metadata

annotations_creators:
  - expert-generated
extended:
  - original
language_creators:
  - found
language:
  - en
  - bg
  - zh
  - hr
  - da
  - nl
  - et
  - fa
  - ja
  - ko
  - it
  - fr
  - de
license:
  - cc-by-nc-4.0
multilinguality:
  - multilingual
size_categories:
  - 10K<n<100K
source_datasets:
  - original
task_categories:
  - text-classification
task_ids:
  - semantic-similarity-classification

XL-WiC

Huggingface dataset for the XL-WiC paper https://www.aclweb.org/anthology/2020.emnlp-main.584.pdf. Please refer to the official website for more information.

Configurations

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). Please refer to Languages section to see in which languages training data is available. 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')

Languages

Training data

en (English)
fr (French)
de (German)
it (Italian)

Dev & Test data

fr (French)
de (German)
it (Italian)
bg (Bulgarian)
zh (Chinese)
hr (Croatian)
da (Danish)
nl (Dutch)
et (Estonian)
fa (Farsi)
ja (Japanesse)
ko (Korean)