Pham Van Ngoan
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README.md
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---
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# For reference on model card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/datasetcard.md?plain=1
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# Doc / guide: https://huggingface.co/docs/hub/datasets-cards
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{}
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---
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# Dataset Card for WikiMatrix English-Vietnamese Parallel Sentences
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### Dataset Summary
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The WikiMatrix English-Vietnamese Parallel Sentences dataset contains parallel sentences in English and Vietnamese extracted from the WikiMatrix project. This dataset is a valuable resource for tasks such as machine translation and cross-lingual understanding.
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### Supported Tasks and Leaderboards
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- Machine Translation
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- Cross-lingual Understanding
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### Languages
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- English
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- Vietnamese
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## Additional Information
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### Licensing Information
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The dataset is distributed under the Creative Commons Attribution-ShareAlike License.
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### Citation Information
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[1] Holger Schwenk, Vishrav Chaudhary, Shuo Sun, Hongyu Gong and Paco Guzman,
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[*WikiMatrix: Mining 135M Parallel Sentences in 1620 Language Pairs from Wikipedia*](https://arxiv.org/abs/1907.05791)
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arXiv, July 11 2019.
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[2] Mikel Artetxe and Holger Schwenk,
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[*Margin-based Parallel Corpus Mining with Multilingual Sentence Embeddings*](https://arxiv.org/abs/1811.01136)
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arXiv, Nov 3 2018.
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[3] Mikel Artetxe and Holger Schwenk,
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[*Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond*](https://arxiv.org/abs/1812.10464)
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arXiv, Dec 26 2018.
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[4] Ye Qi, Devendra Sachan, Matthieu Felix, Sarguna Padmanabhan and Graham Neubig,
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[*When and Why Are Pre-Trained Word Embeddings Useful for Neural Machine Translation?*](https://www.aclweb.org/anthology/papers/N/N18/N18-2084/)
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NAACL, pages 529-535, 2018.
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