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:
Tradegate (RT) 57,30 &euro; +0,04% 12:50
Hannover 57,45 &euro; +2,33% 11:25
Düsseldorf 57,41 &euro; +2,15% 08:12
Hamburg 57,55 &euro; +0,96% 13:47
Stuttgart 57,53 &euro; +0,72% 13:49
Berlin 57,24 &euro; +0,33% 13:22
Xetra 57,41 &euro; +0,30% 14:10
Frankfurt 57,261 &euro; +0,29% 12:54



TEGRA_table_txt_file: table_8063.txt
TEGRA_TABLE_TEXT: Tradegate (RT) 57,30 &euro; +0,04% 12:50
Hannover 57,45 &euro; +2,33% 11:25
Düsseldorf 57,41 &euro; +2,15% 08:12
Hamburg 57,55 &euro; +0,96% 13:47
Stuttgart 57,53 &euro; +0,72% 13:49
Berlin 57,24 &euro; +0,33% 13:22
Xetra 57,41 &euro; +0,30% 14:10
Frankfurt 57,261 &euro; +0,29% 12:54
label: Tradegate (RT)||57,30 &euro;||+0,04%||12:50
Hannover||57,45 &euro;||+2,33%||11:25
Düsseldorf||57,41 &euro;||+2,15%||08:12
Hamburg||57,55 &euro;||+0,96%||13:47
Stuttgart||57,53 &euro;||+0,72%||13:49
Berlin||57,24 &euro;||+0,33%||13:22
Xetra||57,41 &euro;||+0,30%||14:10
Frankfurt||57,261 &euro;||+0,29%||12:54
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:
Snowfall (in.) 1 25
Precipitation Days 42 100
Sunny Days 284 205
Avg. July High 99 86.5
Avg. Jan. Low 28.7 20.5
Comfort Index (higher=better) 55 44
UV Index 6.8 4.3



TEGRA_table_txt_file: table_166.txt
TEGRA_TABLE_TEXT: Snowfall (in.) 1 25
Precipitation Days 42 100
Sunny Days 284 205
Avg. July High 99 86.5
Avg. Jan. Low 28.7 20.5
Comfort Index (higher=better) 55 44
UV Index 6.8 4.3
label: Snowfall (in.)||1||25
Precipitation Days||42||100
Sunny Days||284||205
Avg. July High||99||86.5
Avg. Jan. Low||28.7||20.5
Comfort Index (higher=better)||55||44
UV Index||6.8||4.3
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:
$10,000 to $14,999 1.88% 7.17% 6.35%
$15,000 to $19,999 3.38% 7.42% 6.74%
$20,000 to $24,999 5.92% 7.98% 7.16%
$25,000 to $29,999 5.78% 7.38% 7.05%
$30,000 to $34,999 5.49% 7.31% 6.92%
$35,000 to $39,999 6.34% 6.47% 6.43%
$40,000 to $44,999 6.24% 5.71% 5.87%
$45,000 to $49,999 5.63% 5.19% 5.20%
$50,000 to $59,999 12.26% 8.55% 9.08%
$60,000 to $74,999 13.90% 9.15% 10.12%
$75,000 to $99,999 14.45% 8.39% 9.68%
$100,000 to $124,999 7.46% 3.93% 4.70%
$125,000 to $149,999 2.76% 1.74% 2.19%
$150,000 to $199,999 1.76% 1.61% 1.89%



TEGRA_table_txt_file: table_9679.txt
TEGRA_TABLE_TEXT: $10,000 to $14,999 1.88% 7.17% 6.35%
$15,000 to $19,999 3.38% 7.42% 6.74%
$20,000 to $24,999 5.92% 7.98% 7.16%
$25,000 to $29,999 5.78% 7.38% 7.05%
$30,000 to $34,999 5.49% 7.31% 6.92%
$35,000 to $39,999 6.34% 6.47% 6.43%
$40,000 to $44,999 6.24% 5.71% 5.87%
$45,000 to $49,999 5.63% 5.19% 5.20%
$50,000 to $59,999 12.26% 8.55% 9.08%
$60,000 to $74,999 13.90% 9.15% 10.12%
$75,000 to $99,999 14.45% 8.39% 9.68%
$100,000 to $124,999 7.46% 3.93% 4.70%
$125,000 to $149,999 2.76% 1.74% 2.19%
$150,000 to $199,999 1.76% 1.61% 1.89%
label: $10,000 to $14,999||1.88%||7.17%||6.35%
$15,000 to $19,999||3.38%||7.42%||6.74%
$20,000 to $24,999||5.92%||7.98%||7.16%
$25,000 to $29,999||5.78%||7.38%||7.05%
$30,000 to $34,999||5.49%||7.31%||6.92%
$35,000 to $39,999||6.34%||6.47%||6.43%
$40,000 to $44,999||6.24%||5.71%||5.87%
$45,000 to $49,999||5.63%||5.19%||5.20%
$50,000 to $59,999||12.26%||8.55%||9.08%
$60,000 to $74,999||13.90%||9.15%||10.12%
$75,000 to $99,999||14.45%||8.39%||9.68%
$100,000 to $124,999||7.46%||3.93%||4.70%
$125,000 to $149,999||2.76%||1.74%||2.19%
$150,000 to $199,999||1.76%||1.61%||1.89%
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 Alicante Alacantí Alicante 334,418
3 Elche Baix Vinalopó Alicante 230,822
5 Castellón de la Plana Plana Alta Castellón 180,690
6 Torrevieja Baix Segura Alicante 101,091
7 Orihuela Baix Segura Alicante 87,113
8 Torrent Horta Oest Valencia 79,843
9 Gandia Safor Valencia 79,430



TEGRA_table_txt_file: table_7010.txt
TEGRA_TABLE_TEXT: 2 Alicante Alacantí Alicante 334,418
3 Elche Baix Vinalopó Alicante 230,822
5 Castellón de la Plana Plana Alta Castellón 180,690
6 Torrevieja Baix Segura Alicante 101,091
7 Orihuela Baix Segura Alicante 87,113
8 Torrent Horta Oest Valencia 79,843
9 Gandia Safor Valencia 79,430
label: 2||Alicante||Alacantí||Alicante||334,418
3||Elche||Baix Vinalopó||Alicante||230,822
5||Castellón de la Plana||Plana Alta||Castellón||180,690
6||Torrevieja||Baix Segura||Alicante||101,091
7||Orihuela||Baix Segura||Alicante||87,113
8||Torrent||Horta Oest||Valencia||79,843
9||Gandia||Safor||Valencia||79,430
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:
31-50 years <3 <3 71.2 71.7 27.5 28.0 25-35%
51-70 years <3 <3 76.2 75.8 23.0 23.3 25-35%
71+ years 3.1E <3 74.6 82.3 22.3 16.6 25-35%
19+ 1.2E 0.6E 73.9 76.5 24.8 22.8 25-35%
Protein       
19-30 years <3 <3 99.1 99.2 0.0 <3 10-30%
31-50 years <3 <3 98.8 99.3 0.0 0.0 10-30%
51-70 years <3 <3 100.0 100.0 0.0 0.0 10-30%
71+ years <3 <3 100.0 99.8 0.0 0.0 10-30%
19+ <3 <3 99.8 99.6 0.0 0.0 10-30%
Carbohydrates       
19-30 years 22.8 8.5 76.4 90.9 <3 <3 45-65%
31-50 years 35.0 29.2 64.6 70.3 <3 <3 45-65%
51-70 years 35.9 22.0 63.8 77.5 <3 <3 45-65%
71+ years 21.7 11.3E 76.9 80.1 <3 <3 45-65%



TEGRA_table_txt_file: table_2359.txt
TEGRA_TABLE_TEXT: 31-50 years <3 <3 71.2 71.7 27.5 28.0 25-35%
51-70 years <3 <3 76.2 75.8 23.0 23.3 25-35%
71+ years 3.1E <3 74.6 82.3 22.3 16.6 25-35%
19+ 1.2E 0.6E 73.9 76.5 24.8 22.8 25-35%
Protein       
19-30 years <3 <3 99.1 99.2 0.0 <3 10-30%
31-50 years <3 <3 98.8 99.3 0.0 0.0 10-30%
51-70 years <3 <3 100.0 100.0 0.0 0.0 10-30%
71+ years <3 <3 100.0 99.8 0.0 0.0 10-30%
19+ <3 <3 99.8 99.6 0.0 0.0 10-30%
Carbohydrates       
19-30 years 22.8 8.5 76.4 90.9 <3 <3 45-65%
31-50 years 35.0 29.2 64.6 70.3 <3 <3 45-65%
51-70 years 35.9 22.0 63.8 77.5 <3 <3 45-65%
71+ years 21.7 11.3E 76.9 80.1 <3 <3 45-65%
label: 31-50 years||<3||<3||71.2||71.7||27.5||28.0||25-35%
51-70 years||<3||<3||76.2||75.8||23.0||23.3||25-35%
71+ years||3.1E||<3||74.6||82.3||22.3||16.6||25-35%
19+||1.2E||0.6E||73.9||76.5||24.8||22.8||25-35%
Protein||||||||||||||
19-30 years||<3||<3||99.1||99.2||0.0||<3||10-30%
31-50 years||<3||<3||98.8||99.3||0.0||0.0||10-30%
51-70 years||<3||<3||100.0||100.0||0.0||0.0||10-30%
71+ years||<3||<3||100.0||99.8||0.0||0.0||10-30%
19+||<3||<3||99.8||99.6||0.0||0.0||10-30%
Carbohydrates||||||||||||||
19-30 years||22.8||8.5||76.4||90.9||<3||<3||45-65%
31-50 years||35.0||29.2||64.6||70.3||<3||<3||45-65%
51-70 years||35.9||22.0||63.8||77.5||<3||<3||45-65%
71+ years||21.7||11.3E||76.9||80.1||<3||<3||45-65%
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:
10 4 47 39
12 6 67 50
16 6 120 103
20 8 188 158
25 10 294 246
32 12 482 414
40 16 753 633
44,45 (1,75) 16 931 810
50 20 1178 989
63 20 1870 1681
76,2 (3) 25 2736 2441
80 25 3015 2721
100 25 4712 4418
125 32 7363 6881
152,4 (6) ( 1 &frac12;) 10944 10260
160 40 12063 11309
200 40 18849 18095
250 50 29452 28274
304,8 (12) (2 &frac14;) 43779 42240
320 63 48254 46384



TEGRA_table_txt_file: table_3006.txt
TEGRA_TABLE_TEXT: 10 4 47 39
12 6 67 50
16 6 120 103
20 8 188 158
25 10 294 246
32 12 482 414
40 16 753 633
44,45 (1,75) 16 931 810
50 20 1178 989
63 20 1870 1681
76,2 (3) 25 2736 2441
80 25 3015 2721
100 25 4712 4418
125 32 7363 6881
152,4 (6) ( 1 &frac12;) 10944 10260
160 40 12063 11309
200 40 18849 18095
250 50 29452 28274
304,8 (12) (2 &frac14;) 43779 42240
320 63 48254 46384
label: 10||4||47||39
12||6||67||50
16||6||120||103
20||8||188||158
25||10||294||246
32||12||482||414
40||16||753||633
44,45 (1,75)||16||931||810
50||20||1178||989
63||20||1870||1681
76,2 (3)||25||2736||2441
80||25||3015||2721
100||25||4712||4418
125||32||7363||6881
152,4 (6)||( 1 &frac12;)||10944||10260
160||40||12063||11309
200||40||18849||18095
250||50||29452||28274
304,8 (12)||(2 &frac14;)||43779||42240
320||63||48254||46384
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:
Space Marine A to Z Tyross (FT) 29th Jul 09 1.5 stars - 4083
Planetstrike- Stratagem Overview LordZanuu (LZ) 8th Jul 09 4.5 stars - 6802
Tau A to Z Tyross (FT) 6th Jul 09 2.5 stars - 11616
Orks A to Z IVEATCH 6th Jul 09 2.5 stars - 10325
Imperial Guard A to Z Wargamer 6th Jul 09 1.5 stars - 6259
Eldar A to Z Tyross (FT) 5th Jul 09 2 stars - 9466
Chaos A to Z Chaos Undecided 5th Jul 09 2.5 stars - 4533



TEGRA_table_txt_file: table_6864.txt
TEGRA_TABLE_TEXT: Space Marine A to Z Tyross (FT) 29th Jul 09 1.5 stars - 4083
Planetstrike- Stratagem Overview LordZanuu (LZ) 8th Jul 09 4.5 stars - 6802
Tau A to Z Tyross (FT) 6th Jul 09 2.5 stars - 11616
Orks A to Z IVEATCH 6th Jul 09 2.5 stars - 10325
Imperial Guard A to Z Wargamer 6th Jul 09 1.5 stars - 6259
Eldar A to Z Tyross (FT) 5th Jul 09 2 stars - 9466
Chaos A to Z Chaos Undecided 5th Jul 09 2.5 stars - 4533
label: Space Marine A to Z||Tyross (FT)||29th Jul 09||1.5 stars||-||4083
Planetstrike- Stratagem Overview||LordZanuu (LZ)||8th Jul 09||4.5 stars||-||6802
Tau A to Z||Tyross (FT)||6th Jul 09||2.5 stars||-||11616
Orks A to Z||IVEATCH||6th Jul 09||2.5 stars||-||10325
Imperial Guard A to Z||Wargamer||6th Jul 09||1.5 stars||-||6259
Eldar A to Z||Tyross (FT)||5th Jul 09||2 stars||-||9466
Chaos A to Z||Chaos Undecided||5th Jul 09||2.5 stars||-||4533
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:
Daniella Lusha 11 0 0 0 09/07/05
Daniella Rotelli 1 0 5 0 03/18/07
Daniella Vesterlund 4 4 0 0 12/13/10
Daniella Alonso 17 1 0 167 01/17/13
Daniella Nardini 12 0 0 0 04/13/10
Daniella Ferrera 0 2 0 0 11/21/10
Daniella Daniels 3 0 0 0 02/08/10
Daniella Deutscher 16 0 0 3 04/13/10
Daniella Lloyd 2 0 0 0 03/16/05
Daniella Van-Graas 5 0 0 0 02/27/13
Daniella Westbrook 1 0 0 0 02/08/10
Daniella Panabaker 41 0 0 0 11/01/05
Daniella Fishel 12 0 0 0 02/15/08
Daniella Urzi 13 0 0 0 02/15/08
Daniella Monet 1029 0 1 1030 09/06/13
Daniella Evangelista 10 2 57 4 10/26/12
Daniella Sarahyb 0 1 0 0 06/22/10
Daniella Cicarelli 252 0 0 0 02/27/13



TEGRA_table_txt_file: table_1027.txt
TEGRA_TABLE_TEXT: Daniella Lusha 11 0 0 0 09/07/05
Daniella Rotelli 1 0 5 0 03/18/07
Daniella Vesterlund 4 4 0 0 12/13/10
Daniella Alonso 17 1 0 167 01/17/13
Daniella Nardini 12 0 0 0 04/13/10
Daniella Ferrera 0 2 0 0 11/21/10
Daniella Daniels 3 0 0 0 02/08/10
Daniella Deutscher 16 0 0 3 04/13/10
Daniella Lloyd 2 0 0 0 03/16/05
Daniella Van-Graas 5 0 0 0 02/27/13
Daniella Westbrook 1 0 0 0 02/08/10
Daniella Panabaker 41 0 0 0 11/01/05
Daniella Fishel 12 0 0 0 02/15/08
Daniella Urzi 13 0 0 0 02/15/08
Daniella Monet 1029 0 1 1030 09/06/13
Daniella Evangelista 10 2 57 4 10/26/12
Daniella Sarahyb 0 1 0 0 06/22/10
Daniella Cicarelli 252 0 0 0 02/27/13
label: Daniella Lusha||11||0||0||0||09/07/05
Daniella Rotelli||1||0||5||0||03/18/07
Daniella Vesterlund||4||4||0||0||12/13/10
Daniella Alonso||17||1||0||167||01/17/13
Daniella Nardini||12||0||0||0||04/13/10
Daniella Ferrera||0||2||0||0||11/21/10
Daniella Daniels||3||0||0||0||02/08/10
Daniella Deutscher||16||0||0||3||04/13/10
Daniella Lloyd||2||0||0||0||03/16/05
Daniella Van-Graas||5||0||0||0||02/27/13
Daniella Westbrook||1||0||0||0||02/08/10
Daniella Panabaker||41||0||0||0||11/01/05
Daniella Fishel||12||0||0||0||02/15/08
Daniella Urzi||13||0||0||0||02/15/08
Daniella Monet||1029||0||1||1030||09/06/13
Daniella Evangelista||10||2||57||4||10/26/12
Daniella Sarahyb||0||1||0||0||06/22/10
Daniella Cicarelli||252||0||0||0||02/27/13
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:
Bonuses (1) n/a $1,380 $1,488
Cash Bonus (1) n/a $1,397 $1,494
Stock Bonus (0) n/a No Reports
Profit Sharing (0) n/a No Reports
Other Pay (0) n/a No Reports
Commissions on Sales (0) n/a No Reports
Tips (0) n/a No Reports
Salaries in USD Average $5k $15k $25k



TEGRA_table_txt_file: table_7145.txt
TEGRA_TABLE_TEXT: Bonuses (1) n/a $1,380 $1,488
Cash Bonus (1) n/a $1,397 $1,494
Stock Bonus (0) n/a No Reports
Profit Sharing (0) n/a No Reports
Other Pay (0) n/a No Reports
Commissions on Sales (0) n/a No Reports
Tips (0) n/a No Reports
Salaries in USD Average $5k $15k $25k
label: Bonuses (1)||n/a||$1,380 $1,488
Cash Bonus (1)||n/a||$1,397 $1,494
Stock Bonus (0)||n/a||No Reports
Profit Sharing (0)||n/a||No Reports
Other Pay (0)||n/a||No Reports
Commissions on Sales (0)||n/a||No Reports
Tips (0)||n/a||No Reports
Salaries in USD||Average||$5k $15k $25k
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 Oct 6-9 11 23 32 33 * 1
2010 Oct 7-10 8 24 30 38 * *
2009 Oct 1-4 11 20 35 34 * *
2008 Oct 3-5 11 18 34 35 * 1
2007 Oct 4-7 10 19 37 33 1 *
2006 Oct 9-12 9 24 33 33 * 1
2005 Oct 13-16 7 21 35 37 * --
2004 Oct 11-14 9 18 35 38 -- *
2003 Oct 6-8 9 19 35 37 * --
2002 Oct 14-17 8 18 33 40 * 1
2001 Oct 11-14 6 17 36 41 * *
2000 Aug 29-Sep 5 9 21 33 36 1 *
* Less than 0.5%      



TEGRA_table_txt_file: table_8097.txt
TEGRA_TABLE_TEXT:  % % % % % %
2011 Oct 6-9 11 23 32 33 * 1
2010 Oct 7-10 8 24 30 38 * *
2009 Oct 1-4 11 20 35 34 * *
2008 Oct 3-5 11 18 34 35 * 1
2007 Oct 4-7 10 19 37 33 1 *
2006 Oct 9-12 9 24 33 33 * 1
2005 Oct 13-16 7 21 35 37 * --
2004 Oct 11-14 9 18 35 38 -- *
2003 Oct 6-8 9 19 35 37 * --
2002 Oct 14-17 8 18 33 40 * 1
2001 Oct 11-14 6 17 36 41 * *
2000 Aug 29-Sep 5 9 21 33 36 1 *
* Less than 0.5%      
label: ||%||%||%||%||%||%
2011 Oct 6-9||11||23||32||33||*||1
2010 Oct 7-10||8||24||30||38||*||*
2009 Oct 1-4||11||20||35||34||*||*
2008 Oct 3-5||11||18||34||35||*||1
2007 Oct 4-7||10||19||37||33||1||*
2006 Oct 9-12||9||24||33||33||*||1
2005 Oct 13-16||7||21||35||37||*||--
2004 Oct 11-14||9||18||35||38||--||*
2003 Oct 6-8||9||19||35||37||*||--
2002 Oct 14-17||8||18||33||40||*||1
2001 Oct 11-14||6||17||36||41||*||*
2000 Aug 29-Sep 5||9||21||33||36||1||*
* Less than 0.5%||||||||||||
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:
Temperatura máxima media anual: 25.1&deg;C 365
Temperatura mínima media anual: 13.4&deg;C 365
Humedad media anual: 61.1% 365
Precipitación total acumulada anual: 0.00 mm 365
Visibilidad media anual: 21.2 Km 365



TEGRA_table_txt_file: table_1321.txt
TEGRA_TABLE_TEXT: Temperatura máxima media anual: 25.1&deg;C 365
Temperatura mínima media anual: 13.4&deg;C 365
Humedad media anual: 61.1% 365
Precipitación total acumulada anual: 0.00 mm 365
Visibilidad media anual: 21.2 Km 365
label: Temperatura máxima media anual:||25.1&deg;C||365
Temperatura mínima media anual:||13.4&deg;C||365
Humedad media anual:||61.1%||365
Precipitación total acumulada anual:||0.00 mm||365
Visibilidad media anual:||21.2 Km||365
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:
Johnson Investment Counsel June 30, 2011 3.01M $219.87M
Capital Growth Management June 30, 2011 1.74M $180.07M
Neuberger Berman March 31, 2011 4.07M $445.97M
Wells Fargo & Company Dec. 31, 2010 3.68M $420.86M
Rainier Investment Management Dec. 31, 2010 2.06M $226.91M
Artisan Partners Holdings Dec. 31, 2010 1.90M $208.80M
Maverick Capital Sept. 30, 2009 2.65M $118.69M



TEGRA_table_txt_file: table_5270.txt
TEGRA_TABLE_TEXT: Johnson Investment Counsel June 30, 2011 3.01M $219.87M
Capital Growth Management June 30, 2011 1.74M $180.07M
Neuberger Berman March 31, 2011 4.07M $445.97M
Wells Fargo & Company Dec. 31, 2010 3.68M $420.86M
Rainier Investment Management Dec. 31, 2010 2.06M $226.91M
Artisan Partners Holdings Dec. 31, 2010 1.90M $208.80M
Maverick Capital Sept. 30, 2009 2.65M $118.69M
label: Johnson Investment Counsel||June 30, 2011||3.01M||$219.87M
Capital Growth Management||June 30, 2011||1.74M||$180.07M
Neuberger Berman||March 31, 2011||4.07M||$445.97M
Wells Fargo & Company||Dec. 31, 2010||3.68M||$420.86M
Rainier Investment Management||Dec. 31, 2010||2.06M||$226.91M
Artisan Partners Holdings||Dec. 31, 2010||1.90M||$208.80M
Maverick Capital||Sept. 30, 2009||2.65M||$118.69M
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 Back Pocket Nils 4:17 $0.99 View In iTunes
3 Georgy Porgy Nils 4:52 $0.99 View In iTunes
4 Coming Home Nils 4:46 $0.99 View In iTunes
5 You've Got a Friend Nils 5:12 $0.99 View In iTunes
6 Cruisin' Nils 4:42 $0.99 View In iTunes
7 Sneakin' Nils 5:02 $0.99 View In iTunes
8 Summer Nights Nils 3:58 $0.99 View In iTunes
9 Hey Ya Nils 4:53 $0.99 View In iTunes
10 Keep Rollin' Nils 4:57 $0.99 View In iTunes
11 Kona Girl Nils 3:29 $0.99 View In iTunes



TEGRA_table_txt_file: table_221.txt
TEGRA_TABLE_TEXT: 2 Back Pocket Nils 4:17 $0.99 View In iTunes
3 Georgy Porgy Nils 4:52 $0.99 View In iTunes
4 Coming Home Nils 4:46 $0.99 View In iTunes
5 You've Got a Friend Nils 5:12 $0.99 View In iTunes
6 Cruisin' Nils 4:42 $0.99 View In iTunes
7 Sneakin' Nils 5:02 $0.99 View In iTunes
8 Summer Nights Nils 3:58 $0.99 View In iTunes
9 Hey Ya Nils 4:53 $0.99 View In iTunes
10 Keep Rollin' Nils 4:57 $0.99 View In iTunes
11 Kona Girl Nils 3:29 $0.99 View In iTunes
label: 2||Back Pocket||Nils||4:17||$0.99||View In iTunes
3||Georgy Porgy||Nils||4:52||$0.99||View In iTunes
4||Coming Home||Nils||4:46||$0.99||View In iTunes
5||You've Got a Friend||Nils||5:12||$0.99||View In iTunes
6||Cruisin'||Nils||4:42||$0.99||View In iTunes
7||Sneakin'||Nils||5:02||$0.99||View In iTunes
8||Summer Nights||Nils||3:58||$0.99||View In iTunes
9||Hey Ya||Nils||4:53||$0.99||View In iTunes
10||Keep Rollin'||Nils||4:57||$0.99||View In iTunes
11||Kona Girl||Nils||3:29||$0.99||View In iTunes
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:
Ancho sin espejos 1740 mm 1669 mm 1722 mm 1735 mm
Ancho con espejos 2000 mm  1976 mm 
Alto 1470 mm 1441 mm 1476 mm 1517 mm
Distancia entre ejes 2540 mm 2443 mm 2489 mm 2525 mm
Baúl 318 dm3 245/1130 dm3 281 dm3 253 dm3
Tanque de combustible 55 lts 50 lts 47 lts 46 lts
Peso 1096 kg 1033 kg 1248 kg N/D
Capacidad de carga N/D 500 kg N/D 



TEGRA_table_txt_file: table_506.txt
TEGRA_TABLE_TEXT: Ancho sin espejos 1740 mm 1669 mm 1722 mm 1735 mm
Ancho con espejos 2000 mm  1976 mm 
Alto 1470 mm 1441 mm 1476 mm 1517 mm
Distancia entre ejes 2540 mm 2443 mm 2489 mm 2525 mm
Baúl 318 dm3 245/1130 dm3 281 dm3 253 dm3
Tanque de combustible 55 lts 50 lts 47 lts 46 lts
Peso 1096 kg 1033 kg 1248 kg N/D
Capacidad de carga N/D 500 kg N/D 
label: Ancho sin espejos||1740 mm||1669 mm||1722 mm||1735 mm
Ancho con espejos||2000 mm||||1976 mm||
Alto||1470 mm||1441 mm||1476 mm||1517 mm
Distancia entre ejes||2540 mm||2443 mm||2489 mm||2525 mm
Baúl||318 dm3||245/1130 dm3||281 dm3||253 dm3
Tanque de combustible||55 lts||50 lts||47 lts||46 lts
Peso||1096 kg||1033 kg||1248 kg||N/D
Capacidad de carga||N/D||500 kg||N/D||
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:
WTA Championships (0) 
Prima del 2009 Dal 2009
Tier I (0) Premier Mandatory (0)
Tier II (1) Premier 5 (0)
Tier III (0) Premier (0)



TEGRA_table_txt_file: table_6433.txt
TEGRA_TABLE_TEXT: WTA Championships (0) 
Prima del 2009 Dal 2009
Tier I (0) Premier Mandatory (0)
Tier II (1) Premier 5 (0)
Tier III (0) Premier (0)
label: WTA Championships (0)||
Prima del 2009||Dal 2009
Tier I (0)||Premier Mandatory (0)
Tier II (1)||Premier 5 (0)
Tier III (0)||Premier (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:
2 3 So in Love GUYON M. FABRE (S) A. 3.4
3 4 Konkan DEMURO C. LUIGI RICCARDI RACING SRL 10
4 1 Ming Zhi Cosmos PASQUIER S. CLEMENT (S) N. 10
5 2 Sugar Love STARKE A. SCHIERGEN P. 6.6
6 6 Elusive Pearl BLONDEL F. ROSSI F. 2.3



TEGRA_table_txt_file: table_860.txt
TEGRA_TABLE_TEXT: 2 3 So in Love GUYON M. FABRE (S) A. 3.4
3 4 Konkan DEMURO C. LUIGI RICCARDI RACING SRL 10
4 1 Ming Zhi Cosmos PASQUIER S. CLEMENT (S) N. 10
5 2 Sugar Love STARKE A. SCHIERGEN P. 6.6
6 6 Elusive Pearl BLONDEL F. ROSSI F. 2.3
label: 2||3||So in Love||GUYON M.||FABRE (S) A.||3.4
3||4||Konkan||DEMURO C.||LUIGI RICCARDI RACING SRL||10
4||1||Ming Zhi Cosmos||PASQUIER S.||CLEMENT (S) N.||10
5||2||Sugar Love||STARKE A.||SCHIERGEN P.||6.6
6||6||Elusive Pearl||BLONDEL F.||ROSSI F.||2.3
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:
CompanyName nvarchar 40 No
ContactName nvarchar 30 Yes
ContactTitle nvarchar 30 Yes
Dirección nvarchar 60 Yes
Ciudad nvarchar 15 Yes
Región nvarchar 15 Yes
PostalCode nvarchar 10 Yes
País nvarchar 15 Yes
Teléfono nvarchar 24 Yes



TEGRA_table_txt_file: table_4506.txt
TEGRA_TABLE_TEXT: CompanyName nvarchar 40 No
ContactName nvarchar 30 Yes
ContactTitle nvarchar 30 Yes
Dirección nvarchar 60 Yes
Ciudad nvarchar 15 Yes
Región nvarchar 15 Yes
PostalCode nvarchar 10 Yes
País nvarchar 15 Yes
Teléfono nvarchar 24 Yes
label: CompanyName||nvarchar||40||No
ContactName||nvarchar||30||Yes
ContactTitle||nvarchar||30||Yes
Dirección||nvarchar||60||Yes
Ciudad||nvarchar||15||Yes
Región||nvarchar||15||Yes
PostalCode||nvarchar||10||Yes
País||nvarchar||15||Yes
Teléfono||nvarchar||24||Yes
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:
Clayton Blackburn 63 97 2.51
Zach Lee 52 86 2.42
Hak-Ju Lee 23 76 2.22
Matt Davidson 50 81 2.17
Dan Straily 66 94 2.16



TEGRA_table_txt_file: table_5895.txt
TEGRA_TABLE_TEXT: Clayton Blackburn 63 97 2.51
Zach Lee 52 86 2.42
Hak-Ju Lee 23 76 2.22
Matt Davidson 50 81 2.17
Dan Straily 66 94 2.16
label: Clayton Blackburn||63||97||2.51
Zach Lee||52||86||2.42
Hak-Ju Lee||23||76||2.22
Matt Davidson||50||81||2.17
Dan Straily||66||94||2.16
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:
48 Lisa Ave, Plymouth MA 0.15 Single-Family Home $273,000 03/15/13 4 1.5 2,023
45 Pinewood Rd, Plymouth MA 0.38 Single-Family Home $292,000 02/28/13 3 2 2,323
220 Carver Rd, Plymouth MA 0.64 Single-Family Home $264,900 05/20/13 3 2.5 1,344
48 Musket Rd, Plymouth MA 0.67 Single-Family Home $267,500 01/18/13 3 1.5 2,238
10 Surrey Dr, Plymouth MA 0.70 Single-Family Home $223,000 05/13/13 2 2 1,818
91 Esta Rd, Plymouth MA 0.74 Single-Family Home $279,500 07/26/13 2 1 3,231
34 Lawrence Rd, Plymouth MA 0.74 Single-Family Home $275,000 05/31/13 4 1.5 1,666
10 Musket Rd, Plymouth MA 0.76 Single-Family Home $277,500 03/29/13 4 2 2,234



TEGRA_table_txt_file: table_1025.txt
TEGRA_TABLE_TEXT: 48 Lisa Ave, Plymouth MA 0.15 Single-Family Home $273,000 03/15/13 4 1.5 2,023
45 Pinewood Rd, Plymouth MA 0.38 Single-Family Home $292,000 02/28/13 3 2 2,323
220 Carver Rd, Plymouth MA 0.64 Single-Family Home $264,900 05/20/13 3 2.5 1,344
48 Musket Rd, Plymouth MA 0.67 Single-Family Home $267,500 01/18/13 3 1.5 2,238
10 Surrey Dr, Plymouth MA 0.70 Single-Family Home $223,000 05/13/13 2 2 1,818
91 Esta Rd, Plymouth MA 0.74 Single-Family Home $279,500 07/26/13 2 1 3,231
34 Lawrence Rd, Plymouth MA 0.74 Single-Family Home $275,000 05/31/13 4 1.5 1,666
10 Musket Rd, Plymouth MA 0.76 Single-Family Home $277,500 03/29/13 4 2 2,234
label: 48 Lisa Ave, Plymouth MA||0.15||Single-Family Home||$273,000||03/15/13||4||1.5||2,023
45 Pinewood Rd, Plymouth MA||0.38||Single-Family Home||$292,000||02/28/13||3||2||2,323
220 Carver Rd, Plymouth MA||0.64||Single-Family Home||$264,900||05/20/13||3||2.5||1,344
48 Musket Rd, Plymouth MA||0.67||Single-Family Home||$267,500||01/18/13||3||1.5||2,238
10 Surrey Dr, Plymouth MA||0.70||Single-Family Home||$223,000||05/13/13||2||2||1,818
91 Esta Rd, Plymouth MA||0.74||Single-Family Home||$279,500||07/26/13||2||1||3,231
34 Lawrence Rd, Plymouth MA||0.74||Single-Family Home||$275,000||05/31/13||4||1.5||1,666
10 Musket Rd, Plymouth MA||0.76||Single-Family Home||$277,500||03/29/13||4||2||2,234
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
 Team Pld W D L PF PA GD Pts
1 Barcelona 24 19 4 1 59 14 45 61
2 Real Madrid 24 19 2 3 64 18 46 59
3 Valencia 24 13 7 4 42 26 16 46
4 Sevilla 24 13 4 7 36 25 11 43
5 Real Mallorca 24 12 4 8 38 28 10 40
6 Deportivo La Coruna 24 11 5 8 26 26 0 38
7 Athletic Bilbao 24 11 3 10 32 30 2 36
8 Villareal 24 9 5 10 36 37 -1 32
9 Getafe 24 10 2 12 31 32 -1 32
10 Gijon 24 8 7 9 28 29 -1 31
11 Atletico Madrid 24 8 6 10 37 37 0 30
12 Osasuna 24 8 6 10 24 26 -2 30
13 Almeria 24 7 8 9 27 33 -6 29
14 Malaga 24 6 9 9 29 29 0 27
15 Espanyol 24 7 6 11 18 32 -14 27
16 Racing Santander 24 6 7 11 24 37 -13 25
17 Real Zaragoza 24 6 6 12 29 47 -18 24
18 Real Valladolid 24 3 11 10 27 42 -15 20
19 Tenerife 24 5 5 14 20 49 -29 20



TEGRA_table_txt_file: table_5777.txt
TEGRA_TABLE_TEXT:  Team Pld W D L PF PA GD Pts
1 Barcelona 24 19 4 1 59 14 45 61
2 Real Madrid 24 19 2 3 64 18 46 59
3 Valencia 24 13 7 4 42 26 16 46
4 Sevilla 24 13 4 7 36 25 11 43
5 Real Mallorca 24 12 4 8 38 28 10 40
6 Deportivo La Coruna 24 11 5 8 26 26 0 38
7 Athletic Bilbao 24 11 3 10 32 30 2 36
8 Villareal 24 9 5 10 36 37 -1 32
9 Getafe 24 10 2 12 31 32 -1 32
10 Gijon 24 8 7 9 28 29 -1 31
11 Atletico Madrid 24 8 6 10 37 37 0 30
12 Osasuna 24 8 6 10 24 26 -2 30
13 Almeria 24 7 8 9 27 33 -6 29
14 Malaga 24 6 9 9 29 29 0 27
15 Espanyol 24 7 6 11 18 32 -14 27
16 Racing Santander 24 6 7 11 24 37 -13 25
17 Real Zaragoza 24 6 6 12 29 47 -18 24
18 Real Valladolid 24 3 11 10 27 42 -15 20
19 Tenerife 24 5 5 14 20 49 -29 20
label: ||Team||Pld||W||D||L||PF||PA||GD||Pts
1||Barcelona||24||19||4||1||59||14||45||61
2||Real Madrid||24||19||2||3||64||18||46||59
3||Valencia||24||13||7||4||42||26||16||46
4||Sevilla||24||13||4||7||36||25||11||43
5||Real Mallorca||24||12||4||8||38||28||10||40
6||Deportivo La Coruna||24||11||5||8||26||26||0||38
7||Athletic Bilbao||24||11||3||10||32||30||2||36
8||Villareal||24||9||5||10||36||37||-1||32
9||Getafe||24||10||2||12||31||32||-1||32
10||Gijon||24||8||7||9||28||29||-1||31
11||Atletico Madrid||24||8||6||10||37||37||0||30
12||Osasuna||24||8||6||10||24||26||-2||30
13||Almeria||24||7||8||9||27||33||-6||29
14||Malaga||24||6||9||9||29||29||0||27
15||Espanyol||24||7||6||11||18||32||-14||27
16||Racing Santander||24||6||7||11||24||37||-13||25
17||Real Zaragoza||24||6||6||12||29||47||-18||24
18||Real Valladolid||24||3||11||10||27||42||-15||20
19||Tenerife||24||5||5||14||20||49||-29||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:
Language Language code (ISO 639-1) 2
ID Unique identifier 50532
ISO2 Region code (ISO 3166-2) 16
Region1 Admin. region 1 (Metropolitan) 16
Region2 Admin. region 2 (City) 249
Region3 - 0
Region4 - 0
ZIP ZIP or Postal code 30240
City Locality name 6213
Area1 District, Block, Street 44332
Area2 - 0
Lat Geographic latitude 18439
Lng Geographic longitude 18439
TZ Time zone (Olson) 1
UTC UTC offset 1



TEGRA_table_txt_file: table_6104.txt
TEGRA_TABLE_TEXT: Language Language code (ISO 639-1) 2
ID Unique identifier 50532
ISO2 Region code (ISO 3166-2) 16
Region1 Admin. region 1 (Metropolitan) 16
Region2 Admin. region 2 (City) 249
Region3 - 0
Region4 - 0
ZIP ZIP or Postal code 30240
City Locality name 6213
Area1 District, Block, Street 44332
Area2 - 0
Lat Geographic latitude 18439
Lng Geographic longitude 18439
TZ Time zone (Olson) 1
UTC UTC offset 1
label: Language||Language code (ISO 639-1)||2
ID||Unique identifier||50532
ISO2||Region code (ISO 3166-2)||16
Region1||Admin. region 1 (Metropolitan)||16
Region2||Admin. region 2 (City)||249
Region3||-||0
Region4||-||0
ZIP||ZIP or Postal code||30240
City||Locality name||6213
Area1||District, Block, Street||44332
Area2||-||0
Lat||Geographic latitude||18439
Lng||Geographic longitude||18439
TZ||Time zone (Olson)||1
UTC||UTC offset||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:
Wind speed (kts) 11 9 7 8 11 10 11 5 11 5
Wind gusts (kts) 14 11 8 8 12 13 14 7 15 6
Wave direction          
Wave height (m) 1.0 1.1 1.2 1.3 1.4 1.4 1.4 1.3 1.2 1.2
Wave period (s) 10 10 10 9 8 8 8 8 8 8
Cloud cover          
Precipitation (mm/3h) 0 0 0 0 0 1 2 0 0 0
Air pressure (hPa) 1018 1018 1020 1020 1018 1018 1019 1019 1018 1018



TEGRA_table_txt_file: table_1023.txt
TEGRA_TABLE_TEXT: Wind speed (kts) 11 9 7 8 11 10 11 5 11 5
Wind gusts (kts) 14 11 8 8 12 13 14 7 15 6
Wave direction          
Wave height (m) 1.0 1.1 1.2 1.3 1.4 1.4 1.4 1.3 1.2 1.2
Wave period (s) 10 10 10 9 8 8 8 8 8 8
Cloud cover          
Precipitation (mm/3h) 0 0 0 0 0 1 2 0 0 0
Air pressure (hPa) 1018 1018 1020 1020 1018 1018 1019 1019 1018 1018
label: Wind speed (kts)||11||9||7||8||11||10||11||5||11||5
Wind gusts (kts)||14||11||8||8||12||13||14||7||15||6
Wave direction||||||||||||||||||||
Wave height (m)||1.0||1.1||1.2||1.3||1.4||1.4||1.4||1.3||1.2||1.2
Wave period (s)||10||10||10||9||8||8||8||8||8||8
Cloud cover||||||||||||||||||||
Precipitation (mm/3h)||0||0||0||0||0||1||2||0||0||0
Air pressure (hPa)||1018||1018||1020||1020||1018||1018||1019||1019||1018||1018
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 Daniele Bennati (ITA) Liquigas s.t.
3 Koldo Fernández (ESP) Euskaltel-Euskadi s.t.
4 Erik Zabel (GER) Team Milram s.t.
5 Julian Dean (NZL) Slipstream-Chipotle s.t.
6 Mirco Lorenzetto (ITA) Lampre s.t.
7 Alexandre Usov (BLR) Ag2r-La Mondiale s.t.
8 Nikolay Trusov (RUS) Tinkoff Credit Systems s.t.
9 Robbie McEwen (AUS) Silence-Lotto s.t.



TEGRA_table_txt_file: table_4780.txt
TEGRA_TABLE_TEXT: 2 Daniele Bennati (ITA) Liquigas s.t.
3 Koldo Fernández (ESP) Euskaltel-Euskadi s.t.
4 Erik Zabel (GER) Team Milram s.t.
5 Julian Dean (NZL) Slipstream-Chipotle s.t.
6 Mirco Lorenzetto (ITA) Lampre s.t.
7 Alexandre Usov (BLR) Ag2r-La Mondiale s.t.
8 Nikolay Trusov (RUS) Tinkoff Credit Systems s.t.
9 Robbie McEwen (AUS) Silence-Lotto s.t.
label: 2||Daniele Bennati (ITA)||Liquigas||s.t.
3||Koldo Fernández (ESP)||Euskaltel-Euskadi||s.t.
4||Erik Zabel (GER)||Team Milram||s.t.
5||Julian Dean (NZL)||Slipstream-Chipotle||s.t.
6||Mirco Lorenzetto (ITA)||Lampre||s.t.
7||Alexandre Usov (BLR)||Ag2r-La Mondiale||s.t.
8||Nikolay Trusov (RUS)||Tinkoff Credit Systems||s.t.
9||Robbie McEwen (AUS)||Silence-Lotto||s.t.
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:
107 WHITE/BLACK 107 6185 4238 1558 5545 4562 1260 N/A
111 WHITE/NAVY 2840 4427 3120 2049 1723 2384 622 774
 YS YM YL AS AM AL AXL A2XL
112 WHITE/ROYAL 1661 3244 631 2216 N/A 108 N/A 2242
122 WHITE/SOFT PINK 612 3339 1419 1074 1417 409 3171 38
924 WHITE/DARK GREEN 1485 3313 1346 1496 1689 1949 1299 N/A
 YS YM YL AS AM AL AXL A2XL
925 WHITE/MAROON 250 100 424 1043 138 24 N/A 70
926 WHITE/KELLY 2504 2878 2121 269 N/A 188 74 N/A
927 WHITE/COLUMBIA BLUE 2984 3994 2799 N/A N/A N/A N/A N/A
 YS YM YL AS AM AL AXL A2XL
928 WHITE/TEAL 2351 618 1873 2068 1704 314 N/A N/A
929 WHITE/PURPLE 1070 1848 1284 N/A 1836 118 128 959
930 WHITE/GOLD 622 1776 757 1688 1397 1171 1389 N/A
 YS YM YL AS AM AL AXL A2XL



TEGRA_table_txt_file: table_9474.txt
TEGRA_TABLE_TEXT: 107 WHITE/BLACK 107 6185 4238 1558 5545 4562 1260 N/A
111 WHITE/NAVY 2840 4427 3120 2049 1723 2384 622 774
 YS YM YL AS AM AL AXL A2XL
112 WHITE/ROYAL 1661 3244 631 2216 N/A 108 N/A 2242
122 WHITE/SOFT PINK 612 3339 1419 1074 1417 409 3171 38
924 WHITE/DARK GREEN 1485 3313 1346 1496 1689 1949 1299 N/A
 YS YM YL AS AM AL AXL A2XL
925 WHITE/MAROON 250 100 424 1043 138 24 N/A 70
926 WHITE/KELLY 2504 2878 2121 269 N/A 188 74 N/A
927 WHITE/COLUMBIA BLUE 2984 3994 2799 N/A N/A N/A N/A N/A
 YS YM YL AS AM AL AXL A2XL
928 WHITE/TEAL 2351 618 1873 2068 1704 314 N/A N/A
929 WHITE/PURPLE 1070 1848 1284 N/A 1836 118 128 959
930 WHITE/GOLD 622 1776 757 1688 1397 1171 1389 N/A
 YS YM YL AS AM AL AXL A2XL
label: 107 WHITE/BLACK||107||6185||4238||1558||5545||4562||1260||N/A
111 WHITE/NAVY||2840||4427||3120||2049||1723||2384||622||774
||YS||YM||YL||AS||AM||AL||AXL||A2XL
112 WHITE/ROYAL||1661||3244||631||2216||N/A||108||N/A||2242
122 WHITE/SOFT PINK||612||3339||1419||1074||1417||409||3171||38
924 WHITE/DARK GREEN||1485||3313||1346||1496||1689||1949||1299||N/A
||YS||YM||YL||AS||AM||AL||AXL||A2XL
925 WHITE/MAROON||250||100||424||1043||138||24||N/A||70
926 WHITE/KELLY||2504||2878||2121||269||N/A||188||74||N/A
927 WHITE/COLUMBIA BLUE||2984||3994||2799||N/A||N/A||N/A||N/A||N/A
||YS||YM||YL||AS||AM||AL||AXL||A2XL
928 WHITE/TEAL||2351||618||1873||2068||1704||314||N/A||N/A
929 WHITE/PURPLE||1070||1848||1284||N/A||1836||118||128||959
930 WHITE/GOLD||622||1776||757||1688||1397||1171||1389||N/A
||YS||YM||YL||AS||AM||AL||AXL||A2XL