 0.959 0.9593 17:59:00
label: EURRON||4.4432||4.4568||17:59:00
GBPUSD||1.6169||1.617||17:59:00
EURGBP||0.8536||0.8537||17:59:00
USDCHF||0.8918||0.8918||17:59:00
USDJPY||97.33||97.38||17:59:00
EURJPY||134.3446||134.4156||17:59:00
AUDUSD||0.959||0.9593||17:59:00
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:
S8600BOKJ1 ## 2 2011 September S8600TPLKJ1 Poland (T-mobile) Download
S8600XXKI9 ## 2 2011 September S8600OXAKI1 Open Europe Download
S8600XXKJC ## * 2 2011 October S8600OXAKJB France Download
S8600XXKJC ## 2 2011 November S8600DBTKJ4 Open Germany Download
S8600XXKK5 ## * 2 2011 November S8600OXAKK3 France Download
S8600XXKK5 ## * 2 2011 November S8600OXAKK3 Poland Download
S8600XXKK5 ## * 2 2011 November S8600VIAKJ2 Germany (O2) Download
S8600XWKL1 ## *  2011 December S8600OXGKL1 Switzerland Download
S8600XXKK5 ## * 2 2011 December S8600DBTKL1 Open Germany Download
S8600XWLA1 * 2 2012 January S8600OXGLA1 Switzerland Download



TEGRA_table_txt_file: table_291.txt
TEGRA_TABLE_TEXT: S8600BOKJ1 ## 2 2011 September S8600TPLKJ1 Poland (T-mobile) Download
S8600XXKI9 ## 2 2011 September S8600OXAKI1 Open Europe Download
S8600XXKJC ## * 2 2011 October S8600OXAKJB France Download
S8600XXKJC ## 2 2011 November S8600DBTKJ4 Open Germany Download
S8600XXKK5 ## * 2 2011 November S8600OXAKK3 France Download
S8600XXKK5 ## * 2 2011 November S8600OXAKK3 Poland Download
S8600XXKK5 ## * 2 2011 November S8600VIAKJ2 Germany (O2) Download
S8600XWKL1 ## *  2011 December S8600OXGKL1 Switzerland Download
S8600XXKK5 ## * 2 2011 December S8600DBTKL1 Open Germany Download
S8600XWLA1 * 2 2012 January S8600OXGLA1 Switzerland Download
label: S8600BOKJ1 ##||2||2011 September||S8600TPLKJ1||Poland (T-mobile)||Download
S8600XXKI9 ##||2||2011 September||S8600OXAKI1||Open Europe||Download
S8600XXKJC ## *||2||2011 October||S8600OXAKJB||France||Download
S8600XXKJC ##||2||2011 November||S8600DBTKJ4||Open Germany||Download
S8600XXKK5 ## *||2||2011 November||S8600OXAKK3||France||Download
S8600XXKK5 ## *||2||2011 November||S8600OXAKK3||Poland||Download
S8600XXKK5 ## *||2||2011 November||S8600VIAKJ2||Germany (O2)||Download
S8600XWKL1 ## *||||2011 December||S8600OXGKL1||Switzerland||Download
S8600XXKK5 ## *||2||2011 December||S8600DBTKL1||Open Germany||Download
S8600XWLA1 *||2||2012 January||S8600OXGLA1||Switzerland||Download
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:
Prote&iacute;nas NxG. 25 13,98 13,98 2.81 11,90 6,28 6,75
Extracto et&eacute;reo 1.79 1,79 1,20 5,50 3,77 0,61
Carbohidratos 78,49 78,49 91,96 77,7 83,65 87.75
Calcio (mg) 258,96 258,96 108,43 95,24 138,36 18,40
F&oacute;sforo (mg) 189,96 189.96 200,30 230,16 226.41 171,78
Fierro {mg) 15,41 15,41 4,41 7,94 10,06 6,75
Caroteno (mg) - - - 6,34 0,06 0,18
Tiamina (mg) 0,17 0,17 0,36 0,79 0.31 0,30
Riboflavina (mg) 0,39 0,39 0,32 0.95 0,82 0,18
Niacina (mg) - - 11,40 5,32 2,70 1,22



TEGRA_table_txt_file: table_3912.txt
TEGRA_TABLE_TEXT: Prote&iacute;nas NxG. 25 13,98 13,98 2.81 11,90 6,28 6,75
Extracto et&eacute;reo 1.79 1,79 1,20 5,50 3,77 0,61
Carbohidratos 78,49 78,49 91,96 77,7 83,65 87.75
Calcio (mg) 258,96 258,96 108,43 95,24 138,36 18,40
F&oacute;sforo (mg) 189,96 189.96 200,30 230,16 226.41 171,78
Fierro {mg) 15,41 15,41 4,41 7,94 10,06 6,75
Caroteno (mg) - - - 6,34 0,06 0,18
Tiamina (mg) 0,17 0,17 0,36 0,79 0.31 0,30
Riboflavina (mg) 0,39 0,39 0,32 0.95 0,82 0,18
Niacina (mg) - - 11,40 5,32 2,70 1,22
label: Prote&iacute;nas NxG. 25||13,98||13,98||2.81||11,90||6,28||6,75
Extracto et&eacute;reo||1.79||1,79||1,20||5,50||3,77||0,61
Carbohidratos||78,49||78,49||91,96||77,7||83,65||87.75
Calcio (mg)||258,96||258,96||108,43||95,24||138,36||18,40
F&oacute;sforo (mg)||189,96||189.96||200,30||230,16||226.41||171,78
Fierro {mg)||15,41||15,41||4,41||7,94||10,06||6,75
Caroteno (mg)||-||-||-||6,34||0,06||0,18
Tiamina (mg)||0,17||0,17||0,36||0,79||0.31||0,30
Riboflavina (mg)||0,39||0,39||0,32||0.95||0,82||0,18
Niacina (mg)||-||-||11,40||5,32||2,70||1,22
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:
Shipping Weight 4119 4265 4840 5340
Carrying Capacity 2681 2535 2760 2200
Hitch 425 490 600 540
Length 23' 0" 23' 10" 27' 5" 26' 1"
Height 10' 6" 10' 3" 10' 3" 10' 3"
Fresh Water 60 60 60 60
Waste Water 32 38 38 38
Gray Water 38 38 38 76
LPG 60 60 60 60
Tire Size ST205/75R14C ST205/75R14C ST205/75R14C 205/75R15C
Type Travel Trailers Travel Trailers Travel Trailers Travel Trailers



TEGRA_table_txt_file: table_2839.txt
TEGRA_TABLE_TEXT: Shipping Weight 4119 4265 4840 5340
Carrying Capacity 2681 2535 2760 2200
Hitch 425 490 600 540
Length 23' 0" 23' 10" 27' 5" 26' 1"
Height 10' 6" 10' 3" 10' 3" 10' 3"
Fresh Water 60 60 60 60
Waste Water 32 38 38 38
Gray Water 38 38 38 76
LPG 60 60 60 60
Tire Size ST205/75R14C ST205/75R14C ST205/75R14C 205/75R15C
Type Travel Trailers Travel Trailers Travel Trailers Travel Trailers
label: Shipping Weight||4119||4265||4840||5340
Carrying Capacity||2681||2535||2760||2200
Hitch||425||490||600||540
Length||23' 0"||23' 10"||27' 5"||26' 1"
Height||10' 6"||10' 3"||10' 3"||10' 3"
Fresh Water||60||60||60||60
Waste Water||32||38||38||38
Gray Water||38||38||38||76
LPG||60||60||60||60
Tire Size||ST205/75R14C||ST205/75R14C||ST205/75R14C||205/75R15C
Type||Travel Trailers||Travel Trailers||Travel Trailers||Travel Trailers
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:
Schleifer: 1 Stück 7164
Pantograph: 2 Stück 215000
Leuchtmittel: 2 Stück 600150
Bürsten: 1 Stück 601460
Fahrrichtungsschalter: 1 Stück 208240
Schaltschiebefeder: 1Stück 7194
Kupplung: 2 Stück 214840



TEGRA_table_txt_file: table_2418.txt
TEGRA_TABLE_TEXT: Schleifer: 1 Stück 7164
Pantograph: 2 Stück 215000
Leuchtmittel: 2 Stück 600150
Bürsten: 1 Stück 601460
Fahrrichtungsschalter: 1 Stück 208240
Schaltschiebefeder: 1Stück 7194
Kupplung: 2 Stück 214840
label: Schleifer:||1 Stück||7164
Pantograph:||2 Stück||215000
Leuchtmittel:||2 Stück||600150
Bürsten:||1 Stück||601460
Fahrrichtungsschalter:||1 Stück||208240
Schaltschiebefeder:||1Stück||7194
Kupplung:||2 Stück||214840
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:
February 11.5° 44.8 0.1 0.1
March 12.5° 43.5 0.1 0.1
April 17.6° 55.9 0.1 0.1
May 20.1° 50.1 0.1 0.1
June 26.5° 28.3 0.1 0.1
July 28.4° 17.1 0.1 0.1
August 28.1° 32.0 0.1 0.1
September 26.1° 47.3 0.1 0.1
October 21.1° 89.8 0.1 0.1
November 15.8° 58.6 0.1 0.1



TEGRA_table_txt_file: table_3403.txt
TEGRA_TABLE_TEXT: February 11.5° 44.8 0.1 0.1
March 12.5° 43.5 0.1 0.1
April 17.6° 55.9 0.1 0.1
May 20.1° 50.1 0.1 0.1
June 26.5° 28.3 0.1 0.1
July 28.4° 17.1 0.1 0.1
August 28.1° 32.0 0.1 0.1
September 26.1° 47.3 0.1 0.1
October 21.1° 89.8 0.1 0.1
November 15.8° 58.6 0.1 0.1
label: February||11.5°||44.8||0.1||0.1
March||12.5°||43.5||0.1||0.1
April||17.6°||55.9||0.1||0.1
May||20.1°||50.1||0.1||0.1
June||26.5°||28.3||0.1||0.1
July||28.4°||17.1||0.1||0.1
August||28.1°||32.0||0.1||0.1
September||26.1°||47.3||0.1||0.1
October||21.1°||89.8||0.1||0.1
November||15.8°||58.6||0.1||0.1
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:
UK Size 18 20 22 24 26 28 30       
 inch cm inch cm inch cm inch cm inch cm inch cm inch cm
Bust 41 104 43 109 45 114 47 119 49 124 51 130 53 135
Waist 34 86 36.25 92 38.5 98 40.75 104 43 109 45.25 115 47.5 121
Hips 43.5 110 45.5 116 47.5 121 49.5 126 51.5 131 53.5 136 55.5 141



TEGRA_table_txt_file: table_8963.txt
TEGRA_TABLE_TEXT: UK Size 18 20 22 24 26 28 30       
 inch cm inch cm inch cm inch cm inch cm inch cm inch cm
Bust 41 104 43 109 45 114 47 119 49 124 51 130 53 135
Waist 34 86 36.25 92 38.5 98 40.75 104 43 109 45.25 115 47.5 121
Hips 43.5 110 45.5 116 47.5 121 49.5 126 51.5 131 53.5 136 55.5 141
label: UK Size||18||20||22||24||26||28||30||||||||||||||
||inch||cm||inch||cm||inch||cm||inch||cm||inch||cm||inch||cm||inch||cm
Bust||41||104||43||109||45||114||47||119||49||124||51||130||53||135
Waist||34||86||36.25||92||38.5||98||40.75||104||43||109||45.25||115||47.5||121
Hips||43.5||110||45.5||116||47.5||121||49.5||126||51.5||131||53.5||136||55.5||141
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:
Siebel Developer Job Indianapolis, IN, US Oct 4, 2013
Computer Network Defense Engineer Job Indianapolis, IN, US Oct 4, 2013
Business Enterprise Architect Job Indianapolis, IN, US Oct 5, 2013
Business Enterprise Architect Job Indianapolis, IN, US Oct 7, 2013
Training Coordinator Job Indianapolis, IN, US Oct 11, 2013
Cyber Intelligence Instructor Job Indianapolis, IN, US Oct 4, 2013
Geospatial Intelligence Imagery Instructor Job Indianapolis, IN, US Oct 4, 2013



TEGRA_table_txt_file: table_1974.txt
TEGRA_TABLE_TEXT: Siebel Developer Job Indianapolis, IN, US Oct 4, 2013
Computer Network Defense Engineer Job Indianapolis, IN, US Oct 4, 2013
Business Enterprise Architect Job Indianapolis, IN, US Oct 5, 2013
Business Enterprise Architect Job Indianapolis, IN, US Oct 7, 2013
Training Coordinator Job Indianapolis, IN, US Oct 11, 2013
Cyber Intelligence Instructor Job Indianapolis, IN, US Oct 4, 2013
Geospatial Intelligence Imagery Instructor Job Indianapolis, IN, US Oct 4, 2013
label: Siebel Developer Job||Indianapolis, IN, US||Oct 4, 2013
Computer Network Defense Engineer Job||Indianapolis, IN, US||Oct 4, 2013
Business Enterprise Architect Job||Indianapolis, IN, US||Oct 5, 2013
Business Enterprise Architect Job||Indianapolis, IN, US||Oct 7, 2013
Training Coordinator Job||Indianapolis, IN, US||Oct 11, 2013
Cyber Intelligence Instructor Job||Indianapolis, IN, US||Oct 4, 2013
Geospatial Intelligence Imagery Instructor Job||Indianapolis, IN, US||Oct 4, 2013
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
3 Seamus Mcdonnell 2 0
28 Joel Cullen 2 0
14 Jake Pavlich 1 6
21 Zach Lawless * 1 4
15 Jason Clark 1 0
4 Cody Hicks 1 0
24 Stefan Jarman 1 0
20 Adam Pedler 0 5
19 Scott Fitzgerald 0 3
6 Ryan Sampson 0 2
17 Brad Mehaffey 0 1
11 Chase Wescombe 0 0
10 Joal Downing 0 0
16 Bradley Dittmar 0 0
8 Aaron Dart 0 0
27 Tim Broadbent 0 0
22 Jamie Grosser 0 0
5 Andrew Martin 0 0
13 Matthew Davoren-Searcy 0 0



TEGRA_table_txt_file: table_5329.txt
TEGRA_TABLE_TEXT: 3 Seamus Mcdonnell 2 0
28 Joel Cullen 2 0
14 Jake Pavlich 1 6
21 Zach Lawless * 1 4
15 Jason Clark 1 0
4 Cody Hicks 1 0
24 Stefan Jarman 1 0
20 Adam Pedler 0 5
19 Scott Fitzgerald 0 3
6 Ryan Sampson 0 2
17 Brad Mehaffey 0 1
11 Chase Wescombe 0 0
10 Joal Downing 0 0
16 Bradley Dittmar 0 0
8 Aaron Dart 0 0
27 Tim Broadbent 0 0
22 Jamie Grosser 0 0
5 Andrew Martin 0 0
13 Matthew Davoren-Searcy 0 0
label: 3||Seamus Mcdonnell||2||0
28||Joel Cullen||2||0
14||Jake Pavlich||1||6
21||Zach Lawless *||1||4
15||Jason Clark||1||0
4||Cody Hicks||1||0
24||Stefan Jarman||1||0
20||Adam Pedler||0||5
19||Scott Fitzgerald||0||3
6||Ryan Sampson||0||2
17||Brad Mehaffey||0||1
11||Chase Wescombe||0||0
10||Joal Downing||0||0
16||Bradley Dittmar||0||0
8||Aaron Dart||0||0
27||Tim Broadbent||0||0
22||Jamie Grosser||0||0
5||Andrew Martin||0||0
13||Matthew Davoren-Searcy||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:
Sergio Casas ... color designer
Christoph Charriton ... set designer
Daniel Chong ... storyboard artist
Mike Defeo ... 3D character development
Matt Flynn ... storyboard artist
Martin Fuller ... storyboard artist
Gregory Georges ... color designer
Clément Griselain ... color designer
Trevor Jimenez ... storyboard artist
Carlos León ... color designer
Christophe Lourdelet ... storyboard artist
Paul Mager ... set designer
Steve Moore ... storyboard artist
Mark O'Hare ... storyboard artist
Wilbert Plijnaar ... storyboard artist
Loïc Rastout ... set designer
Philippe Tilikete ... props
Derek Evanick ... additional storyboard artist (uncredited)



TEGRA_table_txt_file: table_6461.txt
TEGRA_TABLE_TEXT: Sergio Casas ... color designer
Christoph Charriton ... set designer
Daniel Chong ... storyboard artist
Mike Defeo ... 3D character development
Matt Flynn ... storyboard artist
Martin Fuller ... storyboard artist
Gregory Georges ... color designer
Clément Griselain ... color designer
Trevor Jimenez ... storyboard artist
Carlos León ... color designer
Christophe Lourdelet ... storyboard artist
Paul Mager ... set designer
Steve Moore ... storyboard artist
Mark O'Hare ... storyboard artist
Wilbert Plijnaar ... storyboard artist
Loïc Rastout ... set designer
Philippe Tilikete ... props
Derek Evanick ... additional storyboard artist (uncredited)
label: Sergio Casas||...||color designer
Christoph Charriton||...||set designer
Daniel Chong||...||storyboard artist
Mike Defeo||...||3D character development
Matt Flynn||...||storyboard artist
Martin Fuller||...||storyboard artist
Gregory Georges||...||color designer
Clément Griselain||...||color designer
Trevor Jimenez||...||storyboard artist
Carlos León||...||color designer
Christophe Lourdelet||...||storyboard artist
Paul Mager||...||set designer
Steve Moore||...||storyboard artist
Mark O'Hare||...||storyboard artist
Wilbert Plijnaar||...||storyboard artist
Loïc Rastout||...||set designer
Philippe Tilikete||...||props
Derek Evanick||...||additional storyboard artist (uncredited)
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
25,588 truckpaper.com 63.70.164.19 n/a
25,589 american-classifieds.net 188.215.55.165 India
25,590 bike-board.net 213.239.192.240 Switzerland
25,591 portal.bc.edu 136.167.3.171 United States
25,592 lwsd.wednet.edu 207.54.156.30 United States
25,593 fitness.families.com 72.29.184.72 United States
25,594 mu.gate.vn 180.148.131.43 Vietnam
25,596 reslife.uvm.edu 132.198.101.197 United States
25,597 wincmd.com 64.131.64.240 Germany



TEGRA_table_txt_file: table_3594.txt
TEGRA_TABLE_TEXT: 25,588 truckpaper.com 63.70.164.19 n/a
25,589 american-classifieds.net 188.215.55.165 India
25,590 bike-board.net 213.239.192.240 Switzerland
25,591 portal.bc.edu 136.167.3.171 United States
25,592 lwsd.wednet.edu 207.54.156.30 United States
25,593 fitness.families.com 72.29.184.72 United States
25,594 mu.gate.vn 180.148.131.43 Vietnam
25,596 reslife.uvm.edu 132.198.101.197 United States
25,597 wincmd.com 64.131.64.240 Germany
label: 25,588||truckpaper.com||63.70.164.19||n/a
25,589||american-classifieds.net||188.215.55.165||India
25,590||bike-board.net||213.239.192.240||Switzerland
25,591||portal.bc.edu||136.167.3.171||United States
25,592||lwsd.wednet.edu||207.54.156.30||United States
25,593||fitness.families.com||72.29.184.72||United States
25,594||mu.gate.vn||180.148.131.43||Vietnam
25,596||reslife.uvm.edu||132.198.101.197||United States
25,597||wincmd.com||64.131.64.240||Germany
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:
STARTERS M FG FT TR A PF PTS
Z. Randolph, PF 38 10-16 5-5 16 1 4 25
M. Conley, PG 38 4-11 2-3 4 8 0 12
R. Gay, SF 35 5-13 3-3 1 1 0 14
M. Gasol, C 33 5-10 6-9 8 0 4 16
T. Allen, SG 29 3-7 1-2 4 1 1 7
BENCH M FG FT TR A PF PTS
Q. Pondexter, SF 17 1-2 2-2 0 2 3 5
W. Ellington, SG 15 3-6 0-0 1 1 0 6
M. Speights, PF 14 4-8 0-0 4 0 0 8
H. Haddadi, C 12 1-5 0-0 8 1 4 2
J. Bayless, PG 10 2-7 0-0 2 1 0 4
D. Arthur, PF Did Not Play      
J. Selby, PG Did Not Play      
T. Wroten, PG Did Not Play      
Totals  38-85 19-24 48 16 16 99
 44.7% 79.2%     



TEGRA_table_txt_file: table_3396.txt
TEGRA_TABLE_TEXT: STARTERS M FG FT TR A PF PTS
Z. Randolph, PF 38 10-16 5-5 16 1 4 25
M. Conley, PG 38 4-11 2-3 4 8 0 12
R. Gay, SF 35 5-13 3-3 1 1 0 14
M. Gasol, C 33 5-10 6-9 8 0 4 16
T. Allen, SG 29 3-7 1-2 4 1 1 7
BENCH M FG FT TR A PF PTS
Q. Pondexter, SF 17 1-2 2-2 0 2 3 5
W. Ellington, SG 15 3-6 0-0 1 1 0 6
M. Speights, PF 14 4-8 0-0 4 0 0 8
H. Haddadi, C 12 1-5 0-0 8 1 4 2
J. Bayless, PG 10 2-7 0-0 2 1 0 4
D. Arthur, PF Did Not Play      
J. Selby, PG Did Not Play      
T. Wroten, PG Did Not Play      
Totals  38-85 19-24 48 16 16 99
 44.7% 79.2%     
label: STARTERS||M||FG||FT||TR||A||PF||PTS
Z. Randolph, PF||38||10-16||5-5||16||1||4||25
M. Conley, PG||38||4-11||2-3||4||8||0||12
R. Gay, SF||35||5-13||3-3||1||1||0||14
M. Gasol, C||33||5-10||6-9||8||0||4||16
T. Allen, SG||29||3-7||1-2||4||1||1||7
BENCH||M||FG||FT||TR||A||PF||PTS
Q. Pondexter, SF||17||1-2||2-2||0||2||3||5
W. Ellington, SG||15||3-6||0-0||1||1||0||6
M. Speights, PF||14||4-8||0-0||4||0||0||8
H. Haddadi, C||12||1-5||0-0||8||1||4||2
J. Bayless, PG||10||2-7||0-0||2||1||0||4
D. Arthur, PF||Did Not Play||||||||||||
J. Selby, PG||Did Not Play||||||||||||
T. Wroten, PG||Did Not Play||||||||||||
Totals||||38-85||19-24||48||16||16||99
||44.7%||79.2%||||||||||
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:
430 N State St For Sale $96,000 5 2 2,339
117 E Downie St Not For Sale - 2 2 623
111 E Downie St Not For Sale - 4 2 2,111
418 Woodworth Ave For Sale $99,000 2 2 1,600
524 N State St Not For Sale - 5 2 2,141
503 N State St Not For Sale - 6 3 6,552
208 Hastings St Not For Sale - 3 1 1,761
609 Woodworth Ave Not For Sale - 3 2 1,800
120 Hastings St Not For Sale - 3 2 1,506
529 Gratiot Ave Not For Sale - 4 3 2,490



TEGRA_table_txt_file: table_4929.txt
TEGRA_TABLE_TEXT: 430 N State St For Sale $96,000 5 2 2,339
117 E Downie St Not For Sale - 2 2 623
111 E Downie St Not For Sale - 4 2 2,111
418 Woodworth Ave For Sale $99,000 2 2 1,600
524 N State St Not For Sale - 5 2 2,141
503 N State St Not For Sale - 6 3 6,552
208 Hastings St Not For Sale - 3 1 1,761
609 Woodworth Ave Not For Sale - 3 2 1,800
120 Hastings St Not For Sale - 3 2 1,506
529 Gratiot Ave Not For Sale - 4 3 2,490
label: 430 N State St||For Sale||$96,000||5||2||2,339
117 E Downie St||Not For Sale||-||2||2||623
111 E Downie St||Not For Sale||-||4||2||2,111
418 Woodworth Ave||For Sale||$99,000||2||2||1,600
524 N State St||Not For Sale||-||5||2||2,141
503 N State St||Not For Sale||-||6||3||6,552
208 Hastings St||Not For Sale||-||3||1||1,761
609 Woodworth Ave||Not For Sale||-||3||2||1,800
120 Hastings St||Not For Sale||-||3||2||1,506
529 Gratiot Ave||Not For Sale||-||4||3||2,490
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 Mitsubishi 5,378 93.3% 89.4% 15.1%
3 Nissan 3,724 116.8% 58.5% 10.4%
4 Ford 3,416 100.0% 102.9% 9.6%
5 Mazda 2,098 117.5% 90.9% 5.9%
6 Hyundai 1,476 81.4% 86.8% 4.1%



TEGRA_table_txt_file: table_9917.txt
TEGRA_TABLE_TEXT: 2 Mitsubishi 5,378 93.3% 89.4% 15.1%
3 Nissan 3,724 116.8% 58.5% 10.4%
4 Ford 3,416 100.0% 102.9% 9.6%
5 Mazda 2,098 117.5% 90.9% 5.9%
6 Hyundai 1,476 81.4% 86.8% 4.1%
label: 2||Mitsubishi||5,378||93.3%||89.4%||15.1%
3||Nissan||3,724||116.8%||58.5%||10.4%
4||Ford||3,416||100.0%||102.9%||9.6%
5||Mazda||2,098||117.5%||90.9%||5.9%
6||Hyundai||1,476||81.4%||86.8%||4.1%
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:
Mo-Fr7-20 Uhr Mo-Fr20-7 Uhr Sa-So+ganztags
Frankreich 69 49
Frankreich (Mobilfunk) 98 78
Großbritannien 69 49
Großbritannien (Mobilfunk) 98 78
Italien 69 49
Italien (Mobilfunk) 98 78
Österreich 69 49
Österreich (Mobilfunk) 98 78
Schweiz 69 49
Schweiz (Mobilfunk) 98 78



TEGRA_table_txt_file: table_1603.txt
TEGRA_TABLE_TEXT: Mo-Fr7-20 Uhr Mo-Fr20-7 Uhr Sa-So+ganztags
Frankreich 69 49
Frankreich (Mobilfunk) 98 78
Großbritannien 69 49
Großbritannien (Mobilfunk) 98 78
Italien 69 49
Italien (Mobilfunk) 98 78
Österreich 69 49
Österreich (Mobilfunk) 98 78
Schweiz 69 49
Schweiz (Mobilfunk) 98 78
label: Mo-Fr7-20 Uhr||Mo-Fr20-7 Uhr||Sa-So+ganztags
Frankreich||69||49
Frankreich (Mobilfunk)||98||78
Großbritannien||69||49
Großbritannien (Mobilfunk)||98||78
Italien||69||49
Italien (Mobilfunk)||98||78
Österreich||69||49
Österreich (Mobilfunk)||98||78
Schweiz||69||49
Schweiz (Mobilfunk)||98||78
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:
57% Escape Plan Oct 18
43% The Fifth Estate Oct 18
96% 12 Years a Slave Oct 18
76% Kill Your Darlings Oct 16
95% All Is Lost Oct 18
&mdash;&mdash; Space Battleship Yamato Oct 19
64% Haunter Oct 18
17% Paradise Oct 18



TEGRA_table_txt_file: table_9003.txt
TEGRA_TABLE_TEXT: 57% Escape Plan Oct 18
43% The Fifth Estate Oct 18
96% 12 Years a Slave Oct 18
76% Kill Your Darlings Oct 16
95% All Is Lost Oct 18
&mdash;&mdash; Space Battleship Yamato Oct 19
64% Haunter Oct 18
17% Paradise Oct 18
label: 57%||Escape Plan||Oct 18
43%||The Fifth Estate||Oct 18
96%||12 Years a Slave||Oct 18
76%||Kill Your Darlings||Oct 16
95%||All Is Lost||Oct 18
&mdash;&mdash;||Space Battleship Yamato||Oct 19
64%||Haunter||Oct 18
17%||Paradise||Oct 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:
Nursing Info Session November 19, 2013 1pm - 2pm RAH 125
Nursing Info Session December 17, 2013 1pm - 2pm RAH 125
Nursing Info Session January 14, 2014 1pm - 2pm RAH 125
Nursing Info Session February 11, 2014 1pm - 2pm RAH 125
Nursing Info Session March 18, 2014 1pm - 2pm RAH 125
Nursing Info Session April 22, 2014 1pm - 2pm RAH 125
Nursing Info Session May 20, 2014 1pm - 2pm RAH 125
Nursing Info Session June 17, 2014 1pm - 2pm RAH 125
Nursing Info Session July 22, 2014 1pm - 2pm RAH 125
Nursing Info Session August 19, 2014 1pm - 2pm RAH 125



TEGRA_table_txt_file: table_1234.txt
TEGRA_TABLE_TEXT: Nursing Info Session November 19, 2013 1pm - 2pm RAH 125
Nursing Info Session December 17, 2013 1pm - 2pm RAH 125
Nursing Info Session January 14, 2014 1pm - 2pm RAH 125
Nursing Info Session February 11, 2014 1pm - 2pm RAH 125
Nursing Info Session March 18, 2014 1pm - 2pm RAH 125
Nursing Info Session April 22, 2014 1pm - 2pm RAH 125
Nursing Info Session May 20, 2014 1pm - 2pm RAH 125
Nursing Info Session June 17, 2014 1pm - 2pm RAH 125
Nursing Info Session July 22, 2014 1pm - 2pm RAH 125
Nursing Info Session August 19, 2014 1pm - 2pm RAH 125
label: Nursing Info Session||November 19, 2013||1pm - 2pm||RAH 125
Nursing Info Session||December 17, 2013||1pm - 2pm||RAH 125
Nursing Info Session||January 14, 2014||1pm - 2pm||RAH 125
Nursing Info Session||February 11, 2014||1pm - 2pm||RAH 125
Nursing Info Session||March 18, 2014||1pm - 2pm||RAH 125
Nursing Info Session||April 22, 2014||1pm - 2pm||RAH 125
Nursing Info Session||May 20, 2014||1pm - 2pm||RAH 125
Nursing Info Session||June 17, 2014||1pm - 2pm||RAH 125
Nursing Info Session||July 22, 2014||1pm - 2pm||RAH 125
Nursing Info Session||August 19, 2014||1pm - 2pm||RAH 125
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:
Funman Multiplex 140 Avion 2/3 axes Flash RC 170 RTF
Mentor Multiplex 163 Avion 3 axes Weymuller 118
Polyclub Guix Model 100 Avion 2-3 axes Guix Model 39.90
Ipanema 2 Topmodel 142 Avion 3 axes Topmodel 79.90
Apprentice 15 EFlite 147 Avion 3 axes Millenium 150
Alpha 450 EFlite 123 Avion 3 axes Flash RC 150
Elektro Trainer S Graupner 120 Avion 3 axes Millenium 139.00
Calmato Alpha 40 EP Kyosho 160 Avion 3 axes Weymuller 119
Classic EP Phoenix Model 142 Avion 3 axes Weymuller 99
Rainbow EP Phoenix Model 160 Avion 3 axes Weymuller 119
Avions EPP2 Voir nota 2 100 Avion 2-3 axes  35.90
Super Cub Hobbyzone 120 Avion 2 axes Millenium 180 RTF



TEGRA_table_txt_file: table_8600.txt
TEGRA_TABLE_TEXT: Funman Multiplex 140 Avion 2/3 axes Flash RC 170 RTF
Mentor Multiplex 163 Avion 3 axes Weymuller 118
Polyclub Guix Model 100 Avion 2-3 axes Guix Model 39.90
Ipanema 2 Topmodel 142 Avion 3 axes Topmodel 79.90
Apprentice 15 EFlite 147 Avion 3 axes Millenium 150
Alpha 450 EFlite 123 Avion 3 axes Flash RC 150
Elektro Trainer S Graupner 120 Avion 3 axes Millenium 139.00
Calmato Alpha 40 EP Kyosho 160 Avion 3 axes Weymuller 119
Classic EP Phoenix Model 142 Avion 3 axes Weymuller 99
Rainbow EP Phoenix Model 160 Avion 3 axes Weymuller 119
Avions EPP2 Voir nota 2 100 Avion 2-3 axes  35.90
Super Cub Hobbyzone 120 Avion 2 axes Millenium 180 RTF
label: Funman||Multiplex||140||Avion 2/3 axes||Flash RC||170 RTF
Mentor||Multiplex||163||Avion 3 axes||Weymuller||118
Polyclub||Guix Model||100||Avion 2-3 axes||Guix Model||39.90
Ipanema 2||Topmodel||142||Avion 3 axes||Topmodel||79.90
Apprentice 15||EFlite||147||Avion 3 axes||Millenium||150
Alpha 450||EFlite||123||Avion 3 axes||Flash RC||150
Elektro Trainer S||Graupner||120||Avion 3 axes||Millenium||139.00
Calmato Alpha 40 EP||Kyosho||160||Avion 3 axes||Weymuller||119
Classic EP||Phoenix Model||142||Avion 3 axes||Weymuller||99
Rainbow EP||Phoenix Model||160||Avion 3 axes||Weymuller||119
Avions EPP2||Voir nota 2||100||Avion 2-3 axes||||35.90
Super Cub||Hobbyzone||120||Avion 2 axes||Millenium||180 RTF
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
5 to 9 minutes 4.89% 9.05% 10.61%
10 to 14 minutes 6.21% 14.36% 14.49%
15 to 19 minutes 9.17% 17.43% 15.69%
20 to 24 minutes 16.48% 17.63% 15.05%
25 to 29 minutes 9.99% 7.35% 6.25%
30 to 34 minutes 22.98% 15.40% 14.83%
35 to 39 minutes 7.78% 2.83% 2.89%
40 to 44 minutes 6.02% 3.24% 3.69%
45 to 59 minutes 9.45% 5.64% 7.45%
60 to 89 minutes 2.24% 2.69% 4.00%
90 or more minutes 3.20% 1.97% 2.05%
Worked at home 3.75% 3.65% 3.67%



TEGRA_table_txt_file: table_9678.txt
TEGRA_TABLE_TEXT: 5 to 9 minutes 4.89% 9.05% 10.61%
10 to 14 minutes 6.21% 14.36% 14.49%
15 to 19 minutes 9.17% 17.43% 15.69%
20 to 24 minutes 16.48% 17.63% 15.05%
25 to 29 minutes 9.99% 7.35% 6.25%
30 to 34 minutes 22.98% 15.40% 14.83%
35 to 39 minutes 7.78% 2.83% 2.89%
40 to 44 minutes 6.02% 3.24% 3.69%
45 to 59 minutes 9.45% 5.64% 7.45%
60 to 89 minutes 2.24% 2.69% 4.00%
90 or more minutes 3.20% 1.97% 2.05%
Worked at home 3.75% 3.65% 3.67%
label: 5 to 9 minutes||4.89%||9.05%||10.61%
10 to 14 minutes||6.21%||14.36%||14.49%
15 to 19 minutes||9.17%||17.43%||15.69%
20 to 24 minutes||16.48%||17.63%||15.05%
25 to 29 minutes||9.99%||7.35%||6.25%
30 to 34 minutes||22.98%||15.40%||14.83%
35 to 39 minutes||7.78%||2.83%||2.89%
40 to 44 minutes||6.02%||3.24%||3.69%
45 to 59 minutes||9.45%||5.64%||7.45%
60 to 89 minutes||2.24%||2.69%||4.00%
90 or more minutes||3.20%||1.97%||2.05%
Worked at home||3.75%||3.65%||3.67%
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:
Giovanna Anzio Cast 18x7.5 22.8 10.3
Giovanna Anzio Cast 22x9.5 37.0 16.8
Giovanna Barletta Cast 20x8.5 46.0 20.9
Giovanna Berlin Cast 20x10 42.0 19.1
Giovanna Boizano Cast 20x8.5 37.0 16.8
Giovanna Chiba Cast 18x7.5 24.5 11.1
Giovanna Kobe Cast 18x7.5 24.3 11.0
Giovanna Kuji Cast 18x7.5 26.3 11.9
Giovanna Kyoto Cast 18x7.5 25.0 11.3
Giovanna Mito Cast 18x7.5 22.6 10.3
Giovanna Nagano Cast 18x7.5 23.0 10.4
Giovanna Rio Cast 18x8.5 29.5 13.4



TEGRA_table_txt_file: table_477.txt
TEGRA_TABLE_TEXT: Giovanna Anzio Cast 18x7.5 22.8 10.3
Giovanna Anzio Cast 22x9.5 37.0 16.8
Giovanna Barletta Cast 20x8.5 46.0 20.9
Giovanna Berlin Cast 20x10 42.0 19.1
Giovanna Boizano Cast 20x8.5 37.0 16.8
Giovanna Chiba Cast 18x7.5 24.5 11.1
Giovanna Kobe Cast 18x7.5 24.3 11.0
Giovanna Kuji Cast 18x7.5 26.3 11.9
Giovanna Kyoto Cast 18x7.5 25.0 11.3
Giovanna Mito Cast 18x7.5 22.6 10.3
Giovanna Nagano Cast 18x7.5 23.0 10.4
Giovanna Rio Cast 18x8.5 29.5 13.4
label: Giovanna Anzio||Cast||18x7.5||22.8||10.3
Giovanna Anzio||Cast||22x9.5||37.0||16.8
Giovanna Barletta||Cast||20x8.5||46.0||20.9
Giovanna Berlin||Cast||20x10||42.0||19.1
Giovanna Boizano||Cast||20x8.5||37.0||16.8
Giovanna Chiba||Cast||18x7.5||24.5||11.1
Giovanna Kobe||Cast||18x7.5||24.3||11.0
Giovanna Kuji||Cast||18x7.5||26.3||11.9
Giovanna Kyoto||Cast||18x7.5||25.0||11.3
Giovanna Mito||Cast||18x7.5||22.6||10.3
Giovanna Nagano||Cast||18x7.5||23.0||10.4
Giovanna Rio||Cast||18x8.5||29.5||13.4
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
9-10 180 0,063
11-12 112 0,065
13-14 112 0,065
15-16 20 0,065
17-18 20 0,065
19-20(21) 5(6,3) 1,6



TEGRA_table_txt_file: table_8478.txt
TEGRA_TABLE_TEXT: 9-10 180 0,063
11-12 112 0,065
13-14 112 0,065
15-16 20 0,065
17-18 20 0,065
19-20(21) 5(6,3) 1,6
label: 9-10||180||0,063
11-12||112||0,065
13-14||112||0,065
15-16||20||0,065
17-18||20||0,065
19-20(21)||5(6,3)||1,6