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  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).
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  Please refer to the official [website](https://pilehvar.github.io/xlwic/) for more information.
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  ## Languages
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  XL-WiC provides training data in:
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  - en (English)
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  - fa (Farsi)
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  - ja (Japanesse)
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  - ko (Korean)
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-
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- ## Configurations
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- 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).
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- For example, we can load the dataset having English as training language and Italian as target language as follows:
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- ```python
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- from datasets import load_dataset
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- dataset = load_dataset('pasinit/xlwic', 'en_it')
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- ```
 
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  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).
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  Please refer to the official [website](https://pilehvar.github.io/xlwic/) for more information.
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+
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+ ## Configurations
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+ 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).
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+ Please refer to [Languages](#Languages) section to see in which languages training data is available.
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+ For example, we can load the dataset having English as training language and Italian as target language as follows:
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+ ```python
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+ from datasets import load_dataset
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+ dataset = load_dataset('pasinit/xlwic', 'en_it')
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+ ```
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+
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  ## Languages
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  XL-WiC provides training data in:
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  - en (English)
 
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  - fa (Farsi)
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  - ja (Japanesse)
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  - ko (Korean)