Table:
Number

Name

Type

Livery

Status

Notes

Brightside

Yorkshire Engine Company 0-4-0

Black

Under Repair

Currently dismantled for overhaul

6

Roger H. Bennett

Yorkshire Engine Company "Janus" 0-6-0

NCB Blue

Operational

~

D2334

Class 04

Green

Under Repair

Stopped at Sep 2012 diesel gala after failure

25322

Tamworth Castle

Class 25

"Ice Cream Van" Blue

Static Display

built in 1967. Cosmetically restored in 2008

33021

Captain Charles

Class 33

Blue

Operational

built in 1960. On loan from Tysley

33102

Sophie (Unofficial)

Class 33

Blue

Operational

built in 1960. Launched Sep 2012 - restoration still being completed although the loco is now in service

37407

Class 37

Transrail Grey

Stored

~

37424

Class 37

Transrail Grey

Stored

~

47524

Class 47

Rail Express Systems

Under restoration

~

Based on the provided table, please extract the cells' values in the following rows. Represent the cells in a row with the JSON format {"row_id":"<row index>", "cell_list":"<a list of cells in this row>"}. For instance, {"row_id":"5", "cell_list": ["152", "UN", "one last kiss"]}.
Target row indices:
row 7
row 10
row 1
row 2
row 4

The cell values of target rows are as follows:
For row 7: {"row_id": "7", "cell_list": ['33102', 'Sophie (Unofficial)', 'Class 33', 'Blue', 'Operational', 'built in 1960. Launched Sep 2012 - restoration still being completed although the loco is now in service']}
For row 10: {"row_id": "10", "cell_list": ['47524', '', 'Class 47', 'Rail Express Systems', 'Under restoration', '~']}
For row 1: {"row_id": "1", "cell_list": ['Number', 'Name', 'Type', 'Livery', 'Status', 'Notes']}
For row 2: {"row_id": "2", "cell_list": ['', 'Brightside', 'Yorkshire Engine Company 0-4-0', 'Black', 'Under Repair', 'Currently dismantled for overhaul']}
For row 4: {"row_id": "4", "cell_list": ['D2334', '', 'Class 04', 'Green', 'Under Repair', 'Stopped at Sep 2012 diesel gala after failure']}