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:
$10,000 to $14,999 11.16% 10.73% 8.37%
$15,000 to $19,999 7.94% 9.09% 7.89%
$20,000 to $24,999 6.79% 8.18% 7.94%
$25,000 to $29,999 7.50% 7.68% 7.32%
$30,000 to $34,999 6.34% 6.86% 7.05%
$35,000 to $39,999 6.53% 6.08% 6.37%
$40,000 to $44,999 5.77% 5.73% 5.80%
$45,000 to $49,999 4.67% 4.23% 4.84%
$50,000 to $59,999 7.44% 7.22% 8.05%
$60,000 to $74,999 7.96% 7.48% 8.46%
$75,000 to $99,999 7.16% 6.79% 7.83%
$100,000 to $124,999 2.26% 2.54% 3.44%
$125,000 to $149,999 1.02% 1.20% 1.58%
$150,000 to $199,999 0.65% 0.72% 1.29%



TEGRA_table_txt_file: table_7737.txt
TEGRA_TABLE_TEXT: $10,000 to $14,999 11.16% 10.73% 8.37%
$15,000 to $19,999 7.94% 9.09% 7.89%
$20,000 to $24,999 6.79% 8.18% 7.94%
$25,000 to $29,999 7.50% 7.68% 7.32%
$30,000 to $34,999 6.34% 6.86% 7.05%
$35,000 to $39,999 6.53% 6.08% 6.37%
$40,000 to $44,999 5.77% 5.73% 5.80%
$45,000 to $49,999 4.67% 4.23% 4.84%
$50,000 to $59,999 7.44% 7.22% 8.05%
$60,000 to $74,999 7.96% 7.48% 8.46%
$75,000 to $99,999 7.16% 6.79% 7.83%
$100,000 to $124,999 2.26% 2.54% 3.44%
$125,000 to $149,999 1.02% 1.20% 1.58%
$150,000 to $199,999 0.65% 0.72% 1.29%
label: $10,000 to $14,999||11.16%||10.73%||8.37%
$15,000 to $19,999||7.94%||9.09%||7.89%
$20,000 to $24,999||6.79%||8.18%||7.94%
$25,000 to $29,999||7.50%||7.68%||7.32%
$30,000 to $34,999||6.34%||6.86%||7.05%
$35,000 to $39,999||6.53%||6.08%||6.37%
$40,000 to $44,999||5.77%||5.73%||5.80%
$45,000 to $49,999||4.67%||4.23%||4.84%
$50,000 to $59,999||7.44%||7.22%||8.05%
$60,000 to $74,999||7.96%||7.48%||8.46%
$75,000 to $99,999||7.16%||6.79%||7.83%
$100,000 to $124,999||2.26%||2.54%||3.44%
$125,000 to $149,999||1.02%||1.20%||1.58%
$150,000 to $199,999||0.65%||0.72%||1.29%
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:
22 Candlelight Dr, Holmdel NJ 0.24 Single-Family Home $705,000 02/19/13 - - 3,472
80 Main St, Holmdel NJ 0.35 Single-Family Home $560,000 08/12/13 - - 2,568
33 Windingbrook Way, Holmdel NJ 0.47 Single-Family Home $580,000 08/16/13 - - 2,254
9 Barbera Dr, Holmdel NJ 0.61 Single-Family Home $1,045,000 07/12/13 - - 3,737
16 Chardonnay Dr, Holmdel NJ 0.64 Single-Family Home $1,030,800 03/27/13 - - 3,717
7 Chardonnay Dr, Holmdel NJ 0.72 Single-Family Home $1,040,000 09/03/13 - - 4,646
30 Willowbrook Rd, Holmdel NJ 0.73 Single-Family Home $999,000 09/03/13 - - 4,544
4 Bordeaux Ln, Holmdel NJ 0.92 Single-Family Home $1,425,000 07/08/13 - - 4,218



TEGRA_table_txt_file: table_6086.txt
TEGRA_TABLE_TEXT: 22 Candlelight Dr, Holmdel NJ 0.24 Single-Family Home $705,000 02/19/13 - - 3,472
80 Main St, Holmdel NJ 0.35 Single-Family Home $560,000 08/12/13 - - 2,568
33 Windingbrook Way, Holmdel NJ 0.47 Single-Family Home $580,000 08/16/13 - - 2,254
9 Barbera Dr, Holmdel NJ 0.61 Single-Family Home $1,045,000 07/12/13 - - 3,737
16 Chardonnay Dr, Holmdel NJ 0.64 Single-Family Home $1,030,800 03/27/13 - - 3,717
7 Chardonnay Dr, Holmdel NJ 0.72 Single-Family Home $1,040,000 09/03/13 - - 4,646
30 Willowbrook Rd, Holmdel NJ 0.73 Single-Family Home $999,000 09/03/13 - - 4,544
4 Bordeaux Ln, Holmdel NJ 0.92 Single-Family Home $1,425,000 07/08/13 - - 4,218
label: 22 Candlelight Dr, Holmdel NJ||0.24||Single-Family Home||$705,000||02/19/13||-||-||3,472
80 Main St, Holmdel NJ||0.35||Single-Family Home||$560,000||08/12/13||-||-||2,568
33 Windingbrook Way, Holmdel NJ||0.47||Single-Family Home||$580,000||08/16/13||-||-||2,254
9 Barbera Dr, Holmdel NJ||0.61||Single-Family Home||$1,045,000||07/12/13||-||-||3,737
16 Chardonnay Dr, Holmdel NJ||0.64||Single-Family Home||$1,030,800||03/27/13||-||-||3,717
7 Chardonnay Dr, Holmdel NJ||0.72||Single-Family Home||$1,040,000||09/03/13||-||-||4,646
30 Willowbrook Rd, Holmdel NJ||0.73||Single-Family Home||$999,000||09/03/13||-||-||4,544
4 Bordeaux Ln, Holmdel NJ||0.92||Single-Family Home||$1,425,000||07/08/13||-||-||4,218
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:
2006/2007 62.
2007/2008 54.
2008/2009 43.
2009/2010 37.
2010/2011 44.



TEGRA_table_txt_file: table_1521.txt
TEGRA_TABLE_TEXT: 2006/2007 62.
2007/2008 54.
2008/2009 43.
2009/2010 37.
2010/2011 44.
label: 2006/2007||62.
2007/2008||54.
2008/2009||43.
2009/2010||37.
2010/2011||44.
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
Commerce Department 23 1 7
Defense Department 14 1 4
Education Department 5 1 1
Energy Department 56 5 6
Environmental Protection Agency 23 15 9
Health and Human Services Department 44 5 9
Homeland Security Department 16 8 13
Housing and Urban Development Department 3 0 1
Interior Department 20 8 19
Justice Department 13 1 1
Labor Department 2 0 7
State Department 3 0 4
Transportation Department 32 16 17
Treasury Department 14 7 16



TEGRA_table_txt_file: table_9905.txt
TEGRA_TABLE_TEXT: Commerce Department 23 1 7
Defense Department 14 1 4
Education Department 5 1 1
Energy Department 56 5 6
Environmental Protection Agency 23 15 9
Health and Human Services Department 44 5 9
Homeland Security Department 16 8 13
Housing and Urban Development Department 3 0 1
Interior Department 20 8 19
Justice Department 13 1 1
Labor Department 2 0 7
State Department 3 0 4
Transportation Department 32 16 17
Treasury Department 14 7 16
label: Commerce Department||23||1||7
Defense Department||14||1||4
Education Department||5||1||1
Energy Department||56||5||6
Environmental Protection Agency||23||15||9
Health and Human Services Department||44||5||9
Homeland Security Department||16||8||13
Housing and Urban Development Department||3||0||1
Interior Department||20||8||19
Justice Department||13||1||1
Labor Department||2||0||7
State Department||3||0||4
Transportation Department||32||16||17
Treasury Department||14||7||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:
Flat 301 Vista Interna Departamento 3 dormitorios Venta 119 m&sup2; Consultar Ver m&aacute;s
Flat 302 Vista Interna Departamento 3 dormitorios Venta 116 m&sup2; Consultar Ver m&aacute;s
Duplex 401 Vista Interna Departamento 2 dormitorios Venta 232 m&sup2; Consultar Ver m&aacute;s
Duplex 402 Vista Interna Departamento 2 dormitorios Venta 232 m&sup2; Consultar Ver m&aacute;s
Flat 105 Vista Interna Departamento 2 dormitorios Venta 122 m&sup2; Consultar Ver m&aacute;s



TEGRA_table_txt_file: table_3021.txt
TEGRA_TABLE_TEXT: Flat 301 Vista Interna Departamento 3 dormitorios Venta 119 m&sup2; Consultar Ver m&aacute;s
Flat 302 Vista Interna Departamento 3 dormitorios Venta 116 m&sup2; Consultar Ver m&aacute;s
Duplex 401 Vista Interna Departamento 2 dormitorios Venta 232 m&sup2; Consultar Ver m&aacute;s
Duplex 402 Vista Interna Departamento 2 dormitorios Venta 232 m&sup2; Consultar Ver m&aacute;s
Flat 105 Vista Interna Departamento 2 dormitorios Venta 122 m&sup2; Consultar Ver m&aacute;s
label: Flat 301 Vista Interna||Departamento||3 dormitorios||Venta||119 m&sup2;||Consultar||Ver m&aacute;s
Flat 302 Vista Interna||Departamento||3 dormitorios||Venta||116 m&sup2;||Consultar||Ver m&aacute;s
Duplex 401 Vista Interna||Departamento||2 dormitorios||Venta||232 m&sup2;||Consultar||Ver m&aacute;s
Duplex 402 Vista Interna||Departamento||2 dormitorios||Venta||232 m&sup2;||Consultar||Ver m&aacute;s
Flat 105 Vista Interna||Departamento||2 dormitorios||Venta||122 m&sup2;||Consultar||Ver m&aacute;s
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
5% 50% 95% 
0 2.500 3.500 4.500
1 3.000 4.250 5.250
2 3.800 5.000 6.300
3 4.350 5.900 7.200
4 5.000 6.400 8.000
5 5.600 7.000 8.750
6 6.000 7.750 9.300
7 6.550 8.050 10.000
8 7.000 8.700 10.450
9 7.400 9.000 11.000
10 7.750 9.400 11.200
11 8.000 9.850 11.650
12 8.300 10.050 12.000
13 8.500 10.300 12.150
14 8.800 10.550 12.500
15 9.000 10.850 12.750
16 9.150 11.050 13.000
17 9.250 11.200 13.200



TEGRA_table_txt_file: table_5174.txt
TEGRA_TABLE_TEXT: 5% 50% 95% 
0 2.500 3.500 4.500
1 3.000 4.250 5.250
2 3.800 5.000 6.300
3 4.350 5.900 7.200
4 5.000 6.400 8.000
5 5.600 7.000 8.750
6 6.000 7.750 9.300
7 6.550 8.050 10.000
8 7.000 8.700 10.450
9 7.400 9.000 11.000
10 7.750 9.400 11.200
11 8.000 9.850 11.650
12 8.300 10.050 12.000
13 8.500 10.300 12.150
14 8.800 10.550 12.500
15 9.000 10.850 12.750
16 9.150 11.050 13.000
17 9.250 11.200 13.200
label: 5%||50%||95%||
0||2.500||3.500||4.500
1||3.000||4.250||5.250
2||3.800||5.000||6.300
3||4.350||5.900||7.200
4||5.000||6.400||8.000
5||5.600||7.000||8.750
6||6.000||7.750||9.300
7||6.550||8.050||10.000
8||7.000||8.700||10.450
9||7.400||9.000||11.000
10||7.750||9.400||11.200
11||8.000||9.850||11.650
12||8.300||10.050||12.000
13||8.500||10.300||12.150
14||8.800||10.550||12.500
15||9.000||10.850||12.750
16||9.150||11.050||13.000
17||9.250||11.200||13.200
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. Nigel De Jong Midfielder AC Milan 3.38
3. Mario Balotelli Striker AC Milan 3.38
4. Theo Walcott Striker Arsenal FC 3.33
5. Christian Abbiati Goalkeeper AC Milan 3.25
6. Riccardo Montolivo Midfielder AC Milan 3.17
7. Kieran Gibbs Defender Arsenal FC 3.13
8. Cristian Zapata Defender AC Milan 3.13
9. Wojciech Szczesny Goalkeeper Arsenal FC 3.00
10. Philippe Mexes Defender AC Milan 3.00
11. Olivier Giroud Striker Arsenal FC 2.88
12. Per Mertesacker Defender Arsenal FC 2.88
13. Fraser Forster Goalkeeper Celtic 2.88
14. Kris Commons Midfielder Celtic 2.88
15. Anthony Stokes Striker Celtic 2.83
16. E. Ambrose Defender Celtic 2.83
17. Laurent Koscielny Defender Arsenal FC 2.83
18. Andrea Poli Midfielder AC Milan 2.75
19. Jack Wilshere Midfielder Arsenal FC 2.75



TEGRA_table_txt_file: table_5160.txt
TEGRA_TABLE_TEXT: 2. Nigel De Jong Midfielder AC Milan 3.38
3. Mario Balotelli Striker AC Milan 3.38
4. Theo Walcott Striker Arsenal FC 3.33
5. Christian Abbiati Goalkeeper AC Milan 3.25
6. Riccardo Montolivo Midfielder AC Milan 3.17
7. Kieran Gibbs Defender Arsenal FC 3.13
8. Cristian Zapata Defender AC Milan 3.13
9. Wojciech Szczesny Goalkeeper Arsenal FC 3.00
10. Philippe Mexes Defender AC Milan 3.00
11. Olivier Giroud Striker Arsenal FC 2.88
12. Per Mertesacker Defender Arsenal FC 2.88
13. Fraser Forster Goalkeeper Celtic 2.88
14. Kris Commons Midfielder Celtic 2.88
15. Anthony Stokes Striker Celtic 2.83
16. E. Ambrose Defender Celtic 2.83
17. Laurent Koscielny Defender Arsenal FC 2.83
18. Andrea Poli Midfielder AC Milan 2.75
19. Jack Wilshere Midfielder Arsenal FC 2.75
label: 2. Nigel De Jong||Midfielder||AC Milan||3.38
3. Mario Balotelli||Striker||AC Milan||3.38
4. Theo Walcott||Striker||Arsenal FC||3.33
5. Christian Abbiati||Goalkeeper||AC Milan||3.25
6. Riccardo Montolivo||Midfielder||AC Milan||3.17
7. Kieran Gibbs||Defender||Arsenal FC||3.13
8. Cristian Zapata||Defender||AC Milan||3.13
9. Wojciech Szczesny||Goalkeeper||Arsenal FC||3.00
10. Philippe Mexes||Defender||AC Milan||3.00
11. Olivier Giroud||Striker||Arsenal FC||2.88
12. Per Mertesacker||Defender||Arsenal FC||2.88
13. Fraser Forster||Goalkeeper||Celtic||2.88
14. Kris Commons||Midfielder||Celtic||2.88
15. Anthony Stokes||Striker||Celtic||2.83
16. E. Ambrose||Defender||Celtic||2.83
17. Laurent Koscielny||Defender||Arsenal FC||2.83
18. Andrea Poli||Midfielder||AC Milan||2.75
19. Jack Wilshere||Midfielder||Arsenal FC||2.75
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
http://tnp.net.pl:3535/announce) inactive 2 years ago 0 0
http://tracker.bt-chat.com:80/announce) inactive 2 years ago 0 0
http://tracker.openbittorrent.com/announce) inactive 2 years ago 0 0
udp://tracker.openbittorrent.com:80/announce) inactive 2 years ago 0 0
udp://tracker.publicbt.com:80/announce) inactive 2 years ago 0 0



TEGRA_table_txt_file: table_9927.txt
TEGRA_TABLE_TEXT: http://tnp.net.pl:3535/announce) inactive 2 years ago 0 0
http://tracker.bt-chat.com:80/announce) inactive 2 years ago 0 0
http://tracker.openbittorrent.com/announce) inactive 2 years ago 0 0
udp://tracker.openbittorrent.com:80/announce) inactive 2 years ago 0 0
udp://tracker.publicbt.com:80/announce) inactive 2 years ago 0 0
label: http://tnp.net.pl:3535/announce)||inactive||2 years ago||0||0
http://tracker.bt-chat.com:80/announce)||inactive||2 years ago||0||0
http://tracker.openbittorrent.com/announce)||inactive||2 years ago||0||0
udp://tracker.openbittorrent.com:80/announce)||inactive||2 years ago||0||0
udp://tracker.publicbt.com:80/announce)||inactive||2 years ago||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:
 min fgm-a 3pm-a ftm-a off def tot ast pf st to bs ba pts
Atchley, Connor 51:58 7-14 4-10 2-2 7 3 10 1 6 2 0 3 1 20
Faye, Mouhammad 85:51 15-36 6-21 13-16 7 17 24 2 13 2 8 1 2 49
Harris, Terrel 70:01 13-30 4-16 2-4 3 14 17 14 12 4 11 0 2 32
Janning, Matt 107:49 18-35 10-22 3-4 3 21 24 8 15 3 8 2 0 49
Lewis, Kelvin 17:13 2-2 1-1 2-2 3 1 4 0 3 1 1 1 0 7
McNeal, Jerel 127:10 28-61 7-23 23-26 6 22 28 17 11 4 13 3 5 86
Onuaku, Arinze 13:18 1-5 0-0 0-0 1 5 6 0 2 0 2 1 1 2
Roby, Richard 92:51 21-46 2-11 13-19 3 14 17 8 7 5 6 3 5 57
Scheyer, Jon 98:54 12-31 5-17 5-7 5 8 13 12 9 2 6 0 1 34



TEGRA_table_txt_file: table_5450.txt
TEGRA_TABLE_TEXT:  min fgm-a 3pm-a ftm-a off def tot ast pf st to bs ba pts
Atchley, Connor 51:58 7-14 4-10 2-2 7 3 10 1 6 2 0 3 1 20
Faye, Mouhammad 85:51 15-36 6-21 13-16 7 17 24 2 13 2 8 1 2 49
Harris, Terrel 70:01 13-30 4-16 2-4 3 14 17 14 12 4 11 0 2 32
Janning, Matt 107:49 18-35 10-22 3-4 3 21 24 8 15 3 8 2 0 49
Lewis, Kelvin 17:13 2-2 1-1 2-2 3 1 4 0 3 1 1 1 0 7
McNeal, Jerel 127:10 28-61 7-23 23-26 6 22 28 17 11 4 13 3 5 86
Onuaku, Arinze 13:18 1-5 0-0 0-0 1 5 6 0 2 0 2 1 1 2
Roby, Richard 92:51 21-46 2-11 13-19 3 14 17 8 7 5 6 3 5 57
Scheyer, Jon 98:54 12-31 5-17 5-7 5 8 13 12 9 2 6 0 1 34
label: ||min||fgm-a||3pm-a||ftm-a||off||def||tot||ast||pf||st||to||bs||ba||pts
Atchley, Connor||51:58||7-14||4-10||2-2||7||3||10||1||6||2||0||3||1||20
Faye, Mouhammad||85:51||15-36||6-21||13-16||7||17||24||2||13||2||8||1||2||49
Harris, Terrel||70:01||13-30||4-16||2-4||3||14||17||14||12||4||11||0||2||32
Janning, Matt||107:49||18-35||10-22||3-4||3||21||24||8||15||3||8||2||0||49
Lewis, Kelvin||17:13||2-2||1-1||2-2||3||1||4||0||3||1||1||1||0||7
McNeal, Jerel||127:10||28-61||7-23||23-26||6||22||28||17||11||4||13||3||5||86
Onuaku, Arinze||13:18||1-5||0-0||0-0||1||5||6||0||2||0||2||1||1||2
Roby, Richard||92:51||21-46||2-11||13-19||3||14||17||8||7||5||6||3||5||57
Scheyer, Jon||98:54||12-31||5-17||5-7||5||8||13||12||9||2||6||0||1||34
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:
Murder / NNH 0.0 6.6 6.5
Forcible Rape 0.0 28.4 31.1
Robbery Rate 0.0 194.4 197.4
Aggravated Assault 68.5 261.7 315
Property Crime Total 958.9 2662.4 3726.9
Burglary 251.1 490.0 812.3
Larceny Theft 707.8 1960.1 2541.6
Motor Vehicle Theft 0.0 212.2 382.3



TEGRA_table_txt_file: table_5452.txt
TEGRA_TABLE_TEXT: Murder / NNH 0.0 6.6 6.5
Forcible Rape 0.0 28.4 31.1
Robbery Rate 0.0 194.4 197.4
Aggravated Assault 68.5 261.7 315
Property Crime Total 958.9 2662.4 3726.9
Burglary 251.1 490.0 812.3
Larceny Theft 707.8 1960.1 2541.6
Motor Vehicle Theft 0.0 212.2 382.3
label: Murder / NNH||0.0||6.6||6.5
Forcible Rape||0.0||28.4||31.1
Robbery Rate||0.0||194.4||197.4
Aggravated Assault||68.5||261.7||315
Property Crime Total||958.9||2662.4||3726.9
Burglary||251.1||490.0||812.3
Larceny Theft||707.8||1960.1||2541.6
Motor Vehicle Theft||0.0||212.2||382.3
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:
16.09.2013 22:00 Athletic Bilbao 3 : 2 Celta Vigo
16.09.2013 20:00 Elche CF 0 : 0 Real Valladolid
15.09.2013 21:00 Betis Sewilla 3 : 1 Valencia
15.09.2013 19:00 Malaga 5 : 0 Rayo Vallecano
15.09.2013 17:00 Getafe 2 : 1 Osasuna
15.09.2013 12:00 Granada CF 0 : 1 Espanyol
14.09.2013 22:00 Villarreal 2 : 2 Real Madryt
14.09.2013 20:00 FC Barcelona 3 : 2 Sevilla
14.09.2013 18:00 Levante 0 : 0 Real Sociedad



TEGRA_table_txt_file: table_8417.txt
TEGRA_TABLE_TEXT: 16.09.2013 22:00 Athletic Bilbao 3 : 2 Celta Vigo
16.09.2013 20:00 Elche CF 0 : 0 Real Valladolid
15.09.2013 21:00 Betis Sewilla 3 : 1 Valencia
15.09.2013 19:00 Malaga 5 : 0 Rayo Vallecano
15.09.2013 17:00 Getafe 2 : 1 Osasuna
15.09.2013 12:00 Granada CF 0 : 1 Espanyol
14.09.2013 22:00 Villarreal 2 : 2 Real Madryt
14.09.2013 20:00 FC Barcelona 3 : 2 Sevilla
14.09.2013 18:00 Levante 0 : 0 Real Sociedad
label: 16.09.2013||22:00||Athletic Bilbao||3 : 2||Celta Vigo
16.09.2013||20:00||Elche CF||0 : 0||Real Valladolid
15.09.2013||21:00||Betis Sewilla||3 : 1||Valencia
15.09.2013||19:00||Malaga||5 : 0||Rayo Vallecano
15.09.2013||17:00||Getafe||2 : 1||Osasuna
15.09.2013||12:00||Granada CF||0 : 1||Espanyol
14.09.2013||22:00||Villarreal||2 : 2||Real Madryt
14.09.2013||20:00||FC Barcelona||3 : 2||Sevilla
14.09.2013||18:00||Levante||0 : 0||Real Sociedad
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:
Login Now Internal Links noFollow
Mobile Site Internal Links noFollow
Our President Internal Links Passing Juice
Contact Us Internal Links noFollow
Press & Media Internal Links Passing Juice
Frequently Asked Questions Internal Links noFollow
Affiliates Internal Links noFollow
Privacy Policy Internal Links noFollow
Terms & Conditions Internal Links noFollow



TEGRA_table_txt_file: table_8494.txt
TEGRA_TABLE_TEXT: Login Now Internal Links noFollow
Mobile Site Internal Links noFollow
Our President Internal Links Passing Juice
Contact Us Internal Links noFollow
Press & Media Internal Links Passing Juice
Frequently Asked Questions Internal Links noFollow
Affiliates Internal Links noFollow
Privacy Policy Internal Links noFollow
Terms & Conditions Internal Links noFollow
label: Login Now||Internal Links||noFollow
Mobile Site||Internal Links||noFollow
Our President||Internal Links||Passing Juice
Contact Us||Internal Links||noFollow
Press & Media||Internal Links||Passing Juice
Frequently Asked Questions||Internal Links||noFollow
Affiliates||Internal Links||noFollow
Privacy Policy||Internal Links||noFollow
Terms & Conditions||Internal Links||noFollow
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:
Straight Flush 75 150 225 300 375
Four of a Kind 75 150 225 300 375
Full House 8 16 24 32 40
Flush 6 12 18 24 30
Straight 4 8 12 16 20
Three of a Kind 3 6 9 12 15
Two Pair 1 2 3 4 5



TEGRA_table_txt_file: table_4574.txt
TEGRA_TABLE_TEXT: Straight Flush 75 150 225 300 375
Four of a Kind 75 150 225 300 375
Full House 8 16 24 32 40
Flush 6 12 18 24 30
Straight 4 8 12 16 20
Three of a Kind 3 6 9 12 15
Two Pair 1 2 3 4 5
label: Straight Flush||75||150||225||300||375
Four of a Kind||75||150||225||300||375
Full House||8||16||24||32||40
Flush||6||12||18||24||30
Straight||4||8||12||16||20
Three of a Kind||3||6||9||12||15
Two Pair||1||2||3||4||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:
http://torrent-downloads.to:5869/announce outdated 19 Jun 2010 - - -
http://tracker.openbittorrent.com/announce outdated 19 Jun 2010 - - -
udp://tracker.openbittorrent.com:80/announce outdated 07 Jun 2010 - - -
udp://tracker.publicbt.com:80/announce outdated 07 Jun 2010 - - -
http://www.sumotracker.com/announce error 07 Jun 2010 - - -



TEGRA_table_txt_file: table_693.txt
TEGRA_TABLE_TEXT: http://torrent-downloads.to:5869/announce outdated 19 Jun 2010 - - -
http://tracker.openbittorrent.com/announce outdated 19 Jun 2010 - - -
udp://tracker.openbittorrent.com:80/announce outdated 07 Jun 2010 - - -
udp://tracker.publicbt.com:80/announce outdated 07 Jun 2010 - - -
http://www.sumotracker.com/announce error 07 Jun 2010 - - -
label: http://torrent-downloads.to:5869/announce||outdated||19 Jun 2010||-||-||-
http://tracker.openbittorrent.com/announce||outdated||19 Jun 2010||-||-||-
udp://tracker.openbittorrent.com:80/announce||outdated||07 Jun 2010||-||-||-
udp://tracker.publicbt.com:80/announce||outdated||07 Jun 2010||-||-||-
http://www.sumotracker.com/announce||error||07 Jun 2010||-||-||-
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:
11 AM Mostly Sunny 48° 48° 14 mph WNW 53% 0% 2
12 PM Partly Cloudy 51° 51° 15 mph WNW 48% 0% 3
1 PM Partly Cloudy 52° 52° 15 mph WNW 45% 0% 3
2 PM Partly Cloudy 53° 53° 15 mph WNW 44% 0% 3
3 PM Mostly Sunny 53° 53° 11 mph WNW 43% 0% 2
4 PM Mostly Sunny 53° 53° 11 mph WNW 42% 0% 1
5 PM Mostly Sunny 52° 52° 11 mph WNW 44% 0% 0
6 PM Sunny (Clear) 50° 50° 6 mph WNW 47% 0% 0
7 PM Clear 48° 48° 6 mph WNW 52% 0% 0
8 PM Clear 46° 46° 6 mph WNW 57% 0% 0
9 PM Clear 44° 44° 5 mph W 60% 0% 0
10 PM Clear 43° 43° 5 mph W 62% 0% 0



TEGRA_table_txt_file: table_6028.txt
TEGRA_TABLE_TEXT: 11 AM Mostly Sunny 48° 48° 14 mph WNW 53% 0% 2
12 PM Partly Cloudy 51° 51° 15 mph WNW 48% 0% 3
1 PM Partly Cloudy 52° 52° 15 mph WNW 45% 0% 3
2 PM Partly Cloudy 53° 53° 15 mph WNW 44% 0% 3
3 PM Mostly Sunny 53° 53° 11 mph WNW 43% 0% 2
4 PM Mostly Sunny 53° 53° 11 mph WNW 42% 0% 1
5 PM Mostly Sunny 52° 52° 11 mph WNW 44% 0% 0
6 PM Sunny (Clear) 50° 50° 6 mph WNW 47% 0% 0
7 PM Clear 48° 48° 6 mph WNW 52% 0% 0
8 PM Clear 46° 46° 6 mph WNW 57% 0% 0
9 PM Clear 44° 44° 5 mph W 60% 0% 0
10 PM Clear 43° 43° 5 mph W 62% 0% 0
label: 11 AM||Mostly Sunny||48°||48°||14 mph WNW||53%||0%||2
12 PM||Partly Cloudy||51°||51°||15 mph WNW||48%||0%||3
1 PM||Partly Cloudy||52°||52°||15 mph WNW||45%||0%||3
2 PM||Partly Cloudy||53°||53°||15 mph WNW||44%||0%||3
3 PM||Mostly Sunny||53°||53°||11 mph WNW||43%||0%||2
4 PM||Mostly Sunny||53°||53°||11 mph WNW||42%||0%||1
5 PM||Mostly Sunny||52°||52°||11 mph WNW||44%||0%||0
6 PM||Sunny (Clear)||50°||50°||6 mph WNW||47%||0%||0
7 PM||Clear||48°||48°||6 mph WNW||52%||0%||0
8 PM||Clear||46°||46°||6 mph WNW||57%||0%||0
9 PM||Clear||44°||44°||5 mph W||60%||0%||0
10 PM||Clear||43°||43°||5 mph W||62%||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:
Kanada  Gyémánt 1 000 000+
Finnország  Arany 35 000+
Franciaország 2 2 × Platina 600 000+
Németország 1 3 × Arany 750 000+
Svájc 3 2 × Platina 100 000+
Nagy-Britannia 1 3 × Platina 900 000+



TEGRA_table_txt_file: table_8961.txt
TEGRA_TABLE_TEXT: Kanada  Gyémánt 1 000 000+
Finnország  Arany 35 000+
Franciaország 2 2 × Platina 600 000+
Németország 1 3 × Arany 750 000+
Svájc 3 2 × Platina 100 000+
Nagy-Britannia 1 3 × Platina 900 000+
label: Kanada||||Gyémánt||1 000 000+
Finnország||||Arany||35 000+
Franciaország||2||2 × Platina||600 000+
Németország||1||3 × Arany||750 000+
Svájc||3||2 × Platina||100 000+
Nagy-Britannia||1||3 × Platina||900 000+
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 $600 $600
Cash Bonus (1) n/a $600 $600
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 $10k $15k



TEGRA_table_txt_file: table_8524.txt
TEGRA_TABLE_TEXT: Bonuses (1) n/a $600 $600
Cash Bonus (1) n/a $600 $600
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 $10k $15k
label: Bonuses (1)||n/a||$600 $600
Cash Bonus (1)||n/a||$600 $600
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 $10k $15k
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 Barakaldo CF 9 5 4 0 19
3 CF Fuenlabrada 9 5 3 1 18
4 Bilbao Athletic 9 5 2 2 17
5 Real Unión Club 9 5 2 2 17
6 UB Conquense 9 5 1 3 16
7 Sestao River Club 9 4 2 3 14
8 CD Leganés 9 3 4 2 13
9 CD Toledo 9 3 3 3 12
10 CD Puerta Bonita 9 2 6 1 12
11 Real Madrid CF C 9 3 2 4 11
12 SD Amorebieta 9 3 2 4 11
13 SD Huesca 9 3 2 4 11
14 CD Tudelano 9 2 4 3 10
15 CD Laudio 9 3 1 5 10
16 Getafe CF B 9 2 4 3 10
17 Club Atlético de Madrid B 9 2 2 5 8
18 Real Sociedad B 9 1 4 4 7
19 CD Sariñena 9 0 4 5 4



TEGRA_table_txt_file: table_1029.txt
TEGRA_TABLE_TEXT: 2 Barakaldo CF 9 5 4 0 19
3 CF Fuenlabrada 9 5 3 1 18
4 Bilbao Athletic 9 5 2 2 17
5 Real Unión Club 9 5 2 2 17
6 UB Conquense 9 5 1 3 16
7 Sestao River Club 9 4 2 3 14
8 CD Leganés 9 3 4 2 13
9 CD Toledo 9 3 3 3 12
10 CD Puerta Bonita 9 2 6 1 12
11 Real Madrid CF C 9 3 2 4 11
12 SD Amorebieta 9 3 2 4 11
13 SD Huesca 9 3 2 4 11
14 CD Tudelano 9 2 4 3 10
15 CD Laudio 9 3 1 5 10
16 Getafe CF B 9 2 4 3 10
17 Club Atlético de Madrid B 9 2 2 5 8
18 Real Sociedad B 9 1 4 4 7
19 CD Sariñena 9 0 4 5 4
label: 2||Barakaldo CF||9||5||4||0||19
3||CF Fuenlabrada||9||5||3||1||18
4||Bilbao Athletic||9||5||2||2||17
5||Real Unión Club||9||5||2||2||17
6||UB Conquense||9||5||1||3||16
7||Sestao River Club||9||4||2||3||14
8||CD Leganés||9||3||4||2||13
9||CD Toledo||9||3||3||3||12
10||CD Puerta Bonita||9||2||6||1||12
11||Real Madrid CF C||9||3||2||4||11
12||SD Amorebieta||9||3||2||4||11
13||SD Huesca||9||3||2||4||11
14||CD Tudelano||9||2||4||3||10
15||CD Laudio||9||3||1||5||10
16||Getafe CF B||9||2||4||3||10
17||Club Atlético de Madrid B||9||2||2||5||8
18||Real Sociedad B||9||1||4||4||7
19||CD Sariñena||9||0||4||5||4
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
Jean Segura 4 1 0 0 1 0 0 0 0.313
Jonathan Lucroy 3 0 0 1 1 0 1 0 0.281
Carlos Gomez 2 0 0 1 0 0 1 0 0.294
Caleb Gindl 2 1 0 0 1 0 0 0 0.317
Khris Davis 2 1 0 1 2 0 0 0 0.258
Jim Henderson 0 0 0 0 0 0 0 0 0.000
Juan Francisco 4 1 0 2 1 0 0 0 0.236
Jeff Bianchi 3 1 0 3 0 0 0 0 0.245
Scooter Gennett 4 1 0 0 0 2 0 0 0.216
Kyle Lohse 1 0 0 0 0 1 0 0 0.167
Rickie Weeks 1 0 0 0 0 0 0 0 0.215
John Axford 0 0 0 0 0 0 0 0 0.000
Yuniesky Betancourt 1 0 0 0 0 0 0 0 0.212
Michael Gonzalez 0 0 0 0 0 0 0 0 0.000
Brandon Kintzler 0 0 0 0 0 0 0 0 0.000
Norichika Aoki 0 0 0 0 0 0 0 0 0.284



TEGRA_table_txt_file: table_1287.txt
TEGRA_TABLE_TEXT: Jean Segura 4 1 0 0 1 0 0 0 0.313
Jonathan Lucroy 3 0 0 1 1 0 1 0 0.281
Carlos Gomez 2 0 0 1 0 0 1 0 0.294
Caleb Gindl 2 1 0 0 1 0 0 0 0.317
Khris Davis 2 1 0 1 2 0 0 0 0.258
Jim Henderson 0 0 0 0 0 0 0 0 0.000
Juan Francisco 4 1 0 2 1 0 0 0 0.236
Jeff Bianchi 3 1 0 3 0 0 0 0 0.245
Scooter Gennett 4 1 0 0 0 2 0 0 0.216
Kyle Lohse 1 0 0 0 0 1 0 0 0.167
Rickie Weeks 1 0 0 0 0 0 0 0 0.215
John Axford 0 0 0 0 0 0 0 0 0.000
Yuniesky Betancourt 1 0 0 0 0 0 0 0 0.212
Michael Gonzalez 0 0 0 0 0 0 0 0 0.000
Brandon Kintzler 0 0 0 0 0 0 0 0 0.000
Norichika Aoki 0 0 0 0 0 0 0 0 0.284
label: Jean Segura||4||1||0||0||1||0||0||0||0.313
Jonathan Lucroy||3||0||0||1||1||0||1||0||0.281
Carlos Gomez||2||0||0||1||0||0||1||0||0.294
Caleb Gindl||2||1||0||0||1||0||0||0||0.317
Khris Davis||2||1||0||1||2||0||0||0||0.258
Jim Henderson||0||0||0||0||0||0||0||0||0.000
Juan Francisco||4||1||0||2||1||0||0||0||0.236
Jeff Bianchi||3||1||0||3||0||0||0||0||0.245
Scooter Gennett||4||1||0||0||0||2||0||0||0.216
Kyle Lohse||1||0||0||0||0||1||0||0||0.167
Rickie Weeks||1||0||0||0||0||0||0||0||0.215
John Axford||0||0||0||0||0||0||0||0||0.000
Yuniesky Betancourt||1||0||0||0||0||0||0||0||0.212
Michael Gonzalez||0||0||0||0||0||0||0||0||0.000
Brandon Kintzler||0||0||0||0||0||0||0||0||0.000
Norichika Aoki||0||0||0||0||0||0||0||0||0.284
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:
2208/34 9x3,75 APC Slow 3xLi-Poly 8,8 7880 9,6 63 84 75
2208/34 10x4,75 APC Slow 2xLi-Poly 7,8 4820 6,6 36 51 70
2208/34 9x6 APC Slow 2xLi-Poly 7,8 4890 6,6 36 51 70
2208/34 8,5x5 Aer Glas 7x N350AA 4,9 6870 7,6 30 37 80
2208/34 8,5x5 Aer Glas 8x N350AA 5,8 7510 8,4 39 48 79
2208/34 8,5x5 Aer Glas 10x N350AA 7,6 8640 10 59 76 77
2208/34 8x6 Graup. CAM slim prop 7x N350AA 6,2 6140 7,3 35 45 77
2208/34 8x6 Graup. CAM slim prop 8x N350AA 7,3 6660 8,1 44 59 75



TEGRA_table_txt_file: table_3408.txt
TEGRA_TABLE_TEXT: 2208/34 9x3,75 APC Slow 3xLi-Poly 8,8 7880 9,6 63 84 75
2208/34 10x4,75 APC Slow 2xLi-Poly 7,8 4820 6,6 36 51 70
2208/34 9x6 APC Slow 2xLi-Poly 7,8 4890 6,6 36 51 70
2208/34 8,5x5 Aer Glas 7x N350AA 4,9 6870 7,6 30 37 80
2208/34 8,5x5 Aer Glas 8x N350AA 5,8 7510 8,4 39 48 79
2208/34 8,5x5 Aer Glas 10x N350AA 7,6 8640 10 59 76 77
2208/34 8x6 Graup. CAM slim prop 7x N350AA 6,2 6140 7,3 35 45 77
2208/34 8x6 Graup. CAM slim prop 8x N350AA 7,3 6660 8,1 44 59 75
label: 2208/34||9x3,75 APC Slow||3xLi-Poly||8,8||7880||9,6||63||84||75
2208/34||10x4,75 APC Slow||2xLi-Poly||7,8||4820||6,6||36||51||70
2208/34||9x6 APC Slow||2xLi-Poly||7,8||4890||6,6||36||51||70
2208/34||8,5x5 Aer Glas||7x N350AA||4,9||6870||7,6||30||37||80
2208/34||8,5x5 Aer Glas||8x N350AA||5,8||7510||8,4||39||48||79
2208/34||8,5x5 Aer Glas||10x N350AA||7,6||8640||10||59||76||77
2208/34||8x6 Graup. CAM slim prop||7x N350AA||6,2||6140||7,3||35||45||77
2208/34||8x6 Graup. CAM slim prop||8x N350AA||7,3||6660||8,1||44||59||75
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:
Nantes 2012/2013 18 12 7 1 0
Caracas 2012/2013 17 12 14 1 0
Caracas 2012 0 0 0 0 0
Caracas 2011/2012 31 22 11 2 0
Caracas 2010/2011 3 0 0 0 0
Caracas 2010 2 0 0 0 0
Caracas 2009/2010 20 20 6 0 0



TEGRA_table_txt_file: table_9384.txt
TEGRA_TABLE_TEXT: Nantes 2012/2013 18 12 7 1 0
Caracas 2012/2013 17 12 14 1 0
Caracas 2012 0 0 0 0 0
Caracas 2011/2012 31 22 11 2 0
Caracas 2010/2011 3 0 0 0 0
Caracas 2010 2 0 0 0 0
Caracas 2009/2010 20 20 6 0 0
label: Nantes||2012/2013||18||12||7||1||0
Caracas||2012/2013||17||12||14||1||0
Caracas||2012||0||0||0||0||0
Caracas||2011/2012||31||22||11||2||0
Caracas||2010/2011||3||0||0||0||0
Caracas||2010||2||0||0||0||0
Caracas||2009/2010||20||20||6||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:
Easthouses Lily Miners Welfare 6 3 12
Berwick Rangers EOS 8 4 12
Hawick Royal Albert 5 3 9
Eyemouth United 5 2 7
Kelso United 7 1 6
Ormiston 5 2 6
Peebles Rovers 6 1 5
Burntisland Shipyard 5 1 4



TEGRA_table_txt_file: table_5335.txt
TEGRA_TABLE_TEXT: Easthouses Lily Miners Welfare 6 3 12
Berwick Rangers EOS 8 4 12
Hawick Royal Albert 5 3 9
Eyemouth United 5 2 7
Kelso United 7 1 6
Ormiston 5 2 6
Peebles Rovers 6 1 5
Burntisland Shipyard 5 1 4
label: Easthouses Lily Miners Welfare||6||3||12
Berwick Rangers EOS||8||4||12
Hawick Royal Albert||5||3||9
Eyemouth United||5||2||7
Kelso United||7||1||6
Ormiston||5||2||6
Peebles Rovers||6||1||5
Burntisland Shipyard||5||1||4
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
Size J4 J6 J8 J10 J12 J14 J16       
 inch cm inch cm inch cm inch cm inch cm inch cm inch cm
Bust 22 56 24 61 26 66 28 71 30 76 32 81 34 86
Waist 20 51 22 56 24 61 26 66 28 71 30 76 32 81
Hips 25 64 27 69 29 74 31 79 33 84 35 89 37 94



TEGRA_table_txt_file: table_4000.txt
TEGRA_TABLE_TEXT: Size J4 J6 J8 J10 J12 J14 J16       
 inch cm inch cm inch cm inch cm inch cm inch cm inch cm
Bust 22 56 24 61 26 66 28 71 30 76 32 81 34 86
Waist 20 51 22 56 24 61 26 66 28 71 30 76 32 81
Hips 25 64 27 69 29 74 31 79 33 84 35 89 37 94
label: Size||J4||J6||J8||J10||J12||J14||J16||||||||||||||
||inch||cm||inch||cm||inch||cm||inch||cm||inch||cm||inch||cm||inch||cm
Bust||22||56||24||61||26||66||28||71||30||76||32||81||34||86
Waist||20||51||22||56||24||61||26||66||28||71||30||76||32||81
Hips||25||64||27||69||29||74||31||79||33||84||35||89||37||94