README
Browse files- .gitignore +1 -0
- README.md +249 -0
- dataset/train.jsonl +0 -0
- dataset/valid.jsonl +0 -0
- get_stats.py +44 -0
- process.py +187 -0
- semeval2012_relational_similarity_v3.py +84 -0
- stats.csv +169 -0
- stats.md +170 -0
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README.md
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| 1 |
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---
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| 2 |
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language:
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| 3 |
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- en
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| 4 |
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license:
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| 5 |
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- other
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| 6 |
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multilinguality:
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| 7 |
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- monolingual
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| 8 |
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size_categories:
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| 9 |
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- 1K<n<10K
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| 10 |
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pretty_name: SemEval2012 task 2 Relational Similarity
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| 11 |
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---
|
| 12 |
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# Dataset Card for "relbert/semeval2012_relational_similarity_v3"
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| 13 |
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## Dataset Description
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| 14 |
+
- **Repository:** [RelBERT](https://github.com/asahi417/relbert)
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| 15 |
+
- **Paper:** [https://aclanthology.org/S12-1047/](https://aclanthology.org/S12-1047/)
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| 16 |
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- **Dataset:** SemEval2012: Relational Similarity
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| 17 |
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|
| 18 |
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### Dataset Summary
|
| 19 |
+
|
| 20 |
+
***IMPORTANT***: This is the same dataset as [relbert/semeval2012_relational_similarity](https://huggingface.co/datasets/relbert/semeval2012_relational_similarity),
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| 21 |
+
but with a different dataset construction.
|
| 22 |
+
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| 23 |
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Relational similarity dataset from [SemEval2012 task 2](https://aclanthology.org/S12-1047/), compiled to fine-tune [RelBERT](https://github.com/asahi417/relbert) model.
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| 24 |
+
The dataset contains a list of positive and negative word pair from 89 pre-defined relations.
|
| 25 |
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The relation types are constructed on top of following 10 parent relation types.
|
| 26 |
+
```shell
|
| 27 |
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{
|
| 28 |
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1: "Class Inclusion", # Hypernym
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| 29 |
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2: "Part-Whole", # Meronym, Substance Meronym
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| 30 |
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3: "Similar", # Synonym, Co-hypornym
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| 31 |
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4: "Contrast", # Antonym
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| 32 |
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5: "Attribute", # Attribute, Event
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| 33 |
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6: "Non Attribute",
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| 34 |
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7: "Case Relation",
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| 35 |
+
8: "Cause-Purpose",
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| 36 |
+
9: "Space-Time",
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| 37 |
+
10: "Representation"
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| 38 |
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}
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| 39 |
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```
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| 40 |
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Each of the parent relation is further grouped into child relation types where the definition can be found [here](https://drive.google.com/file/d/0BzcZKTSeYL8VenY0QkVpZVpxYnc/view?resourcekey=0-ZP-UARfJj39PcLroibHPHw).
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| 41 |
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| 42 |
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| 43 |
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## Dataset Structure
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| 44 |
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### Data Instances
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| 45 |
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An example of `train` looks as follows.
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| 46 |
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```
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| 47 |
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{
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| 48 |
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'relation_type': '8d',
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| 49 |
+
'positives': [ [ "breathe", "live" ], [ "study", "learn" ], [ "speak", "communicate" ], ... ]
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| 50 |
+
'negatives': [ [ "starving", "hungry" ], [ "clean", "bathe" ], [ "hungry", "starving" ], ... ]
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| 51 |
+
}
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| 52 |
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```
|
| 53 |
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| 54 |
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### Data Splits
|
| 55 |
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| name |train|validation|
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| 56 |
+
|---------|----:|---------:|
|
| 57 |
+
|semeval2012_relational_similarity| 89 | 89|
|
| 58 |
+
|
| 59 |
+
|
| 60 |
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### Number of Positive/Negative Word-pairs in each Split
|
| 61 |
+
|
| 62 |
+
| relation_type | level | positive (train) | negative (train) | positive (validation) | negative (validation) |
|
| 63 |
+
|:----------------|:-------------------|-------------------:|-------------------:|------------------------:|------------------------:|
|
| 64 |
+
| 1 | parent | 110 | 680 | 129 | 760 |
|
| 65 |
+
| 10 | parent | 60 | 730 | 66 | 823 |
|
| 66 |
+
| 10a | child | 10 | 780 | 14 | 875 |
|
| 67 |
+
| 10a | child_prototypical | 1 | 18 | 1 | 22 |
|
| 68 |
+
| 10b | child | 10 | 780 | 13 | 876 |
|
| 69 |
+
| 10b | child_prototypical | 1 | 16 | 1 | 19 |
|
| 70 |
+
| 10c | child | 10 | 780 | 11 | 878 |
|
| 71 |
+
| 10c | child_prototypical | 1 | 19 | 1 | 20 |
|
| 72 |
+
| 10d | child_prototypical | 1 | 18 | 1 | 18 |
|
| 73 |
+
| 10d | child | 10 | 780 | 10 | 879 |
|
| 74 |
+
| 10e | child | 10 | 780 | 8 | 881 |
|
| 75 |
+
| 10e | child_prototypical | 1 | 14 | 1 | 12 |
|
| 76 |
+
| 10f | child | 10 | 780 | 10 | 879 |
|
| 77 |
+
| 10f | child_prototypical | 1 | 18 | 1 | 18 |
|
| 78 |
+
| 1a | child | 10 | 780 | 14 | 875 |
|
| 79 |
+
| 1a | child_prototypical | 1 | 16 | 1 | 20 |
|
| 80 |
+
| 1b | child | 10 | 780 | 14 | 875 |
|
| 81 |
+
| 1b | child_prototypical | 1 | 16 | 1 | 20 |
|
| 82 |
+
| 1c | child_prototypical | 1 | 19 | 1 | 20 |
|
| 83 |
+
| 1c | child | 10 | 780 | 11 | 878 |
|
| 84 |
+
| 1d | child | 10 | 780 | 16 | 873 |
|
| 85 |
+
| 1d | child_prototypical | 1 | 16 | 1 | 22 |
|
| 86 |
+
| 1e | child | 10 | 780 | 8 | 881 |
|
| 87 |
+
| 1e | child_prototypical | 1 | 13 | 1 | 11 |
|
| 88 |
+
| 2 | parent | 100 | 690 | 117 | 772 |
|
| 89 |
+
| 2a | child | 10 | 780 | 15 | 874 |
|
| 90 |
+
| 2a | child_prototypical | 1 | 18 | 1 | 23 |
|
| 91 |
+
| 2b | child_prototypical | 1 | 15 | 1 | 16 |
|
| 92 |
+
| 2b | child | 10 | 780 | 11 | 878 |
|
| 93 |
+
| 2c | child | 10 | 780 | 13 | 876 |
|
| 94 |
+
| 2c | child_prototypical | 1 | 17 | 1 | 20 |
|
| 95 |
+
| 2d | child | 10 | 780 | 10 | 879 |
|
| 96 |
+
| 2d | child_prototypical | 1 | 17 | 1 | 17 |
|
| 97 |
+
| 2e | child | 10 | 780 | 11 | 878 |
|
| 98 |
+
| 2e | child_prototypical | 1 | 18 | 1 | 19 |
|
| 99 |
+
| 2f | child | 10 | 780 | 11 | 878 |
|
| 100 |
+
| 2f | child_prototypical | 1 | 21 | 1 | 22 |
|
| 101 |
+
| 2g | child | 10 | 780 | 16 | 873 |
|
| 102 |
+
| 2g | child_prototypical | 1 | 15 | 1 | 21 |
|
| 103 |
+
| 2h | child_prototypical | 1 | 18 | 1 | 19 |
|
| 104 |
+
| 2h | child | 10 | 780 | 11 | 878 |
|
| 105 |
+
| 2i | child | 10 | 780 | 9 | 880 |
|
| 106 |
+
| 2i | child_prototypical | 1 | 19 | 1 | 18 |
|
| 107 |
+
| 2j | child | 10 | 780 | 10 | 879 |
|
| 108 |
+
| 2j | child_prototypical | 1 | 20 | 1 | 20 |
|
| 109 |
+
| 3 | parent | 80 | 710 | 80 | 809 |
|
| 110 |
+
| 3a | child | 10 | 780 | 11 | 878 |
|
| 111 |
+
| 3a | child_prototypical | 1 | 18 | 1 | 19 |
|
| 112 |
+
| 3b | child | 10 | 780 | 11 | 878 |
|
| 113 |
+
| 3b | child_prototypical | 1 | 21 | 1 | 22 |
|
| 114 |
+
| 3c | child_prototypical | 1 | 17 | 1 | 19 |
|
| 115 |
+
| 3c | child | 10 | 780 | 12 | 877 |
|
| 116 |
+
| 3d | child | 10 | 780 | 14 | 875 |
|
| 117 |
+
| 3d | child_prototypical | 1 | 17 | 1 | 21 |
|
| 118 |
+
| 3e | child | 10 | 780 | 5 | 884 |
|
| 119 |
+
| 3e | child_prototypical | 1 | 21 | 1 | 16 |
|
| 120 |
+
| 3f | child | 10 | 780 | 11 | 878 |
|
| 121 |
+
| 3f | child_prototypical | 1 | 22 | 1 | 23 |
|
| 122 |
+
| 3g | child | 10 | 780 | 6 | 883 |
|
| 123 |
+
| 3g | child_prototypical | 1 | 20 | 1 | 16 |
|
| 124 |
+
| 3h | child_prototypical | 1 | 20 | 1 | 20 |
|
| 125 |
+
| 3h | child | 10 | 780 | 10 | 879 |
|
| 126 |
+
| 4 | parent | 80 | 710 | 82 | 807 |
|
| 127 |
+
| 4a | child | 10 | 780 | 11 | 878 |
|
| 128 |
+
| 4a | child_prototypical | 1 | 21 | 1 | 22 |
|
| 129 |
+
| 4b | child | 10 | 780 | 7 | 882 |
|
| 130 |
+
| 4b | child_prototypical | 1 | 16 | 1 | 13 |
|
| 131 |
+
| 4c | child | 10 | 780 | 12 | 877 |
|
| 132 |
+
| 4c | child_prototypical | 1 | 19 | 1 | 21 |
|
| 133 |
+
| 4d | child_prototypical | 1 | 15 | 1 | 9 |
|
| 134 |
+
| 4d | child | 10 | 780 | 4 | 885 |
|
| 135 |
+
| 4e | child | 10 | 780 | 12 | 877 |
|
| 136 |
+
| 4e | child_prototypical | 1 | 21 | 1 | 23 |
|
| 137 |
+
| 4f | child | 10 | 780 | 9 | 880 |
|
| 138 |
+
| 4f | child_prototypical | 1 | 21 | 1 | 20 |
|
| 139 |
+
| 4g | child | 10 | 780 | 15 | 874 |
|
| 140 |
+
| 4g | child_prototypical | 1 | 17 | 1 | 22 |
|
| 141 |
+
| 4h | child_prototypical | 1 | 20 | 1 | 22 |
|
| 142 |
+
| 4h | child | 10 | 780 | 12 | 877 |
|
| 143 |
+
| 5 | parent | 90 | 700 | 105 | 784 |
|
| 144 |
+
| 5a | child | 10 | 780 | 14 | 875 |
|
| 145 |
+
| 5a | child_prototypical | 1 | 17 | 1 | 21 |
|
| 146 |
+
| 5b | child_prototypical | 1 | 20 | 1 | 18 |
|
| 147 |
+
| 5b | child | 10 | 780 | 8 | 881 |
|
| 148 |
+
| 5c | child | 10 | 780 | 11 | 878 |
|
| 149 |
+
| 5c | child_prototypical | 1 | 18 | 1 | 19 |
|
| 150 |
+
| 5d | child | 10 | 780 | 15 | 874 |
|
| 151 |
+
| 5d | child_prototypical | 1 | 16 | 1 | 21 |
|
| 152 |
+
| 5e | child | 10 | 780 | 8 | 881 |
|
| 153 |
+
| 5e | child_prototypical | 1 | 20 | 1 | 18 |
|
| 154 |
+
| 5f | child | 10 | 780 | 11 | 878 |
|
| 155 |
+
| 5f | child_prototypical | 1 | 20 | 1 | 21 |
|
| 156 |
+
| 5g | child_prototypical | 1 | 21 | 1 | 20 |
|
| 157 |
+
| 5g | child | 10 | 780 | 9 | 880 |
|
| 158 |
+
| 5h | child | 10 | 780 | 15 | 874 |
|
| 159 |
+
| 5h | child_prototypical | 1 | 19 | 1 | 24 |
|
| 160 |
+
| 5i | child | 10 | 780 | 14 | 875 |
|
| 161 |
+
| 5i | child_prototypical | 1 | 19 | 1 | 23 |
|
| 162 |
+
| 6 | parent | 80 | 710 | 99 | 790 |
|
| 163 |
+
| 6a | child | 10 | 780 | 15 | 874 |
|
| 164 |
+
| 6a | child_prototypical | 1 | 17 | 1 | 22 |
|
| 165 |
+
| 6b | child_prototypical | 1 | 20 | 1 | 21 |
|
| 166 |
+
| 6b | child | 10 | 780 | 11 | 878 |
|
| 167 |
+
| 6c | child_prototypical | 1 | 20 | 1 | 23 |
|
| 168 |
+
| 6c | child | 10 | 780 | 13 | 876 |
|
| 169 |
+
| 6d | child | 10 | 780 | 10 | 879 |
|
| 170 |
+
| 6d | child_prototypical | 1 | 23 | 1 | 23 |
|
| 171 |
+
| 6e | child | 10 | 780 | 11 | 878 |
|
| 172 |
+
| 6e | child_prototypical | 1 | 20 | 1 | 21 |
|
| 173 |
+
| 6f | child | 10 | 780 | 12 | 877 |
|
| 174 |
+
| 6f | child_prototypical | 1 | 18 | 1 | 20 |
|
| 175 |
+
| 6g | child | 10 | 780 | 12 | 877 |
|
| 176 |
+
| 6g | child_prototypical | 1 | 17 | 1 | 19 |
|
| 177 |
+
| 6h | child_prototypical | 1 | 18 | 1 | 23 |
|
| 178 |
+
| 6h | child | 10 | 780 | 15 | 874 |
|
| 179 |
+
| 7 | parent | 80 | 710 | 91 | 798 |
|
| 180 |
+
| 7a | child | 10 | 780 | 14 | 875 |
|
| 181 |
+
| 7a | child_prototypical | 1 | 19 | 1 | 23 |
|
| 182 |
+
| 7b | child | 10 | 780 | 7 | 882 |
|
| 183 |
+
| 7b | child_prototypical | 1 | 15 | 1 | 12 |
|
| 184 |
+
| 7c | child | 10 | 780 | 11 | 878 |
|
| 185 |
+
| 7c | child_prototypical | 1 | 16 | 1 | 17 |
|
| 186 |
+
| 7d | child_prototypical | 1 | 19 | 1 | 23 |
|
| 187 |
+
| 7d | child | 10 | 780 | 14 | 875 |
|
| 188 |
+
| 7e | child_prototypical | 1 | 16 | 1 | 16 |
|
| 189 |
+
| 7e | child | 10 | 780 | 10 | 879 |
|
| 190 |
+
| 7f | child | 10 | 780 | 12 | 877 |
|
| 191 |
+
| 7f | child_prototypical | 1 | 15 | 1 | 17 |
|
| 192 |
+
| 7g | child | 10 | 780 | 9 | 880 |
|
| 193 |
+
| 7g | child_prototypical | 1 | 13 | 1 | 12 |
|
| 194 |
+
| 7h | child | 10 | 780 | 14 | 875 |
|
| 195 |
+
| 7h | child_prototypical | 1 | 14 | 1 | 18 |
|
| 196 |
+
| 8 | parent | 80 | 710 | 90 | 799 |
|
| 197 |
+
| 8a | child | 10 | 780 | 14 | 875 |
|
| 198 |
+
| 8a | child_prototypical | 1 | 16 | 1 | 20 |
|
| 199 |
+
| 8b | child_prototypical | 1 | 20 | 1 | 17 |
|
| 200 |
+
| 8b | child | 10 | 780 | 7 | 882 |
|
| 201 |
+
| 8c | child | 10 | 780 | 12 | 877 |
|
| 202 |
+
| 8c | child_prototypical | 1 | 15 | 1 | 17 |
|
| 203 |
+
| 8d | child | 10 | 780 | 13 | 876 |
|
| 204 |
+
| 8d | child_prototypical | 1 | 15 | 1 | 18 |
|
| 205 |
+
| 8e | child | 10 | 780 | 11 | 878 |
|
| 206 |
+
| 8e | child_prototypical | 1 | 15 | 1 | 16 |
|
| 207 |
+
| 8f | child | 10 | 780 | 12 | 877 |
|
| 208 |
+
| 8f | child_prototypical | 1 | 16 | 1 | 18 |
|
| 209 |
+
| 8g | child_prototypical | 1 | 12 | 1 | 9 |
|
| 210 |
+
| 8g | child | 10 | 780 | 7 | 882 |
|
| 211 |
+
| 8h | child | 10 | 780 | 14 | 875 |
|
| 212 |
+
| 8h | child_prototypical | 1 | 17 | 1 | 21 |
|
| 213 |
+
| 9 | parent | 90 | 700 | 96 | 793 |
|
| 214 |
+
| 9a | child | 10 | 780 | 14 | 875 |
|
| 215 |
+
| 9a | child_prototypical | 1 | 14 | 1 | 18 |
|
| 216 |
+
| 9b | child | 10 | 780 | 12 | 877 |
|
| 217 |
+
| 9b | child_prototypical | 1 | 18 | 1 | 20 |
|
| 218 |
+
| 9c | child | 10 | 780 | 7 | 882 |
|
| 219 |
+
| 9c | child_prototypical | 1 | 9 | 1 | 6 |
|
| 220 |
+
| 9d | child_prototypical | 1 | 22 | 1 | 21 |
|
| 221 |
+
| 9d | child | 10 | 780 | 9 | 880 |
|
| 222 |
+
| 9e | child | 10 | 780 | 8 | 881 |
|
| 223 |
+
| 9e | child_prototypical | 1 | 23 | 1 | 21 |
|
| 224 |
+
| 9f | child | 10 | 780 | 10 | 879 |
|
| 225 |
+
| 9f | child_prototypical | 1 | 18 | 1 | 18 |
|
| 226 |
+
| 9g | child | 10 | 780 | 14 | 875 |
|
| 227 |
+
| 9g | child_prototypical | 1 | 15 | 1 | 19 |
|
| 228 |
+
| 9h | child | 10 | 780 | 13 | 876 |
|
| 229 |
+
| 9h | child_prototypical | 1 | 18 | 1 | 21 |
|
| 230 |
+
| 9i | child | 10 | 780 | 9 | 880 |
|
| 231 |
+
| 9i | child_prototypical | 1 | 18 | 1 | 17 |
|
| 232 |
+
|
| 233 |
+
### Citation Information
|
| 234 |
+
```
|
| 235 |
+
@inproceedings{jurgens-etal-2012-semeval,
|
| 236 |
+
title = "{S}em{E}val-2012 Task 2: Measuring Degrees of Relational Similarity",
|
| 237 |
+
author = "Jurgens, David and
|
| 238 |
+
Mohammad, Saif and
|
| 239 |
+
Turney, Peter and
|
| 240 |
+
Holyoak, Keith",
|
| 241 |
+
booktitle = "*{SEM} 2012: The First Joint Conference on Lexical and Computational Semantics {--} Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation ({S}em{E}val 2012)",
|
| 242 |
+
month = "7-8 " # jun,
|
| 243 |
+
year = "2012",
|
| 244 |
+
address = "Montr{\'e}al, Canada",
|
| 245 |
+
publisher = "Association for Computational Linguistics",
|
| 246 |
+
url = "https://aclanthology.org/S12-1047",
|
| 247 |
+
pages = "356--364",
|
| 248 |
+
}
|
| 249 |
+
```
|
dataset/train.jsonl
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
dataset/valid.jsonl
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
get_stats.py
ADDED
|
@@ -0,0 +1,44 @@
|
|
|
|
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|
|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import pandas as pd
|
| 2 |
+
from datasets import load_dataset
|
| 3 |
+
|
| 4 |
+
data = load_dataset('relbert/semeval2012_relational_similarity_v3')
|
| 5 |
+
stats = []
|
| 6 |
+
for k in data.keys():
|
| 7 |
+
for i in data[k]:
|
| 8 |
+
stats.append(
|
| 9 |
+
{
|
| 10 |
+
'relation_type': i['relation_type'],
|
| 11 |
+
'split': k,
|
| 12 |
+
'positives': len(i['positives']),
|
| 13 |
+
'negatives': len(i['negatives']),
|
| 14 |
+
'level': i['level']
|
| 15 |
+
})
|
| 16 |
+
df = pd.DataFrame(stats)
|
| 17 |
+
df_train = df[df['split'] == 'train']
|
| 18 |
+
df_valid = df[df['split'] == 'validation']
|
| 19 |
+
stats = []
|
| 20 |
+
for (relation_type, level), r in df.groupby(['relation_type', 'level']):
|
| 21 |
+
_df_t = r[r['split'] == 'train']
|
| 22 |
+
_df_v = r[r['split'] == 'validation']
|
| 23 |
+
stats.append({
|
| 24 |
+
'relation_type': relation_type,
|
| 25 |
+
'level': level,
|
| 26 |
+
'positive (train)': 0 if len(_df_t) == 0 else _df_t['positives'].values[0],
|
| 27 |
+
'negative (train)': 0 if len(_df_t) == 0 else _df_t['negatives'].values[0],
|
| 28 |
+
'positive (validation)': 0 if len(_df_v) == 0 else _df_v['positives'].values[0],
|
| 29 |
+
'negative (validation)': 0 if len(_df_v) == 0 else _df_v['negatives'].values[0],
|
| 30 |
+
})
|
| 31 |
+
|
| 32 |
+
df = pd.DataFrame(stats).sort_values(by=['relation_type'])
|
| 33 |
+
df.index = df.pop('relation_type')
|
| 34 |
+
# sum_pairs = df.sum(0)
|
| 35 |
+
# df = df.T
|
| 36 |
+
# df['SUM'] = sum_pairs
|
| 37 |
+
# df = df.T
|
| 38 |
+
|
| 39 |
+
df.to_csv('stats.csv')
|
| 40 |
+
with open('stats.md', 'w') as f:
|
| 41 |
+
f.write(df.to_markdown())
|
| 42 |
+
|
| 43 |
+
|
| 44 |
+
|
process.py
ADDED
|
@@ -0,0 +1,187 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import json
|
| 2 |
+
import os
|
| 3 |
+
import tarfile
|
| 4 |
+
import zipfile
|
| 5 |
+
import gzip
|
| 6 |
+
import requests
|
| 7 |
+
|
| 8 |
+
from glob import glob
|
| 9 |
+
import gdown
|
| 10 |
+
from random import seed, shuffle
|
| 11 |
+
|
| 12 |
+
|
| 13 |
+
validation_ratio = 0.2
|
| 14 |
+
k = 10 # the 3rd level negative-distance ranking
|
| 15 |
+
m = 5 # the 3rd level negative-distance ranking
|
| 16 |
+
top_n = 10 # threshold of positive pairs in the 1st and 2nd relation
|
| 17 |
+
seed(42)
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
def wget(url, cache_dir: str = './cache', gdrive_filename: str = None):
|
| 21 |
+
""" wget and uncompress data_iterator """
|
| 22 |
+
os.makedirs(cache_dir, exist_ok=True)
|
| 23 |
+
if url.startswith('https://drive.google.com'):
|
| 24 |
+
assert gdrive_filename is not None, 'please provide fileaname for gdrive download'
|
| 25 |
+
gdown.download(url, f'{cache_dir}/{gdrive_filename}', quiet=False)
|
| 26 |
+
filename = gdrive_filename
|
| 27 |
+
else:
|
| 28 |
+
filename = os.path.basename(url)
|
| 29 |
+
with open(f'{cache_dir}/{filename}', "wb") as f:
|
| 30 |
+
r = requests.get(url)
|
| 31 |
+
f.write(r.content)
|
| 32 |
+
path = f'{cache_dir}/{filename}'
|
| 33 |
+
|
| 34 |
+
if path.endswith('.tar.gz') or path.endswith('.tgz') or path.endswith('.tar'):
|
| 35 |
+
if path.endswith('.tar'):
|
| 36 |
+
tar = tarfile.open(path)
|
| 37 |
+
else:
|
| 38 |
+
tar = tarfile.open(path, "r:gz")
|
| 39 |
+
tar.extractall(cache_dir)
|
| 40 |
+
tar.close()
|
| 41 |
+
os.remove(path)
|
| 42 |
+
elif path.endswith('.zip'):
|
| 43 |
+
with zipfile.ZipFile(path, 'r') as zip_ref:
|
| 44 |
+
zip_ref.extractall(cache_dir)
|
| 45 |
+
os.remove(path)
|
| 46 |
+
elif path.endswith('.gz'):
|
| 47 |
+
with gzip.open(path, 'rb') as f:
|
| 48 |
+
with open(path.replace('.gz', ''), 'wb') as f_write:
|
| 49 |
+
f_write.write(f.read())
|
| 50 |
+
os.remove(path)
|
| 51 |
+
|
| 52 |
+
|
| 53 |
+
def get_training_data():
|
| 54 |
+
""" Get RelBERT training data
|
| 55 |
+
|
| 56 |
+
Returns
|
| 57 |
+
-------
|
| 58 |
+
pairs: dictionary of list (positive pairs, negative pairs)
|
| 59 |
+
{'1b': [[0.6, ('office', 'desk'), ..], [[-0.1, ('aaa', 'bbb'), ...]]
|
| 60 |
+
"""
|
| 61 |
+
cache_dir = 'cache'
|
| 62 |
+
os.makedirs(cache_dir, exist_ok=True)
|
| 63 |
+
remove_relation = None
|
| 64 |
+
path_answer = f'{cache_dir}/Phase2Answers'
|
| 65 |
+
path_scale = f'{cache_dir}/Phase2AnswersScaled'
|
| 66 |
+
url = 'https://drive.google.com/u/0/uc?id=0BzcZKTSeYL8VYWtHVmxUR3FyUmc&export=download'
|
| 67 |
+
filename = 'SemEval-2012-Platinum-Ratings.tar.gz'
|
| 68 |
+
if not (os.path.exists(path_scale) and os.path.exists(path_answer)):
|
| 69 |
+
wget(url, gdrive_filename=filename, cache_dir=cache_dir)
|
| 70 |
+
files_answer = [os.path.basename(i) for i in glob(f'{path_answer}/*.txt')]
|
| 71 |
+
files_scale = [os.path.basename(i) for i in glob(f'{path_scale}/*.txt')]
|
| 72 |
+
assert files_answer == files_scale, f'files are not matched: {files_scale} vs {files_answer}'
|
| 73 |
+
positives = {}
|
| 74 |
+
negatives = {}
|
| 75 |
+
positives_limit = {}
|
| 76 |
+
all_relation_type = {}
|
| 77 |
+
# score_range = [90.0, 88.7] # the absolute value of max/min prototypicality rating
|
| 78 |
+
for i in files_scale:
|
| 79 |
+
relation_id = i.split('-')[-1].replace('.txt', '')
|
| 80 |
+
if remove_relation and int(relation_id[:-1]) in remove_relation:
|
| 81 |
+
continue
|
| 82 |
+
with open(f'{path_answer}/{i}', 'r') as f:
|
| 83 |
+
lines_answer = [_l.replace('"', '').split('\t') for _l in f.read().split('\n')
|
| 84 |
+
if not _l.startswith('#') and len(_l)]
|
| 85 |
+
relation_type = list(set(list(zip(*lines_answer))[-1]))
|
| 86 |
+
assert len(relation_type) == 1, relation_type
|
| 87 |
+
relation_type = relation_type[0]
|
| 88 |
+
with open(f'{path_scale}/{i}', 'r') as f:
|
| 89 |
+
# list of tuple [score, ("a", "b")]
|
| 90 |
+
scales = [[float(_l[:5]), _l[6:].replace('"', '')] for _l in f.read().split('\n')
|
| 91 |
+
if not _l.startswith('#') and len(_l)]
|
| 92 |
+
scales = sorted(scales, key=lambda _x: _x[0])
|
| 93 |
+
# positive pairs are in the reverse order of prototypicality score
|
| 94 |
+
positive_pairs = [[s, tuple(p.split(':'))] for s, p in filter(lambda _x: _x[0] > 0, scales)]
|
| 95 |
+
positive_pairs = sorted(positive_pairs, key=lambda x: x[0], reverse=True)
|
| 96 |
+
positives[relation_id] = list(list(zip(*positive_pairs))[1])
|
| 97 |
+
positives_limit[relation_id] = list(list(zip(*positive_pairs[:min(top_n, len(positive_pairs))]))[1])
|
| 98 |
+
negatives[relation_id] = [tuple(p.split(':')) for s, p in filter(lambda _x: _x[0] < 0, scales)]
|
| 99 |
+
all_relation_type[relation_id] = relation_type
|
| 100 |
+
parent = list(set([i[:-1] for i in all_relation_type.keys()]))
|
| 101 |
+
|
| 102 |
+
# 1st level relation contrast (among parent relations)
|
| 103 |
+
relation_pairs_1st = []
|
| 104 |
+
relation_pairs_1st_validation = []
|
| 105 |
+
for p in parent:
|
| 106 |
+
child_positive = list(filter(lambda x: x.startswith(p), list(all_relation_type.keys())))
|
| 107 |
+
child_negative = list(filter(lambda x: not x.startswith(p), list(all_relation_type.keys())))
|
| 108 |
+
positive_pairs = []
|
| 109 |
+
negative_pairs = []
|
| 110 |
+
for c in child_positive:
|
| 111 |
+
positive_pairs += positives_limit[c]
|
| 112 |
+
for c in child_negative:
|
| 113 |
+
negative_pairs += positives_limit[c]
|
| 114 |
+
|
| 115 |
+
shuffle(positive_pairs)
|
| 116 |
+
positive_pairs_val = positive_pairs[:int(len(positive_pairs) * validation_ratio)]
|
| 117 |
+
positive_pairs_tra = positive_pairs[int(len(positive_pairs) * validation_ratio):]
|
| 118 |
+
|
| 119 |
+
shuffle(negative_pairs)
|
| 120 |
+
negative_pairs_val = positive_pairs[:int(len(negative_pairs) * validation_ratio)]
|
| 121 |
+
negative_pairs_tra = positive_pairs[int(len(negative_pairs) * validation_ratio):]
|
| 122 |
+
|
| 123 |
+
relation_pairs_1st += [{
|
| 124 |
+
"positives": positive_pairs_tra, "negatives": negative_pairs_tra, "relation_type": p, "level": "parent"
|
| 125 |
+
}]
|
| 126 |
+
relation_pairs_1st_validation += [{
|
| 127 |
+
"positives": positive_pairs_val, "negatives": negative_pairs_val, "relation_type": p, "level": "parent"
|
| 128 |
+
}]
|
| 129 |
+
|
| 130 |
+
# 2nd level relation contrast (among child relations) & 3rd level relation contrast (within child relations)
|
| 131 |
+
relation_pairs_2nd = []
|
| 132 |
+
relation_pairs_2nd_validation = []
|
| 133 |
+
for p in all_relation_type.keys():
|
| 134 |
+
positive_pairs = positives_limit[p]
|
| 135 |
+
negative_pairs = []
|
| 136 |
+
for n in all_relation_type.keys():
|
| 137 |
+
if p == n:
|
| 138 |
+
continue
|
| 139 |
+
negative_pairs += positives[n]
|
| 140 |
+
|
| 141 |
+
shuffle(positive_pairs)
|
| 142 |
+
positive_pairs_val = positive_pairs[:int(len(positive_pairs) * validation_ratio)]
|
| 143 |
+
positive_pairs_tra = positive_pairs[int(len(positive_pairs) * validation_ratio):]
|
| 144 |
+
|
| 145 |
+
shuffle(negative_pairs)
|
| 146 |
+
negative_pairs_val = positive_pairs[:int(len(negative_pairs) * validation_ratio)]
|
| 147 |
+
negative_pairs_tra = positive_pairs[int(len(negative_pairs) * validation_ratio):]
|
| 148 |
+
|
| 149 |
+
relation_pairs_2nd += [{
|
| 150 |
+
"positives": positive_pairs_tra, "negatives": negative_pairs_tra, "relation_type": p, "level": "child"
|
| 151 |
+
}]
|
| 152 |
+
relation_pairs_2nd_validation += [{
|
| 153 |
+
"positives": positive_pairs_val, "negatives": negative_pairs_val, "relation_type": p, "level": "child"
|
| 154 |
+
}]
|
| 155 |
+
|
| 156 |
+
relation_pairs_3rd = []
|
| 157 |
+
for p in all_relation_type.keys():
|
| 158 |
+
positive_pairs = positives[p]
|
| 159 |
+
negative_pairs = positive_pairs + negatives[p]
|
| 160 |
+
for n, anchor in enumerate(positive_pairs):
|
| 161 |
+
if n > m:
|
| 162 |
+
continue
|
| 163 |
+
for _n, posi in enumerate(positive_pairs):
|
| 164 |
+
if n < _n and len(negative_pairs) > _n + k:
|
| 165 |
+
relation_pairs_3rd += [{
|
| 166 |
+
"positives": [(anchor, posi)],
|
| 167 |
+
"negatives": [(anchor, neg) for neg in negative_pairs[_n+k:]],
|
| 168 |
+
"relation_type": p,
|
| 169 |
+
"level": "child_prototypical"
|
| 170 |
+
}]
|
| 171 |
+
shuffle(relation_pairs_3rd)
|
| 172 |
+
relation_pairs_3rd_validation = relation_pairs_3rd[:int(len(relation_pairs_3rd)*validation_ratio)]
|
| 173 |
+
relation_pairs_3rd = relation_pairs_3rd[int(len(relation_pairs_3rd) * validation_ratio):]
|
| 174 |
+
|
| 175 |
+
train = relation_pairs_1st + relation_pairs_2nd + relation_pairs_3rd
|
| 176 |
+
validation = relation_pairs_1st_validation + relation_pairs_2nd_validation + relation_pairs_3rd_validation
|
| 177 |
+
return train, validation
|
| 178 |
+
|
| 179 |
+
|
| 180 |
+
if __name__ == '__main__':
|
| 181 |
+
data_train, data_validation = get_training_data()
|
| 182 |
+
print(f"- training data : {len(data_train)}")
|
| 183 |
+
print(f"- validation data : {len(data_validation)}")
|
| 184 |
+
with open('dataset/train.jsonl', 'w') as f_writer:
|
| 185 |
+
f_writer.write('\n'.join([json.dumps(i) for i in data_train]))
|
| 186 |
+
with open('dataset/valid.jsonl', 'w') as f_writer:
|
| 187 |
+
f_writer.write('\n'.join([json.dumps(i) for i in data_validation]))
|
semeval2012_relational_similarity_v3.py
ADDED
|
@@ -0,0 +1,84 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import json
|
| 2 |
+
import datasets
|
| 3 |
+
|
| 4 |
+
|
| 5 |
+
logger = datasets.logging.get_logger(__name__)
|
| 6 |
+
_DESCRIPTION = """[SemEVAL 2012 task 2: Relational Similarity](https://aclanthology.org/S12-1047/)"""
|
| 7 |
+
_NAME = "semeval2012_relational_similarity_v3"
|
| 8 |
+
_VERSION = "1.1.0"
|
| 9 |
+
_CITATION = """
|
| 10 |
+
@inproceedings{jurgens-etal-2012-semeval,
|
| 11 |
+
title = "{S}em{E}val-2012 Task 2: Measuring Degrees of Relational Similarity",
|
| 12 |
+
author = "Jurgens, David and
|
| 13 |
+
Mohammad, Saif and
|
| 14 |
+
Turney, Peter and
|
| 15 |
+
Holyoak, Keith",
|
| 16 |
+
booktitle = "*{SEM} 2012: The First Joint Conference on Lexical and Computational Semantics {--} Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation ({S}em{E}val 2012)",
|
| 17 |
+
month = "7-8 " # jun,
|
| 18 |
+
year = "2012",
|
| 19 |
+
address = "Montr{\'e}al, Canada",
|
| 20 |
+
publisher = "Association for Computational Linguistics",
|
| 21 |
+
url = "https://aclanthology.org/S12-1047",
|
| 22 |
+
pages = "356--364",
|
| 23 |
+
}
|
| 24 |
+
"""
|
| 25 |
+
|
| 26 |
+
_HOME_PAGE = "https://github.com/asahi417/relbert"
|
| 27 |
+
_URL = f'https://huggingface.co/datasets/relbert/{_NAME}/raw/main/dataset'
|
| 28 |
+
_URLS = {
|
| 29 |
+
str(datasets.Split.TRAIN): [f'{_URL}/train.jsonl'],
|
| 30 |
+
str(datasets.Split.VALIDATION): [f'{_URL}/valid.jsonl'],
|
| 31 |
+
}
|
| 32 |
+
|
| 33 |
+
|
| 34 |
+
class SemEVAL2012RelationalSimilarityV3Config(datasets.BuilderConfig):
|
| 35 |
+
"""BuilderConfig"""
|
| 36 |
+
|
| 37 |
+
def __init__(self, **kwargs):
|
| 38 |
+
"""BuilderConfig.
|
| 39 |
+
Args:
|
| 40 |
+
**kwargs: keyword arguments forwarded to super.
|
| 41 |
+
"""
|
| 42 |
+
super(SemEVAL2012RelationalSimilarityV3Config, self).__init__(**kwargs)
|
| 43 |
+
|
| 44 |
+
|
| 45 |
+
class SemEVAL2012RelationalSimilarityV3(datasets.GeneratorBasedBuilder):
|
| 46 |
+
"""Dataset."""
|
| 47 |
+
|
| 48 |
+
BUILDER_CONFIGS = [
|
| 49 |
+
SemEVAL2012RelationalSimilarityV3Config(
|
| 50 |
+
name=_NAME, version=datasets.Version(_VERSION), description=_DESCRIPTION
|
| 51 |
+
),
|
| 52 |
+
]
|
| 53 |
+
|
| 54 |
+
def _split_generators(self, dl_manager):
|
| 55 |
+
downloaded_file = dl_manager.download_and_extract(_URLS)
|
| 56 |
+
return [datasets.SplitGenerator(name=i, gen_kwargs={"filepaths": downloaded_file[str(i)]})
|
| 57 |
+
for i in [datasets.Split.TRAIN, datasets.Split.VALIDATION]]
|
| 58 |
+
|
| 59 |
+
def _generate_examples(self, filepaths):
|
| 60 |
+
_key = 0
|
| 61 |
+
for filepath in filepaths:
|
| 62 |
+
logger.info(f"generating examples from = {filepath}")
|
| 63 |
+
with open(filepath, encoding="utf-8") as f:
|
| 64 |
+
_list = [i for i in f.read().split('\n') if len(i) > 0]
|
| 65 |
+
for i in _list:
|
| 66 |
+
data = json.loads(i)
|
| 67 |
+
yield _key, data
|
| 68 |
+
_key += 1
|
| 69 |
+
|
| 70 |
+
def _info(self):
|
| 71 |
+
return datasets.DatasetInfo(
|
| 72 |
+
description=_DESCRIPTION,
|
| 73 |
+
features=datasets.Features(
|
| 74 |
+
{
|
| 75 |
+
"level": datasets.Value("string"),
|
| 76 |
+
"relation_type": datasets.Value("string"),
|
| 77 |
+
"positives": datasets.Sequence(datasets.Sequence(datasets.Value("string"))),
|
| 78 |
+
"negatives": datasets.Sequence(datasets.Sequence(datasets.Value("string"))),
|
| 79 |
+
}
|
| 80 |
+
),
|
| 81 |
+
supervised_keys=None,
|
| 82 |
+
homepage=_HOME_PAGE,
|
| 83 |
+
citation=_CITATION,
|
| 84 |
+
)
|
stats.csv
ADDED
|
@@ -0,0 +1,169 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
relation_type,level,positive (train),negative (train),positive (validation),negative (validation)
|
| 2 |
+
1,parent,110,680,129,760
|
| 3 |
+
10,parent,60,730,66,823
|
| 4 |
+
10a,child,10,780,14,875
|
| 5 |
+
10a,child_prototypical,1,18,1,22
|
| 6 |
+
10b,child,10,780,13,876
|
| 7 |
+
10b,child_prototypical,1,16,1,19
|
| 8 |
+
10c,child,10,780,11,878
|
| 9 |
+
10c,child_prototypical,1,19,1,20
|
| 10 |
+
10d,child_prototypical,1,18,1,18
|
| 11 |
+
10d,child,10,780,10,879
|
| 12 |
+
10e,child,10,780,8,881
|
| 13 |
+
10e,child_prototypical,1,14,1,12
|
| 14 |
+
10f,child,10,780,10,879
|
| 15 |
+
10f,child_prototypical,1,18,1,18
|
| 16 |
+
1a,child,10,780,14,875
|
| 17 |
+
1a,child_prototypical,1,16,1,20
|
| 18 |
+
1b,child,10,780,14,875
|
| 19 |
+
1b,child_prototypical,1,16,1,20
|
| 20 |
+
1c,child_prototypical,1,19,1,20
|
| 21 |
+
1c,child,10,780,11,878
|
| 22 |
+
1d,child,10,780,16,873
|
| 23 |
+
1d,child_prototypical,1,16,1,22
|
| 24 |
+
1e,child,10,780,8,881
|
| 25 |
+
1e,child_prototypical,1,13,1,11
|
| 26 |
+
2,parent,100,690,117,772
|
| 27 |
+
2a,child,10,780,15,874
|
| 28 |
+
2a,child_prototypical,1,18,1,23
|
| 29 |
+
2b,child_prototypical,1,15,1,16
|
| 30 |
+
2b,child,10,780,11,878
|
| 31 |
+
2c,child,10,780,13,876
|
| 32 |
+
2c,child_prototypical,1,17,1,20
|
| 33 |
+
2d,child,10,780,10,879
|
| 34 |
+
2d,child_prototypical,1,17,1,17
|
| 35 |
+
2e,child,10,780,11,878
|
| 36 |
+
2e,child_prototypical,1,18,1,19
|
| 37 |
+
2f,child,10,780,11,878
|
| 38 |
+
2f,child_prototypical,1,21,1,22
|
| 39 |
+
2g,child,10,780,16,873
|
| 40 |
+
2g,child_prototypical,1,15,1,21
|
| 41 |
+
2h,child_prototypical,1,18,1,19
|
| 42 |
+
2h,child,10,780,11,878
|
| 43 |
+
2i,child,10,780,9,880
|
| 44 |
+
2i,child_prototypical,1,19,1,18
|
| 45 |
+
2j,child,10,780,10,879
|
| 46 |
+
2j,child_prototypical,1,20,1,20
|
| 47 |
+
3,parent,80,710,80,809
|
| 48 |
+
3a,child,10,780,11,878
|
| 49 |
+
3a,child_prototypical,1,18,1,19
|
| 50 |
+
3b,child,10,780,11,878
|
| 51 |
+
3b,child_prototypical,1,21,1,22
|
| 52 |
+
3c,child_prototypical,1,17,1,19
|
| 53 |
+
3c,child,10,780,12,877
|
| 54 |
+
3d,child,10,780,14,875
|
| 55 |
+
3d,child_prototypical,1,17,1,21
|
| 56 |
+
3e,child,10,780,5,884
|
| 57 |
+
3e,child_prototypical,1,21,1,16
|
| 58 |
+
3f,child,10,780,11,878
|
| 59 |
+
3f,child_prototypical,1,22,1,23
|
| 60 |
+
3g,child,10,780,6,883
|
| 61 |
+
3g,child_prototypical,1,20,1,16
|
| 62 |
+
3h,child_prototypical,1,20,1,20
|
| 63 |
+
3h,child,10,780,10,879
|
| 64 |
+
4,parent,80,710,82,807
|
| 65 |
+
4a,child,10,780,11,878
|
| 66 |
+
4a,child_prototypical,1,21,1,22
|
| 67 |
+
4b,child,10,780,7,882
|
| 68 |
+
4b,child_prototypical,1,16,1,13
|
| 69 |
+
4c,child,10,780,12,877
|
| 70 |
+
4c,child_prototypical,1,19,1,21
|
| 71 |
+
4d,child_prototypical,1,15,1,9
|
| 72 |
+
4d,child,10,780,4,885
|
| 73 |
+
4e,child,10,780,12,877
|
| 74 |
+
4e,child_prototypical,1,21,1,23
|
| 75 |
+
4f,child,10,780,9,880
|
| 76 |
+
4f,child_prototypical,1,21,1,20
|
| 77 |
+
4g,child,10,780,15,874
|
| 78 |
+
4g,child_prototypical,1,17,1,22
|
| 79 |
+
4h,child_prototypical,1,20,1,22
|
| 80 |
+
4h,child,10,780,12,877
|
| 81 |
+
5,parent,90,700,105,784
|
| 82 |
+
5a,child,10,780,14,875
|
| 83 |
+
5a,child_prototypical,1,17,1,21
|
| 84 |
+
5b,child_prototypical,1,20,1,18
|
| 85 |
+
5b,child,10,780,8,881
|
| 86 |
+
5c,child,10,780,11,878
|
| 87 |
+
5c,child_prototypical,1,18,1,19
|
| 88 |
+
5d,child,10,780,15,874
|
| 89 |
+
5d,child_prototypical,1,16,1,21
|
| 90 |
+
5e,child,10,780,8,881
|
| 91 |
+
5e,child_prototypical,1,20,1,18
|
| 92 |
+
5f,child,10,780,11,878
|
| 93 |
+
5f,child_prototypical,1,20,1,21
|
| 94 |
+
5g,child_prototypical,1,21,1,20
|
| 95 |
+
5g,child,10,780,9,880
|
| 96 |
+
5h,child,10,780,15,874
|
| 97 |
+
5h,child_prototypical,1,19,1,24
|
| 98 |
+
5i,child,10,780,14,875
|
| 99 |
+
5i,child_prototypical,1,19,1,23
|
| 100 |
+
6,parent,80,710,99,790
|
| 101 |
+
6a,child,10,780,15,874
|
| 102 |
+
6a,child_prototypical,1,17,1,22
|
| 103 |
+
6b,child_prototypical,1,20,1,21
|
| 104 |
+
6b,child,10,780,11,878
|
| 105 |
+
6c,child_prototypical,1,20,1,23
|
| 106 |
+
6c,child,10,780,13,876
|
| 107 |
+
6d,child,10,780,10,879
|
| 108 |
+
6d,child_prototypical,1,23,1,23
|
| 109 |
+
6e,child,10,780,11,878
|
| 110 |
+
6e,child_prototypical,1,20,1,21
|
| 111 |
+
6f,child,10,780,12,877
|
| 112 |
+
6f,child_prototypical,1,18,1,20
|
| 113 |
+
6g,child,10,780,12,877
|
| 114 |
+
6g,child_prototypical,1,17,1,19
|
| 115 |
+
6h,child_prototypical,1,18,1,23
|
| 116 |
+
6h,child,10,780,15,874
|
| 117 |
+
7,parent,80,710,91,798
|
| 118 |
+
7a,child,10,780,14,875
|
| 119 |
+
7a,child_prototypical,1,19,1,23
|
| 120 |
+
7b,child,10,780,7,882
|
| 121 |
+
7b,child_prototypical,1,15,1,12
|
| 122 |
+
7c,child,10,780,11,878
|
| 123 |
+
7c,child_prototypical,1,16,1,17
|
| 124 |
+
7d,child_prototypical,1,19,1,23
|
| 125 |
+
7d,child,10,780,14,875
|
| 126 |
+
7e,child_prototypical,1,16,1,16
|
| 127 |
+
7e,child,10,780,10,879
|
| 128 |
+
7f,child,10,780,12,877
|
| 129 |
+
7f,child_prototypical,1,15,1,17
|
| 130 |
+
7g,child,10,780,9,880
|
| 131 |
+
7g,child_prototypical,1,13,1,12
|
| 132 |
+
7h,child,10,780,14,875
|
| 133 |
+
7h,child_prototypical,1,14,1,18
|
| 134 |
+
8,parent,80,710,90,799
|
| 135 |
+
8a,child,10,780,14,875
|
| 136 |
+
8a,child_prototypical,1,16,1,20
|
| 137 |
+
8b,child_prototypical,1,20,1,17
|
| 138 |
+
8b,child,10,780,7,882
|
| 139 |
+
8c,child,10,780,12,877
|
| 140 |
+
8c,child_prototypical,1,15,1,17
|
| 141 |
+
8d,child,10,780,13,876
|
| 142 |
+
8d,child_prototypical,1,15,1,18
|
| 143 |
+
8e,child,10,780,11,878
|
| 144 |
+
8e,child_prototypical,1,15,1,16
|
| 145 |
+
8f,child,10,780,12,877
|
| 146 |
+
8f,child_prototypical,1,16,1,18
|
| 147 |
+
8g,child_prototypical,1,12,1,9
|
| 148 |
+
8g,child,10,780,7,882
|
| 149 |
+
8h,child,10,780,14,875
|
| 150 |
+
8h,child_prototypical,1,17,1,21
|
| 151 |
+
9,parent,90,700,96,793
|
| 152 |
+
9a,child,10,780,14,875
|
| 153 |
+
9a,child_prototypical,1,14,1,18
|
| 154 |
+
9b,child,10,780,12,877
|
| 155 |
+
9b,child_prototypical,1,18,1,20
|
| 156 |
+
9c,child,10,780,7,882
|
| 157 |
+
9c,child_prototypical,1,9,1,6
|
| 158 |
+
9d,child_prototypical,1,22,1,21
|
| 159 |
+
9d,child,10,780,9,880
|
| 160 |
+
9e,child,10,780,8,881
|
| 161 |
+
9e,child_prototypical,1,23,1,21
|
| 162 |
+
9f,child,10,780,10,879
|
| 163 |
+
9f,child_prototypical,1,18,1,18
|
| 164 |
+
9g,child,10,780,14,875
|
| 165 |
+
9g,child_prototypical,1,15,1,19
|
| 166 |
+
9h,child,10,780,13,876
|
| 167 |
+
9h,child_prototypical,1,18,1,21
|
| 168 |
+
9i,child,10,780,9,880
|
| 169 |
+
9i,child_prototypical,1,18,1,17
|
stats.md
ADDED
|
@@ -0,0 +1,170 @@
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|
| 1 |
+
| relation_type | level | positive (train) | negative (train) | positive (validation) | negative (validation) |
|
| 2 |
+
|:----------------|:-------------------|-------------------:|-------------------:|------------------------:|------------------------:|
|
| 3 |
+
| 1 | parent | 110 | 680 | 129 | 760 |
|
| 4 |
+
| 10 | parent | 60 | 730 | 66 | 823 |
|
| 5 |
+
| 10a | child | 10 | 780 | 14 | 875 |
|
| 6 |
+
| 10a | child_prototypical | 1 | 18 | 1 | 22 |
|
| 7 |
+
| 10b | child | 10 | 780 | 13 | 876 |
|
| 8 |
+
| 10b | child_prototypical | 1 | 16 | 1 | 19 |
|
| 9 |
+
| 10c | child | 10 | 780 | 11 | 878 |
|
| 10 |
+
| 10c | child_prototypical | 1 | 19 | 1 | 20 |
|
| 11 |
+
| 10d | child_prototypical | 1 | 18 | 1 | 18 |
|
| 12 |
+
| 10d | child | 10 | 780 | 10 | 879 |
|
| 13 |
+
| 10e | child | 10 | 780 | 8 | 881 |
|
| 14 |
+
| 10e | child_prototypical | 1 | 14 | 1 | 12 |
|
| 15 |
+
| 10f | child | 10 | 780 | 10 | 879 |
|
| 16 |
+
| 10f | child_prototypical | 1 | 18 | 1 | 18 |
|
| 17 |
+
| 1a | child | 10 | 780 | 14 | 875 |
|
| 18 |
+
| 1a | child_prototypical | 1 | 16 | 1 | 20 |
|
| 19 |
+
| 1b | child | 10 | 780 | 14 | 875 |
|
| 20 |
+
| 1b | child_prototypical | 1 | 16 | 1 | 20 |
|
| 21 |
+
| 1c | child_prototypical | 1 | 19 | 1 | 20 |
|
| 22 |
+
| 1c | child | 10 | 780 | 11 | 878 |
|
| 23 |
+
| 1d | child | 10 | 780 | 16 | 873 |
|
| 24 |
+
| 1d | child_prototypical | 1 | 16 | 1 | 22 |
|
| 25 |
+
| 1e | child | 10 | 780 | 8 | 881 |
|
| 26 |
+
| 1e | child_prototypical | 1 | 13 | 1 | 11 |
|
| 27 |
+
| 2 | parent | 100 | 690 | 117 | 772 |
|
| 28 |
+
| 2a | child | 10 | 780 | 15 | 874 |
|
| 29 |
+
| 2a | child_prototypical | 1 | 18 | 1 | 23 |
|
| 30 |
+
| 2b | child_prototypical | 1 | 15 | 1 | 16 |
|
| 31 |
+
| 2b | child | 10 | 780 | 11 | 878 |
|
| 32 |
+
| 2c | child | 10 | 780 | 13 | 876 |
|
| 33 |
+
| 2c | child_prototypical | 1 | 17 | 1 | 20 |
|
| 34 |
+
| 2d | child | 10 | 780 | 10 | 879 |
|
| 35 |
+
| 2d | child_prototypical | 1 | 17 | 1 | 17 |
|
| 36 |
+
| 2e | child | 10 | 780 | 11 | 878 |
|
| 37 |
+
| 2e | child_prototypical | 1 | 18 | 1 | 19 |
|
| 38 |
+
| 2f | child | 10 | 780 | 11 | 878 |
|
| 39 |
+
| 2f | child_prototypical | 1 | 21 | 1 | 22 |
|
| 40 |
+
| 2g | child | 10 | 780 | 16 | 873 |
|
| 41 |
+
| 2g | child_prototypical | 1 | 15 | 1 | 21 |
|
| 42 |
+
| 2h | child_prototypical | 1 | 18 | 1 | 19 |
|
| 43 |
+
| 2h | child | 10 | 780 | 11 | 878 |
|
| 44 |
+
| 2i | child | 10 | 780 | 9 | 880 |
|
| 45 |
+
| 2i | child_prototypical | 1 | 19 | 1 | 18 |
|
| 46 |
+
| 2j | child | 10 | 780 | 10 | 879 |
|
| 47 |
+
| 2j | child_prototypical | 1 | 20 | 1 | 20 |
|
| 48 |
+
| 3 | parent | 80 | 710 | 80 | 809 |
|
| 49 |
+
| 3a | child | 10 | 780 | 11 | 878 |
|
| 50 |
+
| 3a | child_prototypical | 1 | 18 | 1 | 19 |
|
| 51 |
+
| 3b | child | 10 | 780 | 11 | 878 |
|
| 52 |
+
| 3b | child_prototypical | 1 | 21 | 1 | 22 |
|
| 53 |
+
| 3c | child_prototypical | 1 | 17 | 1 | 19 |
|
| 54 |
+
| 3c | child | 10 | 780 | 12 | 877 |
|
| 55 |
+
| 3d | child | 10 | 780 | 14 | 875 |
|
| 56 |
+
| 3d | child_prototypical | 1 | 17 | 1 | 21 |
|
| 57 |
+
| 3e | child | 10 | 780 | 5 | 884 |
|
| 58 |
+
| 3e | child_prototypical | 1 | 21 | 1 | 16 |
|
| 59 |
+
| 3f | child | 10 | 780 | 11 | 878 |
|
| 60 |
+
| 3f | child_prototypical | 1 | 22 | 1 | 23 |
|
| 61 |
+
| 3g | child | 10 | 780 | 6 | 883 |
|
| 62 |
+
| 3g | child_prototypical | 1 | 20 | 1 | 16 |
|
| 63 |
+
| 3h | child_prototypical | 1 | 20 | 1 | 20 |
|
| 64 |
+
| 3h | child | 10 | 780 | 10 | 879 |
|
| 65 |
+
| 4 | parent | 80 | 710 | 82 | 807 |
|
| 66 |
+
| 4a | child | 10 | 780 | 11 | 878 |
|
| 67 |
+
| 4a | child_prototypical | 1 | 21 | 1 | 22 |
|
| 68 |
+
| 4b | child | 10 | 780 | 7 | 882 |
|
| 69 |
+
| 4b | child_prototypical | 1 | 16 | 1 | 13 |
|
| 70 |
+
| 4c | child | 10 | 780 | 12 | 877 |
|
| 71 |
+
| 4c | child_prototypical | 1 | 19 | 1 | 21 |
|
| 72 |
+
| 4d | child_prototypical | 1 | 15 | 1 | 9 |
|
| 73 |
+
| 4d | child | 10 | 780 | 4 | 885 |
|
| 74 |
+
| 4e | child | 10 | 780 | 12 | 877 |
|
| 75 |
+
| 4e | child_prototypical | 1 | 21 | 1 | 23 |
|
| 76 |
+
| 4f | child | 10 | 780 | 9 | 880 |
|
| 77 |
+
| 4f | child_prototypical | 1 | 21 | 1 | 20 |
|
| 78 |
+
| 4g | child | 10 | 780 | 15 | 874 |
|
| 79 |
+
| 4g | child_prototypical | 1 | 17 | 1 | 22 |
|
| 80 |
+
| 4h | child_prototypical | 1 | 20 | 1 | 22 |
|
| 81 |
+
| 4h | child | 10 | 780 | 12 | 877 |
|
| 82 |
+
| 5 | parent | 90 | 700 | 105 | 784 |
|
| 83 |
+
| 5a | child | 10 | 780 | 14 | 875 |
|
| 84 |
+
| 5a | child_prototypical | 1 | 17 | 1 | 21 |
|
| 85 |
+
| 5b | child_prototypical | 1 | 20 | 1 | 18 |
|
| 86 |
+
| 5b | child | 10 | 780 | 8 | 881 |
|
| 87 |
+
| 5c | child | 10 | 780 | 11 | 878 |
|
| 88 |
+
| 5c | child_prototypical | 1 | 18 | 1 | 19 |
|
| 89 |
+
| 5d | child | 10 | 780 | 15 | 874 |
|
| 90 |
+
| 5d | child_prototypical | 1 | 16 | 1 | 21 |
|
| 91 |
+
| 5e | child | 10 | 780 | 8 | 881 |
|
| 92 |
+
| 5e | child_prototypical | 1 | 20 | 1 | 18 |
|
| 93 |
+
| 5f | child | 10 | 780 | 11 | 878 |
|
| 94 |
+
| 5f | child_prototypical | 1 | 20 | 1 | 21 |
|
| 95 |
+
| 5g | child_prototypical | 1 | 21 | 1 | 20 |
|
| 96 |
+
| 5g | child | 10 | 780 | 9 | 880 |
|
| 97 |
+
| 5h | child | 10 | 780 | 15 | 874 |
|
| 98 |
+
| 5h | child_prototypical | 1 | 19 | 1 | 24 |
|
| 99 |
+
| 5i | child | 10 | 780 | 14 | 875 |
|
| 100 |
+
| 5i | child_prototypical | 1 | 19 | 1 | 23 |
|
| 101 |
+
| 6 | parent | 80 | 710 | 99 | 790 |
|
| 102 |
+
| 6a | child | 10 | 780 | 15 | 874 |
|
| 103 |
+
| 6a | child_prototypical | 1 | 17 | 1 | 22 |
|
| 104 |
+
| 6b | child_prototypical | 1 | 20 | 1 | 21 |
|
| 105 |
+
| 6b | child | 10 | 780 | 11 | 878 |
|
| 106 |
+
| 6c | child_prototypical | 1 | 20 | 1 | 23 |
|
| 107 |
+
| 6c | child | 10 | 780 | 13 | 876 |
|
| 108 |
+
| 6d | child | 10 | 780 | 10 | 879 |
|
| 109 |
+
| 6d | child_prototypical | 1 | 23 | 1 | 23 |
|
| 110 |
+
| 6e | child | 10 | 780 | 11 | 878 |
|
| 111 |
+
| 6e | child_prototypical | 1 | 20 | 1 | 21 |
|
| 112 |
+
| 6f | child | 10 | 780 | 12 | 877 |
|
| 113 |
+
| 6f | child_prototypical | 1 | 18 | 1 | 20 |
|
| 114 |
+
| 6g | child | 10 | 780 | 12 | 877 |
|
| 115 |
+
| 6g | child_prototypical | 1 | 17 | 1 | 19 |
|
| 116 |
+
| 6h | child_prototypical | 1 | 18 | 1 | 23 |
|
| 117 |
+
| 6h | child | 10 | 780 | 15 | 874 |
|
| 118 |
+
| 7 | parent | 80 | 710 | 91 | 798 |
|
| 119 |
+
| 7a | child | 10 | 780 | 14 | 875 |
|
| 120 |
+
| 7a | child_prototypical | 1 | 19 | 1 | 23 |
|
| 121 |
+
| 7b | child | 10 | 780 | 7 | 882 |
|
| 122 |
+
| 7b | child_prototypical | 1 | 15 | 1 | 12 |
|
| 123 |
+
| 7c | child | 10 | 780 | 11 | 878 |
|
| 124 |
+
| 7c | child_prototypical | 1 | 16 | 1 | 17 |
|
| 125 |
+
| 7d | child_prototypical | 1 | 19 | 1 | 23 |
|
| 126 |
+
| 7d | child | 10 | 780 | 14 | 875 |
|
| 127 |
+
| 7e | child_prototypical | 1 | 16 | 1 | 16 |
|
| 128 |
+
| 7e | child | 10 | 780 | 10 | 879 |
|
| 129 |
+
| 7f | child | 10 | 780 | 12 | 877 |
|
| 130 |
+
| 7f | child_prototypical | 1 | 15 | 1 | 17 |
|
| 131 |
+
| 7g | child | 10 | 780 | 9 | 880 |
|
| 132 |
+
| 7g | child_prototypical | 1 | 13 | 1 | 12 |
|
| 133 |
+
| 7h | child | 10 | 780 | 14 | 875 |
|
| 134 |
+
| 7h | child_prototypical | 1 | 14 | 1 | 18 |
|
| 135 |
+
| 8 | parent | 80 | 710 | 90 | 799 |
|
| 136 |
+
| 8a | child | 10 | 780 | 14 | 875 |
|
| 137 |
+
| 8a | child_prototypical | 1 | 16 | 1 | 20 |
|
| 138 |
+
| 8b | child_prototypical | 1 | 20 | 1 | 17 |
|
| 139 |
+
| 8b | child | 10 | 780 | 7 | 882 |
|
| 140 |
+
| 8c | child | 10 | 780 | 12 | 877 |
|
| 141 |
+
| 8c | child_prototypical | 1 | 15 | 1 | 17 |
|
| 142 |
+
| 8d | child | 10 | 780 | 13 | 876 |
|
| 143 |
+
| 8d | child_prototypical | 1 | 15 | 1 | 18 |
|
| 144 |
+
| 8e | child | 10 | 780 | 11 | 878 |
|
| 145 |
+
| 8e | child_prototypical | 1 | 15 | 1 | 16 |
|
| 146 |
+
| 8f | child | 10 | 780 | 12 | 877 |
|
| 147 |
+
| 8f | child_prototypical | 1 | 16 | 1 | 18 |
|
| 148 |
+
| 8g | child_prototypical | 1 | 12 | 1 | 9 |
|
| 149 |
+
| 8g | child | 10 | 780 | 7 | 882 |
|
| 150 |
+
| 8h | child | 10 | 780 | 14 | 875 |
|
| 151 |
+
| 8h | child_prototypical | 1 | 17 | 1 | 21 |
|
| 152 |
+
| 9 | parent | 90 | 700 | 96 | 793 |
|
| 153 |
+
| 9a | child | 10 | 780 | 14 | 875 |
|
| 154 |
+
| 9a | child_prototypical | 1 | 14 | 1 | 18 |
|
| 155 |
+
| 9b | child | 10 | 780 | 12 | 877 |
|
| 156 |
+
| 9b | child_prototypical | 1 | 18 | 1 | 20 |
|
| 157 |
+
| 9c | child | 10 | 780 | 7 | 882 |
|
| 158 |
+
| 9c | child_prototypical | 1 | 9 | 1 | 6 |
|
| 159 |
+
| 9d | child_prototypical | 1 | 22 | 1 | 21 |
|
| 160 |
+
| 9d | child | 10 | 780 | 9 | 880 |
|
| 161 |
+
| 9e | child | 10 | 780 | 8 | 881 |
|
| 162 |
+
| 9e | child_prototypical | 1 | 23 | 1 | 21 |
|
| 163 |
+
| 9f | child | 10 | 780 | 10 | 879 |
|
| 164 |
+
| 9f | child_prototypical | 1 | 18 | 1 | 18 |
|
| 165 |
+
| 9g | child | 10 | 780 | 14 | 875 |
|
| 166 |
+
| 9g | child_prototypical | 1 | 15 | 1 | 19 |
|
| 167 |
+
| 9h | child | 10 | 780 | 13 | 876 |
|
| 168 |
+
| 9h | child_prototypical | 1 | 18 | 1 | 21 |
|
| 169 |
+
| 9i | child | 10 | 780 | 9 | 880 |
|
| 170 |
+
| 9i | child_prototypical | 1 | 18 | 1 | 17 |
|