Table:
Year

Team

Games

Rushing

Receiving

GP
GS
Att
Yards
TD
Lng
Y/A
Y/G
A/G
Rec
Yards
TD
Lng
Y/R
R/G
Y/G

1990
DAL

16
15
241
937
11
48
3.9
58.6
15.1
24
228
0
57
9.5
1.5
14.3

1991
DAL

16
16
365
1,563
12
75
4.3
97.7
22.8
49
258
1
14
5.3
3.1
16.1

1992
DAL

16
16
373
1,713
18
68
4.6
107.1
23.3
59
335
1
26
5.7
3.7
20.9

1993
DAL

14
13
283
1,486
9
62
5.3
106.1
20.2
57
414
1
86
7.3
4.1
29.6

1994
DAL

15
15
368
1,484
21
46
4.0
98.9
24.5
50
341
1
68
6.8
3.3
22.7

1995
DAL

16
16
377
1,773
25
60
4.7
110.8
23.6
62
375
0
40
6.0
3.9
23.4

1996
DAL

15
15
327
1,204
12
42
3.7
80.3
21.8
47
249
3
21
5.3
3.1
16.6

1997
DAL

16
16
261
1,074
4
44
4.1
67.1
16.3
40
234
0
24
5.9
2.5
14.6

1998
DAL

16
16
319
1,332
13
32
4.2
83.3
19.9
27
175
2
24
6.5
1.7
10.9

1999
DAL

15
15
329
1,397
11
63
4.2
93.1
21.9
27
119
2
14
4.4
1.8
7.9

2000
DAL

16
16
294
1,203
9
52
4.1
75.2
18.4
11
79
0
19
7.2
0.7
4.9

2001
DAL

14
14
261
1,021
3
44
3.9
72.9
18.6
17
116
0
22
6.8
1.2
8.3

2002
DAL

16
16
254
975
5
30
3.8
60.9
15.9
16
89
0
17
5.6
1.0
5.6

2003
ARI

10
5
90
256
2
22
2.8
25.6
9.0
14
107
0
36
7.6
1.4
10.7

2004
ARI

15
15
267
937
9
29
3.5
62.5
17.8
15
105
0
18
7.0
1.0
7.0

Career
226
219
4,409
18,355
164
75
4.2
81.2
19.5
515
3,224
11
86
6.3
2.3
14.3

13 yrs
DAL
201
199
4,052
17,162
153
75
4.2
85.4
20.2
486
3,012
11
86
6.2
2.4
15.0

2 yrs
ARI
25
20
357
1,193
11
29
3.3
47.7
14.3
29
212
0
36
7.3
1.2
8.5

Please provide the cell values contained in these rows or columns of the table:
the 7th row,
the 5th column,
the 11th row,
the 4th column,
the 8th row,

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"]}.

The extracted row or column contents are listed below.
For the 7th row: {"row_id": "7", "cell_list": ['1994', 'dal', '15', '15', '368', '1,484', '21', '46', '4.0', '98.9', '24.5', '50', '341', '1', '68', '6.8', '3.3', '22.7']}
For the 5th column: {"column_id": "5", "cell_list": ['rushing', 'att', '241', '365', '373', '283', '368', '377', '327', '261', '319', '329', '294', '261', '254', '90', '267', '4,409', '4,052', '357']}
For the 11th row: {"row_id": "11", "cell_list": ['1998', 'dal', '16', '16', '319', '1,332', '13', '32', '4.2', '83.3', '19.9', '27', '175', '2', '24', '6.5', '1.7', '10.9']}
For the 4th column: {"column_id": "4", "cell_list": ['', 'gs', '15', '16', '16', '13', '15', '16', '15', '16', '16', '15', '16', '14', '16', '5', '15', '219', '199', '20']}
For the 8th row: {"row_id": "8", "cell_list": ['1995', 'dal', '16', '16', '377', '1,773', '25', '60', '4.7', '110.8', '23.6', '62', '375', '0', '40', '6.0', '3.9', '23.4']}