
# XL-WiC
Huggingface dataset for the XL-WiC paper [https://www.aclweb.org/anthology/2020.emnlp-main.584.pdf](https://www.aclweb.org/anthology/2020.emnlp-main.584.pdf).
Please refer to the official [website](https://pilehvar.github.io/xlwic/) 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](#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:
```python
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)

task_categories:text-classification task_ids:semantic-similarity-classification annotations_creators:expert-generated language_creators:found multilinguality:multilingual size_categories:10K<n<100K source_datasets:original language:en language:bg language:zh language:hr language:da language:nl language:et language:fa language:ja language:ko language:it language:fr language:de license:cc-by-nc-4.0 region:us
{"annotations_creators": ["expert-generated"], "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"], "extended": ["original"]}
TAGS
#task_categories-text-classification #task_ids-semantic-similarity-classification #annotations_creators-expert-generated #language_creators-found #multilinguality-multilingual #size_categories-10K<n<100K #source_datasets-original #language-English #language-Bulgarian #language-Chinese #language-Croatian #language-Danish #language-Dutch #language-Estonian #language-Persian #language-Japanese #language-Korean #language-Italian #language-French #language-German #license-cc-by-nc-4.0 #region-us 


# XL-WiC
Huggingface dataset for the XL-WiC paper URL
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:


## 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)

# XL-WiC
Huggingface dataset for the XL-WiC paper URL
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: ## 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)
TAGS
#task_categories-text-classification #task_ids-semantic-similarity-classification #annotations_creators-expert-generated #language_creators-found #multilinguality-multilingual #size_categories-10K<n<100K #source_datasets-original #language-English #language-Bulgarian #language-Chinese #language-Croatian #language-Danish #language-Dutch #language-Estonian #language-Persian #language-Japanese #language-Korean #language-Italian #language-French #language-German #license-cc-by-nc-4.0 #region-us 
 # XL-WiC
Huggingface dataset for the XL-WiC paper URL
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: ## 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)
passage: TAGS
#task_categories-text-classification #task_ids-semantic-similarity-classification #annotations_creators-expert-generated #language_creators-found #multilinguality-multilingual #size_categories-10K<n<100K #source_datasets-original #language-English #language-Bulgarian #language-Chinese #language-Croatian #language-Danish #language-Dutch #language-Estonian #language-Persian #language-Japanese #language-Korean #language-Italian #language-French #language-German #license-cc-by-nc-4.0 #region-us 
# XL-WiC
Huggingface dataset for the XL-WiC paper URL
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:## 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)