| --- |
| annotations_creators: |
| - expert-generated |
| language_creators: |
| - found |
| language: |
| - sl |
| license: |
| - cc-by-nc-sa-4.0 |
| multilinguality: |
| - monolingual |
| size_categories: |
| - 10K<n<100K |
| - 100K<n<1M |
| source_datasets: [] |
| task_categories: |
| - text-classification |
| - token-classification |
| task_ids: [] |
| pretty_name: Dataset of Slovene idiomatic expressions SloIE |
| tags: |
| - idiom-detection |
| - multiword-expression-detection |
| --- |
| |
| # Dataset Card for SloIE |
|
|
| ### Dataset Summary |
|
|
| 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. |
|
|
| For a more detailed description of the dataset, please see the paper Škvorc et al. (2022) - see below. |
|
|
| ### Supported Tasks and Leaderboards |
|
|
| Idiom detection. |
|
|
| ### Languages |
|
|
| Slovenian. |
|
|
| ## Dataset Structure |
|
|
| ### Data Instances |
|
|
| A sample instance from the dataset: |
| ```json |
| { |
| 'sentence': 'Fantje regljajo v enem kotu, deklice pa svoje obrazke barvajo s pisanimi barvami.', |
| 'expression': 'barvati kaj s črnimi barvami', |
| 'word_order': [11, 10, 12, 13, 14], |
| 'sentence_words': ['Fantje', 'regljajo', 'v', 'enem', 'kotu,', 'deklice', 'pa', 'svoje', 'obrazke', 'barvajo', 's', 'pisanimi', 'barvami.'], |
| 'is_idiom': ['*', '*', '*', '*', '*', '*', '*', '*', 'NE', 'NE', 'NE', 'NE', 'NE'] |
| } |
| ``` |
|
|
| 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. |
| |
| ### Data Fields |
| |
| - `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`); |
| - `expression`: the annotated idiomatic expression; |
| - `word_order`: numbers indicating the positions of tokens that belong to the expression; |
| - `sentence_words`: words in the sentence; |
| - `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. |
|
|
| ## Additional Information |
|
|
| ### Dataset Curators |
|
|
| Tadej Škvorc, Polona Gantar, Marko Robnik-Šikonja. |
|
|
| ### Licensing Information |
|
|
| CC BY-NC-SA 4.0. |
|
|
| ### Citation Information |
|
|
| ``` |
| @article{skvorc2022mice, |
| title = {MICE: Mining Idioms with Contextual Embeddings}, |
| journal = {Knowledge-Based Systems}, |
| volume = {235}, |
| pages = {107606}, |
| year = {2022}, |
| doi = {https://doi.org/10.1016/j.knosys.2021.107606}, |
| url = {https://www.sciencedirect.com/science/article/pii/S0950705121008686}, |
| author = {{\v S}kvorc, Tadej and Gantar, Polona and Robnik-{\v S}ikonja, Marko}, |
| } |
| ``` |
|
|
| ### Contributions |
|
|
| Thanks to [@matejklemen](https://github.com/matejklemen) for adding this dataset. |
|
|
