Table:
Year

Team

Games

Rushing

Fumbles

G
GS
Att
Yards
Avg
Long
TD
FD
Fum
Lost

1993
LAR

16
12
294
1,429
4.9
71
7
79
3
1

1994
LAR

16
16
319
1,025
3.2
19
3
53
5
3

1995
STL

15
13
183
637
3.5
41
3
24
4
2

1996
PIT

16
12
320
1,431
4.5
50
11
76
6
4

1997
PIT

15
15
375
1,665
4.4
34
7
94
6
6

1998
PIT

15
15
316
1,185
3.8
42
3
58
2
1

1999
PIT

16
16
299
1,091
3.6
35
7
64
2
1

2000
PIT

16
16
355
1,341
3.8
30
8
71
1
0

2001
PIT

11
11
225
1,072
4.8
48
4
46
3
0

2002
PIT

13
11
187
667
3.6
41
9
42
1
1

2003
PIT

16
10
246
811
3.3
21
7
43
4
4

2004
PIT

15
6
250
941
3.8
29
13
50
1
0

2005
PIT

12
0
110
368
3.3
39
9
30
0
0

Career
192
152
3,479
13,662
3.9
71
91
730
38
23

Inspect the given table and provide the contents of specific rows or columns. Output the cell values in each row or column as JSON in the format {"row_id/column_id":"<row or column index>", "cell_list":"<a list of cells in this row/column>"}, e.g., {"column_id":"3", "cell_list": ["123.89", "News gathering", "selected tools"]}.
Needed rows or columns:
row 14,
row 1,
row 11,
column 8,

The cell values of target rows or columns are as follows:
For row 14: {"row_id": "14", "cell_list": ['2004', 'pit', '15', '6', '250', '941', '3.8', '29', '13', '50', '1', '0']}
For row 1: {"row_id": "1", "cell_list": ['year', 'team', 'games', '', 'rushing', '', '', '', '', '', 'fumbles', '']}
For row 11: {"row_id": "11", "cell_list": ['2001', 'pit', '11', '11', '225', '1,072', '4.8', '48', '4', '46', '3', '0']}
For column 8: {"column_id": "8", "cell_list": ['', 'long', '71', '19', '41', '50', '34', '42', '35', '30', '48', '41', '21', '29', '39', '71']}