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:
Canada 2 Oro 75,000+
Finlandia 2 Oro 16,000+
Lista de álbumes francesa 1 Platino 235,000+
Lista de álbumes alemana 1 2x Platino 500,000+
Italia 2 Platino 165,000+
Lista de álbumes holandesa 15 No certificado 25,000+
Lista de álbumes española 1 Platino 125,000+
Listad e álbumes sueca 1 2x Platino 60,000+
Lista de álbumes suiza 2 2x Platino 40,000+
UK Albums Chart 9 Plata 90,000+
US Billboard 200 8 Oro 600,000+
Ventas en Europa 1 Platino 1,400,000+



TEGRA_table_txt_file: table_579.txt
TEGRA_TABLE_TEXT: Canada 2 Oro 75,000+
Finlandia 2 Oro 16,000+
Lista de álbumes francesa 1 Platino 235,000+
Lista de álbumes alemana 1 2x Platino 500,000+
Italia 2 Platino 165,000+
Lista de álbumes holandesa 15 No certificado 25,000+
Lista de álbumes española 1 Platino 125,000+
Listad e álbumes sueca 1 2x Platino 60,000+
Lista de álbumes suiza 2 2x Platino 40,000+
UK Albums Chart 9 Plata 90,000+
US Billboard 200 8 Oro 600,000+
Ventas en Europa 1 Platino 1,400,000+
label: Canada||2||Oro||75,000+
Finlandia||2||Oro||16,000+
Lista de álbumes francesa||1||Platino||235,000+
Lista de álbumes alemana||1||2x Platino||500,000+
Italia||2||Platino||165,000+
Lista de álbumes holandesa||15||No certificado||25,000+
Lista de álbumes española||1||Platino||125,000+
Listad e álbumes sueca||1||2x Platino||60,000+
Lista de álbumes suiza||2||2x Platino||40,000+
UK Albums Chart||9||Plata||90,000+
US Billboard 200||8||Oro||600,000+
Ventas en Europa||1||Platino||1,400,000+
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:
HBCChem Inc. -- -- sales@hbcchem-inc.com USA 4338 30
3B Scientific Corporation -- -- sales@3bsc.com USA 6075 56
Waterstone Technology, LLC -- -- sales@waterstonetech.com USA 6745 30
Leancare Ltd. -- -- enquiry@leancare.co.uk UNITED KINGDOM 6917 42
CARBONE SCIENTIFIC CO.,LTD -- -- sales@carbonesci.com UNITED KINGDOM 6922 30
Shenzhen Sailing Chemical.Co.,Ltd -- -- yukin@chemsailing.com CHINA 1787 43
UK GREEN SCIENTIFIC CO.,LIMITED -- -- sales@gs-chem.com UNITED KINGDOM 6303 47
2A PharmaChem USA -- -- sales@2apharmachem.com USA 6459 39



TEGRA_table_txt_file: table_4210.txt
TEGRA_TABLE_TEXT: HBCChem Inc. -- -- sales@hbcchem-inc.com USA 4338 30
3B Scientific Corporation -- -- sales@3bsc.com USA 6075 56
Waterstone Technology, LLC -- -- sales@waterstonetech.com USA 6745 30
Leancare Ltd. -- -- enquiry@leancare.co.uk UNITED KINGDOM 6917 42
CARBONE SCIENTIFIC CO.,LTD -- -- sales@carbonesci.com UNITED KINGDOM 6922 30
Shenzhen Sailing Chemical.Co.,Ltd -- -- yukin@chemsailing.com CHINA 1787 43
UK GREEN SCIENTIFIC CO.,LIMITED -- -- sales@gs-chem.com UNITED KINGDOM 6303 47
2A PharmaChem USA -- -- sales@2apharmachem.com USA 6459 39
label: HBCChem Inc.||--||--||sales@hbcchem-inc.com||USA||4338||30
3B Scientific Corporation||--||--||sales@3bsc.com||USA||6075||56
Waterstone Technology, LLC||--||--||sales@waterstonetech.com||USA||6745||30
Leancare Ltd.||--||--||enquiry@leancare.co.uk||UNITED KINGDOM||6917||42
CARBONE SCIENTIFIC CO.,LTD||--||--||sales@carbonesci.com||UNITED KINGDOM||6922||30
Shenzhen Sailing Chemical.Co.,Ltd||--||--||yukin@chemsailing.com||CHINA||1787||43
UK GREEN SCIENTIFIC CO.,LIMITED||--||--||sales@gs-chem.com||UNITED KINGDOM||6303||47
2A PharmaChem USA||--||--||sales@2apharmachem.com||USA||6459||39
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:
 Payments Due by Year      
 Total 2010 2011 2012 2013 2014 After 2014
 (in millions)      
Long-term debt $2,180.1  $332.0 $ 91.5 $242.0  $1,514.6
Interest on fixed-rate long-term debt 1,025.6 $129.6 114.6 104.0 97.9 97.7 481.8
Gas-purchase contracts 446.1 81.1 30.9 26.6 26.4 26.4 254.7
Drilling contracts 79.2 55.4 19.8 4.0   
Transportation contracts 482.4 20.9 41.4 46.4 45.0 44.3 284.4
Operating leases 26.5 7.7 7.7 5.9 3.0 1.0 1.2



TEGRA_table_txt_file: table_8359.txt
TEGRA_TABLE_TEXT:  Payments Due by Year      
 Total 2010 2011 2012 2013 2014 After 2014
 (in millions)      
Long-term debt $2,180.1  $332.0 $ 91.5 $242.0  $1,514.6
Interest on fixed-rate long-term debt 1,025.6 $129.6 114.6 104.0 97.9 97.7 481.8
Gas-purchase contracts 446.1 81.1 30.9 26.6 26.4 26.4 254.7
Drilling contracts 79.2 55.4 19.8 4.0   
Transportation contracts 482.4 20.9 41.4 46.4 45.0 44.3 284.4
Operating leases 26.5 7.7 7.7 5.9 3.0 1.0 1.2
label: ||Payments Due by Year||||||||||||
||Total||2010||2011||2012||2013||2014||After 2014
||(in millions)||||||||||||
Long-term debt||$2,180.1||||$332.0||$ 91.5||$242.0||||$1,514.6
Interest on fixed-rate long-term debt||1,025.6||$129.6||114.6||104.0||97.9||97.7||481.8
Gas-purchase contracts||446.1||81.1||30.9||26.6||26.4||26.4||254.7
Drilling contracts||79.2||55.4||19.8||4.0||||||
Transportation contracts||482.4||20.9||41.4||46.4||45.0||44.3||284.4
Operating leases||26.5||7.7||7.7||5.9||3.0||1.0||1.2
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
 alle 12000/19500 12000-13500/ 19600-22000 13600-16500/ 22100-25500 16600-19500/ 25600-29000 19600-22000/ 29100-33000 22100-25000/ 33100-38500
700-900 200 0 0 0 0 0
901-1200 300 200 0 0 0 0
1201-1500 500 300 200 0 0 0
1501-1800 700 500 300 200 0 0
1801-2100 900 700 500 300 200 0
2101-2400 1000 900 700 500 300 200
2401-2700 1200 1000 900 700 500 300
2701-3100 1400 1200 1000 900 700 500
3101-3500 1400 1400 1200 1200 900 700



TEGRA_table_txt_file: table_3632.txt
TEGRA_TABLE_TEXT:  alle 12000/19500 12000-13500/ 19600-22000 13600-16500/ 22100-25500 16600-19500/ 25600-29000 19600-22000/ 29100-33000 22100-25000/ 33100-38500
700-900 200 0 0 0 0 0
901-1200 300 200 0 0 0 0
1201-1500 500 300 200 0 0 0
1501-1800 700 500 300 200 0 0
1801-2100 900 700 500 300 200 0
2101-2400 1000 900 700 500 300 200
2401-2700 1200 1000 900 700 500 300
2701-3100 1400 1200 1000 900 700 500
3101-3500 1400 1400 1200 1200 900 700
label: ||alle 12000/19500||12000-13500/ 19600-22000||13600-16500/ 22100-25500||16600-19500/ 25600-29000||19600-22000/ 29100-33000||22100-25000/ 33100-38500
700-900||200||0||0||0||0||0
901-1200||300||200||0||0||0||0
1201-1500||500||300||200||0||0||0
1501-1800||700||500||300||200||0||0
1801-2100||900||700||500||300||200||0
2101-2400||1000||900||700||500||300||200
2401-2700||1200||1000||900||700||500||300
2701-3100||1400||1200||1000||900||700||500
3101-3500||1400||1400||1200||1200||900||700
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 Competition GS SB G A SH SG FC FS YC RC
West Ham United Int 1 0 0 0 0 0 0 0 0 0
Sunderland FAC 3 0 0 0 0 0 2 2 0 0
Sunderland Prem 31 0 0 0 4 1 16 19 5 0
Sunderland CC 2 0 0 0 0 0 0 2 0 0



TEGRA_table_txt_file: table_8142.txt
TEGRA_TABLE_TEXT: TEAM Competition GS SB G A SH SG FC FS YC RC
West Ham United Int 1 0 0 0 0 0 0 0 0 0
Sunderland FAC 3 0 0 0 0 0 2 2 0 0
Sunderland Prem 31 0 0 0 4 1 16 19 5 0
Sunderland CC 2 0 0 0 0 0 0 2 0 0
label: TEAM||Competition||GS||SB||G||A||SH||SG||FC||FS||YC||RC
West Ham United||Int||1||0||0||0||0||0||0||0||0||0
Sunderland||FAC||3||0||0||0||0||0||2||2||0||0
Sunderland||Prem||31||0||0||0||4||1||16||19||5||0
Sunderland||CC||2||0||0||0||0||0||0||2||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:
Race 1 12:45 PM Kranji Stakes D 1200 26663
Race 2 1:15 PM Restricted Maiden 1400 49517
Race 3 1:45 PM Class 4 1800 41899
Race 4 2:15 PM Class 5 1800 26663
Race 5 2:45 PM Open Open Benchmark 67 1600 41899
Race 6 3:20 PM Kranji Stakes D 1200 26663
Race 7 3:50 PM Class 5 1100 26663
Race 8 4:20 PM Class 3 1200 57135
Race 9 4:55 PM Saas Fee Stakes 1400 152362
Race 10 5:30 PM Kranji Stakes D 1200 26663
Race 11 6:00 PM Class 4 1400 41899



TEGRA_table_txt_file: table_2816.txt
TEGRA_TABLE_TEXT: Race 1 12:45 PM Kranji Stakes D 1200 26663
Race 2 1:15 PM Restricted Maiden 1400 49517
Race 3 1:45 PM Class 4 1800 41899
Race 4 2:15 PM Class 5 1800 26663
Race 5 2:45 PM Open Open Benchmark 67 1600 41899
Race 6 3:20 PM Kranji Stakes D 1200 26663
Race 7 3:50 PM Class 5 1100 26663
Race 8 4:20 PM Class 3 1200 57135
Race 9 4:55 PM Saas Fee Stakes 1400 152362
Race 10 5:30 PM Kranji Stakes D 1200 26663
Race 11 6:00 PM Class 4 1400 41899
label: Race 1||12:45 PM||Kranji Stakes D||1200||26663
Race 2||1:15 PM||Restricted Maiden||1400||49517
Race 3||1:45 PM||Class 4||1800||41899
Race 4||2:15 PM||Class 5||1800||26663
Race 5||2:45 PM||Open Open Benchmark 67||1600||41899
Race 6||3:20 PM||Kranji Stakes D||1200||26663
Race 7||3:50 PM||Class 5||1100||26663
Race 8||4:20 PM||Class 3||1200||57135
Race 9||4:55 PM||Saas Fee Stakes||1400||152362
Race 10||5:30 PM||Kranji Stakes D||1200||26663
Race 11||6:00 PM||Class 4||1400||41899
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:
Schiffstyp Passagierschiff
Heimathafen Glasgow
Reederei Uranium Steamship Company
Bauwerft Fairfield Shipbuilding & Engineering (Glasgow)
Baunummer 448
Stapellauf 5. September 1906



TEGRA_table_txt_file: table_1855.txt
TEGRA_TABLE_TEXT: Schiffstyp Passagierschiff
Heimathafen Glasgow
Reederei Uranium Steamship Company
Bauwerft Fairfield Shipbuilding & Engineering (Glasgow)
Baunummer 448
Stapellauf 5. September 1906
label: Schiffstyp||Passagierschiff
Heimathafen||Glasgow
Reederei||Uranium Steamship Company
Bauwerft||Fairfield Shipbuilding & Engineering (Glasgow)
Baunummer||448
Stapellauf||5. September 1906
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:
2430 Zoll 3,25 1,13 0,05 2,5
mm 83 29 13 64 
2431 Zoll 3,75 1,13 1,0 2,95
mm 95 29 25 75 
2432 Zoll 4,75 1,13 2,0 3,95
mm 121 29 51 100 
2433 Zoll 5,75 1,13 3,0 4,95
mm 146 29 78 126 
2434 Zoll 6,75 1,13 4,0 5,95
mm 172 29 102 151 
2435 Zoll 7,75 1,13 5,0 6,95
mm 197 29 127 176 
2436 Zoll 8,75 1,13 6,0 7,95
mm 222 29 152 202 
2437 Zoll 9,75 1,13 7,0 8,95
mm 248 29 178 227 
2439 Zoll 11,75 1,13 9,0 10,95
mm 299 29 229 278 
2441 Zoll 13,75 1,13 11,0 12,95



TEGRA_table_txt_file: table_9147.txt
TEGRA_TABLE_TEXT: 2430 Zoll 3,25 1,13 0,05 2,5
mm 83 29 13 64 
2431 Zoll 3,75 1,13 1,0 2,95
mm 95 29 25 75 
2432 Zoll 4,75 1,13 2,0 3,95
mm 121 29 51 100 
2433 Zoll 5,75 1,13 3,0 4,95
mm 146 29 78 126 
2434 Zoll 6,75 1,13 4,0 5,95
mm 172 29 102 151 
2435 Zoll 7,75 1,13 5,0 6,95
mm 197 29 127 176 
2436 Zoll 8,75 1,13 6,0 7,95
mm 222 29 152 202 
2437 Zoll 9,75 1,13 7,0 8,95
mm 248 29 178 227 
2439 Zoll 11,75 1,13 9,0 10,95
mm 299 29 229 278 
2441 Zoll 13,75 1,13 11,0 12,95
label: 2430||Zoll||3,25||1,13||0,05||2,5
mm||83||29||13||64||
2431||Zoll||3,75||1,13||1,0||2,95
mm||95||29||25||75||
2432||Zoll||4,75||1,13||2,0||3,95
mm||121||29||51||100||
2433||Zoll||5,75||1,13||3,0||4,95
mm||146||29||78||126||
2434||Zoll||6,75||1,13||4,0||5,95
mm||172||29||102||151||
2435||Zoll||7,75||1,13||5,0||6,95
mm||197||29||127||176||
2436||Zoll||8,75||1,13||6,0||7,95
mm||222||29||152||202||
2437||Zoll||9,75||1,13||7,0||8,95
mm||248||29||178||227||
2439||Zoll||11,75||1,13||9,0||10,95
mm||299||29||229||278||
2441||Zoll||13,75||1,13||11,0||12,95
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:
2° medio Lenguaje y comunicación Comunicación oral
1° medio Lenguaje y comunicación Comunicación oral
1° medio Lenguaje y comunicación Escritura
1° medio Lenguaje y comunicación Lectura
2° medio Lenguaje y comunicación Lectura
2° medio Lenguaje y comunicación Escritura
3° medio Lenguaje y comunicación Comunicación oral
3° medio Lenguaje y comunicación Lectura



TEGRA_table_txt_file: table_5821.txt
TEGRA_TABLE_TEXT: 2° medio Lenguaje y comunicación Comunicación oral
1° medio Lenguaje y comunicación Comunicación oral
1° medio Lenguaje y comunicación Escritura
1° medio Lenguaje y comunicación Lectura
2° medio Lenguaje y comunicación Lectura
2° medio Lenguaje y comunicación Escritura
3° medio Lenguaje y comunicación Comunicación oral
3° medio Lenguaje y comunicación Lectura
label: 2° medio||Lenguaje y comunicación||Comunicación oral
1° medio||Lenguaje y comunicación||Comunicación oral
1° medio||Lenguaje y comunicación||Escritura
1° medio||Lenguaje y comunicación||Lectura
2° medio||Lenguaje y comunicación||Lectura
2° medio||Lenguaje y comunicación||Escritura
3° medio||Lenguaje y comunicación||Comunicación oral
3° medio||Lenguaje y comunicación||Lectura
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:
Wilson D. Morelo La Equidad 9 6 1 0 2
Luis C. Ruíz Junior 9 6 2 0 1
Julián Lalinde Pasto 8 4 3 0 1
Sergio D. Herrera Once Caldas 6 4 1 0 1
Germán Cano Indep. Medellín 6 4 2 0 0
Silvio González Santa Fe 6 3 1 0 2
Wason L. Rentería Millonarios 5 3 1 0 1
Marco J. Pérez Indep. Medellín 5 3 0 2 0
Luis A. Páez Huila 5 3 1 0 1
Francisco Nájera At. Nacional 4 1 3 0 0
Lucas Scaglia Deportivo Cali 4 4 0 0 0
Yessy F. Mena Itagüí 4 4 0 0 0
Edwin Cardona Junior 4 1 1 1 1
Néstor A. Camacho Deportivo Cali 4 3 1 0 0
Yimmy Chara Tolima 4 2 2 0 0
Diego Álvarez Envigado 4 4 0 0 0
Miguel Á. Borja La Equidad 4 3 1 0 0
Michael Rangel Alianza Petrolera 4 3 1 0 0



TEGRA_table_txt_file: table_6273.txt
TEGRA_TABLE_TEXT: Wilson D. Morelo La Equidad 9 6 1 0 2
Luis C. Ruíz Junior 9 6 2 0 1
Julián Lalinde Pasto 8 4 3 0 1
Sergio D. Herrera Once Caldas 6 4 1 0 1
Germán Cano Indep. Medellín 6 4 2 0 0
Silvio González Santa Fe 6 3 1 0 2
Wason L. Rentería Millonarios 5 3 1 0 1
Marco J. Pérez Indep. Medellín 5 3 0 2 0
Luis A. Páez Huila 5 3 1 0 1
Francisco Nájera At. Nacional 4 1 3 0 0
Lucas Scaglia Deportivo Cali 4 4 0 0 0
Yessy F. Mena Itagüí 4 4 0 0 0
Edwin Cardona Junior 4 1 1 1 1
Néstor A. Camacho Deportivo Cali 4 3 1 0 0
Yimmy Chara Tolima 4 2 2 0 0
Diego Álvarez Envigado 4 4 0 0 0
Miguel Á. Borja La Equidad 4 3 1 0 0
Michael Rangel Alianza Petrolera 4 3 1 0 0
label: Wilson D. Morelo||La Equidad||9||6||1||0||2
Luis C. Ruíz||Junior||9||6||2||0||1
Julián Lalinde||Pasto||8||4||3||0||1
Sergio D. Herrera||Once Caldas||6||4||1||0||1
Germán Cano||Indep. Medellín||6||4||2||0||0
Silvio González||Santa Fe||6||3||1||0||2
Wason L. Rentería||Millonarios||5||3||1||0||1
Marco J. Pérez||Indep. Medellín||5||3||0||2||0
Luis A. Páez||Huila||5||3||1||0||1
Francisco Nájera||At. Nacional||4||1||3||0||0
Lucas Scaglia||Deportivo Cali||4||4||0||0||0
Yessy F. Mena||Itagüí||4||4||0||0||0
Edwin Cardona||Junior||4||1||1||1||1
Néstor A. Camacho||Deportivo Cali||4||3||1||0||0
Yimmy Chara||Tolima||4||2||2||0||0
Diego Álvarez||Envigado||4||4||0||0||0
Miguel Á. Borja||La Equidad||4||3||1||0||0
Michael Rangel||Alianza Petrolera||4||3||1||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:
Testemunha 2,17 b 0.94 b 20,4 a 281 a 9.390 b
1x DOSE 2,36 a 1,10 a 20,5 a 294 a 10.164 a
2x DOSE 2,28 a 1,05 a 20,7 a 293 a 9.944 a
3x DOSE 2,28 a 1,03 a 21,0 a 287 a 9.448 b
MÉDIA 2,27 1,03 20,7 289 9.737



TEGRA_table_txt_file: table_447.txt
TEGRA_TABLE_TEXT: Testemunha 2,17 b 0.94 b 20,4 a 281 a 9.390 b
1x DOSE 2,36 a 1,10 a 20,5 a 294 a 10.164 a
2x DOSE 2,28 a 1,05 a 20,7 a 293 a 9.944 a
3x DOSE 2,28 a 1,03 a 21,0 a 287 a 9.448 b
MÉDIA 2,27 1,03 20,7 289 9.737
label: Testemunha||2,17 b||0.94 b||20,4 a||281 a||9.390 b
1x DOSE||2,36 a||1,10 a||20,5 a||294 a||10.164 a
2x DOSE||2,28 a||1,05 a||20,7 a||293 a||9.944 a
3x DOSE||2,28 a||1,03 a||21,0 a||287 a||9.448 b
MÉDIA||2,27||1,03||20,7||289||9.737
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:
ToonInfo V0.73 Release 2.3 795 06/30/2013
ToonInfo V0.72 Release 2.3 329 06/22/2013
ToonInfo V0.71 Release 2.2.4 283 06/15/2013
ToonInfo V0.50 Release 2.0 501 03/07/2013
ToonInfo V0.41 Release 1.9 593 08/17/2012
ToonInfo V0.4 Release 1.9 125 08/14/2012
ToonInfo V0.34 Release 1.8 335 06/07/2012
ToonInfo V0.33 Release 1.8 139 06/02/2012
ToonInfo V0.32 Release 1.8 184 05/08/2012
ToonInfo V0.31 Release 1.8 61 05/06/2012
ToonInfo V0.3 Release 1.8 40 05/05/2012
ToonInfo V0.2beta2 Beta 1.8 20 04/25/2012
ToonInfo V0.2beta Beta 1.7 9 04/21/2012



TEGRA_table_txt_file: table_91.txt
TEGRA_TABLE_TEXT: ToonInfo V0.73 Release 2.3 795 06/30/2013
ToonInfo V0.72 Release 2.3 329 06/22/2013
ToonInfo V0.71 Release 2.2.4 283 06/15/2013
ToonInfo V0.50 Release 2.0 501 03/07/2013
ToonInfo V0.41 Release 1.9 593 08/17/2012
ToonInfo V0.4 Release 1.9 125 08/14/2012
ToonInfo V0.34 Release 1.8 335 06/07/2012
ToonInfo V0.33 Release 1.8 139 06/02/2012
ToonInfo V0.32 Release 1.8 184 05/08/2012
ToonInfo V0.31 Release 1.8 61 05/06/2012
ToonInfo V0.3 Release 1.8 40 05/05/2012
ToonInfo V0.2beta2 Beta 1.8 20 04/25/2012
ToonInfo V0.2beta Beta 1.7 9 04/21/2012
label: ToonInfo V0.73||Release||2.3||795||06/30/2013
ToonInfo V0.72||Release||2.3||329||06/22/2013
ToonInfo V0.71||Release||2.2.4||283||06/15/2013
ToonInfo V0.50||Release||2.0||501||03/07/2013
ToonInfo V0.41||Release||1.9||593||08/17/2012
ToonInfo V0.4||Release||1.9||125||08/14/2012
ToonInfo V0.34||Release||1.8||335||06/07/2012
ToonInfo V0.33||Release||1.8||139||06/02/2012
ToonInfo V0.32||Release||1.8||184||05/08/2012
ToonInfo V0.31||Release||1.8||61||05/06/2012
ToonInfo V0.3||Release||1.8||40||05/05/2012
ToonInfo V0.2beta2||Beta||1.8||20||04/25/2012
ToonInfo V0.2beta||Beta||1.7||9||04/21/2012
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:
B Headtube Length (mm) 105 110 115 135 150 170 190
C Effective TT (mm) 520 525 537 543 555 570 582
D Seat Angle (&deg;) 74.8 74.3 74 74 73.5 73.5 73.5
E Centre to Top (mm) 480 500 520 540 560 580 600
F Chainstay(mm) 410 410 405 405 405 405 405
I Stack (mm) 507 512 519 539 557 576 595



TEGRA_table_txt_file: table_7992.txt
TEGRA_TABLE_TEXT: B Headtube Length (mm) 105 110 115 135 150 170 190
C Effective TT (mm) 520 525 537 543 555 570 582
D Seat Angle (&deg;) 74.8 74.3 74 74 73.5 73.5 73.5
E Centre to Top (mm) 480 500 520 540 560 580 600
F Chainstay(mm) 410 410 405 405 405 405 405
I Stack (mm) 507 512 519 539 557 576 595
label: B||Headtube Length (mm)||105||110||115||135||150||170||190
C||Effective TT (mm)||520||525||537||543||555||570||582
D||Seat Angle (&deg;)||74.8||74.3||74||74||73.5||73.5||73.5
E||Centre to Top (mm)||480||500||520||540||560||580||600
F||Chainstay(mm)||410||410||405||405||405||405||405
I||Stack (mm)||507||512||519||539||557||576||595
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:
4 + 1 1 $41,371 $41,371
4 + 0 149 $94 $14,006
3 + 1 206 $106 $21,836
3 + 0 7,109 $7 $49,763
2 + 1 3,551 $7 $24,857
1 + 1 22,757 $4 $91,028
0 + 1 45,870 $4 $183,480



TEGRA_table_txt_file: table_3703.txt
TEGRA_TABLE_TEXT: 4 + 1 1 $41,371 $41,371
4 + 0 149 $94 $14,006
3 + 1 206 $106 $21,836
3 + 0 7,109 $7 $49,763
2 + 1 3,551 $7 $24,857
1 + 1 22,757 $4 $91,028
0 + 1 45,870 $4 $183,480
label: 4 + 1||1||$41,371||$41,371
4 + 0||149||$94||$14,006
3 + 1||206||$106||$21,836
3 + 0||7,109||$7||$49,763
2 + 1||3,551||$7||$24,857
1 + 1||22,757||$4||$91,028
0 + 1||45,870||$4||$183,480
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 Petcharawut Academy 3 2 1 0 8 4 7
3 Bangkok Soccer Schools 2 2 0 0 24 0 6
4 Anusorn FC 4 2 0 2 17 15 6
5 Inter Thailand 4 2 0 2 9 10 6
6 PSW Football Academy 2 1 1 0 6 5 4
7 K.P.C. ACADEMY 4 1 0 3 8 13 3
8 R-Ma 2 0 0 2 0 7 0



TEGRA_table_txt_file: table_8146.txt
TEGRA_TABLE_TEXT: 2 Petcharawut Academy 3 2 1 0 8 4 7
3 Bangkok Soccer Schools 2 2 0 0 24 0 6
4 Anusorn FC 4 2 0 2 17 15 6
5 Inter Thailand 4 2 0 2 9 10 6
6 PSW Football Academy 2 1 1 0 6 5 4
7 K.P.C. ACADEMY 4 1 0 3 8 13 3
8 R-Ma 2 0 0 2 0 7 0
label: 2||Petcharawut Academy||3||2||1||0||8||4||7
3||Bangkok Soccer Schools||2||2||0||0||24||0||6
4||Anusorn FC||4||2||0||2||17||15||6
5||Inter Thailand||4||2||0||2||9||10||6
6||PSW Football Academy||2||1||1||0||6||5||4
7||K.P.C. ACADEMY||4||1||0||3||8||13||3
8||R-Ma||2||0||0||2||0||7||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:
16.09.2013 20:45 Parma 1 : 3 AS Roma
15.09.2013 15:00 Udinese 1 : 1 Bologna
15.09.2013 15:00 Livorno 2 : 0 Catania
15.09.2013 15:00 Lazio Rzym 3 : 0 Chievo Werona
15.09.2013 15:00 Hellas Werona 2 : 0 Sassuolo
15.09.2013 15:00 Fiorentina 1 : 1 Cagliari
15.09.2013 15:00 Sampdoria 0 : 3 Genoa
14.09.2013 20:45 Torino 2 : 2 AC Milan
14.09.2013 20:45 Napoli 2 : 0 Atalanta



TEGRA_table_txt_file: table_6468.txt
TEGRA_TABLE_TEXT: 16.09.2013 20:45 Parma 1 : 3 AS Roma
15.09.2013 15:00 Udinese 1 : 1 Bologna
15.09.2013 15:00 Livorno 2 : 0 Catania
15.09.2013 15:00 Lazio Rzym 3 : 0 Chievo Werona
15.09.2013 15:00 Hellas Werona 2 : 0 Sassuolo
15.09.2013 15:00 Fiorentina 1 : 1 Cagliari
15.09.2013 15:00 Sampdoria 0 : 3 Genoa
14.09.2013 20:45 Torino 2 : 2 AC Milan
14.09.2013 20:45 Napoli 2 : 0 Atalanta
label: 16.09.2013||20:45||Parma||1 : 3||AS Roma
15.09.2013||15:00||Udinese||1 : 1||Bologna
15.09.2013||15:00||Livorno||2 : 0||Catania
15.09.2013||15:00||Lazio Rzym||3 : 0||Chievo Werona
15.09.2013||15:00||Hellas Werona||2 : 0||Sassuolo
15.09.2013||15:00||Fiorentina||1 : 1||Cagliari
15.09.2013||15:00||Sampdoria||0 : 3||Genoa
14.09.2013||20:45||Torino||2 : 2||AC Milan
14.09.2013||20:45||Napoli||2 : 0||Atalanta
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:
USA European Fit European UK USA Fit Japan
7 40 40 6 1/2 25
7 1/2 41 41 7 25 1/2
8 41.5 41.5 7 1/2 26
8 1/2 42 42 8 26 1/2
9 43 43 8 1/2 27
9 1/2 43.5 43.5 9 27 1/2
10 44 44 9 1/2 28
10 1/2 n/a 44.5 10 28 1/2
11 45 45 10 1/2 29
11 1/2 46 46 11 29 1/2
12 n/a 46.5 11 1/2 30
12 1/2 47 47 12 n/a
13 48 48 12 1/2 31
14 49 49 13 32



TEGRA_table_txt_file: table_1949.txt
TEGRA_TABLE_TEXT: USA European Fit European UK USA Fit Japan
7 40 40 6 1/2 25
7 1/2 41 41 7 25 1/2
8 41.5 41.5 7 1/2 26
8 1/2 42 42 8 26 1/2
9 43 43 8 1/2 27
9 1/2 43.5 43.5 9 27 1/2
10 44 44 9 1/2 28
10 1/2 n/a 44.5 10 28 1/2
11 45 45 10 1/2 29
11 1/2 46 46 11 29 1/2
12 n/a 46.5 11 1/2 30
12 1/2 47 47 12 n/a
13 48 48 12 1/2 31
14 49 49 13 32
label: USA||European Fit||European||UK USA Fit||Japan
7||40||40||6 1/2||25
7 1/2||41||41||7||25 1/2
8||41.5||41.5||7 1/2||26
8 1/2||42||42||8||26 1/2
9||43||43||8 1/2||27
9 1/2||43.5||43.5||9||27 1/2
10||44||44||9 1/2||28
10 1/2||n/a||44.5||10||28 1/2
11||45||45||10 1/2||29
11 1/2||46||46||11||29 1/2
12||n/a||46.5||11 1/2||30
12 1/2||47||47||12||n/a
13||48||48||12 1/2||31
14||49||49||13||32
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
22.09.2013 17:00 Cardiff City 0 : 1 Tottenham
22.09.2013 17:00 Manchester City 4 : 1 Manchester United
22.09.2013 14:30 Arsenal Londyn 3 : 1 Stoke
22.09.2013 14:30 Crystal Palace 0 : 2 Swansea City
21.09.2013 18:30 Chelsea 2 : 0 Fulham
21.09.2013 16:00 Newcastle United 2 : 3 Hull City
21.09.2013 16:00 West Bromwich Albion 3 : 0 Sunderland
21.09.2013 16:00 West Ham United 2 : 3 Everton
21.09.2013 16:00 Liverpool 0 : 1 Southampton



TEGRA_table_txt_file: table_9312.txt
TEGRA_TABLE_TEXT: 22.09.2013 17:00 Cardiff City 0 : 1 Tottenham
22.09.2013 17:00 Manchester City 4 : 1 Manchester United
22.09.2013 14:30 Arsenal Londyn 3 : 1 Stoke
22.09.2013 14:30 Crystal Palace 0 : 2 Swansea City
21.09.2013 18:30 Chelsea 2 : 0 Fulham
21.09.2013 16:00 Newcastle United 2 : 3 Hull City
21.09.2013 16:00 West Bromwich Albion 3 : 0 Sunderland
21.09.2013 16:00 West Ham United 2 : 3 Everton
21.09.2013 16:00 Liverpool 0 : 1 Southampton
label: 22.09.2013||17:00||Cardiff City||0 : 1||Tottenham
22.09.2013||17:00||Manchester City||4 : 1||Manchester United
22.09.2013||14:30||Arsenal Londyn||3 : 1||Stoke
22.09.2013||14:30||Crystal Palace||0 : 2||Swansea City
21.09.2013||18:30||Chelsea||2 : 0||Fulham
21.09.2013||16:00||Newcastle United||2 : 3||Hull City
21.09.2013||16:00||West Bromwich Albion||3 : 0||Sunderland
21.09.2013||16:00||West Ham United||2 : 3||Everton
21.09.2013||16:00||Liverpool||0 : 1||Southampton
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 Avril Lavigne 12.7%
3 Sandra Bullock 10.8%
4 Kathy Griffin 10.6%
5 Zoe Saldana 10.5%
6 Katy Perry 10.4%
7 Britney Spears 10.1%
8 Jon Hamm 10.0%
9 Adriana Lima 9.9%



TEGRA_table_txt_file: table_3476.txt
TEGRA_TABLE_TEXT: 2 Avril Lavigne 12.7%
3 Sandra Bullock 10.8%
4 Kathy Griffin 10.6%
5 Zoe Saldana 10.5%
6 Katy Perry 10.4%
7 Britney Spears 10.1%
8 Jon Hamm 10.0%
9 Adriana Lima 9.9%
label: 2||Avril Lavigne||12.7%
3||Sandra Bullock||10.8%
4||Kathy Griffin||10.6%
5||Zoe Saldana||10.5%
6||Katy Perry||10.4%
7||Britney Spears||10.1%
8||Jon Hamm||10.0%
9||Adriana Lima||9.9%
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:
20.10.2013 17:30 FC Augsburg 1 : 2 VfL Wolfsburg
20.10.2013 15:30 HSV Hamburg 3 : 3 VfB Stuttgart
19.10.2013 18:30 Hertha Berlin 1 : 0 Borussia M'gladbach
19.10.2013 15:30 Eintracht Braunschweig 2 : 3 Schalke
19.10.2013 15:30 Bayern Monachium 4 : 1 FSV Mainz
19.10.2013 15:30 Borussia Dortmund 1 : 0 Hannover
19.10.2013 15:30 Eintracht Frankfurt 1 : 1 FC Norymberga
19.10.2013 15:30 Werder Brema 0 : 0 SC Freiburg



TEGRA_table_txt_file: table_9269.txt
TEGRA_TABLE_TEXT: 20.10.2013 17:30 FC Augsburg 1 : 2 VfL Wolfsburg
20.10.2013 15:30 HSV Hamburg 3 : 3 VfB Stuttgart
19.10.2013 18:30 Hertha Berlin 1 : 0 Borussia M'gladbach
19.10.2013 15:30 Eintracht Braunschweig 2 : 3 Schalke
19.10.2013 15:30 Bayern Monachium 4 : 1 FSV Mainz
19.10.2013 15:30 Borussia Dortmund 1 : 0 Hannover
19.10.2013 15:30 Eintracht Frankfurt 1 : 1 FC Norymberga
19.10.2013 15:30 Werder Brema 0 : 0 SC Freiburg
label: 20.10.2013||17:30||FC Augsburg||1 : 2||VfL Wolfsburg
20.10.2013||15:30||HSV Hamburg||3 : 3||VfB Stuttgart
19.10.2013||18:30||Hertha Berlin||1 : 0||Borussia M'gladbach
19.10.2013||15:30||Eintracht Braunschweig||2 : 3||Schalke
19.10.2013||15:30||Bayern Monachium||4 : 1||FSV Mainz
19.10.2013||15:30||Borussia Dortmund||1 : 0||Hannover
19.10.2013||15:30||Eintracht Frankfurt||1 : 1||FC Norymberga
19.10.2013||15:30||Werder Brema||0 : 0||SC Freiburg
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:
Gamedate Opp Result GS Tkl Ast Tot Sacks Int Yds Lg TD Pass Def FF Rec Yds TD
11/08 MIA W 27-17 Yes 3.0 1 4 0 0 0 0 0 0 0 0 0 0
11/15 @IND L 34-35 No Did Not Play            
11/22 NYJ W 31-14 Yes 3.0 3 6 0 0 0 0 0 0 0 0 0 0
11/30 @NO L 17-38 Yes 2.0 0 2 0 0 0 0 0 0 0 0 0 0



TEGRA_table_txt_file: table_4406.txt
TEGRA_TABLE_TEXT: Gamedate Opp Result GS Tkl Ast Tot Sacks Int Yds Lg TD Pass Def FF Rec Yds TD
11/08 MIA W 27-17 Yes 3.0 1 4 0 0 0 0 0 0 0 0 0 0
11/15 @IND L 34-35 No Did Not Play            
11/22 NYJ W 31-14 Yes 3.0 3 6 0 0 0 0 0 0 0 0 0 0
11/30 @NO L 17-38 Yes 2.0 0 2 0 0 0 0 0 0 0 0 0 0
label: Gamedate||Opp||Result||GS||Tkl||Ast||Tot||Sacks||Int||Yds||Lg||TD||Pass Def||FF||Rec||Yds||TD
11/08||MIA||W 27-17||Yes||3.0||1||4||0||0||0||0||0||0||0||0||0||0
11/15||@IND||L 34-35||No||Did Not Play||||||||||||||||||||||||
11/22||NYJ||W 31-14||Yes||3.0||3||6||0||0||0||0||0||0||0||0||0||0
11/30||@NO||L 17-38||Yes||2.0||0||2||0||0||0||0||0||0||0||0||0||0
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
Acerola Berry Huice Powder 4 mg N/A
Aloevera Gel Concentrate 40 mg N/A
Astragalus Root 0.74 mg N/A
Barley Grass 0.74 mg N/A
Barley Malt Berry Sprouts 0.74 mg N/A
Bilberry Fruit 4 mg N/A
Brown Rice 8 mg N/A
Chicory Root 4 mg N/A
Chlorella Green Algae 0.74 mg N/A
Cranberry Dried Juice 0.74 mg N/A
Elderberry Fruit 0.74 mg N/A
Eleuthero Root 8 mg N/A
Kombu 0.74 mg N/A
Lemon Fruit 40 mg N/A
Licorie 6 mg N/A
Mung Beans 0.74 mg N/A
Nori 0.74 mg N/A
Oat Fibre 0.74 mg N/A
Soy Sprouts 4 mg N/A
Wakame 0.74 mg N/A



TEGRA_table_txt_file: table_8040.txt
TEGRA_TABLE_TEXT: Acerola Berry Huice Powder 4 mg N/A
Aloevera Gel Concentrate 40 mg N/A
Astragalus Root 0.74 mg N/A
Barley Grass 0.74 mg N/A
Barley Malt Berry Sprouts 0.74 mg N/A
Bilberry Fruit 4 mg N/A
Brown Rice 8 mg N/A
Chicory Root 4 mg N/A
Chlorella Green Algae 0.74 mg N/A
Cranberry Dried Juice 0.74 mg N/A
Elderberry Fruit 0.74 mg N/A
Eleuthero Root 8 mg N/A
Kombu 0.74 mg N/A
Lemon Fruit 40 mg N/A
Licorie 6 mg N/A
Mung Beans 0.74 mg N/A
Nori 0.74 mg N/A
Oat Fibre 0.74 mg N/A
Soy Sprouts 4 mg N/A
Wakame 0.74 mg N/A
label: Acerola Berry Huice Powder||4 mg||N/A
Aloevera Gel Concentrate||40 mg||N/A
Astragalus Root||0.74 mg||N/A
Barley Grass||0.74 mg||N/A
Barley Malt Berry Sprouts||0.74 mg||N/A
Bilberry Fruit||4 mg||N/A
Brown Rice||8 mg||N/A
Chicory Root||4 mg||N/A
Chlorella Green Algae||0.74 mg||N/A
Cranberry Dried Juice||0.74 mg||N/A
Elderberry Fruit||0.74 mg||N/A
Eleuthero Root||8 mg||N/A
Kombu||0.74 mg||N/A
Lemon Fruit||40 mg||N/A
Licorie||6 mg||N/A
Mung Beans||0.74 mg||N/A
Nori||0.74 mg||N/A
Oat Fibre||0.74 mg||N/A
Soy Sprouts||4 mg||N/A
Wakame||0.74 mg||N/A
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
Sat., April 6 1 p.m. Georgia CSS/ESPN3
Sat., April 13 1 p.m. South Carolina ESPN3
Sat., April 13 2 p.m. Ole Miss CSS/ESPN3
Sat., April 13 2 p.m. Vanderbilt ESPN3 (Tape Delay)
Sat., April 13 3 p.m. Texas A&M ESPN
Sat., April 13 7 p.m. Kentucky 
Sat., April 20 2 p.m. Auburn CSS/ESPN3
Sat., April 20 2 p.m. Mississippi State ESPN3
Sat., April 20 2 p.m. Missouri Mizzou Network
Sat., April 20 2 p.m. Tennessee UTSports.com/allaccess
Sat., April 20 3 p.m. Alabama ESPN2
Sat., April 20 3 p.m. Arkansas ESPN3



TEGRA_table_txt_file: table_7784.txt
TEGRA_TABLE_TEXT: Sat., April 6 1 p.m. Georgia CSS/ESPN3
Sat., April 13 1 p.m. South Carolina ESPN3
Sat., April 13 2 p.m. Ole Miss CSS/ESPN3
Sat., April 13 2 p.m. Vanderbilt ESPN3 (Tape Delay)
Sat., April 13 3 p.m. Texas A&M ESPN
Sat., April 13 7 p.m. Kentucky 
Sat., April 20 2 p.m. Auburn CSS/ESPN3
Sat., April 20 2 p.m. Mississippi State ESPN3
Sat., April 20 2 p.m. Missouri Mizzou Network
Sat., April 20 2 p.m. Tennessee UTSports.com/allaccess
Sat., April 20 3 p.m. Alabama ESPN2
Sat., April 20 3 p.m. Arkansas ESPN3
label: Sat., April 6||1 p.m.||Georgia||CSS/ESPN3
Sat., April 13||1 p.m.||South Carolina||ESPN3
Sat., April 13||2 p.m.||Ole Miss||CSS/ESPN3
Sat., April 13||2 p.m.||Vanderbilt||ESPN3 (Tape Delay)
Sat., April 13||3 p.m.||Texas A&M||ESPN
Sat., April 13||7 p.m.||Kentucky||
Sat., April 20||2 p.m.||Auburn||CSS/ESPN3
Sat., April 20||2 p.m.||Mississippi State||ESPN3
Sat., April 20||2 p.m.||Missouri||Mizzou Network
Sat., April 20||2 p.m.||Tennessee||UTSports.com/allaccess
Sat., April 20||3 p.m.||Alabama||ESPN2
Sat., April 20||3 p.m.||Arkansas||ESPN3
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:
Eriksson Elementary School K - 5 PUBLIC
Crescent Academy International K - 8 PRIVATE
P.D. Graham Elementary School K - 5 PUBLIC
Adlai Stevenson Middle School 5 - 8 PUBLIC
St Michael Lutheran School K - 8 PRIVATE
Walker-Winter Elementary School K - 5 PUBLIC
Bentley Elementary School K - 5 PUBLIC
Hoben Elementary School K - 5 PUBLIC



TEGRA_table_txt_file: table_3602.txt
TEGRA_TABLE_TEXT: Eriksson Elementary School K - 5 PUBLIC
Crescent Academy International K - 8 PRIVATE
P.D. Graham Elementary School K - 5 PUBLIC
Adlai Stevenson Middle School 5 - 8 PUBLIC
St Michael Lutheran School K - 8 PRIVATE
Walker-Winter Elementary School K - 5 PUBLIC
Bentley Elementary School K - 5 PUBLIC
Hoben Elementary School K - 5 PUBLIC
label: Eriksson Elementary School||K - 5||PUBLIC
Crescent Academy International||K - 8||PRIVATE
P.D. Graham Elementary School||K - 5||PUBLIC
Adlai Stevenson Middle School||5 - 8||PUBLIC
St Michael Lutheran School||K - 8||PRIVATE
Walker-Winter Elementary School||K - 5||PUBLIC
Bentley Elementary School||K - 5||PUBLIC
Hoben Elementary School||K - 5||PUBLIC