Table:
Place
Player
Country
Score
To par

1
Darren Clarke
Northern Ireland
67-66=133
–9

2
Justin Leonard
United States
69-66=135
–7

3
Jesper Parnevik
Sweden
70-66=136
–6

T4
Fred Couples
United States
69-68=137
–5

David Tapping
England
71-66=137

T6
Jim Furyk
United States
67-72=139
–3

Tom Kite
United States
72-67=139

8
Ángel Cabrera
Argentina
70-70=140
–2

T9
Mark Calcavecchia
United States
74-67=141
–1

Jay Haas
United States
71-70=141

Davis Love III
United States
70-71=141

Tom Watson
United States
71-70=141

Can you extract the data from these specific rows or columns in the table provided?
row 6
column 5
column 4
row 7
row 12

The cells of every row or column should be presented in the JSON format of {"row_id/column_id":"<row or column index>", "cell_list":"<a list of cells in this row/column>"}, e.g., {"row_id":"3", "cell_list": ["xxx", "yyy", "zzz"]}.

The extracted row or column contents are listed below.
For row 6: {"row_id": "6", "cell_list": ['t4', 'david tapping', 'england', '71 + 66 = 137', '- 5']}
For column 5: {"column_id": "5", "cell_list": ['to par', '- 9', '- 7', '- 6', '- 5', '- 5', '- 3', '- 3', '- 2', '- 1', '- 1', '- 1', '- 1']}
For column 4: {"column_id": "4", "cell_list": ['score', '67 + 66 = 133', '69 + 66 = 135', '70 + 66 = 136', '69 + 68 = 137', '71 + 66 = 137', '67 + 72 = 139', '72 + 67 = 139', '70 + 70 = 140', '74 + 67 = 141', '71 + 70 = 141', '70 + 71 = 141', '71 + 70 = 141']}
For row 7: {"row_id": "7", "cell_list": ['t6', 'jim furyk', 'united states', '67 + 72 = 139', '- 3']}
For row 12: {"row_id": "12", "cell_list": ['t9', 'davis love iii', 'united states', '70 + 71 = 141', '- 1']}