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:
| Code_Village   | Date_enquete phase 2   | Province   | Admin1_Code   | Territoire   | Admin2_Code   | Village                               |   TOTAL PDI A JOUR |   TOTAL IND RET A JOUR |
|:---------------|:-----------------------|:-----------|:--------------|:-------------|:--------------|:--------------------------------------|-------------------:|-----------------------:|
| CJ186002       | 2018-07-21 00:00:00    | Lomami     | CD81          | LUILU        | CD8104        | Kambeyi                               |                 25 |                      0 |
| CN272003       | Pas évalué             | Lomami     | CD81          | NGANDAJIKA   | CD8106        | KABANGU                               |                  0 |                     10 |
| CE094014       | Pas évalué             | Lomami     | CD81          | LUBAO        | CD8108        | EBONDO KAPE  2    (NOUVEAU  VILLAGE ) |                 35 |                      0 |
| CO287001       | 2018-07-31 00:00:00    | Lomami     | CD81          | LUBAO        | CD8108        | Kabue                                 |                176 |                    139 |
| CP310003       | Pas évalué             | Lomami     | CD81          | LUILU        | CD8104        | MUINKAND                              |                 75 |                      0 |
| CL227004       | Pas évalué             | Lomami     | CD81          | MWENE-DITU   | CD8103        | MARTHYR                               |                152 |                      0 |
| CG144008       | 2018-07-22 00:00:00    | LOMAMI     | CD81          | LUILU        | CD8104        | TRIANGLE II                           |                182 |                      0 |
| CP311001       | Pas évalué             | Lomami     | CD81          | LUILU        | CD8104        | TSHIOL                                |                115 |                    525 |
| CH147031       | Pas évalué             | Lomami     | CD81          | LUBAO        | CD8108        | KILENGE                               |                  0 |                      0 |
| CE100009       | Pas évalué             | Lomami     | CD81          | LUBAO        | CD8108        | Londres                               |                  0 |                      0 |

TableB:
| Reported Date   | Country Name                     | Country Code   | Nom Province   | Admin1_Code   | Nom Territoire   | Admin2_Code   | Date_R2             |   Menages deplaces |   Individus deplace |   nbre_menage_retournes |   nbre_individus_retournes |
|:----------------|:---------------------------------|:---------------|:---------------|:--------------|:-----------------|:--------------|:--------------------|-------------------:|--------------------:|------------------------:|---------------------------:|
| Jan-31-2020     | Democratic Republic of the Congo | COD            | TANGANYIKA     | COD74         | KABALO           | COD7407       | 2020-01-16 00:00:00 |                  6 |                  38 |                       0 |                          0 |
| Jan-31-2020     | Democratic Republic of the Congo | COD            | TANGANYIKA     | COD74         | MANONO           | COD7406       | 2020-01-17 00:00:00 |                 30 |                 186 |                     308 |                       1799 |
| Jan-31-2020     | Democratic Republic of the Congo | COD            | TANGANYIKA     | COD74         | MANONO           | COD7406       | 2020-01-10 00:00:00 |                  0 |                   0 |                      62 |                        359 |
| Jan-31-2020     | Democratic Republic of the Congo | COD            | TANGANYIKA     | COD74         | MANONO           | COD7406       | 2020-01-16 00:00:00 |                 18 |                 108 |                      61 |                        133 |
| Jan-31-2020     | Democratic Republic of the Congo | COD            | TANGANYIKA     | COD74         | KABALO           | COD7407       | 2020-01-16 00:00:00 |                  1 |                   6 |                       0 |                          0 |
| Jan-31-2020     | Democratic Republic of the Congo | COD            | TANGANYIKA     | COD74         | MANONO           | COD7406       | 2020-01-17 00:00:00 |                  1 |                   8 |                      24 |                        129 |
| Jan-31-2020     | Democratic Republic of the Congo | COD            | TANGANYIKA     | COD74         | MANONO           | COD7406       | 2020-01-16 00:00:00 |                 12 |                  81 |                     521 |                       2508 |
| Jan-31-2020     | Democratic Republic of the Congo | COD            | TANGANYIKA     | COD74         | MANONO           | COD7406       | 2020-01-12 00:00:00 |                  3 |                  19 |                       6 |                         34 |
| Jan-31-2020     | Democratic Republic of the Congo | COD            | TANGANYIKA     | COD74         | KABALO           | COD7407       | 2020-01-17 00:00:00 |                 27 |                 135 |                       0 |                          0 |
| Jan-31-2020     | Democratic Republic of the Congo | COD            | TANGANYIKA     | COD74         | KABALO           | COD7407       | 2020-01-16 00:00:00 |                  0 |                   0 |                      21 |                         79 |



source_headers: Date_enquete phase 2
Province
Admin1_Code
Territoire
Admin2_Code
TOTAL PDI A JOUR
TOTAL IND RET A JOUR
target_headers: Date_R2
Nom Province
Admin1_Code
Nom Territoire
Admin2_Code
Individus deplace
nbre_individus_retournes
column_mappings: Date_enquete phase 2
Date_R2
Province
Nom Province
Admin1_Code
Admin1_Code
Territoire
Nom Territoire
Admin2_Code
Admin2_Code
TOTAL PDI A JOUR
Individus deplace
TOTAL IND RET A JOUR
nbre_individus_retournes
output: {"column_mappings": [["Code_Village", null], ["Date_enquete phase 2", "Date_R2"], ["Province", "Nom Province"], ["Admin1_Code", "Admin1_Code"], ["Territoire", "Nom Territoire"], ["Admin2_Code", "Admin2_Code"], ["Village", null], ["TOTAL PDI A JOUR", "Individus deplace"], ["TOTAL IND RET A JOUR", "nbre_individus_retournes"]]}