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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_v2"
## 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
***IMPORTANT***: This is the same dataset as [relbert/semeval2012_relational_similarity](https://huggingface.co/datasets/relbert/semeval2012_relational_similarity),
but with a different train/validation split.
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_v2| 89 | 89|
### Number of Positive/Negative Word-pairs in each Split
| relation_type | positive (train) | negative (train) | positive (validation) | negative (validation) |
|:----------------|-------------------:|-------------------:|------------------------:|------------------------:|
| 1 | 40 | 592 | 10 | 148 |
| 10 | 48 | 584 | 12 | 146 |
| 10a | 8 | 640 | 2 | 159 |
| 10b | 8 | 638 | 2 | 159 |
| 10c | 8 | 640 | 2 | 160 |
| 10d | 8 | 640 | 2 | 159 |
| 10e | 8 | 636 | 2 | 159 |
| 10f | 8 | 640 | 2 | 159 |
| 1a | 8 | 638 | 2 | 159 |
| 1b | 8 | 638 | 2 | 159 |
| 1c | 8 | 640 | 2 | 160 |
| 1d | 8 | 638 | 2 | 159 |
| 1e | 8 | 636 | 2 | 158 |
| 2 | 80 | 552 | 20 | 138 |
| 2a | 8 | 640 | 2 | 159 |
| 2b | 8 | 637 | 2 | 159 |
| 2c | 8 | 639 | 2 | 159 |
| 2d | 8 | 639 | 2 | 159 |
| 2e | 8 | 640 | 2 | 159 |
| 2f | 8 | 642 | 2 | 160 |
| 2g | 8 | 637 | 2 | 159 |
| 2h | 8 | 640 | 2 | 159 |
| 2i | 8 | 640 | 2 | 160 |
| 2j | 8 | 641 | 2 | 160 |
| 3 | 64 | 568 | 16 | 142 |
| 3a | 8 | 640 | 2 | 159 |
| 3b | 8 | 642 | 2 | 160 |
| 3c | 8 | 639 | 2 | 159 |
| 3d | 8 | 639 | 2 | 159 |
| 3e | 8 | 642 | 2 | 160 |
| 3f | 8 | 643 | 2 | 160 |
| 3g | 8 | 641 | 2 | 160 |
| 3h | 8 | 641 | 2 | 160 |
| 4 | 64 | 568 | 16 | 142 |
| 4a | 8 | 642 | 2 | 160 |
| 4b | 8 | 638 | 2 | 159 |
| 4c | 8 | 640 | 2 | 160 |
| 4d | 8 | 637 | 2 | 159 |
| 4e | 8 | 642 | 2 | 160 |
| 4f | 8 | 642 | 2 | 160 |
| 4g | 8 | 639 | 2 | 159 |
| 4h | 8 | 641 | 2 | 160 |
| 5 | 72 | 560 | 18 | 140 |
| 5a | 8 | 639 | 2 | 159 |
| 5b | 8 | 641 | 2 | 160 |
| 5c | 8 | 640 | 2 | 159 |
| 5d | 8 | 638 | 2 | 159 |
| 5e | 8 | 641 | 2 | 160 |
| 5f | 8 | 641 | 2 | 160 |
| 5g | 8 | 642 | 2 | 160 |
| 5h | 8 | 640 | 2 | 160 |
| 5i | 8 | 640 | 2 | 160 |
| 6 | 64 | 568 | 16 | 142 |
| 6a | 8 | 639 | 2 | 159 |
| 6b | 8 | 641 | 2 | 160 |
| 6c | 8 | 641 | 2 | 160 |
| 6d | 8 | 644 | 2 | 160 |
| 6e | 8 | 641 | 2 | 160 |
| 6f | 8 | 640 | 2 | 159 |
| 6g | 8 | 639 | 2 | 159 |
| 6h | 8 | 640 | 2 | 159 |
| 7 | 64 | 568 | 16 | 142 |
| 7a | 8 | 640 | 2 | 160 |
| 7b | 8 | 637 | 2 | 159 |
| 7c | 8 | 638 | 2 | 159 |
| 7d | 8 | 640 | 2 | 160 |
| 7e | 8 | 638 | 2 | 159 |
| 7f | 8 | 637 | 2 | 159 |
| 7g | 8 | 636 | 2 | 158 |
| 7h | 8 | 636 | 2 | 159 |
| 8 | 64 | 568 | 16 | 142 |
| 8a | 8 | 638 | 2 | 159 |
| 8b | 8 | 641 | 2 | 160 |
| 8c | 8 | 637 | 2 | 159 |
| 8d | 8 | 637 | 2 | 159 |
| 8e | 8 | 637 | 2 | 159 |
| 8f | 8 | 638 | 2 | 159 |
| 8g | 8 | 635 | 2 | 158 |
| 8h | 8 | 639 | 2 | 159 |
| 9 | 72 | 560 | 18 | 140 |
| 9a | 8 | 636 | 2 | 159 |
| 9b | 8 | 640 | 2 | 159 |
| 9c | 8 | 632 | 2 | 158 |
| 9d | 8 | 643 | 2 | 160 |
| 9e | 8 | 644 | 2 | 160 |
| 9f | 8 | 640 | 2 | 159 |
| 9g | 8 | 637 | 2 | 159 |
| 9h | 8 | 640 | 2 | 159 |
| 9i | 8 | 640 | 2 | 159 |
| SUM | 1264 | 56198 | 316 | 14009 |
### 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",
}
``` |