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:
Billion Dollar Gran Win Spins The Gaming Club Multiple Win Spins
Bingo Bango Boom Bingo Game Go Wild Casino 500 Times Your Stake
Cash n Curry Board Game Red Flush Casino 500 Times Your Stake
Chavin It Large Cash Ladder Casino La Vida 100 Times Your Stake
Cops and Robbers Board Game Grand Mondial 500 Times Your Stake
Deep Sea Dosh Pick A Win Quatro Casino 500 Times Your Stake
Dubya Money Multi Feature Players Palace Casino 500 Times Your Stake
Fire n Dice Win Spins Casino Share Multiple Win Spins
Game On Cash Ladder Ruby Fortune Casino 100 Times Your Stake



TEGRA_table_txt_file: table_9757.txt
TEGRA_TABLE_TEXT: Billion Dollar Gran Win Spins The Gaming Club Multiple Win Spins
Bingo Bango Boom Bingo Game Go Wild Casino 500 Times Your Stake
Cash n Curry Board Game Red Flush Casino 500 Times Your Stake
Chavin It Large Cash Ladder Casino La Vida 100 Times Your Stake
Cops and Robbers Board Game Grand Mondial 500 Times Your Stake
Deep Sea Dosh Pick A Win Quatro Casino 500 Times Your Stake
Dubya Money Multi Feature Players Palace Casino 500 Times Your Stake
Fire n Dice Win Spins Casino Share Multiple Win Spins
Game On Cash Ladder Ruby Fortune Casino 100 Times Your Stake
label: Billion Dollar Gran||Win Spins||The Gaming Club||Multiple Win Spins
Bingo Bango Boom||Bingo Game||Go Wild Casino||500 Times Your Stake
Cash n Curry||Board Game||Red Flush Casino||500 Times Your Stake
Chavin It Large||Cash Ladder||Casino La Vida||100 Times Your Stake
Cops and Robbers||Board Game||Grand Mondial||500 Times Your Stake
Deep Sea Dosh||Pick A Win||Quatro Casino||500 Times Your Stake
Dubya Money||Multi Feature||Players Palace Casino||500 Times Your Stake
Fire n Dice||Win Spins||Casino Share||Multiple Win Spins
Game On||Cash Ladder||Ruby Fortune Casino||100 Times Your Stake
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:
Februar 29 17 26 11
M&auml;rz 29 18 27 10
April 30 19 28 11
Mai 31 20 29 12
Juni 32 21 29 7
Juli 33 21 29 8
August 33 21 29 8
September 33 21 30 7
Oktober 32 20 29 10
November 31 19 28 14



TEGRA_table_txt_file: table_95.txt
TEGRA_TABLE_TEXT: Februar 29 17 26 11
M&auml;rz 29 18 27 10
April 30 19 28 11
Mai 31 20 29 12
Juni 32 21 29 7
Juli 33 21 29 8
August 33 21 29 8
September 33 21 30 7
Oktober 32 20 29 10
November 31 19 28 14
label: Februar||29||17||26||11
M&auml;rz||29||18||27||10
April||30||19||28||11
Mai||31||20||29||12
Juni||32||21||29||7
Juli||33||21||29||8
August||33||21||29||8
September||33||21||30||7
Oktober||32||20||29||10
November||31||19||28||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:
Weinberg, Olga, MD Pathology (Anatomical, Clinical) Providence
Weinberg, Marc, MD, FAHA Nephrology Providence
Weitberg, Alan, MD Hematology Oncology Boston
Welch, Elizabeth, MD Dermatology Providence
Whelan, Cathleen, MD Internal Medicine Bristol
Wilkel, Caroline, MD Dermatology East Greenwich
Wolf, Robert, MD General Imaging Providence
Wolfgang, Robert, DO Gastroenterology Cranston



TEGRA_table_txt_file: table_533.txt
TEGRA_TABLE_TEXT: Weinberg, Olga, MD Pathology (Anatomical, Clinical) Providence
Weinberg, Marc, MD, FAHA Nephrology Providence
Weitberg, Alan, MD Hematology Oncology Boston
Welch, Elizabeth, MD Dermatology Providence
Whelan, Cathleen, MD Internal Medicine Bristol
Wilkel, Caroline, MD Dermatology East Greenwich
Wolf, Robert, MD General Imaging Providence
Wolfgang, Robert, DO Gastroenterology Cranston
label: Weinberg, Olga, MD||Pathology (Anatomical, Clinical)||Providence
Weinberg, Marc, MD, FAHA||Nephrology||Providence
Weitberg, Alan, MD||Hematology Oncology||Boston
Welch, Elizabeth, MD||Dermatology||Providence
Whelan, Cathleen, MD||Internal Medicine||Bristol
Wilkel, Caroline, MD||Dermatology||East Greenwich
Wolf, Robert, MD||General Imaging||Providence
Wolfgang, Robert, DO||Gastroenterology||Cranston
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:
Alderman 1 Marla Smith 6730 Roberts Ave. 63133 314-802-7704
Alderman 1 Faye Millett 6548 Whitney Ave. 63133 314-725-3312
Alderman 2 Minnie Rhymes 1296 Purcell 63133 314-863-8845
Alderman 2 Emma J. Sims 1321 Milford 63133 314-862-0046
Alderman 3 Darline Crawley 1835 Ferguson Ave. 63133 314-721-8856
Alderman 3 Pauline Catmet 1854 Engleholm Ave. 63133 314-727-5165
City Clerk Fran Stevens 1420 Ferguson Ave. 63133 314-726-1200



TEGRA_table_txt_file: table_4149.txt
TEGRA_TABLE_TEXT: Alderman 1 Marla Smith 6730 Roberts Ave. 63133 314-802-7704
Alderman 1 Faye Millett 6548 Whitney Ave. 63133 314-725-3312
Alderman 2 Minnie Rhymes 1296 Purcell 63133 314-863-8845
Alderman 2 Emma J. Sims 1321 Milford 63133 314-862-0046
Alderman 3 Darline Crawley 1835 Ferguson Ave. 63133 314-721-8856
Alderman 3 Pauline Catmet 1854 Engleholm Ave. 63133 314-727-5165
City Clerk Fran Stevens 1420 Ferguson Ave. 63133 314-726-1200
label: Alderman 1||Marla Smith||6730 Roberts Ave.||63133||314-802-7704
Alderman 1||Faye Millett||6548 Whitney Ave.||63133||314-725-3312
Alderman 2||Minnie Rhymes||1296 Purcell||63133||314-863-8845
Alderman 2||Emma J. Sims||1321 Milford||63133||314-862-0046
Alderman 3||Darline Crawley||1835 Ferguson Ave.||63133||314-721-8856
Alderman 3||Pauline Catmet||1854 Engleholm Ave.||63133||314-727-5165
City Clerk||Fran Stevens||1420 Ferguson Ave.||63133||314-726-1200
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:
0 to 4 years 3,585 1,790 1,790
5 to 9 years 3,290 1,695 1,590
10 to 14 years 3,045 1,540 1,505
15 to 19 years 3,375 1,635 1,740
20 to 24 years 4,595 2,250 2,340
25 to 29 years 4,400 2,245 2,155
30 to 34 years 4,000 2,000 1,995
35 to 39 years 3,670 1,880 1,785
40 to 44 years 3,150 1,575 1,580
45 to 49 years 3,630 1,730 1,900
50 to 54 years 3,600 1,755 1,845
55 to 59 years 3,055 1,470 1,585
60 to 64 years 2,725 1,285 1,435
65 to 69 years 1,940 910 1,030
70 to 74 years 1,565 705 860
75 to 79 years 1,305 570 735
80 to 84 years 1,135 460 670
85 to 89 years 750 265 485
90 to 94 years 345 100 245
95 to 99 years 65 15 50
100 years and over 20 5 15



TEGRA_table_txt_file: table_352.txt
TEGRA_TABLE_TEXT: 0 to 4 years 3,585 1,790 1,790
5 to 9 years 3,290 1,695 1,590
10 to 14 years 3,045 1,540 1,505
15 to 19 years 3,375 1,635 1,740
20 to 24 years 4,595 2,250 2,340
25 to 29 years 4,400 2,245 2,155
30 to 34 years 4,000 2,000 1,995
35 to 39 years 3,670 1,880 1,785
40 to 44 years 3,150 1,575 1,580
45 to 49 years 3,630 1,730 1,900
50 to 54 years 3,600 1,755 1,845
55 to 59 years 3,055 1,470 1,585
60 to 64 years 2,725 1,285 1,435
65 to 69 years 1,940 910 1,030
70 to 74 years 1,565 705 860
75 to 79 years 1,305 570 735
80 to 84 years 1,135 460 670
85 to 89 years 750 265 485
90 to 94 years 345 100 245
95 to 99 years 65 15 50
100 years and over 20 5 15
label: 0 to 4 years||3,585||1,790||1,790
5 to 9 years||3,290||1,695||1,590
10 to 14 years||3,045||1,540||1,505
15 to 19 years||3,375||1,635||1,740
20 to 24 years||4,595||2,250||2,340
25 to 29 years||4,400||2,245||2,155
30 to 34 years||4,000||2,000||1,995
35 to 39 years||3,670||1,880||1,785
40 to 44 years||3,150||1,575||1,580
45 to 49 years||3,630||1,730||1,900
50 to 54 years||3,600||1,755||1,845
55 to 59 years||3,055||1,470||1,585
60 to 64 years||2,725||1,285||1,435
65 to 69 years||1,940||910||1,030
70 to 74 years||1,565||705||860
75 to 79 years||1,305||570||735
80 to 84 years||1,135||460||670
85 to 89 years||750||265||485
90 to 94 years||345||100||245
95 to 99 years||65||15||50
100 years and over||20||5||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:
2 Real madrid 78 35 25 3 7 79 44 35
3 Fc seville 63 35 19 6 10 51 39 12
4 Valence cf 59 35 17 8 10 65 50 15
5 Atletico madrid 58 35 17 7 11 72 56 16
6 Villarreal 56 35 15 11 9 52 49 3
7 Deportivo la corogne 56 35 16 8 11 46 44 2
8 Malaga 54 35 15 9 11 53 53 0
9 Almeria 46 35 13 7 15 45 53 -8
10 Real majorque 45 35 12 9 14 46 55 -9
11 Athletic bilbao 44 35 12 8 15 46 55 -9
12 Real valladolid 42 35 12 6 17 42 52 -10
13 Racing santander 39 35 10 9 16 44 45 -1
14 Espanyol barcelone 38 35 9 11 15 39 49 -10
15 Getafe 37 35 9 10 16 47 54 -7
16 Betis seville 37 35 9 10 16 47 56 -9
17 Osasuna 36 35 8 12 15 38 46 -8
18 Sporting gijon 34 35 11 1 23 41 76 -35
19 Recreativo huelva 33 35 8 9 18 33 53 -20



TEGRA_table_txt_file: table_498.txt
TEGRA_TABLE_TEXT: 2 Real madrid 78 35 25 3 7 79 44 35
3 Fc seville 63 35 19 6 10 51 39 12
4 Valence cf 59 35 17 8 10 65 50 15
5 Atletico madrid 58 35 17 7 11 72 56 16
6 Villarreal 56 35 15 11 9 52 49 3
7 Deportivo la corogne 56 35 16 8 11 46 44 2
8 Malaga 54 35 15 9 11 53 53 0
9 Almeria 46 35 13 7 15 45 53 -8
10 Real majorque 45 35 12 9 14 46 55 -9
11 Athletic bilbao 44 35 12 8 15 46 55 -9
12 Real valladolid 42 35 12 6 17 42 52 -10
13 Racing santander 39 35 10 9 16 44 45 -1
14 Espanyol barcelone 38 35 9 11 15 39 49 -10
15 Getafe 37 35 9 10 16 47 54 -7
16 Betis seville 37 35 9 10 16 47 56 -9
17 Osasuna 36 35 8 12 15 38 46 -8
18 Sporting gijon 34 35 11 1 23 41 76 -35
19 Recreativo huelva 33 35 8 9 18 33 53 -20
label: 2||Real madrid||78||35||25||3||7||79||44||35
3||Fc seville||63||35||19||6||10||51||39||12
4||Valence cf||59||35||17||8||10||65||50||15
5||Atletico madrid||58||35||17||7||11||72||56||16
6||Villarreal||56||35||15||11||9||52||49||3
7||Deportivo la corogne||56||35||16||8||11||46||44||2
8||Malaga||54||35||15||9||11||53||53||0
9||Almeria||46||35||13||7||15||45||53||-8
10||Real majorque||45||35||12||9||14||46||55||-9
11||Athletic bilbao||44||35||12||8||15||46||55||-9
12||Real valladolid||42||35||12||6||17||42||52||-10
13||Racing santander||39||35||10||9||16||44||45||-1
14||Espanyol barcelone||38||35||9||11||15||39||49||-10
15||Getafe||37||35||9||10||16||47||54||-7
16||Betis seville||37||35||9||10||16||47||56||-9
17||Osasuna||36||35||8||12||15||38||46||-8
18||Sporting gijon||34||35||11||1||23||41||76||-35
19||Recreativo huelva||33||35||8||9||18||33||53||-20
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:
Rebirth Knight 6 4339 Friday, October 11, 2013
Rebirth Knight 5 5621 Friday, September 20, 2013
Rebirth Knight 4 5546 Thursday, September 5, 2013
Rebirth Knight 3 5960 Sunday, August 25, 2013
Rebirth Knight 2 6310 Saturday, August 24, 2013



TEGRA_table_txt_file: table_5274.txt
TEGRA_TABLE_TEXT: Rebirth Knight 6 4339 Friday, October 11, 2013
Rebirth Knight 5 5621 Friday, September 20, 2013
Rebirth Knight 4 5546 Thursday, September 5, 2013
Rebirth Knight 3 5960 Sunday, August 25, 2013
Rebirth Knight 2 6310 Saturday, August 24, 2013
label: Rebirth Knight 6||4339||Friday, October 11, 2013
Rebirth Knight 5||5621||Friday, September 20, 2013
Rebirth Knight 4||5546||Thursday, September 5, 2013
Rebirth Knight 3||5960||Sunday, August 25, 2013
Rebirth Knight 2||6310||Saturday, August 24, 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:
Tabor College 7-1 .875 8-2 .800 0.5 Won 5
Kansas Wesleyan Univ. 6-3 .667 6-5 .545 2.0 Lost 2
Univ. of Saint Mary 6-3 .667 6-5 .545 2.0 Won 4
Friends Univ. 5-4 .556 6-5 .545 3.0 Lost 2
McPherson College 4-4 .500 4-5 .444 3.5 Lost 1
Southwestern College 3-6 .333 4-7 .364 5.0 Lost 4
Sterling College 3-6 .333 3-7 .300 5.0 Won 2
Bethany College 2-7 .222 4-7 .364 6.0 Won 1



TEGRA_table_txt_file: table_8500.txt
TEGRA_TABLE_TEXT: Tabor College 7-1 .875 8-2 .800 0.5 Won 5
Kansas Wesleyan Univ. 6-3 .667 6-5 .545 2.0 Lost 2
Univ. of Saint Mary 6-3 .667 6-5 .545 2.0 Won 4
Friends Univ. 5-4 .556 6-5 .545 3.0 Lost 2
McPherson College 4-4 .500 4-5 .444 3.5 Lost 1
Southwestern College 3-6 .333 4-7 .364 5.0 Lost 4
Sterling College 3-6 .333 3-7 .300 5.0 Won 2
Bethany College 2-7 .222 4-7 .364 6.0 Won 1
label: Tabor College||7-1||.875||8-2||.800||0.5||Won 5
Kansas Wesleyan Univ.||6-3||.667||6-5||.545||2.0||Lost 2
Univ. of Saint Mary||6-3||.667||6-5||.545||2.0||Won 4
Friends Univ.||5-4||.556||6-5||.545||3.0||Lost 2
McPherson College||4-4||.500||4-5||.444||3.5||Lost 1
Southwestern College||3-6||.333||4-7||.364||5.0||Lost 4
Sterling College||3-6||.333||3-7||.300||5.0||Won 2
Bethany College||2-7||.222||4-7||.364||6.0||Won 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:
Match 5 and 1 Star #190,786.10 &euro;248,016.40 11
Match 5 #66,173.50 &euro;86,023.70 9
Match 4 and 2 Stars #3,832.40 &euro;4,982.00 111
Match 4 and 1 Star #176.20 &euro;229.10 1,609
Match 4 #65.10 &euro;84.70 3,045
Match 3 and 2 Stars #65.50 &euro;85.20 4,326
Match 2 and 2 Stars #20.70 &euro;27.00 60,007
Match 3 and 1 Star #21.20 &euro;27.60 67,954
Match 3 #10.60 &euro;13.80 125,220
Match 1 and 2 Stars #9.50 &euro;12.40 300,124



TEGRA_table_txt_file: table_817.txt
TEGRA_TABLE_TEXT: Match 5 and 1 Star #190,786.10 &euro;248,016.40 11
Match 5 #66,173.50 &euro;86,023.70 9
Match 4 and 2 Stars #3,832.40 &euro;4,982.00 111
Match 4 and 1 Star #176.20 &euro;229.10 1,609
Match 4 #65.10 &euro;84.70 3,045
Match 3 and 2 Stars #65.50 &euro;85.20 4,326
Match 2 and 2 Stars #20.70 &euro;27.00 60,007
Match 3 and 1 Star #21.20 &euro;27.60 67,954
Match 3 #10.60 &euro;13.80 125,220
Match 1 and 2 Stars #9.50 &euro;12.40 300,124
label: Match 5 and 1 Star||#190,786.10||&euro;248,016.40||11
Match 5||#66,173.50||&euro;86,023.70||9
Match 4 and 2 Stars||#3,832.40||&euro;4,982.00||111
Match 4 and 1 Star||#176.20||&euro;229.10||1,609
Match 4||#65.10||&euro;84.70||3,045
Match 3 and 2 Stars||#65.50||&euro;85.20||4,326
Match 2 and 2 Stars||#20.70||&euro;27.00||60,007
Match 3 and 1 Star||#21.20||&euro;27.60||67,954
Match 3||#10.60||&euro;13.80||125,220
Match 1 and 2 Stars||#9.50||&euro;12.40||300,124
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:
Year Team W L ERA G GS CG SHO SV INN H R ER HR HBP BB SO
1987 R-Pulaski 4 8 3.24 15 13 3 2 0 83.1 64 37 30 7 3 42 82
1988 A-Burlington 11 5 3.62 30 23 1 1 0 154.0 154 86 62 7 1 69 160
1988 A-Durham 1 0 1.46 2 2 1 1 0 12.1 14 3 2 0 0 5 14
1989 AA-Greenville 4 1 1.58 47 0 0 0 19 51.1 32 10 9 1 0 31 58
1989 AAA-Richmond 2 0 0.00 13 0 0 0 8 20.0 6 0 0 0 1 13 20
1990 AA-Greenville 0 1 1.59 4 4 0 0 0 5.2 7 1 1 1 0 3 4
2003 AA-Binghamton 0 1 9.00 1 1 0 0 0 1.0 6 3 1 0 0 0 1
2003 A-Brooklyn 0 0 0.00 1 1 0 0 0 2.0 1 0 0 0 0 0 1



TEGRA_table_txt_file: table_7450.txt
TEGRA_TABLE_TEXT: Year Team W L ERA G GS CG SHO SV INN H R ER HR HBP BB SO
1987 R-Pulaski 4 8 3.24 15 13 3 2 0 83.1 64 37 30 7 3 42 82
1988 A-Burlington 11 5 3.62 30 23 1 1 0 154.0 154 86 62 7 1 69 160
1988 A-Durham 1 0 1.46 2 2 1 1 0 12.1 14 3 2 0 0 5 14
1989 AA-Greenville 4 1 1.58 47 0 0 0 19 51.1 32 10 9 1 0 31 58
1989 AAA-Richmond 2 0 0.00 13 0 0 0 8 20.0 6 0 0 0 1 13 20
1990 AA-Greenville 0 1 1.59 4 4 0 0 0 5.2 7 1 1 1 0 3 4
2003 AA-Binghamton 0 1 9.00 1 1 0 0 0 1.0 6 3 1 0 0 0 1
2003 A-Brooklyn 0 0 0.00 1 1 0 0 0 2.0 1 0 0 0 0 0 1
label: Year||Team||W||L||ERA||G||GS||CG||SHO||SV||INN||H||R||ER||HR||HBP||BB||SO
1987||R-Pulaski||4||8||3.24||15||13||3||2||0||83.1||64||37||30||7||3||42||82
1988||A-Burlington||11||5||3.62||30||23||1||1||0||154.0||154||86||62||7||1||69||160
1988||A-Durham||1||0||1.46||2||2||1||1||0||12.1||14||3||2||0||0||5||14
1989||AA-Greenville||4||1||1.58||47||0||0||0||19||51.1||32||10||9||1||0||31||58
1989||AAA-Richmond||2||0||0.00||13||0||0||0||8||20.0||6||0||0||0||1||13||20
1990||AA-Greenville||0||1||1.59||4||4||0||0||0||5.2||7||1||1||1||0||3||4
2003||AA-Binghamton||0||1||9.00||1||1||0||0||0||1.0||6||3||1||0||0||0||1
2003||A-Brooklyn||0||0||0.00||1||1||0||0||0||2.0||1||0||0||0||0||0||1
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
230 Servers are UP! 8/23/2012 660
229 Regular Server Maintenance 8/23/2012 373
228 Servers are UP! 8/16/2012 743
227 Extended Server Maintenance 8/16/2012 401
226 Regular Server Maintenance 8/16/2012 346
225 Servers are UP! 8/9/2012 716
224 Regular Server Maintenance 8/9/2012 348
223 Servers are UP! 8/7/2012 469
222 Emergency Server Maintenance 8/6/2012 378
221 On-going technical issues 8/6/2012 311
220 Servers are UP! 8/2/2012 672
219 Regular Server Maintenance 8/2/2012 309
218 Servers are Up! 7/26/2012 799



TEGRA_table_txt_file: table_6097.txt
TEGRA_TABLE_TEXT: 230 Servers are UP! 8/23/2012 660
229 Regular Server Maintenance 8/23/2012 373
228 Servers are UP! 8/16/2012 743
227 Extended Server Maintenance 8/16/2012 401
226 Regular Server Maintenance 8/16/2012 346
225 Servers are UP! 8/9/2012 716
224 Regular Server Maintenance 8/9/2012 348
223 Servers are UP! 8/7/2012 469
222 Emergency Server Maintenance 8/6/2012 378
221 On-going technical issues 8/6/2012 311
220 Servers are UP! 8/2/2012 672
219 Regular Server Maintenance 8/2/2012 309
218 Servers are Up! 7/26/2012 799
label: 230||Servers are UP!||8/23/2012||660
229||Regular Server Maintenance||8/23/2012||373
228||Servers are UP!||8/16/2012||743
227||Extended Server Maintenance||8/16/2012||401
226||Regular Server Maintenance||8/16/2012||346
225||Servers are UP!||8/9/2012||716
224||Regular Server Maintenance||8/9/2012||348
223||Servers are UP!||8/7/2012||469
222||Emergency Server Maintenance||8/6/2012||378
221||On-going technical issues||8/6/2012||311
220||Servers are UP!||8/2/2012||672
219||Regular Server Maintenance||8/2/2012||309
218||Servers are Up!||7/26/2012||799
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:
MC5153F Motorola Inc 5151-7850 5528 Buy
54S153FM Texas Instruments S153-1955 2632 Buy
54F153FMQB Texas Instruments F153-0993 6365 Buy
54LS153FMQB Texas Instruments LS153-8294 229 Buy
SNJ54F153FK Texas Instruments 1773755 74 Buy
CD54HC153F3A Texas Instruments 1540137 2 Buy
CD54HC153F3A Harris Corporation HC153-4223 13 Buy
MC74HC153FL1 ON Semiconductor HC153-0016 1000 Buy
MC74HC153FR1 ON Semiconductor HC153-0020 2000 Buy
MC74HC153FR1 Motorola Inc HC153-0022 1000 Buy
MC74HC153FR2 ON Semiconductor HC153-0019 2000 Buy
SNJ54HC153FK Texas Instruments 297836G 69 Buy
SNJ54LS153FK Texas Instruments LS153-0013 67 Buy



TEGRA_table_txt_file: table_4715.txt
TEGRA_TABLE_TEXT: MC5153F Motorola Inc 5151-7850 5528 Buy
54S153FM Texas Instruments S153-1955 2632 Buy
54F153FMQB Texas Instruments F153-0993 6365 Buy
54LS153FMQB Texas Instruments LS153-8294 229 Buy
SNJ54F153FK Texas Instruments 1773755 74 Buy
CD54HC153F3A Texas Instruments 1540137 2 Buy
CD54HC153F3A Harris Corporation HC153-4223 13 Buy
MC74HC153FL1 ON Semiconductor HC153-0016 1000 Buy
MC74HC153FR1 ON Semiconductor HC153-0020 2000 Buy
MC74HC153FR1 Motorola Inc HC153-0022 1000 Buy
MC74HC153FR2 ON Semiconductor HC153-0019 2000 Buy
SNJ54HC153FK Texas Instruments 297836G 69 Buy
SNJ54LS153FK Texas Instruments LS153-0013 67 Buy
label: MC5153F||Motorola Inc||5151-7850||5528||Buy
54S153FM||Texas Instruments||S153-1955||2632||Buy
54F153FMQB||Texas Instruments||F153-0993||6365||Buy
54LS153FMQB||Texas Instruments||LS153-8294||229||Buy
SNJ54F153FK||Texas Instruments||1773755||74||Buy
CD54HC153F3A||Texas Instruments||1540137||2||Buy
CD54HC153F3A||Harris Corporation||HC153-4223||13||Buy
MC74HC153FL1||ON Semiconductor||HC153-0016||1000||Buy
MC74HC153FR1||ON Semiconductor||HC153-0020||2000||Buy
MC74HC153FR1||Motorola Inc||HC153-0022||1000||Buy
MC74HC153FR2||ON Semiconductor||HC153-0019||2000||Buy
SNJ54HC153FK||Texas Instruments||297836G||69||Buy
SNJ54LS153FK||Texas Instruments||LS153-0013||67||Buy
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
1-2 0004121C Iron 12.0 225 45 12.0
3-5 000414FC Steel 14.0 375 95 13.5
6-9 000414FF Dwarven 16.0 525 210 15.0
10-14 00041502 Orcish 18.0 750 460 18.0
15-19 00041505 Ebony 21.0 1125 1000 18.0



TEGRA_table_txt_file: table_7382.txt
TEGRA_TABLE_TEXT: 1-2 0004121C Iron 12.0 225 45 12.0
3-5 000414FC Steel 14.0 375 95 13.5
6-9 000414FF Dwarven 16.0 525 210 15.0
10-14 00041502 Orcish 18.0 750 460 18.0
15-19 00041505 Ebony 21.0 1125 1000 18.0
label: 1-2 0004121C||Iron||12.0||225||45||12.0
3-5 000414FC||Steel||14.0||375||95||13.5
6-9 000414FF||Dwarven||16.0||525||210||15.0
10-14 00041502||Orcish||18.0||750||460||18.0
15-19 00041505||Ebony||21.0||1125||1000||18.0
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:
Klauder 1185 2 $1,230 0 More Info, Floor Plan
Janssen 1490 3 $1,305 0 More Info, Floor Plan
Osterling 1515 3 $1,310 0 More Info, Floor Plan
Burnham 1635 3 $1,330 0 More Info, Floor Plan
Scheibler 1660 3 $1,395 0 More Info, Floor Plan



TEGRA_table_txt_file: table_2265.txt
TEGRA_TABLE_TEXT: Klauder 1185 2 $1,230 0 More Info, Floor Plan
Janssen 1490 3 $1,305 0 More Info, Floor Plan
Osterling 1515 3 $1,310 0 More Info, Floor Plan
Burnham 1635 3 $1,330 0 More Info, Floor Plan
Scheibler 1660 3 $1,395 0 More Info, Floor Plan
label: Klauder||1185||2||$1,230||0||More Info, Floor Plan
Janssen||1490||3||$1,305||0||More Info, Floor Plan
Osterling||1515||3||$1,310||0||More Info, Floor Plan
Burnham||1635||3||$1,330||0||More Info, Floor Plan
Scheibler||1660||3||$1,395||0||More Info, Floor Plan
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:
BASKET SCAFATI 1969. 0 0 0 0 0 0 0
KOUROS NAPOLI 0 0 0 0 0 0 0
LIONS GRAGNANO BASKET. 0 0 0 0 0 0 0
NUOVA POL.. STABIA 0 0 0 0 0 0 0
POL. BATTIPAGLIESE. 0 0 0 0 0 0 0
S.S. FELICE SCANDONE. 0 0 0 0 0 0 0



TEGRA_table_txt_file: table_4724.txt
TEGRA_TABLE_TEXT: BASKET SCAFATI 1969. 0 0 0 0 0 0 0
KOUROS NAPOLI 0 0 0 0 0 0 0
LIONS GRAGNANO BASKET. 0 0 0 0 0 0 0
NUOVA POL.. STABIA 0 0 0 0 0 0 0
POL. BATTIPAGLIESE. 0 0 0 0 0 0 0
S.S. FELICE SCANDONE. 0 0 0 0 0 0 0
label: BASKET SCAFATI 1969.||0||0||0||0||0||0||0
KOUROS NAPOLI||0||0||0||0||0||0||0
LIONS GRAGNANO BASKET.||0||0||0||0||0||0||0
NUOVA POL.. STABIA||0||0||0||0||0||0||0
POL. BATTIPAGLIESE.||0||0||0||0||0||0||0
S.S. FELICE SCANDONE.||0||0||0||0||0||0||0
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
August 24 Monday Classes Begin
September 7 Monday Labor Day (University Closed)
November 25 Wednesday Thanksgiving Break Begins
November 30 Monday Classes Resume
December 5 Saturday Classes End
December 7 - 12 Monday - Saturday Final Examinations
December 12 Saturday Fall Graduate Commencement



TEGRA_table_txt_file: table_4058.txt
TEGRA_TABLE_TEXT: August 24 Monday Classes Begin
September 7 Monday Labor Day (University Closed)
November 25 Wednesday Thanksgiving Break Begins
November 30 Monday Classes Resume
December 5 Saturday Classes End
December 7 - 12 Monday - Saturday Final Examinations
December 12 Saturday Fall Graduate Commencement
label: August 24||Monday||Classes Begin
September 7||Monday||Labor Day (University Closed)
November 25||Wednesday||Thanksgiving Break Begins
November 30||Monday||Classes Resume
December 5||Saturday||Classes End
December 7 - 12||Monday - Saturday||Final Examinations
December 12||Saturday||Fall Graduate Commencement
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:
Wilsonville Mud Dogs A 125 11-6-0 25 2 5
Tuscaloosa Tide N 84 6-4-1 28 1 3
Tuscaloosa Titans A 82 6-4-1 27.3 2 3
Sliders N 68 5-1-0 34 1 2
Montgomery Mudcats N 47 4-6-0 15.7 0 3
Rebels Baseball A 40 3-1-0 40 1 1
Dirtbags S 37 3-0-0 37 1 1
RBI Diamondbacks A 34 3-6-0 11.3 0 3
Ballistic Baseball A 30 2-8-0 10 0 3
Shelby Sidewinders N 29 3-3-0 14.5 0 2
Alabama Rays N 27 3-1-0 27 0 1
Northside Sting A 23 1-5-0 11.5 0 2
Vestavia N 23 2-5-0 11.5 0 2
CV Baseball N 16 1-2-0 16 0 1
Rampage A 15 1-3-0 15 0 1
Alabama Cowboys A 10 0-3-0 10 0 1
Columbus Heat A 5 0-3-0 5 0 1
Spartans N     



TEGRA_table_txt_file: table_1095.txt
TEGRA_TABLE_TEXT: Wilsonville Mud Dogs A 125 11-6-0 25 2 5
Tuscaloosa Tide N 84 6-4-1 28 1 3
Tuscaloosa Titans A 82 6-4-1 27.3 2 3
Sliders N 68 5-1-0 34 1 2
Montgomery Mudcats N 47 4-6-0 15.7 0 3
Rebels Baseball A 40 3-1-0 40 1 1
Dirtbags S 37 3-0-0 37 1 1
RBI Diamondbacks A 34 3-6-0 11.3 0 3
Ballistic Baseball A 30 2-8-0 10 0 3
Shelby Sidewinders N 29 3-3-0 14.5 0 2
Alabama Rays N 27 3-1-0 27 0 1
Northside Sting A 23 1-5-0 11.5 0 2
Vestavia N 23 2-5-0 11.5 0 2
CV Baseball N 16 1-2-0 16 0 1
Rampage A 15 1-3-0 15 0 1
Alabama Cowboys A 10 0-3-0 10 0 1
Columbus Heat A 5 0-3-0 5 0 1
Spartans N     
label: Wilsonville Mud Dogs||A||125||11-6-0||25||2||5
Tuscaloosa Tide||N||84||6-4-1||28||1||3
Tuscaloosa Titans||A||82||6-4-1||27.3||2||3
Sliders||N||68||5-1-0||34||1||2
Montgomery Mudcats||N||47||4-6-0||15.7||0||3
Rebels Baseball||A||40||3-1-0||40||1||1
Dirtbags||S||37||3-0-0||37||1||1
RBI Diamondbacks||A||34||3-6-0||11.3||0||3
Ballistic Baseball||A||30||2-8-0||10||0||3
Shelby Sidewinders||N||29||3-3-0||14.5||0||2
Alabama Rays||N||27||3-1-0||27||0||1
Northside Sting||A||23||1-5-0||11.5||0||2
Vestavia||N||23||2-5-0||11.5||0||2
CV Baseball||N||16||1-2-0||16||0||1
Rampage||A||15||1-3-0||15||0||1
Alabama Cowboys||A||10||0-3-0||10||0||1
Columbus Heat||A||5||0-3-0||5||0||1
Spartans||N||||||||||
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:
topannapot $4210.50 5 74 times
Grafa $1493.22 5 73 times
StatSolver $1978.00 5 46 times
ResearchPro $1054.00 5 43 times
julian kay $1351.00 5 40 times
roel $1565.00 5 35 times
yashaswi $513.50 5 31 times
cm_bing $253.00 5 25 times



TEGRA_table_txt_file: table_2824.txt
TEGRA_TABLE_TEXT: topannapot $4210.50 5 74 times
Grafa $1493.22 5 73 times
StatSolver $1978.00 5 46 times
ResearchPro $1054.00 5 43 times
julian kay $1351.00 5 40 times
roel $1565.00 5 35 times
yashaswi $513.50 5 31 times
cm_bing $253.00 5 25 times
label: topannapot||$4210.50||5||74 times
Grafa||$1493.22||5||73 times
StatSolver||$1978.00||5||46 times
ResearchPro||$1054.00||5||43 times
julian kay||$1351.00||5||40 times
roel||$1565.00||5||35 times
yashaswi||$513.50||5||31 times
cm_bing||$253.00||5||25 times
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:
2011 Eurobasket 9º
2010 Mundial 17º
2009 Eurobasket 11º
2007 Eurobasket 5º
2005 Eurobasket 2º
2003 Eurobasket 9º
2001 Eurobasket 4º
1999 Eurobasket 7º
1997 Eurobasket 12º
1995 Eurobasket 10º
1993 Eurobasket 1º
1987 Eurobasket 6º
1985 Eurobasket 5º
1983 Eurobasket 8º
1981 Eurobasket 10º
1971 Eurobasket 9º
1965 Eurobasket 10º
1961 Eurobasket 12º
1957 Eurobasket 13º
1955 Eurobasket 17º
1953 Eurobasket 14º



TEGRA_table_txt_file: table_6941.txt
TEGRA_TABLE_TEXT: 2011 Eurobasket 9º
2010 Mundial 17º
2009 Eurobasket 11º
2007 Eurobasket 5º
2005 Eurobasket 2º
2003 Eurobasket 9º
2001 Eurobasket 4º
1999 Eurobasket 7º
1997 Eurobasket 12º
1995 Eurobasket 10º
1993 Eurobasket 1º
1987 Eurobasket 6º
1985 Eurobasket 5º
1983 Eurobasket 8º
1981 Eurobasket 10º
1971 Eurobasket 9º
1965 Eurobasket 10º
1961 Eurobasket 12º
1957 Eurobasket 13º
1955 Eurobasket 17º
1953 Eurobasket 14º
label: 2011||Eurobasket||9º
2010||Mundial||17º
2009||Eurobasket||11º
2007||Eurobasket||5º
2005||Eurobasket||2º
2003||Eurobasket||9º
2001||Eurobasket||4º
1999||Eurobasket||7º
1997||Eurobasket||12º
1995||Eurobasket||10º
1993||Eurobasket||1º
1987||Eurobasket||6º
1985||Eurobasket||5º
1983||Eurobasket||8º
1981||Eurobasket||10º
1971||Eurobasket||9º
1965||Eurobasket||10º
1961||Eurobasket||12º
1957||Eurobasket||13º
1955||Eurobasket||17º
1953||Eurobasket||14º
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:
Lunghezza 3,99 mt 4,45 mt 5,00 mt 5,82 mt
Larghezza 1,52 mt 1,67 mt 1,94 mt 2,24 mt
Peso 116kg 195 kg 260kg 493kg
Portata persone 6/598 7/794 6/616 10/865
Potenza massima installabile 20 Hp 40 Hp 50Hp 115Hp



TEGRA_table_txt_file: table_9469.txt
TEGRA_TABLE_TEXT: Lunghezza 3,99 mt 4,45 mt 5,00 mt 5,82 mt
Larghezza 1,52 mt 1,67 mt 1,94 mt 2,24 mt
Peso 116kg 195 kg 260kg 493kg
Portata persone 6/598 7/794 6/616 10/865
Potenza massima installabile 20 Hp 40 Hp 50Hp 115Hp
label: Lunghezza||3,99 mt||4,45 mt||5,00 mt||5,82 mt
Larghezza||1,52 mt||1,67 mt||1,94 mt||2,24 mt
Peso||116kg||195 kg||260kg||493kg
Portata persone||6/598||7/794||6/616||10/865
Potenza massima installabile||20 Hp||40 Hp||50Hp||115Hp
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:
Note Trading - - -
Note Investissement - - -
Croissance - - -
Valorisation - - -
Situation Financière - - -
Rentabilité - - -
Qualité des publications - - -
Visibilité - - -
PER - - -
Potentiel - - -
Rendement - - -
Consensus - - -
Révision BNA 7 jours - - -
Révision BNA 4 mois - - -
Révision BNA 1 an - - -
Révision CA 4 mois - - -



TEGRA_table_txt_file: table_8326.txt
TEGRA_TABLE_TEXT: Note Trading - - -
Note Investissement - - -
Croissance - - -
Valorisation - - -
Situation Financière - - -
Rentabilité - - -
Qualité des publications - - -
Visibilité - - -
PER - - -
Potentiel - - -
Rendement - - -
Consensus - - -
Révision BNA 7 jours - - -
Révision BNA 4 mois - - -
Révision BNA 1 an - - -
Révision CA 4 mois - - -
label: Note Trading||-||-||-
Note Investissement||-||-||-
Croissance||-||-||-
Valorisation||-||-||-
Situation Financière||-||-||-
Rentabilité||-||-||-
Qualité des publications||-||-||-
Visibilité||-||-||-
PER||-||-||-
Potentiel||-||-||-
Rendement||-||-||-
Consensus||-||-||-
Révision BNA 7 jours||-||-||-
Révision BNA 4 mois||-||-||-
Révision BNA 1 an||-||-||-
Révision CA 4 mois||-||-||-
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:
Commerce Department 2 0 8
Defense Department 0 0 15
Education Department 0 0 5
Energy Department 38 0 6
Environmental Protection Agency 0 0 18
Health and Human Services Department 1 1 12
Homeland Security Department 2 0 20
Housing and Urban Development Department 0 0 0
Interior Department 0 0 23
Justice Department 0 0 1
Labor Department 0 0 12
State Department 3 0 3
Transportation Department 1 0 28
Treasury Department 0 0 21



TEGRA_table_txt_file: table_6934.txt
TEGRA_TABLE_TEXT: Commerce Department 2 0 8
Defense Department 0 0 15
Education Department 0 0 5
Energy Department 38 0 6
Environmental Protection Agency 0 0 18
Health and Human Services Department 1 1 12
Homeland Security Department 2 0 20
Housing and Urban Development Department 0 0 0
Interior Department 0 0 23
Justice Department 0 0 1
Labor Department 0 0 12
State Department 3 0 3
Transportation Department 1 0 28
Treasury Department 0 0 21
label: Commerce Department||2||0||8
Defense Department||0||0||15
Education Department||0||0||5
Energy Department||38||0||6
Environmental Protection Agency||0||0||18
Health and Human Services Department||1||1||12
Homeland Security Department||2||0||20
Housing and Urban Development Department||0||0||0
Interior Department||0||0||23
Justice Department||0||0||1
Labor Department||0||0||12
State Department||3||0||3
Transportation Department||1||0||28
Treasury Department||0||0||21
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:
Ray Rice  @ MIA W 26-23 27 74 2.7 2 1
Jacquizz Rodgers ATL vs NYJ L 28-30 14 43 3.1 2 0
Donald Brown IND vs SEA W 34-28 6 37 6.2 1 0
Jamaal Charles KC @ TEN W 26-17 22 108 4.9 1 1
Anthony Dixon SF vs W 34-3 5 12 2.4 1 0
Ryan Fitzpatrick TEN vs KC L 17-26 6 50 8.3 1 0
Frank Gore SF vs W 34-3 17 81 4.8 1 0
BenJarvus Green-Ellis CIN vs NE W 13-6 19 67 3.5 1 0
Peyton Manning DEN @ DAL W 51-48 4 -8 -2.0 1 0



TEGRA_table_txt_file: table_1559.txt
TEGRA_TABLE_TEXT: Ray Rice  @ MIA W 26-23 27 74 2.7 2 1
Jacquizz Rodgers ATL vs NYJ L 28-30 14 43 3.1 2 0
Donald Brown IND vs SEA W 34-28 6 37 6.2 1 0
Jamaal Charles KC @ TEN W 26-17 22 108 4.9 1 1
Anthony Dixon SF vs W 34-3 5 12 2.4 1 0
Ryan Fitzpatrick TEN vs KC L 17-26 6 50 8.3 1 0
Frank Gore SF vs W 34-3 17 81 4.8 1 0
BenJarvus Green-Ellis CIN vs NE W 13-6 19 67 3.5 1 0
Peyton Manning DEN @ DAL W 51-48 4 -8 -2.0 1 0
label: Ray Rice||||@ MIA||W 26-23||27||74||2.7||2||1
Jacquizz Rodgers||ATL||vs NYJ||L 28-30||14||43||3.1||2||0
Donald Brown||IND||vs SEA||W 34-28||6||37||6.2||1||0
Jamaal Charles||KC||@ TEN||W 26-17||22||108||4.9||1||1
Anthony Dixon||SF||vs||W 34-3||5||12||2.4||1||0
Ryan Fitzpatrick||TEN||vs KC||L 17-26||6||50||8.3||1||0
Frank Gore||SF||vs||W 34-3||17||81||4.8||1||0
BenJarvus Green-Ellis||CIN||vs NE||W 13-6||19||67||3.5||1||0
Peyton Manning||DEN||@ DAL||W 51-48||4||-8||-2.0||1||0