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:
| Reported Date       | Country Name                     | Country Code   | admin_1_code   | admin_1_label   | admin_2_code   | admin_2_label   | admin_3_code   | admin_3_label   | date_enquete        |   hh_IDP_presents_36_mois |   ind_IDP_presents_36_mois |   hh_RETs_presents_36mo |   ind_RETs_presents_36mo |
|:--------------------|:---------------------------------|:---------------|:---------------|:----------------|:---------------|:----------------|:---------------|:----------------|:--------------------|--------------------------:|---------------------------:|------------------------:|-------------------------:|
| 2021-09-30 00:00:00 | Democratic Republic of the Congo | COD            | COD74          | TANGANYIKA      | COD7404        | MOBA            | COD7404ZS02    | MOBA            | 2021-08-16 00:00:00 |                        25 |                         94 |                       0 |                        0 |
| 2021-09-30 00:00:00 | Democratic Republic of the Congo | COD            | COD74          | TANGANYIKA      | COD7404        | MOBA            | COD7404ZS02    | MOBA            | 2021-08-15 00:00:00 |                         0 |                          0 |                       0 |                        0 |
| 2021-09-30 00:00:00 | Democratic Republic of the Congo | COD            | COD74          | TANGANYIKA      | COD7407        | KABALO          | COD7407ZS01    | KABALO          | 2021-08-11 00:00:00 |                         4 |                         19 |                       5 |                       23 |
| 2021-09-30 00:00:00 | Democratic Republic of the Congo | COD            | COD74          | TANGANYIKA      | COD7409        | KONGOLO         | COD7409ZS01    | KONGOLO         | 2021-08-06 00:00:00 |                         5 |                         23 |                       0 |                        0 |
| 2021-09-30 00:00:00 | Democratic Republic of the Congo | COD            | COD74          | TANGANYIKA      | COD7402        | KALEMIE         | COD7402ZS02    | NYEMBA          | 2021-08-05 00:00:00 |                        66 |                        212 |                      20 |                      102 |
| 2021-09-30 00:00:00 | Democratic Republic of the Congo | COD            | COD74          | TANGANYIKA      | COD7402        | KALEMIE         | COD7402ZS01    | KALEMIE         | 2021-08-30 00:00:00 |                         0 |                          0 |                      63 |                      345 |
| 2021-09-30 00:00:00 | Democratic Republic of the Congo | COD            | COD74          | TANGANYIKA      | COD7404        | MOBA            | COD7404ZS02    | MOBA            | 2021-08-08 00:00:00 |                         0 |                          0 |                       0 |                        0 |
| 2021-09-30 00:00:00 | Democratic Republic of the Congo | COD            | COD74          | TANGANYIKA      | COD7409        | KONGOLO         | COD7409ZS02    | MBULULA         | 2021-08-15 00:00:00 |                         0 |                          0 |                       0 |                        0 |
| 2021-09-30 00:00:00 | Democratic Republic of the Congo | COD            | COD74          | TANGANYIKA      | COD7409        | KONGOLO         | COD7409ZS01    | KONGOLO         | 2021-08-05 00:00:00 |                         0 |                          0 |                      50 |                      339 |
| 2021-09-30 00:00:00 | Democratic Republic of the Congo | COD            | COD74          | TANGANYIKA      | COD7409        | KONGOLO         | COD7409ZS01    | KONGOLO         | 2021-08-15 00:00:00 |                         0 |                          0 |                       0 |                        0 |

TableB:
| Country_Name                     | Country_Code   | Reported_Date       | admin_1_code   | admin_1_label   | admin_2_code   | admin_2_label   | admin_3_code   | admin_3_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            | 2021-08-31 00:00:00 | COD54          | ITURI           | COD5407        | MAHAGI          | COD5407ZS07    | RIMBA           | 2021-08-12 00:00:00 |                       123 |                        739 |                       0 |                        0 |
| Democratic Republic of the Congo | COD            | 2021-08-31 00:00:00 | COD54          | ITURI           | COD5405        | DJUGU           | COD5405ZS12    | RETHY           | 2021-08-04 00:00:00 |                         0 |                          0 |                       0 |                        0 |
| Democratic Republic of the Congo | COD            | 2021-08-31 00:00:00 | COD54          | ITURI           | COD5402        | IRUMU           | COD5402ZS03    | GETHY           | 2021-08-13 00:00:00 |                       104 |                        473 |                      32 |                      137 |
| Democratic Republic of the Congo | COD            | 2021-08-31 00:00:00 | COD54          | ITURI           | COD5409        | ARU             | COD5409ZS04    | ARU             | 2021-08-07 00:00:00 |                         0 |                          0 |                       0 |                        0 |
| Democratic Republic of the Congo | COD            | 2021-08-31 00:00:00 | COD54          | ITURI           | COD5409        | ARU             | COD5409ZS06    | LAYBO           | 2021-08-07 00:00:00 |                         0 |                          0 |                       0 |                        0 |
| Democratic Republic of the Congo | COD            | 2021-08-31 00:00:00 | COD54          | ITURI           | COD5402        | IRUMU           | COD5402ZS02    | BUNIA           | 2021-08-11 00:00:00 |                        19 |                        100 |                       0 |                        0 |
| Democratic Republic of the Congo | COD            | 2021-08-31 00:00:00 | COD54          | ITURI           | COD5405        | DJUGU           | COD5405ZS01    | BAMBU           | 2021-08-10 00:00:00 |                        17 |                         88 |                      55 |                      280 |
| Democratic Republic of the Congo | COD            | 2021-08-31 00:00:00 | COD54          | ITURI           | COD5409        | ARU             | COD5409ZS01    | ADI             | 2021-08-13 00:00:00 |                         0 |                          0 |                       0 |                        0 |
| Democratic Republic of the Congo | COD            | 2021-08-31 00:00:00 | COD54          | ITURI           | COD5405        | DJUGU           | COD5405ZS10    | MONGBALU        | 2021-08-04 00:00:00 |                         0 |                          0 |                      19 |                      106 |
| Democratic Republic of the Congo | COD            | 2021-08-31 00:00:00 | COD54          | ITURI           | COD5402        | IRUMU           | COD5402ZS05    | NYAKUNDE        | 2021-08-09 00:00:00 |                       225 |                       2192 |                       0 |                        0 |



source_headers: Reported Date
Country Name
Country Code
admin_1_code
admin_1_label
admin_2_code
admin_2_label
admin_3_code
admin_3_label
date_enquete
hh_IDP_presents_36_mois
ind_IDP_presents_36_mois
hh_RETs_presents_36mo
ind_RETs_presents_36mo
target_headers: Reported_Date
Country_Name
Country_Code
admin_1_code
admin_1_label
admin_2_code
admin_2_label
admin_3_code
admin_3_label
date_enquete
hh_IDP_presents_36_mois
ind_IDP_presents_36_mois
hh_RETs_presents_36mo
ind_RETs_presents_36mo
column_mappings: Reported Date
Reported_Date
Country Name
Country_Name
Country Code
Country_Code
admin_1_code
admin_1_code
admin_1_label
admin_1_label
admin_2_code
admin_2_code
admin_2_label
admin_2_label
admin_3_code
admin_3_code
admin_3_label
admin_3_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": [["Reported Date", "Reported_Date"], ["Country Name", "Country_Name"], ["Country Code", "Country_Code"], ["admin_1_code", "admin_1_code"], ["admin_1_label", "admin_1_label"], ["admin_2_code", "admin_2_code"], ["admin_2_label", "admin_2_label"], ["admin_3_code", "admin_3_code"], ["admin_3_label", "admin_3_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"]]}