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:
Week Date Opp. Rec Yds Lg TD
1 9/8/13 BUF 0 0 0 0
2 9/12/13 NYJ 0 0 0 0
3 9/22/13 TB 0 0 0 0
4 9/29/13 ATL 0 0 0 0
5 10/6/13 CIN 0 0 0 0
6 10/13/13 NO 0 0 0 0



TEGRA_table_txt_file: table_938.txt
TEGRA_TABLE_TEXT: Week Date Opp. Rec Yds Lg TD
1 9/8/13 BUF 0 0 0 0
2 9/12/13 NYJ 0 0 0 0
3 9/22/13 TB 0 0 0 0
4 9/29/13 ATL 0 0 0 0
5 10/6/13 CIN 0 0 0 0
6 10/13/13 NO 0 0 0 0
label: Week||Date||Opp.||Rec||Yds||Lg||TD
1||9/8/13||BUF||0||0||0||0
2||9/12/13||NYJ||0||0||0||0
3||9/22/13||TB||0||0||0||0
4||9/29/13||ATL||0||0||0||0
5||10/6/13||CIN||0||0||0||0
6||10/13/13||NO||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:
2 Borussia Dortmund 9 7 1 1 22 - 7 22
3 Bayer 04 Leverkusen 9 7 1 1 20 - 9 22
4 Hertha Berlin 9 4 3 2 15 - 9 15
5 Schalke 04 9 4 2 3 17 - 19 14
6 Borussia Mönchengladbach 9 4 1 4 19 - 14 13
7 Hannover 96 9 4 1 4 11 - 12 13
8 Stuttgart 9 3 3 3 19 - 13 12
9 Wolfsburg 9 4 0 5 11 - 12 12
10 Werder Bremen 9 3 3 3 9 - 12 12
11 1899 Hoffenheim 9 2 4 3 21 - 22 10
12 Eintracht Frankfurt 9 2 4 3 12 - 14 10
13 Augsburg 9 3 1 5 10 - 17 10
14 Mainz 05 9 3 1 5 13 - 21 10
15 Hamburg 9 2 3 4 20 - 22 9
16 Nürnberg 9 0 6 3 10 - 18 6
17 Freiburg 9 0 5 4 9 - 18 5



TEGRA_table_txt_file: table_3055.txt
TEGRA_TABLE_TEXT: 2 Borussia Dortmund 9 7 1 1 22 - 7 22
3 Bayer 04 Leverkusen 9 7 1 1 20 - 9 22
4 Hertha Berlin 9 4 3 2 15 - 9 15
5 Schalke 04 9 4 2 3 17 - 19 14
6 Borussia Mönchengladbach 9 4 1 4 19 - 14 13
7 Hannover 96 9 4 1 4 11 - 12 13
8 Stuttgart 9 3 3 3 19 - 13 12
9 Wolfsburg 9 4 0 5 11 - 12 12
10 Werder Bremen 9 3 3 3 9 - 12 12
11 1899 Hoffenheim 9 2 4 3 21 - 22 10
12 Eintracht Frankfurt 9 2 4 3 12 - 14 10
13 Augsburg 9 3 1 5 10 - 17 10
14 Mainz 05 9 3 1 5 13 - 21 10
15 Hamburg 9 2 3 4 20 - 22 9
16 Nürnberg 9 0 6 3 10 - 18 6
17 Freiburg 9 0 5 4 9 - 18 5
label: 2||Borussia Dortmund||9||7||1||1||22 - 7||22
3||Bayer 04 Leverkusen||9||7||1||1||20 - 9||22
4||Hertha Berlin||9||4||3||2||15 - 9||15
5||Schalke 04||9||4||2||3||17 - 19||14
6||Borussia Mönchengladbach||9||4||1||4||19 - 14||13
7||Hannover 96||9||4||1||4||11 - 12||13
8||Stuttgart||9||3||3||3||19 - 13||12
9||Wolfsburg||9||4||0||5||11 - 12||12
10||Werder Bremen||9||3||3||3||9 - 12||12
11||1899 Hoffenheim||9||2||4||3||21 - 22||10
12||Eintracht Frankfurt||9||2||4||3||12 - 14||10
13||Augsburg||9||3||1||5||10 - 17||10
14||Mainz 05||9||3||1||5||13 - 21||10
15||Hamburg||9||2||3||4||20 - 22||9
16||Nürnberg||9||0||6||3||10 - 18||6
17||Freiburg||9||0||5||4||9 - 18||5
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
20 01/07/2013 08/07/2013
1 04/07/2013 08/07/2013
23/1, 28/1, 29/1 04/07/2013 08/07/2013
2 05/07/2013 09/07/2013
3 06/07/2013 TB 10/07/2013
22/1,26/1, 27/1 06/07/2013 TB 10/07/2013
4 07/07/2013 CN 11/07/2013
5 08/07/2013 12/07/2013
6 11/07/2013 14/07/2013 CN
7 12/07/2013 15/07/2013
8 13/07/2013 TB 16/07/2013
9 14/07/2013 CN 17/07/2013
23/2, 28/2, 29/2 14/07/2013 CN 17/07/2013
10 15/07/2013 18/07/2013
11 16/07/2013 19/07/2013
12 17/07/2013 20/07/2013 TB
13 18/07/2013 22/07/2013
14 20/07/2013 TB 23/07/2013
15 21/07/2013 CN 24/07/2013
16 22/07/2013 25/07/2013
22/2, 26/2, 27/2 22/07/2013 25/07/2013
17 23/07/2013 26/07/2013
18 24/07/2013 27/07/2013 TB
23/3, 28/3, 29/3 24/07/2013 26/07/2013



TEGRA_table_txt_file: table_6593.txt
TEGRA_TABLE_TEXT: 20 01/07/2013 08/07/2013
1 04/07/2013 08/07/2013
23/1, 28/1, 29/1 04/07/2013 08/07/2013
2 05/07/2013 09/07/2013
3 06/07/2013 TB 10/07/2013
22/1,26/1, 27/1 06/07/2013 TB 10/07/2013
4 07/07/2013 CN 11/07/2013
5 08/07/2013 12/07/2013
6 11/07/2013 14/07/2013 CN
7 12/07/2013 15/07/2013
8 13/07/2013 TB 16/07/2013
9 14/07/2013 CN 17/07/2013
23/2, 28/2, 29/2 14/07/2013 CN 17/07/2013
10 15/07/2013 18/07/2013
11 16/07/2013 19/07/2013
12 17/07/2013 20/07/2013 TB
13 18/07/2013 22/07/2013
14 20/07/2013 TB 23/07/2013
15 21/07/2013 CN 24/07/2013
16 22/07/2013 25/07/2013
22/2, 26/2, 27/2 22/07/2013 25/07/2013
17 23/07/2013 26/07/2013
18 24/07/2013 27/07/2013 TB
23/3, 28/3, 29/3 24/07/2013 26/07/2013
label: 20||01/07/2013||08/07/2013
1||04/07/2013||08/07/2013
23/1, 28/1, 29/1||04/07/2013||08/07/2013
2||05/07/2013||09/07/2013
3||06/07/2013 TB||10/07/2013
22/1,26/1, 27/1||06/07/2013 TB||10/07/2013
4||07/07/2013 CN||11/07/2013
5||08/07/2013||12/07/2013
6||11/07/2013||14/07/2013 CN
7||12/07/2013||15/07/2013
8||13/07/2013 TB||16/07/2013
9||14/07/2013 CN||17/07/2013
23/2, 28/2, 29/2||14/07/2013 CN||17/07/2013
10||15/07/2013||18/07/2013
11||16/07/2013||19/07/2013
12||17/07/2013||20/07/2013 TB
13||18/07/2013||22/07/2013
14||20/07/2013 TB||23/07/2013
15||21/07/2013 CN||24/07/2013
16||22/07/2013||25/07/2013
22/2, 26/2, 27/2||22/07/2013||25/07/2013
17||23/07/2013||26/07/2013
18||24/07/2013||27/07/2013 TB
23/3, 28/3, 29/3||24/07/2013||26/07/2013
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:
2 6 2 2 2 1 era Parte
3 9 3 3 3 1 era Parte
4 12 4 4 4 Medio Tiempo
5 15 5 5 5 Medio Tiempo
6 18 6 6 6 Medio Tiempo
7 21 7 7 7 Tiempo completo
8 24 8 8 8 Tiempo completo
9 27 9 9 9 Tiempo completo



TEGRA_table_txt_file: table_1701.txt
TEGRA_TABLE_TEXT: 2 6 2 2 2 1 era Parte
3 9 3 3 3 1 era Parte
4 12 4 4 4 Medio Tiempo
5 15 5 5 5 Medio Tiempo
6 18 6 6 6 Medio Tiempo
7 21 7 7 7 Tiempo completo
8 24 8 8 8 Tiempo completo
9 27 9 9 9 Tiempo completo
label: 2||6||2||2||2||1 era Parte
3||9||3||3||3||1 era Parte
4||12||4||4||4||Medio Tiempo
5||15||5||5||5||Medio Tiempo
6||18||6||6||6||Medio Tiempo
7||21||7||7||7||Tiempo completo
8||24||8||8||8||Tiempo completo
9||27||9||9||9||Tiempo completo
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:
Model Cap. Lbs. Platform Size Lowered Height Raised Height Lift Speed Price
LPBL-10-1 1,100 31.5 X 55 3 1/4" 34" 10 $3,648.00
LPBL-10-2 1,100 39.5 X 55 3 1/4" 34" 10 $3,706.00
LPBL-20-1 2,200 31.5 X 55 3 1/4" 34' 18 $4,090.00
LPBL-20-2 2,200 39.5 x 55 3 1/4" 34" 18 $4,122.00
LPBL-30-1 3,300 31.5 X 61 3 5/8" 33 1/8" 25 $5,703.00
LPBL-30-2 3,300 39.5 X 61 3 5/8" 33 1/8" 25 $5,740.00



TEGRA_table_txt_file: table_9993.txt
TEGRA_TABLE_TEXT: Model Cap. Lbs. Platform Size Lowered Height Raised Height Lift Speed Price
LPBL-10-1 1,100 31.5 X 55 3 1/4" 34" 10 $3,648.00
LPBL-10-2 1,100 39.5 X 55 3 1/4" 34" 10 $3,706.00
LPBL-20-1 2,200 31.5 X 55 3 1/4" 34' 18 $4,090.00
LPBL-20-2 2,200 39.5 x 55 3 1/4" 34" 18 $4,122.00
LPBL-30-1 3,300 31.5 X 61 3 5/8" 33 1/8" 25 $5,703.00
LPBL-30-2 3,300 39.5 X 61 3 5/8" 33 1/8" 25 $5,740.00
label: Model||Cap. Lbs.||Platform Size||Lowered Height||Raised Height||Lift Speed||Price
LPBL-10-1||1,100||31.5 X 55||3 1/4"||34"||10||$3,648.00
LPBL-10-2||1,100||39.5 X 55||3 1/4"||34"||10||$3,706.00
LPBL-20-1||2,200||31.5 X 55||3 1/4"||34'||18||$4,090.00
LPBL-20-2||2,200||39.5 x 55||3 1/4"||34"||18||$4,122.00
LPBL-30-1||3,300||31.5 X 61||3 5/8"||33 1/8"||25||$5,703.00
LPBL-30-2||3,300||39.5 X 61||3 5/8"||33 1/8"||25||$5,740.00
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:
Life.of.Pi.2012.1080p.WEB-DL.H264-CrazyHD [PublicHD] extraTorrent 8 months ago
Life.of.Pi.2012.1080p.WEB-DL.H264-CrazyHD [PublicHD] Torrentdownloads 8 months ago
Life.of.Pi.2012.1080p.WEB-DL.H264-CrazyHD [PublicHD] Limetorrents 8 months ago
Life.of.Pi.2012.1080p.WEB-DL.H264-CrazyHD [PublicHD] Torrentbit.net 8 months ago
Life.of.Pi.2012.1080p.WEB-DL.H264-CrazyHD [PublicHD] 1337x 8 months ago
Life.of.Pi.2012.1080p.WEB-DL.H264-CrazyHD [PublicHD] Monova 8 months ago
Life.of.Pi.2012.1080p.WEB-DL.H264-CrazyHD [PublicHD] Kick Ass Torrents 8 months ago



TEGRA_table_txt_file: table_7819.txt
TEGRA_TABLE_TEXT: Life.of.Pi.2012.1080p.WEB-DL.H264-CrazyHD [PublicHD] extraTorrent 8 months ago
Life.of.Pi.2012.1080p.WEB-DL.H264-CrazyHD [PublicHD] Torrentdownloads 8 months ago
Life.of.Pi.2012.1080p.WEB-DL.H264-CrazyHD [PublicHD] Limetorrents 8 months ago
Life.of.Pi.2012.1080p.WEB-DL.H264-CrazyHD [PublicHD] Torrentbit.net 8 months ago
Life.of.Pi.2012.1080p.WEB-DL.H264-CrazyHD [PublicHD] 1337x 8 months ago
Life.of.Pi.2012.1080p.WEB-DL.H264-CrazyHD [PublicHD] Monova 8 months ago
Life.of.Pi.2012.1080p.WEB-DL.H264-CrazyHD [PublicHD] Kick Ass Torrents 8 months ago
label: Life.of.Pi.2012.1080p.WEB-DL.H264-CrazyHD [PublicHD]||extraTorrent||8 months ago
Life.of.Pi.2012.1080p.WEB-DL.H264-CrazyHD [PublicHD]||Torrentdownloads||8 months ago
Life.of.Pi.2012.1080p.WEB-DL.H264-CrazyHD [PublicHD]||Limetorrents||8 months ago
Life.of.Pi.2012.1080p.WEB-DL.H264-CrazyHD [PublicHD]||Torrentbit.net||8 months ago
Life.of.Pi.2012.1080p.WEB-DL.H264-CrazyHD [PublicHD]||1337x||8 months ago
Life.of.Pi.2012.1080p.WEB-DL.H264-CrazyHD [PublicHD]||Monova||8 months ago
Life.of.Pi.2012.1080p.WEB-DL.H264-CrazyHD [PublicHD]||Kick Ass Torrents||8 months ago
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
2 Brother Saudara Laki-laki Sister Saudara perempuan
3 Uncle Paman Aunt Bibi
4 Son Anak laki-laki Daughter Anak perempuan
5 Nephew Keponakan laki-laki Viece Kemenakan perempuan
6 Grandfather Kakek Grandmother Nenek
7 Bridgeroom Mempelai laki-laki bride Mempelai perempuan
8 King Raja Queen Ratu
9 Bachelor Jejaka Spinster Gadis
10 Mister Tuan Mistress Nyonya
11 Hero Pahlawan laki-laki Heroine Pahlawan perempuan
12 Monk Biarawan Nun Biarawati
13 Prince Pangeran Princess Putri
14 Host Tuan Rumah Hostess Nyonya Rumah
15 Actor Aktor Actress Aktris
16 Steward Pramugara Stewardess Pramugari
17 Director Direktur Directress Direktris



TEGRA_table_txt_file: table_64.txt
TEGRA_TABLE_TEXT: 2 Brother Saudara Laki-laki Sister Saudara perempuan
3 Uncle Paman Aunt Bibi
4 Son Anak laki-laki Daughter Anak perempuan
5 Nephew Keponakan laki-laki Viece Kemenakan perempuan
6 Grandfather Kakek Grandmother Nenek
7 Bridgeroom Mempelai laki-laki bride Mempelai perempuan
8 King Raja Queen Ratu
9 Bachelor Jejaka Spinster Gadis
10 Mister Tuan Mistress Nyonya
11 Hero Pahlawan laki-laki Heroine Pahlawan perempuan
12 Monk Biarawan Nun Biarawati
13 Prince Pangeran Princess Putri
14 Host Tuan Rumah Hostess Nyonya Rumah
15 Actor Aktor Actress Aktris
16 Steward Pramugara Stewardess Pramugari
17 Director Direktur Directress Direktris
label: 2||Brother||Saudara Laki-laki||Sister||Saudara perempuan
3||Uncle||Paman||Aunt||Bibi
4||Son||Anak laki-laki||Daughter||Anak perempuan
5||Nephew||Keponakan laki-laki||Viece||Kemenakan perempuan
6||Grandfather||Kakek||Grandmother||Nenek
7||Bridgeroom||Mempelai laki-laki||bride||Mempelai perempuan
8||King||Raja||Queen||Ratu
9||Bachelor||Jejaka||Spinster||Gadis
10||Mister||Tuan||Mistress||Nyonya
11||Hero||Pahlawan laki-laki||Heroine||Pahlawan perempuan
12||Monk||Biarawan||Nun||Biarawati
13||Prince||Pangeran||Princess||Putri
14||Host||Tuan Rumah||Hostess||Nyonya Rumah
15||Actor||Aktor||Actress||Aktris
16||Steward||Pramugara||Stewardess||Pramugari
17||Director||Direktur||Directress||Direktris
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:
John Forbes House of Representatives Iowa 40 D
Bob Greenwood House of Representatives Iowa 60 D
Mike Seiber House of Representatives Kentucky 10 D
Kelly Whitaker House of Representatives Kentucky 2 D
Lynn Morris House of Representatives Missouri 140 R
Howard Anderson Senate North Dakota 8 R
John McDonald State Assembly New York 108 D
Tim McMenamin House of Representatives Oregon 41 R
Rob Standridge Senate Oklahoma 15 R
Brian Kaatz Senate South Dakota 14 D



TEGRA_table_txt_file: table_358.txt
TEGRA_TABLE_TEXT: John Forbes House of Representatives Iowa 40 D
Bob Greenwood House of Representatives Iowa 60 D
Mike Seiber House of Representatives Kentucky 10 D
Kelly Whitaker House of Representatives Kentucky 2 D
Lynn Morris House of Representatives Missouri 140 R
Howard Anderson Senate North Dakota 8 R
John McDonald State Assembly New York 108 D
Tim McMenamin House of Representatives Oregon 41 R
Rob Standridge Senate Oklahoma 15 R
Brian Kaatz Senate South Dakota 14 D
label: John Forbes||House of Representatives||Iowa||40||D
Bob Greenwood||House of Representatives||Iowa||60||D
Mike Seiber||House of Representatives||Kentucky||10||D
Kelly Whitaker||House of Representatives||Kentucky||2||D
Lynn Morris||House of Representatives||Missouri||140||R
Howard Anderson||Senate||North Dakota||8||R
John McDonald||State Assembly||New York||108||D
Tim McMenamin||House of Representatives||Oregon||41||R
Rob Standridge||Senate||Oklahoma||15||R
Brian Kaatz||Senate||South Dakota||14||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:
B 896.00 986.15
C 1,024.00 1,127.03
D 1,152.00 1,267.91
E 1,408.00 1,549.67
F 1,664.00 1,831.43
G 1,920.00 2,113.18



TEGRA_table_txt_file: table_4708.txt
TEGRA_TABLE_TEXT: B 896.00 986.15
C 1,024.00 1,127.03
D 1,152.00 1,267.91
E 1,408.00 1,549.67
F 1,664.00 1,831.43
G 1,920.00 2,113.18
label: B||896.00||986.15
C||1,024.00||1,127.03
D||1,152.00||1,267.91
E||1,408.00||1,549.67
F||1,664.00||1,831.43
G||1,920.00||2,113.18
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:
11199 Summit (Spring Hill, TN) -14.1 1-7 +205
11200 Stillwater (NY) -14.1 2-4 -617
11201 Watkins Glen (NY) -14.1 3-3 -295
11202 Osage (IA) -14.1 1-6 -534
11203 Dorchester Academy (St. George, SC) -14.1 2-5 -367
11204 MACCRAY (Clara City, MN) -14.1 3-4 -711
11205 Fishburne Military (Waynesboro, VA) -14.1 6-0 +119
11206 Hominy (OK) -14.1 2-4 -178
11207 Pawnee (IL) -14.2 2-5 -1005



TEGRA_table_txt_file: table_3262.txt
TEGRA_TABLE_TEXT: 11199 Summit (Spring Hill, TN) -14.1 1-7 +205
11200 Stillwater (NY) -14.1 2-4 -617
11201 Watkins Glen (NY) -14.1 3-3 -295
11202 Osage (IA) -14.1 1-6 -534
11203 Dorchester Academy (St. George, SC) -14.1 2-5 -367
11204 MACCRAY (Clara City, MN) -14.1 3-4 -711
11205 Fishburne Military (Waynesboro, VA) -14.1 6-0 +119
11206 Hominy (OK) -14.1 2-4 -178
11207 Pawnee (IL) -14.2 2-5 -1005
label: 11199||Summit (Spring Hill, TN)||-14.1||1-7||+205
11200||Stillwater (NY)||-14.1||2-4||-617
11201||Watkins Glen (NY)||-14.1||3-3||-295
11202||Osage (IA)||-14.1||1-6||-534
11203||Dorchester Academy (St. George, SC)||-14.1||2-5||-367
11204||MACCRAY (Clara City, MN)||-14.1||3-4||-711
11205||Fishburne Military (Waynesboro, VA)||-14.1||6-0||+119
11206||Hominy (OK)||-14.1||2-4||-178
11207||Pawnee (IL)||-14.2||2-5||-1005
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:
Vitamin B1 1,2 mg 1 mg 1,2 / 1,4 mg
Vitamin B2 1,4 mg 1,2 mg 1,5 / 1,6 mg
Vitamin B6 1,5 mg 1,2 mg 1,9 / 1,9 mg
Niacin 16 mg 13 mg 15 / 17 mg
Pantothensäure 6 mg 6 mg 6 / 6 mg
Folsäure 400 µg 400 µg 600 / 600 µg
Biotin 30-60 µg 30-60 µg 30-60 / 30-60 µg
Vitamin B12 3 µg 3 µg 3,5 / 4 µg
Vitamin C 100 mg 100 mg 110 / 150 mg
Vitamin D 5 µg 5 µg 5 / 5 µg
Vitamin E 14 mg 12 mg 13 / 17 mg



TEGRA_table_txt_file: table_6283.txt
TEGRA_TABLE_TEXT: Vitamin B1 1,2 mg 1 mg 1,2 / 1,4 mg
Vitamin B2 1,4 mg 1,2 mg 1,5 / 1,6 mg
Vitamin B6 1,5 mg 1,2 mg 1,9 / 1,9 mg
Niacin 16 mg 13 mg 15 / 17 mg
Pantothensäure 6 mg 6 mg 6 / 6 mg
Folsäure 400 µg 400 µg 600 / 600 µg
Biotin 30-60 µg 30-60 µg 30-60 / 30-60 µg
Vitamin B12 3 µg 3 µg 3,5 / 4 µg
Vitamin C 100 mg 100 mg 110 / 150 mg
Vitamin D 5 µg 5 µg 5 / 5 µg
Vitamin E 14 mg 12 mg 13 / 17 mg
label: Vitamin B1||1,2 mg||1 mg||1,2 / 1,4 mg
Vitamin B2||1,4 mg||1,2 mg||1,5 / 1,6 mg
Vitamin B6||1,5 mg||1,2 mg||1,9 / 1,9 mg
Niacin||16 mg||13 mg||15 / 17 mg
Pantothensäure||6 mg||6 mg||6 / 6 mg
Folsäure||400 µg||400 µg||600 / 600 µg
Biotin||30-60 µg||30-60 µg||30-60 / 30-60 µg
Vitamin B12||3 µg||3 µg||3,5 / 4 µg
Vitamin C||100 mg||100 mg||110 / 150 mg
Vitamin D||5 µg||5 µg||5 / 5 µg
Vitamin E||14 mg||12 mg||13 / 17 mg
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:
Ali Suliman nel ruolo di Ziad Daud
Rona Lipaz-Michael nel ruolo di Mira Navon
Doron Tavory nel ruolo di Navon, Ministro della Difesa
Tarik Copty nel ruolo di Abu Hussan
Amos Lavie nel ruolo di Capitano Jacob
Amnon Wolf nel ruolo di Leibowitz
Smadar Yaaron nel ruolo di Tamar Gera
Ayelet Robinson nel ruolo di Shelly
Danny Leshman nel ruolo di Soldato Quickie
Liron Baranes nel ruolo di Gilad
Loai Nofi nel ruolo di Nasser Zidane



TEGRA_table_txt_file: table_1255.txt
TEGRA_TABLE_TEXT: Ali Suliman nel ruolo di Ziad Daud
Rona Lipaz-Michael nel ruolo di Mira Navon
Doron Tavory nel ruolo di Navon, Ministro della Difesa
Tarik Copty nel ruolo di Abu Hussan
Amos Lavie nel ruolo di Capitano Jacob
Amnon Wolf nel ruolo di Leibowitz
Smadar Yaaron nel ruolo di Tamar Gera
Ayelet Robinson nel ruolo di Shelly
Danny Leshman nel ruolo di Soldato Quickie
Liron Baranes nel ruolo di Gilad
Loai Nofi nel ruolo di Nasser Zidane
label: Ali Suliman||nel ruolo di||Ziad Daud
Rona Lipaz-Michael||nel ruolo di||Mira Navon
Doron Tavory||nel ruolo di||Navon, Ministro della Difesa
Tarik Copty||nel ruolo di||Abu Hussan
Amos Lavie||nel ruolo di||Capitano Jacob
Amnon Wolf||nel ruolo di||Leibowitz
Smadar Yaaron||nel ruolo di||Tamar Gera
Ayelet Robinson||nel ruolo di||Shelly
Danny Leshman||nel ruolo di||Soldato Quickie
Liron Baranes||nel ruolo di||Gilad
Loai Nofi||nel ruolo di||Nasser Zidane
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:
MyOpusRadio Big Fish Varied India
Big FM Electronic Electronica Germany
Big L 2 90s,80s UK
Big FM Balkan World Europe Germany
Big FM Russland World Europe Germany
Big Feat Radio Classic Rock USA
Big L Oldies UK
Big FM Ethno World Germany
Big R: R&B R&B USA
Big FM Orient World Middle East Germany
Big Oldies Chicago Oldies USA
Big Blue Swing Easy,Blues,Unknown USA
Big-Up Reggae Germany
Big FM 101.2 World Asia Nepal
Big FM Turkey World Middle East Germany
NRJ Big 5 Top 40 France
Big FM Saarland Contemporary Germany
Big Bang Radio Alternative Netherlands



TEGRA_table_txt_file: table_8885.txt
TEGRA_TABLE_TEXT: MyOpusRadio Big Fish Varied India
Big FM Electronic Electronica Germany
Big L 2 90s,80s UK
Big FM Balkan World Europe Germany
Big FM Russland World Europe Germany
Big Feat Radio Classic Rock USA
Big L Oldies UK
Big FM Ethno World Germany
Big R: R&B R&B USA
Big FM Orient World Middle East Germany
Big Oldies Chicago Oldies USA
Big Blue Swing Easy,Blues,Unknown USA
Big-Up Reggae Germany
Big FM 101.2 World Asia Nepal
Big FM Turkey World Middle East Germany
NRJ Big 5 Top 40 France
Big FM Saarland Contemporary Germany
Big Bang Radio Alternative Netherlands
label: MyOpusRadio Big Fish||Varied||India
Big FM Electronic||Electronica||Germany
Big L 2||90s,80s||UK
Big FM Balkan||World Europe||Germany
Big FM Russland||World Europe||Germany
Big Feat Radio||Classic Rock||USA
Big L||Oldies||UK
Big FM Ethno||World||Germany
Big R: R&B||R&B||USA
Big FM Orient||World Middle East||Germany
Big Oldies Chicago||Oldies||USA
Big Blue Swing||Easy,Blues,Unknown||USA
Big-Up||Reggae||Germany
Big FM 101.2||World Asia||Nepal
Big FM Turkey||World Middle East||Germany
NRJ Big 5||Top 40||France
Big FM Saarland||Contemporary||Germany
Big Bang Radio||Alternative||Netherlands
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:
Msmdlocal.dll 10.0.1787.0 44,448,600 08 Januari 2009 22:07 x64
Msmdlocal.dll 10.0.1787.0 23,454,056 08 Januari 2009 22:40 x 86
Msmdspdm.dll 10.0.1787.0 178,024 08 Januari 2009 22:08 x 86
Msmdsrv.exe 10.0.1787.0 43,726,168 08 Januari 2009 22:08 x64
Msmgdsrv.dll 10.0.1787.0 12,331,352 08 Januari 2009 22:08 x64
Msmgdsrv.dll 10.0.1787.0 8,557,416 08 Januari 2009 22:40 x 86
Msolap100.dll 10.0.1787.0 8,152,408 08 Januari 2009 22:08 x64
Msolap100.dll 10.0.1787.0 6,531,944 08 Januari 2009 22:40 x 86



TEGRA_table_txt_file: table_841.txt
TEGRA_TABLE_TEXT: Msmdlocal.dll 10.0.1787.0 44,448,600 08 Januari 2009 22:07 x64
Msmdlocal.dll 10.0.1787.0 23,454,056 08 Januari 2009 22:40 x 86
Msmdspdm.dll 10.0.1787.0 178,024 08 Januari 2009 22:08 x 86
Msmdsrv.exe 10.0.1787.0 43,726,168 08 Januari 2009 22:08 x64
Msmgdsrv.dll 10.0.1787.0 12,331,352 08 Januari 2009 22:08 x64
Msmgdsrv.dll 10.0.1787.0 8,557,416 08 Januari 2009 22:40 x 86
Msolap100.dll 10.0.1787.0 8,152,408 08 Januari 2009 22:08 x64
Msolap100.dll 10.0.1787.0 6,531,944 08 Januari 2009 22:40 x 86
label: Msmdlocal.dll||10.0.1787.0||44,448,600||08 Januari 2009||22:07||x64
Msmdlocal.dll||10.0.1787.0||23,454,056||08 Januari 2009||22:40||x 86
Msmdspdm.dll||10.0.1787.0||178,024||08 Januari 2009||22:08||x 86
Msmdsrv.exe||10.0.1787.0||43,726,168||08 Januari 2009||22:08||x64
Msmgdsrv.dll||10.0.1787.0||12,331,352||08 Januari 2009||22:08||x64
Msmgdsrv.dll||10.0.1787.0||8,557,416||08 Januari 2009||22:40||x 86
Msolap100.dll||10.0.1787.0||8,152,408||08 Januari 2009||22:08||x64
Msolap100.dll||10.0.1787.0||6,531,944||08 Januari 2009||22:40||x 86
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 Allen 36:00 1.126 1.167 3.8 4.0 3.9 22.5 1.5 0.0 17.9 23.8 162 124
Glenn Robinson 32:00 .495 .474 0.0 27.3 13.2 12.0 6.8 2.5 4.5 35.5 96 104
Sam Cassell 30:00 .551 .500 0.0 9.7 4.7 26.1 5.5 0.0 15.5 22.0 106 113
Mark Pope 13:00 .333 .333 0.0 0.0 0.0 0.0 0.0 6.1 0.0 11.8 66 124
Reserves MP TS% eFG% ORB% DRB% TRB% AST% STL% BLK% TOV% USG% ORtg DRtg
Tim Thomas 32:00 .630 .611 0.0 22.7 11.0 20.3 0.0 2.5 8.8 18.1 123 120
Ervin Johnson 19:00 .568  0.0 15.3 7.4 0.0 2.9 8.3 69.4 7.8 34 112
Michael Redd 18:00 .340 .200 0.0 0.0 0.0 15.5 9.1 0.0 0.0 16.7 90 108
Rafer Alston 17:00 .500 .500 0.0 17.1 8.3 49.5 0.0 0.0 0.0 18.1 130 123



TEGRA_table_txt_file: table_3534.txt
TEGRA_TABLE_TEXT: Ray Allen 36:00 1.126 1.167 3.8 4.0 3.9 22.5 1.5 0.0 17.9 23.8 162 124
Glenn Robinson 32:00 .495 .474 0.0 27.3 13.2 12.0 6.8 2.5 4.5 35.5 96 104
Sam Cassell 30:00 .551 .500 0.0 9.7 4.7 26.1 5.5 0.0 15.5 22.0 106 113
Mark Pope 13:00 .333 .333 0.0 0.0 0.0 0.0 0.0 6.1 0.0 11.8 66 124
Reserves MP TS% eFG% ORB% DRB% TRB% AST% STL% BLK% TOV% USG% ORtg DRtg
Tim Thomas 32:00 .630 .611 0.0 22.7 11.0 20.3 0.0 2.5 8.8 18.1 123 120
Ervin Johnson 19:00 .568  0.0 15.3 7.4 0.0 2.9 8.3 69.4 7.8 34 112
Michael Redd 18:00 .340 .200 0.0 0.0 0.0 15.5 9.1 0.0 0.0 16.7 90 108
Rafer Alston 17:00 .500 .500 0.0 17.1 8.3 49.5 0.0 0.0 0.0 18.1 130 123
label: Ray Allen||36:00||1.126||1.167||3.8||4.0||3.9||22.5||1.5||0.0||17.9||23.8||162||124
Glenn Robinson||32:00||.495||.474||0.0||27.3||13.2||12.0||6.8||2.5||4.5||35.5||96||104
Sam Cassell||30:00||.551||.500||0.0||9.7||4.7||26.1||5.5||0.0||15.5||22.0||106||113
Mark Pope||13:00||.333||.333||0.0||0.0||0.0||0.0||0.0||6.1||0.0||11.8||66||124
Reserves||MP||TS%||eFG%||ORB%||DRB%||TRB%||AST%||STL%||BLK%||TOV%||USG%||ORtg||DRtg
Tim Thomas||32:00||.630||.611||0.0||22.7||11.0||20.3||0.0||2.5||8.8||18.1||123||120
Ervin Johnson||19:00||.568||||0.0||15.3||7.4||0.0||2.9||8.3||69.4||7.8||34||112
Michael Redd||18:00||.340||.200||0.0||0.0||0.0||15.5||9.1||0.0||0.0||16.7||90||108
Rafer Alston||17:00||.500||.500||0.0||17.1||8.3||49.5||0.0||0.0||0.0||18.1||130||123
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(29) DET Chris Spielman (LB)
3(30) PHI Eric Allen (DB)
4(31) CIN Ickey Woods (RB)
5(32) DET Pat Carter (TE)
6(33) SFO Daniel Stubbs (DE)
7(34) GNB Shawn Patterson (DT)
8(35) LOS Anthony Newman (DB)
9(36) NYG John Elliott (OT)
10(37) NYJ Terry Williams (DB)
11(38) PHO Tony Jeffery (RB)
12(39) SFO Pierce Holt (DT)
13(40) BUF Thurman Thomas (RB)
14(41) DAL Ken Norton Jr (LB)
15(42) MIA Jarvis Williams (DB)
16(43) NWE Vincent Brown (LB)
17(44) PIT Dermontti Dawson (OC)
18(45) DEN Gerald Perry (OT)
19(46) LOS Willie Anderson (WR)
20(47) LOS Fred Strickland (LB)
21(48) HOU Quintin Jones (DB)
22(49) SEA Brian Blades (WR)
23(50) CLE Michael Dean Perry (DT)
24(51) CHI Dante Jones (LB)
25(52) NOR Brett Perriman (WR)
26(53) TAM Lars Tate (RB)
27(54) MIN Brad Edwards (DB)



TEGRA_table_txt_file: table_8831.txt
TEGRA_TABLE_TEXT: 2(29) DET Chris Spielman (LB)
3(30) PHI Eric Allen (DB)
4(31) CIN Ickey Woods (RB)
5(32) DET Pat Carter (TE)
6(33) SFO Daniel Stubbs (DE)
7(34) GNB Shawn Patterson (DT)
8(35) LOS Anthony Newman (DB)
9(36) NYG John Elliott (OT)
10(37) NYJ Terry Williams (DB)
11(38) PHO Tony Jeffery (RB)
12(39) SFO Pierce Holt (DT)
13(40) BUF Thurman Thomas (RB)
14(41) DAL Ken Norton Jr (LB)
15(42) MIA Jarvis Williams (DB)
16(43) NWE Vincent Brown (LB)
17(44) PIT Dermontti Dawson (OC)
18(45) DEN Gerald Perry (OT)
19(46) LOS Willie Anderson (WR)
20(47) LOS Fred Strickland (LB)
21(48) HOU Quintin Jones (DB)
22(49) SEA Brian Blades (WR)
23(50) CLE Michael Dean Perry (DT)
24(51) CHI Dante Jones (LB)
25(52) NOR Brett Perriman (WR)
26(53) TAM Lars Tate (RB)
27(54) MIN Brad Edwards (DB)
label: 2(29)||DET||Chris Spielman (LB)
3(30)||PHI||Eric Allen (DB)
4(31)||CIN||Ickey Woods (RB)
5(32)||DET||Pat Carter (TE)
6(33)||SFO||Daniel Stubbs (DE)
7(34)||GNB||Shawn Patterson (DT)
8(35)||LOS||Anthony Newman (DB)
9(36)||NYG||John Elliott (OT)
10(37)||NYJ||Terry Williams (DB)
11(38)||PHO||Tony Jeffery (RB)
12(39)||SFO||Pierce Holt (DT)
13(40)||BUF||Thurman Thomas (RB)
14(41)||DAL||Ken Norton Jr (LB)
15(42)||MIA||Jarvis Williams (DB)
16(43)||NWE||Vincent Brown (LB)
17(44)||PIT||Dermontti Dawson (OC)
18(45)||DEN||Gerald Perry (OT)
19(46)||LOS||Willie Anderson (WR)
20(47)||LOS||Fred Strickland (LB)
21(48)||HOU||Quintin Jones (DB)
22(49)||SEA||Brian Blades (WR)
23(50)||CLE||Michael Dean Perry (DT)
24(51)||CHI||Dante Jones (LB)
25(52)||NOR||Brett Perriman (WR)
26(53)||TAM||Lars Tate (RB)
27(54)||MIN||Brad Edwards (DB)
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:
23 Diriangén 17 8 5 2 1 15 8 +7
33 Juventus Managua 16 8 4 4 0 11 7 +4
43 Managua 15 6 5 0 1 10 3 +7
5 Jalapa 14 8 3 5 0 9 5 +4
6 Deportivo Ocotal 12 8 3 3 2 14 10 +4
7 Walter Ferreti 10 7 3 1 3 8 7 +1
8 Real Madriz 8 8 2 2 4 11 15 -4
9 Chinandega 6 8 1 3 4 11 14 -3



TEGRA_table_txt_file: table_6946.txt
TEGRA_TABLE_TEXT: 23 Diriangén 17 8 5 2 1 15 8 +7
33 Juventus Managua 16 8 4 4 0 11 7 +4
43 Managua 15 6 5 0 1 10 3 +7
5 Jalapa 14 8 3 5 0 9 5 +4
6 Deportivo Ocotal 12 8 3 3 2 14 10 +4
7 Walter Ferreti 10 7 3 1 3 8 7 +1
8 Real Madriz 8 8 2 2 4 11 15 -4
9 Chinandega 6 8 1 3 4 11 14 -3
label: 23||Diriangén||17||8||5||2||1||15||8||+7
33||Juventus Managua||16||8||4||4||0||11||7||+4
43||Managua||15||6||5||0||1||10||3||+7
5||Jalapa||14||8||3||5||0||9||5||+4
6||Deportivo Ocotal||12||8||3||3||2||14||10||+4
7||Walter Ferreti||10||7||3||1||3||8||7||+1
8||Real Madriz||8||8||2||2||4||11||15||-4
9||Chinandega||6||8||1||3||4||11||14||-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:
2 Joey Logano 22 Ford 0
3 Kyle Busch 18 Toyota 29
4 Kasey Kahne 5 Chevrolet 11
5 Kurt Busch 78 Chevrolet 29
6 Denny Hamlin 11 Toyota 0
7 Dale Earnhardt Jr 88 Chevrolet 0
8 Jamie McMurray 1 Chevrolet 0
9 Matt Kenseth 20 Toyota 0



TEGRA_table_txt_file: table_3536.txt
TEGRA_TABLE_TEXT: 2 Joey Logano 22 Ford 0
3 Kyle Busch 18 Toyota 29
4 Kasey Kahne 5 Chevrolet 11
5 Kurt Busch 78 Chevrolet 29
6 Denny Hamlin 11 Toyota 0
7 Dale Earnhardt Jr 88 Chevrolet 0
8 Jamie McMurray 1 Chevrolet 0
9 Matt Kenseth 20 Toyota 0
label: 2||Joey Logano||22||Ford||0
3||Kyle Busch||18||Toyota||29
4||Kasey Kahne||5||Chevrolet||11
5||Kurt Busch||78||Chevrolet||29
6||Denny Hamlin||11||Toyota||0
7||Dale Earnhardt Jr||88||Chevrolet||0
8||Jamie McMurray||1||Chevrolet||0
9||Matt Kenseth||20||Toyota||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:
udp://tracker.istole.it:80/announce active 28 Sep 2013 0 0 0
udp://tracker.publicbt.com:80/announce active 28 Sep 2013 0 0 0
udp://tracker.openbittorrent.com:80/announce active 28 Sep 2013 0 0 0
udp://fr33dom.h33t.com:3310/announce deleted 28 Sep 2013 - - -
udp://fr33domtracker.h33t.com:3310/announce deleted 28 Sep 2013 - - -
http://fr33dom.h33t.com:3310/announce deleted 28 Sep 2013 - - -
http://www.h33t.com:3310/announce deleted 28 Sep 2013 - - -
udp://9.rarbg.com:2710/announce pending 28 Sep 2013 0 0 0



TEGRA_table_txt_file: table_7780.txt
TEGRA_TABLE_TEXT: udp://tracker.istole.it:80/announce active 28 Sep 2013 0 0 0
udp://tracker.publicbt.com:80/announce active 28 Sep 2013 0 0 0
udp://tracker.openbittorrent.com:80/announce active 28 Sep 2013 0 0 0
udp://fr33dom.h33t.com:3310/announce deleted 28 Sep 2013 - - -
udp://fr33domtracker.h33t.com:3310/announce deleted 28 Sep 2013 - - -
http://fr33dom.h33t.com:3310/announce deleted 28 Sep 2013 - - -
http://www.h33t.com:3310/announce deleted 28 Sep 2013 - - -
udp://9.rarbg.com:2710/announce pending 28 Sep 2013 0 0 0
label: udp://tracker.istole.it:80/announce||active||28 Sep 2013||0||0||0
udp://tracker.publicbt.com:80/announce||active||28 Sep 2013||0||0||0
udp://tracker.openbittorrent.com:80/announce||active||28 Sep 2013||0||0||0
udp://fr33dom.h33t.com:3310/announce||deleted||28 Sep 2013||-||-||-
udp://fr33domtracker.h33t.com:3310/announce||deleted||28 Sep 2013||-||-||-
http://fr33dom.h33t.com:3310/announce||deleted||28 Sep 2013||-||-||-
http://www.h33t.com:3310/announce||deleted||28 Sep 2013||-||-||-
udp://9.rarbg.com:2710/announce||pending||28 Sep 2013||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:
Carolina RailHawks 12 5 5 2 4 20
San Antonio Scorpions 12 6 2 4 4 20
Tampa Bay Rowdies 12 5 3 4 5 18
FC Edmonton 12 3 5 4 1 14
Minnesota United FC 12 4 2 6 -5 14



TEGRA_table_txt_file: table_3031.txt
TEGRA_TABLE_TEXT: Carolina RailHawks 12 5 5 2 4 20
San Antonio Scorpions 12 6 2 4 4 20
Tampa Bay Rowdies 12 5 3 4 5 18
FC Edmonton 12 3 5 4 1 14
Minnesota United FC 12 4 2 6 -5 14
label: Carolina RailHawks||12||5||5||2||4||20
San Antonio Scorpions||12||6||2||4||4||20
Tampa Bay Rowdies||12||5||3||4||5||18
FC Edmonton||12||3||5||4||1||14
Minnesota United FC||12||4||2||6||-5||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:
2 Chelsea 38 36 71
3 Manchester City 38 27 71
4 Arsenal 38 29 68
5 Tottenham Hotspur 38 9 62
6 Liverpool 38 15 58
7 Everton 38 6 54
8 Fulham 38 6 49
9 Aston Villa 38 -11 48
10 Sunderland 38 -11 47
11 West Bromwich Albion 38 -15 47
12 Newcastle United 38 -1 46
13 Stoke City 38 -2 46
14 Bolton Wanderers 38 -4 46
15 Blackburn Rovers 38 -13 43
16 Wigan Athletic 38 -21 42
17 Wolverhampton Wanderers 38 -20 40
18 Birmingham City 38 -21 39
19 Blackpool 38 -23 39



TEGRA_table_txt_file: table_1504.txt
TEGRA_TABLE_TEXT: 2 Chelsea 38 36 71
3 Manchester City 38 27 71
4 Arsenal 38 29 68
5 Tottenham Hotspur 38 9 62
6 Liverpool 38 15 58
7 Everton 38 6 54
8 Fulham 38 6 49
9 Aston Villa 38 -11 48
10 Sunderland 38 -11 47
11 West Bromwich Albion 38 -15 47
12 Newcastle United 38 -1 46
13 Stoke City 38 -2 46
14 Bolton Wanderers 38 -4 46
15 Blackburn Rovers 38 -13 43
16 Wigan Athletic 38 -21 42
17 Wolverhampton Wanderers 38 -20 40
18 Birmingham City 38 -21 39
19 Blackpool 38 -23 39
label: 2||Chelsea||38||36||71
3||Manchester City||38||27||71
4||Arsenal||38||29||68
5||Tottenham Hotspur||38||9||62
6||Liverpool||38||15||58
7||Everton||38||6||54
8||Fulham||38||6||49
9||Aston Villa||38||-11||48
10||Sunderland||38||-11||47
11||West Bromwich Albion||38||-15||47
12||Newcastle United||38||-1||46
13||Stoke City||38||-2||46
14||Bolton Wanderers||38||-4||46
15||Blackburn Rovers||38||-13||43
16||Wigan Athletic||38||-21||42
17||Wolverhampton Wanderers||38||-20||40
18||Birmingham City||38||-21||39
19||Blackpool||38||-23||39
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
2 ATHERTON Rachel GBR 700
3 NICOLE Myriam FRA 641
4 HANNAH Tracey AUS 542
5 SIEGENTHALER Emilie SUI 435
6 KINTNER Jill USA 338
7 PUGIN Floriane FRA 335
8 MOLCIK Anita AUT 320
9 CHARRE Morgane FRA 271



TEGRA_table_txt_file: table_6417.txt
TEGRA_TABLE_TEXT: 2 ATHERTON Rachel GBR 700
3 NICOLE Myriam FRA 641
4 HANNAH Tracey AUS 542
5 SIEGENTHALER Emilie SUI 435
6 KINTNER Jill USA 338
7 PUGIN Floriane FRA 335
8 MOLCIK Anita AUT 320
9 CHARRE Morgane FRA 271
label: 2||ATHERTON Rachel||GBR||700
3||NICOLE Myriam||FRA||641
4||HANNAH Tracey||AUS||542
5||SIEGENTHALER Emilie||SUI||435
6||KINTNER Jill||USA||338
7||PUGIN Floriane||FRA||335
8||MOLCIK Anita||AUT||320
9||CHARRE Morgane||FRA||271