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:
2. Jonas Liwing (D) 2013 - 2014 AIK SHL 14 1 8 9 6
3. Ilpo Salmivirta (F) 2013 - 2014 Sheffield Steelers EIHL 6 0 9 9 2
4. Teemu Elomo (F) 2013 - 2014 Herlev Denmark 9 3 5 8 8
5. Nicolas Besch (D) 2013 - 2014 KTH Krynica Poland 12 0 8 8 31
6. Pierre-Édouard Bellemare (F) 2013 - 2014 Skellefteå SHL 16 2 5 7 10
7. Loïc Sadoun (F) 2013 - 2014 Neuilly-sur-Marne France2 3 1 6 7 0
8. Dominic Léveillé (F) 2013 - 2014 Jonquière Marquis LNAH 2 1 5 6 0
9. Jens Olsson (D) 2013 - 2014 Malmö Allsvenskan 11 1 5 6 6



TEGRA_table_txt_file: table_3071.txt
TEGRA_TABLE_TEXT: 2. Jonas Liwing (D) 2013 - 2014 AIK SHL 14 1 8 9 6
3. Ilpo Salmivirta (F) 2013 - 2014 Sheffield Steelers EIHL 6 0 9 9 2
4. Teemu Elomo (F) 2013 - 2014 Herlev Denmark 9 3 5 8 8
5. Nicolas Besch (D) 2013 - 2014 KTH Krynica Poland 12 0 8 8 31
6. Pierre-Édouard Bellemare (F) 2013 - 2014 Skellefteå SHL 16 2 5 7 10
7. Loïc Sadoun (F) 2013 - 2014 Neuilly-sur-Marne France2 3 1 6 7 0
8. Dominic Léveillé (F) 2013 - 2014 Jonquière Marquis LNAH 2 1 5 6 0
9. Jens Olsson (D) 2013 - 2014 Malmö Allsvenskan 11 1 5 6 6
label: 2.||Jonas Liwing (D)||2013 - 2014||AIK||SHL||14||1||8||9||6
3.||Ilpo Salmivirta (F)||2013 - 2014||Sheffield Steelers||EIHL||6||0||9||9||2
4.||Teemu Elomo (F)||2013 - 2014||Herlev||Denmark||9||3||5||8||8
5.||Nicolas Besch (D)||2013 - 2014||KTH Krynica||Poland||12||0||8||8||31
6.||Pierre-Édouard Bellemare (F)||2013 - 2014||Skellefteå||SHL||16||2||5||7||10
7.||Loïc Sadoun (F)||2013 - 2014||Neuilly-sur-Marne||France2||3||1||6||7||0
8.||Dominic Léveillé (F)||2013 - 2014||Jonquière Marquis||LNAH||2||1||5||6||0
9.||Jens Olsson (D)||2013 - 2014||Malmö||Allsvenskan||11||1||5||6||6
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
2 Santa Fe 70 41 18 16 7 58 44 24 22 14
3 Millonarios 63 39 17 12 10 59 40 20 21 19
4 Cali 61 39 14 19 6 56 36 29 19 20
5 Itagüí 61 39 17 10 12 52 42 22 20 10
6 Pasto 59 39 14 17 8 49 50 18 29 -1
7 Tolima 55 39 13 16 10 53 48 20 29 5
8 Once Caldas 51 39 13 12 14 47 46 18 23 1
9 Junior 45 33 12 9 12 45 43 21 26 2



TEGRA_table_txt_file: table_4349.txt
TEGRA_TABLE_TEXT: 2 Santa Fe 70 41 18 16 7 58 44 24 22 14
3 Millonarios 63 39 17 12 10 59 40 20 21 19
4 Cali 61 39 14 19 6 56 36 29 19 20
5 Itagüí 61 39 17 10 12 52 42 22 20 10
6 Pasto 59 39 14 17 8 49 50 18 29 -1
7 Tolima 55 39 13 16 10 53 48 20 29 5
8 Once Caldas 51 39 13 12 14 47 46 18 23 1
9 Junior 45 33 12 9 12 45 43 21 26 2
label: 2||Santa Fe||70||41||18||16||7||58||44||24||22||14
3||Millonarios||63||39||17||12||10||59||40||20||21||19
4||Cali||61||39||14||19||6||56||36||29||19||20
5||Itagüí||61||39||17||10||12||52||42||22||20||10
6||Pasto||59||39||14||17||8||49||50||18||29||-1
7||Tolima||55||39||13||16||10||53||48||20||29||5
8||Once Caldas||51||39||13||12||14||47||46||18||23||1
9||Junior||45||33||12||9||12||45||43||21||26||2
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
udp://tracker.openbittorrent.com:80/announce active 21 Sep 2013 6 1 10
udp://tracker.istole.it:80/announce active 21 Sep 2013 12 2 10
udp://tracker.publicbt.com:80/announce active 21 Sep 2013 5 1 2
http://exodus.desync.com:6969/announce blocked 21 Sep 2013 - - -
http://fr33dom.h33t.com:3310/announce deleted 21 Sep 2013 - - -
udp://fr33domtracker.h33t.com:3310/announce deleted 21 Sep 2013 - - -
udp://9.rarbg.me:2710/announce pending 21 Sep 2013 7 1 10511
udp://ipv4.tracker.harry.lu:80/announce pending 21 Sep 2013 12 2 10



TEGRA_table_txt_file: table_5492.txt
TEGRA_TABLE_TEXT: udp://tracker.openbittorrent.com:80/announce active 21 Sep 2013 6 1 10
udp://tracker.istole.it:80/announce active 21 Sep 2013 12 2 10
udp://tracker.publicbt.com:80/announce active 21 Sep 2013 5 1 2
http://exodus.desync.com:6969/announce blocked 21 Sep 2013 - - -
http://fr33dom.h33t.com:3310/announce deleted 21 Sep 2013 - - -
udp://fr33domtracker.h33t.com:3310/announce deleted 21 Sep 2013 - - -
udp://9.rarbg.me:2710/announce pending 21 Sep 2013 7 1 10511
udp://ipv4.tracker.harry.lu:80/announce pending 21 Sep 2013 12 2 10
label: udp://tracker.openbittorrent.com:80/announce||active||21 Sep 2013||6||1||10
udp://tracker.istole.it:80/announce||active||21 Sep 2013||12||2||10
udp://tracker.publicbt.com:80/announce||active||21 Sep 2013||5||1||2
http://exodus.desync.com:6969/announce||blocked||21 Sep 2013||-||-||-
http://fr33dom.h33t.com:3310/announce||deleted||21 Sep 2013||-||-||-
udp://fr33domtracker.h33t.com:3310/announce||deleted||21 Sep 2013||-||-||-
udp://9.rarbg.me:2710/announce||pending||21 Sep 2013||7||1||10511
udp://ipv4.tracker.harry.lu:80/announce||pending||21 Sep 2013||12||2||10
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:
109 Virginia Ave Not For Sale - 3 3 2,092
207 Mouser St Not For Sale - - - -
207 Mouser St Not For Sale - 2 1 1,218
114 W Main St Not For Sale - 3 2 1,880
111 W Main St Not For Sale - 4 2 2,604
306 W Main St Not For Sale - 2 2 1,610
107 W Main St Not For Sale - 4 2 4,348
314 W Main St Not For Sale - 3 2 1,966
301 Mouser St Not For Sale - - - -
302 Mouser St Not For Sale - 2 1 912



TEGRA_table_txt_file: table_3727.txt
TEGRA_TABLE_TEXT: 109 Virginia Ave Not For Sale - 3 3 2,092
207 Mouser St Not For Sale - - - -
207 Mouser St Not For Sale - 2 1 1,218
114 W Main St Not For Sale - 3 2 1,880
111 W Main St Not For Sale - 4 2 2,604
306 W Main St Not For Sale - 2 2 1,610
107 W Main St Not For Sale - 4 2 4,348
314 W Main St Not For Sale - 3 2 1,966
301 Mouser St Not For Sale - - - -
302 Mouser St Not For Sale - 2 1 912
label: 109 Virginia Ave||Not For Sale||-||3||3||2,092
207 Mouser St||Not For Sale||-||-||-||-
207 Mouser St||Not For Sale||-||2||1||1,218
114 W Main St||Not For Sale||-||3||2||1,880
111 W Main St||Not For Sale||-||4||2||2,604
306 W Main St||Not For Sale||-||2||2||1,610
107 W Main St||Not For Sale||-||4||2||4,348
314 W Main St||Not For Sale||-||3||2||1,966
301 Mouser St||Not For Sale||-||-||-||-
302 Mouser St||Not For Sale||-||2||1||912
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:
Net Sales 18,400 18,400 13,800 18,400 18,400
#x00A0;     
Cost of Goods Sold 50% of net sales 50% of net sales 50% of net sales 50% of net sales 50% of net sales
#x00A0;     
Gross Margin 9,200 9,200 6,900 9,200 9,200
#x00A0;     
Expenses     
Salaries 4,000 4,000 4,000 4,000 4,000
Advertising Expenses 800 800 600 300 300
Business Insurance 59 59 59 59 59
Telephone 170 170 170 170 170
Membership/Subscriptions 200 0 0 0 0
Rent/Utilities 700 700 700 700 700
Accountant 140 140 140 140 140
Travel, Entertainment, Gifts 200 200 200 200 200
Misc. Expenses 100 100 100 100 100
Donations 100 100 100 100 100
#x00A0;     
Total Operating Expenses 6,469 6,269 6,069 5,769 5,769
#x00A0;     
Net Operating Profit 2,731 2,931 831 3,431 3,431



TEGRA_table_txt_file: table_7016.txt
TEGRA_TABLE_TEXT: Net Sales 18,400 18,400 13,800 18,400 18,400
#x00A0;     
Cost of Goods Sold 50% of net sales 50% of net sales 50% of net sales 50% of net sales 50% of net sales
#x00A0;     
Gross Margin 9,200 9,200 6,900 9,200 9,200
#x00A0;     
Expenses     
Salaries 4,000 4,000 4,000 4,000 4,000
Advertising Expenses 800 800 600 300 300
Business Insurance 59 59 59 59 59
Telephone 170 170 170 170 170
Membership/Subscriptions 200 0 0 0 0
Rent/Utilities 700 700 700 700 700
Accountant 140 140 140 140 140
Travel, Entertainment, Gifts 200 200 200 200 200
Misc. Expenses 100 100 100 100 100
Donations 100 100 100 100 100
#x00A0;     
Total Operating Expenses 6,469 6,269 6,069 5,769 5,769
#x00A0;     
Net Operating Profit 2,731 2,931 831 3,431 3,431
label: Net Sales||18,400||18,400||13,800||18,400||18,400
#x00A0;||||||||||
Cost of Goods Sold||50% of net sales||50% of net sales||50% of net sales||50% of net sales||50% of net sales
#x00A0;||||||||||
Gross Margin||9,200||9,200||6,900||9,200||9,200
#x00A0;||||||||||
Expenses||||||||||
Salaries||4,000||4,000||4,000||4,000||4,000
Advertising Expenses||800||800||600||300||300
Business Insurance||59||59||59||59||59
Telephone||170||170||170||170||170
Membership/Subscriptions||200||0||0||0||0
Rent/Utilities||700||700||700||700||700
Accountant||140||140||140||140||140
Travel, Entertainment, Gifts||200||200||200||200||200
Misc. Expenses||100||100||100||100||100
Donations||100||100||100||100||100
#x00A0;||||||||||
Total Operating Expenses||6,469||6,269||6,069||5,769||5,769
#x00A0;||||||||||
Net Operating Profit||2,731||2,931||831||3,431||3,431
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:
08.06. - 22.06. &euro;235 &euro;185
22.06. - 29.06. &euro;255 &euro;235
29.06. - 06.07. &euro;275 &euro;255
06.07. - 13.07. &euro;295 &euro;265
13.07. - 20.07. n/a n/a
20.07. - 27.07. n/a n/a
27.07. - 03.08 n/a n/a
03.08. - 17.08. n/a n/a
11.08. - 18.08. n/a n/a
17.08. - 24.08. &euro;295 &euro;245



TEGRA_table_txt_file: table_236.txt
TEGRA_TABLE_TEXT: 08.06. - 22.06. &euro;235 &euro;185
22.06. - 29.06. &euro;255 &euro;235
29.06. - 06.07. &euro;275 &euro;255
06.07. - 13.07. &euro;295 &euro;265
13.07. - 20.07. n/a n/a
20.07. - 27.07. n/a n/a
27.07. - 03.08 n/a n/a
03.08. - 17.08. n/a n/a
11.08. - 18.08. n/a n/a
17.08. - 24.08. &euro;295 &euro;245
label: 08.06. - 22.06.||&euro;235||&euro;185
22.06. - 29.06.||&euro;255||&euro;235
29.06. - 06.07.||&euro;275||&euro;255
06.07. - 13.07.||&euro;295||&euro;265
13.07. - 20.07.||n/a||n/a
20.07. - 27.07.||n/a||n/a
27.07. - 03.08||n/a||n/a
03.08. - 17.08.||n/a||n/a
11.08. - 18.08.||n/a||n/a
17.08. - 24.08.||&euro;295||&euro;245
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:
Aged 0 to 5 Years 7.91123370110331% 9.047230232745521% 9.21268693255895%
Aged 6 to 11 Years 7.622868605817453% 8.552990314293584% 8.785993578567854%
Aged 12 to 17 Years 8.274824473420262% 8.459768434977974% 9.032144677327942%
Aged 18 to 24 Years 17.87863590772317% 8.874441839853244% 10.373600352642947%
Aged 25 to 34 Years 10.055165496489469% 13.740319446552476% 13.753458246361888%
Aged 35 to 44 Years 13.00150451354062% 14.982348741645165% 13.915054159335064%
Aged 45 to 54 Years 14.957372116349047% 14.559805348968377% 14.196674367550758%
Aged 55 to 64 Years 10.406218655967905% 10.928368120553223% 10.489492318092609%
Aged 65 to 74 Years 4.826980942828485% 5.943503793521502% 5.694332764233268%
Aged 75 to 84 Years 3.6860581745235708% 3.6459826522983176% 3.3881487611993375%



TEGRA_table_txt_file: table_5991.txt
TEGRA_TABLE_TEXT: Aged 0 to 5 Years 7.91123370110331% 9.047230232745521% 9.21268693255895%
Aged 6 to 11 Years 7.622868605817453% 8.552990314293584% 8.785993578567854%
Aged 12 to 17 Years 8.274824473420262% 8.459768434977974% 9.032144677327942%
Aged 18 to 24 Years 17.87863590772317% 8.874441839853244% 10.373600352642947%
Aged 25 to 34 Years 10.055165496489469% 13.740319446552476% 13.753458246361888%
Aged 35 to 44 Years 13.00150451354062% 14.982348741645165% 13.915054159335064%
Aged 45 to 54 Years 14.957372116349047% 14.559805348968377% 14.196674367550758%
Aged 55 to 64 Years 10.406218655967905% 10.928368120553223% 10.489492318092609%
Aged 65 to 74 Years 4.826980942828485% 5.943503793521502% 5.694332764233268%
Aged 75 to 84 Years 3.6860581745235708% 3.6459826522983176% 3.3881487611993375%
label: Aged 0 to 5 Years||7.91123370110331%||9.047230232745521%||9.21268693255895%
Aged 6 to 11 Years||7.622868605817453%||8.552990314293584%||8.785993578567854%
Aged 12 to 17 Years||8.274824473420262%||8.459768434977974%||9.032144677327942%
Aged 18 to 24 Years||17.87863590772317%||8.874441839853244%||10.373600352642947%
Aged 25 to 34 Years||10.055165496489469%||13.740319446552476%||13.753458246361888%
Aged 35 to 44 Years||13.00150451354062%||14.982348741645165%||13.915054159335064%
Aged 45 to 54 Years||14.957372116349047%||14.559805348968377%||14.196674367550758%
Aged 55 to 64 Years||10.406218655967905%||10.928368120553223%||10.489492318092609%
Aged 65 to 74 Years||4.826980942828485%||5.943503793521502%||5.694332764233268%
Aged 75 to 84 Years||3.6860581745235708%||3.6459826522983176%||3.3881487611993375%
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
5 49 15.70 J 1/2
5 1/2 51 16.10 L
6 52 16.51 M
6 1/2 53 16.92 N
7 55 17.35 O
7 1/2 56 17.75 P
8 57 18.19 Q
8 1/2 58 18.53 Q 1/2
9 59 18.89 R 1/2
9 1/2 61 19.41 S 1/2
10 62 19.84 T 1/2
10 1/2 63 20.20 U 1/2
11 65 20.68 V 1/2
11 1/2 66 21.08 W 1/2
12 68 21.49 Y
12 1/2 69 21.89 Z
13 70 22.33 Z 1/2



TEGRA_table_txt_file: table_3289.txt
TEGRA_TABLE_TEXT: 5 49 15.70 J 1/2
5 1/2 51 16.10 L
6 52 16.51 M
6 1/2 53 16.92 N
7 55 17.35 O
7 1/2 56 17.75 P
8 57 18.19 Q
8 1/2 58 18.53 Q 1/2
9 59 18.89 R 1/2
9 1/2 61 19.41 S 1/2
10 62 19.84 T 1/2
10 1/2 63 20.20 U 1/2
11 65 20.68 V 1/2
11 1/2 66 21.08 W 1/2
12 68 21.49 Y
12 1/2 69 21.89 Z
13 70 22.33 Z 1/2
label: 5||49||15.70||J 1/2
5 1/2||51||16.10||L
6||52||16.51||M
6 1/2||53||16.92||N
7||55||17.35||O
7 1/2||56||17.75||P
8||57||18.19||Q
8 1/2||58||18.53||Q 1/2
9||59||18.89||R 1/2
9 1/2||61||19.41||S 1/2
10||62||19.84||T 1/2
10 1/2||63||20.20||U 1/2
11||65||20.68||V 1/2
11 1/2||66||21.08||W 1/2
12||68||21.49||Y
12 1/2||69||21.89||Z
13||70||22.33||Z 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:
Daniela Nane 7 1 12 42 12/09/10
Daniela 33 0 0 628 02/27/13
Daniela Grassini 0 2 0 0 01/16/10
Daniela Preus 0 0 0 0 08/19/10
Daniela Doria 15 2 0 0 03/22/12
Daniela Schulz 0 0 0 18 08/19/10
Daniela Gregnanin 0 0 0 0 06/22/10
Daniela Preuss 1 0 0 0 10/26/12
Daniela Schreiber 3 0 0 0 03/14/08
Daniela Dib 2 1 0 0 10/26/12
Daniela Surina 0 1 0 0 07/02/10
Daniela Kanitz 0 1 0 0 08/19/10
Daniela Virtzer 0 1 0 0 01/16/10
Daniela Freitas 219 0 0 57 02/27/13
Daniele Donato 31 0 0 0 10/26/12
Daniele Evenou 0 1 0 0 06/16/10
Daniele Suzuki 23 0 0 0 10/26/12
Daniele Troeger 0 1 0 0 08/19/11



TEGRA_table_txt_file: table_1032.txt
TEGRA_TABLE_TEXT: Daniela Nane 7 1 12 42 12/09/10
Daniela 33 0 0 628 02/27/13
Daniela Grassini 0 2 0 0 01/16/10
Daniela Preus 0 0 0 0 08/19/10
Daniela Doria 15 2 0 0 03/22/12
Daniela Schulz 0 0 0 18 08/19/10
Daniela Gregnanin 0 0 0 0 06/22/10
Daniela Preuss 1 0 0 0 10/26/12
Daniela Schreiber 3 0 0 0 03/14/08
Daniela Dib 2 1 0 0 10/26/12
Daniela Surina 0 1 0 0 07/02/10
Daniela Kanitz 0 1 0 0 08/19/10
Daniela Virtzer 0 1 0 0 01/16/10
Daniela Freitas 219 0 0 57 02/27/13
Daniele Donato 31 0 0 0 10/26/12
Daniele Evenou 0 1 0 0 06/16/10
Daniele Suzuki 23 0 0 0 10/26/12
Daniele Troeger 0 1 0 0 08/19/11
label: Daniela Nane||7||1||12||42||12/09/10
Daniela||33||0||0||628||02/27/13
Daniela Grassini||0||2||0||0||01/16/10
Daniela Preus||0||0||0||0||08/19/10
Daniela Doria||15||2||0||0||03/22/12
Daniela Schulz||0||0||0||18||08/19/10
Daniela Gregnanin||0||0||0||0||06/22/10
Daniela Preuss||1||0||0||0||10/26/12
Daniela Schreiber||3||0||0||0||03/14/08
Daniela Dib||2||1||0||0||10/26/12
Daniela Surina||0||1||0||0||07/02/10
Daniela Kanitz||0||1||0||0||08/19/10
Daniela Virtzer||0||1||0||0||01/16/10
Daniela Freitas||219||0||0||57||02/27/13
Daniele Donato||31||0||0||0||10/26/12
Daniele Evenou||0||1||0||0||06/16/10
Daniele Suzuki||23||0||0||0||10/26/12
Daniele Troeger||0||1||0||0||08/19/11
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
2 Cus Caserta 49 24 15 4 5
3 Real Caivanese 47 24 14 5 5
4 Maddaloni 40 24 12 4 8
5 Benevento Futsal 33 24 9 6 9
6 Futsal Casilinum 33 24 10 3 11
7 Leoni Acerra 32 24 9 5 10
8 Volturno Futsal 31 24 9 4 11
9 Real Nise 29 24 8 5 11
10 Junior Domitia 29 23 8 5 10
11 V.Telese 23 24 7 2 15
12 Sp. Solopaca 19 23 6 3 14



TEGRA_table_txt_file: table_3330.txt
TEGRA_TABLE_TEXT: 2 Cus Caserta 49 24 15 4 5
3 Real Caivanese 47 24 14 5 5
4 Maddaloni 40 24 12 4 8
5 Benevento Futsal 33 24 9 6 9
6 Futsal Casilinum 33 24 10 3 11
7 Leoni Acerra 32 24 9 5 10
8 Volturno Futsal 31 24 9 4 11
9 Real Nise 29 24 8 5 11
10 Junior Domitia 29 23 8 5 10
11 V.Telese 23 24 7 2 15
12 Sp. Solopaca 19 23 6 3 14
label: 2||Cus Caserta||49||24||15||4||5
3||Real Caivanese||47||24||14||5||5
4||Maddaloni||40||24||12||4||8
5||Benevento Futsal||33||24||9||6||9
6||Futsal Casilinum||33||24||10||3||11
7||Leoni Acerra||32||24||9||5||10
8||Volturno Futsal||31||24||9||4||11
9||Real Nise||29||24||8||5||11
10||Junior Domitia||29||23||8||5||10
11||V.Telese||23||24||7||2||15
12||Sp. Solopaca||19||23||6||3||14
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
B 1 0.2 24E6611 145.2
V 2 2.2 27611 215.2
V 1 5.1 96A2N 32.3
B 1 1.3 46111 65.4
A 2 0.0 24E6611 12.2
C 3 3.8 46111 156.2
C 2 12.6 030 564.2
F 2 324.1 46111 238.9
C 1 0.0 24E6613 23.8
V 2 123.2 29000 546.4
B 1 9.8 66600 54.2
A 1 7.5 661U1 56.7
B 1 4.5 96000 23.1
B 1 4.4 29000 4.2
F 2 6.5 24E6611 12.3
B 1 33.5 96A2N 21.4
B 1 2.3 24E6611 45.6
C 1 1.0 030 218.4
B 2 3.6 030 456.2
B 1 3.3 661U1 984.0
B 2 7.2 96000 45.1
F 1 2.3 24E6611 231.0



TEGRA_table_txt_file: table_8168.txt
TEGRA_TABLE_TEXT: B 1 0.2 24E6611 145.2
V 2 2.2 27611 215.2
V 1 5.1 96A2N 32.3
B 1 1.3 46111 65.4
A 2 0.0 24E6611 12.2
C 3 3.8 46111 156.2
C 2 12.6 030 564.2
F 2 324.1 46111 238.9
C 1 0.0 24E6613 23.8
V 2 123.2 29000 546.4
B 1 9.8 66600 54.2
A 1 7.5 661U1 56.7
B 1 4.5 96000 23.1
B 1 4.4 29000 4.2
F 2 6.5 24E6611 12.3
B 1 33.5 96A2N 21.4
B 1 2.3 24E6611 45.6
C 1 1.0 030 218.4
B 2 3.6 030 456.2
B 1 3.3 661U1 984.0
B 2 7.2 96000 45.1
F 1 2.3 24E6611 231.0
label: B||1||0.2||24E6611||145.2
V||2||2.2||27611||215.2
V||1||5.1||96A2N||32.3
B||1||1.3||46111||65.4
A||2||0.0||24E6611||12.2
C||3||3.8||46111||156.2
C||2||12.6||030||564.2
F||2||324.1||46111||238.9
C||1||0.0||24E6613||23.8
V||2||123.2||29000||546.4
B||1||9.8||66600||54.2
A||1||7.5||661U1||56.7
B||1||4.5||96000||23.1
B||1||4.4||29000||4.2
F||2||6.5||24E6611||12.3
B||1||33.5||96A2N||21.4
B||1||2.3||24E6611||45.6
C||1||1.0||030||218.4
B||2||3.6||030||456.2
B||1||3.3||661U1||984.0
B||2||7.2||96000||45.1
F||1||2.3||24E6611||231.0
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:
208 Pioneer Dr, Smyrna TN 0.34 Single-Family Home $89,500 06/20/13 - 1 1,050
101 Crockett Ct, Smyrna TN 0.54 Single-Family Home $105,000 03/20/13 - 2 1,134
122 Rice Cir, Smyrna TN 0.82 Single-Family Home $82,500 07/25/13 - 1.5 1,195
115 Luckett Pl, Smyrna TN 0.83 Single-Family Home $75,000 03/04/13 - 2 1,266
104 Windellwood Cir, Smyrna TN 0.86 Single-Family Home $90,000 05/24/13 - 1.5 1,134
401 Breckinridge Dr, Smyrna TN 0.98 Single-Family Home $87,100 03/19/13 - 2 1,125
408 Wheeler Ave, Smyrna TN 0.99 Single-Family Home $77,000 06/06/13 - 1.5 1,116
405 Breckinridge Dr, Smyrna TN 1.00 Single-Family Home $96,500 06/11/13 - 1 1,202



TEGRA_table_txt_file: table_2067.txt
TEGRA_TABLE_TEXT: 208 Pioneer Dr, Smyrna TN 0.34 Single-Family Home $89,500 06/20/13 - 1 1,050
101 Crockett Ct, Smyrna TN 0.54 Single-Family Home $105,000 03/20/13 - 2 1,134
122 Rice Cir, Smyrna TN 0.82 Single-Family Home $82,500 07/25/13 - 1.5 1,195
115 Luckett Pl, Smyrna TN 0.83 Single-Family Home $75,000 03/04/13 - 2 1,266
104 Windellwood Cir, Smyrna TN 0.86 Single-Family Home $90,000 05/24/13 - 1.5 1,134
401 Breckinridge Dr, Smyrna TN 0.98 Single-Family Home $87,100 03/19/13 - 2 1,125
408 Wheeler Ave, Smyrna TN 0.99 Single-Family Home $77,000 06/06/13 - 1.5 1,116
405 Breckinridge Dr, Smyrna TN 1.00 Single-Family Home $96,500 06/11/13 - 1 1,202
label: 208 Pioneer Dr, Smyrna TN||0.34||Single-Family Home||$89,500||06/20/13||-||1||1,050
101 Crockett Ct, Smyrna TN||0.54||Single-Family Home||$105,000||03/20/13||-||2||1,134
122 Rice Cir, Smyrna TN||0.82||Single-Family Home||$82,500||07/25/13||-||1.5||1,195
115 Luckett Pl, Smyrna TN||0.83||Single-Family Home||$75,000||03/04/13||-||2||1,266
104 Windellwood Cir, Smyrna TN||0.86||Single-Family Home||$90,000||05/24/13||-||1.5||1,134
401 Breckinridge Dr, Smyrna TN||0.98||Single-Family Home||$87,100||03/19/13||-||2||1,125
408 Wheeler Ave, Smyrna TN||0.99||Single-Family Home||$77,000||06/06/13||-||1.5||1,116
405 Breckinridge Dr, Smyrna TN||1.00||Single-Family Home||$96,500||06/11/13||-||1||1,202
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:
41 30 De Tour Village 5 -1
42 25 Escanaba 6 -4
41 29 Grand Marais 5 -2
38 25 Houghton 3 -4
41 23 Iron Mountain 5 -5
37 23 Ironwood 3 -5
41 28 Manistique 5 -2
40 29 Marquette 5 -2
40 28 Munising 4 -2
40 28 Sault Ste Marie 5 -2
42 29 Seney National Wildlife Refuge 6 -2
39 24 Tahquamenon Falls Park 4 -4



TEGRA_table_txt_file: table_7693.txt
TEGRA_TABLE_TEXT: 41 30 De Tour Village 5 -1
42 25 Escanaba 6 -4
41 29 Grand Marais 5 -2
38 25 Houghton 3 -4
41 23 Iron Mountain 5 -5
37 23 Ironwood 3 -5
41 28 Manistique 5 -2
40 29 Marquette 5 -2
40 28 Munising 4 -2
40 28 Sault Ste Marie 5 -2
42 29 Seney National Wildlife Refuge 6 -2
39 24 Tahquamenon Falls Park 4 -4
label: 41||30||De Tour Village||5||-1
42||25||Escanaba||6||-4
41||29||Grand Marais||5||-2
38||25||Houghton||3||-4
41||23||Iron Mountain||5||-5
37||23||Ironwood||3||-5
41||28||Manistique||5||-2
40||29||Marquette||5||-2
40||28||Munising||4||-2
40||28||Sault Ste Marie||5||-2
42||29||Seney National Wildlife Refuge||6||-2
39||24||Tahquamenon Falls Park||4||-4
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
2 Coreia do Sul 10 8 10 28
3 China 9 11 13 33
4 Cazaquistão 7 7 6 20
5 Líbano 1 1  2
6 Coreia do Norte  1 1 2
7 Uzbequistão   1 1



TEGRA_table_txt_file: table_1094.txt
TEGRA_TABLE_TEXT: 2 Coreia do Sul 10 8 10 28
3 China 9 11 13 33
4 Cazaquistão 7 7 6 20
5 Líbano 1 1  2
6 Coreia do Norte  1 1 2
7 Uzbequistão   1 1
label: 2||Coreia do Sul||10||8||10||28
3||China||9||11||13||33
4||Cazaquistão||7||7||6||20
5||Líbano||1||1||||2
6||Coreia do Norte||||1||1||2
7||Uzbequistão||||||1||1
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
 Options Outstanding Price Range Weighted Average Price
Balance at January 1, 2007 5,372,708 $7.50 - $38.57 $14.32
Granted 140,000 41.08 41.08
Exercised (883,107) 7.50 - 17.55 12.78
Forfeited (1,000) 14.01 14.01
Balance at December 31, 2007 4,628,601 7.50 - 41.08 15.42
Granted 317,500 28.58 - 53.83 30.97
Exercised (763,026) 7.50  17.55 10.33
Balance at December 31, 2008 4,183,075 7.50 - 53.83 17.53
Granted 1,004,000 31.06 - 35.38 35.01
Exercised (471,582) 7.50 - 14.01 9.19
Forfeited (60,000) 28.58 - 35.38 29.15



TEGRA_table_txt_file: table_8367.txt
TEGRA_TABLE_TEXT:  Options Outstanding Price Range Weighted Average Price
Balance at January 1, 2007 5,372,708 $7.50 - $38.57 $14.32
Granted 140,000 41.08 41.08
Exercised (883,107) 7.50 - 17.55 12.78
Forfeited (1,000) 14.01 14.01
Balance at December 31, 2007 4,628,601 7.50 - 41.08 15.42
Granted 317,500 28.58 - 53.83 30.97
Exercised (763,026) 7.50  17.55 10.33
Balance at December 31, 2008 4,183,075 7.50 - 53.83 17.53
Granted 1,004,000 31.06 - 35.38 35.01
Exercised (471,582) 7.50 - 14.01 9.19
Forfeited (60,000) 28.58 - 35.38 29.15
label: ||Options Outstanding||Price Range||Weighted Average Price
Balance at January 1, 2007||5,372,708||$7.50 - $38.57||$14.32
Granted||140,000||41.08||41.08
Exercised||(883,107)||7.50 - 17.55||12.78
Forfeited||(1,000)||14.01||14.01
Balance at December 31, 2007||4,628,601||7.50 - 41.08||15.42
Granted||317,500||28.58 - 53.83||30.97
Exercised||(763,026)||7.50  17.55||10.33
Balance at December 31, 2008||4,183,075||7.50 - 53.83||17.53
Granted||1,004,000||31.06 - 35.38||35.01
Exercised||(471,582)||7.50 - 14.01||9.19
Forfeited||(60,000)||28.58 - 35.38||29.15
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:
1995 3,140,280 23,790 Sichuan Quanxing (40,182)
1996 3,203,122 24,266 Shandong Luneng (42,272)
1997 2,801,100 21,220 Sichuan Quanxing (39,180)
1998 3,883,000 21,335 Shanghai Shenhua (39,713)
1999 3,623,500 19,909 Sichuan Quanxing (28,150)
2000 3,622,000 19,901 Dalian Shide (26,154)
2001 3,329,872 18,296 Shanxi Guoli (38,700)
2002 3,146,640 14,984 Beijing Guoan (32,429)
2003 3,719,700 17,710 Dalian Shide (30,500)
2004 1,430,600 10,838 Shandong Luneng (23,636)
2005 1,871,700 10,284 Shandong Luneng(26,000)
2006 2,228,300 10,611 Shandong Luneng (30,679)
2007 3,173,500 15,112 Shaanxi Chanba (24,643)
2008 3,065,280 13,444 Shandong Luneng (26,501)
2009 3,854,115 16,059 Beijing Guoan (36,805)



TEGRA_table_txt_file: table_3837.txt
TEGRA_TABLE_TEXT: 1995 3,140,280 23,790 Sichuan Quanxing (40,182)
1996 3,203,122 24,266 Shandong Luneng (42,272)
1997 2,801,100 21,220 Sichuan Quanxing (39,180)
1998 3,883,000 21,335 Shanghai Shenhua (39,713)
1999 3,623,500 19,909 Sichuan Quanxing (28,150)
2000 3,622,000 19,901 Dalian Shide (26,154)
2001 3,329,872 18,296 Shanxi Guoli (38,700)
2002 3,146,640 14,984 Beijing Guoan (32,429)
2003 3,719,700 17,710 Dalian Shide (30,500)
2004 1,430,600 10,838 Shandong Luneng (23,636)
2005 1,871,700 10,284 Shandong Luneng(26,000)
2006 2,228,300 10,611 Shandong Luneng (30,679)
2007 3,173,500 15,112 Shaanxi Chanba (24,643)
2008 3,065,280 13,444 Shandong Luneng (26,501)
2009 3,854,115 16,059 Beijing Guoan (36,805)
label: 1995||3,140,280||23,790||Sichuan Quanxing (40,182)
1996||3,203,122||24,266||Shandong Luneng (42,272)
1997||2,801,100||21,220||Sichuan Quanxing (39,180)
1998||3,883,000||21,335||Shanghai Shenhua (39,713)
1999||3,623,500||19,909||Sichuan Quanxing (28,150)
2000||3,622,000||19,901||Dalian Shide (26,154)
2001||3,329,872||18,296||Shanxi Guoli (38,700)
2002||3,146,640||14,984||Beijing Guoan (32,429)
2003||3,719,700||17,710||Dalian Shide (30,500)
2004||1,430,600||10,838||Shandong Luneng (23,636)
2005||1,871,700||10,284||Shandong Luneng(26,000)
2006||2,228,300||10,611||Shandong Luneng (30,679)
2007||3,173,500||15,112||Shaanxi Chanba (24,643)
2008||3,065,280||13,444||Shandong Luneng (26,501)
2009||3,854,115||16,059||Beijing Guoan (36,805)
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 Borussia Dortmund 9 7 1 1 22 - 7 22
3 Bayer 04 Leverkusen 9 7 1 1 20 - 9 22
4 Hertha Berlin 9 4 3 2 15 - 9 15
5 Schalke 04 9 4 2 3 17 - 19 14
6 Borussia Mönchengladbach 9 4 1 4 19 - 14 13
7 Hannover 96 9 4 1 4 11 - 12 13
8 Stuttgart 9 3 3 3 19 - 13 12
9 Wolfsburg 9 4 0 5 11 - 12 12
10 Werder Bremen 9 3 3 3 9 - 12 12
11 1899 Hoffenheim 9 2 4 3 21 - 22 10
12 Eintracht Frankfurt 9 2 4 3 12 - 14 10
13 Augsburg 9 3 1 5 10 - 17 10
14 Mainz 05 9 3 1 5 13 - 21 10
15 Hamburg 9 2 3 4 20 - 22 9
16 Nürnberg 9 0 6 3 10 - 18 6
17 Freiburg 9 0 5 4 9 - 18 5



TEGRA_table_txt_file: table_9777.txt
TEGRA_TABLE_TEXT: 2 Borussia Dortmund 9 7 1 1 22 - 7 22
3 Bayer 04 Leverkusen 9 7 1 1 20 - 9 22
4 Hertha Berlin 9 4 3 2 15 - 9 15
5 Schalke 04 9 4 2 3 17 - 19 14
6 Borussia Mönchengladbach 9 4 1 4 19 - 14 13
7 Hannover 96 9 4 1 4 11 - 12 13
8 Stuttgart 9 3 3 3 19 - 13 12
9 Wolfsburg 9 4 0 5 11 - 12 12
10 Werder Bremen 9 3 3 3 9 - 12 12
11 1899 Hoffenheim 9 2 4 3 21 - 22 10
12 Eintracht Frankfurt 9 2 4 3 12 - 14 10
13 Augsburg 9 3 1 5 10 - 17 10
14 Mainz 05 9 3 1 5 13 - 21 10
15 Hamburg 9 2 3 4 20 - 22 9
16 Nürnberg 9 0 6 3 10 - 18 6
17 Freiburg 9 0 5 4 9 - 18 5
label: 2||Borussia Dortmund||9||7||1||1||22 - 7||22
3||Bayer 04 Leverkusen||9||7||1||1||20 - 9||22
4||Hertha Berlin||9||4||3||2||15 - 9||15
5||Schalke 04||9||4||2||3||17 - 19||14
6||Borussia Mönchengladbach||9||4||1||4||19 - 14||13
7||Hannover 96||9||4||1||4||11 - 12||13
8||Stuttgart||9||3||3||3||19 - 13||12
9||Wolfsburg||9||4||0||5||11 - 12||12
10||Werder Bremen||9||3||3||3||9 - 12||12
11||1899 Hoffenheim||9||2||4||3||21 - 22||10
12||Eintracht Frankfurt||9||2||4||3||12 - 14||10
13||Augsburg||9||3||1||5||10 - 17||10
14||Mainz 05||9||3||1||5||13 - 21||10
15||Hamburg||9||2||3||4||20 - 22||9
16||Nürnberg||9||0||6||3||10 - 18||6
17||Freiburg||9||0||5||4||9 - 18||5
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:
Krajnyak Krinock names Jack Krinock 7 Apr 2001 8:00PM GMT
Re: Krajnyak Krinock names errehc 22 Jun 2001 12:52PM GMT
Re: Krajnyak Krinock names Jack Krinock 19 Sep 2001 8:37AM GMT
Re: Krajnyak Krinock names Diane Hassan 10 Sep 2002 2:22AM GMT
Re: Krajnyak Krinock names John Krinock (Krajnak,Krajnyak) 10 Sep 2002 3:34AM GMT
Re: Krajnyak Krinock names Diane Hassan 14 Mar 2003 8:27PM GMT
Re: Krajnyak Krinock names Diane Hassan 3 Apr 2003 2:51AM GMT
Re: Krajnyak Krinock names Cherre 11 Sep 2002 3:47AM GMT



TEGRA_table_txt_file: table_3587.txt
TEGRA_TABLE_TEXT: Krajnyak Krinock names Jack Krinock 7 Apr 2001 8:00PM GMT
Re: Krajnyak Krinock names errehc 22 Jun 2001 12:52PM GMT
Re: Krajnyak Krinock names Jack Krinock 19 Sep 2001 8:37AM GMT
Re: Krajnyak Krinock names Diane Hassan 10 Sep 2002 2:22AM GMT
Re: Krajnyak Krinock names John Krinock (Krajnak,Krajnyak) 10 Sep 2002 3:34AM GMT
Re: Krajnyak Krinock names Diane Hassan 14 Mar 2003 8:27PM GMT
Re: Krajnyak Krinock names Diane Hassan 3 Apr 2003 2:51AM GMT
Re: Krajnyak Krinock names Cherre 11 Sep 2002 3:47AM GMT
label: Krajnyak Krinock names||Jack Krinock||7 Apr 2001 8:00PM GMT
Re: Krajnyak Krinock names||errehc||22 Jun 2001 12:52PM GMT
Re: Krajnyak Krinock names||Jack Krinock||19 Sep 2001 8:37AM GMT
Re: Krajnyak Krinock names||Diane Hassan||10 Sep 2002 2:22AM GMT
Re: Krajnyak Krinock names||John Krinock (Krajnak,Krajnyak)||10 Sep 2002 3:34AM GMT
Re: Krajnyak Krinock names||Diane Hassan||14 Mar 2003 8:27PM GMT
Re: Krajnyak Krinock names||Diane Hassan||3 Apr 2003 2:51AM GMT
Re: Krajnyak Krinock names||Cherre||11 Sep 2002 3:47AM GMT
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:
Estado de producción Preiniciador Iniciador Crecimiento Desarrollo Engorde Gestación/ Lactancia
Proteína C.% 20.0 18.0 17.0 16 14 15
ED Mcal/ Kg. 3.4 3.4 3.3 3.3 3.3 3.0
EM Mcal/kg 2.9 2.8 2.7 2.7 2.7 2.5
TDN % 80.0 78.0 78.0 78.0 78.0 69.0
Calcio % 0.82 0.54 0.51 0.55 0.55 0.37
Fósforo % 0.38 0.24 0.24 0.28 0.28 0.26



TEGRA_table_txt_file: table_6606.txt
TEGRA_TABLE_TEXT: Estado de producción Preiniciador Iniciador Crecimiento Desarrollo Engorde Gestación/ Lactancia
Proteína C.% 20.0 18.0 17.0 16 14 15
ED Mcal/ Kg. 3.4 3.4 3.3 3.3 3.3 3.0
EM Mcal/kg 2.9 2.8 2.7 2.7 2.7 2.5
TDN % 80.0 78.0 78.0 78.0 78.0 69.0
Calcio % 0.82 0.54 0.51 0.55 0.55 0.37
Fósforo % 0.38 0.24 0.24 0.28 0.28 0.26
label: Estado de producción||Preiniciador||Iniciador||Crecimiento||Desarrollo||Engorde||Gestación/ Lactancia
Proteína C.%||20.0||18.0||17.0||16||14||15
ED Mcal/ Kg.||3.4||3.4||3.3||3.3||3.3||3.0
EM Mcal/kg||2.9||2.8||2.7||2.7||2.7||2.5
TDN %||80.0||78.0||78.0||78.0||78.0||69.0
Calcio %||0.82||0.54||0.51||0.55||0.55||0.37
Fósforo %||0.38||0.24||0.24||0.28||0.28||0.26
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:
8 SHIPE, Gabrielle 59 45 0.76 173 .260
4 REYNOLDS, Allie 51 32 0.63 143 .224
2 STAPLETON, Caila 9 29 3.22 64 .453
12 HAPPEL, Lillie 55 22 0.40 114 .193
20 HARAF, Becca 56 19 0.34 93 .204
11 MCQUITERY, Nzea 53 5 0.09 23 .217
22 JEFFCOAT, Haley 48 4 0.08 52 .077
7 RACZ, Melissa 26 2 0.08 7 .286
1 ROLLINS, Kendle 58 1 0.02 16 .062
14 BABCOCK, Susan 57 1 0.02 20 .050
9 CORSON, Kate 8 1 0.12 12 .083
15 JOHNSON, Monica 34 0 0.00 8 .000
 LIBERTY............. 60 618 10.30 2158 .286



TEGRA_table_txt_file: table_1717.txt
TEGRA_TABLE_TEXT: 8 SHIPE, Gabrielle 59 45 0.76 173 .260
4 REYNOLDS, Allie 51 32 0.63 143 .224
2 STAPLETON, Caila 9 29 3.22 64 .453
12 HAPPEL, Lillie 55 22 0.40 114 .193
20 HARAF, Becca 56 19 0.34 93 .204
11 MCQUITERY, Nzea 53 5 0.09 23 .217
22 JEFFCOAT, Haley 48 4 0.08 52 .077
7 RACZ, Melissa 26 2 0.08 7 .286
1 ROLLINS, Kendle 58 1 0.02 16 .062
14 BABCOCK, Susan 57 1 0.02 20 .050
9 CORSON, Kate 8 1 0.12 12 .083
15 JOHNSON, Monica 34 0 0.00 8 .000
 LIBERTY............. 60 618 10.30 2158 .286
label: 8||SHIPE, Gabrielle||59||45||0.76||173||.260
4||REYNOLDS, Allie||51||32||0.63||143||.224
2||STAPLETON, Caila||9||29||3.22||64||.453
12||HAPPEL, Lillie||55||22||0.40||114||.193
20||HARAF, Becca||56||19||0.34||93||.204
11||MCQUITERY, Nzea||53||5||0.09||23||.217
22||JEFFCOAT, Haley||48||4||0.08||52||.077
7||RACZ, Melissa||26||2||0.08||7||.286
1||ROLLINS, Kendle||58||1||0.02||16||.062
14||BABCOCK, Susan||57||1||0.02||20||.050
9||CORSON, Kate||8||1||0.12||12||.083
15||JOHNSON, Monica||34||0||0.00||8||.000
||LIBERTY.............||60||618||10.30||2158||.286
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:
Wed., July 31 12-2 p.m. LIVE Swimming Finals Universal Sports
Thurs., Aug. 1 12-2:30 p.m. LIVE Swimming Finals Universal Sports
Fri., Aug. 2 12-2:30 p.m. LIVE Swimming Finals Universal Sports
Sat., Aug. 3 1-3 p.m. Swimming NBC
Sat., Aug. 3 9-11 p.m. Swimming (Re-air) Universal Sports
Sun., Aug. 4 4-6 p.m. Swimming NBC



TEGRA_table_txt_file: table_1686.txt
TEGRA_TABLE_TEXT: Wed., July 31 12-2 p.m. LIVE Swimming Finals Universal Sports
Thurs., Aug. 1 12-2:30 p.m. LIVE Swimming Finals Universal Sports
Fri., Aug. 2 12-2:30 p.m. LIVE Swimming Finals Universal Sports
Sat., Aug. 3 1-3 p.m. Swimming NBC
Sat., Aug. 3 9-11 p.m. Swimming (Re-air) Universal Sports
Sun., Aug. 4 4-6 p.m. Swimming NBC
label: Wed., July 31||12-2 p.m. LIVE||Swimming Finals||Universal Sports
Thurs., Aug. 1||12-2:30 p.m. LIVE||Swimming Finals||Universal Sports
Fri., Aug. 2||12-2:30 p.m. LIVE||Swimming Finals||Universal Sports
Sat., Aug. 3||1-3 p.m.||Swimming||NBC
Sat., Aug. 3||9-11 p.m.||Swimming (Re-air)||Universal Sports
Sun., Aug. 4||4-6 p.m.||Swimming||NBC