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

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:
| No. overall   |   No. in season | Title                | Directed by          | Written by       | Original air date   |   Aus. viewers (thousands) |
|:--------------|----------------:|:---------------------|:---------------------|:-----------------|:--------------------|---------------------------:|
| 35            |               1 | "First Blood"        | Kevin Carlin         | John Ridley      | 10 May 2016         |                        140 |
| 36            |               2 | "Poking Spiders"     | Kevin Carlin         | Marcia Gardner   | 17 May 2016         |                         97 |
| 37            |               3 | "Prisoner"           | Steve Jodrell        | Pete McTighe     | 24 May 2016         |                         81 |
| 38            |               4 | "Screw Lover"        | Steve Jodrell        | Michael Lucas    | 31 May 2016         |                         97 |
| 39            |               5 | "Love and Hate"      | Jet Wilkinson        | John Ridley      | 7 June 2016         |                        103 |
| 40            |               6 | "Divide and Conquer" | Jet Wilkinson        | Marcia Gardner   | 14 June 2016        |                        119 |
| 41            |               7 | "Panic Button"       | Adrian Russell Wills | Pete McTighe     | 21 June 2016        |                        121 |
| [MISSING]     |               8 | "Plan Bea"           | Adrian Russell Wills | Michael Lucas    | 28 June 2016        |                         84 |
| 43            |               9 | "Afterlife"          | Steve Jodrell        | Michael Lucas    | 5 July 2016         |                        110 |
| 44            |              10 | "Smitten"            | Steve Jodrell        | Samantha Winston | 12 July 2016        |                        110 |
| 45            |              11 | "Eleventh Hour"      | Kevin Carlin         | John Ridley      | 19 July 2016        |                        123 |
| 46            |              12 | "Seeing Red"         | Kevin Carlin         | Pete McTighe     | 26 July 2016        |                         95 |



row_idx: 7
col_idx: 0
col_name: No. overall
label: 42
Task: Data-Imputation (source dataset: WebTable)

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:
| Category/Case Quality    | All   | Excellent   | Good      | Doubtful   | Poor   |
|:-------------------------|:------|:------------|:----------|:-----------|:-------|
| Astronomical             | 22%   | 24%         | 23%       | 19%        | 23%    |
| Aircraft                 | 22%   | 19%         | 22%       | 25%        | 16%    |
| Balloon                  | 15%   | 12%         | 17%       | 17%        | 13%    |
| Light phenomena          | 2.2%  | .9%         | 2.4%      | 2.9%       | 1.1%   |
| Birds                    | 1.0%  | 0.9%        | 1.0%      | 1.2%       | 0.7%   |
| Clouds, dust, etc.       | 0.4%  | 0%          | 1.0%      | 0.4%       | 0%     |
| Psychological            | 2.0%  | 0%          | 0.5%      | 3.3%       | 3.3%   |
| Other                    | 5%    | 5%          | [MISSING] | 5%         | 6%     |
| Insufficient information | 9%    | 4%          | 4%        | 14%        | 21%    |
| Unknown origin           | 22%   | 33%         | 25%       | 13%        | 17%    |



row_idx: 7
col_idx: 3
col_name: Good
label: 5%
Task: Data-Imputation (source dataset: WebTable)

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:
| Team                          | Current Nickname   | Founded   |   Joined VFL/AFL |
|:------------------------------|:-------------------|:----------|-----------------:|
| Adelaide Football Club        | Crows              | 1990      |             1991 |
| Brisbane Lions                | Lions              | 1996      |             1997 |
| Carlton Football Club         | Blues              | 1864      |             1897 |
| Collingwood Football Club     | Magpies            | 1892      |             1897 |
| Essendon Football Club        | Bombers            | 1871      |             1897 |
| Fremantle Football Club       | Dockers            | 1994      |             1995 |
| Geelong Football Club         | Cats               | 1859      |             1897 |
| Gold Coast Football Club      | Suns               | 2009      |             2011 |
| Greater Western Sydney        | Giants             | 2009      |             2012 |
| Hawthorn Football Club        | Hawks              | 1902      |             1925 |
| North Melbourne Football Club | Kangaroos          | 1869      |             1925 |
| Melbourne Football Club       | Demons             | 1859      |             1897 |
| Port Adelaide Football Club   | Power              | 1870      |             1997 |
| Richmond Football Club        | Tigers             | 1885      |             1908 |
| St Kilda Football Club        | Saints             | 1873      |             1897 |
| Sydney Swans                  | Swans              | 1874*     |             1897 |
| West Coast Eagles             | [MISSING]          | 1986      |             1987 |
| Western Bulldogs              | Bulldogs           | 1877      |             1925 |



row_idx: 16
col_idx: 1
col_name: Current Nickname
label: Eagles
Task: Data-Imputation (source dataset: WebTable)

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:
| 1982 Alberta general election results   | Turnout 61.14%   | Swing    |
|:----------------------------------------|:-----------------|:---------|
| Candidate                               | [MISSING]        | Personal |
| Milt Pahl                               | 55.87%           | nan      |
| Gerry Gibeault                          | 28.56%           | nan      |
| Dave Fletcher                           | 10.48%           | nan      |
| Winston Mohabir                         | 3.27%            | nan      |
| Terry Juba                              | 1.82%            | nan      |
| Total                                   | nan              | nan      |
| Rejected, spoiled and declined          | nan              | nan      |
| Eligible electors / Turnout             | %                | nan      |
| Progressive Conservative hold           | Swing            | nan      |



row_idx: 0
col_idx: 1
col_name: Turnout 61.14%
label: %
Task: Data-Imputation (source dataset: WebTable)

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:
|   S.No. | Suryapet revenue division   | Kodad revenue division   |
|--------:|:----------------------------|:-------------------------|
|       1 | Athmakur (S) mandal         | Chilkur mandal           |
|       2 | Chivvemla mandal            | Huzurnagar mandal        |
|       3 | Mothey mandal               | Kodad mandal             |
|       4 | Jajireddygudem mandal       | Mattampally mandal       |
|       5 | Nuthankal mandal            | Mellachervu mandal       |
|       6 | Penpahad mandal             | Munagala mandal          |
|       7 | Suryapet mandal             | Nadigudem mandal         |
|       8 | Thirumalagiri mandal        | Ananthagiri mandal       |
|       9 | Thungathurthy mandal        | Mallareddygudem mandal   |
|      10 | Garidepally mandal          | nan                      |
|      11 | [MISSING]                   | nan                      |
|      12 | Nagaram mandal              | nan                      |
|      13 | Maddirala mandal            | nan                      |
|      14 | Palakeedu mandal            | nan                      |



row_idx: 10
col_idx: 1
col_name: Suryapet revenue division
label: Neredcherla mandal
Task: Data-Imputation (source dataset: WebTable)

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:
| Event             | Class   | Men(MQS)   | Men(MET)   | Women(MQS)   | Women(MET)   |
|:------------------|:--------|:-----------|:-----------|:-------------|:-------------|
| 400 m freestyle   | S6      | 5:58.00    | 6:12.00    | 6:42.00      | 6:58.00      |
| 400 m freestyle   | S7      | 5:38.00    | 5:52.00    | 6:20.00      | 6:35.00      |
| 400 m freestyle   | S8      | 4:57.00    | 5:09.00    | 5:51.00      | 6:05.00      |
| 400 m freestyle   | S9      | 4:41.00    | 4:52.00    | 5:19.00      | 5:32.00      |
| 400 m freestyle   | S10     | 4:28.00    | 4:39.00    | 5:01.00      | 5:13.00      |
| 400 m freestyle   | S11     | 6:59.00    | 7:16.00    | 7:35.00      | 7:53.00      |
| 400 m freestyle   | S13     | 4:55.00    | 5:06.00    | 5:47.00      | 6:00.00      |
| 50 m backstroke   | S1      | 1:43.00    | 1:47.00    | nan          | nan          |
| 50 m backstroke   | S2      | 1:45.00    | 1:52.00    | 1:24.00      | [MISSING]    |
| 50 m backstroke   | S3      | 1:19.00    | 1:24.00    | 1:31.00      | 1:37.00      |
| 50 m backstroke   | S4      | 59.00      | 1:02.00    | 1:17.00      | 1:21.00      |
| 50 m backstroke   | S5      | 48.00      | 51.00      | 59.00        | 1:03.00      |
| 100 m backstroke  | S1      | 3:47.00    | 4:01.00    | nan          | nan          |
| 100 m backstroke  | S2      | 2:50.00    | 3:00.00    | 2:59.00      | 3:08.00      |
| 100 m backstroke  | S6      | 1:36.00    | 1:41.00    | 1:47.00      | 1:52.00      |
| 100 m backstroke  | S7      | 1:24.00    | 1:28.00    | 1:41.00      | 1:46.00      |
| 100 m backstroke  | S8      | 1:17.00    | 1:21.00    | 1:33.00      | 1:37.00      |
| 100 m backstroke  | S9      | 1:10.00    | 1:13.00    | 1:20.00      | 1:24.00      |
| 100 m backstroke  | S10     | 1:06.00    | 1:09.00    | 1:16.00      | 1:19.00      |
| 100 m backstroke  | S11     | 1:31.00    | 1:35.00    | 1:59.00      | 2:04.00      |
| 100 m backstroke  | S12     | 1:19.00    | 1:23.00    | 1:57.00      | 2:03.00      |
| 100 m backstroke  | S13     | 1:16.00    | 1:20.00    | 1:30.00      | 1:35.00      |
| 100 m backstroke  | S14     | 1:07.00    | 1:17.00    | 1:10.00      | 1:21.00      |
| 50 m breaststroke | SB2     | 1:35.00    | 1:39.00    | nan          | nan          |
| 50 m breaststroke | SB3     | 1:02.00    | 1:05.00    | 2:44.00      | 2:52.00      |



row_idx: 8
col_idx: 5
col_name: Women(MET)
label: 1:28.00
Task: Data-Imputation (source dataset: WebTable)

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:
| Album           | Date              | Title                      |   Peak position | Chart Run   | Sales     |
|:----------------|:------------------|:---------------------------|----------------:|:------------|:----------|
| Black           | 7 March 2001      | "Never Ever"               |               1 | 12 weeks    | 756,980   |
| Black           | 16 May 2001       | "Endless Sorrow"           |               1 | 11 weeks    | [MISSING] |
| Black           | 27 September 2001 | "Dearest"                  |               1 | 16 weeks    | 750,420   |
| Black           | 24 April 2002     | "Free & Easy"              |               1 | 9 weeks     | 486,520   |
| Black           | 6 November 2003   | "No Way to Say"            |               1 | 12 weeks    | 371,171   |
| Black           | 29 November 2004  | "Carols"                   |               1 | 14 weeks    | 309,128   |
| Black           | 14 November 2005  | "Heaven"                   |               1 | 14 weeks    | 326,694   |
| White           | 31 January 2001   | "Evolution"                |               1 | 17 weeks    | 955,250   |
| White           | 11 July 2001      | "Unite!"                   |               1 | 10 weeks    | 571,110   |
| White           | 12 December 2001  | "A Song Is Born"           |               1 | 10 weeks    | 441,410   |
| White           | 26 November 2002  | "Voyage"                   |               1 | 28 weeks    | 679,463   |
| White           | 31 March 2004     | "Moments"                  |               1 | 21 weeks    | 302,923   |
| White           | 3 August 2005     | "Fairyland c/w Alterna"    |               1 | 13 weeks    | 316,663   |
| Black and White | 24 July 2002      | "H"                        |               1 | 24 weeks    | 1,016,000 |
| Black and White | 9 July 2003       | "&"                        |               1 | 16 weeks    | 591,481   |
| Black and White | 28 July 2004      | "Inspire c/w Game"         |               1 | 15 weeks    | 329,145   |
| Black and White | 20 April 2005     | "Step You / Is This Love?" |               1 | 19 weeks    | 345,340   |



row_idx: 1
col_idx: 5
col_name: Sales
label: 768,510
Task: Data-Imputation (source dataset: WebTable)

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:
| Baker      | Signature (Tarte Tatin)                           | Technical (Treacle Tart)   | Showstopper (Designer Fruit Tart)                  |
|:-----------|:--------------------------------------------------|:---------------------------|:---------------------------------------------------|
| Brendan    | Apple and Ginger Tarte Tatin                      | 9th                        | Blackberry, Apple, Nectarine and Dragon Fruit Tart |
| Cathryn    | Plum, Cherry and Five Spice Tarte Tatin           | 3rd                        | Raspberry, Pistachio and Lemon Tart                |
| Danny      | Savoury Pear and Roquefort Tarte Tatin            | 2nd                        | Pineapple, Coconut and Frangipane Tart             |
| James      | Apple and Lavender Tarte Tatin                    | 1st                        | Rose, Lychee and Raspberry Fruit Tart              |
| John       | Apple and Vanilla Tarte Tatin with Walnut Praline | 6th                        | Berries, Grapes and Pomegranate Tart               |
| Manisha    | Cinnamon, Apple and Pear Tarte Tatin              | 10th                       | Rum and Tropical Fruit Tart                        |
| Ryan       | Spiced Pear Tarte Tatin                           | [MISSING]                  | nan                                                |
| Sarah-Jane | Banana Tarte Tatin                                | 8th                        | French Apple Tart with Blackberry and Cassis Jam   |
| Victoria   | Fig, Walnut and Pink Peppercorn Tarte Tatin       | 4th                        | Tropical Fruit Tart with Black Pepper Crust        |
| Stuart     | Pear and Almond Tarte Tatin                       | 7th                        | Raspberry Triple Chocolate Layered Tart            |



row_idx: 6
col_idx: 2
col_name: Technical (Treacle Tart)
label: 5th
Task: Data-Imputation (source dataset: WebTable)

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:
| Athlete            | Event                      | Heats(Result)   | Heats(Rank)   | Final(Result)   | Final(Rank)     |
|:-------------------|:---------------------------|:----------------|:--------------|:----------------|:----------------|
| Avril Davis        | 100 m backstroke 5         | 2:30.251        | 11            | Did not advance | Did not advance |
| Avril Davis        | 100 m freestyle 5          | 2:09.517        | 9             | Did not advance | Did not advance |
| Stephanie Gillies  | 25 m backstroke 2          | 39.6            | 9             | Did not advance | Did not advance |
| Stephanie Gillies  | 25 m breaststroke 2        | 37.6            | 7 Q           | 36.8            | 7               |
| Stephanie Gillies  | 25 m freestyle 2           | [MISSING]       | 8 Q           | 36.3            | 6               |
| Sandra James       | 25 m backstroke 1A         | nan             | nan           | 1:47.3          | 6               |
| Sandra James       | 25 m breaststroke 1A       | nan             | nan           | 1:13.3          | nan             |
| Sandra James       | 25 m freestyle 1A          | nan             | nan           | 1:10.0 WR       | nan             |
| Willemina Kruger   | 100 m breaststroke 6       | 2:34.618        | 6 Q           | 2:35.405        | 6               |
| Willemina Kruger   | 100 m freestyle 6          | 1:49.463        | 7 Q           | 1:47.612        | 7               |
| Lizette Nel        | 25 m backstroke 2          | 48.1            | 17            | Did not advance | Did not advance |
| Lizette Nel        | 25 m breaststroke 2        | 56.3            | 14            | Did not advance | Did not advance |
| Lizette Nel        | 25 m freestyle 2           | 48.9            | 10            | Did not advance | Did not advance |
| Eileen Robertson   | 25 m backstroke 1B         | 45.0            | 6             | Did not advance | Did not advance |
| Eileen Robertson   | 25 m breaststroke 1B       | nan             | nan           | 52.9            | nan             |
| Eileen Robertson   | 25 m freestyle 1B          | nan             | nan           | 52.7            | nan             |
| Elizabeth Weppener | 100 m backstroke 5         | 2:03.550        | 8             | Did not advance | Did not advance |
| Elizabeth Weppener | 100 m freestyle 5          | 2:05.817        | 8 Q           | 1:59.808        | 8               |
| Elizabeth Weppener | 3x25 m individual medley 4 | 1:33.4          | 4 Q           | 1:48.8          | 6               |



row_idx: 4
col_idx: 2
col_name: Heats(Result)
label: 37.7
Task: Data-Imputation (source dataset: WebTable)

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   | Population   | Percentage   |
|:-------------|:-------------|:-------------|
| French       | 3,455        | 33.7%        |
| Canadian     | [MISSING]    | 27.6%        |
| German       | 2,465        | 24.0%        |
| Scottish     | 1,995        | 19.5%        |
| English      | 1,975        | 19.3%        |
| Ukrainian    | 1,655        | 16.1%        |
| Metis        | 1,520        | 14.8%        |
| Irish        | 1,365        | 13.3%        |
| Russian      | 955          | 9.3%         |
| Dutch        | 735          | 7.2%         |



row_idx: 1
col_idx: 1
col_name: Population
label: 2,830
Task: Data-Imputation (source dataset: WebTable)

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:
|   No. | Title                                        | Writer                     | Original airdate   |
|------:|:---------------------------------------------|:---------------------------|:-------------------|
|     1 | Pilot                                        | Gardner Stern              | July 17, 2002      |
|     2 | "Hi, Noonan"                                 | Greg Walker, Gardner Stern | July 17, 2002      |
|     3 | "Spin Art"                                   | Ian Biederman              | TBA                |
|     4 | "Wall-to-Wall Plane Crash"                   | John Chambers              | TBA                |
|     5 | "Dunne's Choice"                             | Janet Tamaro               | TBA                |
|     6 | "Rachel Glass and the No Good, Very Bad Day" | Anne Kenney                | TBA                |
|     7 | "Victims"                                    | Doug Jung                  | TBA                |
|     8 | "Broadcast from Hell"                        | TBA                        | TBA                |
|     9 | "Story Vanishes"                             | Janet Tamaro               | TBA                |
|    10 | "My Suspect Vinny"                           | TBA                        | TBA                |
|    11 | "Bad Water"                                  | John Chambers              | TBA                |
|    12 | "I24 Gate"                                   | Ian Biederman, Doug Jung   | [MISSING]          |
|    13 | "Karma"                                      | Anne Kenney, Janet Tamaro  | TBA                |



row_idx: 11
col_idx: 3
col_name: Original airdate
label: TBA
Task: Data-Imputation (source dataset: WebTable)

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:
| Season            | Location                                | Date         |
|:------------------|:----------------------------------------|:-------------|
| Boston, MA        | Willard Athletic Complex                | May 14 & 15  |
| Philadelphia, PA  | The grounds of The Glen Mills Schools   | June 4 & 5   |
| New Jersey, NJ    | Essex County South Mountain Reservation | [MISSING]    |
| Denver, CO        | Salisbury North                         | July 16      |
| Detroit, MI       | Willow Metropark                        | August 6     |
| Twin Cities, MN   | Scott County Fair                       | August 20    |
| Chicago, IL       | Lake County Fairgrounds                 | September 10 |
| San Francisco, CA | Solano County Fairgrounds               | October 1    |
| Houston, TX       | Royal Purple Raceway                    | October 15   |
| Dallas, TX        | Southfork Ranch                         | October 29   |
| Los Angeles, CA   | Prado Regional Park                     | November 12  |



row_idx: 2
col_idx: 2
col_name: Date
label: June 25 & 26
Task: Data-Imputation (source dataset: WebTable)

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:
| Char   |   Freq | Code      |
|:-------|-------:|:----------|
| space  |      7 | 111       |
| a      |      4 | 10        |
| e      |      4 | 0         |
| f      |      3 | 1101      |
| h      |      2 | 1010      |
| i      |      2 | 1000      |
| m      |      2 | 111       |
| n      |      2 | 10        |
| s      |      2 | 1011      |
| t      |      2 | 110       |
| l      |      1 | 11001     |
| o      |      1 | 110       |
| p      |      1 | 10011     |
| r      |      1 | [MISSING] |
| u      |      1 | 111       |
| x      |      1 | 10010     |



row_idx: 13
col_idx: 2
col_name: Code
label: 11000
Task: Data-Imputation (source dataset: WebTable)

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:
| Model              | First Walk   | Notes    |
|:-------------------|:-------------|:---------|
| Frankie Rayder     | 1999         | nan      |
| Raquel Zimmermann  | 2002         | Newcomer |
| Liya Kebede        | 2002         | Newcomer |
| Dewi Driegen       | 2002         | Newcomer |
| Ana Beatriz Barros | 2002         | Newcomer |
| Caroline Ribeiro   | [MISSING]    | nan      |
| Caitriona Balfe    | 2002         | Newcomer |
| Inga Savits        | 2002         | Newcomer |
| Ujjwala Raut       | 2002         | Newcomer |
| Ana Hickmann       | 2002         | Newcomer |
| Reka Ebergenyi     | 2002         | Newcomer |
| Oluchi Onweagba    | 2000         | nan      |
| Yfke Sturm         | 2002         | Newcomer |
| Bridget Hall       | 1998         | nan      |



row_idx: 5
col_idx: 1
col_name: First Walk
label: 2000
Task: Data-Imputation (source dataset: WebTable)

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:
| Year      | Winners                 | Runners-up           | Third place       |
|:----------|:------------------------|:---------------------|:------------------|
| 1959      | Durban City (1)         | Rangers Johannesburg | Durban United     |
| 1960      | Highlands Park (1)      | Durban City          | Germiston Callies |
| 1961      | Durban City (2)         | Highlands Park       | Germiston Callies |
| 1962      | Highlands Park (2)      | Southern Suburbs     | Durban City       |
| 1963      | Addington (1)           | Highlands Park       | Durban City       |
| 1964      | Highlands Park (3)      | Durban City          | Durban United     |
| 1965      | Highlands Park (4)      | Cape Town City       | Durban City       |
| 1966      | Highlands Park (5)      | Port Elizabeth City  | Durban United     |
| 1967      | Port Elizabeth City (1) | Highlands Park       | Cape Town City    |
| 1968      | Highlands Park (6)      | Durban United        | Powerlines        |
| 1969      | Durban Spurs (2*)       | Powerlines           | Highlands Park    |
| 1970      | Durban City (3)         | Cape Town City       | Maritzburg        |
| 1971      | Hellenic (1)            | Cape Town City       | Durban City       |
| 1972      | Durban City (4)         | Hellenic             | Berea Park        |
| 1973      | Cape Town City (1)      | Highlands Park       | Hellenic          |
| 1974      | Arcadia Shepherds (1)   | Cape Town City       | Maritzburg        |
| [MISSING] | Highlands Park (7)      | Hellenic             | Maritzburg        |
| 1976      | Cape Town City (2)      | Highlands Park       | Wits University   |
| 1977      | Highlands Park (8)      | Lusitano             | Durban United     |



row_idx: 16
col_idx: 0
col_name: Year
label: 1975
Task: Data-Imputation (source dataset: WebTable)

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:
| Title              | Author            | Release Date   | ISBN           |
|:-------------------|:------------------|:---------------|:---------------|
| Double Dealer      | Max Allan Collins | November 2001  | 978-0743444040 |
| Sin City           | Max Allan Collins | October 2002   | 978-0743444057 |
| Cold Burn          | Max Allan Collins | April 2003     | 978-0743444071 |
| Body of Evidence   | Max Allan Collins | November 2003  | 978-0743455824 |
| Grave Matters      | Max Allan Collins | October 2004   | 978-0743495752 |
| Binding Ties       | Max Allan Collins | April 2005     | 978-0743496636 |
| Killing Game       | Max Allan Collins | November 2005  | 978-0743496643 |
| Snake Eyes         | Max Allan Collins | September 2006 | 978-0743496650 |
| In Extremis        | Ken Goddard       | October 2007   | 978-1847390103 |
| Bad Rap            | Max Allan Collins | March 2008     | 978-1600102028 |
| Nevada Rose        | Jerome Preisler   | June 2008      | 978-1416544999 |
| [MISSING]          | Greg Cox          | October 2008   | 978-1416545002 |
| Brass In Pocket    | Jeff Mariotte     | August 2009    | 978-1416545170 |
| The Killing Jar    | Donn Cortez       | November 2009  | 978-1439153703 |
| Blood Quantum      | Jeff Mariotte     | February 2010  | 978-1439160787 |
| Dark Sundays       | Donn Cortez       | May 2010       | 978-1439160862 |
| Skin Deep          | Jerome Preisler   | August 2010    | 978-1439160824 |
| Shock Treatment    | Greg Cox          | November 2010  | 978-1439160800 |
| The Burning Season | Jeff Mariotte     | June 2011      | 978-1439160879 |



row_idx: 11
col_idx: 0
col_name: Title
label: Headhunter
Task: Data-Imputation (source dataset: WebTable)

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:
| #   | State          |   US 1850 |   US 1860 |   CSA |
|:----|:---------------|----------:|----------:|------:|
| 1.  | Virginia**     |        13 |        11 |    16 |
| 2.  | Tennessee**    |        10 |         8 |    11 |
| 3.  | [MISSING]      |         8 |         7 |    10 |
| 3.  | North Carolina |         8 |         7 |    10 |
| 5.  | Alabama        |         7 |         6 |     9 |
| 6.  | Louisiana**    |         4 |         5 |     6 |
| 6.  | Mississippi    |         5 |         5 |     7 |
| 8.  | South Carolina |         6 |         4 |     6 |
| 8.  | Texas          |         2 |         4 |     6 |
| 10. | Arkansas       |         2 |         3 |     4 |
| 11. | Florida        |         1 |         1 |     2 |
| --  | Kentucky**     |        10 |         9 |    12 |
| --  | Missouri**     |         7 |         9 |     6 |



row_idx: 2
col_idx: 1
col_name: State
label: Georgia
Task: Data-Imputation (source dataset: WebTable)

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:
| No.       | Parts                                            | Original airdate   |
|:----------|:-------------------------------------------------|:-------------------|
| 1         | "Oops! / Don't Tell Me"                          | TBA                |
| 2         | "Follow the Leader / Disappearing Ditz"          | TBA                |
| 3         | "I'm Going to Tell... / The Cat Toy That Roared" | TBA                |
| 4         | "Rock-a-Bye Worries / The Magic Fish"            | TBA                |
| 5         | "Climbers / Be Plush"                            | TBA                |
| 6         | "Queen Raisin / Balthazar in Beam Land"          | TBA                |
| 7         | "Ditz and Datz / Mummies"                        | TBA                |
| 8         | "All Washed Up / Bunnochio"                      | TBA                |
| 9         | "More Than a Mouse / Happy Hortense to You"      | TBA                |
| 10        | "Down with Dinkybeard / The Sky is Falling!"     | TBA                |
| 11        | "Baby Balthazar / True Mew"                      | TBA                |
| 12        | "Mr. and Mrs. Rugby / I Spy"                     | TBA                |
| [MISSING] | "Who Shares Wins / It's a Giveaway"              | TBA                |



row_idx: 12
col_idx: 0
col_name: No.
label: 13
Task: Data-Imputation (source dataset: WebTable)

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:
|   Season | Team      |   A | Pts       |   LB |   PIM | GP   | G   |
|---------:|:----------|----:|:----------|-----:|------:|:-----|:----|
|     2002 | Columbus  |   1 | 1         |   59 |    13 | --   | --  |
|     2003 | Columbus  |   2 | 2         |   31 |    13 | --   | --  |
|     2004 | Arizona   |   3 | 5         |   29 |    17 | --   | --  |
|     2005 | Minnesota |   4 | [MISSING] |   48 |    45 | --   | --  |
|     2006 | Minnesota |   6 | 8         |   65 |    32 | 1    | 0   |
|     2007 | Minnesota |  14 | 23        |  108 |    16 | 1    | 2   |
|     2008 | Minnesota |   5 | 14        |   87 |    36 | 1    | 0   |
|     2009 | Minnesota |   3 | 7         |   87 |    20 | --   | --  |
|     2010 | Minnesota |   4 | 4         |   33 |    16 | --   | --  |
|     2011 | Minnesota |   5 | 5         |   20 |     2 | 1    | 0   |
|     2012 | Rochester |   1 | 2         |   31 |     6 | 3    | 1   |



row_idx: 3
col_idx: 3
col_name: Pts
label: 9
Task: Data-Imputation (source dataset: WebTable)

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:
|   Position | Manufacturer   |   Points |
|-----------:|:---------------|---------:|
|          1 | Holden         |      763 |
|          2 | Toyota         |      593 |
|          3 | Proton         |      589 |
|          4 | Volkswagen     |      374 |
|          5 | Ford           |      318 |
|          6 | Honda          |      310 |
|          7 | [MISSING]      |      210 |
|          8 | Daihatsu       |      209 |
|          9 | Alfa Romeo     |       74 |
|         10 | Mitsubishi     |       62 |



row_idx: 6
col_idx: 1
col_name: Manufacturer
label: BMW
Task: Data-Imputation (source dataset: WebTable)

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          | Leg 1   |   Total | Leg 2   | Leg 3   | Leg 4   | Leg 5   | Leg 6   | Leg 7     | Leg 8   | Leg 9   |
|:--------------------|:--------|--------:|:--------|:--------|:--------|:--------|:--------|:----------|:--------|:--------|
| EF Language         | 125     |     836 | 72      | 105     | 70      | 135     | 101     | 81        | 55      | 92      |
| Merit Cup           | 110     |     698 | 48      | 70      | 105     | 78      | 66      | 50        | 66      | 105     |
| Swedish Match       | 36      |     689 | 125     | 92      | 60      | 91      | 89      | 92        | 44      | 60      |
| Innovation Kvaerner | 97      |     633 | 110     | 60      | 40      | 65      | 77      | 70        | 33      | 81      |
| Silk Cut            | 84      |     630 | 84      | 40      | 50      | 26 DNF  | 115     | 60        | 101     | 70      |
| Chessie Racing      | 72      |     613 | 60      | 81      | 81      | 105     | 55      | 40        | 89      | 30      |
| Toshiba             | 60      |     528 | 97      | 50      | 92      | 0 DSQ   | 44      | 20 PEN    | 115     | 50      |
| Brunel Sunergy      | 12      |     415 | 24      | 30      | 30      | 119     | 33      | 105       | 22      | 40      |
| EF Education        | 24      |     275 | 36      | 20      | 20      | 26 DNF  | 22      | [MISSING] | 77      | 20      |
| America's Challenge | 0 DNS   |      48 | 0 DNS   | 0 DNS   | 0 DNS   | 0 DNS   | 0 DNS   | 0 DNS     | 0 DNS   | 0 DNS   |



row_idx: 8
col_idx: 8
col_name: Leg 7
label: 30
Task: Data-Imputation (source dataset: WebTable)

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:
| Rank      | Scorer           |   Goals | Team                              |
|:----------|:-----------------|--------:|:----------------------------------|
| 1         | Martin Johnston  |      20 | Elgin City                        |
| 2         | Liam Buchanan    |      17 | Cowdenbeath                       |
| 3         | Colin Cramb      |      16 | Stenhousemuir                     |
| 4         | Paul McGrillen   |      15 | Stenhousemuir                     |
| 5         | Kevin Haynes     |      13 | Berwick Rangers                   |
| 6         | Greig Henslee    |      10 | Montrose                          |
| 7         | Gareth Hutchison |       9 | Berwick Rangers                   |
| [MISSING] | Iain Diack       |       9 | Stenhousemuir/ East Stirlingshire |
| 7         | Jay Stein        |       9 | Arbroath                          |
| 7         | Mark Booth       |       9 | Elgin City                        |
| 7         | David McKenna    |       9 | Cowdenbeath                       |



row_idx: 7
col_idx: 0
col_name: Rank
label: 7
Task: Data-Imputation (source dataset: WebTable)

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:
| Religion         | Nationality   | Unnamed: 2   | Total-Pop.   |
|:-----------------|:--------------|:-------------|:-------------|
| Roman Catholic   | Swiss         | 28%          | 30%          |
| Roman Catholic   | Other         | 35%          | 30%          |
| Unaffiliated     | Swiss         | 25%          | 27%          |
| Unaffiliated     | Other         | 31%          | 27%          |
| Swiss Reformed   | Swiss         | 33%          | 26%          |
| Swiss Reformed   | Other         | 9%           | 26%          |
| Other Christians | Swiss         | 6%           | 7%           |
| Other Christians | Other         | 9%           | [MISSING]    |
| Islamic          | Swiss         | 3%           | 5%           |
| Islamic          | Other         | 9%           | 5%           |
| Other Religion   | Swiss         | 2%           | 2%           |
| Other Religion   | Other         | 4%           | 2%           |
| No answer        | Swiss         | 2%           | 2%           |
| No answer        | Other         | 2%           | 2%           |
| Jewish           | Swiss         | 1%           | 1%           |
| Jewish           | Other         | 1%           | 1%           |



row_idx: 7
col_idx: 3
col_name: Total-Pop.
label: 7%
Task: Data-Imputation (source dataset: WebTable)

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:
| Designer   | 1    | Finale    | 2    | 3         | 4    | 5    | 6    | 7    | 8    | 9    |
|:-----------|:-----|:----------|:-----|:----------|:-----|:-----|:-----|:-----|:-----|:-----|
| Anthony    | HIGH | WINNER    | IN   | HIGH      | WIN  | HIGH | WIN  | HIGH | WIN  | HIGH |
| William    | HIGH | RUNNER UP | WIN  | [MISSING] | HIGH | WIN  | HIGH | LOW  | LOW  | LOW  |
| Lauren     | LOW  | 3RD PLACE | IN   | WIN       | LOW  | LOW  | HIGH | HIGH | HIGH | WIN  |
| Ivana      | IN   | nan       | OUT  | nan       | nan  | nan  | IN   | WIN  | LOW  | OUT  |
| Mark       | WIN  | nan       | HIGH | IN        | HIGH | LOW  | LOW  | LOW  | OUT  | nan  |
| Yopie      | IN   | nan       | HIGH | IN        | LOW  | LOW  | LOW  | OUT  | nan  | nan  |
| Michael    | IN   | nan       | LOW  | LOW       | LOW  | HIGH | OUT  | nan  | nan  | nan  |
| Kellyanne  | IN   | nan       | LOW  | HIGH      | LOW  | OUT  | OUT  | nan  | nan  | nan  |
| Amber      | LOW  | nan       | IN   | IN        | OUT  | nan  | OUT  | nan  | nan  | nan  |
| Ryan       | IN   | nan       | IN   | LOW       | OUT  | nan  | OUT  | nan  | nan  | nan  |
| Claudia    | IN   | nan       | IN   | OUT       | nan  | nan  | OUT  | nan  | nan  | nan  |
| Jason      | OUT  | nan       | nan  | nan       | nan  | nan  | OUT  | nan  | nan  | nan  |



row_idx: 1
col_idx: 4
col_name: 3
label: IN
Task: Data-Imputation (source dataset: WebTable)

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:
|   No. | Position   | Player              | Age   | Moving to                         |   Transfer Window |
|------:|:-----------|:--------------------|:------|:----------------------------------|------------------:|
|     3 | DF         | Abolfazl Hajizadeh  | 22    | Saba Battery - Free Transfer      |               nan |
|     4 | DF         | Tarek Jabban        | 32    | Al-Jaish - Free Transfer          |               nan |
|     5 | [MISSING]  | Robert Caha         | 31    | Shahin Bushehr                    |               nan |
|     7 | MF         | Mohammad Parvin     | 19    | Steel Azin - Free Transfer        |               nan |
|     9 | DF         | Hossein Kaebi       | 22    | Leicester City - Undisclosed Fee  |               nan |
|    11 | FW         | Mehrzad Madanchi    | 23    | Al-Shaab                          |               nan |
|    19 | FW         | Louay Salah Hassan  | 25    | Arbil - Free Transfer             |               nan |
|    20 | MF         | Davoud Seyed Abbasi | 30    | Steel Azin - Free Transfer        |               nan |
|    21 | MF         | Ebrahim Assadi      | 28    | Steel Azin - Free Transfer        |               nan |
|    23 | FW         | Zyad Chaabo         | 29    | Al-Jaish - End of Loan            |               nan |
|    24 | FW         | Dariush Rezaeian    | -     | Nasaji Mazandaran - Free Transfer |               nan |
|    26 | MF         | Nima Ghavidel       | 23    | Nasaji Mazandaran - Free Transfer |               nan |



row_idx: 2
col_idx: 1
col_name: Position
label: DF
Task: Data-Imputation (source dataset: WebTable)

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:
|   Draw | Artist                    | Song                    | Composer - Lyricist                        | Votes     |   Place |
|-------:|:--------------------------|:------------------------|:-------------------------------------------|:----------|--------:|
|      1 | J Anvil                   | "You Too"               | Augusto Cardinali - Giovann Attard         | 4933      |       4 |
|      2 | Anna Belle                | "Amazing"               | Philip Vella - Gerard James Borg           | 2107      |      14 |
|      3 | Ali and Lis               | "Only 'til The Morning" | John David Zammit - Paul Callus            | 3907      |       6 |
|      4 | Lara                      | "Stay With Me"          | Chan Vella - Paul Callus                   | 1637      |      17 |
|      5 | Natasha & Charlene        | "Echoes of Gaia"        | Charlene Grima - Natasha Grima & Deo Grech | 2836      |      10 |
|      6 | Manuel                    | "I Promise You"         | Miriam Christine                           | 3782      |       7 |
|      7 | Fabrizio Faniello         | "I Do"                  | Aldo Spiteri & Fabrizio Faniello           | 7729      |       1 |
|      8 | Eleonor                   | "Tell Me"               | Paul Giordimaina - Fleur Balzan            | 2646      |      11 |
|      9 | Trilogy                   | "This Heart of Mine"    | Paul Abela - Joe Julian Farrugia           | 4954      |       3 |
|     10 | Andreana                  | So Good                 | Alfred Zammit                              | 635       |      18 |
|     11 | Paul Giordimaina & Morena | "Time"                  | Paul Giordimaina - Fleur Balzan            | [MISSING] |       9 |
|     12 | Pamela                    | "Reachin' Out"          | Paul Giordimaina - Fleur Balzan            | 2371      |      13 |
|     13 | Christian Arding          | "Stronger"              | Charlene Grima - Deo Grech                 | 4075      |       5 |
|     14 | Nadine Axisa              | "Waves"                 | Vinny Vella Jr. - Ray Tabone               | 1680      |      16 |
|     15 | Josef & Amanda            | "It Just Comes Natural" | Clinton Paul                               | 1980      |      15 |
|     16 | Kevin Borg                | "You're My Dream"       | Jason P Cassar - Sunny Aquilina            | 3590      |       8 |
|     17 | Claudia Faniello          | "High Alert!"           | Ray Agius - Godwin Sant                    | 2416      |      12 |
|     18 | Olivia Lewis              | "Spare A Moment"        | Ray Agius - Godwin Sant                    | 7623      |       2 |



row_idx: 10
col_idx: 4
col_name: Votes
label: 3046
Task: Data-Imputation (source dataset: WebTable)

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:
| No.   | Color       | Type           | Notes                          |
|:------|:------------|:---------------|:-------------------------------|
| 1A    | Black       | Connector      | nan                            |
| 1B    | Black       | Connector      | nan                            |
| 2A    | Gold        | Connector      | nan                            |
| 2B    | Gold        | Connector      | nan                            |
| 3     | Brown       | Neighborhood   | nan                            |
| 4     | Orange      | Neighborhood   | nan                            |
| 5     | Blue        | Neighborhood   | nan                            |
| 6     | Pink        | Neighborhood   | nan                            |
| 7     | Dark Green  | Neighborhood   | nan                            |
| 8     | Light Green | Neighborhood   | [MISSING]                      |
| 9     | Purple      | Neighborhood   | nan                            |
| 10    | Red         | nan            | Downtown orbiter               |
| 11    | Aqua        | Commuter       | Limited service commuter route |
| 401   | nan         | Tiger Line Day | Hearnes Loop (T1)              |
| 402   | nan         | Tiger Line Day | Trowbridge Loop (T2)           |
| 403   | nan         | Tiger Line Day | Reactor Loop RP10 (T3)         |
| 404   | nan         | nan            | Tiger Diggs Loop (T4)          |



row_idx: 9
col_idx: 3
col_name: Notes
label: nan