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--- |
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annotations_creators: |
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- expert-generated |
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language_creators: |
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- found |
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language: |
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- sl |
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license: |
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- cc-by-nc-sa-4.0 |
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multilinguality: |
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- monolingual |
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size_categories: |
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- 10K<n<100K |
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- 100K<n<1M |
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source_datasets: [] |
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task_categories: |
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- text-classification |
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- token-classification |
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task_ids: [] |
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pretty_name: Dataset of Slovene idiomatic expressions SloIE |
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tags: |
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- idiom-detection |
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- multiword-expression-detection |
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--- |
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# Dataset Card for SloIE |
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### Dataset Summary |
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SloIE is a manually labelled dataset of Slovene idiomatic expressions. It contains 29399 sentences with 75 different expressions that can occur with either a literal or an idiomatic meaning, with appropriate manual annotations for each token. The idiomatic expressions were selected from the [Slovene Lexical Database]( (http://hdl.handle.net/11356/1030). Only expressions that can occur with both a literal and an idiomatic meaning were selected. The sentences were extracted from the Gigafida corpus. |
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For a more detailed description of the dataset, please see the paper Škvorc et al. (2022) - see below. |
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### Supported Tasks and Leaderboards |
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Idiom detection. |
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### Languages |
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Slovenian. |
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## Dataset Structure |
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### Data Instances |
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A sample instance from the dataset: |
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```json |
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{ |
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'sentence': 'Fantje regljajo v enem kotu, deklice pa svoje obrazke barvajo s pisanimi barvami.', |
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'expression': 'barvati kaj s črnimi barvami', |
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'word_order': [11, 10, 12, 13, 14], |
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'sentence_words': ['Fantje', 'regljajo', 'v', 'enem', 'kotu,', 'deklice', 'pa', 'svoje', 'obrazke', 'barvajo', 's', 'pisanimi', 'barvami.'], |
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'is_idiom': ['*', '*', '*', '*', '*', '*', '*', '*', 'NE', 'NE', 'NE', 'NE', 'NE'] |
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} |
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``` |
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In this `sentence`, the words of the expression "barvati kaj s črnimi barvami" are used in a literal sense, as indicated by the "NE" annotations inside `is_idiom`. The "*" annotations indicate the words are not part of the expression. |
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### Data Fields |
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- `sentence`: raw sentence in string form - **WARNING**: this is at times slightly different from the words inside `sentence_words` (e.g., "..." here could be "." in `sentence_words`); |
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- `expression`: the annotated idiomatic expression; |
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- `word_order`: numbers indicating the positions of tokens that belong to the expression; |
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- `sentence_words`: words in the sentence; |
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- `is_idiom`: a string denoting whether each word has an idiomatic (`"DA"`), literal (`"NE"`), or ambiguous (`"NEJASEN ZGLED"`) meaning. `"*"` means that the word is not part of the expression. |
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## Additional Information |
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### Dataset Curators |
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Tadej Škvorc, Polona Gantar, Marko Robnik-Šikonja. |
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### Licensing Information |
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CC BY-NC-SA 4.0. |
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### Citation Information |
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``` |
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@article{skvorc2022mice, |
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title = {MICE: Mining Idioms with Contextual Embeddings}, |
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journal = {Knowledge-Based Systems}, |
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volume = {235}, |
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pages = {107606}, |
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year = {2022}, |
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doi = {https://doi.org/10.1016/j.knosys.2021.107606}, |
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url = {https://www.sciencedirect.com/science/article/pii/S0950705121008686}, |
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author = {{\v S}kvorc, Tadej and Gantar, Polona and Robnik-{\v S}ikonja, Marko}, |
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} |
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``` |
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### Contributions |
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Thanks to [@matejklemen](https://github.com/matejklemen) for adding this dataset. |
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