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---
language:
- en
license:
- other
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
pretty_name: SemEval2012 task 2 Relational Similarity
---
# Dataset Card for "relbert/semeval2012_relational_similarity"
## Dataset Description
- **Repository:** [RelBERT](https://github.com/asahi417/relbert)
- **Paper:** [https://aclanthology.org/S12-1047/](https://aclanthology.org/S12-1047/)
- **Dataset:** SemEval2012: Relational Similarity
### Dataset Summary
Relational similarity dataset from [SemEval2012 task 2](https://aclanthology.org/S12-1047/), compiled to fine-tune [RelBERT](https://github.com/asahi417/relbert) model.
The dataset contains a list of positive and negative word pair from 89 pre-defined relations.
The relation types are constructed on top of following 10 parent relation types.
```shell
{
1: "Class Inclusion", # Hypernym
2: "Part-Whole", # Meronym, Substance Meronym
3: "Similar", # Synonym, Co-hypornym
4: "Contrast", # Antonym
5: "Attribute", # Attribute, Event
6: "Non Attribute",
7: "Case Relation",
8: "Cause-Purpose",
9: "Space-Time",
10: "Representation"
}
```
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).
## Dataset Structure
### Data Instances
An example of `train` looks as follows.
```
{
'relation_type': '8d',
'positives': [ [ "breathe", "live" ], [ "study", "learn" ], [ "speak", "communicate" ], ... ]
'negatives': [ [ "starving", "hungry" ], [ "clean", "bathe" ], [ "hungry", "starving" ], ... ]
}
```
### Data Splits
| name |train|validation|
|---------|----:|---------:|
|semeval2012_relational_similarity| 89 | 89|
### Number of Positive/Negative Word-pairs in each Split
| relation_type | positive (train) | negative (train) | positive (validation) | negative (validation) |
|:----------------|-------------------:|-------------------:|------------------------:|------------------------:|
| 1 | 50 | 740 | 63 | 826 |
| 10 | 60 | 730 | 66 | 823 |
| 10a | 10 | 799 | 14 | 894 |
| 10b | 10 | 797 | 13 | 893 |
| 10c | 10 | 800 | 11 | 898 |
| 10d | 10 | 799 | 10 | 898 |
| 10e | 10 | 795 | 8 | 896 |
| 10f | 10 | 799 | 10 | 898 |
| 1a | 10 | 797 | 14 | 892 |
| 1b | 10 | 797 | 14 | 892 |
| 1c | 10 | 800 | 11 | 898 |
| 1d | 10 | 797 | 16 | 890 |
| 1e | 10 | 794 | 8 | 895 |
| 2 | 100 | 690 | 117 | 772 |
| 2a | 10 | 799 | 15 | 893 |
| 2b | 10 | 796 | 11 | 894 |
| 2c | 10 | 798 | 13 | 894 |
| 2d | 10 | 798 | 10 | 897 |
| 2e | 10 | 799 | 11 | 897 |
| 2f | 10 | 802 | 11 | 900 |
| 2g | 10 | 796 | 16 | 889 |
| 2h | 10 | 799 | 11 | 897 |
| 2i | 10 | 800 | 9 | 900 |
| 2j | 10 | 801 | 10 | 900 |
| 3 | 80 | 710 | 80 | 809 |
| 3a | 10 | 799 | 11 | 897 |
| 3b | 10 | 802 | 11 | 900 |
| 3c | 10 | 798 | 12 | 895 |
| 3d | 10 | 798 | 14 | 893 |
| 3e | 10 | 802 | 5 | 906 |
| 3f | 10 | 803 | 11 | 901 |
| 3g | 10 | 801 | 6 | 904 |
| 3h | 10 | 801 | 10 | 900 |
| 4 | 80 | 710 | 82 | 807 |
| 4a | 10 | 802 | 11 | 900 |
| 4b | 10 | 797 | 7 | 899 |
| 4c | 10 | 800 | 12 | 897 |
| 4d | 10 | 796 | 4 | 901 |
| 4e | 10 | 802 | 12 | 899 |
| 4f | 10 | 802 | 9 | 902 |
| 4g | 10 | 798 | 15 | 892 |
| 4h | 10 | 801 | 12 | 898 |
| 5 | 90 | 700 | 105 | 784 |
| 5a | 10 | 798 | 14 | 893 |
| 5b | 10 | 801 | 8 | 902 |
| 5c | 10 | 799 | 11 | 897 |
| 5d | 10 | 797 | 15 | 891 |
| 5e | 10 | 801 | 8 | 902 |
| 5f | 10 | 801 | 11 | 899 |
| 5g | 10 | 802 | 9 | 902 |
| 5h | 10 | 800 | 15 | 894 |
| 5i | 10 | 800 | 14 | 895 |
| 6 | 80 | 710 | 99 | 790 |
| 6a | 10 | 798 | 15 | 892 |
| 6b | 10 | 801 | 11 | 899 |
| 6c | 10 | 801 | 13 | 897 |
| 6d | 10 | 804 | 10 | 903 |
| 6e | 10 | 801 | 11 | 899 |
| 6f | 10 | 799 | 12 | 896 |
| 6g | 10 | 798 | 12 | 895 |
| 6h | 10 | 799 | 15 | 893 |
| 7 | 80 | 710 | 91 | 798 |
| 7a | 10 | 800 | 14 | 895 |
| 7b | 10 | 796 | 7 | 898 |
| 7c | 10 | 797 | 11 | 895 |
| 7d | 10 | 800 | 14 | 895 |
| 7e | 10 | 797 | 10 | 896 |
| 7f | 10 | 796 | 12 | 893 |
| 7g | 10 | 794 | 9 | 894 |
| 7h | 10 | 795 | 14 | 890 |
| 8 | 80 | 710 | 90 | 799 |
| 8a | 10 | 797 | 14 | 892 |
| 8b | 10 | 801 | 7 | 903 |
| 8c | 10 | 796 | 12 | 893 |
| 8d | 10 | 796 | 13 | 892 |
| 8e | 10 | 796 | 11 | 894 |
| 8f | 10 | 797 | 12 | 894 |
| 8g | 10 | 793 | 7 | 895 |
| 8h | 10 | 798 | 14 | 893 |
| 9 | 90 | 700 | 96 | 793 |
| 9a | 10 | 795 | 14 | 890 |
| 9b | 10 | 799 | 12 | 896 |
| 9c | 10 | 790 | 7 | 892 |
| 9d | 10 | 803 | 9 | 903 |
| 9e | 10 | 804 | 8 | 905 |
| 9f | 10 | 799 | 10 | 898 |
| 9g | 10 | 796 | 14 | 891 |
| 9h | 10 | 799 | 13 | 895 |
| 9i | 10 | 799 | 9 | 899 |
| SUM | 1580 | 70207 | 1778 | 78820 |
### Citation Information
```
@inproceedings{jurgens-etal-2012-semeval,
title = "{S}em{E}val-2012 Task 2: Measuring Degrees of Relational Similarity",
author = "Jurgens, David and
Mohammad, Saif and
Turney, Peter and
Holyoak, Keith",
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)",
month = "7-8 " # jun,
year = "2012",
address = "Montr{\'e}al, Canada",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/S12-1047",
pages = "356--364",
}
``` |