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_OF_ASYLUM   | RETURN_DATE         | ORIG_PROV_NAME   | ORIG_DIST_NAME   | DESTINATION_PROV_NAME   | DESTINATION_DIST_NAME   |   INDIVIDUALS |   MALE |   FEMALE |
|:--------------------|:--------------------|:-----------------|:-----------------|:------------------------|:------------------------|--------------:|-------:|---------:|
| Pakistan            | 2016-10-29 00:00:00 | Kunduz           | Kunduz           | Kunduz                  | Kunduz                  |            79 |     34 |       45 |
| Pakistan            | 2016-08-27 00:00:00 | Baghlan          | Doshi            | Baghlan                 | Doshi                   |            48 |     27 |       21 |
| Pakistan            | 2016-08-27 00:00:00 | Takhar           | Taloqan          | Takhar                  | Taloqan                 |            22 |     13 |        9 |
| Pakistan            | 2016-11-08 00:00:00 | Kunar            | Asadabad         | Nangarhar               | Jalalabad               |             1 |      0 |        1 |
| Pakistan            | 2016-09-05 00:00:00 | Nangarhar        | Dara-e-Nur       | Nangarhar               | Jalalabad               |            12 |      5 |        7 |
| Pakistan            | 2016-08-28 00:00:00 | Laghman          | Alingar          | Nangarhar               | Surkhrod                |             6 |      1 |        5 |
| Pakistan            | 2016-10-25 00:00:00 | Nangarhar        | Behsud           | Nangarhar               | Jalalabad               |             6 |      4 |        2 |
| Pakistan            | 2016-09-04 00:00:00 | Khost            | Khost(Matun)     | Logar                   | Pul-e- Alam             |             2 |      2 |        0 |
| Pakistan            | 2016-10-02 00:00:00 | Nangarhar        | Sherzad          | Nangarhar               | Jalalabad               |            33 |     14 |       19 |
| Pakistan            | 2016-07-19 00:00:00 | Paktya           | Gardez           | Paktya                  | Gardez                  |            11 |      6 |        5 |

TableB:
| COUNTRY_OF_ASYLUM   | RETURN_DATE         | ORIG_PROV_NAME   | ORIG_DIST_NAME   | DESTINATION_PROV_NAME   | DESTINATION_DIST_NAME   |   INDIVIDUALS |   MALE |   FEMALE |
|:--------------------|:--------------------|:-----------------|:-----------------|:------------------------|:------------------------|--------------:|-------:|---------:|
| Pakistan            | 2019-06-23 00:00:00 | Sar-e-Pul        | Sayad            | Sar-e-Pul               | Sar-e-Pul               |             6 |      1 |        5 |
| Pakistan            | 2019-10-06 00:00:00 | Sar-e-Pul        | Sar-e-Pul        | Sar-e-Pul               | Sar-e-Pul               |             5 |      3 |        2 |
| Iran                | 2019-09-12 00:00:00 | Bamyan           | Bamyan           | Herat                   | Herat                   |             2 |      1 |        1 |
| Iran                | 2019-02-04 00:00:00 | Ghazni           | Ghazni           | Ghazni                  | Ghazni                  |             2 |      2 |        0 |
| Pakistan            | 2019-04-11 00:00:00 | Paktya           | Gardez           | Paktya                  | Gardez                  |             5 |      4 |        1 |
| Pakistan            | 2019-11-27 00:00:00 | Kunar            | Dara-e-Pech      | Nangarhar               | Jalalabad               |             8 |      5 |        3 |
| Pakistan            | 2019-03-28 00:00:00 | Balkh            | Mazar-e-Sharif   | Hilmand                 | Nad-e-Ali               |             3 |      2 |        1 |
| Pakistan            | 2019-09-12 00:00:00 | Takhar           | Yangi Qala       | Takhar                  | Yangi Qala              |             4 |      2 |        2 |
| Pakistan            | 2019-08-22 00:00:00 | Takhar           | Khwajaghar       | Takhar                  | Khwajaghar              |             6 |      3 |        3 |
| Iran                | 2019-06-11 00:00:00 | Ghazni           | Ghazni           | Kabul                   | Kabul                   |             1 |      0 |        1 |



source_headers: COUNTRY_OF_ASYLUM
RETURN_DATE
ORIG_PROV_NAME
ORIG_DIST_NAME
DESTINATION_PROV_NAME
DESTINATION_DIST_NAME
INDIVIDUALS
MALE
FEMALE
target_headers: COUNTRY_OF_ASYLUM
RETURN_DATE
ORIG_PROV_NAME
ORIG_DIST_NAME
DESTINATION_PROV_NAME
DESTINATION_DIST_NAME
INDIVIDUALS
MALE
FEMALE
column_mappings: COUNTRY_OF_ASYLUM
COUNTRY_OF_ASYLUM
RETURN_DATE
RETURN_DATE
ORIG_PROV_NAME
ORIG_PROV_NAME
ORIG_DIST_NAME
ORIG_DIST_NAME
DESTINATION_PROV_NAME
DESTINATION_PROV_NAME
DESTINATION_DIST_NAME
DESTINATION_DIST_NAME
INDIVIDUALS
INDIVIDUALS
MALE
MALE
FEMALE
FEMALE
output: {"column_mappings": [["COUNTRY_OF_ASYLUM", "COUNTRY_OF_ASYLUM"], ["RETURN_DATE", "RETURN_DATE"], ["ORIG_PROV_NAME", "ORIG_PROV_NAME"], ["ORIG_DIST_NAME", "ORIG_DIST_NAME"], ["DESTINATION_PROV_NAME", "DESTINATION_PROV_NAME"], ["DESTINATION_DIST_NAME", "DESTINATION_DIST_NAME"], ["INDIVIDUALS", "INDIVIDUALS"], ["MALE", "MALE"], ["FEMALE", "FEMALE"]]}