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 |
|------------:|----------:|----------:|-----------:|-----------:|-----------:|-----------:|----------:|----------:|----------:|-----------:|----------:|-----------:|-----------:|----------:|----------:|-----------:|-----------:|-----------:|
| 108.332     | 1.47849   | 3.7735    | 5.89834    | 12.3724    | 12.3379    | 11.7683    | 9.93017   | 4.86772   | 4.66109   | 24.8377    | 2.71451   | 13.6918    | 40.4747    | 8.18656   | 12.3336   | 20.9257    | 14.6667    | 11.7447    |
|   0.049015  | 0.0964635 | 0.0759835 | 0.00931619 |  0.0578784 |  0.0162734 |  0.0249624 | 0.0165457 | 0.0889284 | 0.0977805 |  0.0695575 | 0.0367812 |  0.0604188 |  0.0239691 | 0.0473852 |  0.107448 |  0.057891  |  0.0685778 |  0.0709851 |
|   0.0669689 | 0.314656  | 0.0445359 | 0.0279486  |  0.0817088 |  0.0828929 |  0.0459004 | 0.101037  | 0.0115308 | 0.118075  |  0.0606112 | 0.0704721 |  0.0269308 |  0.0804287 | 0.0723929 |  0.099747 |  0.0387077 |  0.0284807 |  0.0397528 |
|  31.9978    | 4.9831    | 2.07077   | 0.245827   |  4.30754   |  0.596602  |  1.8786    | 3.59165   | 0         | 0.774072  |  9.62963   | 1.35725   |  2.5627    | 14.5755    | 2.23822   |  2.7984   |  3.71621   |  5.10877   |  3.56067   |
|   0.220988  | 0.0812981 | 0.114612  | 0.0745358  |  0.223292  |  0.320972  |  0.227737  | 0.378996  | 0.235924  | 0.166942  |  0.293703  | 0.214507  |  0.322373  |  0.173761  | 0.242691  |  0.219083 |  0.285142  |  0.309156  |  0.252977  |

Candidate column headers:
Wholesale and retail trade
Hotels_ catering and leisure
Primary
Transport and communication
Total
10 to 19
Other business_ public administration and defence
Production
Consultancy services
Health
Voluntary and not-for-profit sectors
20 to 49
Education
1
Finance_ insurance and real estate
Construction
3 to 4
2
5 to 9



headers: Wholesale and retail trade
Hotels_ catering and leisure
Primary
Transport and communication
Total
10 to 19
Other business_ public administration and defence
Production
Consultancy services
Health
Voluntary and not-for-profit sectors
20 to 49
Education
1
Finance_ insurance and real estate
Construction
3 to 4
2
5 to 9
label: Total
Primary
Production
Construction
Wholesale and retail trade
Hotels_ catering and leisure
Transport and communication
Finance_ insurance and real estate
Education
Health
Consultancy services
Voluntary and not-for-profit sectors
Other business_ public administration and defence
1
2
3 to 4
5 to 9
10 to 19
20 to 49