|
--- |
|
license: apache-2.0 |
|
task_categories: |
|
- translation |
|
language: |
|
- lo |
|
- vi |
|
- zh |
|
--- |
|
|
|
# These 2 Datasets are from VLSP Evaluation Campaigns for Machine Translation Shared Task |
|
|
|
## 1) VLSP 2022 Dataset |
|
**Task Description:** |
|
- **Machine Translation Shared Task:** |
|
Chinese-Vietnamese Machine Translations (Chinese ↔ Vietnamese): The participants need to handle a scenario with limited data. Furthermore, since Chinese and Vietnamese can be considered similar languages to some degree (e.g., many Sino-Vietnamese words have a 1-to-1 mapping in meaning with their Chinese counterparts), participants could employ unique methods designed for similar language pairs in this task. |
|
|
|
### Bilingual Training and Evaluation Corpora Statistics: |
|
|
|
| Task | Dataset | Sentences | Tokens (Vi) | Tokens (Zh) | |
|
|--------|---------|-----------|-------------|-------------| |
|
| Vi ↔ Zh| Train | 300,348 | 43,762 | 141,879 | |
|
| | Dev | 1,000 | 2,545 | 3,796 | |
|
| | Test | 1,000 | 2,454 | 4,078 | |
|
|
|
**Link:** [VLSP 2022 Evaluation Campaign](https://vlsp.org.vn/vlsp2022/eval/mt) |
|
|
|
--- |
|
|
|
## 2) VLSP 2023 Dataset |
|
**Task Description:** |
|
- **Machine Translation Shared Task:** |
|
The 2023 shared task introduced two sub-tasks on Lao-Vietnamese Machine Translations (Lao ↔ Vietnamese). As in previous years, participants dealt with a scenario of limited data. Lao and Vietnamese share similarities (e.g., many Vietnamese words have a 1-to-1 mapping in meaning with their Lao counterparts), enabling participants to apply innovative methods for similar language pairs in this task. |
|
|
|
### Bilingual Training and Evaluation Corpora Statistics: |
|
|
|
| Task | Dataset | Sentences | Tokens (Vi) | Tokens (Lo) | |
|
|--------|---------|-----------|-------------|-------------| |
|
| Vi ↔ Lo| Train | 100,000 | 2,850,755 | 4,070,248 | |
|
| | Dev | 1,000 | 52,821 | 72,789 | |
|
| | Test | 1,000 | 32,386 | 49,175 | |
|
|
|
**Link:** [VLSP 2023 Evaluation Campaign](https://vlsp.org.vn/vlsp2023/eval/mt) |
|
|
