Datasets:
Tasks:
Text Classification
Modalities:
Text
Sub-tasks:
semantic-similarity-classification
Size:
100K - 1M
License:
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README.md
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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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## 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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## 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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## 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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