Task: header-value-matching (source dataset: TableGPT)

Given the input table data and the list of candidate headers, please determine the most suitable column header for each column in the table. Please only choose column headers from the candidate list. Please only return the most suitable column header for each column. Return the chosen column headers in a list. Do not return the entire table. No explanation and return your answer in JSON format: {"column_headers": "<a list of headers for each column chosen from the candidate list>"}.

Table Data:
|   Col_0 |   Col_1 | Col_2              |            Col_3 |            Col_4 |            Col_5 |            Col_6 |            Col_7 |   Col_8 |   Col_9 |   Col_10 |   Col_11 |   Col_12 |   Col_13 |   Col_14 |   Col_15 |   Col_16 |
|--------:|--------:|:-------------------|-----------------:|-----------------:|-----------------:|-----------------:|-----------------:|--------:|--------:|---------:|---------:|---------:|---------:|---------:|---------:|---------:|
|    3053 |       0 | CITY OF PLYMOUTH   | 205853           |  52906           |  16835.4         |  17941.8         |  18128.9         |       0 |       0 |        0 |        0 |        0 |        0 |        0 |        0 |        0 |
|    4998 |       1 | COUNTY OF BUTTE    |      5.01344e+06 |      1.65242e+06 | 642179           | 509234           | 501010           |       0 |       0 |        0 |        0 |        0 |        0 |        0 |        0 |        0 |
|    1060 |       0 | CITY OF OAKLAND    |      5.01324e+07 |      1.33535e+07 |      4.78099e+06 |      3.98719e+06 |      4.58534e+06 |       0 |       0 |        0 |        0 |        0 |        0 |        0 |        0 |        0 |
|    6047 |       0 | CITY OF COLUSA     |      1.31521e+06 | 449655           | 100608           | 244567           | 104479           |       0 |       0 |        0 |        0 |        0 |        0 |        0 |        0 |        0 |
|    1011 |       0 | CITY OF UNION CITY |      9.64794e+06 |      2.45074e+06 | 808808           | 832531           | 809404           |       0 |       0 |        0 |        0 |        0 |        0 |        0 |        0 |        0 |

Candidate column headers:
DISTRIBUTED November 2018
DISTRIBUTED  May 2019
DISTRIBUTED October 2018
DISTRIBUTED August 2018
Prior Year
DISTRIBUTED March 2019
Year to Date
Jurisdiction
County or City Code
DISTRIBUTED  June 2019
1=County
DISTRIBUTED December 2018
DISTRIBUTED  July 2018
DISTRIBUTED  April 2019
DISTRIBUTED September 2018
DISTRIBUTED February 2019
DISTRIBUTED January 2019



headers: DISTRIBUTED November 2018
DISTRIBUTED  May 2019
DISTRIBUTED October 2018
DISTRIBUTED August 2018
Prior Year
DISTRIBUTED March 2019
Year to Date
Jurisdiction
County or City Code
DISTRIBUTED  June 2019
1=County
DISTRIBUTED December 2018
DISTRIBUTED  July 2018
DISTRIBUTED  April 2019
DISTRIBUTED September 2018
DISTRIBUTED February 2019
DISTRIBUTED January 2019
label: County or City Code
1=County
Jurisdiction
Prior Year
Year to Date
DISTRIBUTED  July 2018
DISTRIBUTED August 2018
DISTRIBUTED September 2018
DISTRIBUTED October 2018
DISTRIBUTED November 2018
DISTRIBUTED December 2018
DISTRIBUTED January 2019
DISTRIBUTED February 2019
DISTRIBUTED March 2019
DISTRIBUTED  April 2019
DISTRIBUTED  May 2019
DISTRIBUTED  June 2019