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|
--- |
|
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dataset_info: |
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features: |
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- name: en |
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dtype: string |
|
|
- name: vi |
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|
dtype: string |
|
|
splits: |
|
|
- name: train |
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|
num_bytes: 536891664 |
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num_examples: 2977999 |
|
|
- name: dev |
|
|
num_bytes: 3341942 |
|
|
num_examples: 18719 |
|
|
- name: test |
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|
num_bytes: 3633646 |
|
|
num_examples: 19151 |
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|
download_size: 317794951 |
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dataset_size: 543867252 |
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|
configs: |
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- config_name: default |
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|
data_files: |
|
|
- split: train |
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|
path: data/train-* |
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|
- split: dev |
|
|
path: data/dev-* |
|
|
- split: test |
|
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path: data/test-* |
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license: apache-2.0 |
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--- |
|
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|
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|
- The original dataset is the high-quality work of VinAI Research. |
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|
- I just simply to process and reformat this data into the standard Hugging Face datasets structure, making it accessible for pretraining compact models. |
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|
|
|
```python |
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@inproceedings{PhoMT, |
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|
title = {{PhoMT: A High-Quality and Large-Scale Benchmark Dataset for Vietnamese-English Machine Translation}}, |
|
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author = {Long Doan and Linh The Nguyen and Nguyen Luong Tran and Thai Hoang and Dat Quoc Nguyen}, |
|
|
booktitle = {Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing}, |
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year = {2021}, |
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pages = {4495--4503} |
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} |
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|
``` |
