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