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:
Sweden 7 3.13 3.93 26050
Bangladesh 0.6 0.26 0.33 1700
U.A.E. 9.9 4.43 5.56 
Thailand 1.4 0.62 0.78 7010
Mexico 2.5 1.12 1.40 8970
Australia 7.7 3.45 4.32 28260
World Average 2.23 1.0 1.25 Leave this cell empty
Your home country 5.4 2.42 3.03 18720
Iraq 1.1 0.49 0.61 
France 5.8 2.60 3.25 26920
Ethiopia 0.7 0.31 0.39 780
California 3.5 0.67 0.84 1000



TEGRA_table_txt_file: table_9849.txt
TEGRA_TABLE_TEXT: Sweden 7 3.13 3.93 26050
Bangladesh 0.6 0.26 0.33 1700
U.A.E. 9.9 4.43 5.56 
Thailand 1.4 0.62 0.78 7010
Mexico 2.5 1.12 1.40 8970
Australia 7.7 3.45 4.32 28260
World Average 2.23 1.0 1.25 Leave this cell empty
Your home country 5.4 2.42 3.03 18720
Iraq 1.1 0.49 0.61 
France 5.8 2.60 3.25 26920
Ethiopia 0.7 0.31 0.39 780
California 3.5 0.67 0.84 1000
label: Sweden||7||3.13||3.93||26050
Bangladesh||0.6||0.26||0.33||1700
U.A.E.||9.9||4.43||5.56||
Thailand||1.4||0.62||0.78||7010
Mexico||2.5||1.12||1.40||8970
Australia||7.7||3.45||4.32||28260
World Average||2.23||1.0||1.25||Leave this cell empty
Your home country||5.4||2.42||3.03||18720
Iraq||1.1||0.49||0.61||
France||5.8||2.60||3.25||26920
Ethiopia||0.7||0.31||0.39||780
California||3.5||0.67||0.84||1000
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:
Suhasini Gita
Narayana Rao Vasu
Saichand Kumar
Rajendra Prasad Hari
Girish Gandhi
Sakshi Ranga Rao Gita's father
P. L. Narayana Vasu's colleague
Bhimeswara Rao Doctor
Devadas Kanakala Sekhar's colleague
Mallikarjuna Rao Cine director
Master Ali Vasu's brother



TEGRA_table_txt_file: table_5919.txt
TEGRA_TABLE_TEXT: Suhasini Gita
Narayana Rao Vasu
Saichand Kumar
Rajendra Prasad Hari
Girish Gandhi
Sakshi Ranga Rao Gita's father
P. L. Narayana Vasu's colleague
Bhimeswara Rao Doctor
Devadas Kanakala Sekhar's colleague
Mallikarjuna Rao Cine director
Master Ali Vasu's brother
label: Suhasini||Gita
Narayana Rao||Vasu
Saichand||Kumar
Rajendra Prasad||Hari
Girish||Gandhi
Sakshi Ranga Rao||Gita's father
P. L. Narayana||Vasu's colleague
Bhimeswara Rao||Doctor
Devadas Kanakala||Sekhar's colleague
Mallikarjuna Rao||Cine director
Master Ali||Vasu's brother
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:
Assembled Width (in.) 13 in Break Strength (lb.) 275.0 lb
Chemical Resistant Yes Color Family Browns / Tans
Color/Finish Chalice Gold Commercial / Residential Commercial / Residential
Glazed Yes Indoor/Outdoor Indoor/Outdoor
Manufacturer Warranty 1 Year Mosaic No
Number of Tiles per Case 1 Product Length (in.) 10
Product Thickness (in.) 0.313 in Product Width (in.) 13
Rectified Edge No Returnable 90-Day



TEGRA_table_txt_file: table_4734.txt
TEGRA_TABLE_TEXT: Assembled Width (in.) 13 in Break Strength (lb.) 275.0 lb
Chemical Resistant Yes Color Family Browns / Tans
Color/Finish Chalice Gold Commercial / Residential Commercial / Residential
Glazed Yes Indoor/Outdoor Indoor/Outdoor
Manufacturer Warranty 1 Year Mosaic No
Number of Tiles per Case 1 Product Length (in.) 10
Product Thickness (in.) 0.313 in Product Width (in.) 13
Rectified Edge No Returnable 90-Day
label: Assembled Width (in.)||13 in||Break Strength (lb.)||275.0 lb
Chemical Resistant||Yes||Color Family||Browns / Tans
Color/Finish||Chalice Gold||Commercial / Residential||Commercial / Residential
Glazed||Yes||Indoor/Outdoor||Indoor/Outdoor
Manufacturer Warranty||1 Year||Mosaic||No
Number of Tiles per Case||1||Product Length (in.)||10
Product Thickness (in.)||0.313 in||Product Width (in.)||13
Rectified Edge||No||Returnable||90-Day
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:
Wednesday 23/10/2013 6715 GBP = 7877.56795 EUR
Tuesday 22/10/2013 6715 GBP = 7909.53135 EUR
Monday 21/10/2013 6715 GBP = 7922.82705 EUR
Sunday 20/10/2013 6715 GBP = 7936.79425 EUR
Saturday 19/10/2013 6715 GBP = 7931.8923 EUR
Friday 18/10/2013 6715 GBP = 7933.16815 EUR
Thursday 17/10/2013 6715 GBP = 7935.04835 EUR
Wednesday 16/10/2013 6715 GBP = 7918.5966 EUR
Tuesday 15/10/2013 6715 GBP = 7939.0102 EUR
Monday 14/10/2013 6715 GBP = 7911.94875 EUR



TEGRA_table_txt_file: table_3815.txt
TEGRA_TABLE_TEXT: Wednesday 23/10/2013 6715 GBP = 7877.56795 EUR
Tuesday 22/10/2013 6715 GBP = 7909.53135 EUR
Monday 21/10/2013 6715 GBP = 7922.82705 EUR
Sunday 20/10/2013 6715 GBP = 7936.79425 EUR
Saturday 19/10/2013 6715 GBP = 7931.8923 EUR
Friday 18/10/2013 6715 GBP = 7933.16815 EUR
Thursday 17/10/2013 6715 GBP = 7935.04835 EUR
Wednesday 16/10/2013 6715 GBP = 7918.5966 EUR
Tuesday 15/10/2013 6715 GBP = 7939.0102 EUR
Monday 14/10/2013 6715 GBP = 7911.94875 EUR
label: Wednesday 23/10/2013||6715 GBP =||7877.56795 EUR
Tuesday 22/10/2013||6715 GBP =||7909.53135 EUR
Monday 21/10/2013||6715 GBP =||7922.82705 EUR
Sunday 20/10/2013||6715 GBP =||7936.79425 EUR
Saturday 19/10/2013||6715 GBP =||7931.8923 EUR
Friday 18/10/2013||6715 GBP =||7933.16815 EUR
Thursday 17/10/2013||6715 GBP =||7935.04835 EUR
Wednesday 16/10/2013||6715 GBP =||7918.5966 EUR
Tuesday 15/10/2013||6715 GBP =||7939.0102 EUR
Monday 14/10/2013||6715 GBP =||7911.94875 EUR
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 http://fr33dom.h33t.com:3310/announce 0 / 0 long ago
3 http://open.nyaatorrents.info:6544/announce 0 / 0 long ago
4 http://thetracker.org./announce 1 / 0 2 hours
5 http://tracker.bittorrent.am/announce 0 / 0 2 weeks
6 http://tracker.coppersurfer.tk:6969/announce 0 / 0 5 days
7 http://tracker.istole.it/announce 3 / 0 5 hours
8 udp://tracker.openbittorrent.com:80 0 / 0 3 weeks
9 udp://tracker.publicbt.com:80 0 / 0 long ago



TEGRA_table_txt_file: table_7722.txt
TEGRA_TABLE_TEXT: 2 http://fr33dom.h33t.com:3310/announce 0 / 0 long ago
3 http://open.nyaatorrents.info:6544/announce 0 / 0 long ago
4 http://thetracker.org./announce 1 / 0 2 hours
5 http://tracker.bittorrent.am/announce 0 / 0 2 weeks
6 http://tracker.coppersurfer.tk:6969/announce 0 / 0 5 days
7 http://tracker.istole.it/announce 3 / 0 5 hours
8 udp://tracker.openbittorrent.com:80 0 / 0 3 weeks
9 udp://tracker.publicbt.com:80 0 / 0 long ago
label: 2||http://fr33dom.h33t.com:3310/announce||0 / 0||long ago
3||http://open.nyaatorrents.info:6544/announce||0 / 0||long ago
4||http://thetracker.org./announce||1 / 0||2 hours
5||http://tracker.bittorrent.am/announce||0 / 0||2 weeks
6||http://tracker.coppersurfer.tk:6969/announce||0 / 0||5 days
7||http://tracker.istole.it/announce||3 / 0||5 hours
8||udp://tracker.openbittorrent.com:80||0 / 0||3 weeks
9||udp://tracker.publicbt.com:80||0 / 0||long ago
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:
http://11.rarbg.com/announce private 31 Jul 2013 - - -
http://10.rarbg.com/announce private 31 Jul 2013 - - -
http://pow7.com/announce outdated 31 Jul 2013 - - -
http://exodus.1337x.org/announce outdated 31 Jul 2013 - - -
http://bt1.the9.com:6969/announce outdated 31 Jul 2013 - - -
udp://tracker.publicbt.com:80/announce outdated 31 Jul 2013 - - -
http://tracker.openbittorrent.com/announce outdated 31 Jul 2013 - - -
http://tracker.istole.it/announce outdated 31 Jul 2013 - - -
http://nemesis.1337x.org/announce outdated 31 Jul 2013 - - -
http://tracker.publicbt.com/announce outdated 31 Jul 2013 - - -
udp://tracker.istole.it:80/announce outdated 31 Jul 2013 - - -



TEGRA_table_txt_file: table_3674.txt
TEGRA_TABLE_TEXT: http://11.rarbg.com/announce private 31 Jul 2013 - - -
http://10.rarbg.com/announce private 31 Jul 2013 - - -
http://pow7.com/announce outdated 31 Jul 2013 - - -
http://exodus.1337x.org/announce outdated 31 Jul 2013 - - -
http://bt1.the9.com:6969/announce outdated 31 Jul 2013 - - -
udp://tracker.publicbt.com:80/announce outdated 31 Jul 2013 - - -
http://tracker.openbittorrent.com/announce outdated 31 Jul 2013 - - -
http://tracker.istole.it/announce outdated 31 Jul 2013 - - -
http://nemesis.1337x.org/announce outdated 31 Jul 2013 - - -
http://tracker.publicbt.com/announce outdated 31 Jul 2013 - - -
udp://tracker.istole.it:80/announce outdated 31 Jul 2013 - - -
label: http://11.rarbg.com/announce||private||31 Jul 2013||-||-||-
http://10.rarbg.com/announce||private||31 Jul 2013||-||-||-
http://pow7.com/announce||outdated||31 Jul 2013||-||-||-
http://exodus.1337x.org/announce||outdated||31 Jul 2013||-||-||-
http://bt1.the9.com:6969/announce||outdated||31 Jul 2013||-||-||-
udp://tracker.publicbt.com:80/announce||outdated||31 Jul 2013||-||-||-
http://tracker.openbittorrent.com/announce||outdated||31 Jul 2013||-||-||-
http://tracker.istole.it/announce||outdated||31 Jul 2013||-||-||-
http://nemesis.1337x.org/announce||outdated||31 Jul 2013||-||-||-
http://tracker.publicbt.com/announce||outdated||31 Jul 2013||-||-||-
udp://tracker.istole.it:80/announce||outdated||31 Jul 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:
18. Crewe 13 3 3 7 -17 12
19. Oldham 12 3 2 7 -4 11
20. Stevenage 13 3 2 8 -8 11
21. Sheff Utd 13 2 3 8 -10 9
22. Tranmere 13 2 3 8 -15 9



TEGRA_table_txt_file: table_9231.txt
TEGRA_TABLE_TEXT: 18. Crewe 13 3 3 7 -17 12
19. Oldham 12 3 2 7 -4 11
20. Stevenage 13 3 2 8 -8 11
21. Sheff Utd 13 2 3 8 -10 9
22. Tranmere 13 2 3 8 -15 9
label: 18. Crewe||13||3||3||7||-17||12
19. Oldham||12||3||2||7||-4||11
20. Stevenage||13||3||2||8||-8||11
21. Sheff Utd||13||2||3||8||-10||9
22. Tranmere||13||2||3||8||-15||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:
Gasolinas 2/ 456.8 456.4 -0.1
Pemex Magna 413.7 425.7 2.9
Pemex Premium 35.0 26.1 -25.4
Otras gasolinas 3/ 8.1 4.6 -43.7
Diesel 328.1 334.0 1.8
Pemex Diesel 318.3 326.2 2.5
Otros 9.8 7.8 -20.1
Combust&oacute;leo 325.7 301.5 -7.4
Otros petrol&iacute;feros 195.1 194.0 -0.6



TEGRA_table_txt_file: table_6832.txt
TEGRA_TABLE_TEXT: Gasolinas 2/ 456.8 456.4 -0.1
Pemex Magna 413.7 425.7 2.9
Pemex Premium 35.0 26.1 -25.4
Otras gasolinas 3/ 8.1 4.6 -43.7
Diesel 328.1 334.0 1.8
Pemex Diesel 318.3 326.2 2.5
Otros 9.8 7.8 -20.1
Combust&oacute;leo 325.7 301.5 -7.4
Otros petrol&iacute;feros 195.1 194.0 -0.6
label: Gasolinas 2/||456.8||456.4||-0.1
Pemex Magna||413.7||425.7||2.9
Pemex Premium||35.0||26.1||-25.4
Otras gasolinas 3/||8.1||4.6||-43.7
Diesel||328.1||334.0||1.8
Pemex Diesel||318.3||326.2||2.5
Otros||9.8||7.8||-20.1
Combust&oacute;leo||325.7||301.5||-7.4
Otros petrol&iacute;feros||195.1||194.0||-0.6
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
AMAZING WHIP IT CLEANER Showcase Begin10/23/2013End11/3/2013
BOARDWALK FUDGE Showcase Begin10/23/2013End11/3/2013
PORTABLE ELECTRONICS Showcase Begin10/23/2013End11/3/2013
MIGI NAIL ART Showcase Begin11/6/2013End11/17/2013
SHARP SELECT KNIVES Showcase Begin11/7/2013End11/17/2013
CHEF SHAMY GOURMET BUTTERS Showcase Begin11/7/2013End11/10/2013
DESIGNER STERLING SILVER Showcase Begin12/3/2013End12/10/2013
BOARDWALK FUDGE Showcase Begin12/3/2013End12/15/2013
PETER & PATS PIEROGIES Showcase Begin12/17/2013End12/29/2013
SONICOMFORT Showcase Begin12/17/2013End12/29/2013
UNM PHOTO FOOTBALL Showcase Begin12/19/2013End1/5/2014



TEGRA_table_txt_file: table_3492.txt
TEGRA_TABLE_TEXT: AMAZING WHIP IT CLEANER Showcase Begin10/23/2013End11/3/2013
BOARDWALK FUDGE Showcase Begin10/23/2013End11/3/2013
PORTABLE ELECTRONICS Showcase Begin10/23/2013End11/3/2013
MIGI NAIL ART Showcase Begin11/6/2013End11/17/2013
SHARP SELECT KNIVES Showcase Begin11/7/2013End11/17/2013
CHEF SHAMY GOURMET BUTTERS Showcase Begin11/7/2013End11/10/2013
DESIGNER STERLING SILVER Showcase Begin12/3/2013End12/10/2013
BOARDWALK FUDGE Showcase Begin12/3/2013End12/15/2013
PETER & PATS PIEROGIES Showcase Begin12/17/2013End12/29/2013
SONICOMFORT Showcase Begin12/17/2013End12/29/2013
UNM PHOTO FOOTBALL Showcase Begin12/19/2013End1/5/2014
label: AMAZING WHIP IT CLEANER||Showcase||Begin10/23/2013End11/3/2013
BOARDWALK FUDGE||Showcase||Begin10/23/2013End11/3/2013
PORTABLE ELECTRONICS||Showcase||Begin10/23/2013End11/3/2013
MIGI NAIL ART||Showcase||Begin11/6/2013End11/17/2013
SHARP SELECT KNIVES||Showcase||Begin11/7/2013End11/17/2013
CHEF SHAMY GOURMET BUTTERS||Showcase||Begin11/7/2013End11/10/2013
DESIGNER STERLING SILVER||Showcase||Begin12/3/2013End12/10/2013
BOARDWALK FUDGE||Showcase||Begin12/3/2013End12/15/2013
PETER & PATS PIEROGIES||Showcase||Begin12/17/2013End12/29/2013
SONICOMFORT||Showcase||Begin12/17/2013End12/29/2013
UNM PHOTO FOOTBALL||Showcase||Begin12/19/2013End1/5/2014
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
iPhone 22.43% 21.32% -1.11% -4.90%
Opera Mini/Mobile 15.73% 16.10% +0.37% +2.40%
UC Browser 10.57% 11.15% +0.58% +5.50%
Nokia Browser 7.14% 7.04% -0.10% -1.40%
Chrome 3.77% 4.25% +0.48% +12.70%
Blackberry 3.13% 3.17% +0.04% +1.30%



TEGRA_table_txt_file: table_2195.txt
TEGRA_TABLE_TEXT: iPhone 22.43% 21.32% -1.11% -4.90%
Opera Mini/Mobile 15.73% 16.10% +0.37% +2.40%
UC Browser 10.57% 11.15% +0.58% +5.50%
Nokia Browser 7.14% 7.04% -0.10% -1.40%
Chrome 3.77% 4.25% +0.48% +12.70%
Blackberry 3.13% 3.17% +0.04% +1.30%
label: iPhone||22.43%||21.32%||-1.11%||-4.90%
Opera Mini/Mobile||15.73%||16.10%||+0.37%||+2.40%
UC Browser||10.57%||11.15%||+0.58%||+5.50%
Nokia Browser||7.14%||7.04%||-0.10%||-1.40%
Chrome||3.77%||4.25%||+0.48%||+12.70%
Blackberry||3.13%||3.17%||+0.04%||+1.30%
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
Rape 787 699 -11
Robbery 7,386 6,502 -12
Aggravated Assault 9,215 8,553 -7
Burglary 26,595 21,492 -19
Larceny-Theft 82,090 74,868 -9
Motor Vehicle Theft 17,242 16,755 -3
Total Crime Index 143,470 129,009 -10
Violent Crime 17,543 15,894 -9
Nonviolent Crime 125,927 113,115 -10
Arson 1,050 979 -7
Domestic Violence 38,836 39,069 1



TEGRA_table_txt_file: table_4315.txt
TEGRA_TABLE_TEXT: Rape 787 699 -11
Robbery 7,386 6,502 -12
Aggravated Assault 9,215 8,553 -7
Burglary 26,595 21,492 -19
Larceny-Theft 82,090 74,868 -9
Motor Vehicle Theft 17,242 16,755 -3
Total Crime Index 143,470 129,009 -10
Violent Crime 17,543 15,894 -9
Nonviolent Crime 125,927 113,115 -10
Arson 1,050 979 -7
Domestic Violence 38,836 39,069 1
label: Rape||787||699||-11
Robbery||7,386||6,502||-12
Aggravated Assault||9,215||8,553||-7
Burglary||26,595||21,492||-19
Larceny-Theft||82,090||74,868||-9
Motor Vehicle Theft||17,242||16,755||-3
Total Crime Index||143,470||129,009||-10
Violent Crime||17,543||15,894||-9
Nonviolent Crime||125,927||113,115||-10
Arson||1,050||979||-7
Domestic Violence||38,836||39,069||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:
Pleasanton Middle School 5 - 8 PUBLIC
Village High School 9 - 12 PUBLIC
Horizon High School 9 - 12 PUBLIC
Walnut Grove Elementary School K - 5 PUBLIC
Amador Valley High School 9 - 12 PUBLIC
Harvest Park Middle School 5 - 8 PUBLIC
Alisal Elementary School K - 5 PUBLIC
Valley View Elementary School K - 5 PUBLIC



TEGRA_table_txt_file: table_7763.txt
TEGRA_TABLE_TEXT: Pleasanton Middle School 5 - 8 PUBLIC
Village High School 9 - 12 PUBLIC
Horizon High School 9 - 12 PUBLIC
Walnut Grove Elementary School K - 5 PUBLIC
Amador Valley High School 9 - 12 PUBLIC
Harvest Park Middle School 5 - 8 PUBLIC
Alisal Elementary School K - 5 PUBLIC
Valley View Elementary School K - 5 PUBLIC
label: Pleasanton Middle School||5 - 8||PUBLIC
Village High School||9 - 12||PUBLIC
Horizon High School||9 - 12||PUBLIC
Walnut Grove Elementary School||K - 5||PUBLIC
Amador Valley High School||9 - 12||PUBLIC
Harvest Park Middle School||5 - 8||PUBLIC
Alisal Elementary School||K - 5||PUBLIC
Valley View Elementary School||K - 5||PUBLIC
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:
Amido negli alimenti Discussione Scheda formato rtf
Saggio per lo zucchero Discussione Scheda formato rtf
Saggio per zuccheri diversi Discussione Scheda formato rtf
Zuccheri negli alimenti Discussione Scheda formato rtf
Saggio per le proteine Discussione Scheda formato rtf
Proteine negli alimenti Discussione Scheda formato rtf
Saggio per i grassi Discussione Scheda formato rtf



TEGRA_table_txt_file: table_104.txt
TEGRA_TABLE_TEXT: Amido negli alimenti Discussione Scheda formato rtf
Saggio per lo zucchero Discussione Scheda formato rtf
Saggio per zuccheri diversi Discussione Scheda formato rtf
Zuccheri negli alimenti Discussione Scheda formato rtf
Saggio per le proteine Discussione Scheda formato rtf
Proteine negli alimenti Discussione Scheda formato rtf
Saggio per i grassi Discussione Scheda formato rtf
label: Amido negli alimenti||Discussione||Scheda formato rtf
Saggio per lo zucchero||Discussione||Scheda formato rtf
Saggio per zuccheri diversi||Discussione||Scheda formato rtf
Zuccheri negli alimenti||Discussione||Scheda formato rtf
Saggio per le proteine||Discussione||Scheda formato rtf
Proteine negli alimenti||Discussione||Scheda formato rtf
Saggio per i grassi||Discussione||Scheda formato 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:
18,930 businesssearch.dnb.com 216.97.237.203 United States
18,931 wap.mig33.com 66.151.149.110 Nepal
18,932 avisosdeocasion.com 200.94.128.35 Mexico
18,933 fishgame.idaho.gov 164.165.66.84 n/a
18,934 webhost4life.com 65.254.244.130 United States
18,935 thislife.org 208.100.22.11 United States
18,936 adapta.com.au 67.215.233.139 Australia
18,937 myvirginia.org 206.113.150.65 United States
18,938 thenetresults.com 74.53.10.50 Nigeria



TEGRA_table_txt_file: table_1571.txt
TEGRA_TABLE_TEXT: 18,930 businesssearch.dnb.com 216.97.237.203 United States
18,931 wap.mig33.com 66.151.149.110 Nepal
18,932 avisosdeocasion.com 200.94.128.35 Mexico
18,933 fishgame.idaho.gov 164.165.66.84 n/a
18,934 webhost4life.com 65.254.244.130 United States
18,935 thislife.org 208.100.22.11 United States
18,936 adapta.com.au 67.215.233.139 Australia
18,937 myvirginia.org 206.113.150.65 United States
18,938 thenetresults.com 74.53.10.50 Nigeria
label: 18,930||businesssearch.dnb.com||216.97.237.203||United States
18,931||wap.mig33.com||66.151.149.110||Nepal
18,932||avisosdeocasion.com||200.94.128.35||Mexico
18,933||fishgame.idaho.gov||164.165.66.84||n/a
18,934||webhost4life.com||65.254.244.130||United States
18,935||thislife.org||208.100.22.11||United States
18,936||adapta.com.au||67.215.233.139||Australia
18,937||myvirginia.org||206.113.150.65||United States
18,938||thenetresults.com||74.53.10.50||Nigeria
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 bis 5 Flaschen 5,95 EUR 40,00 EUR 24,00 EUR 100,00 EUR
6 bis 12 Flaschen 5,95 EUR 52,00 EUR 36,00 EUR 200,00 EUR
13 bis 18 Flaschen 5,95 EUR 68,00 EUR 48,00 EUR 250,00 EUR
19 bis 24 Flaschen 10,95 EUR 96,00 EUR 56,00 EUR 300,00 EUR
25 bis 30 Flaschen 10,95 EUR - 72,00 EUR 300,00 EUR
31 bis 36 Flaschen 10,95 EUR - 96,00 EUR 300,00 EUR
37 bis 42 Flaschen 15,95 EUR - - -
43 bis 48 Flaschen 15,95 EUR - - -
49 bis 54 Flaschen 15,95 EUR - - -
55 bis 60 Flaschen 21,95 EUR - - -
61 bis 66 Flaschen 21,95 EUR - - -
67 bis 72 Flaschen 21,95 EUR - - -



TEGRA_table_txt_file: table_2767.txt
TEGRA_TABLE_TEXT: 3 bis 5 Flaschen 5,95 EUR 40,00 EUR 24,00 EUR 100,00 EUR
6 bis 12 Flaschen 5,95 EUR 52,00 EUR 36,00 EUR 200,00 EUR
13 bis 18 Flaschen 5,95 EUR 68,00 EUR 48,00 EUR 250,00 EUR
19 bis 24 Flaschen 10,95 EUR 96,00 EUR 56,00 EUR 300,00 EUR
25 bis 30 Flaschen 10,95 EUR - 72,00 EUR 300,00 EUR
31 bis 36 Flaschen 10,95 EUR - 96,00 EUR 300,00 EUR
37 bis 42 Flaschen 15,95 EUR - - -
43 bis 48 Flaschen 15,95 EUR - - -
49 bis 54 Flaschen 15,95 EUR - - -
55 bis 60 Flaschen 21,95 EUR - - -
61 bis 66 Flaschen 21,95 EUR - - -
67 bis 72 Flaschen 21,95 EUR - - -
label: 3 bis 5 Flaschen||5,95 EUR||40,00 EUR||24,00 EUR||100,00 EUR
6 bis 12 Flaschen||5,95 EUR||52,00 EUR||36,00 EUR||200,00 EUR
13 bis 18 Flaschen||5,95 EUR||68,00 EUR||48,00 EUR||250,00 EUR
19 bis 24 Flaschen||10,95 EUR||96,00 EUR||56,00 EUR||300,00 EUR
25 bis 30 Flaschen||10,95 EUR||-||72,00 EUR||300,00 EUR
31 bis 36 Flaschen||10,95 EUR||-||96,00 EUR||300,00 EUR
37 bis 42 Flaschen||15,95 EUR||-||-||-
43 bis 48 Flaschen||15,95 EUR||-||-||-
49 bis 54 Flaschen||15,95 EUR||-||-||-
55 bis 60 Flaschen||21,95 EUR||-||-||-
61 bis 66 Flaschen||21,95 EUR||-||-||-
67 bis 72 Flaschen||21,95 EUR||-||-||-
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: seat tube 17.0 19.0 21.0 23.0 h: seat angle 73°
c: head tube 3.7 4.5 5.3 6.1 i: chainstay 18.2
d: stack 24.1 24.7 25.6 26.3 j: bb height 13.4
e: reach 16.1 16.3 17.2 17.6 bb shell 73mm
f: standover 31.0 31.5 33.0 34.0 seat post 30.9mm
frame weight 6.9 7.1 7.4 7.6 head tube 44mm



TEGRA_table_txt_file: table_334.txt
TEGRA_TABLE_TEXT: b: seat tube 17.0 19.0 21.0 23.0 h: seat angle 73°
c: head tube 3.7 4.5 5.3 6.1 i: chainstay 18.2
d: stack 24.1 24.7 25.6 26.3 j: bb height 13.4
e: reach 16.1 16.3 17.2 17.6 bb shell 73mm
f: standover 31.0 31.5 33.0 34.0 seat post 30.9mm
frame weight 6.9 7.1 7.4 7.6 head tube 44mm
label: b: seat tube||17.0||19.0||21.0||23.0||h: seat angle||73°
c: head tube||3.7||4.5||5.3||6.1||i: chainstay||18.2
d: stack||24.1||24.7||25.6||26.3||j: bb height||13.4
e: reach||16.1||16.3||17.2||17.6||bb shell||73mm
f: standover||31.0||31.5||33.0||34.0||seat post||30.9mm
frame weight||6.9||7.1||7.4||7.6||head tube||44mm
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 Goldencents Kevin Krigger Doug O'Neill 8-1
3 Titletown Five Julien Leparoux D. Wayne Lukas 30-1
4 Departing Brian Hernandez Jr. Albert M. Stall Jr. 6-1
5 Mylute Rosie Napravnik Tom Amoss 5-1
6 Oxbow Gary Stevens D. Wayne Lukas 15-1
7 Will Take Charge Mike Smith D. Wayne Lukas 14-1
8 Govenor Charlie Martin Garcia Bob Baffert 12-1



TEGRA_table_txt_file: table_2093.txt
TEGRA_TABLE_TEXT: 2 Goldencents Kevin Krigger Doug O'Neill 8-1
3 Titletown Five Julien Leparoux D. Wayne Lukas 30-1
4 Departing Brian Hernandez Jr. Albert M. Stall Jr. 6-1
5 Mylute Rosie Napravnik Tom Amoss 5-1
6 Oxbow Gary Stevens D. Wayne Lukas 15-1
7 Will Take Charge Mike Smith D. Wayne Lukas 14-1
8 Govenor Charlie Martin Garcia Bob Baffert 12-1
label: 2||Goldencents||Kevin Krigger||Doug O'Neill||8-1
3||Titletown Five||Julien Leparoux||D. Wayne Lukas||30-1
4||Departing||Brian Hernandez Jr.||Albert M. Stall Jr.||6-1
5||Mylute||Rosie Napravnik||Tom Amoss||5-1
6||Oxbow||Gary Stevens||D. Wayne Lukas||15-1
7||Will Take Charge||Mike Smith||D. Wayne Lukas||14-1
8||Govenor Charlie||Martin Garcia||Bob Baffert||12-1
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:
 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Ann
High Max. (&deg;C) 43.5 43.5 41.0 36.0 28.7 24.4 24.5 29.8 34.1 39.0 43.4 42.4 43.5
Low Max. (&deg;C) 17.2 17.5 16.3 13.2 10.7 9.6 7.8 9.5 11.9 12.9 13.5 14.3 7.8
High Min. (&deg;C) 29.9 27.0 24.7 21.7 18.7 14.6 16.6 18.1 20.5 23.8 29.7 28.6 29.9
Low Min. (&deg;C) 8.2 8.6 4.7 1.3 -1.0 -2.0 -2.7 -3.0 -1.3 0.5 5.0 6.4 -3.0



TEGRA_table_txt_file: table_295.txt
TEGRA_TABLE_TEXT:  Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Ann
High Max. (&deg;C) 43.5 43.5 41.0 36.0 28.7 24.4 24.5 29.8 34.1 39.0 43.4 42.4 43.5
Low Max. (&deg;C) 17.2 17.5 16.3 13.2 10.7 9.6 7.8 9.5 11.9 12.9 13.5 14.3 7.8
High Min. (&deg;C) 29.9 27.0 24.7 21.7 18.7 14.6 16.6 18.1 20.5 23.8 29.7 28.6 29.9
Low Min. (&deg;C) 8.2 8.6 4.7 1.3 -1.0 -2.0 -2.7 -3.0 -1.3 0.5 5.0 6.4 -3.0
label: ||Jan||Feb||Mar||Apr||May||Jun||Jul||Aug||Sep||Oct||Nov||Dec||Ann
High Max. (&deg;C)||43.5||43.5||41.0||36.0||28.7||24.4||24.5||29.8||34.1||39.0||43.4||42.4||43.5
Low Max. (&deg;C)||17.2||17.5||16.3||13.2||10.7||9.6||7.8||9.5||11.9||12.9||13.5||14.3||7.8
High Min. (&deg;C)||29.9||27.0||24.7||21.7||18.7||14.6||16.6||18.1||20.5||23.8||29.7||28.6||29.9
Low Min. (&deg;C)||8.2||8.6||4.7||1.3||-1.0||-2.0||-2.7||-3.0||-1.3||0.5||5.0||6.4||-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:
Previous Results       
2013-05-03 FC Emmen 2-1 Top Oss W 0 1 U 3.5 JUP LG
2013-04-26 Cambuur Leeuwarden 4-0 FC Emmen L +2 -2 O&frac12; 3.75 JUP LG
2013-04-22 FC Emmen 1-3 Cambuur Leeuwarden L +1 -1 O 3.25 JUP LG
2013-04-19 FC Emmen 3-0 FC Omniworld W -0.5 2.5 U 3.5 JUP LG
2013-04-12 FC Eindhoven 4-1 FC Emmen L -0.25 -3.25 O 3.25 JUP LG



TEGRA_table_txt_file: table_8755.txt
TEGRA_TABLE_TEXT: Previous Results       
2013-05-03 FC Emmen 2-1 Top Oss W 0 1 U 3.5 JUP LG
2013-04-26 Cambuur Leeuwarden 4-0 FC Emmen L +2 -2 O&frac12; 3.75 JUP LG
2013-04-22 FC Emmen 1-3 Cambuur Leeuwarden L +1 -1 O 3.25 JUP LG
2013-04-19 FC Emmen 3-0 FC Omniworld W -0.5 2.5 U 3.5 JUP LG
2013-04-12 FC Eindhoven 4-1 FC Emmen L -0.25 -3.25 O 3.25 JUP LG
label: Previous Results||||||||||||||
2013-05-03||FC Emmen||2-1||Top Oss||W 0||1||U 3.5||JUP LG
2013-04-26||Cambuur Leeuwarden||4-0||FC Emmen||L +2||-2||O&frac12; 3.75||JUP LG
2013-04-22||FC Emmen||1-3||Cambuur Leeuwarden||L +1||-1||O 3.25||JUP LG
2013-04-19||FC Emmen||3-0||FC Omniworld||W -0.5||2.5||U 3.5||JUP LG
2013-04-12||FC Eindhoven||4-1||FC Emmen||L -0.25||-3.25||O 3.25||JUP LG
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:
Calderys Nordic AB Filial Livarebo, 46472 Håverud Livarebo, 46472 Håverud 0530-30796
Calderys Nordic AB Filial Norsavägen 25, 73198 Köping Norsavägen 25, 73198 Köping 0221-84600
Åmålsfabriken Filial Forshammarsgatan 2, 66232 Åmål Box 114, 66223 Åmål 0532-768600
Calderys Nordic AB Filial Bruksgatan 37, 26339 Höganäs Box 216, 26323 Höganäs 042-4998800
Calderys Nordic AB Filial Beckasinvägen 13, 80309 Gävle Beckasinvägen 13, 80309 Gävle 026-121253
Calderys Nordic AB Filial Sjögatan 11, 89160 Örnsköldsvik Sjögatan 11, 89160 Örnsköldsvik 0660-15105
Calderys Nordic AB Filial Fabriksgatan 4, 53130 Lidköping Fabriksgatan 4, 53130 Lidköping 0510-545450



TEGRA_table_txt_file: table_6543.txt
TEGRA_TABLE_TEXT: Calderys Nordic AB Filial Livarebo, 46472 Håverud Livarebo, 46472 Håverud 0530-30796
Calderys Nordic AB Filial Norsavägen 25, 73198 Köping Norsavägen 25, 73198 Köping 0221-84600
Åmålsfabriken Filial Forshammarsgatan 2, 66232 Åmål Box 114, 66223 Åmål 0532-768600
Calderys Nordic AB Filial Bruksgatan 37, 26339 Höganäs Box 216, 26323 Höganäs 042-4998800
Calderys Nordic AB Filial Beckasinvägen 13, 80309 Gävle Beckasinvägen 13, 80309 Gävle 026-121253
Calderys Nordic AB Filial Sjögatan 11, 89160 Örnsköldsvik Sjögatan 11, 89160 Örnsköldsvik 0660-15105
Calderys Nordic AB Filial Fabriksgatan 4, 53130 Lidköping Fabriksgatan 4, 53130 Lidköping 0510-545450
label: Calderys Nordic AB||Filial||Livarebo, 46472 Håverud||Livarebo, 46472 Håverud||0530-30796
Calderys Nordic AB||Filial||Norsavägen 25, 73198 Köping||Norsavägen 25, 73198 Köping||0221-84600
Åmålsfabriken||Filial||Forshammarsgatan 2, 66232 Åmål||Box 114, 66223 Åmål||0532-768600
Calderys Nordic AB||Filial||Bruksgatan 37, 26339 Höganäs||Box 216, 26323 Höganäs||042-4998800
Calderys Nordic AB||Filial||Beckasinvägen 13, 80309 Gävle||Beckasinvägen 13, 80309 Gävle||026-121253
Calderys Nordic AB||Filial||Sjögatan 11, 89160 Örnsköldsvik||Sjögatan 11, 89160 Örnsköldsvik||0660-15105
Calderys Nordic AB||Filial||Fabriksgatan 4, 53130 Lidköping||Fabriksgatan 4, 53130 Lidköping||0510-545450
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:
 100% Field Values Wentworth 39.925% Interest      
Prospect P90 P50 Mean P10 P90 P50 Mean P10
Nanguruwe 23 62 72 133 9.2 25 29 53
Nanguruwe North 14 51 66 136 5.6 20 26 54
Nanguruwe West 138 354 415 769 55 141 166 307
Mwambo 191 369 399 640 76 147 159 256
OSX-1 164 414 471 847 65 165 188 338
OSX-2 61 142 161 287 24 57 64 115



TEGRA_table_txt_file: table_2437.txt
TEGRA_TABLE_TEXT:  100% Field Values Wentworth 39.925% Interest      
Prospect P90 P50 Mean P10 P90 P50 Mean P10
Nanguruwe 23 62 72 133 9.2 25 29 53
Nanguruwe North 14 51 66 136 5.6 20 26 54
Nanguruwe West 138 354 415 769 55 141 166 307
Mwambo 191 369 399 640 76 147 159 256
OSX-1 164 414 471 847 65 165 188 338
OSX-2 61 142 161 287 24 57 64 115
label: ||100% Field Values||Wentworth 39.925% Interest||||||||||||
Prospect||P90||P50||Mean||P10||P90||P50||Mean||P10
Nanguruwe||23||62||72||133||9.2||25||29||53
Nanguruwe North||14||51||66||136||5.6||20||26||54
Nanguruwe West||138||354||415||769||55||141||166||307
Mwambo||191||369||399||640||76||147||159||256
OSX-1||164||414||471||847||65||165||188||338
OSX-2||61||142||161||287||24||57||64||115
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:
Taurus Cancer Virgo Capricorn Pisces Leo Aquarius Scorpio
Gemini Aries Leo Libra Aquarius Virgo Pisces Sagittarius
Cancer Taurus Virgo Scorpio Pisces Aries Libra Capricorn
Leo Aries Gemini Libra Sagittarius Taurus Scorpio Aquarius
Virgo Taurus Cancer Scorpio Capricorn Gemini Sagittarius Pisces
Libra Gemini Leo Sagittarius Aquarius Cancer Capricorn Aries
Scorpio Cancer Virgo Capricorn Pisces Leo Aquarius Taurus
Sagittarius Aries Leo Libra Aquarius Virgo Pisces Gemini
Capricorn Taurus Virgo Scorpio Pisces Aries Libra Cancer
Aquarius Aries Gemini Libra Sagittarius Taurus Scorpio Leo



TEGRA_table_txt_file: table_3356.txt
TEGRA_TABLE_TEXT: Taurus Cancer Virgo Capricorn Pisces Leo Aquarius Scorpio
Gemini Aries Leo Libra Aquarius Virgo Pisces Sagittarius
Cancer Taurus Virgo Scorpio Pisces Aries Libra Capricorn
Leo Aries Gemini Libra Sagittarius Taurus Scorpio Aquarius
Virgo Taurus Cancer Scorpio Capricorn Gemini Sagittarius Pisces
Libra Gemini Leo Sagittarius Aquarius Cancer Capricorn Aries
Scorpio Cancer Virgo Capricorn Pisces Leo Aquarius Taurus
Sagittarius Aries Leo Libra Aquarius Virgo Pisces Gemini
Capricorn Taurus Virgo Scorpio Pisces Aries Libra Cancer
Aquarius Aries Gemini Libra Sagittarius Taurus Scorpio Leo
label: Taurus||Cancer Virgo Capricorn Pisces||Leo Aquarius||Scorpio
Gemini||Aries Leo Libra Aquarius||Virgo Pisces||Sagittarius
Cancer||Taurus Virgo Scorpio Pisces||Aries Libra||Capricorn
Leo||Aries Gemini Libra Sagittarius||Taurus Scorpio||Aquarius
Virgo||Taurus Cancer Scorpio Capricorn||Gemini Sagittarius||Pisces
Libra||Gemini Leo Sagittarius Aquarius||Cancer Capricorn||Aries
Scorpio||Cancer Virgo Capricorn Pisces||Leo Aquarius||Taurus
Sagittarius||Aries Leo Libra Aquarius||Virgo Pisces||Gemini
Capricorn||Taurus Virgo Scorpio Pisces||Aries Libra||Cancer
Aquarius||Aries Gemini Libra Sagittarius||Taurus Scorpio||Leo
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:
Ricardo Morello Natación 1964 Tokio
Adolfo Bisellach Esgrima 1964 Tokio
Alfredo Bourdillón Natación 1964 Tokio
Patricia Sentous Natación 1968 México
Adriana Comoli Natación 1968 México
Patricia López Muñiz Natación 1972 Munich
Martín Ríos Judo 2000 Sydney
Leandro Marchetti Esgrima 1996 Atlanta / 2000 Sydney
Gastón García Judo 2000 Sydney



TEGRA_table_txt_file: table_9257.txt
TEGRA_TABLE_TEXT: Ricardo Morello Natación 1964 Tokio
Adolfo Bisellach Esgrima 1964 Tokio
Alfredo Bourdillón Natación 1964 Tokio
Patricia Sentous Natación 1968 México
Adriana Comoli Natación 1968 México
Patricia López Muñiz Natación 1972 Munich
Martín Ríos Judo 2000 Sydney
Leandro Marchetti Esgrima 1996 Atlanta / 2000 Sydney
Gastón García Judo 2000 Sydney
label: Ricardo Morello||Natación||1964 Tokio
Adolfo Bisellach||Esgrima||1964 Tokio
Alfredo Bourdillón||Natación||1964 Tokio
Patricia Sentous||Natación||1968 México
Adriana Comoli||Natación||1968 México
Patricia López Muñiz||Natación||1972 Munich
Martín Ríos||Judo||2000 Sydney
Leandro Marchetti||Esgrima||1996 Atlanta / 2000 Sydney
Gastón García||Judo||2000 Sydney