Datasets:
Tasks:
Text Classification
Modalities:
Text
Sub-tasks:
semantic-similarity-classification
Size:
100K<n<1M
Tags:
License:
readme update
Browse files
README.md
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# XL-WSD
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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).
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# XL-WSD
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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).
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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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- fr (French)
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- de (German)
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- it (Italian)
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and dev and test data in:
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- fr (French)
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- de (German)
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- it (Italian)
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- bg (Bulgarian)
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- zh (Chinese)
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- hr (Croatian)
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- da (Danish)
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- nl (Dutch)
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- et (Estonian)
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- fa (Farsi)
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- ja (Japanesse)
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- ko (Korean)
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## Sub datasets
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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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```
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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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