Datasets:
Multilinguality:
translation
Size Categories:
1M<n<10M
Language Creators:
found
Annotations Creators:
no-annotation
License:
Commit
•
1cad77b
1
Parent(s):
fcea298
Fix `license` metadata (#1)
Browse files- Fix `license` metadata (55405f316a508efbafb5cb5143c18a55b9e1ae60)
Co-authored-by: Julien Chaumond <julien-c@users.noreply.huggingface.co>
README.md
CHANGED
@@ -1,177 +1,177 @@
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---
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annotations_creators:
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- no-annotation
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language_creators:
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- found
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-
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- en
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- vi
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- cc-by-nc-sa-4.0
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multilinguality:
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- translation
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pretty_name: MTet
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size_categories:
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- 1M<n<10M
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source_datasets:
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- original
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-
- extended|bible_para
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-
- extended|kde4
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- extended|opus_gnome
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- extended|open_subtitles
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- extended|tatoeba
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task_categories:
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- conditional-text-generation
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task_ids:
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- machine-translation
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---
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# Dataset Card for MTet
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-
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## Table of Contents
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- [Table of Contents](#table-of-contents)
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- [Dataset Description](#dataset-description)
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- [Dataset Summary](#dataset-summary)
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- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
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- [Languages](#languages)
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- [Dataset Structure](#dataset-structure)
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- [Data Instances](#data-instances)
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- [Data Fields](#data-fields)
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- [Data Splits](#data-splits)
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- [Dataset Creation](#dataset-creation)
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- [Curation Rationale](#curation-rationale)
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- [Source Data](#source-data)
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- [Annotations](#annotations)
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- [Personal and Sensitive Information](#personal-and-sensitive-information)
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- [Considerations for Using the Data](#considerations-for-using-the-data)
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- [Social Impact of Dataset](#social-impact-of-dataset)
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- [Discussion of Biases](#discussion-of-biases)
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- [Other Known Limitations](#other-known-limitations)
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- [Additional Information](#additional-information)
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- [Dataset Curators](#dataset-curators)
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- [Licensing Information](#licensing-information)
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- [Citation Information](#citation-information)
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- [Contributions](#contributions)
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## Dataset Description
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- **Homepage:** https://translate.vietai.org/
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- **Repository:** https://github.com/vietai/mTet
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- **Paper:**
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- **Leaderboard:**
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- **Point of Contact:**
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### Dataset Summary
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MTet (Multi-domain Translation for English-Vietnamese) dataset contains roughly 4.2 million English-Vietnamese pairs of
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texts, ranging across multiple different domains such as medical publications, religious texts, engineering articles,
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68 |
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literature, news, and poems.
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-
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This dataset extends our previous SAT (Style Augmented Translation) dataset (v1.0) by adding more high-quality
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English-Vietnamese sentence pairs on various domains.
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-
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### Supported Tasks and Leaderboards
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-
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- Machine Translation
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-
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### Languages
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The languages in the dataset are:
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- Vietnamese (`vi`)
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- English (`en`)
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-
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## Dataset Structure
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-
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### Data Instances
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-
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```
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{
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'translation': {
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'en': 'He said that existing restrictions would henceforth be legally enforceable, and violators would be fined.',
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'vi': 'Ông nói những biện pháp hạn chế hiện tại sẽ được nâng lên thành quy định pháp luật, và những ai vi phạm sẽ chịu phạt.'
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}
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}
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```
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### Data Fields
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- `translation`:
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- `en`: Parallel text in English.
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- `vi`: Parallel text in Vietnamese.
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-
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### Data Splits
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-
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The dataset is in a single "train" split.
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-
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| | train |
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|--------------------|--------:|
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| Number of examples | 4163853 |
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-
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## Dataset Creation
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-
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### Curation Rationale
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-
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[More Information Needed]
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-
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-
### Source Data
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-
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#### Initial Data Collection and Normalization
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-
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[More Information Needed]
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-
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#### Who are the source language producers?
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-
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[More Information Needed]
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-
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### Annotations
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-
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#### Annotation process
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-
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[More Information Needed]
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-
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#### Who are the annotators?
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-
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[More Information Needed]
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-
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### Personal and Sensitive Information
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-
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[More Information Needed]
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-
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-
## Considerations for Using the Data
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-
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-
### Social Impact of Dataset
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-
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[More Information Needed]
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-
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-
### Discussion of Biases
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-
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-
[More Information Needed]
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-
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### Other Known Limitations
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-
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[More Information Needed]
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-
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## Additional Information
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-
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### Dataset Curators
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-
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[More Information Needed]
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-
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### Licensing Information
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-
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[Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)](https://creativecommons.org/licenses/by-nc-sa/4.0/).
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-
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### Citation Information
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```bibtex
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@article{mTet2022,
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author = {Chinh Ngo, Hieu Tran, Long Phan, Trieu H. Trinh, Hieu Nguyen, Minh Nguyen, Minh-Thang Luong},
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title = {MTet: Multi-domain Translation for English and Vietnamese},
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journal = {https://github.com/vietai/mTet},
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year = {2022},
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}
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```
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-
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### Contributions
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-
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Thanks to [@albertvillanova](https://huggingface.co/albertvillanova) for adding this dataset.
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---
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2 |
+
annotations_creators:
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3 |
+
- no-annotation
|
4 |
+
language_creators:
|
5 |
+
- found
|
6 |
+
language:
|
7 |
+
- en
|
8 |
+
- vi
|
9 |
+
license:
|
10 |
+
- cc-by-nc-sa-4.0
|
11 |
+
multilinguality:
|
12 |
+
- translation
|
13 |
+
pretty_name: MTet
|
14 |
+
size_categories:
|
15 |
+
- 1M<n<10M
|
16 |
+
source_datasets:
|
17 |
+
- original
|
18 |
+
- extended|bible_para
|
19 |
+
- extended|kde4
|
20 |
+
- extended|opus_gnome
|
21 |
+
- extended|open_subtitles
|
22 |
+
- extended|tatoeba
|
23 |
+
task_categories:
|
24 |
+
- conditional-text-generation
|
25 |
+
task_ids:
|
26 |
+
- machine-translation
|
27 |
+
---
|
28 |
+
|
29 |
+
# Dataset Card for MTet
|
30 |
+
|
31 |
+
## Table of Contents
|
32 |
+
- [Table of Contents](#table-of-contents)
|
33 |
+
- [Dataset Description](#dataset-description)
|
34 |
+
- [Dataset Summary](#dataset-summary)
|
35 |
+
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
|
36 |
+
- [Languages](#languages)
|
37 |
+
- [Dataset Structure](#dataset-structure)
|
38 |
+
- [Data Instances](#data-instances)
|
39 |
+
- [Data Fields](#data-fields)
|
40 |
+
- [Data Splits](#data-splits)
|
41 |
+
- [Dataset Creation](#dataset-creation)
|
42 |
+
- [Curation Rationale](#curation-rationale)
|
43 |
+
- [Source Data](#source-data)
|
44 |
+
- [Annotations](#annotations)
|
45 |
+
- [Personal and Sensitive Information](#personal-and-sensitive-information)
|
46 |
+
- [Considerations for Using the Data](#considerations-for-using-the-data)
|
47 |
+
- [Social Impact of Dataset](#social-impact-of-dataset)
|
48 |
+
- [Discussion of Biases](#discussion-of-biases)
|
49 |
+
- [Other Known Limitations](#other-known-limitations)
|
50 |
+
- [Additional Information](#additional-information)
|
51 |
+
- [Dataset Curators](#dataset-curators)
|
52 |
+
- [Licensing Information](#licensing-information)
|
53 |
+
- [Citation Information](#citation-information)
|
54 |
+
- [Contributions](#contributions)
|
55 |
+
|
56 |
+
## Dataset Description
|
57 |
+
|
58 |
+
- **Homepage:** https://translate.vietai.org/
|
59 |
+
- **Repository:** https://github.com/vietai/mTet
|
60 |
+
- **Paper:**
|
61 |
+
- **Leaderboard:**
|
62 |
+
- **Point of Contact:**
|
63 |
+
|
64 |
+
### Dataset Summary
|
65 |
+
|
66 |
+
MTet (Multi-domain Translation for English-Vietnamese) dataset contains roughly 4.2 million English-Vietnamese pairs of
|
67 |
+
texts, ranging across multiple different domains such as medical publications, religious texts, engineering articles,
|
68 |
+
literature, news, and poems.
|
69 |
+
|
70 |
+
This dataset extends our previous SAT (Style Augmented Translation) dataset (v1.0) by adding more high-quality
|
71 |
+
English-Vietnamese sentence pairs on various domains.
|
72 |
+
|
73 |
+
### Supported Tasks and Leaderboards
|
74 |
+
|
75 |
+
- Machine Translation
|
76 |
+
|
77 |
+
### Languages
|
78 |
+
|
79 |
+
The languages in the dataset are:
|
80 |
+
- Vietnamese (`vi`)
|
81 |
+
- English (`en`)
|
82 |
+
|
83 |
+
## Dataset Structure
|
84 |
+
|
85 |
+
### Data Instances
|
86 |
+
|
87 |
+
```
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88 |
+
{
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89 |
+
'translation': {
|
90 |
+
'en': 'He said that existing restrictions would henceforth be legally enforceable, and violators would be fined.',
|
91 |
+
'vi': 'Ông nói những biện pháp hạn chế hiện tại sẽ được nâng lên thành quy định pháp luật, và những ai vi phạm sẽ chịu phạt.'
|
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+
}
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+
}
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+
```
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95 |
+
|
96 |
+
### Data Fields
|
97 |
+
|
98 |
+
- `translation`:
|
99 |
+
- `en`: Parallel text in English.
|
100 |
+
- `vi`: Parallel text in Vietnamese.
|
101 |
+
|
102 |
+
### Data Splits
|
103 |
+
|
104 |
+
The dataset is in a single "train" split.
|
105 |
+
|
106 |
+
| | train |
|
107 |
+
|--------------------|--------:|
|
108 |
+
| Number of examples | 4163853 |
|
109 |
+
|
110 |
+
## Dataset Creation
|
111 |
+
|
112 |
+
### Curation Rationale
|
113 |
+
|
114 |
+
[More Information Needed]
|
115 |
+
|
116 |
+
### Source Data
|
117 |
+
|
118 |
+
#### Initial Data Collection and Normalization
|
119 |
+
|
120 |
+
[More Information Needed]
|
121 |
+
|
122 |
+
#### Who are the source language producers?
|
123 |
+
|
124 |
+
[More Information Needed]
|
125 |
+
|
126 |
+
### Annotations
|
127 |
+
|
128 |
+
#### Annotation process
|
129 |
+
|
130 |
+
[More Information Needed]
|
131 |
+
|
132 |
+
#### Who are the annotators?
|
133 |
+
|
134 |
+
[More Information Needed]
|
135 |
+
|
136 |
+
### Personal and Sensitive Information
|
137 |
+
|
138 |
+
[More Information Needed]
|
139 |
+
|
140 |
+
## Considerations for Using the Data
|
141 |
+
|
142 |
+
### Social Impact of Dataset
|
143 |
+
|
144 |
+
[More Information Needed]
|
145 |
+
|
146 |
+
### Discussion of Biases
|
147 |
+
|
148 |
+
[More Information Needed]
|
149 |
+
|
150 |
+
### Other Known Limitations
|
151 |
+
|
152 |
+
[More Information Needed]
|
153 |
+
|
154 |
+
## Additional Information
|
155 |
+
|
156 |
+
### Dataset Curators
|
157 |
+
|
158 |
+
[More Information Needed]
|
159 |
+
|
160 |
+
### Licensing Information
|
161 |
+
|
162 |
+
[Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)](https://creativecommons.org/licenses/by-nc-sa/4.0/).
|
163 |
+
|
164 |
+
### Citation Information
|
165 |
+
|
166 |
+
```bibtex
|
167 |
+
@article{mTet2022,
|
168 |
+
author = {Chinh Ngo, Hieu Tran, Long Phan, Trieu H. Trinh, Hieu Nguyen, Minh Nguyen, Minh-Thang Luong},
|
169 |
+
title = {MTet: Multi-domain Translation for English and Vietnamese},
|
170 |
+
journal = {https://github.com/vietai/mTet},
|
171 |
+
year = {2022},
|
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+
}
|
173 |
+
```
|
174 |
+
|
175 |
+
### Contributions
|
176 |
+
|
177 |
+
Thanks to [@albertvillanova](https://huggingface.co/albertvillanova) for adding this dataset.
|