# 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",
}
```
multilinguality:monolingual size_categories:1K<n<10K language:en license:other region:us
{"language": ["en"], "license": ["other"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "pretty_name": "SemEval2012 task 2 Relational Similarity"}
TAGS
#multilinguality-monolingual #size_categories-1K<n<10K #language-English #license-other #region-us 

Dataset Card for "relbert/semeval2012\_relational\_similarity"
==============================================================


Dataset Description
-------------------


* Repository: RelBERT
* Paper: URL
* Dataset: SemEval2012: Relational Similarity


### Dataset Summary


Relational similarity dataset from SemEval2012 task 2, compiled to fine-tune 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.


Each of the parent relation is further grouped into child relation types where the definition can be found here.


Dataset Structure
-----------------


### Data Instances


An example of 'train' looks as follows.


### Data Splits



### Number of Positive/Negative Word-pairs in each Split




### Dataset Summary


Relational similarity dataset from SemEval2012 task 2, compiled to fine-tune 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.


Each of the parent relation is further grouped into child relation types where the definition can be found here.


Dataset Structure
----------------- ### Data Instances


An example of 'train' looks as follows. ### Data Splits ### Number of Positive/Negative Word-pairs in each Split
TAGS
#multilinguality-monolingual #size_categories-1K<n<10K #language-English #license-other #region-us 
 ### Dataset Summary


Relational similarity dataset from SemEval2012 task 2, compiled to fine-tune 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.


Each of the parent relation is further grouped into child relation types where the definition can be found here.


Dataset Structure
----------------- ### Data Instances


An example of 'train' looks as follows. ### Data Splits ### Number of Positive/Negative Word-pairs in each Split