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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
# Doc / guide: https://huggingface.co/docs/hub/datasets-cards
{}
---

# Dataset Card for WikiMatrix English-Vietnamese Parallel Sentences


### Dataset Summary

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.

### Supported Tasks and Leaderboards

- Machine Translation
- Cross-lingual Understanding

### Languages

- English
- Vietnamese


## Additional Information


### Licensing Information

The dataset is distributed under the Creative Commons Attribution-ShareAlike License.

### Citation Information
[1] Holger Schwenk, Vishrav Chaudhary, Shuo Sun, Hongyu Gong and Paco Guzman,
    [*WikiMatrix: Mining 135M Parallel Sentences in 1620 Language Pairs from Wikipedia*](https://arxiv.org/abs/1907.05791)
    arXiv, July 11  2019.

[2] Mikel Artetxe and Holger Schwenk,
    [*Margin-based Parallel Corpus Mining with Multilingual Sentence Embeddings*](https://arxiv.org/abs/1811.01136)
    arXiv, Nov 3 2018.

[3] Mikel Artetxe and Holger Schwenk,
    [*Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond*](https://arxiv.org/abs/1812.10464)
    arXiv, Dec 26 2018.

[4] Ye Qi, Devendra  Sachan, Matthieu Felix, Sarguna Padmanabhan and Graham Neubig,
    [*When and Why Are Pre-Trained Word Embeddings Useful for Neural Machine Translation?*](https://www.aclweb.org/anthology/papers/N/N18/N18-2084/)
    NAACL, pages 529-535, 2018.