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:
 Rough Average Clean Excellent
20,000 - 26,900 $8,010 $9,700 $10,740 $12,660
26,901 - 33,800 $7,780 $9,430 $10,440 $12,360
33,801 - 40,700 $7,550 $9,150 $10,130 $12,050
40,701 - 47,600 $7,300 $8,850 $9,800 $11,710
47,601 - 54,500 $7,020 $8,520 $9,440 $11,360
54,501 - 61,400 $6,740 $8,180 $9,060 $10,980
61,401 - 68,300 $6,440 $7,820 $8,670 $10,580
68,301 - 75,200 $6,130 $7,440 $8,250 $10,170
75,201 - 82,100 $5,800 $7,050 $7,810 $9,730



TEGRA_table_txt_file: table_9175.txt
TEGRA_TABLE_TEXT:  Rough Average Clean Excellent
20,000 - 26,900 $8,010 $9,700 $10,740 $12,660
26,901 - 33,800 $7,780 $9,430 $10,440 $12,360
33,801 - 40,700 $7,550 $9,150 $10,130 $12,050
40,701 - 47,600 $7,300 $8,850 $9,800 $11,710
47,601 - 54,500 $7,020 $8,520 $9,440 $11,360
54,501 - 61,400 $6,740 $8,180 $9,060 $10,980
61,401 - 68,300 $6,440 $7,820 $8,670 $10,580
68,301 - 75,200 $6,130 $7,440 $8,250 $10,170
75,201 - 82,100 $5,800 $7,050 $7,810 $9,730
label: ||Rough||Average||Clean||Excellent
20,000 - 26,900||$8,010||$9,700||$10,740||$12,660
26,901 - 33,800||$7,780||$9,430||$10,440||$12,360
33,801 - 40,700||$7,550||$9,150||$10,130||$12,050
40,701 - 47,600||$7,300||$8,850||$9,800||$11,710
47,601 - 54,500||$7,020||$8,520||$9,440||$11,360
54,501 - 61,400||$6,740||$8,180||$9,060||$10,980
61,401 - 68,300||$6,440||$7,820||$8,670||$10,580
68,301 - 75,200||$6,130||$7,440||$8,250||$10,170
75,201 - 82,100||$5,800||$7,050||$7,810||$9,730
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:
Binghamton max min 28 15 31 17 41 25 53 35 66 46 73 54 78 59 76 57 68 50 57 40 44 31 33 21
Buffalo max min 31 18 33 19 42 26 54 36 66 48 75 57 80 62 78 60 70 53 59 43 47 34 36 24
Lake Placid max min 27 5 32 8 40 16 54 29 66 39 74 48 78 53 76 51 69 44 56 34 44 25 32 12
Long Beach max min 39 23 40 24 48 31 58 40 69 49 77 60 83 66 82 64 75 57 64 45 54 36 44 28
New York City max min 38 26 41 28 50 35 61 44 71 54 79 63 84 69 82 68 75 60 64 50 53 41 43 32
Rochester max min 31 17 33 17 43 25 55 35 68 46 77 55 81 60 79 59 71 51 60 41 47 33 36 23



TEGRA_table_txt_file: table_8219.txt
TEGRA_TABLE_TEXT: Binghamton max min 28 15 31 17 41 25 53 35 66 46 73 54 78 59 76 57 68 50 57 40 44 31 33 21
Buffalo max min 31 18 33 19 42 26 54 36 66 48 75 57 80 62 78 60 70 53 59 43 47 34 36 24
Lake Placid max min 27 5 32 8 40 16 54 29 66 39 74 48 78 53 76 51 69 44 56 34 44 25 32 12
Long Beach max min 39 23 40 24 48 31 58 40 69 49 77 60 83 66 82 64 75 57 64 45 54 36 44 28
New York City max min 38 26 41 28 50 35 61 44 71 54 79 63 84 69 82 68 75 60 64 50 53 41 43 32
Rochester max min 31 17 33 17 43 25 55 35 68 46 77 55 81 60 79 59 71 51 60 41 47 33 36 23
label: Binghamton||max min||28 15||31 17||41 25||53 35||66 46||73 54||78 59||76 57||68 50||57 40||44 31||33 21
Buffalo||max min||31 18||33 19||42 26||54 36||66 48||75 57||80 62||78 60||70 53||59 43||47 34||36 24
Lake Placid||max min||27 5||32 8||40 16||54 29||66 39||74 48||78 53||76 51||69 44||56 34||44 25||32 12
Long Beach||max min||39 23||40 24||48 31||58 40||69 49||77 60||83 66||82 64||75 57||64 45||54 36||44 28
New York City||max min||38 26||41 28||50 35||61 44||71 54||79 63||84 69||82 68||75 60||64 50||53 41||43 32
Rochester||max min||31 17||33 17||43 25||55 35||68 46||77 55||81 60||79 59||71 51||60 41||47 33||36 23
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:
5888 Baer Rd, Sanborn NY 0.56 Single-Family Home $187,000 05/22/13 3 3 2,080
3059 Shenk Rd, Sanborn NY 0.71 Single-Family Home $244,000 08/19/13 5 3.5 2,328
5775 Buffalo St, Sanborn NY 1.28 Single-Family Home $80,000 02/12/13 3 1 950
5802 Buffalo St, Sanborn NY 1.37 Single-Family Home $65,720 04/09/13 4 1 1,481
5934 Ward Rd, Sanborn NY 1.46 Single-Family Home $133,000 08/19/13 3 1 1,428
5142 Baer Rd, Sanborn NY 1.51 Single-Family Home $76,000 01/07/13 3 1 1,224
3606 Lockport Rd, Sanborn NY 1.53 Single-Family Home $181,260 06/26/13 3 1.5 1,606
3861 Lockport Rd, Sanborn NY 1.62 Single-Family Home $172,500 01/30/13 3 1.5 1,670



TEGRA_table_txt_file: table_3150.txt
TEGRA_TABLE_TEXT: 5888 Baer Rd, Sanborn NY 0.56 Single-Family Home $187,000 05/22/13 3 3 2,080
3059 Shenk Rd, Sanborn NY 0.71 Single-Family Home $244,000 08/19/13 5 3.5 2,328
5775 Buffalo St, Sanborn NY 1.28 Single-Family Home $80,000 02/12/13 3 1 950
5802 Buffalo St, Sanborn NY 1.37 Single-Family Home $65,720 04/09/13 4 1 1,481
5934 Ward Rd, Sanborn NY 1.46 Single-Family Home $133,000 08/19/13 3 1 1,428
5142 Baer Rd, Sanborn NY 1.51 Single-Family Home $76,000 01/07/13 3 1 1,224
3606 Lockport Rd, Sanborn NY 1.53 Single-Family Home $181,260 06/26/13 3 1.5 1,606
3861 Lockport Rd, Sanborn NY 1.62 Single-Family Home $172,500 01/30/13 3 1.5 1,670
label: 5888 Baer Rd, Sanborn NY||0.56||Single-Family Home||$187,000||05/22/13||3||3||2,080
3059 Shenk Rd, Sanborn NY||0.71||Single-Family Home||$244,000||08/19/13||5||3.5||2,328
5775 Buffalo St, Sanborn NY||1.28||Single-Family Home||$80,000||02/12/13||3||1||950
5802 Buffalo St, Sanborn NY||1.37||Single-Family Home||$65,720||04/09/13||4||1||1,481
5934 Ward Rd, Sanborn NY||1.46||Single-Family Home||$133,000||08/19/13||3||1||1,428
5142 Baer Rd, Sanborn NY||1.51||Single-Family Home||$76,000||01/07/13||3||1||1,224
3606 Lockport Rd, Sanborn NY||1.53||Single-Family Home||$181,260||06/26/13||3||1.5||1,606
3861 Lockport Rd, Sanborn NY||1.62||Single-Family Home||$172,500||01/30/13||3||1.5||1,670
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:
Nornikotin 50-150 µg
Nichtflüchtige Kohlenwasserstoffe 300-400 µg
Naphthalin 2-4 µg
Naphthalinderivate 3-6 µg
Phenanthrene 0,2-0,4 µg
Fluorene 0,6-1,0 µg
Pyrene 0,3-0,5 µg
Polyzyklische aromatische Kohlenwasserstoffe 0,1-0,25 µg
Phenol 80-160 µg



TEGRA_table_txt_file: table_1525.txt
TEGRA_TABLE_TEXT: Nornikotin 50-150 µg
Nichtflüchtige Kohlenwasserstoffe 300-400 µg
Naphthalin 2-4 µg
Naphthalinderivate 3-6 µg
Phenanthrene 0,2-0,4 µg
Fluorene 0,6-1,0 µg
Pyrene 0,3-0,5 µg
Polyzyklische aromatische Kohlenwasserstoffe 0,1-0,25 µg
Phenol 80-160 µg
label: Nornikotin||50-150 µg
Nichtflüchtige Kohlenwasserstoffe||300-400 µg
Naphthalin||2-4 µg
Naphthalinderivate||3-6 µg
Phenanthrene||0,2-0,4 µg
Fluorene||0,6-1,0 µg
Pyrene||0,3-0,5 µg
Polyzyklische aromatische Kohlenwasserstoffe||0,1-0,25 µg
Phenol||80-160 µg
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:
29 apr Vargarna Gema 85 - 23 3500 Dagsbergsfältet
8 maj Gema Indianerna 39 - 66 4000 Sävedalen
3 jun Gema Filbyterna 29 - 79 3000 Sävedalen
10 jun SMK Stockholm Gema 83 - 23 1500 Östermalms IP
14 aug Gema Getingarna 41 - 67 4000 Sävedalen
21 aug Smålänningarna Gema 71 - 34 3000 Gislaved
4 sep Gema Tigrarna 72 - 35 4000 Sävedalen



TEGRA_table_txt_file: table_7887.txt
TEGRA_TABLE_TEXT: 29 apr Vargarna Gema 85 - 23 3500 Dagsbergsfältet
8 maj Gema Indianerna 39 - 66 4000 Sävedalen
3 jun Gema Filbyterna 29 - 79 3000 Sävedalen
10 jun SMK Stockholm Gema 83 - 23 1500 Östermalms IP
14 aug Gema Getingarna 41 - 67 4000 Sävedalen
21 aug Smålänningarna Gema 71 - 34 3000 Gislaved
4 sep Gema Tigrarna 72 - 35 4000 Sävedalen
label: 29 apr||Vargarna||Gema||85 - 23||3500||Dagsbergsfältet
8 maj||Gema||Indianerna||39 - 66||4000||Sävedalen
3 jun||Gema||Filbyterna||29 - 79||3000||Sävedalen
10 jun||SMK Stockholm||Gema||83 - 23||1500||Östermalms IP
14 aug||Gema||Getingarna||41 - 67||4000||Sävedalen
21 aug||Smålänningarna||Gema||71 - 34||3000||Gislaved
4 sep||Gema||Tigrarna||72 - 35||4000||Sävedalen
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:
Driftsinntekter 13.910.000 5.941.000 8.420.000 2.523.000 5.035.000
Driftskostnader -13.048.000 -5.902.000 -8.222.000 -2.477.000 -4.910.000
Driftsresultat 862.000 39.000 197.000 46.000 125.000
Finansinntekter 24.000 15.000 -54.000 21.000 -50.000
Finanskostnader -36.000 -26.000 -27.000 -21.000 -34.000
Finans -12.000 -11.000 -81.000 0 -84.000
Resultat før skatt 849.000 28.000 116.000 47.000 41.000
Skattekostnad -242.000 -14.000 -41.000 -39.000 -20.000



TEGRA_table_txt_file: table_905.txt
TEGRA_TABLE_TEXT: Driftsinntekter 13.910.000 5.941.000 8.420.000 2.523.000 5.035.000
Driftskostnader -13.048.000 -5.902.000 -8.222.000 -2.477.000 -4.910.000
Driftsresultat 862.000 39.000 197.000 46.000 125.000
Finansinntekter 24.000 15.000 -54.000 21.000 -50.000
Finanskostnader -36.000 -26.000 -27.000 -21.000 -34.000
Finans -12.000 -11.000 -81.000 0 -84.000
Resultat før skatt 849.000 28.000 116.000 47.000 41.000
Skattekostnad -242.000 -14.000 -41.000 -39.000 -20.000
label: Driftsinntekter||13.910.000||5.941.000||8.420.000||2.523.000||5.035.000
Driftskostnader||-13.048.000||-5.902.000||-8.222.000||-2.477.000||-4.910.000
Driftsresultat||862.000||39.000||197.000||46.000||125.000
Finansinntekter||24.000||15.000||-54.000||21.000||-50.000
Finanskostnader||-36.000||-26.000||-27.000||-21.000||-34.000
Finans||-12.000||-11.000||-81.000||0||-84.000
Resultat før skatt||849.000||28.000||116.000||47.000||41.000
Skattekostnad||-242.000||-14.000||-41.000||-39.000||-20.000
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:
GetExperiencesDeDegustations - DBExecuteSelectStatement avant 0.026316881 0.026309013
GetExperiencesDeDegustations - DBExecuteSelectStatement 0.028761864 0.002444983
GetExperiencesDeDegustations - DBExecuteSelectStatement avant 0.038787842 0.010025978
GetExperiencesDeDegustations - DBExecuteSelectStatement 0.043053865 0.004266024
GetExperiencesDeDegustations - fin 0.046321869 0.003268003
RIGHT 0.07673192 0.030410051
LEFT 0.08373785 0.00700593



TEGRA_table_txt_file: table_9404.txt
TEGRA_TABLE_TEXT: GetExperiencesDeDegustations - DBExecuteSelectStatement avant 0.026316881 0.026309013
GetExperiencesDeDegustations - DBExecuteSelectStatement 0.028761864 0.002444983
GetExperiencesDeDegustations - DBExecuteSelectStatement avant 0.038787842 0.010025978
GetExperiencesDeDegustations - DBExecuteSelectStatement 0.043053865 0.004266024
GetExperiencesDeDegustations - fin 0.046321869 0.003268003
RIGHT 0.07673192 0.030410051
LEFT 0.08373785 0.00700593
label: GetExperiencesDeDegustations - DBExecuteSelectStatement avant||0.026316881||0.026309013
GetExperiencesDeDegustations - DBExecuteSelectStatement||0.028761864||0.002444983
GetExperiencesDeDegustations - DBExecuteSelectStatement avant||0.038787842||0.010025978
GetExperiencesDeDegustations - DBExecuteSelectStatement||0.043053865||0.004266024
GetExperiencesDeDegustations - fin||0.046321869||0.003268003
RIGHT||0.07673192||0.030410051
LEFT||0.08373785||0.00700593
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:
17272 Péré 335 18 353
17273 Pérignac 972 34 1 006
17274 Périgny 6 623 192 6 815
17275 Pessines 772 22 794
17276 Le Pin 73 0 73
17278 Pisany 445 7 452
17279 Plassac 547 8 555
17280 Plassay 631 6 637
17281 Polignac 121 1 122
17282 Pommiers-Moulons 186 0 186
17283 Pons 4 454 192 4 646
17284 Pont-l'Abbé-d'Arnoult 1 831 266 2 097
17285 Port-d'Envaux 961 24 985
17484 Port-des-Barques 1 805 42 1 847
17286 Les Portes-en-Ré 647 22 669
17287 Pouillac 222 3 225
17288 Poursay-Garnaud 282 6 288
17289 Préguillac 396 19 415
17290 Prignac 306 3 309
17291 Puilboreau 4 990 108 5 098
17292 Puy-du-Lac 345 8 353
17293 Puyravault 500 10 510



TEGRA_table_txt_file: table_5202.txt
TEGRA_TABLE_TEXT: 17272 Péré 335 18 353
17273 Pérignac 972 34 1 006
17274 Périgny 6 623 192 6 815
17275 Pessines 772 22 794
17276 Le Pin 73 0 73
17278 Pisany 445 7 452
17279 Plassac 547 8 555
17280 Plassay 631 6 637
17281 Polignac 121 1 122
17282 Pommiers-Moulons 186 0 186
17283 Pons 4 454 192 4 646
17284 Pont-l'Abbé-d'Arnoult 1 831 266 2 097
17285 Port-d'Envaux 961 24 985
17484 Port-des-Barques 1 805 42 1 847
17286 Les Portes-en-Ré 647 22 669
17287 Pouillac 222 3 225
17288 Poursay-Garnaud 282 6 288
17289 Préguillac 396 19 415
17290 Prignac 306 3 309
17291 Puilboreau 4 990 108 5 098
17292 Puy-du-Lac 345 8 353
17293 Puyravault 500 10 510
label: 17272||Péré||335||18||353
17273||Pérignac||972||34||1 006
17274||Périgny||6 623||192||6 815
17275||Pessines||772||22||794
17276||Le Pin||73||0||73
17278||Pisany||445||7||452
17279||Plassac||547||8||555
17280||Plassay||631||6||637
17281||Polignac||121||1||122
17282||Pommiers-Moulons||186||0||186
17283||Pons||4 454||192||4 646
17284||Pont-l'Abbé-d'Arnoult||1 831||266||2 097
17285||Port-d'Envaux||961||24||985
17484||Port-des-Barques||1 805||42||1 847
17286||Les Portes-en-Ré||647||22||669
17287||Pouillac||222||3||225
17288||Poursay-Garnaud||282||6||288
17289||Préguillac||396||19||415
17290||Prignac||306||3||309
17291||Puilboreau||4 990||108||5 098
17292||Puy-du-Lac||345||8||353
17293||Puyravault||500||10||510
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:
Total Yards 327 345
Turnovers 3 3
Time of Possession 26:59 33:01
First Downs 14 22
Passes for First 7 13
Rushes for First 7 8
Penalties for First 0 1
Third Down Efficiency 1-11 11-16
Fourth Down Efficiency 2-2 0-1
Total Yards 327 345
Total Plays 59 70
Avg Gain Per Play 5.5 4.9
Net Yards Rushing 136 132
Rushes 24 29
Yards Per Rush 5.7 4.6
Net Yards Passing 191 213
Comp-Att 18-32 25-40
Yards Per Pass 5.5 5.2
Times Sacked 3 1
Yds Lost To Sacks 40 8
Interceptions 2 2
Punts 4 2
Punt Average 54.8 45.0
Penalties 4 5
Penalty Yards 39 55
Fumbles 2 1



TEGRA_table_txt_file: table_8305.txt
TEGRA_TABLE_TEXT: Total Yards 327 345
Turnovers 3 3
Time of Possession 26:59 33:01
First Downs 14 22
Passes for First 7 13
Rushes for First 7 8
Penalties for First 0 1
Third Down Efficiency 1-11 11-16
Fourth Down Efficiency 2-2 0-1
Total Yards 327 345
Total Plays 59 70
Avg Gain Per Play 5.5 4.9
Net Yards Rushing 136 132
Rushes 24 29
Yards Per Rush 5.7 4.6
Net Yards Passing 191 213
Comp-Att 18-32 25-40
Yards Per Pass 5.5 5.2
Times Sacked 3 1
Yds Lost To Sacks 40 8
Interceptions 2 2
Punts 4 2
Punt Average 54.8 45.0
Penalties 4 5
Penalty Yards 39 55
Fumbles 2 1
label: Total Yards||327||345
Turnovers||3||3
Time of Possession||26:59||33:01
First Downs||14||22
Passes for First||7||13
Rushes for First||7||8
Penalties for First||0||1
Third Down Efficiency||1-11||11-16
Fourth Down Efficiency||2-2||0-1
Total Yards||327||345
Total Plays||59||70
Avg Gain Per Play||5.5||4.9
Net Yards Rushing||136||132
Rushes||24||29
Yards Per Rush||5.7||4.6
Net Yards Passing||191||213
Comp-Att||18-32||25-40
Yards Per Pass||5.5||5.2
Times Sacked||3||1
Yds Lost To Sacks||40||8
Interceptions||2||2
Punts||4||2
Punt Average||54.8||45.0
Penalties||4||5
Penalty Yards||39||55
Fumbles||2||1
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
Lun Mar Mer Gio Ven Sab Dom
 1 2 3 4 5 6
7 8 9 10 11 12 13
14 15 16 17 18 19 20
21 22 23 24 25 26 27



TEGRA_table_txt_file: table_9073.txt
TEGRA_TABLE_TEXT: Lun Mar Mer Gio Ven Sab Dom
 1 2 3 4 5 6
7 8 9 10 11 12 13
14 15 16 17 18 19 20
21 22 23 24 25 26 27
label: Lun||Mar||Mer||Gio||Ven||Sab||Dom
||1||2||3||4||5||6
7||8||9||10||11||12||13
14||15||16||17||18||19||20
21||22||23||24||25||26||27
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:
LGA VOR/DME 113.1 307 10 nm
CRI VOR/DME 112.3 343 16 nm
CAT NDB 254.0 082 18 nm
JFK VOR/DME 115.9 327 19 nm
OGY NDB 414.0 346 19 nm
SAX VORTAC 115.7 132 25 nm
BBN NDB 275.0 303 33 nm
COL VOR/DME 115.4 019 33 nm
CMK VOR/DME 116.6 232 34 nm
DPK VOR/DME 117.7 288 35 nm
BWZ VOR/DME 114.2 096 35 nm
SBJ VOR/DME 112.9 073 35 nm
STW VOR/DME 109.6 114 38 nm
SW NDB 335.0 183 39 nm
HUO VOR/DME 116.1 155 41 nm
OP NDB 339.0 273 44 nm
OP NDB 316.0 273 44 nm
RBV VORTAC 113.8 037 44 nm
ISP VOT 109.4 000 44 nm
BDR VOR/DME 108.8 259 46 nm
BDR VOT 109.3 000 46 nm



TEGRA_table_txt_file: table_7742.txt
TEGRA_TABLE_TEXT: LGA VOR/DME 113.1 307 10 nm
CRI VOR/DME 112.3 343 16 nm
CAT NDB 254.0 082 18 nm
JFK VOR/DME 115.9 327 19 nm
OGY NDB 414.0 346 19 nm
SAX VORTAC 115.7 132 25 nm
BBN NDB 275.0 303 33 nm
COL VOR/DME 115.4 019 33 nm
CMK VOR/DME 116.6 232 34 nm
DPK VOR/DME 117.7 288 35 nm
BWZ VOR/DME 114.2 096 35 nm
SBJ VOR/DME 112.9 073 35 nm
STW VOR/DME 109.6 114 38 nm
SW NDB 335.0 183 39 nm
HUO VOR/DME 116.1 155 41 nm
OP NDB 339.0 273 44 nm
OP NDB 316.0 273 44 nm
RBV VORTAC 113.8 037 44 nm
ISP VOT 109.4 000 44 nm
BDR VOR/DME 108.8 259 46 nm
BDR VOT 109.3 000 46 nm
label: LGA||VOR/DME||113.1||307||10 nm
CRI||VOR/DME||112.3||343||16 nm
CAT||NDB||254.0||082||18 nm
JFK||VOR/DME||115.9||327||19 nm
OGY||NDB||414.0||346||19 nm
SAX||VORTAC||115.7||132||25 nm
BBN||NDB||275.0||303||33 nm
COL||VOR/DME||115.4||019||33 nm
CMK||VOR/DME||116.6||232||34 nm
DPK||VOR/DME||117.7||288||35 nm
BWZ||VOR/DME||114.2||096||35 nm
SBJ||VOR/DME||112.9||073||35 nm
STW||VOR/DME||109.6||114||38 nm
SW||NDB||335.0||183||39 nm
HUO||VOR/DME||116.1||155||41 nm
OP||NDB||339.0||273||44 nm
OP||NDB||316.0||273||44 nm
RBV||VORTAC||113.8||037||44 nm
ISP||VOT||109.4||000||44 nm
BDR||VOR/DME||108.8||259||46 nm
BDR||VOT||109.3||000||46 nm
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:
26.08.2013 20:45 Fiorentina 2 : 1 Catania
25.08.2013 20:45 Torino 2 : 0 Sassuolo
25.08.2013 20:45 Parma 0 : 0 Chievo Werona
25.08.2013 20:45 Napoli 3 : 0 Bologna
25.08.2013 20:45 Livorno 0 : 2 AS Roma
25.08.2013 20:45 Lazio Rzym 2 : 1 Udinese
25.08.2013 20:45 Cagliari 2 : 1 Atalanta
25.08.2013 18:00 Inter Mediolan 2 : 0 Genoa
24.08.2013 20:45 Sampdoria 0 : 1 Juventus Turyn



TEGRA_table_txt_file: table_6470.txt
TEGRA_TABLE_TEXT: 26.08.2013 20:45 Fiorentina 2 : 1 Catania
25.08.2013 20:45 Torino 2 : 0 Sassuolo
25.08.2013 20:45 Parma 0 : 0 Chievo Werona
25.08.2013 20:45 Napoli 3 : 0 Bologna
25.08.2013 20:45 Livorno 0 : 2 AS Roma
25.08.2013 20:45 Lazio Rzym 2 : 1 Udinese
25.08.2013 20:45 Cagliari 2 : 1 Atalanta
25.08.2013 18:00 Inter Mediolan 2 : 0 Genoa
24.08.2013 20:45 Sampdoria 0 : 1 Juventus Turyn
label: 26.08.2013||20:45||Fiorentina||2 : 1||Catania
25.08.2013||20:45||Torino||2 : 0||Sassuolo
25.08.2013||20:45||Parma||0 : 0||Chievo Werona
25.08.2013||20:45||Napoli||3 : 0||Bologna
25.08.2013||20:45||Livorno||0 : 2||AS Roma
25.08.2013||20:45||Lazio Rzym||2 : 1||Udinese
25.08.2013||20:45||Cagliari||2 : 1||Atalanta
25.08.2013||18:00||Inter Mediolan||2 : 0||Genoa
24.08.2013||20:45||Sampdoria||0 : 1||Juventus Turyn
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:
2 750 5s 2s 240
3 800 5s 2s 270
4 850 5s 2s 300
5 900 5s 2s 330
6 950 5s 2s 360
7 1000 5s 2s 390
8 1050 5s 2s 420
9 1100 5s 2s 450
10 1150 5s 2s 480



TEGRA_table_txt_file: table_4456.txt
TEGRA_TABLE_TEXT: 2 750 5s 2s 240
3 800 5s 2s 270
4 850 5s 2s 300
5 900 5s 2s 330
6 950 5s 2s 360
7 1000 5s 2s 390
8 1050 5s 2s 420
9 1100 5s 2s 450
10 1150 5s 2s 480
label: 2||750||5s||2s||240
3||800||5s||2s||270
4||850||5s||2s||300
5||900||5s||2s||330
6||950||5s||2s||360
7||1000||5s||2s||390
8||1050||5s||2s||420
9||1100||5s||2s||450
10||1150||5s||2s||480
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:
Faculty Status 87 28 59
Instruction, Research and/or Public Service 87 28 59
Primarily Instruction 87 28 59
Executive, Administrative and/or Managerial 20 18 2
Other Professionals 11 10 1
Technical and/or Paraprofessional 27 14 13
Clerical And Secretarial 14 9 5



TEGRA_table_txt_file: table_7534.txt
TEGRA_TABLE_TEXT: Faculty Status 87 28 59
Instruction, Research and/or Public Service 87 28 59
Primarily Instruction 87 28 59
Executive, Administrative and/or Managerial 20 18 2
Other Professionals 11 10 1
Technical and/or Paraprofessional 27 14 13
Clerical And Secretarial 14 9 5
label: Faculty Status||87||28||59
Instruction, Research and/or Public Service||87||28||59
Primarily Instruction||87||28||59
Executive, Administrative and/or Managerial||20||18||2
Other Professionals||11||10||1
Technical and/or Paraprofessional||27||14||13
Clerical And Secretarial||14||9||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:
Crude Fibre 0.2 -
Fat content 5 -
Crude Ash 1.7 -
Moisture 83 -
Vitamin A (E672) 1250 I.U. -
Vitamin D3 (E671) 250 I.U. -
Zinc Sulphate Monohydrate (E6) 57 -
Manganese Sulphate Monohydrate (E5) 8 -
Calcium Iodate Anhydrous (E2) 0.82 -
Sodium Selenite Anhydrous (E8) 0.67 -



TEGRA_table_txt_file: table_1018.txt
TEGRA_TABLE_TEXT: Crude Fibre 0.2 -
Fat content 5 -
Crude Ash 1.7 -
Moisture 83 -
Vitamin A (E672) 1250 I.U. -
Vitamin D3 (E671) 250 I.U. -
Zinc Sulphate Monohydrate (E6) 57 -
Manganese Sulphate Monohydrate (E5) 8 -
Calcium Iodate Anhydrous (E2) 0.82 -
Sodium Selenite Anhydrous (E8) 0.67 -
label: Crude Fibre||0.2||-
Fat content||5||-
Crude Ash||1.7||-
Moisture||83||-
Vitamin A (E672)||1250 I.U.||-
Vitamin D3 (E671)||250 I.U.||-
Zinc Sulphate Monohydrate (E6)||57||-
Manganese Sulphate Monohydrate (E5)||8||-
Calcium Iodate Anhydrous (E2)||0.82||-
Sodium Selenite Anhydrous (E8)||0.67||-
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
1 32" 25" 35"
3 33" 26" 36"
5 34" 27" 37"
7 35" 28" 38"
9 36" 29" 39"
11 37" 30" 40"
13 38" 32" 41"



TEGRA_table_txt_file: table_5968.txt
TEGRA_TABLE_TEXT: 1 32" 25" 35"
3 33" 26" 36"
5 34" 27" 37"
7 35" 28" 38"
9 36" 29" 39"
11 37" 30" 40"
13 38" 32" 41"
label: 1||32"||25"||35"
3||33"||26"||36"
5||34"||27"||37"
7||35"||28"||38"
9||36"||29"||39"
11||37"||30"||40"
13||38"||32"||41"
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:
4 36 2/3 5.5 4.5
4.5 37 1/3 6 5
5 38 6.5 5.5
5.5 38 2/3 7 6
6 39 1/3 7.5 6.5
6.5 40 8 7
7 40 2/3 8.5 7.5
7.5 41 1/3 9 8
8 42 9.5 8.5
8.5 42 2/3 10 9
9 43 1/3 10.5 9.5
9.5 44 11 10
10 44 2/3 11.5 10.5
10.5 45 1/3 12 11
11 46 12.5 11.5
11.5 46 2/3 13 12
12 47 1/3 13.5 12.5
12.5 48 14 13
13 48 2/3 14.5 13.5



TEGRA_table_txt_file: table_9464.txt
TEGRA_TABLE_TEXT: 4 36 2/3 5.5 4.5
4.5 37 1/3 6 5
5 38 6.5 5.5
5.5 38 2/3 7 6
6 39 1/3 7.5 6.5
6.5 40 8 7
7 40 2/3 8.5 7.5
7.5 41 1/3 9 8
8 42 9.5 8.5
8.5 42 2/3 10 9
9 43 1/3 10.5 9.5
9.5 44 11 10
10 44 2/3 11.5 10.5
10.5 45 1/3 12 11
11 46 12.5 11.5
11.5 46 2/3 13 12
12 47 1/3 13.5 12.5
12.5 48 14 13
13 48 2/3 14.5 13.5
label: 4||36 2/3||5.5||4.5
4.5||37 1/3||6||5
5||38||6.5||5.5
5.5||38 2/3||7||6
6||39 1/3||7.5||6.5
6.5||40||8||7
7||40 2/3||8.5||7.5
7.5||41 1/3||9||8
8||42||9.5||8.5
8.5||42 2/3||10||9
9||43 1/3||10.5||9.5
9.5||44||11||10
10||44 2/3||11.5||10.5
10.5||45 1/3||12||11
11||46||12.5||11.5
11.5||46 2/3||13||12
12||47 1/3||13.5||12.5
12.5||48||14||13
13||48 2/3||14.5||13.5
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:
07/12/2013 Maintenance Worker Apply
08/27/2013 MHT Apply
09/20/2013 Nurse Aide Apply
10/07/2013 MR Quality Specialist Apply
10/07/2013 MR Coder Apply
10/07/2013 Accounts Payable Clerk Apply
10/21/2013 Senior Accountant Apply



TEGRA_table_txt_file: table_206.txt
TEGRA_TABLE_TEXT: 07/12/2013 Maintenance Worker Apply
08/27/2013 MHT Apply
09/20/2013 Nurse Aide Apply
10/07/2013 MR Quality Specialist Apply
10/07/2013 MR Coder Apply
10/07/2013 Accounts Payable Clerk Apply
10/21/2013 Senior Accountant Apply
label: 07/12/2013||Maintenance Worker||Apply
08/27/2013||MHT||Apply
09/20/2013||Nurse Aide||Apply
10/07/2013||MR Quality Specialist||Apply
10/07/2013||MR Coder||Apply
10/07/2013||Accounts Payable Clerk||Apply
10/21/2013||Senior Accountant||Apply
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 Alabama (2) 515 3
3 UCLA 505 5
4 Washington 497 7
5 Texas 491 2
6 New Mexico 453 6
7 Georgia Tech 402 9
8 Florida State 399 4
9 USC 380 8
10 Georgia 370 11
11 Duke 345 10
12 Louisiana State 294 13
13 Stanford 277 16
14 TCU 260 NR
15 Arkansas 256 12
16 SMU 230 15
17 Florida State 226 23
18 Oklahoma State 202 14
19 Illinois 169 17
20 Auburn 140 25
21 Clemson 126 19
22 Kent State 90 22
23 Tennessee 51 NR
24 Oklahoma 42 NR



TEGRA_table_txt_file: table_1340.txt
TEGRA_TABLE_TEXT: 2 Alabama (2) 515 3
3 UCLA 505 5
4 Washington 497 7
5 Texas 491 2
6 New Mexico 453 6
7 Georgia Tech 402 9
8 Florida State 399 4
9 USC 380 8
10 Georgia 370 11
11 Duke 345 10
12 Louisiana State 294 13
13 Stanford 277 16
14 TCU 260 NR
15 Arkansas 256 12
16 SMU 230 15
17 Florida State 226 23
18 Oklahoma State 202 14
19 Illinois 169 17
20 Auburn 140 25
21 Clemson 126 19
22 Kent State 90 22
23 Tennessee 51 NR
24 Oklahoma 42 NR
label: 2||Alabama (2)||515||3
3||UCLA||505||5
4||Washington||497||7
5||Texas||491||2
6||New Mexico||453||6
7||Georgia Tech||402||9
8||Florida State||399||4
9||USC||380||8
10||Georgia||370||11
11||Duke||345||10
12||Louisiana State||294||13
13||Stanford||277||16
14||TCU||260||NR
15||Arkansas||256||12
16||SMU||230||15
17||Florida State||226||23
18||Oklahoma State||202||14
19||Illinois||169||17
20||Auburn||140||25
21||Clemson||126||19
22||Kent State||90||22
23||Tennessee||51||NR
24||Oklahoma||42||NR
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:
Adelaide United FC 2 1 1 0 2 4
Sydney FC 2 1 0 1 -2 3
Central Coast Mariners FC 2 0 2 0 0 2
Melbourne Heart FC 2 0 2 0 0 2
Melbourne Victory FC 2 0 2 0 0 2
Western Sydney FC 2 0 2 0 0 2



TEGRA_table_txt_file: table_2454.txt
TEGRA_TABLE_TEXT: Adelaide United FC 2 1 1 0 2 4
Sydney FC 2 1 0 1 -2 3
Central Coast Mariners FC 2 0 2 0 0 2
Melbourne Heart FC 2 0 2 0 0 2
Melbourne Victory FC 2 0 2 0 0 2
Western Sydney FC 2 0 2 0 0 2
label: Adelaide United FC||2||1||1||0||2||4
Sydney FC||2||1||0||1||-2||3
Central Coast Mariners FC||2||0||2||0||0||2
Melbourne Heart FC||2||0||2||0||0||2
Melbourne Victory FC||2||0||2||0||0||2
Western Sydney FC||2||0||2||0||0||2
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
Hitch Type 3-pt. 3-pt. Pin style Ball receiver 3-pt.
Category Type 1 1 1 - 1
Working Depth (in.) 14 - Adjustable - 8
Max. HP 50 50 - - 50
Required HP 22 - 500cc or more - 3550
Flanges (qty.) - - - - 9
Blades (qty.) 1 6 7 8 54



TEGRA_table_txt_file: table_9376.txt
TEGRA_TABLE_TEXT: Hitch Type 3-pt. 3-pt. Pin style Ball receiver 3-pt.
Category Type 1 1 1 - 1
Working Depth (in.) 14 - Adjustable - 8
Max. HP 50 50 - - 50
Required HP 22 - 500cc or more - 3550
Flanges (qty.) - - - - 9
Blades (qty.) 1 6 7 8 54
label: Hitch Type||3-pt.||3-pt.||Pin style||Ball receiver||3-pt.
Category Type||1||1||1||-||1
Working Depth (in.)||14||-||Adjustable||-||8
Max. HP||50||50||-||-||50
Required HP||22||-||500cc or more||-||3550
Flanges (qty.)||-||-||-||-||9
Blades (qty.)||1||6||7||8||54
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
   ATTACK SET    
## Player gp k k/s pct a a/s pts/s
12 HAPPEL, Lillie 55 167 3.04 .169 22 0.40 3.45
11 MCQUITERY, Nzea 53 101 1.91 .227 5 0.09 2.34
13 CRAYCRAFT, Jade 59 95 1.61 .238 457 7.75 2.19
1 ROLLINS, Kendle 58 92 1.59 .271 1 0.02 2.26
14 BABCOCK, Susan 57 78 1.37 .035 1 0.02 1.77
22 JEFFCOAT, Haley 48 70 1.46 .110 4 0.08 1.75
15 JOHNSON, Monica 34 41 1.21 .080 0 0.00 1.56
7 RACZ, Melissa 26 22 0.85 .132 2 0.08 1.08
10 DOUGLAS, Caroline 2 3 1.50 .143 0 0.00 1.50
2 STAPLETON, Caila 9 2 0.22 .000 29 3.22 0.44
8 SHIPE, Gabrielle 59 0 0.00 .000 45 0.76 0.10
4 REYNOLDS, Allie 51 0 0.00 -.100 32 0.63 0.02
9 CORSON, Kate 8 0 0.00 .000 1 0.12 0.00
20 HARAF, Becca 56 0 0.00 -.500 19 0.34 0.14
 LIBERTY 60 671 11.18 .155 618 10.30 14.40



TEGRA_table_txt_file: table_1708.txt
TEGRA_TABLE_TEXT:    ATTACK SET    
## Player gp k k/s pct a a/s pts/s
12 HAPPEL, Lillie 55 167 3.04 .169 22 0.40 3.45
11 MCQUITERY, Nzea 53 101 1.91 .227 5 0.09 2.34
13 CRAYCRAFT, Jade 59 95 1.61 .238 457 7.75 2.19
1 ROLLINS, Kendle 58 92 1.59 .271 1 0.02 2.26
14 BABCOCK, Susan 57 78 1.37 .035 1 0.02 1.77
22 JEFFCOAT, Haley 48 70 1.46 .110 4 0.08 1.75
15 JOHNSON, Monica 34 41 1.21 .080 0 0.00 1.56
7 RACZ, Melissa 26 22 0.85 .132 2 0.08 1.08
10 DOUGLAS, Caroline 2 3 1.50 .143 0 0.00 1.50
2 STAPLETON, Caila 9 2 0.22 .000 29 3.22 0.44
8 SHIPE, Gabrielle 59 0 0.00 .000 45 0.76 0.10
4 REYNOLDS, Allie 51 0 0.00 -.100 32 0.63 0.02
9 CORSON, Kate 8 0 0.00 .000 1 0.12 0.00
20 HARAF, Becca 56 0 0.00 -.500 19 0.34 0.14
 LIBERTY 60 671 11.18 .155 618 10.30 14.40
label: ||||||ATTACK||SET||||||||
##||Player||gp||k||k/s||pct||a||a/s||pts/s
12||HAPPEL, Lillie||55||167||3.04||.169||22||0.40||3.45
11||MCQUITERY, Nzea||53||101||1.91||.227||5||0.09||2.34
13||CRAYCRAFT, Jade||59||95||1.61||.238||457||7.75||2.19
1||ROLLINS, Kendle||58||92||1.59||.271||1||0.02||2.26
14||BABCOCK, Susan||57||78||1.37||.035||1||0.02||1.77
22||JEFFCOAT, Haley||48||70||1.46||.110||4||0.08||1.75
15||JOHNSON, Monica||34||41||1.21||.080||0||0.00||1.56
7||RACZ, Melissa||26||22||0.85||.132||2||0.08||1.08
10||DOUGLAS, Caroline||2||3||1.50||.143||0||0.00||1.50
2||STAPLETON, Caila||9||2||0.22||.000||29||3.22||0.44
8||SHIPE, Gabrielle||59||0||0.00||.000||45||0.76||0.10
4||REYNOLDS, Allie||51||0||0.00||-.100||32||0.63||0.02
9||CORSON, Kate||8||0||0.00||.000||1||0.12||0.00
20||HARAF, Becca||56||0||0.00||-.500||19||0.34||0.14
||LIBERTY||60||671||11.18||.155||618||10.30||14.40
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 SERRA Henri V1M 03:04:03
3 DUBOCAGE Simon SEM 03:05:07
4 PROST Franck V1M 03:11:45
5 MOZZI Emmanuel V1M 03:12:58
6 GOUY Alexandre SEM 03:13:05
7 CEJKA Jean-françois V2M 03:15:01
8 QUINTARD Johan SEM 03:17:12
9 GUILLAUMIN Roger V2M 03:19:33
10 BAULIMON Frederic SEM 03:19:59
11 CHOMETTE Philippe SEM 03:20:23
12 RAVEAU Alain V2M 03:23:50
13 AUSTRUY Fabien V1M 03:24:11
14 CHAUCHARD Jean-pierre V1M 03:24:42
15 COTTET Herve SEM 03:26:11
16 LETEXIER Patrice V2M 03:27:00
17 REDIER David SEM 03:28:13
18 PERRIER Jean-luc V1M 03:28:33
19 FOURNIER Emmanuel SEM 03:29:03



TEGRA_table_txt_file: table_3012.txt
TEGRA_TABLE_TEXT: 2 SERRA Henri V1M 03:04:03
3 DUBOCAGE Simon SEM 03:05:07
4 PROST Franck V1M 03:11:45
5 MOZZI Emmanuel V1M 03:12:58
6 GOUY Alexandre SEM 03:13:05
7 CEJKA Jean-françois V2M 03:15:01
8 QUINTARD Johan SEM 03:17:12
9 GUILLAUMIN Roger V2M 03:19:33
10 BAULIMON Frederic SEM 03:19:59
11 CHOMETTE Philippe SEM 03:20:23
12 RAVEAU Alain V2M 03:23:50
13 AUSTRUY Fabien V1M 03:24:11
14 CHAUCHARD Jean-pierre V1M 03:24:42
15 COTTET Herve SEM 03:26:11
16 LETEXIER Patrice V2M 03:27:00
17 REDIER David SEM 03:28:13
18 PERRIER Jean-luc V1M 03:28:33
19 FOURNIER Emmanuel SEM 03:29:03
label: 2||SERRA||Henri||V1M||03:04:03
3||DUBOCAGE||Simon||SEM||03:05:07
4||PROST||Franck||V1M||03:11:45
5||MOZZI||Emmanuel||V1M||03:12:58
6||GOUY||Alexandre||SEM||03:13:05
7||CEJKA||Jean-françois||V2M||03:15:01
8||QUINTARD||Johan||SEM||03:17:12
9||GUILLAUMIN||Roger||V2M||03:19:33
10||BAULIMON||Frederic||SEM||03:19:59
11||CHOMETTE||Philippe||SEM||03:20:23
12||RAVEAU||Alain||V2M||03:23:50
13||AUSTRUY||Fabien||V1M||03:24:11
14||CHAUCHARD||Jean-pierre||V1M||03:24:42
15||COTTET||Herve||SEM||03:26:11
16||LETEXIER||Patrice||V2M||03:27:00
17||REDIER||David||SEM||03:28:13
18||PERRIER||Jean-luc||V1M||03:28:33
19||FOURNIER||Emmanuel||SEM||03:29:03
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:
Feb 2,7 -6,3 79 - 63 6,1 -
M&auml;r 7,2 -1,8 104 - 63 7 -
Apr 12,7 2,9 94 - 61 7,5 -
Mai 19,1 8,5 84 - 67 8,2 -
Jun 23,9 13,5 71 - 70 9,1 -
Jul 26,7 16,7 74 - 71 9,4 -
Aug 25,8 15,8 102 - 73 8,5 -
Sep 22,2 12 89 - 73 7,8 -
Okt 16,7 6,3 79 - 70 6,7 -
Nov 10,5 1,3 104 - 69 4,9 -
Dez 4,1 -4,6 91 - 67 4,8 -



TEGRA_table_txt_file: table_5025.txt
TEGRA_TABLE_TEXT: Feb 2,7 -6,3 79 - 63 6,1 -
M&auml;r 7,2 -1,8 104 - 63 7 -
Apr 12,7 2,9 94 - 61 7,5 -
Mai 19,1 8,5 84 - 67 8,2 -
Jun 23,9 13,5 71 - 70 9,1 -
Jul 26,7 16,7 74 - 71 9,4 -
Aug 25,8 15,8 102 - 73 8,5 -
Sep 22,2 12 89 - 73 7,8 -
Okt 16,7 6,3 79 - 70 6,7 -
Nov 10,5 1,3 104 - 69 4,9 -
Dez 4,1 -4,6 91 - 67 4,8 -
label: Feb||2,7||-6,3||79||-||63||6,1||-
M&auml;r||7,2||-1,8||104||-||63||7||-
Apr||12,7||2,9||94||-||61||7,5||-
Mai||19,1||8,5||84||-||67||8,2||-
Jun||23,9||13,5||71||-||70||9,1||-
Jul||26,7||16,7||74||-||71||9,4||-
Aug||25,8||15,8||102||-||73||8,5||-
Sep||22,2||12||89||-||73||7,8||-
Okt||16,7||6,3||79||-||70||6,7||-
Nov||10,5||1,3||104||-||69||4,9||-
Dez||4,1||-4,6||91||-||67||4,8||-