Task: Schema-Matching (source dataset: DeepMDatasets)

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:
| id   | name                             | addr                        | city             | phone         | type        | class   |
|:-----|:---------------------------------|:----------------------------|:-----------------|:--------------|:------------|:--------|
| id   | name                             | addr                        | city             | phone         | type        | class   |
| 0    | ` arnie morton \ 's of chicago ' | ' 435 s. la cienega blv . ' | ` los angeles '  | 310/246 -1501 | american    | 0       |
| 1    | ` art \ 's delicatessen '        | ' 12224 ventura blvd. '     | ` studio city '  | 818/762 -1221 | american    | 1       |
| 2    | ` hotel bel-air '                | ' 701 stone canyon rd. '    | ` bel air '      | 310/472 -1211 | californian | 2       |
| 3    | ` cafe bizou '                   | ' 14016 ventura blvd. '     | ` sherman oaks ' | 818/788 -3536 | french      | 3       |
| 4    | campanile                        | ' 624 s. la brea ave. '     | ` los angeles '  | 213/938 -1447 | american    | 4       |
| 5    | ` chinois on main '              | ' 2709 main st. '           | ` santa monica ' | 310/392 -9025 | french      | 5       |
| 6    | citrus                           | ' 6703 melrose ave. '       | ` los angeles '  | 213/857 -0034 | californian | 6       |
| 7    | fenix                            | ' 8358 sunset blvd. west '  | hollywood        | 213/848 -6677 | american    | 7       |
| 8    | granita                          | ' 23725 w. malibu rd. '     | malibu           | 310/456 -0488 | californian | 8       |

TableB:
|   id | name                          | addr                               | city                 | phone        | type                 |   class |
|-----:|:------------------------------|:-----------------------------------|:---------------------|:-------------|:---------------------|--------:|
|    0 | ` apple pan the '             | ' 10801 w. pico blvd. '            | ` west la '          | 310-475-3585 | american             |     534 |
|    1 | ` asahi ramen '               | ' 2027 sawtelle blvd. '            | ` west la '          | 310-479-2231 | ` noodle shops '     |     535 |
|    2 | ` baja fresh '                | ' 3345 kimber dr. '                | ` westlake village ' | 805-498-4049 | mexican              |     536 |
|    3 | ` belvedere the '             | ' 9882 little santa monica blvd. ' | ` beverly hills '    | 310-788-2306 | ` pacific new wave ' |     537 |
|    4 | ` benita \ 's frites '        | ' 1433 third st. promenade '       | ` santa monica '     | 310-458-2889 | ` fast food '        |     538 |
|    5 | ` bernard \ 's '              | ' 515 s. olive st. '               | ` los angeles '      | 213-612-1580 | continental          |     539 |
|    6 | ` bistro 45 '                 | '45 s. mentor ave. '               | pasadena             | 818-795-2478 | californian          |     540 |
|    7 | ` brent \ 's deli '           | ' 19565 parthenia ave. '           | northridge           | 818-886-5679 | delis                |     541 |
|    8 | ` brighton coffee shop '      | ' 9600 brighton way '              | ` beverly hills '    | 310-276-7732 | ` coffee shops '     |     542 |
|    9 | ` bristol farms market cafe ' | ' 1570 rosecrans ave. s. '         | pasadena             | 310-643-5229 | californian          |     543 |



source_headers: id
name
addr
city
phone
type
class
target_headers: id
name
addr
city
phone
type
class
column_mappings: id
id
name
name
addr
addr
city
city
phone
phone
type
type
class
class
output: {"column_mappings": [["id", "id"], ["name", "name"], ["addr", "addr"], ["city", "city"], ["phone", "phone"], ["type", "type"], ["class", "class"]]}