# XL-WSD
Huggingface dataset for the paper [https://www.aclweb.org/anthology/2020.emnlp-main.584.pdf](https://www.aclweb.org/anthology/2020.emnlp-main.584.pdf).

## Languages
XL-WiC provides training data in:
- en (English)
- fr (French)
- de (German)
- it (Italian)

and dev and test data in:
- fr (French)
- de (German)
- it (Italian)
- bg (Bulgarian)
- zh (Chinese)
- hr (Croatian)
- da (Danish)
- nl (Dutch)
- et (Estonian)
- fa (Farsi)
- ja (Japanesse)
- ko (Korean)

## Sub datasets
When loading one of the XL-WSD datasets one has to specify the training language and the target language (on which dev and test will be performed).
For example, we can load the dataset having English as training language and Italian as target language as follows:
```
from datasets import load_dataset
dataset = load_dataset('pasinit/xlwic', 'en_it')
```