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:
| Time      |   Monday |   Tuesday |   Wednesday |   Thursday |   Friday |   Saturday |   Sunday |
|:----------|---------:|----------:|------------:|-----------:|---------:|-----------:|---------:|
| 1 AM      |      nan |       nan |         nan |        nan |      nan |        nan |      nan |
| 2 AM      |      nan |       nan |         nan |        nan |      nan |        nan |      nan |
| 3 AM      |      nan |       nan |         nan |        nan |      nan |        nan |      nan |
| 4 AM      |      nan |       nan |         nan |        nan |      nan |        nan |      nan |
| 5 AM      |      nan |       nan |         nan |        nan |      nan |        nan |      nan |
| 6 AM      |      nan |       nan |         nan |        nan |      nan |        nan |      nan |
| 7 AM      |      nan |       nan |         nan |        nan |      nan |        nan |      nan |
| 8 AM      |      nan |       nan |         nan |        nan |      nan |        nan |      nan |
| 9 AM      |      nan |       nan |         nan |        nan |      nan |        nan |      nan |
| 10 AM     |      nan |       nan |         nan |        nan |      nan |        nan |      nan |
| 11 AM     |      nan |       nan |         nan |        nan |      nan |        nan |      nan |
| 12 PM     |      nan |       nan |         nan |        nan |      nan |        nan |      nan |
| 1 PM      |      nan |       nan |         nan |        nan |      nan |        nan |      nan |
| 2 PM      |      nan |       nan |         nan |        nan |      nan |        nan |      nan |
| 3 PM      |      nan |       nan |         nan |        nan |      nan |        nan |      nan |
| 4 PM      |      nan |       nan |         nan |        nan |      nan |        nan |      nan |
| 5 PM      |      nan |       nan |         nan |        nan |      nan |        nan |      nan |
| [MISSING] |      nan |       nan |         nan |        nan |      nan |        nan |      nan |
| 7 PM      |      nan |       nan |         nan |        nan |      nan |        nan |      nan |
| 8 PM      |      nan |       nan |         nan |        nan |      nan |        nan |      nan |
| 9 PM      |      nan |       nan |         nan |        nan |      nan |        nan |      nan |
| 10 PM     |      nan |       nan |         nan |        nan |      nan |        nan |      nan |
| 11 PM     |      nan |       nan |         nan |        nan |      nan |        nan |      nan |
| 12 AM     |      nan |       nan |         nan |        nan |      nan |        nan |      nan |



row_idx: 17
col_idx: 0
col_name: Time
label: 6 PM
output: value: 6 PM
tablib_key: tables/job=github_000005/batch=002383/hpR3F9xp-0UmFf6Zc8LiSpkakvBL6VlWsUY7FIwNEl4=
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:
| Roll      |   Name |   Purview |   Dice Pool |   Expand |
|:----------|-------:|----------:|------------:|---------:|
| nan       |    nan |       nan |         nan |      nan |
| nan       |    nan |       nan |         nan |      nan |
| nan       |    nan |       nan |         nan |      nan |
| nan       |    nan |       nan |         nan |      nan |
| nan       |    nan |       nan |         nan |      nan |
| [MISSING] |    nan |       nan |         nan |      nan |
| nan       |    nan |       nan |         nan |      nan |
| nan       |    nan |       nan |         nan |      nan |
| nan       |    nan |       nan |         nan |      nan |
| nan       |    nan |       nan |         nan |      nan |
| nan       |    nan |       nan |         nan |      nan |
| nan       |    nan |       nan |         nan |      nan |
| nan       |    nan |       nan |         nan |      nan |
| nan       |    nan |       nan |         nan |      nan |
| nan       |    nan |       nan |         nan |      nan |
| nan       |    nan |       nan |         nan |      nan |
| nan       |    nan |       nan |         nan |      nan |
| nan       |    nan |       nan |         nan |      nan |
| nan       |    nan |       nan |         nan |      nan |
| nan       |    nan |       nan |         nan |      nan |



row_idx: 5
col_idx: 0
col_name: Roll
label: nan
output: value: nan
tablib_key: tables/job=github_000005/batch=002383/pLtGogcfgazXTc8TNULrF2VH6lbP3CnOusBkOhWIGhE=
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:
| Skill Name         |   Unnamed: 1 |   10 |   20 | Roll      |
|:-------------------|-------------:|-----:|-----:|:----------|
| Awareness (Per)    |          nan |  nan |  nan | nan       |
| Barter (Fel)       |          nan |  nan |  nan | nan       |
| Carouse (T)        |          nan |  nan |  nan | nan       |
| Charm (Fel)        |          nan |  nan |  nan | nan       |
| Climb (S)          |          nan |  nan |  nan | nan       |
| Command (Fel)      |          nan |  nan |  nan | nan       |
| Concealment (Ag)   |          nan |  nan |  nan | nan       |
| Contortionist (Ag) |          nan |  nan |  nan | nan       |
| Deceive (Fel)      |          nan |  nan |  nan | nan       |
| Disguise (Fel)     |          nan |  nan |  nan | nan       |
| Dodge (Ag)         |          nan |  nan |  nan | nan       |
| Evaluate (Int)     |          nan |  nan |  nan | nan       |
| Gamble (Int)       |          nan |  nan |  nan | nan       |
| Inquiry (Fel)      |          nan |  nan |  nan | nan       |
| Intimidate (S)     |          nan |  nan |  nan | nan       |
| Logic (Int)        |          nan |  nan |  nan | nan       |
| Scrutiny (Per)     |          nan |  nan |  nan | [MISSING] |
| Search (Per)       |          nan |  nan |  nan | nan       |
| Silent Move (Ag)   |          nan |  nan |  nan | nan       |
| Swim (S)           |          nan |  nan |  nan | nan       |



row_idx: 16
col_idx: 4
col_name: Roll
label: nan
output: value: nan
tablib_key: tables/job=github_000005/batch=002383/fdjEIyTvfrZ_NDKf9IR-FWCxkWb_-cxxTyUISrXcerA=
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:
| Lvl   |   Name |   Area |   Duration | Range     | Class                                            |   Instant |
|:------|-------:|-------:|-----------:|:----------|:-------------------------------------------------|----------:|
| 1)    |    nan |    nan |        nan | nan       | -- Elemental Force Informational Passive Utility |       nan |
| None  |    nan |    nan |        nan | nan       | None                                             |       nan |
| 2)    |    nan |    nan |        nan | nan       | -- Elemental Force Informational Passive Utility |       nan |
| None  |    nan |    nan |        nan | nan       | None                                             |       nan |
| 3)    |    nan |    nan |        nan | [MISSING] | -- Elemental Force Informational Passive Utility |       nan |
| None  |    nan |    nan |        nan | nan       | None                                             |       nan |
| 4)    |    nan |    nan |        nan | nan       | -- Elemental Force Informational Passive Utility |       nan |
| None  |    nan |    nan |        nan | nan       | None                                             |       nan |
| 5)    |    nan |    nan |        nan | nan       | -- Elemental Force Informational Passive Utility |       nan |
| None  |    nan |    nan |        nan | nan       | None                                             |       nan |
| 6)    |    nan |    nan |        nan | nan       | -- Elemental Force Informational Passive Utility |       nan |
| None  |    nan |    nan |        nan | nan       | None                                             |       nan |
| 7)    |    nan |    nan |        nan | nan       | -- Elemental Force Informational Passive Utility |       nan |
| None  |    nan |    nan |        nan | nan       | None                                             |       nan |
| 8)    |    nan |    nan |        nan | nan       | -- Elemental Force Informational Passive Utility |       nan |
| None  |    nan |    nan |        nan | nan       | None                                             |       nan |
| 9)    |    nan |    nan |        nan | nan       | -- Elemental Force Informational Passive Utility |       nan |
| None  |    nan |    nan |        nan | nan       | None                                             |       nan |
| 10)   |    nan |    nan |        nan | nan       | -- Elemental Force Informational Passive Utility |       nan |
| None  |    nan |    nan |        nan | nan       | None                                             |       nan |



row_idx: 4
col_idx: 4
col_name: Range
label: nan
output: value: nan
tablib_key: tables/job=github_000005/batch=002383/SNHFlURxyqPSj5H4rI_8zJPnzC6tAo_Ytb2sFZQhv0I=
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:
| n         |   nominal |     A |     C |   Z |
|:----------|----------:|------:|------:|----:|
| -20       |      10   | -70.4 | -14.3 |   0 |
| -19       |      12.5 | -63.4 | -11.2 |   0 |
| -18       |      16   | -56.7 |  -8.5 |   0 |
| -17       |      20   | -50.5 |  -6.2 |   0 |
| -16       |      25   | -44.7 |  -4.4 |   0 |
| -15       |      31.5 | -39.4 |  -3   |   0 |
| -14       |      40   | -34.6 |  -2   |   0 |
| -13       |      50   | -30.2 |  -1.3 |   0 |
| -12       |      63   | -26.2 |  -0.8 |   0 |
| -11       |      80   | -22.5 |  -0.5 |   0 |
| -10       |     100   | -19.1 |  -0.3 |   0 |
| -9        |     125   | -16.1 |  -0.2 |   0 |
| -8        |     160   | -13.4 |  -0.1 |   0 |
| -7        |     200   | -10.9 |   0   |   0 |
| -6        |     250   |  -8.6 |   0   |   0 |
| -5        |     315   |  -6.6 |   0   |   0 |
| -4        |     400   |  -4.8 |   0   |   0 |
| -3        |     500   |  -3.2 |   0   |   0 |
| -2        |     630   |  -1.9 |   0   |   0 |
| -1        |     800   |  -0.8 |   0   |   0 |
| 0         |    1000   |   0   |   0   |   0 |
| 1         |    1250   |   0.6 |   0   |   0 |
| 2         |    1600   |   1   |  -0.1 |   0 |
| 3         |    2000   |   1.2 |  -0.2 |   0 |
| 4         |    2500   |   1.3 |  -0.3 |   0 |
| 5         |    3150   |   1.2 |  -0.5 |   0 |
| 6         |    4000   |   1   |  -0.8 |   0 |
| [MISSING] |    5000   |   0.5 |  -1.3 |   0 |
| 8         |    6300   |  -0.1 |  -2   |   0 |
| 9         |    8000   |  -1.1 |  -3   |   0 |
| 10        |   10000   |  -2.5 |  -4.4 |   0 |
| 11        |   12500   |  -4.3 |  -6.2 |   0 |
| 12        |   16000   |  -6.6 |  -8.5 |   0 |
| 13        |   20000   |  -9.3 | -11.2 |   0 |



row_idx: 27
col_idx: 0
col_name: n
label: 7
output: value: 7
tablib_key: tables/job=github_000005/batch=002383/3QdsWFN_ULPLMxuYKztoF-1HQa3p2f4Tre0mak-KHaM=
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:
| Skill Name         |   Unnamed: 1 |   10 |   20 |   B |   Roll |
|:-------------------|-------------:|-----:|-----:|----:|-------:|
| [MISSING]          |          nan |  nan |  nan | nan |    nan |
| Barter (Fel)       |          nan |  nan |  nan | nan |    nan |
| Carouse (T)        |          nan |  nan |  nan | nan |    nan |
| Charm (Fel)        |          nan |  nan |  nan | nan |    nan |
| Climb (S)          |          nan |  nan |  nan | nan |    nan |
| Command (Fel)      |          nan |  nan |  nan | nan |    nan |
| Concealment (Ag)   |          nan |  nan |  nan | nan |    nan |
| Contortionist (Ag) |          nan |  nan |  nan | nan |    nan |
| Deceive (Fel)      |          nan |  nan |  nan | nan |    nan |
| Disguise (Fel)     |          nan |  nan |  nan | nan |    nan |
| Dodge (Ag)         |          nan |  nan |  nan | nan |    nan |
| Evaluate (Int)     |          nan |  nan |  nan | nan |    nan |
| Gamble (Int)       |          nan |  nan |  nan | nan |    nan |
| Inquiry (Fel)      |          nan |  nan |  nan | nan |    nan |
| Intimidate (S)     |          nan |  nan |  nan | nan |    nan |
| Logic (Int)        |          nan |  nan |  nan | nan |    nan |
| Scrutiny (Per)     |          nan |  nan |  nan | nan |    nan |
| Search (Per)       |          nan |  nan |  nan | nan |    nan |
| Silent Move (Ag)   |          nan |  nan |  nan | nan |    nan |
| Swim (S)           |          nan |  nan |  nan | nan |    nan |



row_idx: 0
col_idx: 0
col_name: Skill Name
label: Awareness (Per)
output: value: Awareness (Per)
tablib_key: tables/job=github_000005/batch=002383/GWXiUIf9CEtuP0oKwji6OKzyz9A-eDf4mABnRR6KVxY=
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:
| RW 40       | Estimate     |   Std..Error |   t.value |   Pr...t.. |   Unnamed: 5 |
|:------------|:-------------|-------------:|----------:|-----------:|-------------:|
| (Intercept) | -4.140899864 |   25.2076    | -0.164272 | 0.869984   |            1 |
| stocks      | 0.151988563  |    0.0696237 |  2.183    | 0.0323437  |            1 |
| economics   | -0.356908249 |    0.162607  | -2.19491  | 0.0314416  |            1 |
| revenue     | -0.146626772 |    0.0708766 | -2.06876  | 0.0422109  |            1 |
| inflation   | 0.197861758  |    0.0868784 |  2.27746  | 0.0257731  |            1 |
| cancer      | -0.294034097 |    0.0968586 | -3.03571  | 0.00335344 |            1 |
| bonds       | 0.219048651  |    0.0677735 |  3.23207  | 0.00186477 |            1 |
| invest      | 0.405869191  |    0.127911  |  3.17306  | 0.0022297  |            1 |
| happy       | 0.296219936  |    0.0981409 |  3.01831  | 0.00352845 |            1 |
| car         | 0.508093004  |    0.189207  |  2.68539  | 0.00901258 |            1 |
| house       | 0.35749207   |    0.169151  |  2.11344  | 0.0380781  |            1 |
| risk        | 0.311107834  |    0.135314  |  2.29915  | 0.0244418  |            1 |
| leverage    | -0.071557413 |    0.0357682 | -2.00059  | 0.0492618  |            1 |
| success     | -0.271475812 |    0.112878  | -2.40505  | 0.0187795  |            1 |
| economy     | -0.32336665  |    0.141461  | -2.28591  | 0.0252467  |            1 |
| food        | 0.286451696  |    0.117983  |  2.42791  | 0.0177231  |            1 |
| arts        | -0.628551189 |    0.207013  | -3.03629  | 0.00334771 |            1 |
| culture     | [MISSING]    |    0.174002  |  2.44635  | 0.01691    |            1 |
| present     | -0.318916851 |    0.148179  | -2.15224  | 0.0347794  |            1 |
| kitchen     | -0.400498706 |    0.174342  | -2.2972   | 0.0245588  |            1 |



row_idx: 17
col_idx: 1
col_name: Estimate
label: 0.425670233
output: value: 0.425670233
tablib_key: tables/job=github_000005/batch=002383/OYkAPJflwuctlriblHamduYe8S904XDvkekP80TGS5k=
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:
| G 192        |   Estimate |   Std..Error | t.value      |    Pr...t.. |   Unnamed: 5 |
|:-------------|-----------:|-------------:|:-------------|------------:|-------------:|
| (Intercept)  | -33.4403   |   37.8363    | -0.883814844 | 0.379779    |            1 |
| restaurant   |  -0.532336 |    0.255719  | -2.081723975 | 0.0409738   |            1 |
| dowjones     |  -0.545225 |    0.193785  | -2.813553173 | 0.00633355  |            1 |
| unemployment |  -0.282602 |    0.101363  | -2.788014874 | 0.00680045  |            1 |
| marriage     |  -0.209994 |    0.0866905 | [MISSING]    | 0.0179754   |            1 |
| society      |  -0.56072  |    0.273804  | -2.047885354 | 0.0442712   |            1 |
| stockmarket  |   0.629277 |    0.236181  | 2.664380814  | 0.00953941  |            1 |
| office       |   0.564802 |    0.226258  | 2.49627383   | 0.014874    |            1 |
| happy        |   0.3047   |    0.147308  | 2.068449951  | 0.0422411   |            1 |
| profit       |  -0.343602 |    0.164596  | -2.08754996  | 0.0404281   |            1 |
| car          |   0.588497 |    0.283997  | 2.072198664  | 0.0418798   |            1 |
| fed          |   0.279502 |    0.137659  | 2.030393855  | 0.0460636   |            1 |
| holiday      |   0.35836  |    0.177067  | 2.023863947  | 0.0467485   |            1 |
| nasdaq       |  -0.184838 |    0.0905836 | -2.040523919 | 0.0450181   |            1 |
| oil          |   0.368614 |    0.089674  | 4.110599564  | 0.000104531 |            1 |
| economy      |  -0.577204 |    0.21233   | -2.718423536 | 0.00823754  |            1 |
| gains        |   0.35607  |    0.107464  | 3.313405764  | 0.0014528   |            1 |
| nyse         |  -0.391953 |    0.184675  | -2.122398176 | 0.0372935   |            1 |
| culture      |   1.10012  |    0.261175  | 4.212200512  | 7.31e-05    |            1 |
| present      |  -0.583396 |    0.222415  | -2.623004753 | 0.0106599   |            1 |
| energy       |   0.473191 |    0.209023  | 2.263822313  | 0.0266421   |            1 |
| fun          |   0.378534 |    0.176074  | 2.14986138   | 0.0349741   |            1 |



row_idx: 4
col_idx: 3
col_name: t.value
label: -2.422339448
output: value: -2.422339448
tablib_key: tables/job=github_000005/batch=002383/ebEJo6UNmolJbGr6OToadfHCoSfReTYkKpHYUtNu3Rk=
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:
| Y 133        |   Estimate |   Std..Error |   t.value |    Pr...t.. |   Unnamed: 5 |
|:-------------|-----------:|-------------:|----------:|------------:|-------------:|
| (Intercept)  | -5.54138   |   12.0157    | -0.461179 | 0.64608     |            1 |
| restaurant   | -0.195549  |    0.0812087 | -2.40798  | 0.0186409   |            1 |
| housing      | -0.243145  |    0.06428   | -3.78259  | 0.000320826 |            1 |
| revenue      | -0.102808  |    0.0337847 | -3.04303  | 0.00328214  |            1 |
| inflation    |  0.104236  |    0.0414122 |  2.51702  | 0.0140948   |            1 |
| growth       |  0.242553  |    0.0938549 |  2.58434  | 0.0118137   |            1 |
| hedge        | -0.121609  |    0.0372544 | -3.26429  | 0.00168992  |            1 |
| money        | -0.233878  |    0.0757006 | -3.08952  | 0.00286174  |            1 |
| society      |  0.221842  |    0.0869521 |  2.55131  | 0.0128875   |            1 |
| bonds        |  0.154142  |    0.0323055 |  4.77138  | 9.49e-06    |            1 |
| invest       |  0.123929  |    0.0609712 |  2.03259  | 0.0458354   |            1 |
| [MISSING]    |  0.340813  |    0.0988628 |  3.44734  | 0.000955372 |            1 |
| finance      | -0.15481   |    0.0773269 | -2.00202  | 0.0491034   |            1 |
| nasdaq       | -0.0733794 |    0.0287667 | -2.55085  | 0.0129031   |            1 |
| gold         |  0.136559  |    0.0454289 |  3.00599  | 0.00365756  |            1 |
| gain         |  0.115292  |    0.0464486 |  2.48213  | 0.0154272   |            1 |
| earnings     |  0.0453001 |    0.0200515 |  2.25919  | 0.026943    |            1 |
| food         |  0.200011  |    0.0562388 |  3.55646  | 0.000674093 |            1 |
| tourism      | -0.184237  |    0.0730093 | -2.52347  | 0.0138603   |            1 |
| shortselling |  0.0874245 |    0.0419537 |  2.08383  | 0.0407758   |            1 |
| transaction  |  0.14557   |    0.0490365 |  2.96861  | 0.00407648  |            1 |



row_idx: 11
col_idx: 0
col_name: Y 133 
label: sell
output: value: sell
tablib_key: tables/job=github_000005/batch=002383/7se25Wx9yFMNTHttzmapIi0n1c0xfeCgBKgMCy0MCx0=
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:
| X 103       | Estimate     |   Std..Error |   t.value |    Pr...t.. |   Unnamed: 5 |
|:------------|:-------------|-------------:|----------:|------------:|-------------:|
| (Intercept) | 20.04264493  |   21.3087    |  0.940584 | 0.350107    |            1 |
| stocks      | 0.148325889  |    0.0588549 |  2.5202   | 0.0139789   |            1 |
| revenue     | -0.15326306  |    0.059914  | -2.55805  | 0.0126614   |            1 |
| cancer      | [MISSING]    |    0.0818773 | -3.49304  | 0.000826187 |            1 |
| marriage    | 0.106221742  |    0.0488225 |  2.17567  | 0.03291     |            1 |
| headlines   | 0.108236282  |    0.0409145 |  2.64543  | 0.0100387   |            1 |
| invest      | 0.475379265  |    0.108127  |  4.3965   | 3.78e-05    |            1 |
| sell        | 0.401562422  |    0.175324  |  2.2904   | 0.0249712   |            1 |
| banking     | 0.153966177  |    0.0682652 |  2.25541  | 0.027191    |            1 |
| finance     | -0.396650548 |    0.137132  | -2.89247  | 0.00507065  |            1 |
| fed         | 0.197354421  |    0.0775271 |  2.54562  | 0.0130811   |            1 |
| risk        | 0.28464805   |    0.114385  |  2.48851  | 0.0151754   |            1 |
| success     | -0.358006205 |    0.0954186 | -3.75195  | 0.000355318 |            1 |
| war         | -0.179058649 |    0.0728598 | -2.45758  | 0.0164314   |            1 |
| oil         | 0.134735279  |    0.0505027 |  2.66788  | 0.00944975  |            1 |
| gain        | 0.172242382  |    0.0823724 |  2.09102  | 0.0401059   |            1 |
| movie       | -0.196488305 |    0.0981371 | -2.00218  | 0.049086    |            1 |
| food        | 0.393768648  |    0.0997343 |  3.94818  | 0.000183297 |            1 |
| fond        | -0.238885739 |    0.079035  | -3.02253  | 0.00348524  |            1 |
| kitchen     | -0.358038098 |    0.147376  | -2.42942  | 0.0176553   |            1 |



row_idx: 3
col_idx: 1
col_name: Estimate
label: -0.286000666
output: value: -0.286000666
tablib_key: tables/job=github_000005/batch=002383/Xnrw-HA7VosETzXtdgQTGnnBYMTFDSzoupKzksAwb7s=
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:
| Skill      |   Base | +   |   Points | +.1   |   Temp | =         |   % |
|:-----------|-------:|:----|---------:|:------|-------:|:----------|----:|
| Athletics  |    nan | +   |      nan | +     |    nan | =         | nan |
| Boating    |    nan | +   |      nan | +     |    nan | =         | nan |
| Brawn      |    nan | +   |      nan | +     |    nan | =         | nan |
| Conceal    |    nan | +   |      nan | +     |    nan | =         | nan |
| Customs    |    nan | +   |      nan | +     |    nan | =         | nan |
| Dance      |    nan | +   |      nan | +     |    nan | =         | nan |
| Deceit     |    nan | +   |      nan | +     |    nan | =         | nan |
| Drive      |    nan | +   |      nan | +     |    nan | =         | nan |
| Endurance  |    nan | +   |      nan | +     |    nan | =         | nan |
| Evade      |    nan | +   |      nan | +     |    nan | =         | nan |
| First Aid  |    nan | +   |      nan | +     |    nan | [MISSING] | nan |
| Influence  |    nan | +   |      nan | +     |    nan | =         | nan |
| Insight    |    nan | +   |      nan | +     |    nan | =         | nan |
| Locale     |    nan | +   |      nan | +     |    nan | =         | nan |
| Perception |    nan | +   |      nan | +     |    nan | =         | nan |
| Ride       |    nan | +   |      nan | +     |    nan | =         | nan |
| Sing       |    nan | +   |      nan | +     |    nan | =         | nan |
| Stealth    |    nan | +   |      nan | +     |    nan | =         | nan |
| Swim       |    nan | +   |      nan | +     |    nan | =         | nan |
| Unarmed    |    nan | +   |      nan | +     |    nan | =         | nan |
| Willpower  |    nan | +   |      nan | +     |    nan | =         | nan |



row_idx: 10
col_idx: 6
col_name: =
label: =
output: value: =
tablib_key: tables/job=github_000005/batch=002383/9q5Njb7ZyUln8Asb4Y_ihdHFVRED0kmnCOKG6YC7OmU=
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:
| P 173        |   Estimate |   Std..Error |   t.value | Pr...t..    |   Unnamed: 5 |
|:-------------|-----------:|-------------:|----------:|:------------|-------------:|
| (Intercept)  |  93.5657   |   47.4172    |   1.97324 | 0.068544383 |            1 |
| housing      |  -0.648987 |    0.261966  |  -2.47737 | 0.026603447 |            1 |
| credit       |   1.34566  |    0.369137  |   3.64543 | 0.002648748 |            1 |
| investment   |   1.06488  |    0.360241  |   2.95602 | 0.010421025 |            1 |
| bonds        |   0.297928 |    0.0990799 |   3.00695 | 0.00942083  |            1 |
| happy        |  -0.723502 |    0.225491  |  -3.20856 | 0.006312104 |            1 |
| ore          |   0.428689 |    0.114636  |   3.73958 | 0.002198239 |            1 |
| profit       |  -0.698114 |    0.279408  |  -2.49854 | 0.025538502 |            1 |
| water        |  -0.720839 |    0.312119  |  -2.3095  | 0.036683045 |            1 |
| returns      |   0.236285 |    0.0924442 |   2.55598 | 0.022850987 |            1 |
| gold         |  -0.541949 |    0.229648  |  -2.35991 | 0.033327488 |            1 |
| oil          |   0.337715 |    0.107268  |   3.14833 | 0.007115272 |            1 |
| earnings     |   0.456518 |    0.0895037 |   5.10055 | [MISSING]   |            1 |
| health       |   0.541044 |    0.213977  |   2.52852 | 0.024100032 |            1 |
| bubble       |   0.390475 |    0.158746  |   2.45975 | 0.027522387 |            1 |
| trader       |  -0.599623 |    0.205586  |  -2.91666 | 0.011264946 |            1 |
| freedom      |  -0.4411   |    0.160435  |  -2.7494  | 0.015663491 |            1 |
| crash        |   0.448941 |    0.112623  |   3.98624 | 0.001352058 |            1 |
| shortselling |   0.290315 |    0.115565  |   2.51213 | 0.024876589 |            1 |
| consume      |  -0.563351 |    0.167987  |  -3.35355 | 0.004730463 |            1 |
| garden       |   0.823023 |    0.210123  |   3.91686 | 0.001549475 |            1 |
| forex        |   0.435198 |    0.117937  |   3.6901  | 0.002424369 |            1 |



row_idx: 12
col_idx: 4
col_name: Pr...t..
label: 0.000161532
output: value: 0.000161532
tablib_key: tables/job=github_000005/batch=002383/0kXfGs1at8PBLZwo9listhOQCJ4vhgk08Qr6ID7m7SM=
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:
| JG 21            |   Estimate |   Std..Error |   t.value |   Pr...t.. |   Unnamed: 5 |
|:-----------------|-----------:|-------------:|----------:|-----------:|-------------:|
| (Intercept)      | 60.077     |   14.4109    |   4.16884 | 8.52e-05   |            1 |
| stocks           |  0.0908357 |    0.0398031 |   2.28213 | 0.0254813  |            1 |
| economics        | -0.209589  |    0.0929609 |  -2.2546  | 0.0272446  |            1 |
| housing          | -0.21781   |    0.0770938 |  -2.82526 | 0.0061295  |            1 |
| cancer           | -0.165629  |    0.055373  |  -2.99115 | 0.00381885 |            1 |
| marriage         |  0.0851872 |    0.0330183 |   2.58    | 0.0119499  |            1 |
| bonds            |  0.105677  |    0.0387454 |   2.72748 | 0.00803594 |            1 |
| invest           |  0.318892  |    0.0731253 |   4.36089 | 4.3e-05    |            1 |
| finance          | -0.230474  |    0.0927414 |  -2.48512 | 0.0153087  |            1 |
| car              |  0.294693  |    0.108167  |   2.72441 | 0.00810374 |            1 |
| chance           |  0.0743253 |    0.0298883 |   2.48677 | 0.0152438  |            1 |
| leverage         | -0.0469458 |    0.0204483 |  -2.29583 | 0.0246418  |            1 |
| success          | -0.161296  |    0.0645309 |  -2.49951 | 0.0147499  |            1 |
| oil              |  0.0728997 |    0.0341546 |   2.1344  | 0.0362638  |            1 |
| gain             |  0.119343  |    0.0557078 |   2.1423  | 0.0355998  |            1 |
| movie            | -0.179963  |    0.0663694 |  -2.71154 | 0.00839384 |            1 |
| food             |  0.165235  |    0.0674496 |   2.44975 | 0.0167638  |            1 |
| culture          |  0.305367  |    0.0994752 |   3.06978 | 0.00303374 |            1 |
| financialmarkets |  0.139688  |    0.0420211 |   3.32423 | 0.00140494 |            1 |
| trader           | -0.125979  |    0.0543955 |  -2.31599 | 0.0234509  |            1 |
| [MISSING]        | -0.110907  |    0.0534508 |  -2.07494 | 0.0416169  |            1 |
| kitchen          | -0.209122  |    0.0996694 |  -2.09816 | 0.0394506  |            1 |
| dividend         |  0.0987109 |    0.0456215 |   2.16369 | 0.0338544  |            1 |
| shortselling     | -0.125448  |    0.0503169 |  -2.49316 | 0.0149944  |            1 |
| fun              | -0.187534  |    0.0670622 |  -2.79642 | 0.00664346 |            1 |



row_idx: 20
col_idx: 0
col_name: JG 21 
label: fond
output: value: fond
tablib_key: tables/job=github_000005/batch=002383/0HZbce-pXqARFAm22Rmjd-iRJ7xcepDPs6ncxvbHg4Y=
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:
| Y 426        | Estimate     |   Std..Error |   t.value |    Pr...t.. |   Unnamed: 5 |
|:-------------|:-------------|-------------:|----------:|------------:|-------------:|
| (Intercept)  | -35.6005017  |   28.6955    |  -1.24063 | 0.218827    |            1 |
| portfolio    | -0.313442805 |    0.155183  |  -2.01983 | 0.0471764   |            1 |
| unemployment | -0.323152892 |    0.0768751 |  -4.20361 | 7.54e-05    |            1 |
| investment   | 0.996284403  |    0.312923  |   3.1838  | 0.00215863  |            1 |
| office       | 0.350764765  |    0.171597  |   2.04412 | 0.0446518   |            1 |
| happy        | 0.290173673  |    0.11172   |   2.59732 | 0.0114142   |            1 |
| banking      | 0.187778427  |    0.0919298 |   2.04263 | 0.0448035   |            1 |
| profit       | -0.548492647 |    0.124831  |  -4.39387 | 3.82e-05    |            1 |
| house        | -0.566106303 |    0.192556  |  -2.93995 | 0.00442735  |            1 |
| risk         | -0.399149524 |    0.154037  |  -2.59125 | 0.0115993   |            1 |
| oil          | 0.223373991  |    0.0680099 |   3.28444 | 0.00158858  |            1 |
| gain         | 0.346544167  |    0.110927  |   3.12407 | 0.0025824   |            1 |
| default      | 0.38332493   |    0.113521  |   3.37669 | 0.00119326  |            1 |
| gains        | 0.172025789  |    0.0815017 |   2.1107  | 0.0383211   |            1 |
| culture      | 0.523457408  |    0.198078  |   2.64268 | 0.010113    |            1 |
| present      | -0.481865524 |    0.168682  |  -2.85665 | 0.005612    |            1 |
| bubble       | [MISSING]    |    0.0951232 |   3.48486 | 0.000848031 |            1 |
| politics     | 0.207502268  |    0.0781218 |   2.65614 | 0.00975364  |            1 |
| energy       | 0.439580403  |    0.158526  |   2.77293 | 0.00709086  |            1 |
| consumption  | 0.270502643  |    0.0900737 |   3.00313 | 0.00368819  |            1 |
| garden       | 0.322631047  |    0.159009  |   2.02902 | 0.0462072   |            1 |
| forex        | 0.229066591  |    0.0862519 |   2.65578 | 0.00976296  |            1 |



row_idx: 16
col_idx: 1
col_name: Estimate
label: 0.331490597
output: value: 0.331490597
tablib_key: tables/job=github_000005/batch=002383/kQwNR-0y7vdD3Oav0hfbInrchIDcy2zWOwurJGvLaAs=
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:
| N 351       |   Estimate |   Std..Error |   t.value |    Pr...t.. | Unnamed: 5   |
|:------------|-----------:|-------------:|----------:|------------:|:-------------|
| (Intercept) |   5.08753  |   42.5647    |  0.119525 | 0.905197    | 1            |
| stocks      |   0.27957  |    0.117564  |  2.37802  | 0.0201007   | 1            |
| economics   |  -0.984552 |    0.274573  | -3.58576  | 0.000613179 | 1            |
| housing     |  -0.580769 |    0.227707  | -2.55051  | 0.0129146   | 1            |
| credit      |   0.621573 |    0.301279  |  2.06311  | 0.0427599   | [MISSING]    |
| hedge       |   0.331239 |    0.131971  |  2.50994  | 0.0143566   | 1            |
| office      |   0.546563 |    0.254533  |  2.14731  | 0.0351838   | 1            |
| invest      |   0.704507 |    0.215986  |  3.26182  | 0.00170277  | 1            |
| happy       |   0.331345 |    0.165717  |  1.99946  | 0.049386    | 1            |
| finance     |  -0.566921 |    0.273925  | -2.06962  | 0.0421277   | 1            |
| car         |   0.696884 |    0.319487  |  2.18126  | 0.0324777   | 1            |
| fed         |   0.324159 |    0.154862  |  2.09321  | 0.0399041   | 1            |
| risk        |   0.698305 |    0.228487  |  3.05622  | 0.00315743  | 1            |
| success     |  -0.679197 |    0.190601  | -3.56345  | 0.000659062 | 1            |
| oil         |   0.262924 |    0.10088   |  2.60629  | 0.0111455   | 1            |
| food        |   0.635473 |    0.199222  |  3.18978  | 0.00212004  | 1            |
| culture     |   0.658817 |    0.293814  |  2.24229  | 0.028067    | 1            |
| crash       |  -0.178483 |    0.0772617 | -2.31011  | 0.023793    | 1            |
| consume     |   0.330733 |    0.164757  |  2.0074   | 0.0485145   | 1            |
| fun         |  -0.557889 |    0.198078  | -2.81652  | 0.00628134  | 1            |



row_idx: 4
col_idx: 5
col_name: Unnamed: 5
label: 1
output: value: 1
tablib_key: tables/job=github_000005/batch=002383/NPrdjbO0CjCN1xDkGKLBOfriv4OdZ8psanrEOTjQW1I=
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:
| W 355       |    Estimate |   Std..Error |   t.value |    Pr...t.. |   Unnamed: 5 |
|:------------|------------:|-------------:|----------:|------------:|-------------:|
| (Intercept) | -11.2379    |   14.4147    | -0.779611 | 0.438211    |            1 |
| [MISSING]   |   0.107193  |    0.0398136 |  2.69237  | 0.00884342  |            1 |
| restaurant  |  -0.202292  |    0.0974227 | -2.07644  | 0.0414743   |            1 |
| economics   |  -0.238576  |    0.0929854 | -2.56573  | 0.0124081   |            1 |
| office      |   0.193997  |    0.0861989 |  2.25058  | 0.0275112   |            1 |
| invest      |   0.339403  |    0.0731446 |  4.64016  | 1.55e-05    |            1 |
| loss        |  -0.162859  |    0.0671908 | -2.42383  | 0.0179076   |            1 |
| finance     |  -0.197849  |    0.0927659 | -2.13278  | 0.0364018   |            1 |
| car         |   0.242121  |    0.108196  |  2.2378   | 0.0283728   |            1 |
| nasdaq      |   0.0742722 |    0.0345102 |  2.15218  | 0.0347841   |            1 |
| chance      |   0.0799787 |    0.0298962 |  2.67521  | 0.00926441  |            1 |
| success     |  -0.232373  |    0.0645479 | -3.60001  | 0.000585481 |            1 |
| economy     |  -0.164954  |    0.0808928 | -2.03917  | 0.0451568   |            1 |
| culture     |   0.237422  |    0.0995014 |  2.38611  | 0.0196967   |            1 |
| energy      |   0.227152  |    0.0796327 |  2.85249  | 0.00567814  |            1 |
| buy         |  -0.188267  |    0.0684826 | -2.74913  | 0.00757235  |            1 |
| freedom     |   0.132427  |    0.0535274 |  2.474    | 0.0157533   |            1 |
| fond        |  -0.119694  |    0.0534649 | -2.23875  | 0.028308    |            1 |
| consume     |   0.11232   |    0.0557958 |  2.01305  | 0.0479019   |            1 |
| home        |   0.265983  |    0.10561   |  2.51853  | 0.0140397   |            1 |



row_idx: 1
col_idx: 0
col_name: W 355 
label: stocks
output: value: stocks
tablib_key: tables/job=github_000005/batch=002383/xRZkQKG2yHp5sBa389WpEjUHeHiEq-dD2cc9bEVjwPk=
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:
| H 433       |   Estimate |   Std..Error |   t.value |    Pr...t.. |   Unnamed: 5 |
|:------------|-----------:|-------------:|----------:|------------:|-------------:|
| (Intercept) | 109.012    |   46.6621    |   2.33621 | 0.0226245   |            1 |
| restaurant  |  -0.825439 |    0.306966  |  -2.68903 | 0.0091264   |            1 |
| inflation   |  -0.315757 |    0.15657   |  -2.01671 | 0.047926    |            1 |
| growth      |   0.903559 |    0.368814  |   2.44991 | 0.0170353   |            1 |
| hedge       |   0.590528 |    0.152288  |   3.87772 | 0.000251274 |            1 |
| cancer      |   0.498483 |    0.18472   |   2.69858 | 0.00889482  |            1 |
| investment  |  -1.26431  |    0.512826  |  -2.46538 | 0.0163791   |            1 |
| marriage    |  -0.212647 |    0.103137  |  -2.06179 | 0.0432933   |            1 |
| bonds       |  -0.307335 |    0.127091  |  -2.41822 | 0.0184528   |            1 |
| invest      |   1.11835  |    0.293281  |   3.81325 | 0.000311014 |            1 |
| fine        |   0.597972 |    0.246658  |   2.4243  | 0.0181731   |            1 |
| house       |   0.850455 |    0.32709   |   2.60006 | 0.011561    |            1 |
| crisis      |   0.455482 |    0.160886  |   2.83109 | 0.00619286  |            1 |
| [MISSING]   |   0.884335 |    0.398066  |   2.22158 | 0.0298554   |            1 |
| leverage    |   0.133466 |    0.0648138 |   2.05922 | 0.0435474   |            1 |
| returns     |  -0.199507 |    0.0958999 |  -2.08037 | 0.0415001   |            1 |
| earnings    |  -0.230881 |    0.077337  |  -2.98539 | 0.00400855  |            1 |
| nyse        |  -0.477187 |    0.220901  |  -2.16018 | 0.0345097   |            1 |
| energy      |  -0.531326 |    0.257669  |  -2.06205 | 0.0432684   |            1 |
| buy         |  -0.594625 |    0.22594   |  -2.63179 | 0.0106322   |            1 |
| consumption |   0.37996  |    0.143409  |   2.64948 | 0.0101441   |            1 |
| home        |   1.08273  |    0.365861  |   2.95941 | 0.00431735  |            1 |
| forex       |  -0.387377 |    0.139818  |  -2.77058 | 0.00731607  |            1 |
| fun         |  -0.580527 |    0.21996   |  -2.63924 | 0.010424    |            1 |



row_idx: 13
col_idx: 0
col_name: H 433 
label: travel
output: value: travel
tablib_key: tables/job=github_000005/batch=002383/Hp3Lw1OrC1ZpY202tDB8ig41InJO1EpFINiGqcy8bXs=
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:
| K 252        |   Estimate | Std..Error   |   t.value |    Pr...t.. |   Unnamed: 5 |
|:-------------|-----------:|:-------------|----------:|------------:|-------------:|
| (Intercept)  |  -8.17452  | 23.34249738  | -0.350199 | 0.727226    |            1 |
| revenue      |  -0.137117 | 0.065632342  | -2.08917  | 0.0402779   |            1 |
| dowjones     |  -0.462212 | 0.119552631  | -3.86618  | 0.000242252 |            1 |
| unemployment |  -0.137765 | 0.062534362  | -2.20302  | 0.0308397   |            1 |
| stockmarket  |   0.378175 | 0.145708181  |  2.59543  | 0.0114717   |            1 |
| bonds        |   0.186868 | 0.0627589    |  2.97755  | 0.00397245  |            1 |
| office       |   0.518173 | [MISSING]    |  3.71221  | 0.000405362 |            1 |
| invest       |   0.268825 | 0.118446709  |  2.26959  | 0.0262716   |            1 |
| cash         |   0.124299 | 0.054033577  |  2.3004   | 0.0243673   |            1 |
| loss         |  -0.268511 | 0.108805387  | -2.46781  | 0.016006    |            1 |
| fed          |   0.192567 | 0.084926465  |  2.26746  | 0.0264079   |            1 |
| war          |  -0.160364 | 0.079813697  | -2.00923  | 0.0483156   |            1 |
| gain         |   0.237961 | 0.090234212  |  2.63714  | 0.0102642   |            1 |
| nyse         |  -0.227464 | 0.113931899  | -1.99649  | 0.0497155   |            1 |
| tourism      |  -0.284525 | 0.141832734  | -2.00606  | 0.0486609   |            1 |
| present      |  -0.305013 | 0.137215209  | -2.22288  | 0.029409    |            1 |
| greed        |  -0.120206 | 0.056406371  | -2.13107  | 0.0365475   |            1 |
| garden       |   0.316587 | 0.129346093  |  2.44759  | 0.0168564   |            1 |
| transaction  |  -0.210568 | 0.095261664  | -2.21042  | 0.0303      |            1 |
| fun          |   0.271765 | 0.108625774  |  2.50184  | 0.0146611   |            1 |



row_idx: 6
col_idx: 2
col_name: Std..Error
label: 0.139586125
output: value: 0.139586125
tablib_key: tables/job=github_000005/batch=002383/zwaoSEBtBR8ZfeIMlqV2thD2uzi2ei3Z_DY-obnQfqY=
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:
| D 168        |   Estimate |   Std..Error |   t.value | Pr...t..    |   Unnamed: 5 |
|:-------------|-----------:|-------------:|----------:|:------------|-------------:|
| (Intercept)  | -65.4784   |    52.773    |  -1.24076 | 0.218779778 |            1 |
| stocks       |   0.388934 |     0.145759 |   2.66833 | 0.009438197 |            1 |
| economics    |  -0.695501 |     0.340423 |  -2.04305 | 0.044760847 |            1 |
| revenue      |  -0.473461 |     0.148382 |  -3.19082 | 0.002113397 |            1 |
| unemployment |  -0.312404 |     0.141378 |  -2.2097  | 0.030351745 |            1 |
| headlines    |   0.205709 |     0.101328 |   2.03012 | 0.046092268 |            1 |
| office       |   0.816095 |     0.315578 |   2.58603 | 0.011760771 |            1 |
| invest       |   0.92492  |     0.267786 |   3.45396 | 0.000935538 |            1 |
| loss         |  -0.532672 |     0.245988 |  -2.16543 | 0.033715629 |            1 |
| happy        |   0.545045 |     0.205461 |   2.65279 | 0.009841902 |            1 |
| finance      |  -1.3827   |     0.33962  |  -4.07132 | 0.000119869 |            1 |
| car          |   0.970902 |     0.39611  |   2.45109 | 0.016706352 |            1 |
| fed          |   0.452763 |     0.192003 |   2.35811 | 0.021126595 |            1 |
| risk         |   0.665575 |     0.283284 |   2.34949 | 0.02158446  |            1 |
| nasdaq       |   0.262232 |     0.126343 |   2.07556 | 0.041558515 |            1 |
| success      |  -1.04906  |     0.236313 |  -4.4393  | 3.24e-05    |            1 |
| war          |  -0.408205 |     0.180444 |  -2.26223 | 0.026745339 |            1 |
| oil          |   0.382029 |     0.125075 |   3.05441 | 0.00317428  |            1 |
| food         |   0.950447 |     0.247001 |   3.84795 | 0.00025763  |            1 |
| kitchen      |  -0.753793 |     0.36499  |  -2.06524 | 0.042552264 |            1 |
| consume      |   0.427492 |     0.204271 |   2.09277 | [MISSING]   |            1 |



row_idx: 20
col_idx: 4
col_name: Pr...t..
label: 0.039944207
output: value: 0.039944207
tablib_key: tables/job=github_000005/batch=002383/6Dz3q2tZfE3t_YjCI9h7_98uuBxLP4nBfDCqqOK5DL8=