correct.txt snippet:
1 2 1
1 3 3
1 5 21
1 7 19
union_output_TEMP.txt snippet:
1 2 1_NN
1 3 3_VBZ
1 3 5_VBZ
1 3 2_VBZ
1 5 21_VB
1 7 19_NN
1 9 14_VB
I need to get the output in categorized.txt as:
NN={1 7 19, 1 2 1}
VBZ={1 3 3}
VB={1 5 21}
in python.
Kindly help
1 2 1
1 3 3
1 5 21
1 7 19
1 10 13
1 11 14
1 12 12
1 13 11
1 13 9
1 13 8
1 13 10
1 14 7
1 15 6
1 16 22
2 1 4
2 2 1
2 2 2
2 3 3
3 1 5
3 1 4
3 2 1
3 3 2
3 4 3
4 1 1
4 2 2
4 3 5
4 5 3
4 6 4
4 7 6
5 2 1
5 5 5
5 8 2
5 10 3
5 13 16
5 14 18
5 15 15
5 16 7
5 17 8
5 18 11
5 18 12
5 18 9
5 18 13
5 19 23
6 1 3
6 1 4
6 2 1
6 3 2
7 1 1
7 2 2
7 3 3
7 4 12
7 6 10
7 7 11
7 8 8
7 9 5
7 9 4
7 10 6
7 13 13
8 2 1
8 3 12
8 4 11
8 5 10
8 6 7
8 7 8
8 8 9
8 13 5
8 14 14
9 1 4
9 2 1
9 3 3
9 3 2
9 4 3
9 5 3
10 1 11
10 2 9
10 3 1
10 4 2
10 5 3
10 6 4
10 7 5
10 8 6
10 9 7
10 10 13
10 12 14
10 16 20
10 17 21
10 19 16
10 20 18
10 20 17
10 22 18
10 23 26
11 1 5
11 2 1
11 3 3
12 2 1
12 3 26
12 4 25
12 5 10
12 8 7
12 8 9
12 10 12
12 14 20
12 15 14
12 16 15
12 17 16
12 18 18
12 19 19
12 20 27
1 2 1_NN
1 3 3_VBZ
1 3 5_VBZ
1 3 2_VBZ
1 5 21_VB
1 7 19_NN
1 9 14_VB
1 10 17_JJR
1 10 18_JJR
1 10 15_JJR
1 10 13_JJR
1 10 21_JJR
1 10 14_JJR
1 11 14_NNS
1 12 12_IN
1 13 11_NNS
1 13 14_NNS
1 13 9_NNS
1 13 8_NNS
1 13 10_NNS
1 13 6_NNS
1 14 7_IN
1 15 6_NNS
1 16 22_.
2 1 4_VBG
2 2 5_JJ
2 2 1_JJ
2 2 2_JJ
2 2 4_JJ
2 3 3_NN
3 1 5_NN
3 1 3_NN
3 1 6_NN
3 1 4_NN
3 2 3_NN
3 2 1_NN
3 3 2_CC
3 4 3_NNS
4 1 1_NN
4 2 2_NN
4 3 5_VBZ
4 5 3_JJ
4 6 4_NN
4 7 6_.
5 2 1_NN
5 3 21_VBZ
5 4 18_VBG
5 5 5_IN
5 7 11_JJ
5 8 2_NN
5 10 3_NNS
5 12 18_VB
5 13 16_NN
5 14 21_NNS
5 14 18_NNS
5 14 19_NNS
5 14 20_NNS
5 15 15_IN
5 16 7_NNS
5 17 8_CC
5 18 11_NNS
5 18 12_NNS
5 18 9_NNS
5 18 6_NNS
5 18 13_NNS
5 18 22_NNS
5 18 8_NNS
5 19 23_.
6 1 3_VBG
6 1 4_VBG
6 2 1_NN
6 3 2_NN
7 1 1_JJ
7 2 2_NN
7 3 3_NN
7 4 12_VBZ
7 5 11_DT
7 6 11_JJ
7 6 7_JJ
7 6 10_JJ
7 6 9_JJ
7 7 11_NN
7 8 8_IN
7 9 5_DT
7 9 4_DT
7 10 10_JJ
7 10 6_JJ
7 11 10_NN
7 12 10_NN
7 13 13_.
8 2 1_NN
8 3 12_VBZ
8 3 3_VBZ
8 3 11_VBZ
8 3 4_VBZ
8 3 2_VBZ
8 4 11_TO
8 5 10_VB
8 6 7_JJ
8 7 8_NN
8 7 9_NN
8 8 9_NN
8 11 5_NN
8 13 5_NNS
8 14 14_.
9 1 3_VBG
9 1 1_VBG
9 1 4_VBG
9 2 1_JJ
9 3 3_NNS
9 3 2_NNS
9 4 3_IN
9 5 5_NN
9 5 6_NN
9 5 3_NN
10 1 11_VBG
10 1 1_VBG
10 2 9_IN
10 3 1_NN
10 4 2_,
10 5 3_NN
10 6 5_NNS
10 6 4_NNS
10 6 9_NNS
10 7 5_CC
10 8 6_JJ
10 9 7_NNS
10 10 13_,
10 12 14_NN
10 13 15_VBZ
10 14 21_VBN
10 14 12_VBN
10 15 21_RP
10 16 20_NN
10 16 23_NN
10 16 22_NN
10 16 21_NN
10 16 7_NN
10 17 21_NNS
10 17 10_NNS
10 18 24_IN
10 19 16_JJ
10 20 18_NNS
10 20 17_NNS
10 21 8_IN
10 22 18_NN
10 23 26_.
11 1 2_VBG
11 1 3_VBG
11 1 5_VBG
11 2 1_JJ
11 3 3_NN
11 3 6_NN
12 2 1_NN
12 3 26_MD
12 4 25_VB
12 5 10_VB
12 6 9_NN
12 7 7_NN
12 7 15_NN
12 8 10_NNS
12 8 7_NNS
12 8 2_NNS
12 8 6_NNS
12 8 4_NNS
12 8 9_NNS
12 10 12_CC
12 11 18_VB
12 12 19_PRP$
12 13 19_NN
12 14 20_IN
12 15 14_JJ
12 15 13_JJ
12 16 15_CC
12 17 16_JJ
12 18 18_NN
12 18 26_NN
12 18 24_NN
12 18 19_NN
12 18 22_NN
12 18 11_NN
12 18 25_NN
12 18 21_NN
12 19 19_NNS
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