Table:
Shaoyang administrative and population data

Division

Area[1]
(km2)

Permanent residents[2]
(2010 Census)

Hukou permits[3]
(late 2009)

Divisions[4]

Subdistricts

Towns

Townships

Including
ethnic
townships

Residential
communities

Villages

SHAOYANG CITY
20,829.63
7,071,741
7,705,957
21
97
99
21
335
5551

Shuangqing District

137.08
307,980
270,458
6
2
4

54
63

Daxiang District

214.66
340,605
309,752
6
2
4

44
81

Beita District

84.39
104,609
87,714
2

3

14
40

Shaodong County

1,776.38
896,625
1,260,966
3
16
9

33
977

Xinshao County

1,762.97
743,073
764,905

11
4

28
652

Shaoyang County

1,996.88
915,600
999,148

12
10

23
633

Longhui County

2,871.16
1,095,392
1,156,917

15
11
2
41
964

Dongkou County

2184.01
770,473
833,003

10
12
3
23
566

Suining County

2,898.89
351,139
363,740

6
19
14
14
348

Xinning County

2,751.31
560,742
607,055

9
9
2
15
474

Chengbu Miao Autonomous County

2,619.76
250,633
267,921

6
5

21
271

Wugang City

1,532.15
734,870
784,378
4
8
9

25
482

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

Provide the cells in each row or column in the JSON structure, using the format {"row_id/column_id":"<row or column index>", "cell_list":"<a list of cells in this row/column>"}.

The cell values of target rows or columns are as follows:
For the 12th row: {"row_id": "12", "cell_list": ['suining county', '2,898.89', '351,139', '363,740', 'none', '6', '19', '14', '14', '348']}
For the 5th column: {"column_id": "5", "cell_list": ['divisions', 'subdistricts', '21', '6', '6', '2', '3', 'none', 'none', 'none', 'none', 'none', 'none', 'none', '4']}