Datasets:
Tasks:
Text Classification
Modalities:
Text
Sub-tasks:
semantic-similarity-classification
Size:
100K - 1M
License:
# 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') | |
``` |