Table:
Year

Team

Games

Receiving

Rushing

Returning

Fumbles

GP
GS
Rec
Yds
Avg
Lng
TD
Att
Yds
Avg
Lng
TD
Ret
Yds
Avg
Lng
TD
Fum
Lost

2012
DAL

10
0
15
128
8.5
20
0
0
0
0.0
0
0
0
0
0.0
0
0
0
0

2013
DAL

14
3
39
368
9.4
23
2
0
0
0.0
0
0
11
79
7.2
14
0
1
0

2014
DAL

16
2
37
420
11.4
45
4
0
0
0.0
0
0
0
0
0.0
0
0
2
2

2015
DAL

16
3
52
536
10.3
30
5
0
0
0.0
0
0
12
69
5.8
22
0
2
2

2016
DAL

16
6
75
833
11.1
47
5
1
7
7.0
7
0
0
0
0.0
0
0
0
0

2017
DAL

15
4
36
314
8.7
54
4
0
0
0.0
0
0
2
19
9.5
15
0
0
0

2018
DAL

16
4
65
672
10.3
32
3
0
0
0.0
0
0
12
69
5.8
14
0
0
0

Career
103
22
319
3,271
54
10.3
23
1
7
7.0
7
0
40
239
6.0
22
0
5
4

Please perform the following task:
Examine the provided table image to identify all cells that are merged. Report back the merged cell areas using the JSON {'top-left':(A, B), 'bottom-right':(C, D)}, where '(A, B)' represents the top-left and '(C, D)' the bottom-right cell's (row_id, column_id) in each merged region. Note that both row and column IDs begin at 1.

The merged cell regions are as follows:
{'top-left':(1, 1), 'bottom-right':(2, 1)}
{'top-left':(1, 2), 'bottom-right':(2, 2)}
{'top-left':(1, 3), 'bottom-right':(1, 4)}
{'top-left':(1, 5), 'bottom-right':(1, 9)}
{'top-left':(1, 10), 'bottom-right':(1, 14)}
{'top-left':(1, 15), 'bottom-right':(1, 19)}
{'top-left':(1, 20), 'bottom-right':(1, 21)}
{'top-left':(10, 1), 'bottom-right':(10, 2)}.