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--- |
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language: |
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- uk |
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size_categories: |
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- 100K<n<1M |
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task_categories: |
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- question-answering |
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- summarization |
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--- |
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# Ukrainian Hypernymy Pairs Dataset |
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## Background |
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Hypernymy is the super-subordinate or ISA semantic relation that links more general terms to more specific ones. For example, *rose* is a hyponym of *flower*, a hypernym of *rose*. Words that are hyponyms of the same hypernym are called co-hyponyms, for instance, *rose* and *tulip*. Hyponymy relation is transitive and asymmetric. |
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Hypernymy is also differentiated by: |
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* Types — common nouns: *armchair* is a type (hyponym) of *chair*; |
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* Instances — specific persons, countries, and geographic entities: *Dnipro river* is an instance (instance hyponym) of *river*. |
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## Project Description |
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The Ukrainian Hypernymy Pairs Dataset is a collection of noun pairs that express hypernymy relations between words in the Ukrainian language. The dataset contains pairs of words linked by four different types of relations: hypernym-hyponym, co-hyponyms, hypernym-instance, and co-instances. |
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An example of such a dataset in English may be [BLESS](https://sites.google.com/site/geometricalmodels/shared-evaluation). However, their concepts are linked by one of the following six relations: co-hyponyms, hypernyms, meronyms, attributes, events, and random. Moreover, the hypernymy relation is not divided by terms and instances. |
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Ukrainian Hypernymy Pairs were constructed utilizing the linkage between [Princeton WordNet](https://wordnet.princeton.edu/), [Wikidata](https://www.wikidata.org/wiki/Wikidata:Main_Page), and Ukrainian [Wikipedia](https://www.wikipedia.org/). We used the Python [Wn package](https://wn.readthedocs.io/en/latest/) to get the relation, which provides an interface to WordNet data. |
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All terms in the dataset are Wikipedia article titles, and no preprocessing was applied. Therefore it sometimes contains additional info in the brackets. |
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## Dataset Statistics |
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This table presents the number of word pairs obtained for each relation type. |
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| **Relation Type** | **# of Pairs** | |
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|-----------------------|----------------| |
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| **Hypernym-Hyponym** | 6,906 | |
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| **Co-Hyponyms** | 42,860 | |
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| **Hypernym-Instance** | 2,971 | |
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| **Co-Instances** | 22,927 | |
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| **Total # of Pairs** | 275,664 | |
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## Intended Use |
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The dataset produced can be particularly valuable for the Hypernym Detection task, where the pair of words is presented to a model, and it should classify whether they are in a hypernymy relation. Other lexico-semantic relations can be added to improve the diversity of the dataset. |
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## License |
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Copyright: [Nataliia Romanyshyn](https://twitter.com/supersubnat), [Dmytro Chaplynskyi](https://twitter.com/dchaplinsky), [lang-uk project](https://lang.org.ua), 2023 |
