Task: Schema-Matching (source dataset: HXD)

Task: 
Please identify the matching columns between Table A and Table B. For each column in Table A, specify the corresponding column in Table B. If a column in A has no corresponding column in Table B, you can map it to null. Represent each column mapping using a pair of column headers in a list, i.e., [Table A Column, Table B column or null]. Provide the mapping for each column in Table A and return all mappings in a list.

No explanation and return the matching columns in a structured JSON format: {"column_mappings": <a list of column pairs>}.

TableA:
| Country                          | Country Code   | Reported Date   | admin_1_code   | admin_1_label   | admin_2_code   | admin_2_label   | date_enquete        |   hh_IDP_presents_36_mois |   ind_IDP_presents_36_mois |   hh_RETs_presents_36mo |   ind_RETs_presents_36mo |
|:---------------------------------|:---------------|:----------------|:---------------|:----------------|:---------------|:----------------|:--------------------|--------------------------:|---------------------------:|------------------------:|-------------------------:|
| Democratic Republic of the Congo | COD            | Aug-31-2022     | COD74          | TANGANYIKA      | COD7410        | NYUNZU          | 2022-07-22 00:00:00 |                         0 |                          0 |                     156 |                      800 |
| Democratic Republic of the Congo | COD            | Aug-31-2022     | COD74          | TANGANYIKA      | COD7409        | KONGOLO         | 2022-07-15 00:00:00 |                        13 |                         79 |                       0 |                        0 |
| Democratic Republic of the Congo | COD            | Aug-31-2022     | COD74          | TANGANYIKA      | COD7407        | KABALO          | 2022-07-18 00:00:00 |                         0 |                          0 |                       0 |                        0 |
| Democratic Republic of the Congo | COD            | Aug-31-2022     | COD74          | TANGANYIKA      | COD7409        | KONGOLO         | 2022-07-19 00:00:00 |                         0 |                          0 |                       0 |                        0 |
| Democratic Republic of the Congo | COD            | Aug-31-2022     | COD74          | TANGANYIKA      | COD7404        | MOBA            | 2022-07-30 00:00:00 |                         0 |                          0 |                       2 |                        7 |
| Democratic Republic of the Congo | COD            | Aug-31-2022     | COD74          | TANGANYIKA      | COD7404        | MOBA            | 2022-07-26 00:00:00 |                         0 |                          0 |                       0 |                        0 |
| Democratic Republic of the Congo | COD            | Aug-31-2022     | COD74          | TANGANYIKA      | COD7404        | MOBA            | 2022-07-26 00:00:00 |                         0 |                          0 |                       0 |                        0 |
| Democratic Republic of the Congo | COD            | Aug-31-2022     | COD74          | TANGANYIKA      | COD7406        | MANONO          | 2022-07-18 00:00:00 |                         0 |                          0 |                       0 |                        0 |
| Democratic Republic of the Congo | COD            | Aug-31-2022     | COD74          | TANGANYIKA      | COD7406        | MANONO          | 2022-07-17 00:00:00 |                         0 |                          0 |                       0 |                        0 |
| Democratic Republic of the Congo | COD            | Aug-31-2022     | COD74          | TANGANYIKA      | COD7410        | NYUNZU          | 2022-07-20 00:00:00 |                         0 |                          0 |                       0 |                        0 |

TableB:
| County                           | Country Code   | Reported Date   | admin_1_code   | admin_1_label   | admin_2_code   | admin_2_label   | date_enquete        |   hh_IDP_presents_36_mois |   ind_IDP_presents_36_mois |   hh_RETs_presents_36mo |   ind_RETs_presents_36mo |
|:---------------------------------|:---------------|:----------------|:---------------|:----------------|:---------------|:----------------|:--------------------|--------------------------:|---------------------------:|------------------------:|-------------------------:|
| Democratic Republic of the Congo | COD            | Jul-31-2022     | COD54          | ITURI           | COD5403        | MAMBASA         | 2022-07-11 00:00:00 |                       121 |                        533 |                      52 |                      390 |
| Democratic Republic of the Congo | COD            | Jul-31-2022     | COD54          | ITURI           | COD5409        | ARU             | 2022-07-09 00:00:00 |                        14 |                         69 |                       0 |                        0 |
| Democratic Republic of the Congo | COD            | Jul-31-2022     | COD54          | ITURI           | COD5402        | IRUMU           | 2022-07-12 00:00:00 |                        13 |                         71 |                       0 |                        0 |
| Democratic Republic of the Congo | COD            | Jul-31-2022     | COD54          | ITURI           | COD5405        | DJUGU           | 2022-07-13 00:00:00 |                       171 |                        809 |                       0 |                        0 |
| Democratic Republic of the Congo | COD            | Jul-31-2022     | COD54          | ITURI           | COD5405        | DJUGU           | 2022-07-22 00:00:00 |                        72 |                        454 |                       0 |                        0 |
| Democratic Republic of the Congo | COD            | Jul-31-2022     | COD54          | ITURI           | COD5402        | IRUMU           | 2022-07-09 00:00:00 |                        63 |                        331 |                       0 |                        0 |
| Democratic Republic of the Congo | COD            | Jul-31-2022     | COD54          | ITURI           | COD5409        | ARU             | 2022-07-10 00:00:00 |                        15 |                         30 |                     807 |                     1108 |
| Democratic Republic of the Congo | COD            | Jul-31-2022     | COD54          | ITURI           | COD5405        | DJUGU           | 2022-07-10 00:00:00 |                         0 |                          0 |                      41 |                      216 |
| Democratic Republic of the Congo | COD            | Jul-31-2022     | COD54          | ITURI           | COD5403        | MAMBASA         | 2022-07-09 00:00:00 |                       141 |                        720 |                     228 |                     1561 |
| Democratic Republic of the Congo | COD            | Jul-31-2022     | COD54          | ITURI           | COD5409        | ARU             | 2022-07-08 00:00:00 |                         9 |                         43 |                       0 |                        0 |



source_headers: Country
Country Code
Reported Date
admin_1_code
admin_1_label
admin_2_code
admin_2_label
date_enquete
hh_IDP_presents_36_mois
ind_IDP_presents_36_mois
hh_RETs_presents_36mo
ind_RETs_presents_36mo
target_headers: County
Country Code
Reported Date
admin_1_code
admin_1_label
admin_2_code
admin_2_label
date_enquete
hh_IDP_presents_36_mois
ind_IDP_presents_36_mois
hh_RETs_presents_36mo
ind_RETs_presents_36mo
column_mappings: Country
County
Country Code
Country Code
Reported Date
Reported Date
admin_1_code
admin_1_code
admin_1_label
admin_1_label
admin_2_code
admin_2_code
admin_2_label
admin_2_label
date_enquete
date_enquete
hh_IDP_presents_36_mois
hh_IDP_presents_36_mois
ind_IDP_presents_36_mois
ind_IDP_presents_36_mois
hh_RETs_presents_36mo
hh_RETs_presents_36mo
ind_RETs_presents_36mo
ind_RETs_presents_36mo
output: {"column_mappings": [["Country", "County"], ["Country Code", "Country Code"], ["Reported Date", "Reported Date"], ["admin_1_code", "admin_1_code"], ["admin_1_label", "admin_1_label"], ["admin_2_code", "admin_2_code"], ["admin_2_label", "admin_2_label"], ["date_enquete", "date_enquete"], ["hh_IDP_presents_36_mois", "hh_IDP_presents_36_mois"], ["ind_IDP_presents_36_mois", "ind_IDP_presents_36_mois"], ["hh_RETs_presents_36mo", "hh_RETs_presents_36mo"], ["ind_RETs_presents_36mo", "ind_RETs_presents_36mo"]]}