MMTU-benchmark/MMTU huggingface dataset:
Task: Data-Imputation (source dataset: tablib)

Please fill in the missing value in the input table. The missing value is denoted by '[MISSING]'. Please only return the value filled in. Do not return the whole table.

No explanation, return the value filled in JSON format: {"value": "filled_value"}. 

Input Table:
| Unnamed: 0   |   Estimate | Std. Error   |   z value |   Pr(>|z|) |
|:-------------|-----------:|:-------------|----------:|-----------:|
| (Intercept)  |       -0.6 | 0.1          |      -4.7 |        0   |
| ID           |        0   | 0.0          |      -0.5 |        0.6 |
| LIMIT_BAL    |        0   | 0.0          |      -5.2 |        0   |
| SEX          |       -0.1 | 0.0          |      -3.1 |        0   |
| EDUCATION    |       -0.1 | 0.0          |      -4.2 |        0   |
| MARRIAGE     |       -0.2 | 0.0          |      -4.9 |        0   |
| AGE          |        0   | 0.0          |       3.9 |        0   |
| PAY_0        |        0.6 | 0.0          |      29.6 |        0   |
| PAY_2        |        0.1 | 0.0          |       3.4 |        0   |
| PAY_3        |        0.1 | 0.0          |       2.8 |        0   |
| PAY_4        |        0   | 0.0          |       1.3 |        0.2 |
| PAY_5        |        0   | 0.0          |       1   |        0.3 |
| PAY_6        |        0   | 0.0          |      -0.3 |        0.8 |
| BILL_AMT1    |        0   | [MISSING]    |      -5.1 |        0   |
| BILL_AMT2    |        0   | 0.0          |       1.9 |        0.1 |
| BILL_AMT3    |        0   | 0.0          |       1.4 |        0.2 |
| BILL_AMT4    |        0   | 0.0          |       0   |        1   |
| BILL_AMT5    |        0   | 0.0          |      -1.2 |        0.2 |
| BILL_AMT6    |        0   | 0.0          |       2.1 |        0   |
| PAY_AMT1     |        0   | 0.0          |      -5.6 |        0   |
| PAY_AMT2     |        0   | 0.0          |      -3.8 |        0   |
| PAY_AMT3     |        0   | 0.0          |      -1.6 |        0.1 |
| PAY_AMT4     |        0   | 0.0          |      -1.7 |        0.1 |
| PAY_AMT5     |        0   | 0.0          |      -2.6 |        0   |
| PAY_AMT6     |        0   | 0.0          |      -2.2 |        0   |



row_idx: 13
col_idx: 2
col_name: Std. Error
label: 0.0
output: value: 0.0
tablib_key: tables/job=github_000005/batch=003598/vRKE1L9XiVddS9FJL_PAOBplhk1v0Eyfw3z4u5G94Ts=
Task: Data-Imputation (source dataset: tablib)

Please fill in the missing value in the input table. The missing value is denoted by '[MISSING]'. Please only return the value filled in. Do not return the whole table.

No explanation, return the value filled in JSON format: {"value": "filled_value"}. 

Input Table:
|   Unnamed: 0 | CNIC      |   Account No |   Mobile No | DOB        | CustomerName   | Gender   |
|-------------:|:----------|-------------:|------------:|:-----------|:---------------|:---------|
|            0 | 15        |            1 |        2571 | 1990-01-01 | D              | M        |
|            1 | 19        |            1 |        2257 | 1990-01-02 | N              | F        |
|            2 | 5         |            1 |        2383 | 1990-01-03 | A              | F        |
|            3 | 9         |            1 |        2962 | 1990-01-04 | N              | F        |
|            4 | 6         |            1 |        2573 | 1990-01-05 | C              | F        |
|            5 | 19        |            1 |        2808 | 1990-01-06 | J              | F        |
|            6 | 1         |            1 |        2166 | 1990-01-07 | L              | M        |
|            7 | 17        |            1 |        2610 | 1990-01-08 | S              | F        |
|            8 | 14        |            1 |        2124 | 1990-01-09 | A              | M        |
|            9 | 1         |            1 |        2035 | 1990-01-10 | X              | M        |
|           10 | [MISSING] |            1 |        2717 | 1990-01-11 | P              | F        |
|           11 | 6         |            1 |        2809 | 1990-01-12 | T              | M        |
|           12 | 17        |            1 |        2553 | 1990-01-13 | V              | F        |
|           13 | 12        |            1 |        2946 | 1990-01-14 | H              | M        |
|           14 | 19        |            1 |        2272 | 1990-01-15 | X              | F        |
|           15 | 8         |            1 |        2440 | 1990-01-16 | H              | F        |
|           16 | 11        |            1 |        2613 | 1990-01-17 | N              | F        |
|           17 | 16        |            1 |        2127 | 1990-01-18 | T              | F        |
|           18 | 19        |            1 |        2658 | 1990-01-19 | P              | M        |
|           19 | 4         |            1 |        2294 | 1990-01-20 | W              | M        |



row_idx: 10
col_idx: 1
col_name: CNIC
label: 17
output: value: 17
tablib_key: tables/job=github_000005/batch=003598/Rdl53O0L0Gd6TBNkIBAhUEW7_kn6rDZ_iXLJoxF6wwM=
Task: Data-Imputation (source dataset: tablib)

Please fill in the missing value in the input table. The missing value is denoted by '[MISSING]'. Please only return the value filled in. Do not return the whole table.

No explanation, return the value filled in JSON format: {"value": "filled_value"}. 

Input Table:
| Unnamed: 0   |   CNIC |   Account No |   Mobile No | DOB        | CustomerName   | Gender   |
|:-------------|-------:|-------------:|------------:|:-----------|:---------------|:---------|
| 0            |     13 |            2 |        2696 | 1990-01-31 | K              | M        |
| 1            |     13 |            2 |        2407 | 1990-02-28 | I              | M        |
| 2            |     19 |            1 |        2122 | 1990-03-31 | T              | F        |
| 3            |     11 |            1 |        2401 | 1990-04-30 | U              | M        |
| 4            |     15 |            1 |        2460 | 1990-05-31 | S              | M        |
| 5            |      3 |            2 |        2098 | 1990-06-30 | E              | M        |
| 6            |     15 |            3 |        2079 | 1990-07-31 | B              | M        |
| [MISSING]    |      5 |            2 |        2205 | 1990-08-31 | K              | M        |
| 8            |      6 |            2 |        2447 | 1990-09-30 | T              | F        |
| 9            |      9 |            4 |        2469 | 1990-10-31 | J              | F        |
| 10           |     12 |            2 |        2355 | 1990-11-30 | Y              | M        |
| 11           |     11 |            1 |        2219 | 1990-12-31 | O              | M        |
| 12           |      4 |            3 |        2856 | 1991-01-31 | S              | M        |
| 13           |      4 |            3 |        2513 | 1991-02-28 | U              | F        |
| 14           |      7 |            4 |        2412 | 1991-03-31 | X              | F        |
| 15           |      7 |            4 |        2659 | 1991-04-30 | D              | F        |
| 16           |      4 |            1 |        2308 | 1991-05-31 | I              | F        |
| 17           |      6 |            1 |        2233 | 1991-06-30 | R              | F        |
| 18           |      1 |            4 |        2421 | 1991-07-31 | T              | F        |
| 19           |     12 |            2 |        2749 | 1991-08-31 | X              | F        |



row_idx: 7
col_idx: 0
col_name: Unnamed: 0
label: 7
output: value: 7
tablib_key: tables/job=github_000005/batch=003598/Gp1GRceDhBAEcDNJ2z4s6Knm8s8pZeFmgVw5ZdfluGA=
Task: Data-Imputation (source dataset: tablib)

Please fill in the missing value in the input table. The missing value is denoted by '[MISSING]'. Please only return the value filled in. Do not return the whole table.

No explanation, return the value filled in JSON format: {"value": "filled_value"}. 

Input Table:
|   Unnamed: 0 |   CNIC |   Account No |   Mobile No | DOB        | CustomerName   | Gender    |
|-------------:|-------:|-------------:|------------:|:-----------|:---------------|:----------|
|            0 |     13 |            2 |        2696 | 1990-01-31 | K              | M         |
|            1 |     13 |            2 |        2407 | 1990-02-28 | I              | M         |
|            2 |      4 |            1 |        2308 | 1991-05-31 | I              | F         |
|            3 |      4 |            1 |        2308 | 1991-05-31 | I              | F         |
|            4 |      7 |            4 |        2412 | 1991-03-31 | X              | F         |
|            5 |      7 |            4 |        2659 | 1991-04-30 | D              | F         |
|            6 |      4 |            3 |        2856 | 1991-01-31 | S              | M         |
|            7 |      4 |            3 |        2856 | 1991-01-31 | S              | M         |
|            8 |      4 |            3 |        2513 | 1991-02-28 | U              | F         |
|            9 |      4 |            3 |        2513 | 1991-02-28 | U              | F         |
|           10 |      3 |            2 |        2098 | 1990-06-30 | E              | M         |
|           11 |     19 |            1 |        2122 | 1990-03-31 | T              | [MISSING] |
|           12 |     11 |            1 |        2401 | 1990-04-30 | U              | M         |
|           13 |     11 |            1 |        2219 | 1990-12-31 | O              | M         |
|           14 |     15 |            1 |        2460 | 1990-05-31 | S              | M         |
|           15 |     15 |            3 |        2079 | 1990-07-31 | B              | M         |
|           16 |      5 |            2 |        2205 | 1990-08-31 | K              | M         |
|           17 |      6 |            2 |        2447 | 1990-09-30 | T              | F         |
|           18 |      9 |            4 |        2469 | 1990-10-31 | J              | F         |
|           19 |     12 |            2 |        2355 | 1990-11-30 | Y              | M         |
|           20 |     12 |            2 |        2749 | 1991-08-31 | X              | F         |
|           21 |      6 |            1 |        2233 | 1991-06-30 | R              | F         |
|           22 |      1 |            4 |        2421 | 1991-07-31 | T              | F         |



row_idx: 11
col_idx: 6
col_name: Gender
label: F
output: value: F
tablib_key: tables/job=github_000005/batch=003598/N-HF_z5-iCqDRUHZKvJDBnQMs6R0Kn2bmCRTRCzV8Lk=
Task: Data-Imputation (source dataset: tablib)

Please fill in the missing value in the input table. The missing value is denoted by '[MISSING]'. Please only return the value filled in. Do not return the whole table.

No explanation, return the value filled in JSON format: {"value": "filled_value"}. 

Input Table:
| Unnamed: 0   |   CNIC |   TransactionID | Transaction Date   | Gender   |   Actual Amount |
|:-------------|-------:|----------------:|:-------------------|:---------|----------------:|
| 0            |      6 |               1 | 1990-12-31         | F        |            9477 |
| 1            |     19 |               1 | 1991-12-31         | M        |            2902 |
| 2            |     19 |               1 | 1992-12-31         | F        |            3821 |
| 3            |     21 |               1 | 1993-12-31         | M        |            2509 |
| 4            |     21 |               1 | 1994-12-31         | M        |            9100 |
| 5            |     14 |               1 | 1995-12-31         | M        |            9352 |
| 6            |     21 |               1 | 1996-12-31         | M        |            5067 |
| 7            |     21 |               1 | 1997-12-31         | M        |            7307 |
| 8            |     21 |               1 | 1998-12-31         | M        |            8117 |
| 9            |     14 |               1 | 1999-12-31         | M        |            9486 |
| 10           |     21 |               1 | 2000-12-31         | M        |            5200 |
| [MISSING]    |     21 |               1 | 2001-12-31         | F        |            8935 |
| 12           |     21 |               1 | 2002-12-31         | F        |             569 |
| 13           |     21 |               1 | 2003-12-31         | F        |            1994 |
| 14           |      6 |               1 | 2004-12-31         | F        |            8603 |
| 15           |     19 |               1 | 2005-12-31         | M        |             494 |
| 16           |     14 |               1 | 2006-12-31         | M        |            9021 |
| 17           |      6 |               1 | 2007-12-31         | M        |            3946 |
| 18           |      6 |               1 | 2008-12-31         | F        |            6386 |
| 19           |     14 |               1 | 2009-12-31         | M        |            1586 |



row_idx: 11
col_idx: 0
col_name: Unnamed: 0
label: 11
output: value: 11
tablib_key: tables/job=github_000005/batch=003598/PLS9fy5HGzItSIIMfhvRwKBn4e0UcbsghKQ7h5vGcY4=
Task: Data-Imputation (source dataset: tablib)

Please fill in the missing value in the input table. The missing value is denoted by '[MISSING]'. Please only return the value filled in. Do not return the whole table.

No explanation, return the value filled in JSON format: {"value": "filled_value"}. 

Input Table:
|   Unnamed: 0 |   tile |   max |   min |   delta min/max | avg       |   median |   delta avg/median |   stddev |
|-------------:|-------:|------:|------:|----------------:|:----------|---------:|-------------------:|---------:|
|            0 |      1 |  2654 |  1580 |            1074 | 2268.0    |     2432 |                164 |      375 |
|            1 |      2 |  2957 |  2675 |             282 | 2801.0    |     2808 |                  7 |       91 |
|            2 |      3 |  3281 |  2976 |             306 | 3100.0    |     3058 |                 42 |      112 |
|            3 |      4 |  3521 |  3289 |             231 | 3417.0    |     3415 |                  2 |       75 |
|            4 |      5 |  3698 |  3542 |             156 | 3615.0    |     3595 |                 20 |       59 |
|            5 |      6 |  3932 |  3705 |             227 | 3822.0    |     3817 |                  5 |       59 |
|            6 |      7 |  4047 |  3943 |             105 | 3991.0    |     3989 |                  2 |       37 |
|            7 |      8 |  4128 |  4054 |              74 | 4096.0    |     4100 |                  4 |       27 |
|            8 |      9 |  4356 |  4134 |             222 | 4235.0    |     4217 |                 18 |       68 |
|            9 |     10 |  4482 |  4358 |             125 | 4419.0    |     4417 |                  2 |       39 |
|           10 |     11 |  4656 |  4493 |             162 | 4559.0    |     4532 |                 27 |       60 |
|           11 |     12 |  4979 |  4707 |             272 | 4825.0    |     4811 |                 14 |       92 |
|           12 |     13 |  5206 |  4981 |             225 | 5098.0    |     5104 |                  5 |       64 |
|           13 |     14 |  5424 |  5216 |             207 | 5327.0    |     5327 |                  0 |       56 |
|           14 |     15 |  5765 |  5475 |             290 | 5631.0    |     5638 |                  6 |       84 |
|           15 |     16 |  6031 |  5804 |             228 | 5901.0    |     5900 |                  1 |       74 |
|           16 |     17 |  6627 |  6106 |             521 | 6340.0    |     6331 |                  9 |      168 |
|           17 |     18 |  7542 |  6754 |             788 | 7037.0    |     7006 |                 30 |      254 |
|           18 |     19 | 11464 |  7545 |            3920 | [MISSING] |     8351 |                299 |     1185 |
|           19 |     20 | 24659 | 14552 |           10107 | 19662.0   |    19412 |                250 |     2955 |



row_idx: 18
col_idx: 5
col_name: avg
label: 8650.0
output: value: 8650.0
tablib_key: tables/job=github_000005/batch=003598/jRssFYyl4sFNcGQ5-F1yWv5ReaVPt6V_Stp34zC0xio=
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:
CreateBin int16 Create a bin
ITEMNMBR string Item number
IVDOCNBR string Document number
LNSEQNBR Decimal Line sequence number
OverrideBin int16 Override bin shortage
QUANTITY Decimal Quantity
RequesterTrx int16 Requester transaction
SERLTNUM string Serial or lot number
SLTSQNUM int32 Serial or lot sequence number
TOBIN string To bin
USRDEFND1 string User-defined field
USRDEFND2 string User-defined field
USRDEFND3 string User-defined field
USRDEFND4 string User-defined field



TEGRA_table_txt_file: table_6625.txt
TEGRA_TABLE_TEXT: CreateBin int16 Create a bin
ITEMNMBR string Item number
IVDOCNBR string Document number
LNSEQNBR Decimal Line sequence number
OverrideBin int16 Override bin shortage
QUANTITY Decimal Quantity
RequesterTrx int16 Requester transaction
SERLTNUM string Serial or lot number
SLTSQNUM int32 Serial or lot sequence number
TOBIN string To bin
USRDEFND1 string User-defined field
USRDEFND2 string User-defined field
USRDEFND3 string User-defined field
USRDEFND4 string User-defined field
label: CreateBin||int16||Create a bin
ITEMNMBR||string||Item number
IVDOCNBR||string||Document number
LNSEQNBR||Decimal||Line sequence number
OverrideBin||int16||Override bin shortage
QUANTITY||Decimal||Quantity
RequesterTrx||int16||Requester transaction
SERLTNUM||string||Serial or lot number
SLTSQNUM||int32||Serial or lot sequence number
TOBIN||string||To bin
USRDEFND1||string||User-defined field
USRDEFND2||string||User-defined field
USRDEFND3||string||User-defined field
USRDEFND4||string||User-defined field
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:
DB000 Server1 Server2 Server3
DB001 Server2 Server3 Server4
DB002 Server3 Server4 Server1
DB003 Server4 Server1 Server2
DB004 Server1 Server3 Server4
DB005 Server2 Server4 Server1
DB006 Server3 Server1 Server2
DB007 Server4 Server2 Server3
DB008 Server1 Server4 Server2
DB009 Server2 Server1 Server3
DB010 Server3 Server2 Server4
DB011 Server4 Server3 Server1
DB012 Server1 Server2 Server4
DB013 Server2 Server3 Server1
DB014 Server3 Server4 Server2
DB015 Server4 Server1 Server3
DB016 Server1 Server3 Server2
DB017 Server2 Server4 Server3
DB018 Server3 Server1 Server4
DB019 Server4 Server2 Server1
DB020 Server1 Server4 Server3
DB021 Server2 Server1 Server4
DB022 Server3 Server2 Server1



TEGRA_table_txt_file: table_5213.txt
TEGRA_TABLE_TEXT: DB000 Server1 Server2 Server3
DB001 Server2 Server3 Server4
DB002 Server3 Server4 Server1
DB003 Server4 Server1 Server2
DB004 Server1 Server3 Server4
DB005 Server2 Server4 Server1
DB006 Server3 Server1 Server2
DB007 Server4 Server2 Server3
DB008 Server1 Server4 Server2
DB009 Server2 Server1 Server3
DB010 Server3 Server2 Server4
DB011 Server4 Server3 Server1
DB012 Server1 Server2 Server4
DB013 Server2 Server3 Server1
DB014 Server3 Server4 Server2
DB015 Server4 Server1 Server3
DB016 Server1 Server3 Server2
DB017 Server2 Server4 Server3
DB018 Server3 Server1 Server4
DB019 Server4 Server2 Server1
DB020 Server1 Server4 Server3
DB021 Server2 Server1 Server4
DB022 Server3 Server2 Server1
label: DB000||Server1||Server2||Server3
DB001||Server2||Server3||Server4
DB002||Server3||Server4||Server1
DB003||Server4||Server1||Server2
DB004||Server1||Server3||Server4
DB005||Server2||Server4||Server1
DB006||Server3||Server1||Server2
DB007||Server4||Server2||Server3
DB008||Server1||Server4||Server2
DB009||Server2||Server1||Server3
DB010||Server3||Server2||Server4
DB011||Server4||Server3||Server1
DB012||Server1||Server2||Server4
DB013||Server2||Server3||Server1
DB014||Server3||Server4||Server2
DB015||Server4||Server1||Server3
DB016||Server1||Server3||Server2
DB017||Server2||Server4||Server3
DB018||Server3||Server1||Server4
DB019||Server4||Server2||Server1
DB020||Server1||Server4||Server3
DB021||Server2||Server1||Server4
DB022||Server3||Server2||Server1
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
Wind speed (kts) 5 5 4 3 2 2 5 3 3 3 4 4 7
Wind gusts (kts) 7 8 5 4 2 2 10 4 4 4 5 6 8
Wave direction             
Wave height (m) 0.4 0.3 0.3 0.4 0.4 0.5 0.5 0.5 0.5 0.5 0.4 0.0 0.0
Wave period (s) 2 2 3 3 3 3 3 3 3 3 3  
Cloud cover             
Precipitation (mm/3h) 1 0 0 0 1 2 0 0 0 0 0 0 0
Air pressure (hPa) 1016 1015 1016 1016 1014 1013 1013 1015 1013 1012 1013 1014 1012



TEGRA_table_txt_file: table_2556.txt
TEGRA_TABLE_TEXT: Wind speed (kts) 5 5 4 3 2 2 5 3 3 3 4 4 7
Wind gusts (kts) 7 8 5 4 2 2 10 4 4 4 5 6 8
Wave direction             
Wave height (m) 0.4 0.3 0.3 0.4 0.4 0.5 0.5 0.5 0.5 0.5 0.4 0.0 0.0
Wave period (s) 2 2 3 3 3 3 3 3 3 3 3  
Cloud cover             
Precipitation (mm/3h) 1 0 0 0 1 2 0 0 0 0 0 0 0
Air pressure (hPa) 1016 1015 1016 1016 1014 1013 1013 1015 1013 1012 1013 1014 1012
label: Wind speed (kts)||5||5||4||3||2||2||5||3||3||3||4||4||7
Wind gusts (kts)||7||8||5||4||2||2||10||4||4||4||5||6||8
Wave direction||||||||||||||||||||||||||
Wave height (m)||0.4||0.3||0.3||0.4||0.4||0.5||0.5||0.5||0.5||0.5||0.4||0.0||0.0
Wave period (s)||2||2||3||3||3||3||3||3||3||3||3||||
Cloud cover||||||||||||||||||||||||||
Precipitation (mm/3h)||1||0||0||0||1||2||0||0||0||0||0||0||0
Air pressure (hPa)||1016||1015||1016||1016||1014||1013||1013||1015||1013||1012||1013||1014||1012
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:
WATANIYA 88.75 188,408
UCA 23.6 190,528
ZAIN.TASI 9.8 34,151,999
BURUJ 44.9 164,647
EMAAR 6.17 15,910,117



TEGRA_table_txt_file: table_5266.txt
TEGRA_TABLE_TEXT: WATANIYA 88.75 188,408
UCA 23.6 190,528
ZAIN.TASI 9.8 34,151,999
BURUJ 44.9 164,647
EMAAR 6.17 15,910,117
label: WATANIYA||88.75||188,408
UCA||23.6||190,528
ZAIN.TASI||9.8||34,151,999
BURUJ||44.9||164,647
EMAAR||6.17||15,910,117
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:
MKS02.10NF63V20%2.5 N/A 300 Submit RFQ
MKS02.47UF50V20%2.5 N/A 1 Submit RFQ
MKS02.0015UF63V20%2. N/A 51 Submit RFQ
MKS02.0033UF63V20%2. N/A 74 Submit RFQ
MKS02 0.047uF/63V/10% N/A 3000 Submit RFQ
MKS02 2N2 100V 10% R2.5 N/A 1000 Submit RFQ
MKS02 10nF/63V/10% RM2.5 N/A 2800 Submit RFQ



TEGRA_table_txt_file: table_5067.txt
TEGRA_TABLE_TEXT: MKS02.10NF63V20%2.5 N/A 300 Submit RFQ
MKS02.47UF50V20%2.5 N/A 1 Submit RFQ
MKS02.0015UF63V20%2. N/A 51 Submit RFQ
MKS02.0033UF63V20%2. N/A 74 Submit RFQ
MKS02 0.047uF/63V/10% N/A 3000 Submit RFQ
MKS02 2N2 100V 10% R2.5 N/A 1000 Submit RFQ
MKS02 10nF/63V/10% RM2.5 N/A 2800 Submit RFQ
label: MKS02.10NF63V20%2.5||N/A||300||Submit RFQ
MKS02.47UF50V20%2.5||N/A||1||Submit RFQ
MKS02.0015UF63V20%2.||N/A||51||Submit RFQ
MKS02.0033UF63V20%2.||N/A||74||Submit RFQ
MKS02 0.047uF/63V/10%||N/A||3000||Submit RFQ
MKS02 2N2 100V 10% R2.5||N/A||1000||Submit RFQ
MKS02 10nF/63V/10% RM2.5||N/A||2800||Submit RFQ
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 2 Suwaibou Sanneh (GAM) 0.192 21.48 Q
3 3 Dharambir (IND) 0.213 21.48 Q
4 5 Matt Davies (AUS) 0.179 21.54 q
5 4 John Rivan (PNG) 0.218 22.36 
6 7 Ibrahim Turay (SLE) 0.215 22.54 



TEGRA_table_txt_file: table_1516.txt
TEGRA_TABLE_TEXT: 2 2 Suwaibou Sanneh (GAM) 0.192 21.48 Q
3 3 Dharambir (IND) 0.213 21.48 Q
4 5 Matt Davies (AUS) 0.179 21.54 q
5 4 John Rivan (PNG) 0.218 22.36 
6 7 Ibrahim Turay (SLE) 0.215 22.54 
label: 2||2||Suwaibou Sanneh (GAM)||0.192||21.48||Q
3||3||Dharambir (IND)||0.213||21.48||Q
4||5||Matt Davies (AUS)||0.179||21.54||q
5||4||John Rivan (PNG)||0.218||22.36||
6||7||Ibrahim Turay (SLE)||0.215||22.54||
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:
Year Team G GS Solo Ast Tot Sacks Loss Int Yds Avg Lg TD
1989 Tampa Bay (NFL) -- -- -- -- -- 1.0 -- 0 0 0.0 0 0
1990 Tampa Bay (NFL) 8 0 -- -- -- 0.0 -- 0 0 0.0 0 0
1991 Tampa Bay (NFL) 10 9 -- -- -- 1.0 -- 0 0 0.0 0 0
1992 Tampa Bay (NFL) 11 8 -- -- -- 5.0 -- 0 0 0.0 0 0
1993 Tampa Bay (NFL) 16 11 -- -- -- 8.5 -- 1 0 0.0 0t 1
1994 Pittsburgh (NFL) 13 11 -- -- -- 7.0 53.0 0 0 0.0 0 0
1995 Pittsburgh (NFL) 16 16 -- -- -- 8.5 56.0 1 0 0.0 0 0
1997 Carolina (NFL) 14 7 -- -- -- 1.0 12.0 0 0 0.0 0 0



TEGRA_table_txt_file: table_6704.txt
TEGRA_TABLE_TEXT: Year Team G GS Solo Ast Tot Sacks Loss Int Yds Avg Lg TD
1989 Tampa Bay (NFL) -- -- -- -- -- 1.0 -- 0 0 0.0 0 0
1990 Tampa Bay (NFL) 8 0 -- -- -- 0.0 -- 0 0 0.0 0 0
1991 Tampa Bay (NFL) 10 9 -- -- -- 1.0 -- 0 0 0.0 0 0
1992 Tampa Bay (NFL) 11 8 -- -- -- 5.0 -- 0 0 0.0 0 0
1993 Tampa Bay (NFL) 16 11 -- -- -- 8.5 -- 1 0 0.0 0t 1
1994 Pittsburgh (NFL) 13 11 -- -- -- 7.0 53.0 0 0 0.0 0 0
1995 Pittsburgh (NFL) 16 16 -- -- -- 8.5 56.0 1 0 0.0 0 0
1997 Carolina (NFL) 14 7 -- -- -- 1.0 12.0 0 0 0.0 0 0
label: Year||Team||G||GS||Solo||Ast||Tot||Sacks||Loss||Int||Yds||Avg||Lg||TD
1989||Tampa Bay (NFL)||--||--||--||--||--||1.0||--||0||0||0.0||0||0
1990||Tampa Bay (NFL)||8||0||--||--||--||0.0||--||0||0||0.0||0||0
1991||Tampa Bay (NFL)||10||9||--||--||--||1.0||--||0||0||0.0||0||0
1992||Tampa Bay (NFL)||11||8||--||--||--||5.0||--||0||0||0.0||0||0
1993||Tampa Bay (NFL)||16||11||--||--||--||8.5||--||1||0||0.0||0t||1
1994||Pittsburgh (NFL)||13||11||--||--||--||7.0||53.0||0||0||0.0||0||0
1995||Pittsburgh (NFL)||16||16||--||--||--||8.5||56.0||1||0||0.0||0||0
1997||Carolina (NFL)||14||7||--||--||--||1.0||12.0||0||0||0.0||0||0
Task: List-to-table (source dataset: TEGRA)

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

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

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

Input:
15-12-29 Torino Modena 0-0 (0-0)
15-12-29 Alessandria Inter 1-2 (1-1)
15-12-29 Roma Genoa 2-0 (1-0)
15-12-29 Brescia Lazio 3-2 (2-1)
15-12-29 Pro Patria Napoli 3-2 (1-1)
15-12-29 Triestina Livorno 3-0 (2-0)
15-12-29 Milan Cremonese 5-2 (4-0)



TEGRA_table_txt_file: table_5743.txt
TEGRA_TABLE_TEXT: 15-12-29 Torino Modena 0-0 (0-0)
15-12-29 Alessandria Inter 1-2 (1-1)
15-12-29 Roma Genoa 2-0 (1-0)
15-12-29 Brescia Lazio 3-2 (2-1)
15-12-29 Pro Patria Napoli 3-2 (1-1)
15-12-29 Triestina Livorno 3-0 (2-0)
15-12-29 Milan Cremonese 5-2 (4-0)
label: 15-12-29||Torino||Modena||0-0||(0-0)
15-12-29||Alessandria||Inter||1-2||(1-1)
15-12-29||Roma||Genoa||2-0||(1-0)
15-12-29||Brescia||Lazio||3-2||(2-1)
15-12-29||Pro Patria||Napoli||3-2||(1-1)
15-12-29||Triestina||Livorno||3-0||(2-0)
15-12-29||Milan||Cremonese||5-2||(4-0)
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:
In District $8,506 $8,421 $8,387
In State $8,506 $8,421 $8,387
Out of State $25,035 $23,811 $22,817
Books and Supplies $1,272 $1,340 $1,350
On Campus   
Room and Board $8,400 $8,200 $8,008
Other Expenses $2,734 $2,762 $2,776
Off Campus   
Room and Board $8,400 $8,200 $8,008
Other Expenses $2,734 $2,762 $2,776
Off Campus With Family   



TEGRA_table_txt_file: table_5680.txt
TEGRA_TABLE_TEXT: In District $8,506 $8,421 $8,387
In State $8,506 $8,421 $8,387
Out of State $25,035 $23,811 $22,817
Books and Supplies $1,272 $1,340 $1,350
On Campus   
Room and Board $8,400 $8,200 $8,008
Other Expenses $2,734 $2,762 $2,776
Off Campus   
Room and Board $8,400 $8,200 $8,008
Other Expenses $2,734 $2,762 $2,776
Off Campus With Family   
label: In District||$8,506||$8,421||$8,387
In State||$8,506||$8,421||$8,387
Out of State||$25,035||$23,811||$22,817
Books and Supplies||$1,272||$1,340||$1,350
On Campus||||||
Room and Board||$8,400||$8,200||$8,008
Other Expenses||$2,734||$2,762||$2,776
Off Campus||||||
Room and Board||$8,400||$8,200||$8,008
Other Expenses||$2,734||$2,762||$2,776
Off Campus With Family||||||
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:
15 to 19 percent 458 17.64 % 18.42 % 17.40 %
20 to 24 percent 428 16.48 % 15.12 % 13.85 %
25 to 29 percent 202 7.78 % 10.02 % 9.40 %
30 to 34 percent 147 5.66 % 6.24 % 6.01 %
35 percent or more 292 11.24 % 14.10 % 15.91 %



TEGRA_table_txt_file: table_6725.txt
TEGRA_TABLE_TEXT: 15 to 19 percent 458 17.64 % 18.42 % 17.40 %
20 to 24 percent 428 16.48 % 15.12 % 13.85 %
25 to 29 percent 202 7.78 % 10.02 % 9.40 %
30 to 34 percent 147 5.66 % 6.24 % 6.01 %
35 percent or more 292 11.24 % 14.10 % 15.91 %
label: 15 to 19 percent||458||17.64 %||18.42 %||17.40 %
20 to 24 percent||428||16.48 %||15.12 %||13.85 %
25 to 29 percent||202||7.78 %||10.02 %||9.40 %
30 to 34 percent||147||5.66 %||6.24 %||6.01 %
35 percent or more||292||11.24 %||14.10 %||15.91 %
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:
Lille 2012/2013 37 33 16 2 0
Chelsea 2011/2012 26 16 5 1 0
Chelsea 2010/2011 42 22 13 1 0
Chelsea 2009/2010 37 21 12 4 0
Chelsea 2008/2009 41 28 10 1 0
Chelsea 2007/2008 41 29 8 1 0
Chelsea 2006/2007 43 21 7 0 0
Feyenoord 2005/2006 34 34 15 0 0



TEGRA_table_txt_file: table_3473.txt
TEGRA_TABLE_TEXT: Lille 2012/2013 37 33 16 2 0
Chelsea 2011/2012 26 16 5 1 0
Chelsea 2010/2011 42 22 13 1 0
Chelsea 2009/2010 37 21 12 4 0
Chelsea 2008/2009 41 28 10 1 0
Chelsea 2007/2008 41 29 8 1 0
Chelsea 2006/2007 43 21 7 0 0
Feyenoord 2005/2006 34 34 15 0 0
label: Lille||2012/2013||37||33||16||2||0
Chelsea||2011/2012||26||16||5||1||0
Chelsea||2010/2011||42||22||13||1||0
Chelsea||2009/2010||37||21||12||4||0
Chelsea||2008/2009||41||28||10||1||0
Chelsea||2007/2008||41||29||8||1||0
Chelsea||2006/2007||43||21||7||0||0
Feyenoord||2005/2006||34||34||15||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:
OWNER-OPERATOR COOPERATIVE, LLC PRINCETON MA
BLACK MARKET CUSTOM LLC PRINCETON MA
PRINCETON DISTRIBUTION, INC. PRINCETON MA
CONSERVE + EDUCATE INCORPORATED PRINCETON MA
GOAT RIDGE FARM, INC. PRINCETON MA
DREAM HORSE FARM LLC PRINCETON MA
SIXTY FIVE TANZIO RD., LLC PRINCETON MA
R. MUNGOVAN WAREHOUSE, LLC PRINCETON MA
SEEDTHINKERS, INC. PRINCETON MA
WACHUSETT VENTURES, LLC PRINCETON MA
CENTRAL MASS SABERCATS FOOTBALL, LTD. PRINCETON MA
DRUMLIN RUN REALTY, LLC PRINCETON MA
LONG BEAK REALTY, LLC PRINCETON MA
FRIENDS OF MECHANICS HALL, INCORPORATED PRINCETON MA
MORTGAGE INVESTMENTS LLC PRINCETON MA
NE EXCAVATING LLC PRINCETON MA
SHAKER HILLS COUNTRY CLUB, CORP. PRINCETON MA
TEFIELD GROUP LLC PRINCETON MA



TEGRA_table_txt_file: table_6428.txt
TEGRA_TABLE_TEXT: OWNER-OPERATOR COOPERATIVE, LLC PRINCETON MA
BLACK MARKET CUSTOM LLC PRINCETON MA
PRINCETON DISTRIBUTION, INC. PRINCETON MA
CONSERVE + EDUCATE INCORPORATED PRINCETON MA
GOAT RIDGE FARM, INC. PRINCETON MA
DREAM HORSE FARM LLC PRINCETON MA
SIXTY FIVE TANZIO RD., LLC PRINCETON MA
R. MUNGOVAN WAREHOUSE, LLC PRINCETON MA
SEEDTHINKERS, INC. PRINCETON MA
WACHUSETT VENTURES, LLC PRINCETON MA
CENTRAL MASS SABERCATS FOOTBALL, LTD. PRINCETON MA
DRUMLIN RUN REALTY, LLC PRINCETON MA
LONG BEAK REALTY, LLC PRINCETON MA
FRIENDS OF MECHANICS HALL, INCORPORATED PRINCETON MA
MORTGAGE INVESTMENTS LLC PRINCETON MA
NE EXCAVATING LLC PRINCETON MA
SHAKER HILLS COUNTRY CLUB, CORP. PRINCETON MA
TEFIELD GROUP LLC PRINCETON MA
label: OWNER-OPERATOR COOPERATIVE, LLC||PRINCETON||MA
BLACK MARKET CUSTOM LLC||PRINCETON||MA
PRINCETON DISTRIBUTION, INC.||PRINCETON||MA
CONSERVE + EDUCATE INCORPORATED||PRINCETON||MA
GOAT RIDGE FARM, INC.||PRINCETON||MA
DREAM HORSE FARM LLC||PRINCETON||MA
SIXTY FIVE TANZIO RD., LLC||PRINCETON||MA
R. MUNGOVAN WAREHOUSE, LLC||PRINCETON||MA
SEEDTHINKERS, INC.||PRINCETON||MA
WACHUSETT VENTURES, LLC||PRINCETON||MA
CENTRAL MASS SABERCATS FOOTBALL, LTD.||PRINCETON||MA
DRUMLIN RUN REALTY, LLC||PRINCETON||MA
LONG BEAK REALTY, LLC||PRINCETON||MA
FRIENDS OF MECHANICS HALL, INCORPORATED||PRINCETON||MA
MORTGAGE INVESTMENTS LLC||PRINCETON||MA
NE EXCAVATING LLC||PRINCETON||MA
SHAKER HILLS COUNTRY CLUB, CORP.||PRINCETON||MA
TEFIELD GROUP LLC||PRINCETON||MA
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:
1,0 12V Ecotec 43 58 85 6 8 10 Ja* BronzeSilberGold
1,0 12V Twinport Eco 44 60 88 6 8 10 Ja* BronzeSilberGold
1,2 16V Ecotec 55 75 110 6 8 11 Ja* BronzeSilberGold
1,2 16V Twinport Eco 59 80 110 6 8 11 Ja* BronzeSilberGold
1,4 16V Ecotec 66 90 125 8 11 12 Ja* BronzeSilberGold
1,4 16V Twinport Eco 66 90 125 8 11 12 Ja* BronzeSilberGold



TEGRA_table_txt_file: table_9936.txt
TEGRA_TABLE_TEXT: 1,0 12V Ecotec 43 58 85 6 8 10 Ja* BronzeSilberGold
1,0 12V Twinport Eco 44 60 88 6 8 10 Ja* BronzeSilberGold
1,2 16V Ecotec 55 75 110 6 8 11 Ja* BronzeSilberGold
1,2 16V Twinport Eco 59 80 110 6 8 11 Ja* BronzeSilberGold
1,4 16V Ecotec 66 90 125 8 11 12 Ja* BronzeSilberGold
1,4 16V Twinport Eco 66 90 125 8 11 12 Ja* BronzeSilberGold
label: 1,0 12V Ecotec||43||58||85||6||8||10||Ja*||BronzeSilberGold
1,0 12V Twinport Eco||44||60||88||6||8||10||Ja*||BronzeSilberGold
1,2 16V Ecotec||55||75||110||6||8||11||Ja*||BronzeSilberGold
1,2 16V Twinport Eco||59||80||110||6||8||11||Ja*||BronzeSilberGold
1,4 16V Ecotec||66||90||125||8||11||12||Ja*||BronzeSilberGold
1,4 16V Twinport Eco||66||90||125||8||11||12||Ja*||BronzeSilberGold
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:
 High price Low price Dividend
  (per share) 
2009   
First quarter $37.73 $24.85 $0.1250
Second quarter 36.93 28.51 0.1250
Third quarter 37.89 27.98 0.1250
Fourth quarter $43.46 $34.98 0.1300
   $0.5050
2008   
First quarter $58.32 $45.00 $0.1225
Second quarter 71.64 56.17 0.1225
Third quarter 74.86 36.96 0.1225
Fourth quarter $40.35 $20.66 0.1250



TEGRA_table_txt_file: table_8340.txt
TEGRA_TABLE_TEXT:  High price Low price Dividend
  (per share) 
2009   
First quarter $37.73 $24.85 $0.1250
Second quarter 36.93 28.51 0.1250
Third quarter 37.89 27.98 0.1250
Fourth quarter $43.46 $34.98 0.1300
   $0.5050
2008   
First quarter $58.32 $45.00 $0.1225
Second quarter 71.64 56.17 0.1225
Third quarter 74.86 36.96 0.1225
Fourth quarter $40.35 $20.66 0.1250
label: ||High price||Low price||Dividend
||||(per share)||
2009||||||
First quarter||$37.73||$24.85||$0.1250
Second quarter||36.93||28.51||0.1250
Third quarter||37.89||27.98||0.1250
Fourth quarter||$43.46||$34.98||0.1300
||||||$0.5050
2008||||||
First quarter||$58.32||$45.00||$0.1225
Second quarter||71.64||56.17||0.1225
Third quarter||74.86||36.96||0.1225
Fourth quarter||$40.35||$20.66||0.1250
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:
Purple ($140) 4217 3901 3912 3540
Orange ($350) 3915 2725 2636 2564
Champion ($700) 2092 2359 2187 2116
Tiger ($1400) 3406 2604 2059 2030
Howard ($2100) 652 1450 1192 1120
IPTAY ($2800) 1364 2255 2298 2065
Jervey ($4200) - - - 238
McFadden ($5600) 113 361 338 289
Fike ($7000) 183 286 271 262
Heisman ($10000) 201 315 289 290



TEGRA_table_txt_file: table_1393.txt
TEGRA_TABLE_TEXT: Purple ($140) 4217 3901 3912 3540
Orange ($350) 3915 2725 2636 2564
Champion ($700) 2092 2359 2187 2116
Tiger ($1400) 3406 2604 2059 2030
Howard ($2100) 652 1450 1192 1120
IPTAY ($2800) 1364 2255 2298 2065
Jervey ($4200) - - - 238
McFadden ($5600) 113 361 338 289
Fike ($7000) 183 286 271 262
Heisman ($10000) 201 315 289 290
label: Purple ($140)||4217||3901||3912||3540
Orange ($350)||3915||2725||2636||2564
Champion ($700)||2092||2359||2187||2116
Tiger ($1400)||3406||2604||2059||2030
Howard ($2100)||652||1450||1192||1120
IPTAY ($2800)||1364||2255||2298||2065
Jervey ($4200)||-||-||-||238
McFadden ($5600)||113||361||338||289
Fike ($7000)||183||286||271||262
Heisman ($10000)||201||315||289||290
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:
15ème26.08.2012 Enfant de Mayotte 4 - 1 Enfant du port
16ème08.09.2012 RCES Poroani 3 - 1 Enfant du port
17ème16.09.2012 Enfant du port 0 - 1 VCO Vahibé
18ème19.09.2012 US Ouangani 2 - 1 Enfant du port
19ème29.09.2012 Enfant du port 1 - 2 Espérance d'Iloni
20ème07.10.2012 ACS Moinagna - Enfant du port
21ème13.10.2012 Enfant du port 6 - 1 ASJ Handréma
22ème21.10.2012 AJ Kani-kéli 3 - 1 Enfant du port
23ème28.10.2012 Enfant du port 2 - 2 Bandrélé foot
24ème03.11.2012 FC Labattoir 1 - 2 Enfant du port
25ème01.12.2012 Enfant du port 2 - 3 Tchanga SC



TEGRA_table_txt_file: table_9535.txt
TEGRA_TABLE_TEXT: 15ème26.08.2012 Enfant de Mayotte 4 - 1 Enfant du port
16ème08.09.2012 RCES Poroani 3 - 1 Enfant du port
17ème16.09.2012 Enfant du port 0 - 1 VCO Vahibé
18ème19.09.2012 US Ouangani 2 - 1 Enfant du port
19ème29.09.2012 Enfant du port 1 - 2 Espérance d'Iloni
20ème07.10.2012 ACS Moinagna - Enfant du port
21ème13.10.2012 Enfant du port 6 - 1 ASJ Handréma
22ème21.10.2012 AJ Kani-kéli 3 - 1 Enfant du port
23ème28.10.2012 Enfant du port 2 - 2 Bandrélé foot
24ème03.11.2012 FC Labattoir 1 - 2 Enfant du port
25ème01.12.2012 Enfant du port 2 - 3 Tchanga SC
label: 15ème26.08.2012||Enfant de Mayotte||4 - 1||Enfant du port
16ème08.09.2012||RCES Poroani||3 - 1||Enfant du port
17ème16.09.2012||Enfant du port||0 - 1||VCO Vahibé
18ème19.09.2012||US Ouangani||2 - 1||Enfant du port
19ème29.09.2012||Enfant du port||1 - 2||Espérance d'Iloni
20ème07.10.2012||ACS Moinagna||-||Enfant du port
21ème13.10.2012||Enfant du port||6 - 1||ASJ Handréma
22ème21.10.2012||AJ Kani-kéli||3 - 1||Enfant du port
23ème28.10.2012||Enfant du port||2 - 2||Bandrélé foot
24ème03.11.2012||FC Labattoir||1 - 2||Enfant du port
25ème01.12.2012||Enfant du port||2 - 3||Tchanga SC