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 |   Col_17 |   Col_18 |   Col_19 |
|:-------------------|:-----------------------|--------:|--------:|--------:|--------:|--------:|--------:|--------:|--------:|---------:|---------:|---------:|---------:|---------:|---------:|---------:|---------:|---------:|---------:|
| Adventure Works    | Business Acquisition   |   41450 |   41482 |     400 |     390 |   41470 |      32 |   41511 |      40 |    14000 |    40000 |        0 |    11000 |        0 |    20000 |    13650 |    39000 |        0 |    10725 |
| City Power & Light | Bankruptcy             |   41508 |   41549 |     300 |     310 |   41545 |      40 |   41574 |      29 |    10500 |    15000 |        0 |        0 |    27000 |    11250 |    10850 |    15500 |        0 |        0 |
| Lucerne Publishing | Business Incorporation |   41675 |   41746 |     200 |     205 |   41705 |      72 |   41793 |      86 |     7000 |    20000 |        0 |        0 |        0 |    12500 |     7175 |    20500 |        0 |        0 |
| School of Fine Art | Employee Lawsuit       |   41738 |   41758 |     180 |     190 |   41761 |      20 |   41794 |      32 |    12600 |     4500 |    21600 |        0 |        0 |     6750 |    13300 |     4750 |    22800 |        0 |
| Litware_ Inc.      | Bankruptcy             |   41662 |   41705 |     350 |     350 |   41705 |      44 |   41737 |      31 |    12250 |    17500 |        0 |        0 |    31500 |    13125 |    12250 |    17500 |        0 |        0 |

Candidate column headers:
BUSINESS LAWYER
ESTIMATED START
DEFENSE LITIGATOR
ACTUAL WORK
INTELLECTUAL PROPERTY LAWYER 2
ESTIMATED DURATION
GENERAL PARTNER 2
DEFENSE LITIGATOR 2
INTELLECTUAL PROPERTY LAWYER
ACTUAL FINISH
ACTUAL START
BANKRUPTCY LAWYER
ACTUAL DURATION
BUSINESS LAWYER 2
PROJECT TYPE
GENERAL PARTNER
ADMIN STAFF
ESTIMATED WORK
PROJECT NAME
ESTIMATED FINISH



headers: BUSINESS LAWYER
ESTIMATED START
DEFENSE LITIGATOR
ACTUAL WORK
INTELLECTUAL PROPERTY LAWYER 2
ESTIMATED DURATION
GENERAL PARTNER 2
DEFENSE LITIGATOR 2
INTELLECTUAL PROPERTY LAWYER
ACTUAL FINISH
ACTUAL START
BANKRUPTCY LAWYER
ACTUAL DURATION
BUSINESS LAWYER 2
PROJECT TYPE
GENERAL PARTNER
ADMIN STAFF
ESTIMATED WORK
PROJECT NAME
ESTIMATED FINISH
label: PROJECT NAME
PROJECT TYPE
ESTIMATED START
ESTIMATED FINISH
ESTIMATED WORK
ACTUAL WORK
ACTUAL START
ESTIMATED DURATION
ACTUAL FINISH
ACTUAL DURATION
GENERAL PARTNER
BUSINESS LAWYER
DEFENSE LITIGATOR
INTELLECTUAL PROPERTY LAWYER
BANKRUPTCY LAWYER
ADMIN STAFF
GENERAL PARTNER 2
BUSINESS LAWYER 2
DEFENSE LITIGATOR 2
INTELLECTUAL PROPERTY LAWYER 2