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  1. README.md +96 -92
  2. stats.csv +90 -90
  3. stats.md +90 -90
README.md CHANGED
@@ -9,13 +9,17 @@ size_categories:
9
  - 1K<n<10K
10
  pretty_name: SemEval2012 task 2 Relational Similarity
11
  ---
12
- # Dataset Card for "relbert/semeval2012_relational_similarity"
13
  ## Dataset Description
14
  - **Repository:** [RelBERT](https://github.com/asahi417/relbert)
15
  - **Paper:** [https://aclanthology.org/S12-1047/](https://aclanthology.org/S12-1047/)
16
  - **Dataset:** SemEval2012: Relational Similarity
17
 
18
  ### Dataset Summary
 
 
 
 
19
  Relational similarity dataset from [SemEval2012 task 2](https://aclanthology.org/S12-1047/), compiled to fine-tune [RelBERT](https://github.com/asahi417/relbert) model.
20
  The dataset contains a list of positive and negative word pair from 89 pre-defined relations.
21
  The relation types are constructed on top of following 10 parent relation types.
@@ -50,103 +54,103 @@ An example of `train` looks as follows.
50
  ### Data Splits
51
  | name |train|validation|
52
  |---------|----:|---------:|
53
- |semeval2012_relational_similarity| 89 | 89|
54
 
55
 
56
  ### Number of Positive/Negative Word-pairs in each Split
57
 
58
  | relation_type | positive (train) | negative (train) | positive (validation) | negative (validation) |
59
  |:----------------|-------------------:|-------------------:|------------------------:|------------------------:|
60
- | 1 | 50 | 740 | 63 | 826 |
61
- | 10 | 60 | 730 | 66 | 823 |
62
- | 10a | 10 | 799 | 14 | 894 |
63
- | 10b | 10 | 797 | 13 | 893 |
64
- | 10c | 10 | 800 | 11 | 898 |
65
- | 10d | 10 | 799 | 10 | 898 |
66
- | 10e | 10 | 795 | 8 | 896 |
67
- | 10f | 10 | 799 | 10 | 898 |
68
- | 1a | 10 | 797 | 14 | 892 |
69
- | 1b | 10 | 797 | 14 | 892 |
70
- | 1c | 10 | 800 | 11 | 898 |
71
- | 1d | 10 | 797 | 16 | 890 |
72
- | 1e | 10 | 794 | 8 | 895 |
73
- | 2 | 100 | 690 | 117 | 772 |
74
- | 2a | 10 | 799 | 15 | 893 |
75
- | 2b | 10 | 796 | 11 | 894 |
76
- | 2c | 10 | 798 | 13 | 894 |
77
- | 2d | 10 | 798 | 10 | 897 |
78
- | 2e | 10 | 799 | 11 | 897 |
79
- | 2f | 10 | 802 | 11 | 900 |
80
- | 2g | 10 | 796 | 16 | 889 |
81
- | 2h | 10 | 799 | 11 | 897 |
82
- | 2i | 10 | 800 | 9 | 900 |
83
- | 2j | 10 | 801 | 10 | 900 |
84
- | 3 | 80 | 710 | 80 | 809 |
85
- | 3a | 10 | 799 | 11 | 897 |
86
- | 3b | 10 | 802 | 11 | 900 |
87
- | 3c | 10 | 798 | 12 | 895 |
88
- | 3d | 10 | 798 | 14 | 893 |
89
- | 3e | 10 | 802 | 5 | 906 |
90
- | 3f | 10 | 803 | 11 | 901 |
91
- | 3g | 10 | 801 | 6 | 904 |
92
- | 3h | 10 | 801 | 10 | 900 |
93
- | 4 | 80 | 710 | 82 | 807 |
94
- | 4a | 10 | 802 | 11 | 900 |
95
- | 4b | 10 | 797 | 7 | 899 |
96
- | 4c | 10 | 800 | 12 | 897 |
97
- | 4d | 10 | 796 | 4 | 901 |
98
- | 4e | 10 | 802 | 12 | 899 |
99
- | 4f | 10 | 802 | 9 | 902 |
100
- | 4g | 10 | 798 | 15 | 892 |
101
- | 4h | 10 | 801 | 12 | 898 |
102
- | 5 | 90 | 700 | 105 | 784 |
103
- | 5a | 10 | 798 | 14 | 893 |
104
- | 5b | 10 | 801 | 8 | 902 |
105
- | 5c | 10 | 799 | 11 | 897 |
106
- | 5d | 10 | 797 | 15 | 891 |
107
- | 5e | 10 | 801 | 8 | 902 |
108
- | 5f | 10 | 801 | 11 | 899 |
109
- | 5g | 10 | 802 | 9 | 902 |
110
- | 5h | 10 | 800 | 15 | 894 |
111
- | 5i | 10 | 800 | 14 | 895 |
112
- | 6 | 80 | 710 | 99 | 790 |
113
- | 6a | 10 | 798 | 15 | 892 |
114
- | 6b | 10 | 801 | 11 | 899 |
115
- | 6c | 10 | 801 | 13 | 897 |
116
- | 6d | 10 | 804 | 10 | 903 |
117
- | 6e | 10 | 801 | 11 | 899 |
118
- | 6f | 10 | 799 | 12 | 896 |
119
- | 6g | 10 | 798 | 12 | 895 |
120
- | 6h | 10 | 799 | 15 | 893 |
121
- | 7 | 80 | 710 | 91 | 798 |
122
- | 7a | 10 | 800 | 14 | 895 |
123
- | 7b | 10 | 796 | 7 | 898 |
124
- | 7c | 10 | 797 | 11 | 895 |
125
- | 7d | 10 | 800 | 14 | 895 |
126
- | 7e | 10 | 797 | 10 | 896 |
127
- | 7f | 10 | 796 | 12 | 893 |
128
- | 7g | 10 | 794 | 9 | 894 |
129
- | 7h | 10 | 795 | 14 | 890 |
130
- | 8 | 80 | 710 | 90 | 799 |
131
- | 8a | 10 | 797 | 14 | 892 |
132
- | 8b | 10 | 801 | 7 | 903 |
133
- | 8c | 10 | 796 | 12 | 893 |
134
- | 8d | 10 | 796 | 13 | 892 |
135
- | 8e | 10 | 796 | 11 | 894 |
136
- | 8f | 10 | 797 | 12 | 894 |
137
- | 8g | 10 | 793 | 7 | 895 |
138
- | 8h | 10 | 798 | 14 | 893 |
139
- | 9 | 90 | 700 | 96 | 793 |
140
- | 9a | 10 | 795 | 14 | 890 |
141
- | 9b | 10 | 799 | 12 | 896 |
142
- | 9c | 10 | 790 | 7 | 892 |
143
- | 9d | 10 | 803 | 9 | 903 |
144
- | 9e | 10 | 804 | 8 | 905 |
145
- | 9f | 10 | 799 | 10 | 898 |
146
- | 9g | 10 | 796 | 14 | 891 |
147
- | 9h | 10 | 799 | 13 | 895 |
148
- | 9i | 10 | 799 | 9 | 899 |
149
- | SUM | 1580 | 70207 | 1778 | 78820 |
150
 
151
  ### Citation Information
152
  ```
 
9
  - 1K<n<10K
10
  pretty_name: SemEval2012 task 2 Relational Similarity
11
  ---
12
+ # Dataset Card for "relbert/semeval2012_relational_similarity_v2"
13
  ## Dataset Description
14
  - **Repository:** [RelBERT](https://github.com/asahi417/relbert)
15
  - **Paper:** [https://aclanthology.org/S12-1047/](https://aclanthology.org/S12-1047/)
16
  - **Dataset:** SemEval2012: Relational Similarity
17
 
18
  ### Dataset Summary
19
+
20
+ ***IMPORTANT***: This is the same dataset as [relbert/semeval2012_relational_similarity](https://huggingface.co/datasets/relbert/semeval2012_relational_similarity),
21
+ but with a different train/validation split.
22
+
23
  Relational similarity dataset from [SemEval2012 task 2](https://aclanthology.org/S12-1047/), compiled to fine-tune [RelBERT](https://github.com/asahi417/relbert) model.
24
  The dataset contains a list of positive and negative word pair from 89 pre-defined relations.
25
  The relation types are constructed on top of following 10 parent relation types.
 
54
  ### Data Splits
55
  | name |train|validation|
56
  |---------|----:|---------:|
57
+ |semeval2012_relational_similarity_v2| 89 | 89|
58
 
59
 
60
  ### Number of Positive/Negative Word-pairs in each Split
61
 
62
  | relation_type | positive (train) | negative (train) | positive (validation) | negative (validation) |
63
  |:----------------|-------------------:|-------------------:|------------------------:|------------------------:|
64
+ | 1 | 40 | 592 | 10 | 148 |
65
+ | 10 | 48 | 584 | 12 | 146 |
66
+ | 10a | 8 | 640 | 2 | 159 |
67
+ | 10b | 8 | 638 | 2 | 159 |
68
+ | 10c | 8 | 640 | 2 | 160 |
69
+ | 10d | 8 | 640 | 2 | 159 |
70
+ | 10e | 8 | 636 | 2 | 159 |
71
+ | 10f | 8 | 640 | 2 | 159 |
72
+ | 1a | 8 | 638 | 2 | 159 |
73
+ | 1b | 8 | 638 | 2 | 159 |
74
+ | 1c | 8 | 640 | 2 | 160 |
75
+ | 1d | 8 | 638 | 2 | 159 |
76
+ | 1e | 8 | 636 | 2 | 158 |
77
+ | 2 | 80 | 552 | 20 | 138 |
78
+ | 2a | 8 | 640 | 2 | 159 |
79
+ | 2b | 8 | 637 | 2 | 159 |
80
+ | 2c | 8 | 639 | 2 | 159 |
81
+ | 2d | 8 | 639 | 2 | 159 |
82
+ | 2e | 8 | 640 | 2 | 159 |
83
+ | 2f | 8 | 642 | 2 | 160 |
84
+ | 2g | 8 | 637 | 2 | 159 |
85
+ | 2h | 8 | 640 | 2 | 159 |
86
+ | 2i | 8 | 640 | 2 | 160 |
87
+ | 2j | 8 | 641 | 2 | 160 |
88
+ | 3 | 64 | 568 | 16 | 142 |
89
+ | 3a | 8 | 640 | 2 | 159 |
90
+ | 3b | 8 | 642 | 2 | 160 |
91
+ | 3c | 8 | 639 | 2 | 159 |
92
+ | 3d | 8 | 639 | 2 | 159 |
93
+ | 3e | 8 | 642 | 2 | 160 |
94
+ | 3f | 8 | 643 | 2 | 160 |
95
+ | 3g | 8 | 641 | 2 | 160 |
96
+ | 3h | 8 | 641 | 2 | 160 |
97
+ | 4 | 64 | 568 | 16 | 142 |
98
+ | 4a | 8 | 642 | 2 | 160 |
99
+ | 4b | 8 | 638 | 2 | 159 |
100
+ | 4c | 8 | 640 | 2 | 160 |
101
+ | 4d | 8 | 637 | 2 | 159 |
102
+ | 4e | 8 | 642 | 2 | 160 |
103
+ | 4f | 8 | 642 | 2 | 160 |
104
+ | 4g | 8 | 639 | 2 | 159 |
105
+ | 4h | 8 | 641 | 2 | 160 |
106
+ | 5 | 72 | 560 | 18 | 140 |
107
+ | 5a | 8 | 639 | 2 | 159 |
108
+ | 5b | 8 | 641 | 2 | 160 |
109
+ | 5c | 8 | 640 | 2 | 159 |
110
+ | 5d | 8 | 638 | 2 | 159 |
111
+ | 5e | 8 | 641 | 2 | 160 |
112
+ | 5f | 8 | 641 | 2 | 160 |
113
+ | 5g | 8 | 642 | 2 | 160 |
114
+ | 5h | 8 | 640 | 2 | 160 |
115
+ | 5i | 8 | 640 | 2 | 160 |
116
+ | 6 | 64 | 568 | 16 | 142 |
117
+ | 6a | 8 | 639 | 2 | 159 |
118
+ | 6b | 8 | 641 | 2 | 160 |
119
+ | 6c | 8 | 641 | 2 | 160 |
120
+ | 6d | 8 | 644 | 2 | 160 |
121
+ | 6e | 8 | 641 | 2 | 160 |
122
+ | 6f | 8 | 640 | 2 | 159 |
123
+ | 6g | 8 | 639 | 2 | 159 |
124
+ | 6h | 8 | 640 | 2 | 159 |
125
+ | 7 | 64 | 568 | 16 | 142 |
126
+ | 7a | 8 | 640 | 2 | 160 |
127
+ | 7b | 8 | 637 | 2 | 159 |
128
+ | 7c | 8 | 638 | 2 | 159 |
129
+ | 7d | 8 | 640 | 2 | 160 |
130
+ | 7e | 8 | 638 | 2 | 159 |
131
+ | 7f | 8 | 637 | 2 | 159 |
132
+ | 7g | 8 | 636 | 2 | 158 |
133
+ | 7h | 8 | 636 | 2 | 159 |
134
+ | 8 | 64 | 568 | 16 | 142 |
135
+ | 8a | 8 | 638 | 2 | 159 |
136
+ | 8b | 8 | 641 | 2 | 160 |
137
+ | 8c | 8 | 637 | 2 | 159 |
138
+ | 8d | 8 | 637 | 2 | 159 |
139
+ | 8e | 8 | 637 | 2 | 159 |
140
+ | 8f | 8 | 638 | 2 | 159 |
141
+ | 8g | 8 | 635 | 2 | 158 |
142
+ | 8h | 8 | 639 | 2 | 159 |
143
+ | 9 | 72 | 560 | 18 | 140 |
144
+ | 9a | 8 | 636 | 2 | 159 |
145
+ | 9b | 8 | 640 | 2 | 159 |
146
+ | 9c | 8 | 632 | 2 | 158 |
147
+ | 9d | 8 | 643 | 2 | 160 |
148
+ | 9e | 8 | 644 | 2 | 160 |
149
+ | 9f | 8 | 640 | 2 | 159 |
150
+ | 9g | 8 | 637 | 2 | 159 |
151
+ | 9h | 8 | 640 | 2 | 159 |
152
+ | 9i | 8 | 640 | 2 | 159 |
153
+ | SUM | 1264 | 56198 | 316 | 14009 |
154
 
155
  ### Citation Information
156
  ```
stats.csv CHANGED
@@ -1,91 +1,91 @@
1
  relation_type,positive (train),negative (train),positive (validation),negative (validation)
2
- 1,50,740,63,826
3
- 10,60,730,66,823
4
- 10a,10,799,14,894
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- 10b,10,797,13,893
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- 10c,10,800,11,898
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- 10d,10,799,10,898
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- 10e,10,795,8,896
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- 10f,10,799,10,898
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- 1a,10,797,14,892
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- 1b,10,797,14,892
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- 1c,10,800,11,898
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- 1d,10,797,16,890
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- 1e,10,794,8,895
15
- 2,100,690,117,772
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- 2a,10,799,15,893
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- 2b,10,796,11,894
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- 2c,10,798,13,894
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- 2d,10,798,10,897
20
- 2e,10,799,11,897
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- 2f,10,802,11,900
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- 2g,10,796,16,889
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- 2h,10,799,11,897
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- 2i,10,800,9,900
25
- 2j,10,801,10,900
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- 3,80,710,80,809
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- 3a,10,799,11,897
28
- 3b,10,802,11,900
29
- 3c,10,798,12,895
30
- 3d,10,798,14,893
31
- 3e,10,802,5,906
32
- 3f,10,803,11,901
33
- 3g,10,801,6,904
34
- 3h,10,801,10,900
35
- 4,80,710,82,807
36
- 4a,10,802,11,900
37
- 4b,10,797,7,899
38
- 4c,10,800,12,897
39
- 4d,10,796,4,901
40
- 4e,10,802,12,899
41
- 4f,10,802,9,902
42
- 4g,10,798,15,892
43
- 4h,10,801,12,898
44
- 5,90,700,105,784
45
- 5a,10,798,14,893
46
- 5b,10,801,8,902
47
- 5c,10,799,11,897
48
- 5d,10,797,15,891
49
- 5e,10,801,8,902
50
- 5f,10,801,11,899
51
- 5g,10,802,9,902
52
- 5h,10,800,15,894
53
- 5i,10,800,14,895
54
- 6,80,710,99,790
55
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56
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57
- 6c,10,801,13,897
58
- 6d,10,804,10,903
59
- 6e,10,801,11,899
60
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61
- 6g,10,798,12,895
62
- 6h,10,799,15,893
63
- 7,80,710,91,798
64
- 7a,10,800,14,895
65
- 7b,10,796,7,898
66
- 7c,10,797,11,895
67
- 7d,10,800,14,895
68
- 7e,10,797,10,896
69
- 7f,10,796,12,893
70
- 7g,10,794,9,894
71
- 7h,10,795,14,890
72
- 8,80,710,90,799
73
- 8a,10,797,14,892
74
- 8b,10,801,7,903
75
- 8c,10,796,12,893
76
- 8d,10,796,13,892
77
- 8e,10,796,11,894
78
- 8f,10,797,12,894
79
- 8g,10,793,7,895
80
- 8h,10,798,14,893
81
- 9,90,700,96,793
82
- 9a,10,795,14,890
83
- 9b,10,799,12,896
84
- 9c,10,790,7,892
85
- 9d,10,803,9,903
86
- 9e,10,804,8,905
87
- 9f,10,799,10,898
88
- 9g,10,796,14,891
89
- 9h,10,799,13,895
90
- 9i,10,799,9,899
91
- SUM,1580,70207,1778,78820
 
1
  relation_type,positive (train),negative (train),positive (validation),negative (validation)
2
+ 1,40,592,10,148
3
+ 10,48,584,12,146
4
+ 10a,8,640,2,159
5
+ 10b,8,638,2,159
6
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7
+ 10d,8,640,2,159
8
+ 10e,8,636,2,159
9
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+ 2,80,552,20,138
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+ 3,64,568,16,142
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30
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41
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48
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+ 5f,8,641,2,160
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53
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+ 6,64,568,16,142
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+ 6a,8,639,2,159
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+ 6b,8,641,2,160
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+ 6d,8,644,2,160
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+ 7,64,568,16,142
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+ 8,64,568,16,142
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+ 8b,8,641,2,160
75
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+ 8f,8,638,2,159
79
+ 8g,8,635,2,158
80
+ 8h,8,639,2,159
81
+ 9,72,560,18,140
82
+ 9a,8,636,2,159
83
+ 9b,8,640,2,159
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+ 9c,8,632,2,158
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+ 9d,8,643,2,160
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+ 9f,8,640,2,159
88
+ 9g,8,637,2,159
89
+ 9h,8,640,2,159
90
+ 9i,8,640,2,159
91
+ SUM,1264,56198,316,14009
stats.md CHANGED
@@ -1,92 +1,92 @@
1
  | relation_type | positive (train) | negative (train) | positive (validation) | negative (validation) |
2
  |:----------------|-------------------:|-------------------:|------------------------:|------------------------:|
3
- | 1 | 50 | 740 | 63 | 826 |
4
- | 10 | 60 | 730 | 66 | 823 |
5
- | 10a | 10 | 799 | 14 | 894 |
6
- | 10b | 10 | 797 | 13 | 893 |
7
- | 10c | 10 | 800 | 11 | 898 |
8
- | 10d | 10 | 799 | 10 | 898 |
9
- | 10e | 10 | 795 | 8 | 896 |
10
- | 10f | 10 | 799 | 10 | 898 |
11
- | 1a | 10 | 797 | 14 | 892 |
12
- | 1b | 10 | 797 | 14 | 892 |
13
- | 1c | 10 | 800 | 11 | 898 |
14
- | 1d | 10 | 797 | 16 | 890 |
15
- | 1e | 10 | 794 | 8 | 895 |
16
- | 2 | 100 | 690 | 117 | 772 |
17
- | 2a | 10 | 799 | 15 | 893 |
18
- | 2b | 10 | 796 | 11 | 894 |
19
- | 2c | 10 | 798 | 13 | 894 |
20
- | 2d | 10 | 798 | 10 | 897 |
21
- | 2e | 10 | 799 | 11 | 897 |
22
- | 2f | 10 | 802 | 11 | 900 |
23
- | 2g | 10 | 796 | 16 | 889 |
24
- | 2h | 10 | 799 | 11 | 897 |
25
- | 2i | 10 | 800 | 9 | 900 |
26
- | 2j | 10 | 801 | 10 | 900 |
27
- | 3 | 80 | 710 | 80 | 809 |
28
- | 3a | 10 | 799 | 11 | 897 |
29
- | 3b | 10 | 802 | 11 | 900 |
30
- | 3c | 10 | 798 | 12 | 895 |
31
- | 3d | 10 | 798 | 14 | 893 |
32
- | 3e | 10 | 802 | 5 | 906 |
33
- | 3f | 10 | 803 | 11 | 901 |
34
- | 3g | 10 | 801 | 6 | 904 |
35
- | 3h | 10 | 801 | 10 | 900 |
36
- | 4 | 80 | 710 | 82 | 807 |
37
- | 4a | 10 | 802 | 11 | 900 |
38
- | 4b | 10 | 797 | 7 | 899 |
39
- | 4c | 10 | 800 | 12 | 897 |
40
- | 4d | 10 | 796 | 4 | 901 |
41
- | 4e | 10 | 802 | 12 | 899 |
42
- | 4f | 10 | 802 | 9 | 902 |
43
- | 4g | 10 | 798 | 15 | 892 |
44
- | 4h | 10 | 801 | 12 | 898 |
45
- | 5 | 90 | 700 | 105 | 784 |
46
- | 5a | 10 | 798 | 14 | 893 |
47
- | 5b | 10 | 801 | 8 | 902 |
48
- | 5c | 10 | 799 | 11 | 897 |
49
- | 5d | 10 | 797 | 15 | 891 |
50
- | 5e | 10 | 801 | 8 | 902 |
51
- | 5f | 10 | 801 | 11 | 899 |
52
- | 5g | 10 | 802 | 9 | 902 |
53
- | 5h | 10 | 800 | 15 | 894 |
54
- | 5i | 10 | 800 | 14 | 895 |
55
- | 6 | 80 | 710 | 99 | 790 |
56
- | 6a | 10 | 798 | 15 | 892 |
57
- | 6b | 10 | 801 | 11 | 899 |
58
- | 6c | 10 | 801 | 13 | 897 |
59
- | 6d | 10 | 804 | 10 | 903 |
60
- | 6e | 10 | 801 | 11 | 899 |
61
- | 6f | 10 | 799 | 12 | 896 |
62
- | 6g | 10 | 798 | 12 | 895 |
63
- | 6h | 10 | 799 | 15 | 893 |
64
- | 7 | 80 | 710 | 91 | 798 |
65
- | 7a | 10 | 800 | 14 | 895 |
66
- | 7b | 10 | 796 | 7 | 898 |
67
- | 7c | 10 | 797 | 11 | 895 |
68
- | 7d | 10 | 800 | 14 | 895 |
69
- | 7e | 10 | 797 | 10 | 896 |
70
- | 7f | 10 | 796 | 12 | 893 |
71
- | 7g | 10 | 794 | 9 | 894 |
72
- | 7h | 10 | 795 | 14 | 890 |
73
- | 8 | 80 | 710 | 90 | 799 |
74
- | 8a | 10 | 797 | 14 | 892 |
75
- | 8b | 10 | 801 | 7 | 903 |
76
- | 8c | 10 | 796 | 12 | 893 |
77
- | 8d | 10 | 796 | 13 | 892 |
78
- | 8e | 10 | 796 | 11 | 894 |
79
- | 8f | 10 | 797 | 12 | 894 |
80
- | 8g | 10 | 793 | 7 | 895 |
81
- | 8h | 10 | 798 | 14 | 893 |
82
- | 9 | 90 | 700 | 96 | 793 |
83
- | 9a | 10 | 795 | 14 | 890 |
84
- | 9b | 10 | 799 | 12 | 896 |
85
- | 9c | 10 | 790 | 7 | 892 |
86
- | 9d | 10 | 803 | 9 | 903 |
87
- | 9e | 10 | 804 | 8 | 905 |
88
- | 9f | 10 | 799 | 10 | 898 |
89
- | 9g | 10 | 796 | 14 | 891 |
90
- | 9h | 10 | 799 | 13 | 895 |
91
- | 9i | 10 | 799 | 9 | 899 |
92
- | SUM | 1580 | 70207 | 1778 | 78820 |
 
1
  | relation_type | positive (train) | negative (train) | positive (validation) | negative (validation) |
2
  |:----------------|-------------------:|-------------------:|------------------------:|------------------------:|
3
+ | 1 | 40 | 592 | 10 | 148 |
4
+ | 10 | 48 | 584 | 12 | 146 |
5
+ | 10a | 8 | 640 | 2 | 159 |
6
+ | 10b | 8 | 638 | 2 | 159 |
7
+ | 10c | 8 | 640 | 2 | 160 |
8
+ | 10d | 8 | 640 | 2 | 159 |
9
+ | 10e | 8 | 636 | 2 | 159 |
10
+ | 10f | 8 | 640 | 2 | 159 |
11
+ | 1a | 8 | 638 | 2 | 159 |
12
+ | 1b | 8 | 638 | 2 | 159 |
13
+ | 1c | 8 | 640 | 2 | 160 |
14
+ | 1d | 8 | 638 | 2 | 159 |
15
+ | 1e | 8 | 636 | 2 | 158 |
16
+ | 2 | 80 | 552 | 20 | 138 |
17
+ | 2a | 8 | 640 | 2 | 159 |
18
+ | 2b | 8 | 637 | 2 | 159 |
19
+ | 2c | 8 | 639 | 2 | 159 |
20
+ | 2d | 8 | 639 | 2 | 159 |
21
+ | 2e | 8 | 640 | 2 | 159 |
22
+ | 2f | 8 | 642 | 2 | 160 |
23
+ | 2g | 8 | 637 | 2 | 159 |
24
+ | 2h | 8 | 640 | 2 | 159 |
25
+ | 2i | 8 | 640 | 2 | 160 |
26
+ | 2j | 8 | 641 | 2 | 160 |
27
+ | 3 | 64 | 568 | 16 | 142 |
28
+ | 3a | 8 | 640 | 2 | 159 |
29
+ | 3b | 8 | 642 | 2 | 160 |
30
+ | 3c | 8 | 639 | 2 | 159 |
31
+ | 3d | 8 | 639 | 2 | 159 |
32
+ | 3e | 8 | 642 | 2 | 160 |
33
+ | 3f | 8 | 643 | 2 | 160 |
34
+ | 3g | 8 | 641 | 2 | 160 |
35
+ | 3h | 8 | 641 | 2 | 160 |
36
+ | 4 | 64 | 568 | 16 | 142 |
37
+ | 4a | 8 | 642 | 2 | 160 |
38
+ | 4b | 8 | 638 | 2 | 159 |
39
+ | 4c | 8 | 640 | 2 | 160 |
40
+ | 4d | 8 | 637 | 2 | 159 |
41
+ | 4e | 8 | 642 | 2 | 160 |
42
+ | 4f | 8 | 642 | 2 | 160 |
43
+ | 4g | 8 | 639 | 2 | 159 |
44
+ | 4h | 8 | 641 | 2 | 160 |
45
+ | 5 | 72 | 560 | 18 | 140 |
46
+ | 5a | 8 | 639 | 2 | 159 |
47
+ | 5b | 8 | 641 | 2 | 160 |
48
+ | 5c | 8 | 640 | 2 | 159 |
49
+ | 5d | 8 | 638 | 2 | 159 |
50
+ | 5e | 8 | 641 | 2 | 160 |
51
+ | 5f | 8 | 641 | 2 | 160 |
52
+ | 5g | 8 | 642 | 2 | 160 |
53
+ | 5h | 8 | 640 | 2 | 160 |
54
+ | 5i | 8 | 640 | 2 | 160 |
55
+ | 6 | 64 | 568 | 16 | 142 |
56
+ | 6a | 8 | 639 | 2 | 159 |
57
+ | 6b | 8 | 641 | 2 | 160 |
58
+ | 6c | 8 | 641 | 2 | 160 |
59
+ | 6d | 8 | 644 | 2 | 160 |
60
+ | 6e | 8 | 641 | 2 | 160 |
61
+ | 6f | 8 | 640 | 2 | 159 |
62
+ | 6g | 8 | 639 | 2 | 159 |
63
+ | 6h | 8 | 640 | 2 | 159 |
64
+ | 7 | 64 | 568 | 16 | 142 |
65
+ | 7a | 8 | 640 | 2 | 160 |
66
+ | 7b | 8 | 637 | 2 | 159 |
67
+ | 7c | 8 | 638 | 2 | 159 |
68
+ | 7d | 8 | 640 | 2 | 160 |
69
+ | 7e | 8 | 638 | 2 | 159 |
70
+ | 7f | 8 | 637 | 2 | 159 |
71
+ | 7g | 8 | 636 | 2 | 158 |
72
+ | 7h | 8 | 636 | 2 | 159 |
73
+ | 8 | 64 | 568 | 16 | 142 |
74
+ | 8a | 8 | 638 | 2 | 159 |
75
+ | 8b | 8 | 641 | 2 | 160 |
76
+ | 8c | 8 | 637 | 2 | 159 |
77
+ | 8d | 8 | 637 | 2 | 159 |
78
+ | 8e | 8 | 637 | 2 | 159 |
79
+ | 8f | 8 | 638 | 2 | 159 |
80
+ | 8g | 8 | 635 | 2 | 158 |
81
+ | 8h | 8 | 639 | 2 | 159 |
82
+ | 9 | 72 | 560 | 18 | 140 |
83
+ | 9a | 8 | 636 | 2 | 159 |
84
+ | 9b | 8 | 640 | 2 | 159 |
85
+ | 9c | 8 | 632 | 2 | 158 |
86
+ | 9d | 8 | 643 | 2 | 160 |
87
+ | 9e | 8 | 644 | 2 | 160 |
88
+ | 9f | 8 | 640 | 2 | 159 |
89
+ | 9g | 8 | 637 | 2 | 159 |
90
+ | 9h | 8 | 640 | 2 | 159 |
91
+ | 9i | 8 | 640 | 2 | 159 |
92
+ | SUM | 1264 | 56198 | 316 | 14009 |