---
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)