Table:
waterfront	9:30 A.M.	10:00 A.M.	10:15 A.M.	10:30 A.M.	10:45 A.M.

downtown	10:15 A.M.	10:45 A.M.	11:00 A.M.	11:15 A.M.	11:30 A.M.

theater district	11:15 A.M.	11:45 A.M.	12:00 P.M.	12:15 P.M.	12:30 P.M.

restaurant district	12:00 P.M.	12:30 P.M.	12:45 P.M.	1:00 P.M.	1:15 P.M.

shopping district	1:00 P.M.	1:30 P.M.	1:45 P.M.	2:00 P.M.	2:15 P.M.

Inspect the given table and provide the contents of specific rows or columns. Represent the cells in a row or a column with the JSON format {"row_id/column_id":"<row or column index>", "cell_list":"<a list of cells in this row/column>"}. For instance, {"row_id":"5", "cell_list": ["13", "england", "2023-1201"]}.
Needed rows or columns:
row 1,
column 6,
row 3,
column 2,

The extracted row or column contents are listed below.
For row 1: {"row_id": "1", "cell_list": ['Subway train schedule', 'Subway train schedule', 'Subway train schedule', 'Subway train schedule', 'Subway train schedule', 'Subway train schedule']}
For column 6: {"column_id": "6", "cell_list": ['Subway train schedule', '10:45 A.M.', '11:30 A.M.', '12:30 P.M.', '1:15 P.M.', '2:15 P.M.']}
For row 3: {"row_id": "3", "cell_list": ['downtown', '10:15 A.M.', '10:45 A.M.', '11:00 A.M.', '11:15 A.M.', '11:30 A.M.']}
For column 2: {"column_id": "2", "cell_list": ['Subway train schedule', '9:30 A.M.', '10:15 A.M.', '11:15 A.M.', '12:00 P.M.', '1:00 P.M.']}