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   | Date of Assessment   | State    | Admin 1 Code   | LGA             | Admin 2 Code   |   Number households |   Number individuals |
|:----------|:---------------|:----------------|:---------------------|:---------|:---------------|:----------------|:---------------|--------------------:|---------------------:|
| Nigeria   | NGA            | March-31-2022   | 2022-03-19 00:00:00  | BORNO    | NGA008         | MAIDUGURI M. C. | NGA008021      |                 166 |                  944 |
| Nigeria   | NGA            | March-31-2022   | 2022-03-03 00:00:00  | ADAMAWA  | NGA002         | NUMAN           | NGA002016      |                  35 |                  245 |
| Nigeria   | NGA            | March-31-2022   | 2022-03-29 00:00:00  | YOBE     | NGA036         | POTISKUM        | NGA036014      |                   5 |                   55 |
| Nigeria   | NGA            | March-31-2022   | 2022-03-07 00:00:00  | ADAMAWA  | NGA002         | HONG            | NGA002007      |                   3 |                    8 |
| Nigeria   | NGA            | March-31-2022   | 2022-02-21 00:00:00  | YOBE     | NGA036         | DAMATURU        | NGA036003      |                 130 |                  780 |
| Nigeria   | NGA            | March-31-2022   | 2022-02-18 00:00:00  | TARABA   | NGA035         | ZING            | NGA035016      |                  40 |                  123 |
| Nigeria   | NGA            | March-31-2022   | 2022-03-01 00:00:00  | BAUCHI   | NGA005         | ZAKI            | NGA005020      |                  18 |                   90 |
| Nigeria   | NGA            | March-31-2022   | 2022-03-18 00:00:00  | BORNO    | NGA008         | KWAYA / KUSAR   | NGA008018      |                  39 |                  329 |
| Nigeria   | NGA            | March-31-2022   | 2022-02-25 00:00:00  | GOMBE    | NGA016         | KALTUNGO        | NGA016007      |                  34 |                  299 |
| Nigeria   | NGA            | March-31-2022   | 2022-03-03 00:00:00  | ADAMAWA  | NGA002         | GIREI           | NGA002005      |                  24 |                  135 |

TableB:
| Country   | Country_Code   | Reported_Date   | Date of Assessment   | State Code   | State    | LGA Code   | LGA             |   Number households |   Number individuals |
|:----------|:---------------|:----------------|:---------------------|:-------------|:---------|:-----------|:----------------|--------------------:|---------------------:|
| Nigeria   | NGA            | Jan-31-2022     | 2021-11-30 00:00:00  | NGA036       | Yobe     | NGA036003  | Damaturu        |                  79 |                  474 |
| Nigeria   | NGA            | Jan-31-2022     | 2021-10-05 00:00:00  | NGA036       | Yobe     | NGA036017  | Yusufari        |                  35 |                  152 |
| Nigeria   | NGA            | Jan-31-2022     | 2021-11-24 00:00:00  | NGA036       | Yobe     | NGA036005  | Fune            |                  22 |                  121 |
| Nigeria   | NGA            | Jan-31-2022     | 2021-11-26 00:00:00  | NGA008       | Borno    | NGA008013  | Jere            |                 346 |                 2014 |
| Nigeria   | NGA            | Jan-31-2022     | 2022-01-05 00:00:00  | NGA008       | Borno    | NGA008008  | Dikwa           |                 542 |                 2926 |
| Nigeria   | NGA            | Jan-31-2022     | 2021-09-22 00:00:00  | NGA035       | Taraba   | NGA035014  | Wukari          |                  82 |                  495 |
| Nigeria   | NGA            | Jan-31-2022     | 2021-09-19 00:00:00  | NGA035       | Taraba   | NGA035014  | Wukari          |                 113 |                  564 |
| Nigeria   | NGA            | Jan-31-2022     | 2021-12-03 00:00:00  | NGA002       | Adamawa  | NGA002009  | Lamurde         |                  25 |                  150 |
| Nigeria   | NGA            | Jan-31-2022     | 2021-11-25 00:00:00  | NGA016       | Gombe    | NGA016001  | Akko            |                  57 |                  351 |
| Nigeria   | NGA            | Jan-31-2022     | 2021-12-08 00:00:00  | NGA008       | Borno    | NGA008021  | Maiduguri M. C. |                  31 |                  172 |



source_headers: Country
Country Code
Reported Date
Date of Assessment
State 
Admin 1 Code
LGA 
Admin 2 Code
Number households
Number individuals
target_headers: Country
Country_Code
Reported_Date
Date of Assessment
State 
State Code
LGA 
LGA Code
Number households
Number individuals
column_mappings: Country
Country
Country Code
Country_Code
Reported Date
Reported_Date
Date of Assessment
Date of Assessment
State 
State 
Admin 1 Code
State Code
LGA 
LGA 
Admin 2 Code
LGA Code
Number households
Number households
Number individuals
Number individuals
output: {"column_mappings": [["Country", "Country"], ["Country Code", "Country_Code"], ["Reported Date", "Reported_Date"], ["Date of Assessment", "Date of Assessment"], ["State ", "State "], ["Admin 1 Code", "State Code"], ["LGA ", "LGA "], ["Admin 2 Code", "LGA Code"], ["Number households", "Number households"], ["Number individuals", "Number individuals"]]}